Electromagnetic compatibility automatic detection optimization method and system

Abstract

The invention discloses an electromagnetic compatibility automatic detection optimization method and system, and the method comprises the steps: calculating the initial frequency of equipment, measuring the intensity of an interference source, and carrying out the recursion feedback of the frequency of the equipment and the intensity of the interference source according to environment conditions; the environment weight is dynamically adjusted, the placing position and the signal receiving angle of the test equipment are optimized, and the interference source intensity is further adjusted in combination with the environment condition; the test data in the equipment test process are classified, the working time periods of multiple equipment are scheduled, and it is ensured that the multiple equipment can be tested without mutual interference. The working parameters of the equipment can be automatically adjusted according to the real-time data, manual intervention can be reduced, and the testing efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of electromagnetic compatibility testing, and relates to an electromagnetic compatibility automatic detection optimization method and system. Background Art

[0002] With the widespread application of electronic equipment in all walks of life, the electromagnetic radiation generated by electronic equipment and the equipment's ability to withstand external electromagnetic interference have become important contents in electromagnetic compatibility (EMC) testing. The main goal of electromagnetic compatibility testing is to ensure that the equipment can operate stably in various complex electromagnetic environments without causing electromagnetic interference to surrounding equipment or the environment. As the complexity and integration of electronic equipment continue to increase, the problem of electromagnetic interference between devices has become more prominent, so the requirements for electromagnetic compatibility are also constantly increasing.

[0003] In electromagnetic compatibility testing, test equipment usually needs to be tested at different operating frequencies to evaluate its anti-interference ability and electromagnetic radiation level in various frequency bands. Traditional electromagnetic compatibility testing relies on manual operation and fixed test processes. Parameters such as test frequency and interference source strength are usually pre-set before the test begins, and cannot be dynamically adjusted during the test according to changes in the environment and equipment status. In addition, with the diversification of test scenarios, the environmental conditions such as temperature, humidity, and electric field distribution of electronic equipment have an increasingly significant impact on test results. How to adaptively adjust test equipment according to real-time environmental conditions has become an important challenge in electromagnetic compatibility testing.

[0004] Existing electromagnetic compatibility testing technologies lack effective consideration of environmental factors and recursive feedback control mechanisms, which can easily lead to deviations in test results due to environmental changes or unstable equipment working conditions. They are unable to stabilize the working conditions of the equipment through adaptive adjustment mechanisms, and thus are unable to guarantee the accuracy of the test and optimize the placement of the equipment, resulting in low test efficiency and accuracy. Summary of the invention

[0005] In order to solve the deficiencies in the prior art, the present invention provides an electromagnetic compatibility automated detection optimization method and system.

[0006] The present invention adopts the following technical solution.

[0007] The first aspect of the present invention provides an electromagnetic compatibility automated detection optimization method, comprising:

[0008] Measure the initial interference source strength, monitor the electromagnetic environment in real time, calculate the initial frequency of the electromagnetic compatibility automated testing equipment, and recursively update the frequency and interference source strength of the equipment based on changes in temperature, humidity, and electric field strength in the environment;

[0009] Dynamically adjust the environment weight based on the updated device frequency and interference source strength after recursive feedback, optimize the placement of the test equipment and the signal reception angle according to the dynamically adjusted environment weight, and further adjust the interference source strength;

[0010] Based on the recursive feedback updated device frequency and the adjusted interference source strength, the test data in the device testing process is classified, and the working time periods of multiple devices are scheduled according to the classified data and the adjusted interference source strength of each device to ensure that multiple devices can complete the test without interfering with each other.

[0011] Preferably, the calculation formula of the initial frequency is:

[0012]

[0013] Among them, f init is the initial frequency of the device, which is the initial frequency of the electromagnetic interference emitted by the device when it is tested;

[0014] P init is the initial interference source strength;

[0015] N is the number of sampling points; i is the index of the sampling point;

[0016] f max is the maximum test frequency of the device;

[0017] T and H are the temperature and humidity of the environment, respectively;

[0018] α is the environmental correction factor.

[0019] Preferably, the recursive feedback update formula of the frequency is as follows:

[0020]

[0021] Among them, f n+1 To recursively feedback the updated device frequency;

[0022] f n is the device frequency of the current recursive level;

[0023] n is the recursive level index;

[0024] η f is the learning rate of frequency;

[0025] β is the adjustment factor;

[0026] ΔP n is the change in the intensity of the interference source at the current recursive level.

[0027] Preferably, the recursive feedback update formula of the interference source strength is as follows:

[0028]

[0029] Among them, P n+1 is the interference source strength after recursive feedback update;

[0030] P n is the interference source strength at the current recursive level;

[0031] n is the recursive level index;

[0032] η P is the learning rate of the interference source strength;

[0033] γ P is the interference source intensity feedback responsiveness coefficient;

[0034] κ P is the environmental adaptation coefficient of the interference source strength;

[0035] ΔE n is the change in electric field strength;

[0036] T n is the ambient temperature at the current recursive level;

[0037] H n is the humidity of the current recursive level.

