25146 results about "Cable harness" patented technology

The invention discloses a high-precision voltage measurement method and system based on multi-parameter adaptive compensation, and relates to the technical field of intelligent voltage measurement. The high-precision voltage measurement method and system based on multi-parameter adaptive compensation comprises the steps that S1, voltage signal data and disturbance source characteristic data are collected, preprocessing is completed, and an analysis basis is constructed; s2, analyzing voltage excursion in combination with disturbance current characteristics, and dynamically adjusting a compensation path; s3, evaluating a compensation correction effect, and driving a compensation output strategy in real time; and S4, comprehensively analyzing the offset characteristics and the correction result, judging an abnormal section and triggering adaptive adjustment. The problems that disturbance components cannot be comprehensively extracted from multiple parameters such as PWM modulation frequency, wire harness impedance and working condition load change and a compensation function cannot be reversely constructed in an existing method, and a measured value does not have stability are solved.

The invention relates to the technical field of industrial defect detection, in particular to a wire harness defect detection method and system based on visual identification. The method comprises the following steps: acquiring wire harness image data, and performing image segmentation according to the wire harness image data to obtain wire harness image segmentation data; performing morphological feature extraction according to the wiring harness image segmentation data to obtain wiring harness morphological feature data, and performing three-dimensional reconstruction according to the wiring harness morphological feature data to obtain wiring harness three-dimensional reconstruction data; performing microstructure defect detection according to the wiring harness morphological characteristic data to obtain first wiring harness defect detection and first wiring harness defect detection data, and performing microstructure defect detection on the wiring harness three-dimensional reconstruction data to obtain second wiring harness defect detection data; and marking the wire harness image data according to the first wire harness defect detection data and the second wire harness defect detection data to obtain wire harness image defect marking data. According to the method, the potential defect can be identified in the fine form change of the wire harness.

The invention relates to the technical field of wire harness intelligent evaluation, in particular to a wire harness connection performance intelligent test method and system. The method comprises the following steps: collecting wire harness test data generated by a wire harness test device and a wire harness sensor in real time through an edge computing node; performing electrical performance detection extraction and mechanical performance detection extraction according to the wire harness test data to respectively obtain wire harness electrical performance detection data and wire harness mechanical performance detection data; performing electrical performance deep evaluation according to the wire harness electrical performance detection data to obtain wire harness electrical performance evaluation data, and performing mechanical performance deep evaluation on the wire harness mechanical performance detection data to obtain wire harness mechanical performance evaluation data; and performing environment pressure cross reference according to the wire harness electrical performance evaluation data and the wire harness mechanical performance evaluation data to obtain wire harness connection performance test evaluation data. According to the method, the accuracy of wire harness performance evaluation is improved, and reliable performance data can be obtained in different application fields.

The invention provides a wire harness production quality control system based on artificial intelligence. The wire harness production quality control system comprises a wire harness data acquisition module, a wire harness knowledge graph module, a wire harness quality correlation analysis module, a wire harness quality causal reasoning module, a wire harness quality prediction module, a wire harness parameter optimization module and a wire harness decision support module. The system identifies complex association through a graph neural network, discovers problem root causes through time sequence analysis and causal reasoning, optimizes production parameters in combination with a virtual environment, and provides scientific decision support. According to the method, the technical problems of complex correlation identification, time-delay effect capture, causal relationship determination, parameter optimization and the like in wire harness production are solved, and intelligent quality control of the whole process is realized.

The invention belongs to the technical field of computer vision, and discloses a wire harness crimping defect detection system and method based on machine vision, and the system comprises a multispectral light source control module which is used for employing an annular LED light source and coaxial light mixed illumination and adapting to different wire harness surface materials by dynamically adjusting the angle and intensity of the light source; the multi-dimensional perception acquisition module is used for acquiring wire harness image data and crimping geometric data in real time based on the dynamically adjusted light source angle and intensity; the visual enhancement fusion module is used for de-noising the wire harness image data by using a non-local mean de-noising algorithm and dynamically adjusting and controlling a similarity measurement range through a smooth factor; superposing a multi-scale Retinex algorithm, and enhancing the texture contrast of the wire harness image data through the local contrast; the wire harness image data and the crimping geometric data are fused, and a crimping part multi-mode characteristic graph is constructed; the accuracy of defect detection is facilitated, and potential problems can be found and solved in time.

