High-availability passenger flow data processing system

By using a highly available data processing system, the problems of data loss and errors in the existing passenger flow statistics system under network fluctuations and high concurrency were solved, achieving data integrity and accuracy and ensuring the reliability of business decisions.

CN121705342APending Publication Date: 2026-03-20HANGZHOU HUMPBACK WHALE TECHNOLOGY CO LTD +1
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Patent Information

Application Number
CN202511515775.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-22
Publication Date
2026-03-20

AI Technical Summary

Technical Problem

Existing passenger flow statistics systems often suffer from data loss, delays, and errors when faced with network fluctuations, equipment failures, and high-concurrency data reporting. Furthermore, they lack the ability to handle complex scenarios, resulting in insufficient data accuracy and availability, which impacts business decisions.

Method used

A highly available data processing system is adopted, including a data acquisition and local caching module, a cloud data access and buffering module, a highly available data cleaning process module, and a data storage and application module. Through edge caching and a multi-stage cloud cleaning process, data integrity and quality are ensured.

Benefits of technology

It effectively prevents data loss, improves data accuracy and availability, supports stable operation in scenarios with large data volumes, outputs high-quality standardized data, and provides reliable basis for business decision-making.

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Abstract

The invention discloses a high-availability passenger flow data processing system, and the system comprises a data collection and local caching module, a cloud data access and buffering module, a high-availability data cleaning process module, and a data storage and application module. According to the method, data are not lost, the accuracy, the consistency and the availability of the data are obviously improved, a solid foundation is provided for business decision making, the cloud cleaning service adopts a micro-service architecture, database decoupling and elastic telescopic design, a large-data-volume scene of a promotion activity can be easily dealt with, and the service experience is improved. Stable operation of the cleaning service and timeliness of data processing are guaranteed, various dirty data including repeated data, format errors, abnormal values and missing values can be effectively processed in the targeted cleaning stage, high-quality standardized data are output, and the system is easy to expand to adapt to business growth due to modularization and elastic expansion capacity of the cleaning service.
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