Automatic checking method for repeated conflicts among vehicle scene arrangement functions
Through digital matrix recording and matrix calculation, the repeated conflicts and coupling effects in vehicle function development are automatically checked, and the problem of manual inspection in the prior art is solved, and an efficient and automated inspection method is realized.
Patent Information
- Application Number
- CN202411860452.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-17
- Publication Date
- 2025-05-02
AI Technical Summary
The prior art lacks automated ways to check the repeated conflicts and coupling effects in vehicle function development, resulting in time-consuming and prone to missed inspections.
The digital matrix is used to record the functional information, and the data is automatically calculated and checked through matrix operations, and judge whether there are duplicate conflicts or design errors based on the interpretation rules.
It realizes automated inspection, saves human operation time, improves inspection efficiency, reduces the risk of missed inspection, and supports incremental inspection and universal judgment.
Smart Images

Figure CN119917394A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of developing functions in a vehicle in an orchestration manner, and in particular to automating the checking of coupling effects such as common duplication conflicts between functions developed in this manner. Background Art
[0002] Scenario choreography development is a faster and more cost-effective function development method that automakers are using in addition to traditional software development. However, the drawback is that many functions developed in this way lack overall planning and coordination of their respective operations, which can easily lead to repeated conflicts. For this reason, automakers are committed to finding ways to expose such defects between function cards during the design phase. The current solution still relies on a large amount of manual inspection, which is time-consuming and missed, and there is no open automated method in the entire industry. Summary of the invention
[0003] The purpose of the present invention is to provide an automatic and efficient method for automobile companies to inspect scene arrangement functions.
[0004] In order to achieve the above object, the present invention provides the following technical solutions.
[0005] An automated inspection method includes a method for recording various functional components, an automatic calculation method for the inspection content, and a method for making judgments based on the interpretation of the calculated data. First, the information of the functional object to be inspected is extracted in a specified manner, and the data to be analyzed is obtained through specific calculations. Then, according to the interpretation rules, it is determined whether the inspection object has design errors such as duplication and conflict.
[0006] The information extraction method of the functional object adopts a digital matrix, and different matrices are used to record various information, including at least a function-trigger condition matrix, a function-execution action matrix, an execution action-trigger condition matrix, a coefficient adjustment matrix and a discrimination parameter matrix.
[0007] The method of automatically calculating the inspection content is to obtain a set of calculation data by performing a specified matrix operation on the above-mentioned matrix.
[0008] The method of outputting judgment on the inspection object is to further perform statistical comparison on the obtained calculated data in a specified manner and output the judgment result.
[0009] To this end, the method described at least includes a specific information extraction matrix structure, a matrix operation method, a data processing method and a discrimination parameter setting.
[0010] Compared with the existing manual inspection method, the present invention has the following advantages.
[0011] The inspection method of the present invention uses a computer to complete automated calculations, saves manual operations, improves processing efficiency, and solves the problem that manual inspection is almost ineffective when a large number of inspection objects are coupled to each other.
[0012] The inspection method of the present invention adopts a digital recording method, which can extract the most useful information and reduce the resource consumption of storing and studying a large amount of useless data.
[0013] The inspection method of the present invention uses matrix operations to implement an incremental inspection of the added functions. There is no need to recalculate existing results due to the addition of new functions. The incremental results containing the new functions can be obtained by simply inputting the newly added column array and performing the same operation with the original matrix.
[0014] The inspection method of the present invention adopts universal judgment rules and can be applied to any vehicle model and function, thus avoiding inefficient and repeated inspection operations in manual mode.
[0015] The inspection method of the present invention uses xls software. As the most commonly used office software, xls spreadsheet is not only simple but also convenient to connect with the layout tools used by automobile companies to directly export data matrices without any supporting software development tasks.
[0016] Additional description of the present invention will be given in part in the following description, and its advantages will become apparent from the following description.
[0017] BRIEF DESCRIPTION OF THE DRAWINGS The above advantages of the present invention will become apparent and easily understood from the following examination requirements and implementation examples in conjunction with the accompanying drawings, wherein:
[0018] Figure 1 It is the inspection object set by the present invention.
[0019] Figure 2 is the structure of the input matrix.
