Electric power dual-mode communication detection method and system and terminal equipment

Abstract

The invention provides an electric power dual-mode communication detection method and system and terminal equipment, and is suitable for the technical field of electric power dual-mode communication, and the method comprises the steps: carrying out the construction of a feature matrix according to power line carrier communication parameter information, wireless communication channel parameter information and electric power dual-mode communication environment information, generating initial power dual-mode communication feature matrix search group information; searching group information according to the initial power dual-mode communication feature matrix, and generating target power dual-mode communication feature matrix searching individual information; searching individual information according to the target power dual-mode communication feature matrix, and generating power dual-mode communication channel search information; and performing channel search processing according to the power dual-mode communication channel search information, and determining a power dual-mode communication channel so as to realize power dual-mode communication detection through the power dual-mode communication channel. The method is used for improving the channel searching efficiency and accuracy of power dual-mode communication in a complex power environment, and therefore the flexibility and robustness of power dual-mode communication detection are improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power dual-mode communication, and particularly relates to a power dual-mode communication detection method, system and terminal device. BACKGROUND

[0002] With the rapid development of smart grids and ubiquitous power Internet of Things, power communication systems have higher requirements for the reliability, real-time performance and stability of data transmission. The dual-mode fusion technology of power line carrier communication and wireless communication, which takes into account the wide coverage of power lines and the flexible and efficient advantages of wireless communication, has become an important development direction in the field of power communication.

[0003] In the prior art, fixed rules or simple threshold judgment methods are mainly used for dual-mode channel selection. For example, some schemes only determine whether to switch to a wireless communication channel according to the comparison result of the power line carrier signal strength and a preset threshold; some other schemes use a static weight allocation strategy to divide the data transmission amount of the dual-mode communication link according to a fixed proportion.

[0004] However, in the prior art, the fixed channel selection rules and the static weight allocation method cannot adapt to the dynamic changes of the power communication environment, resulting in low transmission efficiency and stability of the communication link, and failing to fully exert the complementary advantages of power line carrier and wireless communication, thereby restricting the improvement of the overall performance of the power dual-mode communication system. SUMMARY

[0005] Therefore, the embodiments of the present application provide a power dual-mode communication detection method, system and terminal device, aiming to solve the problem in the prior art that it is difficult to adapt to the dynamic changes of the power system environment, thereby reducing the effectiveness of channel search.

[0006] The first aspect of the embodiments of the present application provides a power dual-mode communication detection method, comprising:

[0007] obtaining a plurality of power line carrier communication parameter information, a plurality of wireless communication channel parameter information, a plurality of power dual-mode communication environment information and a plurality of power dual-mode communication fusion parameter information;

[0008] performing feature matrix construction according to the plurality of power line carrier communication parameter information, wireless communication channel parameter information, power dual-mode communication environment information and power dual-mode communication fusion parameter information, to generate a plurality of power dual-mode communication feature matrix information;

[0009] generating a plurality of initial power dual-mode communication feature matrix search group information according to the plurality of power dual-mode communication feature matrix information, preset group initial position information and preset group initial moving speed information;

[0010] According to the initial power dual-mode communication feature matrix search group information and preset power dual-mode communication feature matrix search iteration number information, target power dual-mode communication feature matrix search individual information is generated;

[0011] According to the target power dual-mode communication feature matrix search individual information, power dual-mode communication channel search information is generated;

[0012] According to the power dual-mode communication channel search information, channel search processing is performed to determine a power dual-mode communication channel, so as to realize power dual-mode communication detection through the power dual-mode communication channel.

[0013] The second aspect of the embodiment of the application provides a power dual-mode communication detection system, which comprises:

[0014] An information acquisition module is configured to acquire a plurality of power line carrier communication parameter information, a plurality of wireless communication channel parameter information, a plurality of power dual-mode communication environment information and a plurality of power dual-mode communication fusion parameter information;

[0015] A power dual-mode communication feature matrix information generation module is configured to perform feature matrix construction according to the power line carrier communication parameter information, the wireless communication channel parameter information, the power dual-mode communication environment information and the power dual-mode communication fusion parameter information, and generate a plurality of power dual-mode communication feature matrix information;

[0016] An initial power dual-mode communication feature matrix search group information generation module is configured to generate a plurality of initial power dual-mode communication feature matrix search group information according to the power dual-mode communication feature matrix information, preset group initial position information and preset group initial moving speed information;

[0017] A target power dual-mode communication feature matrix search individual information generation module is configured to generate target power dual-mode communication feature matrix search individual information according to the initial power dual-mode communication feature matrix search group information and preset power dual-mode communication feature matrix search iteration number information;

[0018] A power dual-mode communication channel search information generation module is configured to generate power dual-mode communication channel search information according to the target power dual-mode communication feature matrix search individual information;

[0019] A power dual-mode communication channel determination module is configured to perform channel search processing according to the power dual-mode communication channel search information, determine a power dual-mode communication channel, and realize power dual-mode communication detection through the power dual-mode communication channel.

[0020] The third aspect of the embodiments of the present application provides a terminal device, the terminal device comprising a memory and a processor, the memory storing a computer program executable on the processor, and the processor implements the steps of the power dual-mode communication detection method according to the first aspect.

[0021] The fourth aspect of the embodiments of the present application provides a computer readable storage medium, comprising: a computer program stored thereon, the computer program being executed by a processor to implement the steps of the power dual-mode communication detection method according to the first aspect.

[0022] Compared with the prior art, the embodiments of the present application have the beneficial effects that: the embodiments of the present application comprehensively capture the complex characteristics of power dual-mode communication, construct a multi-dimensional feature matrix, generate initial power dual-mode communication feature matrix search group information through preset group initial position and moving speed information, and generate target search individual information through iterative optimization, achieving efficient balance of global search and local optimization, quickly locking the optimal solution, and based on the target individual information, generating channel search information and processing, accurately determining the power dual-mode communication channel, not only realizing the automation and intelligent selection of the communication channel, but also through dynamic adaptation to environmental changes, optimizing the dual-mode communication fusion parameters, significantly improving the accuracy and reliability of channel detection, thereby improving the channel search efficiency and accuracy of power dual-mode communication in complex power environments, and improving the flexibility and robustness of power dual-mode communication detection. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0024] Figure 1 is an implementation flowchart of the power dual-mode communication detection method provided by the first embodiment of the present application;

[0025] Figure 2 is an implementation flowchart of the power dual-mode communication detection method provided by the second embodiment of the present application;

[0026] Figure 3 is an implementation flowchart of the power dual-mode communication detection method provided by the third embodiment of the present application;

[0027] Figure 4 is an implementation flowchart of the power dual-mode communication detection method provided by the fourth embodiment of the present application;

[0028] Figure 5is an implementation flow diagram of the power dual-mode communication detection method provided by Embodiment Five of the present application.

[0029] Figure 6 is an implementation flow diagram of the power dual-mode communication detection method provided by Embodiment Six of the present application.

[0030] Figure 7 is a structural diagram of the power dual-mode communication detection system provided by the present application.

[0031] Figure 8 is a schematic diagram of a terminal device provided by the present application. DETAILED DESCRIPTION

[0032] In the following description, for the purpose of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc., in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0033] In order to illustrate the technical solutions described in the present application, the following will be described by specific embodiments.

[0034] Figure 1 An implementation flow diagram of the power dual-mode communication detection method provided by Embodiment One of the present application is shown, and is described in detail as follows:

[0035] In step S101, a plurality of power line carrier communication parameter information, a plurality of wireless communication channel parameter information, a plurality of power dual-mode communication environment information, and a plurality of power dual-mode communication fusion parameter information are acquired.

