Fuzzy System and Method for Furnace Temperature Optimization of Pesticide Production Waste Liquid Incinerator
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
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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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