CN115314553B - Method, device, equipment, system and readable storage medium for data processing - Google Patents
Method, device, equipment, system and readable storage medium for data processing Download PDFInfo
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- 238000012545 processing Methods 0.000 title claims abstract description 67
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000007781 pre-processing Methods 0.000 claims abstract description 171
- 238000004458 analytical method Methods 0.000 claims description 48
- 238000012795 verification Methods 0.000 claims description 36
- 238000004364 calculation method Methods 0.000 claims description 35
- 238000004891 communication Methods 0.000 claims description 13
- 238000004519 manufacturing process Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000003672 processing method Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 238000002372 labelling Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000002203 pretreatment Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/08—Protocols for interworking; Protocol conversion
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
According to the method, the device, the equipment, the system and the readable storage medium for processing the data, the electronic equipment determines the target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule by acquiring the data to be uploaded of the target equipment and the data type of the data to be uploaded, preprocesses the data to be uploaded based on the target preprocessing rule to obtain the preprocessed data to be uploaded, and sends the preprocessed data to be uploaded to the server. Therefore, on a channel of the target equipment for sending the data to be uploaded to the server, the data to be uploaded is preprocessed by the electronic equipment, and the data is preprocessed by the upper computer, so that the data processing time of the server is reduced, the preprocessing pressure of the server is reduced, and the efficiency of the server is improved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a method, an apparatus, a device, a system, and a readable storage medium for data processing.
Background
In a production environment such as a factory, a plurality of devices are often arranged in the factory or on a production line, and data acquired by the devices are required to be uploaded to a cloud server for unified management and use.
After receiving these data, the cloud server is generally unable to directly use the data, and needs to process the data, for example, perform different parsing processes on the original data sent by the device according to different protocols.
Because the data formats collected by different devices are different, the data types are multiple, the cloud server needs to preprocess the data of different types, and the data processing efficiency of the cloud server is low.
Disclosure of Invention
In view of the foregoing problems in the related art, the present application provides a method, apparatus, device, system, and readable storage medium for data processing.
In a first aspect, an embodiment of the present application provides a method for data processing, where the method includes:
Acquiring data to be uploaded of target equipment and a data type of the data to be uploaded;
determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule;
preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded;
And sending the preprocessed data to be uploaded to a server.
In some embodiments, the preprocessing rule includes an parsing manner, and determining, according to a correspondence between a data type and the preprocessing rule, a target preprocessing rule corresponding to the data to be uploaded includes:
Determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode;
The preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, including:
And analyzing the data to be uploaded based on the target analysis mode to obtain the preprocessed data to be uploaded.
In some embodiments, the preprocessing rule includes an parsing manner and a calculation rule, and the determining, according to a correspondence between a data type and the preprocessing rule, a target preprocessing rule corresponding to the data to be uploaded includes:
Determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode;
Determining a target calculation rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the calculation rule;
The preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, including:
Analyzing the data to be uploaded based on the target analysis mode to obtain analyzed data to be uploaded;
and processing the analyzed data to be uploaded based on the target calculation rule to obtain preprocessed data to be uploaded.
In some embodiments, before determining the target preprocessing rule corresponding to the data to be uploaded according to the correspondence between the data type and the preprocessing rule, the method further includes:
And receiving the data type and the preprocessing rule sent by the server.
In some embodiments, before determining the target preprocessing rule corresponding to the data to be uploaded according to the correspondence between the data type and the preprocessing rule, the method further includes:
receiving the corresponding relation between the data type input by the user and the preprocessing rule;
The method further comprises the steps of:
And sending the corresponding relation between the data type and the preprocessing rule to the server, so that the server sends the corresponding relation between the data type and the preprocessing rule to other devices except the target device.
In some embodiments, the obtaining the data to be uploaded of the target device and the data type of the data to be uploaded includes:
Receiving an uploading message sent by the target device, wherein the uploading message comprises data to be uploaded and parameter information of the data to be uploaded, and the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded;
and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
In some embodiments, the obtaining the data to be uploaded of the target device and the data type of the data to be uploaded includes:
receiving data to be uploaded of target equipment and parameter information of the data to be uploaded, which are input by a user, wherein the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded;
and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
In some embodiments, the preprocessing the data to be uploaded based on the target preprocessing rule, before obtaining the preprocessed data to be uploaded, further includes:
carrying out format verification on the data to be uploaded of the target equipment input by the user to obtain a format verification result, wherein the format verification result comprises accurate data and data errors;
The preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, including:
If the data is accurate as a result of the format verification, preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded.
