Algorithm for simultaneously reconstructing flame three-dimensional temperature and smoke black volume fraction distribution

Abstract

The invention discloses an algorithm for simultaneously reconstructing flame three-dimensional temperature and smoke black volume fraction distribution, which comprises the following steps of: inputting emergent spectrum radiation intensity information of flame radiation light rays in different directions, dispersing a flame infinitesimal body, and establishing a flame radiation transmission equation; and setting an objective function, performing iterative computation by using a constructed simultaneous reconstruction algorithm, and performing reconstruction to obtain flame three-dimensional temperature and smoke black volume fraction distribution. According to the algorithm, in the iteration process, the non-negative least square algorithm is nested in the simulated annealing algorithm, so that the searching efficiency of the SA algorithm in the target function searching process is remarkably improved. And meanwhile, the SA algorithm has the advantages of high quality, strong initialvalue robustness, universality, easiness in implementation and the like, so that the NNLSSA algorithm has good global search characteristics, is not easy to fall into a local optimal value, and has relatively high precision and relatively good convergence in a process of simultaneously solving flame three-dimensional temperature and smoke black volume fraction distribution.

Description

technical field [0001] The invention relates to a simultaneous reconstruction algorithm of three-dimensional flame temperature and soot volume fraction distribution, belonging to the technical field of flame temperature measurement. Background technique [0002] The combustion process is an extremely complex process of coupling and interaction between physical changes and chemical changes. The temperature, soot volume fraction and other related products in the combustion flame are directly related to the safety, effectiveness and cleanliness of the energy conversion and utilization process. The measurement of these key parameters is of great importance to the safe operation of equipment and energy saving and emission reduction. Significance. [0003] In recent years, the development of technologies such as laser, optoelectronics and information has greatly promoted the in-depth research and application of non-contact temperature measurement technology. Non-contact temperat...

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Problems solved by technology

Although the intelligent optimization algorithm provides more possibilities for the organic combination of different algorithms, due to the premature convergence of the genetic algorithm, the tendency to stagnate in the search process of the ant colony algorithm, and the low precision and easy divergence of the particle swarm algorithm, the current hybrid optimization The application of the algorithm in the research of the inverse radiation transfer problem is still relatively small, especially the simultaneous reconstruction of the three-dimensional temperature of the flame and the soot volume fraction distribution. Therefore, the proposal of a new hybrid optimization algorithm and the improvement of the existing hybrid algorithm still remain pending further research

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