A method for repeater colony networking communication

Abstract

This invention relates to the field of mobile communication network operation and maintenance technology, specifically a method for repeater swarm network communication, including S1: topology initialization and solidification; S2: normal low-power operation; S3: real-time fault monitoring and classification; S4: fault data packet encapsulation; S5: optimal relay node selection; S6: multi-hop relay forwarding of data; S7: fault analysis and alarm output. This invention constructs a dual-link heterogeneous network architecture with a main radio frequency service link and a 315MHz low-frequency auxiliary link. The instantaneous power of the auxiliary communication is controlled within 10dBm to avoid interference with the main service. Under normal circumstances, the auxiliary link sleeps to reduce power consumption, while only the main link operates. This achieves remote link disconnection without offline operation and autonomous and accurate fault reporting, effectively improving the stability and intelligent operation and maintenance level of the repeater cluster network.

Description

Technical Field

[0001] This invention relates to a method for repeater swarm network communication, and particularly to a method for repeater swarm network communication, belonging to the field of mobile communication network operation and maintenance technology. Background Technology

[0002] Mobile communication repeaters are key supporting equipment for deep coverage of wireless networks. They can amplify, forward and extend the coverage of base station signals. They are widely used in areas where base station signals are difficult to cover, such as urban residential areas, commercial complexes, underground tunnels, industrial parks and mountainous areas. The current mainstream repeater network adopts a star topology architecture with a single near-end and multiple far-ends. The near-end equipment connects to the operator's core communication network, and each far-end equipment independently establishes a radio frequency communication link with the near-end equipment to achieve regional signal reinforcement and coverage extension.

[0003] The existing network only supports vertical direct communication between the remote and near ends. There is no horizontal communication or relay forwarding capability between remote devices. In practical applications, due to factors such as building obstruction, electromagnetic interference, equipment aging, and poor line contact, the main radio frequency link between the remote and near ends is prone to signal attenuation, data packet loss, or even complete disconnection. When the main link is interrupted, the faulty remote end cannot interact with the near end, cannot report equipment operating parameters and fault information, and the operation and maintenance backend cannot detect equipment abnormalities, forming an operation and maintenance black box, and potential faults cannot be detected in time.

[0004] Therefore, there is an urgent need for a method for repeater swarm networking communication to solve the above-mentioned problems. Summary of the Invention

[0005] The purpose of this invention is to provide a method for repeater swarm networking communication to solve the problems in the existing technology of repeater star networking mode, such as no reporting of connection loss after remote main link is disconnected, difficulty in fault location, high manual operation and maintenance costs, and low troubleshooting efficiency.

[0006] To achieve the above objectives, the main technical solution adopted by the present invention includes: a method for repeater swarm networking communication, comprising a networking system, wherein the networking system includes a near-end repeater device and a plurality of distributed far-end repeater devices; The near-end repeater and each far-end repeater integrate a main radio frequency communication module and a 315M low-frequency auxiliary communication module. The instantaneous transmit power of the 315M low-frequency auxiliary communication module is limited to 10dBm or less. The communication method includes the following steps: S1: Topology Initialization and Fixing: The system initializes the network, completes the registration of unique IDs, installation location calibration, and communication parameter matching and binding of all remote repeater devices, generates a global device topology list containing device location, communication distance, and neighbor relationships, and synchronously stores it in the local cache of the near-end repeater devices and each remote repeater device, thus completing the network topology fixation; S2: Normal low-power operation: During the normal communication operation phase, each remote repeater device establishes a star-shaped dedicated communication link with the near-end repeater device through the main radio frequency communication module to complete the forwarding of mobile communication signals, data transmission of services, and periodic uploading of routine operation and maintenance parameters. The 315M low-frequency auxiliary communication module remains in an ultra-low power sleep state. S3: Real-time fault monitoring and classification: Each remote repeater device collects local operating parameters and main link communication parameters in real time, continuously monitors the main radio frequency link connectivity and device operating status, and automatically identifies the current fault type and fault level through a preset fault classification judgment algorithm. S4: Fault Data Packet Encapsulation: When the remote repeater device determines that it has a hardware abnormality, operational failure or main radio frequency link communication interruption, it actively wakes up the local 315M low frequency auxiliary communication module and encapsulates and generates a standardized fault reporting data packet carrying the device's unique ID, exclusive fault code, real-time operating parameters and fault occurrence timestamp. S5: Optimal relay node selection: After being woken up, the remote device actively scans the surrounding remote nodes in normal working condition within the network range based on the swarm neighbor discovery algorithm. It selects the optimal relay forwarding node by combining the node communication quality and operating status, and broadcasts the fault reporting data packet instantaneously through the 315M low frequency channel. S6: Multi-hop relay forwarding of data: After receiving the faulty data packet, the normal remote device performs integrity verification and deduplication filtering on the data packet, and plans the optimal transmission path toward the near-end device according to the global device topology list. The faulty data is forwarded level by level through the multi-hop relay forwarding mechanism until the faulty data packet is completely summarized to the near-end repeater device. S7: Fault Analysis and Alarm Output: The near-end repeater equipment analyzes and verifies all received fault data, matches fault locations, and judges fault types and levels, generates standardized fault operation and maintenance information, and uploads it to the operation and maintenance backend to complete real-time fault alarms and status visualization.