[0036] In this embodiment, the power line carrier communication parameter information can cover the key parameters of the physical layer and the protocol layer. In the physical layer, the attenuation coefficient describes the energy loss in the signal transmission process, which is related to the transmission distance and frequency; the signal-to-noise ratio reflects the ratio of carrier signal power to noise power; the channel bandwidth refers to the available frequency range. In the protocol layer, the modulation method includes BPSK, QPSK, OFDM, etc.; the bit error rate is the proportion of the number of error bits in the historical transmission; the transmission rate represents the actual effective data transmission rate, which can be collected by the real-time monitoring data of the power line carrier module, the built-in sensors and monitoring circuits in the module; the log record of the substation and power grid communication terminal can provide historical operating parameters; the power equipment state monitoring system can track and analyze related parameters for a long time, providing data support for performance evaluation of power line carrier communication. The wireless communication channel parameter information can refer to the radio frequency characteristics and network layer performance indicators. In the radio frequency characteristic parameters, the path loss describes the degree of attenuation of wireless signals in space; the multipath fading parameters such as Rayleigh fading or Rician fading channel coefficients reflect the fading phenomenon caused by multiple path propagation; Doppler shift appears in mobile scenarios, which is the frequency offset caused by the relative motion of the transmitter and receiver. In terms of network layer parameters, RSSI is the received signal strength indication, which is used to measure the signal power value at the receiving end; SINR is the signal-to-interference-plus-noise ratio, which represents the ratio of signal to interference and noise; the connection stability indicators include packet loss rate, time delay jitter, etc. The ways to obtain wireless communication channel parameter information can include real-time monitoring data of wireless communication modules such as 5G, 4G, and LTE modules, performance statistics of base stations or access points to connected terminals, and in-depth analysis of wireless channels using professional wireless channel detection equipment such as spectrum analyzers, thereby providing accurate basis for optimization and management of wireless communication links. The power dual-mode communication environment information can be used to reflect the physical environment and electromagnetic interference conditions in which the communication is located. The electromagnetic interference parameters include the noise power spectrum density distribution of various devices in the power system, i.e. the background noise spectrum, the time-domain waveform of transient interference characteristics caused by switch operation, and the influence of power system harmonic components on communication, i.e. harmonic interference intensity. Environmental physical parameters include temperature, humidity, altitude, and other natural environmental factors that affect channel transmission characteristics, device load state that can affect the carrier channel due to changes in power grid load, and geographical topological information such as buildings and power cable layout that can change the signal propagation path. The power dual-mode communication environment information can be obtained by means of electromagnetic environment monitoring sensor networks that can sense electromagnetic interference in real time, power system SCADA systems that can record device load and operating environment data, and environmental and meteorological monitoring equipment responsible for collecting temperature, humidity, and other meteorological parameters.The fusion parameters for power line dual-mode communication can be used to optimize the collaborative working mechanism of power line carrier and wireless communication. This can be achieved by using weighting coefficients to allocate transmission weights for the carrier and wireless links, ensuring their complementary cooperation; setting switching thresholds to trigger critical performance indicators for dual-mode switching, such as signal-to-noise ratio thresholds; and determining the distribution ratio of service data across the two channels. Regarding collaborative optimization parameters, synchronization clock deviation measures the clock synchronization error of the dual-mode system, ensuring the timing consistency of data transmission; data frame format defines the data frame structure during fused transmission, ensuring seamless data transmission between different channels; and error control parameters involve the code rate and redundancy of joint error correction coding, used to improve the reliability of data transmission. The fusion parameters for power line dual-mode communication can be obtained from the configuration information of the dual-mode communication protocol stack pre-set by system developers according to the application scenario, or by dynamically adjusting optimization parameters through statistical analysis of historical fused transmission performance data. Furthermore, system administrators can manually set some parameters according to actual needs to achieve efficient fusion and stable operation of power line dual-mode communication.

[0037] In the embodiment, the power line carrier communication parameter information includes power line carrier communication physical parameter information and power line carrier communication protocol parameter information. The power line carrier communication physical parameter information can be used to describe transmission characteristic parameters of the power line carrier communication at a physical layer, including power line carrier communication attenuation parameter information, i.e. an energy loss degree of a signal in a power line transmission process due to factors such as line impedance and distance. The power line carrier communication protocol parameter information can focus on a communication protocol layer and cover power line carrier communication modulation parameter information, such as modulation modes such as BPSK, QPSK and OFDM and related configurations thereof, which directly affect encoding and decoding of wireless signals. The power line carrier communication physical parameter information includes power line carrier communication attenuation parameter information, power line carrier communication signal-to-noise ratio information and power line carrier communication channel bandwidth information. The power line carrier communication attenuation parameter information refers to an energy loss degree of a signal in a power line transmission process due to factors such as line impedance and distance. The power line carrier communication signal-to-noise ratio information can refer to a ratio of useful signal power to noise power, reflecting the purity of signal transmission. The power line carrier communication channel bandwidth information can refer to a frequency range available for power line carrier communication, determining the upper limit of the theoretical rate of data transmission. The power line carrier communication protocol parameter information includes power line carrier communication modulation parameter information, power line carrier communication bit error rate information and power line carrier communication transmission rate information. The power line carrier communication modulation parameter information can be modulation modes such as BPSK, QPSK and OFDM and related configurations thereof. The power line carrier communication bit error rate information refers to a proportion of the number of transmission errors to the total number of transmission bits within a certain time, measuring the reliability of communication. The power line carrier communication transmission rate information can refer to the amount of data that can actually be transmitted per unit time. The wireless communication channel parameter information includes wireless communication channel fading parameter information, wireless communication channel frequency offset information and wireless communication channel signal-to-interference-and-noise ratio information. The wireless communication channel fading parameter information can describe the characteristics of signal strength changes over time and space due to factors such as multipath propagation and obstacle shielding in the transmission process of wireless signals. Common fading types include Rayleigh fading and Rician fading, and their parameters can reflect the fluctuation of signal amplitude and phase. The wireless communication channel frequency offset information can refer to Doppler shift caused by relative motion of the transmitting and receiving ends, and frequency deviation caused by inaccurate device crystal oscillator. The offset affects the accuracy of signal demodulation and is a key parameter for ensuring communication synchronization. The wireless communication channel signal-to-interference-and-noise ratio information can reflect the ratio of the signal power at the receiving end to the sum of the interference and noise power, which is directly related to the quality of wireless communication and the reliability of data transmission. The higher the ratio, the more ideal the communication environment.The power dual-mode communication environment information includes power dual-mode communication environment background noise information, power dual-mode communication environment harmonic interference information, power dual-mode communication environment temperature and humidity information, and power dual-mode communication environment load information. The power dual-mode communication environment background noise information can refer to inherent noise generated by various devices in the power system under normal operating conditions. The frequency spectrum distribution is extensive, which can cause persistent interference to power line carrier and wireless communication signals, and affect signal transmission quality. The power dual-mode communication environment harmonic interference information can be harmonic components generated by current and voltage distortion caused by nonlinear loads in the power system. These harmonics can interfere with the dual-mode communication channel through electromagnetic coupling and other methods, and destroy the integrity of the signal. The power dual-mode communication environment temperature and humidity information can reflect the temperature and humidity conditions of the environment in which the communication equipment is located. Changes in temperature and humidity can affect the performance of electronic components, the insulation characteristics of power cables, and the propagation characteristics of wireless signals, thereby indirectly affecting the stability of dual-mode communication. The power dual-mode communication environment load information can cover the operating state, power consumption and load change of various electrical equipment in the power system. The fluctuation of the load can change the impedance characteristics of the power line, affect the transmission efficiency of the carrier signal, and also may cause changes in the electromagnetic environment and interfere with wireless communication. The power dual-mode communication fusion parameter information includes power dual-mode communication link power distribution weight information, power dual-mode switching threshold information, power dual-mode communication service data shunting ratio information, and power dual-mode communication synchronization error control information. The power dual-mode communication link power distribution weight information can refer to a parameter used to distribute the transmission power ratio of the power line carrier communication link and the wireless communication link when they work together. Reasonable power distribution weight can balance the transmission performance of the dual-mode link and improve the overall communication efficiency and reliability. The power dual-mode switching threshold information can be a critical value of the key performance indicator for switching the power line carrier communication and wireless communication mode. When the signal-to-noise ratio, bit error rate and other parameters reach or exceed the threshold, the system will automatically perform dual-mode switching operation to ensure that the communication link is always in the best working state. The power dual-mode communication service data shunting ratio information can be used to determine the allocation ratio of different types of service data between the power line carrier link and the wireless link. According to the real-time demand of the service and the link quality, the shunting ratio is dynamically adjusted to realize the efficiency and stability of data transmission. The power dual-mode communication synchronization error control information can include related parameters for ensuring the synchronization of power line carrier and wireless communication in time, frequency and phase, and control strategy information for detecting and correcting synchronization errors that may occur during data transmission.

[0038] In step S102, a feature matrix is constructed according to the plurality of power line carrier communication parameter information, wireless communication channel parameter information, power dual-mode communication environment information, and power dual-mode communication fusion parameter information, and a plurality of power dual-mode communication feature matrix information is generated.

[0039] In the embodiment, firstly, the acquired various types of information are preprocessed. The physical parameters (such as attenuation parameters, signal-to-noise ratio, channel bandwidth) and protocol parameters (modulation parameters, bit error rate, transmission rate) in the power line carrier communication parameter information are standardized to eliminate dimensional differences; the fading parameters, frequency offset, signal-to-interference-and-noise ratio in the wireless communication channel parameter information are normalized to make the values in a reasonable range; the background noise, harmonic interference, temperature and humidity, load information in the power dual-mode communication environment information are filtered to remove noise interference, and are normalized or encoded; the power allocation weight, switching threshold, data shunting ratio, synchronization error control parameter in the power dual-mode communication fusion parameter information are also standardized. Then, the preprocessed various types of parameters are arranged and combined in a specific order, taking each complete parameter set as a row of the matrix and the parameter category as a column of the matrix, to construct a multi-dimensional feature matrix. Through the above operation on multiple parameter sets, multiple power dual-mode communication feature matrix information capable of comprehensively reflecting the running state and environmental characteristics of the power dual-mode communication system are finally generated.

[0040] In step S103, multiple initial power dual-mode communication feature matrix search group information is generated according to the multiple power dual-mode communication feature matrix information, the preset group initial position information and the preset group initial moving speed information.

