CN114731876A - Green and energy-saving greenhouse intelligent heating system and control method thereof - Google Patents

Abstract

The invention discloses a green and energy-saving greenhouse intelligent heating system and a control method thereof, belonging to the technical field of facility agriculture, wherein the system comprises: a solar collector, a thermal insulation water tank, temperature sensors inside and outside the greenhouse and a water tank, a controller, and a heater , pipeline, control valve and radiator, wherein, the solar collector is placed outside the preset greenhouse and is connected to the insulation water tank through the pipeline; the insulation water tank is connected to the radiator through the pipeline, and the pipeline is equipped with a control valve, the control valve and the controller Connection; the controller is connected with the temperature sensor and heater inside and outside the greenhouse and the water tank at the same time, wherein the temperature sensor inside and outside the greenhouse are respectively placed inside and outside the preset greenhouse, and the temperature sensor and heater of the water tank are installed on the inner wall of the heat preservation water tank. and keep the preset distance. The system can reduce the operating cost of the greenhouse in winter, and the heating process is green, energy-saving, and pollution-free, and ensures that the crops are in the optimal temperature growth conditions and improves the energy efficiency ratio of greenhouse production.

Description

A green and energy-saving greenhouse intelligent heating system and its control method

technical field

The invention relates to the technical field of facility agriculture, in particular to a green and energy-saving greenhouse intelligent heating system and a control method thereof.

Background technique

At present, in the field of greenhouse heating and related technical standards, the heating methods are usually air energy heating, combustion heating, electric heating, biological decomposition heating, etc. The disadvantage of these methods is that they require additional energy consumption such as coal and electricity, and will Causes additional exhaust emissions, and there are potential risks such as triggering greenhouse fires.

SUMMARY OF THE INVENTION

The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

To this end, an object of the present invention is to propose a green and energy-saving intelligent heating system for a greenhouse.

Another object of the present invention is to provide a green and energy-saving control method for a greenhouse intelligent heating system.

In order to achieve the above purpose, an embodiment of the present invention proposes a green and energy-saving intelligent heating system for a greenhouse, including: a solar collector, a thermal insulation water tank, a temperature sensor inside the greenhouse, a temperature sensor outside the greenhouse, a water tank temperature sensor, and an intelligent controller , electric auxiliary heater, water pipeline, control valve and aluminum alloy radiator, wherein, the solar collector is placed outside the preset greenhouse, and is connected to the thermal insulation water tank through a pipeline; The water pipeline is connected with the aluminum alloy radiator, and the water delivery pipeline is equipped with the control valve, and the control valve is electrically connected with the intelligent controller; the intelligent controller simultaneously communicates with the greenhouse through the RS485 bus The external temperature sensor, the temperature sensor in the greenhouse, the temperature sensor in the water tank and the electric auxiliary heater are connected, wherein the temperature sensor outside the greenhouse and the temperature sensor in the greenhouse are respectively placed inside and outside the preset greenhouse, Both the water tank temperature sensor and the electric auxiliary heater are installed on the inner wall of the heat preservation water tank and keep a preset distance.

A green and energy-saving intelligent heating system for a greenhouse according to an embodiment of the present invention adopts a prediction method of a thermodynamic model, a control method of deep reinforcement learning, and a temperature anomaly detection and processing mechanism to ensure that the temperature of the greenhouse is kept within a normal range, and at the same time, it adopts a phase of solar energy and electric energy. The combined method uses water pipelines and radiators to heat the greenhouse. On the one hand, it can reduce energy consumption. On the other hand, it has the characteristics of intrinsic safety and no waste gas and slag. On the other hand, it can reduce the operating cost of the greenhouse in winter, and the heating process Green, energy-saving, pollution-free, and ensure that crops are in the optimal temperature growth conditions, and improve the energy efficiency ratio of greenhouse production.

In addition, a green and energy-saving intelligent heating system for a greenhouse according to the above embodiments of the present invention may also have the following additional technical features:

Further, in an embodiment of the present invention, the solar thermal collector is used to collect the thermal radiation energy of the sun during the day, so as to heat the water in the thermal insulation water tank.

Further, in an embodiment of the present invention, the electric auxiliary heater is used for compensating heating means at night, weather conditions with insufficient illuminance, and when the indoor and outdoor temperature difference is too large, to ensure that the water temperature of the thermal insulation water tank is kept within a preset range. .

