Indoor gaseous pollution source spatio-temporal information estimation method based on adjoint pulse algorithm

The invention discloses a fast estimation method for spatio-temporal information of an indoor gaseous pollution source based on an adjoint pulse algorithm. The method comprises the following steps: measuring room boundary conditions, arranging a pollutant sensor as a host sensor at an air outlet in a room, and arranging pollutant sensors as slave sensors at other positions in the room. An adjoint pulse method is utilized to solve an adjoint equation, adjoint concentration responses of all positions in a corresponding computational domain of the sensor can be obtained, and then a response characteristic matrix between the sensor and a leakage source is rapidly established; and furthermore, a regularization algorithm is utilized, and through residual error calculation and comparison, analysis of space-time information of all potential pollution sources in a calculation domain is realized. According to the method, response matrixes between different sensors and a large number of potential sources can be rapidly