Intelligent optimization auxiliary method and system for wire harness design

Abstract

The invention discloses an intelligent optimization auxiliary method and system for wire harness design, and relates to the technical field of wire harness design, and the method comprises the steps: firstly, collecting and analyzing the matching state data information of each wire harness connector in a prototype manufacturing test stage of the wire harness design of a new energy automobile, so as to generate a connector matching abnormality index zjp; a path analysis instruction is sent out to collect wire harness path state information and perform feature extraction, meanwhile, a connector matching anomaly index zjp is introduced, a wire harness path evaluation index zyx is fitted and subjected to comparative analysis, and an optimization design instruction is sent out to generate a wire harness path standard optimization scheme; performing standardized adjustment on the wire harness path according to the wire harness path optimization standard scheme; and testing and analyzing the wiring harness power-on state information after the wiring harness path is subjected to standardized adjustment, fitting to obtain an integration level index zxn under the wiring harness power-on state, comparing the integration level index zxn with a preset integration level threshold P, and feeding back a corresponding optimization effect grade signal.

Description

Technical Field

[0001] The present invention relates to the technical field of wire harness design, and in particular to a wire harness design intelligent optimization auxiliary method and system. Background Art

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

[0003] However, the prototype manufacturing and testing stage of the current new energy vehicle wiring harness design, as an important part of the wiring harness design, still has many shortcomings. First, the evaluation of the 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 effects of the wiring harness design. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a wiring harness design intelligent optimization auxiliary method and system, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a wiring harness design intelligent optimization auxiliary system, including a wiring harness matching pre-analysis module, a wiring harness path analysis module, an optimization design module, an optimization test 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 information of each wiring harness connector in the prototype manufacturing test phase of the new energy vehicle wiring harness design to generate a connector matching abnormality index zjp and issue a path analysis instruction;

[0007] The wiring harness path analysis module is based on the received path analysis instruction, and is used to collect and extract features of the wiring harness path status information of the wiring harness design of the new energy vehicle, and at the same time introduce the connector matching abnormality index zjp, and fit the wiring harness path evaluation index zyx through deep machine learning calculation, and compare and analyze it, and determine whether to issue an optimization design instruction according to the comparison result;

[0008] The optimization design module generates a standard optimization scheme for the wiring harness path based on receiving the optimization design instruction, and performs standardized adjustment on the wiring harness path according to the standard optimization scheme for the wiring harness path;

[0009] The optimization test module tests and analyzes the wiring harness power-on state information after the wiring harness path is standardized and adjusted based on the wiring harness path standard optimization scheme, and obtains the integration index zxn in the wiring harness power-on state by fitting;

[0010] The optimization auxiliary feedback module is used to compare and analyze the integration index zxn with a preset integration threshold P, obtain a corresponding optimization effect level signal and feed back.

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

[0012] The connector state acquisition unit is used to collect matching state data information of each wiring harness connector in the prototype manufacturing test phase of the new energy vehicle wiring harness design, and obtain a wiring harness connector information data set by fitting, wherein the wiring harness connector information data set includes a connector temperature average deviation value tsj, a connector current average deviation value isj, and a connector resistance average deviation value rsj;

[0013] Preferably, the state analysis unit is used to analyze the wiring harness connector information data set to generate a connector matching anomaly index zjp and issue a path analysis instruction, and the connector matching anomaly index zjp is calculated and obtained by the following formula;

[0014]

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

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

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

[0018] Preferably, the path analysis unit is used to analyze the wiring harness path state data set, and introduce the joint matching abnormality index zjp to obtain the wiring harness path evaluation index zyx, and the wiring harness path evaluation index zyx is obtained by the following formula;

[0019]

[0020] In the formula, rcd j Represented as the jth harness length value, rc j It is expressed as the straight line length value at both ends of the jth harness. Expressed as the total length of the harness, ljs j It is expressed as the actual contact distance value of the jth harness, ls j It is expressed as the safe contact distance value of the jth harness, Expressed as the total deviation of the harness contact distance, swq j It is expressed as the number of bending points of the jth harness, It is represented by the total number of bending points of the wire harness, wherein j=1, 2, 3, ..., m, m represents the wire 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 to comprehensively determine the reasonable layout of the wiring harness path of the new energy vehicle wiring harness design;

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

[0023] If the harness path evaluation index zyx is less than the evaluation threshold A, it indicates that the harness path layout of the current harness design is in a reasonable state, no additional optimization design instructions are issued, and the harness designer is informed that the harness path layout of the current harness design is in a reasonable state and the path layout is stable, and please continue to advance the subsequent design and manufacturing process.