[0007] Preferably, the fault classification algorithm described in S3 is as follows: The system synchronously collects five core operating parameters from remote devices: main link signal-to-noise ratio, RF signal attenuation, device operating voltage, RF module operating temperature, and service data packet loss rate. It also pre-sets corresponding hardware fault thresholds, signal interference thresholds, and building obstruction disconnection thresholds. Through a multi-dimensional parameter weighted scoring mechanism, the system quantitatively evaluates the device's operating status and classifies device faults into four levels: Level 1 hardware fault, Level 2 signal interference fault, Level 3 link obstruction fault, and Level 4 temporary link disconnection fault. A unique fault code is generated based on the fault level.

[0008] Preferably, the bee colony neighbor discovery algorithm described in S5 is as follows: After the faulty remote device wakes up the 315M low-frequency auxiliary communication module, it broadcasts neighbor node probe frames and receives response frames returned by surrounding remote devices. It extracts three core parameters contained in the response frames: node received signal strength, device online working status, and historical hop level. Through weighted calculation, it obtains the optimal score for each candidate node and selects the remote device with the highest score and normal working status as the optimal relay forwarding node.

[0009] Preferably, the 315M low-frequency auxiliary communication module adopts a working mechanism of instantaneous wake-up, short-term transmission, and immediate sleep upon transmission timeout. The complete transmission time of a single fault data is controlled within 200ms, and it remains in sleep mode during non-fault reporting periods to minimize device power consumption and channel occupancy interference.

[0010] Preferably, the multi-hop relay forwarding mechanism described in S6 specifically includes: The remote device receiving the faulty data packet first verifies the integrity of the data packet frame header and check bit, eliminates redundant data packets that are repeatedly transmitted, plans the optimal uplink forwarding path based on the global topology list stored locally, and forwards the data packet to the near-end device level by level. The maximum number of hop levels is set to no more than 8, which effectively avoids data loop transmission, channel congestion and data delay accumulation problems.

[0011] Preferably, the multi-dimensional parameter weighted scoring mechanism is pre-configured with fixed weight coefficients: Signal attenuation value weighted at 0.4, data packet loss rate weighted at 0.3, equipment operating temperature weighted at 0.15, and operating voltage weighted at 0.15. The deviation between the collected parameters and the corresponding threshold is used to quantify and calculate the individual score. The weighted sum is then used to obtain the overall fault score of the equipment. Based on the preset score range, the corresponding fault level and exclusive fault code are matched.

[0012] Preferably, the formula for calculating the node's preferred score is: Where S is the node optimization score, RSSI is the real-time received signal strength value of the neighboring node, Status is the online normal working status coefficient of the neighboring device, Hop is the number of hop levels of the neighboring node relative to the near-end device; , , and are preset fixed weighting coefficients, with values ​​of 0.5, 0.3, and 0.2 respectively.

[0013] Preferably, in step S7, after the near-end repeater equipment completes fault data parsing and verification, it accurately locates the actual installation location of the faulty remote equipment by combining the pre-stored global equipment topology list, matches the corresponding fault level and fault type, and automatically generates a visual fault operation and maintenance report, supporting real-time pop-up alarms in the operation and maintenance background, real-time storage of fault data, and historical fault record traceability query.