The invention relates to the technical field of anti-interference shielding, and discloses a new energy wire harness anti-interference shielding optimization method, device and equipment and a storage medium, and the method comprises the steps: sampling voltage and current signals at the two ends of a plurality of wire harnesses in a new energy automobile, and obtaining the original data of a plurality of wire harness signals; carrying out transformation and interpolation processing to obtain multiple pieces of wire harness signal harmonic component data; carrying out calculation and adaptive noise elimination to obtain a plurality of wire harness anti-interference performance indexes; filter parameter optimization calculation is carried out, and adaptive filter optimization parameters are obtained; creating a multi-stage filtering structure and carrying out eigenvalue decomposition orthogonal optimization to obtain multi-stage filtering structure parameters; according to the method, the whole vehicle electromagnetic compatibility of the new energy vehicle is optimized in a distributed mode, a whole vehicle wire harness anti-interference shielding optimization scheme is obtained, the method can dynamically adapt to the complex electromagnetic environment, wire harness anti-interference shielding optimization with local optimization and global optimization is considered, and the whole electromagnetic compatibility of the new energy vehicle is improved.

The invention discloses an intelligent monitoring management system and method for a wire harness production line, and relates to the technical field of wire harness manufacturing, and the method comprises the steps: extracting data of crimping force and mold temperature from historical wire harness production data, coding the data into a real number coding gene chain, generating an initial gene pool in combination with material attributes, and constructing a digital twin model; the method comprises the steps of simulating stress field distribution and a heat conduction effect in a wire harness crimping process through finite element simulation, obtaining a twinning predicted value, pre-verifying process parameters in an initial gene bank based on a digital twinning model, screening process parameter combinations with deformation errors smaller than an error threshold value, and issuing the process parameter combinations to a crimping machine through a production line control center. According to the method, data of real-time wire harness deformation quantity is obtained, the data of the real-time wire harness deformation quantity is compared with a twinborn predicted value frame by frame, a deformation error rate is generated, and an abnormal traceability report is generated based on the deformation error rate, pre-verification is performed by constructing an initial gene pool and combining a digital twinborn model, so that optimization of process parameters is more accurate and effective.

The invention discloses a vehicle stopping electrical safety monitoring system, and relates to the technical field of new energy vehicle control, the vehicle stopping electrical safety monitoring system comprises an intelligent sensing layer, a digital twin decision-making layer, a hierarchical execution layer and a safety escape layer, and the intelligent sensing layer comprises a multi-mode sensor array and is used for collecting physical parameters, chemical parameters and environmental parameters of a vehicle electrical system in real time. According to the method, a high-precision three-dimensional model, an embedded electrolyte leakage model and a wire harness aging model are constructed, the high-precision three-dimensional model comprises a battery compartment geometric structure and a wire harness layout, the former simulates a diffusion path and predicts a short-circuit risk based on fluid dynamics, and the latter realizes fault evolution prediction based on a physical mechanism by combining vibration fatigue and insulation material aging analysis. The hysteresis of traditional threshold value alarm is broken through, a dynamic threshold value table is generated in combination with environment temperature, the charge state and historical fault data, the problem that a traditional fixed threshold value cannot adapt to complex working conditions is solved, and the false alarm rate and the missing alarm rate are reduced.

The invention discloses a wire harness manufacturing management system and method based on artificial intelligence, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: inputting a structured feature vector and a process constraint condition into a multi-target reinforcement learning model, and generating a process parameter instruction; the process parameter instruction is executed, the product yield is monitored in real time, and cross-process quality tracing is carried out on the abnormal product yield; historical data of abnormal batches in crimping, assembling and testing procedures are traced, the defect root cause probability of each procedure is calculated based on a Bayesian causal network, and primary and secondary root causes of quality defects are obtained and analyzed; and dynamically updating process constraint conditions according to primary and secondary root cause analysis results, adjusting a reward function of the multi-target reinforcement learning model, and re-optimizing a process parameter instruction. According to the invention, the operation state of the production equipment is accurately captured, the production process is optimized and adjusted in real time, and a closed-loop management process is formed, so that the production flexibility, efficiency and product quality are remarkably improved.