Further, in an embodiment of the present invention, the intelligent controller uses a non-destructive greenhouse thermodynamic model based on real-time online data and a greenhouse temperature control method based on a deep reinforcement learning algorithm to adjust the control valve to control the aluminum alloy. The hot water flow of the radiator.

Further, in an embodiment of the present invention, the non-destructive greenhouse thermodynamic model based on real-time online data is:

P _sun +P _ele =P _w +P _other

Among them, P _sun is the absorbed solar heat, P _ele is the heat generated by the electric auxiliary heater, P _w is the total heat dissipated by the water, and P _other is the heat lost by the system.

Further, in an embodiment of the present invention, the temperature inside the greenhouse, the temperature outside the greenhouse, and the water temperature are used as state inputs for deep reinforcement learning, and the degree of opening of the control valve and the The switch of the electric auxiliary heater is the deep network parameter output by the action, the return of DQN is set as the absolute value of the given indoor temperature and the real-time temperature, and the greenhouse temperature control method based on the deep reinforcement learning algorithm is constructed.

In order to achieve the above purpose, another embodiment of the present invention provides a green and energy-saving control method for a greenhouse intelligent heating system, including: step S1, using the temperature sensor outside the greenhouse, the temperature sensor inside the greenhouse, and the water tank The temperature sensor collects and stores the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature; Step S2, the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature are processed through the non-destructive greenhouse thermodynamic model based on real-time online data to predict the ideal indoor temperature; step S3, processing the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature through the deep reinforcement learning algorithm-based greenhouse temperature control method to obtain a real-time indoor temperature; Step S4, making the ideal indoor temperature and the real-time indoor temperature as If the difference is not within the preset temperature range, alarm and control the control valve electrically to control the hot water flow of the aluminum alloy radiator, otherwise, no operation is required.

The control method of a green and energy-saving greenhouse intelligent heating system according to the embodiment of the present invention adopts the prediction method of thermodynamic model, the control method of deep reinforcement learning, and the temperature anomaly detection and processing mechanism to ensure that the temperature of the greenhouse is kept within the normal range, and at the same time, the use of solar energy Combined with electricity, the greenhouse is heated by water pipelines and radiators. On the one hand, it can reduce energy consumption. On the other hand, it has the characteristics of intrinsic safety and no waste gas and slag. On the other hand, it can reduce the operating cost of the greenhouse in winter. And the heating process is green, energy-saving, pollution-free, and ensures that the crops are in the optimal temperature growth conditions, and improves the energy efficiency ratio of greenhouse production.

Additional aspects and advantages of the present invention will be set forth, in part, from the following description, and in part will be apparent from the following description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of embodiments taken in conjunction with the accompanying drawings, wherein:

1 is a schematic structural diagram of a green energy-saving intelligent heating system for a greenhouse according to an embodiment of the present invention, the left side of the dotted line is the part installed in the greenhouse, and the right side is the part installed outside the greenhouse;

2 is a flowchart of an algorithm for finding and processing abnormal temperature in a greenhouse according to an embodiment of the present invention;

FIG. 3 is a flowchart of a control method of a green and energy-saving intelligent heating system for a greenhouse according to an embodiment of the present invention.

Description of reference numerals: 100-green and energy-saving greenhouse intelligent heating system, 1-solar heat collector, 2-insulation water tank, 3-greenhouse temperature sensor, 4-greenhouse temperature sensor, 5-water tank temperature sensor, 6-intelligent Controller, 7-electric auxiliary heater, 8-water pipeline, 9-control valve and 10-aluminum alloy radiator.

Detailed ways

The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.

The following describes a green and energy-saving intelligent heating system for a greenhouse and a control method thereof according to the embodiments of the present invention with reference to the accompanying drawings. First, a green and energy-saving intelligent heating system for a greenhouse according to the embodiments of the present invention will be described with reference to the accompanying drawings.

FIG. 1 is a schematic structural diagram of a green and energy-saving intelligent heating system for a greenhouse according to an embodiment of the present invention.

