Electromagnetic interference identification device, method and equipment for automobile signal transmission cable

Abstract

The invention discloses an electromagnetic interference identification device, method and equipment for an automobile signal transmission cable, and belongs to the technical field of automobile cables. The device comprises an environmental electromagnetic signal acquisition module used for acquiring an environmental electromagnetic signal through a composite electromagnetic sensor installed at a specific position of an automobile; the specific event identification module is used for identifying whether the signal received by the receiving end of the signal transmission cable has a specific event; the influence identification module is used for identifying that the environment electromagnetic signal and the transmission signal of the signal transmission cable are in a coupling range under the condition that a specific event exists; and the electromagnetic interference processing module is used for determining that electromagnetic interference exists under the condition of coupling and re-executing transmission of related information when the interference is weakened. According to the technical scheme, whether interference and other problems exist in the signal transmission process of the signal transmission cable or not can be accurately judged, so that the accuracy of signal transmission in the automobile running process is improved, and the experience of passengers is improved.

Description

Technical Field

[0001] This application belongs to the technical field of vehicle cables, and specifically relates to an electromagnetic interference identification device, method, and equipment for an automotive signal transmission cable. Background Art

[0002] With the rapid development of technology, automobiles have become carriers with more personalized and entertainment functions in addition to meeting people's travel needs. For different functions, it is particularly important to use signal cables to transmit control signals or other signals. Once there is an error in signal transmission, it will lead to situations such as incorrect function triggering or abnormal interruption.

[0003] Currently, the detection of signal transmission cables mainly focuses on regular inspections, or maintenance inspections when users find that certain functions cannot be used properly. However, it does not have the ability to detect at any time. Moreover, during the driving of an automobile, due to the particularity of some places, electromagnetic interference may be formed on the signal transmission cable. In such a situation, as the vehicle moves out, the interference will gradually disappear, resulting in intermittent problems where certain functions of the automobile cannot be used properly. Therefore, how to be able to detect the signal transmission cable of an automobile in real time to ensure the safety and stability of the operation of automobile functions has become an important issue that people are concerned about. Summary of the Invention

[0004] The purpose of the embodiments of this application is to provide an electromagnetic interference identification device, method, and equipment for an automotive signal transmission cable, aiming to accurately judge whether there are problems such as interference during its transmission process by identifying electromagnetic signals in the environment through a pre-set electromagnetic sensor and combining the signals received by the receiving end of the signal transmission cable, so as to improve the accuracy of signal transmission during the operation of the automobile and enhance the experience of passengers.

[0005] In a first aspect, the embodiments of this application provide an electromagnetic interference identification device for an automotive signal transmission cable, and the device includes:

[0006] An environmental electromagnetic signal acquisition module, configured to acquire environmental electromagnetic signals through a composite electromagnetic sensor installed at a specific position of the vehicle;

[0007] A specific event identification module, configured to identify whether there is a specific event in the signal received by the receiving end of the signal transmission cable; wherein, the specific event includes any one or more of signal error codes, signal interruptions, and electronic component damage;

[0008] An influence identification module, configured to identify that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within the coupling range in the case of a specific event;

[0009] An electromagnetic interference processing module is used to determine the existence of electromagnetic interference when within the coupling range, and re - execute the transmission of relevant information when the environmental electromagnetic signal information weakens.

[0010] Furthermore, the device further includes:

[0011] An installation position determination module is used to obtain the basic structure information of the vehicle and determine the installation position of the composite electromagnetic sensor according to the basic structure information.

[0012] Furthermore, the installation position determination module is specifically used for:

[0013] Obtain the basic structure information of the vehicle;

[0014] Input the basic structure information into an intelligent position selection algorithm, and the intelligent position selection algorithm determines the installation position of the composite electromagnetic sensor based on the electromagnetic radiation characteristics of vehicle components; wherein, the vehicle components include at least one of an engine, an electronic control unit, and a communication module.

[0015] Furthermore, the environmental electromagnetic signal acquisition module is further used for:

[0016] Adopt an orthogonally polarized antenna array to obtain the signal differences received by the antennas in different polarization directions of the environmental electromagnetic signal;

[0017] Determine the direction of the environmental electromagnetic signal according to the signal differences received by the antennas in different polarization directions.

[0018] Furthermore, the specific event recognition module includes:

[0019] A communication protocol acquisition unit is used to acquire the type of communication protocol transmitted by the signal transmission cable currently used in the vehicle;

[0020] A sample collection unit is used to collect normal signal samples and interference signal samples under interference conditions;

[0021] An error code detection model training unit is used to perform machine learning based on the normal signal samples and the interference signal samples to obtain an error code detection model;

[0022] An output unit is used to output a specific event indicating whether there is a signal error in the signal transmitted by the current signal transmission cable based on the error code detection model.

[0023] Furthermore, the specific event recognition module further includes:

[0024] An interruption detection model training unit is used to perform machine learning on the characteristics of the interruption signal changing with time based on the normal signal samples and the interference signal samples to obtain an interruption detection model;

[0025] The output unit is further configured to output a specific event indicating whether there is a signal interruption in the signal transmitted by the current signal transmission cable based on the interruption detection model.

[0026] Further, the specific event recognition module further includes:

[0027] A damage detection model training unit, configured to perform machine learning on fault features based on the normal signal samples and the interference signal samples of various electronic components in different damaged states to obtain a damage detection model;

[0028] The output unit is further configured to output a specific event indicating whether there is damage to an electronic component in the signal transmitted by the current signal transmission cable based on the damage detection model.

[0029] In a second aspect, an embodiment of the present application provides a method for identifying electromagnetic interference of an automotive signal transmission cable. The method includes:

[0030] Obtaining ambient electromagnetic signals through a composite electromagnetic sensor installed at a specific position of the vehicle;

[0031] Identifying whether there is a specific event in the signal received by the receiving end of the signal transmission cable; wherein, the specific event includes any one or more of signal error, signal interruption, and electronic component damage;

[0032] In the case of a specific event, identifying that the ambient electromagnetic signal and the transmission signal of the signal transmission cable are within the coupling range;

[0033] In the case of being within the coupling range, determining that there is electromagnetic interference, and when the ambient electromagnetic signal information is identified as weakened, re-executing the transmission of relevant information.

[0034] Further, the method further includes:

[0035] Obtaining the basic structure information of the vehicle and determining the installation position of the composite electromagnetic sensor according to the basic structure information.

