Research on Elderly Services Based on Matlab Image Processing and SPSSPRO

At present, the trend of aging in China is getting more and more serious, and it is of great significance to predict the number of beds demanded by the elderly. In this paper, we firstly investigated and analyzed, we chose the number of the elderly population, the "elderly model 9037", the constant level of Chinese household consumption and the degree of self-reliance of the elderly as the variables of the model of the demand for elderly service beds. By reviewing the number of elderly population and the number of labor employment in China from 2009-2018 using polynomial fitting to reasonably predict the values of the two variables for each year from 2019-2025, substituting them into the model of demand for senior care service beds to derive the values of the demand for senior care service beds. Secondly, the model of balance of payments and revenues is established to consider the costs and revenues, and the amount of revenues and expenditures is calculated according to the different types of elderly people. The potential revenue in different years is calculated to quantify the size of the market opportunity. Meanwhile, to further address the current situation of the prominent contradiction between supply and demand of elderly facilities in Jiancaoping District, Taiyuan City, this paper utilizes Matlab image processing technology and SPSSPRO software to carry out K-mean clustering algorithm, and designs a reasonable planning scheme for the elderly facilities in the district.