CN119250649A - A method for generating test item configuration for multiple filing declaration values - Google Patents
A method for generating test item configuration for multiple filing declaration values Download PDFInfo
- Publication number
- CN119250649A CN119250649A CN202411764628.9A CN202411764628A CN119250649A CN 119250649 A CN119250649 A CN 119250649A CN 202411764628 A CN202411764628 A CN 202411764628A CN 119250649 A CN119250649 A CN 119250649A
- Authority
- CN
- China
- Prior art keywords
- configuration
- item
- parameters
- parameter
- detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 70
- 238000012360 testing method Methods 0.000 title claims description 15
- 238000001514 detection method Methods 0.000 claims abstract description 86
- 238000012216 screening Methods 0.000 claims description 41
- 238000012545 processing Methods 0.000 claims description 34
- 230000002457 bidirectional effect Effects 0.000 claims description 19
- 230000000717 retained effect Effects 0.000 claims 1
- 238000001914 filtration Methods 0.000 abstract description 8
- 239000000725 suspension Substances 0.000 description 19
- 238000004519 manufacturing process Methods 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 238000007789 sealing Methods 0.000 description 9
- 238000002360 preparation method Methods 0.000 description 8
- 230000001105 regulatory effect Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 238000009960 carding Methods 0.000 description 3
- 230000001351 cycling effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application belongs to the technical field of whole vehicle detection and authentication, and particularly relates to a method for generating detection item configuration aiming at a multi-record reporting value, which comprises the following steps of constructing an item framework, dividing the item framework into items related to and irrelevant to detection items, and dividing the item framework into single-configuration items and multi-configuration items according to the singleness and diversity of reporting values corresponding to each parameter; and obtaining an initial configuration set of the detection item according to a full item arrangement and combination method or an item combination method related to the detection item, then filtering based on binding relation among parameters, and finally obtaining the final configuration of the detection item according to filtering weight of the detection item parameters. The method solves the problems of low efficiency and easy error of manual project configuration caused by the diversity and complexity of the recorded parameters, and improves the practical value of project configuration detection through a flexible, accurate and efficient configuration generation mode.
Description
Technical Field
The invention belongs to the technical field of whole vehicle detection and authentication, and particularly relates to a method for generating detection item configuration aiming at a multi-record declaration value.
Background
In the field of whole vehicle production, product declaration and authentication are key links for ensuring that vehicles accord with national regulations and industry standards. In the process, the whole vehicle production enterprises need to provide detailed detection schemes and record information for detection institutions so as to complete compliance verification and authentication of products. The record information comprises a plurality of detection parameters and corresponding declaration values thereof. However, the documented parameter may have multiple declared values, and combinations of different declared values will form multiple project configurations. In order to ensure the reporting accuracy and the detection effectiveness, the whole vehicle production enterprises and detection institutions need to accurately clear the actual conditions of all project configurations.
However, in actual operation, the number of parameters involved in detecting the project is enormous and the requirements are different, so that the process of carding the project configuration becomes complicated and error-prone. Traditionally, businesses and detection institutions have relied on manual methods to sort through this information, but due to the large number of parameters, there may be cases of mis-filling or under-filling, which further increases the complexity of configuration carding. In addition, the diversity and complexity of the recorded information make the manual project configuration of carding work load big, inefficiency, and very easily take place to miss or mistake, influence the progress of product declaration and authentication work.
Therefore, in order to improve the working efficiency of the whole vehicle manufacturing enterprises and the detection mechanism, an intelligent, efficient and convenient method is needed to help the whole vehicle manufacturing enterprises and the detection mechanism to quickly generate project configuration so as to ensure that the detection work is finished with high quality.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for generating the detection project configuration aiming at the multi-record declaration value, which can help a whole vehicle production enterprise and a detection mechanism to quickly generate the required project configuration, ensure that the detection work is successfully completed with high quality, and reduce errors and delays caused by manual operation.
