Urban area people flow real-time monitoring and calculating method

Abstract

The invention discloses an urban area people flow real-time monitoring and calculating method. Obtained boundary information of any area of a city is divided into a production end, a consumption end and a task additional recording end; the production end mainly achieves a time-space information data real-time access function, completes data cleaning, judges data quality and generates scheduling for high-quality data in real time, extracts features from the low-quality data to generate an intermediate table, and stores the intermediate table in a data cache pool; the consumption end is used for reading cache pool data, judging data quality, generating a schedule for high-quality data in real time, and carrying out task scheduling according to each task state, execution sequence and restart frequency marked by the schedule, and the task scheduling mainly comprises a calculation task and a prediction task; the task additional recording end is send for reading off-line data, judging data quality, and calculating a regional people flow condition. The method solves the problem of real-time calculation of ten-million-level moving objects based on space-time big data, has the advantages of highly flexible streaming time window, high throughput and the like, is more accurate in calculation result, and supports offline additional recording results.

Description

technical field [0001] The invention belongs to the field of computer technology, and relates to the calculation of using big data technology to monitor the flow of people in urban areas, in particular to a method for real-time monitoring and calculation of the flow of people in urban areas. Background technique [0002] Big data technology has brought about fundamental changes in data and information processing methods, and urban management should move towards a "smart governance" model. It emphasizes the extensive application of knowledge and technology represented by big data, and provides a solution for the country and the government to deal with urban management affairs. Provide data support in real time to improve the predictive power of transaction processing, the power of control during the event, and the power of post-event monitoring. In public places with high concentration of urban crowds, such as scenic spots, shopping malls, gymnasiums, conference venues, etc.,...

AI Technical Summary

Problems solved by technology

Because the business that needs real-time or quasi-real-time push, such as management and control, depends on the quality of data push, and due to the incomplete continuity of data itself and the delay of front-end processing, it is necessary to design methods to make up for the inaccurate business service results caused by incomplete data.

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