Crowd intelligence weighted pesticide incinerator harmful emissions control system and method
A technology of emission compliance and control system, applied in general control system, control/regulation system, combustion method, etc., can solve problems such as COD cannot be measured online, COD exceeds the standard, etc.
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Embodiment 1
[0093] refer to figure 1 , figure 2 , the group wisdom weighted pesticide incinerator harmful emission control system, including the on-site intelligent instrument 2 connected to the incinerator 1, the DCS system and the host computer 6, the DCS system includes a data interface 3, a control station 5 and a database 4, The field intelligent instrument 2 is connected with the data interface 3, and the data interface is connected with the control station 5, the database 4 and the upper computer 6, and the upper computer 6 includes:
[0094] The data preprocessing 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:
[0095] Calculate the mean: TX ‾ = 1 N Σ i = 1 N ...
Embodiment 2
[0136] refer to figure 1 , figure 2 , the group intelligence weighted pesticide incinerator harmful emission control method, the specific implementation steps of the control method are as follows:
[0137] 1) For the chemical oxygen consumption discharge process object of the pesticide incinerator, according to the process analysis and operation analysis, determine the key variables used, and collect the data of the variables when the production is normal from the DCS database as the input matrix of the training sample TX, collect The corresponding COD and the operating variable data to make the COD emission reach the standard are used as the output matrix Y;
[0138] 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: ...
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