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

[0025] The harness connector matching optimization standard optimizes the inspection and testing of connector matching status, and the prescribed standards for applying connector identification and pairing verification technology; the harness path length optimization standard optimizes the prescribed standards for designing layout based on the shortest path principle and evaluating harness path length; the harness safety spacing optimization standard optimizes the prescribed standards for reasonable and safe contact distances between harnesses; the harness bending point optimization standard optimizes the prescribed standards for the selection of harness bending positions and the number of bending points required.

[0026] Preferably, the optimization test module includes a wiring harness test information acquisition unit and an integration 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 state information after the wiring harness path executes the optimization standard scheme to obtain a wiring harness test data set, wherein the wiring harness test data set includes the wiring harness connection total power consumption value wsh and the total number of interfaces wsz;

[0028] The integration analysis unit is used to analyze the wiring harness test data set and obtain the integration index zxn after dimensionless processing. 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 determination unit and a feedback unit;

[0032] The integration determination unit is used to compare the integration index zxn with the preset integration threshold P to obtain the corresponding optimization effect level, and the specific contents are as follows;

[0033] If the integration index zxn≥the integration threshold P, it indicates that the optimization effect test after the optimization standard scheme is adjusted for the wiring harness path is judged to be in a passed state, and a first optimization effect level signal is generated;

[0034] If the integration index zxn is less than the integration threshold P, it indicates that the optimization effect test after the optimization standard scheme is adjusted for the wiring harness path is judged as a failed state, 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 make and execute corresponding feedback instructions, the specific contents are as follows;

[0036] When the first optimization effect level signal is received, the first feedback instruction is generated and executed, and the execution content is to confirm that the current harness path design and optimization scheme have achieved the expected effect and no further adjustment is required, and to notify the designer that the current optimization scheme has passed the test and the harness path design is stable, and please continue to promote the subsequent design and manufacturing process;

[0037] When the second optimization effect level signal is received, a second feedback instruction is generated and executed. The execution content is to confirm that the current harness path design and optimization scheme have not achieved the expected effect and need to be re-evaluated and further optimized, and to notify the harness designer that the current optimization scheme has not passed the test. Please review and optimize the harness path design to ensure that the expected design requirements are met.

[0038] Preferably, a wiring harness design intelligent optimization auxiliary method comprises the following steps;

[0039] Step 1: First, collect and analyze the matching status data information of each wiring harness connector in the prototype manufacturing test phase of the new energy vehicle wiring harness design to generate a connector matching abnormality index zjp and issue a path analysis instruction;

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

[0041] Step 3: then based on receiving the optimization design instruction, a standard optimization scheme for the wiring harness path is generated, and a standardized adjustment is performed on the wiring harness path according to the standard optimization scheme for the wiring harness path;

[0042] Step 4: In addition, based on the wiring harness path standard optimization scheme, the wiring harness power-on state information after the wiring harness path is standardized and adjusted is tested and analyzed, and the integration index zxn in the wiring harness power-on state is obtained by fitting;

[0043] Step 5: Finally, the integration index zxn is compared and analyzed with the preset integration threshold P to obtain the corresponding optimization effect level signal and feedback it.

