A communication method and system based on HPLC and HRF dual-mode fusion

Abstract

The application provides a communication method and system based on HPLC and HRF double-mode fusion, and belongs to the field of power line carrier communication, and solves the problem of insufficient communication performance in a three-phase four-wire low-voltage power grid environment. The method comprises the following steps: in the high-speed power carrier communication channel of the three-phase four-wire power grid, the power phase of each terminal is learned dynamically through carrier coupling, an electric phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded; in combination with the electric phase communication spectrum generated on the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified; in the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a cross-phase relay path is established through a high-speed wireless communication channel.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power line carrier communication, and in particular to a communication method and system based on HPLC and HRF dual-mode fusion. BACKGROUND

[0002] HPLC (High-speed Power Line Communication) has high transmission rate, and the frequency can reach 30MHz, so that data communication can be performed by using a power line (such as 220V) without additional wiring. HRF (High-speed Radio Frequency) usually adopts a Sub-GHz frequency band, has good wall-penetrating ability and long-distance transmission characteristics, and has strong anti-interference ability, and is suitable for a supplementary path in a signal unstable or PLC channel quality poor scenario. In a dual-mode communication architecture, the network deployment convenience of power line communication and the flexible coverage of wireless communication are combined, and the architecture is suitable for a low-voltage power distribution communication scenario of a smart grid. However, in a three-phase four-wire low-voltage power grid environment, the communication performance is still insufficient. SUMMARY

[0003] Embodiments of the present application provide a communication method and system based on HPLC and HRF dual-mode fusion, which can solve the problem that the communication performance is still insufficient in a three-phase four-wire low-voltage power grid environment.

[0004] A first aspect of embodiments of the present application provides a communication method based on HPLC and HRF dual-mode fusion, comprising:

[0005] In a high-speed power line carrier communication channel of a three-phase four-wire power grid, the electrical phase in which each terminal is located is dynamically learned by carrier coupling, an electrical phase recognition model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded;

[0006] In combination with an electrical phase communication map generated by a concentrator side based on the phase information of each terminal, a link isolation state between different phase lines is identified;

[0007] In a case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a cross-phase relay path is established through a high-speed wireless communication channel.

[0008] Optionally, in the high-speed power line carrier communication channel of the three-phase four-wire power grid, the electrical phase in which each terminal is located is dynamically learned by carrier coupling, an electrical phase recognition model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded, comprising:

[0009] In the high-speed power carrier communication channel of the three-phase four-wire power grid, each terminal controls the high-speed power carrier communication channel accessed by the terminal, continuously detects the carrier coupling success rate under multiple modulation frequencies and multiple frame periods;

[0010] Based on the success rate distribution under different frequencies, the amplitude fluctuation characteristics in adjacent periods, and the mutual interference mode of the cross-terminal link, the multi-dimensional feature parameters related to the electrical phase of the terminal are extracted;

[0011] The multi-dimensional feature parameters are input into the electrical phase recognition model for clustering learning to generate the electrical phase label corresponding to each terminal, thereby forming the phase line feature vector of each terminal.

[0012] Optionally, in the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a cross-phase relay path is established through the high-speed wireless communication channel, comprising:

[0013] In the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, the concentrator preferentially utilizes the high-speed wireless communication channel to forward data across phases in the routing scheduling, and utilizes the high-speed power carrier communication channel for aggregation within the phase to construct a hybrid load optimal balance.

[0014] Optionally, it further comprises:

[0015] A terminal gene identification parameter is added to the HRF protocol frame of the high-speed wireless communication channel to construct a terminal identity feature vector based on the frequency phase fingerprint and hardware spur characteristics;

[0016] A local signal signature library is constructed on the concentrator side, and by comparing the source characteristics of the received HRF data packet with the terminal identity feature vector, an abnormal pseudo packet emitted by an unexpected terminal source in the current link is identified;

[0017] In the case where the presence of abnormal pseudo packet interference leads to a decrease in link communication reliability, a preset local micro-frequency hopping strategy is executed, and in the local micro-frequency hopping process, the modulation parameters are dynamically adjusted based on the interference source spectrum characteristics to avoid the interference waveband.

[0018] Optionally, in the case where the presence of abnormal pseudo packet interference leads to a decrease in link communication reliability, a preset local micro-frequency hopping strategy is executed, and in the local micro-frequency hopping process, the modulation parameters are dynamically adjusted based on the interference source spectrum characteristics to avoid the interference waveband, comprising:

[0019] In the case where the presence of abnormal pseudo packet interference leads to a decrease in link communication reliability, the frequency energy distribution is calculated based on the interference source spectrum characteristics to locate the high-power interference source subband;

[0020] Dynamically selecting a candidate frequency point farthest from the sub-band of the interference source in a set of available high-frequency channels to locally hop the high-speed wireless communication channel to the candidate frequency point within a preset terminal range.

[0021] Optionally, the method further comprises:

[0022] In the high-speed power carrier communication channel of the three-phase four-wire power grid, the echo attenuation characteristics of different frequency bands are collected in real time through the link layer, and a local multipath feature vector of the terminal is constructed based on the time difference of arrival of multipath echoes.

[0023] A lightweight spectrum separation network is deployed on the concentrator side, and whether there is a stable ghost peak in the communication signal is identified based on the multipath feature vector, and the multipath interference state of the terminal is dynamically updated.

[0024] In the case where it is determined based on the ghost peak that ghost interference exists in the high-speed power carrier communication channel and affects the stability of the main path signal, the strongest interference-free frequency band corresponding to the main path signal is dynamically selected from a set of locally available frequency points for frequency hopping.

[0025] Optionally, the method further comprises:

[0026] During the switching to the strongest interference-free frequency band, an HRF backup relay path is established through the high-speed wireless communication channel to synchronously transmit key frame data during frequency hopping.

[0027] The second aspect of the embodiments of the application provides a communication system based on HPLC and HRF dual-mode fusion, comprising:

[0028] A construction unit is configured to, in the high-speed power carrier communication channel of the three-phase four-wire power grid, dynamically learn the electrical phase in which each terminal is located through carrier coupling power, construct an electrical phase identification model and record the communication characteristics of the phase line to which each terminal belongs.

[0029] An identification unit is configured to identify the link isolation state between different phase lines in combination with an electrical phase communication map generated by the concentrator side based on the phase information of each terminal.

[0030] An optimization unit is configured to, in the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, execute a preset coordinated packet sending optimization strategy, and in the optimization process, establish a different-phase relay path through the high-speed wireless communication channel.

