Platform Background:
Ecological environment big data is a collection of data that reflects the status of the ecological environment, the source, composition and discharge subjects of pollutants, and the public's environmental appeals, and is the scientific basis for predicting changes in environmental quality, evaluating the effect of pollution control, and solving urgent environmental problems. Promoting the development and application of big data for ecological environmental protection is of great practical significance for the supply-side structural reform of the mainland, accelerating the development of green environmental protection industry, optimizing the social governance structure, and realizing the modernization of governance capabilities.
Using data to support decision-making can help effectively address pressing environmental issues. Through the analysis and prediction of regional industrial pollution and agricultural non-point source pollution, it can support the formulation of annual regional total pollutant emission reduction plans and the decomposition of emission reduction tasks of local governments at all levels, thereby laying the foundation for refined management and multi-department linkage of regional pollution prevention and control. The application of big data will play an important role in the mainland's environmental accountability and even lifelong accountability. Therefore, for environmental pollution law enforcement, environmental protection departments urgently need a reliable data support.
Smart environment monitoring comprehensive management and control big data cloud platform is our company's intelligent environmental supervision software. It can help users monitor and manage environmental data, with multi-module functions, forming a series of intelligent intelligent monitoring and processing. It provides multi-function functions such as application management, user management, data management, security management, and configuration management. The big data cloud platform for comprehensive management and control of intelligent environment monitoring aims to provide users with an efficient, safe and reliable software development and deployment platform. The platform is equipped with PC and mobile phones (Android APP, WeChat official account, mini program), customers can actively obtain data through the open API interface of our platform, and also support docking with third-party platforms.
1. Platform basis
"Digital China Construction Overall Layout Plan"
Action Framework for Big Data
"14th Five-Year Plan for Promoting National Government Informatization"
Measures for the Management of Data Security in the Field of Industry and Information Technology (Trial)
National Big Data Strategy Outline
Measures for the Administration of the Construction of National Government Informatization Projects
Notice on Accelerating the Development of the Industrial Internet
Interim Measures for the Management of Informatization Construction Projects of the Ministry of Environmental Protection
Platform Architecture:
(1) Collection end. The collection end generally refers to the on-site data acquisition instrument or monitoring equipment data acquisition and transmission module, which collects and processes the signals output by the on-site sensor monitoring.
(2) Network communication layer. The network communication service system, based on the TCP protocol, is responsible for maintaining a connection with the collection end and performing data communication.
(3) Transport layer. Verification, analysis, etc., and then handed over to the lower layer; On the other hand, the sending task from the bottom layer to the acquisition end is executed, and the sending task is organized into a packet that follows the specification and handed over to the network communication layer.
(4) Monitoring data processing layer. The message processing layer parses the monitoring data packets into predefined formats and hands them over to the subsystem, which is responsible for the final storage of the data. This subsystem is divided into two units: local cache and database storage, the local cache unit is responsible for caching data to the local disk, and the database storage unit is responsible for storing cached data to the database.
(5) Equipment parameter status processing layer. The message processing layer parses the monitoring data packets into predefined formats and hands them over to the subsystem, which is responsible for the final storage of the data. This subsystem is divided into two modules according to business requirements, each consisting of two units: local cache and database storage. The two modules process the latest value data and the value update record data, respectively.
(6) Real-time library. Basic information (such as sites, monitoring items, equipment parameter items, etc.) is stored in memory for use by subsystems at various business layers. The real-time library is at the center of the entire system architecture, and all other business subsystems are based on it for data processing, and it does not have any business logic of its own, only as a data layer to provide basic information and provide persistence of the real-time library.
(7) System startup layer. Serves as the initiation portal for the entire system and is responsible for managing all business subsystems.
(8) Operation monitoring system. Commonly known as watchdog programs, it is responsible for monitoring the operation of all business subsystems.
(9) External interface. Provide interactive access between the system and the outside world, according to business needs, this interface needs to provide remote device control functions.
Platform features
High reliability: The monitoring system can monitor various parameters of the object or environment in real time, find abnormal situations in time and alarm, which can effectively avoid the occurrence of accidents and improve the reliability of the system.
High real-time: real-time monitoring of various parameters of objects or the environment, can grasp the changes of the environment at any time, timely implementation of measures, to ensure that the environment is not damaged
High precision: The use of high-precision sensors and monitoring equipment can accurately monitor various parameters of objects or environments, thereby improving the accuracy and reliability of the system.
High intelligence: Through data analysis and processing, intelligent monitoring and management of the environment can be realized, and the intelligent level of the system can be improved
Low cost: It can find the abnormal situation of the equipment in time and call the police, which can avoid the loss and waste caused by equipment accidents and effectively save costs.
Implementation function:
Pollutant dispersion analysis and judgment
Heavy pollutant weather control services
Basic work for emergency response to heavily polluted weather
Thematic data mining of heavily polluted weather
Research and analysis of heavy pollution weather pollution sources
Evaluation of the effectiveness of heavy pollution weather prevention and control measures
Summary of emergency work for heavily polluted weather
Platform configuration recommendations
Server-side operating system
Operating system: Windows Server
About the terminal browser operating system
(1) Support Google, Firefox, 360 browser;
(2) Terminal operating system: support Windows 7 or above (32, 64 bits).
Server recommended configuration
(1) Recommended configuration of application/database server (taking IBMX3650 service as an example):
(2) CPU cores (2 cores and 4 threads or more),
(3) Memory DDR48G,
(4) 1000M network card ×2,
(5) Hard disk configuration of 500G or above
Database version
MySQL5.7
MongoDB4.2
Secondary development
The micro ambient air quality cloud platform is independently developed by our software development team, focusing on the field of environmental protection big data cloud platform, and has obtained a number of software copyrights. Support the secondary development of platform functions, customize and modify the existing software, expand the functions, and meet the functional requirements that customers want, and the secondary/custom development projects have successfully cooperated with many units.