Electromagnetic stability test method, system, equipment and storage medium of DTU

Abstract

The present invention discloses a method, system, device and storage medium for electromagnetic stability testing of a DTU, including: presetting a simulated electromagnetic interference signal and calculating an interference intensity index; applying each group of simulated electromagnetic interference signals to the DTU in turn, and synchronously performing a data transmission test on the DTU to obtain the communication status data of the DTU under each group of simulated electromagnetic interference signals; calculating the anti-interference performance index based on the communication status feature set based on the entropy weight method; calculating the correlation value between the interference intensity index and the anti-interference performance index based on the Pearson correlation coefficient; screening the risk electromagnetic interference signal based on the correlation value and the preset threshold; generating a filter parameter optimization strategy based on the interference frequency of the risk electromagnetic interference signal; and adjusting the filter parameters of the DTU based on the filter parameter optimization strategy. The present invention comprehensively evaluates the multi-dimensional communication status and automatically adjusts the parameter optimization strategy, realizes the whole process optimization from testing to optimization strategy formulation and then to implementation, and ensures the stability and adaptability of the DTU in practical applications.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control, and in particular to a method, system, device and storage medium for testing electromagnetic stability of a DTU. Background Art

[0002] DTU (Data Transfer Unit) is a device dedicated to remote data communication. It is widely used in many industries such as electricity, water conservancy, petroleum, heat, and environmental protection. It undertakes key tasks such as remote monitoring, data collection and transmission. However, in a complex and changeable electromagnetic environment, DTU faces severe challenges of electromagnetic interference, which will not only affect the accuracy and real-time performance of data transmission, but also lead to a decrease in communication stability and quality, and even service interruption. Therefore, it is particularly important to test the electromagnetic stability of DTU to ensure that DTU has good electromagnetic stability to resist various external interferences.

[0003] Most of the existing DTU electromagnetic compatibility test methods rely on simulation experiments of a single parameter, and fail to fully consider the multi-dimensional factors in actual applications, resulting in deviations between the test results and the actual application. In addition, the traditional test and evaluation system is highly subjective in weight allocation and lacks a scientific and reasonable method for calculating the weights of indicators, which affects the objectivity and accuracy of the evaluation results. In terms of dealing with risky electromagnetic interference signals, previous strategies are often based on fixed rules or simple threshold judgments, ignoring the diversity of interference characteristics and the complexity of the impact on the system, failing to achieve targeted filter parameter optimization, and reducing the adaptability and anti-interference ability of DTU in complex electromagnetic environments. Therefore, there is an urgent need for a test method that can comprehensively evaluate multi-dimensional communication status and automatically adjust optimization strategies to improve the stability and adaptability of DTU in actual deployment. Summary of the invention

[0004] The present invention provides a method, system, equipment and storage medium for testing electromagnetic stability of a DTU.

[0005] A first aspect of the present invention provides a method for testing the electromagnetic stability of a DTU, the method comprising:

[0006] Preset several groups of simulated electromagnetic interference signals with different interference parameters, and calculate the interference intensity index of each group of simulated electromagnetic interference signals;

[0007] Applying each group of the simulated electromagnetic interference signals to the DTU in turn, and synchronously performing a data transmission test on the DTU to obtain communication status data of the DTU under each group of the simulated electromagnetic interference signals;

[0008] Based on the entropy weight method, according to the communication status data, the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals is calculated;

[0009] Based on the Pearson correlation coefficient, a correlation value between the interference intensity index and the anti-interference performance index is calculated; and according to the correlation value and a preset threshold, risky electromagnetic interference signals are screened;

[0010] Generating a filter parameter optimization strategy accordingly according to the interference frequency of the risky electromagnetic interference signal;

[0011] The filter parameters of the DTU are adjusted according to the filter parameter optimization strategy.

[0012] Optionally, in a first implementation of the first aspect of the present invention, a plurality of groups of simulated electromagnetic interference signals with different interference parameters are preset, and an interference intensity index of each group of simulated electromagnetic interference signals is calculated, including:

[0013] The interference parameters include: interference frequency, interference power and interference duration;

[0014] Calculating the interference intensity index according to the interference parameter;

[0015] The calculation formula of the interference intensity index is:

[0016] ;

[0017] in is the interference intensity index; is the interference power; is the reference power, which is 1 milliwatt; Indicates that the interference frequency deviates from the center frequency The difference is used to measure the impact of frequency offset; is the duration of the interference, reflecting the duration effect of the interference; , , are empirical parameters, representing the frequency offset penalty coefficient, time attenuation coefficient and exponential factor of time influence respectively; exp represents the natural exponential function.

