A dual-mode communication module self-organizing network data transmission method and system based on power grid physical characteristics

Abstract

The application discloses a kind of dual-mode communication module ad hoc network data transmission method and system based on power grid physical characteristics, method applies dual-mode communication module ad hoc network, comprising: node becomes data source node when detecting suddenness service, determines fault phase line based on fault electrical characteristics, according to pre-stored phase line-frequency coupling relationship selects matching target channel and transmission path;Data source node uses power grid power frequency phase at fault trigger time as synchronous reference, generates and broadcasts the frequency spectrum phase scheduling order containing phase, sending time and path, to make each node on path determine accurate action time of itself;At the same time, for the periodic service stream that has used target channel before suddenness service occupies, start channel re-planning, establish alternative transmission path;Finally, each node completes the coordinated transmission of suddenness service data on target channel according to scheduling order.The method realizes the rapid, coordinated transmission of suddenness service using power grid physical characteristics, reduces the influence on existing service.

Description

Technical Field

[0001] This invention relates to the field of electrical system data transmission, and in particular to a method and system for data transmission in a self-organizing network of dual-mode communication modules based on the physical characteristics of the power grid. Background Technology

[0002] As smart grids evolve towards deeper digitalization and intelligence, dual-mode converged self-organizing networks based on power line carrier communication (HPLC) and high-speed wireless communication (HRF) have become crucial communication infrastructures supporting key services such as distribution automation and advanced measurement systems due to their advantages of wide-area power line coverage and flexible wireless access. In this network, service flows typically exhibit two types of characteristics: highly deterministic periodic services (such as scheduled meter reading) and unpredictable, sudden services (such as fault recording and protection tripping).

[0003] Existing technologies typically employ two main strategies to handle bursty traffic, but both have significant limitations. The first strategy is "queueing," where bursty traffic, upon detection, follows existing route discovery and channel negotiation mechanisms for transmission. This process involves complex signaling interactions and potential multi-hop retransmissions, making it difficult to meet the millisecond-level latency requirements of services like relay protection, resulting in a fundamental flaw of "insufficient timeliness." The second strategy is "priority preemption," which assigns the highest priority to bursty traffic, allowing it to forcibly interrupt and occupy the currently best-quality channel. While this shortens the transmission time of bursty traffic, its sudden preemption directly interrupts a large number of ongoing periodic traffic flows, causing instantaneous network congestion, increased conflicts, and a sharp drop in overall service quality, thus introducing the new problem of "causing congestion."

[0004] Therefore, the core contradiction of existing technologies lies in the inability to establish a reliable transmission channel in dual-mode self-organizing networks that can both respond rapidly to sudden surges in traffic and avoid disrupting existing periodic traffic. Specifically, this manifests as: a lack of a mechanism to intelligently select the optimal communication frequency (channel) based on the physical characteristics of power grid faults (such as faulty phase lines); a lack of a precise coordination method to achieve signaling-free interaction across the entire network by utilizing the inherent synchronization characteristics of the power grid (power frequency phase); and a lack of collaborative planning capabilities to proactively and orderly migrate affected periodic traffic before the transmission of sudden surges. These shortcomings severely limit the performance of dual-mode self-organizing networks in high-reliability smart grid application scenarios. Summary of the Invention

[0005] In view of the aforementioned deficiencies of the prior art, the technical problem to be solved by the present invention is to provide a method and system for data transmission of a dual-mode communication module self-organizing network based on the physical characteristics of the power grid, which aims to achieve rapid and coordinated transmission of bursty services while reducing the impact on existing services.

[0006] To achieve the above objectives, the first aspect of this invention discloses a data transmission method for a dual-mode communication module self-organizing network based on the physical characteristics of the power grid, applied to a dual-mode self-organizing network of power line carrier communication (HPLC) and high-speed wireless communication (HRF), the method comprising:

[0007] Step S1: When a node in the dual-mode self-organizing network detects a burst service that meets preset fault electrical characteristics, the node is identified as a data source node. The data source node determines the faulty phase line based on the first fault electrical characteristics corresponding to the burst service, and selects a target channel matching the faulty phase line according to the pre-stored phase line-frequency coupling relationship. The data source node determines the transmission path of the burst service based on the target channel and the location of the target node. The phase line-frequency coupling relationship is a correspondence used to characterize the inherent signal transmission efficiency between different phases of the power line and different communication frequencies, and the transmission path is a combination of the target channel between the data source node, the relay node, and the target node.

