Dynamic evaluation system for CAD collaborative design projects based on coupling risk identification

Abstract

The present invention relates to a dynamic evaluation system for CAD collaborative design projects based on coupling risk identification. A three-layer technical architecture is constructed using the ZWCAD platform, including an adaptation layer, which uses the underlying API interface of the ZWCAD platform to adapt to the DAMO database and Kylin operating system, and is used to automatically parse design drawings in formats including DWG, DWF, and JPG; a data perception layer, which is based on the interface of the ZWCAD platform and captures design process data in real time. The design process data includes project stages, review records, and drawing versions; and an intelligent computing layer, which realizes intelligent management and control of the entire life cycle of design quality and process risks through a layered shortboard penalty mechanism and a cross-indicator risk coupling algorithm.

Description

Technical Field

[0001] The present invention belongs to the technical field of design project evaluation, and in particular relates to a CAD collaborative design project dynamic evaluation system based on coupling risk identification. Background Art

[0002] Currently, computer-aided design (CAD) is widely used in the engineering design field, which is a technical system combined with project management. However, traditional evaluation methods are still dominant in the project quality evaluation process. Due to the limitations of technical tools such as international mainstream CAD systems, manual data collection also plagues the development of the industry.

[0003] Design project evaluation systems based on international mainstream CAD platforms have relatively backward data collection methods, relying on manual reporting and cross-system export. These systems suffer from issues such as non-real-time performance, high error rates, and multi-source heterogeneity. Traditional weighted average methods, such as ISO 9001 quality scoring, are often used to evaluate projects. This assumes that each indicator in a project is independent and cannot reflect the exponential risk brought about by the failure of multiple indicators to work together. Existing evaluation methods cannot correctly assess the drastic changes in project rework rates caused by the combination of review and missing data. Furthermore, traditional weighted average methods use linear weighting, with fixed weights, making them unable to adapt to changes in projects at different stages. This can lead to distorted evaluation of post-service weights during the acceptance phase.

[0004] Therefore, designing a dynamic evaluation system for CAD collaborative design projects based on coupling risk identification that can optimize data collection methods and dynamically adjust evaluation weights according to project stages has become a technical problem that needs to be solved urgently. Summary of the Invention

[0005] In order to solve the above problems, the present invention provides a CAD collaborative design project dynamic evaluation system based on coupling risk identification.

[0006] The technical solution of the present invention is a CAD collaborative design project dynamic evaluation system based on coupling risk identification, which uses the ZWCAD platform to build a three-layer technical architecture, including:

[0007] The adaptation layer uses the underlying API interface of the ZWCAD platform to adapt to the DAMO database and Kylin operating system, and is used to automatically parse design drawings in formats including DWG, DWF, and JPG;

[0008] The data perception layer, based on the interface of the ZWCAD platform, captures design process data in real time, including project stages, review records, and drawing versions;

[0009] The intelligent computing layer obtains the main indicators of the corresponding project stage by acquiring design process data, decomposes the main indicators using a hierarchical shortcoming penalty mechanism, obtains the indicator scores of the sub-indicators, matches the shortcoming penalty factor with a threshold with the indicator score of the sub-indicator, sets the sub-indicator weights and calculates the evaluation scores of each main indicator in a weighted manner; then uses the cross-indicator coupling algorithm to construct a coupling rule library and the main indicator weights, matches the trigger threshold of the coupling rule library with the evaluation score of the main indicator to obtain the corresponding penalty coefficient, and uses the main indicator weight, penalty coefficient and evaluation score to perform a weighted calculation to obtain the total score of the main indicator.

[0010] As a further improvement of the present invention, the main indicators include plan completion, process quality control, external audit, document archiving, other quality issues, contact form status, drawing modification status and post-service satisfaction, and the corresponding main indicator weights are 10%, 30%, 30%, 20%, 10%, 40%, 40% and 20% respectively; the sub-indicator set of the plan completion includes the completion status of the five-step funding and the completion status of the drawing, the sub-indicator set of the process quality control includes the completion status of the project transfer stage review and the total number of funding and drawing review opinions, the sub-indicator set of the external audit includes the total number of strong items and the number of fire safety items, and the sub-indicator set of the document archiving includes the archiving time and archiving completeness.

