Urban sewage monitoring control system based on big data

Abstract

The invention provides an urban sewage monitoring control system based on big data. The urban sewage monitoring control system comprises a monitoring module, a data arrangement module, a database, an analysis module, a processor, a controller, an alarm module, a management module, a weather monitoring module, a distance monitoring module, a temperature monitoring module and a display module. The monitoring module is used for monitoring sewage discharge information in real time, the sewage discharge information comprises the length of a drainage pipe, the time of sewage flowing through a pipeline, sewage discharge time and sewage quality information, and the sewage quality information comprises sewage PH value information, sewage turbidity information, sewage dissolved oxygen information and sewage sulfide information. Through the arrangement of the analysis module, the sewage discharge flow is calculated, the sewage discharge speed is known, adjustment by workers is facilitated, meanwhile, the alarm module gives corresponding prompts to the sewage pollution concentration Y and the pollution threat value K, the safety of drainage work is improved, and the working efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of sewage monitoring and relates to a monitoring control technology, in particular to a big data-based urban sewage monitoring and control system. Background technique [0002] Industrial production will form sewage, which is rich in various hydroxides and heavy metal ions, polluting the environment. With the continuous consumption of energy, the degree of pollution will gradually increase. The operation and management of the urban sewage discharge system directly affects the life and production safety of the urban people and the normal operation of the city. At present, the control of the urban sewage discharge system is mostly a passive and emergency management mode, and most of the problem diagnosis and regulation are human judgments. , Passive coping, unable to timely and accurately judge, discover and respond to dangerous situations, prevent disasters from happening, especially prevent major losses of p...

AI Technical Summary

Problems solved by technology

[0007] 1. How to obtain the sewage pollution concentration value by real-time monitoring of sewage discharge information and analysis, and determine whether the sewage pollution concentration value exceeds the standard, so as to solve the problem that the existing sewage monitoring and management system cannot monitor the various pollution components of sewage and issue an excessive warning;

[0008] 2. How to calculate the pollution threat value K through the sewage pollution concentration value Y, the total amount of sewage discharge S, the average rainfall A, the distance B and the average temperature W, so as to solve the problem that the existing sewage monitoring and management system cannot judge the threat of sewage pollution and carry out The problem of excessive warning

Images