In one aspect, the present invention provides a method for generating a detection project configuration for a multi-record declaration value, the method comprising:
step 1, constructing an item framework based on the relevance among recorded parameters, dividing the item framework into items related to detection items and items unrelated to the detection items according to declaration requirements, and dividing the items into single-configuration items and multiple-configuration items according to the singleness and the diversity of declaration values corresponding to parameters in each item;
Step 2, aiming at the multi-configuration items, generating item configuration according to the numerical value closed relation, the level alignment relation and the cross relation, and reporting the values of all parameters in the items;
Step 3, according to a full item arrangement combination method or an item combination method related to the detection items, firstly obtaining an initial configuration set of the detection items, then screening the initial configuration set according to binding relations among parameters, and finally filtering and re-filtering according to the parameters of the detection items to obtain final configuration of the detection items.
Further, step2 includes:
step 2.1, aiming at the items with the numerical sealing relation, firstly, arranging and combining the declaration values of all the parameters to form initial item configuration, screening the declaration values of all the parameters one by one according to the numerical sealing relation, and reserving the item configuration conforming to the numerical sealing relation;
step 2.2, combining the declaration values of the parameters one by one according to the order alignment relation for the items with the order alignment, and reserving the item configuration conforming to the order alignment relation;
And 2.3, for other items, performing cross processing if the items are m pairs of n, and performing alignment processing according to bit times or cross relation processing to obtain corresponding item configuration if the items are aligned, wherein a data structure of 1 pair of n or n pairs of n is required to be manually selected.
Further, in step 2.1, the numerical closed relationship at least includes whole length=front suspension+wheelbase+rear suspension, preparation mass=sum of corresponding axle loads in preparation state, maximum total mass=preparation mass+rated load mass+number of people×65.
Further, in step 2.2, when the number of the declaration values of each parameter in the entry is n, the ith declaration value of each parameter is aligned one by one, an ith configuration is generated, and after traversing of all bit times is completed from i=1 to n, complete entry configuration information can be obtained, and the data structure of the bit time alignment processing belongs to n pairs of n types.
Further, in step 2.3, the cross processing includes permutation and combination of the declared values of the parameters in the entry, where the number of permutation and combination is equal to the product of the number of declared values of the parameters.
Further, in step 3, the process of obtaining the final configuration of the detection item according to the full item arrangement and combination method comprises the steps of firstly arranging and combining all items to generate a complete initial configuration set of the detection item, then removing the configuration which does not meet the binding relation according to the binding relation among parameters from the complete initial configuration set, finally screening and retaining the parameters related to the detection item, and performing de-duplication on the screened configuration set of the detection item to obtain the final configuration of the detection item.
Further, in step3, the process of obtaining the final configuration of the detection item according to the item combination method related to the detection item includes identifying parameters related to a certain detection item, arranging and combining items related to the related parameters to obtain initial item configuration, judging whether the initial item configuration relates to binding constraint, if so, eliminating configurations which do not meet the binding relation according to the binding relation among the parameters, finally screening and retaining the parameters related to the detection item, and performing de-duplication processing on the obtained configuration to obtain the complete configuration of the item.
Further, in step 3, the binding relationship between the parameters includes a bidirectional binding relationship and a unidirectional binding relationship, where the bidirectional binding relationship refers to that specified reporting values of multiple parameters must occur simultaneously or not at the same time, and the unidirectional binding relationship refers to that when a preset parameter sequentially occurs a specified reporting value in the item configuration, a last parameter only can occur a specified reporting value.
Further, the process of screening according to the bidirectional binding relation comprises the steps of firstly screening parameters pair by pair for the configuration related to the bidirectional binding relation, deleting the configuration which does not meet the binding requirement, checking the n parameters pair by pair (i and i+1) from the 1 st parameter, firstly screening the declaration value regulated by the i parameter in the initial configuration, then screening the declaration value not regulated by the i+1 parameter as the configuration which needs to be deleted in the 1 st group, secondly screening the declaration value not regulated by the i parameter in the initial configuration, screening the declaration value regulated by the i+1 parameter as the configuration which needs to be deleted in the 2 nd group, deleting the two groups of configuration combinations which do not meet the binding, and cycling to the completion of processing all binding parameters.
Further, the process of screening according to the unidirectional binding relation comprises the steps of sequentially screening the declaration values specified by the ith parameter from the initial configuration, i from 1 to the last 1 preposed parameters, then screening the declaration values not specified by the last parameter in the screening result, taking the screened configuration as the deleting configuration, and rejecting from the initial configuration.
