System and method for optimizing temperature of pesticide production waste liquid incinerator
An incinerator and optimization technology, which is applied in the field of the furnace temperature optimization system of the pesticide production waste liquid incinerator, can solve problems such as the furnace temperature is too low or too high, and the furnace temperature is difficult to control
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Embodiment 1
[0072] refer to figure 1 , figure 2 , a system for optimizing the furnace temperature of a pesticide production waste liquid incinerator, including an on-site intelligent instrument 2 connected to an incinerator object 1, a DCS system and a host computer 6, and the DCS system includes a data interface 3, a control station 4 and a database 5. The on-site intelligent instrument 2 is connected to the data interface 3, and the data interface is connected to the control station 4, the database 5 and the host computer 6, and the host computer 6 includes:
[0073] The standardized processing module 7 is used to standardize the collected system key variable data and the training sample TX to obtain the input matrix X, which is completed by the following process, and its formulas are (1), (2), (3):
[0074] 3.1) Calculate the mean: TX ‾ = 1 N Σ i = 1 ...
Embodiment 2
[0106] refer to figure 1 , figure 2 and image 3 , a kind of pesticide production waste liquid incinerator furnace temperature optimization method, described method comprises the following steps:
[0107] 1), determine the key variables used, collect the data of the variables when the system is normal from the historical database as the training sample TX, and collect the corresponding furnace temperature data as the output matrix Y;
[0108] 2), set the kernel parameter θ, insensitivity coefficient ε, penalty coefficient γ, inertia weight ω, cognition coefficient c 1 , social coefficient c 2 , constraints factor Υ and other parameters, and set the sampling period;
[0109] 3), standardize the training sample data TX, so that the mean value of each variable is 0, the variance is 1, and the input matrix X is obtained, and the following process is used to complete, and the formulas are (1), (2), (3):
[0110] 3.1) Calculate the mean: TX ‾ ...
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