As shown in FIG. 1, the system 100 includes: a solar collector 1, a thermal insulation water tank 2, a temperature sensor 3 inside the greenhouse, a temperature sensor 4 outside the greenhouse, a temperature sensor 5 for the water tank, an intelligent controller 6, an electric auxiliary heater 7, an input Water pipeline 8, control valve 9 and aluminum alloy radiator 10.

Among them, the solar collector 1 is placed outside the preset greenhouse, and is connected to the thermal insulation water tank 2 through a pipeline; the thermal insulation water tank 2 is connected to the aluminum alloy radiator 10 through a water delivery pipeline 8, and the water delivery pipeline (such as PVC) 8 is equipped with a control The valve 9, the control valve 9 is electrically connected with the intelligent controller 6; the intelligent controller 6 is connected with the temperature sensor 4 outside the greenhouse, the temperature sensor 3 in the greenhouse, the temperature sensor 5 in the water tank and the electric auxiliary heater 7 at the same time through the RS485 bus. The outside temperature sensor 4 and the inside temperature sensor 3 in the greenhouse are respectively placed inside and outside the preset greenhouse. The water tank temperature sensor 5 and the electric auxiliary heater 7 are both installed on the inner wall of the heat preservation water tank 2 and maintain a preset distance.

Further, in an embodiment of the present invention, the solar heat collector 1 is connected to the thermal insulation water tank 2 through a pipeline, and collects the thermal radiation energy of the sun during the day to heat the water in the thermal insulation water tank.

Further, in an embodiment of the present invention, the temperature sensor 4 outside the greenhouse, the temperature sensor 3 in the greenhouse, and the temperature sensor 5 in the water tank collect temperature data in real time, and transmit it to the intelligent controller 6 for adjusting the temperature in the greenhouse.

Further, in an embodiment of the present invention, since the thermal insulation water tank 2 cannot maintain the target temperature, an electric auxiliary heater 7 is provided inside the thermal insulation water tank 2 for use at night, in weather conditions with insufficient illuminance, and the temperature difference between indoor and outdoor. When it is too large, the compensation heating method ensures that the water temperature of the thermal insulation water tank 2 is kept within the preset range.

Further, in an embodiment of the present invention, the intelligent controller 6 uses a non-destructive greenhouse thermodynamic model based on real-time online data and a greenhouse temperature control method based on a deep reinforcement learning algorithm to adjust the control valve to control the heat of the aluminum alloy radiator 10. water flow, thereby affecting and adjusting the heating effect of the aluminum alloy radiator 10 on the greenhouse, specifically,

The modeling process of non-destructive greenhouse thermodynamic model based on real-time online data is as follows:

The thermodynamics of the greenhouse is modeled during the normal operation of the greenhouse. The intelligent controller 6 collects and stores the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature. The heat released by the aluminum alloy radiator 10 is:

P _w =CMα(T _in -T _out )

Among them, _Pw is the total heat dissipated by water, C is the specific heat of water, M is the mass of water flowing through the aluminum alloy radiator 10, α is the loss coefficient, and it is assumed that the flow into the aluminum alloy radiator 10 and the flow out of the aluminum alloy are There is a linear relationship between the temperature difference of the radiator 10 and the temperature difference inside and outside the greenhouse, T _in is the temperature inside the greenhouse, and T _out is the temperature outside the greenhouse.

Then the non-destructive greenhouse thermodynamic model based on real-time online data is designed as:

P _sun +P _ele =P _w +P _other

Among them, P _sun is the absorbed solar heat, the solar heat calculation can refer to the parameters provided by the manufacturer, P _ele is the heat generated by the electric auxiliary heater 7, and the calculation can refer to the parameters provided by the manufacturer, P _w is the water dissipation The total heat of , P _other is the heat loss of the system, which is a small fixed value. The model can accurately predict the temperature in the greenhouse under normal conditions under certain meteorological conditions.

Further, in an embodiment of the present invention, the greenhouse temperature control method based on the deep reinforcement learning algorithm uses the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature as the state input of the deep reinforcement learning, and based on the DQN algorithm, it learns under a given indoor temperature condition. The opening of the control valve and the switch of the electric auxiliary heater are the deep network parameters of the action output, and the return of the DQN is set as the absolute value of the given indoor temperature and the real-time temperature, which is constructed by training.