[0041] In the embodiment, multiple power dual-mode communication feature matrix information is taken as the data basis, and each feature matrix is regarded as a potential search individual. The preset group initial position information is mapped to the parameter space of the feature matrix as the starting coordinates of the search individual in the multi-dimensional parameter space. Meanwhile, the preset group initial moving speed information gives each individual an initial search direction and step size. In the specific calculation process, each power dual-mode communication feature matrix is associated with the initial position information, and the feature matrix is assigned to the nearest initial position by calculating the distance or similarity (such as Euclidean distance, cosine similarity), to form an initial power dual-mode communication feature matrix search group information. In each group, the initial moving speed information is combined to give the individual a corresponding velocity vector, which will guide the individual to move in the feature matrix space in the subsequent iteration, so as to comprehensively generate multiple initial power dual-mode communication feature matrix search group information with clear starting position and moving direction from the multiple power dual-mode communication feature matrix information, the preset group initial position information and the preset group initial moving speed information, to provide the initial state for the subsequent search iteration.

[0042] In step S104, target power dual-mode communication feature matrix search individual information is generated according to the multiple initial power dual-mode communication feature matrix search group information and the preset power dual-mode communication feature matrix search iteration number information.

[0043] In the embodiment, the preset power dual-mode communication feature matrix search iteration number information can be set artificially. For each individual in the group, the communication performance under the current feature matrix is quantitatively evaluated by constructing a fitness function and comprehensively considering the power line carrier communication parameter information, the wireless communication channel parameter information, the power dual-mode communication environment information, and the power dual-mode communication fusion parameter information. Subsequently, the behavior pattern of the biological group cooperative exploration is simulated. In the search process, the individual will refer to its own historical optimal position, strengthen the exploration direction to the high-quality solution in its own experience; at the same time, the individual is attracted to the current optimal individual position in the group, guiding the individual to move to the better area explored by the group; in addition, a random factor is introduced to generate a random offset to ensure that the individual has a certain global exploration ability in the search space, avoiding falling into a local optimum. Through the simulation of the mechanism of individual self-learning, group information interaction, and random exploration, the individual continuously adjusts its position in the multi-dimensional feature matrix space. With the iteration advancing, the individuals gradually gather in the better solution area until the preset iteration number is reached. At this time, the individual with the highest fitness in the group is determined as the target power dual-mode communication feature matrix search individual information, and the corresponding feature matrix is the parameter configuration scheme with better power dual-mode communication performance under the current search condition.

[0044] In step S105, the power dual-mode communication channel search information is generated according to the target power dual-mode communication feature matrix search individual information.

[0045] In the embodiment, based on the target power dual-mode communication feature matrix search individual information, the multi-dimensional parameters contained in the individual information are first analyzed, and the power line carrier communication parameter information, the wireless communication channel parameter information, the power dual-mode communication environment information, and the power dual-mode communication fusion parameter information are classified and extracted. Then, based on these multi-dimensional parameters, a channel search model is constructed, and the parameter values in the feature matrix are converted into specific channel configuration schemes through a mapping relationship, such as determining the cooperative working mode of power line carrier and wireless link according to the power allocation weight and data shunting ratio, and setting the dual-mode switching condition according to the switching threshold. Finally, all parameters and configuration schemes are integrated to form the power dual-mode communication channel search information containing channel working mode, parameter setting, performance estimation, etc., which provides accurate guidance for subsequent channel search processing.

[0046] In step S106, the channel search processing is performed according to the power dual-mode communication channel search information, and the power dual-mode communication channel is determined to realize the power dual-mode communication detection through the power dual-mode communication channel.

[0047] In the embodiment, the power line carrier communication parameter information, the wireless communication channel parameter information, the power dual-mode communication environment information and the power dual-mode communication fusion parameter information contained in the channel search information can be firstly analyzed to determine the values and configuration schemes of the parameters. Then, based on the parameters, a traversal search is performed in the channel space of the power dual-mode communication. For the power line carrier channel, the signal transmission quality is evaluated in combination with parameters such as attenuation and signal-to-noise ratio. For the wireless communication channel, the link stability is determined based on parameters such as fading and signal-to-interference noise ratio. Different dual-mode cooperative working modes are tried according to the power distribution weight and data shunting ratio set in the fusion parameter information. In this process, the communication performance indicators such as the bit error rate and the transmission rate under each channel configuration are continuously monitored and compared with the performance estimation in the channel search information. By continuously adjusting the parameter configuration and switching the dual-mode working mode, the channel combination that meets the performance requirements and has the best stability is screened out, and the power dual-mode communication channel is finally determined. After the channel is determined, data transmission is performed using the power dual-mode communication channel, and the power line carrier communication parameter information and the wireless communication channel parameter information are collected in real time during the transmission process. The signal integrity and transmission reliability are analyzed and judged by the preset detection algorithm and standard, so as to realize the power dual-mode communication detection.

[0048] In the embodiment, after the power dual-mode communication channel is determined, the power dual-mode communication detection is performed. Firstly, a preset detection signal is transmitted through the channel, and the real-time parameter information of the power line carrier communication link and the wireless communication link is synchronously collected, including the attenuation parameter, the signal-to-noise ratio and the modulation symbol error rate of the power line carrier, and the fading parameter, the frequency offset and the received signal strength indication of the wireless channel. Then, the collected parameters are compared with the reference parameters in the power dual-mode communication channel search information to analyze whether the parameter fluctuation range exceeds the preset threshold, so as to judge the stability of the channel transmission. Then, for the data of the dual-mode fusion transmission, the received data is decoded and verified according to the synchronization error control parameter in the power dual-mode communication fusion parameter information. The bit error rate and the packet loss rate are detected by the cyclic redundancy check (CRC) or the forward error correction (FEC) algorithm. At the same time, the influence of the environmental interference on the dual-mode channel is evaluated by the time-frequency analysis method in combination with the background noise and the harmonic interference in the power dual-mode communication environment information, and it is judged whether there is communication abnormality caused by interference. Finally, the channel parameter stability, the data transmission error index and the environmental interference evaluation result are comprehensively considered, and the power dual-mode communication detection report is generated according to the preset detection standard to determine whether the communication link meets the operation requirements. If there is an abnormality, the specific problem link of the power line carrier channel, the wireless channel or the dual-mode fusion mechanism is located.

[0049] The power dual-mode communication detection method provided by the embodiment of the application comprehensively captures the complex characteristics of power dual-mode communication, constructs a multi-dimensional feature matrix, generates initial power dual-mode communication feature matrix search group information through preset group initial position and moving speed information, and generates target search individual information through iterative optimization, so that efficient balance of global search and local optimization is achieved, the optimal solution is quickly locked, and based on the target individual information, channel search information is generated and processed to accurately determine the power dual-mode communication channel. Not only is the automatic and intelligent screening of the communication channel achieved, but also through dynamic adaptation to environmental changes, the dual-mode communication fusion parameters are optimized, the accuracy and reliability of channel detection are significantly improved, and the channel search efficiency and accuracy of power dual-mode communication in a complex power environment are improved, so that the flexibility and robustness of power dual-mode communication detection are improved.

[0050] Figure 2 The implementation flowchart of the power dual-mode communication detection method provided by the second embodiment of the application is shown, which is different from the first embodiment described above in that the step S102 specifically includes:

[0051] In step S201, time-frequency domain feature extraction is performed on the power line carrier communication parameter information, the wireless communication channel parameter information, the power dual-mode communication environment information, and the power dual-mode communication fusion parameter information to obtain power dual-mode communication time-frequency domain feature information and power dual-mode communication multi-dimensional feature information.

[0052] In this embodiment, for the power line carrier communication parameter information, fast Fourier transform (FFT) is used to extract signal spectrum characteristics to obtain the distribution characteristics of the attenuation parameter and the signal-to-noise ratio in the frequency domain; for the wireless communication channel parameter information, wavelet transform is used to decompose the time-varying characteristics of the fading parameter and the frequency offset to form a multi-resolution time-frequency representation; for the power dual-mode communication environment information, short-time Fourier transform (STFT) is used to analyze the time-frequency distribution law of background noise spectrum and harmonic interference; and for the power dual-mode communication fusion parameter information, the change characteristics of the power distribution weight and the data shunting ratio in different time windows are extracted. At the same time, the numerical parameters (such as channel bandwidth and signal-to-noise ratio) in each type of parameter information, the Boolean parameters (such as modulation mode type), and the classification parameters (such as environmental load state) are quantitatively combined to construct a multi-dimensional feature vector containing time domain features, frequency domain features, and statistical features, and finally power dual-mode communication time-frequency domain feature information and multi-dimensional feature information are generated.

[0053] In step S202, power dual-mode communication feature matrix embedding information is generated according to the power dual-mode communication time-frequency domain feature information, the power dual-mode communication multi-dimensional feature information, the preset power line parameter embedding feature matrix, the preset wireless parameter embedding feature matrix, the preset power environment parameter embedding matrix, and the preset power dual-mode communication fusion parameter embedding matrix.