[0031] The third aspect of the embodiments of the application provides an electronic device, comprising a memory and a processor, wherein the processor is configured to execute a computer program stored in the memory to implement the steps of the communication method based on HPLC and HRF dual-mode fusion described above.

[0032] The fourth aspect of the embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the communication method based on HPLC and HRF dual-mode fusion.

[0033] In a three-phase four-wire low-voltage power grid environment, power line carrier communication transmits data based on the physical topology of the phase lines of the power grid. However, the electrical isolation between different phase lines leads to a significant decrease in cross-phase communication performance. In traditional schemes, although a high-speed wireless communication channel can be introduced as a supplement, there is a lack of coordinated modeling of the electrical phase information, resulting in insufficient efficiency of the system in link scheduling and relay deployment at multi-phase terminal nodes. In view of the above, the communication method based on HPLC and HRF dual-mode fusion provided by the embodiment of the present application dynamically learns the electrical phase of each terminal through carrier coupling in the high-speed power line carrier communication channel of the three-phase four-wire power grid, constructs an electrical phase recognition model and records the communication characteristics of the phase line to which each terminal belongs; in combination with the electrical phase communication map generated by the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified; in the case where it is determined that there is a cross-phase communication bottleneck based on the link isolation state, a preset cooperative packet optimization strategy is executed, and in the optimization process, a cross-phase relay path is established through the high-speed wireless communication channel. Thus, by dynamically learning the electrical phase characteristics of the terminal, the system can automatically update the configuration in the case where the power grid topology frequently changes, avoiding the problem that link scheduling depends on static parameters. The electrical phase communication map analyzes the cross-phase link characteristics from a global perspective, can identify and mark high-impedance bottleneck paths in advance, and makes resource scheduling more targeted. By establishing a cross-phase relay path through the HRF channel, the problem of cross-phase high-frequency signal attenuation is solved from the physical layer, and the time slot utilization and link stability of the system are improved through cooperative packet optimization. HPLC and HRF cooperate in parallel, which not only utilizes the coverage advantage of power line communication, but also relies on the anti-isolation capability of the wireless channel to achieve more efficient resource integration and link robustness.

[0034] Correspondingly, the system, the electronic device and the computer readable storage medium provided by the embodiment of the present application also have the above technical effects. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 A possible communication method based on HPLC and HRF dual-mode fusion provided by the embodiment of the present application is shown in the flowchart;

[0036] Figure 2 A possible communication system based on HPLC and HRF dual-mode fusion provided by the embodiment of the present application is shown in the schematic structural block diagram;

[0037] Figure 3 A possible hardware structure of the communication system based on HPLC and HRF dual-mode fusion provided by the embodiment of the present application is shown in the schematic diagram.

[0038] Figure 4 A possible schematic structural block diagram of an electronic device provided for an embodiment of the present application;

[0039] Figure 5 A possible schematic structural block diagram of a computer readable storage medium provided for an embodiment of the present application. DETAILED DESCRIPTION

[0040] The embodiment of the present application provides a communication method based on HPLC and HRF double-mode fusion and related equipment, and can solve the problem of insufficient communication performance in a three-phase four-wire low-voltage power grid environment.

[0041] The terms "first", "second", "third", "fourth" and the like in the description, claims, and drawings of the present application (if any) are used to distinguish between similar objects, not necessarily described in a particular order or sequence. It should be understood that the data thus used can be interchanged, where appropriate, so that the embodiments described herein can be carried out in other than the order depicted or described herein. Furthermore, the terms "comprise" and "have", and any variations thereof, are intended to cover non-exclusive inclusion, for example, processes, methods, systems, products, or devices that comprise a list of steps or units are not necessarily limited to those clearly listed, but can include other steps or units not clearly listed or inherent to such processes, methods, products, or devices. The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments.

[0042] Please refer to Figure 1 A flowchart of a communication method based on HPLC and HRF double-mode fusion provided for an embodiment of the present application, and specifically can include:

[0043] S110-S130.

[0044] S110, in a high-speed power carrier communication channel of a three-phase four-wire power grid, power dynamic learning of each terminal is performed through carrier coupling to determine the electrical phase where each terminal is located, an electrical phase identification model is constructed, and communication characteristics of each terminal belonging to a phase line are recorded.

[0045] S120, in combination with the electrical phase communication spectrum generated by the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified.

[0046] S130, in the case where it is determined that there is a cross-phase communication bottleneck based on the link isolation state, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a different-phase relay path is established through a high-speed wireless communication channel.

[0047] It can be understood that in the three-phase four-wire low-voltage power grid environment, high-speed power carrier communication HPLC uses the existing power line as the transmission medium, which can effectively reduce the wiring cost and realize wide-area coverage. However, due to the structural characteristics of the three-phase four-wire power grid, there is electrical isolation between different phase lines, and the signal needs to pass through the transformer winding or inductive path when communicating across the phase, resulting in significant attenuation, reflection and distortion of high-frequency carrier in cross-phase propagation, thereby causing a decrease in communication throughput and link instability. The traditional method attempts to supplement the deficiency of HPLC by introducing a high-speed wireless channel HRF, but lacks dynamic identification of terminal phase information and cooperative modeling of link state, resulting in blind deployment of cross-phase relay and inefficient resource scheduling. By dynamically learning the electrical phase of each terminal based on the carrier coupling success rate at the terminal side, combining the electrical phase communication graph at the concentrator side to identify the link isolation state, and establishing a cross-phase relay path using a high-speed wireless channel when the cross-phase communication bottleneck is identified, the deep integration of HPLC and HRF is realized, and the reliability of the cross-phase link and the overall performance of the system are improved.

[0048] For example, based on the terminal electrical phase identification and modeling of the carrier coupling success rate, in the high-speed power carrier communication channel of the three-phase four-wire power grid, each terminal periodically detects the carrier coupling success rate at multiple modulation frequencies and multiple frame periods, and constructs the corresponding signal feature vector combining the detection results. Specifically, the HPLC module of the terminal will poll different modulation frequencies in the high frequency band of 0.7MHz to 12MHz, measure the return signal-to-noise ratio, bit error rate, power loss and spectrum response curve by sending a low-power probe signal, to characterize the coupling characteristics of the terminal in a specific phase line. All terminals report the feature data to the concentrator, and the concentrator uses machine learning models such as SVM classifiers or K-means clusterers to train the electrical phase identification model, to achieve high-precision identification and update of the electrical phase of each terminal. When the power grid topology changes, such as the addition of new users or load migration causing changes in phase line characteristics, the terminal will trigger real-time relearning to avoid identification errors caused by relying on fixed configuration. For example, T1 and T2 terminals in a residential area access phase A, and T3 accesses phase B. The coupling loss of T3 near 20MHz is more than 10dB higher than that of T1 and T2, and the model accurately determines that T3 belongs to phase B, avoiding incorrect allocation to the A-phase broadcast group. This step realizes dynamic adaptive identification of the terminal phase line, avoids the lag of traditional fixed phase configuration, and the electrical phase identification accuracy can be improved to more than 95%, providing reliable data support for subsequent cross-phase optimization.

