A harness design intelligent optimization auxiliary method and system

Abstract

This invention discloses an intelligent optimization auxiliary method and system for wiring harness design, relating to the field of wiring harness design technology. First, it collects and analyzes the matching status data of various wiring harness connectors during the prototype manufacturing and testing phase of new energy vehicle wiring harness design to generate a connector matching anomaly index zjp. Then, it issues a path analysis command to collect and extract features from the wiring harness path status information. Simultaneously, it introduces the connector matching anomaly index zjp to fit a wiring harness path evaluation index zyx, which is then compared and analyzed. An optimization design command is then issued to generate a standard optimization scheme for the wiring harness path. The wiring harness path is standardized and adjusted according to this standard optimization scheme. Next, it tests and analyzes the wiring harness power-on status information after the standardized adjustment, fitting and comparing the integration degree index zxn obtained under the wiring harness power-on state with a pre-set integration degree threshold P to obtain the corresponding optimization effect level signal and provide feedback.

Description

Technical Field

[0001] This invention relates to the field of wire harness design technology, specifically to an intelligent optimization and auxiliary method and system for wire harness design. Background Technology

[0002] With the continuous development of modern industrial technology, wire harness design is becoming increasingly important in the manufacturing of various equipment. As a key channel connecting various electrical components, the rationality of wire harness design is directly related to the reliability and stability of the system. Especially in the field of new energy vehicles, wire harness design faces higher requirements. New energy vehicles integrate a large number of electronic devices, and wire harnesses not only need to meet complex electrical requirements, but also need to achieve efficient layout in a limited space while ensuring safety and reliability.

[0003] However, the prototype manufacturing and testing stage of wiring harness design for new energy vehicles, as an important part of wiring harness design, still has many shortcomings. First, the evaluation of wiring harness path layout relies on human experience and manual analysis, which is inefficient and inaccurate. Second, the existing optimization design and optimization effect are difficult to fully utilize data-driven and machine learning technologies for verification, resulting in limited optimization effect of wiring harness design. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent optimization and auxiliary method and system for wire harness design, which solves the problems mentioned in the background.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a wire harness design intelligent optimization auxiliary system, comprising a wire harness matching pre-analysis module, a wire harness path analysis module, an optimization design module, an optimization testing module, and an optimization auxiliary feedback module;

[0006] The wiring harness matching pre-analysis module is used to collect and analyze the matching status data of each wiring harness connector during the prototype manufacturing and testing phase of new energy vehicle wiring harness design, so as to generate a connector matching anomaly index zjp and issue a path analysis command.

[0007] The wiring harness path analysis module, based on the received path analysis command, is used to collect and extract the wiring harness path status information of the new energy vehicle wiring harness design. At the same time, it introduces the connector matching anomaly index zjp, and through deep machine learning calculation, fits the wiring harness path evaluation index zyx, and compares and analyzes it. Based on the comparison results, it determines whether to issue an optimization design command.

[0008] The optimization design module generates a standard optimization scheme for the wire harness path based on the received optimization design instructions, and performs standardized adjustments to the wire harness path according to the standard optimization scheme.

[0009] The optimization test module, based on the standard optimization scheme for wire harness paths, tests and analyzes the power-on state information of the wire harness after the wire harness path has been standardized and adjusted, and obtains the integration index zxn of the wire harness under the power-on state.

[0010] The optimization auxiliary feedback module is used to compare and analyze the integration index zxn with the pre-set integration threshold P, obtain the corresponding optimization effect level signal, and provide feedback.

[0011] Preferably, the harness matching pre-analysis module includes a connector status acquisition unit and a status analysis unit;

[0012] The connector status acquisition unit is used to collect the matching status data of each wire harness connector during the prototype manufacturing and testing phase of the new energy vehicle wiring harness design, and to fit and obtain the wire harness connector information dataset. The wire harness connector information dataset includes the average deviation value of connector temperature tsj, the average deviation value of connector current isj, and the average deviation value of connector resistance rsj.

[0013] Preferably, the status analysis unit is used to analyze the wire harness connector information dataset to generate a connector matching anomaly index zjp, and issue a path analysis command. The connector matching anomaly index zjp is calculated using the following formula.

[0014]

[0015] In the formula, tsj represents the average deviation value of the joint temperature, isj represents the average deviation value of the joint current, and rsj represents the average deviation value of the joint resistance. Among them, k1, k2 and k3 represent the weight values ​​of the average deviation value of the joint temperature tsj, the average deviation value of the joint current isj and the average deviation value of the joint resistance rsj, respectively, and A represents the first correction constant.

[0016] Preferably, the harness path analysis module includes a harness status acquisition unit, a path analysis unit, and a harness path determination unit;

[0017] The wiring harness status acquisition unit, based on the received path analysis command, is used to collect and extract the wiring harness path status information of the new energy vehicle wiring harness design to obtain a wiring harness path status dataset. The wiring harness path status dataset includes the wiring harness length value rcd, the actual contact distance value ljs, and the number of bending points swq in all wiring harness paths.