[0036] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0038] In a fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is configured to run programs or instructions to implement the method described in the first aspect.

[0039] In an embodiment of the present application, an environmental electromagnetic signal acquisition module is configured to acquire environmental electromagnetic signals through a composite electromagnetic sensor installed at a specific position of a vehicle; a specific event recognition module is configured to identify whether there is a specific event in the signals received by the receiving end of a signal transmission cable; wherein the specific event includes any one or more of signal error codes, signal interruptions, and damage to electronic components; an influence recognition module is configured to, when there is a specific event, recognize that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within a coupling range; an electromagnetic interference processing module is configured to, when within the coupling range, determine that there is electromagnetic interference, and when the environmental electromagnetic signal information is recognized to be weakened, re - execute the transmission of relevant information. The above - mentioned technical solution accurately judges whether there are problems such as interference in the transmission process by pre - setting an electromagnetic sensor to identify the electromagnetic signals in the environment and combining the signals received by the receiving end of the signal transmission cable, so as to improve the accuracy of signal transmission during the operation of the vehicle and enhance the experience of passengers. Description of the Drawings

[0040] Figure 1 is a schematic structural diagram of an electromagnetic interference recognition device for an automotive signal transmission cable provided in Embodiment 1 of the present application;

[0041] Figure 2 is a schematic structural diagram of an electromagnetic interference recognition device for an automotive signal transmission cable provided in Embodiment 2 of the present application;

[0042] Figure 3 is a schematic structural diagram of an electromagnetic interference recognition device for an automotive signal transmission cable provided in Embodiment 3 of the present application;

[0043] Figure 4 is a schematic flowchart of an electromagnetic interference recognition method for an automotive signal transmission cable provided in Embodiment 4 of the present application;

[0044] Figure 5 is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present application. Detailed Embodiments

[0045] To make the objectives, technical solutions, and advantages of this application clearer, the following provides a more detailed description of specific embodiments of this application with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are merely used to explain this application and do not limit this application. Additionally, it should be noted that for ease of description, only parts related to this application are shown in the drawings rather than all content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operations are completed, but it can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, and so on.

[0046] The following will clearly describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of this application.

[0047] The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of this application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0048] The following will, with reference to the accompanying drawings, provide a detailed description of the electromagnetic interference identification device, method, and equipment for automotive signal transmission cables provided in the embodiments of this application through specific embodiments and their application scenarios.

[0049] Embodiment 1

[0050] Figure 1 is a schematic structural diagram of the electromagnetic interference identification device for automotive signal transmission cables provided in Embodiment 1 of this application. As Figure 1 shown, the device includes:

[0051] An environmental electromagnetic signal acquisition module 110, configured to acquire environmental electromagnetic signals through a composite electromagnetic sensor installed at a specific position of the vehicle;

[0052] A specific event recognition module 120 is used to identify whether there is a specific event in the signal received by the receiving end of the signal transmission cable; wherein, the specific event includes any one or more of signal error code, signal interruption, and electronic component damage.

[0053] An influence recognition module 130 is used to identify that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within the coupling range when there is a specific event.

[0054] An electromagnetic interference processing module 140 is used to determine the existence of electromagnetic interference when within the coupling range, and re - execute the transmission of relevant information when the information of the environmental electromagnetic signal weakens.

[0055] Among them, an environmental electromagnetic signal acquisition module 110 is used to collect electromagnetic signals from the surrounding environment of the vehicle. It may include components such as signal processing circuits and data interfaces to ensure accurate acquisition and preliminary processing of environmental electromagnetic signals.

[0056] The specific position of the vehicle can be determined by using intelligent algorithms based on the analysis of the vehicle's electromagnetic topology. For example, it may be near the area where electronic components are concentrated, such as near the engine. Since various electromagnetic radiations are generated when the engine works, installing sensors here can effectively capture relevant interference signals; it may also be near the antenna position on the top of the vehicle body to obtain electromagnetic signals related to communication.

[0057] The composite electromagnetic sensor can be a sensor integrating multiple detection functions. It can cover the frequency band range from low - frequency to high - frequency at the same time. For example, the low - frequency range is 10 kHz - 1 MHz, which is used to detect electromagnetic interference related to the power system, and the high - frequency range is 1 GHz - 10 GHz, which is used to detect electromagnetic interference related to the communication system. Through micro - electro - mechanical system (MEMS) technology for miniaturization and integration, it can also accurately sense the polarization direction of electromagnetic signals, such as through an orthogonal polarization antenna array.

[0058] The environmental electromagnetic signal can refer to various electromagnetic signals existing in the space around the vehicle, with a wide range of sources, including electromagnetic radiations generated by surrounding power facilities, communication base stations, and electronic devices of other vehicles.

[0059] This solution uses a composite electromagnetic sensor to collect electromagnetic signals in the surrounding environment of the vehicle, converts them into electrical signals or digital signals that can be processed, and performs preliminary filtering, amplification, etc. through specific circuits and algorithms for further analysis by subsequent modules.

[0060] A specific event recognition module 120 is used to analyze the signal at the receiving end of the signal transmission cable to determine whether a specific abnormal situation occurs.

[0061] Among them, the signal transmission cable can be used to transmit various electronic signals inside the vehicle, connecting different electronic devices and modules, such as connecting in-vehicle computers with sensors, actuators and other components.

[0062] The receiving end, which is the end of the signal transmission cable, is responsible for receiving the signal transmitted from the sending end and passing it to subsequent electronic devices for processing.

[0063] Specific events in this solution can include signal error codes, signal interruptions, and damage to electronic components. A signal error code refers to an incorrect code that appears during signal transmission, affecting the accuracy of data; a signal interruption indicates a sudden stop in signal transmission; and damage to an electronic component means that a certain component in the vehicle electronic system fails and cannot work properly.

[0064] Among them, a signal error code may be due to factors such as electromagnetic interference, where some data bits of the signal are incorrect during transmission, resulting in the data received at the receiving end being inconsistent with the original data at the sending end. For example, in a communication protocol, if a specific check code does not match, it may mean that there is a signal error code.

[0065] A signal interruption may occur during signal transmission due to strong electromagnetic interference, line faults, etc., causing the signal to completely stop being transmitted and the receiving end to be unable to receive a valid signal.

