Intelligent city information infrastructure planning system

Abstract

The invention relates to an intelligent city information infrastructure planning system, which comprises a geographic information identification module for acquiring an image of a to-be-planned area and identifying various construction lands and infrastructures in the to-be-planned area through a convolutional neural network; the parameter calculation module is used for obtaining candidate planning point coordinates of the target infrastructure and calculating a planning score of the target infrastructure according to the candidate planning point coordinates and preset infrastructure evaluation parameters; the planning point position optimization module is used for acquiring candidate planning point coordinates of all the target infrastructures in the to-be-planned area, calculating planning scores of all the target infrastructures, carrying out multiple times of optimization according to an optimization algorithm, calculating the sum of the planning scores after each time of optimization, and obtaining a planning result; and taking the candidate planning point coordinates corresponding to all the target infrastructures when the sum of the planning scores is the highest as final infrastructure planning coordinates. Compared with the prior art, the method has the advantages of improving the efficiency of target infrastructure point selection in urban planning, reducing the laborcost in urban planning and the like.

Description

technical field [0001] The invention relates to the technical field of urban planning, in particular to an intelligent city information infrastructure planning system. Background technique [0002] At present, the demand for 5G communication continues to grow, and the integration services with various industries such as transportation, industry, and medical care are also gradually developing. The construction needs of various urban facilities such as communication base stations, pipelines, and computer rooms have also increased. However, this type of planning still requires a lot of manpower, and each plan is relatively independent of each other, which is time-consuming and labor-intensive. [0003] Machine learning is a method of using various algorithms to mine the rules of input data and extract models for prediction through data training. Convolutional neural network is a new type of machine learning method that is especially suitable for mining hidden information in im...

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