A method for optimizing the allocation of emergency resources in chemical industry parks
A technology for emergency resources and chemical parks, applied in resources, data processing applications, instruments, etc., can solve problems such as difficulties, lack of global optimal search robustness, etc., to improve emergency capabilities and reduce resource waste.
Active Publication Date: 2021-08-10
HANGZHOU DIANZI UNIV
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Problems solved by technology
Since these optimization methods lack the robustness of global optimal search, and most traditional optimization requires gradient information, it is quite difficult to solve such multi-objective optimization problems with complex mathematical forms
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Embodiment Construction
[0086] like Figure 4 As shown, Step 1: Obtain information on hazard sources in the chemical park, geographical information, information on the production process of each chemical hazard source in the park, locations available for planning, and the number of emergency supplies to be distributed. The information on hazard sources includes the types of hazard sources , status, stock and distribution;
[0087] Step 2: Based on the information obtained in step 1, establish a dynamic risk assessment model for hazard sources. The characteristic indicators of hazard sources considered are the inherent hazard coefficient of the hazard source, the risk coefficient of the domino effect, and the hazard coefficient of the process.
[0088] ①Inherent risk factor of hazard source
[0089] In the hazard assessment model based on the R value, the sum R of the correction ratio between the actual amount of various hazards in the unit and the critical quantity specified in the document (GB18218...
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The invention relates to a method for optimizing the allocation of emergency resources in a chemical industry park. The steps of the present invention are to establish a dynamic assessment model of hazard risk based on the traditional hazard classification model, considering the domino effect of accidents and process risk factors in combination with the characteristics of chemical industrial parks, and obtain the classification result by using the pedigree clustering method. Based on the risk level of hazard sources, a multi-objective optimal emergency resource allocation model based on the risk level of hazard sources is established by considering the rescue timeliness and economic applicability of the allocation decision; the genetic algorithm optimization method is used to optimize the multi-objective emergency resource allocation model, Finally, a configuration policy that satisfies the desired goal is obtained. The present invention aims at some difficult problems in the optimization of emergency resource configuration, and proposes a configuration optimization method with strong global optimization capability. The optimization method has openness, robustness, parallelism, flexibility, global convergence and problem-solving There are no special requirements for the mathematical form of the course.
Description
technical field [0001] The invention belongs to the technical field of information and control, relates to automation technology, and in particular relates to a method for optimizing the allocation of emergency resources in a chemical industry park. Background technique [0002] With the continuous development of the economy, the scale of the petrochemical industry is in a period of rapid expansion. Under the trend of industrial cluster development, chemical parks have become a new model for the development of my country's chemical industry. Nowadays, chemical industry parks are basically located in sensitive areas with developed economy and dense population, so they have the characteristics of capital-intensive investment, technology-intensive and equipment-intensive. In order to meet the needs of production, a large number of flammable, explosive and toxic hazards are gathered in the chemical park, so the possibility of major accidents in the chemical park is objective. ...
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IPC IPC(8): G06Q10/06G06K9/62
CPCG06Q10/06312G06Q10/0635G06F18/2321G06F18/23
Inventor 蒋鹏门金坤周硕宋秋生郑松孔亚广赵烨沈刚叶建刚苏楠
Owner HANGZHOU DIANZI UNIV