[0044] The present invention provides a wiring harness design intelligent optimization auxiliary method and system, which has the following beneficial effects:

[0045] (1) By integrating the pre-analysis, path analysis, optimization design, optimization test and optimization auxiliary feedback modules of the wiring harness matching, the intelligent management of the entire life cycle of the wiring harness design is realized. First, by using advanced data acquisition and analysis technology, comprehensive monitoring and evaluation are carried out from the wiring harness connector matching status to the wiring harness path layout, eliminating the inefficiency and inaccuracy caused by traditional manual evaluation. Through deep machine learning technology, the optimized wiring harness path evaluation index zyx is fitted to ensure the rationality and matching degree of the design, thereby effectively improving the safety and reliability of the wiring harness. Secondly, a standardized optimization scheme is generated according to real-time optimization instructions, and the wiring harness path is automatically adjusted, eliminating the potential defects and errors in manual design. This process further shortens the design cycle and improves design efficiency. The optimization test module further ensures the actual effect of the optimization scheme. By testing the power-on state of the wiring harness, the optimization effect is quantitatively evaluated and feedback is provided, and the design is quickly 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 wiring harness design in terms of high reliability and high safety.

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

[0047] (3) Generate a standardized wiring harness path optimization plan based on the optimization design instructions, and make comprehensive adjustments to the wiring harness path. The optimization test module tests and analyzes the power-on state of the standardized adjusted wiring harness to obtain the integration index zxn, and compares and analyzes it with the preset integration threshold P. In this way, through a data-driven approach, the system can dynamically evaluate and verify the optimization effect, generate a corresponding optimization effect level signal, and provide timely feedback, ensuring that the effect of each optimization adjustment is measurable and verifiable, ultimately achieving the optimal layout and reliability of the wiring harness design. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A block diagram of an intelligent optimization auxiliary system for wiring harness design according to the present invention;

[0049] Figure 2 The present invention is a schematic diagram of the process flow of a wiring harness design intelligent optimization auxiliary method. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] Example 1

[0052] See also Figure 1 , the present invention provides a wiring harness design intelligent optimization auxiliary system, including a wiring harness matching pre-analysis module, a wiring harness path analysis module, an optimization design module, an optimization test 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 information of each wiring harness connector in the prototype manufacturing test phase of the new energy vehicle wiring harness design to generate a connector matching abnormality index zjp and issue a path analysis instruction;

[0054] The wiring harness path analysis module is based on the received path analysis instruction, and is used to collect and extract features of the wiring harness path status information of the wiring harness design of the new energy vehicle, and at the same time introduce the connector matching abnormality index zjp, and fit the wiring harness path evaluation index zyx through deep machine learning calculation, and compare and analyze it, and determine whether to issue an optimization design instruction according to the comparison result;

[0055] The optimization design module generates a standard optimization scheme for the wiring harness path based on receiving the optimization design instruction, and performs standardized adjustment on the wiring harness path according to the standard optimization scheme for the wiring harness path;

[0056] The optimization test module tests and analyzes the wiring harness power-on state information after the wiring harness path is standardized and adjusted based on the wiring harness path standard optimization scheme, and obtains the integration index zxn in the wiring harness power-on state by fitting;

[0057] The optimization auxiliary feedback module is used to compare and analyze the integration index zxn with a preset integration threshold P, obtain a corresponding optimization effect level signal and feed back.

[0058] In this embodiment, by integrating the wiring harness matching judgment, path analysis, optimization design, optimization test and optimization auxiliary feedback modules to work together, efficient status information collection and analysis can be achieved in the prototype manufacturing test phase of new energy vehicle wiring harness design. The system uses deep machine learning technology to generate a wiring harness path evaluation index zyx to ensure the rationality of the path design, and optimizes the wiring harness path layout through standardized adjustment. The optimization test module further obtains the integration index zxn through power-on status information testing. The feedback module generates an optimization effect level signal in real time through comparative analysis with a preset threshold, providing designers with timely and accurate feedback. This system significantly improves the accuracy, reliability and overall performance of the wiring harness design, ensures the standardization and efficiency of the optimization process, and realizes the comprehensive optimization and intelligent management of new energy vehicle wiring harness design.

[0059] Example 2

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

[0061] The connector status acquisition unit is used to collect matching status data information of each wiring harness connector in the prototype manufacturing test phase of new energy vehicle wiring harness design, and to obtain a wiring harness connector information data set by fitting, wherein the wiring harness connector information data set includes an average connector temperature deviation value tsj, an average connector current deviation value isj, and an average connector resistance deviation value rsj.

