Gas leakage source intensity back calculation improved search algorithm

The invention discloses a gas leakage source intensity back calculation improved search algorithm. The algorithm comprises the following steps of acquiring concentration measurement data of a leakagesite by using a sensor network, calculating concentration calculation data of the leakage site by using a priori diffusion model, converting a back calculation problem into an optimal solution problemby establishing a function relationship between the measurement data and the priori diffusion model, and completing a leakage source parameter estimated value by using an improved genetic algorithm,taking an estimated value result of the improved genetic algorithm as a Markov chain Monte Carlo sampling initial sampling point, and obtaining a probability distribution range of a leakage source position by utilizing the Markov chain Monte Carlo sampling algorithm, using the distribution range of leakage source positions provided by the Markov chain Monte Carlo sampling algorithm, using a mobilerobot to enter the site for