[0054] In this embodiment, each dimension feature vector in the time-frequency domain feature information of the power dual-mode communication is subjected to matrix multiplication operation with the preset power line parameter embedding feature matrix, to realize semantic mapping of the power line carrier related features; the time-frequency domain features related to wireless communication are subjected to multiplication with the wireless parameter embedding feature matrix, to complete feature conversion of the wireless channel parameters; the environmental parameter part in the multi-dimensional feature information of the power dual-mode communication is subjected to tensor product operation with the preset power environment parameter embedding matrix, to generate low-dimensional embedding representation of the environmental features; for the fusion parameter features, the preset power dual-mode communication fusion parameter embedding matrix is used for nonlinear transformation, to obtain the semantic correlation fusion feature representation. Finally, the embedding results of each type of parameter are spliced according to the dimensions, to form a multi-dimensional feature matrix containing the power line carrier, wireless communication, environmental factors and fusion strategy, i.e. the power dual-mode communication feature matrix embedding information.

[0055] Step S203, position encoding processing is performed on the plurality of power dual-mode communication feature matrix embedding information, to generate a plurality of power dual-mode communication feature encoding information.

[0056] In this embodiment, for each element in the power dual-mode communication feature matrix embedding information, a corresponding position encoding vector is generated according to its row index and column index in the matrix. For row position encoding, a combination of sine function and cosine function is used to generate a position encoding vector with the same dimension as the feature, to represent the time sequence relationship of different parameter information; for column position encoding, an absolute position encoding method is used to assign a unique position identifier to each parameter category. The generated row position encoding vector and column position encoding vector are added to the original feature matrix element by element, so that the feature matrix not only contains the semantic information of the parameters, but also incorporates the relative position information in the matrix. Through this position encoding processing, the spatial structure relationship between different parameters is preserved, and the power dual-mode communication feature encoding information with position perception ability is generated, providing a basis for subsequent feature interaction.

[0057] Step S204, based on a plurality of preset power dual-mode communication feature encoding interaction matrices, feature encoding interaction processing is performed on the plurality of power dual-mode communication feature encoding information, to generate a plurality of power dual-mode communication feature matrix information.

[0058] In the embodiment, first, the power dual-mode communication feature coding information is divided into a power line carrier sub-matrix, a wireless communication sub-matrix, an environment information sub-matrix and a fusion parameter sub-matrix according to the parameter type. Then, for each sub-matrix, a matrix multiplication operation is performed with a preset power dual-mode communication feature coding interaction matrix to realize the feature interaction within the same type of parameters. For example, the power line carrier sub-matrix is multiplied by the corresponding interaction matrix to strengthen the correlation between the attenuation parameters, the signal-to-noise ratio and other parameters. Then, through the cross-sub-matrix interaction operation, the power line carrier sub-matrix and the wireless communication sub-matrix are fused through the interaction matrix to mine the synergistic effect in the dual-mode communication; the environment information sub-matrix and the fusion parameter sub-matrix are interacted to obtain the influence relationship of the environmental factors on the fusion strategy. Finally, all the sub-matrices after the interaction are spliced and nonlinearly transformed to generate a power dual-mode communication feature matrix information containing the internal correlation of the parameters and the cross-parameter synergistic features, which comprehensively represents the running state of the power dual-mode communication system.

[0059] The power dual-mode communication detection method provided by the embodiment of the application deeply mines the internal correlation of the power line carrier, wireless communication, environmental factors and fusion strategy through time-frequency domain feature extraction and multi-dimensional feature construction; realizes semantic conversion of the features by using parameter embedding matrix to improve the feature expression ability; through position coding processing to reserve the spatial structure information between the parameters, combined with the feature coding interaction mechanism, realizes deep fusion and synergistic analysis of the multi-source parameters to generate power dual-mode communication feature matrix information with better representation ability, further improves the accuracy and robustness of the power dual-mode communication channel search by enhancing the granularity and time-frequency analysis ability of the feature extraction, and provides more accurate channel detection support for the reliable operation of the power system.

[0060] Figure 3 The implementation flowchart of the power dual-mode communication detection method provided by the third embodiment of the application is shown, which is different from the second embodiment described above in that:

[0061] The plurality of preset power dual-mode communication feature coding interaction matrices include a preset first power dual-mode communication feature coding interaction matrix, a preset second power dual-mode communication feature coding interaction matrix and a preset third power dual-mode communication feature coding interaction matrix.

[0062] The step S204 specifically includes:

[0063] The step S301 generates a plurality of first power dual-mode communication feature interaction matrix information according to the plurality of power dual-mode communication feature coding information and the preset first power dual-mode communication feature coding interaction matrix.

[0064] In the embodiment, the preset first power dual-mode communication feature code interaction matrix, the preset second power dual-mode communication feature code interaction matrix, and the preset third power dual-mode communication feature code interaction matrix can all be artificially set. Each power dual-mode communication feature code information is divided into a power line carrier sub-matrix, a wireless communication sub-matrix, an environment information sub-matrix, and a fusion parameter sub-matrix according to the parameter type, and matrix multiplication is performed on each power dual-mode communication feature code information and the preset first power dual-mode communication feature code interaction matrix. The first interaction matrix is designed to strengthen the relevance of the power line carrier communication parameter information, for example, the coupling relationship between physical parameters such as the attenuation parameter, the signal-to-noise ratio, and the channel bandwidth and protocol parameters such as the modulation mode and the bit error rate is strengthened through the matrix element weight, so that the power line carrier sub-matrix generates the first power dual-mode communication feature interaction matrix information containing parameter coordination features after interaction, and the overall performance features of the power line carrier communication link are highlighted.

[0065] In step S302, a plurality of second power dual-mode communication feature interaction matrix information is generated according to the plurality of power dual-mode communication feature code information and the preset second power dual-mode communication feature code interaction matrix.

[0066] In the embodiment, the wireless communication sub-matrix, the environment information sub-matrix, and the fusion parameter sub-matrix in the power dual-mode communication feature code information are subjected to feature fusion operation with the preset second power dual-mode communication feature code interaction matrix. The second interaction matrix focuses on capturing the relevance of the wireless communication channel parameter information and the power dual-mode communication environment information, for example, the mapping relationship between the wireless channel features such as the signal-to-interference-and-noise ratio and the fading parameter and the environmental parameters such as the background noise spectrum and the harmonic interference strength is excavated through matrix operation, and the fusion parameters such as the data shunting ratio and the power allocation weight are coupled, so that the second power dual-mode communication feature interaction matrix information after interaction can represent the adaptability of the wireless communication link under environmental interference and the synergistic effect of the fusion strategy.

[0067] In step S303, a plurality of third power dual-mode communication feature interaction matrix information is generated according to the plurality of power dual-mode communication feature code information and the preset third power dual-mode communication feature code interaction matrix.

[0068] In the embodiment, the preset third power dual-mode communication feature code interaction matrix is used for cross-modal feature interaction of the power dual-mode communication feature code information. The third interaction matrix is designed with an attention mechanism and can automatically learn the weight relationship between the power line carrier sub-matrix, the wireless communication sub-matrix, the environment information sub-matrix, and the fusion parameter sub-matrix, for example, the influence weight of the environment information sub-matrix on the power line carrier and the wireless communication sub-matrix is enhanced in a strong interference environment. Through matrix multiplication and nonlinear activation function operation, the third power dual-mode communication feature interaction matrix information containing multi-source parameter dynamic correlation features is generated, which comprehensively reflects the cross-domain coordination characteristics of the dual-mode communication system.

[0069] Step S304, according to a plurality of first power dual-mode communication feature interaction matrix information and second power dual-mode communication feature interaction matrix information, a plurality of power dual-mode communication feature interaction weight matrix information is calculated.

[0070] In the embodiment, the first power dual-mode communication feature interaction matrix information and the second power dual-mode communication feature interaction matrix information are subjected to element-by-element dot product operation to obtain a preliminary weight correlation matrix; then the weight matrix is normalized by the Softmax function, so that each element value is mapped to a weight coefficient between 0 and 1 to form the power dual-mode communication feature interaction weight matrix information. The weight matrix can represent the correlation strength of the power line carrier communication parameter information and the wireless communication and environmental fusion parameter information, for example, in a high-attenuation power line channel scene, the weight proportion of the wireless communication parameter feature is automatically increased to provide dynamic weight support for subsequent feature fusion.

[0071] Step S305, according to a plurality of power dual-mode communication feature interaction weight matrix information and third power dual-mode communication feature interaction matrix information, a plurality of power dual-mode communication feature matrix information is generated.

[0072] In the embodiment, the power dual-mode communication feature interaction weight matrix information and the third power dual-mode communication feature interaction matrix information are weighted and fused, each feature dimension in the third interaction matrix is multiplied by the corresponding weight coefficient to highlight the influence of key parameter features; then the weighted feature matrix is superimposed with the original power dual-mode communication feature coding information through residual connection to retain the integrity of the original features; finally, after layer normalization processing, the power dual-mode communication feature matrix information containing parameter internal correlation, cross-domain collaborative features and dynamic weight distribution is generated to realize deep fusion and adaptive expression of multi-source parameters.