[0038] Preferably, the environment weight is dynamically adjusted based on the device frequency and interference source strength after recursive feedback update, and the formula is as follows:

[0039]

[0040] Among them, w env,adj is the adjusted environmental weight;

[0041] V is the integrated volume of the physical space region where the test equipment is located;

[0042] E f (x,y,z) is given by f n+1 and P n+1 The affected electric field distribution function;

[0043] f n+1 and P n+1 is the device frequency and interference source strength after recursive feedback update;

[0044] (x0, y0, z0) is the initial placement of the device;

[0045] T and H are the temperature and humidity in the current environment respectively;

[0046] σ is the standard deviation of the device location distribution;

[0047] λ is the humidity correction factor.

[0048] Preferably, the electric field distribution function is:

[0049]

[0050] Where d(x,y,z) is the distance from the device location (x,y,z) to the interference source;

[0051] t is the time.

[0052] Preferably, the further adjustment formula of the interference source strength is as follows:

[0053]

[0054] Among them, P adj is the adjusted interference source strength;

[0055] w env,adj is based on adjusted environmental weights;

[0056] Ω is the physical space range or test area where the electromagnetic compatibility test is performed;

[0057] E(t) is the electric field strength at time t;

[0058] θ is the adjustment factor of the signal receiving angle;

[0059] Y and H are the temperature and humidity in the current environment respectively;

[0060] is the standard deviation of the device position fluctuation range;

[0061] φ is the frequency adjustment factor;

[0062] f n+1 is the device frequency after recursive feedback update.

[0063] Preferably, the test data in the device test process is classified based on the recursive feedback updated device frequency and the adjusted interference source strength, and the formula is as follows:

[0064]

[0065] Among them, D class (t) is the classified data at time t;

[0066] X k (t) is the test data of the kth device at time t during the test;

[0067] P adj is the adjusted interference source strength;

[0068] f n+1 is the device frequency after recursive feedback update;

[0069] T k is the influence of ambient temperature on the kth device;

[0070] M is the number of devices;

[0071] γ k is the classification adjustment factor;

[0072] ΔE k is the change in electric field intensity emitted by the kth test device.

[0073] Preferably, the working time periods of multiple devices are scheduled according to the classified data and the interference source strength adjusted by each device, and the formula is as follows:

[0074]

[0075] Among them, T sched is the working period of each device;

[0076] P adj (k) is the interference source strength after adjustment of the kth device;

[0077] D class (t) is the classified data at time t;

[0078] is the scheduling adjustment factor;

[0079] f n+1 is the device frequency after recursive feedback update;

[0080] T k and H k are the temperature and humidity of the environment of the kth device respectively.

[0081] The second aspect of the present invention provides an electromagnetic compatibility automated detection optimization system, comprising:

[0082] The recursive feedback update module is used to measure the initial interference source strength, monitor the electromagnetic environment in real time, calculate the initial frequency of the electromagnetic compatibility automation detection equipment, and recursively feedback and update the frequency and interference source strength of the equipment according to the changes in temperature, humidity and electric field strength in the environment;

[0083] Interference source strength adjustment module, used to dynamically adjust the environment weight based on the device frequency and interference source strength updated by recursive feedback, optimize the placement of the test equipment and the signal receiving angle according to the adjusted environment weight, and further adjust the interference source strength;

[0084] The multi-device collaborative detection module is used to classify the test data during the device testing process based on the device frequency updated by recursive feedback and the adjusted interference source strength, and schedule the working time periods of multiple devices according to the classified data and the adjusted interference source strength of each device to ensure that multiple devices can complete the test without interfering with each other.

[0085] A third aspect of the present invention provides a terminal, comprising a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method.

[0086] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method when executed by a processor.

[0087] Compared with the prior art, the beneficial effects of the present invention include at least:

[0088] 1. When calculating the initial frequency, the present invention combines the maximum frequency of the device and the initial interference source strength, and utilizes the distribution of sine and cosine functions to ensure that the frequency distribution is extensive and adaptable to a variety of test scenarios. At the same time, the correction of frequency by temperature and humidity has environmental adaptive characteristics. The environmental correction factor α is introduced to adjust the initial frequency by utilizing the influence of environmental temperature and humidity. By adjusting α, it can automatically adapt to the influence of the external environment on the electromagnetic compatibility test, thereby improving the test accuracy. This calculation method is highly flexible and can dynamically calculate the initial frequency and interference source strength according to the maximum frequency of the device, the interference source strength and the external environmental conditions, thereby improving the adaptability of the system; at the same time, it has strong adaptability and is corrected by environmental factors (such as temperature and humidity), ensuring the accuracy of the test process and the stability of the equipment under different environments.

[0089] 2. The present invention adopts a multi-layer recursive and feedback mechanism to recursively feedback and update the frequency and interference source strength of the device according to the changes in the temperature, humidity and electric field strength in the environment. The present invention recursively feedback and update the frequency and interference source strength of the device according to the changes in the temperature, humidity and electric field strength in the environment. The frequency and interference source strength of the device can be dynamically adjusted to adapt to the environment, and the working parameters of the device can be automatically adjusted according to real-time data, which can reduce manual intervention, improve test efficiency, and ensure the accuracy and stability of the test process.

[0090] The present invention combines the time derivative when recursively feedback updating the frequency of the device Dynamically adjust the frequency to cope with frequency changes, and not only consider the frequency change, but also the change in the intensity of the interference source, using the modification factor Smooth response to changes in interference source strength makes frequency adjustment more sensitive.