[0062] The average joint temperature deviation value tsj is an important parameter for measuring the matching state of the wiring harness joint, because a high joint temperature indicates that the joint is overloaded, thereby causing a fault; the normal joint temperature should be within the designed operating temperature range, and when it deviates from this range, it indicates that the joint is mismatched; the temperature parameters of each wiring harness joint are collected by the deployed temperature sensor, and the average joint temperature deviation value tsj is obtained by fitting, which is specifically obtained by the following formula;

[0063]

[0064] In the formula, tsc i It is expressed as the actual temperature value of the i-th harness connector, ts i It represents the normal temperature value of the i-th wiring harness connector, i=1, 2, 3, ..., n, and n represents the wiring harness connector number;

[0065] The connector current average deviation value isj reflects the actual current overload condition of the connector. The connector is designed with its rated current. When the connector current deviation becomes larger, it indicates that the connector does not correctly match the expected electrical load, which is caused by the wiring harness design error. The current deviation is an important indicator for evaluating the connector matching state. The current parameters of each wiring harness connector are collected by the deployed current sensor, and the connector temperature average deviation value isj is obtained by fitting. It is specifically obtained by the following formula;

[0066]

[0067] In the formula, isc i It is expressed as the actual current value of the i-th harness connector, is i It represents the rated current value of the i-th wiring harness connector, i=1, 2, 3, ..., n, and n represents the wiring harness connector number;

[0068] The connector resistance average deviation value rsj is a key parameter for measuring the matching state of the wiring harness connector. When the connector resistance is too high, it means that the connector is incorrectly connected to the interface, which affects the normal operation of the wiring harness. By monitoring the connector resistance, it is possible to effectively evaluate whether the connector matches the design requirements. The resistance parameters of each wiring harness connector are collected by the deployed resistance sensor, and the connector resistance average deviation value rsj is obtained by fitting. It is specifically obtained by the following formula:

[0069]

[0070] In the formula, rsc i It is expressed as the actual current value of the i-th wiring harness connector, rs i It represents the rated current value of the i-th wiring harness connector, i=1, 2, 3, ..., n, and n represents the wiring harness connector number.

[0071] Specifically, the state analysis unit is used to analyze the wiring harness connector information data set to generate a connector matching anomaly index zjp and issue a path analysis instruction. The connector matching anomaly index zjp is calculated and obtained by the following formula;

[0072]

[0073] In the formula, tsj represents the average deviation value of joint temperature, isj represents the average deviation value of joint current, rsj represents the average deviation value of joint resistance, k1, k2 and k3 represent the weight values ​​of the average deviation value of joint temperature tsj, the average deviation value of joint current isj and the average deviation value of 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 connector matching status information acquisition and analysis can be achieved in the prototype manufacturing test 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 a path analysis instruction; the system determines the matching accuracy of the wiring harness connector in the wiring harness design, providing a reliable parameter basis for the subsequent comprehensive analysis of the wiring harness path.

[0075] Example 3

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

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

[0078] Specifically, the path analysis unit is used to analyze the wiring harness path state data set, and introduce the joint matching abnormality index zjp to obtain the wiring harness path evaluation index zyx, and the wiring harness path evaluation index zyx is obtained by the following formula;

[0079]

[0080] In the formula, rcd j Represented as the length of the jth harness, rc j It is expressed as the straight line length value at both ends of the jth harness. Expressed as the total length of the harness, table ljs j The actual contact distance value of the jth harness is shown as ls j It is expressed as the safe contact distance value of the jth harness, Expressed as the total deviation of the harness contact distance, swq j It is expressed as the number of bending points of the jth harness, It is represented by the total number of bending points of the wire harness, wherein j=1, 2, 3, ..., m, m represents the wire 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 wire harness length value rcd is obtained through the deployed distance sensor; specifically, it refers to the actual length of the wire harness;

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

[0083] The total redundant value of the wiring harness refers to the sum of the differences between the actual length of the wiring harness and the straight lengths at both ends of the wiring harness, reflecting the redundancy and complexity of the wiring harness in actual layout. A larger redundant value indicates that the wiring harness path design is not optimized enough, 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. The actual contact distance value ljs of the wire harness specifically refers to the distance between the wire harness and the closest contact point of the structure surface in the actual arrangement, which is used to evaluate the spacing of the wire harness in the actual arrangement process to ensure that it does not have bad contact and friction with other components;