[0049] Exemplarily, based on the link isolation state identification of the concentrator side electrical phase communication graph, after completing the terminal electrical phase identification, the concentrator generates an electrical phase communication graph based on the phase line information of each terminal, the communication link state and the end-to-end interaction performance index, and identifies the cross-phase link isolation state based on the electrical phase communication graph. Specifically, the concentrator collects real-time quality parameters of all terminal-to-terminal links, including at least one of received signal strength RSSI, packet loss rate PER, propagation delay Latency and bit error rate BER, constructs a global link matrix, and performs cluster analysis in combination with the electrical phase category of the terminal. On this basis, the concentrator generates a multi-dimensional communication graph by calculating the performance difference between the intra-phase link and the cross-phase link, which depicts the intra-phase communication quality and the cross-phase transmission bottleneck. For example, in a certain residential area, the average link attenuation from phase A to phase B is as high as 45 dB, and the average link attenuation from phase A to phase C is only 15 dB. The concentrator will mark the A-B path as a severely isolated link, and the A-C path as a weakly isolated link. Thus, through the graph-based global link state modeling, the concentrator can discover the cross-phase bottleneck position in real time, avoid blind scheduling of resources, and provide quantifiable decision basis for subsequent heterogeneous phase relay optimization, so as to significantly improve the cross-phase link state identification accuracy and reduce the invalid cross-phase data retransmission rate.

[0050] Exemplarily, cross-phase communication bottleneck detection and coordinated packet optimization can be performed. In the case where the concentrator determines that there is a cross-phase communication bottleneck based on the electrical phase communication graph, the concentrator starts a preset coordinated packet optimization strategy, fully utilizes the cooperation of the HPLC and the HRF dual channels, and realizes dynamic optimization of the cross-phase relay path. Specifically, the concentrator first selects all candidate same-phase terminals at both ends of the cross-phase link, and selects the optimal relay node by comprehensively considering the HPLC link quality, HRF signal strength, energy consumption and other multi-dimensional indexes. Subsequently, the heterogeneous phase relay path is established in the high-speed wireless communication channel such as 470MHz-510MHz, 2.4GHz or Sub-GHz frequency band, the cross-phase data is efficiently forwarded to the target terminal through the HRF link of the relay terminal, and time slot level synchronization is realized between the HPLC and the HRF channel to avoid conflict and redundant transmission. For example, in the cell C, the packet loss rate of the HPLC link between T5 (phase A) and T8 (phase C) is as high as 60%, and the concentrator selects T6 (located in phase B and at the intersection of phase A and phase C) as the optimal relay to establish a stable and low-latency cross-phase data channel between phase A and phase C through the HRF link of T6. Thus, the cross-phase communication performance can be significantly improved, the cross-phase link latency can be reduced, the system overall throughput can be improved, and the relay resource utilization rate can be improved, realizing high-reliability, low-latency and low-energy consumption communication among multi-phase terminals.

[0051] The communication method based on HPLC and HRF double-mode fusion provided by the embodiment of the application, through carrier coupling in the high-speed power carrier communication channel of the three-phase four-wire power grid, the power dynamic learning of each terminal is performed to learn the electrical phase where each terminal is located, an electrical phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded; in combination with the electrical phase communication spectrum generated by the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified; in the case that it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a different-phase relay path is established through the high-speed wireless communication channel. Therefore, by dynamically learning the electrical phase characteristics of the terminal, the system can automatically update the configuration in the case that the power grid topology frequently changes, and the problem that the link scheduling depends on static parameters is avoided. The electrical phase communication spectrum analyzes the cross-phase link characteristics from a global perspective, can identify and mark high-impedance bottleneck paths in advance, and makes the resource scheduling more targeted. The different-phase relay path is established through the HRF channel, the problem of cross-phase high-frequency signal attenuation is solved from the physical layer, and the time slot utilization and link stability of the system are improved through cooperative packet sending optimization. HPLC and HRF cooperate in parallel, which not only utilizes the coverage advantage of power line communication, but also utilizes the anti-isolation capability of the wireless channel, and realizes more efficient resource integration and link robustness.

[0052] In some examples, the power dynamic learning of each terminal is performed in the high-speed power carrier communication channel of the three-phase four-wire power grid through carrier coupling, an electrical phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded, including:

[0053] In the high-speed power carrier communication channel of the three-phase four-wire power grid, each terminal is controlled to continuously detect the carrier coupling success rate at multiple modulation frequencies and multiple frame periods based on the accessed high-speed power carrier communication channel;

[0054] Based on the success rate distribution at different frequencies, the amplitude fluctuation characteristics in adjacent periods, and the mutual interference mode of the cross-terminal link, the multi-dimensional feature parameters related to the electrical phase of the terminal are extracted;

[0055] The multi-dimensional feature parameters are input into the electrical phase identification model for clustering learning, to generate the electrical phase label corresponding to each terminal, so as to form the phase line feature vector of each terminal.

[0056] Exemplarily, in the high-speed power carrier communication channel of a three-phase four-wire power grid, each terminal controls the continuous detection of carrier coupling success rate at multiple modulation frequencies and multiple frame periods based on the accessed high-speed power carrier communication channel. Specifically, the terminal obtains the power attenuation at different frequencies and the reliability performance of the communication link through the energy injection and feedback response of the high-frequency signal on each phase line. Through continuous observation of multiple periods, the dynamic changes of the coupling characteristics in different time periods can be captured, including the influence of factors such as periodic load disturbance, transient arc interference, or high-frequency impedance fluctuation in low-voltage networks. Due to the significant differences in high-frequency impedance characteristics, phase delay, and electromagnetic coupling paths of different electrical phases, multi-frequency and multi-period detection can obtain the real coupling mode of the terminal on each phase line. By dynamically collecting real-time power response data, the identification error caused by static configuration failure is avoided, and the accuracy of electrical phase attribution determination is fundamentally improved.