[0018] Preferably, the path analysis unit is used to analyze the harness path status dataset and introduces a connector matching anomaly index zjp to obtain a harness path evaluation index zyx, which is obtained by the following formula.

[0019]

[0020] In the formula, rcd j Represented as the length value of the j-th bundle, rc j Represented as the length values ​​of the straight lines at both ends of the j-th wire bundle. Represented as the total redundant length of the harness, ljs j Let ls represent the actual contact distance value of the j-th wire harness. j This is represented as the safe contact distance value for the j-th wire harness. Represented as the total offset of the harness contact distance, swq j This represents the number of bending points in the j-th wire harness. This represents the total number of bending points in the harness, where j = 1, 2, 3, ..., m, m represents the harness number, a1, a2, a3, and a4 all represent weight values, and B represents the second correction constant.

[0021] Preferably, the wiring harness path determination unit is used to compare and analyze the wiring harness path evaluation index zyx with the evaluation threshold A in order to comprehensively determine the reasonable layout of the wiring harness path in the new energy vehicle wiring harness design.

[0022] If the wire harness path evaluation index zyx ≥ the evaluation threshold A, it indicates that the wire harness path layout of the current wire harness design is in an unreasonable state, and an optimization design instruction is issued.

[0023] If the wire harness path evaluation index zyx < the evaluation threshold A, it indicates that the wire harness path layout of the current wire harness design is in a reasonable state. No additional optimization design instructions will be issued, and the wire harness designer will be notified that the wire harness path layout of the current wire harness design is in a reasonable state and the path layout is stable. Please continue to advance the subsequent design and manufacturing process.

[0024] Preferably, the optimization design module is used to receive optimization design instructions, generate and execute a standard optimization scheme for the wire harness path according to the optimization design instructions, and the execution content of the standard optimization scheme for the wire harness path includes: wire harness connector matching optimization standard, wire harness path length optimization standard, wire harness safety spacing optimization standard, and wire harness bending point optimization standard;

[0025] The wire harness connector matching optimization standard optimizes the standards for checking and testing connector matching status, and for applying connector identification and pairing verification technologies; the wire harness path length optimization standard optimizes the standards for designing layouts based on the shortest path principle and evaluating wire harness path lengths; the wire harness safety spacing optimization standard optimizes the standards for reasonable and safe contact distances between wire harnesses; and the wire harness bending point optimization standard optimizes the standards for selecting wire harness bending locations and the number of bending points.

[0026] Preferably, the optimized testing module includes a wire harness test information acquisition unit and an integration degree analysis unit;

[0027] The wiring harness test information acquisition unit is based on the wiring harness path standard optimization scheme and is used to collect the wiring harness power-on status information after the wiring harness path is optimized according to the standard scheme, so as to obtain the wiring harness test dataset. The wiring harness test dataset includes the total power consumption value wsh of the wiring harness connection and the total number of interfaces wsz.

[0028] The integration analysis unit is used to analyze the wire harness test dataset and, after dimensionless processing, obtain the integration index zxn. The integration index zxn is obtained by the following formula.

[0029]

[0030] In the formula, wsh represents the total power consumption of the wiring harness connection, wsz represents the total number of interfaces, and b1 and b2 represent the weight values ​​of the total power consumption of the wiring harness connection wsh and the total number of interfaces wsz.

[0031] Preferably, the optimization auxiliary feedback module includes an integration degree determination unit and a feedback unit;

[0032] The integration degree determination unit is used to compare the integration degree index zxn with the preset integration degree threshold P to obtain the corresponding optimization effect level, as detailed below;

[0033] If the integration index zxn ≥ the integration threshold P, it indicates that the optimization effect test after the current optimization standard scheme for the wire harness path is determined to be in a pass state, and a first optimization effect level signal is generated.

[0034] If the integration index zxn < the integration threshold P, it indicates that the optimization effect test after adjusting the current optimization standard scheme for the wire harness path is judged as failing, and a second optimization effect level signal is generated.

[0035] The feedback unit is used to receive the first optimization effect level signal and the second optimization effect level signal, and to issue and execute corresponding feedback instructions, the specific contents of which are as follows;

[0036] Upon receiving the first optimization effect level signal, the first feedback instruction is generated and executed. The execution content is to confirm that the current harness path design and optimization scheme has achieved the expected effect and no further adjustments are needed. The designer is then notified that the current optimization scheme has passed the test, the harness path design is stable, and the subsequent design and manufacturing processes should continue.

[0037] Upon receiving the second optimization effect level signal, a second feedback instruction is generated and executed. The instruction confirms that the current harness path design and optimization scheme have not achieved the expected results and need to be re-evaluated and further optimized. The harness designer is then notified that the current optimization scheme has not passed the test and that the harness path design should be reviewed and optimized again to ensure that the expected design requirements are met.

[0038] Preferably, a method for intelligent optimization assistance in wire harness design includes the following steps;

[0039] Step 1: First, collect and analyze the matching status data of each wire harness connector during the prototype manufacturing and testing phase of the new energy vehicle wiring harness design to generate the connector matching anomaly index zjp and issue path analysis instructions.

