CN111538611A - Equipment fault diagnosis and health management system based on big data platform - Google Patents
Equipment fault diagnosis and health management system based on big data platform Download PDFInfo
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- CN111538611A CN111538611A CN202010237692.7A CN202010237692A CN111538611A CN 111538611 A CN111538611 A CN 111538611A CN 202010237692 A CN202010237692 A CN 202010237692A CN 111538611 A CN111538611 A CN 111538611A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
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Abstract
The invention provides an equipment fault diagnosis and health management system based on a big data platform, which comprises a data source, a storage layer, a data processing layer, a management layer and an application layer, wherein 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 for processing and analyzing the data, the data processing layer transmits the processed data to the management layer for statistical management of all data, and the application layer calls the data of the management layer to visually display the equipment fault diagnosis and health condition. The invention solves the problems of low data resource utilization rate, poor timeliness, low accuracy and low efficiency caused by insufficient monitoring management strength in the prior art.
Description
Technical Field
The invention relates to the technical field of data analysis and management, in particular to an equipment fault diagnosis and health management system based on a big data platform.
Background
The data of large-scale production equipment lacks a uniform data management platform and cannot integrate data resources of various core equipment.
The method has the advantages that the storage and processing capacity of massive heterogeneous data is lacked, the safe and efficient storage, the fast query, the report generation, the import and the export of the data are influenced, the data-based service application is few, and the data value utilization rate is low.
The efficiency of equipment fault diagnosis and analysis is influenced by the lack of the capabilities of rapid analysis, intelligent modeling, equipment state evaluation and visual display of mass equipment operation state data.
The traditional fault diagnosis mode is single, the experts are invited to consult on site, the timeliness is poor, the experts are difficult to gather, the experience is difficult to collect, the sharing is low, the efficiency is low, the cost is high, the improvement of the service level of the equipment operation and maintenance technology is not facilitated, and the timeliness and the accuracy of event identification are low.
The fault status, diagnostic report, etc. of the core device cannot be obtained and issued in time.
Disclosure of Invention
The invention provides an equipment fault diagnosis and health management system based on a big data platform, which aims to solve the problems of low data resource utilization rate, poor timeliness, low accuracy and low efficiency caused by insufficient monitoring management strength in the prior art.
In order to solve the technical problems, the invention provides an equipment fault diagnosis and health management system based on a big data platform, which comprises a data source, a storage layer, a data processing layer, a management layer and an application layer, wherein 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 and processes and analyzes the data, the data processing layer transmits the processed data to the management layer and performs statistical management on all data, and the application layer calls the data of the management layer to visually display the equipment fault diagnosis and the health condition.
The data source comprises a Dat file, an audio file, offline analysis data and offline diagnosis data.
The data processing layer comprises Dat file analysis, feature processing, data analysis and diagnosis analysis.
The management layer comprises fault knowledge, fault reasons, monthly fault numbers and vibration amplitude valves.
The application layer comprises three-dimensional diagnosis, fault statistics, a fault state and a frequency spectrum waterfall.
The invention has the following beneficial effects: compared with the prior art, the equipment fault diagnosis and health management system based on the big data platform utilizes the big data technology to construct the equipment operation state remote monitoring and fault intelligent diagnosis platform, adopts a data management scheme combining big data and relational data, completes the access and management of various types of data, realizes the safe and efficient storage, query and calculation of the data, improves the data management capability and utilization efficiency, realizes the effective management of equipment operation state data and diagnosis reports, and realizes the diagnosis and analysis of typical faults by using the fault state intelligent diagnosis algorithm.
Drawings
FIG. 1 is a block diagram of a big data platform based device fault diagnosis and health management system according to an embodiment of the present invention
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the equipment fault diagnosis and health management system based on the big data platform provided by the invention comprises a data source, a storage layer, a data processing layer, a management layer and an application layer, wherein 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 and processes and analyzes the data, the data processing layer transmits the processed data to the management layer and performs statistical management on each item of data, and the application layer calls the data of the management layer to visually display the equipment fault diagnosis and the health condition.
Further, the data source comprises a Dat file, an audio file, offline analysis data and offline diagnosis data.
Further, the data processing layer comprises Dat file analysis, feature processing, data analysis and diagnosis analysis.
Further, the management layer includes fault knowledge, fault cause, monthly fault count, vibration amplitude valve.