In a second aspect, an embodiment of the present application provides an apparatus for data processing, including:
The acquisition module is used for acquiring data to be uploaded of the target equipment and the data type of the data to be uploaded;
the processing module is used for determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule; preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded;
And the sending module is used for sending the preprocessed data to be uploaded to a server.
In some embodiments, the preprocessing rule includes an parsing mode, and the processing module is specifically configured to:
Determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode; and analyzing the data to be uploaded based on the target analysis mode to obtain the preprocessed data to be uploaded.
In some embodiments, the preprocessing rule includes an parsing mode and a calculation rule, and the processing module is specifically configured to:
Determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode; determining a target calculation rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the calculation rule; analyzing the data to be uploaded based on the target analysis mode to obtain analyzed data to be uploaded; and processing the analyzed data to be uploaded based on the target calculation rule to obtain preprocessed data to be uploaded.
In some embodiments, the apparatus further comprises:
and the receiving module is used for receiving the data type and the preprocessing rule sent by the server.
In some embodiments, the apparatus further comprises:
the receiving module is used for receiving the corresponding relation between the data type input by the user and the preprocessing rule;
The sending module is further configured to:
And sending the corresponding relation between the data type and the preprocessing rule to the server, so that the server sends the corresponding relation between the data type and the preprocessing rule to other devices except the target device.
In some embodiments, the obtaining module is specifically configured to:
Receiving an uploading message sent by the target device, wherein the uploading message comprises data to be uploaded and parameter information of the data to be uploaded, and the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded; and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
In some embodiments, the obtaining module is specifically configured to:
Receiving data to be uploaded of target equipment and parameter information of the data to be uploaded, which are input by a user, wherein the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded; and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
In some embodiments, the apparatus further comprises:
The verification module is used for carrying out format verification on the data to be uploaded of the target equipment input by the user to obtain a format verification result, wherein the format verification result comprises accurate data and data errors;
The processing module is specifically configured to:
If the data is accurate as a result of the format verification, preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded.
In a third aspect, an embodiment of the present application provides an electronic device, including:
A memory and a processor, said memory having stored thereon a computer program which, when executed by said processor, performs the method of data processing as described in the first aspect above.
In a fourth aspect, an embodiment of the present application provides a data processing system, including: target equipment, an upper computer and a server; the target equipment is in communication connection with the upper computer, and the upper computer is in communication connection with the server; the upper computer acquires data to be uploaded of the target equipment and the data type of the data to be uploaded; determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule; preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded; and sending the preprocessed data to be uploaded to the server.
In a fifth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program executable by one or more processors for implementing a method of data processing as in the first aspect.
According to the method, the device, the equipment, the system and the readable storage medium for processing the data, the electronic equipment determines the target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule by acquiring the data to be uploaded of the target equipment and the data type of the data to be uploaded, preprocesses the data to be uploaded based on the target preprocessing rule to obtain the preprocessed data to be uploaded, and sends the preprocessed data to be uploaded to the server. Therefore, on a channel of the target equipment for sending the data to be uploaded to the server, the data to be uploaded is preprocessed by the electronic equipment, and the data is preprocessed by the upper computer, so that the data processing time of the server is reduced, the preprocessing pressure of the server is reduced, and the efficiency of the server is improved.
Drawings
The application will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a data processing system according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for data processing according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 4 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be further described in detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
If a similar description of "first\second\third" appears in the application document, the following description is added, in which the terms "first\second\third" are merely distinguishing between similar objects and do not represent a particular ordering of the objects, it being understood that the "first\second\third" may be interchanged in a particular order or precedence, where allowed, to enable embodiments of the application described herein to be practiced in an order other than that illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.
In a production environment such as a factory, a plurality of devices are often arranged in the factory or on a production line, and data acquired by the devices are required to be uploaded to a cloud server for unified management and use. There are various methods for collecting data by the device at present, including, for example, collection by manual recording, gateway uploading, etc. And the data formats collected by different devices may be different, so that the data received by the cloud server is various.
After receiving these data, the cloud server is generally unable to directly use the data, and needs to process the data, for example, perform different parsing processes on the original data sent by the device according to different protocols. Therefore, the cloud server data processing efficiency is low, and the cloud data processing pressure is high.
