System and method for optimizing temperature of pesticide waste liquid incinerator by means of optimal fuzzy network

A fuzzy network, incinerator technology, applied in combustion methods, incinerators, general control systems, etc., can solve the problems of difficult to control furnace temperature, too low or too high furnace temperature, etc.

Inactive Publication Date: 2014-01-01
ZHEJIANG UNIV
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the disadvantages of the existing incinerators that the furnace temperature is difficult to control and prone to low or high furnace temperature, the present invention provid

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
  • System and method for optimizing temperature of pesticide waste liquid incinerator by means of optimal fuzzy network
  • System and method for optimizing temperature of pesticide waste liquid incinerator by means of optimal fuzzy network
  • System and method for optimizing temperature of pesticide waste liquid incinerator by means of optimal fuzzy network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] refer to figure 1 , figure 2 , the optimal fuzzy network pesticide waste liquid incinerator furnace temperature optimization system, including the field intelligent instrument 2 connected with the incinerator object 1, the DCS system and the host computer 6, the DCS system includes a data interface 3, a control station 4 And database 5, described field smart instrument 2 is connected with data interface 3, and described data interface is connected with control station 4, database 5 and host computer 6, and described host computer 6 comprises:

[0089] The standardization processing module 7 is used to preprocess the model training samples input from the DCS database, centralize the training samples, that is, subtract the average value of the samples, and then standardize it:

[0090] Calculate the mean: TX ‾ = 1 N Σ i = ...

Embodiment 2

[0128] refer to figure 1 , figure 2 , the method for optimizing the furnace temperature of the pesticide waste liquid incinerator with the optimal fuzzy network, the specific implementation steps of the method are as follows:

[0129] 1) Determine the key variables used, collect the data of the variables when the production is normal from the DCS database as the input matrix of the training sample TX, and collect the corresponding furnace temperature to optimize the operating variable data as the output matrix Y;

[0130] 2) Preprocess the model training samples input from the DCS database, and centralize the training samples, that is, subtract the average value of the samples, and then standardize them so that the mean value is 0 and the variance is 1. This processing is accomplished using the following algorithmic procedure:

[0131] 2.1) Calculate the mean: TX ‾ = 1 N Σ ...

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 a system for optimizing the temperature of a pesticide waste liquid incinerator by means of an optimal fuzzy network. Firstly, fuzzification is carried out on an input variable through a method, then a fuzzy rule in a fuzzy network is utilized for conducting derivation, and finally a support vector machine is used for optimizing linear parameters in a fuzzy neural network. According to the method, a standardization processing module is used for conducting standardized processing on a training sample, a fuzzy network module is used for conducting soft measurement and modeling, a support vector machine optimization module is used for optimizing the linear parameters in the fuzzy neural network module, a result displaying module is used for transmitting an incinerator temperature predicted value obtained from the support vector machine optimization module and an operating variable value which enables the incinerator temperature to be optimal to a DCS. According to the system and method, the accurate control over the incinerator temperature is achieved, and excessively-high or excessively-low incinerator temperature is avoided.

Description

technical field [0001] The invention relates to the field of pesticide production waste liquid incineration, in particular to a system and method for optimizing the furnace temperature of a pesticide waste liquid incinerator with an optimal fuzzy network. Background technique [0002] With the rapid development of the pesticide industry, the environmental pollution of emissions has attracted great attention from governments and corresponding environmental protection departments. Researching and solving the standard discharge control and harmless minimization of pesticide organic waste liquid has not only become a difficulty and hot spot in scientific research in various countries, but also a scientific proposition that is urgently needed by the country related to the sustainable development of society. [0003] Incineration is currently the most effective, thorough and widely used method for dealing with pesticide residues and waste residues. During the incineration process...

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): G05B13/04F23G5/50
Inventor 刘兴高李见会张明明孙优贤
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products