[0008] Step S2: The data source node uses the first power grid frequency phase at the fault trigger time corresponding to the sudden service as the network-wide synchronization reference to generate and broadcast a spectrum phase scheduling order; wherein, the spectrum phase scheduling order includes the first power grid frequency phase, the transmission time of the sudden service, and the transmission path, so as to enable each node on the transmission path to determine its precise action time on the target channel.

[0009] Step S3: The data source node, the relay node, and the target node, according to the spectrum phase scheduling order, initiate channel replanning for the periodic service data stream that has occupied the target channel before the burst service data transmission, and establish an alternative transmission path for it to maintain data transmission.

[0010] Step S4: The data source node, the relay node, and the target node complete the coordinated transmission of the bursty service data on the corresponding target channel according to the spectrum phase scheduling order.

[0011] Optionally, the phase-frequency coupling relationship is dynamically obtained through data learning, specifically including:

[0012] During the normal transmission of periodic services or detection signals, the node records its own communication quality indicators on each subcarrier of HPLC and each channel of HRF.

[0013] The node associates the communication quality index with the phase line identifier it is on and reports it to the concentrator;

[0014] The concentrator aggregates and statistically analyzes the communication quality indicators of each frequency under different phase lines, and generates and distributes the phase line-frequency coupling relationship.

[0015] Optionally, after step S4, the method further includes:

[0016] After the bursty service data transmission is completed, the data source node, the relay node, and the target node generate a spectrum lending record and upload it to the concentrator, which then performs resource compensation for the affected periodic service data streams during subsequent network scheduling.

[0017] Optionally, the coordinated transmission of bursty service data in step S4 specifically includes:

[0018] Each node independently calculates its own data transmission, forwarding, or reception time based on the spectrum phase scheduling order, and performs corresponding operations on the corresponding target channel at the corresponding time, thereby realizing distributed precise synchronous transmission without signaling interaction.

[0019] Optionally, the channel replanning initiated in step S3 adopts a chain migration, specifically: the data source node or concentrator generates a migration instruction and transmits it sequentially along the transmission path of the affected periodic service data stream, guiding the nodes on the path to switch to the new channel in turn.

[0020] The second aspect of this invention discloses a dual-mode communication module self-organizing network data transmission system based on the physical characteristics of the power grid, applied to a dual-mode self-organizing network of power line carrier communication (HPLC) and high-speed wireless communication (HRF). The system includes each node of the dual-mode self-organizing network, and each node includes a fault detection module, a spectrum phase scheduling order generation module, a channel adjustment module, and a transmission module.

[0021] The fault detection module is used to identify a node as a data source node when the fault detection module of a node in the dual-mode self-organizing network detects a sudden service that meets preset fault electrical characteristics; the fault detection module of the data source node determines the faulty phase line based on the first fault electrical characteristics corresponding to the sudden service, and selects a target channel matching the faulty phase line according to a pre-stored phase line-frequency coupling relationship; the data source node determines the transmission path of the sudden service according to the target channel and the location of the target node; wherein, the phase line-frequency coupling relationship is a correspondence used to characterize the inherent signal transmission efficiency between different phases of the power line and different communication frequencies, and the transmission path is a combination of the target channel between the data source node, the relay node, and the target node;

[0022] The spectrum phase scheduling order generation module of the data source node is used to generate and broadcast a spectrum phase scheduling order based on the first power grid frequency phase at the fault triggering time corresponding to the sudden service as the network-wide synchronization reference; wherein, the spectrum phase scheduling order includes the first power grid frequency phase, the transmission time of the sudden service and the transmission path, and is used to enable each node on the transmission path to determine its precise action time on the target channel.

[0023] The channel adjustment modules of the data source node, the relay node, and the target node are used to initiate channel replanning and establish alternative transmission paths for periodic service data streams that have occupied the target channel before the burst service data transmission, in accordance with the spectrum phase scheduling order, so as to maintain data transmission.

[0024] The transmission modules of the data source node, the relay node, and the target node are used to complete the coordinated transmission of the bursty service data on the corresponding target channel according to the spectrum phase scheduling order.

[0025] Optionally, the phase-frequency coupling relationship is dynamically obtained through data learning, specifically including:

[0026] During the normal transmission of periodic services or detection signals, the node records its own communication quality indicators on each subcarrier of HPLC and each channel of HRF.

