Communication method and system based on dual-mode fusion of HPLC and HRF

Abstract

The invention provides a communication method and system based on HPLC and HRF dual-mode fusion, belongs to the field of power line carrier communication, and solves the problem that the communication performance is still insufficient in a three-phase four-wire system low-voltage power grid environment. The method comprises the following steps: in a high-speed power line carrier communication channel of a three-phase four-wire system power grid, dynamically learning an electric phase of each terminal through a carrier coupling success rate, constructing an electric phase identification model, and recording communication characteristics of a phase line to which each terminal belongs; identifying link isolation states among different phase lines by combining an electric phase communication map generated on the concentrator side based on the phase information of each terminal; and under the condition of determining that a cross-phase communication bottleneck exists based on the link isolation state, executing a preset collaborative packet sending optimization strategy, and in the optimization process, establishing an out-phase relay path through a high-speed wireless communication channel.

Description

Technical Field

[0001] This application relates to the field of power line carrier communication technology, and in particular to a communication method and system based on the fusion of HPLC and HRF dual modes. Background Technology

[0002] HPLC (High-speed Power Line Communication) offers high transmission rates, typically reaching frequencies of 30MHz, and can utilize power lines (such as 220V) for data communication without additional wiring. HRF (High-speed Radio Frequency) usually employs the Sub-GHz band, possessing good wall penetration and long-distance transmission characteristics, strong anti-interference capabilities, and is suitable as a supplementary path for unstable signals or poor PLC channel quality. A dual-mode communication architecture combines the network deployment convenience of power line communication with the flexible coverage of wireless communication, making it suitable for low-voltage power distribution communication scenarios in smart grids. However, its communication performance remains insufficient in three-phase four-wire low-voltage power grid environments. Summary of the Invention

[0003] This application provides a communication method and system based on the fusion of HPLC and HRF dual modes, which can solve the problem of insufficient communication performance in a three-phase four-wire low-voltage power grid environment.

[0004] The first aspect of this application provides a communication method based on the fusion of HPLC and HRF dual modes, including: In the high-speed power line carrier communication channel of a three-phase four-wire power grid, the phase of each terminal is dynamically learned by the carrier coupling success rate, a phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded. By combining the electrical phase communication map generated by the concentrator based on the phase information of each terminal, the link isolation status between different phase lines can be identified. If a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an out-of-phase relay path is established through a high-speed wireless communication channel.

[0005] Optionally, in the high-speed power line carrier communication channel of a three-phase four-wire power grid, the method of dynamically learning the phase of each terminal based on the carrier coupling success rate, constructing a phase identification model, and recording the communication characteristics of the phase line to which each terminal belongs includes: In the high-speed power line carrier communication channel of a three-phase four-wire power grid, each terminal is controlled to continuously detect the carrier coupling success rate under multiple modulation frequency points and multiple frame periods based on the accessed high-speed power line carrier communication channel. Based on the success rate distribution at different frequency points, the amplitude fluctuation characteristics within adjacent cycles, and the mutual interference modes of cross-terminal links, multi-dimensional feature parameters related to the terminal and electrical phase are extracted. The multidimensional feature parameters are input into the electrical phase recognition model for cluster learning to generate electrical phase labels corresponding to each terminal, thereby forming the phase line feature vector of each terminal.

[0006] Optionally, the step of executing a preset cooperative packet sending optimization strategy when a cross-phase communication bottleneck is determined based on the link isolation status, and establishing an out-of-phase relay path through a high-speed wireless communication channel during the optimization process, includes: When a cross-phase communication bottleneck is determined based on the link isolation status, the concentrator prioritizes using high-speed wireless communication channels to forward data across phases during routing scheduling, and uses high-speed power line carrier communication channels within a phase for aggregation, in order to construct an optimal balance for hybrid loads.

[0007] Optionally, it also includes: Terminal gene identification parameters are added to the HRF protocol frames of high-speed wireless communication channels to construct terminal identity feature vectors based on frequency phase fingerprints and hardware spurious features; A local signal signature library is built on the concentrator side. By comparing the source characteristics of the received HRF data packets with the terminal identity feature vector, abnormal fake packets sent by unexpected terminal sources in the current link can be identified. When abnormal fake packet interference causes a decrease in the reliability of link communication, a preset local micro-frequency hopping strategy is executed. During the local micro-frequency hopping process, the modulation parameters are dynamically adjusted based on the spectral characteristics of the interference source to avoid the interference band.

[0008] Optionally, the step of executing a preset local micro-frequency hopping strategy when abnormal pseudo-packet interference causes a decrease in link communication reliability, and dynamically adjusting modulation parameters based on the spectral characteristics of the interference source to avoid interference bands during the local micro-frequency hopping process, includes: In the event that abnormal fake packet interference causes a decrease in the reliability of link communication, the frequency domain energy distribution is calculated based on the spectral characteristics of the interference source to locate the high-power interference source subband. The candidate frequency point farthest from the interference source subband is dynamically selected from the available high-frequency channel set, so as to perform local frequency hopping switching of the high-speed wireless communication channel to the candidate frequency point within the preset terminal range.

[0009] Optional, also includes: In the high-speed power line carrier communication channel of a 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 multipath echo arrival time difference. A lightweight spectrum separation network deployed on the concentrator side is used to identify whether there are stable ghosting peaks in the communication signal based on the multipath feature vector, and to dynamically update the multipath interference status of the terminal. If, based on the ghosting peak, it is determined that there is ghosting interference in the high-speed power line carrier communication channel and that 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 set of locally available frequency points for frequency hopping switching.

[0010] Optional, also includes: During the switching to the strongest interference-free frequency band, an HRF backup relay path is established through a high-speed wireless communication channel to synchronously transmit key frame data during frequency hopping.

[0011] The second aspect of this application provides a communication system based on the fusion of HPLC and HRF dual modes, comprising: The construction unit is used to dynamically learn the electrical phase of each terminal in the high-speed power line carrier communication channel of a three-phase four-wire power grid by means of carrier coupling success rate, construct an electrical phase identification model and record the communication characteristics of the phase line to which each terminal belongs; The identification unit is used to identify the link isolation status between different phase lines by combining the electrical phase communication spectrum generated by the concentrator side based on the phase information of each terminal. The optimization unit is used to execute a preset collaborative packet sending optimization strategy when it is determined that there is a cross-phase communication bottleneck based on the link isolation status, and to establish an out-of-phase relay path through a high-speed wireless communication channel during the optimization process.