The beneficial effects of the invention are as follows:
According to the method, the system and the device, the item framework is constructed, the multiple item and the single item are processed respectively, the single item and the single item are adapted to the single and multiple requirements of different record parameters, the diversification and the reasonability of the configuration are ensured, the item configuration is automatically generated according to the numerical closed relation, the level alignment relation and the cross relation, the rapid processing of the multiple record reporting value is realized, the configuration generation efficiency is remarkably improved, the manual intervention is reduced, the comprehensive initial configuration set can be generated through the flexible application of the full item arrangement combination and the detection item related item combination method, and the screening and the de-duplication are carried out on the full item arrangement combination and the detection item related item combination method based on the binding relation, so that the more accurate and optimized final detection item configuration is obtained, the redundant configuration is avoided, and the accuracy and the performance of the system are improved.
In a second preferred implementation manner, step 2 of the present invention performs screening and combination according to different rules (numerical sealing, bit alignment, cross processing), so as to adapt to different types of parameter relationships, reduce invalid or unnecessary configuration generation, and improve overall efficiency of item configuration generation.
Third, in the preferred implementation manner, the step 3 of the invention adopts a full-item arrangement and combination mode, generates all possible configuration combinations, ensures that any configuration related to the detection item is not missed, and fully covers all the possibilities, thereby providing a complete data base for subsequent screening.
Fourth, in a preferred implementation manner, the step 3 of the invention adopts an item combination method related to the detection item, and by identifying parameters related to the detection item, the parameters are directly arranged and combined, so that the interference of irrelevant items is avoided, the generation of invalid configuration is greatly reduced, and the screening efficiency is improved. Compared with a full-item permutation and combination method, the combination method for detecting item correlation remarkably reduces the calculation complexity by reducing the scale of permutation and combination, saves the system resources, and is more suitable for processing a large configuration data set.
Fifth, in the preferred implementation mode, the invention ensures that the relevance between parameters is strictly followed through screening of the bidirectional and unidirectional binding relations, the bidirectional binding requires that the two parameters are simultaneously or not present, unreasonable combination is avoided, and the unidirectional binding ensures that the dependency relation between the front parameter and the rear parameter is reserved, thereby improving the accuracy and consistency of configuration.
Drawings
FIG. 1 is a flow chart of a method of generating a test item configuration for a multi-docket declaration value in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of an item framework of an embodiment of the present invention;
FIG. 3 is a schematic diagram of parameters of a steering force and steering stability detection item of an embodiment of the present invention;
FIG. 4 is a schematic entry diagram of a curve brake stability detection item of an embodiment of the present invention;
FIG. 5 is a schematic diagram of a configuration of entries generated in terms of a numerical closed relationship according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of generating an entry configuration according to a bit-order alignment relationship in accordance with an embodiment of the present invention;
FIG. 7 is a schematic diagram of an embodiment of the present invention generating an entry configuration in a cross-relationship;
FIG. 8 is a schematic diagram of a process according to a bi-directional binding relationship between parameters in accordance with an embodiment of the present invention;
FIG. 9 is a schematic diagram I of a process according to a one-way binding relationship between parameters in accordance with an embodiment of the present invention;
Fig. 10 is a schematic diagram ii of a process according to a unidirectional binding relationship between parameters in an embodiment of the invention.
Detailed Description
In order to make the technical scheme of the present application better understood by those skilled in the art, the present application will be further described in detail with reference to the accompanying drawings and examples.
In the description of the present application, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance, but rather the term "plurality" is intended to refer to two or more unless otherwise expressly defined. The terms "mounted," "connected," "secured," and the like are to be construed broadly, as they are used in a fixed or removable connection, or as they are integral with one another, as they are directly or indirectly connected through intervening media. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
In the description of the present application, it should be understood that the directions or positional relationships indicated by the terms "upper", "lower", "left", "right", "front", "rear", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or units referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present application.
In the description of the present specification, the terms "one embodiment/mode," "some embodiments/modes," "a particular embodiment/mode," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment/mode or example is included in at least one embodiment/mode or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments/modes or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples.
Referring to fig. 1 of the specification, the invention discloses a method for generating a detection item configuration for a multi-record declaration value, which comprises the following steps:
and 1, constructing an item framework based on the relevance among the recorded parameters, dividing the item framework into items related to detection items and items unrelated to the detection items according to the declaration requirements, and dividing the items into single-configuration items and multiple-configuration items according to the singleness and the diversity of declaration values corresponding to the parameters in each item.