[0057] Exemplarily, based on the success rate distribution at different frequencies, the amplitude fluctuation characteristics in adjacent periods, and the mutual interference mode of cross-terminal links, multi-dimensional feature parameters related to the electrical phase of the terminal can be extracted. These parameters not only include the power response and phase information of a single terminal, but also cover the cross-correlation characteristics between multiple terminals, for example: when adjacent terminals inject high-frequency signals at the same time, the channel cross-interference degree is analyzed to capture the energy leakage characteristics of different electrical phases in the spatial distribution. By fusing high-dimensional signal features such as power statistics, phase offset curves, spectral energy concentration, and cross-link interference indexes, the phase line differences can be more accurately distinguished. Compared with the traditional method based on a single signal energy threshold, this step uses multi-dimensional joint features to more robustly distinguish same-phase and different-phase terminals. In the case of grid load mutation, background noise enhancement, or complex inter-phase coupling, high robustness can still be maintained to ensure the consistency and reliability of electrical phase recognition in dynamic environments.

[0058] Exemplarily, the multi-dimensional feature parameters can be input into an electrical phase recognition model for clustering learning to generate electrical phase labels corresponding to each terminal, forming a phase line feature vector for each terminal. The electrical phase recognition model can be based on an improved clustering algorithm, such as a combination of hierarchical clustering and Gaussian mixture modeling, to automatically form class boundaries based on feature distribution in an unsupervised learning framework. After grouping terminals based on clustering results, each terminal obtains a unique electrical phase label and generates a phase line feature vector, which records the statistical characteristics of the terminal in multiple dimensions such as multiple modulation frequencies, cross-period amplitude fluctuations, and adjacent link interference. This dynamic clustering learning mechanism enables the terminal electrical phase label to be updated in real time as the physical environment of the power grid changes, without relying on manual calibration or fixed topology configuration. When the power grid experiences large-scale access load, line switching, or distributed power supply access, the model can automatically identify electrical phase migration, thereby maintaining the continuity and accuracy of subsequent communication link scheduling and cross-phase optimization strategies.

[0059] It can be understood that, thus, by using multi-frequency, multi-cycle, and multi-dimensional feature joint modeling, the problem of failure of traditional single-point energy detection in a dynamic environment is overcome; in complex scenarios such as load switching, harmonic interference, or high-frequency signal attenuation, the terminal phase can still be stably identified; the phase line feature vector of the terminal provides an accurate basis for the construction of the phase communication graph, making the cross-phase bottleneck identification and collaborative packet sending strategy more efficient.

[0060] In some examples, in a case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset collaborative packet optimization strategy is executed, and in the optimization process, a heterogeneous phase relay path is established through a high-speed wireless communication channel, comprising:

[0061] In a case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, the concentrator prioritizes the use of a high-speed wireless communication channel for cross-phase data forwarding in routing scheduling, and uses a high-speed power carrier communication channel for aggregation within the phase to construct a hybrid load optimal balance.

[0062] For example, in a case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, the concentrator first analyzes the cross-phase link quality indicators reflected by the phase communication graph, including the success rate of cross-phase data packet forwarding, delay distribution, link interference, etc. By modeling the link state between different phase lines, the concentrator can identify high-congestion or high-interference sections of the cross-phase link, and dynamically select the optimal cross-phase relay path to avoid forwarding data directly through the damaged link. This step avoids the high packet loss and delay accumulation problem caused by the traditional system's blind reliance on cross-phase forwarding in complex electrical environments by accurately identifying the location of the cross-phase bottleneck, providing accurate optimization constraints for subsequent hybrid routing scheduling strategies.

[0063] For example, after identifying the cross-phase bottleneck, the concentrator can be controlled to prioritize the use of a high-speed wireless communication channel for cross-phase data forwarding in routing scheduling. Specifically, a temporary relay path is established through the high-speed wireless communication channel between terminals, and high-priority data that would otherwise need to be transmitted across phases is completed in the air, thereby bypassing the high-interference or high-barrier sections in the power line. The relay strategy can be dynamically adjusted according to the physical location of the terminal, the phase label, and the available wireless bandwidth to ensure that cross-phase data can be reliably forwarded in a low-interference and low-latency manner. Thus, by introducing a high-speed wireless relay outside the power grid physical layer, the energy attenuation and coupling loss caused by electrical isolation in the cross-phase communication process are significantly reduced, breaking through the bottleneck of traditional single-channel carrier cross-phase transmission and improving the data reachability and stability of the overall system.

[0064] Exemplarily, while the cross-phase data is forwarded through the high-speed wireless relay, the concentrator aggregates data within the phase by using the high-speed power carrier communication channel. Specifically, for terminal nodes within the same phase line, the concentrator integrates multiple data streams within the phase by a dynamic routing mechanism before entering the wireless cross-phase relay node, and preferentially schedules low-interference and low-load intra-phase links to complete uplink transmission. In combination with the aggregated traffic model, the concentrator can allocate bandwidth and scheduling priority according to the real-time load state, to avoid communication bottlenecks caused by repeated occupation of cross-phase relay resources. Thus, through the hybrid collaborative scheduling of the high-speed power carrier channel and the high-speed wireless relay, this step realizes efficient aggregation and reasonable shunting within the phase, reduces the cross-phase routing pressure, and improves the overall load balancing and link utilization of the system.

[0065] It can be understood that, through the collaborative packet sending optimization strategy on the concentrator side, in the framework of dual-mode fusion of the power line carrier communication HPLC and the high-speed wireless communication HRF, the reliability and efficiency of cross-phase communication in a three-phase four-wire low-voltage power grid environment are significantly improved. When the traditional power carrier path is blocked, the cross-phase link is bypassed through the high-speed wireless relay to avoid data interruption caused by physical barriers; in combination with the electrical phase communication graph, cross-phase bottleneck identification and intra-phase load modeling, collaborative optimization of cross-phase and intra-phase links is realized; and even in the case of large-scale terminal access, frequent changes in topology or local power grid failure, the system can still maintain high reliability and low latency communication performance.

[0066] It can be understood that, when multiple dual-mode terminals such as multi-meters are deployed in a building / area, the HRF modules of different terminals may use the same frequency band and lack coordination, which can cause the HRF response frame of one terminal to be incorrectly parsed or shielded by a neighboring terminal, thereby causing packet escape or self-loop, with the system appearing normal but the data being chaotic, especially when multi-hop / multicast is used.

[0067] To solve the above problems, in some examples, the method further includes:

[0068] A terminal gene identification parameter is added to the HRF protocol frame of the high-speed wireless communication channel, to construct a terminal identity feature vector based on frequency phase fingerprints and hardware spurious characteristics;

[0069] A local signal signature library is constructed on the concentrator side, and by comparing the source features of the received HRF data packets with the terminal identity feature vector, abnormal pseudo-packets from non-expected terminal sources in the current link are identified;

[0070] In the case where abnormal pseudo-packet interference causes a decrease in link communication reliability, a preset local micro-frequency hopping strategy is executed, and during the local micro-frequency hopping process, the modulation parameters are dynamically adjusted based on the spectrum characteristics of the interference source to avoid the interference band.

