Search

CN-122019216-A - Method, device, system and product for analyzing expected functional safety of intelligent driving function

CN122019216ACN 122019216 ACN122019216 ACN 122019216ACN-122019216-A

Abstract

The invention discloses a method, a device, a system and a product for analyzing the expected function safety of a intelligent driving function, wherein the method comprises the steps of obtaining a target function use case in the intelligent driving function; extracting keywords from the target function use cases to obtain target keywords, performing system-level fault analysis on the target function use cases through a set analysis method to obtain fault expression information and a target whole vehicle hazard level, determining a target scene of the target function use cases, obtaining target hazard events according to the target whole vehicle hazard level and the target scene, and performing risk analysis on the target hazard events to obtain hazard degree and controllability degree and determine an acceptance result. The method of the invention carries out the decomposition of the hazard degree and the controllability degree of the hazard event and carries out the corresponding comparison. Thus, the expected safety analysis of the functional use cases in the intelligent driving functional environment is realized. The safety and the reliability of the whole intelligent driving function system are improved. The invention is mainly used in the technical field of vehicles.

Inventors

  • QI YI

Assignees

  • 中国第一汽车股份有限公司

Dates

Publication Date
20260512
Application Date
20251208

Claims (10)

  1. 1. A method for analyzing the expected function safety of intelligent driving function is characterized by comprising the steps of obtaining a function use case in intelligent driving function, recording the function use case as a target function use case, extracting keywords of the target function use case to obtain target keywords, and carrying out system-level fault analysis on the target function use case by a set analysis method in combination with the target keywords to obtain system-level fault expression information; Comparing the preset whole vehicle hazard class condition table according to the fault expression information to determine the current whole vehicle hazard class, and marking the whole vehicle hazard class as a target whole vehicle hazard class; determining a scene of a target function use case, and recording the scene as a target scene; according to the combination analysis of the target whole vehicle hazard level and the target scene, obtaining a hazard event, and recording the hazard event as a target hazard event; Determining potential danger according to the target hazard event, recording the potential danger as target potential danger, carrying out risk analysis on the target hazard event to obtain danger degree and controllability degree, comparing the danger degree with zero to obtain a first comparison result, comparing the controllability degree with zero to obtain a second comparison result, and determining an acceptance result according to the first comparison result and the second comparison result.
  2. 2. The method for analyzing the expected functional safety of a smart driving function according to claim 1, wherein the set analysis method comprises a HAZOP analysis method or a STPA analysis method.
  3. 3. The method for analyzing the expected functional safety of the intelligent driving function according to claim 1, wherein determining the acceptance result according to the first comparison result and the second comparison result specifically comprises determining that the acceptance result is not acceptable when the first comparison result reflects that the dangerous degree is greater than zero and the second comparison result reflects that the controllable degree is greater than zero, and determining that the acceptance result is acceptable otherwise.
  4. 4. The method for analyzing the expected functional safety of a smart driving function according to claim 1, further comprising the steps of setting a first data unit, a second data unit, a third data unit, a fourth data unit, a fifth data unit, a sixth data unit, a seventh data unit, an eighth data unit, a ninth data unit, a tenth data unit, an eleventh data unit and a twelfth data unit; The first data unit is used for recording information of the target function use case; the second data unit is used for recording information of the target key words; the third data unit is used for recording fault expression information of the system level; the system comprises a fourth data unit, a fifth data unit, a sixth data unit, a seventh data unit, an eighth data unit, a ninth data unit, a tenth data unit, an eleventh data unit and a twelfth data unit, wherein the fourth data unit is used for recording information of the target whole car hazard level, the fifth data unit is used for recording information of the target scene, the sixth data unit is used for recording information of the target hazard event, the seventh data unit is used for recording information of the target potential hazard, the eighth data unit is used for recording information of the hazard level and comparison with zero, the ninth data unit is used for recording information of the first comparison result, the tenth data unit is used for recording information of the controllability level and comparison with zero, the eleventh data unit is used for recording information of the second comparison result, and the twelfth data unit is used for recording information of the acceptance result.
  5. 5. The method for analyzing the expected functional safety of a smart driving function according to claim 1, wherein the first data unit, the second data unit, the third data unit, the fourth data unit, the fifth data unit, the sixth data unit, the seventh data unit, the eighth data unit, the ninth data unit, the tenth data unit, the eleventh data unit and the twelfth data unit are sequentially integrated to form the data set.
  6. 6. The expected functional safety analysis device for intelligent driving function is characterized by comprising a processor; A memory for storing a computer readable program; The computer readable program, when executed by the processor, causes the processor to implement the method for intended functional safety analysis of intelligent driving functions as claimed in any one of claims 1 to 5.
  7. 7. The system is characterized by comprising an acquisition module, an extraction module, an analysis module, a first determination module, a second determination module, a third determination module and a fourth determination module; the acquisition module is used for acquiring a function use case in the intelligent driving function and recording the function use case as a target function use case; the extraction module is used for extracting keywords of the target function use case to obtain target keywords; the analysis module is used for carrying out system-level fault analysis on the target function use cases by combining target keywords and through a set analysis method to obtain system-level fault expression information; the first determining module is used for comparing a preset whole vehicle level hazard class condition table according to fault expression information so as to determine the current whole vehicle hazard level and recording the whole vehicle hazard level as a target whole vehicle hazard level; The second determining module is used for determining a scene generated by the target function use case and recording the scene as a target scene; The third determining module is used for obtaining a hazard event according to the combined analysis of the target whole vehicle hazard level and the target scene, and recording the hazard event as a target hazard event; The fourth determining module is used for performing risk analysis on the target hazard event to obtain a hazard degree and a controllability degree, comparing the hazard degree with zero to obtain a first comparison result, comparing the controllability degree with zero to obtain a second comparison result, and determining an acceptance result according to the first comparison result and the second comparison result.
  8. 8. The intelligent driving function prediction function safety analysis system according to claim 7, wherein the set analysis method comprises: HAZOP assay or STPA assay.
  9. 9. The system for analyzing the expected functional safety of the intelligent driving function according to claim 7, wherein in the fourth determining module, determining the acceptance result according to the first comparison result and the second comparison result specifically comprises determining that the acceptance result is not acceptable when the first comparison result reflects that the dangerous degree is greater than zero and the second comparison result reflects that the controllable degree is greater than zero, and determining that the acceptance result is acceptable otherwise.
  10. 10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method for the intended functional safety analysis of intelligent driving functions according to any one of claims 1 to 5.