[0066] Damage to an electronic component can be various components in the vehicle electronic system, such as resistors, capacitors, and chips, whose electrical performance changes due to overvoltage, overcurrent, high temperature, or aging, etc., and they cannot perform their functions normally.

[0067] This solution can use an error code detection model based on deep learning to determine whether there is a signal error code; through real-time signal energy monitoring and prediction technology, combined with time series analysis and machine learning algorithms, to determine whether the signal is interrupted; and use a component diagnosis method based on fault feature fingerprints to compare the monitored electromagnetic radiation information with a pre-established fault feature fingerprint library to determine whether an electronic component is damaged.

[0068] The influence recognition module 130 can be activated after a specific event is recognized, analyze the relationship between the environmental electromagnetic signal and the signal transmitted by the signal transmission cable, and determine whether it is within the coupling range.

[0069] The coupling range can refer to the spatial region or electromagnetic interaction range where the environmental electromagnetic signal and the signal transmitted by the signal transmission cable can affect each other. When the two are within this range, the environmental electromagnetic signal may interfere with the transmission signal in the cable.

[0070] This solution can adopt a method based on spatio-temporal correlation analysis, which not only analyzes the correlation between environmental electromagnetic signals and transmission cable signals in terms of frequency and amplitude, but also combines the electromagnetic signals collected simultaneously at multiple sensor positions and the vehicle motion state information. Using a multi-source data fusion algorithm, it deeply analyzes whether the two are within the coupling range from the time and space dimensions.

[0071] The electromagnetic interference processing module 140 can take corresponding measures to ensure the accuracy of signal transmission when it is determined that there is electromagnetic interference.

[0072] Electromagnetic interference refers to the adverse effects of environmental electromagnetic signals on the transmission signals in the signal transmission cable, resulting in problems such as signal error codes and interruptions.

[0073] This solution can, based on the influence recognition module, determine that the environmental electromagnetic signal and the transmission signal are within the coupling range, and clarify the existence of electromagnetic interference. By continuously monitoring and analyzing the environmental electromagnetic signal, it is judged whether it weakens. An intelligent algorithm can be used to comprehensively evaluate multiple characteristic parameters of the signal to determine whether the signal weakens. This solution can start an adaptive dynamic retransmission mechanism, and according to factors such as the weakening degree of the environmental electromagnetic signal, the error rate, and the duration of signal interruption, adjust the retransmission times and time intervals in real time, and retransmit relevant information to ensure the accurate transmission of information.

[0074] For the technical solution provided in this embodiment, the environmental electromagnetic signal acquisition module is used to acquire environmental electromagnetic signals through a composite electromagnetic sensor installed at a specific position of the vehicle; the specific event recognition module is used to identify whether there is a specific event in the signal received by the receiving end of the signal transmission cable; wherein, the specific event includes any one or more of signal error codes, signal interruptions, and electronic component damage; the influence recognition module is used to identify that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within the coupling range when there is a specific event; the electromagnetic interference processing module is used to determine the existence of electromagnetic interference when within the coupling range, and re-execute the transmission of relevant information when it is recognized that the environmental electromagnetic signal information weakens. This technical solution can improve the accuracy of the signals transmitted by the signal transmission cable, effectively ensure the stable operation of the vehicle electronic system in a complex electromagnetic environment, and ensure the operation safety of the vehicle and the accurate operation of vehicle functions.

[0075] Embodiment 2

[0076] Based on the above embodiment, this embodiment is further optimized. Specifically, the optimization is as follows: The device further includes: an installation position determination module, which is used to obtain the basic structure information of the vehicle and determine the installation position of the composite electromagnetic sensor according to the basic structure information. Figure 2It is a schematic structural diagram of an electromagnetic interference identification device for an automotive signal transmission cable provided in the second embodiment of the present application. As Figure 2 shown, the device includes:

[0077] An ambient electromagnetic signal acquisition module 210, configured to acquire ambient electromagnetic signals through a composite electromagnetic sensor installed at a specific position of the vehicle;

[0078] A specific event identification module 220, configured to identify whether there is a specific event in the signal received by the receiving end of the signal transmission cable; wherein, the specific event includes any one or more of signal error, signal interruption, and electronic component damage;

[0079] An influence identification module 230, configured to identify that the ambient electromagnetic signal and the transmission signal of the signal transmission cable are within the coupling range in the case of a specific event;

[0080] An electromagnetic interference processing module 240, configured to determine the existence of electromagnetic interference in the case of being within the coupling range, and re - execute the transmission of relevant information when the ambient electromagnetic signal information weakens;

[0081] The device further includes:

[0082] An installation position determination module 250, configured to acquire the basic structure information of the vehicle and determine the installation position of the composite electromagnetic sensor according to the basic structure information.

[0083] Among them, the basic structure information of the vehicle may include structural and layout data in various aspects of the vehicle. The mechanical structure information includes the material, shape, and size of the vehicle body frame, as well as the positions and installation methods of main components such as the engine, transmission, and suspension system. These mechanical structures will affect the propagation path of electromagnetic signals. For example, a metal - bodied vehicle frame may shield or reflect electromagnetic signals. The electrical system information includes the layout of electrical circuits inside the vehicle, such as the routing and connection methods of power lines and signal lines, as well as the distribution of various electronic devices, such as in - vehicle computers, sensors, and actuators. Different electrical devices generate electromagnetic signals with different frequencies and intensities during operation, and their position distributions will affect the overall electromagnetic environment. In addition, it may also include the vehicle's exterior design information, such as the streamline of the vehicle body, the positions and sizes of the windows, etc. These factors will also affect the propagation of electromagnetic signals around the vehicle.

[0084] In this solution, data interaction can be carried out with the design database of the vehicle. For example, by using specific interface protocols and data transmission methods, the basic structure information of the vehicle can be read from the database. Also, various sensors installed on the vehicle, such as lidar, cameras, etc., can be used to perform real-time scanning and measurement of the vehicle's structure to obtain information such as the positions of relevant components. Additionally, the layout and parameter information of the electrical system can be obtained from the vehicle's electronic control system. After obtaining the relevant information, an electromagnetic topology analysis algorithm can be used to construct an electromagnetic topology model of the vehicle based on the obtained basic structure information of the vehicle. This model simulates the propagation characteristics of electromagnetic signals inside and around the vehicle, including phenomena such as signal reflection, refraction, and scattering, and combines the electromagnetic signal frequency bands, coverage ranges, etc. of the composite electromagnetic sensors, and uses the installation position decision model to evaluate different positions.