The recording parameters are parameters related to the recording of the vehicle, and the detection items need to be configured by using the parameters in the recording information and the corresponding reporting values, so that different detection items are involved when reporting a certain vehicle model or a new configuration of a certain vehicle model.
Specifically, the detection items comprise electronic stability control system performance, lane departure warning system performance, vehicle forward collision warning system performance, steering force and steering stability, technical requirements of a tire burst emergency safety device, curve braking stability and the like.
Referring to fig. 2 of the specification, the record parameters are classified and integrated into entries according to the relation between the parameters, and the transportation center of the department of transportation prescribes which record parameters are related to different detection projects. The entry may be divided into an entry related to the detected item and an entry unrelated to the detected item according to whether the entry's entry parameters are related to the detected item. The reporting value of each recording parameter needs to participate in combination to form configuration, in the configuration, each recording parameter contributes 1 reporting value, if the reporting value of all parameters in one item is only 1, the corresponding item configuration is also called as single item, if one or more parameters in one item are more than 1 reporting value, the corresponding item is also called as multiple item, once 1 item is formed, the configuration generation logic of the corresponding item is also formed.
The item is similar to the item, the record parameters of the item are combined according to whether the record parameters have relevance or not, the parameters of the item are directly regulated by a transportation center of a traffic department, and when the reporting value of the same item parameter forms the item configuration, the item configuration is divided into single item configuration and multiple item configuration;
Taking fig. 3-4 of the specification as an example, fig. 3 is a parameter of a steering force and steering stability detection item, wherein A, B columns represent relevant parameters of the detection item, A columns represent parameter codes, B columns represent actual meanings of the parameters, and C columns represent declaration values of corresponding parameters, and the steering force and steering stability detection item of fig. 3 only generates one configuration, thus being a single configuration item. Fig. 4 shows items of a curve brake stability detection item, and the same reason a is listed as a parameter code, wherein parameters QJ017 and QJ071 correspond to a plurality of declared values, and the declared values of the other parameters are only 1, so that the detection item generates 5 configurations of B-G columns, and is therefore a multi-configuration item.
And 2, generating entry configuration for the declaration values of all parameters in the entries according to the numerical closed relation, the level alignment relation and the cross relation aiming at the multi-configuration entries.
Specifically, step 2 includes:
and 2.1, aiming at the items with the numerical sealing relation, firstly, arranging and combining the declaration values of all the parameters to form initial item configuration, screening the declaration values of all the parameters one by one according to the numerical sealing relation, and reserving the item configuration conforming to the numerical sealing relation.
Specifically, the numerical closed relationship at least includes total length=front suspension+wheelbase+rear suspension, total mass=sum of corresponding axle loads in the preparation state, maximum total mass=preparation mass+rated load mass+number of people×65.
One specific embodiment includes the following process:
Referring to fig. 5 of the specification, fig. 5 shows a dimension parameter when a specific vehicle length is reported, wherein the whole vehicle length comprises 2 reporting values of 11995 and 9200, the front suspension comprises 1 reporting value of 1340, the wheelbase comprises 2 reporting values of 7200 and 5100, and the rear suspension comprises 2 reporting values of 3455 and 2760. Firstly, primary arrangement and combination are carried out to generate redundant configuration, namely, the declaration values of the parameters are arranged and combined in a mode of 2 multiplied by 1 multiplied by 2 multiplied by 2=8 according to an arrangement and combination rule, 8 kinds of redundant item configuration are generated, whether the 8 kinds of configuration are met or not is checked one by one according to a numerical sealing relation of 'whole vehicle length=front suspension+wheelbase+rear suspension', and through screening, configuration 1 and configuration 8 meet the numerical sealing relation.
And 2.2, combining the declaration values of the parameters one by one according to the order alignment relation for the items with the order alignment, and reserving the item configuration conforming to the order alignment relation.
It should be noted that, for such entries (such as ESC entries, FCW entries, and satellite entries, ESC entries typically include ESC models, ESC manufacturers, and ESC controller models, and different models are manufactured by different manufacturers, and typically have different controller models), it is first determined whether the data structure is n-to-n (n declared values of all parameters) or 1-to-n (1 declared value of a part of parameters and n declared values of another part of parameters), and if the data structure does not conform to the above type, the record information of the entry is adjusted to conform to the proposed data structure type. And once the data structure is confirmed to be correct, the logic of the alignment relation of the bit times processes the declaration value of the parameter, so that the strict correspondence of the declaration value of the parameter by the bit times is ensured.
