Intelligent setting method for secondary air volume in municipal solid waste incineration process

Abstract

The invention discloses an intelligent setting method for secondary air volume in a municipal solid waste incineration process and relates to the field of parameter setting of municipal solid waste incinerators. According to the method, the oxygen content of flue gas at an outlet is maintained within an ideal range through the intelligent setting of the secondary air volume. The method mainly comprises the following steps of (1) establishing a set database according to historical data in the municipal solid waste incineration process; (2) initializing parameters; (3) distributing feature weights based on a black hole cuckoo algorithm; (4) obtaining solutions of K similar cases through a case retrieval model; (5) solving an average value of the solutions of the K similar cases through case reuse in order to obtain a set value of a solution of a target case; (6) storing a case formed by the target case and the set value of the target case in the set database; and (7) repeating step (3) to step (6) in order to achieve the intelligent setting process of the secondary air volume in the municipal solid waste incineration process.

Description

technical field [0001] The invention relates to the technical field of parameter setting of municipal solid waste incinerators, more specifically, the invention is an intelligent setting method for secondary air volume in the process of municipal solid waste incineration. Background technique [0002] China is a country with a large population, a large energy producer, and a large waste producer. Population growth, rapid economic development and improvement of living standards have led to a large increase in China's urban domestic waste, which is growing at a rate of 8-10% per year. The pollution is becoming more and more serious, which has brought great challenges to China. The waste treatment technology represented by the company is quietly rising in China and has become an emerging environmental protection industry. However, my country's municipal solid waste output is large, the waste treatment capacity is insufficient, and the treatment rate is low; the waste treatment...

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Problems solved by technology

For the secondary air volume setting method based on mechanism modeling, since the municipal solid waste incineration process is a complex industrial control process with the characteristics of multiple inputs, multiple outputs, nonlinearity, and strong coupling, it is difficult to use an accurate mathematical model for mechanism analysis. Modeling; and the secondary air volume setting method based on data-driven modeling has the advantages of short research period, low cost and easy implementation, including the use of artificial neural networks, fuzzy C-means, fuzzy control and other methods for intelligent optimization of secondary air volume However, for complex nonlinear systems, the convergence speed of the artificial neural network is slow, and the network weights are easily trapped in a local minimum by adjusting along the direction of local improvement, resulting in failure of network training; the fuzzy C-means strongly depends on the initialization data , sensitive to noise and other shortcomings; fuzzy control cannot obtain accurate fuzzy rules and membership functions, mainly based on experience; none of the above methods can obtain the ideal secondary air volume setting value

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