Based on the problems existing in the related art, an embodiment of the present application provides a data processing system, which includes a target device, an electronic device, and a server; the target device is communicatively connected to the electronic device, and the electronic device is communicatively connected to the server. The number of the target devices can be one or more, the number of the electronic devices can be one or more, the one or more target devices are respectively connected with an upper computer, and all the upper computers are respectively connected with the server.
The target device may be a device in a production environment such as a factory, for example, a cardboard burst instrument, a thermometer, a multimeter, or the like.
The electronic device may also be an upper computer, a mobile terminal, a computer, a server, a 3D screen device, etc. The mobile terminal may be a smart phone, tablet, notebook, wearable device, smart mobile device, etc., which may include a smart phone, personal digital assistant, gaming device, navigation device, handheld terminal, etc.
Alternatively, many existing production devices need to be connected to an upper computer, so that the existing upper computer can be used as an electronic device to preprocess data.
The server may be one server or may be a server cluster formed by a plurality of servers.
Alternatively, a server may be disposed at the cloud end, and the server may be referred to as a cloud end server.
According to the system provided by the embodiment of the application, the electronic equipment is added on the channel for transmitting data between the server and the equipment of the original system, so that the data to be uploaded of the equipment is preprocessed through the electronic equipment in the process of data transmission and acquisition of the equipment, the preprocessed data to be uploaded is obtained, and the preprocessed data to be uploaded is sent to the server, so that the preprocessing pressure of the server is reduced through the electronic equipment, and the efficiency of the server is improved. The upper computer carries out preprocessing on the equipment data and uploads the equipment data to the cloud server, so that the variety of the data uploaded to the cloud can be reduced, and the cloud data processing pressure is reduced.
In some scenes, a plurality of target devices are provided, a part of target devices can be connected to one electronic device, a part of target devices are connected to another electronic device, and so on, so that the processing pressure of the server to be uploaded data is distributed to a plurality of electronic devices, the preprocessing efficiency is improved while the preprocessing pressure of the server is reduced, the efficiency of the server is improved, and the data processing efficiency of the cloud server is improved.
Taking the system shown in fig. 1 as an example, before the device data is uploaded to the cloud, the device data is preprocessed by the upper computers, and the multiple upper computers are equivalent to distributed processing data, so that the data processing time is shortened, the cloud data processing pressure is reduced, and the data processing speed is increased.
The following description will be made by taking a target device as a device, an electronic device as an upper computer, and a server as a cloud server.
Referring to fig. 1, fig. 1 is a schematic diagram of a data processing system according to an embodiment of the present application. The upper computer and the equipment can be connected through a serial port or a network port and the like, the upper computer can be connected with the cloud server through a wired or wireless mode, for example, the upper computer can be connected with the cloud server through a hypertext transfer protocol (Hyper Text Transfer Protocol, HTTP for short) interface, and the data transmission mode of the upper computer and the cloud server can be transmitted through a message queue in a message subscribing and publishing mode. The devices can be grouped according to the placed areas or the production lines, each group of devices is respectively connected with the same upper computer, for example, one workshop or a plurality of devices of one production line are connected with one upper computer according to the actual conditions of the production site, and the devices upload data to the upper computer through a network port or a serial port. In this embodiment, the data may be referred to as device raw data or raw data. The upper computer comprises input and output equipment, and also allows equipment data to be manually collected and manually input into the upper computer. The data processing program can be deployed in the upper computer, a worker can define an analysis protocol in the upper computer according to the condition of the connecting equipment in the upper computer and the actual equipment condition of the production line, and the cloud server can issue the latest analysis protocol and can also self-define analysis rules for configuring the data of the related equipment. Furthermore, independent calculation rules can be formulated for each analysis protocol or the self-defined analysis rules, or the calculation rules of general related data can be self-defined and configured, or the self-defined analysis rules and calculation rules in other upper computers issued by the cloud are used, so that the upper computers preprocess the data of the equipment, and then the preprocessed data are sent to the cloud server.
Therefore, the processing pressure of the cloud server on the original data of the equipment is distributed to a plurality of upper computers, so that the preprocessing efficiency is improved while the preprocessing pressure of the cloud server is reduced, and the efficiency of the server is improved.
The data processing method provided by the embodiment of the application can be applied to the data processing system. The method of data processing provided by the present application is described in the following with specific embodiments.