[0091] When the interference source strength of the device is updated by recursive feedback, the electric field strength change ΔE is considered. n and ambient temperature and humidity difference |T n -H n | Dynamically adjust the intensity of the interference source to accurately reflect the actual environmental impact, through the change of the electric field strength (ΔE n ) square term strengthens the effect of electric field change on the interference source intensity regulation, ensuring that the fluctuation of electromagnetic interference can have an effective impact on the interference source intensity.

[0092] The present invention adjusts η in each recursive process. f , η p , γ p , k p , β controls the adjustment range of frequency and interference source strength and the influence of environmental factors, thereby optimizing the adjustment pace of frequency and interference source strength.

[0093] The present invention can ensure that the frequency and interference source strength can be adjusted in real time with time changes, environmental changes and electric field feedback, avoiding the instability of the equipment under fixed frequency and interference source strength. By comprehensively considering the influence of changes in ambient temperature and humidity and electric field strength, the equipment can always maintain the optimal frequency and interference source strength under complex environmental conditions.

[0094] The present invention combines the environmental temperature and humidity, frequency time change, interference source strength and electric field strength feedback. The comprehensive adjustment of multiple factors can ensure the real-time optimization of equipment frequency and interference source; it realizes efficient response, and avoids over-response or lag through the smooth response of the sigmoid function to the interference source strength, thus ensuring the high efficiency of recursive adjustment.

[0095] 3. The present invention can optimize the placement of the device and the signal receiving angle according to factors such as the electric field distribution and the ambient temperature and humidity through environmental adaptive adjustment, thereby ensuring that the device can operate effectively in different environments.

[0096] The present invention is to distribute the electric field E f The spatial integration of (x, y, z) and the correction of the electric field by temperature (through 1 / (T+1)) are used to dynamically adjust the environmental weight, accurately reflecting the interaction between the environment and the device, and using the influence of the position distribution standard deviation (σ) and the device placement position on the electric field distribution to ensure the optimization of the device placement position in the test. This method has high environmental adaptability, can adjust the environmental weight in real time, and optimize the position of the device, etc., to improve the electromagnetic compatibility test effect of the device; and integrate environmental factors, through the influence of temperature and humidity on the environmental weight, the device placement position can still be optimized under complex environmental conditions, ensuring the accuracy of the test.

[0097] 4. The present invention further comprehensively considers factors such as electric field strength, temperature and humidity, and frequency adjustment to dynamically adjust the intensity of the interference source to ensure that it is adapted to the actual environment. Effective coupling between the intensity of the interference source and the receiving angle and frequency is achieved through the adjustment factors of θ and φ. This method has strong environmental adaptability and can accurately adjust the intensity of the interference source under different environmental temperature and humidity conditions to avoid excessive or weak interference; through the adjustment of multiple dimensions such as receiving angle, humidity, and frequency, it ensures that the intensity adjustment of the interference source meets the actual test requirements and avoids the impact of environmental changes on the test.

[0098] 5. The present invention performs high-dimensional data classification analysis on the test data in the equipment testing process based on the recursive feedback updated equipment frequency and the adjusted interference source strength, which can quickly identify electromagnetic compatibility problems, provide data support for equipment optimization, and improve the intelligence level of the test.

[0099] 6. The present invention schedules the working time periods of multiple devices according to the classified data and the interference source intensity adjusted by each device, which can efficiently schedule the working time of multiple devices, ensure that there is no mutual interference between the devices, and improve the testing efficiency of multiple devices working at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0100] Figure 1 The present invention is a flow chart of an electromagnetic compatibility automated detection optimization method. DETAILED DESCRIPTION

[0101] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0102] like Figure 1 As shown, Embodiment 1 of the present invention provides an electromagnetic compatibility automated detection optimization method, the method comprising the following steps:

[0103] S1. Measure the initial interference source strength P init , and monitor the electromagnetic environment in real time, obtain key parameters, calculate the initial frequency of the device, and recursively feedback the device frequency and interference source strength according to the changes in temperature, humidity and electric field strength in the environment to obtain the recursive feedback update result f n+1 and P n+1 ;

[0104] Further preferably, the electromagnetic environment is monitored in real time by a sensor array to obtain key parameters such as frequency, interference intensity, electric field intensity, temperature and humidity, etc., and the initial frequency of the device is calculated. The frequency and interference source intensity are recursively adjusted according to changes in environmental conditions and electric field intensity to ensure stable operation of the device in a complex environment and continuous optimization;

[0105] Specifically, the key parameters of the test equipment such as electric field strength, interference intensity, temperature and humidity under different frequencies and interference source intensities will be obtained in real time. The sensor array will be distributed around the test equipment, and the collected data will not only cover the electromagnetic radiation of the equipment, but also the temperature and humidity in the environment.

[0106] All collected electric field and environmental data will be used to preliminarily calculate the initial frequency of the device, ensuring that the system can be dynamically adjusted and optimized based on actual measurement results.