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

[0086] The total deviation of the contact distance of the wiring harness refers to the total deviation between the actual contact distance values ​​of all wiring harnesses and their safety standard distance values, which is used to measure the rationality and safety of the wiring harness layout;

[0087] The number of harness bending points swq is obtained through a visual sensor, which specifically refers to the total number of locations where the harness is bent in actual layout. Each bending point represents a change in direction of the harness, and is used to evaluate the path complexity, laying difficulty, and mechanical stress concentration points of the 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 to comprehensively determine the reasonable layout of the wiring harness path of the new energy vehicle wiring harness design;

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

[0090] If the harness path evaluation index zyx is less than the evaluation threshold A, it indicates that the harness path layout of the current harness design is in a reasonable state, no additional optimization design instructions are issued, and the harness designer is informed that the harness path layout of the current harness design is in a reasonable state and the path layout is stable, and please continue to advance the subsequent design and manufacturing process.

[0091] In this embodiment, through the comprehensive operation of the harness state acquisition unit, the path analysis unit and the harness path determination unit, efficient collection, feature extraction and evaluation analysis of the harness path state information of new energy vehicles are achieved. The system uses the harness path evaluation index zyx to further determine the harness path to ensure the rationality and safety of the design. By optimizing the generation and implementation of design instructions, the harness path is standardized and adjusted, the redundancy and path complexity of the harness are optimized, the actual length of the harness and unnecessary detours are reduced, and the safety and reliability of the layout are improved. Finally, the system can provide real-time feedback based on the evaluation results, guide designers to advance subsequent design and manufacturing processes based on reasonable path layout, and improve 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 the optimization design instruction, generate and execute the wiring harness path standard optimization plan according to the optimization design instruction, and the execution content of the wiring harness path optimization standard plan includes: wiring harness connector matching optimization standard, wiring harness path length optimization standard, wiring harness safety spacing optimization standard and wiring harness bending point optimization standard;

[0094] The harness connector matching optimization standard optimizes the inspection and testing of connector matching status, and the prescribed standards for applying connector identification and pairing verification technology; the harness path length optimization standard optimizes the prescribed standards for designing layout based on the shortest path principle and evaluating harness path length; the harness safety spacing optimization standard optimizes the prescribed standards for reasonable and safe contact distances between harnesses; the harness bending point optimization standard optimizes the prescribed standards for the selection of harness bending positions and the number of bending points required.

[0095] In this embodiment, the optimization design instruction is received by the optimization design module, and the wiring harness path standard optimization plan is generated and executed, including the wiring harness connector matching optimization standard, the wiring harness path length optimization standard, the wiring harness safety spacing optimization standard and the wiring harness bending point optimization standard, thereby realizing the all-round optimization of the wiring harness design of new energy vehicles. The connector identification and pairing verification technology are used to improve the accuracy and reliability of connector matching; the shortest path principle is applied to reduce the length of the wiring harness path, and the material cost and weight of the wiring harness are reduced; the electrical performance and stability of the wiring harness are improved through reasonable wiring harness spacing design; the mechanical stress and fatigue of the wiring harness are reduced by optimizing the selection of the wiring harness bending position and the number of bending points, and the durability and safety of the wiring harness are improved. On the whole, the system significantly improves the efficiency and quality of the wiring harness design, and ensures the rationality and reliability of the wiring harness layout of new energy vehicles.

[0096] Example 5

[0097] Please refer to Figure 1 , specifically: the optimization test module includes a wiring harness test information acquisition unit and an integration 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 state information after the wiring harness path executes the optimization standard scheme to obtain a wiring harness test data set, wherein the wiring harness test data set includes the wiring harness connection total power consumption value wsh and the total number of interfaces wsz;

[0099] The total power consumption value wsh of the wiring harness connection refers to the total power loss of the wiring harness during the test transmission process, and the total power consumption value wsh of the wiring harness connection is obtained by the following formula:

[0100]

