Wiring harness noise current anti-interference structure

Abstract

The invention relates to a signal interference suppression technology, and particularly discloses a wiring harness noise current anti-interference structure, which comprises a noise shielding layer module, a distributed grounding module, a resonance suppressor and an intelligent regulation and control module, the noise shielding layer module suppresses high-frequency radiation noise and low-frequency induction noise through a composite shielding structure; the distributed grounding module optimizes a grounding path and reduces loop impedance through a mesh grounding topological structure and a dynamic grounding switching model, and adjusts the grounding path in real time to adapt to interference of different frequency bands; the resonance suppressor is used for realizing discrete adjustment of resonant frequency; the intelligent regulation and control module collects electromagnetic field parameters and noise spectrum data and inputs the electromagnetic field parameters and the noise spectrum data into the long-short-term memory network. According to the invention, the anti-interference capability of the wire harness in a complex electromagnetic environment can be improved, and the stability and safety of the system are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of signal interference suppression, and more specifically, to a wiring harness noise current anti-interference structure. Background Art

[0002] In modern aviation, industry and automobile fields, wiring harnesses are widely used in flight control systems, industrial automation equipment and vehicle electronic control systems as key channels for electrical signal and data transmission. However, with the increase in system complexity, the wiring density of wiring harnesses has gradually increased, the signal transmission environment has become more complex, and the wiring harnesses are susceptible to various forms of electromagnetic interference (EMI). This interference may come from internal devices (such as high-power electronic components, motors and switching power supplies) or external environments (such as lightning, wireless communication equipment and other electronic systems). These interferences not only lead to a decrease in signal transmission quality, but may also cause system failures, and in severe cases may threaten the safety of equipment or personnel. For example, in the aviation field, traditional wired avionics rely on complex wiring harness networks, which usually require additional redundant designs to improve reliability, but at the same time increase system weight and maintenance costs. According to statistics, the total length of the wiring harness of a large commercial aircraft (such as the Boeing 747) can reach hundreds of kilometers, and the weight accounts for about 2%-5% of the total weight of the aircraft, which leads to a decrease in fuel efficiency and an increase in maintenance difficulty. At the same time, avionics systems have extremely high requirements for the real-time and reliability of signal transmission, and any slight interference may cause flight safety issues.

[0003] The existing public patent 1 (new energy wiring harness anti-interference shielding optimization method, device, equipment and storage medium, CN119089844A) provides a new energy wiring harness anti-interference shielding optimization device, which is composed of a sampling module, a transformation module, a processing module, a calculation module, a creation module and an optimization module. The device performs signal sampling and data processing, performance index calculation and filtering parameter optimization, and multi-stage filtering structure construction and vehicle optimization steps to collaboratively realize the optimization process. However, the device needs to consume a large amount of computing resources during signal processing and optimization calculation, which will put forward high requirements on the performance of the vehicle-mounted computing device. On some devices with limited computing power, there may be running jams or processing delays, affecting the real-time performance and response speed of the system; the existing public patent 2 (a home appliance harness that can reduce noise conduction interference, CN210245110U) provides a home appliance harness that can reduce noise conduction interference. The home appliance harness body is composed of a variety of materials. The innermost layer is an anti-interference layer made of brass, which can reduce noise conduction interference through electrostatic shielding; the middle layer is an insulating layer made of polystyrene foam plastic, and its closed-cell structure can effectively reduce noise conduction; the outermost layer is a corrosion-resistant layer made of polytetrafluoroethylene, which can improve corrosion resistance. In addition, the corrosion-resistant layer is provided with equally distributed vacuum annular cavities to block the noise conduction path; there are also uniformly distributed arc-shaped protrusions integrated with the corrosion-resistant layer on the annular side wall of the harness body, which can not only reduce noise conduction, but also play an anti-slip role. However, the wire harness uses brass as the anti-interference layer, polystyrene foam as the insulation layer, and polytetrafluoroethylene as the corrosion-resistant layer, and the corrosion-resistant layer is also provided with special structures such as a vacuum annular cavity. These materials and processes will increase the production cost. Compared with ordinary wire harnesses, its price will be higher.

