Integrated solution for grid based air quality monitoring

Integrated solution for grid based air quality monitoring

1、 Industry background

In recent years, environmental pollution has been plaguing people's lives, especially the increasingly severe problem of air pollution, which seriously threatens people's lives and health. The main sources of pollution in cities come from road traffic dust, chemical industry enterprises, garbage disposal, construction site dust, house demolition, catering flues, etc. There are numerous sources of pollution, with strong randomness in emissions and difficult management. In addition, the number of existing monitoring stations is limited, and the monitoring grid and regulatory grid are not integrated, making it difficult to achieve big data analysis.

In July 2018, the State Council released the "Three Year Action Plan for Winning the Blue Sky Defense War", which is a major decision and deployment made at the 19th National Congress of the Communist Party of China. It is related to meeting the growing needs of the people for a better life, building a moderately prosperous society in all respects, promoting high-quality economic development, and building a beautiful China. The grid monitoring system, due to its precision, scientific nature, ability to effectively improve the efficiency of air governance, and provide data and technical support for environmental supervision, has become the new mainstream of precision governance. Therefore, the demand for grid monitoring systems is gradually increasing.

2、 Project Introduction

Integrated solution for grid based air quality monitoringConduct comprehensive and precise "grid deployment" for areas with organized and unorganized pollution emission sources, such as cities, rural areas, residential areas, industrial parks, and construction sitesDivide the target area evenly into several grid points, integrate fixed monitoring and mobile monitoring technologies, and form a fine perception IoT network that covers the entire area,Real time monitoring of the concentration levels and distribution patterns of various pollutants,By utilizing the environmental cloud platform and big data computing mining, the main causes and sources of regional air pollution are identified, and precise big data support is provided for environmental decision-making such as prediction, warning, traceability, and targeted governance.

This solution adopts a three-layer architecture system, namely the perception layer, transmission support layer, and application layer.After being collected by grid sensing devices, the data is uploaded to the environmental cloud computing platform through the transmission support layer network, providing software and hardware support environment and data models. At the application layer, business management based on grid monitoring and big data platform is achieved.

On the basis of the environmental data center, the application platform layer of the grid based air quality monitoring system fully utilizes technologies such as big data and environmental cloud platforms, integrates mature data models and algorithms, and provides decision-making support for relevant functional departments, such as air quality prediction and warning, pollution emergency tracing and disposal, while achieving accurate grid based monitoring functions.

3、 Product Introduction

Factory Gas Online Monitoring Instrument(Click on the text to learn more)

Micro air monitoring station（Click on the text to learn more details）

Networked environmental monitoring - pump suction（Click on the text to learn more details）

Odor gas online monitoring device（Click on the text to learn more details）

Air grid online monitoring system（Click on the text to learn more details）

Nitrogen oxide NO/NO2 online monitoring instrument（Click on the text to learn more details）

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Four air and two dust sensors（Click on the text to learn more details）

MINI Mini Ultrasonic 5（Click on the text to learn more details）

4、 Functional Features

Multi data fusion:

Real time collection of environmental air quality data and pollution emission data through intelligent and automated monitoring equipment, and comprehensive monitoring through a big data platform.

Automated supervision:

The monitoring equipment is unmanned, and automatic alarms are triggered when the data exceeds the standard. Through an automated monitoring and analysis system, monitoring and supervision are linked, freeing the limited personnel team from simple repetitive work such as inspections, while eliminating interference from human factors such as lack of experience, inadequate inspection, and favoritism.

Responsibility implementation and assessment:

By monitoring the regional environmental air quality, it can support refined grid management, achieve assessment and rewards and punishments for different regions, and provide scientific and accurate data support for assigning responsibilities to individuals.

Accurate traceability and pollution diffusion analysis:

Analyzing the main causes and sources of regional air pollution not only enables quick and accurate identification of pollutant emission sources, but also provides technical support for timely understanding of regional pollution status and pollutant sources.

Air quality warning and forecast:

Based on big data analysis and models, it can provide users with early warning and forecasting of future air quality, and provide support for managers to make decisions in advance.

5、 Product Case