Hazardous chemicals are toxic,inflammable or explosive.Once a leakage accident occurs,that will generate an enormous menace to human life,property and environmental safety.How to confirm the location and intensity of the unknown leakage source in a short time is a key problem when a leakage accident occurs.Therefore,research on leakage source location method will provide powerful data support for emergency decision processing and has great significance on emergency disposal.First of all,according to the peculiarity of the leakage source location,the difference between the concentration monitored by the sensor and the concentration calculated by the diffusion model was used to construct an inverse model.Thus the leakage source location problem was transformed into an optimization problem.Concluding the diffusion models and optimization algorithms in the model,the peculiarity and application range of several atmospheric diffusion models were compared,and different swarm intelligence algorithms and local search algorithms were analyzed.Then,the glowworm swarm optimization algorithm was selected to study hazardous chemical leakage source location.Secondly,using glowworm swarm optimization algorithm for leakage source location,the algorithm feasibility was validated by simulation experiments.It is proved that the error of leakage source position and intensity calculated by glowworm swarm optimization algorithm with expected value is large,that is,the accuracy of the glowworm swarm optimization algorithm is not high.Because leakage source location problem involves multidimensional space and the overall movement mode in the glowworm swarm optimization algorithm will cause mutual interference between dimensions,the accuracy of the algorithm is affected.Therefore,the glowworm swarm optimization algorithm needs to be improved.Thirdly,aiming at solving the problems of low location accuracy and poor local search ability of glowworm swarm optimization algorithm,a hybrid glowworm-Nelder Mead simplex algorithm was introduced.Firstly,glowworm swarm optimization algorithm was used for global search,and then Nelder Mead simplex algorithm was used for local seek.The results prove that the leakage source location and intensity calculated with the hybrid glowworm-Nelder Mead simplex algorithm is close to the expected value.Compared with the single algorithm,enhanced the locating accuracy.It shows that the improved algorithm is feasible to solve the leakage source location problem.Finally,to solve the problem of mutual interference between dimensions in glowworm swarm optimization algorithm,a modified algorithm based on dimensional search was proposed.Replacing the global movement in glowworm swarm optimization algorithm,a dimensional movement was employed.The local search was conducted for those glowworms with empty neighborhood.Comparing with other improved glowworm swarm optimization algorithms,it is proved that the result of the improved glowworm swarm optimization algorithm based on dimensional search has higher precision and stability.In summary,this paper proposes two improved algorithms to overcome the disadvantages of original glowworm swarm optimization algorithm in leakage source location problem.Through the analysis of its inversion results and the contrast with other algorithms,it proves that it is feasible to solve the problem in the location of hazardous chemicals leakage source by improved glowworm swarm optimization algorithm.The location accuracy is highly improved,which can provide data support for emergency decision. |