[0004] Therefore, how to reduce the electromagnetic interference of the wiring harness system while ensuring the real-time performance of the system and reducing economic costs has become an important technical problem that needs to be solved in the aviation, industrial and automotive fields. Although existing shielding technology and filters can suppress EMI to a certain extent, they still have limitations in complex electromagnetic environments, such as uneven suppression of high-frequency and low-frequency noise, high installation complexity, and insufficient dynamic adaptability. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a noise shielding layer module adopting a multi-layer composite structure to cope with noise interference in different frequency bands; the mesh topology and dynamic switching model of the distributed grounding module optimize the grounding path, reduce the loop impedance, adapt to the changing electromagnetic environment in real time, and reduce noise current and signal interference; the resonance inhibitor adjusts the inductance and capacitance values ​​in a variety of ways to achieve discrete adjustment of the resonant frequency; by collecting electromagnetic field and noise data, and pre-processing the collected data and inputting it into a long short-term memory network, the future noise parameters are predicted through training, and the resonance inhibitor is dynamically adjusted accordingly to achieve intelligent anti-interference, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A wire harness noise current anti-interference structure includes a noise shielding layer module, a distributed grounding module, a resonance suppressor and an intelligent control module; the noise shielding layer module suppresses high-frequency radiation noise and low-frequency induction noise through a composite shielding structure; the distributed grounding module optimizes the grounding path, reduces the loop impedance, and adjusts the grounding path in real time to adapt to interference in different frequency bands through a mesh grounding topology structure and a grounding switching model; the resonance suppressor is introduced to realize discrete adjustment of the resonant frequency; the intelligent control module inputs the collected electromagnetic field parameters and noise spectrum data into a long short-term memory network to predict future noise parameters;

[0008] The distributed grounding module monitors the electromagnetic environment around the wiring harness in real time, establishes a grounding switching model, and dynamically adjusts the grounding path to adapt to interference in different frequency bands; the goal of the grounding switching model is to minimize the noise current I of the wiring harness system. n and signal interference S i The comprehensive impact of is calculated as follows: Wherein, P(t) is the set of grounding paths selected at time t; T is the time range for the operation of the grounding switching model; I n (t,f) is the noise current intensity on the harness at time t and frequency f; S i (t,f) is the amplitude of the signal interference at time t and frequency f; w 1 is the first weight factor, which indicates the influence weight of noise current on the system; w 2 is the second weight factor, which represents the influence weight of signal interference on the system.

[0009] As a further solution of the present invention, the constraints of the ground switching model are:

[0010] (1) Total impedance of the ground path:

[0011] (2) Physical limitations of each grounding path: P(t)∈{P 1 ,P 2 ,…,P n}, where Z total (P(t)) represents the total impedance of the selected ground path; R g (P(t)) is the resistance of the ground path; j is the imaginary unit; w is the angular frequency of the interference signal; L g (P(t)) is the inductance of the ground path; C g (P(t)) is the capacitance of the ground path; Z max is the maximum allowable impedance; P 1 is the first grounding path; P 2 is the second ground path; P n is the nth ground path.

[0012] As a further solution of the present invention, the noise shielding layer module suppresses high-frequency radiation noise and low-frequency induction noise through a composite shielding structure, including the following specific contents: In order to effectively suppress the influence of electromagnetic interference on the transmission of wiring harness signals, the characteristics of high-frequency noise and low-frequency noise, the electromagnetic characteristics of shielding materials and the actual application environment of the wiring harness are comprehensively considered. The high-frequency noise mainly affects the wiring harness through radiation, and the low-frequency noise mostly interferes with signal transmission in the form of induced current. For the high-frequency noise and low-frequency noise, the noise shielding layer module adopts a multi-layer composite shielding structure. The noise shielding layer module includes an outer shielding layer, an intermediate absorbing layer and an inner protective layer. The outer shielding layer adopts a highly conductive metal material, such as copper foil or aluminum foil. Copper has excellent conductivity and shielding effectiveness and is one of the common outer shielding materials. Aluminum has the characteristics of light weight and low cost. The metal material can effectively shield high-frequency noise through reflection and absorption mechanisms. In addition, in order to further optimize the shielding effect of high-frequency noise, a metallized coating or plating is added to the surface of the metal shielding layer to enhance its shielding effectiveness.

[0013] The intermediate absorbing layer is made of magnetic material, such as ferrite or nickel-based composite material, which has high magnetic permeability and good low-frequency absorption performance. The ferrite material can absorb low-frequency noise through its internal hysteresis effect and dissipate it by converting it into heat energy. In addition, by designing the magnetic material into a granular form, its adaptability and performance in a complex wiring harness environment can be further enhanced.

[0014] The inner protective layer is made of a high temperature resistant and corrosion resistant polymer material, which can not only effectively protect the inner shielding layer from the influence of the external environment, but also improve the mechanical strength and flexibility of the wiring harness.

[0015] As a further solution of the present invention, the distributed grounding module optimizes the grounding path, reduces the loop impedance, and adjusts the grounding path in real time to adapt to the interference of different frequency bands through a mesh grounding topology and a dynamic grounding switching model, including the following specific contents: the distributed grounding module improves the anti-interference ability of the wiring harness system by optimizing the grounding path, reducing the loop impedance and improving electromagnetic compatibility. The distributed grounding module adopts a mesh grounding topology, and the mesh grounding topology improves the reliability of the system through redundant connections. The distributed grounding module also reduces the potential difference between different grounding points by increasing local ground connection points and using equipotential busbars.