[0071] Exemplarily, in the HRF protocol frame of the high-speed wireless communication channel, a unique terminal genetic identification parameter is generated and embedded for each terminal. The parameter is not a static ID, but is dynamically generated by combining the frequency phase fingerprint of the terminal, the spurious characteristics in the hardware radio frequency link, and the radio frequency modulation noise characteristics, forming a terminal identity feature vector with physical unclonability. By writing the parameter into the identification domain of the HRF protocol frame, the concentrator can directly identify the real identity of each terminal at the data packet level, thereby effectively preventing response conflicts and confusion analysis caused by multiple terminals sharing the same frequency band. By constructing a unique identification based on the frequency phase fingerprint and hardware spurious characteristics, the credibility of terminal identity authentication is improved, and the problems of response misjudgment and data packet redirection caused by shared frequency bands under physical layer noise conditions are avoided, providing a reliable feature basis for subsequent anomaly detection and relay optimization.

[0072] Exemplarily, the concentrator can construct an offline local signal signature library based on the genetic identification parameters of each terminal. The signal signature library records the identity feature vector, frequency domain characteristic spectrum, and time domain signal trajectory of each terminal. When the concentrator receives the HRF data packet, it quickly matches the frequency phase characteristics, spurious spectrum distribution, etc. of the data packet source with the terminal identity feature vector in the signal signature library, thereby identifying whether there is an abnormal pseudo packet from a non-expected terminal source. For example, when the A terminal response frame is incorrectly analyzed and forwarded by the B terminal, the genetic identification is inconsistent with the actual source characteristics, and the concentrator can determine that it is a pseudo packet and perform marking or discarding processing. Through the comparison of the signal signature library and the terminal identity feature, misanalysis, misforwarding, and link self-loop phenomena can be directly identified at the communication link layer, effectively avoiding high packet error rate and redundant routing conflicts of multiple terminals under shared frequency bands, and ensuring the determinacy and consistency of the cross-terminal communication process.

[0073] Exemplarily, when it is detected that abnormal pseudo packet interference causes a decrease in link communication reliability, the concentrator can trigger a preset local micro-frequency hopping strategy. Unlike traditional global frequency hopping, this strategy does not blindly switch between a large range of frequency bands, but calculates the frequency energy distribution based on the spectrum characteristics of the interference source, accurately locates the sub-band position where the high-power interference source is located. On this basis, the concentrator dynamically selects the candidate frequency point farthest from the interference sub-band, and controls the affected terminal to complete the frequency switching of the HRF channel in a small range. At the same time, during the micro-frequency hopping process, the system also synchronously adjusts the modulation depth, phase rotation parameters and other modulation characteristics, so that the new frequency point avoids the main lobe and side lobe of the interference band, and maximizes the robustness of data packet analysis. Through interference-aware driven local micro-frequency hopping and adaptive adjustment of modulation parameters, this strategy can quickly restore link stability while maintaining the existing communication topology, avoid the synchronization reconstruction overhead caused by global large-scale frequency hopping, and reduce the multi-hop packet loss accumulation effect caused by pseudo packet interference.

[0074] It can be understood that in the HPLC and HRF dual-mode fusion communication framework, the terminal gene identifier is constructed by using the physical layer hardware difference, which effectively solves the error analysis problem when multiple terminals share the frequency band, and the signal signature library on the concentrator side realizes the source end authentication of the link layer, which fundamentally suppresses the packet escape, self-loop and redundant relay. And based on the local micro-frequency hopping strategy of the interference source spectrum characteristics, the link stability is maintained and the burden of synchronization reconstruction is reduced in the interference environment, especially in the multi-level topology of the transformer area, the conflict accumulation problem is avoided when high concurrency multicast is used, and the scalability and determinacy of end-to-end are enhanced.

[0075] In some examples, in the case that the link communication reliability is reduced due to the abnormal pseudo packet interference, a preset local micro-frequency hopping strategy is executed, and in the local micro-frequency hopping process, the modulation parameters are dynamically adjusted based on the interference source spectrum characteristics to avoid the interference waveband, including:

[0076] In the case that the link communication reliability is reduced due to the abnormal pseudo packet interference, the frequency energy distribution is calculated according to the interference source spectrum characteristics, and the high-power interference source sub-band is located.

[0077] In the available high-frequency channel set, the candidate frequency point farthest from the interference source sub-band is dynamically selected to switch the local frequency hopping of the high-speed wireless communication channel within the preset terminal range to the candidate frequency point.