Referring to fig. 2, fig. 2 is a flowchart of a data processing method according to an embodiment of the present application, and as shown in fig. 2, the embodiment is performed by an electronic device, which may be the electronic device in the above embodiment. The method of the present embodiment includes the steps of:
Step S21: and acquiring the data to be uploaded of the target equipment and the data type of the data to be uploaded.
The data to be uploaded of the target device is data which is acquired or generated by the target device and needs to be uploaded to the server through the electronic device.
The data type of the data to be uploaded is a kind of attribute of the data to be uploaded.
Alternatively, the data type may be marked by a data type identification. For example, the data type identification may be a model identification of the target device or a data type number.
Step S22: and determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule.
The corresponding relation between the data types and the preprocessing rules is prestored, and the preprocessing rules corresponding to different data types are stored.
The preprocessing rule refers to a method of preprocessing data, and may be, for example, an analysis protocol or an analysis rule for analyzing data, or may be a rule for counting or calculating data, which is not limited in the present application.
And the electronic equipment acquires a corresponding preprocessing rule in the corresponding relation between the data type and the preprocessing rule according to the data type of the data to be uploaded, namely the target preprocessing rule corresponding to the data to be uploaded.
Step S23: and preprocessing the data to be uploaded based on the target preprocessing rule to obtain the preprocessed data to be uploaded.
Step S24: and sending the preprocessed data to be uploaded to a server.
According to the method, the electronic device determines the target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule by acquiring the data to be uploaded of the target device and the data type of the data to be uploaded, preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, and sending the preprocessed data to be uploaded to the server. Therefore, on a channel of the target equipment for sending the data to be uploaded to the server, the data to be uploaded is preprocessed by the electronic equipment, and the data is preprocessed by the upper computer, so that the data processing time of the server is reduced, the preprocessing pressure of the server is reduced, and the efficiency of the server is improved.
In some scenarios, there are various ways of uploading the data to be uploaded of the target device acquired in step 21, and two ways are described below in an exemplary manner by using specific embodiments.
In one possible implementation, the acquired data to be uploaded of the target device may be raw data sent by the target device to the electronic device.
Further, step 21 may be implemented by the following steps 211 and 212 on the basis of any of the above embodiments.
Step 211: and receiving an uploading message sent by the target equipment.
The uploading information comprises data to be uploaded and parameter information of the data to be uploaded, and the uploading information is used for indicating the data to be uploaded to be sent to the server after being preprocessed.
Wherein the parameter information includes: identification information of the target device or type identification of the data to be uploaded. The identification information of the target device is device type indicating the target device, for example, identification number (Identity document, abbreviated ID) information of the target device or model identification information of the target device. The type identifier of the data to be uploaded is used for indicating the type of the data to be uploaded, for example, the type identifier of the data to be uploaded may be the type ID of the data to be uploaded.
Step 212: and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
The data type of the data to be uploaded of the corresponding target equipment can be determined according to the identification information of the target equipment; or determining the data type of the corresponding data to be uploaded according to the type identification of the data to be uploaded.
In another possible implementation manner, the acquired data to be uploaded of the target device may also be data of the target device manually acquired and input into the electronic device.
On the basis of any of the above embodiments, further, step 21 may be implemented by the following steps 21a and 21 b.
Step 21a: and receiving the data to be uploaded and the parameter information of the data to be uploaded of the target equipment, which are input by the user.
Wherein the parameter information includes: identification information of the target device or type identification of the data to be uploaded. The parameter information in this embodiment is similar to the parameter information mentioned in step 211, and will not be repeated here.
Step 21b: and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
Step 21b is similar to step 212 described above and will not be described again here.
In this embodiment, under the condition that the data to be uploaded cannot be directly sent to the target device, the data to be uploaded can be manually input into the electronic device, so that the type of the data to be uploaded processed by the electronic device is widened.
In some embodiments, there may be some cases of data errors in the data to be uploaded entered by the user in step 21 a. Therefore, in order to prevent possible errors of the data analyzed by the custom analysis rule during data analysis, the data to be uploaded can be verified before being preprocessed. Specific examples are described in detail below.
On the basis of the above embodiment, further, the following steps may be included before step 23
Step 25: and carrying out format verification on the data to be uploaded of the target equipment input by the user to obtain a format verification result.
Wherein the format verification result comprises data accuracy and data errors.
