The Research Of Real-time Data Interchange Among Collaboration Enterprises Based On Product Chain Collaboration Platform

The platform of industry collaboration chain of business and professional work cloud (Hereinafter referred to as the platform) is based on the collaboration business processes of automotive and parts industry, which is a industrial value chain collaboration system designed for the vehicle manufacturing enterprises, parts suppliers,parts dealers and maintenance service providers, achieved the goal of building the industrial chain business processes integrated, each information system of the enterprises interoperability connected, has now become nearly ten thousand enterprises collaborative business cloud platform. However, the existing data interchange solution of the platform neglects the demand of real-time data interchange proposed by the real-time business processes in the platform, but deal it as regular timing data interchange,which affects the business processing speed of the platform. At the same time, the data interchange configuration in the existing solution is not easily to expand and hinders the dynamic scalability of the platform. Therefore, improve and innovate the existing data interchange solution in the platform to meet the real-time and dynamic scalability requirements of the platform business process and ensure the stability and reliability of the data interchange solution is very valuable and meaningful.This thesis firstly analyzes the collaboration business process in the platform with example and the demand of the data interchange between the collaboration business processes, and obtains the shortcomings and problems of the existing data interchange solutions in the platform. On the basis of these shortcomings and problems, this thesis constructs a real-time data interchange model based on JSON format and database trigger using message queue for reliable delivery. And then combined the timer method in the existing solution, designs a real-time data interchange solution based on the platform. This thesis focuses on the analysis of the transformation between relational schema and JSON document, and uses this heterogeneous data conversion solution to design a dynamic scalable data interchange flexible configuration scheme based on the publish/subscribe pattern. The real-time data interchange solution this thesis designed works under the guidance of the rules of data interchange configuration. The data interchange working program uses a variety of data monitoring methods to detect the change of business data, the data to be interchanged is sent to the message queue to perform reliability delivery after packaging, encryption, redundancy. When the other node of the system receives the interchange data, performs the reverse operation and then applies the data matching to the local database under the guidance of the rules set by the data interchange configuration. The real-time data interchange solution designed in this thesis summarizes the common process of data interchange, combines the timing and real-time methods, and realizes both the real-time data interchange and the traditional data interchange. The solution designed in this thesis considered the real-time, accuracy, security and reliability of data interchange, and it satisfied the origin and new discoveried demand of data interchange in the platform. A functional verification of the real-time data interchange solution is designed at the end of this thesis, and it leads to a good result.