Hot fee data summarization and abnormity alarm system and method based on message queue

Abstract

A hot fee data summarization and abnormity alarm system and method based on a message queue comprises an operation charge management system, message queue middleware, a log processing system and a timed task processing system, and the operation charge management system generates logs and sends messages to the message queue middleware; the message queue middleware sends the message to the log processing system; the log processing system processes the summarized ledger and the abnormal ledger; the timed task processing system resends the business logs which are not processed to the message queue middleware; the method comprises the following steps: S1, establishing a summarized machine account and an abnormal machine account as data sources of real-time data summarization and abnormal alarm functions; s2, establishing a service detail data log table; s3, keeping a service log in the service function processing; s4, the log processing system processes the service log; s5, processing the missed business log by the timed task; and S6, establishing summarized data query and abnormal data push functions. Quasi-real-time performance of data is guaranteed, and statistical requirements of services are met.

Description

technical field [0001] The invention belongs to the technical field of heating fee collection and management, and in particular relates to a method for summarizing heat fee data and abnormal alarming based on message queues. Background technique [0002] Heat fee is the lifeblood of the production and operation of heating enterprises, and heat fee collection is one of the core business tasks of heating enterprises. With the improvement of the refinement of the management of heating enterprises, the real-time requirements for heat fee collection data are also increasing. Real-time requirements include two aspects, one is the real-time summary statistics of companies and branches; the other is real-time alarm of business abnormal data. The data range includes area ledger, receivable / arrears ledger, and charging ledger. [0003] The traditional solution is to directly query the business detailed data, but with the increase of the heating period, the amount of data increases g...

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Problems solved by technology

If the summary of heat cost data and abnormal alarm cannot meet the above requirements, real-time and high efficiency cannot be guaranteed

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