澳门新葡萄新京(6663·China认证)登录入口-APP Platform

Program overview

Refined management and scientific improvement of air quality

With the goal of improving air quality, we integrate information technologies such as the Internet of Things, big data, and environmental models with the actual work of air pollution prevention and control to provide multi-dimensional decision-making support for leaders and grassroots environmental managers, and promote the grid-based air pollution control , real-time and precise management transformation, and steadily improve urban air quality.

Program Content

We are goal-oriented, adhere to the three pollution control measures, and adopt a multi-pronged approach. Based on three-dimensional monitoring, with scientific research and judgment as the starting point, with precise policy implementation as the key, with the support of a team of experts, and with the guidance of improving air quality, we provide government departments with professional, systematic and scientific solutions to the prevention and control of atmospheric environmental pollution. Plan to establish an intellectual support and technical support system for continuous improvement of regional air quality.

Program Features

Double guarantee of technology and mechanism
The dual guarantee of technology and mechanism greatly improves the effect of technology application.
Complementary monitoring methods at multiple levels
Multi-level monitoring methods complement each other to ensure the integrity and flexibility of regional monitoring.
Refined control measures
Control measures are refined and precise.
Quantitative evaluation of governance effectiveness
Quantify and visualize governance effects to achieve effective supervision and continuous optimization of management and control effects.

Related Products

Air pollution prevention and control decision support platfor

Atmospheric composite pollution navigation monitoring vehicle

Micro ambient air quality monitoring system

Ambient air quality continuous automatic monitoring system