[0027] The node associates the communication quality index with the phase line identifier it is on and reports it to the concentrator;

[0028] The concentrator aggregates and statistically analyzes the communication quality indicators of each frequency under different phase lines, and generates and distributes the phase line-frequency coupling relationship.

[0029] Optionally, each node may also include a spectrum lending record generation module;

[0030] The lending record generation module is used to generate spectrum lending records and upload them to the concentrator after the data source node, the relay node and the target node have completed the transmission of the bursty service data. The concentrator then performs resource compensation for the affected periodic service data stream in subsequent network scheduling.

[0031] Optionally, the cooperative transmission specifically includes:

[0032] Each of the transmission modules independently calculates its own data transmission, forwarding, or reception time based on the spectrum phase scheduling order, and performs corresponding operations on the corresponding target channel at the corresponding time, thereby realizing distributed precise synchronous transmission without signaling interaction.

[0033] Optionally, the channel replanning adopts a chain migration, specifically: the data source node or concentrator generates a migration instruction and transmits it sequentially along the transmission path of the affected periodic service data stream, guiding the nodes on the path to switch to the new channel in turn.

[0034] The beneficial effects of this invention are as follows: 1. This invention, through a "phase-line waveguide priority strategy," directly selects the channel with the optimal physical layer transmission efficiency based on the physical attributes of the power grid fault (faulty phase line), skipping the complex channel scanning and contention process. Simultaneously, utilizing the "spectrum phase scheduling order" and the power grid's power frequency phase as a natural synchronization source, it provides a unified time base with microsecond-level precision for all nodes on the transmission path, achieving distributed, precise, and synchronous transmission without signaling interaction. This compresses the end-to-end delay from fault detection to the start of data transmission to the millisecond level, fully meeting the stringent requirements of critical services such as relay protection. 2. This invention transforms passive "resource preemption" into proactive "cooperative planning." While making decisions for sudden service disruptions, it immediately initiates channel replanning for affected periodic services based on the same information, guiding them to a pre-set alternative path through an orderly chain migration, thereby completely avoiding instantaneous network congestion and conflicts caused by sudden interruptions. Furthermore, the spectrum lending mechanism records each emergency occupation as a traceable, compensable certificate, which is settled during long-term scheduling, ensuring long-term fairness for all services (regardless of priority) from a systemic perspective. 3. The introduction of phase-frequency coupling in this invention transforms channel selection from a general signal-based approach to a physical matching approach. This not only improves the reliability of single transmissions but also enhances the overall utilization efficiency of the entire network's spectrum resources by reducing probing of suboptimal channels and cross-phase-line interference.

[0035] This invention ingeniously integrates physical characteristics such as power grid frequency synchronization and phase line coupling. Through the synergistic effect of phase line waveguide priority and spectrum phase scheduling, it transforms the preemption of burst data transmission into coordination, thus solving the problem of the incompatibility between speed and order in burst services in power communication. Attached Figure Description

[0036] Figure 1 This is a flowchart illustrating a method for data transmission in a self-organizing network using a dual-mode communication module based on the physical characteristics of a power grid, according to a specific embodiment of the present invention.

[0037] Figure 2 This is a schematic diagram of the structure of a dual-mode communication module self-organizing network data transmission system based on the physical characteristics of the power grid, provided in a specific embodiment of the present invention. Detailed Implementation

[0038] This invention discloses a method and system for data transmission in a self-organizing network based on the physical characteristics of a power grid. Those skilled in the art can refer to the content of this document and appropriately modify the technical details. It should be particularly noted that all similar substitutions and modifications are obvious to those skilled in the art and are considered to be included in this invention. The methods and applications of this invention have been described through preferred embodiments. Those skilled in the art can obviously modify or appropriately change and combine the methods and applications described herein without departing from the content, spirit, and scope of this invention to implement and apply the technology of this invention.

[0039] This invention provides a data transmission method for a dual-mode communication module self-organizing network based on the physical characteristics of the power grid, applied to a dual-mode self-organizing network of power line carrier communication (HPLC) and high-speed wireless communication (HRF), such as... Figure 1 As shown, the method includes:

[0040] Step S1: When a node in a dual-mode self-organizing network detects a burst service that meets the preset fault electrical characteristics, the node is identified as a data source node. The data source node determines the faulty phase line based on the first fault electrical characteristics corresponding to the burst service, and selects a target channel that matches the faulty phase line according to the pre-stored phase line-frequency coupling relationship. The data source node determines the transmission path of the burst service based on the location of the target channel and the target node.