[0018] Optionally, in a second implementation manner of the first aspect of the present invention, applying each group of the simulated electromagnetic interference signals to the DTU in sequence, and synchronously performing a data transmission test on the DTU to obtain communication status data of the DTU under each group of the simulated electromagnetic interference signals includes:

[0019] Installing and calibrating a multi-dimensional simulated electromagnetic interference signal generator, and generating the simulated electromagnetic interference signal accordingly according to preset interference parameters;

[0020] applying the simulated electromagnetic interference signal to the DTU in sequence;

[0021] While applying the simulated electromagnetic interference signal, starting a data transmission test of the DTU;

[0022] Continuously sending data packets to the test end data execution through the DTU, wherein the content of the data packets includes a randomly generated binary sequence;

[0023] The communication status data of the DTU under each group of the simulated electromagnetic interference signals is detected and recorded in real time.

[0024] Optionally, in a third implementation of the first aspect of the present invention, the real-time detection and recording of the communication status data of the DTU under each group of the simulated electromagnetic interference signals includes:

[0025] The received data is compared with the original transmitted data through the error detector, and the ratio of the number of error bits to the total number of bits is calculated to obtain the bit error rate;

[0026] During the data packet transmission process, the ratio of the number of data packets that are not correctly received to the total number of data packets sent is calculated to obtain the packet loss rate;

[0027] By using the timer and data volume statistics, the amount of data transmitted within the preset time is divided by the time to obtain the average transmission rate;

[0028] When the number of consecutive unconfirmed data packets reaches a preset value, it is determined as a communication interruption, and the number of communication interruptions is recorded to obtain the number of communication interruptions;

[0029] After each group of the simulated electromagnetic interference signals stops, the time interval from the end of the last interruption to the successful recovery of the DTU and maintaining stable communication is recorded to obtain the self-recovery time;

[0030] The bit error rate, packet loss rate, transmission rate, number of communication interruptions and self-recovery time are time-stamped and associated with corresponding electromagnetic interference types to generate the communication status data.

[0031] Optionally, in a fourth implementation manner of the first aspect of the present invention, the entropy weight method is used to calculate the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals according to the communication state data, including:

[0032] Standardizing the communication status data;

[0033] Based on the entropy weight method, the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals is calculated by using the anti-interference performance index formula;

[0034] The anti-interference performance index formula is: ;

[0035] in, is the anti-interference performance index under the simulated electromagnetic interference signal of the i-th group; n is the number of evaluation indicators, including bit error rate, packet loss rate, transmission rate, number of communication interruptions and self-recovery time; is the weight of the ith indicator, which is calculated by the entropy weight method and reflects the influence of each indicator on the overall communication quality; It is the value of each evaluation index after standardization, which is used for comparison between indicators of different dimensions.

[0036] Optionally, in a fifth implementation of the first aspect of the present invention, the step of calculating the correlation value between the interference intensity index and the anti-interference performance index based on the Pearson correlation coefficient formula; and screening the risk electromagnetic interference signal according to the correlation value and a preset threshold value includes:

[0037] Standardizing the interference intensity index and the anti-interference performance index;

[0038] Calculating the Pearson correlation coefficient between the interference intensity index and the anti-interference performance index;

[0039] The Pearson correlation coefficient formula is:

[0040] ;

[0041] Where r is the correlation value; are the values ​​of the interference intensity index and the anti-interference performance index at the jth observation point respectively; and are the sample means of the two variables respectively; N is the number of observation points;

[0042] The simulated electromagnetic interference signal corresponding to the correlation coefficient exceeding the preset threshold is identified as the risky electromagnetic interference signal.

[0043] Optionally, in a sixth implementation of the first aspect of the present invention, generating a filter parameter optimization strategy corresponding to the interference frequency of the risk electromagnetic interference signal includes:

[0044] Obtaining the interference frequency of the risky electromagnetic interference signal;

[0045] Calculating the optimized inductance value and the optimized capacitance value corresponding to the interference frequency of the risky electromagnetic interference signal by using a cut-off frequency calculation formula;

[0046] The cut-off frequency calculation formula is:

[0047] ;

[0048] in, is the cut-off frequency; C is the optimized capacitance value; L is the optimized inductance value;

[0049] Let the cutoff frequency Close to or slightly higher than the interference frequency of the risk electromagnetic interference signal, the values ​​of the optimized capacitance value C and the optimized inductance value L are adjusted accordingly, and the filter parameters are set according to the values ​​of the optimized inductance value and the optimized capacitance to form the filter parameter optimization strategy.