Step 26: and judging whether the format verification result is accurate.
If yes, go on to step 23; if not, go on to step 27.
The data input by manual acquisition is subjected to format verification, so that data errors are prevented, the accuracy of the data is ensured, the verified data can be analyzed and processed and simply calculated, and the data with the format verification problem is specially marked.
Step 27: and labeling the data to be uploaded.
And labeling can be performed under the condition that the format verification result is data errors, so that special labeling is performed on abnormal data. The label is used for indicating format errors of the data to be uploaded.
In this embodiment, the electronic device performs format verification on the manually collected data to be uploaded, and may perform a preprocessing process when verification is passed. Thereby improving the readability and accuracy of the data uploaded to the cloud.
In some embodiments, the general pre-treatment may take a variety of forms, and the specific manner of pre-treatment is exemplified below in specific embodiments.
In one possible implementation, the preprocessing may be parsing the data.
On the basis of any of the above embodiments, the preprocessing rule in step 22 includes an parsing method, and step 22 may be implemented as follows step 22 a.
Step 22a: and determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode.
Alternatively, the parsing protocol may be at least one of decoding mode, data dictionary, and calculation formula.
Accordingly, step 23 may be implemented by the following step 23 a.
Step 23a: and analyzing the data to be uploaded based on the target analysis mode to obtain the preprocessed data to be uploaded.
Illustratively, the cardboard burst instrument hexadecimal format numbers (e.g., 4E5043533A for burst value. 2C6C62662F696E322C for lbf/in2.2C6B6762F636D322C for kgf/cm 2). The thermometer and the multimeter can calculate the temperature value or the voltage value according to the analysis protocol calculation rule by decimal format numbers (16010000026000001961) respectively.
In another possible implementation manner, the data size of the data to be uploaded of some target devices is large, and statistics needs to be performed on the parsed data; the data to be uploaded of some target devices is not the final data required by the service, and needs to be processed by some calculation rules, so that the preprocessing can also be the calculation processing of statistics and the like. On the basis of any of the above embodiments, the preprocessing rules in step 22 include calculation rules, and step 22 may be implemented by the following steps:
and determining a target calculation rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the calculation rule.
The calculation rule may be a statistical rule for data, a unit conversion rule, or the like.
Accordingly, step 23 may be implemented by:
And processing the data to be uploaded based on the target calculation rule to obtain the preprocessed data to be uploaded.
In another possible implementation manner, after the analysis processing is performed on the data to be uploaded of some target devices, the data is not the final data required by the service, and some calculation rules need to be processed, so that the preprocessing can also perform calculation processing such as statistics after the analysis processing is performed on the data.
On the basis of any of the above embodiments, the preprocessing rules in step 22 include parsing and calculation rules, and step 22 may be implemented by the following steps 221 and 222.
Step 221: and determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode.
Step 222: and determining a target calculation rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the calculation rule.
It should be noted that, there is no sequence in executing step 221 and step 222. Step 221 may be performed first, followed by step 222; step 222 may be performed first, and then step 221 may be performed; step 221 and step 222 may also be performed simultaneously.
Accordingly, step 23 may be implemented by the following steps 231 and 232.
Step 231: and analyzing the data to be uploaded based on the target analysis mode to obtain analyzed data to be uploaded.
Step 232: and processing the analyzed data to be uploaded based on the target calculation rule to obtain the preprocessed data to be uploaded.
In some embodiments, the correspondence between the data type and the preprocessing rule may be obtained in a plurality of different manners, and in the following, a manner of obtaining the correspondence between the data type and the preprocessing rule is exemplarily described in specific embodiments.
In one possible implementation, step 22 may be sent by a server. For example, when the server has the corresponding relation between the latest data type and the preprocessing rule, the latest data type and the preprocessing rule are issued to all the electronic devices in a unified way.
Further, the following step 220 may be included before step 22 on the basis of any of the above embodiments.
Step 220: and receiving the data type and the preprocessing rule sent by the server.
The following illustrates an exemplary preprocessing rule for parsing a protocol in the system shown in fig. 1. Adding an upper computer between the equipment and the cloud server, preprocessing equipment data in the upper computer, uniformly managing equipment protocols through the cloud server, uniformly issuing all the upper computers by the new and changed protocols, and preprocessing and analyzing the data according to the equipment data analysis protocol. When the newly added preprocessing rule is arranged on the upper computer, the data can be uploaded to the cloud server, and the cloud server shares the corresponding relation between the data type and the preprocessing rule to all the upper computers, so that the sharing and unification of the preprocessing rule data are realized.