[0016] The electromagnetic environment of the wiring harness is complex and changeable, and the noise spectrum distribution changes with time and space. The distributed grounding module monitors the electromagnetic environment around the wiring harness in real time, establishes a grounding switching model, and dynamically adjusts the grounding path to adapt to interference in different frequency bands.

[0017] The distributed grounding module is made of highly conductive metal material. To enhance the environmental adaptability of the distributed grounding module, a high temperature resistant and anti-oxidation protective layer can be coated on the surface of the metal material. The protective layer is an epoxy resin coating, thereby improving the stability of the grounding module in high humidity, high temperature and corrosive environments. At the same time, in order to increase the reliability of the distributed grounding module, a redundant design is introduced. The redundant design is to configure a main grounding path and a backup grounding path for each key wiring harness. When the main grounding path fails due to damage or high impedance problems, the backup path can automatically take over to ensure the normal operation of the system.

[0018] As a further solution of the present invention, a resonance suppressor is introduced to achieve discrete adjustment of the resonant frequency, including the following specific contents: the resonance suppressor is composed of an LC filter circuit, which uses the resonance principle between the inductor and the capacitor to form a high impedance (noise suppression) or low impedance (noise bypass) characteristic in the target frequency band. The basis of the resonance suppressor is the determination of the resonant frequency, which is jointly determined by the parameters of the inductor and the capacitor. The resonant frequency formula is: Among them, f 0 is the resonant frequency, L is the inductance value, and C is the capacitance value. By adjusting the inductance value L and the capacitance value C, the suppression frequency can be adjusted to the target noise frequency band.

[0019] In order to cope with noise interference in different frequency bands, the resonance suppressor dynamically adjusts the inductance L and capacitance C in the resonance circuit to achieve the resonance frequency. The invention comprises a varactor diode, an electrically controlled magnetic material and a multi-stage switching network. In the varactor diode, the capacitance value C thereof changes with the change of the external reverse bias voltage V, and the relationship thereof is expressed as: Among them, C 0 is the capacitance value under zero bias, Vb is the built-in voltage. By adjusting the reverse bias voltage, the varactor diode can quickly adjust the frequency range of the resonant circuit, and is suitable for dealing with rapidly changing high-frequency noise. On the other hand, the magnetically controlled inductor adjusts the inductance value by changing the magnetic field strength around the inductor material. The relationship between its inductance and magnetic field strength can be expressed as: L = L 0 (1+χH), where L 0 is the initial inductance value, χ is the magnetic susceptibility of the material, and H is the strength of the applied magnetic field. In a complex electromagnetic environment, the multi-stage switching network is used to achieve discrete frequency regulation. By connecting multiple LC circuits with different parameters in parallel or in series and using an electronic switch to control the conduction path, the resonance suppressor can switch between multiple preset frequency bands. The calculation formula is: Where i is the frequency band index, f 0,i is the resonant frequency of the resonance suppressor in the i-th frequency band, L i is the inductance parameter of the resonance suppressor in the ith frequency band, C i is the capacitance parameter of the resonance suppressor in the i-th frequency band.

[0020] The performance of the resonance suppressor depends not only on its frequency selectivity, but also on the quality factor (Q). The quality factor is defined as: Among them, w 0 is the resonant angular frequency, L is the inductance value, and R is the loop resistance. A resonator with a high quality factor has a steeper frequency response near the resonant frequency, which can accurately suppress noise in the target frequency band, but may cause delays to the signal; a resonator with a low quality factor has a wider frequency bandwidth and can cover a wider range of noise spectrum, but the suppression effect on specific frequencies is weaker.

[0021] As a further solution of the present invention, the intelligent control module inputs the collected electromagnetic field parameters and noise spectrum data into the long short-term memory network to predict future noise parameters, including the following specific contents: the intelligent control module collects electromagnetic field parameter data and noise spectrum data around the wiring harness in real time through the sensor array, and the electromagnetic field parameter data includes the noise current intensity I n (t,f), the amplitude of the signal being disturbed S i (t, f) and electromagnetic field strength E(t, f); the noise spectrum data includes the noise amplitude A n (t,f), noise power spectral density P n (t,f) and spectral characteristics F n(t). The collected electromagnetic field parameter data and noise spectrum data are preprocessed, and the preprocessing includes denoising and filtering, normalization and feature extraction. The denoising and filtering are to remove environmental noise and irrelevant frequency components in the collected data by using low-pass, high-pass or band-pass filters; the normalization is to standardize the data range to [0,1] or [-1,1]; the feature extraction adopts time domain feature extraction, which directly extracts features from time series signals to describe the statistical characteristics of the signal in the time dimension. After preprocessing, the electromagnetic field parameter data and noise spectrum data are segmented according to time windows, and each window includes the data of the most recent 1 second, which are input into the neural network model in the form of n×m, where n is the time step and m is the data dimension of each time step.