[0085] The technical solution provided in this embodiment can accurately determine the installation position of the composite electromagnetic sensor by obtaining and analyzing the basic structure information of the vehicle. Compared with the traditional method of choosing the installation position based on experience or randomly, this accurate positioning method based on the actual structure and electromagnetic characteristics of the vehicle can improve the accuracy and effectiveness of the sensor in obtaining environmental electromagnetic signals. The sensor can capture electromagnetic interference signals at different positions and frequency bands around the vehicle more comprehensively, providing a more accurate data basis for subsequent electromagnetic interference identification and processing, and ensuring the stable operation of the vehicle's electronic system in a complex electromagnetic environment.

[0086] In one embodiment, optionally, the installation position determination module 250 is specifically configured to:

[0087] Obtain the basic structure information of the vehicle;

[0088] Input the basic structure information into an intelligent position selection algorithm for the intelligent position selection algorithm to determine the installation position of the composite electromagnetic sensor based on the electromagnetic radiation characteristics of vehicle components; wherein, the vehicle components include at least one of an engine, an electronic control unit, and a communication module.

[0089] Among them, the intelligent position selection algorithm can accurately calculate the optimal installation position of the composite electromagnetic sensor according to the basic structure information of the vehicle and the electromagnetic radiation characteristics of vehicle components. For example, machine learning technology can be used to construct an algorithm model that can accurately simulate the propagation and interference laws of electromagnetic signals through learning a large amount of vehicle electromagnetic environment data.

[0090] Among them, as the power source of the vehicle, the engine involves complex mechanical movements and electrical processes during operation, generating strong and complex electromagnetic radiation. The ignition system of the engine is one of the main electromagnetic interference sources. The spark plug generates high-frequency pulsed currents at the moment of ignition, and these currents will radiate into the surrounding space in the form of electromagnetic waves. Its frequency range is relatively wide and may interfere with other in-vehicle electronic devices. In addition, the generator of the engine also generates electromagnetic signals during the power generation process, and its harmonic components may interfere with the vehicle's communication and control systems.

[0091] The Electronic Control Unit (ECU) is the core of the vehicle electronic system, responsible for controlling and managing various functions of the vehicle, such as engine control, transmission control, and braking system control, etc. A large number of integrated circuits and microprocessors are integrated inside the ECU, and specific-frequency electromagnetic signals will be generated during operation. Due to the high-precision and stability requirements of its operation, the ECU is vulnerable to external electromagnetic interference and may also become a source of interference to other devices. For example, the high-frequency electromagnetic radiation generated by the ECU when processing high-speed data may interfere with nearby sensors and communication lines.

[0092] The communication module may include in-vehicle Bluetooth, Wi-Fi, 4G / 5G communication, and vehicle-to-everything (V2X) communication, etc. The communication module transmits and receives wireless signals in specific frequency bands during operation.

[0093] In this solution, the installation position determination module transmits the obtained vehicle infrastructure information to the input port of the algorithm according to the data format and interface specifications required by the intelligent position selection algorithm. After the intelligent position selection algorithm receives the infrastructure information, it first activates the data preprocessing sub-module to clean and extract features from the input information, remove noise and redundant data, and extract key features related to electromagnetic radiation. Then, the electromagnetic radiation modeling sub-module establishes electromagnetic radiation models for each vehicle component based on these features and the physical characteristics of the vehicle components, and simulates the electromagnetic radiation distribution under different working conditions. The position evaluation sub-module determines a series of candidate installation positions according to the electromagnetic radiation model and the performance requirements of the sensor, and conducts multi-dimensional evaluations on each candidate position. The evaluation indicators include the intensity of the electromagnetic signals received at this position, the stability of the signals, the distance from potential interference sources, the ease of installation, and the impact on the original vehicle structure, etc. Finally, the algorithm sorts the candidate positions according to the comprehensive scores and selects the position with the highest score as the best installation position for the composite electromagnetic sensor.

[0094] This solution determines the installation location of the composite electromagnetic sensor by inputting the basic structure information of the vehicle into the intelligent location selection algorithm and fully considering the electromagnetic radiation characteristics of vehicle components, enabling precise optimization of the sensor installation location. Compared with traditional methods for determining the installation location, this approach based on scientific algorithms and actual electromagnetic environment analysis greatly improves the sensing accuracy and coverage range of the sensor for environmental electromagnetic signals. The sensor can more effectively capture the electromagnetic interference signals generated by key vehicle components, providing more accurate and comprehensive data support for subsequent electromagnetic interference identification and processing, thereby enhancing the anti-interference ability of the vehicle electronic system in a complex electromagnetic environment and ensuring the safe and stable operation of the vehicle.

[0095] Based on the above embodiments, optionally, the environmental electromagnetic signal acquisition module is further configured to:

[0096] Use an orthogonally polarized antenna array to obtain the signal differences received by the antennas in different polarization directions of the environmental electromagnetic signal;

[0097] Determine the direction of the environmental electromagnetic signal according to the signal differences received by the antennas in different polarization directions.

[0098] The orthogonally polarized antenna array can be a specially designed antenna combination structure composed of two groups of antennas placed perpendicular to each other. Polarization refers to the orientation and variation mode of the electric field vector of an electromagnetic wave. In space, the electric field vector can vibrate in different directions. The orthogonally polarized antenna array uses two groups of perpendicular antennas to be able to sense electromagnetic signals in different polarization directions respectively. In this solution, microstrip antenna technology or dipole antenna technology can be used for design. Microstrip antennas have the advantages of small size, light weight, and easy integration. By reasonably designing the shape, size, and feeding method of the microstrip antenna, efficient reception of electromagnetic signals in a specific polarization direction can be achieved. Dipole antennas have good directivity and frequency characteristics. By placing two groups of dipole antennas perpendicular to each other, electromagnetic signals with horizontal polarization and vertical polarization can be effectively distinguished.

[0099] The orthogonally polarized antenna array can provide more dimensional information for the analysis of environmental electromagnetic signals, especially information about the signal polarization direction, which is crucial for accurately identifying the characteristics and direction of electromagnetic interference sources.

