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Equipment fault diagnosis and health management system based on big data platform

A health management system and big data platform technology, applied in the direction of electrical digital data processing, response error generation, instruments, etc., can solve the problems of low utilization rate of data resources, low accuracy, low efficiency, etc., to improve data management capabilities and utilization efficiency, safe and efficient storage

Pending Publication Date: 2020-08-14
无锡融合大数据创新中心有限公司
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Problems solved by technology

[0007] The present invention provides a device fault diagnosis and health management system based on a big data platform to solve the problems of low data resource utilization and insufficient monitoring and management in the prior art, resulting in poor timeliness, low accuracy, and low efficiency

Method used

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  • Equipment fault diagnosis and health management system based on big data platform

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Embodiment Construction

[0015] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0016] like figure 1 As shown, a device fault diagnosis and health management system based on a big data platform provided by the present invention includes a data source, a storage layer, a data processing layer, a management layer, and an application layer. The data source transmits data to the storage layer, The storage layer divides the stored data into unstructured data and structured data, the storage layer transmits the data to the data processing layer, processes and analyzes the data, and the data processing layer transmits the processed data to the management The layer is used for statistical management of various data, and the application layer invokes the data of the management layer to visually display the fault diagnosis and...

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Abstract

The invention provides an equipment fault diagnosis and health management system based on a big data platform. The system comprises a data source, a storage layer, a data processing layer, a management layer and an application layer; and the data source transmits data to the storage layer, the storage layer divides the stored data into unstructured data and structured data, the storage layer transmits data to the data processing layer and processes and analyzes the data, the data processing layer transmits the processed data to the management layer and performs statistical management on the data, and the application layer calls the data of the management layer and visually displays equipment fault diagnosis and health conditions. According to the invention, the problems of poor timeliness,low accuracy and low efficiency caused by low data resource utilization rate and insufficient monitoring management strength in the prior art are solved.

Description

technical field [0001] The invention relates to the technical field of data analysis and management, in particular to a device fault diagnosis and health management system based on a big data platform. Background technique [0002] Large-scale production equipment data lacks a unified data management platform and cannot integrate data resources of various core equipment. [0003] The lack of storage and processing capabilities for massive heterogeneous data affects the safe and efficient storage of data, fast query, report generation, import and export, etc. There are very few business applications based on data, and the utilization rate of data value is low. [0004] The lack of rapid analysis, intelligent modeling, equipment status evaluation and visual display capabilities of massive equipment operating status data affects the efficiency of equipment fault diagnosis and analysis. [0005] The traditional fault diagnosis mode is single, and experts are invited for on-site...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/07
CPCG06F11/079G06F11/0766
Inventor 王志坚张易毕硕存
Owner 无锡融合大数据创新中心有限公司
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