[0012] A third aspect of this application provides an electronic device, including a memory and a processor, wherein the processor is used to execute a computer program stored in the memory to implement the steps of the above-described communication method based on HPLC and HRF dual-mode fusion.

[0013] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described communication method based on HPLC and HRF dual-mode fusion.

[0014] In a three-phase four-wire low-voltage power grid environment, power line carrier communication transmits data based on the physical topology of the power grid phase lines. However, electrical isolation between different phase lines leads to a significant decrease in cross-phase communication performance. While traditional solutions can introduce high-speed wireless communication channels as a supplement, the lack of collaborative modeling of phase information results in insufficient efficiency in link scheduling and relay deployment for multi-phase terminal nodes. In summary, the communication method based on HPLC and HRF dual-mode fusion provided in this application dynamically learns the phase of each terminal in a three-phase four-wire power line carrier communication channel by using carrier coupling success rate, constructs a phase identification model, and records the communication characteristics of the phase line to which each terminal belongs. Combined with the phase communication map generated by the concentrator side based on the phase information of each terminal, the link isolation status between different phase lines is identified. When a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an inter-phase relay path is established through the high-speed wireless communication channel. Therefore, by dynamically learning the phase characteristics of the terminals, the system can automatically update its configuration when the power grid topology changes frequently, avoiding the problem of link scheduling relying on static parameters. Power line communication mapping (PLC) provides a global perspective for analyzing cross-phase link characteristics, enabling early identification and marking of high-impedance bottleneck paths, thus allowing for more targeted resource scheduling. Establishing heterogeneous relay paths via HRF channels addresses the physical layer's problem of high-frequency signal attenuation across phases, and optimizing time slot utilization and link stability through coordinated packet transmission. Parallel collaboration between HPLC and HRF leverages both the coverage advantages of power line communication and the anti-isolation capabilities of wireless channels, achieving more efficient resource integration and link robustness.

[0015] Correspondingly, the systems, electronic devices, and computer-readable storage media provided in the embodiments of the present invention also have the above-mentioned technical effects. Attached Figure Description

[0016] Figure 1 A schematic flowchart illustrating a possible communication method based on the fusion of HPLC and HRF modes, provided for an embodiment of this application; Figure 2 A schematic block diagram of a possible communication system based on the fusion of HPLC and HRF, provided for embodiments of this application; Figure 3 A schematic diagram of the hardware structure of a possible communication system based on the fusion of HPLC and HRF, provided for an embodiment of this application; Figure 4 A schematic structural block diagram of a possible electronic device provided in an embodiment of this application; Figure 5 This is a schematic structural block diagram of a possible computer-readable storage medium provided for embodiments of this application. Detailed Implementation

[0017] This application provides a communication method and related equipment based on the fusion of HPLC and HRF dual modes, which can solve the problem of insufficient communication performance in a three-phase four-wire low-voltage power grid environment.

[0018] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The technical solutions of the embodiments of this application will now be clearly and completely described in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them.

[0019] Please see Figure 1 The flowchart below illustrates a communication method based on the fusion of HPLC and HRF modes, as provided in this application embodiment. Specifically, it may include: S110-S130.

[0020] S110, in the high-speed power line carrier communication channel of a three-phase four-wire power grid, dynamically learns the phase of each terminal by the success rate of carrier coupling, constructs a phase identification model, and records the communication characteristics of the phase line to which each terminal belongs.

[0021] S120, combined with the electrical phase communication map generated by the concentrator side based on the phase information of each terminal, identifies the link isolation status between different phase lines.

[0022] S130, if a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an out-of-phase relay path is established through a high-speed wireless communication channel.

[0023] Understandably, in a three-phase four-wire low-voltage power grid environment, high-speed power line carrier communication (HPLC) utilizes existing power lines as the transmission medium, effectively reducing wiring costs and achieving wide-area coverage. However, due to the structural characteristics of a three-phase four-wire power grid, electrical isolation exists between different phases. During cross-phase communication, the signal must pass through transformer windings or inductor paths, resulting in significant attenuation, reflection, and distortion of the high-frequency carrier during cross-phase propagation, leading to decreased communication throughput and link instability. Traditional methods attempt to supplement the shortcomings of HPLC by introducing high-speed wireless channels (HRF), but lack dynamic identification of terminal phase information and collaborative modeling of link status, resulting in blind deployment of cross-phase relays 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 map at the concentrator side to identify the link isolation status, and establishing an out-of-phase relay path using a high-speed wireless channel after the cross-phase communication bottleneck is identified, a deep integration of HPLC and HRF is achieved, improving the reliability of cross-phase links and overall system performance.

[0024] For example, terminal phase identification and modeling based on carrier coupling success rate can be implemented in a high-speed power line carrier communication channel of a three-phase four-wire power grid. Each terminal can be controlled to periodically detect the carrier coupling success rate at multiple modulation frequencies and multiple frame periods, and the detection results can be combined to construct a corresponding signal feature vector. Specifically, the terminal's HPLC module polls different modulation frequencies in the high-frequency band from 0.7MHz to 12MHz, and measures the returned signal-to-noise ratio, bit error rate, power loss, and spectral response curve by sending low-power probe signals, thereby characterizing the coupling characteristics of the terminal on a specific phase line. All terminals report the feature data to a concentrator, which uses machine learning models, such as SVM classifiers or K-means clusterers, to train the phase identification model, achieving high-precision identification and updating of the phase attribution for each terminal. When changes in the power grid topology, such as the addition of new users or load migration causing changes in phase line characteristics, the terminal triggers real-time relearning to avoid identification errors caused by relying on fixed configurations. For example, in a residential community, terminals T1 and T2 are connected to phase A, while T3 is connected to phase B. The coupling loss of T3 near 20MHz is more than 10dB higher than that of T1 and T2. Based on this, the model accurately determines that T3 belongs to phase B, avoiding incorrect assignment to the phase A broadcast group. This step achieves dynamic adaptive identification of terminal phase lines, avoiding the lag of traditional fixed-phase configurations. The phase identification accuracy can be improved to over 95%, providing reliable data support for subsequent cross-phase optimization.

