Realization of Instrument for Environmental Parameters Measuring

XV International Conference on Durability of Building Materials and Components. eBook of Proceedings, 2020

Temperature and humidity measurements provide useful information on multiple areas of civil engineering application such as Structural Health Monitoring (SHM), Structural System Identification (SSI) and structures rehabilitation. Majority of the existing commercial systems are so costly and also these measurement paradigms need many reference spots for a full-scale structure. The aforesaid paradigms are based on collecting data through smart devices, transferring information to each other and in the final stage processing the obtained information collaboratively through cloud computing or the others technologies. Taking into account the above information and obstacles, utilizing the Open Source Platforms (OSP) microcontrollers like Arduino as well as low cost sensors are attracting more and more attention. This paper gives a comprehensive information about the most determinant aspects of the aforementioned kits in terms of their pros and cons, installation procedure, communication protocol, number of the required connections and specific characteristics of the data acquisition system.

Applied Sciences, 2021

Experts confirm that 85% of the world’s population is expected to live in cities by 2050. Therefore, cities should be prepared to satisfy the needs of their citizens and provide the best services. The idea of a city of the future is commonly represented by the smart city, which is a more efficient system that optimizes its resources and services, through the use of monitoring and communication technology. Thus, one of the steps towards sustainability for cities around the world is to make a transition into smart cities. Here, sensors play an important role in the system, as they gather relevant information from the city, citizens, and the corresponding communication networks that transfer the information in real-time. Although the use of these sensors is diverse, their application can be categorized in six different groups: energy, health, mobility, security, water, and waste management. Based on these groups, this review presents an analysis of different sensors that are typically used in efforts toward creating smart cities. Insights about different applications and communication systems are provided, as well as the main opportunities and challenges faced when making a transition to a smart city. Ultimately, this process is not only about smart urban infrastructure, but more importantly about how these new sensing capabilities and digitization developments improve quality of life. Smarter communities are those that socialize, adapt, and invest through transparent and inclusive community engagement in these technologies based on local and regional societal needs and values. Cyber security disruptions and privacy remain chief vulnerabilities

International Journal of Climatology, 2013

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Existing Urban Meteorological Networks have an important role to play as testbeds for inexpensive and more sustainable measurement techniques which are now becoming possible in our increasingly smart cities. The Birmingham Urban Climate Laboratory (BUCL) is a near real-time, high-resolution urban meteorological network (UMN) of automatic weather stations and inexpensive, non-standard air temperature sensors. The network has recently been implemented with an initial focus on monitoring urban heat, infrastructure and health applications. A number of UMNs exist worldwide; however BUCL is novel in its density, the low-cost nature of the sensors and the use of proprietary Wi-Fi networks. This paper provides an overview the logistical aspects of implementing an UMN testbed at such a density, including selecting appropriate urban sites, testing and calibrating low-cost, non-standard equipment, implementing strict quality assurance/quality control mechanisms (including metadata), and utilising pre-existing Wi-Fi networks to transmit data. Also included are visualisations of data collected by the network, including data from the July 2013 UK heatwave as well as highlighting potential applications. The paper is an open invitation to use the facility as a testbed for evaluating models and/or other non-standard observation techniques such as those generated via crowdsourcing techniques.

Geographica Pannonica, 2015

This paper presents development and implementation of an automated urban climate monitoring system in mid-sized European city Novi Sad (Vojvodina, Serbia). The urban climate monitoring network contains 27 stations (25 in urban area and 2 in non-urbanized environment). To determine the representativeness station cites we used Stewart-Oke Local Climate Zones (LCZ) classification, authors' local knowledge and field surveys to delineate urban area and surrounding environments. For LCZ determination we used Lelovics-Gál automated GIS (Geographic Information System) method. Stations measure the values and every 10 minutes send the readings related to air temperature, relative humidity, battery voltage, status value and other technical information to the main server. In order for the data stored in database server to be ready for usage in urban climate studies and for analyzing entire systems' work, we created Urban Path System tool (UP-SYS_tool) and URBAN-PATH Portal. Furthermore, the automatic data procession system visualizes the measured values from urban climate monitoring network in Novi Sad and informs the citizens about the most recent temperature, relative humidity and thermal comfort measurements. These, in situ measurements should provide long-term time series in order to highlight the thermal differences among different urban structures in city/es (intra-urban and inter-urban comparisons), and contribute to better understanding of urban climate in the urban canopy layer.