Description

Method, device, system and product for analyzing expected functional safety of intelligent driving function Technical Field The invention relates to the technical field of vehicles, in particular to a method, a device, a system and a product for analyzing expected functional safety of intelligent driving. Background For intelligent network automobiles, failure of the electrical and electronic system can affect the safety of the entire vehicle. At present, a safety management of a vehicle generally adopts a functional safety mode, and the functional safety is a problem of handling faults of a software and hardware system. But only functional safety is insufficient, and thus, intended functional safety is also required. The expected functional Safety (SOTIF) is complemented by functional safety, and the safety risk of the expected functional safety is from the expected functional insufficiency or the misoperation of personnel. Therefore, how to further improve the safety of the vehicle by the intended functional safety is a technical problem that needs to be studied in the industry. Disclosure of Invention The invention provides a method, a device, a system and a product for analyzing expected functional safety of intelligent driving function, which are used for solving the technical problem of how to further improve the safety of a vehicle through the expected functional safety, and at least provide a beneficial selection or creation condition. The invention provides an expected functional safety analysis method of intelligent driving functions, which comprises the steps of obtaining functional cases in the intelligent driving functions, recording the functional cases as target functional cases, extracting keywords of the target functional cases to obtain target keywords, and carrying out system-level fault analysis on the target functional cases by a set analysis method in combination with the target keywords to obtain system-level fault expression information; Comparing the preset whole vehicle hazard class condition table according to the fault expression information to determine the current whole vehicle hazard class, and marking the whole vehicle hazard class as a target whole vehicle hazard class; determining a scene of a target function use case, and recording the scene as a target scene; according to the combination analysis of the target whole vehicle hazard level and the target scene, obtaining a hazard event, and recording the hazard event as a target hazard event; Determining potential danger according to the target hazard event, recording the potential danger as target potential danger, carrying out risk analysis on the target hazard event to obtain danger degree and controllability degree, comparing the danger degree with zero to obtain a first comparison result, comparing the controllability degree with zero to obtain a second comparison result, and determining an acceptance result according to the first comparison result and the second comparison result. Further, the set assay includes HAZOP assay or STPA assay. Further, determining an acceptance result based on the first comparison result and the second comparison result specifically includes when the first comparison result reflects that the hazard level is greater than zero; and the second comparison result reflects that the degree of controllability is greater than zero, the acceptance result is determined to be unacceptable, and otherwise, the acceptance result is determined to be acceptable. Further, the method for analyzing the expected functional safety of the intelligent driving function further comprises the steps of setting a first data unit, a second data unit, a third data unit, a fourth data unit, a fifth data unit, a sixth data unit, a seventh data unit, an eighth data unit, a ninth data unit, a tenth data unit, an eleventh data unit and a twelfth data unit; The first data unit is used for recording information of the target function use case; the second data unit is used for recording information of the target key words; the third data unit is used for recording fault expression information of the system level; the system comprises a fourth data unit, a fifth data unit, a sixth data unit, a seventh data unit, an eighth data unit, a ninth data unit, a tenth data unit, an eleventh data unit and a twelfth data unit, wherein the fourth data unit is used for recording information of the target whole car hazard level, the fifth data unit is used for recording information of the target scene, the sixth data unit is used for recording information of the target hazard event, the seventh data unit is used for recording information of the target potential hazard, the eighth data unit is used for recording information of the hazard level and comparison with zero, the ninth data unit is used for recording information of the first comparison result, the tenth data unit is used for recording information of the controllability level and compa