[0100] The polarization direction is the orientation of the electric field vector of an electromagnetic wave in space. In a homogeneous isotropic medium, the electric field vector of an electromagnetic wave usually vibrates in a specific plane, and the orientation of this plane determines the polarization direction of the electromagnetic wave. Common polarization methods include horizontal polarization, vertical polarization, and circular polarization, etc.

[0101] In this solution, when acquiring the environmental electromagnetic signal, the hardware device of the orthogonal polarization antenna array can be enabled. Through the internal control circuit and interface, power supply, signal transmission channels, etc. are provided for the orthogonal polarization antenna array. At the same time, the working parameters of the antenna array are configured, such as setting the gain, bandwidth, etc. of the antenna, to ensure that it can work in a suitable state.

[0102] Two groups of mutually perpendicular antennas in the orthogonal polarization antenna array respectively sense the electric field components of the environmental electromagnetic signal in different polarization directions. When the electromagnetic signal is incident on the antenna array, each group of antennas will convert the sensed electric field signal into a weak electrical signal. The signal conditioning circuit in the environmental electromagnetic signal acquisition module amplifies, filters, etc. these weak electrical signals to improve the signal quality and intensity. Then, the analog electrical signal is converted into a digital signal through a high-speed analog-to-digital converter and transmitted to the processing unit of the module. The processing unit collects and records these digital signals, thereby obtaining the signal differences received by the environmental electromagnetic signal in the antennas in different polarization directions. These differences are manifested as differences in parameters such as the amplitude and phase of the signal. After receiving the signal difference data of the antennas in different polarization directions, corresponding signal processing algorithms can be used to determine the direction of the environmental electromagnetic signal. These algorithms are based on electromagnetic principles and signal processing theories, and use the differences in amplitude, phase, etc. of the signals received by the antennas in different polarization directions to infer the incident direction of the electromagnetic signal through calculation and analysis.

[0103] In this technical solution, by using the orthogonal polarization antenna array to obtain the signal differences of the environmental electromagnetic signal in different polarization directions and determining the signal direction based on this, the environmental electromagnetic signal acquisition module can provide more accurate information for the automotive electromagnetic interference monitoring system. Compared with the traditional monitoring method that only focuses on signal strength and frequency, this acquisition of signal polarization direction and direction information can more accurately identify the type and location of electromagnetic interference sources.

[0104] Embodiment III

[0105] Based on the above embodiments, this embodiment is further optimized. Specifically, the optimization is as follows: The specific event recognition module includes: a communication protocol acquisition unit for acquiring the type of communication protocol transmitted by the signal transmission cable currently used by the vehicle; a sample collection unit for collecting normal signal samples and interference signal samples under interference conditions; an error code detection model training unit for performing machine learning based on the normal signal samples and the interference signal samples to obtain an error code detection model; and an output unit for outputting a specific event indicating whether there is a signal error in the signal transmitted by the current signal transmission cable based on the error code detection model. Figure 3 It is a schematic structural diagram of the electromagnetic interference recognition device for an automotive signal transmission cable provided in Embodiment III of the present application. As Figure 3As shown, the specific event recognition module 320 includes:

[0106] A communication protocol acquisition unit 321, configured to acquire the type of communication protocol transmitted by the signal transmission cable currently used by the vehicle;

[0107] A sample collection unit 322, configured to collect normal signal samples and interference signal samples under interference conditions;

[0108] An error code detection model training unit 323, configured to perform machine learning based on the normal signal samples and the interference signal samples to obtain an error code detection model;

[0109] An output unit 324, configured to output a specific event indicating whether there is a signal error in the signal transmitted by the current signal transmission cable based on the error code detection model.

[0110] A communication protocol is the rules and standards followed when different devices in an automotive electronic system communicate with each other. Different communication protocols have different characteristics and application scenarios. For example, the CAN (Controller Area Network) protocol is a serial communication protocol widely used in vehicles, with characteristics such as high reliability and strong real-time performance. It uses differential signal transmission, can effectively resist electromagnetic interference, and is commonly used in systems with high requirements for safety and real-time performance such as engine control and chassis control. The CAN protocol stipulates the format of data frames, including frame ID, data length, and data content, etc., and ensures that multiple nodes can transmit data orderly through a bus arbitration mechanism. The LIN (Local Interconnect Network) protocol is mainly used for some low-speed and low-complexity communication scenarios inside the vehicle, such as door control and seat adjustment. The LIN protocol adopts a master-slave structure, where a master node is responsible for managing the communication of multiple slave nodes. The communication rate is relatively low, but the implementation cost is also low. The FlexRay protocol has advantages such as high bandwidth, determinism, and strong fault tolerance, and is suitable for automotive applications with extremely high requirements for communication rate and reliability, such as steer-by-wire and brake-by-wire systems. The FlexRay protocol adopts a time-triggered mechanism, which can precisely control the time of data transmission to ensure the real-time performance and stability of the system.

[0111] In this solution, the communication protocol acquisition unit 321 is connected to the signal transmission cable of the vehicle through a hardware interface to monitor the electrical signals transmitted on the cable in real time. Using signal processing technologies, these electrical signals are demodulated, decoded, etc., and key features in the signals are extracted, such as the frame header, frame tail, synchronization signal, and data encoding method, etc. Then, the extracted features are compared with the feature templates of various pre-stored communication protocols, and the type of communication protocol used for the current signal transmission is determined according to the matching result. In the comparison process, pattern recognition and machine learning algorithms are adopted to improve the accuracy and efficiency of protocol recognition.

[0112] Normal signal samples are a set of signal data collected from the receiving end of the signal transmission cable when the automotive electronic system is operating normally without being affected by obvious electromagnetic interference or other faults. These samples represent the signal characteristics of the communication protocol under ideal working conditions, including parameters such as the amplitude, frequency, phase, and encoding format of the signal. Normal signal samples are the basis for the subsequent training of the error code detection model, and are used to let the model learn the characteristics of normal signals.

[0113] Interference signal samples are a set of signal data collected from the receiving end of the signal transmission cable when the vehicle is affected by various interference sources. The interference sources can be electromagnetic radiation generated by other electronic devices inside the vehicle, or electromagnetic interference in the external environment, such as radio signals, electromagnetic radiation from high-voltage transmission lines, etc. Interference signal samples contain different types and degrees of interference information, such as signal error codes, amplitude fluctuations, phase offsets, and noise superposition, etc., and are used to let the model learn the change characteristics of signals under interference conditions, thereby improving the model's ability to detect error codes.