[0011] As a further improvement of the present invention, the hierarchical short board penalty mechanism decomposes the main indicator into a sub-indicator set, scores the sub-indicators in each sub-indicator set and sets the sub-indicator weight, performs weighted calculation on the evaluation score of the sub-indicator, identifies the short board items in the sub-indicator score by setting the short board threshold, sets the short board penalty factor to impose the short board penalty item on the sub-indicator belonging to the short board item, and calculates the evaluation score of each main indicator of the corresponding sub-indicator set. The calculation formula is:

[0012] ,

[0013] in, represents the score of the kth main indicator, Indicates the number of sub-indicators under the kth main indicator, represents the sub-indicator weight of the j-th sub-indicator under the k-th main indicator, represents the score of the jth sub-indicator under the kth main indicator, It represents the penalty factor of the jth sub-indicator short board under the kth main indicator, Indicates the short board threshold of the j-th sub-indicator under the k-th main indicator.

[0014] As a further improvement of the present invention, the short board penalty factor is divided into a conservative strategy factor and an aggressive strategy factor according to the applicable scenario. The conservative strategy factor is applicable to scenarios where non-critical indicators are allowed to exist, and the value range of the conservative strategy factor is 0.05~0.1. The aggressive strategy factor is applicable to scenarios where key indicators exist, and the value range of the aggressive strategy factor is 0.15~0.2; the key indicators include the completion status of the drawing, the total number of strong items, and the number of fire-fighting items in the sub-indicators.

[0015] As a further improvement of the present invention, the cross-indicator coupling algorithm obtains the evaluation score of the main indicator in the hierarchical short board penalty mechanism, and constructs a coupling rule library and the main indicator weight, and performs weighted calculation on the evaluation score of the main indicator according to the main indicator weight to obtain the total score of the main indicator; the coupling rule library is provided with a number of multi-indicator combination failure rules, each multi-indicator combination failure rule is provided with a penalty coefficient and a trigger threshold corresponding to multiple main indicators. When the evaluation score of the main indicator reaches all the trigger thresholds of the multi-indicator combination failure rule, the penalty coefficients of the triggered multi-indicator combination failure rule are multiplied together as a coupling penalty factor, and the coupling penalty term is applied when calculating the total score. The calculation formula of the total score is: , where S represents the total score of the main indicators, and m represents the number of main indicators. represents the main indicator weight of the kth main indicator, Q represents the number of multi-indicator combination failure rules, Represents the penalty factor for the failure rule of the i-th multi-index combination.

[0016] As a further improvement of the present invention, the multi-indicator combination failure rules include: Rule R1, the corresponding main indicators are external audit status and document archiving status, the trigger threshold is that the evaluation scores of the two main indicators are both lower than 60, and the penalty coefficient is 0.15; Rule R2, the corresponding main indicators are process quality control and drawing modification status, the trigger threshold is that the evaluation score of process quality control is lower than 50, the score of drawing modification is lower than 40, and the penalty coefficient is 0.25.

[0017] After adopting the above method, each main indicator is decomposed into a set of sub-indicators through the hierarchical short board penalty mechanism, and the weighted sum is calculated. When the lowest score of the sub-indicator is lower than the short board threshold, a penalty item is imposed. With the help of the short board threshold, a hierarchical risk warning is realized. The short board penalty factor distinguishes between conservative strategy factors and aggressive strategy factors, and realizes flexible adjustment of the penalty item; the multi-indicator combination failure rule is preset through the cross-indicator coupling algorithm. When the evaluation score of the main indicator reaches the trigger threshold, the multi-coupling penalty factor is used to perform a nonlinear penalty on the total score of the main indicator, realizing multi-dimensional coupling detection, dynamically generating coupling penalty factors, and accurately responding to the situation where the evaluation of multiple main indicators is low. The risk level caused by the coupling of project risks is intense Changes: By combining a layered shortcoming penalty mechanism with a cross-indicator coupling algorithm, the constraints of traditional scoring models are overcome. On the one hand, the linear assumption is broken, and nonlinear risk exposure and dynamic weight calibration are achieved. On the other hand, indicator silos are decoupled, and multiple main indicators of CAD design projects are coupled using multi-indicator combination failure rules to establish a multi-dimensional collaborative failure warning mechanism. Thresholds and rule bases are used to reduce subjective scoring deviations, strengthen fault-tolerant control, and break through the "data silo-manual evaluation-post-correction" path of the traditional scoring model. An integrated evaluation system of "scoring-warning-decision-making" is constructed. This system is used to calculate the total score of the main indicators, and the total score is used as an evaluation result that is more in line with the actual risk situation of the project. DETAILED DESCRIPTION