[0040] Step 2: Based on the received path analysis instructions, the wiring harness path status information of the new energy vehicle wiring harness design is collected and features are extracted. At the same time, the connector matching anomaly index zjp is introduced. Through deep machine learning calculation, the wiring harness path evaluation index zyx is fitted and compared and analyzed. Based on the comparison results, it is determined whether to issue an optimization design instruction.

[0041] Step 3: Next, based on the received optimization design instructions, generate a standard optimization scheme for the wire harness path, and perform standardized adjustments to the wire harness path according to the standard optimization scheme.

[0042] Step 4: In addition, based on the standard optimization scheme for wire harness paths, the power-on state information of the wire harness after the standardization adjustment of the wire harness path is tested and analyzed, and the integration index zxn of the wire harness under the power-on state is obtained by fitting.

[0043] Step 5: Finally, compare and analyze the integration index zxn with the preset integration threshold P to obtain the corresponding optimization effect level signal and provide feedback.

[0044] This invention provides an intelligent optimization assistance method and system for wire harness design, which has the following beneficial effects:

[0045] (1) By integrating pre-analysis of wire harness matching, path analysis, optimization design, optimization testing and optimization auxiliary feedback modules, intelligent management of the entire life cycle of wire harness design is realized. First, by using advanced data acquisition and analysis technology, comprehensive monitoring and evaluation are carried out on all aspects from wire harness connector matching status to wire harness path layout, eliminating the inefficiency and inaccuracy caused by traditional manual evaluation. Through deep machine learning technology, the optimized wire harness path evaluation index zyx is obtained by fitting, ensuring the rationality and matching degree of the design, thereby effectively improving the safety and reliability of the wire harness. Second, standardized optimization schemes are generated according to real-time optimization instructions, and the wire harness path is automatically adjusted, eliminating potential defects and errors in manual design. This process further shortens the design cycle and improves design efficiency. The optimization testing module further ensures the actual effect of the optimization scheme. By testing the wire harness power-on state, the optimization effect is quantitatively evaluated and feedback is provided, and the design is rapidly iterated and improved. This data-driven and closed-loop feedback optimization process not only ensures the effectiveness of each design adjustment, but also improves the performance and stability of the overall system of new energy vehicles, thereby promoting the technological progress of new energy vehicle wire harness design in terms of high reliability and high safety.

[0046] (2) By collecting and analyzing data on the state of the wire harness path during the prototype manufacturing and testing phase, a wire harness path evaluation index zyx is generated. Using deep machine learning algorithms, these indicators can quantify the rationality and matching status of the wire harness path, thereby quickly identifying potential problems, improving the accuracy and reliability of wire harness design, avoiding deviations and errors caused by human experience, and significantly improving the efficiency and quality of wire harness design.

[0047] (3) Generate a standardized wire harness path optimization scheme according to the optimization design instructions, and make comprehensive adjustments to the wire harness path. The optimization test module tests and analyzes the power-on state of the standardized adjusted wire harness to obtain the integration index zxn, and compares it with the preset integration threshold P. In this way, through the data-driven method, the system can dynamically evaluate and verify the optimization effect, generate the corresponding optimization effect level signal, and provide timely feedback, ensuring that the effect of each optimization adjustment is measurable and verifiable, and finally achieve the optimal layout and reliability of the wire harness design. Attached Figure Description

[0048] Figure 1 This is a block diagram of a wire harness design intelligent optimization auxiliary system according to the present invention;

[0049] Figure 2 This is a schematic diagram of the intelligent optimization and auxiliary method for wire harness design according to the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Example 1

[0052] Please see Figure 1 The present invention provides an intelligent optimization auxiliary system for wire harness design, including a wire harness matching pre-analysis module, a wire harness path analysis module, an optimization design module, an optimization testing module, and an optimization auxiliary feedback module;

[0053] The wiring harness matching pre-analysis module is used to collect and analyze the matching status data of each wiring harness connector during the prototype manufacturing and testing phase of new energy vehicle wiring harness design, so as to generate a connector matching anomaly index zjp and issue a path analysis command.

[0054] The wiring harness path analysis module, based on the received path analysis command, is used to collect and extract the wiring harness path status information of the new energy vehicle wiring harness design. At the same time, it introduces the connector matching anomaly index zjp, and through deep machine learning calculation, fits the wiring harness path evaluation index zyx, and compares and analyzes it. Based on the comparison results, it determines whether to issue an optimization design command.

[0055] The optimization design module generates a standard optimization scheme for the wire harness path based on the received optimization design instructions, and performs standardized adjustments to the wire harness path according to the standard optimization scheme.

[0056] The optimization test module, based on the standard optimization scheme for wire harness paths, tests and analyzes the power-on state information of the wire harness after the wire harness path has been standardized and adjusted, and obtains the integration index zxn of the wire harness under the power-on state.

[0057] The optimization auxiliary feedback module is used to compare and analyze the integration index zxn with the pre-set integration threshold P, obtain the corresponding optimization effect level signal, and provide feedback.