In this embodiment, the server uniformly manages the analysis protocol, and issues new and changed preprocessing rules for all electronic devices, so that the electronic devices perform preprocessing analysis on the data according to the device data analysis protocol. The server uniformly manages the corresponding relation between the data types and the preprocessing rules, so that the workload of the electronic equipment for managing the corresponding relation between the data types and the preprocessing rules can be reduced, and the sharing and unification of rule data are realized. Thereby improving the readability and accuracy of the equipment data.
In another possible implementation, the correspondence between the data type and the preprocessing rule in step 22 may be customized. For example, if there is a preprocessing rule corresponding to a data type that is not known at present in the target device connected to the electronic device, the user may define the preprocessing rule corresponding to the data type and store the preprocessing rule in the current electronic device.
Further, the following step 220' may be included before the step 22 on the basis of any of the above embodiments.
Step 220': and receiving the corresponding relation between the data type input by the user and the preprocessing rule.
In this embodiment, the corresponding relationship between the data type and the preprocessing rule may be user-defined, and the custom preprocessing rule added in the upper computer is shared by the server to other electronic devices, so as to ensure timely update of the preprocessing rule, thereby widening the data type of the data to be uploaded for preprocessing, and making the preprocessing application range of the electronic devices wider.
In some scenarios, in step 220', the user defines the data type and the preprocessing rule, and in order to avoid that other data of the same data type is defined again, the user-defined data type and the preprocessing rule may be issued to other electronic devices through the server, which will be described in detail below with specific embodiments.
Further, step 220' may be followed by step 28 as follows.
Step 28: and sending the corresponding relation between the data type and the preprocessing rule to the server so that the server sends the corresponding relation between the data type and the preprocessing rule to other devices except the target device.
The following is a specific example. The upper computer and the cloud server can be connected in a network mode, the data subjected to analysis and calculation processing by the upper computer is uploaded to the cloud server through an open http interface mode of the cloud server, the upper computer can upload custom rules to the cloud server through an http interface mode, analysis rules can be shared to other upper computers through the cloud server, the upper computer can actively acquire analysis protocols and custom rules in the cloud server through the open http interface mode of the cloud server through connected equipment, and the analysis data are provided for other platforms or personnel to use and analyze.
In this embodiment, after a user-defined preprocessing rule is added to an electronic device, a corresponding relationship between a data type and the preprocessing rule may also be uploaded to a server, so that the server may share the data with all other electronic devices, thereby implementing sharing and unification of rule data. Thereby improving the readability and accuracy of the data to be uploaded.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an apparatus for data processing according to an embodiment of the present application, and as shown in fig. 3, the apparatus provided in this embodiment includes:
the acquisition module is used for acquiring data to be uploaded of the target equipment and the data type of the data to be uploaded;
the processing module is used for determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule; preprocessing the data to be uploaded based on a target preprocessing rule to obtain preprocessed data to be uploaded;
and the sending module is used for sending the preprocessed data to be uploaded to the server.
In some embodiments, the preprocessing rule includes an parsing mode, and the processing module is specifically configured to:
determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode; and analyzing the data to be uploaded based on the target analysis mode to obtain the preprocessed data to be uploaded.
In some embodiments, the preprocessing rules include parsing modes and calculation rules, and the processing module is specifically configured to:
Determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode; determining a target calculation rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the calculation rule; analyzing the data to be uploaded based on a target analysis mode to obtain analyzed data to be uploaded; and processing the analyzed data to be uploaded based on the target calculation rule to obtain the preprocessed data to be uploaded.
In some embodiments, the apparatus further comprises:
and the receiving module is used for receiving the data type and the preprocessing rule sent by the server.
In some embodiments, the apparatus further comprises:
the receiving module is used for receiving the corresponding relation between the data type input by the user and the preprocessing rule;
The sending module is further configured to:
and sending the corresponding relation between the data type and the preprocessing rule to the server so that the server sends the corresponding relation between the data type and the preprocessing rule to other devices except the target device.