[0022] The neural network model uses a long short-term memory network (LSTM). Each time window (input feature) in the data set is equipped with a target value, which is the main frequency and amplitude of the noise in the next time step. The data is divided into a training set, a validation set, and a test set in a ratio of 7:2:1. The long short-term memory network includes an input layer, an LSTM layer, a fully connected layer, and an output layer. The input layer is responsible for receiving n×m time series data; the LSTM layer is used to extract the long-term and short-term features of the time series; the fully connected layer is used to map the high-dimensional features of the LSTM output to the prediction target; the output layer outputs the noise frequency and amplitude of the future time step. The long short-term memory network uses a mean square error loss function to calculate the error between the predicted value and the true value: in, is the predicted value, y i The LSTM network uses the Adam optimizer with a learning rate of 0.001, and uses the input features and target values ​​as training data for 50 iterations. After each iteration, the validation set is used to evaluate the model performance to prevent overfitting.

[0023] The steps of predicting future noise frequency and amplitude based on historical data and current state of the long short-term memory network are as follows:

[0024] In step Z1, the electromagnetic field parameters and noise spectrum data of the latest n time steps around the harness are input into the trained LSTM network. The historical data passes through the input gate, forget gate, memory unit and output gate in the network in sequence to extract the key features in the time series.

[0025] Step Z2: The LSTM network passes the hidden state generated by the output gate to the fully connected layer and maps it to the target value, i.e., the interference frequency f at the next time step. pred and amplitude A pred .

[0026] Step Z3, according to the predicted interference frequency f pred, adjust the parameters of the resonance inhibitor and dynamically set the resonance frequency f res , the calculation formula is:

[0027] The technical effects and advantages of a wire harness noise current anti-interference structure of the present invention are as follows: the noise shielding layer module of the present invention adopts a multi-layer composite structure, the outer metal shielding layer effectively reflects and absorbs high-frequency noise, the middle absorbing layer uses magnetic materials to convert low-frequency noise into heat energy, and the inner protective layer ensures the stability of the internal structure, which can cope with noise interference in different frequency bands. The mesh topology and dynamic switching model of the distributed grounding module can optimize the grounding path, reduce the loop impedance, adapt to the changing electromagnetic environment in real time, reduce noise current and signal interference, and the redundant design and protective layer enhance reliability and adaptability. By adjusting the inductance and capacitance values ​​in a variety of ways, the resonant frequency can be discretely adjusted, which can suppress or bypass noise in different frequency bands, and the appropriate quality factor can be selected according to demand to balance the suppression effect and signal delay. The intelligent control module collects electromagnetic field and noise data and inputs them into the long short-term memory network after pre-processing. After training, it predicts future noise parameters, and dynamically adjusts the resonance suppressor accordingly to achieve intelligent anti-interference. The overall structure effectively overcomes the problems of uneven suppression effect, complex installation and poor dynamic adaptability of existing technologies in complex electromagnetic environments, improves the anti-interference ability of the wiring harness in complex electromagnetic environments, ensures system stability and safety, reduces the risk of failures caused by electromagnetic interference, reduces the need for redundant design, and helps to improve equipment performance and reduce costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of a wiring harness noise current anti-interference structure of the present invention.

[0029] Figure 2 It is a structural schematic diagram of a new energy wiring harness anti-interference shielding optimization device in the prior art.

[0030] Figure 3 The present invention is a schematic diagram of the structure of a household wiring harness that can reduce noise conduction interference in the prior art. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Example 1

[0033] See also Figure 1As shown in the schematic diagram, an embodiment of the present invention provides a wiring harness noise current anti-interference structure, which includes a noise shielding layer module, a distributed grounding module, a resonance inhibitor and an intelligent control module; the noise shielding layer module suppresses high-frequency radiation noise and low-frequency induction noise through a composite shielding structure; the distributed grounding module optimizes the grounding path, reduces the loop impedance, and adjusts the grounding path in real time to adapt to interference in different frequency bands through a mesh grounding topology structure and a dynamic grounding switching model; the resonance inhibitor realizes discrete adjustment of the resonant frequency; the intelligent control module inputs the collected electromagnetic field parameters and noise spectrum data into a long short-term memory network to predict future noise parameters.