[0025] For example, link isolation status can be identified based on the phase communication map on the concentrator side. After completing the terminal phase identification, the concentrator generates a phase communication map based on the phase line information, communication link status, and end-to-end interaction performance indicators of each terminal, and identifies the cross-phase link isolation status accordingly. Specifically, the concentrator collects real-time quality parameters of all inter-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 conjunction with the phase category of the terminal. Based on this, the concentrator generates a multi-dimensional communication map by calculating the performance differences between links within each phase line and cross-phase links, characterizing the in-phase communication quality and cross-phase transmission bottlenecks. For example, in a residential community, the average link attenuation from phase A to phase B reaches 45dB, while that from phase A to phase C is only 15dB. The concentrator will mark the AB path as a severely isolated link and the AC path as a weakly isolated link. Therefore, through graph-based global link state modeling, the concentrator can discover cross-phase bottleneck locations in real time, avoid blindly scheduling resources, and provide quantifiable decision-making basis for subsequent cross-phase relay optimization, thereby significantly improving the accuracy of cross-phase link state identification and reducing the retransmission rate of invalid cross-phase data.

[0026] For example, cross-phase communication bottleneck detection and collaborative packet sending optimization can be performed. When a cross-phase communication bottleneck is identified based on the electrical phase communication spectrum, the concentrator initiates a preset collaborative packet sending optimization strategy, fully utilizing the dual-channel collaboration of HPLC and HRF to achieve dynamic optimization of the cross-phase relay path. Specifically, the concentrator first screens all candidate in-phase terminals at both ends of the cross-phase link, comprehensively considering multi-dimensional indicators such as HPLC link quality, HRF signal strength, and energy consumption to select the optimal relay node. Subsequently, by establishing a heterogeneous relay path in a high-speed wireless communication channel such as the 470MHz-510MHz, 2.4GHz, or Sub-GHz bands, the cross-phase data is efficiently forwarded to the target terminal via the relay terminal's HRF link. Simultaneously, time-slot-level synchronization is achieved between the HPLC and HRF channels to avoid conflicts and redundant transmissions. For example, in cell C, the packet loss rate of the HPLC link between T5 (phase A) and T8 (phase C) is as high as 60%. The concentrator selects T6 (located in phase B and at the AC junction) as the optimal relay, and establishes a stable, low-latency cross-phase data channel between phase A and phase C through the HRF link of T6. This significantly improves cross-phase communication performance, reduces cross-phase link latency, increases overall system throughput, and improves relay resource utilization, achieving highly reliable, low-latency, and low-power communication between multi-phase terminals.

[0027] The communication method based on HPLC and HRF dual-mode fusion provided in this application dynamically learns the phase of each terminal in a high-speed power line carrier communication channel of a three-phase four-wire power grid by using carrier coupling success rate, constructs a phase identification model, and records the communication characteristics of the phase line to which each terminal belongs. Combined with the phase communication map generated by the concentrator side based on the phase information of each terminal, the link isolation status between different phase lines is identified. When a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an out-of-phase relay path is established through the high-speed wireless communication channel. Thus, by dynamically learning the phase characteristics of the terminals, the system can automatically update its configuration when the power grid topology changes frequently, avoiding the problem of link scheduling relying on static parameters. The phase communication map analyzes the characteristics of cross-phase links from a global perspective, enabling early identification and marking of high-impedance bottleneck paths, making resource scheduling more targeted. Establishing an out-of-phase relay path through the HRF channel solves the problem of cross-phase high-frequency signal attenuation at the physical layer, and the time slot utilization and link stability of the system are improved through collaborative packet sending optimization. HPLC and HRF work in parallel, leveraging the coverage advantage of power line communication and the anti-isolation capability of wireless channels to achieve more efficient resource integration and link robustness.

[0028] In some examples, the high-speed power line carrier communication channel in a three-phase four-wire power grid, which dynamically learns the phase of each terminal based on the carrier coupling success rate, constructs a phase identification model, and records the communication characteristics of the phase line to which each terminal belongs, includes: In the high-speed power line carrier communication channel of a three-phase four-wire power grid, each terminal is controlled to continuously detect the carrier coupling success rate under multiple modulation frequency points and multiple frame periods based on the accessed high-speed power line carrier communication channel. Based on the success rate distribution at different frequency points, the amplitude fluctuation characteristics within adjacent cycles, and the mutual interference modes of cross-terminal links, multi-dimensional feature parameters related to the terminal and electrical phase are extracted. The multidimensional feature parameters are input into the electrical phase recognition model for cluster learning to generate electrical phase labels corresponding to each terminal, thereby forming the phase line feature vector of each terminal.

[0029] For example, in a high-speed power line carrier communication channel of a 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 line carrier communication channel. Specifically, the terminal obtains the power attenuation and communication link reliability at different frequencies by observing the energy injection and feedback response of high-frequency signals on each phase line. Through continuous observation over multiple periods, the dynamic changes in coupling characteristics over different time periods can be captured, including the effects of periodic load disturbances, transient arc interference, or high-frequency impedance fluctuations in low-voltage networks. Since there are significant differences in the high-frequency impedance characteristics, phase delay, and electromagnetic coupling paths of different phases, multi-frequency and multi-period detection can obtain the actual coupling mode of the terminal on each phase line. By dynamically acquiring real-time power response data, the identification error caused by static configuration failure is avoided, fundamentally improving the accuracy of phase assignment determination.

[0030] For example, multi-dimensional feature parameters related to the terminal and electrical phase can be extracted based on the success rate distribution at different frequency points, amplitude fluctuation characteristics within adjacent periods, and mutual interference patterns across terminal links. These parameters include not only the power response and phase information of a single terminal but also the cross-correlation characteristics between multiple terminals. For instance, when adjacent terminals simultaneously inject high-frequency signals, their channel cross-interference can be analyzed to capture the energy leakage characteristics of different electrical phases under spatial distribution. By fusing high-dimensional signal features such as power statistics, phase offset curves, spectral energy concentration, and cross-link interference index, phase line differences can be distinguished more accurately. Compared with traditional methods based on a single signal energy threshold, this step utilizes multi-dimensional joint features to more robustly distinguish between in-phase and out-of-phase terminals. It maintains high robustness even under conditions of sudden changes in grid load, increased background noise, or complex inter-phase coupling, ensuring the consistency and reliability of electrical phase identification in dynamic environments.