[0107] The initial frequency and initial interference intensity are used as the initial conditions of the test, where the initial interference source intensity P init The initial frequency is measured by an electromagnetic interference meter; the initial frequency is calculated based on the electromagnetic compatibility requirements of the device, such as the ability of the device to effectively coexist with other devices or electromagnetic environments during operation, ensuring that the device will not cause unacceptable electromagnetic interference to the external environment during its design and use, and at the same time be able to resist external electromagnetic interference to ensure its normal operation, as well as environmental conditions. The calculation formula for the initial frequency is:

[0108]

[0109] Among them, f init It is the frequency of the initial operation of the equipment, that is, the frequency of the electromagnetic interference emitted by the equipment when it is tested;

[0110] P init is the initial interference source strength;

[0111] N is the number of sampling points, which indicates the resolution when calculating the distribution of the frequency range;

[0112] i is the index of the sampling point;

[0113] f max It is the maximum test frequency that is set, indicating the upper limit of the maximum frequency that the device can handle;

[0114] T and H are the temperature and humidity of the environment, respectively;

[0115] α is the environmental correction factor, which is used to correct the influence of environmental parameters on the initial frequency.

[0116] The initial frequency and initial interference intensity are used as inputs of the recursive feedback control process. The initial conditions are not only used for one-time setting, but will continue to be fed back and corrected during the entire detection process. That is, after the initial frequency and initial interference intensity are set at the beginning, the frequency and interference intensity are constantly changing.

[0117] The recursive feedback control process dynamically adjusts the frequency and interference source strength in real time according to the feedback information in each step of the test: during the recursive feedback update, in each recursive step, the device frequency and interference source strength are adjusted according to the current environmental conditions (such as temperature, humidity) and changes in the electric field strength to obtain the updated device frequency, and the updated device frequency is used as the frequency input for the next recursion. This recursive process is repeated to ensure that the frequency is continuously optimized according to the latest environmental data and electric field feedback, and gradually approaches the optimal value (when the frequency change value is less than a preset threshold, it is considered that the frequency has converged and the recursive process can be terminated), and finally the recursive feedback update result is obtained, including the updated device frequency f n+1 and the updated interference source strength P n+1 To ensure that the device can operate stably in a changing environment. The frequency and interference source strength of the device are updated recursively based on the changes in temperature, humidity, and electric field strength in the environment. The formula is as follows:

[0118]

[0119] Among them, f n+1 is the updated frequency;

[0120] f n is the frequency of the current recursion level;

[0121] n is the recursive level index;

[0122] η f is the learning rate of the device frequency, which is used to control the size of the adjustment step; η f The value of needs to be adjusted according to the actual application scenario;

[0123] Represents the time derivative of frequency, which is used to reflect the dynamic changes of frequency;

[0124] ΔE n It is the change in electric field strength, representing the feedback of changes in the electromagnetic field in the current environment;

[0125] T n is the ambient temperature at the current recursive level;

[0126] H n is the humidity of the current recursive level;

[0127] P n+1 is the updated interference source strength;

[0128] P n is the interference source strength at the current recursive level;

[0129] η P is the learning rate of the interference source strength, which is used to adjust the size of the step size in the recursive process;

[0130] γ P It is the interference source intensity feedback responsiveness coefficient, which is used to control the feedback strength of the system to the electric field change, and its value range is between 0.1 and 1;

[0131] κ P It is the environmental adaptive coefficient of the interference source intensity, which is used to control the system's sensitivity to changes in temperature and humidity.

[0132] In each recursion, the frequency is adjusted according to the above formula, and the new device frequency and interference source strength are used as the input of the next device frequency and interference source strength. This process is repeated to ensure that the device frequency and interference source strength are continuously optimized according to the latest environmental data and electric field feedback, gradually approaching the optimal value, and finally obtaining the device parameters after recursive feedback, including the updated frequency and interference strength.

[0133] To summarize, the formula for recursive feedback control is as follows:

[0134]

[0135] Among them, X n+1 is the device parameter after recursive feedback, including the updated frequency and interference intensity, X n+1 The frequency and interference intensity results after recursive calculation will be the core input in the subsequent steps;

[0136] X n are the device parameters at the current recursive level;

[0137] Δt is the time step of each recursion;

[0138] ΔP n is the change in the intensity of the interference source at the current recursive level;

[0139] β is the adjustment factor, which is used to control the change in the intensity of the interference source ΔP n The response speed.

[0140] Updated frequency f n+1 and interference source strength P n+1 The value of is used as the input parameter of the electric field distribution function, which can be further used to adjust the position of the test equipment and the signal receiving angle, where the recursively calculated f n+1 Affects the distribution of electric field in space, Pn+1 This directly affects the strength of the electric field, and the recursively updated data can be used to determine the optimal position and receiving angle in the current environment.

[0141] S2. Update the result f based on recursive feedback n+1 and P n+1 Dynamically adjust the environment weight w env,adj , in order to optimize the placement of the test equipment and the signal receiving angle, and further adjust the interference source strength in combination with the temperature, humidity and electric field strength in the environment;

[0142] Further preferably, the environmental weight is dynamically adjusted based on the recursive feedback control result, the placement of the test equipment and the signal reception angle are optimized, and the strength of the interference source is corrected to ensure that the equipment can continue to be tested efficiently under new environmental conditions.