[0041] Among them, the phase-frequency coupling relationship is used to characterize the correspondence between the inherent signal transmission efficiency of different phases of the power line and different communication frequencies, and the transmission path is a combination of the target channel between the data source node, the relay node, and the target node.

[0042] It should be noted that after detecting an electrical signal that matches the fault characteristics, the node self-identifies as the data source node and then performs two decisions: first, it selects the target channel with the optimal coupling efficiency based on the fault phase line identifier and the pre-stored "phase line-frequency coupling relationship"; second, it determines the transmission path based on this channel and the location of the target node. This step aims to solve the problems of channel selection being disconnected from the physical state of the power grid and slow response initiation in traditional methods. Step S1 realizes instantaneous and intelligent mapping from physical fault events to optimal communication resources, laying the physical layer high-speed transmission foundation for bursty services.

[0043] In this specific embodiment, the phase-frequency coupling relationship is dynamically obtained through data learning, specifically including:

[0044] During the normal transmission of periodic services or probe signals, the node records its own communication quality indicators on each subcarrier of HPLC and each channel of HRF.

[0045] The node associates the communication quality index with the phase line identifier it is on and reports it to the concentrator;

[0046] The concentrator aggregates and statistically analyzes the communication quality indicators of each frequency under different phase lines, and generates and distributes the phase line-frequency coupling relationship.

[0047] It's important to note that the phase-frequency coupling relationship is not statically configured, but rather dynamically learned and updated through a data-driven approach. Specifically, during normal operation, nodes in the network continuously monitor and record their communication quality indicators (such as signal-to-noise ratio and packet error rate) on each subcarrier of the HPLC and each channel of the HRF, whether performing periodic service transmissions or sending probe signals. These indicators are associated with the phase identifier of the node and reported to the concentrator. The concentrator aggregates massive amounts of data and uses statistical analysis (such as long-term trend analysis and pattern recognition) to extract stable coupling patterns between different phases and frequencies, ultimately generating and distributing updated coupling relationships downwards. This process solves the problems of fixed channel selection models in traditional schemes, which cannot adapt to dynamic environments such as aging power grid lines and load changes. This embodiment enables the system to have self-learning and optimization capabilities, ensuring that the knowledge base on which the "phase waveguide priority strategy" is based always reflects the current real physical characteristics of the power grid, thereby guaranteeing the long-term accuracy and adaptability of channel selection decisions.

[0048] Step S2: The data source node uses the first power grid frequency phase at the fault trigger time corresponding to the sudden service as the synchronization benchmark for the entire network, and generates and broadcasts the spectrum phase scheduling order.

[0049] The spectrum phase scheduling order includes the first power grid frequency phase, the transmission time of the burst service, and the transmission path, which is used to enable each node on the transmission path to determine its precise action time on the target channel.

[0050] It should be noted that the data source node extracts the power grid frequency phase at the moment of fault triggering as the absolute time reference for the entire network, and uses this to generate a lightweight "spectrum phase scheduling order" for broadcasting. This order encodes the cooperative timing rules. This step aims to solve the problem of achieving microsecond-level precise synchronization in distributed networks that relies on complex signaling interactions. Step S2 utilizes the inherent, globally synchronized power grid frequency signal to provide a zero-overhead, high-precision unified clock, enabling all subsequent node actions to be executed deterministically, as if following a timetable.

[0051] In step S3, the data source node, relay node, and target node, according to the spectrum phase scheduling order, initiate channel replanning to establish alternative transmission paths for periodic service data streams that have occupied the target channel before the burst service data transmission, so as to maintain data transmission.

[0052] It should be noted that, while generating the burst service scheduling order, step S3 proactively initiates "channel replanning" for the periodic service flow that is about to be occupied, based on the known target channel and transmission path, and calculates and establishes its alternative transmission path. This step aims to fundamentally solve the problem of instantaneous network congestion and service interruption that is inevitably caused by the traditional "priority preemption" mode. Step S3 changes resource allocation from "post-conflict remedy" to "pre-conflict coordination," realizing seamless switching of periodic services and ensuring the overall orderliness and high throughput of the network.

[0053] In this specific embodiment, step S3 specifically includes:

[0054] The data source node, relay node, and target node calculate the first occupancy time of their corresponding target channels by bursty services according to the spectrum phase scheduling order; based on the target channel and the first occupancy time, for periodic service data streams that have occupied the target channel before the bursty service data transmission, channel replanning is initiated to establish alternative transmission paths to maintain data transmission.