[0014] Preferably, when multiple remote devices in the network system fail simultaneously, each faulty remote device independently completes the tasks of neighbor node scanning, optimal node selection, and fault data forwarding. The near-end device classifies, integrates, deduplicates, sorts, and uniformly parses the fault data uploaded in parallel from multiple sources, and completes the background reporting and alarm display of fault information for multiple devices in batches.

[0015] Preferably, the main radio frequency communication link serves as the main service link of the networking system, undertaking the daily mobile communication signal coverage, service data transmission, and routine maintenance data upload under normal equipment conditions. The 315M low-frequency auxiliary communication link serves as an emergency backup link, activated only when the main link of the remote device is abnormal or the device fails and disconnects. It is used solely for fault data reporting. The dual-link frequency bands are independent and physically isolated, ensuring no interference between them throughout the entire process and guaranteeing the continuous and stable operation of the main communication service.

[0016] This invention has at least the following beneficial effects: 1. This invention innovatively constructs a dual-link heterogeneous networking architecture with a main radio frequency service link and a 315M low-frequency auxiliary link, adding lateral multi-hop relay forwarding capability for remote devices. Through a dual-link isolation operation mechanism with the main link working normally and the auxiliary link as a backup in case of failure, it completely solves the technical problem of devices going completely offline and potential faults being undetectable after the traditional network link is interrupted. It truly achieves the core operation and maintenance effect of repeater equipment not going offline when the link is broken and faults being traceable, thus fundamentally making up for the structural defects of the existing networking architecture.

[0017] 2. Through a self-developed multi-dimensional parameter weighted fault classification algorithm and a bee colony optimal multi-hop forwarding mechanism, it possesses strong technical innovation and scenario adaptability. By collecting and quantifying multi-dimensional device operation and link communication parameters, it can accurately distinguish four different fault scenarios: hardware failure, signal interference, link obstruction, and temporary link loss, and generate exclusive fault codes. This overcomes the limitations of traditional manual experience-based judgment and significantly improves fault identification accuracy and troubleshooting efficiency. At the same time, it intelligently selects the optimal relay forwarding node and limits the maximum forwarding level, effectively avoiding data loops, channel congestion, and transmission delays. This ensures stable transmission of fault data under complex conditions of multiple obstructions and strong interference, solving the technical shortcomings of traditional technologies such as ambiguous fault identification and poor data transmission reliability.

[0018] 3. Adopting a low-power instantaneous communication and ultra-low-power sleep adaptation mechanism, it takes into account the practicality, economy and system operation stability of the technology, further enhancing the innovation of technology and the value of engineering promotion. It controls the instantaneous power of 315M auxiliary communication to within 10dBm, physically isolates it from the main radio frequency band, and ensures no main service interference throughout the process, thus guaranteeing wireless network signal coverage and data transmission quality. At the same time, it adopts a short-time transmission and timeout sleep working mode, which greatly reduces the power consumption of the equipment ineffective operation. It does not require modification of the original equipment power supply structure, resulting in low deployment cost and wide adaptability. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This is a flowchart of the overall method steps of the present invention. Figure 2 This is a schematic diagram of the fault classification and determination algorithm of the present invention. Detailed Implementation

[0020] The following will describe in detail the implementation of this application with reference to the accompanying drawings and embodiments, so that the implementation process of how this application uses technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly.