[0034] In this embodiment, see Figure 2 The structural diagram shown is a new energy wiring harness anti-interference shielding optimization device provided in the prior art, which is composed of a sampling module, a transformation module, a processing module, a calculation module, a creation module and an optimization module. The device performs signal sampling and data processing, performance index calculation and filtering parameter optimization, and multi-stage filtering structure construction and vehicle optimization steps to collaboratively realize the optimization process. However, the device consumes a large amount of computing resources during the signal processing and optimization calculation process, which places high demands on the performance of the on-board computing device. On some devices with limited computing power, there may be running jams or processing delays, affecting the real-time performance and response speed of the system. Figure 3 The structural schematic diagram shown is a kind of home appliance harness that can reduce noise conduction interference provided in the prior art. The main body of the home appliance harness is composed of a variety of materials. The innermost layer is an anti-interference layer made of brass, which can reduce noise conduction interference through electrostatic shielding; the middle layer is an insulating layer made of polystyrene foam plastic, and its closed-cell structure can effectively reduce noise conduction; the outermost layer is a corrosion-resistant layer made of polytetrafluoroethylene, which can improve corrosion resistance. In addition, the corrosion-resistant layer is provided with vacuum annular cavities distributed equally, which can block the noise conduction path; there are also uniformly distributed arc-shaped protrusions integrated with the corrosion-resistant layer on the annular side wall of the harness body, which can not only reduce noise conduction, but also play an anti-slip role. However, the home appliance harness uses brass as the anti-interference layer, polystyrene foam plastic as the insulation layer and polytetrafluoroethylene as the corrosion-resistant layer, and the corrosion-resistant layer is also provided with special structures such as vacuum annular cavities. These materials and processes will increase production costs. Compared with ordinary home appliance harnesses, its price will be higher.

[0035] Furthermore, the noise shielding layer module suppresses high-frequency radiation noise and low-frequency induction noise through a composite shielding structure, including: in order to effectively suppress the influence of electromagnetic interference on the signal transmission of the wiring harness, the characteristics of high-frequency noise and low-frequency noise, the electromagnetic characteristics of the shielding material and the actual application environment of the wiring harness are comprehensively considered. The high-frequency noise mainly affects the wiring harness through radiation, and the low-frequency noise mostly interferes with signal transmission in the form of induced current. For the high-frequency noise and low-frequency noise, the noise shielding layer module adopts a multi-layer composite shielding structure. The noise shielding layer module includes an outer shielding layer, an intermediate absorbing layer and an inner protective layer. The outer shielding layer adopts a highly conductive metal material, such as copper foil or aluminum foil. Copper has excellent conductivity and shielding effectiveness and is one of the common outer shielding materials. Aluminum has the characteristics of light weight and low cost. The metal material can effectively shield high-frequency noise through reflection and absorption mechanisms. In addition, in order to further optimize the shielding effect of high-frequency noise, a metallized coating or plating is added to the surface of the metal shielding layer to enhance its shielding effectiveness.

[0036] The intermediate absorbing layer is made of magnetic material, such as ferrite or nickel-based composite material, which has high magnetic permeability and good low-frequency absorption performance. The ferrite material can absorb low-frequency noise through its internal hysteresis effect and dissipate it by converting it into heat energy. In addition, by designing the magnetic material into a granular form, its adaptability and performance in a complex wiring harness environment can be further enhanced.

[0037] The inner protective layer is made of a high temperature resistant and corrosion resistant polymer material, which can not only effectively protect the inner shielding layer from the influence of the external environment (such as high humidity, high temperature and chemical corrosion), but also improve the mechanical strength and flexibility of the wiring harness.

[0038] Furthermore, the distributed grounding module optimizes the grounding path, reduces the loop impedance, and adjusts the grounding path in real time to adapt to the interference of different frequency bands through a mesh grounding topology and a dynamic grounding switching model, including: the distributed grounding module improves the anti-interference ability of the wiring harness system by optimizing the grounding path, reducing the loop impedance and improving electromagnetic compatibility. The distributed grounding module adopts a mesh grounding topology, and the mesh grounding topology improves the reliability of the system through redundant connections. The distributed grounding module also reduces the potential difference between different grounding points by increasing local ground connection points and using equipotential busbars.

