Background and Current Status of Environmental Pollution Monitoring

Large areas of air pollution in many regions of China are waiting to continue, and a red alert for heavy pollution has been activated

Enhance public awareness of environmental protection and increase attention to environmental pollution and healthy living

Environmental protection has become an important factor in the government's image, sustainable development, and social stability

Grid based regulation has become an important model for improving social governance and strengthening environmental supervision

The necessity of grid based air quality monitoring

The Decision of the Central Committee of the Communist Party of China on Several Major Issues Concerning Comprehensively Deepening Reform improves the way of social governance. Adhere to source governance, address both symptoms and root causes, and focus on improving the foundation. With grid management and socialized services as the direction, improve the comprehensive service management platform at the grassroots level, and timely reflect and coordinate the interests and demands of the people at all levels.

Notice of the General Office of the State Council on Strengthening Environmental Supervision and Law Enforcement: Improve the legal, regulatory, standard, and technical specification system for ecological environment monitoring, and unify the planning and layout of monitoring networks. Relying on technological innovation and progress, strengthening monitoring research and comprehensive analysis, enhancing the application of high-tech, advanced equipment and systems such as satellite remote sensing, and improving the three-dimensional, automated and intelligent level of ecological environment monitoring.

The Plan for the Construction of Ecological Environment Monitoring Network focuses on strengthening environmental supervision. Each city and county-level government should divide its administrative area into several environmental supervision grids, clarify the responsible persons for supervision one by one, and implement the supervision plan: the supervision grid division plan should be reported to the higher-level government for filing before the end of 2015 and made public to the society.

grid-based management

Video surveillance is easily affected and can only monitor visible pollution sources with high pollution concentrations

Traditional air automatic monitoring stations have a large footprint, high costs, and later operating expenses

It is difficult to conduct large-scale precision point distribution without clearly identifying the source of pollution

Difficulty in ensuring the quality of third-party operation and maintenance

Single measurement data

The cost of manual supervision is high, and there is a lack of accurate analysis data

It is difficult to respond quickly and predict in advance to sudden pollution incidents

High level of public attention and increasing responsibility

Integrated solution for grid based air quality monitoring

In response to the current situation of environmental monitoring and the problems encountered in grid based supervision, it is uniformly divided into several grid points for comprehensive fixed monitoring and mobile monitoring.

Higona Technology has proposed a grid based air quality monitoring technology based on smart environments, forming a refined perception IoT network solution that covers the entire area. This solution targets real-time monitoring of the concentration levels and distribution patterns of various pollutants in cities, rural areas, residential areas, and industries, providing comprehensive and accurate air quality data for managers of areas with organized and unorganized pollution emission sources such as industrial parks and construction sites. As an environmental domain, it is necessary to conduct comprehensive and precise "grid based deployment" to provide law enforcement guarantees and strong support for grid based supervision of the target area.

measurement parameters

Particulate matter: PM2.5, PMlO, TSP (optional)

Meteorology (optional): temperature, humidity, wind speed, wind direction, air pressure

Environment (optional): Noise, electronic nose, video surveillance

Conventional pollution source: SO₂、NO₂、CO、O₃

Characteristic pollution sources (optional): VOCs, H₂S、HCL、HCN、NH₃wait

Application field

Grid based monitoring of regional environmental air quality

Online monitoring of noise and dust at construction sites

Comprehensive odor monitoring

Monitoring and early warning of characteristic gases in chemical industrial parks and other areas

Solution Architecture

The plan 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 protection cloud computing platform through the information transmission support layer network. Through the environmental protection cloud platform and big data computing mining, the main causes and sources of regional air pollution are determined, and accurate big data support is provided for environmental decision-making such as prediction, early warning, traceability, and targeted governance.

System functions

Grid based air quality monitoring system

1. Based on the latest air station, real-time traffic, real-time weather and other data

2. Generate grid based air quality data accurate to 1 × 1 kilometer

3. Release urban air quality through GIS system and mobile Internet

4. Fully meet the visual requirements of air quality for environmental protection departments

Grid based air quality prediction system

1. Using big data analysis and data modeling techniques to discover precise grid level patterns and trends in air quality changes

2. Scientifically and reasonably analyze and predict the changes in air quality over a certain period in the future

3. Determine the scope of impact caused by environmental air pollution

4. Provide new technologies and means for environmental supervision

Grid based Air Quality Traceability System

Machine learning algorithms based on deep neural networks use big data analysis to locate potential pollution sources or areas, dynamically analyze the formation, transmission, and diffusion of pollution, and quantitatively analyze the causes and changes of pollution based on qualitative judgments. This provides support for management decisions such as environmental accountability, punishment, and rectification.

monitoring device

Automatic Air Monitoring System

The micro air automatic monitoring system is the latest environmental protection technology product developed by our company based on the principle of spectral absorption to detect pollutant gases and beta ray absorption technology to detect small particles, combined with mature electronic technology and network communication technology internationally. This system can simultaneously monitor SO in the air₂、NOx、CO、CO₂、THC、O₃、H₂S、NH₃Particulate matter (TSP, PMlO, PM2.5) and meteorological parameters (temperature, humidity, pressure, wind direction, wind speed, etc.), with a reasonable system structure design that can automatically and continuously monitor, have a wide range of applications.

Micro environmental air monitoring system

The micro environmental air monitoring system adopts electrochemical, semiconductor infrared PID、 Light scattering and other technical means, with a simple measurement principle, can target SO in ambient air₂、NO₂CO, TVOC, O₃Monitor hazardous gases and combine them with meteorological conditions such as measured wind speed and direction (optional) to quickly generate data and transmit it to the platform for data storage and analysis through the built-in transmission unit, in order to trace and warn of hazardous gases. It has a compact size, high protection level, easy installation, and can be powered by both mains and solar energy, making it suitable for working in urban and outdoor environments.

Solution application

Grid sensing devices can be divided into fixed and mobile types. Regulatory agencies can effectively monitor construction site dust, chemical parks, key industrial enterprises, and urban air quality through monitoring system platforms, and achieve pollution prediction, warning, and traceability of pollution events.

technical specifications

HJ 664-2013 Technical Specification for Layout of Environmental Air Quality Monitoring Stations (Trial)

HG/T 55-2000 Technical Guidelines for Monitoring Unorganized Emissions of Air Pollutants

GBT 16297-1996 Comprehensive Emission Standard for Air Pollution Sources

stationing principle

Micro stations are evenly arranged with a spacing between l * I and 3 * 3 kilometers;

Tailored to local conditions, combining quality monitoring with early warning: Based on the geographical, climatic, industrial park distribution, and sensitive point distribution of the monitoring area, a reasonable layout plan should be made.

Key areas of focus: such as the vicinity of national and provincial air stations, key polluting enterprises, industrial parks, major transportation arteries, key construction sites, key catering enterprises, residential areas, core business districts, etc; Combining grid based supervision to divide areas and achieve one-to-one correspondence.

Application effect

• Point measurement rises to surface measurement, refining to local environmental quality and change trends

Multi dimensional big data comprehensive analysis helps reduce environmental pollution and assist government decision-making

Combining vertical ranking with horizontal comparison to provide data support for refined control

Based on the local pollution situation and budget, develop a grid based monitoring plan that combines fixed and mobile methods