[0073] The power dual-mode communication detection method provided by the embodiment introduces a plurality of preset power dual-mode communication feature coding interaction matrices to construct a hierarchical feature interaction mechanism: the first interaction matrix is used to strengthen the internal correlation of single-modal parameters, the second interaction matrix is used to mine the collaborative relationship of cross-modal parameters, and the third interaction matrix is used to realize dynamic weight distribution by means of the attention mechanism. Finally, through the calculation and fusion of the feature weight matrix, a power dual-mode communication feature matrix information with better representation ability is generated. Through the synergistic effect of multiple interaction matrices, the flexibility of feature extraction and the adaptability to complex power environments are enhanced, and the dynamic correlation of multi-source parameters in the power dual-mode communication system can be more accurately captured, and the efficiency of channel search and the reliability of detection results are further improved.

[0074] Figure 4An implementation flowchart of the power dual-mode communication detection method provided by Embodiment Four of the present application is shown, which is different from Embodiment One in that the step S103 specifically includes:

[0075] In step S401, the plurality of power dual-mode communication feature matrix information is subjected to position space mapping processing according to preset group initial position information, to generate a plurality of initial power dual-mode communication feature matrix position mapping information.

[0076] In the present embodiment, the preset group initial position information can be set artificially. The preset group initial position information can be a set of coordinate points in a multi-dimensional parameter space, and each parameter vector in the power dual-mode communication feature matrix information is regarded as a point in the multi-dimensional space. The distance between each feature matrix and each initial position is calculated by using the Euclidean distance, and the feature matrix is mapped to the initial position coordinate closest to it, to form the initial power dual-mode communication feature matrix position mapping information. For example, if three initial positions are preset, each feature matrix is assigned to one of the positions, and the position coordinates are determined by the preset group initial position information, to realize the position mapping of the feature matrix from the parameter space to the search space.

[0077] In step S402, the plurality of power dual-mode communication feature matrix search individual movement parameter information is obtained according to the plurality of initial power dual-mode communication feature matrix position mapping information and preset group initial movement speed information.

[0078] In the present embodiment, the preset group initial movement speed information can be set artificially. It can include a direction vector and a step length parameter. For each initial power dual-mode communication feature matrix position mapping information, the preset movement speed vector is coupled with the feature matrix parameters of the position, to generate movement parameter information including the speed direction, the step length and the parameter update rule. For example, the speed direction determines the search trend of the feature matrix in the parameter space, and the step length controls the parameter adjustment amplitude of each iteration, to form the power dual-mode communication feature matrix search individual movement parameter information, which provides a dynamic adjustment basis for the iterative optimization of the individual.

[0079] In step S403, the plurality of initial power dual-mode communication feature matrix search individual information is obtained according to the plurality of initial power dual-mode communication feature matrix position mapping information and the power dual-mode communication feature matrix search individual movement parameter information.

[0080] In the embodiment, each initial power dual-mode communication feature matrix position mapping information is integrated with its corresponding power dual-mode communication feature matrix search individual movement parameter information to form a three-tuple structure containing feature matrix parameters, current position coordinates and movement speed vector, i.e., initial power dual-mode communication feature matrix search individual information. For example, each search individual contains specific parameter values of the feature matrix, position coordinates in the multi-dimensional space and movement direction and step length of the next step, which provides complete individual state description for group search.

[0081] In step S404, similarity information between each of the initial power dual-mode communication feature matrix search individual information is calculated to obtain a plurality of initial power dual-mode communication feature individual similarity information.

[0082] In the embodiment, cosine similarity or Euclidean distance formula is used to calculate the similarity of the feature matrix parameter vectors in any two initial power dual-mode communication feature matrix search individual information to generate initial power dual-mode communication feature individual similarity information. For example, for two feature matrix parameter vectors, the cosine similarity is used to measure the consistency of the direction, and the higher the similarity value indicates that the parameter configurations of the two individuals are closer, which provides a quantitative basis for subsequent group division.

[0083] In step S405, it is judged whether the initial power dual-mode communication feature individual similarity information is less than a preset power dual-mode communication feature individual similarity threshold value. If yes, initial power dual-mode communication feature matrix search group information is generated according to the initial power dual-mode communication feature matrix search individual information corresponding to the initial power dual-mode communication feature individual similarity information. If no, the initial power dual-mode communication feature matrix search individual information corresponding to the initial power dual-mode communication feature individual similarity information is skipped.

[0084] In the embodiment, the preset power dual-mode communication feature individual similarity threshold value can be set artificially and is used to filter differentiated search individuals. When the similarity of two individuals is less than the threshold value, it indicates that the parameter configurations of the two individuals are greatly different, and these individuals are divided into the same search group to avoid individual homogenization in the group. If the similarity is not less than the threshold value, it is considered that the difference between the individuals is insufficient, and the individual is skipped to maintain the diversity of the group. A plurality of initial power dual-mode communication feature matrix search group information with different parameter configurations is generated to ensure that a wider parameter space can be covered in the search process.

[0085] The power dual-mode communication detection method provided by the embodiment of the application introduces a position space mapping mechanism, converts feature matrix parameters into quantifiable space coordinates, generates search individuals with dynamic adjustment capability in combination with preset mobile speed information, actively controls the parameter configuration difference of the search population through individual similarity calculation and threshold screening, avoids the population from falling into a local similar solution, enhances the global exploration capability of the search process, optimizes the initial population generation mechanism, improves the diversity and parameter space coverage of the search population, enables the subsequent iteration process to more efficiently find a global optimal solution, is suitable for complex optimization scenarios of multi-parameter coupling in power dual-mode communication, and provides stronger protection for the accuracy and robustness of channel search.

[0086] Figure 5 An implementation flowchart of the power dual-mode communication detection method provided by the fifth embodiment of the application is shown, which is different from the first embodiment described above in that the step S104 specifically includes:

[0087] Step S501: Extract multiple initial power line carrier communication quality information and multiple initial wireless channel communication quality information of multiple initial power dual-mode communication feature matrix search population information.

[0088] In this embodiment, for each initial power dual-mode communication feature matrix search population information, power line carrier communication parameter information contained therein is analyzed, initial power line carrier communication quality information representing the power line carrier link transmission performance in the population is calculated through a comprehensive evaluation model of physical parameters such as attenuation parameters, signal-to-noise ratios, channel bandwidths, and protocol parameters such as modulation modes and bit error rates; at the same time, wireless communication channel parameter information is extracted, a wireless link quality evaluation model is constructed based on parameters such as fading parameters, signal-to-interference noise ratios, and frequency offsets, initial wireless channel communication quality information is generated, and quantitative characterization of the dual-mode communication quality in the population is realized.

[0089] Step S502: Calculate multiple initial communication feature matrix search population fitness information according to the multiple initial power line carrier communication quality information, the initial wireless channel communication quality information, and preset feature matrix search population parameter weight information.

[0090] In this embodiment, the preset feature matrix search population parameter weight information can be artificially set and can include weight coefficients of power line carrier communication quality and wireless channel communication quality. The initial power line carrier communication quality information of each population can be multiplied by the corresponding weight, and the product of the initial wireless channel communication quality information and the corresponding weight can be added to obtain the initial communication feature matrix search population fitness information. The fitness value comprehensively reflects the pros and cons of the dual-mode communication performance of the population under the current parameter configuration and provides a quantitative basis for population optimization.

[0091] Step S503, taking the initial power dual-mode communication characteristic matrix search group information corresponding to the maximum value of the initial communication characteristic matrix search group fitness information as the intermediate power dual-mode communication characteristic matrix search group information.

[0092] In this embodiment, all the initial communication characteristic matrix search group fitness information is traversed to find the group with the maximum fitness value, and the initial power dual-mode communication characteristic matrix search group information corresponding to the group is marked as the intermediate power dual-mode communication characteristic matrix search group information, which is used as the optimal group in the current iteration and provides a reference benchmark for subsequent group evolution.

[0093] Step S504, performing iterative calculation according to the initial power dual-mode communication characteristic matrix search group information, the intermediate power dual-mode communication characteristic matrix search group information, the preset power dual-mode communication characteristic matrix group search speed adjustment information, and the preset power dual-mode communication characteristic matrix group search path adjustment information to obtain a plurality of intermediate power dual-mode communication characteristic matrix iteration group information and intermediate power dual-mode communication characteristic matrix group iteration number information.

[0094] In this embodiment, the preset power dual-mode communication characteristic matrix group search speed adjustment information is used to determine the speed update rule of the individuals in the group, for example, the individual speed is composed of the historical speed of the individual, the trend speed of moving towards the optimal solution of the group, and the random disturbance speed; the preset path adjustment information includes a direction offset and a step coefficient, which is used to guide the evolution of the group in the direction of the intermediate power dual-mode communication characteristic matrix search group information. Through iterative calculation, the parameters of the individuals in each initial group are updated according to the speed and path adjustment rules to generate the intermediate power dual-mode communication characteristic matrix iteration group information, and the iteration number is recorded as the intermediate power dual-mode communication characteristic matrix group iteration number information.