The invention belongs to the technical field of automobile wire harness manufacturing, and discloses a wire harness terminal intelligent assembly platform and method, and the method comprises the steps: carrying out the multi-mode feature collection and analysis of a wire harness terminal, and constructing a terminal feature knowledge base; intelligent terminal classification and matching are carried out based on the terminal feature knowledge base, and an assembly association network is generated; performing assembly path optimization and multi-robot collaborative planning according to the assembly association network to obtain a dynamic assembly strategy; performing real-time force feedback adaptive control on the assembly process of the wire harness terminal based on a dynamic assembly strategy, performing multi-sensor fusion monitoring and abnormal state recognition on the assembly process, and constructing an assembly quality evaluation model; performing assembly result verification and process parameter self-optimization based on the assembly quality evaluation model to obtain a wiring harness assembly comprehensive evaluation result; and the assembling quality and reliability of the wire harness terminal are obviously improved.

The invention relates to the technical field of wire harness production, and particularly discloses an intelligent monitoring management system for a wire harness production line. Comprising a wiring harness terminal crimping process database module, a wiring harness terminal crimping text data acquisition module, a wiring harness terminal shape text data processing module, a wiring harness terminal pressure text data processing module, a wiring harness terminal crimping process analysis module and an error correction analysis adjustment module. A wire harness terminal crimping management judgment module; and a wire harness terminal crimping man-machine interaction module. According to the invention, text data acquisition and preprocessing are carried out on a wiring harness terminal crimping process link, a first monitoring index and a second monitoring index are obtained by analyzing the shape of the wiring harness terminal and the crimping pressure of the wiring harness terminal, and the terminal shape change and the pressure change in the terminal crimping process are monitored in real time; defective products can be found in time and alarm shutdown can be triggered, so that the time and the labor cost of manual inspection are reduced, and the production efficiency is remarkably improved.

A hinged mobile computing device includes a first housing part and a second housing part coupled by a hinge assembly having a harness, a harness cover, a first hinge body, and a second hinge body. The harness is configured to accommodate flexible printed circuitry and a cable that extend from the first housing part to the second housing part via the hinge assembly. The hinge bodies include respective friction bands, each friction band being configured to engage a respective shaft formed on the harness and having a gear configured to mesh with a respective cog arranged within the harness cover to coordinate a timing of the rotation of the first and second housing parts between face-to-face and back-to-back orientations. The hinge assembly further includes a spring-loaded opening mechanism.

A wire harness connector and a wire harness assembly are provided. [Solution] A plug-in terminal (201) is provided with a connection receiving portion (301) that is inserted into the side of the plug-in terminal, and a functional assembly is provided. When the connecting wire harness (4) is pulled by a large external force, the plug-in terminal automatically releases the connection lock relationship with the fixed connector (101) and can be removed from the inside of the fixed connector without damaging the locking structure in the process. The plug-in terminal can be repeatedly inserted and connected thereafter. According to this design, when it is necessary to remove the plug-in terminal, the plug-in terminal can be easily removed by simply pulling the adjustable seat portion (302) or the connection receiving portion directly with a larger force.

The invention discloses a wiring harness dynamic load and electromagnetic interference coupling test method, and relates to the technical field of wiring harness testing, and the method comprises the steps: S1, defining a plurality of environment parameter groups, and constructing a test platform; s2, dynamic current pulse and multi-axis vibration excitation are synchronously loaded; s3, applying broadband electromagnetic interference signals and monitoring signal crosstalk amplitude and bit error rate changes; s4, the sensor nodes are dynamically configured according to the topological structure of the wire harness; s5, generating a feature vector; s6, outputting a wire harness performance index; s7, outputting a wire harness fault probability prediction value; s8, obtaining prediction data; s9, triggering a high-speed data recording mode, and storing original sensor data 60 seconds before the fault; and dynamically adjusting the gradient step length and the loading sequence in the environment parameter group. Performance evaluation, fault prediction and service life management can be carried out on the wire harness under complex working conditions, and the reliability and safety of an automobile electrical system are improved.