[0039] The electromagnetic environment of the wiring harness is complex and changeable, and the noise spectrum distribution will change with time and space. The distributed grounding module monitors the electromagnetic environment around the wiring harness in real time, establishes a grounding switching model, and dynamically adjusts the grounding path to adapt to interference in different frequency bands. The goal of the grounding switching model is to minimize the noise current I of the wiring harness system. n and signal interference Si The comprehensive impact of is calculated as follows: Wherein, P(t) is the set of grounding paths selected at time t; T is the time range for the operation of the grounding switching model; I n (t,f) is the noise current intensity on the harness at time t and frequency f; S i (t,f) is the amplitude of the signal interference at time t and frequency f; w 1 is the first weight factor, which indicates the influence weight of noise current on the system; w 2 is the second weight factor, which represents the influence weight of signal interference on the system;

[0040] The constraints of the ground switching model are:

[0041] (1) Total impedance of the ground path:

[0042] (2) Physical limitations of each grounding path: P(t)∈{P 1 ,P 2 ,…,P n}, where Z total (P(t)) represents the total impedance of the selected ground path; R g (P(t)) is the resistance of the ground path; j is the imaginary unit; w is the angular frequency of the interference signal; L g (P(t)) is the inductance of the ground path; C g (P(t)) is the capacitance of the ground path; Z max is the maximum allowable impedance; P 1 is the first grounding path; P 2 is the second ground path; P n is the nth ground path.

[0043] The distributed grounding module is made of highly conductive metal material. To enhance the environmental adaptability of the distributed grounding module, a high temperature resistant and anti-oxidation protective layer can be coated on the surface of the metal material. The protective layer is an epoxy resin coating, thereby improving the stability of the grounding module in high humidity, high temperature and corrosive environments. At the same time, in order to increase the reliability of the distributed grounding module, a redundant design is introduced. The redundant design is to configure a main grounding path and a backup grounding path for each key wiring harness. When the main grounding path fails due to damage or high impedance problems, the backup path can automatically take over to ensure the normal operation of the system.

[0044] Furthermore, the resonance suppressor is used to achieve discrete adjustment of the resonant frequency, including: the resonance suppressor is composed of an LC filter circuit, which uses the resonance principle between the inductor and the capacitor to form a high impedance (noise suppression) or low impedance (noise bypass) characteristic in the target frequency band. The basis of the resonance suppressor is the determination of the resonant frequency, which is jointly determined by the parameters of the inductor and the capacitor. The resonant frequency formula is: Among them, f 0 is the resonant frequency, L is the inductance value, and C is the capacitance value. By adjusting the inductance value L and the capacitance value C, the suppression frequency can be adjusted to the target noise frequency band.

[0045] In order to cope with noise interference in different frequency bands, the resonance suppressor dynamically adjusts the inductance L and capacitance C in the resonance circuit to achieve the resonance frequency. The invention comprises a varactor diode, an electrically controlled magnetic material and a multi-stage switching network. In the varactor diode, the capacitance value C thereof changes with the change of the external reverse bias voltage V, and the relationship thereof is expressed as: Among them, C 0 is the capacitance value under zero bias, V b is the built-in voltage. By adjusting the reverse bias voltage, the varactor diode can quickly adjust the frequency range of the resonant circuit, and is suitable for dealing with rapidly changing high-frequency noise. On the other hand, the magnetically controlled inductor adjusts the inductance value by changing the magnetic field strength around the inductor material. The relationship between its inductance and magnetic field strength can be expressed as: L = L 0 (1+χH), where L 0 is the initial inductance value, χ is the magnetic susceptibility of the material, and H is the strength of the applied magnetic field. In a complex electromagnetic environment, the multi-stage switching network is used to achieve discrete frequency regulation. By connecting multiple LC circuits with different parameters in parallel or in series and using an electronic switch to control the conduction path, the resonance suppressor can switch between multiple preset frequency bands. The calculation formula is: Where i is the frequency band index, f 0,i is the resonant frequency of the resonance suppressor in the i-th frequency band, L i is the inductance parameter of the resonance suppressor in the ith frequency band, C i is the capacitance parameter of the resonance suppressor in the i-th frequency band.

[0046] The performance of the resonance suppressor depends not only on its frequency selectivity, but also on the quality factor (Q). The quality factor is defined as: Among them, w 0is the resonant angular frequency, L is the inductance value, and R is the loop resistance. A resonator with a high quality factor has a steeper frequency response near the resonant frequency, which can accurately suppress the noise in the target frequency band, but may cause delays to the signal; a resonator with a low quality factor has a wider frequency bandwidth and can cover a wider range of noise spectrum, but the suppression effect on specific frequencies is weaker. Therefore, in actual design, it is necessary to weigh and select the appropriate quality factor according to the needs of the application scenario.

[0047] Furthermore, the intelligent control module inputs the collected electromagnetic field parameters and noise spectrum data into the long short-term memory network to predict future noise parameters, including: the intelligent control module collects electromagnetic field parameter data and noise spectrum data around the wiring harness in real time through the sensor array, and the electromagnetic field parameter data includes the noise current intensity I n (t,f), the amplitude of the signal being disturbed S i (t, f) and electromagnetic field strength E(t, f); the noise spectrum data includes the noise amplitude A n (t,f), noise power spectral density P n (t,f) and spectral characteristics F n (T). The collected electromagnetic field parameter data and noise spectrum data are preprocessed, and the preprocessing includes denoising and filtering, normalization and feature extraction. The denoising and filtering are to remove environmental noise and irrelevant frequency components in the collected data by using low-pass, high-pass or band-pass filters; the normalization is to standardize the data range to [0,1] or [-1,1]; the feature extraction adopts time domain feature extraction, which directly extracts features from time series signals to describe the statistical characteristics of the signal in the time dimension. After preprocessing, the electromagnetic field parameter data and noise spectrum data are segmented according to time windows, and each window includes the data of the most recent 1 second, which are input into the neural network model in the form of b×m, where n is the time step and m is the data dimension of each time step.