[0095] Step S505, determining whether the intermediate power dual-mode communication characteristic matrix group iteration number information is less than or equal to the preset power dual-mode communication characteristic matrix search iteration number information; if yes, proceeding to step S506; if no, proceeding to step S507.

[0096] In this embodiment, the preset power dual-mode communication characteristic matrix search iteration number information can be set by a person. The intermediate power dual-mode communication characteristic matrix group iteration number information is compared with the preset power dual-mode communication characteristic matrix search iteration number information. If the iteration number has not reached the preset value, it means that the group still has optimization space, and the iteration is continued; if the preset value has been reached or exceeded, the iteration at the group level is stopped, and the fine optimization at the individual level is entered.

[0097] Step S506, the intermediate power dual-mode communication feature matrix iteration group information is taken as initial power dual-mode communication feature matrix search group information, and the step S501 is returned to.

[0098] In the embodiment, the intermediate power dual-mode communication feature matrix iteration group information generated in the current iteration is assigned as new initial power dual-mode communication feature matrix search group information, so that the group inherits the parameter configuration optimized in the iteration, and the power line carrier and wireless channel communication quality evaluation and fitness calculation are performed again to form an iteration optimization closed loop until a preset iteration number is reached.

[0099] Step S507, multiple intermediate power line carrier communication quality iteration information and multiple intermediate wireless channel communication quality iteration information of the multiple intermediate power dual-mode communication feature matrix iteration group information are extracted.

[0100] In the embodiment, when the iteration number of the group reaches a preset value, the intermediate power dual-mode communication feature matrix iteration group information of all groups is analyzed, the intermediate power line carrier communication quality iteration information and the intermediate wireless channel communication quality iteration information of each iteration group are extracted respectively by using the same evaluation model as that in the step S501, and the dual-mode communication quality of the group in the final iteration state is reflected.

[0101] Step S508, multiple intermediate communication feature matrix iteration group fitness information is calculated according to the multiple intermediate power line carrier communication quality iteration information, the multiple intermediate wireless channel communication quality iteration information and preset feature matrix search group parameter weight information.

[0102] In the embodiment, the intermediate power line carrier communication quality iteration information and the intermediate wireless channel communication quality iteration information are multiplied by the preset weight and then accumulated to obtain the intermediate communication feature matrix iteration group fitness information, and the dual-mode communication performance of each group after iteration is quantitatively evaluated.

[0103] Step S509, the intermediate power dual-mode communication feature matrix iteration group information corresponding to the maximum value of the multiple intermediate communication feature matrix iteration group fitness information is taken as target power dual-mode communication feature matrix search group information.

[0104] In the embodiment, the maximum value is selected from all the intermediate communication feature matrix iteration group fitness information, and the intermediate power dual-mode communication feature matrix iteration group information corresponding to the maximum value is determined as the target power dual-mode communication feature matrix search group information. The group represents the search group with the optimal overall performance after iteration optimization.

[0105] Step S510, multiple power dual-mode communication feature matrix search individual information of the target power dual-mode communication feature matrix search group information is extracted.

[0106] In the embodiment, the target power dual-mode communication characteristic matrix search group information is parsed, and all power dual-mode communication characteristic matrix search individual information contained in the target power dual-mode communication characteristic matrix search group information is extracted. Each individual corresponds to a specific power dual-mode communication characteristic matrix parameter configuration, and provides a data basis for subsequent individual-level fine optimization.

[0107] In step S511, a plurality of characteristic individual power line carrier communication quality information and a plurality of characteristic individual wireless channel communication quality information are obtained according to the plurality of power dual-mode communication characteristic matrix search individual information.

[0108] In the embodiment, the power line carrier communication parameter information and the wireless communication channel parameter information of each power dual-mode communication characteristic matrix search individual information are evaluated separately. The same model as the group evaluation is used to generate the characteristic individual power line carrier communication quality information and the characteristic individual wireless channel communication quality information, and the dual-mode communication performance of each individual is accurately quantified.

[0109] In step S512, a plurality of communication characteristic matrix search individual fitnesses are calculated according to the plurality of characteristic individual power line carrier communication quality information, the characteristic individual wireless channel communication quality information, and preset characteristic matrix search individual parameter weight information.

[0110] In the embodiment, the preset characteristic matrix search individual parameter weight information is used to adjust the weight proportion of the power line carrier and the wireless channel quality at the individual level. The communication characteristic matrix search individual fitness of each individual is obtained by weighted calculation, and the fitness value reflects the good or bad degree of the individual in the parameter configuration space.

[0111] In step S513, the power dual-mode communication characteristic matrix search individual information corresponding to the maximum value of the plurality of communication characteristic matrix search individual fitnesses is taken as the target power dual-mode communication characteristic matrix search individual information.

[0112] In the embodiment, the fitness values of all individuals are compared, and the individual with the maximum fitness is determined as the target power dual-mode communication characteristic matrix search individual information. The corresponding characteristic matrix parameter configuration is the optimal solution obtained after the group iteration and individual optimization, and provides an accurate parameter basis for subsequent channel search.

[0113] The power dual-mode communication detection method provided by the embodiment of the application introduces a group and individual double-layer iterative optimization mechanism, first performs iterative evolution based on dual-mode communication quality evaluation at the group level, and guides the group to gather in the optimal solution area through speed and path adjustment; when the group iteration reaches a preset number of times, fine optimization is performed at the individual level, the dual-mode communication quality of each individual is independently evaluated and the fitness is calculated, and finally the globally optimal individual is screened out, the directionality and fineness of the search process are improved through hierarchical optimization, local optimal solutions are avoided, the method is suitable for a multi-parameter strong coupling scene in power dual-mode communication, can more efficiently find optimal parameter configurations that take into account the performance of power line carrier and wireless communication, significantly improves the efficiency of channel search and the accuracy of detection results, and provides stronger technical support for reliable communication in complex power environments.

[0114] Figure 6 An implementation flowchart of the power dual-mode communication detection method provided by the sixth embodiment of the application is shown, which is different from the first embodiment described above in that the step S103 specifically includes:

[0115] In step S601, the target power dual-mode communication feature matrix search individual information is subjected to dimension analysis processing to obtain power dual-mode communication feature matrix row dimension information and power dual-mode communication feature matrix column dimension information.

[0116] In this embodiment, the target power dual-mode communication feature matrix search individual information corresponds to a multi-dimensional feature matrix, in which the row dimension represents different parameter set instances, and the column dimension corresponds to the categories of power line carrier communication parameter information, wireless communication channel parameter information, power dual-mode communication environment information and power dual-mode communication fusion parameter information. Through a matrix dimension analysis algorithm, the parameter instance set corresponding to the row index is extracted, such as a combination of a certain row containing a specific attenuation parameter, a signal-to-noise ratio, a temperature and humidity, and a power distribution weight; at the same time, the parameter categories corresponding to the column index are analyzed, such as physical layer parameters, protocol layer parameters, environment parameters, etc., to form clear row dimension information and column dimension information, providing a data basis for subsequent structured processing.

[0117] In step S602, the power dual-mode communication feature matrix row dimension information and the power dual-mode communication feature matrix column dimension information are subjected to structured processing to generate power dual-mode communication channel search information.

[0118] In the embodiment, for the parameter instance set in the row dimension information, classification and aggregation are performed according to power line carrier communication, wireless communication, environmental factors and fusion strategy, for example, attenuation parameters and signal-to-noise ratio are classified into a power line carrier parameter group, and signal-to-interference-and-noise ratio and fading parameters are classified into a wireless channel parameter group; for the parameter category in the column dimension information, each category is mapped to a specific channel configuration item through a preset parameter-channel mapping rule, such as that a modulation mode corresponds to a coding scheme of a carrier channel, and a data shunt ratio corresponds to a dual-mode cooperative working mode. Finally, the parameter instances after classification and aggregation are associated and integrated with the channel configuration items to form structured power dual-mode communication channel search information containing parameter values, channel working modes and performance estimates, thereby providing an accurate parameter configuration template for channel search processing.

[0119] The power dual-mode communication detection method provided in the embodiment can map abstract parameters of a multi-dimensional feature matrix into executable channel configuration schemes through dimension analysis and structured processing of target search individual information, directly convert an optimal solution into an actual channel configuration, strengthen the dimension semantic analysis capability of the feature matrix, avoid information loss in the parameter mapping process, make the generated channel search information more accurately match the actual needs of power dual-mode communication, and significantly improve the efficiency of channel search and the continuity of the detection process.

[0120] Corresponding to the method of the above embodiment, Figure 7 A structural block diagram of the power dual-mode communication detection system provided in the embodiment is shown, and only parts related to the embodiment are shown for ease of illustration. Figure 7 The power dual-mode communication detection system can be an execution subject of the power dual-mode communication detection method provided in the first embodiment.