[0058] In this embodiment, by integrating multiple modules such as harness matching determination, path analysis, optimization design, optimization testing, and optimization auxiliary feedback, the system can achieve efficient status information acquisition and analysis during the prototype manufacturing and testing phase of new energy vehicle harness design. The system utilizes deep machine learning technology to generate a harness path evaluation index zyx to ensure the rationality of the path design, and optimizes the harness path layout through standardized adjustments. The optimization testing module further obtains the integration degree index zxn through power-on status information testing. The feedback module generates optimization effect level signals in real time through comparative analysis with preset thresholds, providing designers with timely and accurate feedback. This system significantly improves the accuracy, reliability, and overall performance of harness design, ensures the standardization and efficiency of the optimization process, and realizes comprehensive optimization and intelligent management of new energy vehicle harness design.

[0059] Example 2

[0060] Please refer to Figure 1 Specifically: the wire harness matching pre-analysis module includes a connector status acquisition unit and a status analysis unit;

[0061] The connector status acquisition unit is used to collect the matching status data of each wire harness connector during the prototype manufacturing and testing phase of the new energy vehicle wiring harness design, and to fit and obtain a wire harness connector information dataset. The wire harness connector information dataset includes the average deviation value of connector temperature tsj, the average deviation value of connector current isj, and the average deviation value of connector resistance rsj.

[0062] The average temperature deviation value tsj of the connector is an important parameter for measuring the matching status of the wire harness connector, because an excessively high connector temperature indicates an overload problem, which can lead to failure. The normal connector temperature should be within the designed operating temperature range. When it deviates from this range, it indicates a mismatch problem. The average temperature deviation value tsj of the connector is obtained by fitting the temperature parameters of each wire harness connector through deployed temperature sensors. Specifically, it is obtained by the following formula.

[0063]

[0064] In the formula, tsc i Let ts represent the actual temperature value of the i-th wire harness connector. i This represents the normal temperature value of the i-th wire harness connector, where i = 1, 2, 3, ..., n, and n represents the wire harness connector number.

[0065] The average current deviation value isj of the connector reflects the overload situation of the actual current passing through the connector. The connector is designed with its rated current. When the current deviation of the connector increases, it indicates that the connector is not properly matched to the expected electrical load. This is caused by the wiring harness design error. The current deviation is an important indicator for evaluating the matching status of the connector. The average current deviation value isj of the connector is obtained by fitting the current parameters of each wiring harness connector through deployed current sensors. Specifically, it is obtained by the following formula.

[0066]

[0067] In the formula, isc i Is represents the actual current value of the i-th wire harness connector. i This represents the rated current value of the i-th wire harness connector, where i = 1, 2, 3, ..., n, and n represents the wire harness connector number.

[0068] The average deviation value rsj of the connector resistance is a key parameter for measuring the matching status of the wire harness connector. When the connector resistance is too high, it indicates that the connector and interface are connected incorrectly, which affects the normal operation of the wire harness. By monitoring the connector resistance, it is possible to effectively assess whether the connector matches the design requirements. The average deviation value rsj of the connector resistance is obtained by fitting the resistance parameters of each wire harness connector through deployed resistance sensors. Specifically, it is obtained through the following formula.

[0069]

[0070] In the formula, rsc i Let rs represent the actual current value of the i-th wire harness connector. i This represents the rated current value of the i-th wire harness connector, where i = 1, 2, 3, ..., n, and n represents the wire harness connector number.

[0071] Specifically, the status analysis unit is used to analyze the wire harness connector information dataset to generate a connector matching anomaly index zjp, and issue a path analysis command. The connector matching anomaly index zjp is calculated using the following formula.

[0072]

[0073] In the formula, tsj represents the average deviation value of the joint temperature, isj represents the average deviation value of the joint current, and rsj represents the average deviation value of the joint resistance. Among them, k1, k2 and k3 represent the weight values ​​of the average deviation value of the joint temperature tsj, the average deviation value of the joint current isj and the average deviation value of the joint resistance rsj, respectively, and A represents the first correction constant.

[0074] In this embodiment, by integrating the connector status acquisition unit and the status analysis unit, efficient acquisition and analysis of connector matching status information can be achieved during the prototype manufacturing and testing phase of new energy vehicle wiring harness design. The system monitors the average deviation values ​​of connector temperature, connector current, and connector resistance, and uses deep machine learning calculation and feature extraction to generate a connector matching anomaly index zjp and issue path analysis commands. The system determines the matching accuracy of wiring harness connectors in the wiring harness design, providing reliable parameter basis for subsequent comprehensive analysis of wiring harness paths.

[0075] Example 3

[0076] Please refer to Figure 1 Specifically: the harness path analysis module includes a harness status acquisition unit, a path analysis unit, and a harness path determination unit;

[0077] The wiring harness status acquisition unit, based on the received path analysis command, is used to collect and extract the wiring harness path status information of the new energy vehicle wiring harness design to obtain a wiring harness path status dataset. The wiring harness path status dataset includes the wiring harness length value rcd, the actual contact distance value ljs, and the number of bending points swq in all wiring harness paths.

[0078] Specifically, the path analysis unit is used to analyze the harness path status dataset and introduces the connector matching anomaly index zjp to obtain the harness path evaluation index zyx, which is obtained by the following formula.