The invention discloses an automobile multi-path low-voltage wire harness detection device, and relates to the technical field of automobile wire harnesses, the automobile multi-path low-voltage wire harness detection device comprises a bottom plate and a fixed seat, the fixed seat is fixedly connected to the top of the bottom plate, and the top of the bottom plate is provided with a straightening assembly; through the arrangement of a first copper column and a groove plate, when multiple paths of low-voltage wire harnesses are installed, only a circular ring terminal on one side of the low-voltage wire harnesses needs to be arranged on the first copper column in a sleeving mode, a linear module drives a movable plate to move along the groove plate, and a wire guide wheel on the movable plate brings the low-voltage wire harnesses located outside the groove plate into the groove plate under the rotation effect; two ends of the multi-path low-voltage wire harness do not need to be fixed in sequence; through cooperation of the pin shaft and the second limiting groove, the hook at the tail of the tension meter is hooked into the unfixed circular ring terminal of the low-voltage wire harness in the rising process, and when the tension meter continues to move, the hook and the circular ring terminal are matched to gradually straighten the low-voltage wire harness, so that automatic straightening of the multi-path low-voltage wire harness is achieved, and time and labor are saved.

The invention provides an automobile wire harness performance parameter test system, and relates to the technical field of automobile wire harnesses, the automobile wire harness performance parameter test system comprises a test assembly and a control module, the test assembly comprises a simulation test group and a mute test box, and the control module comprises an acquisition module, an analysis module, a judgment model unit and a visual feedback platform; a simulation system is constructed in the simulation test group, and when the automobile wire harness is installed in the simulation system for operation, operation state parameters of an automobile under different road conditions and environment conditions are simulated; the simulation system is constructed to simulate the running state parameters of the automobile under different road conditions and environment conditions, the change relevance between the running state parameters and the current parameters of the automobile wire harness is analyzed, the reference variable is obtained, the first performance of the automobile wire harness is comprehensively judged, the actual running requirements of the automobile wire harness are met, and the reliability of the automobile wire harness is improved. The sound of the automobile wire harness is synchronously recognized and collected through the mute test box, the abnormal type of the wire harness represented by the sound is recognized, the second performance of the automobile wire harness is judged, and the method is more comprehensive.

An electronic door system includes a door frame, a door hingedly coupled to the door frame, an electronic locking mechanism coupled to the door, one or more lights coupled to the door frame, a camera system including at least two of a camera, a proximity or motion sensor, or a doorbell, and a wiring harness extending through the door frame and the door. The wiring harness is coupled to the electronic locking mechanism, the one or more lights, and the camera system. The wiring harness is configured to electrically couple to an external power source.

The invention relates to the technical field of wire harness fault diagnosis, and discloses a vehicle-mounted wire harness fault diagnosis method and device and a storage medium. The method comprises the following steps: carrying out equivalent circuit modeling on a measurement node and a wire harness section of the vehicle-mounted wire harness to obtain a node connection relation matrix; performing feature analysis on the voltage data and the current data of the measurement nodes to obtain a fault feature vector and a fault type discrimination rule base; inputting the voltage data, the current data and the node connection relation matrix into a recursive variational graph automatic encoder for data reconstruction to obtain time sequence feature reconstruction data and topological relation reconstruction data; carrying out distributed sub-model division and model fusion to obtain a standardized feature vector; and performing matching analysis on the standardized feature vector and the fault type judgment rule base to obtain fault position information and fault type information, so that automatic optimization and screening of fault features are realized, and the reliability and interpretability of a diagnosis result are improved.

The invention relates to a wheel speed redundancy detection system and method, computer equipment, a storage medium and a vehicle. The system comprises four groups of wheel speed detection modules and a first domain controller, the wheel speed detection module comprises a transmission, a driving motor, a rotary transformer sensor and a motor controller; the transmission is connected with wheels of the vehicle; the driving motor is respectively connected with the transmission and the motor controller; the rotary transformer sensor is arranged on the driving motor and is connected with the motor controller; the motor controller is also connected with the first domain controller, and is used for collecting the resolver signal, obtaining a motor rotating speed according to the resolver signal, and obtaining a corresponding wheel rotating speed according to the gear information of the transmission and the motor rotating speed; the first domain controller is used for performing motion control on the vehicle according to the wheel rotating speed. Redundancy of the vehicle wheel speed signals can be achieved based on the rotary transformer sensor, a wheel speed sensor does not need to be used, and a corresponding sensor wire harness does not need to be added, so that the vehicle using cost can be reduced, and the vehicle development period is shortened.

