IOT (internet of things)-based intelligent online multilevel monitoring system of urban sewage discharge points

Abstract

The invention discloses an IOT (internet of things)-based intelligent online multilevel monitoring system of urban sewage discharge points. The monitoring system comprises a monitoring host and transmission units, and is characterized in that the monitoring host is connected with multiple monitoring subsystems via the Internet, each transmission unit and each monitoring subsystem are connected with a network node through a wireless network, the network nodes are in wireless connection with a remote upper computer, each monitoring subsystem comprises a monitoring management host which is connected with a set-top box for remote communication, the set-top box is connected with multiple regional centralized controllers arranged in each region through a wireless network, the regional centralized controllers are in wireless connection with multiple environmental sensors, a ZigBee acquisition module is connected with the sensors and the ZigBee acquisition module and an information acquisition terminal are connected with the network nodes through the wireless network, the network nodes are in wireless connection with the remote upper computer, a mobile communication terminal is connected with a ZigBee module, and transmits data to a backend server through a public mobile communication network; the backend server receives and stores the data sent out from the mobile communication terminal.

Description

technical field [0001] The invention relates to the technical field of information collection and transmission, in particular to an online multi-level monitoring system for sewage discharge points in smart cities based on the Internet of Things. Background technique [0002] Urban water environment monitoring is an essential part of water resources protection and management, and is an important basic work. By monitoring pollutants and pollution factors in the urban water environment, evaluating the causes of pollutants and pollution pathways, identifying and evaluating water pollution problems, and providing technical support for pollution prevention and control. At present, water quality monitoring mainly adopts the method of laboratory and on-site portable manual sampling, and then submitting the sampling results to departments at all levels in paper. This method has problems such as low real-time data and untimely data update. How to obtain water environment parameters e...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is how to provide an online multi-level monitoring system for intelligent urban sewage discharge points based on the Internet of Things, which realizes the remote monitoring of the urban water environment and facilitates real-time continuous monitoring of the water environment at each discharge point in the city. The remote monitoring enables the supervisory department to grasp the water quality status of the cross-section water body in a timely manner, effectively grasp the abnormal water quality, the change characteristics of water quality and pollution load, and the situation of the total discharge of water pollutants, and early warning and forecast of sudden and river basin As well as major water pollution accidents, track pollution sources in a timely manner, supervise the implementation of the total amount control system and discharge standards, and serve management decisions