Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent energy-saving optimization method for electric precipitation system based on neural network

A neural network and optimization method technology, applied in the field of electrostatic precipitator, can solve the problems of high power consumption in equipment operation, affecting power plant efficiency, high investment in environmental protection transformation, and achieve the effect of improving prediction efficiency

Active Publication Date: 2020-12-18
FUJIAN LONGKING
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to meet this standard, power plants across the country have comprehensively carried out pollutant emission transformation, but the investment in environmental protection transformation is high, and equipment operation consumes a lot of power. These problems also affect the efficiency of power plants to a certain extent.

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
  • Intelligent energy-saving optimization method for electric precipitation system based on neural network
  • Intelligent energy-saving optimization method for electric precipitation system based on neural network
  • Intelligent energy-saving optimization method for electric precipitation system based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0050] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0051] Please refer to figure 1 , figure 1 A schematic diagram of an intelligent energy-saving optimization process of an electrostatic precipitator system provided by an embodiment of the present application is shown. Such as figure 1 As shown, the method includes:

[0052] Data collection, d...

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 discloses an intelligent energy-saving optimization method for an electric precipitation system based on a neural network. The method comprises the following steps: step 1, collecting data; step 2, data preprocessing; step 3, model training and testing: performing modeling by training the neural network, determining a model between each parameter and the outlet dust concentration, and testing whether the prediction precision of the model can meet actual requirements; and step 4, parameter optimization: inputting measured values of all parameters into the optimization system whenthe electric precipitation machine operates, searching an optimal adjustable parameter set in the model by an optimization algorithm, and sending the optimal adjustable parameter set into the controlsystem, thereby completing energy-saving optimization. The electric precipitation system can automatically find the optimal or optimal high-voltage power supply control parameter set corresponding tothe current working condition, and the same or even higher dust removal efficiency can be obtained by using less electric energy.

Description

technical field [0001] This application generally relates to the field of electrostatic precipitator, and in particular relates to neural network-based intelligent energy-saving optimization and storage media for an electric precipitator system. Background technique [0002] Since the world entered the industrial age, the human economy has developed rapidly with the improvement of the level of industrialization. But at the same time, the pollution of the natural environment is becoming more and more serious, and human beings are facing the erosion of various dangerous environmental pollution represented by air pollution. Industries such as electric power, cement, and metal smelting will emit a large amount of polluting gases into the atmosphere, and my country's energy structure is dominated by coal-fired power generation. The rapid economic growth accompanied by a large amount of energy demand will inevitably bring a large amount of air pollution emissions . As a major air...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04G06N3/00G06N3/04G06N3/08
CPCG05B13/042G06N3/006G06N3/084G06N3/045Y04S10/50Y02E40/70
Inventor 吴清强钱云亮黄巍梁浩然佘莹莹黄成鑫
Owner FUJIAN LONGKING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com