A method for collecting and storing device data

Abstract

The present invention relates to the field of data storage, in particular to a method for collecting and storing device data, adopting a P2P mode for storing data, and collecting and transmitting data through TCP Modbus communication mode between devices and storage nodes, and between storage nodes and storage nodes; The matrix heterogeneous architecture is adopted to replace the local central control node with maintenance nodes; the database + blockchain storage mode is adopted, and the blockchain non-relational database storage mode is adopted for non-relational data; the relational database storage mode is adopted for real-time status data of equipment. The invention realizes redundant storage of local device data, improves data storage security, solves the problem of low storage cost performance caused by excessive storage capacity of nodes, and realizes a balance between data security and storage.

Description

technical field [0001] The invention relates to the field of data storage, in particular to a method for collecting and storing equipment data. Background technique [0002] At present, in the field of equipment maintenance and management, based on the collection and storage of equipment status and history parameter data, a single technical mode of server client is mainly used. Although server client technology is beneficial to reduce the calculation and storage pressure of terminal nodes, it is convenient for centralized management and control, but there are some problems as follows: [0003] One is the separate collection and centralized storage of equipment data, resulting in data loss and inaccessibility due to network failures; [0004] The second is that centralized storage increases the storage and processing pressure of the server. Only measures such as reducing the amount of terminal data collection can relieve the pressure. In the era of big data and artificial in...

AI Technical Summary

Problems solved by technology

[0003] One is the separate collection and centralized storage of equipment data, resulting in data loss and inaccessibility due to network failures;

[0004] The second is that centralized storage increases the storage and processing pressure of the server. Only measures such as reducing the amount of terminal data collection can relieve the pressure. In the era of big data and artificial intelligence, the amount of data stored on storage devices affects the impact of data on equipment and systems. Analysis, management and control capabilities and efficiency;

[0005] Third, equipment and management data collection and storage are usually secured through technologies and mechanisms such as server data backup and core attribute data encryption. However, data recovery and accessibility are greatly affected by data servers, and most data are stored in plain text. There are security risks

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