[0021] like Figures 1-2 As shown in the figure, this embodiment provides a method for repeater swarm networking communication. The networking system includes a near-end repeater device and several distributed remote repeater devices. Both the near-end repeater equipment and each far-end repeater equipment integrate a main radio frequency communication module and a 315M low-frequency auxiliary communication module. The instantaneous transmit power of the 315M low-frequency auxiliary communication module is limited to 10dBm or less. The communication method includes the following steps: S1: Topology Initialization and Fixing: The system initializes the network, completes the registration of unique IDs, installation location calibration, and communication parameter matching and binding of all remote repeater devices, generates a global device topology list containing device location, communication distance, and neighbor relationships, and synchronously stores it in the local cache of the near-end repeater devices and each remote repeater device, thus completing the network topology fixation; S2: Normal low-power operation: During the normal communication operation phase, each remote repeater device establishes a star-shaped dedicated communication link with the near-end repeater device through the main radio frequency communication module to complete the forwarding of mobile communication signals, data transmission of services, and periodic uploading of routine operation and maintenance parameters. The 315M low-frequency auxiliary communication module remains in an ultra-low power sleep state. S3: Real-time Fault Monitoring and Classification: Each remote repeater device collects local operating parameters and main link communication parameters in real time, continuously monitors the main radio frequency link connectivity and device operating status, and automatically identifies the current fault type and fault level through a preset fault classification algorithm; the fault classification algorithm in S3 is as follows: The system synchronously collects five core operating parameters from remote devices: main link signal-to-noise ratio, RF signal attenuation, device operating voltage, RF module operating temperature, and service data packet loss rate. Hardware fault thresholds, signal interference thresholds, and building obstruction disconnection thresholds are pre-set. A multi-dimensional parameter weighted scoring mechanism is used to quantitatively evaluate the device's operating status, classifying device faults into four levels: Level 1 hardware fault, Level 2 signal interference fault, Level 3 link obstruction fault, and Level 4 temporary link disconnection fault. A unique fault code is generated for each fault level. The system also synchronously collects main link signal-to-noise ratio, RF attenuation, operating voltage, module temperature, and service packet loss rate. Five categories of indicators are set, with thresholds for hardware, interference, obstruction, and link loss. A multi-dimensional weighted scoring system quantifies equipment operating status, classifying faults into four levels based on the total score. Each level is bound to an independent fault code. This approach abandons the traditional single-parameter, coarse-grained judgment mode, simultaneously collecting multi-dimensional indicators to cover all fault causes related to the link, hardware, and environment. The hierarchical fault levels paired with unique fault codes allow the maintenance system to directly distinguish between hardware damage, signal interference, wall obstruction, and temporary link loss, accurately guiding the direction of repair. Quantitative scoring eliminates the subjectivity of manual judgment, significantly improving fault identification accuracy and preventing minor hidden dangers from being overlooked or meaningless faults from frequently triggering alarms. Furthermore, a multi-dimensional parameter weighted scoring mechanism is implemented, with fixed weight coefficients pre-configured: Signal attenuation value weighted at 0.4, data packet loss rate weighted at 0.3, equipment operating temperature weighted at 0.15, and operating voltage weighted at 0.15. Individual scores are quantified by collecting deviations between parameters and corresponding thresholds in real time, and then weighted and summed to obtain the overall fault score of the equipment. Based on preset score ranges, corresponding fault levels and unique fault codes are matched, with fixed weighting coefficients: signal attenuation 0.4, packet loss rate 0.3, temperature 0.15, and voltage 0.15. Individual scores are calculated using deviations between real-time parameters and thresholds, and then weighted and summed to obtain the total score. Corresponding fault levels and unique fault codes are matched according to score ranges. Weighting is used to align with the core causes of repeater faults, with link attenuation and packet loss as the primary evaluation dimensions, and hardware temperature and pressure as auxiliary corrections. The scoring logic aligns with the actual operating conditions of mobile communication coverage. A unified quantification standard ensures consistent fault judgment criteria for remote equipment of different models and in different scenarios, making backend fault statistics and horizontal comparisons of equipment health more accurate and facilitating batch operation and maintenance analysis. S4: Fault Data Packet Encapsulation: When the remote repeater device determines that it has a hardware abnormality, operational failure or main radio frequency link communication interruption, it actively wakes up the local 315M low frequency auxiliary communication module and encapsulates and generates a standardized fault reporting data packet carrying the device's unique ID, exclusive fault code, real-time operating parameters and fault occurrence timestamp. S5: Optimal Relay Node Selection: After being woken up, the remote device actively scans for normally functioning surrounding remote nodes within the network range based on the swarm neighbor discovery algorithm. Combining node communication quality and operational status, it selects the optimal relay forwarding node and instantaneously broadcasts fault reporting data packets via a 315MHz low-frequency channel. The swarm neighbor discovery algorithm specifically includes: After a faulty remote device wakes up the 315M low-frequency auxiliary communication module, it broadcasts neighbor node probe frames and receives response frames from surrounding remote devices. It extracts three core parameters from the response frames: node received signal strength, device online status, and historical hop level. Through weighted calculation, it obtains the optimal score for each candidate node and selects the remote device with the highest score and normal working status as the optimal relay forwarding node. After the faulty device wakes up the 315 module, it broadcasts probe frames and receives response frames from surrounding remote devices. It extracts three types of data: RSSI signal strength, device online status, and hop level. It substitutes these into the weighted formula to calculate the node optimal score and selects the normal device with the highest score as the data relay. Based on the distributed neighbor discovery mechanism of bee colony, it can autonomously find the optimal forwarding path without unified scheduling at the near end; at the same time, it takes into account three dimensions: signal quality, equipment normality, and hop count distance, and prioritizes the selection of relays with strong signals and fewer layers to reduce transmission delay and packet loss; with distributed autonomous routing, the device can automatically replace the backup node when a single relay fails, and the fault tolerance capability of network transmission is stronger. Furthermore, the formula for calculating