[0079]

[0080] In the formula, rcd j Represented as the length value of the j-th bundle, rc j Represented as the length values ​​of the straight lines at both ends of the j-th wire bundle. Represented as the total redundant length of the harness, table ljs j The value shown is the actual contact distance of the j-th wire harness, ls. j This is represented as the safe contact distance value for the j-th wire harness. Represented as the total offset of the harness contact distance, swq j This represents the number of bending points in the j-th wire harness. This represents the total number of bending points in the harness, where j = 1, 2, 3, ..., m, m represents the harness number, a1, a2, a3, and a4 all represent weight values, and B represents the second correction constant.

[0081] It should be noted that the harness length value rcd is obtained through a deployed distance sensor; specifically, it refers to the actual length of the harness.

[0082] The straight length value rc at both ends of the harness refers to the shortest straight distance between the connection points at both ends of the harness under ideal conditions. This value is usually used to measure the ideal shortest arrangement path of the harness.

[0083] The total redundant length of the harness refers to the sum of the differences between the actual length of the harness and the lengths of the straight lines at its two ends. It reflects the redundancy and complexity of the harness in actual layout. A large redundant length indicates that the harness path design is not optimized and there are unnecessary detours and lengths.

[0084] The actual contact distance value ljs of the wire harness is obtained by the deployed distance sensor. Specifically, the actual contact distance value ljs of the wire harness refers to the distance between the nearest contact point of the wire harness and the structural surface in the actual arrangement. It is used to evaluate the spacing of the wire harness in the actual arrangement process to ensure that it does not have poor contact and friction with other components.

[0085] The safe contact distance value for the wire harness refers to the minimum distance required to ensure a safe distance between the wire harness and other structural surfaces during the wire harness arrangement process. This distance is usually determined according to industry standards, manufacturer specifications, and design requirements.

[0086] The total deviation of the wire harness contact distance refers to the sum of the deviations between the actual contact distance values ​​of all wire harnesses and their safety standard distance values, which is used to measure the rationality and safety of the wire harness arrangement.

[0087] The number of bending points (swq) of the wire harness is obtained through a visual sensor. Specifically, it refers to the total number of bending locations of the wire harness in the actual layout. Each bending point represents a change in direction of the wire harness and is used to assess the path complexity, laying difficulty, and mechanical stress concentration points of the wire harness.

[0088] Specifically, the wiring harness path determination unit is used to compare and analyze the wiring harness path evaluation index zyx with the evaluation threshold A in order to comprehensively determine the reasonable layout of the wiring harness path in the design of new energy vehicle wiring harnesses.

[0089] If the wire harness path evaluation index zyx ≥ the evaluation threshold A, it indicates that the wire harness path layout of the current wire harness design is in an unreasonable state, and an optimization design instruction is issued.

[0090] If the wire harness path evaluation index zyx < the evaluation threshold A, it indicates that the wire harness path layout of the current wire harness design is in a reasonable state. No additional optimization design instructions will be issued, and the wire harness designer will be notified that the wire harness path layout of the current wire harness design is in a reasonable state and the path layout is stable. Please continue to advance the subsequent design and manufacturing process.

[0091] In this embodiment, through the integrated operation of the harness status acquisition unit, path analysis unit, and harness path determination unit, efficient acquisition, feature extraction, and evaluation analysis of harness path status information for new energy vehicles are achieved. The system utilizes the harness path evaluation index zyx to further determine the harness path, ensuring the rationality and safety of the design. By optimizing the generation and implementation of design instructions, the harness path is standardized and adjusted, optimizing the redundancy and path complexity of the harness, reducing the actual length of the harness and unnecessary detours, and improving the safety and reliability of the layout. Finally, the system can provide real-time feedback based on the evaluation results, guiding designers to advance subsequent design and manufacturing processes based on a reasonable path layout, thereby improving the efficiency and quality of harness design.

[0092] Example 4

[0093] Please refer to Figure 1 Specifically: the optimization design module is used to receive optimization design instructions, generate and execute a standard optimization scheme for the wire harness path according to the optimization design instructions, and the execution content of the standard optimization scheme for the wire harness path includes: wire harness connector matching optimization standard, wire harness path length optimization standard, wire harness safety spacing optimization standard, and wire harness bending point optimization standard;

[0094] The wire harness connector matching optimization standard optimizes the standards for checking and testing connector matching status, and for applying connector identification and pairing verification technologies; the wire harness path length optimization standard optimizes the standards for designing layouts based on the shortest path principle and evaluating wire harness path lengths; the wire harness safety spacing optimization standard optimizes the standards for reasonable and safe contact distances between wire harnesses; and the wire harness bending point optimization standard optimizes the standards for selecting wire harness bending locations and the number of bending points.