[0031] For example, the multidimensional feature parameters can be input into the phase identification model for clustering learning to generate phase labels corresponding to each terminal, thus forming phase line feature vectors for each terminal. The phase identification model can be based on an improved clustering algorithm, such as a combination of hierarchical clustering and Gaussian mixture modeling, to automatically form category boundaries based on feature distribution within an unsupervised learning framework. After grouping the terminals using the clustering results, each terminal obtains a unique phase label and generates a phase line feature vector. This vector records the terminal's statistical characteristics across multiple modulation frequencies, cross-cycle amplitude fluctuations, and interference from adjacent links. This dynamic clustering learning mechanism enables the terminal phase labels to be updated in real time as the power grid physical environment changes, without relying on manual calibration or fixed topology configuration. When the power grid experiences large-scale load access, line switching, or distributed power source access, the model can automatically identify phase migration, thereby maintaining the continuity and accuracy of subsequent communication link scheduling and cross-phase optimization strategies.

[0032] Understandably, by using multi-frequency, multi-cycle, and multi-dimensional feature joint modeling, the problem of traditional single-point energy detection failing in dynamic environments can be overcome; even in complex scenarios such as load switching, harmonic interference, or high-frequency signal attenuation, the terminal electrical phase can still be stably identified; the phase line feature vector of the terminal provides an accurate basis for the construction of the electrical phase communication map, making cross-phase bottleneck identification and collaborative packet sending strategies more efficient.

[0033] In some examples, the step of executing a preset cooperative packet sending optimization strategy when a cross-phase communication bottleneck is determined based on the link isolation status, and establishing an out-of-phase relay path through a high-speed wireless communication channel during the optimization process, includes: When a cross-phase communication bottleneck is determined based on the link isolation status, the concentrator prioritizes using high-speed wireless communication channels to forward data across phases during routing scheduling, and uses high-speed power line carrier communication channels within a phase for aggregation, in order to construct an optimal balance for hybrid loads.

[0034] For example, when a cross-phase communication bottleneck is determined based on the link isolation status, the concentrator first analyzes the cross-phase link quality indicators reflected by the electrical phase communication map, including the success rate of cross-phase data packet forwarding, delay distribution, and link interference. By modeling the link states 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, avoiding direct data forwarding through damaged links. This step, by accurately identifying the cross-phase bottleneck location, avoids the high packet loss and delay accumulation problems caused by blindly relying on cross-phase forwarding in complex electrical environments, providing precise optimization constraints for subsequent hybrid routing scheduling strategies.

[0035] For example, after identifying cross-phase bottlenecks, the concentrator can be controlled to prioritize the use of high-speed wireless communication channels for cross-phase data forwarding during routing scheduling. Specifically, a temporary relay path is established through the high-speed wireless communication channel between terminals, allowing high-priority data that would otherwise require cross-phase transmission to bypass high-interference or high-obstruction sections in the power line. The relay strategy can be dynamically adjusted based on the physical location of the terminals, the phase tag, and the available wireless bandwidth to ensure that cross-phase data can be reliably forwarded with low interference and low latency. Thus, by introducing high-speed wireless relays outside the physical layer of the power grid, the energy attenuation and coupling losses caused by electrical isolation during cross-phase communication are significantly reduced, breaking through the bottleneck of traditional single-channel carrier cross-phase transmission and improving the overall system's data accessibility and stability.

[0036] For example, while cross-phase data is forwarded via high-speed wireless relays, the concentrator performs data aggregation within the same phase using a high-speed power line carrier communication channel. Specifically, for terminal nodes within the same phase line, the concentrator uses a dynamic routing mechanism to integrate multiple data streams within the phase before they enter the wireless cross-phase relay node, and prioritizes scheduling low-interference, low-load intra-phase links for uplink transmission. Combined with the aggregated traffic model, the concentrator can allocate bandwidth and scheduling priorities based on real-time load conditions, avoiding communication bottlenecks caused by duplicate use of cross-phase relay resources. Thus, through the hybrid collaborative scheduling of high-speed power line carrier channels and high-speed wireless relays, this step achieves efficient aggregation and reasonable traffic distribution within the phase, reducing cross-phase routing pressure and improving overall system load balance and link utilization.

[0037] Understandably, through a collaborative packet-sending optimization strategy on the concentrator side, the reliability and efficiency of cross-phase communication in a three-phase four-wire low-voltage power grid environment are significantly improved within the framework of dual-mode fusion of power line carrier communication (HPLC) and high-speed wireless communication (HRF). When traditional power line carrier paths are blocked, high-speed wireless relays are used to bypass cross-phase links, avoiding data interruptions caused by physical obstructions. By combining phase communication maps, cross-phase bottleneck identification, and intra-phase load modeling, collaborative optimization of cross-phase and intra-phase links is achieved. Furthermore, even under conditions of large-scale terminal access, frequent topology changes, or local power grid failures, the system can still maintain high reliability and low-latency communication performance.

[0038] It is understandable that when multiple dual-mode terminals, such as multiple electricity meters, are deployed in a building / transformer area, the HRF modules may use the same frequency band and lack coordination, which may cause the HRF response frame of one terminal to be incorrectly parsed or blocked by a neighboring terminal, resulting in packet escape or self-loop. The system appears normal, but the data is disordered, which is especially serious in multi-hop / multicast situations.

[0039] To address the above issues, some examples also include: Terminal gene identification parameters are added to the HRF protocol frames of high-speed wireless communication channels to construct terminal identity feature vectors based on frequency phase fingerprints and hardware spurious features; A local signal signature library is built on the concentrator side. By comparing the source characteristics of the received HRF data packets with the terminal identity feature vector, abnormal fake packets sent by unexpected terminal sources in the current link can be identified. When abnormal fake packet interference causes a decrease in the reliability of link communication, a preset local micro-frequency hopping strategy is executed. During the local micro-frequency hopping process, the modulation parameters are dynamically adjusted based on the spectral characteristics of the interference source to avoid the interference band.