[0143] Specifically, in the environmental adaptive adjustment step, the initial environmental weight is first defined, and then adjusted based on the initial placement of the test equipment and the current environmental parameters (such as electric field distribution, temperature, etc.) to obtain the adjusted environmental weight. The calculation formula is as follows:

[0144]

[0145] Among them, w env,adj is the adjusted environmental weight;

[0146] represents the initial environment weight, λ·tan -1 (H) is the correction part, which mainly considers the influence of humidity on electromagnetic compatibility test;

[0147] The integration volume V is the region of physical space where the test equipment is located;

[0148] E f (x,y,z) is the result of recursive feedback f n+1 and P n+1 The affected electric field distribution function adjusts the distribution of the electric field at different spatial positions, thereby affecting the placement of the device (x, y, z); d(x, y, z) is the distance from the device position (x, y, z) to the interference source;

[0149] (x0, y0, z0) is the initial placement of the device;

[0150] T and H are the current temperature and humidity respectively;

[0151] σ is the standard deviation of the equipment location distribution, which is used to indicate the fluctuation range of the equipment placement;

[0152] λ is the humidity correction factor, which adjusts the effect of humidity on weight adjustment.

[0153] Furthermore, the adjusted environmental weight optimizes the device position through the relationship between the distribution of electric field strength and the device placement position.

[0154] In the space (x, y, z), according to the weight w env,adj , the device will be placed in the area with the strongest electric field strength (i.e. where the weight is the largest), while avoiding excessive interference or unsuitable test conditions.

[0155] By adjusting the electric field distribution and the placement of the equipment, the equipment can be tested in the best electromagnetic environment. By correcting the fluctuation range of the position σ, the system can dynamically adjust the position of the equipment in different environments to improve the accuracy of the test.

[0156] After determining the placement of the device, the optimal receiving angle can be determined based on experience. The adjustment of the angle is closely related to the electric field strength, temperature and humidity. For example, under certain specific environmental conditions, the propagation of the electric field may be significantly affected by temperature and humidity, so the optimization of the signal receiving angle must take these factors into consideration.

[0157] For each device, the optimized reception angle can be achieved by adjusting the frequency and interference strength, allowing the device to maximize signal reception efficiency without excessive interference.

[0158] The adjusted environmental weight will be used to correct the interference source strength and directly passed to the interference strength adjustment formula in the next step.

[0159] After obtaining the adjusted weights, the interference source strength can be further adjusted to ensure that the device can maintain efficient testing under new environmental conditions. Specifically, after the recursive feedback update, the environmental weights are adjusted and the placement and signal reception angle of the test equipment are optimized, the interference source strength is adjusted again. The adjustment formula is as follows:

[0160]

[0161] Among them, P adj is the corrected interference source strength, which is based on the adjusted environment weight w env,adj and the recursive feedback updated frequency f n+1 to make corrections;

[0162] Ω is the physical space range or test area where the electromagnetic compatibility test is performed;

[0163] E(t) is the electric field intensity, i.e., the dynamic change of the electric field during the test;

[0164] θ is the adjustment coefficient of the signal receiving angle, which affects the device's ability to receive signals;

[0165] is the standard deviation of the fluctuation range of the device position, which is used to represent the fluctuation in the intensity adjustment of the interference source;

[0166] φ is the frequency adjustment factor, which is used to correct the coupling between the interference source strength and frequency.

[0167] By combining environmental parameters such as electric field strength E(t), temperature T, and humidity H, the intensity of the interference source is dynamically adjusted to adapt it to the actual test environment to avoid excessive or insufficient interference.

[0168] S3, device frequency f after update based on recursive feedback n+1 and the adjusted interference source strength P adj Classify the test data during the equipment testing process, and according to the classified data D class (t) and the interference source strength P after adjustment of each device adj (k) Schedule the working time of multiple devices to ensure that multiple devices can complete the test without interfering with each other.

[0169] Further preferably, the device data is analyzed through classification to schedule the working hours of multiple devices to avoid mutual interference.

[0170] Specifically, the adjusted interference intensity will participate in the real-time classification and analysis of data. Through machine learning algorithms, high-dimensional analysis of the data during the test process can be performed to identify potential electromagnetic compatibility issues. The formula for data classification is as follows:

[0171]

[0172] Among them, D class (t) is the classified data, which is based on P adj and f n+1 Classification results of the data collected during the test;

[0173] X k (t) is the test data of the kth device at time t;

[0174] T k is the impact of ambient temperature on the kth device (obtained by taking the time-weighted average of the temperature data, i.e., the weighted average of the temperature data of each device at different collection points at different times);

[0175] M is the number of devices;

[0176] γ k is the classification adjustment factor;

[0177] ΔE k is the change in electric field intensity emitted by the kth test device.

[0178] Classification result D class (t) Reveals the electromagnetic compatibility performance of each device, especially whether there is potential electromagnetic interference between different devices, which will be directly transmitted to the multi-device collaborative work module for test time scheduling between devices.

[0179] In specific implementation, X k (t) represents the original test data of the kth device at time t, reflecting the electromagnetic behavior of the device in the current test environment. For example, for the first device, X1(t) contains the electric field strength of the device at a certain moment, the temperature and humidity around the device, and other environmental factors. Assume that at time t, the electric field strength of this device is 100V / m, the temperature is 25℃, and the humidity is 60%.