[0101] In the formula, vr j It is represented as the test input voltage value of the jth harness, vc j Expressed as the test output voltage value of the jth harness, ics j It represents the test current value of the jth wiring harness, j=1, 2, 3, ..., m, and m represents the wiring 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 a voltage sensor, the test current value ics is obtained by a current sensor, and the total number of interfaces wsz is obtained by a visual sensor;

[0103] The integration analysis unit is used to analyze the wiring harness test data set and obtain the integration index zxn after dimensionless processing. 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 determination unit and a feedback unit;

[0107] The integration determination unit is used to compare the integration index zxn with the preset integration threshold P to obtain the corresponding optimization effect level, and the specific contents are as follows;

[0108] If the integration index zxn≥the integration threshold P, it indicates that the optimization effect test after the optimization standard scheme is adjusted for the wiring harness path is judged to be in a passed state, and a first optimization effect level signal is generated;

[0109] If the integration index zxn is less than the integration threshold P, it indicates that the optimization effect test after the optimization standard scheme is adjusted for the wiring harness path is judged as a failed state, 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 make and execute corresponding feedback instructions, the specific contents are as follows;

[0111] When the first optimization effect level signal is received, the first feedback instruction is generated and executed, and the execution content is to confirm that the current harness path design and optimization scheme have achieved the expected effect and no further adjustment is required, and to notify the designer that the current optimization scheme has passed the test and the harness path design is stable, and please continue to promote the subsequent design and manufacturing process;

[0112] When the second optimization effect level signal is received, a second feedback instruction is generated and executed. The execution content is to confirm that the current harness path design and optimization scheme have not achieved the expected effect and need to be re-evaluated and further optimized, and to notify the harness designer that the current optimization scheme has not passed the test. Please review and optimize the harness path design 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 optimization standard scheme is collected and analyzed through the optimization test module to obtain the wiring harness test data set, and 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, and compare zxn with the pre-set integration threshold P through the integration determination unit, and automatically generate an optimization effect level signal. When the integration index reaches or exceeds the threshold, the system generates a feedback signal of the pass state to confirm that the optimization scheme has achieved the expected effect; if the threshold is not reached, the system generates a feedback signal of the fail state to re-evaluate and optimize the wiring harness path design. The system significantly improves the reliability and efficiency of the wiring harness design through the testing and feedback mechanism.

[0114] Example 6

[0115] Please refer to Figure 1 and Figure 2 ,Specifically: A wiring harness design intelligent optimization ,assisted method includes the following steps;

[0116] Step 1: First, collect and analyze the matching status data information of each wiring harness connector in the prototype manufacturing test phase of the new energy vehicle wiring harness design to generate a connector matching abnormality index zjp and issue a path analysis instruction;

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

[0118] Step 3: then based on receiving the optimization design instruction, a standard optimization scheme for the wiring harness path is generated, and a standardized adjustment is performed on the wiring harness path according to the standard optimization scheme for the wiring harness path;

[0119] Step 4: In addition, based on the wiring harness path standard optimization scheme, the wiring harness power-on state information after the wiring harness path is standardized and adjusted is tested and analyzed, and the integration index zxn in the wiring harness power-on state is obtained by fitting;

[0120] Step 5: Finally, the integration index zxn is compared and analyzed with the preset integration threshold P to obtain the corresponding optimization effect level signal and feedback it.

[0121] In this embodiment, through the following steps, firstly, data collection and analysis are performed on the matching status of the wiring harness connector of the new energy vehicle, the connector matching abnormality index zjp is generated and a path analysis instruction is issued, and secondly, the wiring harness path status information is feature extracted and combined with zjp, and the wiring harness path evaluation index zyx is fitted through deep machine learning calculation to determine whether to issue an optimization design instruction, and then, a wiring harness path standard optimization scheme is generated and the path is standardized. In addition, the adjusted wiring harness power-on status information is tested and analyzed to obtain the integration index zxn, and finally, zxn is compared and analyzed with the integration threshold P to obtain and feedback the corresponding optimization effect level signal. This method significantly improves the accuracy and reliability of the wiring harness design through comprehensive data collection, deep machine learning analysis and standardized optimization adjustment, ensures the optimization and stability of the wiring harness path, and improves the overall optimization auxiliary effect of the wiring harness design of new energy vehicles.