[0050] A second aspect of the present invention provides an electromagnetic stability test system for a DTU, the electromagnetic stability test system for the DTU comprising: a multi-dimensional simulated electromagnetic interference signal generator, a bit error detector, a processing module and a setting module, each part being electrically connected;

[0051] Optionally, in a first implementation of the second aspect of the present invention, the multi-dimensional simulated electromagnetic interference signal generator is used to apply each group of the simulated electromagnetic interference signals to the DTU in sequence;

[0052] Optionally, in a second implementation of the second aspect of the present invention, the bit error detector is used to synchronously perform a data transmission test on the DTU to obtain communication status data of the DTU under each group of the simulated electromagnetic interference signals;

[0053] Optionally, in a third implementation of the second aspect of the present invention, the processing module is used to preset several groups of simulated electromagnetic interference signals with different interference parameters, and calculate the interference intensity index of each group of simulated electromagnetic interference signals; based on the entropy weight method, according to the communication status data, calculate the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals; based on the Pearson correlation coefficient formula, calculate the correlation value between the interference intensity index and the anti-interference performance index; according to the correlation value and the preset threshold, screen the risk electromagnetic interference signal; according to the interference frequency of the risk electromagnetic interference signal, generate a filter parameter optimization strategy; and also used to execute the electromagnetic stability test method of the DTU as described above;

[0054] Optionally, in a fourth implementation manner of the second aspect of the present invention, the setting module is used to adjust the filter parameters of the DTU according to the filter parameter optimization strategy.

[0055] A third aspect of the present invention provides an electromagnetic stability testing device for a DTU, comprising: a memory and at least one processor, wherein instructions are stored in the memory; the at least one processor calls the instructions in the memory so that the electromagnetic stability testing device for the DTU executes the above-mentioned electromagnetic stability testing method for the DTU.

[0056] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned electromagnetic stability test method of the DTU.

[0057] Beneficial effects: The electromagnetic stability test method, system, device and storage medium of a DTU provided by the present invention not only covers the interference types within a wide frequency range by presetting and applying simulated electromagnetic interference signals with different parameters, but also realizes the quantitative description of the interference characteristics by calculating the intensity index of each group of interference, which lays the foundation for subsequent accurate testing and analysis. Such a design makes the test closer to the real environment, can effectively evaluate the response and adaptability of the DTU when facing diversified interference, and the synchronous data transmission test can efficiently and quickly identify potential communication failure points, ensuring the timeliness and authenticity of the test results.

[0058] The anti-interference performance index is calculated by introducing the entropy weight method, which is an objective weighting method. It automatically determines the weight of each indicator based on the discrete degree of the data, avoiding the interference of subjective factors, making the calculation of the anti-interference performance index more scientific and reasonable. This process fully considers the influence of all communication status characteristics, ensures the comprehensiveness and fairness of the evaluation, and improves the credibility of the evaluation results.

[0059] The correlation value between the interference intensity index and the anti-interference performance index is calculated based on the Pearson correlation coefficient, which provides a quantitative perspective for understanding the specific relationship between interference and DTU performance degradation. By setting a preset threshold, the risk electromagnetic interference signals that pose a significant threat to DTU performance can be efficiently screened out. This strategy greatly enhances the pertinence and efficiency of the test and points out the direction for subsequent optimization measures. On this basis, according to the specific frequency of the risk electromagnetic interference signal, a corresponding filter parameter optimization strategy is proposed. Through precise matching of the interference frequency, the optimization strategy can more accurately adjust the filter parameters, effectively suppress harmful interference, and enhance the signal reception and processing capabilities of the DTU, thereby improving the electromagnetic compatibility and stability of the entire system.

[0060] The filter parameters of DTU are adjusted according to the optimization strategy. This dynamic adjustment mechanism enables DTU to dynamically adapt to the changing electromagnetic environment, which not only improves its working reliability under complex conditions, but also extends the service life of the equipment and reduces maintenance costs.

[0061] In summary, the electromagnetic stability test method of DTU provided by the present invention not only significantly improves the accuracy and efficiency of the test, but also realizes the whole process optimization from testing to optimization strategy formulation and then to implementation, by comprehensively evaluating the multi-dimensional communication status and automatically adjusting the optimization strategy, and also improves the stability and adaptability of DTU in actual deployment, providing a systematic and scientific solution for the electromagnetic stability evaluation of DTU. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A schematic diagram of an embodiment of a method for testing electromagnetic stability of a DTU in an embodiment of the present invention;

[0063] Figure 2 A schematic diagram of an embodiment of an electromagnetic stability test system of a DTU in an embodiment of the present invention; DETAILED DESCRIPTION

[0064] The embodiments of the present invention provide a method, system, device and storage medium for testing the electromagnetic stability of a DTU. The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0065] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 , an embodiment of the electromagnetic stability test method of DTU in the embodiment of the present invention includes:

[0066] 101. Preset several groups of simulated electromagnetic interference signals with different interference parameters, and calculate the interference intensity index of each group of simulated electromagnetic interference signals;

[0067] It is understandable that the execution subject of the present invention may be the electromagnetic stability test system of the DTU, or may be a terminal or a server, which is not limited here. The embodiment of the present invention is described by taking the server as the execution subject as an example.

