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Machine room fault diagnosis method and device based on knowledge graph, equipment and medium

A fault diagnosis and knowledge map technology, applied in special data processing applications, biological neural network models, unstructured text data retrieval, etc., can solve problems such as equipment integration, high complexity, poor diagnostic effect, and difficult maintenance , to achieve the effect of facilitating later troubleshooting, improving matching efficiency and troubleshooting efficiency, and improving effectiveness

Pending Publication Date: 2021-01-15
泽恩科技有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the continuous deepening of electric power information construction and the development of smart grids, the computer room, as the operation and maintenance management center, has higher and higher equipment integration and complexity, and it is becoming more and more difficult to rely on the experience diagnosis of maintenance personnel.
At present, the intelligent verification of the computer room collects the operating data of various system equipment through various sensor technologies, video technologies, and messages, but the amount of data collected is small, and traditional data mining methods such as decision trees and SDG models are used for data mining. Fault diagnosis, poor diagnosis effect and low efficiency

Method used

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  • Machine room fault diagnosis method and device based on knowledge graph, equipment and medium
  • Machine room fault diagnosis method and device based on knowledge graph, equipment and medium
  • Machine room fault diagnosis method and device based on knowledge graph, equipment and medium

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Embodiment

[0047] In this example, if figure 1 As shown, this application discloses a computer room fault diagnosis method based on knowledge graph, including:

[0048] S10: Obtain the historical operation data of the equipment in the computer room for deep learning and knowledge extraction, construct a fault knowledge map of the computer room and store it in the graph database.

[0049] In this embodiment, the historical running data includes data such as text, images and messages.

[0050] Specifically, the historical operation data of the equipment can be obtained through the equipment log of the equipment room or external industrial data. In this embodiment, the real-time operating data of the equipment can be collected through monitoring sensors, metering equipment, and monitoring software.

[0051] Further, the deep learning model can be used to carry out deep learning on historical operating data to obtain fault category information, and then construct a fault knowledge map of t...

Embodiment 2

[0070] In an embodiment, a computer room fault diagnosis device based on a knowledge graph is provided, and the knowledge graph-based computer room fault diagnosis device corresponds to the knowledge graph-based computer room fault diagnosis method in the above-mentioned embodiments. Such as image 3 As shown, the device room fault diagnosis device based on the knowledge map includes a map construction module 10 , an information acquisition module 20 and a fault diagnosis module 30 . The detailed description of each functional module is as follows:

[0071] Map building module 10, used to obtain the historical operation data structure of the equipment in the computer room for deep learning and knowledge extraction, construct the fault knowledge map of the computer room and store it in the graph database;

[0072] An information acquisition module 20, configured to acquire fault diagnosis request information of the target diagnostic device, where the fault diagnosis request in...

Embodiment 3

[0086] In one embodiment, a computer device is provided, the computer device may be a server, and its internal structure diagram may be as follows Figure 4 shown. The computer device includes a processor, memory, network interface and database connected by a system bus. Wherein, the processor of the computer device is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used to store data such as historical operation data of equipment in the computer room, fault diagnosis request information, fault alarm information, fault diagnosis results and the like. The network interface of the computer device is ...

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Abstract

The invention relates to a machine room fault diagnosis method and device based on a knowledge graph, equipment and a medium, and the method comprises the steps: obtaining historical operation data ofmachine room equipment, carrying out deep learning and knowledge extraction, constructing a machine room fault knowledge graph, and storing the machine room fault knowledge graph in a graph database;acquiring fault diagnosis request information of target diagnosis equipment, wherein the fault diagnosis request information comprises fault alarm information; and according to the fault alarm information of the target diagnosis equipment and the graph database, obtaining a fault diagnosis result of the target diagnosis equipment, and sending the fault diagnosis result to a user side associated with machine room fault diagnosis. According to the invention, the knowledge graph technology is utilized to deeply diagnose the fault reason of the machine room equipment, so that the fault diagnosisaccuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of computer room fault diagnosis, in particular to a computer room fault diagnosis method, device, equipment and medium based on a knowledge map. Background technique [0002] With the continuous deepening of electric power information construction and the development of smart grids, the computer room, as the operation and maintenance management center, has higher and higher equipment integration and complexity, and it is becoming more and more difficult to maintain by relying on the experience diagnosis of maintenance personnel. At present, the intelligent verification of the computer room collects the operating data of various system equipment through various sensor technologies, video technologies, and messages, but the amount of data collected is small, and traditional data mining methods such as decision trees and SDG models are used for data mining. Fault diagnosis, the diagnosis effect is not ...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/33G06F16/34G06N3/04
CPCG06F16/367G06F16/334G06F16/34G06N3/045
Inventor 何春平
Owner 泽恩科技有限公司
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