[0095] In this embodiment, the optimization design module receives optimization design instructions, generates and executes a wiring harness path standard optimization scheme, including wiring harness connector matching optimization standards, wiring harness path length optimization standards, wiring harness safety spacing optimization standards, and wiring harness bending point optimization standards. This achieves comprehensive optimization of the wiring harness design for new energy vehicles. Through connector identification and pairing verification technology, the accuracy and reliability of connector matching are improved; the application of the shortest path principle reduces the length of the wiring harness path, thereby reducing the material cost and weight of the wiring harness; through reasonable wiring harness spacing design, the electrical performance and stability of the wiring harness are improved; and through optimization of the selection of wiring harness bending positions and the number of bending points, the mechanical stress and fatigue of the wiring harness are reduced, improving the durability and safety of the wiring harness. Overall, this system significantly improves the efficiency and quality of wiring harness design, ensuring the rationality and reliability of the wiring harness layout for new energy vehicles.

[0096] Example 5

[0097] Please refer to Figure 1 Specifically: the optimized testing module includes a wire harness test information acquisition unit and an integration degree analysis unit;

[0098] The wiring harness test information acquisition unit is based on the wiring harness path standard optimization scheme and is used to collect the wiring harness power-on status information after the wiring harness path is optimized according to the standard scheme, so as to obtain the wiring harness test dataset. The wiring harness test dataset includes the total power consumption value wsh of the wiring harness connection and the total number of interfaces wsz.

[0099] The total power consumption value wsh of the wire harness connection refers to the total power loss of the wire harness during the test transmission process. The total power consumption value wsh of the wire harness connection is obtained by the following formula;

[0100]

[0101] In the formula, vr j Let vc be the test input voltage value of the j-th wire harness. j Let ics represent the test output voltage value of the j-th wire harness. j This represents the test current value of the j-th wire harness, where j = 1, 2, 3, ..., m, and m represents the wire harness number.

[0102] It should be noted that the test input voltage value vr and the test output voltage value vc are both obtained by voltage sensors, the test current value ics is obtained by current sensors, and the total number of interfaces wsz is obtained by vision sensors.

[0103] The integration analysis unit is used to analyze the wire harness test dataset and, after dimensionless processing, obtain the integration index zxn. The integration index zxn is obtained by the following formula.

[0104]

[0105] In the formula, wsh represents the total power consumption of the wiring harness connection, wsz represents the total number of interfaces, and b1 and b2 represent the weight values ​​of the total power consumption of the wiring harness connection wsh and the total number of interfaces wsz.

[0106] Specifically, the optimization auxiliary feedback module includes an integration degree determination unit and a feedback unit;

[0107] The integration degree determination unit is used to compare the integration degree index zxn with the preset integration degree threshold P to obtain the corresponding optimization effect level, as detailed below;

[0108] If the integration index zxn ≥ the integration threshold P, it indicates that the optimization effect test after the current optimization standard scheme for the wire harness path is determined to be in a pass state, and a first optimization effect level signal is generated.

[0109] If the integration index zxn < the integration threshold P, it indicates that the optimization effect test after adjusting the current optimization standard scheme for the wire harness path is judged as failing, and a second optimization effect level signal is generated.

[0110] The feedback unit is used to receive the first optimization effect level signal and the second optimization effect level signal, and to issue and execute corresponding feedback instructions, the specific contents of which are as follows;

[0111] Upon receiving the first optimization effect level signal, the first feedback instruction is generated and executed. The execution content is to confirm that the current harness path design and optimization scheme has achieved the expected effect and no further adjustments are needed. The designer is then notified that the current optimization scheme has passed the test, the harness path design is stable, and the subsequent design and manufacturing processes should continue.

[0112] Upon receiving the second optimization effect level signal, a second feedback instruction is generated and executed. The instruction confirms that the current harness path design and optimization scheme have not achieved the expected results and need to be re-evaluated and further optimized. The harness designer is then notified that the current optimization scheme has not passed the test and that the harness path design should be reviewed and optimized again to ensure that the expected design requirements are met.

[0113] In this embodiment, the power-on status information of the wiring harness after executing the optimized standard scheme is collected and analyzed by the optimization test module to obtain the wiring harness test dataset. The integration index zxn is calculated through dimensionless processing. The system can accurately evaluate the total power consumption value wsh of the wiring harness connection and the total number of interfaces wsz. The integration degree judgment unit compares zxn with the preset integration degree threshold P and automatically generates an optimization effect level signal. When the integration degree index reaches or exceeds the threshold, the system generates a pass status feedback signal to confirm that the optimization scheme has achieved the expected effect. If the threshold is not reached, the system generates a fail status feedback signal to re-evaluate and optimize the wiring harness path design. Through the testing and feedback mechanism, this system significantly improves the reliability and efficiency of the wiring harness design.

[0114] Example 6

[0115] Please refer to Figure 1 and Figure 2 Specifically: A method for intelligent optimization and assistance in wire harness design, comprising the following steps;

[0116] Step 1: First, collect and analyze the matching status data of each wire harness connector during the prototype manufacturing and testing phase of the new energy vehicle wiring harness design to generate the connector matching anomaly index zjp and issue path analysis instructions.

[0117] Step 2: Based on the received path analysis instructions, the wiring harness path status information of the new energy vehicle wiring harness design is collected and features are extracted. At the same time, the connector matching anomaly index zjp is introduced. Through deep machine learning calculation, the wiring harness path evaluation index zyx is fitted and compared and analyzed. Based on the comparison results, it is determined whether to issue an optimization design instruction.