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

Claims

1. A wiring harness design intelligent optimization auxiliary system, characterized by: It includes a wiring harness matching pre-analysis module, a wiring harness path analysis module, an optimization design module, an optimization test module and an optimization auxiliary feedback module; The wiring harness matching pre-analysis module is used to collect and analyze the matching status data information of each wiring harness connector in the prototype manufacturing test phase of the new energy vehicle wiring harness design to generate a connector matching abnormality index zjp and issue a path analysis instruction; The wiring harness path analysis module is based on the received path analysis instruction, and is used to collect and extract features of the wiring harness path status information of the wiring harness design of the new energy vehicle, and at the same time introduce the connector matching abnormality index zjp, and fit the wiring harness path evaluation index zyx through deep machine learning calculation, and compare and analyze it, and determine whether to issue an optimization design instruction according to the comparison result; The optimization design module generates a standard optimization scheme for the wiring harness path based on receiving the optimization design instruction, and performs standardized adjustment on the wiring harness path according to the standard optimization scheme for the wiring harness path; The optimization test module tests and analyzes the wiring harness power-on state information after the wiring harness path is standardized and adjusted based on the wiring harness path standard optimization scheme, and obtains the integration index zxn in the wiring harness power-on state by fitting; The optimization auxiliary feedback module is used to compare and analyze the integration index zxn with a preset integration threshold P, obtain a corresponding optimization effect level signal and feed back.

2. According to claim 1, the intelligent optimization auxiliary system for wiring harness design is characterized in that: The wiring harness matching pre-analysis module includes a joint state acquisition unit and a state analysis unit; The connector status acquisition unit is used to collect matching status data information of each wiring harness connector in the prototype manufacturing test phase of new energy vehicle wiring harness design, and to obtain a wiring harness connector information data set by fitting, wherein the wiring harness connector information data set includes an average connector temperature deviation value tsj, an average connector current deviation value isj, and an average connector resistance deviation value rsj.

3. The intelligent optimization auxiliary system for wiring harness design according to claim 2 is characterized in that: The state analysis unit is used to analyze the wiring harness joint information data set to generate a joint matching abnormality index zjp and issue a path analysis instruction. The joint matching abnormality index zjp is calculated and obtained by the following formula; In the formula, tsj represents the average deviation value of joint temperature, isj represents the average deviation value of joint current, rsj represents the average deviation value of joint resistance, k1, k2 and k3 represent the weight values ​​of the average deviation value of joint temperature tsj, the average deviation value of joint current isj and the average deviation value of joint resistance rsj respectively, and A represents the first correction constant.

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

5. The intelligent optimization auxiliary system for wiring harness design according to claim 4 is characterized in that: The path analysis unit is used to analyze the wiring harness path state data set, and introduce the joint matching abnormality index zjp to obtain the wiring harness path evaluation index zyx, and the wiring harness path evaluation index zyx is obtained by the following formula; In the formula, rcd j Represented as the jth harness length value, rc j It is expressed as the straight line length value at both ends of the jth harness. Expressed as the total length of the harness, ljs j It is expressed as the actual contact distance value of the jth harness, ls j It is expressed as the safe contact distance value of the jth harness, Expressed as the total deviation of the harness contact distance, swq j It is expressed as the number of bending points of the jth harness, It is represented by the total number of bending points of the wire harness, wherein j=1, 2, 3, ..., m, m represents the wire harness number, a1, a2, a3 and a4 all represent weight values, and B represents the second correction constant.

6. The intelligent optimization auxiliary system for wiring harness design according to claim 4 is 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 to comprehensively determine the reasonable layout of the wiring harness path of the new energy vehicle wiring harness design; If the harness path evaluation index zyx ≥ the evaluation threshold A, it indicates that the harness path layout of the current harness design is in an unreasonable state, and an optimization design instruction is issued; If the harness path evaluation index zyx is less than the evaluation threshold A, it indicates that the harness path layout of the current harness design is in a reasonable state, no additional optimization design instructions are issued, and the harness designer is informed that the harness path layout of the current harness design is in a reasonable state and the path layout is stable, and please continue to advance the subsequent design and manufacturing process.