[0114] The sample collection unit 322 continuously monitors the signals at the receiving end of the signal transmission cable. When the vehicle is in a normal operating state, the signals are collected at regular time intervals and sampling frequencies, and the collected signal data is stored to form normal signal samples. During the collection process, preprocessing operations such as filtering and amplification are performed on the signals to improve the signal quality. To collect interference signal samples, various interference scenarios can be simulated, such as placing an electromagnetic interference generator around the vehicle, or using the faults of the vehicle's own electronic devices to generate interference. When interference occurs, the signals are also collected and stored according to certain rules to form interference signal samples. At the same time, relevant information such as the time of interference occurrence, the type and intensity of the interference source are recorded for subsequent analysis and annotation of the samples.

[0115] In the training of the error code detection model, the machine learning algorithm automatically discovers the feature patterns in the signal by learning the normal signal samples and interference signal samples, so as to construct a model that can accurately detect the error codes in the signal. Common machine learning algorithms include supervised learning, unsupervised learning, and reinforcement learning, etc. In this scenario, the supervised learning algorithm is mainly used because there are clear sample labels to guide the training of the model.

[0116] The error code detection model can be used to determine whether there are error codes in the signals transmitted by the signal transmission cable. Through learning a large number of normal signal samples and interference signal samples, this model has grasped the characteristic differences between normal signals and error code signals. In practical applications, the signal to be detected is input into the model, and the model analyzes and judges the signal according to the learned feature patterns, and outputs the result of whether there are error codes in the signal. The error code detection model can adopt various forms, such as neural network models, decision tree models, support vector machine models, etc.

[0117] In this solution, the error code detection model training unit 323 inputs the normal signal samples and interference signal samples into the selected machine learning algorithm. First, preprocess the sample data, such as operations like normalization and feature extraction, to improve the training effect of the model. Then, divide the sample data into a training set and a test set. The training set is used for training the model, and the test set is used to evaluate the performance of the model. During the training process, the model continuously adjusts its own parameters and tries to minimize the error between the prediction result and the actual sample labels. Specifically, an optimization algorithm is used to update the parameters of the model, so that the classification accuracy of the model for the samples in the training set is continuously improved. After multiple iterative trainings, the model gradually converges and achieves better performance. Finally, use the test set to evaluate the trained model, and further optimize and adjust the model according to the evaluation results.

[0118] Signal error code refers to the phenomenon that the signal received at the receiving end is inconsistent with the original signal sent by the sending end due to the influence of various interference factors during the signal transmission process. In digital communication, signals are usually transmitted in the form of binary codes, and signal error codes are manifested as errors in the values of some binary bits, such as 0 becoming 1 or 1 becoming 0. Signal error codes may cause problems such as data transmission errors and communication failures, and have a serious impact on the normal operation of automotive electronic systems. Therefore, accurately detecting signal error codes is an important link to ensure the reliability of automotive electronic systems.

[0119] The output unit 324 inputs the real-time signal transmitted by the current signal transmission cable into the trained error code detection model. The model extracts and analyzes the features of the input signal, and determines whether there is an error code in the signal according to the learned feature patterns. The output unit outputs the judgment result of the model in a clear form, such as outputting "there is a signal error code" or "there is no signal error code", or representing the probability of the existence of a signal error code in the form of a probability value. The output result can be transmitted to other modules of the automotive electronic system through the interface for triggering corresponding fault handling mechanisms or performing status display and other operations.

[0120] In this technical solution, by accurately identifying the type of communication protocol used by the vehicle, collecting comprehensive normal and interference signal samples, constructing an accurate error code detection model using machine learning technology and outputting the signal error code detection result, it is possible to efficiently and accurately detect the signal error situation in the vehicle signal transmission cable. Moreover, this solution can adapt to different communication protocols and complex electromagnetic environments, improving the accuracy of error code detection.

[0121] In one embodiment, optionally, the specific event recognition module 320 further includes:

[0122] An interruption detection model training unit 325, which is used to perform machine learning on the characteristics of the interruption signal changing with time based on the normal signal samples and the interference signal samples to obtain an interruption detection model;

[0123] The output unit 324 is further configured to output a specific event indicating whether there is a signal interruption in the signal transmitted by the current signal transmission cable based on the interruption detection model.

[0124] The characteristics of the interruption signal changing with time refer to the laws and characteristics presented by the various parameters of the signal over time when a signal interruption occurs during the signal transmission process. For example, before the signal interruption, phenomena such as a gradual decrease in signal amplitude, frequency drift, or increased phase jitter may occur; and at the moment of signal interruption, the signal amplitude may suddenly drop to zero or close to zero.

[0125] This solution can determine whether there is a signal interruption in the signal transmitted by the current signal transmission cable by learning the characteristics of the interruption signal changing with time in the normal signal samples and the interference signal samples. This model can adopt a variety of machine learning algorithms, such as time series analysis algorithms, such as the ARIMA model, LSTM network, etc. These algorithms can capture the dynamic characteristics of the signal changing with time, thereby achieving accurate detection of signal interruption.

[0126] Signal interruption means that during signal transmission, the signal suddenly stops transmitting or fails to receive a valid signal normally for a period of time. This may be caused by various reasons, such as electromagnetic interference, cable damage, and equipment failure. Signal interruption will lead to the discontinuity of data transmission, seriously affecting the communication and cooperation among components in the automotive electronic system, and may cause a series of faults and safety hazards.

[0127] In this solution, the interrupted signal parts in the normal signal samples and interference signal samples can be extracted and arranged in chronological order to form time series data. Then, the selected machine learning algorithm is used to train these time series data. Taking the LSTM network as an example, during the training process, the time series data is used as the input, and the signal features of each time period are used as input vectors. Through the internal memory units and gating mechanisms, the network learns the dependency relationships and changing rules of the signal between different time periods. In each training iteration, the model adjusts the weight parameters of the network using the backpropagation algorithm according to the error between the predicted interruption situation and the actual sample labels, continuously optimizing the performance of the model until a good training effect is achieved, thereby obtaining an interruption detection model.

