Multi-bank data interaction implementation method based on long connection

Abstract

The invention discloses a multi-bank data interaction implementation method based on long connection, and the method gets through the interaction of an enterprise with a unified server through the long connection, and the assembling, transmission and analysis of a packet are performed in the server, thereby reducing the expenditure of the resources of the enterprise. When the interaction with other new banks is increased, only a business operation server needs to be updated, and there is no need to update a front client of the enterprise. The method changes a conventional deployment mode, andchanges the independent deployment to the unified deployment and maintenance management for an enterprise. The interaction technology brings the long connection, thereby improving the interaction efficiency and reducing the expenditure of resources.

Description

technical field [0001] The present invention relates to the technical field of data communication, in particular to a method for implementing multi-bank data interaction based on long connections, which realizes a set of solutions for message assembly, message transmission, message sending, and message analysis. The enterprise's demand for multi-bank fund management breaks through the obstacle that each bank can only complete the bank's initiation instructions for the bank's transaction data. Background technique [0002] At present, the way enterprises manage funds is relatively traditional. They use the cash management software provided by banks, but they cannot communicate with the internal systems of enterprises, and can only complete the fund management of a single bank. If you manage the capital accounts of multiple banks, you need to switch systems frequently. Based on the type of software like cross-line (composed of figure 1 As shown), it increases the cost of sof...

AI Technical Summary

Problems solved by technology

Based on the type of software like cross-line (composed of such figure 1 As shown), it increases the cost of software and hardware of the enterprise, increases the cycle of software implementation, and the version consistency cannot be controlled

With the continuous improvement of functions, the number of access banks is bound to increase. If customers want to use the latest version, they need to redeploy the new version. With the rapid iteration of the project, the number of access banks increases, and customers also need to constantly update Updating the software version adds a lot of work to the implementation team

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