Developed a device for real-time scanning of air quality

The rapid growth of urban areas and industrial facilities increases the importance of controlling and monitoring the environment. Using sensors, you can measure air quality and organize environmental pollution statistics. This, in turn, will allow us to monitor the state of the environment, identify the dynamics of change and carry out effective measures to improve the ecological state of the city.

Big data processing methods that extract structured information from data coming from sensors in real time allow you to monitor the current state of the environment and predict future changes taking into account various factors. Thus, within the framework of the smart city concept, it is possible to develop an effective tool to support decision-making in the management of environmental development of the city.

Under the leadership of the Department's Head of the Informatics of the Information Technologies' Faculty Beimbet Daribayev and the head of the Laboratory of Computer Science at the Research Institute of Mechanics and Mathematics Edil Nurakhov, a team of students and undergraduates together with the industrial partner of Digital Alem LLP develop its own environmental monitoring system. The product is a device that analyzes the air, connects via Bluetooth to the user's phone and transmits data to the server, taking into account the location. Data from all devices is synchronized and forms a common information space with the help of which each user will see the ecological picture of the city in real time.

Device photo 1

Photo 2

Assembled working circuit without housing.

Measurement map

A snapshot of the app.

Description of operation of the device

The modules use various sensors to take in air and transmit data to the server via a GSM / GPRS Transmitter. The server stores the data in a structured database. Data collection is provided by the module implemented as a standalone device.

The air quality data processing module uses big data processing and machine learning techniques. The stored data on the server is processed by mathematical models, which in turn allows you to:

• Visualize the ecological picture of the city on the map
• Identify the dynamics of changes in pollution (the direction of the spread of pollution)
• Build forecasts for further changes taking into account various factors

THE DEGREE OF ELABORATION OF THE PROJECT

At the moment, we have developed a prototype device that scans the air quality in real time.

At the same time, it transmits to the server:

• Developed a prototype of cloud data storage and client applications for web browsers and Android.
• Data on organic volatile matter(VOC) pollution and calculates the Air Quality Index (AQI)
• Data on fine particle pollution pm10, pm25, pm100

A data storage application server has been developed. Users can share information with each other in the form of GIS data.

A data processing module is being developed that uses big data processing and machine learning methods to predict changes in the environmental situation.