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Impacts of climate change and air pollutants are a growing concern. Reliable and accessible monitoring systems to assess air quality and climate extremes are essential to inform decision-makers and increase awareness of citizens. Approaches from Volunteered Geography play a pivotal role both in research and empowerment by new low-cost technologies. Recently, the spread of GeoICT and micro-sensors are offering opportunities for mobile environmental mapping. In general, official stations acquire data with high accuracy and reliability; in contrast low-cost mobile devices increase the spatio-temporal resolution of air sampling but with lower accuracy. Aims of study are i) assessing accuracy of temperature values from Sodaq Air and MeteoTracker devices; ii) assessing accuracy on PM 2.5 acquisition for Sodaq Air; iii) geovisualizing three months of environmental monitoring in the city of Padua. Accuracy assessment for air temperature was performed by using a calibrated thermometer; PM 2.5 from Sodaq Air were compared with an official air quality station. Preliminary results on dynamic mobile mapping indicate that temperature values from MeteoTracker present good accuracy, while those from Sodaq Air showed bias of approximately +2.5 °C. Air quality data from the latter seems to present, in this phase of development, some limitations, since comparative analysis with official air quality station indicates 93% of overestimation, on average. On the other hand, the environmental campaign with mobile mapping devices at urban scale highlights the capability of geovisualizing hotspots and densifying georeferenced data acquisition over space and time. Further software/hardware implementation and applied research are required with various devices in different environmental conditions to improve data quality and reliability.

Environment refers to everything that surrounds a person. Environment contains many types of pollution. Most dangerous pollution is air pollution. Most important factor that causes human health is air pollution. Many countries are suffering from air pollution. There are many factors that cause air pollution. Some major factors are smoke, carbon monoxide and high temperature. Many developing countries are creating solutions for detecting and analyzing the air pollution. The main idea of our research is based on proposing a cost effective solution for environmental detection. Our system is a connection between sensors, Raspberry Pi, Microsoft Azure and Android Mobiles. Raspberry Pi gets environmental values with help of Raspberry Pi and sends the data to Microsoft Azure through API, form where Android Mobile gets those values with the help of HTTP request. Our proposed system successfully detected temperature, humidity, hydrogen, methane, propane, carbon monoxide and air level. The results show that our system is most cost effective, secure and easy to use. It will helpful in saving lives.

By keeping the weather station in the environment for monitoring enables self protection (i.e.,smart environment) to the environment. To implement this need to use the sensor devices in the environment for collecting the data and analysis. By using sensor devices in the environment, we can bring the environment into real life. Then the collected data and analysis results will be available to the user through the Wi-Fi. The smart way to monitor environment an efficient, low cost embedded system is presented in this paper. It also sent the sensor parameters to the cloud. This data will be helpful for future analysis and it can be easily shared to other users also. This model can be expanded to monitor the developing cities and industrial zones for pollution monitoring. To protect the public health from pollution, this model provides an efficient and low cost solution for continuous monitoring of environment.

European Journal of Engineering and Technology Research

The system suggested in this study is a cutting-edge approach for tracking meteorological conditions in a specific location and making the data available elsewhere in the globe. The Internet of Items (IoT) is the technology underlying this, and it is a sophisticated and efficient method for connecting things to the internet and linking the entire universe of things in a network. Electronic devices, sensors, and vehicle electronic equipment might all be found here. The system uses sensors to monitor and regulate ambient factors such as temperature and relative humidity, and then sends the data to a web page, where it is plotted as graphical statistics. The data updated by the established system may be accessed over the internet from any location on the planet.