Big data framework-based ecological environment monitoring grid system

Abstract

The invention discloses a big data framework-based ecological environment monitoring grid system. The system comprises an environment monitoring device and a service running module; and a multi-environment parameter access module is arranged at one end of the environment monitoring device. The big data framework-based ecological environment monitoring grid system is provided with an internet-of-things data collection module, a heterogeneous data processor, a lustre-based environment big data analysis system, ecological environment monitoring quality evaluation method and model, and an ecological environment grid system; protocol contents are configurable; no secondary development is required; a multisource heterogeneous data processing method provides a one-stop data access service; multi-monitoring object-based ecological environment quality comprehensive evaluation is realized through the ecological environment monitoring quality evaluation method and model; wisdom management and application of ecological environment monitoring is realized through the grid application system; use convenience is brought for people; and better use prospects are achieved.

Description

technical field [0001] The invention relates to the field of environmental monitoring, in particular to a gridded system for ecological environment monitoring based on a big data architecture. Background technique [0002] With the development of industrial production, the environment on which human beings depend is facing unprecedented challenges. The gaseous pollutants such as sulfur oxides and nitrogen oxides emitted into the air during our production make the air we breathe increasingly polluted. A large amount of industrial sewage is discharged arbitrarily, and water resources are seriously polluted. Urban noise pollution is becoming more and more serious, which has brought great harm to human health and ecological environment. The existing ecological environment monitoring grid system has certain disadvantages in use. First, the monitoring system operates in an isolated manner, and the monitoring data of different monitoring objects are distributed in different applic...

AI Technical Summary

Problems solved by technology

The existing ecological environment monitoring grid system has certain disadvantages in use. First, the monitoring system operates in an isolated manner, and the monitoring data of different monitoring objects are distributed in different application systems. Sharing and linkage, a system cannot realize the processing of multi-source heterogeneous data. Secondly, the existing system data cannot be stored and analyzed in large quantities. Generally, the environmental monitoring system stores data for 1-2 years, and the query efficiency drops sharply. Deletion or archiving of old data directly affects the analysis and extraction of historical data of the ecological environment. In addition, the existing system generally can only evaluate the monitoring quality of a single monitoring factor or a single type of detection object, and fails to evaluate the monitoring quality from the perspective of the ecological environment. Conduct research and extract relevant algorithms to achieve comprehensive evaluation of the regional ecological environment. The existing system mainly relies on central or on-site monitoring and post-event disposal. It does not respond and solve in advance or in the first place through grid management. brought a certain impact, for this reason, we propose an ecological environment monitoring grid system based on big data architecture

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