[0128] The output unit 324 inputs the real-time signal transmitted by the current signal transmission cable into the trained interruption detection model, processes the input signal, and judges whether there is a signal interruption. The output unit presents the judgment result of the model in a clear form, such as outputting "There is a signal interruption" or "There is no signal interruption", or representing the possibility of signal interruption with a probability value. This output result can be received and utilized by other modules of the automotive electronic system so as to take corresponding measures in a timely manner, such as alarming, re-establishing a communication connection, etc.

[0129] This solution can further accurately detect the signal interruption situation in the signal transmission cable on the basis of detecting signal error codes. And it can use the model to discover potential risks of signal interruption in advance or determine the occurrence of signal interruption in a timely manner, which helps the automotive electronic system to quickly respond to signal interruption problems, take effective recovery measures, and ensure the continuity of data transmission and the stability of the system.

[0130] In one embodiment, optionally, the specific event recognition module 320 further includes:

[0131] A damage detection model training unit 326, which is used to perform machine learning on fault features based on the normal signal samples and interference signal samples of various electronic components in different damaged states to obtain a damage detection model;

[0132] The output unit 324 is further used to output a specific event indicating whether there is damage to an electronic component in the signal transmitted by the current signal transmission cable based on the damage detection model.

[0133] In automotive electronic systems, there are numerous electronic components with different functions and types. For example, resistors are used to limit current and regulate voltage; capacitors can store and release electrical energy and play roles such as filtering and coupling; inductors work based on the principle of electromagnetic induction and are commonly used for energy storage, filtering, and impedance matching. Integrated circuit chips are the core of automotive electronic systems. For instance, a microcontroller (Micro Controller Unit, MCU) is responsible for controlling and processing various data, and a sensor interface chip is used to process signals transmitted from sensors. In addition, there are semiconductor devices such as diodes and transistors, which play important roles in signal amplification, switch control, etc.

[0134] Electronic components may be in various damaged states. Taking resistors as an example, the resistance value may become larger, smaller, or even short-circuited; capacitors may experience problems such as leakage, decreased capacitance, or breakdown; integrated circuit chips may have issues such as open pins, internal circuit short-circuits, and program errors. Different damaged states will cause changes in the electrical performance of electronic components, thereby affecting the working state of the circuit where they are located and generating interference signals with different characteristics.

[0135] When an electronic component is in a damaged state, it will generate signal characteristics with specific rules and features in the signal transmission cable, and these characteristics are fault characteristics. Fault characteristics can be manifested as abnormal signal amplitude, such as sudden increase or decrease, frequency offset, phase change, and the appearance of abnormal harmonic components. For example, a short-circuit of a certain electronic component may cause a sharp increase in signal amplitude, while an open circuit may cause the signal amplitude to drop to zero. Different types and damaged states of electronic components will generate different fault characteristics. By analyzing these characteristics, it is possible to determine whether an electronic component is damaged and the type of damage.

[0136] A damage detection model can determine whether there is a situation of electronic component damage in the signal transmitted by the current signal transmission cable based on the fault characteristics contained in normal signal samples and interference signal samples of various electronic components in different damaged states. This model can adopt various machine learning algorithms, such as support vector machine (SVM), decision tree, and convolutional neural network (CNN) in deep learning. Through learning a large number of samples, the model can automatically extract fault characteristics and classify them, thereby achieving accurate detection of electronic component damage.

[0137] This solution can detect the state where the electrical performance of an electronic component has undergone an irreversible change due to various reasons, such as overvoltage, overcurrent, high temperature, aging, and mechanical vibration, and it cannot normally perform its designed functions. The damage of electronic components will affect the normal operation of the entire electronic system, which may lead to problems such as abnormal signal transmission, incorrect control instructions, and equipment failures. In severe cases, it may even affect the safety and reliability of the vehicle.

[0138] The damage detection model training unit first extracts fault features from normal signal samples and interference signal samples of various electronic components in different damaged states. For example, its frequency components can be analyzed, and local features of the signal can be captured, etc. Then, the extracted fault features are used as input data and input into a selected machine learning algorithm for training. Taking a convolutional neural network as an example, during the training process, the network will automatically learn the patterns and rules of the fault features. Through multiple iterations, the model continuously adjusts the weight parameters of the network, so that the classification accuracy of the fault features in the samples by the model is continuously improved. Specifically, the samples are divided into a training set and a validation set. The model is trained on the training set, and the performance of the model is evaluated on the validation set. According to the validation results, the model is optimized and adjusted until the model reaches better performance, thus obtaining the damage detection model.

[0139] The output unit can input the real-time signal transmitted by the current signal transmission cable into the trained damage detection model. The model extracts and analyzes the fault features of the input signal, and judges whether there are signs of electronic component damage in the signal according to the fault feature patterns it has learned. The output unit outputs the judgment result of the model in a clear form, such as outputting "there is damage to an electronic component" or "there is no damage to an electronic component", or expressing the possibility of electronic component damage as a probability value.

[0140] Through the detection of electronic component damage, this solution can further accurately detect the damage of electronic components in the automotive electronic system. By learning the fault features of normal signals and interference signals in different damaged states based on machine learning, the damage of electronic components can be quickly and accurately identified. This helps automotive maintenance personnel to timely discover faulty components, perform repairs and replacements, and reduce the time and cost of fault troubleshooting.

[0141] Embodiment 4

[0142] Figure 4 is a schematic flowchart of the electromagnetic interference identification method for an automotive signal transmission cable provided in Embodiment 4 of this application. As Figure 4 shown, it specifically includes the following steps:

[0143] S401. Obtain environmental electromagnetic signals through a composite electromagnetic sensor installed at a specific location on the vehicle;

[0144] S402. Identify whether there is a specific event in the signal received by the receiving end of the signal transmission cable; wherein, the specific event includes any one or more of signal error code, signal interruption, and electronic component damage;

[0145] S403. In the case of a specific event, identify that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within the coupling range;

[0146] S404. When within the coupling range, determine that there is electromagnetic interference, and when it is recognized that the information of the environmental electromagnetic signal weakens, re - execute the transmission of relevant information.

[0147] Further, the method further includes:

[0148] Obtain the basic structure information of the vehicle, and determine the installation position of the composite electromagnetic sensor according to the basic structure information.

