Intelligent perception and optimization method for function performance of urban functional area

Abstract

The invention discloses an intelligent perception and optimization method for functional performance of urban functional areas, and belongs to the field of information retrieval. The method comprises the following steps: performing quantitative statistics on functional indexes of urban plaques according to a functional area clustering result; acquiring spontaneous geographic information data of each city patch, and judging a quality index through semantic recognition; performing simulation training based on the function indexes and the quality indexes of the urban plaques, and establishing a function quality prediction model of the urban functional areas by using a machine learning method; and judging whether the prediction model is consistent with the existing spontaneous geographic information evaluation index, if not, continuing model training, and if yes, outputting the prediction model. According to the method, functional area clustering is carried out based on POI data, simulation training is carried out based on functional indexes and VGI quality indexes, an urban function quality prediction model is automatically established, and the technical problems that traditional urban functional area function performance research consumes manpower, is not objective enough and is low in efficiency are solved.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and specifically relates to an intelligent perception and optimization method for functional performance of urban functional areas. Background technique [0002] Enhancing the functional performance evaluation of urban functional areas is crucial to the sustainable development of cities, which is not only related to the rational distribution of urban population and social capital, but also closely related to residents' health, industrial output value and commercial vitality. Once the functional performance of a certain area of ​​the city does not match its functional positioning, the area will become monotonous and lack vitality, and even urban problems such as vacant houses, population loss, and overdevelopment will appear, seriously endangering the stability and sustainability of the urban system. [0003] At present, scholars have achieved fruitful results in the research on the ...

AI Technical Summary

Problems solved by technology

However, the existing technology still needs manual intervention in the process of urban function performance evaluation, the evaluation results are not objective enough, the efficiency is low, and it is impossible to monitor in real time

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