Specifically, the bit alignment relationship of the alignment process means that the declared values of the parameters are sequentially corresponding to each other in the arrangement, and no confusion exists. That is, the 1 st value is the 1 st declared value of the 1 st parameter, the 1 st declared value of the 2 nd parameter, and so on. The alignment processing process comprises the steps of aligning the ith declaration value of each parameter one by one when the number of declaration values of each parameter in the item is n, generating the ith configuration, and obtaining complete item configuration information after traversing all bit times from i=1 to n. For example, assume that there are two parameters A and B, and each parameter has 3 declared values, the declared values of the parameter A are A1, A2, A3, the declared values of the parameter B are B1, B2, B3, the generated multiple configuration items are configuration 1:A1 corresponding to B1, configuration 2:A2 corresponding to B2, and configuration 3:A3 corresponding to B3.
When the number of the declaration values of some parameters in the item is 1 and the number of the declaration values of the other parameters is n, expanding the declaration values of the 1 number of the parameters into the same n number, so that the number of the declaration values of each parameter in the item corresponds to one by one, aligning the ith declaration value of each parameter one by one to generate an ith configuration, and after traversing all the bits from i=1 to n, obtaining complete item configuration information, wherein the data structure of the bit alignment processing belongs to 1-to-n type. For example, when the number of the declaration values of the parameter A is 1 and the declaration values of the parameter A are A1, B2 and B3, and when the multiple item is generated, the declaration values of the parameter A need to be expanded to be the same as the number of the declaration values of the parameter B, namely, the declaration values of the parameter A are A1, A1 and A1, the declaration values of the parameter B are B1, B2 and B3, and the generated multiple item is that the configuration 1:A1 corresponds to B1, the configuration 2:A1 corresponds to B2 and the configuration 3:A1 corresponds to B3.
One specific embodiment includes the following process:
As shown in the accompanying figure 6 of the specification, FIG. 6 is a production configuration of 1 pair of n data structures, in the data structures, parameters comprise a satellite positioning system vehicle-mounted terminal model and a satellite positioning system vehicle-mounted terminal production enterprise, and two declaration values are K5-P and TXJ-BR4-HQ20 for the satellite positioning system vehicle-mounted terminal model. For the satellite positioning system vehicle-mounted terminal production enterprise, a declaration value is a certain information technology development limited company. The method comprises the steps of recovering the declaration value of the 'manufacturing enterprise' to the same number as the 'vehicle-mounted terminal model', namely copying the declaration value of the 'certain information technology development limited company', enabling the number of the declaration value to be consistent with the number of the declaration value of the 'vehicle-mounted terminal model', and changing the declaration value into two identical declaration values. After such adjustment, the parameters and declaration values form a standard n-to-n data structure (2-to-2). And performing alignment processing according to the recovered n pairs of n data structures to generate corresponding item configuration.
And 2.3, for other items, performing cross processing if the items are m pairs of n, and performing alignment processing according to bit times or cross relation processing to obtain corresponding item configuration if the items are aligned, wherein a data structure of 1 pair of n or n pairs of n is required to be manually selected.
It should be noted that, for such items (such as a suspension item, a container size item, and a track item, where the suspension item generally refers to a front suspension and a rear suspension, these parameters may be different according to different vehicle types or configurations, the container size item refers to parameters such as length, width, height, etc. of a container, these parameters generally need to be configured according to vehicle usage and design specifications, and the track item refers to parameters such as a1 st track, a 2 nd track, a 3 rd track, etc. which affect stability and handling of a vehicle), it is first determined whether the data structure is of m versus n type, and if the data structure is of m versus n type, it is automatically processed by adopting a permutation and combination manner to generate a corresponding item configuration. If the data structure is not m-to-n type, n-to-n or 1-to-n type, then the manual selection of the processing mode is allowed, i.e. the configuration can be generated in a cross processing mode or the bit-wise alignment relation processing can be selected.
The cross processing includes arranging and combining the declaration values of the parameters in the items, wherein the number of the arrangement and the combination is equal to the product of the number of the declaration values of the parameters.