The invention relates to a system and a method for testing the conductivity of an engine wire harness, and relates to the field of intelligent detection, a programmable switch matrix is formed by acquiring a wire harness layout diagram and arranging matrix relays, and after logic self-inspection is executed, an optimal conduction path is searched based on a hierarchical partition model and a DFS algorithm; according to the method, the path image sets of the partitions are overlapped and mapped to identify abnormal wire harness sections, and finally, abnormity is determined through analog signal injection and waveform analysis and physical repair guidance is performed, so that the technical problems of low test efficiency, poor flexibility and difficulty in adapting to complex variable wire harness layout conductivity test are solved, and the purposes of improving the test flexibility and efficiency and reducing the test cost are achieved. And a fault point can be accurately positioned.

The invention belongs to an aircraft wire harness design technology, and relates to a digital and automatic collaborative design simulation method for aircraft wire harnesses based on Capal and CATIA. According to the method, an existing boundary data model is utilized, electrical parts are installed on CATIA software, and wiring harness arrangement environment conditions are created; creating a three-dimensional wire harness model in the CATIA software; establishing a Capal graphic symbol library and a wire harness part library; creating an aircraft electrical wiring diagram on the Capital software by using the graphic symbol library and the wiring harness part library file; in combination with a CATIA three-dimensional wiring harness model, interactive design is carried out with flight Capital software, and an aircraft two-dimensional topological graph is formed; the sectional area of the wire harness is automatically calculated through CATIA software, and an aircraft simulation three-dimensional wire harness is formed; and combining the aircraft simulation three-dimensional wiring harness with the aircraft topological graph and the aircraft wiring harness two-dimensional graph design to form an aircraft two-dimensional wiring harness chart diagram. According to the invention, database management informatization, three-dimensional wiring harness design digitalization, two-dimensional electrical system principle design and three-dimensional electrical wiring harness model interaction design automation are realized.

The utility model discloses a fire-resistant mica tape wrapping device, which belongs to the technical field of cable production equipment and comprises a bottom plate, a round shell is arranged in the center of the top of the bottom plate, a wire harness plate is arranged on one side of the round shell, a concave area is arranged on the outer edge of one side of the round shell, and a ring gear is adaptively arranged in the concave area. Winders used for containing mica tape coils are installed at the two ends of one side of the annular gear, a clamping cover is fixed to an opening of a concave area of the annular gear, a square shell is arranged on the side, away from the wire harness plate, of the annular gear, an opening groove is formed in the center of the square shell, a cavity is formed in the square shell, and pressing wheels used for pressing and fixing mica tapes are symmetrically arranged on the inner circumference of the opening groove. The wire harness plate is provided with a plurality of specifications, and the center of the wire harness plate is provided with a hole matched with a cable. According to the fire-resistant mica tape wrapping device, the mica tape can be automatically pressed and fixed, the manual winding procedure at the starting stage is reduced, the automatic wrapping effect is achieved, and the working efficiency is improved.

The invention discloses a wire harness defect intelligent identification system and method based on machine vision, and relates to the technical field of machine vision, and the method comprises the following steps: obtaining wire harness image information, wire harness electric signals, current and temperature information through a camera and a sensor in detection equipment; performing data preprocessing on the obtained data, and performing feature extraction on the preprocessed data; through a deep learning neural network model, the model is trained by using a deep learning algorithm, the wire harness quality is judged, and color number tube matching detection is carried out; wiring harness defect recognition is divided into two different scenes, the detection process of the wiring harness defects is analyzed for each scene, a corresponding detection report is generated according to the detection result, and intelligent wiring harness defect recognition based on machine vision is achieved.

The invention relates to the technical field of power batteries, and discloses a plastic uptake support CCS integrated busbar assembly, which comprises a plastic uptake support body, busbar bodies, a wiring harness assembly and a collection nickel sheet, the plastic uptake support body is provided with a plurality of positioning grooves and riveting columns, the positioning grooves are fixedly connected in series with the plurality of busbar bodies through the riveting columns, and the collection nickel sheet is connected with the wiring harness assembly. The busbar bodies comprise a series busbar, a bridging busbar, a positive leading-out electrode busbar and a negative leading-out electrode busbar, the blister support body is provided with a wire harness buckle, the wire harness buckle is located between the two groups of busbar bodies, a wire is fixed on the wire harness buckle, the acquisition nickel sheet is welded on the busbar bodies through laser, and the acquisition nickel sheet is upwarped in a non-breaking manner after being welded. According to the plastic uptake support CCS integrated busbar assembly, the wiring harness buckle can simply, conveniently and quickly fix the wiring harness and prevent the wiring harness from being separated from the plastic uptake support, a traditional mode of fixing the wiring harness through hot pressing or hot riveting is replaced, and the product cost is greatly reduced.