[0149] The technical solution provided in this embodiment obtains the environmental electromagnetic signal through a composite electromagnetic sensor installed at a specific position of the vehicle; identifies whether there is a specific event in the signal received by the receiving end of the signal transmission cable; wherein, the specific event includes any one or more of signal error code, signal interruption, and damage of electronic components; when there is a specific event, identify that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within the coupling range; when within the coupling range, determine that there is electromagnetic interference, and when it is recognized that the information of the environmental electromagnetic signal weakens, re - execute the transmission of relevant information. Through such a setting, this solution accurately judges whether there are problems such as interference in the transmission process by identifying the electromagnetic signals in the environment through a pre - set electromagnetic sensor and combining the signals received by the receiving end of the signal transmission cable, so as to improve the accuracy of signal transmission during the operation of the vehicle and improve the experience of passengers.

[0150] The method for identifying electromagnetic interference of the vehicle signal transmission cable provided in the embodiment of the present application corresponds to the device for identifying electromagnetic interference of the vehicle signal transmission cable provided in the above - mentioned embodiment, and has the same execution process and beneficial effects. To avoid repetition, it will not be elaborated here.

[0151] Embodiment Five

[0152] As Figure 5 shown, the embodiment of the present application further provides an electronic device 500, including a processor 501, a memory 502, a program or instruction stored on the memory 502 and executable on the processor 501. When the program or instruction is executed by the processor 501, it realizes each process of the above - mentioned embodiment of the device for identifying electromagnetic interference of the vehicle signal transmission cable, and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0153] It should be noted that the electronic device in the embodiment of the present application includes the above - mentioned mobile electronic device and non - mobile electronic device.

[0154] Embodiment Six

[0155] An embodiment of the present application further provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, it implements each process of the above-mentioned embodiment of the electromagnetic interference recognition device for an automotive signal transmission cable and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0156] Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, etc.

[0157] Embodiment Seven

[0158] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run a program or instruction to implement each process of the above-mentioned embodiment of the electromagnetic interference recognition device for an automotive signal transmission cable and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0159] It should be understood that the chip mentioned in the embodiment of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip, etc.

[0160] It should be noted that in this article, the term "comprising", "including" or any other variation thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of another identical element in the process, method, article or device including that element. In addition, it should be pointed out that the methods and devices in the embodiments of the present application are not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0161] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described example methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0162] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific implementation manners. The above specific implementation manners are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

[0163] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it can also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. An electromagnetic interference identification device for a vehicle signal transmission cable, characterized in that: The device comprises: An environmental electromagnetic signal acquisition module is used to acquire environmental electromagnetic signals through a composite electromagnetic sensor installed at a specific position of the vehicle; A specific event identification module, used to identify whether a specific event occurs in a signal received by a receiving end of the signal transmission cable; wherein the specific event includes any one or more of a signal error, a signal interruption, and damage to an electronic component; An impact identification module, used for identifying that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within a coupling range when a specific event occurs; The electromagnetic interference processing module is used to determine the existence of electromagnetic interference within the coupling range, and re-execute the transmission of relevant information when it is identified that the environmental electromagnetic signal information is weakened.

2. The electromagnetic interference identification device for automobile signal transmission cable according to claim 1, characterized in that: The device also includes: The installation position determination module is used to obtain the basic structure information of the car and determine the installation position of the composite electromagnetic sensor according to the basic structure information.

3. The electromagnetic interference identification device for automobile signal transmission cable according to claim 2, characterized in that: The installation position determination module is specifically used for: Get the basic structural information of the car; The infrastructure information is input into an intelligent location selection algorithm for determining an installation location of the composite electromagnetic sensor based on electromagnetic radiation characteristics of an automobile component, wherein the automobile component includes at least one of an engine, an electronic control unit, and a communication module.

4. The electromagnetic interference identification device for automobile signal transmission cable according to claim 1, characterized in that: The environmental electromagnetic signal acquisition module is also used for: Using an orthogonal polarization antenna array to obtain the difference in signals received by antennas in different polarization directions of the environmental electromagnetic signal; The direction of the environmental electromagnetic signal is determined according to the difference in signals received by antennas in different polarization directions.

5. The electromagnetic interference identification device for automobile signal transmission cable according to claim 1, characterized in that: The specific event identification module includes: A communication protocol acquisition unit, used to acquire the type of communication protocol currently transmitted by the signal transmission cable used by the car; A sample collection unit, used for collecting normal signal samples and interference signal samples under interference conditions; An error detection model training unit, used for performing machine learning based on the normal signal samples and the interference signal samples to obtain an error detection model; The output unit is used to output a specific event of whether a signal error occurs in the signal transmitted by the current signal transmission cable based on the error detection model.

6. The electromagnetic interference identification device for automobile signal transmission cable according to claim 5, characterized in that: The specific event identification module further includes: An interruption detection model training unit, configured to perform machine learning on the characteristics of the interruption signal that vary over time based on the normal signal samples and the interference signal samples, to obtain an interruption detection model; The output unit is further used to output a specific event of whether a signal interruption occurs in the signal currently transmitted by the signal transmission cable based on the interruption detection model.

7. The electromagnetic interference identification device for automobile signal transmission cable according to claim 5, characterized in that: The specific event identification module further includes: A damage detection model training unit, used for performing machine learning of fault characteristics based on the normal signal samples and the interference signal samples of the various electronic components in different damage states to obtain a damage detection model; The output unit is further used to output, based on the damage detection model, whether the signal transmitted by the current signal transmission cable contains a specific event of electronic component damage.

8. A method for identifying electromagnetic interference of a vehicle signal transmission cable, characterized in that: The method comprises: Acquire environmental electromagnetic signals through composite electromagnetic sensors installed at specific locations of the vehicle; Identify whether a specific event occurs in a signal received by a receiving end of a signal transmission cable; wherein the specific event includes any one or more of a signal error, a signal interruption, and damage to an electronic component; In the presence of a specific event, identifying that the environmental electromagnetic signal and the transmission signal of the signal transmission cable are within a coupling range; In the case of being within the coupling range, it is determined that electromagnetic interference exists, and when it is identified that the environmental electromagnetic signal information is weakened, the transmission of relevant information is re-executed.

9. The electromagnetic interference identification method of the automobile signal transmission cable according to claim 8, characterized in that: The method further comprises: The basic structure information of the vehicle is obtained, and the installation position of the composite electromagnetic sensor is determined according to the basic structure information.

10. An electronic device, characterized in that: It comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein when the program or instruction is executed by the processor, the steps of the electromagnetic interference identification method for an automobile signal transmission cable as described in any one of claims 8 to 9 are implemented.

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