One specific embodiment includes the following process:
Referring to fig. 7 of the drawings, fig. 7 shows a cross-processing data structure production configuration in which parameters include a "front suspension form" and a "rear suspension form", the "front suspension form" having 2 declaration values of non-independent leaf springs and non-independent air suspensions, and the "rear suspension form" having 3 different declaration values of non-independent leaf springs, non-independent air suspensions, and non-independent rubber suspensions. And multiplying the number of the declared values of each parameter to obtain the number of the redundant entry configuration as 6.
Step 2 of the present invention generates all possible sets of item configurations in a cross-combining fashion first when parameters need to satisfy a particular numerical closed relationship, whether the data structure of the items is n-to-n, 1-to-n, m-to-n, or other types. The numerical closed relation processing screens out the configurations meeting the requirements by checking whether each configuration accords with a specific numerical operation formula. The level alignment processing ensures that the parameters in each configuration are strictly matched according to the level alignment relation by corresponding the declaration values of the parameters one by one, and is applicable to the conditions that the number of the parameter declaration values is the same and the corresponding relation exists. The cross processing is to arrange and combine the declaration values of the parameters in the items by limiting the combination relation. The three processing modes are respectively aimed at different data structures and requirements, so that the configuration of the finally reserved items is comprehensive and accurate, and the integrity and logic of the declaration requirements are met.
Step 3, according to a full item arrangement combination method or an item combination method related to the detection items, firstly obtaining an initial configuration set of the detection items, then screening the initial configuration set according to binding relations among parameters, and finally filtering and re-filtering according to the parameters of the detection items to obtain final configuration of the detection items.
The method comprises the steps of firstly arranging and combining all items to generate a complete initial configuration set of the detection items, then removing configurations which do not meet the binding relation according to the binding relation among parameters from the complete initial configuration set, finally screening and retaining parameters related to the detection items, and de-duplicating the screened configuration set of the detection items to obtain final configuration of the detection items.
Identifying parameters related to a certain detection item, arranging and combining items related to the related parameters to obtain initial item configuration, judging whether the initial item configuration relates to binding constraint, if so, eliminating configurations which do not meet the binding relation according to the binding relation among the parameters, finally screening and retaining the parameters related to the detection item, and performing de-duplication processing on the obtained configuration to obtain the complete configuration of the item.
The covered parameters of the full-item permutation and combination method are wide, and the initial configuration can be obtained only by completing the screening of the binding relation once, but the method needs to arrange and combine all the items and the corresponding item configuration, so that huge data volume can be generated, and memory overflow and system performance problems can be caused. Therefore, it is applicable to a case where the number of arrangement of each entry is small.
The method for detecting the item combination related to the items can reduce the number of the items involved in combination, further reduce the calculation power requirement and the calculation complexity of the system, is suitable for the condition of limited memory resources, but has more complicated steps, and each item can obtain the initial configuration of the item only by a screening process of a binding relation.
The binding relationship between parameters includes a bidirectional binding relationship and a unidirectional binding relationship.
Specifically, a bidirectional binding relationship refers to the fact that prescribed declaration values for multiple parameters must occur simultaneously or not. Firstly, the parameters are filtered pair by pair for the configuration related to the bidirectional binding relation, and the configuration which does not meet the binding requirement is deleted. For example, assuming that bidirectional binding involves n parameters, starting from the 1 st parameter, checking pair by pair (i and i+1) first, screening the declaration value specified by the i parameter in the initial configuration, then screening the declaration value not specified by the i+1 parameter as the configuration to be deleted in the 1 st group, then screening the declaration value specified by the i parameter not specified in the initial configuration, then screening the declaration value specified by the i+1 parameter as the configuration to be deleted in the 2 nd group, deleting two groups of configuration combinations not conforming to binding, and cycling to all binding parameters to finish processing.
One specific embodiment includes:
As shown in fig. 8 of the specification, in a whole vehicle, the engine has 3 item configurations, and the quality of the engine has 3 item configurations, and when the engine has no binding relation, the 3 item configurations and the 3 base plate configurations are arranged and combined to generate a 3×3=9 initial configuration set. The bidirectional binding relation is set to be that the engine model YCS04450-88C and the preparation quality 12000 are simultaneously present or not present, the generated initial configuration set in 9 is screened, and only the configuration that the engine model YCS04450-88C and the preparation quality 12000 are simultaneously present or not present is reserved.