[0040] For example, in the HRF protocol frame of a high-speed wireless communication channel, a unique terminal genetic identifier parameter is generated and embedded for each terminal. This parameter is not a static ID, but is dynamically generated by combining the terminal's frequency phase fingerprint, spurious features in the hardware RF link, and RF modulation noise characteristics to form a terminal identity feature vector with physical unclonability. By writing this parameter into the identifier field of the HRF protocol frame, the concentrator can directly identify the true identity of each terminal at the data packet level, thereby effectively preventing response conflicts and confusing parsing caused by multiple terminals sharing the same frequency band. By constructing a unique identifier based on frequency phase fingerprint and hardware spurious features, the reliability of terminal identity authentication is improved, avoiding response misjudgment and data packet redirection problems caused by shared frequency bands under physical layer noise conditions, and providing a reliable feature basis for subsequent anomaly detection and relay optimization.

[0041] For example, the concentrator can build a local signal signature library offline based on the genetic identifier parameters of each terminal. This signal signature library records the identity feature vector, frequency domain feature spectrum, and time domain signal trajectory of each terminal. When the concentrator receives an HRF data packet, it quickly matches the frequency phase characteristics and spurious spectrum distribution of the data packet source with the terminal identity feature vector in the signal signature library to identify whether there are abnormal fake packets sent by unexpected terminal sources. For example, when a response frame from terminal A is incorrectly parsed and forwarded by terminal B, its genetic identifier is inconsistent with the actual source characteristics, and the concentrator can determine it as a fake packet and mark or discard it. By comparing the signal signature library with the terminal identity features, misparsing, misforwarding, and link loop phenomena can be directly identified at the communication link layer, effectively avoiding high packet error rates and redundant routing conflicts that occur when multiple terminals share a frequency band, and ensuring the determinism and consistency of cross-terminal communication processes.

[0042] For example, when abnormal fake packet interference is detected, causing 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 wide range of frequency bands. Instead, it calculates the frequency domain energy distribution based on the spectral characteristics of the interference source to accurately locate the sub-band position of the high-power interference source. Based on this, the concentrator dynamically selects the candidate frequency point with the largest distance from the interference sub-band and controls the affected terminal to complete the frequency switching of the HRF channel within a small range. At the same time, during the micro-frequency hopping process, the system also synchronously adjusts modulation features such as modulation depth and phase rotation parameters to ensure that the new frequency point avoids the main lobe and side lobes of the interference band, maximizing the robustness of data packet parsing. 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, avoiding the synchronization reconstruction overhead caused by global large-scale frequency hopping, and reducing the cumulative effect of multi-hop packet loss caused by fake packet interference.

[0043] Understandably, this scheme, within the HPLC and HRF dual-mode fusion communication framework, utilizes physical layer hardware differences to construct terminal genetic identifiers, effectively resolving the error parsing problem when multiple terminals share a frequency band. Furthermore, it achieves link-layer source authentication through a signal signature library on the concentrator side, fundamentally suppressing packet escape, self-loops, and redundant relays. Moreover, based on the local micro-frequency hopping strategy using the spectral characteristics of interference sources, it maintains link stability and reduces the burden of synchronization reconstruction in interference environments. Especially in multi-level topologies within a distribution area, it avoids the problem of conflict accumulation during high-concurrency multicast, enhancing end-to-end scalability and determinism.

[0044] In some examples, the step of executing a preset local micro-frequency hopping strategy when abnormal pseudo-packet interference causes a decrease in link communication reliability, and dynamically adjusting modulation parameters based on the spectral characteristics of the interference source to avoid interference bands during the local micro-frequency hopping process, includes: In the event that abnormal fake packet interference causes a decrease in the reliability of link communication, the frequency domain energy distribution is calculated based on the spectral characteristics of the interference source to locate the high-power interference source subband. The candidate frequency point farthest from the interference source subband is dynamically selected from the available high-frequency channel set, so as to perform local frequency hopping switching of the high-speed wireless communication channel to the candidate frequency point within the preset terminal range.

[0045] For example, in a high-speed wireless communication channel, when a decrease in link communication reliability is detected, such as an increase in the false packet rate or a surge in retransmissions, the power spectrum of the current communication channel is first sampled in real time using a spectrum analysis module. By comparing the normal power distribution with the peak power distribution under abnormal conditions, the characteristic information of the interference source is extracted, including the peak interference power, frequency center location, bandwidth, and noise floor threshold. The key to this step is to capture the specific distribution pattern of interference energy in the frequency domain, thereby providing a basis for subsequent interference source sub-band localization. For example, when 16 dual-mode terminals are deployed in the same building, the HRF transmission module of one of the terminals generates a high-power spurious wave near 486.5 MHz due to hardware detuning. Through power spectrum estimation, the system can identify the frequency range corresponding to this spurious wave as 486.2–486.8 MHz and mark this interval as a potential interference sub-band. Based on the extracted interference characteristics, the power spectral density (PSD) within the available channel range is analyzed in a fine-grained manner using short-time Fourier transform (STFT) or wavelet packet energy distribution algorithms. Based on the analysis results, sub-band regions with significantly higher interference energy than background noise are identified as high-power interference source sub-bands. This step constructs a dynamic energy map, enabling the concentrator to sense the interference intensity of different frequency sub-bands. Compared to traditional static interference avoidance at fixed frequencies, 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 domain energy analysis, the system can determine that the peak power energy in the range of 486.2–486.8 MHz exceeds four times the background noise, thus locking this range as a high-power interference source sub-band. A set of available high-frequency channels is maintained on the concentrator side, for example, eight segmented channels in the 470–510 MHz range. After locating the high-power interference sub-band, the system calculates the spectral distance between each available frequency point and the interference center frequency, prioritizing the frequency point furthest 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 cross-terminal interference status during the selection process to avoid secondary conflicts caused by multiple terminals switching to the same new frequency point simultaneously. The concentrator's global scheduling capabilities enable balanced allocation of frequency resources among terminals. For example, if the 486.2–486.8 MHz band is designated as an interference subband, and the available channels are 472.0, 478.8, 491.6, and 508.4 MHz, the system will prioritize 486.5 MHz, the frequency furthest from the interference source, as a candidate frequency. After selecting a candidate frequency, the concentrator multicasts a local micro-frequency hopping command to the affected terminals, instructing them to synchronously switch to the new operating frequency. Here, "local" means that the micro-frequency hopping operation is only performed within the range of terminals affected by interference, rather than a unified switch across the entire network, thus reducing the overhead of large-scale frequency reconfiguration.During the handover process, the terminal dynamically adjusts new modulation parameters, such as carrier amplitude, symbol rate, and coding scheme, based on the spectral characteristics of the interference source. This ensures that the new frequency point maintains sufficient isolation from the interference range in the power spectrum, improving link stability after the handover. Thus, through frequency domain energy distribution calculation and high-power interference sub-band localization, the system can achieve precise avoidance based on interference characteristics, rather than blind handover, fundamentally improving anti-interference capabilities. Furthermore, by calculating channel energy distribution in real time, the system can dynamically select available high-frequency channels, enabling it to adaptively adjust communication resources according to actual interference conditions, rather than relying on fixed frequency points. Additionally, by performing micro-frequency hopping handover within a preset terminal range, rather than synchronous handover across the entire network, it reduces frequency reconfiguration bandwidth overhead and avoids communication interruptions for interference-free terminals. Because the design avoids multiple terminals simultaneously selecting adjacent frequency points, it reduces packet collisions caused by frequency congestion, making it particularly suitable for multi-hop transmission and multicast communication scenarios. The micro-frequency hopping strategy, in conjunction with the high-speed power line carrier communication and high-speed wireless communication of dual-mode terminals, enables the system to maintain high availability and link continuity even in complex interference environments.