[0078] For example, in high-speed wireless communication channels, when a decrease in link communication reliability is detected, such as an increase in the pseudo packet rate or a surge in the number of retransmissions, the power spectrum of the current communication channel is first sampled in real time by the spectrum analysis module. By comparing the normal power distribution with the power peak distribution in the abnormal state, the characteristic information of the interference source is extracted, including the interference power peak, the frequency center position, the bandwidth, and the noise threshold. The key to this step is to capture the specific distribution pattern of the interference energy in the frequency domain, thereby providing a basis for subsequent interference source sub-band positioning. For example, when 16 dual-mode terminals are deployed in the same building, the HRF transmission module of a certain terminal produces a high-power spurious wave near 486.5 MHz due to hardware misalignment. Through power spectrum estimation, the system can identify that the frequency range corresponding to the spurious wave is 486.2-486.8 MHz, and mark this interval as a potential interference sub-band. Based on the extracted interference characteristics, the power spectrum density (PSD) in the available channel range is analyzed in detail using the short-time Fourier transform (STFT) or wavelet packet energy distribution algorithm. According to the analysis results, the sub-band region where the interference energy is significantly higher than the background noise is located as the high-power interference source sub-band. This step constructs a dynamic energy map, enabling the concentrator to perceive the interference intensity of different frequency sub-bands. Compared with traditional fixed-frequency static interference avoidance, this scheme can capture the dynamic changes of local energy in the frequency domain in real time, thereby improving the accuracy of frequency switching. In the aforementioned example, through frequency energy analysis, the system can determine that the power energy peak in the 486.2-486.8 MHz range exceeds the background noise by 4 times, so this interval is locked as a high-power interference source sub-band. A set of available high-frequency channels is maintained on the concentrator side, such as 8 segmented channels in the 470-510 MHz interval. After locating the high-power interference sub-band, the system calculates the spectral distance between each available frequency point and the interference center frequency, and preferentially selects the frequency point farthest from the interference source sub-band and with a relatively stable power spectrum as the candidate frequency point. In addition, this strategy also considers the current network load and the interference state across terminals during the selection process to avoid multiple terminals switching to the same new frequency point, causing secondary conflicts. Through the global scheduling capability of the concentrator, balanced allocation of frequency resources among terminals is achieved. For example, in the case where 486.2-486.8 MHz is marked as an interference sub-band, if the available channels are 472.0, 478.8, 491.6, and 508.4 MHz, the system will preferentially select 486.5 MHz, which is farthest from the interference source, as the candidate frequency point. After selecting the candidate frequency point, the concentrator multicasts local micro-frequency hopping instructions to the affected terminal group, instructing them to switch to the new operating frequency point synchronously. Here, local refers to the micro-frequency hopping operation being performed only within the range of terminals affected by the interference, rather than switching all terminals in the network, thereby reducing the overhead caused by large-scale frequency reconfiguration.In the switching process, the terminal will dynamically adjust the new modulation parameters such as carrier amplitude, symbol rate and coding mode based on the spectrum characteristics of the interference source, ensure that the new frequency point is isolated from the interference interval in the power spectrum, and improve the link stability after switching. Thus, through the calculation of frequency energy distribution and the positioning of high-power interference sub-band, the system can realize precise avoidance based on interference characteristics, rather than blind switching, thereby fundamentally improving the anti-interference ability. And by calculating the channel energy distribution in real time, the system can dynamically select the available high-frequency channel, so that the communication resources can be adjusted adaptively according to the actual interference situation, rather than relying on fixed frequency points. In addition, by performing micro-hopping switching within the preset terminal range, rather than full-network synchronous switching, the frequency reconfiguration bandwidth overhead is reduced, and the communication interruption of terminals not affected by interference is avoided. Since the scheme avoids the synchronous selection of adjacent frequency points by multiple terminals in the design, the packet collision caused by frequency point congestion is reduced, and therefore it is particularly suitable for multi-hop transmission and multicast communication scenarios. The micro-hopping strategy cooperates with the high-speed power carrier communication and high-speed wireless communication of the dual-mode terminal, so that the system can still maintain high availability and link continuity in a complex interference environment.

[0079] It can be understood that in the building power distribution room or high-density terminal box scene, the HPLC high-frequency carrier signal will be multi-path reflected in the metal pipeline, bus and parallel cable. When the delay of multiple paths is close, a narrow-band spectral ghost is formed. At this time, the traditional bit error rate detection cannot distinguish whether it is transient interference or stability degradation, and the terminal often maintains the original frequency point incorrectly, resulting in continuous high bit error without self-healing.

[0080] To solve the above problems, in some examples, further comprising:

[0081] In the high-speed power carrier communication channel of the three-phase four-wire power grid, the echo attenuation characteristics of different frequency bands are collected in real time through the link layer, and the local multipath feature vector of the terminal is constructed based on the time difference of multipath echo arrival;

[0082] Through the lightweight spectrum separation network deployed on the concentrator side, it is determined whether there is a stable ghost peak in the communication signal based on the multipath feature vector, and the multipath interference state of the terminal is dynamically updated;

[0083] In the case where it is determined based on the ghost peak that there is a ghost interference in the high-speed power carrier communication channel and it affects the stability of the main path signal, the strongest interference-free frequency band corresponding to the main path signal is dynamically selected from the local available frequency point set for frequency hopping switching.

[0084] It can be understood that in the building power distribution room or high-density terminal box environment, the high-speed power carrier communication signal of the three-phase four-wire low-voltage power grid will produce a multipath reflection effect when propagating between various conductive media such as metal pipes, busbars, parallel cables, etc. When the propagation delays of different paths are close and superimposed in the frequency domain at the receiving end, stable narrowband spectral ghost peaks are easily formed in some frequency bands. The characteristics of such interference are long-term increase in bit error rate but no burst failure. The traditional bit error rate or signal-to-noise ratio monitoring method cannot distinguish between transient interference and stability degradation, resulting in the terminal staying on the frequency point affected by the ghost interference, forming a communication self-healing failure.

[0085] For example, in a power distribution room, the busbar extends along the wall, and there are parallel power supply cables and metal pipelines nearby. When the HPLC signal encounters multiple path superposition, the echo delay difference is only on the order of several microseconds, and the potential ghost formation condition can be clearly identified by analyzing the echo characteristics. A light spectrum separation network is deployed on the concentrator side, and by comparing the multipath feature vectors reported by the terminal, the power spectral density (PSD) map of the high frequency band is reconstructed. The network uses a small neural network model or a multi-scale convolution filter to separate the multipath echo from the main direct signal and perform attribution analysis on the energy distribution of different frequency points, thereby identifying whether there is a stable spectral ghost peak. Unlike traditional bit error rate analysis, this method not only focuses on the overall bit error rate of the channel, but also judges the interference nature from the spectral energy form. Random distribution of spectral energy without obvious ghost peaks is transient interference, while persistent power peaks in a specific frequency band correspond to multipath ghosting, which is stable degradation. After identifying the stable ghost peak, the concentrator dynamically updates the multipath interference state of the terminal and writes it into the concentrator routing table to provide a basis for subsequent frequency hopping switching. In the case where there is a ghost interference in the current high-speed power carrier communication channel and the main path signal is damaged, the concentrator selects the optimal frequency band closest to the frequency of the main path signal but without ghost interference from the pre-set local available frequency set. In the selection process, the system will consider the spectral energy conditions and preferentially select candidate frequency bands in the stable interval of the spectral energy and away from the ghost peak; at the same time, it will consider the coordination of adjacent terminals to avoid secondary conflicts caused by high-density terminals switching to the same new frequency point; it will also consider link load balancing to reasonably allocate available frequency bands to different topological regions and optimize overall communication capacity. The frequency hopping operation is completed within the range of locally interfered terminals, without affecting other terminals without ghost interference, reducing the complexity of large-scale network frequency reconfiguration. Therefore, by jointly analyzing the echo attenuation characteristics and the multipath arrival time difference, without relying on traditional bit error rate accumulation statistics, the formation trend of spectral ghosting can be identified in advance, achieving higher detection sensitivity. By identifying the energy distribution pattern through the spectrum separation network, accidental noise and long-term stable degradation caused by multipath ghosting can be distinguished, avoiding the long-term retention of terminals on affected frequency points.The system does not rely on fixed frequency points or predefined priorities, but dynamically allocates the best available frequency band according to the real-time spectrum energy state, realizes the self-healing of the communication channel. In the high-density multi-terminal scene, by accurately positioning the multipath interference and performing distributed frequency hopping switching, the cumulative effect of signal distortion in the multi-hop forwarding link is effectively reduced. And it is especially suitable for use in building power distribution rooms, centralized junction boxes or metal environments. In these scenes with significant multipath reflection, it has higher robustness and recovery ability than the traditional HPLC frequency fixed strategy.