7. The intelligent optimization auxiliary system for wiring harness design according to claim 1 is characterized in that: The optimization design module is used to receive the optimization design instruction, generate and execute the wiring harness path standard optimization plan according to the optimization design instruction, and the execution content of the wiring harness path optimization standard plan includes: wiring harness connector matching optimization standard, wiring harness path length optimization standard, wiring harness safety spacing optimization standard and wiring harness bending point optimization standard; The harness connector matching optimization standard optimizes the inspection and testing of connector matching status, and the prescribed standards for applying connector identification and pairing verification technology; the harness path length optimization standard optimizes the prescribed standards for designing layout based on the shortest path principle and evaluating harness path length; the harness safety spacing optimization standard optimizes the prescribed standards for reasonable and safe contact distances between harnesses; the harness bending point optimization standard optimizes the prescribed standards for the selection of harness bending positions and the number of bending points required.

8. The intelligent optimization auxiliary system for wiring harness design according to claim 1 is characterized in that: The optimization test module includes a wiring harness test information acquisition unit and an integration 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 state information after the wiring harness path executes the optimization standard scheme to obtain a wiring harness test data set, wherein the wiring harness test data set includes the wiring harness connection total power consumption value wsh and the total number of interfaces wsz; The integration analysis unit is used to analyze the wiring harness test data set and obtain the integration index zxn after dimensionless processing. 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.

9. The intelligent optimization auxiliary system for wiring harness design according to claim 1, characterized in that: The optimization auxiliary feedback module includes an integration determination unit and a feedback unit; The integration determination unit is used to compare the integration index zxn with the preset integration threshold P to obtain the corresponding optimization effect level, and the specific contents are as follows; If the integration index zxn≥the integration threshold P, it indicates that the optimization effect test after the optimization standard scheme is adjusted for the wiring harness path is judged to be in a passed state, and a first optimization effect level signal is generated; If the integration index zxn is less than the integration threshold P, it indicates that the optimization effect test after the optimization standard scheme is adjusted for the wiring harness path is judged as a failed state, 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 make and execute corresponding feedback instructions, the specific contents are as follows; When the first optimization effect level signal is received, the first feedback instruction is generated and executed, and the execution content is to confirm that the current harness path design and optimization scheme have achieved the expected effect and no further adjustment is required, and to notify the designer that the current optimization scheme has passed the test and the harness path design is stable, and please continue to promote the subsequent design and manufacturing process; When the second optimization effect level signal is received, a second feedback instruction is generated and executed. The execution content is to confirm that the current harness path design and optimization scheme have not achieved the expected effect and need to be re-evaluated and further optimized, and to notify the harness designer that the current optimization scheme has not passed the test. Please review and optimize the harness path design to ensure that the expected design requirements are met.

10. A wiring harness design intelligent optimization auxiliary method, used to implement a wiring harness design intelligent optimization auxiliary system as claimed in any one of claims 1 to 9, characterized in that: The steps include: Step 1: First, collect and analyze the matching status data information of each wiring harness connector in the prototype manufacturing test phase of the new energy vehicle wiring harness design to generate a connector matching abnormality index zjp and issue a path analysis instruction; Step 2: Based on the received path analysis instruction, the wiring harness path status information of the new energy vehicle wiring harness design is collected and extracted through feature extraction, and the connector matching abnormality index zjp is introduced. Through deep machine learning calculation, the wiring harness path evaluation index zyx is fitted, and compared and analyzed. According to the comparison results, it is determined whether to issue an optimization design instruction; Step 3: then based on receiving the optimization design instruction, a standard optimization scheme for the wiring harness path is generated, and a standardized adjustment is performed on the wiring harness path according to the standard optimization scheme for the wiring harness path; Step 4: In addition, based on the wiring harness path standard optimization scheme, the wiring harness power-on state information after the wiring harness path is standardized and adjusted is tested and analyzed, and the integration index zxn in the wiring harness power-on state is obtained by fitting; Step 5: Finally, the integration index zxn is compared and analyzed with the preset integration threshold P to obtain the corresponding optimization effect level signal and feedback it.

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