[0121] Referring to Figure 7 The power dual-mode communication detection system includes:

[0122] The information acquisition module 710 is configured to acquire a plurality of power line carrier communication parameter information, a plurality of wireless communication channel parameter information, a plurality of power dual-mode communication environmental information and a plurality of power dual-mode communication fusion parameter information.

[0123] The power dual-mode communication feature matrix information generation module 720 is configured to construct a feature matrix according to the power line carrier communication parameter information, the wireless communication channel parameter information, the power dual-mode communication environmental information and the power dual-mode communication fusion parameter information, and generate a plurality of power dual-mode communication feature matrix information.

[0124] The initial power dual-mode communication characteristic matrix search group information generation module 730 is configured to generate a plurality of initial power dual-mode communication characteristic matrix search group information according to the plurality of power dual-mode communication characteristic matrix information, preset group initial position information, and preset group initial moving speed information.

[0125] The target power dual-mode communication characteristic matrix search individual information generation module 740 is configured to generate target power dual-mode communication characteristic matrix search individual information according to the plurality of initial power dual-mode communication characteristic matrix search group information and preset power dual-mode communication characteristic matrix search iteration number information.

[0126] The power dual-mode communication channel search information generation module 750 is configured to generate power dual-mode communication channel search information according to the target power dual-mode communication characteristic matrix search individual information.

[0127] The power dual-mode communication channel determination module 760 is configured to perform channel search processing according to the power dual-mode communication channel search information, and determine a power dual-mode communication channel to realize power dual-mode communication detection through the power dual-mode communication channel.

[0128] The power dual-mode communication detection system provided by the embodiments of the present application realizes the processes of the respective functions of the modules, and the details can be referred to the foregoing description of the embodiment one of the power dual-mode communication detection system, which will not be described here. Figure 1

[0129] It should be understood that the size of the serial number of each step in the above embodiments does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0130] It should be understood that when used in the present application and the appended claims, the term "comprising" indicates the presence of the described features, whole, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, whole, steps, operations, elements, components and / or sets thereof.

[0131] It should also be understood that the term "and / or" used in the present application and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0132] ​As used in the specification and in the claims, the term “if’ can be interpreted as meaning “when” or “upon” or “in response to a determination” or “in response to a detection” depending on the context. Similarly, the phrase “if it is determined” or “if [a described condition or event] is detected” can be interpreted as meaning “upon determining” or “in response to a determining” or “upon detecting [a described condition or event]” or “in response to a detecting [a described condition or event]” depending on the context.

[0133] In addition, in the description and the accompanying claims of the application, the terms “first”, “second”, “third”, and the like are used merely to distinguish descriptions and are not intended to imply or suggest relative importance. It should also be understood that, although the terms “first”, “second”, and the like are used in the text to describe various elements in some embodiments of the application, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, the first table can be named as the second table, and similarly, the second table can be named as the first table, without departing from the scope of various described embodiments. The first table and the second table are both tables, but they are not the same table.

[0134] In the present application, the reference to “one embodiment” or “some embodiments” and the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the application. Thus, the appearance of the phrases “in one embodiment”, “in some embodiments”, “in other embodiments”, “in additional embodiments”, and the like in various places throughout the specification is not necessarily all referring to the same embodiment, but rather can refer to one or more but not all embodiments, unless otherwise specifically stated. The terms “comprising”, “including”, “having” and their variants mean “including but not limited to”, unless otherwise specifically stated.

[0135] The power dual-mode communication detection method provided by the embodiments of the application can be applied to terminal devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, notebook computers, ultra-mobile personal computers (UMPCs), netbooks, personal digital assistants (PDAs), and the like. The embodiments of the application do not make any limitation on the specific type of terminal device.

[0136] For example, the terminal device may be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a set-top box (STB), customer premises equipment (CPE), and / or other devices used for communication over a wireless system, as well as next-generation communication systems, such as mobile terminals in 5G networks or mobile terminals in future evolved Public Land Mobile Network (PLMN) networks.

[0137] As an example and not a limitation, when the terminal device is a wearable device, the term "wearable device" can also refer to any device that utilizes wearable technology to intelligently design and develop everyday wearables, such as glasses, gloves, watches, clothing, and shoes. Wearable devices are portable devices worn directly on the body or integrated into a user's clothing or accessories. Wearable devices are not merely hardware devices; they achieve powerful functions through software support, data interaction, and cloud interaction. Broadly defined, wearable smart devices include those with comprehensive functions, large sizes, and the ability to perform complete or partial functions without relying on a smartphone, such as smartwatches or smart glasses, as well as those focused on a specific application function that require interaction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.

[0138] Figure 8 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. For example... Figure 8 As shown, the terminal device 8 in this embodiment includes: at least one processor 80 ( Figure 8 Only one is shown in the image), and a memory 81 is stored in which a computer program 82 that can run on the processor 80 is stored. When the processor 80 executes the computer program 82, it implements the steps in the above-described embodiments of the dual-mode power communication detection method, for example... Figure 1 Steps S101 to S106 are shown. Alternatively, when the processor 80 executes the computer program 82, it implements the functions of each module / unit in the above system embodiments, for example... Figure 7The functions of the illustrated modules 710-760.

[0139] The terminal device 8 can be a desktop computer, a notebook computer, a palm computer, a cloud server, and the like. The terminal device can include, but is not limited to, a processor 80 and a memory 81. Those skilled in the art can understand that the terminal device 8 can include more or less components, or combine some components, or include different components, for example, the terminal device can also include an input sending device, a network access device, a bus, and the like. Figure 8 The terminal device 8 shown is only an example and does not constitute a limitation on the terminal device 8, and can include more or less components than shown, or combine some components, or different components, for example, the terminal device can also include an input sending device, a network access device, a bus, and the like.

[0140] The processor 80 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and the like. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0141] The memory 81 can be an internal storage unit of the terminal device 8 in some embodiments, for example, a hard disk or a memory of the terminal device 8. The memory 81 can also be an external storage device of the terminal device 8, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like. Further, the memory 81 can include both an internal storage unit and an external storage device of the terminal device 8. The memory 81 is used to store an operating system, application programs, a boot loader, data, and other programs, for example, program codes of the computer program, and the like. The memory 81 can also be used to temporarily store data that has been transmitted or will be transmitted.

[0142] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0143] The embodiment of the present application further provides a terminal device, which comprises at least one memory, at least one processor, and a computer program stored in the at least one memory and executable on the at least one processor, wherein the processor executes the computer program to enable the terminal device to implement the steps in any of the above method embodiments.

[0144] The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement the steps in any of the above method embodiments.

[0145] The embodiment of the present application provides a computer program product, which, when executed on a terminal device, enables the terminal device to implement the steps in any of the above method embodiments.

[0146] The integrated modules / units, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, the embodiment of the present application can also be implemented by a computer program to instruct related hardware to complete, the computer program can be stored in a computer readable storage medium, and the computer program, when executed by a processor, can implement the steps in each of the above method embodiments. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), electric carrier wave signal, telecommunication signal and software distribution medium, etc.

[0147] In the above embodiments, the description of each embodiment has its own focus, and the parts not described or recorded in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0148] Those skilled in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0149] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may also be distributed to multiple network units. Part or all of the units can be selected to achieve the purpose of the embodiment scheme according to actual needs.

[0150] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for detecting dual-mode power communication, characterized in that, include: Acquire multiple power line carrier communication parameter information, multiple wireless communication channel parameter information, multiple power dual-mode communication environment information, and multiple power dual-mode communication fusion parameter information; Based on multiple power line carrier communication parameter information, wireless communication channel parameter information, power dual-mode communication environment information, and power dual-mode communication fusion parameter information, a feature matrix is ​​constructed to generate multiple power dual-mode communication feature matrix information. Based on multiple power dual-mode communication feature matrix information, preset initial group position information, and preset initial group movement speed information, multiple initial power dual-mode communication feature matrices are generated to search for group information. Based on the initial dual-mode power communication feature matrix search group information and the preset dual-mode power communication feature matrix search iteration number information, the target dual-mode power communication feature matrix search individual information is generated. Based on the target power dual-mode communication feature matrix, search for individual information and generate power dual-mode communication channel search information; Based on the power dual-mode communication channel search information, channel search processing is performed to determine the power dual-mode communication channel, so as to realize power dual-mode communication detection through the power dual-mode communication channel.

2. The power dual-mode communication detection method as described in claim 1, characterized in that, The step of constructing a feature matrix based on multiple power line carrier communication parameter information, wireless communication channel parameter information, power dual-mode communication environment information, and power dual-mode communication fusion parameter information to generate multiple power dual-mode communication feature matrix information specifically includes: Time-frequency domain features are extracted from multiple power line carrier communication parameter information, wireless communication channel parameter information, power dual-mode communication environment information, and power dual-mode communication fusion parameter information to obtain multiple power dual-mode communication time-frequency domain feature information and multiple power dual-mode communication multi-dimensional feature information. Based on multiple power dual-mode communication time-frequency domain feature information, power dual-mode communication multi-dimensional feature information, preset power line parameter embedding feature matrix, preset wireless parameter embedding feature matrix, preset power environment parameter embedding matrix, and preset power dual-mode communication fusion parameter embedding matrix, multiple power dual-mode communication feature matrix embedding information is generated. Position encoding processing is performed on the embedding information of multiple power dual-mode communication feature matrices to generate multiple power dual-mode communication feature encoding information; Based on multiple preset power dual-mode communication feature coding interaction matrices, feature coding interaction processing is performed on multiple power dual-mode communication feature coding information to generate multiple power dual-mode communication feature matrix information.