[0086] In some examples, further comprising:

[0087] In the process of switching to the strongest interference-free frequency band, the HRF backup relay path is established through the high-speed wireless communication channel to synchronize the transmission of key frame data during frequency hopping switching.

[0088] For example, in the case of detecting stable multipath ghost interference in the high-speed power carrier communication channel and determining the need to switch to a new optimal interference-free frequency band, the concentrator initiates a frequency point switching instruction at the same time. The terminal node with dual-mode communication capability activates its high-speed wireless communication module, and establishes a temporary backup relay path between adjacent terminals based on the HRF channel. The backup relay path is used to realize low-latency forwarding of key frame data during the transition of frequency point switching of the main link, so as to avoid communication interruption caused by frequency hopping switching. In this process, the concentrator side will maintain a key frame priority scheduling table, and by judging the importance level of the key frame in the application layer, the state synchronization package, the route update package and the high-priority control instruction are preferentially forwarded through the HRF relay link. At the same time, the system will perform lightweight traffic compression and rate adaptation strategy on the HRF link to ensure transmission efficiency under limited bandwidth conditions. After the frequency hopping switching of the HPLC channel is completed and the new frequency point link is confirmed to be stable, the HRF backup relay path is automatically released, and the network returns to the regular master-slave communication topology. By introducing the HRF backup relay link in the frequency hopping switching process, the frequency point switching with high reliability and seamless is realized, and the loss of key control data or synchronization signaling in the frequency point switching window is avoided, thereby improving the communication continuity and task execution stability of the entire system in a high-interference environment.

[0089] The above describes a communication method based on HPLC and HRF dual-mode fusion in the embodiments of the application. The following describes a communication system based on HPLC and HRF dual-mode fusion in the embodiments of the application.

[0090] Please refer to Figure 2 An embodiment of the communication system based on HPLC and HRF dual-mode fusion described in the embodiments of the application can include:

[0091] The construction unit 201 is configured to dynamically learn the electrical phase of each terminal through carrier coupling in a high-speed power carrier communication channel of a three-phase four-wire power grid, construct an electrical phase identification model, and record the communication characteristics of the phase line to which each terminal belongs.

[0092] The identification unit 202 is configured to identify the link isolation state between different phase lines in combination with the electrical phase communication spectrum generated by the concentrator side based on the phase information of each terminal.

[0093] The optimization unit 203 is configured to execute a preset cooperative packet optimization strategy in the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, and establish a cross-phase relay path through a high-speed wireless communication channel in the optimization process.

[0094] In summary, the communication system based on the HPLC and HRF dual-mode fusion provided in the above embodiment dynamically learns the electrical phase of each terminal through carrier coupling in a high-speed power carrier communication channel of a three-phase four-wire power grid, constructs an electrical phase identification model, and records the communication characteristics of the phase line to which each terminal belongs. In combination with the electrical phase communication spectrum generated by the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified. In the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet optimization strategy is executed, and a cross-phase relay path is established through a high-speed wireless communication channel in the optimization process. Thus, by dynamically learning the electrical phase characteristics of the terminal, the system can automatically update the configuration in the case where the power grid topology frequently changes, avoiding the problem that link scheduling fails due to the dependence on static parameters. The electrical phase communication spectrum analyzes the cross-phase link characteristics from a global perspective, can identify and mark high-impedance bottleneck paths in advance, and makes resource scheduling more targeted. The cross-phase relay path is established through the HRF channel, the problem of cross-phase high-frequency signal attenuation is solved from the physical layer, and the time slot utilization and link stability of the system are improved through cooperative packet optimization. The HPLC and HRF cooperate in parallel, which not only utilizes the coverage advantage of power line communication, but also relies on the anti-isolation capability of the wireless channel to achieve more efficient resource integration and link robustness.

[0095] The above Figure 2 The communication system based on the HPLC and HRF dual-mode fusion in the embodiments of the present application is described from the perspective of modular functional entities, and the communication system based on the HPLC and HRF dual-mode fusion in the embodiments of the present application is described in detail from the perspective of hardware processing. Please refer to Figure 3 The communication system based on the HPLC and HRF dual-mode fusion in the embodiments of the present application 300 includes:

[0096] The input device 301, the output device 302, the processor 303, and the memory 304, wherein the number of the processor 303 can be one or more, Figure 3The processor 303 is taken as an example. In some embodiments of the present application, the input device 301, the output device 302, the processor 303 and the memory 304 can be connected through a bus or other means, wherein, Figure 3 The bus connection is taken as an example.

[0097] The processor 303 is configured to execute the following steps by calling the operation instructions stored in the memory 304:

[0098] In the high-speed power carrier communication channel of the three-phase four-wire power grid, the power phase in which each terminal is located is learned dynamically through carrier coupling, an electrical phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded;

[0099] In combination with the electrical phase communication atlas generated by the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified;

[0100] In a case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a heterogeneous phase relay path is established through a high-speed wireless communication channel.

[0101] The processor 303 is further configured to execute the following steps by calling the operation instructions stored in the memory 304: Figure 1 Any of the manners in the corresponding embodiments.

[0102] Please refer to Figure 4 , Figure 4 The embodiment of the electronic device provided in the present application is shown in the embodiment schematic diagram of the electronic device.

[0103] As Figure 4 shown, the present application provides an electronic device, which includes a memory 304, a processor 303 and a computer program 411 stored in the memory 304 and executable on the processor 303, and the processor 303 implements the following steps when executing the computer program 411:

[0104] In the high-speed power carrier communication channel of the three-phase four-wire power grid, the power phase in which each terminal is located is learned dynamically through carrier coupling, an electrical phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded;

[0105] In combination with the electrical phase communication atlas generated by the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified;

[0106] In a case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a heterogeneous phase relay path is established through a high-speed wireless communication channel.

[0107] In the implementation process, the processor 303 can implement the following steps when executing the computer program 411 Figure 1 Any embodiment of the corresponding embodiments.

[0108] Since the electronic device introduced in the embodiment is the device used to implement the communication system based on the HPLC and HRF dual-mode fusion in the embodiment of the application, the specific implementation of the electronic device and various changes thereof can be understood by those skilled in the art based on the method introduced in the embodiment of the application. Therefore, how the electronic device implements the method in the embodiment of the application is not described in detail here, as long as the device used by those skilled in the art to implement the method in the embodiment of the application belongs to the scope of protection of the application.