[0048] The neural network model uses a long short-term memory network (LSTM). Each time window (input feature) in the data set is equipped with a target value, which is the main frequency and amplitude of the noise in the next time step. The data is divided into a training set, a validation set, and a test set in a ratio of 7:2:1. The long short-term memory network includes an input layer, an LSTM layer, a fully connected layer, and an output layer. The input layer is responsible for receiving n×m time series data; the LSTM layer is used to extract the long-term and short-term features of the time series; the fully connected layer is used to map the high-dimensional features of the LSTM output to the prediction target; the output layer outputs the noise frequency and amplitude of the future time step. The long short-term memory network uses a mean square error loss function to calculate the error between the predicted value and the true value: in, is the predicted value, yi is the true value. The LSTM network uses the Adam optimizer with a learning rate of 0.001. The input features and target values ​​are used as training data for 50 iterations. After each iteration, the validation set is used to evaluate the model performance to prevent overfitting. The following is a Python language code example. The training process of the LSTM network is:

[0049]

[0050]

[0051]

[0052] The steps of predicting future noise frequency and amplitude based on historical data and current state of the long short-term memory network are as follows:

[0053] In step Z1, the electromagnetic field parameters and noise spectrum data of the latest n time steps around the harness are input into the trained LSTM network. The historical data passes through the input gate, forget gate, memory unit and output gate in the network in sequence to extract the key features in the time series.

[0054] Step Z2: The LSTM network passes the hidden state generated by the output gate to the fully connected layer and maps it to the target value, i.e., the interference frequency f at the next time step. pred and amplitude A pred .

[0055] Step Z3, according to the predicted interference frequency f pred , adjust the parameters of the resonance inhibitor and dynamically set the resonance frequency f res , the calculation formula is:

[0056] The noise shielding layer module of the present invention adopts a multi-layer composite structure. The outer metal shielding layer effectively reflects and absorbs high-frequency noise. The middle absorbing layer uses magnetic materials to convert low-frequency noise into heat energy. The inner protective layer ensures the stability of the internal structure and can cope with noise interference in different frequency bands. The mesh topology and dynamic switching model of the distributed grounding module can optimize the grounding path, reduce the loop impedance, adapt to the changing electromagnetic environment in real time, reduce noise current and signal interference, and the redundant design and protective layer enhance reliability and adaptability. The resonance suppressor adjusts the inductance and capacitance values ​​in a variety of ways to achieve discrete adjustment of the resonant frequency. It can play a suppressing or bypassing role for noise in different frequency bands, and can select the appropriate quality factor to balance the suppression effect and signal delay according to demand. The intelligent control module collects electromagnetic field and noise data and inputs them into the long short-term memory network after preprocessing. After training, it predicts future noise parameters, and dynamically adjusts the resonance suppressor accordingly to achieve intelligent anti-interference. The overall structure effectively overcomes the problems of uneven suppression effect, complex installation and poor dynamic adaptability of existing technologies in complex electromagnetic environments, improves the anti-interference ability of the wiring harness in complex electromagnetic environments, ensures system stability and safety, reduces the risk of failures caused by electromagnetic interference, reduces the need for redundant design, and helps to improve equipment performance and reduce costs.

[0057] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0058] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A wiring harness noise current anti-interference structure, characterized in that: It includes a noise shielding layer module, a distributed grounding module, a resonance suppressor and an intelligent control module; the noise shielding layer module suppresses high-frequency radiation noise and low-frequency induction noise through a composite shielding structure; the distributed grounding module optimizes the grounding path, reduces the loop impedance, and adjusts the grounding path in real time to adapt to interference in different frequency bands through a mesh grounding topology structure and a grounding switching model; The resonance inhibitor is used for discrete adjustment of the resonance frequency; the intelligent control module inputs the collected electromagnetic field parameters and noise spectrum data into the long short-term memory network to predict future noise parameters; The distributed grounding module monitors the electromagnetic environment around the wiring harness in real time, establishes a grounding switching model, and dynamically adjusts the grounding path to adapt to interference in different frequency bands; the goal of the grounding switching model is to minimize the noise current I of the wiring harness system. n and signal interference S i The comprehensive impact of is calculated as follows: Wherein, P(t) is the set of grounding paths selected at time t; T is the time range for the operation of the grounding switching model; I n (t,f) is the noise current intensity on the harness at time t and frequency f; S i (t,f) is the amplitude of signal interference at time t and frequency f; w1 is the first weight factor, which represents the weight of the influence of noise current on the system; w2 is the second weight factor, which represents the weight of the influence of signal interference on the system.