the node selection score is as follows: Where S is the node selection score, RSSI is the real-time received signal strength of the neighboring node, Status is the online normal working status coefficient of the neighboring device, and Hop is the number of hop levels of the neighboring node relative to the near-end device; , , and are preset fixed weighting coefficients with values ​​of 0.5, 0.3, and 0.2, respectively, which assign fixed weights to signal strength, device online status, and hop level. Positive indicators are added points, and hop count indicators are deducted points. The higher the comprehensive score, the better the relay forwarding quality. A formula is used to achieve multi-dimensional quantitative selection. The weights are adapted to the coverage scenario, prioritizing wireless reception quality, then considering device availability, and suppressing the latency caused by multi-layer hops. Numerical comparison does not require manual intervention. The device can autonomously and quickly complete the relay selection. The swarm distributed routing decision speed is fast, and the time for reporting fault data packets is greatly shortened. Furthermore, the 315MHz low-frequency auxiliary communication module adopts an instantaneous wake-up, short-time transmission, and immediate sleep mode upon transmission timeout working mechanism. The complete transmission time of a single fault data is controlled within 200ms, and it remains in sleep mode during non-fault reporting periods, minimizing device power consumption and channel occupancy interference. The 315MHz low-frequency module uses a triggered short-time working logic, waking up only for a moment upon fault reporting, with a single complete transmission controlled within 200ms. It immediately enters sleep mode after transmission ends or timeout, with no radio frequency transmission at other times. This short-time instantaneous transmission mechanism greatly reduces the average power consumption of the device, and long-term deployment can significantly reduce the power supply load. With the dual constraints of 10dBm low transmit power and short-time operation, the 315MHz low-frequency module will not generate noise interference to the main radio frequency mobile communication service. There is no channel occupancy during non-fault periods, avoiding continuous broadcasting of auxiliary links that causes wireless channel congestion and improving the overall network spectrum utilization. Furthermore, the main radio frequency communication link serves as the main service link of the networking system, undertaking the daily mobile communication signal coverage, service data transmission, and routine maintenance data upload under normal equipment conditions. The 315M low-frequency auxiliary communication link serves as an emergency backup link, which is only activated when the main link of the remote equipment is abnormal or the equipment fails and disconnects. It is used only for fault data reporting. The dual link frequency bands are independent and physically isolated, and do not interfere with each other throughout the process, ensuring the continuous and stable operation of the main communication service. The main RF star link serves as a permanent service channel, carrying daily signal amplification, coverage transmission, and periodic routine maintenance reporting. The 315MHz low-frequency link is physically and frequency-isolated, only temporarily activated when the main link is disconnected or equipment fails, specifically for transmitting fault alarm data. The two links do not share channels and operate independently with physical isolation. Auxiliary communication will not pollute the main service RF signal, completely eliminating interference with voice calls and internet access. Normally, only the main link operates to save power, while the low-frequency link serves as a backup communication channel in case of failure, solving the fatal flaw of traditional single-link disconnection. The two sets of links have clear division of labor, and services and alarms do not compete for resources, ensuring network stability and service continuity simultaneously. S6: Multi-hop relay forwarding of data: Upon receiving a faulty data packet, the normal remote device performs integrity verification and deduplication filtering. Based on the global device topology list, it plans the optimal transmission path towards the near-end device and forwards the faulty data step-by-step through a multi-hop relay forwarding mechanism until the faulty data packet is completely aggregated and delivered to the near-end repeater device. Specifically, the multi-hop relay forwarding mechanism includes: The remote device receiving the faulty data packet first verifies the integrity of the packet frame header and checksum, discards redundant data packets that are repeatedly transmitted, and plans the optimal uplink forwarding path based on the locally stored global topology list. It then hops and forwards the packet level by level towards the near-end device, setting the maximum hop level to no more than 8 levels to effectively avoid data loop transmission, channel congestion, and data delay accumulation. Upon receiving the faulty packet, the relay remote device first verifies the frame header and checksum, discarding duplicate and redundant data packets. It then reads the local global topology table to plan the optimal uplink path towards the near-end device, forwarding the packet level by level with multiple hops, strictly limiting the maximum hop level to 8 levels. It employs packet verification and deduplication filtering to prevent duplicate data generated by multiple nodes reporting in parallel, reducing the parsing pressure on the near-end device. The topology table pre-plans the path to prevent data packets from looping between multiple nodes. The 8-hop limit controls transmission latency, avoiding long-term accumulation and delayed push of fault information, ensuring real-time alarm performance, and preventing channel congestion caused by unlimited forwarding. S7: Fault Analysis and Alarm Output: The near-end repeater device analyzes and verifies all received fault data, matches fault locations, and assesses fault types and levels. It generates standardized fault maintenance information and uploads it to the maintenance backend, enabling real-time fault alarms and visual status display. Specifically, after completing fault data analysis and verification, the near-end repeater device uses a pre-stored global device topology list to accurately locate the actual installation location of the faulty remote device, matches the corresponding fault level and type, and automatically generates a visual fault maintenance report. This supports real-time pop-up alarms in the maintenance backend, real-time storage of fault data, and historical fault records. The system records and traces fault data packets, performs parsing and verification upon receiving them at the near end, retrieves the pre-stored global topology table to match the actual installation location of the faulty device, and distinguishes the fault level based on the fault code. It automatically generates operation and maintenance reports, and the backend supports real-time pop-up alarms, full fault data storage, and historical backtracking queries. Relying on the previously fixed topology, it achieves accurate geographical location of faults, allowing operation and maintenance personnel to directly go to the fault location and troubleshoot each device across the entire network. It provides hierarchical and visual alarms to distinguish between minor and major faults, prioritizing push notifications for high-risk hardware faults. Complete fault logs are retained long-term, facilitating the statistics of device failure rates, analysis of regional obstruction and common aging issues, and supporting network optimization and transformation.

