Search

CN-121996454-A - Fault tree analysis method, device and system and electronic equipment

CN121996454ACN 121996454 ACN121996454 ACN 121996454ACN-121996454-A

Abstract

The invention discloses a fault tree analysis method, device and system and electronic equipment, and relates to the technical field of fault trees. The method comprises the steps of obtaining user behavior data corresponding to basic events of personnel operation based on a preset test program, wherein the basic events of personnel operation are basic events in a fault tree to be analyzed, obtaining occurrence probability and a random number sequence corresponding to the basic events of personnel operation according to the user behavior data, and obtaining a fault tree analysis result of the fault tree to be analyzed according to the occurrence probability and the random number sequence. Therefore, the occurrence probability and the random number sequence are obtained according to the predictive test program capable of reflecting the personnel state, so that the occurrence probability and the random number sequence can reflect the state of an operator corresponding to the basic event of personnel operation, and high-accuracy fault tree analysis is realized.

Inventors

  • SUN JINGYU

Assignees

  • 聚变新能(安徽)有限公司

Dates

Publication Date
20260508
Application Date
20260105

Claims (10)

  1. 1. A fault tree analysis method, the method comprising: Acquiring user behavior data corresponding to a personnel operation basic event based on a preset test program, wherein the personnel operation basic event is a basic event in a fault tree to be analyzed, the user behavior data is periodically acquired data, and the user behavior data is data obtained by operating the preset test program by an operator corresponding to the personnel operation basic event; obtaining occurrence probability and a random number sequence corresponding to the basic event of personnel operation according to the user behavior data; And obtaining a fault tree analysis result of the fault tree to be analyzed according to the occurrence probability and the random number sequence.
  2. 2. The fault tree analysis method according to claim 1, wherein the obtaining, from the user behavior data, the occurrence probability and the random number sequence corresponding to the human operation basic event includes: And obtaining attention scores according to the user behavior data, and obtaining the occurrence probability and the random number sequence according to the attention scores.
  3. 3. The fault tree analysis method of claim 2, wherein deriving the probability of occurrence from the attention score comprises: obtaining an occurrence probability interval according to the attention score and a preset attention score-occurrence probability interval mapping relation; and selecting from the occurrence probability interval to obtain the occurrence probability.
  4. 4. The fault tree analysis method of claim 2, wherein deriving the sequence of random numbers from the attention score comprises: and selecting a plurality of random numbers from random number intervals corresponding to the attention score to obtain the random number sequence.
  5. 5. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, which computer program, when executed by the processor, implements the fault tree analysis method according to any of claims 1-4.
  6. 6. A fault tree analysis apparatus, the apparatus comprising: The system comprises an acquisition module, a judgment module and a control module, wherein the acquisition module is used for acquiring user behavior data corresponding to basic events of personnel operation based on a preset test program, and acquiring occurrence probability and a random number sequence corresponding to the basic events of the personnel operation according to the user behavior data, wherein the basic events of the personnel operation are basic events in a pre-constructed fault tree to be analyzed, the user behavior data are periodically acquired data, and the user behavior data are data obtained by operating the preset test program by an operator corresponding to the basic events of the personnel operation; And the evaluation module is used for obtaining a fault tree analysis result of the fault tree to be analyzed according to the fault tree to be analyzed, the occurrence probability and the random number sequence.
  7. 7. The fault tree analysis device of claim 6, wherein the acquisition module is further configured to: And obtaining attention scores according to the user behavior data, and obtaining the occurrence probability and the random number sequence according to the attention scores.
  8. 8. The fault tree analysis device of claim 7, wherein the acquisition module is further configured to: And obtaining an occurrence probability interval according to the attention score and a preset attention score-occurrence probability interval mapping relation, and selecting the occurrence probability from the occurrence probability interval.
  9. 9. The fault tree analysis device of claim 7, wherein the acquisition module is further configured to: and selecting a plurality of random numbers from random number intervals corresponding to the attention score to obtain the random number sequence.
  10. 10. A fault tree analysis system comprising a fault tree analysis apparatus according to any one of claims 6 to 9.

Description

Fault tree analysis method, device and system and electronic equipment Technical Field The present invention relates to the field of fault tree technologies, and in particular, to a fault tree analysis method, device, system, and electronic device. Background The fault tree analysis is a qualitative and quantitative safety analysis method widely applied to high-reliability systems (such as nuclear power, aerospace, chemical industry, rail transit and the like) from top to bottom. The core is that a system top event (such as 'system failure') is decomposed into a plurality of intermediate events and basic events layer by layer through a logic gate (such as 'AND gate', 'OR gate'), so that the overall failure probability of the system is calculated by using Boolean operation and Monte Carlo simulation. However, the fault tree analysis in the related art ignores the influence of the dynamic change of human factors on the analysis result, so that the analysis result cannot reflect the dynamic risk in the real scene, and the accuracy of the fault tree analysis result is low. Disclosure of Invention The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, a first object of the present invention is to propose a fault tree analysis method to achieve a fault tree analysis with high accuracy. A second object of the invention is to propose an electronic device. A third object of the present invention is to provide a fault tree analysis device. A fourth object of the present invention is to propose a fault tree analysis system. In order to achieve the above purpose, an embodiment of the first aspect of the present invention provides a fault tree analysis method, which includes obtaining user behavior data corresponding to basic events of personnel operation based on a preset test program, wherein the basic events of personnel operation are basic events in a fault tree to be analyzed, the user behavior data are periodically obtained data, the user behavior data are data obtained by operating the preset test program by an operator corresponding to the basic events of personnel operation, obtaining occurrence probability and a random number sequence corresponding to the basic events of personnel operation according to the user behavior data, and obtaining a fault tree analysis result of the fault tree to be analyzed according to the occurrence probability and the random number sequence. In addition, the fault tree analysis method according to the embodiment of the invention can also have the following additional technical characteristics: According to one embodiment of the invention, the obtaining the occurrence probability and the random number sequence corresponding to the personnel operation basic event according to the user behavior data comprises obtaining attention scores according to the user behavior data and obtaining the occurrence probability and the random number sequence according to the attention scores. According to one embodiment of the invention, the occurrence probability is obtained according to the attention score, and the occurrence probability is obtained by obtaining an occurrence probability interval according to the attention score and a preset attention score-occurrence probability interval mapping relation and selecting the occurrence probability from the occurrence probability interval. According to one embodiment of the invention, the random number sequence is obtained according to the attention score, and the random number sequence is obtained by selecting a plurality of random numbers from random number intervals corresponding to the attention score. To achieve the above object, an embodiment of a second aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and running on the processor, where the computer program is executed by the processor to implement the fault tree analysis method described above. In order to achieve the above purpose, an embodiment of a third aspect of the present invention provides a fault tree analysis device, which includes an acquisition module configured to acquire user behavior data corresponding to a basic event of personnel operation based on a preset test program, and obtain an occurrence probability and a random number sequence corresponding to the basic event of personnel operation according to the user behavior data, where the basic event of personnel operation is a basic event in a pre-constructed fault tree to be analyzed, the user behavior data is periodically acquired data, and the user behavior data is data obtained by an operator corresponding to the basic event of personnel operation operating the preset test program, and an evaluation module configured to obtain a fault tree analysis result of the fault tree to be analyzed according to the fault tree to be analyzed, the occurrence probability and the ran