[0118] Step 3: Next, based on the received optimization design instructions, generate a standard optimization scheme for the wire harness path, and perform standardized adjustments to the wire harness path according to the standard optimization scheme.

[0119] Step 4: In addition, based on the standard optimization scheme for wire harness paths, the power-on state information of the wire harness after the standardization adjustment of the wire harness path is tested and analyzed, and the integration index zxn of the wire harness under the power-on state is obtained by fitting.

[0120] Step 5: Finally, compare and analyze the integration index zxn with the preset integration threshold P to obtain the corresponding optimization effect level signal and provide feedback.

[0121] In this embodiment, the following steps are employed: First, data on the matching status of new energy vehicle wiring harness connectors is collected and analyzed to generate a connector matching anomaly index zjp and issue a path analysis command. Second, features are extracted from the wiring harness path status information and combined with zjp. A wiring harness path evaluation index zyx is calculated and fitted using deep machine learning to determine whether an optimization design command should be issued. Next, a standard optimization scheme for the wiring harness path is generated and the path is standardized and adjusted. Furthermore, the power-on status information of the adjusted wiring harness is tested and analyzed to obtain an integration index zxn. Finally, zxn is compared and analyzed with an integration threshold P to obtain and feedback the corresponding optimization effect level signal. This method, through comprehensive data collection, deep machine learning analysis, and standardized optimization adjustments, significantly improves the accuracy and reliability of wiring harness design, ensures the optimization and stability of the wiring harness path, and enhances the overall optimization assistance effect of new energy vehicle wiring harness design.

[0122] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A wire harness design intelligent optimization auxiliary system, characterized in that: It includes a harness matching pre-analysis module, a harness path analysis module, an optimization design module, an optimization testing module, and an optimization auxiliary feedback module; The wire harness matching pre-analysis module includes a connector status acquisition unit and a status analysis unit; The connector status acquisition unit is used to collect the matching status data of each wire harness connector during the prototype manufacturing and testing phase of the new energy vehicle wiring harness design, and to fit and obtain the wire harness connector information dataset. The wire harness connector information dataset includes the average deviation value of connector temperature tsj, the average deviation value of connector current isj, and the average deviation value of connector resistance rsj. The status analysis unit is used to analyze the wire harness connector information dataset to generate a connector matching anomaly index zjp, and issue a path analysis command. The connector matching anomaly index zjp is calculated using the following formula. In the formula, tsj represents the average deviation value of the joint temperature, isj represents the average deviation value of the joint current, and rsj represents the average deviation value of the joint resistance. Among them, k1, k2 and k3 represent the weight values ​​of the average deviation value of the joint temperature tsj, the average deviation value of the joint current isj and the average deviation value of the joint resistance rsj, respectively, and A represents the first correction constant. The wiring harness path analysis module, based on the received path analysis command, is used to collect and extract the wiring harness path status information of the new energy vehicle wiring harness design. At the same time, it introduces the connector matching anomaly index zjp, and through deep machine learning calculation, fits the wiring harness path evaluation index zyx, and compares and analyzes it. Based on the comparison results, it determines whether to issue an optimization design command. The optimization design module generates a standard optimization scheme for the wire harness path based on the received optimization design instructions, and performs standardized adjustments to the wire harness path according to the standard optimization scheme. The optimized testing module includes a wire harness test information acquisition unit and an integration degree analysis unit; The wiring harness test information acquisition unit is based on the wiring harness path standard optimization scheme and is used to collect the wiring harness power-on status information after the wiring harness path is optimized according to the standard scheme, so as to obtain the wiring harness test dataset. The wiring harness test dataset includes the total power consumption value wsh of the wiring harness connection and the total number of interfaces wsz. The integration analysis unit is used to analyze the wire harness test dataset and, after dimensionless processing, obtain the integration index zxn. The integration index zxn is obtained by the following formula. In the formula, wsh represents the total power consumption of the wiring harness connection, wsz represents the total number of interfaces, and b1 and b2 represent the weight values ​​of the total power consumption of the wiring harness connection wsh and the total number of interfaces wsz. The optimization auxiliary feedback module is used to compare and analyze the integration index zxn with the pre-set integration threshold P, obtain the corresponding optimization effect level signal, and provide feedback.

2. The intelligent optimization auxiliary system for wire harness design according to claim 1, characterized in that: The harness path analysis module includes a harness status acquisition unit, a path analysis unit, and a harness path determination unit. The wiring harness status acquisition unit, based on the received path analysis command, is used to collect and extract the wiring harness path status information of the new energy vehicle wiring harness design to obtain a wiring harness path status dataset. The wiring harness path status dataset includes the wiring harness length value rcd, the actual contact distance value ljs, and the number of bending points swq in all wiring harness paths.