In some embodiments, the obtaining module is specifically configured to:
Receiving an uploading message sent by target equipment, wherein the uploading message comprises data to be uploaded and parameter information of the data to be uploaded, and the parameter information comprises: identification information of target equipment or type identification of data to be uploaded; and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
In some embodiments, the obtaining module is specifically configured to:
Receiving data to be uploaded and parameter information of the data to be uploaded of target equipment input by a user, wherein the parameter information comprises: identification information of target equipment or type identification of data to be uploaded; and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
In some embodiments, the apparatus further comprises:
the verification module is used for carrying out format verification on the data to be uploaded of the target equipment input by the user to obtain a format verification result, wherein the format verification result comprises accurate data and data errors;
The processing module is specifically used for:
if the data is accurate as a result of the format verification, preprocessing the data to be uploaded based on a target preprocessing rule to obtain preprocessed data to be uploaded.
The implementation principle and effect of the device provided in this embodiment are similar to those of the method embodiment described above, and are not repeated here.
An embodiment of the present application provides an electronic device, including:
a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, performs a method of data processing as provided by any of the method embodiments described above.
In a fourth aspect, an embodiment of the present application provides a data processing system, including: target equipment, an upper computer and a server; the target equipment is in communication connection with the upper computer, and the upper computer is in communication connection with the server; the method comprises the steps that an upper computer obtains data to be uploaded of target equipment and a data type of the data to be uploaded; determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule; preprocessing the data to be uploaded based on a target preprocessing rule to obtain preprocessed data to be uploaded; and sending the preprocessed data to be uploaded to a server.
It should be noted that, in the embodiment of the present application, if the above-mentioned data processing method is implemented in the form of a software functional module, and sold or used as a separate product, the data processing method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. Thus, embodiments of the application are not limited to any specific combination of hardware and software.
Accordingly, an embodiment of the present application provides a computer storage medium having stored thereon a computer program which, when executed by a processor, performs steps in the method of data processing provided in the above embodiment.
The embodiment of the application provides electronic equipment; fig. 4 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application, as shown in fig. 4, an electronic device 800 includes: a processor 801, at least one communication bus 802, a user interface 803, at least one external communication interface 804, memory 805. Wherein the communication bus 802 is configured to enable connected communication between these components. The user interface 803 may include a display screen, and the external communication interface 804 may include a standard wired interface and a wireless interface, among others. The processor 801 is configured as a program for executing a method of data processing stored in a memory to realize the steps in the method of data processing provided in the above-described embodiment.
It should be noted here that: the description of the storage medium and the electronic device embodiments above is similar to that of the method embodiments described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and the apparatus of the present application, please refer to the description of the method embodiments of the present application.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application. The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, object or apparatus that comprises the element.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of units is only one logical function division, and there may be other divisions in actual implementation, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.
Or the above-described integrated units of the application may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied essentially or in part in the form of a software product stored in a storage medium, including instructions for causing a controller to perform all or part of the methods of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable storage device, a ROM, a magnetic disk, or an optical disk.
The foregoing is merely an embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered in the protection scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. A method for data processing, which is characterized by being applied to a data processing system, wherein the data processing system comprises a plurality of target devices, a plurality of upper computers and a server; the target devices are grouped according to the placed areas or the production lines, and each group of target devices is respectively connected with an upper computer in a communication mode; the upper computers are in communication connection with the server; the method comprises the following steps:
Each upper computer acquires data to be uploaded of target equipment corresponding to the group and a data type of the data to be uploaded;
determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule;
preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded;
Sending the preprocessed data to be uploaded to a server;
The obtaining the data to be uploaded of the target device corresponding to the packet and the data type of the data to be uploaded includes:
receiving data to be uploaded of target equipment and parameter information of the data to be uploaded, which are input by a user, wherein the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded;
determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded;
The preprocessing the data to be uploaded based on the target preprocessing rule, before obtaining the preprocessed data to be uploaded, further comprises:
carrying out format verification on the data to be uploaded of the target equipment input by the user to obtain a format verification result, wherein the format verification result comprises accurate data and data errors;
The preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, including:
If the data is accurate as a result of format verification, preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded;
And if the data format is wrong, marking the data to be uploaded, wherein the marking is used for indicating the data format error to be uploaded.
2. The method according to claim 1, wherein the preprocessing rule includes an parsing method, and the determining, according to a correspondence between a data type and the preprocessing rule, a target preprocessing rule corresponding to the data to be uploaded includes:
Determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode;
The preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, including:
And analyzing the data to be uploaded based on the target analysis mode to obtain the preprocessed data to be uploaded.
