Distributed energy data fusion and application method based on multi-source heterogeneity

Abstract

The invention discloses a distributed energy data fusion and application method based on multi-source isomerism. The method is multi-source isomerism data collection, data fusion and data application oriented to the natural gas energy industry. Wherein the data acquisition comprises natural gas station instrument data, molecular company information system data and filling data; the data acquisition layer takes OPC, HTTP, WEBSERVICE and TCP / IP as transmission channels, and completes data acquisition in a distributed task scheduling mode; after data collection is completed, integrity and validity verification is carried out on the data, meanwhile, the source, the service attribute and the context information of the data are established, and fusion and storage of the data are completed; data release adopts an authorization mode, and a unified data interface service is established in a form of transmitting JSON messages by an HTTP protocol. According to the invention, the problems of data islands, data redundancy and data exchange in enterprise management are solved, and application demonstration of information acquisition automation, data service standardization and decision management intelligence is established for enterprises.

Description

technical field [0001] The invention relates to the fusion and application technology of multi-source heterogeneous data in the natural gas energy industry, in particular to a multi-source heterogeneous distributed energy data fusion and application method. Background technique [0002] With the development of information technology, in the natural gas energy industry, all subsidiaries, departments and stations have carried out informatization transformation and upgrading, and at the same time formed a situation of their own; this situation of redundant construction not only brings resources The waste increases the operating cost of the enterprise, and also increases the difficulty of data integration, reducing the operating efficiency of the enterprise. In the face of such multi-source heterogeneous data resources, the establishment of multi-source heterogeneous data collection services, data verification, fusion, storage services and unified data interface services not onl...

AI Technical Summary

Problems solved by technology

[0004] First, there are difficulties in multi-source heterogeneous multi-protocol support, especially for the real-time collection of multi-molecular companies, multi-information systems and instrumentation data in the natural gas energy industry. Acquisition and classification of instrument data;

[0005] Second, there are few technical frameworks and service platforms for multi-source and heterogeneous data collection in the natural gas energy industry

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