[0046] Understandably, in building power distribution rooms or high-density junction box scenarios, HPLC high-frequency carrier signals will experience multipath reflections in metal pipes, busbars, and parallel cables. When the delays of multiple paths are close, narrowband spectral ghosting occurs. At this point, traditional bit error rate detection cannot distinguish between transient interference and stability degradation, and the terminal often incorrectly maintains the original frequency, resulting in persistently high bit error rates without self-healing.

[0047] To address the above issues, some examples also include: In the high-speed power line carrier communication channel of a 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 multipath echo arrival time difference. A lightweight spectrum separation network deployed on the concentrator side is used to identify whether there are stable ghosting peaks in the communication signal based on the multipath feature vector, and to dynamically update the multipath interference status of the terminal. If, based on the ghosting peak, it is determined that there is ghosting interference in the high-speed power line carrier communication channel and that 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 set of locally available frequency points for frequency hopping switching.

[0048] It is understandable that in building distribution rooms or high-density junction box environments, high-speed power line carrier communication signals from three-phase four-wire low-voltage power grids will experience multipath reflection effects when propagating between various conductive media such as metal pipes, busbars, and parallel cables. When the propagation delays of different paths are close and superimposed in the receiver's frequency domain, stable narrowband spectral ghosting peaks can easily form in certain frequency bands. This type of interference is characterized by a long-term increase in the bit error rate (BER) without manifesting as a sudden failure. Traditional methods based on BER or SNR monitoring cannot distinguish between transient interference and stability degradation, causing the terminal to remain continuously on the frequency affected by ghosting interference, resulting in communication self-healing failure.

[0049] For example, in a high-speed power line carrier communication channel of a three-phase four-wire power grid, echo signals of different frequency bands can be periodically sampled at the link layer. By comparing the power ratio of uplink and downlink signals at the same frequency, echo attenuation characteristic curves can be obtained. Then, based on parameters such as echo arrival time difference, amplitude attenuation rate, and phase drift of each frequency band, multidimensional feature vectors reflecting multipath structures can be extracted. These multipath features can distinguish between short-path direct signals and long-path reflected signals, and quantify the interference coupling relationship between multiple propagation paths. By constructing and updating this feature vector in real time at the terminal side, the trend of spectral ghosting can be detected early without relying on long-period bit error statistics. For example, in a distribution room, the busbar extends along the wall, and there are parallel power cables and metal pipes nearby. When the HPLC signal encounters multiple superimposed paths, the echo delay difference is only on the order of microseconds. By analyzing the echo features, potential ghosting conditions can be clearly identified. A lightweight spectrum separation network is deployed at the concentrator side to reconstruct the power spectral density (PSD) mapping of the high-frequency band by comparing the multipath feature vectors reported by the terminal. This network employs a miniaturized neural network model or multi-scale convolutional filters to separate multipath echoes from the main path direct signal and performs attribution analysis on the energy distribution at different frequency points to identify the presence of stable spectral ghosting peaks. Unlike traditional bit error rate (BER) analysis, this approach focuses not only on the overall channel BER but also on judging the nature of interference from the spectral energy pattern. Randomly distributed spectral energy without obvious ghosting peaks indicates transient interference, while continuous power peaks in specific frequency bands correspond to multipath ghosting, indicating stability degradation. After identifying stable ghosting peaks, the concentrator dynamically updates the multipath interference status of the terminals and writes it into the concentrator's routing table, providing a basis for subsequent frequency hopping. When it is determined that ghosting interference exists in the current high-speed power line carrier communication channel and the main path signal is damaged, the concentrator selects the optimal frequency band closest to the main path signal but without ghosting interference, based on a preset set of locally available frequency points, for frequency hopping. During the selection process, the system considers spectral energy conditions, prioritizing candidate frequency bands located in stable spectral energy ranges and far from ghosting peaks. It also considers coordination between adjacent terminals to avoid secondary conflicts caused by high-density terminals simultaneously switching to the same new frequency. Furthermore, it considers link load balancing, rationally allocating available frequency bands to different topology areas to optimize overall communication capacity. Frequency hopping is performed within the range of locally affected terminals, without affecting other terminals without ghosting interference, reducing the complexity of large-scale network frequency reconfiguration. Therefore, by jointly analyzing echo attenuation characteristics and multipath arrival time differences, without relying on traditional cumulative bit error rate statistics, the system can identify spectral ghosting trends in advance, achieving higher detection sensitivity. By identifying energy distribution patterns through spectrum separation networks, it can distinguish between occasional noise and long-term stable degradation caused by multipath ghosting, preventing terminals from lingering on affected frequencies for extended periods.The system does not rely on fixed frequency points or predefined priorities, but dynamically allocates the best available frequency bands based on real-time spectral energy status, achieving self-healing of the communication channel. In high-density multi-terminal scenarios, by accurately locating multipath interference and performing distributed frequency hopping switching, it effectively reduces the cumulative effect of signal distortion in multi-hop forwarding links. Furthermore, it is particularly suitable for use in building power distribution rooms, centralized junction boxes, or metallic environments, where multipath reflections are significant, exhibiting higher robustness and recovery capabilities than traditional HPLC frequency fixing strategies.