[0055] It should be noted that calculating the corresponding channel occupancy time allows for precise planning, avoiding waste of channel resources, and ensuring the transmission efficiency of both bursty and periodic data.

[0056] In this specific embodiment, the channel replanning initiated in step S3 adopts a chain migration, which is as follows: the data source node or concentrator generates a migration instruction and transmits it sequentially along the transmission path of the affected periodic service data stream, guiding the nodes on the path to switch to the new channel in turn.

[0057] It should be noted that the alternative transmission paths established for replanning affected periodic services are switched in an orderly manner using a "chain migration" approach. This process is coordinated by the data source node or concentrator, which generates explicit migration instructions. These instructions are not broadcast to all nodes simultaneously, but rather relayed sequentially along the original transmission path of the affected service flow. Each node on the path only passes the instruction to the next node after receiving it and completing its own channel switch, thus guiding the entire service flow to migrate smoothly from the old channel to the new channel, link by link, like a chain. This approach mitigates the risks of instantaneous signaling storms, network topology oscillations, and even service interruptions that may be caused by large-scale concurrent channel switching. This embodiment achieves a smooth and seamless transition in service flow transmission, minimizing the impact of the migration process on service continuity while ensuring the stability of the network control plane. It is a key operational guarantee for achieving the goals of "seamless switching" and "zero congestion."

[0058] In step S4, the data source node, relay node, and target node complete the coordinated transmission of bursty service data on the corresponding target channel according to the spectrum phase scheduling order.

[0059] It should be noted that all nodes on the transmission path independently parse the spectrum phase scheduling order, calculate their precise action time, and automatically perform transmission, forwarding, or reception operations on the target channel at that time, jointly completing the data relay transmission. This step aims to eliminate the delay and uncertainty caused by the "request-response" and random backoff of each hop in multi-hop transmission. Step S4 realizes distributed precise synchronous transmission without signaling interaction. The entire process is efficient and deterministic, greatly improving spectrum utilization efficiency and transmission reliability, and ensuring the rapid delivery of bursty information.

[0060] In this specific embodiment, the coordinated transmission of bursty service data in step S4 is specifically as follows:

[0061] Each node independently calculates its own data transmission, forwarding, or reception time based on spectrum phase scheduling orders, and performs corresponding operations on the corresponding target channel at the corresponding time, thereby achieving distributed precise synchronous transmission without signaling interaction.

[0062] It should be noted that the core of the collaborative transmission of bursty service data lies in a distributed, precise synchronization mechanism without signaling interaction. Upon receiving the spectrum phase scheduling order, each node (including the data source, relay, and target node) does not need to query or confirm with each other. Instead, based on the unified reference phase and timing rules within the scheduling order, and combined with its own logical position in the path, it independently and in parallel calculates the precise time at which it begins sending, forwarding, or receiving data. At that time, all nodes automatically execute the corresponding operations on the agreed target channel, as if following the same precise timetable. This specific implementation solves the problems of large cumulative delays, low efficiency, and poor determinism caused by hop-by-hop handshakes, acknowledgments, and random backoffs in multi-hop ad hoc network transmission. This embodiment achieves highly efficient pipelined data transmission, eliminates the overhead and contention of control signaling, and makes end-to-end transmission delay predictable and guaranteed, greatly improving the utilization efficiency of wireless spectrum resources and the reliability of the entire emergency communication process.

[0063] In this specific embodiment, after step S4, the method further includes:

[0064] After a burst of business data transmission is completed, the data source node, relay node, and target node generate a spectrum lending record and upload it to the concentrator. The concentrator then compensates the affected periodic business data streams for resources during subsequent network scheduling.

[0065] It should be noted that, to maintain long-term fairness and incentive compatibility of the network, after a burst of service data transmission is completed, the relevant nodes generate a "spectrum lending record." This record clearly specifies the channel resources borrowed, the duration of occupation, and the identifier of the affected periodic services, and is uploaded to the concentrator for archiving. In subsequent network resource scheduling, the concentrator will use this record to compensate the periodic services whose rights have been impaired, such as allocating them to better channels, assigning them higher scheduling priority, or granting them additional transmission opportunities. This mechanism solves the fairness problem in the traditional priority preemption model, where the rights of low-priority services are continuously and uncompensatedly eroded, potentially leading to their "starvation." This specific embodiment establishes a resource usage paradigm based on credit and compensation, incorporating one-time emergency preemption into a long-term, fair resource economic cycle for management. This ensures both the efficiency of emergency response and the protection of the fundamental interests of all network participants, guaranteeing the long-term health and stable operation of the system.