[0022] Furthermore, when multiple remote devices in the network system fail simultaneously, each faulty remote device independently completes neighbor node scanning, optimal node selection, and fault data forwarding. Near-end devices classify, integrate, deduplicate, sort, and uniformly parse the fault data uploaded in parallel from multiple sources, and batch complete the background reporting and alarm display of fault information for multiple devices. When multiple remote devices fail simultaneously, each device independently executes the neighbor scanning, relay selection, and data packet sending process. Near-end devices receive multiple fault data in parallel, automatically classify, deduplicate, sort, and uniformly parse the data, and batch push multiple alarm messages to the operation and maintenance backend. The swarm distributed architecture has parallel reporting capabilities, and there will be no reporting blockage when there is large-area obstruction in a single area or when a batch of devices are aging and failing. Near-end multi-channel data integration and deduplication avoid a large number of duplicate alarms flooding the screen. The alarm table is output in batches and uniformly, and operation and maintenance can centrally handle faults in the same area, which greatly improves the efficiency of batch fault handling.

[0023] The specific implementation steps are as follows: S1. Network Initialization and Topology Fixing: After the equipment installation and debugging are completed, the near-end device initiates global network registration, assigns a unique ID to each of the 8 remote devices, marks the installation location of each remote device, the straight-line distance from the near-end device, the association relationship with adjacent devices, and the basic communication parameters, generates a complete global device topology list, and simultaneously sends it to the local cache of the near-end device and all remote devices, completing the network topology fixation and providing data support for subsequent node selection and path planning.

[0024] S2. System Routine Communication Operation: Under normal operating conditions, all remote devices establish stable star-shaped communication with near-end devices through the main radio frequency link, continuously completing the amplification and coverage of the factory's wireless signal, business data transmission, and periodic uploading of routine maintenance parameters. The 315M low-frequency auxiliary communication modules of all remote devices remain in a dormant state, with no channel occupation and no invalid power output, and do not affect the quality of main business communication at all.

[0025] S3. Real-time Status Monitoring and Fault Classification: Each remote device collects five core parameters in real time: main link signal-to-noise ratio, RF signal attenuation value, service data packet loss rate, device operating temperature, and operating voltage. These parameters are weighted and scored according to preset weights: signal attenuation value 0.4, data packet loss rate 0.3, device operating temperature 0.15, and operating voltage 0.15. Fault status is determined based on the total score range: 90 points and above is classified as a Level 1 hardware fault; 70-89 points as a Level 2 signal interference fault; 50-69 points as a Level 3 link obstruction fault; 30-49 points as a Level 4 temporary link disconnection fault; and below 30 points indicates normal device operation. A unique fault code is generated for each fault level.