[0050] In some examples, it also includes: During the switching to the strongest interference-free frequency band, an HRF backup relay path is established through a high-speed wireless communication channel to synchronously transmit key frame data during frequency hopping.

[0051] For example, when stable multipath ghosting interference is detected in the high-speed power line carrier communication channel and it is determined that a switch to a new optimal interference-free frequency band is needed, the concentrator, while initiating a frequency switching command, schedules terminal nodes with dual-mode communication capabilities to activate their high-speed wireless communication modules and establishes temporary backup relay paths between adjacent terminals based on the HRF channel. The backup relay path is used to achieve low-latency forwarding of key frame data during the transition period when the main link completes the frequency switching, thereby avoiding communication interruptions caused by frequency hopping. During this process, the concentrator maintains a key frame priority scheduling table, prioritizing the forwarding of state synchronization packets, routing update packets, and high-priority control commands via the HRF relay link based on the importance level of the key frames at the application layer. Simultaneously, the system executes lightweight traffic compression and rate adaptation strategies on the HRF link to ensure transmission efficiency under limited bandwidth conditions. After the frequency hopping of the HPLC channel is completed and the new frequency link is confirmed to be stable, the HRF backup relay path is automatically released, and the network returns to the conventional master-slave communication topology. By introducing HRF backup relay links during frequency hopping, highly reliable and seamless frequency switching is achieved, avoiding the loss of critical control data or synchronization signaling within the frequency switching window, thereby improving the communication continuity and task execution stability of the entire system in high-interference environments.

[0052] The communication method based on HPLC and HRF dual-mode fusion in the embodiments of this application has been described above. The communication system based on HPLC and HRF dual-mode fusion in the embodiments of this application is described below.

[0053] Please see Figure 2 This application describes an embodiment of a communication system based on the fusion of HPLC and HRF dual modes, which may include: The construction unit 201 is used to dynamically learn the electrical phase of each terminal in the high-speed power carrier communication channel of a three-phase four-wire power grid by means of carrier coupling success rate, construct an electrical phase identification model and record the communication characteristics of the phase line to which each terminal belongs. The identification unit 202 is used to identify the link isolation status between different phase lines by combining the electrical phase communication spectrum generated by the concentrator side based on the phase information of each terminal. The optimization unit 203 is used to execute a preset collaborative packet sending optimization strategy when it is determined that there is a cross-phase communication bottleneck based on the link isolation status, and to establish an out-of-phase relay path through a high-speed wireless communication channel during the optimization process.

[0054] In summary, the communication system based on HPLC and HRF dual-mode fusion provided in the above embodiments dynamically learns the phase of each terminal in a three-phase four-wire power line carrier communication channel by using carrier coupling success rate, constructs a phase identification model, and records the communication characteristics of the phase line to which each terminal belongs. Combined with the phase communication map generated by the concentrator side based on the phase information of each terminal, it identifies the link isolation status between different phase lines. When a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an out-of-phase relay path is established through the high-speed wireless communication channel. Therefore, by dynamically learning the phase characteristics of the terminals, the system can automatically update its configuration when the power grid topology changes frequently, avoiding the problem of link scheduling relying on static parameters. The phase communication map analyzes the characteristics of cross-phase links from a global perspective, enabling early identification and marking of high-impedance bottleneck paths, making resource scheduling more targeted. Establishing out-of-phase relay paths through the HRF channel solves the problem of cross-phase high-frequency signal attenuation at the physical layer, and the collaborative packet sending optimization improves the system's time slot utilization and link stability. HPLC and HRF work in parallel, leveraging the coverage advantage of power line communication and the anti-isolation capability of wireless channels to achieve more efficient resource integration and link robustness.

[0055] above Figure 2 The communication system based on HPLC and HRF dual-mode fusion in this application embodiment has been described from the perspective of modular functional entities. The following is a detailed description of the communication system based on HPLC and HRF dual-mode fusion in this application embodiment from the perspective of hardware processing. Please refer to [link / reference]. Figure 3 One embodiment of the communication system 300 based on HPLC and HRF dual-mode fusion in this application includes: The system includes an input device 301, an output device 302, a processor 303, and a memory 304, wherein the number of processors 303 can be one or more. Figure 3Taking a processor 303 as an example. In some embodiments of this application, the input device 301, output device 302, processor 303, and memory 304 can be connected via a bus or other means, wherein... Figure 3 Taking the example of a connection between China and Israel via a bus.

[0056] Specifically, by calling the operation instructions stored in memory 304, processor 303 executes the following steps: In the high-speed power line carrier communication channel of a three-phase four-wire power grid, the phase of each terminal is dynamically learned by the carrier coupling success rate, a phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded. By combining the electrical phase communication map generated by the concentrator based on the phase information of each terminal, the link isolation status between different phase lines can be identified. If a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an out-of-phase relay path is established through a high-speed wireless communication channel.

[0057] By calling the operation instructions stored in memory 304, processor 303 is also used to execute... Figure 1 Any of the methods in the corresponding embodiments.

[0058] Please see Figure 4 , Figure 4 A schematic diagram illustrating an embodiment of the electronic device provided in this application.

[0059] like Figure 4 As shown, this application provides an electronic device, including a memory 304, a processor 303, and a computer program 411 stored in the memory 304 and executable on the processor 303. When the processor 303 executes the computer program 411, it performs the following steps: In the high-speed power line carrier communication channel of a three-phase four-wire power grid, the phase of each terminal is dynamically learned by the carrier coupling success rate, a phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded. By combining the electrical phase communication map generated by the concentrator based on the phase information of each terminal, the link isolation status between different phase lines can be identified. If a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an out-of-phase relay path is established through a high-speed wireless communication channel.

[0060] In practical implementation, when processor 303 executes computer program 411, it can achieve... Figure 1 Any of the corresponding implementation methods in the embodiments.

[0061] Since the electronic device described in this embodiment is the device used to implement a communication system based on HPLC and HRF dual-mode fusion in this application embodiment, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in this application embodiment. Therefore, how the electronic device implements the method in this application embodiment will not be described in detail here. Any device used by those skilled in the art to implement the method in this application embodiment is within the scope of protection of this application.