2. A wiring harness noise current anti-interference structure according to claim 1, characterized in that ,The constraints of the ground switching model are respectively: (1) Total impedance of the ground path: (2) Physical constraints of each grounding path: P(t)∈{P1,P2,…,P n }, where Z total (P(t)) represents the total impedance of the selected ground path; R g (P(t)) is the resistance of the ground path; j is the imaginary unit; w is the angular frequency of the interference signal; L g (P(t)) is the inductance of the ground path; C g (P(t)) is the capacitance of the ground path; Z max is the maximum allowable impedance; P1 is the first grounding path; P2 is the second grounding path; P n is the nth ground path.

3. The wiring harness noise current anti-interference structure according to claim 1 is characterized in that ,The specific steps of the intelligent control module collecting electromagnetic field parameters and noise spectrum data and ,inputting into the long short-term memory network to predict future noise ,parameters are as follows: Step Z1, input the electromagnetic field parameters and noise spectrum data of the latest n time steps around the harness into the trained LSTM network, and the historical data passes through the input gate, forget gate, memory unit and output gate in the network in sequence to extract the key features in the time series; Step Z2: The LSTM network passes the hidden state generated by the output gate to the fully connected layer and maps it to the target value, i.e., the interference frequency f at the next time step. pred and amplitude A pred ; Step Z3, according to the predicted interference frequency f pred , adjust the parameters of the resonance inhibitor and dynamically set the resonance frequency f res , the calculation formula is: res =f pred , Among them, L is the inductance value and C is the capacitance value.

4. The wiring harness noise current anti-interference structure according to claim 1, characterized in that: The adjustable technology is to achieve the resonant frequency by dynamically adjusting the inductance L and capacitance C in the resonant circuit. The invention relates to a real-time adjustment of a varactor diode, an electrically controlled magnetic material and a switching network; in the varactor diode, the capacitance value C thereof changes with the change of the external reverse bias voltage V, and the relationship thereof is expressed as follows: Where C0 is the capacitance value under zero bias, V b is a built-in voltage; by adjusting the reverse bias voltage, the varactor diode can quickly adjust the frequency range of the resonant circuit, and is suitable for dealing with rapidly changing high-frequency noise.

5. The wiring harness noise current anti-interference structure according to claim 1, characterized in that: The magnetically controlled inductor adjusts the inductance value by changing the magnetic field strength around the inductor material. The relationship between its inductance and magnetic field strength can be expressed as: L=L0(1+χH), where L0 is the initial inductance value, χ is the magnetic susceptibility of the material, and H is the external magnetic field strength.

6. The wiring harness noise current anti-interference structure according to claim 1, characterized in that: In a complex electromagnetic environment, LC circuits with different parameters are connected in parallel or in series, and the conduction path is controlled by an electronic switch. The resonance suppressor switches between preset frequency bands to achieve discrete frequency adjustment. The calculation formula is: Where i is the frequency band index, f 0,i is the resonant frequency of the resonance suppressor in the i-th frequency band, L i is the inductance parameter of the resonance suppressor in the ith frequency band, C i is the capacitance parameter of the resonance suppressor in the i-th frequency band.

7. The wiring harness noise current anti-interference structure according to claim 1, characterized in that: The noise shielding layer module includes an outer shielding layer, an intermediate absorbing layer and an inner protective layer. The outer shielding layer adopts copper foil or aluminum foil metal material, shields high-frequency noise through reflection and absorption mechanism, and adds metallized coating or plating on the surface to enhance the shielding effectiveness; the intermediate absorbing layer adopts ferrite or nickel-based composite material, absorbs low-frequency noise through hysteresis effect and converts it into heat energy dissipation; the inner protective layer is made of high temperature resistant and corrosion-resistant polymer material, protects the internal shielding layer and improves the mechanical strength and flexibility of the wiring harness.

8. The wiring harness noise current anti-interference structure according to claim 1, characterized in that: The distributed grounding module adopts a mesh grounding topology structure, improves reliability through redundant connections, and increases local ground connection points and uses equipotential bus bars to reduce potential differences.

9. The wiring harness noise current anti-interference structure according to claim 1, characterized in that: The intelligent control module segments the preprocessed data according to time windows and inputs them into the long short-term memory network in the form of n×m, where n is the time step and m is the data dimension of each time step.

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