[0018] The dynamic evaluation system of CAD collaborative design projects based on coupling risk identification uses the ZWCAD platform to build a three-layer technical architecture, including:

[0019] The adaptation layer uses the underlying API interface of the ZWCAD platform to adapt to the DAMO database and Kylin operating system, and is used to automatically parse design drawings in formats including DWG, DWF, and JPG;

[0020] The data perception layer, based on the interface of the ZWCAD platform, captures design process data in real time, including project stages, review records, and drawing versions;

[0021] The intelligent computing layer obtains the main indicators of the corresponding project stage by acquiring design process data, decomposes the main indicators using a hierarchical shortcoming penalty mechanism, obtains the indicator scores of the sub-indicators, matches the shortcoming penalty factor with a threshold with the indicator score of the sub-indicator, sets the sub-indicator weights and calculates the evaluation scores of each main indicator in a weighted manner; then uses the cross-indicator coupling algorithm to construct a coupling rule library and the main indicator weights, matches the trigger threshold of the coupling rule library with the evaluation score of the main indicator to obtain the corresponding penalty coefficient, and uses the main indicator weight, penalty coefficient and evaluation score to perform a weighted calculation to obtain the total score of the main indicator.

[0022] The main indicators include plan completion, process quality control, external audit, document archiving, other quality issues, contact form status, drawing modification status and post-service satisfaction, and the corresponding main indicator weights are 10%, 30%, 30%, 20%, 10%, 40%, 40% and 20% respectively; the sub-indicator set of the plan completion includes the completion of the five-step funding and the completion of the drawing, the sub-indicator set of the process quality control includes the completion of the project transfer stage review and the total number of funding and drawing review opinions, the sub-indicator set of the external audit includes the total number of strong items and the number of fire safety items, and the sub-indicator set of the document archiving includes the archiving time and archiving completeness.

[0023] The hierarchical short board penalty mechanism decomposes the main indicator into a set of sub-indicators, scores the sub-indicators in each sub-indicator set and sets the sub-indicator weight, performs weighted calculation on the evaluation scores of the sub-indicators, identifies the short board items in the sub-indicator scores by setting the short board threshold, sets the short board penalty factor to impose the short board penalty item on the sub-indicators belonging to the short board item, and calculates the evaluation score of each main indicator of the corresponding sub-indicator set. The calculation formula is:

[0024] ,

[0025] in, represents the score of the kth main indicator, Indicates the number of sub-indicators under the kth main indicator, represents the sub-indicator weight of the j-th sub-indicator under the k-th main indicator, represents the score of the jth sub-indicator under the kth main indicator, It represents the penalty factor of the jth sub-indicator short board under the kth main indicator, Indicates the short board threshold of the j-th sub-indicator under the k-th main indicator.

[0026] As a further improvement of the present invention, the short board penalty factor is divided into a conservative strategy factor and an aggressive strategy factor according to the applicable scenario. The conservative strategy factor is applicable to scenarios where non-critical indicators are allowed to exist, and the value range of the conservative strategy factor is 0.05~0.1. The aggressive strategy factor is applicable to scenarios where key indicators exist, and the value range of the aggressive strategy factor is 0.15~0.2; the key indicators include the completion status of the drawing, the total number of strong items, and the number of fire-fighting items in the sub-indicators.