[0109] Please refer to Figure 5 , Figure 5 An embodiment of a computer readable storage medium provided in the embodiment of the application is shown in the figure.

[0110] As Figure 5 shown, the embodiment provides a computer readable storage medium 500, which stores a computer program 511, and the computer program 511 is executed by a processor to implement the following steps:

[0111] The short-term fluctuation trend of the communication error rate of the high-speed power carrier communication channel in the past N periods is recorded by a channel disturbance memory function at the link layer of the high-speed power carrier communication channel;

[0112] In combination with a disturbance spectrum identification model, the degradation state of the current high-speed power carrier communication channel is identified;

[0113] In a case where it is determined that the high-speed power carrier communication channel is in a degradation state, a preset spectrum parameter rollback strategy is executed, and in the spectrum parameter rollback process, a heterogeneous relay path is established through a high-speed wireless communication channel to transmit the key data to be confirmed.

[0114] By calling the operation instructions stored in the memory 304, the processor 303 is further configured to execute Figure 1 Any embodiment of the corresponding embodiments.

[0115] The embodiments of the present application provide a computer program product, which comprises one or more computer instructions. When the computer instructions are loaded and executed on a computer, the computer instructions produce, wholly or partially, the flow or function described in the embodiments of the present application. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through a wired (for example, coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (for example, infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that can be stored by the computer or a data storage device such as a server, data center, etc. integrated with one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)), etc.

[0116] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0117] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. In actual implementation, another division mode can be used. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0118] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiments of the present application.

[0119] In addition, each of the functional units in the various embodiments 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.

[0120] When the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such an understanding, the technical solutions of the present application, essentially or in part, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods according to the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and various other media that can store program codes.

[0121] The above-described embodiments are merely used to illustrate the technical solutions of the present application, rather than limit the technical solutions thereof; even though the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still make modifications to the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some of the technical features thereof; and these modifications or replacements do not cause the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A communication method based on HPLC and HRF dual-mode fusion, characterized in that, The application relates to a method for optimizing a high-speed power carrier communication channel in a three-phase four-wire power grid. In the high-speed power carrier communication channel of the three-phase four-wire power grid, the power carrier coupling success rate of each terminal is dynamically learned to construct an electric phase identification model and record the communication characteristics of the phase line to which each terminal belongs; In combination with the electric phase communication atlas generated by the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified; In the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet optimization strategy is executed, and in the optimization process, a cross-phase relay path is established through a high-speed wireless communication channel; In the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet optimization strategy is executed, and in the optimization process, a cross-phase relay path is established through a high-speed wireless communication channel, including: In the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, the concentrator preferentially utilizes the high-speed wireless communication channel to forward data across the phase in the routing scheduling, and utilizes the high-speed power carrier communication channel to aggregate within the phase, so as to construct a hybrid load optimal balance; Further comprising: A terminal gene identification parameter is added to the HRF protocol frame of the high-speed wireless communication channel, so as to construct a terminal identity feature vector based on a frequency phase fingerprint and a hardware spur characteristic; A local signal signature library is constructed on the concentrator side, abnormal pseudo-packets emitted by a non-expected terminal in the current link are identified by comparing the source characteristics of the received HRF data packet with the terminal identity feature vector; In the case where the communication reliability of the link is reduced due to abnormal pseudo-packet interference, the frequency energy distribution is calculated according to the spectrum characteristic of the interference source, and a high-power interference source subband is located; In the available high-frequency channel set, the farthest alternative frequency point from the interference source subband is dynamically selected, so as to locally switch the high-speed wireless communication channel to the alternative frequency point within a preset terminal range.

2. The method of claim 1, wherein, In the high-speed power carrier communication channel of the three-phase four-wire power grid, the power carrier coupling success rate of each terminal is dynamically learned to construct an electric phase identification model and record the communication characteristics of the phase line to which each terminal belongs, including: In the high-speed power carrier communication channel of the three-phase four-wire power grid, each terminal based on the accessed high-speed power carrier communication channel continuously detects the carrier coupling success rate under multiple modulation frequency points and multiple frame periods; Based on the success rate distribution under different frequency points, the amplitude fluctuation characteristics in adjacent periods and the mutual interference mode of the cross-terminal link, multi-dimensional feature parameters related to the electric phase of the terminal are extracted; The multi-dimensional feature parameters are input into the electric phase identification model for clustering learning, so as to generate the electric phase label corresponding to each terminal and form the phase line feature vector of each terminal.

3. The method of claim 1, wherein, Further comprising: In the high-speed power carrier communication channel of the three-phase four-wire power grid, the echo attenuation characteristics of different frequency bands are collected in real time through the link layer, and a local multipath feature vector of the terminal is constructed based on the multipath echo time difference; Through the lightweight spectrum separation network deployed on the concentrator side, whether there is a stable ghost peak in the communication signal is identified based on the multipath feature vector, and the multipath interference state of the terminal is dynamically updated. In a case where the ghost peak is determined to exist in the high-speed power carrier communication channel and affect the stability of the main path signal, a strongest interference-free frequency band corresponding to the main path signal is dynamically selected from a set of local available frequency points for frequency hopping switching.

4. The method of claim 3, wherein, Also included are: During the switching to the strongest interference-free frequency band, an HRF backup relay path is established through the high-speed wireless communication channel to synchronously transmit key frame data during the frequency hopping switching.

5. A communication system based on HPLC and HRF dual mode fusion, characterized by, The system comprises the method of any one of claims 1 to 4: A construction unit is configured to learn the electrical phase of each terminal through carrier coupling in the high-speed power carrier communication channel of a three-phase four-wire power grid, construct an electrical phase identification model, and record the communication characteristics of the phase line to which each terminal belongs; An identification unit is configured to identify the link isolation state between different phase lines in combination with the electrical phase communication map generated by the concentrator side based on the phase information of each terminal; An optimization unit is configured to execute a preset coordinated packet sending optimization strategy in a case where the link isolation state is determined to exist a cross-phase communication bottleneck, and establish a different-phase relay path through the high-speed wireless communication channel during the optimization process.

6. An electronic device, comprising: The electronic device includes at least one processor and at least one memory connected to the processor, wherein the processor is configured to invoke program instructions in the memory to execute the communication method based on the HPLC and HRF dual-mode fusion according to any one of claims 1 to 4.

7. A storage medium, characterized by The storage medium includes a stored program, wherein the program controls the device where the storage medium is located to execute the communication method based on the HPLC and HRF dual-mode fusion according to any one of claims 1 to 4 when the program is running.

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