[0066] This invention employs a "phase-line waveguide priority strategy," directly selecting the channel with optimal physical layer transmission performance based on the physical attributes of the power grid fault (faulty phase line), skipping the complex channel scanning and contention process. Simultaneously, utilizing the "spectrum phase scheduling order" and the power grid's power frequency phase as a natural synchronization source, it provides a unified time base with microsecond-level precision for all nodes along the transmission path, achieving distributed, precise, and synchronous transmission without signaling interaction. This compresses the end-to-end delay from fault detection to the start of data transmission to the millisecond level, fully meeting the stringent requirements of critical services such as relay protection.

[0067] This invention transforms passive "resource preemption" into proactive "cooperative planning." While making decisions for sudden service disruptions, it immediately initiates channel replanning for affected periodic services based on the same information. Through an orderly chain-like migration, these services are guided to pre-defined alternative paths, thus completely avoiding instantaneous network congestion and conflicts caused by sudden interruptions. Furthermore, the spectrum lending mechanism records each emergency use as a traceable, compensable credential, which is settled during long-term scheduling, ensuring long-term fairness for all services (regardless of priority) from a systemic perspective.

[0068] The introduction of phase-frequency coupling in this embodiment of the invention transforms channel selection from a general signal-based approach to a physical matching approach. This not only improves the reliability of single transmissions but also enhances the overall utilization efficiency of the entire network's spectrum resources by reducing probing of suboptimal channels and cross-phase-line interference.

[0069] The embodiments of this invention cleverly integrate physical characteristics such as power grid frequency synchronization and phase line coupling. By combining phase line waveguide priority with spectrum phase scheduling, the preemption of burst data transmission is transformed into coordination, thus solving the problem of the incompatibility between speed and order in burst services in power communication.

[0070] Based on the aforementioned data transmission method for a dual-mode communication module self-organizing network based on power grid physical characteristics, this embodiment of the invention also provides a data transmission system for a dual-mode communication module self-organizing network based on power grid physical characteristics. This system is applied to a dual-mode self-organizing network of power line carrier communication (HPLC) and high-speed wireless communication (HRF). The system includes various nodes of the dual-mode self-organizing network, such as... Figure 2 As shown, the node includes a fault detection module 201, a spectrum phase scheduling order generation module 202, a channel adjustment module 203, and a transmission module 204;

[0071] The fault detection module 201 is used to identify a node as a data source node when the fault detection module 201 of a node in a dual-mode self-organizing network detects a sudden service that meets the preset fault electrical characteristics. The fault detection module 201 of the data source node determines the faulty phase line based on the first fault electrical characteristics corresponding to the sudden service, and selects a target channel that matches the faulty phase line according to the pre-stored phase line-frequency coupling relationship. The data source node determines the transmission path of the sudden service according to the location of the target channel and the target node. The phase line-frequency coupling relationship is a correspondence used to characterize the inherent signal transmission efficiency between different phases of the power line and different communication frequencies, and the transmission path is a combination of the target channel between the data source node, the relay node, and the target node.

[0072] The spectrum phase scheduling order generation module 202 of the data source node is used to generate and broadcast a spectrum phase scheduling order based on the first power grid frequency phase at the fault triggering time corresponding to the burst service as the network-wide synchronization reference. The spectrum phase scheduling order includes the first power grid frequency phase, the transmission time of the burst service, and the transmission path, which enables each node on the transmission path to determine its precise action time on the target channel.

[0073] The channel adjustment module 203 of the data source node, relay node and target node is used to initiate channel replanning for periodic service data streams that have occupied the target channel before the burst service data transmission, and to establish alternative transmission paths for them to maintain data transmission, according to the spectrum phase scheduling order.

[0074] The transmission module 204 for the data source node, relay node, and target node is used to complete the coordinated transmission of bursty service data on the corresponding target channel according to the spectrum phase scheduling order.

[0075] It should be noted that, Figure 2The fault detection module 201 and the spectrum phase scheduling order generation module 202 are modules for the data source node, while the channel adjustment module 203 and the transmission module 204 are modules for the data source node, relay node, and target node. Generally, during a burst data transmission process, there is only one fault detection module 201 and spectrum phase scheduling order generation module 202, which belongs to the data source node, while the channel adjustment module 203 and the transmission module 204 are modules for the data source node, relay node, and target node.