[0180] D class (t) represents the result of classifying the raw data based on the machine learning algorithm, and classifies the electromagnetic compatibility status of each device into different levels or categories, such as "qualified", "potential interference risk" or "needs correction". class The output result of (t) is: if the electric field strength of device 1 is too high and under certain temperature and humidity conditions, this device may generate electromagnetic interference and be classified as a potential electromagnetic compatibility problem.

[0181] Classification result feedback: The final classification result can help testers identify which devices may cause interference under specific environmental conditions and which devices can work normally in the current environment.

[0182] For example, if the X1(t) data of the first device contains high electric field strength and interference source strength, and is classified by the machine learning model, the result is D class (t) = 1, it means that the device may generate electromagnetic interference at this moment and needs further inspection and correction; if the result is D class (t) = 0, it means that the equipment will not cause significant interference under the current conditions and meets the electromagnetic compatibility requirements.

[0183] It can be understood that formula (6) is a simplified machine learning algorithm. The machine learning model first collects the real-time test data X from each device. k (t), which contains the electric field strength, frequency, temperature and other parameters of the equipment during the test. In this formula, the focus of feature extraction is the change in electric field strength ΔE k , frequency f n+1 , Temperature T k and interference source strength P adj The hyperbolic tangent function tanh and the exponential function in the formula The input data is nonlinearly mapped so that the model can better handle the complex relationship between the change of electric field intensity and the interference intensity and environmental parameters. The tanh function adjusts the ratio of interference intensity to frequency to ensure that it responds to classification within a reasonable range. γ k The influence of electric field changes on classification is controlled. k , the machine learning model is able to flexibly adjust its response to changes in electric field strength, especially in environments with strong interference or noise. Electric field strength change ΔE k It is an important indicator in electromagnetic compatibility analysis, reflecting the degree of interference of the equipment in the electromagnetic environment.

[0184] The application of machine learning algorithms enables:

[0185] Supervised learning: The model is trained based on historical data so that it can automatically classify and predict based on features (such as electric field strength, electromagnetic frequency, ambient temperature, etc.).

[0186] Dynamic update: Since the electromagnetic environment and device status are constantly changing, the model uses a recursive update method to update inputs such as frequency and interference source strength in real time to ensure that the model can continuously adapt to new environments and electromagnetic changes.

[0187] Adaptive control: By introducing multiple parameters such as temperature, humidity, frequency and electric field strength, the model has adaptive capabilities and can automatically adjust the classification criteria according to different environmental conditions.

[0188] The multi-device collaborative work module ensures that multiple devices can complete the test without interfering with each other based on the data classification results and the interference source strength of each device. The collaborative scheduling formula is as follows:

[0189]

[0190] Among them, T sched It is the scheduling time window of the device, which indicates the working period of each device and is scheduled based on the intensity and frequency of the interference source of each device;

[0191] P adj (k) is the interference source strength after adjustment of the kth device;

[0192] is the scheduling adjustment factor, which adjusts the scheduling time of the kth device to avoid interference;

[0193] T k and H k are the ambient temperature and humidity of the kth device respectively.

[0194] Based on formula (7), the working time periods of multiple devices can be allocated and scheduled according to the interference source strength and frequency of each device, ensuring that there will be no mutual interference when multiple devices work simultaneously under different temperature and humidity environments, and that the test can be completed efficiently and collaboratively under different environmental conditions.

[0195] Specifically, the scheduling time window is allocated by comprehensively considering the adjusted interference strength of each device, environmental parameters (such as temperature and humidity), and the electromagnetic compatibility classification results between devices. The scheduling time of each device must not only avoid mutual interference between different devices, but also ensure that the devices can work together efficiently under different environmental conditions. For example, devices with higher frequencies may require longer working times, while devices with lower interference source strength may be assigned shorter test periods. Through these intelligent scheduling, the mutual influence between devices during the test process is minimized, while improving test efficiency and accuracy.

[0196] Embodiment 2 of the present invention provides an electromagnetic compatibility automated detection optimization system, including:

[0197] The recursive feedback update module is used to measure the initial interference source strength, monitor the electromagnetic environment in real time, calculate the initial frequency of the electromagnetic compatibility automation detection equipment, and recursively feedback and update the frequency and interference source strength of the equipment according to the changes in temperature, humidity and electric field strength in the environment;

[0198] Interference source strength adjustment module, used to dynamically adjust the environment weight based on the device frequency and interference source strength updated by recursive feedback, optimize the placement of the test equipment and the signal receiving angle according to the adjusted environment weight, and further adjust the interference source strength;

[0199] The multi-device collaborative detection module is used to classify the test data during the device testing process based on the device frequency updated by recursive feedback and the adjusted interference source strength, and schedule the working time periods of multiple devices according to the classified data and the adjusted interference source strength of each device to ensure that multiple devices can complete the test without interfering with each other.

[0200] Embodiment 3 of the present invention provides a terminal, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method.

[0201] Embodiment 4 of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method when executed by a processor.

