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[ Focus on Chemical Machinery Equipment Network ] "Ecological civilization construction" is undoubtedly a hot word for development and attention in recent years
.
The report of the 19th National Congress of the Communist Party of China comprehensively elaborated on the strategic deployment of accelerating the reform of the ecological civilization system, advancing green development, and building a beautiful China, and pointed out a road map for China to promote the construction of ecological civilization and green development in the future
.
Chemical machinery and equipment network hotspots pay attention to chemical machinery and equipment.
The report of the 19th National Congress of the Communist Party of China comprehensively elaborated on the strategic deployment of accelerating the reform of the ecological civilization system, advancing green development, and building a beautiful China, and pointed out a road map for China to promote the construction of ecological civilization and green development in the future
.
It is understood that the environmental protection big data cloud platform strives to build an integrated system covering the province and city by integrating various types of ecological environment monitoring data, regulatory business data, Internet data, and external shared data (ocean, meteorology, hydrology, population, transportation, etc.
) Ecological cloud platform and ecological environment big data application system
.
) Ecological cloud platform and ecological environment big data application system
.
Sustainable, replicable, extendable, and demonstrable.
To this end, the platform uses the ecological cloud platform's key business big data applications and key business application systems to extract data such as dynamic monitoring, statistical analysis, and pre-study and pre-judgment of the ecological environment quality.
Store and output to the large screen for scientific, time-domain, and regional display
.
It can improve the functions of comprehensive research and judgment, command and dispatch, and visually present the linkage of ecological environment monitoring, environmental assessment and early warning, and information release, as well as cross-domain, cross-level, and cross-regional emergency response linkage
.
It can comprehensively improve the ability to respond to environmental emergencies, increase the speed of emergency response, scientific decision-making, and reduce disaster losses
.
And the integrated information visualization platform is seamlessly connected to the ecological cloud platform, which can jump to the specific application of the ecological cloud platform, and directly realize the application functions of the ecological cloud platform
.
To this end, the platform uses the ecological cloud platform's key business big data applications and key business application systems to extract data such as dynamic monitoring, statistical analysis, and pre-study and pre-judgment of the ecological environment quality.
Store and output to the large screen for scientific, time-domain, and regional display
.
It can improve the functions of comprehensive research and judgment, command and dispatch, and visually present the linkage of ecological environment monitoring, environmental assessment and early warning, and information release, as well as cross-domain, cross-level, and cross-regional emergency response linkage
.
It can comprehensively improve the ability to respond to environmental emergencies, increase the speed of emergency response, scientific decision-making, and reduce disaster losses
.
And the integrated information visualization platform is seamlessly connected to the ecological cloud platform, which can jump to the specific application of the ecological cloud platform, and directly realize the application functions of the ecological cloud platform
.
Platform business modules include water environment big data visualization module, atmospheric environment big data visualization module, soil environment big data visualization module, pollution source big data visualization module, pollution emission big data visualization module, etc.
:
:
1.
Water Environment: including water quality monitoring, water basin, lakes and reservoirs, drinking water source protection areas, surface water source protection areas of surface water function zoning
.
Water Environment: including water quality monitoring, water basin, lakes and reservoirs, drinking water source protection areas, surface water source protection areas of surface water function zoning
.
2.
atmosphere: atmospheric environment comprising a ribbon, air quality monitoring, analysis and destination tracking sources of pollution, air quality forecasts, real-time traffic emissions, air and other sensitive points
.
atmosphere: atmospheric environment comprising a ribbon, air quality monitoring, analysis and destination tracking sources of pollution, air quality forecasts, real-time traffic emissions, air and other sensitive points
.
3.
soil environment: including soil monitoring sites, soil contamination display, land use soil conditions, soil and environment typical plots
.
soil environment: including soil monitoring sites, soil contamination display, land use soil conditions, soil and environment typical plots
.
4.
sources: industrial waste gas comprising monitoring pollution, waste disposal plant monitoring, solid waste pollution monitoring, monitoring of power plant, a sewage treatment plant monitoring, sewage outfall monitoring source
.
sources: industrial waste gas comprising monitoring pollution, waste disposal plant monitoring, solid waste pollution monitoring, monitoring of power plant, a sewage treatment plant monitoring, sewage outfall monitoring source
.
5.
pollution: pollution-line monitoring, including data analysis, supervisory monitoring of pollution data analysis, comprehensive analysis of sources of pollution such as excessive emissions
.
pollution: pollution-line monitoring, including data analysis, supervisory monitoring of pollution data analysis, comprehensive analysis of sources of pollution such as excessive emissions
.
Original Title: Big Data Platform Helps Internetization of Environmental Protection Cause