A discrete filtering method based on eco-city theory for analyzing the needs of environmentally friendly community facilities

Eco-city is a new trend of urban development in the future. Based on the theoretical research and practice of eco-city, a discrete filtering method based on evidence theory was proposed to analyze the demand of supporting facilities for the elderly at home to improve the validity of the demand analysis of supporting facilities for the elderly at home. Firstly, the original indicators of the service quality evaluation of community pension institutions are constructed to realize the project inspection and reliability analysis of the data; Secondly, the cost function is designed for the dynamic characteristic model of the demand analysis for supporting facilities in the old-age community based on the likelihood estimation algorithm, it obtains the observation matrix of dynamic characteristics of demand analysis for supporting facilities in old-age community under the condition of discrete filtering, and achieves effective defense against noise interference. Then, a real experimental environment is established to analyze and track the needs of supporting facilities in the old-age community, and the influence of noise in the process of analyzing and locating the needs of supporting facilities in the old-age community is analyzed experimentally. The experimental results show that the algorithm designed in this paper has a higher accuracy than the locating and tracking algorithm for the needs analysis of the supporting facilities of the elderly community using the discrete filtering algorithm alone, the effectiveness of the proposed algorithm is verified.