Self-adaptive pesticide waste liquid incinerator harmful emission control system and method
A technology of emission compliance and control system, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of COD not being able to measure online, COD exceeding the standard, etc.
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Embodiment 1
[0104] refer to figure 1 , figure 2 , an adaptive pesticide waste liquid incinerator harmful emission control system, including an on-site intelligent instrument 2 connected to the incinerator 1, a DCS system and a host computer 6, and the DCS system includes a data interface 3, a control station 5 and a database 4 , the field smart 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:
[0105] The data preprocessing module is used to preprocess the model training samples input from the DCS database, so that the mean value of the training samples is 0 and the variance is 1. This processing is completed by the following calculation process:
[0106] Calculate the mean: TX ‾ = 1 N Σ i = 1 ...
Embodiment 2
[0151] refer to figure 1 , figure 2 , the self-adaptive control method for controlling harmful substances discharged from the pesticide waste liquid incinerator, the specific implementation steps of the control method are as follows:
[0152] 1) For the process object of harmful substances discharged by the pesticide waste liquid 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;
[0153] 2) It is used to preprocess the model training samples input from the DCS database, so that the mean value of the training samples is 0 and the variance is 1. The following calculation process is used to complete the processing:
[0154] Calculate the mean: ...
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