[0027] As a further improvement of the present invention, the cross-indicator coupling algorithm obtains the evaluation score of the main indicator in the hierarchical short board penalty mechanism, and constructs a coupling rule library and the main indicator weight, and performs weighted calculation on the evaluation score of the main indicator according to the main indicator weight to obtain the total score of the main indicator; the coupling rule library is provided with a number of multi-indicator combination failure rules, each multi-indicator combination failure rule is provided with a penalty coefficient and a trigger threshold corresponding to multiple main indicators. When the evaluation score of the main indicator reaches all the trigger thresholds of the multi-indicator combination failure rule, the penalty coefficients of the triggered multi-indicator combination failure rule are multiplied together as a coupling penalty factor, and the coupling penalty term is applied when calculating the total score. The calculation formula of the total score is: , where S represents the total score of the main indicators, and m represents the number of main indicators. represents the main indicator weight of the kth main indicator, Q represents the number of multi-indicator combination failure rules, Represents the penalty factor for the failure rule of the i-th multi-index combination.

[0028] As a further improvement of the present invention, the multi-indicator combination failure rules include: Rule R1, the corresponding main indicators are external audit status and document archiving status, the trigger threshold is that the evaluation scores of the two main indicators are both lower than 60, and the penalty coefficient is 0.15; Rule R2, the corresponding main indicators are process quality control and drawing modification status, the trigger threshold is that the evaluation score of process quality control is lower than 50, the score of drawing modification is lower than 40, and the penalty coefficient is 0.25.

[0029] After adopting the above method, each main indicator is decomposed into a set of sub-indicators through the hierarchical short board penalty mechanism, and the weighted sum is calculated. When the lowest score of the sub-indicator is lower than the short board threshold, a penalty item is imposed. With the help of the short board threshold, a hierarchical risk warning is realized. The short board penalty factor distinguishes between conservative strategy factors and aggressive strategy factors, and realizes flexible adjustment of the penalty item; the multi-indicator combination failure rule is preset through the cross-indicator coupling algorithm. When the evaluation score of the main indicator reaches the trigger threshold, the multi-coupling penalty factor is used to perform a nonlinear penalty on the total score of the main indicator, realizing multi-dimensional coupling detection, dynamically generating coupling penalty factors, and accurately responding to the situation where the evaluation of multiple main indicators is low. The risk level caused by the coupling of project risks is intense Changes: By combining a layered shortcoming penalty mechanism with a cross-indicator coupling algorithm, the constraints of traditional scoring models are overcome. On the one hand, the linear assumption is broken, and nonlinear risk exposure and dynamic weight calibration are achieved. On the other hand, indicator silos are decoupled, and multiple main indicators of CAD design projects are coupled using multi-indicator combination failure rules to establish a multi-dimensional collaborative failure warning mechanism. Thresholds and rule bases are used to reduce subjective scoring deviations, strengthen fault-tolerant control, and break through the "data silo-manual evaluation-post-correction" path of the traditional scoring model. An integrated evaluation system of "scoring-warning-decision-making" is constructed. This system is used to calculate the total score of the main indicators, and the total score is used as an evaluation result that is more in line with the actual risk situation of the project.

