Sewage water sample monitoring system based on large data

Abstract

The invention discloses a sewage water sample monitoring system based on large data, wherein the sewage water sample monitoring system includes a remote server, a site server, a data acquisition unit,a signal processing unit and an execution unit; the data acquisition unit, the signal processing unit and the execution unit are connected in parallel and then connected with the site server; the data acquisition unit includes a plurality of acquisition devices, and the plurality of acquisition devices are connected in parallel; the signal processing unit comprises a plurality of processing devices, and the plurality of processing devices are connected in parallel; the execution unit comprises a plurality of execution devices, and the plurality of execution devices are connected in parallel.Compared with the prior art, the sewage water sample monitoring system has the beneficial effects that data acquired by many sewage pipe network monitoring points are summarized and unified for analysis processing, various macro and micro monitoring can be realized, and the monitoring ability of the sewage pipe network is improved; a wireless network processing module is used for data transmission, the timeliness of data acquisition and feedback is good, and thus the technical problems are solved.

Description

technical field [0001] The invention relates to a monitoring system, in particular to a sewage water sample monitoring system based on big data. Background technique [0002] The sewage monitoring system is an important basic equipment in municipal projects such as urban construction, environmental protection, flood control and drainage. Establishing a monitoring system for the urban sewage pipe network provides urban drainage managers with real-time observation of the environmental information of the sewage pipe network and analysis of the dynamics of the sewage pipe network. The monitoring and management function of operating conditions has become an urgent need for modern urban drainage management. On the other hand, using the method of setting monitoring points for monitoring, because there are many monitoring points in the underground sewage pipe network and the distribution is extremely wide, the amount of collected data is large and difficult to process, and the mon...

AI Technical Summary

Problems solved by technology

On the other hand, using the method of setting monitoring points for monitoring, because there are many monitoring points in the underground sewage pipe network and the distribution is extremely wide, the amount of collected data is large and difficult to process, and the monitoring effect is poor.

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