Swarm intelligence machine learning incinerator harmful emissions control system and method

Abstract

The invention discloses a crowd-sourced and machine learning incinerator noxious substance discharging standard reaching control system and method. The crowd-sourced and machine learning incinerator noxious substance discharging standard reaching control system comprises an incinerator, an intelligent instrument, a DCS system, a data port and an upper machine. The DCS system comprises a control station and a database. The intelligent instrument for measuring variables easy to measure is connected with the DCS system. The DSC system is connected with the upper machine through the data port. The upper machine carries out preprocessing and fuzzification on a training sample to obtain a new input matrix, a least squares supporting vector machine is used for establishing a model for the new input matrix to obtain forecasting output and then anti-fuzzification is carried out on the forecasting output and finally, a particle swarm optimization is introduced to optimize penalty factors and error allowance values of the least squares supporting vector machine to obtain optimized system output. The crowd-sourced and machine learning incinerator noxious substance discharging standard reaching control system and method have the advantages of being capable of measuring the COD on line, effectively monitoring whether the COD reaches the standard or not, and controlling emission of the COD to reach the standard, strong in anti-noise capability and generalization ability, small in number of needed samples, high in computing sped, capable of automatically optimizing on line and the like.

Description

technical field [0001] The present invention relates to the field of pesticide production, in particular to a control system and method for controlling harmful emissions from incinerators based on swarm intelligence machine learning. Background technique [0002] my country is a big country in the production and use of pesticides. There are about 4,100 pesticide manufacturers, of which more than 500 are active pharmaceutical manufacturers. Statistics from the Ministry of Agriculture show that the total output of pesticides from January to November 2008 reached 1.711 million tons. The irrationality of the structure of pesticide varieties in my country has made environmental governance more difficult. According to incomplete statistics, the national pesticide industry discharges about 1.5 billion tons of wastewater every year. Among them, only 1% of the processed ones have reached the standard. Incineration is currently the most effective, thorough and widely used method for...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of the existing incinerator process COD cannot be measured online and COD is seriously exceeded, the present invention provides a swarm intelligence machine learning incinerator harmful emission control system and method, which has the ability to measure COD online and effectively monitor whether COD exceeds the standard , control COD emissions to meet standards, strong anti-noise and generalization capabilities, less required samples, fast calculation speed, online automatic optimization, etc.

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