[0202] Compared with the prior art, the beneficial effects of the present invention include at least:

[0203] 1. When calculating the initial frequency, the present invention combines the maximum frequency of the device and the initial interference source strength, and utilizes the distribution of sine and cosine functions to ensure that the frequency distribution is extensive and adaptable to a variety of test scenarios. At the same time, the correction of frequency by temperature and humidity has environmental adaptive characteristics. The environmental correction factor α is introduced to adjust the initial frequency by utilizing the influence of environmental temperature and humidity. By adjusting α, it can automatically adapt to the influence of the external environment on the electromagnetic compatibility test, thereby improving the test accuracy. This calculation method is highly flexible and can dynamically calculate the initial frequency and interference source strength according to the maximum frequency of the device, the interference source strength and the external environmental conditions, thereby improving the adaptability of the system; at the same time, it has strong adaptability and is corrected by environmental factors (such as temperature and humidity), ensuring the accuracy of the test process and the stability of the equipment under different environments.

[0204] 2. The present invention adopts a multi-layer recursive and feedback mechanism to recursively feedback and update the frequency and interference source strength of the device according to the changes in the temperature, humidity and electric field strength in the environment. The present invention recursively feedback and update the frequency and interference source strength of the device according to the changes in the temperature, humidity and electric field strength in the environment. The frequency and interference source strength of the device can be dynamically adjusted to adapt to the environment, and the working parameters of the device can be automatically adjusted according to real-time data, which can reduce manual intervention, improve test efficiency, and ensure the accuracy and stability of the test process.

[0205] The present invention combines the time derivative when recursively feedback updating the frequency of the device Dynamically adjust the frequency to cope with frequency changes, and not only consider the frequency change, but also the change in the intensity of the interference source, using the modification factor Smooth response to changes in interference source strength makes frequency adjustment more sensitive.

[0206] When the interference source strength of the device is updated by recursive feedback, the electric field strength change ΔE is considered. n and ambient temperature and humidity difference |T n -H n | Dynamically adjust the intensity of the interference source to accurately reflect the actual environmental impact, through the change of the electric field strength (ΔE n ) square term strengthens the effect of electric field change on the interference source intensity regulation, ensuring that the fluctuation of electromagnetic interference can have an effective impact on the interference source intensity.

[0207] The present invention adjusts η in each recursive process. f , η p , γ p , κ p , β controls the adjustment range of frequency and interference source strength and the influence of environmental factors, thereby optimizing the adjustment pace of frequency and interference source strength.

[0208] The present invention can ensure that the frequency and interference source strength can be adjusted in real time with time changes, environmental changes and electric field feedback, avoiding the instability of the equipment under fixed frequency and interference source strength. By comprehensively considering the influence of changes in ambient temperature and humidity and electric field strength, the equipment can always maintain the optimal frequency and interference source strength under complex environmental conditions.

[0209] The present invention combines the environmental temperature and humidity, frequency time change, interference source strength and electric field strength feedback. The comprehensive adjustment of multiple factors can ensure the real-time optimization of equipment frequency and interference source; it realizes efficient response, and avoids over-response or lag through the smooth response of the sigmoid function to the interference source strength, thus ensuring the high efficiency of recursive adjustment.

[0210] 3. The present invention can optimize the placement of the device and the signal receiving angle according to factors such as the electric field distribution and the ambient temperature and humidity through environmental adaptive adjustment, thereby ensuring that the device can operate effectively in different environments.

[0211] The present invention is to distribute the electric field E f The spatial integration of (x, y, z) and the correction of the electric field by temperature (through 1 / (T+1)) are used to dynamically adjust the environmental weight, accurately reflecting the interaction between the environment and the device, and using the influence of the position distribution standard deviation (σ) and the device placement position on the electric field distribution to ensure the optimization of the device placement position in the test. This method has high environmental adaptability, can adjust the environmental weight in real time, and optimize the position of the device to improve the electromagnetic compatibility test effect of the device; and integrates environmental factors, through the influence of temperature and humidity on the environmental weight, the device placement position can still be optimized under complex environmental conditions, ensuring the accuracy of the test.

[0212] 4. The present invention further comprehensively considers factors such as electric field strength, temperature and humidity, and frequency adjustment to dynamically adjust the intensity of the interference source to ensure that it is adapted to the actual environment. Effective coupling between the intensity of the interference source and the receiving angle and frequency is achieved through the adjustment factors of θ and φ. This method has strong environmental adaptability and can accurately adjust the intensity of the interference source under different environmental temperature and humidity conditions to avoid excessive or weak interference; through the adjustment of multiple dimensions such as receiving angle, humidity, and frequency, it ensures that the intensity adjustment of the interference source meets the actual test requirements and avoids the impact of environmental changes on the test.

[0213] 5. The present invention performs high-dimensional data classification analysis on the test data in the equipment testing process based on the recursive feedback updated equipment frequency and the adjusted interference source strength, which can quickly identify electromagnetic compatibility problems, provide data support for equipment optimization, and improve the intelligence level of the test.

[0214] 6. The present invention schedules the working time periods of multiple devices according to the classified data and the interference source intensity adjusted by each device, which can efficiently schedule the working time of multiple devices, ensure that there is no mutual interference between the devices, and improve the testing efficiency of multiple devices working at the same time.