[0068] Specifically, the interference parameters include: interference frequency, interference power and interference duration;

[0069] Calculating the interference intensity index according to the interference parameter;

[0070] The calculation formula of the interference intensity index is:

[0071] ;

[0072] in is the interference intensity index; is the interference power; is the reference power, which is 1 milliwatt; Indicates that the interference frequency deviates from the center frequency The difference is used to measure the impact of frequency offset; is the duration of the interference, reflecting the duration effect of the interference; , , are empirical parameters, representing the frequency offset penalty coefficient, time attenuation coefficient and exponential factor of time influence respectively; exp represents the natural exponential function.

[0073] More specifically, the simulated electromagnetic interference signal set may include various frequencies and intensities: radio frequency interference, electrostatic discharge, and pulse group interference; for example, the radio frequency interference source needs to be set within the range of 1 kHz to 5 GHz, with a step of 10 kHz, and the intensity from -60dBm to 0 dBm, with a step of 5 dBm; the electrostatic discharge simulator sets multiple energy levels, such as 10 volts to 20,000 volts, with one level of 100 volts; the pulse group interference generation module sets the pulse width from 10 ns to 1 µs, the amplitude from 5 V to 100 V, and the repetition rate from 10 Hz to 1 kHz.

[0074] For example, to test an industrial-grade DTU, select RF interference with a frequency of 2.4 GHz, a strength of -20dBm, and a duration of 1 minute. According to the formula, if the base power = 0.001 watt, center frequency =2.4GHz, the actual interference frequency deviates from the center frequency by 10MHz (i.e. = Hz), duration = 60 seconds, assuming =0.1, , , then the interference intensity index is approximately:

[0075] 20+0.1× +0.01×exp(−0.02×60)≈131 The calculated value reflects the electromagnetic stress level faced by the DTU under the specific interference conditions and is used to evaluate its performance in this environment.

[0076] 102. Apply each group of the simulated electromagnetic interference signals to the DTU in turn, and synchronously perform a data transmission test on the DTU to obtain communication status data of the DTU under each group of the simulated electromagnetic interference signals;

[0077] Specifically, a multi-dimensional simulated electromagnetic interference signal generator is installed and calibrated, and the simulated electromagnetic interference signal is generated accordingly according to preset interference parameters;

[0078] applying the simulated electromagnetic interference signal to the DTU in sequence;

[0079] While applying the simulated electromagnetic interference signal, starting a data transmission test of the DTU;

[0080] Continuously sending data packets to the test end data execution through the DTU, wherein the content of the data packets includes a randomly generated binary sequence;

[0081] The communication status data of the DTU under each group of the simulated electromagnetic interference signals is detected and recorded in real time.

[0082] Specifically, the real-time detection and recording of the communication status data of the DTU under each group of the simulated electromagnetic interference signals includes:

[0083] The received data is compared with the original transmitted data through the error detector, and the ratio of the number of error bits to the total number of bits is calculated to obtain the bit error rate;

[0084] During the data packet transmission process, the ratio of the number of data packets that are not correctly received to the total number of data packets sent is calculated to obtain the packet loss rate;

[0085] By using the timer and data volume statistics, the amount of data transmitted within the preset time is divided by the time to obtain the average transmission rate;

[0086] When the number of consecutive unconfirmed data packets reaches a preset value, it is determined as a communication interruption, and the number of communication interruptions is recorded to obtain the number of communication interruptions;

[0087] After each group of the simulated electromagnetic interference signals stops, the time interval from the end of the last interruption to the successful recovery of the DTU and maintaining stable communication is recorded to obtain the self-recovery time;

[0088] The bit error rate, packet loss rate, transmission rate, number of communication interruptions and self-recovery time are time-stamped and associated with corresponding electromagnetic interference types to generate the communication status data.

[0089] 103. Based on the entropy weight method, according to the communication status data, calculate the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals;

[0090] Specifically, optionally, in a fourth implementation manner of the first aspect of the present invention, the entropy weight method is based on the communication state data to calculate the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals, including:

[0091] Standardizing the communication status data;

[0092] Based on the entropy weight method, the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals is calculated by using the anti-interference performance index formula;

[0093] The anti-interference performance index formula is: ;

[0094] in, is the anti-interference performance index under the simulated electromagnetic interference signal of the i-th group; n is the number of evaluation indicators, including bit error rate, packet loss rate, transmission rate, number of communication interruptions and self-recovery time; is the weight of the ith indicator, which is calculated by the entropy weight method and reflects the influence of each indicator on the overall communication quality; It is the value of each evaluation index after standardization, which is used for comparison between indicators of different dimensions.

[0095] More specifically, for example, in one test, the bit error rate of the DTU was , the packet loss rate is 0.001%, the average transmission rate is 100 Mbps, and it takes 2 seconds from the end of interference to the restoration of communication. First, these indicators are standardized to fall into the same dimension, and then the weight of each indicator is calculated according to the entropy weight method. After the entropy weight method is used to calculate the weight of the bit error rate =0.3, weight of packet loss rate =0.25, the weight of the transmission rate =0.2, weight of recovery time =0.25, then the anti-interference performance index can be calculated as follows:

[0096] ;

[0097] in, , are the maximum reference value of transmission rate and the longest reasonable recovery time, respectively, which are used for standardization. This index can directly reflect the comprehensive communication status under specific electromagnetic interference. The lower it is, the better the performance.

[0098] 104. Calculate the correlation value between the interference intensity index and the anti-interference performance index based on the Pearson correlation coefficient; and screen the risky electromagnetic interference signal according to the correlation value and a preset threshold;

[0099] Specifically, optionally, in a fifth implementation of the first aspect of the present invention, the correlation value between the interference intensity index and the anti-interference performance index is calculated based on the Pearson correlation coefficient formula; and the risk electromagnetic interference signal is screened according to the correlation value and a preset threshold, including:

[0100] Standardizing the interference intensity index and the anti-interference performance index;

[0101] Calculating the Pearson correlation coefficient between the interference intensity index and the anti-interference performance index;

[0102] The Pearson correlation coefficient formula is:

[0103] ;

[0104] Where r is the correlation value; are the values ​​of the interference intensity index and the anti-interference performance index at the jth observation point respectively; and are the sample means of the two variables respectively; N is the number of observation points;

[0105] The simulated electromagnetic interference signal corresponding to the correlation coefficient exceeding the preset threshold is identified as the risky electromagnetic interference signal.

[0106] More specifically, assume that 10 different sets of simulated electromagnetic interference signal data are collected, each set of data contains an interference intensity index and a corresponding DTU anti-interference performance index. The preset threshold (critical value) is 0.7, which means that only interference with an absolute value of the Pearson correlation coefficient greater than 0.7 will be identified as a risky electromagnetic interference signal. The interference intensity index and the anti-interference performance index are standardized to have a mean of 0 and a standard deviation of 1 to eliminate the influence of dimension and magnitude. Next, the Pearson correlation coefficient r is calculated using the standardized data. After the Pearson correlation coefficient r is calculated, its absolute value is compared to see if it exceeds the preset threshold (0.7 in this case). If r>0.7, it is considered that this set of electromagnetic interference has a significant correlation with the anti-interference performance of the DTU and is marked as a risky electromagnetic interference signal. Further measures need to be taken to optimize the filter parameters of the DTU to resist such interference.

[0107] 105. Generate a filter parameter optimization strategy according to the interference frequency of the risky electromagnetic interference signal;

[0108] Specifically, optionally, in a sixth implementation of the first aspect of the present invention, generating a filter parameter optimization strategy corresponding to the interference frequency of the risk electromagnetic interference signal includes:

[0109] Obtaining the interference frequency of the risky electromagnetic interference signal;

[0110] Calculating the optimized inductance value and the optimized capacitance value corresponding to the interference frequency of the risky electromagnetic interference signal by using a cut-off frequency calculation formula;

[0111] The cut-off frequency calculation formula is:

[0112] ;

[0113] in, is the cut-off frequency; C is the optimized capacitance value; L is the optimized inductance value;

[0114] Let the cutoff frequency Close to or slightly higher than the interference frequency of the risk electromagnetic interference signal, the values ​​of the optimized capacitance value C and the optimized inductance value L are adjusted accordingly, and the filter parameters are set according to the values ​​of the optimized inductance value and the optimized capacitance to form the filter parameter optimization strategy.

[0115] More specifically, for example, the bit error rate of DTU increases significantly under RF interference in the frequency band near 2.4 GHz, and a filter with a cutoff frequency close to but not exceeding 2.4 GHz needs to be designed. If the standard inductor L=10μH is selected, calculate the required capacitor C value:

[0116] ≈1.125 F; a filter with a capacitance value of about 1.125 pF is set up in combination with a 10μH inductor, which can theoretically effectively filter out risk interference near 2.4 GHz.

[0117] 106. Adjust the filter parameters of the DTU according to the filter parameter optimization strategy.

[0118] Specifically, filter parameters are set or corresponding filters are installed according to the optimized inductance value and the optimized capacitance value, so as to eliminate risky electromagnetic interference signals in a targeted manner and reduce electromagnetic risks.

[0119] More specifically, assume that the previous analysis has identified a set of risky EMI signal characteristics, as well as the frequency bands that need to be optimized, identified by the Pearson correlation coefficient analysis. Based on the spectrum analysis, the optimized inductance value L is determined to be 220μH and the optimized capacitance value C is determined to be 100nF, in order to effectively filter out risky interference within a specific frequency range. If the DTU is equipped with an LC filter with adjustable parameters, it is directly adjusted to the target value to suppress the conducted EMI on the power line. If a single LC filter is not sufficient to cover all risky frequency bands, consider adding additional filter modules, each optimized for a specific frequency range. For example, for high-frequency interference above the cutoff frequency of the main filter, a small LC filter or RC filter with a higher frequency response can be added. Ensure that the newly added filter is compatible with the existing system, does not introduce new resonance points or cause excessive insertion loss, and ensures the stability of the overall system. After adjusting and installing the filter, re-perform electromagnetic compatibility testing, including conducted and radiated emission tests, to verify the effectiveness of the optimization measures. Use a spectrum analyzer to check whether the amplitude of the interference signal in the originally identified risky frequency band is significantly reduced. At the same time, monitor the entire working frequency band to confirm that no new interference or system performance degradation is introduced due to filter adjustment. According to the test results, if further optimization is needed, repeat the above adjustment and test process until the expected electromagnetic compatibility performance is achieved. Through the above steps, we not only optimize the filter parameters of the DTU in a targeted manner, but also verify the optimization effect through actual testing, ensuring that the equipment can maintain a stable and reliable working state when facing risky electromagnetic interference signals, reducing the overall electromagnetic risk.

[0120] In the embodiment of the present invention, the beneficial effect is that by presetting and applying simulated electromagnetic interference signals with different parameters, not only the interference types within a wide frequency range are covered, but also the intensity index of each group of interference is calculated to achieve a quantitative description of the interference characteristics, which lays the foundation for subsequent accurate testing and analysis. Such a design makes the test closer to the real environment, and can effectively evaluate the response and adaptability of the DTU when facing diversified interference. The synchronous data transmission test can efficiently and quickly identify potential communication failure points, ensuring the timeliness and authenticity of the test results.

[0121] The anti-interference performance index is calculated by introducing the entropy weight method, which is an objective weighting method. It automatically determines the weight of each indicator based on the discrete degree of the data, avoiding the interference of subjective factors, making the calculation of the anti-interference performance index more scientific and reasonable. This process fully considers the influence of all communication status characteristics, ensures the comprehensiveness and fairness of the evaluation, and improves the credibility of the evaluation results.

[0122] The correlation value between the interference intensity index and the anti-interference performance index is calculated based on the Pearson correlation coefficient, which provides a quantitative perspective for understanding the specific relationship between interference and DTU performance degradation. By setting a preset threshold, the risk electromagnetic interference signals that pose a significant threat to DTU performance can be efficiently screened out. This strategy greatly enhances the pertinence and efficiency of the test and points out the direction for subsequent optimization measures. On this basis, according to the specific frequency of the risk electromagnetic interference signal, a corresponding filter parameter optimization strategy is proposed. Through precise matching of the interference frequency, the optimization strategy can more accurately adjust the filter parameters, effectively suppress harmful interference, and enhance the signal reception and processing capabilities of the DTU, thereby improving the electromagnetic compatibility and stability of the entire system.

[0123] The filter parameters of DTU are adjusted according to the optimization strategy. This dynamic adjustment mechanism enables DTU to dynamically adapt to the changing electromagnetic environment, which not only improves its working reliability under complex conditions, but also extends the service life of the equipment and reduces maintenance costs.

[0124] The electromagnetic stability test method of the DTU in the embodiment of the present invention is described above. The electromagnetic stability test system of the DTU in the embodiment of the present invention is described below. Figure 2 , an embodiment of the electromagnetic stability test system of the DTU in the embodiment of the present invention includes: a multi-dimensional simulated electromagnetic interference signal generator, a bit error detector, a processing module and a setting module, and each part is electrically connected;

[0125] Specifically, the multi-dimensional simulated electromagnetic interference signal generator is used to apply each group of the simulated electromagnetic interference signals to the DTU in sequence;

[0126] Specifically, in a second implementation of the second aspect of the present invention, the bit error detector is used to synchronously perform a data transmission test on the DTU to obtain communication status data of the DTU under each group of the simulated electromagnetic interference signals;

[0127] Specifically, the processing module is used to preset several groups of simulated electromagnetic interference signals with different interference parameters, calculate the interference intensity index of each group of simulated electromagnetic interference signals; based on the entropy weight method, calculate the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals according to the communication status data; based on the Pearson correlation coefficient formula, calculate the correlation value between the interference intensity index and the anti-interference performance index; according to the correlation value and the preset threshold, screen the risk electromagnetic interference signal; according to the interference frequency of the risk electromagnetic interference signal, generate a filter parameter optimization strategy; and also used to execute the electromagnetic stability test method of the DTU as described above;

[0128] Specifically, the setting module is used to adjust the filter parameters of the DTU according to the filter parameter optimization strategy.

[0129] In the embodiment of the present invention, the beneficial effect is that by comprehensively evaluating the multi-dimensional communication status and automatically adjusting the optimization strategy, not only the accuracy and efficiency of the test are significantly improved, the whole process from testing to optimization strategy formulation and then to implementation is optimized, but also the stability and adaptability of DTU in actual deployment are improved, providing a systematic and scientific solution for the electromagnetic stability evaluation of DTU.

[0130] The present invention also provides an electromagnetic stability testing device for a DTU, wherein the electromagnetic stability testing device for the DTU comprises a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes the steps of the electromagnetic stability testing method for the DTU in the above-mentioned embodiments.

[0131] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the electromagnetic stability test method of the DTU.

[0132] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0133] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0134] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for testing electromagnetic stability of a DTU, characterized in that: The electromagnetic stability test method of the DTU includes: Preset several groups of simulated electromagnetic interference signals with different interference parameters, and calculate the interference intensity index of each group of simulated electromagnetic interference signals; specifically, the interference parameters include: interference frequency, interference power and interference duration; calculate the interference intensity index according to the interference parameters; the calculation formula of the interference intensity index is: ;in is the interference intensity index; is the interference power; is the reference power, which is 1 milliwatt; Indicates that the interference frequency deviates from the center frequency The difference is used to measure the impact of frequency offset; is the duration of the interference, reflecting the duration effect of the interference; , , are empirical parameters, representing the frequency offset penalty coefficient, time attenuation coefficient, and exponential factor of time influence respectively; exp represents the natural exponential function; Applying each group of the simulated electromagnetic interference signals to the DTU in turn, and synchronously performing a data transmission test on the DTU to obtain communication status data of the DTU under each group of the simulated electromagnetic interference signals; Based on the entropy weight method, according to the communication state data, the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals is calculated; specifically comprising: standardizing the communication state data; based on the entropy weight method, by using the anti-interference performance index formula, the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals is calculated; the anti-interference performance index formula is: ;in, is the anti-interference performance index under the simulated electromagnetic interference signal of the i-th group; n is the number of evaluation indicators, including bit error rate, packet loss rate, transmission rate, number of communication interruptions and self-recovery time; is the weight of the ith indicator, which is calculated by the entropy weight method and reflects the influence of each indicator on the overall communication quality; It is the value of each evaluation index after standardization, which is used for comparison between indicators of different dimensions; Based on the Pearson correlation coefficient, the correlation value between the interference intensity index and the anti-interference performance index is calculated; according to the correlation value and the preset threshold, the risk electromagnetic interference signal is screened; specifically including: standardizing the interference intensity index and the anti-interference performance index; calculating the Pearson correlation coefficient between the interference intensity index and the anti-interference performance index; the Pearson correlation coefficient formula is: ; Where r is the correlation value; are the values ​​of the interference intensity index and the anti-interference performance index at the jth observation point respectively; and are the sample means of the two variables respectively; N is the number of observation points; the simulated electromagnetic interference signal corresponding to the correlation coefficient exceeding the preset threshold is identified as the risk electromagnetic interference signal; Generating a filter parameter optimization strategy accordingly according to the interference frequency of the risky electromagnetic interference signal; The filter parameters of the DTU are adjusted according to the filter parameter optimization strategy.

2. The electromagnetic stability test method of DTU according to claim 1, characterized in that: The step of applying each group of the simulated electromagnetic interference signals to the DTU in sequence, and synchronously performing a data transmission test on the DTU to obtain communication status data of the DTU under each group of the simulated electromagnetic interference signals includes: Installing and calibrating a multi-dimensional simulated electromagnetic interference signal generator, and generating the simulated electromagnetic interference signal accordingly according to preset interference parameters; applying the simulated electromagnetic interference signal to the DTU in sequence; While applying the simulated electromagnetic interference signal, starting a data transmission test of the DTU; Continuously sending data packets to the test end data execution through the DTU, wherein the content of the data packets includes a randomly generated binary sequence; The communication status data of the DTU under each group of the simulated electromagnetic interference signals is detected and recorded in real time.

3. The electromagnetic stability test method of DTU according to claim 2, characterized in that: The real-time detection and recording of the communication status data of the DTU under each group of the simulated electromagnetic interference signals includes: The received data is compared with the original transmitted data through the error detector, and the ratio of the number of error bits to the total number of bits is calculated to obtain the bit error rate; During the data packet transmission process, the ratio of the number of data packets that are not correctly received to the total number of data packets sent is calculated to obtain the packet loss rate; By using the timer and data volume statistics, the amount of data transmitted within the preset time is divided by the time to obtain the average transmission rate; When the number of consecutive unconfirmed data packets reaches a preset value, it is determined as a communication interruption, the number of communication interruptions is recorded, and the number of communication interruptions is obtained; After each group of simulated electromagnetic interference signals stops, record the time interval from the end of the last interruption to the successful recovery of the DTU and maintaining stable communication to obtain the self-recovery time; The bit error rate, packet loss rate, transmission rate, number of communication interruptions and self-recovery time are time-stamped and associated with corresponding electromagnetic interference types to generate the communication status data.

4. The electromagnetic stability test method of DTU according to claim 1, characterized in that: The method of generating a filter parameter optimization strategy according to the interference frequency of the risky electromagnetic interference signal includes: Obtaining the interference frequency of the risky electromagnetic interference signal; Calculating the optimized inductance value and the optimized capacitance value corresponding to the interference frequency of the risky electromagnetic interference signal by using a cut-off frequency calculation formula; The cut-off frequency calculation formula is: ； in, is the cut-off frequency; C is the optimized capacitance value; L is the optimized inductance value; Let the cutoff frequency Close to or slightly higher than the interference frequency of the risk electromagnetic interference signal, the values ​​of the optimized capacitance value C and the optimized inductance value L are adjusted accordingly, and the filter parameters are set according to the values ​​of the optimized inductance value and the optimized capacitance to form the filter parameter optimization strategy.

5. A DTU electromagnetic stability test system, characterized in that: The DTU's electromagnetic stability test system includes: A multi-dimensional simulated electromagnetic interference signal generator: used to apply each group of the simulated electromagnetic interference signals to the DTU in turn; Error detector: used for synchronously performing data transmission test on the DTU to obtain communication status data of the DTU under each group of simulated electromagnetic interference signals; A processing module is used to preset several groups of simulated electromagnetic interference signals with different interference parameters, and calculate the interference intensity index of each group of simulated electromagnetic interference signals; specifically, the interference parameters include: interference frequency, interference power and interference duration; the interference intensity index is calculated according to the interference parameters; the calculation formula of the interference intensity index is: ;in is the interference intensity index; is the interference power; is the reference power, which is 1 milliwatt; Indicates that the interference frequency deviates from the center frequency The difference is used to measure the impact of frequency offset; is the duration of the interference, reflecting the duration effect of the interference; , , are empirical parameters, representing the frequency offset penalty coefficient, the time attenuation coefficient and the exponential factor of the time influence respectively; exp represents the natural exponential function; based on the entropy weight method, according to the communication state data, the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals is calculated; specifically comprising: standardizing the communication state data; based on the entropy weight method, by the anti-interference performance index formula, calculating the anti-interference performance index of the DTU under each group of the simulated electromagnetic interference signals; the anti-interference performance index formula is: ;in, is the anti-interference performance index under the simulated electromagnetic interference signal of the i-th group; n is the number of evaluation indicators, including bit error rate, packet loss rate, transmission rate, number of communication interruptions and self-recovery time; is the weight of the ith indicator, which is calculated by the entropy weight method and reflects the influence of each indicator on the overall communication quality; It is the value of each evaluation index after standardization, which is used for comparison between indicators of different dimensions; based on the Pearson correlation coefficient formula, the correlation value between the interference intensity index and the anti-interference performance index is calculated; according to the correlation value and the preset threshold, the risk electromagnetic interference signal is screened; specifically including: standardizing the interference intensity index and the anti-interference performance index; calculating the Pearson correlation coefficient between the interference intensity index and the anti-interference performance index; the Pearson correlation coefficient formula is: ; Where r is the correlation value; are the values ​​of the interference intensity index and the anti-interference performance index at the jth observation point respectively; and are the sample means of the two variables respectively; N is the number of observation points; the simulated electromagnetic interference signal corresponding to the correlation coefficient exceeding the preset threshold is identified as the risk electromagnetic interference signal; according to the interference frequency of the risk electromagnetic interference signal, a filter parameter optimization strategy is generated accordingly; and the electromagnetic stability test method of the DTU according to any one of claims 1 to 4 is also executed; A setting module is used to adjust the filter parameters of the DTU according to the filter parameter optimization strategy.

6. A DTU electromagnetic stability test device, characterized in that: The electromagnetic stability test equipment of the DTU comprises: a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory to enable the electromagnetic stability testing device of the DTU to execute the electromagnetic stability testing method of the DTU as described in any one of claims 1-4.

7. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the electromagnetic stability testing method of the DTU according to any one of claims 1 to 4 is implemented.

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