Platform cascading method and system based on Rabbit MQ and Socket.io

Abstract

The invention relates to a platform cascading method and system based on Rabbit MQ and Socket.io. The method includes the following steps that S1, administrative region division codes and platform codes are used as queue names and routing keys, and when task assistance or feedback assistance information is sent, messages are sent to designated queues through the designated routing keys; when all levels of platforms read the task assistance/feedback messages, the messages are read from the corresponding queues through the designated routing keys; S2, a socket.io message real-time push background service is set up based on the Node.js environment, other server applications or clients submit the messages needing to be pushed to the socket.io background service in the JSON format, and the messages are pushed or broadcast to the clients through the socket.io background service. Task cooperation, information feedback and part business data exchange functions can be achieved among multiple stages of transregional and heterogeneous platforms, and the seamless data demand of police in the synthetic combat process is met.

Description

technical field [0001] The present invention relates to the technical field of distributed services, and more specifically, relates to a platform cascading method and system based on RabbitMQ and Socket.io. Background technique [0002] In the deployment process of large-scale information systems in the public security industry, distributed deployment of multi-level platforms (national, provincial, municipal, district and county levels) is often required, and these platforms are often heterogeneous or provided by different vendors, so , it is particularly important to establish a data exchange function between these cross-regional, heterogeneous multi-level platforms. In the traditional platform data exchange methods in the past, data exchange is often carried out through database synchronization, ftp, WebService and other technologies, which are relatively deficient in data security, data confidentiality, system performance, system integration and concurrency, etc., especia...

AI Technical Summary

Problems solved by technology

In the traditional platform data exchange methods in the past, data exchange is often carried out through database synchronization, ftp, WebService and other technologies, which are relatively deficient in data security, data confidentiality, system performance, system integration and concurrency, etc., especially The implementation method between heterogeneous platforms is relatively complicated and needs to be integrated one by one. The platforms are interdependent and the coupling is too high. A network failure, downtime or maintenance of one platform may easily lead to failures of other platforms.

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