Claims

1. A dynamic evaluation system for CAD collaborative design projects based on coupling risk identification, characterized by: Use ZWCAD platform to build a three-tier technical architecture. include, The adaptation layer uses the underlying API interface of the ZWCAD platform to adapt to the DAMO database and Kylin operating system, and is used to automatically parse design drawings in formats including DWG, DWF, and JPG. The data perception layer, based on the interface of the ZWCAD platform, captures design process data in real time, including project stages, review records, and drawing versions. The intelligent computing layer obtains the main indicators of the corresponding project stage by acquiring design process data. It then decomposes the main indicators using a hierarchical shortcoming penalty mechanism to obtain the indicator scores of the sub-indicators. It then matches the indicator scores of the sub-indicators with the shortcoming penalty factors with thresholds, sets the sub-indicator weights, and calculates the evaluation scores of each main indicator in a weighted manner. It then uses a cross-indicator coupling algorithm to construct a coupling rule base and main indicator weights. It then matches the trigger threshold of the coupling rule base with the evaluation score of the main indicator to obtain the corresponding penalty coefficient. The main indicator weight, penalty coefficient, and evaluation score are then used to perform a weighted calculation to obtain the total score of the main indicator. The main indicators include plan completion, process quality control, external audit, document archiving, other quality issues, contact form status, drawing modification status and post-service satisfaction, and the corresponding main indicator weights are 10%, 30%, 30%, 20%, 10%, 40%, 40% and 20% respectively; the sub-indicator set of the plan completion includes the completion of the five-step funding and the completion of the drawing, the sub-indicator set of the process quality control includes the completion of the project transition stage review and the total number of funding and drawing review opinions, the sub-indicator set of the external audit includes the total number of strong items and the number of fire safety items, and the sub-indicator set of the document archiving includes the archiving time and archiving completeness; The cross-indicator coupling algorithm obtains the evaluation score of the main indicator in the hierarchical short board penalty mechanism, and constructs a coupling rule library and the main indicator weight. The evaluation score of the main indicator is weighted according to the main indicator weight to obtain the total score of the main indicator; the coupling rule library is provided with a number of multi-indicator combination failure rules, each multi-indicator combination failure rule is provided with a penalty coefficient and a trigger threshold corresponding to multiple main indicators. When the evaluation score of the main indicator reaches all the trigger thresholds of the multi-indicator combination failure rule, the penalty coefficients of the triggered multi-indicator combination failure rule are multiplied together as a coupling penalty factor, and the coupling penalty term is applied when calculating the total score. The calculation formula of the total score is: Among them, S represents the total score of the main indicators, m represents the number of main indicators, ω k represents the main indicator weight of the kth main indicator, Q represents the number of multi-indicator combination failure rules, λ i represents the penalty factor of the i-th multi-index combination failure rule, s k Represents the score of the kth main indicator.

2. The CAD collaborative design project dynamic evaluation system based on coupling risk identification according to claim 1 is characterized by: The hierarchical short board penalty mechanism decomposes the main indicator into a set of sub-indicators, scores the sub-indicators in each sub-indicator set and sets the sub-indicator weight, performs weighted calculation on the evaluation scores of the sub-indicators, identifies the short board items in the sub-indicator scores by setting the short board threshold, sets the short board penalty factor to impose the short board penalty item on the sub-indicators belonging to the short board item, and calculates the evaluation score of each main indicator of the corresponding sub-indicator set. The calculation formula is: Among them, s k Indicates the score of the kth main indicator, n k Indicates the number of sub-indicators under the kth main indicator, represents the sub-indicator weight of the j-th sub-indicator under the k-th main indicator, represents the score of the jth sub-indicator under the kth main indicator, It represents the penalty factor of the jth sub-indicator short board under the kth main indicator, Indicates the short board threshold of the j-th sub-indicator under the k-th main indicator.

3. The CAD collaborative design project dynamic evaluation system based on coupling risk identification according to claim 2 is characterized by: The short board penalty factor is divided into a conservative strategy factor and an aggressive strategy factor according to the applicable scenario. The conservative strategy factor is applicable to scenarios where non-critical indicators are allowed, and the value range of the conservative strategy factor is 0.05-0.

1. The aggressive strategy factor is applicable to scenarios where critical indicators exist, and the value range of the aggressive strategy factor is 0.15-0.2; the key indicators include the completion status of the drawing, the total number of strong items, and the number of fire emergency items in the sub-indicators.

4. The CAD collaborative design project dynamic evaluation system based on coupling risk identification according to claim 1 is characterized by: The multi-indicator combination failure rules include: Rule R1, the corresponding main indicators are external audit status and document archiving status, the trigger threshold is that the evaluation scores of the two main indicators are both lower than 60, and the penalty coefficient is 0.15; Rule R2, the corresponding main indicators are process quality control and drawing modification status, the trigger threshold is that the evaluation score of process quality control is lower than 50, the score of drawing modification is lower than 40, and the penalty coefficient is 0.25.

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