Engineering monitoring data management system based on block chain and working method thereof

Abstract

The invention discloses an engineering monitoring data management system based on a block chain and a working method thereof. The engineering monitoring data management system comprises a block chainnetwork and at least one block chain node distributed in the block chain network, wherein each block chain node is provided with one or more combinations of an identity authentication module, a data uploading module, a data consensus module, a data analysis module, a data storage module and a data disclosure module. According to the method, uploaded monitoring data are encrypted, identity certificates are added, and traceability of the monitoring data is achieved; the authenticity of the data is verified before the monitoring data is analyzed, so that the reliability of a data alarm state is improved; and the data alarm state is stored in a block chain to realize real-time update of the alarm state of the monitoring data and tracing of state change information.

Description

technical field [0001] The invention belongs to the technical field of engineering monitoring, and in particular relates to a blockchain-based engineering monitoring data management system and a working method thereof. Background technique [0002] With the gradual development of urban construction, new projects often face more complex water and soil environments and surrounding environments, with high project risk factors and difficult construction. Engineering information monitoring is of great significance for guiding construction. At this stage, the management of monitoring data is generally to establish a centralized information system to realize monitoring data collection, processing, analysis, early warning, and release. This centralized information system management method has the following trust and security defects: [0003] (1) There are misrepresentations, omissions, malicious modifications, etc. in the data collection, and the data source cannot be effectively...

AI Technical Summary

Problems solved by technology

[0003] (1) There are misrepresentations, omissions, malicious modifications, etc. in the data collection, and the data source cannot be effectively preserved;

[0004] (2) The data analysis process and pre-alarm process are directly run in the background of the system according to the data collection situation, lack of verification of the data source, and the alarm process and alarm update cannot be effectively traced;

[0005] (3) Using a centralized database, data ownership cannot be guaranteed when it is applied to industry enterprises;

[0006] (4) The centralized database has a high probability of being attacked at one time, and it is difficult to monitor whether there is data tampering in the centralized database

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