[0026] S4. Fault Triggering and Data Packet Encapsulation: In this embodiment, remote device No. 3 experiences a complete disconnection of its main radio frequency link due to obstruction by the workshop wall and excessive signal penetration loss. The device detects a 100% data packet loss rate on the main link and a signal attenuation value far exceeding the preset threshold, resulting in a comprehensive score of 58 points, which is determined to be a Level 3 link obstruction fault. The device immediately wakes up its local 315M low-frequency auxiliary communication module and automatically encapsulates and generates a standardized fault reporting data packet containing the unique ID of device No. 3, a Level 3 fault-specific code, a fault occurrence timestamp, and real-time operating parameters.

[0027] S5. Neighbor Node Scanning and Optimal Relay Selection: Remote device No. 3 broadcasts neighbor node detection frames through the 315M low-frequency channel and receives response frames from two online remote devices No. 2 and No. 4 in real time. It extracts the signal strength, working status, and hop level parameters of the two node devices respectively, and substitutes them into the node selection score formula S=0.5RSSI+0.3Status-0.2Hop for calculation. Finally, remote device No. 4, which has a higher score and more stable communication quality, is selected as the optimal relay forwarding node.

[0028] S6. Multi-hop relay data forwarding: After receiving the faulty data packet from device 3, remote device 4 first performs data frame integrity verification and duplicate data filtering. After confirming that the data packet is valid and error-free, it plans the optimal forwarding path toward the near-end device based on the locally stored global topology list. It then completes the two-stage hop forwarding through remote devices 4 and 6 in sequence, and finally transmits the faulty data packet completely and stably to the near-end device. The overall transmission time is 150ms, with no data loss, no redundant forwarding, and no channel congestion.

[0029] S7. Near-end data parsing and background alarm: After receiving fault data packets, the near-end device completes data parsing, verification and classification, matches the device's unique ID and topology list to locate the specific installation point of remote device No. 3, and determines the fault type as a link obstruction fault based on the fault code. It automatically generates a visual fault operation and maintenance report and uploads it to the operation and maintenance background. The background immediately triggers pop-up alarms and sound prompts, accurately displaying the location of the faulty device, the fault type and the time of the fault. Operation and maintenance personnel can conduct targeted on-site inspections without the need for full-area inspection.

[0030] S8. Fault Recovery and System Reset: When the obstruction environment is eliminated, the main radio frequency link signal of remote device No. 3 returns to normal, and the parameters return to the normal threshold range, the device automatically shuts down the 315M low-frequency auxiliary communication module, re-enters the sleep and power consumption reduction state, the system returns to the normal main link communication mode, the near-end device automatically clears the corresponding fault record, and the network status is reset.

[0031] Through the above steps, it is verified that the networking system of this invention can quickly and autonomously report faults after the remote main link is disconnected. The accuracy of fault location and fault type positioning can reach 100%. There is no main service interference throughout the process. The auxiliary communication sleep mechanism reduces the power consumption of the equipment by more than 90%, which greatly shortens the fault diagnosis and recovery cycle and effectively reduces the operation and maintenance cost of the factory repeater cluster. It has strong stability and practicality in complex distributed networking scenarios with multiple obstructions and interference.

[0032] The specification and claims use certain terms to refer to specific components. Those skilled in the art will understand that hardware manufacturers may use different names to refer to the same component. This specification and claims do not distinguish components based on differences in name, but rather on differences in function. The term "inclusion" used throughout the specification and claims is an open-ended term and should be interpreted as including but not limited to. "Generally speaking" refers to the ability of those skilled in the art to solve the technical problem and achieve the basic technical effect within an acceptable margin of error.

[0033] It should be noted that the terms "include," "contain," or any other variations thereof are intended to cover non-exclusive inclusion, such that a product or system that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a product or system. Without further limitations, the inclusion of a defined element by a statement does not exclude the presence of other identical elements in the product or system that includes that element.

