Dangerous chemical gas leakage isoconcentration line mass center track tracing algorithm

Abstract

The invention discloses a dangerous chemical gas leakage isoconcentration line mass center track tracing algorithm. The algorithm includes the following steps: acquiring dangerous chemical gas concentration data collected on site and calculating multiple sets of simultaneous isoconcentration line mass center data; conducting linear fitting on isoconcentration line mass center data sets in time sequence; acquiring gas leakage source position data according to a linear fitting result. First, the mass center of isoconcentration lines at each moment is obtained, and then the mass center of the isoconcentration lines in the time sequence is subjected to linear fitting by utilizing the linear moving track of the isoconcentration line mass center with the time. The location of a leakage source can be found quickly in the reverse wind direction of the fitted line to provide quick guidance for leakage emergency response, and the leakage accident expansion can be effectively controlled. The algorithm also provides a scientific theoretical basis for selection of initial population data and initial values for solving a genetic algorithm and a pattern search algorithm based on the optimized theoretical method, the iterative calculation time for the optimized theoretical method is shortened, and the calculation accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of hazardous chemical gas leakage detection, in particular to an algorithm for tracing the source of isoconcentration line centroid trajectory of hazardous chemical gas leakage. Background technique [0002] Hazardous chemical gas leakage is often sudden, resulting in uncertainty about the time, location and environment of the leakage. In an emergency situation, it is required to determine the unknown leakage source in the shortest time under the limited condition of lack of information, so as to further determine the emergency evacuation area and safety distance, and provide a basis for emergency decision-making. Therefore, the research on leakage source location and source strength inverse calculation in emergencies can support emergency response decision-making, improve emergency evacuation effects, and provide decision-making reference and support for the formulation of evacuation plans, thereby reducing...

AI Technical Summary

Problems solved by technology

[0007] For different initial values, the pattern search can search for the optimal solution, but the time spent is different

For the genetic algorithm, the initial population affects the number of iterations and solution accuracy of the genetic algorithm. If the gap between the initial population and the optimal solution is large and the range is small, the true solution cannot be searched.

Images