[0215] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0216] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0217] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0218] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0219] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An electromagnetic compatibility automated detection optimization method, characterized in that: The method comprises: Measure the initial interference source strength, monitor the electromagnetic environment in real time, calculate the initial frequency of the electromagnetic compatibility automated testing equipment, and recursively update the equipment frequency and interference source strength based on changes in temperature, humidity, and electric field strength in the environment; Dynamically adjust the environment weight based on the updated device frequency and interference source strength after recursive feedback, optimize the placement of the test equipment and the signal reception angle according to the dynamically adjusted environment weight, and further adjust the interference source strength; Based on the recursive feedback updated device frequency and the adjusted interference source strength, the test data in the device testing process is classified, and the working time periods of multiple devices are scheduled according to the classified data and the adjusted interference source strength of each device to ensure that multiple devices can complete the test without interfering with each other.

2. The electromagnetic compatibility automated detection optimization method according to claim 1, characterized in that: The calculation formula of the initial frequency is: Among them, f init is the initial frequency of the device, which is the initial frequency of the electromagnetic interference emitted by the device when it is tested; p init is the initial interference source strength; N is the number of sampling points; i is the index of the sampling point; f max is the maximum test frequency of the device; T and H are the temperature and humidity of the environment, respectively; α is the environmental correction factor.

3. The electromagnetic compatibility automated detection optimization method according to claim 1, characterized in that: The recursive feedback update formula for the frequency is as follows: Among them, f n+1 To recursively feedback the updated device frequency; f n is the device frequency of the current recursive level; n is the recursive level index; η f is the learning rate of frequency; β is the adjustment factor; ΔP n is the change in the intensity of the interference source at the current recursive level.

4. The electromagnetic compatibility automated detection optimization method according to claim 1, characterized in that: The recursive feedback update formula of the interference source strength is as follows: Among them, P n+1 is the interference source strength after recursive feedback update; P n is the interference source strength at the current recursive level; n is the recursive level index; η P is the learning rate of the interference source strength; γ P is the interference source intensity feedback responsiveness coefficient; κ P is the environmental adaptation coefficient of the interference source strength; ΔE n is the change in electric field strength; T n is the ambient temperature at the current recursive level; H n is the humidity of the current recursive level.

5. The electromagnetic compatibility automated detection optimization method according to claim 1, characterized in that: The environment weight is dynamically adjusted based on the device frequency and interference source strength after recursive feedback update. The formula is as follows: Among them, w env,adj is the adjusted environmental weight; V is the integrated volume of the physical space region where the test equipment is located; E f (x,y,z) is given by f n+1 and P n+1 The affected electric field distribution function; f n+1 and P n+1 is the device frequency and interference source strength after recursive feedback update; (x0, y0, z0) is the initial placement of the device; T and H are the temperature and humidity in the current environment respectively; σ is the standard deviation of the device location distribution; λ is the humidity correction factor.

6. The electromagnetic compatibility automated detection optimization method according to claim 5, characterized in that: The electric field distribution function is: Where d(x,y,z) is the distance from the device location (x,y,z) to the interference source; t is the time.

7. The electromagnetic compatibility automated detection optimization method according to claim 1, characterized in that: The further adjustment formula of the interference source strength is as follows: Among them, P adj is the adjusted interference source strength; w env,adj is based on adjusted environmental weights; Ω is the physical space range or test area where the electromagnetic compatibility test is performed; E(t) is the electric field strength at time t; θ is the adjustment factor of the signal receiving angle; T and H are the temperature and humidity in the current environment respectively; is the standard deviation of the device position fluctuation range; φ is the frequency adjustment factor; f n+1 is the device frequency after recursive feedback update.

8. The electromagnetic compatibility automated detection optimization method according to claim 1, characterized in that: The test data in the device test process is classified based on the recursive feedback updated device frequency and the adjusted interference source strength, and the formula is as follows: Among them, D class (t) is the classified data at time t; X k (t) is the test data of the kth device at time t during the test; P adj is the adjusted interference source strength; f n+1 is the device frequency after recursive feedback update; T k is the influence of ambient temperature on the kth device; M is the number of devices; γ k is the classification adjustment factor; ΔE k is the change in electric field intensity emitted by the kth test device.

9. The electromagnetic compatibility automated detection optimization method according to claim 1, characterized in that: The working time periods of multiple devices are scheduled according to the classified data and the interference source intensity adjusted by each device. The formula is as follows: Among them, T sched is the working period of each device; P adj (k) is the interference source strength after adjustment of the kth device; D class (t) is the classified data at time t; is the scheduling adjustment factor; f n+1 is the device frequency after recursive feedback update; T k and H k are the temperature and humidity of the environment of the kth device respectively.

10. An electromagnetic compatibility automated detection and optimization system, claiming the method according to any one of claims 1 to 9, characterized in that: The system comprises: The recursive feedback update module is used to measure the initial interference source strength, monitor the electromagnetic environment in real time, calculate the initial frequency of the electromagnetic compatibility automation detection equipment, and recursively feedback and update the frequency and interference source strength of the equipment according to the changes in temperature, humidity and electric field strength in the environment; Interference source strength adjustment module, used to dynamically adjust the environment weight based on the device frequency and interference source strength updated by recursive feedback, optimize the placement of the test equipment and the signal receiving angle according to the adjusted environment weight, and further adjust the interference source strength; The multi-device collaborative detection module is used to classify the test data during the device testing process based on the device frequency updated by recursive feedback and the adjusted interference source strength, and schedule the working time periods of multiple devices according to the classified data and the adjusted interference source strength of each device to ensure that multiple devices can complete the test without interfering with each other.

11. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-9.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.

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