As shown in FIG. 2 , the specific working principle of the embodiment of the present invention is: during operation, the intelligent controller 1 uses the temperature sensor 4 outside the greenhouse, the temperature sensor 3 in the greenhouse, and the temperature sensor 5 in the water tank to collect and store the temperature inside the greenhouse and the temperature outside the greenhouse. and water temperature, the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature are processed through a non-destructive greenhouse thermodynamic model based on real-time online data to predict the ideal indoor temperature, and the temperature inside the greenhouse, the temperature outside the greenhouse and the temperature outside the greenhouse are processed through a greenhouse temperature control method based on a deep reinforcement learning algorithm. Water temperature to obtain the real-time indoor temperature, make the difference between the ideal indoor temperature and the real-time indoor temperature, if the difference is not within the preset temperature range, alarm and control the control valve 9 electrically to control the hot water flow of the aluminum alloy radiator 10, On the contrary, no operation is required. It should be noted that since the thermal insulation water tank 2 cannot maintain the target temperature, the electric auxiliary heater 7 set inside the thermal insulation water tank 2 is always controlled by the intelligent controller 1. And when the temperature difference between indoor and outdoor is too large, the water temperature in the heat preservation water tank 2 is compensated for heating (the DRL driven by the data in the intelligent controller 1 gives a control PWM signal, and the explicit rule is that when the temperature is lower than the preset temperature lower limit, the heater can be heated. variable power operation) to ensure that the water temperature of the insulation water tank 2 remains within the preset range.

According to the green and energy-saving intelligent heating system for greenhouses proposed by the embodiments of the present invention, compared with the prior art, the prediction method of the thermodynamic model, the control method of deep reinforcement learning and the temperature anomaly detection and processing mechanism are adopted to ensure that the temperature of the greenhouse is kept at a normal temperature. Within the scope, the combination of solar energy and electric energy is used to heat the greenhouse with water pipelines and radiators. On the one hand, it can reduce energy consumption. The operation cost of the greenhouse in winter, and the heating process is green, energy-saving, and pollution-free, and ensures that the crops are in the optimal temperature growth conditions, and improves the energy efficiency ratio of greenhouse production.

Next, a method for controlling a green energy-saving intelligent heating system for a greenhouse according to an embodiment of the present invention will be described with reference to the accompanying drawings.

FIG. 3 is a flow chart of a green and energy-saving intelligent heating system for a greenhouse according to an embodiment of the present invention.

As shown in Figure 3, the green and energy-saving greenhouse intelligent heating system includes the following steps:

In step S1, the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature are collected and stored using the temperature sensor outside the greenhouse, the temperature sensor inside the greenhouse, and the temperature sensor in the water tank.

In step S2, the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature are processed through a non-destructive greenhouse thermodynamic model based on real-time online data to predict the ideal indoor temperature.

In step S3, the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature are processed through a greenhouse temperature control method based on a deep reinforcement learning algorithm to obtain a real-time indoor temperature.

In step S4, the difference between the ideal indoor temperature and the real-time indoor temperature is made. If the difference is not within the preset temperature range, an alarm is issued and the control valve is electronically controlled to control the hot water flow of the aluminum alloy radiator. Otherwise, no operation is required.

It should be noted that the foregoing explanations of the green energy-saving intelligent greenhouse heating system embodiment are also applicable to the control method of the green energy-saving intelligent greenhouse heating system of this embodiment, and will not be repeated here.

According to the control method of a green and energy-saving greenhouse intelligent heating system proposed in the embodiment of the present invention, compared with the prior art, the prediction method of the thermodynamic model, the control method of deep reinforcement learning and the temperature anomaly detection and processing mechanism are adopted to ensure the greenhouse temperature Keep it within the normal range, and at the same time use the combination of solar energy and electric energy to heat the greenhouse with water pipelines and radiators. On the one hand, it can reduce the operating cost of the greenhouse in winter, and the heating process is green, energy-saving, and pollution-free, and it can ensure that the crops are in the optimal temperature growth conditions, and improve the energy efficiency ratio of greenhouse production.

In addition, the terms "first" and "second" are only used for descriptive purposes, and should not be construed as indicating or implying relative importance or implying the number of indicated technical features. Thus, a feature delimited with "first", "second" may expressly or implicitly include at least one of that feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise expressly and specifically defined.