Further, the application layer comprises three-dimensional diagnosis, fault statistics, fault states and spectrum waterfall.
The method is characterized by realizing remote and efficient transmission and construction of equipment operation state data based on an industrial internet big data platform, integrating various algorithms based on algorithm development and modeling environments, creating a fault diagnosis analysis mining process, and automatically realizing analysis, storage, fault diagnosis analysis and display of equipment collected data.
The mode of combining artificial intelligent identification and artificial auditing is combined with abundant monitoring and diagnosis indexes, and various information supports are provided for a management system.
The state of the equipment is efficiently monitored, qualitative and quantitative fault diagnosis and change trend tracking and result notification are realized, and timely notification of fault states and diagnosis reports is realized based on the mobile terminal APP.
In summary, the equipment fault diagnosis and health management system based on the big data platform of the invention utilizes big data technology to construct the equipment operation state remote monitoring and fault intelligent diagnosis platform, adopts a data management scheme combining big data and relational data to complete the access and management of various types of data, realizes the safe and efficient storage, query and calculation of data, improves the data management capability and utilization efficiency, realizes the effective management of equipment operation state data and diagnosis reports, and realizes the diagnosis and analysis of typical faults by using the fault state intelligent diagnosis algorithm.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (5)
1. The utility model provides an equipment failure diagnosis and health management system based on big data platform which characterized in that: the data processing system comprises a data source, a storage layer, a data processing layer, a management layer and an application layer, wherein 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 to process and analyze the data, the data processing layer transmits the processed data to the management layer to perform statistical management on all data, and the application layer calls the data of the management layer to visually display equipment fault diagnosis and health conditions.
2. The big data platform based equipment troubleshooting and health management system of claim 1 wherein said data sources include Dat files, audio files, offline analytic data, offline diagnostic data.
3. The big data platform based equipment fault diagnosis and health management system of claim 1, wherein the data processing layer comprises Dat file parsing, feature processing, data analysis, and diagnosis analysis.
4. The big data platform based equipment failure diagnosis and health management system of claim 1, wherein the management layer comprises failure knowledge, failure cause, number of monthly failures, vibration amplitude valve.
5. The big data platform based equipment fault diagnosis and health management system of claim 1, wherein the application layer comprises three-dimensional diagnosis, fault statistics, fault status, spectrum waterfall.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010237692.7A CN111538611A (en) | 2020-03-30 | 2020-03-30 | Equipment fault diagnosis and health management system based on big data platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010237692.7A CN111538611A (en) | 2020-03-30 | 2020-03-30 | Equipment fault diagnosis and health management system based on big data platform |
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| CN111538611A true CN111538611A (en) | 2020-08-14 |
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| CN202010237692.7A Pending CN111538611A (en) | 2020-03-30 | 2020-03-30 | Equipment fault diagnosis and health management system based on big data platform |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104503399A (en) * | 2014-12-09 | 2015-04-08 | 华电电力科学研究院 | Group stage wind power generator set state monitoring and fault diagnosis platform |
| CN108009300A (en) * | 2017-12-28 | 2018-05-08 | 中译语通科技（青岛）有限公司 | A kind of novel maintenance system based on big data technology |
| CN110109445A (en) * | 2019-05-24 | 2019-08-09 | 连云港杰瑞深软科技有限公司 | A kind of watercraft engine room Auxiliaries Control System and monitoring method |
| CN110210634A (en) * | 2019-06-04 | 2019-09-06 | 江苏锐天信息科技有限公司 | Based on big data driving Civil Aviation Engine fault diagnosis with it is health management system arranged |
-
2020
- 2020-03-30 CN CN202010237692.7A patent/CN111538611A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104503399A (en) * | 2014-12-09 | 2015-04-08 | 华电电力科学研究院 | Group stage wind power generator set state monitoring and fault diagnosis platform |
| CN108009300A (en) * | 2017-12-28 | 2018-05-08 | 中译语通科技（青岛）有限公司 | A kind of novel maintenance system based on big data technology |
| CN110109445A (en) * | 2019-05-24 | 2019-08-09 | 连云港杰瑞深软科技有限公司 | A kind of watercraft engine room Auxiliaries Control System and monitoring method |
| CN110210634A (en) * | 2019-06-04 | 2019-09-06 | 江苏锐天信息科技有限公司 | Based on big data driving Civil Aviation Engine fault diagnosis with it is health management system arranged |
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