[0076] Optionally, the phase-frequency coupling relationship is dynamically obtained through data learning, specifically including:

[0077] During the normal transmission of periodic services or probe signals, the node records its own communication quality indicators on each subcarrier of HPLC and each channel of HRF.

[0078] The node associates the communication quality index with the phase line identifier it is on and reports it to the concentrator;

[0079] The concentrator aggregates and statistically analyzes the communication quality indicators of each frequency under different phase lines, and generates and distributes the phase line-frequency coupling relationship.

[0080] Optionally, each node may also include a spectrum lending record generation module;

[0081] The lending record generation module is used to generate spectrum lending records and upload them to the concentrator after the data source node, relay node and target node have completed the transmission of bursty business data. The concentrator then performs resource compensation for the affected periodic business data streams in subsequent network scheduling.

[0082] Optionally, the coordinated transmission specifically includes:

[0083] Each transmission module 204 independently calculates its own data transmission, forwarding, or reception time based on the spectrum phase scheduling command, and performs corresponding operations on the corresponding target channel at the corresponding time, thereby realizing distributed precise synchronous transmission without signaling interaction.

[0084] Optionally, channel replanning adopts a chain migration, which is as follows: the data source node or concentrator generates a migration instruction and transmits it sequentially along the transmission path of the affected periodic service data stream, guiding the nodes on the path to switch to the new channel in turn.

[0085] This invention integrates the physical characteristics of power grid frequency synchronization and phase-line coupling, and transforms the reactive transmission of bursty data into proactive coordination through the synergistic effect of phase-line waveguide priority and spectrum phase scheduling. This achieves microsecond-level precise synchronous transmission of bursty services, while ensuring zero-perceptible switching of periodic services through forward-looking chain migration, completely avoiding network congestion. Furthermore, it guarantees the long-term fairness of network resources through a spectrum lending mechanism, fundamentally resolving the core contradiction in power communication where speed and order are mutually exclusive.

[0086] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0087] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0088] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A data transmission method for a dual-mode communication module self-organizing network based on the physical characteristics of a power grid, characterized in that, The method, applied to a dual-mode self-organizing network combining power line carrier communication (HPLC) and high-speed wireless communication (HRF), includes: Step S1: When a node in the dual-mode self-organizing network detects a burst service that meets preset fault electrical characteristics, the node is identified as a data source node. The data source node determines the faulty phase line based on the first fault electrical characteristics corresponding to the burst service, and selects a target channel matching the faulty phase line according to the pre-stored phase line-frequency coupling relationship. The data source node determines the transmission path of the burst service based on the target channel and the location of the target node. The phase line-frequency coupling relationship is a correspondence used to characterize the inherent signal transmission efficiency between different phases of the power line and different communication frequencies, and the transmission path is a combination of the target channel between the data source node, the relay node, and the target node. Step S2: The data source node uses the first power grid frequency phase at the fault trigger time corresponding to the sudden service as the network-wide synchronization reference to generate and broadcast a spectrum phase scheduling order; wherein, the spectrum phase scheduling order includes the first power grid frequency phase, the transmission time of the sudden service, and the transmission path, so as to enable each node on the transmission path to determine its precise action time on the target channel. Step S3: The data source node, the relay node, and the target node, according to the spectrum phase scheduling order, initiate channel replanning for the periodic service data stream that has occupied the target channel before the burst service data transmission, and establish an alternative transmission path for it to maintain data transmission. Step S4: The data source node, the relay node, and the target node complete the coordinated transmission of the bursty service data on the corresponding target channel according to the spectrum phase scheduling order.

2. The data transmission method for a dual-mode communication module self-organizing network based on the physical characteristics of the power grid according to claim 1, characterized in that, The phase-frequency coupling relationship is dynamically obtained through data learning, specifically including: During the normal transmission of periodic services or detection signals, the node records its own communication quality indicators on each subcarrier of HPLC and each channel of HRF. The node associates the communication quality index with the phase line identifier it is on and reports it to the concentrator; The concentrator aggregates and statistically analyzes the communication quality indicators of each frequency under different phase lines, and generates and distributes the phase line-frequency coupling relationship.

3. The data transmission method for a dual-mode communication module self-organizing network based on the physical characteristics of the power grid according to claim 1, characterized in that, After step S4, the method further includes: After the bursty service data transmission is completed, the data source node, the relay node, and the target node generate a spectrum lending record and upload it to the concentrator, which then performs resource compensation for the affected periodic service data streams during subsequent network scheduling.