3. The power dual-mode communication detection method as described in claim 2, characterized in that, Multiple preset dual-mode power communication feature coding interaction matrices include a preset first dual-mode power communication feature coding interaction matrix, a preset second dual-mode power communication feature coding interaction matrix, and a preset third dual-mode power communication feature coding interaction matrix. The step of generating multiple power dual-mode communication feature matrix information by performing feature encoding interaction processing on multiple preset power dual-mode communication feature encoding interaction matrices specifically includes: Based on the multiple power dual-mode communication feature coding information and the preset first power dual-mode communication feature coding interaction matrix, multiple first power dual-mode communication feature interaction matrix information are generated. Based on the multiple power dual-mode communication feature coding information and the preset second power dual-mode communication feature coding interaction matrix, multiple second power dual-mode communication feature interaction matrix information are generated. Based on the multiple power dual-mode communication feature coding information and the preset third power dual-mode communication feature coding interaction matrix, multiple third power dual-mode communication feature interaction matrix information are generated. Based on the first and second power dual-mode communication feature interaction matrix information, multiple power dual-mode communication feature interaction weight matrix information are calculated. Multiple power dual-mode communication feature matrix information is generated based on the multiple power dual-mode communication feature interaction weight matrix information and the third power dual-mode communication feature interaction matrix information.

4. The power dual-mode communication detection method as described in claim 1, characterized in that, The step of generating multiple initial power dual-mode communication feature matrices to search for group information based on multiple power dual-mode communication feature matrix information, preset initial group position information, and preset initial group movement speed information specifically includes: Based on the preset initial group position information, the position space mapping processing is performed on multiple power dual-mode communication feature matrix information to generate multiple initial power dual-mode communication feature matrix position mapping information. Based on the position mapping information of multiple initial power dual-mode communication feature matrices and the preset initial group movement speed information, the individual movement parameter information of multiple power dual-mode communication feature matrices is obtained. Based on the location mapping information of multiple initial power dual-mode communication feature matrices and the individual movement parameter information searched by the power dual-mode communication feature matrices, the individual information is searched using multiple initial power dual-mode communication feature matrices. Calculate the similarity information between individual information of each of the initial power dual-mode communication feature matrices to obtain the similarity information of multiple initial power dual-mode communication feature individuals; When the initial power dual-mode communication feature individual similarity information is less than the preset power dual-mode communication feature individual similarity threshold, then individual information is searched based on the initial power dual-mode communication feature matrix corresponding to the initial power dual-mode communication feature individual similarity information, and initial power dual-mode communication feature matrix search group information is generated.

5. The power dual-mode communication detection method as described in claim 1, characterized in that, The step of generating individual information for the target power dual-mode communication feature matrix search based on the initial power dual-mode communication feature matrix search group information and the preset power dual-mode communication feature matrix search iteration number information specifically includes: Extract multiple initial power line carrier communication quality information and multiple initial wireless channel communication quality information from the initial power dual-mode communication feature matrix search group information; Based on the initial power line carrier communication quality information, the initial wireless channel communication quality information, and the preset feature matrix search group parameter weight information, the fitness information of the initial communication feature matrix search group is calculated. The initial power dual-mode communication feature matrix search group information corresponding to the maximum value of the fitness information of the multiple initial communication feature matrix search groups is used as the intermediate power dual-mode communication feature matrix search group information. Based on the initial power dual-mode communication feature matrix search group information, intermediate power dual-mode communication feature matrix search group information, preset power dual-mode communication feature matrix group search speed adjustment information, and preset power dual-mode communication feature matrix group search path adjustment information, iterative calculations are performed to obtain multiple intermediate power dual-mode communication feature matrix iterative group information and intermediate power dual-mode communication feature matrix group iteration number information. Determine whether the number of iterations of the intermediate power dual-mode communication feature matrix group is less than or equal to the preset number of iterations of the power dual-mode communication feature matrix search; If so, the intermediate power dual-mode communication feature matrix iterative group information is used as the initial power dual-mode communication feature matrix search group information, and the process returns to the step of extracting multiple initial power line carrier communication quality information and multiple initial wireless channel communication quality information from multiple initial power dual-mode communication feature matrix search group information. If not, extract multiple intermediate power line carrier communication quality iteration information and multiple intermediate wireless channel communication quality iteration information from the multiple intermediate power dual-mode communication feature matrix iterative group information. Based on the multiple intermediate power line carrier communication quality iteration information, intermediate wireless channel communication quality iteration information, and preset feature matrix search group parameter weight information, multiple intermediate communication feature matrix iteration group fitness information are calculated. The intermediate power dual-mode communication feature matrix iterative group information corresponding to the maximum value of the iterative group fitness information of the multiple intermediate communication feature matrices is used as the target power dual-mode communication feature matrix search group information. Extract the target power dual-mode communication feature matrix to search for group information and then search for individual information using multiple power dual-mode communication feature matrices. Based on the multiple power dual-mode communication feature matrices, individual information is searched to obtain power line carrier communication quality information and wireless channel communication quality information of multiple feature individuals. Based on the power line carrier communication quality information of multiple feature individuals, the wireless channel communication quality information of feature individuals, and the preset feature matrix search individual parameter weight information, the fitness of multiple communication feature matrix search individuals is calculated. The individual information of the power dual-mode communication feature matrix search corresponding to the maximum value of the fitness of the multiple individuals searched by the communication feature matrix is ​​taken as the target power dual-mode communication feature matrix search individual information.

6. The power dual-mode communication detection method as described in claim 1, characterized in that, The step of searching individual information based on the target power dual-mode communication feature matrix to generate power dual-mode communication channel search information specifically includes: The individual information of the target power dual-mode communication feature matrix is ​​searched and processed by dimension parsing to obtain the row dimension information and column dimension information of the power dual-mode communication feature matrix. The row dimension information and column dimension information of the power dual-mode communication feature matrix are structured to generate power dual-mode communication channel search information.

7. The power dual-mode communication detection method as described in claim 1, characterized in that, The power line carrier communication parameter information includes power line carrier communication physical parameter information and power line carrier communication protocol parameter information. The power line carrier communication physical parameter information includes power line carrier communication attenuation parameter information, power line carrier communication signal-to-noise ratio information, and power line carrier communication channel bandwidth information; The power line carrier communication protocol parameter information includes power line carrier communication modulation parameter information, power line carrier communication bit error rate information, and power line carrier communication transmission rate information. The wireless communication channel parameter information includes wireless communication channel fading parameter information, wireless communication channel frequency offset information, and wireless communication channel signal-to-interference-plus-noise ratio information. The power dual-mode communication environment information includes power dual-mode communication environment background noise information, power dual-mode communication environment harmonic interference information, power dual-mode communication environment temperature and humidity information, and power dual-mode communication environment load information. The power dual-mode communication fusion parameter information includes power dual-mode communication link power allocation weight information, power dual-mode switching threshold information, power dual-mode communication service data offloading ratio information, and power dual-mode communication synchronization error control information.

8. A power dual-mode communication detection system, characterized in that, include: The information acquisition module is used to acquire multiple power line carrier communication parameter information, multiple wireless communication channel parameter information, multiple power dual-mode communication environment information, and multiple power dual-mode communication fusion parameter information. The power dual-mode communication feature matrix information generation module is used to construct a feature matrix based on multiple power line carrier communication parameter information, wireless communication channel parameter information, power dual-mode communication environment information, and power dual-mode communication fusion parameter information, and generate multiple power dual-mode communication feature matrix information. The initial power dual-mode communication feature matrix search group information generation module is used to generate multiple initial power dual-mode communication feature matrix search group information based on multiple power dual-mode communication feature matrix information, preset initial group position information, and preset initial group movement speed information. The target power dual-mode communication feature matrix search individual information generation module is used to generate target power dual-mode communication feature matrix search individual information based on multiple initial power dual-mode communication feature matrix search group information and preset power dual-mode communication feature matrix search iteration number information. The power dual-mode communication channel search information generation module is used to search for individual information based on the target power dual-mode communication feature matrix and generate power dual-mode communication channel search information. The power dual-mode communication channel determination module is used to perform channel search processing based on the power dual-mode communication channel search information to determine the power dual-mode communication channel, so as to realize power dual-mode communication detection through the power dual-mode communication channel.

9. A terminal device, characterized in that, The terminal device includes a memory and a processor. The memory stores a computer program that can run on the processor. When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

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