The unidirectional binding relationship means that when the preset parameters sequentially generate the specified declaration values in the item configuration, the last parameter only generates the specified declaration values. The specific operation is that the declaration value specified by the ith parameter is screened from the initial configuration in turn, i starts from 1 until the last 1 prepositive parameters are obtained, then the non-specified declaration value of the last parameter is screened from the screening result, the screened configuration is taken as the deleting configuration, and the configuration is removed from the initial configuration.
One specific embodiment includes:
As shown in the accompanying drawings 9-10 of the specification, the unidirectional binding relationship is set to be that the quality of the preparation can only be 12000 when the engine is selected to be of a YCS04450-88C type. Of the 9 configurations generated, all configuration items containing engine models YCS04450-88C were checked, provided that the quality of service had to be 12000, and any configuration with engine models YCS04450-88C but quality of service was not 12000 was removed. Or the unidirectional binding relation is set to be that when the replacement quality is 12000, the engine can only be selected and installed with YCS04450-88C. Of the 9 configurations generated, all contained a configuration item of quality of service 12000, with the screening condition that the engine model had to be YCS04450-88C, any configuration of quality of service 12000 but the engine model was not YCS04450-88C was eliminated.
Further, it is necessary to combine a given bidirectional binding relationship and unidirectional binding relationship to determine whether an implicit unidirectional binding relationship occurs. For example, if the part of the declaration value of the parameter a and the part of the declaration value of the parameter B are known to be in a bidirectional binding relationship, and the corresponding declaration value of the parameter B and the part of the declaration value of the parameter C are found to have a unidirectional binding relationship, then the declaration value selected by the parameter a and the declaration value selected by the parameter C also have a unidirectional binding relationship, and even if the relationship is not provided by an enterprise, supplementary screening is needed.
For the full-item permutation and combination method, the generated initial detection item configuration set contains all possible item configuration combinations, and when complete configuration information is generated, filtering or optimizing of any binding relation is not performed, and the item configuration combinations comprise redundancy and error configuration, so that when screening is performed, two-way binding relation and one-way binding relation are involved.
For the item combination method related to the detection item, after the initial detection item configuration set is generated, it is required to determine whether the configuration information is related to the binding constraint. Checking whether the parameters in the parameter sets and the bidirectional binding relation have an intersection, if the number of the intersection parameters is larger than 1, indicating that the configuration information relates to the bidirectional binding relation, because a plurality of binding parameters occur simultaneously, and if the number of the intersection parameters is smaller than or equal to 1, indicating that the configuration information does not relate to the bidirectional binding relation, because the bidirectional binding relation at least needs that two parameters occur simultaneously or do not occur simultaneously, only one or no intersection of the parameters does not form the binding relation. For example, if the initial item configuration information includes the parameter a but does not include the parameter B, the parameter intersection is 1, i.e., the parameter a. If the parameter set of the initial item configuration information completely contains all parameters in the unidirectional binding relationship, the configuration information is considered to relate to the unidirectional binding relationship, and if any one of the parameters is absent, the configuration information is considered not to relate to the unidirectional binding relationship.
The configuration after the binding relation processing is only the configuration which does not accord with the binding relation, but the configuration obtained at present is obtained by arranging and combining the configuration of the items, the items contain not only the parameters of 1 detection item but also other parameters which do not belong to the detection item, and the existence of other parameters and the declared values thereof is not a final result, so that the filtering and the duplicate removal processing are also needed according to the item parameters for the current configuration.