The invention discloses an automobile wire harness parameter performance test method and system, and relates to the field of intelligent monitoring and predictive protection of electrical equipment, and the method comprises the steps: extracting the trend intensity, fluctuation characteristics and abnormal frequency of resistance change based on a high-precision micro-resistance change rate data stream, and carrying out the fusion to generate a three-dimensional characteristic electric pulse signal; according to the three-dimensional characteristic electric pulse signal, a decision result is converted into a control instruction to drive an execution mechanism to execute safety diagnosis regulation and control, and an equipment operation log is generated; based on an equipment operation log, positioning an overheat area by combining a Brillouin scattering principle, measuring dielectric loss change of an insulating material, and generating a diagnosis verification report; according to the diagnosis verification report and the decision result, the neural pathway connection weight is dynamically optimized, and a wire harness performance report is generated; intelligent extraction and compression coding of resistance change characteristics under complex working conditions are realized by adaptively adjusting threshold control parameters, and three-level response decisions are driven to complete fault grading judgment and execution in a millisecond-level time window.

The invention relates to a cable detection device which comprises a first clamping part, a load applying mechanism and a real-time on-off monitoring module, the first clamping part is used for fixing one end of a cable, and the load applying mechanism is arranged on the far side of the first clamping part and used for driving the other end of the cable to generate axial stretching displacement and axial torsion angular displacement in the testing process. The real-time on-off monitoring module is electrically connected with the wire harnesses at the two ends of the cable, and is used for continuously outputting a conduction state signal in the loading process. Through the above structure combination, the cable detection device can simulate the complex composite load borne by the cable in actual use, realizes line-by-line on-off real-time monitoring of each conductor in the cable, and effectively improves the working condition reduction degree and fault identification precision of detection.

A method for installing a wiring harness into a vehicle including coupling at least one module and the wiring harness to a fixture to form a structure, moving the structure to the vehicle, decoupling the module and the wiring harness from the fixture, coupling the module and the wiring harness to the vehicle, and removing the fixture from the vehicle.

The invention relates to the technical field of electrical performance detection, in particular to a household appliance wire harness electrical performance detection method and system. The method comprises the following steps: acquiring initial current and voltage data of a wire harness by using a sensor to obtain original electrical parameter matrix data; performing resistance modeling according to the original electrical parameter matrix data to obtain a resistance dynamic model; performing resistance characteristic analysis according to the resistance dynamic model to obtain resistance characteristic analysis data; and according to the resistance characteristic analysis data, carrying out resistance compliance determination to obtain compliance matrix data so as to carry out household appliance wire harness electrical performance detection auxiliary operation. The electrical performance of the household appliance wire harness is comprehensively detected and accurately evaluated, high technical innovation and practical application value are shown, and the crossing from simple static detection to intelligent dynamic analysis is achieved.

The invention discloses a wire harness product quality prediction system based on big data. An initial multi-source data set is acquired; core features in the initial multi-source data set are extracted based on the crimping height, the insulation resistance value and the environment temperature and humidity of the wire harness quality, high-weight features in the core features are screened through a PCA principal component analysis method, and wire harness feature data are obtained; processing time series data based on a long-short-term memory network, performing feature selection by using an extreme gradient boosting tree, and establishing a hybrid prediction model; using an improved IWOA whale optimization algorithm to optimize hyper-parameters of the hybrid prediction model; and inputting the wire harness characteristic data into the target hybrid prediction model for prediction, outputting a quality risk grade index, and if the quality risk grade index exceeds a set threshold, triggering an early warning signal. The limitation of traditional single data or simple model prediction is changed, so that quality prediction better fits an actual production scene, and the accuracy and reliability of prediction are remarkably improved.