4. The data transmission method for a dual-mode communication module self-organizing network based on the physical characteristics of the power grid according to claim 1, characterized in that, The coordinated transmission of bursty service data in step S4 specifically refers to: Each node independently calculates its own data transmission, forwarding, or reception time based on the spectrum phase scheduling order, and performs corresponding operations on the corresponding target channel at the corresponding time, thereby realizing distributed precise synchronous transmission without signaling interaction.

5. The data transmission method for a dual-mode communication module self-organizing network based on the physical characteristics of the power grid according to claim 1, characterized in that, The channel replanning initiated in step S3 adopts a chain migration, specifically: the data source node or concentrator generates a migration instruction and transmits it sequentially along the transmission path of the affected periodic service data stream, guiding the nodes on the path to switch to the new channel in turn.

6. A dual-mode communication module self-organizing network data transmission system based on the physical characteristics of a power grid, characterized in that, The system is applied to a dual-mode self-organizing network of power line carrier communication (HPLC) and high-speed wireless communication (HRF). The system includes various nodes of the dual-mode self-organizing network, and each node includes a fault detection module, a spectrum phase scheduling order generation module, a channel adjustment module, and a transmission module. The fault detection module is used to identify a node as a data source node when the fault detection module of a node in the dual-mode self-organizing network detects a sudden service that meets the preset fault electrical characteristics. The fault detection module of the data source node determines the faulty phase line based on the first fault electrical characteristics corresponding to the sudden service, and selects the target channel that matches the faulty phase line according to the pre-stored phase line-frequency coupling relationship. The data source node determines the transmission path of the bursty service based on the target channel and the location of the target node; wherein, the phase-frequency coupling relationship is a correspondence used to characterize the inherent signal transmission efficiency between different phases of the power line and different communication frequencies, and the transmission path is a combination of the target channel between the data source node, the relay node, and the target node; The spectrum phase scheduling order generation module of the data source node is used to generate and broadcast a spectrum phase scheduling order based on the first power grid frequency phase at the fault triggering time corresponding to the sudden service as the network-wide synchronization reference; wherein, the spectrum phase scheduling order includes the first power grid frequency phase, the transmission time of the sudden service and the transmission path, and is used to enable each node on the transmission path to determine its precise action time on the target channel. The channel adjustment modules of the data source node, the relay node, and the target node are used to initiate channel replanning and establish alternative transmission paths for periodic service data streams that have occupied the target channel before the burst service data transmission, in accordance with the spectrum phase scheduling order, so as to maintain data transmission. The transmission modules of the data source node, the relay node, and the target node are used to complete the coordinated transmission of the bursty service data on the corresponding target channel according to the spectrum phase scheduling order.

7. The dual-mode communication module self-organizing network data transmission system based on power grid physical characteristics according to claim 6, characterized in that, The phase-frequency coupling relationship is dynamically obtained through data learning, specifically including: During the normal transmission of periodic services or detection signals, the node records its own communication quality indicators on each subcarrier of HPLC and each channel of HRF. The node associates the communication quality index with the phase line identifier it is on and reports it to the concentrator; The concentrator aggregates and statistically analyzes the communication quality indicators of each frequency under different phase lines, and generates and distributes the phase line-frequency coupling relationship.

8. The dual-mode communication module self-organizing network data transmission system based on power grid physical characteristics according to claim 6, characterized in that, Each node also includes a spectrum lending record generation module; The lending record generation module is used to generate spectrum lending records and upload them to the concentrator after the data source node, the relay node and the target node have completed the transmission of the bursty service data. The concentrator then performs resource compensation for the affected periodic service data stream in subsequent network scheduling.

9. The dual-mode communication module self-organizing network data transmission system based on power grid physical characteristics according to claim 6, characterized in that, The coordinated transmission specifically refers to: Each of the transmission modules independently calculates its own data transmission, forwarding, or reception time based on the spectrum phase scheduling order, and performs corresponding operations on the corresponding target channel at the corresponding time, thereby realizing distributed precise synchronous transmission without signaling interaction.

10. The dual-mode communication module self-organizing network data transmission system based on power grid physical characteristics according to claim 6, characterized in that, The channel replanning adopts a chain migration, specifically: the data source node or concentrator generates a migration instruction and transmits it sequentially along the transmission path of the affected periodic service data stream, guiding the nodes on the path to switch to the new channel in turn.

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