Fuzzy System and Method for Furnace Temperature Optimization of Pesticide Production Waste Liquid Incinerator
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A technology of fuzzy systems and incinerators, applied in general control systems, control/regulation systems, temperature control, etc., can solve problems such as low or high furnace temperature and difficulty in controlling furnace temperature
Inactive Publication Date: 2015-09-09
ZHEJIANG UNIV
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[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 provides a pesticide production waste liquid incinerator that realizes accurate control of the furnace temperature and avoids the occurrence of too low or too high furnace temperature. Furnace temperature optimization system and method
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Embodiment 1
[0059] refer to figure 1 , figure 2 , the furnace temperature optimization system of the pesticide production waste liquid incinerator of the fuzzy system, including the field intelligent instrument 2 connected with the incinerator object 1, the DCS system and the host computer 6, and the DCS system includes a data interface 3, a control station 4 and Database 5, described on-site intelligent instrument 2 is connected with data interface 3, and described data interface is connected with control station 4, database 5 and upper computer 6, and described upper computer 6 comprises:
[0060] 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:
[0061] Calculate the mean: TX ‾ = 1 N Σ i ...
Embodiment 2
[0086] refer to figure 1 , figure 2 , a method for optimizing the furnace temperature of a pesticide production waste liquid incinerator based on a fuzzy system, said method comprising specific steps of implementation as follows:
[0087]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;
[0088] 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:
[0089] 2.1) Calculate the mean: TX ‾ = 1 N Σ ...
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Abstract
The invention discloses a pesticide production waste liquor incinerator temperature optimization system and method of a fuzzy system. An error back propagation neural network serves as a local equation of the fuzzy system, training samples are processed and the output of the neural network is processed in a fuzzification mode to acquire a soft measured value; training sample data are collected from a data base by a signal collection module according to time intervals of each-time sampling; after being processed through a standardized processing module, the training samples serve as the input of a fuzzy system module and are used for soft measuring modeling; the output of the fuzzy system module is connected with a result display module, and an acquired incinerator temperature value and an operation variable value of the optimal incinerator temperature are transmitted to a DCS; spot intelligent instrument signals are collected by a model updating module according to the set sampling time intervals to update a training sample set. The pesticide production waste liquor incinerator temperature optimization system and method of the fuzzy system improve incinerator temperature control precision through the fuzzy system and have the advantages of being high in measuring speed and strong in disturbance resisting capability.
Description
technical field [0001] The invention relates to the field of pesticide production waste liquid incineration, in particular to a fuzzy system and method for optimizing the furnace temperature of a pesticide production waste liquid incinerator. 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, the furnace...
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