In the description of this specification, description with reference to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples", etc., mean specific features described in connection with the embodiment or example , structure, material or feature is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and combine the different embodiments or examples described in this specification, as well as the features of the different embodiments or examples, without conflicting each other.

Although the embodiments of the present invention have been shown and described above, it should be understood that the above-mentioned embodiments are exemplary and should not be construed as limiting the present invention. Embodiments are subject to variations, modifications, substitutions and variations.

Claims (7)

1. A green and energy-saving greenhouse intelligent heating system is characterized in that, comprising: solar collector, thermal insulation water tank, temperature sensor in the greenhouse, temperature sensor outside the greenhouse, temperature sensor in the water tank, intelligent controller, electric auxiliary heater, Water pipes, control valves and aluminum alloy radiators, of which, The solar heat collector is placed outside the preset greenhouse, and is connected with the heat preservation water tank through a pipeline; The heat preservation water tank is connected with the aluminum alloy radiator through the water delivery pipeline, and the water delivery pipeline is provided with the control valve, and the control valve is electrically connected with the intelligent controller; The intelligent controller is simultaneously connected with the outside temperature sensor of the greenhouse, the temperature sensor inside the greenhouse, the temperature sensor of the water tank and the electric auxiliary heater through the RS485 bus, wherein the outside temperature sensor of the greenhouse and the greenhouse The inner temperature sensor is placed inside and outside the preset greenhouse respectively, and the water tank temperature sensor and the electric auxiliary heater are both installed on the inner wall of the heat preservation water tank and keep a preset distance. 2 . The green and energy-saving intelligent heating system for a greenhouse according to claim 1 , wherein the solar collector is used to collect the thermal radiation energy of the sun during the day to heat the water in the heat preservation water tank. 3 . 3. The green energy-saving intelligent heating system for greenhouse according to claim 1, wherein the electric auxiliary heater is used for compensating heating means at night, weather conditions with insufficient illuminance, and when the indoor and outdoor temperature difference is too large, Make sure the water temperature in the holding tank stays within the preset range. 4. a kind of green energy-saving intelligent greenhouse heating system according to claim 1, is characterized in that, described intelligent controller utilizes the non-destructive greenhouse thermodynamic model based on real-time online data and the greenhouse temperature control method based on deep reinforcement learning algorithm to adjust The control valve is used to control the hot water flow of the aluminum alloy radiator. 5. a kind of green and energy-saving greenhouse intelligent heating system according to claim 4, is characterized in that, described non-destructive greenhouse thermodynamic model based on real-time online data is: P _sun +P _ele =P _w +P _other Among them, P _sun is the absorbed solar heat, P _ele is the heat generated by the electric auxiliary heater, P _w is the total heat dissipated by the water, and P _other is the heat lost by the system. 6. A kind of green energy-saving intelligent heating system for greenhouse according to claim 4, is characterized in that, with temperature inside the greenhouse, temperature outside the greenhouse and water temperature as the state input of deep reinforcement learning, based on DQN algorithm to learn given indoor temperature conditions The opening of the control valve and the switch of the electric auxiliary heater are the deep network parameters of the action output, and the return of DQN is set as the absolute value of the given indoor temperature and real-time temperature, and the deep reinforcement learning algorithm is constructed. Greenhouse temperature control method. 7. A control method for a green and energy-saving greenhouse intelligent heating system, characterized in that, based on the system according to any one of the above claims 1-6, comprising the following steps: Step S1, using the temperature sensor outside the greenhouse, the temperature sensor in the greenhouse, and the temperature sensor in the water tank to collect and store the temperature inside the greenhouse, the temperature outside the greenhouse, and the water temperature; Step S2, processing the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature through the non-destructive greenhouse thermodynamic model based on the real-time online data to predict the ideal indoor temperature; Step S3, processing the temperature inside the greenhouse, the temperature outside the greenhouse and the water temperature through the deep reinforcement learning algorithm-based greenhouse temperature control method to obtain a real-time indoor temperature; Step S4, make the difference between the ideal indoor temperature and the real-time indoor temperature, if the difference is not within the preset temperature range, then alarm and electrically control the control valve to control the hot water flow of the aluminum alloy radiator , otherwise, no action is required.

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