[0020] Figure 3 It is the process of matrix operation.
[0021] Figure 4 This is an example of matrix operation of the present invention. DETAILED DESCRIPTION
[0022] Embodiments of the present invention are described in detail herein, and examples of the embodiments are shown in the accompanying drawings. The embodiments described with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.
[0023] As shown in 1, the input object of the method of the present invention is function 1 execution action 2 judgment condition relationship 3, and three inspection items are provided for them, namely the similarity between functions, to find out the functions with repeated contents; the overlapping degree of execution actions between functions, to find out the conflicting execution actions; the judgment condition is related to the execution action of others, to find out the scope and degree of the related influence.
[0024] like Figure 2 The input matrix structure used in the operation shown is composed of a function-execution action matrix 100, a function-judgment condition matrix 200, an execution action-judgment condition matrix 300, a function-function influence matrix 400, a weight coefficient matrix 500, a discrimination parameter matrix 600, and an output matrix 700.
[0025] Figure 3 The matrix operations shown are used for Figure 1 The three inspection objects described.
[0026] The degree of functional similarity is further measured by multiplying the function-execution action matrix 100 and the function-judgment condition matrix 200 by their own transpose to obtain a numerical value describing the degree of repetition. A corresponding position cell equal to 0 indicates complete misalignment, whereas a larger value indicates more overlapping components. Proportional conversion is used for normalization and expressed as [0,1].
[0027] The degree of overlap of execution actions between functions is further determined by finding two overlapping functions through the above calculations, taking out their respective arrays and multiplying them by the weight coefficient matrix 500 expressing the criticality of the execution actions, performing array element multiplication, and then comparing the discrimination parameter matrix 600 to obtain the result.
[0028] The total amount of other people's actions related to function judgment conditions is expressed by utilizing the transitive relationship of function>action>judgment condition>function. The corresponding matrices are multiplied together to obtain the matrix 400 by removing the autocorrelated elements on the diagonal.
[0029] Then, the discriminant parameter matrix P6 is preset according to the situation, and the above operation results are subtracted from the discriminant parameter matrix to obtain the formal output matrix P7.
[0030] like Figure 4 The operation shown can be implemented using the instructions of the xls software. The desired result can be automatically obtained by simply filling in the initial matrices 100 and 200 to be checked.
Claims
1. An automated method for checking repeated conflicts between vehicle scene arrangement functions, characterized by: How to record inspection objects, how to realize automatic inspection, how to interpret inspection data, The method of recording the inspection object is used to describe the constituent elements of the inspection object; The automatic inspection method is used to solve the interaction between inspection objects and output data; The method for interpreting the inspection data is used to output the inspection judgment result.
2. The method for automatically checking for duplicate conflicts between functions according to claim 1, characterized in that: The method of recording inspection objects uses a digital matrix in a specified format to express the composition of the object, including the functions, execution actions and the relationship between triggering conditions.
3. The method for automatically checking for duplicate conflicts between functions according to claim 2, characterized in that: Specific matrix operation processes are used to form analysis data for functions described by digital matrices.
4. The method for automatically checking for duplicate conflicts between functions according to claim 3, characterized in that: Specific mathematical statistics are used for the acquired analysis data to provide the inspection results of the target function.
5. The method for automatically checking for duplicate conflicts between functions according to claim 4, characterized in that: It also includes designated inspection items, including whether the functional design of the function is repeated, whether there are overlapping execution actions between functions, and whether the execution actions affect the judgment conditions of other functions.
6. The method for automatically checking for duplicate conflicts between functions according to claim 1, characterized in that: The information recorded in this digital matrix includes the function's reference to the judgment condition, the function's reference to the execution action, whether the execution action affects the judgment condition, and the impact of function on function.
7. The automated method for checking for duplicate conflicts between functions according to claim 2, characterized in that: Matrix operations refer to a series of basic calculations and conversions that can be performed on matrices in a sequence invented by general software, including Excel on a computer.
8. The method for automatically checking for duplicate conflicts between functions according to claim 1, characterized in that: This inspection method is applicable to the vehicle industry, where functions generated by low-code tools on computers or by a combination of setting items on mobile phones are used as inspection objects.