Unlock instant, AI-driven research and patent intelligence for your innovation.

Urban drainage operation scheduling decision-making system and construction method

A technology for running scheduling and decision-making systems, which is applied in the field of water treatment to achieve reproducible effects

Active Publication Date: 2021-08-27
SHANGHAI ELECTRICAL APPLIANCES RES INSTGROUP +1
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention is aimed at the intelligentization of urban combined sewage treatment, and proposes an urban drainage operation scheduling decision-making system and a construction method, and constructs a drainage operation scheduling decision-making system based on artificial intelligence technology by obtaining SCADA data, model algorithm data, and management data. Using SCADA data acquisition technology, machine learning technology, data warehouse technology, combined with the drainage scheduling algorithm, establishes the scheduling management of the trunk line process of the drainage pipe network, and realizes the fully automatic forecasting scheduling management of the operation of the drainage pumping station

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban drainage operation scheduling decision-making system and construction method
  • Urban drainage operation scheduling decision-making system and construction method
  • Urban drainage operation scheduling decision-making system and construction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] 1. Establish an urban drainage operation dispatching decision-making system based on the operation mode of the urban combined sewage treatment main line project and the distribution of related pipe networks and stations.

[0050] 1.1, such as figure 1 The schematic diagram of the operation pipe network of the urban combined sewage treatment main line project is shown, and the discharge targets of the main pumping stations (node ​​pumping stations) of the urban combined sewage treatment main line project are respectively set. The stations downstream of the main pumping stations (branch node pumping stations) are integrated, linked and optimized.

[0051] 1.2. When flow is the control target, queues will be sorted according to the operating water level of each downstream station, and the high liquid level station will be put into operation first, and the low liquid level station will be out of operation first;

[0052] 1.3. The system can output various operation schedul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an urban drainage operation scheduling decision-making system and a construction method, urban confluence sewage treatment trunk line project pump stations are used as node pump stations, downstream stations of the node pump stations are used as branch line node pump stations, a drainage operation network is formed, and the node pump stations are used as displacement monitoring targets. Linkage and optimal scheduling are performed on each branch node pump station at the downstream of the node pump station; the system is divided into a data layer, a supporting layer, a business layer and a publishing layer from bottom to top. By using big data analysis methods such as association mining, machine learning, deep learning and the like, association relationships of various kinds of process operation data and variables influencing urban drainage pipe network scheduling management are identified, and a big data analysis and prediction mode of each element of an urban confluence sewage treatment trunk line project drainage operation scheduling decision-making system is innovatively constructed. The full-automatic prediction scheduling and decision management of drainage pumping station operation are achieved, manual scheduling experience is effectively accumulated and optimized, and replicability is achieved.

Description

technical field [0001] The invention relates to a water treatment technology, in particular to an urban drainage operation dispatching decision-making system and a construction method. Background technique [0002] The purpose of the urban combined sewage treatment main line project is to intercept the sewage originally discharged into the urban river, and when the rainfall exceeds the interception multiple, in order to prevent water accumulation in the jurisdiction, the combined pumping stations along the line will start the river release mode. In order to alleviate the pressure on sewage plants, balance the relationship between "water safety" and "water environment", and minimize the pollution entering the water body, for many years, the confluence trunk line has been dispatched to "smooth transportation" operation; , Optimized operation scheduling for the goal of more closures in rainy days; launched various measures such as the "integrated operation mode of drainage and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G05B19/418
CPCG05B19/41865G05B2219/32252Y02P90/02
Inventor 姚炜童巍姬卫东唐晓俊戚琛琛
Owner SHANGHAI ELECTRICAL APPLIANCES RES INSTGROUP