[0062] Please see Figure 5 , Figure 5 This is a schematic diagram illustrating an embodiment of a computer-readable storage medium provided in this application.

[0063] like Figure 5 As shown, this embodiment provides a computer-readable storage medium 500 on which a computer program 511 is stored. When the computer program 511 is executed by a processor, it performs the following steps: In the link layer of the high-speed power line carrier communication channel, the short-term fluctuation trend of the communication bit error rate of the high-speed power line carrier communication channel over the past N periods is recorded through the channel perturbation memory function. By combining the disturbance spectrum identification model, the degradation status of the current high-speed power line carrier communication channel is identified; If it is determined that the high-speed power line carrier communication channel is in a degraded state, a preset spectrum parameter rollback strategy is executed, and during the spectrum parameter rollback process, a heterogeneous relay path is established through the high-speed wireless communication channel to transmit the key data to be confirmed.

[0064] By calling the operation instructions stored in memory 304, processor 303 is also used to execute... Figure 1 Any of the methods in the corresponding embodiments.

[0065] This application provides a computer program product comprising one or more computer instructions. When these computer program instructions are loaded and executed on a computer, they generate, in whole or in part, the processes or functions described in this application. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0066] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0067] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0068] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0069] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0070] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0071] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A communication method based on the fusion of HPLC and HRF dual modes, characterized in that, include: In the high-speed power line carrier communication channel of a three-phase four-wire power grid, the phase of each terminal is dynamically learned by the carrier coupling success rate, a phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded. By combining the electrical phase communication map generated by the concentrator based on the phase information of each terminal, the link isolation status between different phase lines can be identified. If a cross-phase communication bottleneck is determined based on the link isolation status, a preset collaborative packet sending optimization strategy is executed, and during the optimization process, an out-of-phase relay path is established through a high-speed wireless communication channel.

2. The method according to claim 1, characterized in that, In the high-speed power line carrier communication channel of a three-phase four-wire power grid, the phase of each terminal is dynamically learned through carrier coupling success rate, a phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded, including: In the high-speed power line carrier communication channel of a three-phase four-wire power grid, each terminal is controlled to continuously detect the carrier coupling success rate under multiple modulation frequency points and multiple frame periods based on the accessed high-speed power line carrier communication channel. Based on the success rate distribution at different frequency points, the amplitude fluctuation characteristics within adjacent cycles, and the mutual interference modes of cross-terminal links, multi-dimensional feature parameters related to the terminal and electrical phase are extracted. The multidimensional feature parameters are input into the electrical phase recognition model for cluster learning to generate electrical phase labels corresponding to each terminal, thereby forming the phase line feature vector of each terminal.

3. The method according to claim 1, characterized in that, The step of executing a preset cooperative packet sending optimization strategy when a cross-phase communication bottleneck is determined based on the link isolation status, and establishing an out-of-phase relay path through a high-speed wireless communication channel during the optimization process, includes: When a cross-phase communication bottleneck is determined based on the link isolation status, the concentrator prioritizes using high-speed wireless communication channels to forward data across phases during routing scheduling, and uses high-speed power line carrier communication channels within a phase for aggregation, in order to construct an optimal balance for hybrid loads.

4. The method according to claim 1, characterized in that, Also includes: Terminal gene identification parameters are added to the HRF protocol frames of high-speed wireless communication channels to construct terminal identity feature vectors based on frequency phase fingerprints and hardware spurious features; A local signal signature library is built on the concentrator side. By comparing the source characteristics of the received HRF data packets with the terminal identity feature vector, abnormal fake packets sent by unexpected terminal sources in the current link can be identified. When abnormal fake packet interference causes a decrease in the reliability of link communication, a preset local micro-frequency hopping strategy is executed. During the local micro-frequency hopping process, the modulation parameters are dynamically adjusted based on the spectral characteristics of the interference source to avoid the interference band.

5. The method according to claim 4, characterized in that, The step of implementing a preset local micro-frequency hopping strategy when abnormal pseudo-packet interference causes a decrease in link communication reliability, and dynamically adjusting modulation parameters based on the spectral characteristics of the interference source during the local micro-frequency hopping process to avoid interference bands, includes: In the event that abnormal fake packet interference causes a decrease in the reliability of link communication, the frequency domain energy distribution is calculated based on the spectral characteristics of the interference source to locate the high-power interference source subband. The candidate frequency point farthest from the interference source subband is dynamically selected from the available high-frequency channel set, so as to perform local frequency hopping switching of the high-speed wireless communication channel to the candidate frequency point within the preset terminal range.

6. The method according to claim 1, characterized in that, Also includes: In the high-speed power line carrier communication channel of a 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 multipath echo arrival time difference. A lightweight spectrum separation network deployed on the concentrator side is used to identify whether there are stable ghosting peaks in the communication signal based on the multipath feature vector, and to dynamically update the multipath interference status of the terminal. If, based on the ghosting peak, it is determined that there is ghosting interference in the high-speed power line carrier communication channel and that 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 set of locally available frequency points for frequency hopping switching.

7. The method according to claim 6, characterized in that, Also includes: During the switching to the strongest interference-free frequency band, an HRF backup relay path is established through a high-speed wireless communication channel to synchronously transmit key frame data during frequency hopping.

8. A communication system based on the fusion of HPLC and HRF dual modes, characterized in that, include: The construction unit is used to dynamically learn the electrical phase of each terminal in the high-speed power line carrier communication channel of a three-phase four-wire power grid by means of carrier coupling success rate, construct an electrical phase identification model and record the communication characteristics of the phase line to which each terminal belongs; The identification unit is used to identify the link isolation status between different phase lines by combining the electrical phase communication spectrum generated by the concentrator side based on the phase information of each terminal. The optimization unit is used to execute a preset collaborative packet sending optimization strategy when it is determined that there is a cross-phase communication bottleneck based on the link isolation status, and to establish an out-of-phase relay path through a high-speed wireless communication channel during the optimization process.

9. An electronic device, characterized in that, The electronic device includes at least one processor and at least one memory connected to the processor, wherein the processor is used to call program instructions in the memory to execute the communication method based on HPLC and HRF dual-mode fusion as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the storage medium to perform the communication method based on HPLC and HRF dual-mode fusion as described in any one of claims 1 to 7.

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