An urban macro-regional information analysis system based on a big data platform

Abstract

The invention provides an urban macro regional information analysis system based on a large data platform. The urban macro regional information analysis system comprises a video monitoring information interface, a mobile positioning information interface, a ground information interface, a distribution density calculation module, a regional dynamic collection module, a regional information generation module, a regional information feature mining module and a regional prediction application module. The urban macro regional information analysis system provided by the invention extracts large data information reflecting human flow distribution and vehicle flow distribution on a macro scale covering the entire city through polybasic front end interfaces, and executes regional collection according to position information and motion change information contained in the large data to form regional information, extracts dynamically changing hotspot regions, finds the connection relation of the regions and predicts and responds to the human flow distribution and the vehicle flow distribution according to the regional information, so as to assist the urban comprehensive management on the macro scale.

Description

technical field [0001] The present invention relates to the field of data analysis and processing, in particular to an urban macro-area information analysis system based on a big data platform. Background technique [0002] With the increasing urban population and construction scale, comprehensive urban management—including traffic command, police force deployment, public service manpower and material resource allocation, communication guarantee, material supply, etc.—is more and more related to the safety of social life , normal and orderly operation, but also increasingly plagued by lack of information and feedback lag. Traditional urban management mainly relies on the empirical estimation and on-the-spot judgments of relevant departments, such as arranging personnel at intersections that are prone to congestion during peak traffic hours, or setting up temporary communication base station vehicles at large-scale event venues, etc., but the scientific nature is relatively p...

AI Technical Summary

Problems solved by technology

However, the above informatization equipment and systems only realize the collection, transmission and dissemination of information related to urban management, but they cannot analyze, identify and respond on a quantitative basis to the traffic, people flow and other information collected from various areas of the city. It can only provide materials for relevant departments to make empirical judgments, and cannot realize scientific assessment and accurate prediction of the actual situation of urban areas, nor can it support early response

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