3. The method according to claim 1, wherein the preprocessing rule includes an parsing mode and a calculation rule, and the determining, according to a correspondence between a data type and the preprocessing rule, a target preprocessing rule corresponding to the data to be uploaded includes:
Determining a target analysis mode corresponding to the data to be uploaded according to the corresponding relation between the data type and the analysis mode;
Determining a target calculation rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the calculation rule;
The preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, including:
Analyzing the data to be uploaded based on the target analysis mode to obtain analyzed data to be uploaded;
and processing the analyzed data to be uploaded based on the target calculation rule to obtain preprocessed data to be uploaded.
4. The method according to claim 1, wherein before determining the target preprocessing rule corresponding to the data to be uploaded according to the correspondence between the data type and the preprocessing rule, the method further comprises:
And receiving the data type and the preprocessing rule sent by the server.
5. The method according to claim 1, wherein before determining the target preprocessing rule corresponding to the data to be uploaded according to the correspondence between the data type and the preprocessing rule, the method further comprises:
receiving the corresponding relation between the data type input by the user and the preprocessing rule;
The method further comprises the steps of:
And sending the corresponding relation between the data type and the preprocessing rule to the server, so that the server sends the corresponding relation between the data type and the preprocessing rule to other devices except the target device.
6. The method according to claim 1, wherein the obtaining the data to be uploaded of the target device and the data type of the data to be uploaded comprises:
Receiving an uploading message sent by the target device, wherein the uploading message comprises data to be uploaded and parameter information of the data to be uploaded, and the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded;
and determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded.
7. An apparatus for data processing, comprising:
The acquisition module is used for acquiring data to be uploaded of the target equipment and the data type of the data to be uploaded;
the processing module is used for determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule; preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded;
The sending module is used for sending the preprocessed data to be uploaded to a server;
The obtaining module is used for obtaining data to be uploaded of the target device and a data type of the data to be uploaded, and comprises the following steps: receiving data to be uploaded of target equipment and parameter information of the data to be uploaded, which are input by a user, wherein the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded; determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded;
The verification module is used for carrying out format verification on the data to be uploaded of the target equipment input by the user to obtain a format verification result, wherein the format verification result comprises accurate data and data errors;
The processing module is specifically configured to, if the result of the format verification is that the data is accurate, pre-process the data to be uploaded based on the target pre-processing rule, so as to obtain pre-processed data to be uploaded; and if the data format is wrong, marking the data to be uploaded, wherein the marking is used for indicating the data format error to be uploaded.
8. An electronic device, comprising:
A memory and a processor, said memory having stored thereon a computer program which, when executed by said processor, performs a method of data processing according to any of claims 1 to 6.
9. A data processing system, comprising: the system comprises a plurality of target devices, a plurality of upper computers and a server; the target devices are grouped according to the placed areas or the production lines, each group of target devices is respectively connected with an upper computer in a communication mode, and the upper computers are connected with the server in a communication mode;
Each upper computer acquires data to be uploaded of target equipment corresponding to the group and a data type of the data to be uploaded; determining a target preprocessing rule corresponding to the data to be uploaded according to the corresponding relation between the data type and the preprocessing rule; preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded; sending the preprocessed data to be uploaded to the server;
the obtaining the data to be uploaded of the target device corresponding to the packet and the data type of the data to be uploaded includes: receiving data to be uploaded of target equipment and parameter information of the data to be uploaded, which are input by a user, wherein the parameter information comprises: the identification information of the target equipment or the type identification of the data to be uploaded; determining the data type of the data to be uploaded according to the parameter information of the data to be uploaded;
The preprocessing the data to be uploaded based on the target preprocessing rule, before obtaining the preprocessed data to be uploaded, further comprises: carrying out format verification on the data to be uploaded of the target equipment input by the user to obtain a format verification result, wherein the format verification result comprises accurate data and data errors;
The preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded, including:
If the data is accurate as a result of format verification, preprocessing the data to be uploaded based on the target preprocessing rule to obtain preprocessed data to be uploaded;
And if the data format is wrong, marking the data to be uploaded, wherein the marking is used for indicating the data format error to be uploaded.
10. A computer readable storage medium storing a computer program executable by one or more processors for implementing a method of data processing as claimed in any one of claims 1 to 6.
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