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In order to reduce the emission of ecological environment and the pollution of ecological environments and improve the sustainable development of ecological economy, so an improved model of the wavelet (War) based on the improved gravity optimization algorithm (IGSA) is proposed (IGSAWar). The method uses an improved gravitational algorithm to optimize the wavelet, establish an optimization model, and predict the different NOx emissions of coal-fired boilers. Firstly, the grid algorithm is used to initialize the population, and the particle is updated based on the fitness value adaptive decrements inertia weight. Numerical simulation results verify the effectiveness and superiority of the proposed algorithm (López-Hernández, 2018). Then the IGSA is used to optimize the selected hyper-parameters to improve the prediction accuracy and generalization ability of the model; the wavelet model optimizes the noisy emission data to reduce the impact of noise on the system. Finally, taking the discharge of 330 MW coal-fired boiler in a thermal power plant as the research object, the NOx soft measurement model of IGSA-War is established. The simulation results show that the optimization model has high prediction accuracy and generalization ability, and can effectively measure NOx emissions.

RESEARCH ON THE OPTIMIZATION OF THE ANALYSIS METHOD OF ECOLOGICAL ENVIRONMENT EMISSION DATA