3. The intelligent optimization auxiliary system for wire harness design according to claim 2, characterized in that: The path analysis unit is used to analyze the harness path status dataset and introduces the connector matching anomaly index zjp to obtain the harness path evaluation index zyx. The harness path evaluation index zyx is obtained by the following formula. In the formula, rcd j Represented as the length value of the j-th bundle, rc j Represented as the length values ​​of the straight lines at both ends of the j-th wire bundle. Represented as the total redundant length of the harness, ljs j Let ls represent the actual contact distance value of the j-th wire harness. j This is represented as the safe contact distance value for the j-th wire harness. Represented as the total offset of the harness contact distance, swq j This represents the number of bending points in the j-th wire harness. This represents the total number of bending points in the harness, where j = 1, 2, 3, ..., m, m represents the harness number, a1, a2, a3, and a4 all represent weight values, and B represents the second correction constant.

4. The intelligent optimization auxiliary system for wire harness design according to claim 2, characterized in that: The wiring harness path determination unit is used to compare and analyze the wiring harness path evaluation index zyx with the evaluation threshold A in order to comprehensively determine the reasonable layout of the wiring harness path in the wiring harness design of new energy vehicles. If the wire harness path evaluation index zyx ≥ the evaluation threshold A, it indicates that the wire harness path layout of the current wire harness design is in an unreasonable state, and an optimization design instruction is issued. If the wire harness path evaluation index zyx < the evaluation threshold A, it indicates that the wire harness path layout of the current wire harness design is in a reasonable state. No additional optimization design instructions will be issued, and the wire harness designer will be notified that the wire harness path layout of the current wire harness design is in a reasonable state and the path layout is stable. Please continue to advance the subsequent design and manufacturing process.

5. The intelligent optimization auxiliary system for wire harness design according to claim 1, characterized in that: The optimization design module is used to receive optimization design instructions, generate and execute standard optimization schemes for wire harness paths according to the optimization design instructions. The execution content of the standard optimization scheme for wire harness paths includes: optimization standards for wire harness connector matching, optimization standards for wire harness path length, optimization standards for wire harness safety spacing, and optimization standards for wire harness bending points. The wire harness connector matching optimization standard optimizes the standards for checking and testing connector matching status, and for applying connector identification and pairing verification technologies; the wire harness path length optimization standard optimizes the standards for designing layouts based on the shortest path principle and evaluating wire harness path lengths; the wire harness safety spacing optimization standard optimizes the standards for reasonable and safe contact distances between wire harnesses; and the wire harness bending point optimization standard optimizes the standards for selecting wire harness bending locations and the number of bending points.

6. The intelligent optimization auxiliary system for wire harness design according to claim 1, characterized in that: The optimization auxiliary feedback module includes an integration degree determination unit and a feedback unit; The integration degree determination unit is used to compare the integration degree index zxn with the preset integration degree threshold P to obtain the corresponding optimization effect level, as detailed below; If the integration index zxn ≥ the integration threshold P, it indicates that the optimization effect test after the current optimization standard scheme for the wire harness path is determined to be in a pass state, and a first optimization effect level signal is generated. If the integration index zxn < the integration threshold P, it indicates that the optimization effect test after adjusting the current optimization standard scheme for the wire harness path is judged as failing, and a second optimization effect level signal is generated. The feedback unit is used to receive the first optimization effect level signal and the second optimization effect level signal, and to issue and execute corresponding feedback instructions, the specific contents of which are as follows; Upon receiving the first optimization effect level signal, the first feedback instruction is generated and executed. The execution content is to confirm that the current harness path design and optimization scheme has achieved the expected effect and no further adjustments are needed. The designer is then notified that the current optimization scheme has passed the test, the harness path design is stable, and the subsequent design and manufacturing processes should continue. Upon receiving the second optimization effect level signal, a second feedback instruction is generated and executed. The instruction confirms that the current harness path design and optimization scheme have not achieved the expected results and need to be re-evaluated and further optimized. The harness designer is then notified that the current optimization scheme has not passed the test and that the harness path design should be reviewed and optimized again to ensure that the expected design requirements are met.

7. A method for intelligent optimization assistance in wire harness design, used to implement the intelligent optimization assistance system for wire harness design as described in any one of claims 1 to 6, characterized in that: Includes the following steps; Step 1: First, collect and analyze the matching status data of each wire harness connector during the prototype manufacturing and testing phase of the new energy vehicle wiring harness design to generate the connector matching anomaly index zjp and issue path analysis instructions. Step 2: Based on the received path analysis instructions, the wiring harness path status information of the new energy vehicle wiring harness design is collected and features are extracted. At the same time, the connector matching anomaly index zjp is introduced. Through deep machine learning calculation, the wiring harness path evaluation index zyx is fitted and compared and analyzed. Based on the comparison results, it is determined whether to issue an optimization design instruction. Step 3: Next, based on the received optimization design instructions, generate a standard optimization scheme for the wire harness path, and perform standardized adjustments to the wire harness path according to the standard optimization scheme. Step 4: In addition, based on the standard optimization scheme for wire harness paths, the power-on state information of the wire harness after the standardization adjustment of the wire harness path is tested and analyzed, and the integration index zxn of the wire harness under the power-on state is obtained by fitting. Step 5: Finally, compare and analyze the integration index zxn with the preset integration threshold P to obtain the corresponding optimization effect level signal and provide feedback.

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