The foregoing is merely exemplary embodiments of the present invention, and specific structures and features that are well known in the art are not described in detail herein. It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411764628.9A CN119250649A (en) | 2024-12-04 | 2024-12-04 | A method for generating test item configuration for multiple filing declaration values |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411764628.9A CN119250649A (en) | 2024-12-04 | 2024-12-04 | A method for generating test item configuration for multiple filing declaration values |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN119250649A true CN119250649A (en) | 2025-01-03 |
Family
ID=94018888
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411764628.9A Pending CN119250649A (en) | 2024-12-04 | 2024-12-04 | A method for generating test item configuration for multiple filing declaration values |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN119250649A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002021272A2 (en) * | 2000-09-08 | 2002-03-14 | Corel Inc. | Method and apparatus for enhancing reliability of automated data processing |
| WO2002040296A1 (en) * | 2000-11-20 | 2002-05-23 | Dufournier Technologies Sas | Method and device for detecting tyre wear or the like |
| JP2009187494A (en) * | 2008-02-08 | 2009-08-20 | Hidetoshi Oda | Declaration form preparation support device and declaration form information management system |
| CN112734284A (en) * | 2021-01-22 | 2021-04-30 | 南京凯盛国际工程有限公司 | Process industry energy consumption optimization decision system and operation method thereof for improving accuracy of evaluation result under abnormal working condition |
| CN114529753A (en) * | 2022-01-18 | 2022-05-24 | 华南理工大学 | Domain-adapted target detection method based on representative feature alignment |
| CN116228168A (en) * | 2023-05-05 | 2023-06-06 | 中汽研汽车检验中心(武汉)有限公司 | Intelligent checking method for declaration parameters of commercial trucks |
-
2024
- 2024-12-04 CN CN202411764628.9A patent/CN119250649A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002021272A2 (en) * | 2000-09-08 | 2002-03-14 | Corel Inc. | Method and apparatus for enhancing reliability of automated data processing |
| WO2002040296A1 (en) * | 2000-11-20 | 2002-05-23 | Dufournier Technologies Sas | Method and device for detecting tyre wear or the like |
| JP2009187494A (en) * | 2008-02-08 | 2009-08-20 | Hidetoshi Oda | Declaration form preparation support device and declaration form information management system |
| CN112734284A (en) * | 2021-01-22 | 2021-04-30 | 南京凯盛国际工程有限公司 | Process industry energy consumption optimization decision system and operation method thereof for improving accuracy of evaluation result under abnormal working condition |
| CN114529753A (en) * | 2022-01-18 | 2022-05-24 | 华南理工大学 | Domain-adapted target detection method based on representative feature alignment |
| CN116228168A (en) * | 2023-05-05 | 2023-06-06 | 中汽研汽车检验中心(武汉)有限公司 | Intelligent checking method for declaration parameters of commercial trucks |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108763828B (en) | A Statistical Analysis-Based Model Validation Method for Small-Sample Data | |
| CN107247830A (en) | A kind of automotive suspension K＆C characteristics tolerance optimization method and system | |
| CN110147371A (en) | A kind of Vehicle Identification Number management method | |
| CN110555770A (en) | Block chain world state checking and recovering method based on incremental hash | |
| CN119250649A (en) | A method for generating test item configuration for multiple filing declaration values | |
| WO2024067489A1 (en) | Rail vehicle suspension parameter screening method and apparatus, and device and medium | |
| CN112084910B (en) | Fault diagnosis method and system | |
| CN112785010B (en) | Multi-component dynamic maintenance strategy optimization method for rail transit train system | |
| CN114756995B (en) | Integral offset method of complex curved surface lamellar body model | |
| CN114818326A (en) | Verification method and device for urban rail transit electronic map | |
| CN111198920A (en) | Method and device for synchronously determining comparison table snapshot based on database | |
| CN112084909B (en) | Fault diagnosis method, system and computer readable storage medium | |
| CN110827429B (en) | Truck ETC lane PSAM card blacklist checking method and device | |
| CN111782493A (en) | Modeling assistance system and method for modeling data validation of MES | |
| CN116719775A (en) | Vehicle accessory information management system and method | |
| US8924773B1 (en) | Reducing file system data unavailability window by adapting hierarchical recovery framework | |
| CN115373366A (en) | An interactive diagnosis system, diagnosis method and storage medium | |
| CN112036473A (en) | Traffic accident risk assessment method based on high-risk traffic behavior database | |
| US7082586B2 (en) | Method and arrangement for the comparison of technical system by means of system replacements | |
| CN200979798Y (en) | A magnetic disk servo information check device | |
| CN117274027B (en) | Image processing chip with hardware safety redundancy | |
| CN115295061B (en) | Memory firmware overhauling method and system | |
| CN119149306B (en) | Data processing method of distributed database, electronic equipment and storage medium | |
| CN118820212B (en) | Method, equipment and medium for comparing and correcting in-transit charging data | |
| CN115755824B (en) | Test method and device for regional controller |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |