HPLC communication device with frequency band adaptive selection function

Abstract

This invention relates to the field of carrier communication technology, specifically to an HPLC communication device with adaptive frequency band selection. The device includes a data acquisition module for acquiring current spectrum, voltage spectrum, and a comprehensive frequency range; and a frequency band adaptive selection module for acquiring the target current and voltage sub-bands corresponding to each frequency band to be analyzed. Then, based on the energy of each voltage sub-band, the time distance from its preceding running time segment to the current frequency band selection time, and energy temporal stability, a weighted avoidance index value for each target voltage sub-band is obtained. The weighted avoidance index values ​​are then weighted and fused to obtain a comprehensive avoidance index value for each frequency band to be analyzed. Based on the comprehensive avoidance index value and HPLC communication frequency band constraints, a set of communication frequency bands for the nearest future transmission time to the current frequency band selection time is obtained. Furthermore, this invention can improve communication quality and reliability.

Description

Technical Field

[0001] This invention relates to the field of carrier communication technology, and more specifically to an HPLC communication device with frequency band adaptive selection function. Background Technology

[0002] Because high-speed power line carrier (HPLC) communication technology can directly utilize existing power lines for data transmission without the need to lay additional communication lines, it has been widely used in many fields, such as electricity information collection, smart meter networking, transformer area monitoring, and power distribution automation.

[0003] Existing HPLC communication devices typically use fixed or limited switching transmission frequency bands during data transmission. However, in different time periods, under different load conditions, and in complex electromagnetic environments, power line environments are generally plagued by complex interference factors such as harmonic interference, load fluctuations, and noise from power electronic equipment. This causes the channel quality of different frequency bands to fluctuate dynamically with changes in operating conditions. In other words, the presence of complex interference factors affects the reliability and quality of communication based on fixed or limited switching transmission frequency bands. For example, when the current communication transmission frequency band is subjected to strong interference, it can easily lead to problems such as increased bit error rate, data packet loss, increased retransmission frequency, and increased communication delay. This, in turn, affects the transmission quality, real-time performance, and reliability of electrical information data. Therefore, how to adaptively select frequency bands to improve communication quality and reliability in high-speed power line carrier communication has become an urgent problem to be solved. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides an HPLC communication device with adaptive frequency band selection functionality, the specific technical solution of which is as follows:

[0005] One embodiment of the present invention provides an HPLC communication device with frequency band adaptive selection function, the HPLC communication device comprising:

[0006] The data acquisition module is used to acquire the current spectrum and voltage spectrum of the preceding running time segment corresponding to the current frequency band selection time, as well as the comprehensive frequency range corresponding to all preceding running time segments.

[0007] The frequency band adaptive selection module is used to obtain the confidence coefficient between frequency points in the current spectrum and voltage spectrum based on the similarity between frequency points in the spectrum, and to divide the comprehensive frequency interval into various frequency bands to be analyzed based on the confidence coefficient. Based on the frequency bands to be analyzed, the module performs spectrum extraction on the current spectrum and voltage spectrum of all preceding running time segments to obtain the target current sub-band and target voltage sub-band corresponding to each frequency band to be analyzed. Based on the similarity between each target voltage sub-band and other target voltage sub-bands, the module obtains the energy timing stability of each target voltage sub-band. The weighted avoidance index value of each target voltage sub-band is obtained by considering the voltage sub-band energy, the time distance from the preceding running time segment to the current frequency band selection time, and the energy time series stability. The average weighted avoidance index value of all target voltage sub-bands corresponding to each frequency band to be analyzed and the average weighted avoidance index value of all target current sub-bands corresponding to each frequency band to be analyzed are weighted and fused to obtain the comprehensive avoidance index value of each frequency band to be analyzed. Based on the comprehensive avoidance index value and HPLC communication frequency band constraints, a set of communication frequency bands for the future transmission time closest to the current frequency band selection time is obtained.

[0008] Beneficial Effects: This invention divides the comprehensive frequency range into frequency bands to be analyzed based on the reliability coefficients between frequency points in the current and voltage spectrum diagrams. Then, based on the frequency bands to be analyzed, the current and voltage spectrum diagrams of all preceding running time segments are extracted to obtain the target current sub-bands and target voltage sub-bands corresponding to each frequency band to be analyzed. Next, the energy temporal stability of each target voltage sub-band is obtained based on the similarity between each target voltage sub-band and other target voltage sub-bands. Finally, based on the energy of each voltage sub-band, the time distance from its preceding running time segment to the current frequency band selection time, and the energy temporal stability, a weighted avoidance index value for each target voltage sub-band is obtained. Finally, the energy of all target voltage sub-bands corresponding to each frequency band to be analyzed is further analyzed. The weighted average avoidance index value and the weighted average avoidance index value of all target current sub-bands are weighted and fused to obtain the comprehensive avoidance index value of each frequency band to be analyzed. Finally, based on the comprehensive avoidance index value and HPLC communication frequency band constraints, a set of communication frequency bands for the future transmission time closest to the current frequency band selection time is obtained. Moreover, the adaptive frequency band selection strategy provided by this invention can utilize multi-source spectral information of voltage and current to dynamically reflect the impact of power grid harmonics, load changes and non-stationary disturbances on the communication channel, enabling the HPLC communication device to actively avoid high interference frequency bands and select low interference and stable channels, thereby significantly improving the anti-interference capability, transmission reliability and communication stability of HPLC communication, and thus improving communication quality and communication reliability. Detailed Implementation

[0009] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the protection scope of the embodiments of the present invention.

[0010] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art.

[0011] This embodiment provides an HPLC communication device with adaptive frequency band selection function, which is described in detail below:

[0012] The data acquisition module 01 is used to acquire the current spectrum and voltage spectrum of the preceding running time segment corresponding to the current frequency band selection time, as well as the comprehensive frequency range corresponding to all preceding running time segments.

[0013] Due to the presence of harmonics, impulse noise, switching disturbances, and other non-stationary interferences during power system operation under different time periods, load access states, and complex electromagnetic environments, these interferences manifest as specific spectral energy distributions in voltage and current signals. When communication frequency bands overlap or approach interference frequency bands, the stability and reliability of data transmission are reduced, leading to problems such as increased bit error rate, data packet loss, increased retransmission frequency, and increased communication delay. Current frequency band selection strategies lack real-time perception and adaptive adjustment capabilities for power line channel status and spectral interference, making it difficult to select better or less interfered communication frequency bands in a timely manner. To improve the reliability and quality of communication in the HPLC communication device, this embodiment analyzes the spectrum of historical power line voltage or current data, dynamically divides frequency bands, and evaluates the comprehensive avoidance index value of each frequency band. Then, under the premise of meeting the HPLC communication bandwidth constraints, it prioritizes the selection of frequency bands with low comprehensive avoidance index values ​​for data transmission, thereby improving the anti-interference capability, data transmission stability, and communication efficiency of the HPLC communication link, and ultimately achieving the goal of improving communication reliability and quality.

[0014] This embodiment first obtains the sample historical time period for voltage or current historical data spectrum analysis at the current frequency band selection time and records it as the sample historical time period at the current frequency band selection time. Subsequently, spectrum analysis of historical current and voltage data within the preset historical time period will be used as data support for subsequent adaptive selection of transmission frequency bands. The selection of the sample historical time period needs to be adjusted by the implementer according to the actual communication environment, computing efficiency, and frequency band selection reliability requirements. For example, in this embodiment, the continuous 10 minutes before the current frequency band selection time can be used as the sample historical time period at this time. Then, the preset historical time period before the current frequency band selection time is divided into non-overlapping segments using a preset duration, and each time segment obtained from the division is recorded as the preceding running time segment corresponding to the current frequency band selection time. The preset historical time period is divided into short time units here in order to ensure the accuracy of spectrum analysis while taking into account the response capability to the time-varying characteristics of power grid disturbances. In specific applications, the implementer needs to set the preset duration according to the actual situation such as the subsequent spectrum analysis accuracy and the response capability to the time-varying characteristics of power grid disturbances. For example, in this embodiment, the preset duration can be set to 1 second.

[0015] Then, the voltage and current data collected by the voltage and current sensors deployed in the HPLC communication device during each preceding operating time segment are acquired. All voltages and currents collected by the voltage and current sensors in each preceding operating time segment are sorted according to their acquisition order. The resulting time sequences are recorded as the voltage data segment and current data segment corresponding to the preceding operating time segment. The voltage and current collected by the voltage and current sensors deployed in the HPLC communication device represent the voltage and current of the power lines (grid). Subsequently, Fourier transforms are performed on each voltage and current data segment. The spectrum obtained from the Fourier transform of the voltage data segment is recorded as the voltage spectrum, and the spectrum obtained from the Fourier transform of the current data segment is recorded as the current spectrum. Therefore, the voltage spectrum and current spectrum for each preceding operating time segment can be obtained.

[0016] Because the distribution and intensity of complex interference factors such as harmonic interference, load fluctuations, and power electronic equipment noise in the power line environment are dynamically changing at different frequencies, in order to comprehensively capture the complex interference that may exist, it is necessary to first form a unified frequency analysis range based on the frequency range of all preceding operating time segments. That is, in this embodiment, it is necessary to first obtain the frequency coverage range of the voltage spectrum and the frequency coverage range of the current spectrum for each preceding operating time segment, and take the union of the frequency coverage ranges of the voltage spectrum and the current spectrum for all preceding operating time segments as the frequency analysis range for subsequent unified analysis, and record it as the comprehensive frequency interval. Subsequently, the voltage spectrum and current spectrum of the preceding operating time segments will be combined to divide the comprehensive frequency interval into frequency bands. Then, quantitative indicators such as the comprehensive avoidance selection degree will be calculated for each divided frequency band to evaluate the severity and stability of interference in each frequency band, providing a data basis for dynamically selecting communication frequency bands.

[0017] Therefore, this embodiment obtains the current spectrum, voltage spectrum, and comprehensive frequency range of the preceding running time segment corresponding to the current frequency band selection time through the above acquisition.

[0018] The frequency band adaptive selection module 02 is used to obtain the confidence coefficient between frequency points in the current spectrum and voltage spectrum based on the similarity between frequency points in the spectrum, and to divide the comprehensive frequency interval into each frequency band to be analyzed based on the confidence coefficient; to extract the spectrum of the current spectrum and voltage spectrum of all preceding running time segments based on the frequency band to be analyzed, to obtain the target current sub-frequency band and target voltage sub-frequency band corresponding to each frequency band to be analyzed, and to obtain the energy timing stability of each target voltage sub-frequency band based on the similarity between each target voltage sub-frequency band and other target voltage sub-frequency bands. The energy of each voltage sub-band, the time distance from the preceding running time segment to the current frequency band selection time, and the energy temporal stability are used to obtain the weighted avoidance index value of each target voltage sub-band. The average weighted avoidance index value of all target voltage sub-bands corresponding to each frequency band to be analyzed and the average weighted avoidance index value of all target current sub-bands corresponding to each frequency band to be analyzed are weighted and fused to obtain the comprehensive avoidance index value of each frequency band to be analyzed. Based on the comprehensive avoidance index value and HPLC communication frequency band constraints, a set of communication frequency bands for the future transmission time closest to the current frequency band selection time is obtained.

[0019] After obtaining the comprehensive frequency range, this embodiment then divides the comprehensive frequency range into frequency bands to be analyzed based on the current and voltage spectrum diagrams of the preceding running time segments. Subsequently, the energy stability of each frequency band to be analyzed is evaluated in the time dimension, and the comprehensive avoidance index value of the frequency band to be analyzed is quantified by combining the spectral energy intensity and the time attenuation factor. The comprehensive avoidance index value reflects the interference situation of the corresponding frequency band, and using the comprehensive avoidance index value as the basis for selecting communication frequency bands ensures that the subsequently selected transmission or communication frequency bands have a low interference level and a highly stable and reliable channel. Therefore, the specific process of dividing and obtaining the frequency bands to be analyzed is as follows:

[0020] First, based on the similarity between frequency points in the current spectrum and voltage spectrum, the confidence coefficient between frequency points in the current spectrum and voltage spectrum is obtained. The confidence coefficient reflects the probability that a frequency point in the spectrum is assigned to the same sub-band, and is the basis for subsequent division of the frequency band to be analyzed. Since the method for obtaining the confidence coefficient between frequency points in the current spectrum is the same as that for obtaining the confidence coefficient between frequency points in the voltage spectrum, this embodiment will describe the process of obtaining the confidence coefficient between the i-th and j-th frequency points in any voltage spectrum as an example for ease of understanding. The i-th and j-th frequency points in the voltage spectrum are not the same frequency point, that is, the specific process of obtaining the confidence coefficient between the i-th and j-th frequency points in the voltage spectrum is as follows:

[0021] The linearly normalized result of the absolute difference in amplitude between the i-th and j-th frequency points in the voltage spectrum is denoted as the first difference value. The linearly normalized result of the absolute difference in frequency value between the i-th and j-th frequency points in the voltage spectrum is denoted as the second difference value. The result of a complementary transformation of the mean values ​​of the first and second difference values ​​is denoted as the confidence coefficient between the i-th and j-th frequency points. The expression for the confidence coefficient between the i-th and j-th frequency points is as follows:

[0022]

[0023] The norm() function is the confidence coefficient between the i-th and j-th frequency points in the voltage spectrum, where norm() is the linear normalization function. Let be the amplitude corresponding to the i-th frequency point in the voltage spectrum. Let be the amplitude corresponding to the j-th frequency point in the voltage spectrum. Let i be the frequency value of the i-th frequency point in the voltage spectrum. Let j be the frequency value of the j-th frequency point in the voltage spectrum; the closer the frequency value and amplitude are to the i-th and j-th frequency points, the better. and The smaller the value, the more similar the spectral characteristics and positions of the two frequency points are, and the greater the probability that the i-th and j-th frequency points belong to the same frequency band or the same sub-band. and The smaller, The larger, that is The larger the value, the more similar the spectral characteristics and positions of the i-th and j-th frequency points are, and the greater the probability that the i-th and j-th frequency points belong to the same frequency band or sub-band; conversely, the smaller the value, the less similar the probability. The smaller the value, the less likely the i-th and j-th frequency points are to belong to the same frequency band or the same sub-band.

[0024] Then, based on the confidence coefficients between frequency points in the obtained current and voltage spectrum diagrams, the comprehensive frequency range is divided to obtain each frequency band to be analyzed; and the specific process of dividing the comprehensive frequency range based on the confidence coefficients to obtain each frequency band to be analyzed is as follows:

[0025] First, based on the confidence coefficients between adjacent frequency points in the voltage spectrum of each preceding running time segment, an optimization algorithm is used to find the final voltage coefficient segmentation threshold for each preceding running time segment and the set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment under the corresponding final voltage coefficient segmentation threshold within the confidence coefficient value range. Then, based on the confidence coefficients between adjacent frequency points in the current spectrum of each preceding running time segment, an optimization algorithm is used to find the final current coefficient segmentation threshold for each preceding running time segment and the set of segmented frequencies corresponding to the current spectrum of the preceding running time segment under the corresponding final current coefficient segmentation threshold within the confidence coefficient value range. The confidence coefficient value range is... .

[0026] Since the methods for obtaining the final voltage coefficient threshold for each preceding running time segment and the set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment under the final voltage coefficient threshold are the same as the methods for obtaining the final current coefficient threshold for each preceding running time segment and the set of segmented frequencies corresponding to the current spectrum of the preceding running time segment under the final current coefficient threshold, this embodiment will subsequently describe the process of obtaining the final voltage coefficient threshold for any preceding running time segment T and the set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment T under the final voltage coefficient threshold as examples. That is, the specific process of obtaining the final voltage coefficient threshold for the preceding running time segment T and the set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment T under the final voltage coefficient threshold is as follows:

[0027] The frequency coverage range of the voltage spectrum of the preceding running time segment T is denoted as the voltage frequency range of the preceding running time segment T. The Particle Swarm Optimization (PSO) algorithm is used to iteratively update the confidence coefficient within the confidence coefficient value range. The partitioning effect evaluation value corresponding to the voltage spectrum of the preceding running time segment T under the new confidence coefficient threshold obtained in each iteration is calculated. Iteration stops when a preset iteration stopping condition is met, and the confidence coefficient corresponding to the largest partitioning effect evaluation value in all iterations is selected as the final voltage coefficient partitioning threshold for the preceding running time segment T. The partitioning effect evaluation value corresponding to the voltage spectrum of the preceding running time segment T under any confidence coefficient c within the confidence coefficient value range is characterized by the number of voltage sub-bands and the average absolute deviation of the amplitude of the voltage sub-bands. The voltage sub-bands corresponding to the voltage spectrum of the preceding running time segment T under the confidence coefficient c are obtained by merging continuous regions with a confidence coefficient greater than confidence coefficient c between adjacent frequency points in the voltage spectrum of the preceding running time segment T through connected regions.

[0028] Furthermore, the above is based on the partitioning effect evaluation values ​​obtained under different confidence coefficients. The Particle Swarm Optimization (PSO) algorithm is used to search for the optimal confidence coefficient of the preceding running time segment T, which is essentially searching for the final voltage coefficient partitioning threshold of the preceding running time segment T. During the search, the position of each particle is represented as a candidate confidence coefficient, and the partitioning effect evaluation value is used as the fitness function. Through an iterative update mechanism of individual optimality and global optimality in the PSO, the position of the confidence coefficient is continuously optimized, gradually improving the fitness. The preset iteration stopping condition is: when the difference between the partitioning effect evaluation values ​​obtained from two adjacent iterations is less than a preset threshold R, and when... When the previous global optimal solution has remained the historical best, or when the preset number of iterations has been reached, the algorithm is determined to have converged and the iteration stops. In this embodiment, the implementer can set a preset threshold R and a preset number of iterations according to the actual situation such as the optimization accuracy requirements and optimization speed requirements. For example, R can be set to 0.01 and the preset number of iterations can be set to the empirical value of 100. Finally, the confidence coefficient corresponding to the global optimal evaluation value or the evaluation value of the maximum partitioning effect in the iteration is used as the final coefficient partitioning threshold to obtain the best partitioning result. The particle swarm optimization algorithm optimization process is a well-known technology, and this embodiment obtains the partitioning threshold through the particle swarm optimization algorithm in order to avoid over-partitioning or under-partitioning as much as possible.

[0029] Next, extract all voltage sub-bands corresponding to the voltage spectrum of the preceding running time segment T under the final voltage coefficient division threshold, and denote the union of the boundary frequencies of all voltage sub-bands corresponding to the voltage spectrum of the preceding running time segment T under the final voltage coefficient division threshold as the set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment T.

[0030] Furthermore, the methods for obtaining the voltage sub-band or current sub-band corresponding to each preceding running time segment under each confidence coefficient within the confidence coefficient range are the same. Taking the acquisition process of the voltage sub-band corresponding to the voltage spectrum of the preceding running time segment T under confidence coefficient c as an example: Determine whether the confidence coefficient between the first and second frequency points in the voltage spectrum of the preceding running time segment T is greater than the confidence coefficient c. If it is greater, continue to determine whether the confidence coefficient between the second and third frequency points in the voltage spectrum of the preceding running time segment T is greater than the confidence coefficient c. If it is greater, continue to determine whether the confidence coefficient between the third and second frequency points in the voltage spectrum of the preceding running time segment T is greater than the confidence coefficient c. If the confidence coefficient between the fourth and fifth frequency points is greater than the confidence coefficient c, and if not, the third frequency point is taken as a voltage spectrum segmentation point corresponding to the preceding running time segment T under the confidence coefficient c. Then, the confidence coefficient between the fourth and fifth frequency points in the voltage spectrum of the preceding running time segment T is further determined. If it is greater than c, the confidence coefficient between the fifth and sixth frequency points in the voltage spectrum of the preceding running time segment T is further determined. If it is greater than c, the confidence coefficient between the sixth and seventh frequency points in the voltage spectrum of the preceding running time segment T is further determined. If not, the confidence coefficient between the fourth and fifth frequency points in the voltage spectrum of the preceding running time segment T is further determined. If the frequency is greater than c, then the 6th frequency point is taken as a voltage spectrum segmentation point corresponding to the preceding running time segment T under the confidence coefficient c. This process continues until the last frequency point in the voltage spectrum diagram of the preceding running time segment T is traversed. The traversal is performed in ascending order of frequency, thus obtaining all voltage spectrum segmentation points corresponding to the preceding running time segment T under the confidence coefficient c. In this embodiment, the boundary points of the voltage spectrum diagram of the preceding running time segment T are directly set as the voltage spectrum segmentation points corresponding to the preceding running time segment T under the confidence coefficient c. The boundary points of the voltage spectrum diagram of the preceding running time segment T include the lowest frequency point (the 1st point) and the highest frequency point (the last point). Then, based on the confidence coefficient... The voltage spectrum segmentation points corresponding to the preceding running time segment T under the coefficient c divide the voltage spectrum diagram of the preceding running time segment T into multiple sub-bands, all of which are denoted as the voltage sub-bands corresponding to the voltage spectrum diagram of the preceding running time segment T under the confidence coefficient c. That is, any two consecutive spectrum segmentation points in the voltage spectrum diagram of the preceding running time segment T can form a voltage sub-band. Except for the boundary points, the other spectrum segmentation points belong to the end point of the previous sub-band. The lowest frequency point is the starting point of the first voltage sub-band in the voltage spectrum diagram of the preceding running time segment T under the confidence coefficient c, and the highest frequency point is the end point of the last voltage sub-band in the voltage spectrum diagram of the preceding running time segment T under the confidence coefficient c.Therefore, the set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment T is also the set of frequencies formed by all voltage spectrum segmentation points corresponding to the voltage spectrum of the preceding running time segment T under the final voltage coefficient division threshold.

[0031] In this embodiment, the specific process for obtaining the partitioning effect evaluation value corresponding to the voltage spectrum diagram of the preceding running time segment T under the confidence coefficient c is as follows:

[0032] The first effect characterization value is denoted by linearly normalizing the number of voltage sub-bands corresponding to the voltage spectrum of the preceding running time segment T under confidence coefficient c to the result of complementary transformation. The second effect characterization value is denoted by complementary transformation of the mean of the normalized amplitude average absolute deviation of each voltage sub-band corresponding to the voltage spectrum of the preceding running time segment T under confidence coefficient c. The product of the first effect characterization value and the second effect characterization value is denoted by the partitioning effect evaluation value corresponding to the voltage spectrum of the preceding running time segment T under confidence coefficient c. The normalized amplitude average absolute deviation of any sub-band refers to the result of linearly normalizing the amplitude average absolute deviation of that sub-band. The amplitude average absolute deviation of any sub-band refers to the arithmetic mean of the absolute values ​​of the differences between the amplitude of each frequency component and its average amplitude in that sub-band. The calculation process is a known technique. The expression for the partitioning effect evaluation value corresponding to the voltage spectrum of the preceding running time segment T under confidence coefficient c is:

[0033]

[0034] in, Here, represents the evaluation value of the partitioning effect corresponding to the voltage spectrum of the preceding running time segment T under the confidence coefficient c, and norm() is the linear normalization function. Let be the number of voltage sub-bands corresponding to the voltage spectrum of the preceding running time segment T under the confidence coefficient c. The average absolute deviation of the amplitude of the u-th voltage sub-band is given by the voltage spectrum diagram of the preceding running time segment T under the confidence coefficient c. Constraints for over-partitioning The smaller the value, the better the segmentation effect may be when the confidence coefficient c is used as the segmentation threshold; The smaller the value, the closer the spectral amplitude of each frequency point within the u-th voltage sub-band is, indicating better consistency and better segmentation. The smaller the value, the better the overall partitioning effect under the confidence coefficient c; while smaller and The smaller, The larger, therefore The larger the value, the better the reliability coefficient c is as a partitioning threshold for dividing the voltage spectrum of the preceding running time segment T; conversely, the smaller the value, the better the effect of c on partitioning the voltage spectrum of the preceding running time segment T. The smaller the value, the worse the reliability coefficient c is as a partitioning threshold for dividing the voltage spectrum of the preceding running time segment T.

[0035] After obtaining the set of segmented frequencies corresponding to the voltage spectrum and the set of segmented frequencies corresponding to the current spectrum for each preceding running time segment, the union of the set of segmented frequencies corresponding to the voltage spectrum and the set of segmented frequencies corresponding to the current spectrum for all preceding running time segments is obtained and denoted as the comprehensive segmented frequency set. That is, the comprehensive segmented frequency set is the union of the set of segmented frequencies corresponding to all voltage spectrum and the set of segmented frequencies corresponding to all current spectrum, and the frequencies in the comprehensive segmented frequency set are the segmented frequencies. Then, the comprehensive frequency interval is divided using the frequencies in the comprehensive segmented frequency set to obtain each frequency band to be analyzed. That is, a frequency band to be analyzed can be formed between two consecutive segmented frequencies belonging to the comprehensive segmented frequency set and in the comprehensive frequency interval. In this embodiment, except for the boundary of the comprehensive frequency interval, all other frequencies belong to the previous frequency band, and the minimum and maximum values ​​of the comprehensive frequency interval belong to the first and last frequency bands to be analyzed in the comprehensive frequency interval, respectively. Furthermore, dividing the comprehensive frequency interval based on the comprehensive segmented frequency set can ensure the consistency and comparability of different signal sources in frequency domain division.

[0036] In this embodiment, after obtaining the frequency band to be analyzed, the current spectrum and voltage spectrum of all preceding running time segments are extracted based on each frequency band to be analyzed to obtain the sub-frequency bands corresponding to each frequency band to be analyzed. The sub-frequency bands extracted from the current spectrum belong to the current sub-frequency bands, and the sub-frequency bands extracted from the voltage spectrum belong to the voltage sub-frequency bands. The current sub-frequency bands and voltage sub-frequency bands whose frequency coverage completely overlaps with the frequency band to be analyzed are all recorded as the target current sub-frequency bands and target voltage sub-frequency bands corresponding to the frequency band to be analyzed. For example, for any current spectrum and any frequency band to be analyzed, if the frequency coverage of the current spectrum includes the frequency band to be analyzed, then the frequency band formed by all frequency components in the current spectrum belonging to the frequency band to be analyzed is a target current sub-frequency band corresponding to the frequency band to be analyzed.

[0037] Since the energy intensity and timing stability of sub-bands can reflect the interference situation of the frequency band, this embodiment will next evaluate the energy timing stability of the target voltage and current sub-bands. Furthermore, this embodiment will subsequently evaluate the energy timing stability of each target voltage sub-band based on the similarity between the target voltage sub-band and other target voltage sub-bands. Because the evaluation methods for the energy timing stability of the target voltage sub-band and the target current sub-band are the same, for ease of description, this embodiment will next describe the evaluation and acquisition process of the energy timing stability of the g-th target current sub-band corresponding to the f-th frequency band to be analyzed as an example. The specific acquisition process of the energy timing stability of the g-th target current sub-band is as follows:

[0038] The set of all target voltage sub-bands remaining in the comprehensive voltage sub-band set except for the g-th target voltage sub-band is denoted as the comparison set of the g-th target voltage sub-band. The set of all target voltage sub-bands corresponding to all frequency bands to be analyzed is the comprehensive voltage sub-band set. The negative normalized ratio of the absolute difference between the center frequency of the g-th target voltage sub-band and the center frequencies of each target voltage sub-band in the comparison set is denoted as the comparability weighting factor between the g-th target voltage sub-band and the corresponding target voltage sub-band in the comparison set. The energy time-series stability of the g-th target voltage sub-band is denoted as the energy temporal stability of the g-th target voltage sub-band, which is weighted by a comparability weighting factor between the g-th target voltage sub-band and the corresponding target voltage sub-bands in the comparison set, and then normalized to the complementary transformation. The mean of the amplitudes corresponding to all frequency points in any sub-band is the energy intensity of that sub-band. The median of any frequency band to be analyzed is the center frequency of each target voltage and current sub-band corresponding to that frequency band.

[0039]

[0040] in, Let represent the energy timing stability of the g-th target voltage sub-band, where norm() is a linear normalization function and exp() is an exponential function with base e. Let g be the energy intensity of the g-th target voltage sub-band. Let n be the energy intensity of the nth target voltage sub-band in the comparison set of the gth target voltage sub-band. Let g be the center frequency of the g-th target voltage sub-band. To compare the center frequency of the nth target voltage sub-band in the comparison set, N-1 is the total number of sub-bands in the comparison set of the gth target voltage sub-band, and N is also the total number of sub-bands in the comprehensive voltage sub-band set. This represents the difference in frequency band range between the g-th target voltage sub-band and the n-th target voltage sub-band. The smaller the value, the closer the frequency bands of the g-th target voltage sub-band and the n-th target voltage sub-band belong. Therefore, the comparability between these two sub-bands is higher, and consequently, the greater their contribution or participation should be when measuring energy timing stability. This is the comparability weighting factor between the g-th target voltage sub-band and the n-th target voltage sub-band when evaluating energy timing stability; The weighted average of the absolute values ​​of the energy intensity differences between the g-th target voltage sub-band and the other target voltage sub-bands is used to characterize the energy distribution of the g-th target voltage sub-band in time sequence. The smaller the value, the more stable the energy distribution of the g-th target voltage sub-band in time sequence. The larger the value, the more stable the energy distribution of the g-th target voltage sub-band in time sequence; conversely, the smaller the value, the more stable the energy distribution. The smaller the value, the more unstable the energy distribution of the g-th target voltage sub-band in time sequence; the subsequent evaluation of the sustained stability of the target voltage sub-band under interference will be based on the energy of the target voltage sub-band.

[0041] During transmission, if the spectral energy of a certain frequency band is large and the energy timing stability is high, it indicates that the corresponding frequency band may be affected by harmonics or fixed interference for a long time. Therefore, this frequency band should be avoided during communication. Furthermore, data from earlier historical events has less reference value for future power grid conditions. Thus, in this embodiment, after obtaining the time distance from the preceding operating time segment to the current frequency band selection time after obtaining the energy timing stability, the weighted avoidance index value of each target voltage sub-band is obtained based on the energy of each voltage sub-band, the time distance from the preceding operating time segment to the current frequency band selection time, and the energy timing stability. Since the evaluation and acquisition of the weighted avoidance index value of the target voltage sub-band and the target current sub-band are obtained in the same way, for ease of understanding, this embodiment will subsequently describe the evaluation and acquisition process of the weighted avoidance index value of the g-th target current sub-band as an example. The specific acquisition process of the weighted avoidance index value of the g-th target current sub-band is as follows:

[0042] The product of the linearly normalized energy intensity of the g-th target current sub-band to an exponential mapping and the energy temporal stability of the g-th target current sub-band is denoted as the avoidance index value of the g-th target current sub-band. The result of proportionally negatively normalizing the time interval between the median of the preceding running time segment to which the g-th target current sub-band belongs and the current frequency band selection time is denoted as the time reference weight of the g-th target current sub-band. The product of the avoidance index value of the g-th target current sub-band and the time reference weight of the g-th target current sub-band is denoted as the weighted avoidance index value of the g-th target current sub-band. The expression for the weighted avoidance index value of the g-th target current sub-band is:

[0043]

[0044]

[0045]

[0046] in, Let be the weighted avoidance index value of the g-th target current sub-band, and norm() be the linear normalization function. The time interval between the median of the preceding running time segment to which the g-th target current sub-band belongs and the current frequency band selection time. Let g be the avoidance index value for the g-th target current sub-band. The time reference weight for the g-th target current sub-band; The greater the sum The larger the value, the greater the energy and the higher the timing stability of the g-th target current sub-band. This indicates that the frequency band corresponding to the g-th target current sub-band is more likely to be affected by harmonics or fixed interference for a long time. Therefore, the frequency band corresponding to the g-th target current sub-band should be avoided during communication. The time distance between the median of the preceding running time segment to which the g-th target current sub-band belongs and the current frequency band selection time is reflected. A larger distance indicates that it is closer to the current frequency band selection time, but also indicates a weaker representativeness of the current communication environment. Therefore, when quantifying the weighted avoidance index value... The less involvement there is, the better it can fit the actual communication needs and more accurately select the interference frequency bands that need to be avoided first. By implementing a time-weighted mechanism, that is... Weighted, making The evaluation simultaneously incorporates spectral characteristic constraints and time-based dynamic attenuation capabilities, thereby enhancing adaptability to real-time communication environments. It can characterize the interference situation of the g-th target current sub-band. The larger the value, the stronger and more persistent the interference in the frequency band corresponding to the g-th target current sub-band, the lower the channel availability, the worse the communication quality as a transmission frequency band, and the more it needs to be avoided. Conversely, the smaller the value, the stronger the interference. The smaller the value, the worse the communication quality of the frequency band corresponding to the g-th target current sub-band is as a transmission frequency band. Therefore, the frequency band corresponding to the g-th target current sub-band should be selected first during communication.

[0047] Since a frequency band to be analyzed may correspond to multiple sub-bands, and voltage and current reflect different types of interference sources in the HPLC channel (e.g., voltage reflects the overall disturbance characteristics of the power grid, while current is more sensitive to load changes), multi-source fusion is required to improve the reliability of the evaluation. Therefore, in this embodiment, the mean weighted avoidance index value of all target voltage sub-bands corresponding to each frequency band to be analyzed and the mean weighted avoidance index value of all target current sub-bands corresponding to each frequency band to be analyzed are calculated first. Then, the mean weighted avoidance index value of all target voltage sub-bands corresponding to each frequency band to be analyzed and the mean weighted avoidance index value of all target current sub-bands corresponding to the corresponding frequency band to be analyzed are weighted and fused. The fusion result is recorded as the comprehensive avoidance index value of the corresponding frequency band to be analyzed; and the expression for the comprehensive avoidance index value of the f-th frequency band to be analyzed is:

[0048]

[0049] in, Let f be the comprehensive avoidance index value for the f-th frequency band to be analyzed. This is the average of the weighted avoidance index values ​​for all target current sub-bands corresponding to the f-th frequency band to be analyzed. This is the average of the weighted avoidance index values ​​of all target voltage sub-bands corresponding to the f-th frequency band to be analyzed. These are weighting coefficients; in practical applications, Calibration can be performed experimentally, for example, by statistically analyzing changes in bit error rate or packet loss rate under simulated harmonic interference conditions. This ensures that the fusion results are consistent with the actual communication performance; and and There is a positive correlation. The larger the value, the stronger and more persistent the interference in the f-th frequency band under analysis, the lower the channel availability, the worse the communication quality as a transmission frequency band, and the more it needs to be avoided. Conversely, the smaller the value, the stronger the interference. The smaller the value, the worse the communication quality of the f-th frequency band to be analyzed as a transmission frequency band, and the more preferentially the f-th frequency band to be analyzed should be selected as the communication frequency band during the communication process.

[0050] In this embodiment, after obtaining the comprehensive avoidance index value of each frequency band to be analyzed, the communication frequency band for the nearest future transmission time is obtained based on the comprehensive avoidance index value and the HPLC communication frequency band constraints. Specifically, the nearest future transmission time to the current frequency band selection time is denoted as the target transmission time, and the acquisition of the bandwidth required for the target transmission time is a known technique; the working frequency band range of HPLC communication is obtained; the set of all frequency bands to be analyzed that belong to the working frequency band range of HPLC communication is denoted as the available set; and all frequencies in the available set whose target avoidance index value is not 0 are... The set of frequency bands is denoted as the interference set, and the set of all frequency bands in the available set whose target avoidance index value is 0 is denoted as the non-interference set. Frequency bands in the interference set are interference bands, and frequency bands in the non-interference set are non-interference bands. The frequency bands in the interference set are arranged in ascending order of their comprehensive avoidance index value to obtain the interference band sequence. It is then determined whether the frequency bands in the non-interference set meet the bandwidth requirements for the target transmission time. If they do, the non-interference set is denoted as the communication frequency band set, and the frequency bands in the non-interference set are used as the communication frequency bands for the target transmission time. If the total bandwidth of all frequency bands in the non-interference set is less than or equal to the target avoidance index value, the set is considered non-interference. If the bandwidth is greater than or equal to the minimum bandwidth required for the target transmission time, it can be determined that the frequency bands in the non-interference set meet the bandwidth requirements for the target transmission time. However, if the frequency bands in the non-interference set do not meet the bandwidth requirements for the target transmission time, then frequency bands from the interfering frequency band sequence are sequentially added to the non-interference set to obtain a new set. This process continues until the frequency bands in the new set meet the bandwidth requirements for the target transmission time. The new set obtained at the point of cessation of addition is then used as the communication frequency band set for the target transmission time, and the frequency bands in the new set are used as the communication frequency bands for the target transmission time. In other words, if the frequency bands in the non-interference set do not meet the bandwidth requirements for the target transmission time, it is determined that... If the new set formed by the non-interference set and the first frequency band in the interference frequency band sequence does not meet the bandwidth required for the target transmission time, then the process continues to determine whether the new set formed by the non-interference set and the first two frequency bands in the interference frequency band sequence meets the bandwidth required for the target transmission time. This process continues until the new set meets the bandwidth required for the target transmission time, at which point the addition of interference frequency bands stops, and all frequency bands in the final new set are recorded as the communication frequency band set for the target transmission time. After obtaining the communication frequency band for the target transmission time, the obtained communication frequency band for the target transmission time is selected for transmission at the target transmission time.The frequency band selection time is the trigger point for evaluating the comprehensive frequency band avoidance index value, and it is also the trigger point for re-selecting the communication frequency band. In specific applications, implementers need to set it according to actual conditions such as computing resources, actual power environment, and communication performance requirements. However, the interval between the frequency band selection time and the nearest future transmission time must be greater than the data processing calculation time plus the hardware protocol switching time. For example, the time required from the triggering of the frequency band selection time to the completion of all analysis calculations and the output of the communication frequency band set, plus the time required for the physical layer and protocol stack of the HPLC communication device to switch to the new frequency band and prepare for transmission after the output of the communication frequency band set, must be less than the time interval between the corresponding frequency band selection time and the nearest future transmission time. In specific applications, implementers need to set the transmission frequency according to actual conditions such as business needs and system resources.

[0051] Furthermore, an example of communication frequency band selection is provided: A usable set Y is constructed based on the permitted operating frequency range of the communication equipment. Simultaneously, an interference set U is constructed based on the frequency bands with a non-zero comprehensive avoidance selection degree, representing different levels of interference risk in the current power line environment. The frequency bands in set U are not unusable, but rather indicate a higher probability of interference from harmonics, noise, etc. A higher comprehensive avoidance selection degree means that the frequency band should be prioritized for avoidance during transmission. For example, if the permitted operating frequency range of the communication equipment is 1Hz to 1000Hz, i.e., Y = [1, 1000]; and analysis shows that harmonics and noise in the current power grid are mainly concentrated in the 20Hz to 500Hz range, then this portion can be considered as the interference set U = [20, 500]. At this point, frequency bands other than U in the set are prioritized for data transmission. Specifically, frequency bands within the ranges of 1Hz to 19Hz and 501Hz to 1000Hz are used preferentially. When these frequency bands can meet the bandwidth requirements of the current service, they are used directly for communication transmission. However, when these frequency bands cannot meet the transmission needs, further frequency bands need to be selected from set U. The selection is based on the degree of comprehensive avoidance, proceeding from lowest to highest. For example, if set U contains three frequency bands: 20Hz to 100Hz, 101Hz to 300Hz, and 301Hz to 500Hz... Assuming the comprehensive avoidance selection degrees for the three frequency bands mentioned above are 0.82, 0.35, and 0.56 respectively, the 101Hz to 300Hz band is selected first, followed by the 301Hz to 500Hz band, and finally the 20Hz to 100Hz band. By gradually expanding frequency resources in order of increasing comprehensive avoidance selection degree until the bandwidth requirements of current communication are met, the occupation of high interference frequency bands is minimized while ensuring communication needs are met. This achieves dynamic optimization selection of HPLC communication frequency bands, improving the anti-interference capability, transmission stability, and reliability of the communication process.

[0052] Thus, this embodiment completes the adaptive selection of communication frequency bands during high-speed power line carrier communication. Furthermore, through the monitoring-evaluation-selection communication frequency band selection mechanism, this embodiment enables the HPLC communication device to actively avoid high-interference frequency bands and preferentially select low-interference and stable channels, thereby significantly improving anti-interference capability, transmission reliability, and communication stability.

[0053] In summary, this embodiment divides the comprehensive frequency range into frequency bands to be analyzed based on the confidence coefficient between frequency points in the current and voltage spectra. Then, based on the frequency bands to be analyzed, it extracts the spectrum from the current and voltage spectra of all preceding running time segments to obtain the target current sub-bands and target voltage sub-bands corresponding to each frequency band to be analyzed. Next, it obtains the energy temporal stability of each target voltage sub-band based on the similarity between each target voltage sub-band and other target voltage sub-bands. Finally, based on the energy of each voltage sub-band, the time distance from its preceding running time segment to the current frequency band selection time, and its energy temporal stability, it obtains the weighted avoidance index value of each target voltage sub-band. Finally, it analyzes all target voltage sub-bands corresponding to each frequency band to be analyzed. The weighted average avoidance index value and the weighted average avoidance index value of all target current sub-bands are weighted and fused to obtain the comprehensive avoidance index value of each frequency band to be analyzed. Finally, based on the comprehensive avoidance index value and HPLC communication frequency band constraints, a set of communication frequency bands for the future transmission time closest to the current frequency band selection time is obtained. Moreover, the adaptive frequency band selection strategy provided in this embodiment can utilize multi-source spectral information of voltage and current to dynamically reflect the impact of power grid harmonics, load changes and non-stationary disturbances on the communication channel, enabling the HPLC communication device to actively avoid high interference frequency bands and select low interference and stable channels, thereby significantly improving the anti-interference capability, transmission reliability and communication stability of HPLC communication, and thus improving communication quality and communication reliability.

[0054] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A HPLC communication device with a frequency band adaptive selection function, characterized in that, The HPLC communication device with frequency band adaptive selection function includes: The data acquisition module is used to acquire the current spectrum and voltage spectrum of the preceding running time segment corresponding to the current frequency band selection time, as well as the comprehensive frequency range corresponding to all preceding running time segments. The frequency band adaptive selection module is used to obtain the confidence coefficient between frequency points in the current spectrum and voltage spectrum based on the similarity between frequency points in the spectrum, and to divide the comprehensive frequency interval into various frequency bands to be analyzed based on the confidence coefficient. Based on the frequency bands to be analyzed, the module performs spectrum extraction on the current spectrum and voltage spectrum of all preceding running time segments to obtain the target current sub-band and target voltage sub-band corresponding to each frequency band to be analyzed. Based on the similarity between each target voltage sub-band and other target voltage sub-bands, the module obtains the energy timing stability of each target voltage sub-band. The weighted avoidance index value of each target voltage sub-band is obtained by considering the voltage sub-band energy, the time distance from the preceding running time segment to the current frequency band selection time, and the energy time series stability. The average weighted avoidance index value of all target voltage sub-bands corresponding to each frequency band to be analyzed and the average weighted avoidance index value of all target current sub-bands corresponding to each frequency band to be analyzed are weighted and fused to obtain the comprehensive avoidance index value of each frequency band to be analyzed. Based on the comprehensive avoidance index value and HPLC communication frequency band constraints, a set of communication frequency bands for the future transmission time closest to the current frequency band selection time is obtained.

2. The HPLC communication device with the frequency band adaptive selection function according to claim 1, wherein, Methods for obtaining the preceding runtime sub-segments, current spectrum, voltage spectrum, and combined frequency range include: The historical time period of the sample at the current selected frequency band is divided into each preceding running time segment according to a preset duration. The time data segments composed of voltage and current data collected by the voltage and current sensors on the HPLC communication device within each preceding running time segment are subjected to Fourier transform to obtain the voltage spectrum and current spectrum of the corresponding preceding running time segment. The union of the frequency coverage range of the voltage spectrum and the frequency coverage range of the current spectrum of all preceding running time segments is denoted as the comprehensive frequency interval.

3. The HPLC communication device with frequency band adaptive selection function of claim 1, wherein, The method for obtaining the confidence coefficient between the i-th and j-th frequency points in any voltage spectrum includes: The normalized result of the absolute difference of amplitude between the i-th frequency point and the j-th frequency point in the voltage spectrum is recorded as the first difference value. The normalized result of the absolute difference of frequency between the i-th frequency point and the j-th frequency point in the voltage spectrum is recorded as the second difference value. The result of complementary transformation of the mean values ​​of the first difference value and the second difference value is recorded as the confidence coefficient between the i-th and j-th frequency points.

4. The HPLC communication device with frequency band adaptive selection function according to claim 1, wherein, Methods for obtaining the frequency band to be analyzed include: Based on the confidence coefficients between adjacent frequency points in the voltage spectrum of each preceding running time segment, an optimization algorithm is used to find the voltage final coefficient division threshold corresponding to each preceding running time segment and the set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment under the corresponding voltage final coefficient division threshold within the confidence coefficient value range. Based on the confidence coefficients between adjacent frequency points in the current spectrum of each preceding running time segment, an optimization algorithm is used to find the current final coefficient division threshold corresponding to each preceding running time segment and the set of segmented frequencies corresponding to the current spectrum of the preceding running time segment under the corresponding current final coefficient division threshold within the confidence coefficient value range. The union of the set of segmented frequencies corresponding to the voltage spectrum diagrams and the set of segmented frequencies corresponding to the current spectrum diagrams of all preceding running time segments is denoted as the comprehensive segmented frequency set. The comprehensive frequency interval is then divided using the frequencies in the comprehensive segmented frequency set to obtain each frequency band to be analyzed.

5. The HPLC communication device with frequency band adaptive selection function as described in claim 4, characterized in that, The method for obtaining the final voltage coefficient partitioning threshold corresponding to any preceding running time segment includes: The frequency coverage range of the voltage spectrum of the preceding running time segment is denoted as the voltage frequency range of the preceding running time segment. The confidence coefficient is iteratively updated within the confidence coefficient range using a particle swarm optimization algorithm. The partitioning effect evaluation value corresponding to the voltage spectrum of the preceding running time segment is calculated for each iteration under the new confidence coefficient threshold. Iteration stops when a preset iteration stop condition is met, and the confidence coefficient corresponding to the largest partitioning effect evaluation value among all iterations is selected as the final voltage coefficient partitioning threshold. The partitioning effect evaluation value corresponding to the voltage spectrum of the preceding running time segment under any confidence coefficient c is obtained from the number of voltage sub-bands and the average absolute deviation of the amplitude of the voltage sub-bands. The voltage sub-bands corresponding to the voltage spectrum of the preceding running time segment under the confidence coefficient c are obtained by merging continuous regions with a confidence coefficient greater than the confidence coefficient c between adjacent frequency points in the voltage spectrum of the preceding running time segment through connected regions.

6. The HPLC communication device with frequency band adaptive selection function as described in claim 5, characterized in that, The set of segmented frequencies corresponding to the voltage spectrum of the preceding running time segment is the union of all voltage sub-band boundary frequencies corresponding to the voltage spectrum of the preceding running time segment under the voltage final coefficient division threshold.

7. The HPLC communication device with frequency band adaptive selection function as described in claim 5, characterized in that, The method for obtaining the partitioning effect evaluation value corresponding to the voltage spectrum diagram of the preceding running time segment under any confidence coefficient includes: The result of normalizing the number of voltage sub-bands corresponding to the voltage spectrum of the preceding running time segment under the confidence coefficient to the complementary transformation is recorded as the first effect characterization value. The complementary transformation result of the mean of the normalized amplitude average absolute deviation of each voltage sub-band corresponding to the voltage spectrum of the preceding running time segment under the confidence coefficient is recorded as the second effect characterization value. The product of the first effect characterization value and the second effect characterization value is recorded as the division effect evaluation value corresponding to the voltage spectrum of the preceding running time segment under the confidence coefficient.

8. The HPLC communication device with frequency band adaptive selection function as described in claim 1, characterized in that, Methods for obtaining the energy timing stability of each target voltage sub-band include: The mean value of the amplitude corresponding to all frequency points in each target voltage sub-band is recorded as the energy intensity of the corresponding target voltage sub-band; the median value of each frequency band to be analyzed is recorded as the center frequency of the target voltage sub-band corresponding to the frequency band to be analyzed; the set of all target voltage sub-bands corresponding to all frequency bands to be analyzed is recorded as the comprehensive voltage sub-band set. For any target voltage sub-band, the set of target voltage sub-bands remaining in the comprehensive voltage sub-band set excluding the target voltage sub-band is denoted as the comparison set of the target voltage sub-band. The negative normalized result of the ratio of the absolute difference between the center frequency of the target voltage sub-band and the center frequencies of each target voltage sub-band in the comparison set is denoted as the comparability weighting factor between the target voltage sub-band and each target voltage sub-band in the comparison set. The absolute difference in energy intensity between the target voltage sub-band and the target voltage sub-band in the comparison set is weighted and accumulated using the comparability weighting factor, and then normalized to the result of complementary transformation. This result is denoted as the energy temporal stability of the target voltage sub-band.

9. The HPLC communication device with frequency band adaptive selection function as described in claim 8, characterized in that, Methods for obtaining the weighted avoidance index value include: The product of the energy intensity of each target voltage sub-band normalized to an exponential mapping and the energy timing stability of the corresponding target voltage sub-band is recorded as the avoidance index value of the corresponding target voltage sub-band; the result of proportionally negatively normalizing the time interval between the median of the preceding running time sub-segment to which each target voltage sub-band belongs and the current frequency band selection time is recorded as the time reference weight of the corresponding target current sub-band; the product of the avoidance index value of each target voltage sub-band and the time reference weight of the corresponding target voltage sub-band is recorded as the weighted avoidance index value of the corresponding target voltage sub-band.

10. An HPLC communication device with frequency band adaptive selection function as described in claim 1, characterized in that, A method for obtaining a transmission frequency band for the future transmission time closest to the current frequency band selection time based on the comprehensive avoidance index value and HPLC communication frequency band constraints includes: The nearest future transmission time to the current frequency band selection time is recorded as the target transmission time, thus obtaining the working frequency band range for HPLC communication. The set of all frequency bands to be analyzed within the working frequency band range of HPLC communication is recorded as the available set. The set of all frequency bands in the available set whose target avoidance index value is not 0 is recorded as the interference set, and the set of all frequency bands whose target avoidance index value is 0 is recorded as the non-interference set. The frequency bands in the interference set are arranged in ascending order of their comprehensive avoidance index value to obtain the interference frequency band sequence. If the frequency bands in the non-interference set meet the bandwidth required for the target transmission time, then the non-interference set is used as the communication frequency band set for the target transmission time. If the frequency bands in the non-interference set do not meet the bandwidth required for the target transmission time, then the frequency bands in the interference frequency band sequence are sequentially added to the non-interference set to form a new set, until the frequency bands in the new set meet the bandwidth required for the target transmission time. The new set obtained when adding stops is then used as the communication frequency band set for the target transmission time.

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