[0034] The foregoing description illustrates and describes several preferred embodiments of the present invention. However, as previously stated, it should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the inventive concept described herein through the foregoing teachings or techniques or knowledge in related fields. Any modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A method for repeater swarm network communication, comprising a networking system, characterized in that: The networking system includes one near-end repeater and several distributed far-end repeater devices. The near-end repeater and each far-end repeater integrate a main radio frequency communication module and a 315M low-frequency auxiliary communication module. The instantaneous transmit power of the 315M low-frequency auxiliary communication module is limited to 10dBm or less. The communication method includes the following steps: S1: Topology Initialization and Fixing: The system initializes the network, completes the registration of unique IDs, installation location calibration, and communication parameter matching and binding for all remote repeater devices, generates a global device topology list containing device location, communication distance, and neighbor relationships, and synchronously stores it in the local cache of the near-end repeater devices and each remote repeater device, thus completing the network topology fixation; S2: Normal low-power operation: During the normal communication operation phase, each remote repeater device establishes a star-shaped dedicated communication link with the near-end repeater device through the main radio frequency communication module to complete the forwarding of mobile communication signals, data transmission of services, and periodic uploading of routine operation and maintenance parameters. The 315M low-frequency auxiliary communication module remains in an ultra-low power sleep state. S3: Real-time fault monitoring and classification: Each remote repeater device collects local operating parameters and main link communication parameters in real time, continuously monitors the main radio frequency link connectivity and device operating status, and automatically identifies the current fault type and fault level through a preset fault classification judgment algorithm. S4: Fault Data Packet Encapsulation: When the remote repeater device determines that it has a hardware abnormality, operational failure or main radio frequency link communication interruption, it actively wakes up the local 315M low frequency auxiliary communication module and encapsulates and generates a standardized fault reporting data packet carrying the device's unique ID, exclusive fault code, real-time operating parameters and fault occurrence timestamp. S5: Optimal relay node selection: After being woken up, the remote device actively scans the surrounding remote nodes in normal working condition within the network range based on the swarm neighbor discovery algorithm. It selects the optimal relay forwarding node by combining the node communication quality and operating status, and broadcasts the fault reporting data packet instantaneously through the 315M low frequency channel. S6: Multi-hop relay forwarding of data: After receiving the faulty data packet, the normal remote device performs integrity verification and deduplication filtering on the data packet, and plans the optimal transmission path toward the near-end device according to the global device topology list. The faulty data is forwarded level by level through the multi-hop relay forwarding mechanism until the faulty data packet is completely summarized to the near-end repeater device. S7: Fault Analysis and Alarm Output: The near-end repeater equipment analyzes and verifies all received fault data, matches fault locations, and judges fault types and levels, generates standardized fault operation and maintenance information, and uploads it to the operation and maintenance backend to complete real-time fault alarms and status visualization.

2. The method for repeater swarm networking communication according to claim 1, characterized in that: The fault classification algorithm described in S3 is as follows: The system synchronously collects five core operating parameters from remote devices: main link signal-to-noise ratio, RF signal attenuation, device operating voltage, RF module operating temperature, and service data packet loss rate. It also pre-sets corresponding hardware fault thresholds, signal interference thresholds, and building obstruction disconnection thresholds. Through a multi-dimensional parameter weighted scoring mechanism, the system quantitatively evaluates the device's operating status and classifies device faults into four levels: Level 1 hardware fault, Level 2 signal interference fault, Level 3 link obstruction fault, and Level 4 temporary link disconnection fault. A unique fault code is generated based on the fault level.

3. The method for repeater swarm networking communication according to claim 1, characterized in that: The bee colony neighbor discovery algorithm described in S5 is as follows: After the faulty remote device wakes up the 315M low-frequency auxiliary communication module, it broadcasts neighbor node probe frames and receives response frames returned by surrounding remote devices. It extracts three core parameters contained in the response frames: node received signal strength, device online working status, and historical hop level. Through weighted calculation, it obtains the optimal score for each candidate node and selects the remote device with the highest score and normal working status as the optimal relay forwarding node.

4. The method for repeater swarm networking communication according to claim 1, characterized in that: The 315M low-frequency auxiliary communication module adopts a working mechanism of instantaneous wake-up, short-term transmission, and immediate sleep upon transmission timeout. The complete transmission time of a single fault data is controlled within 200ms, and it remains in sleep mode during non-fault reporting periods to minimize device power consumption and channel occupancy interference.

5. The method for repeater swarm networking communication according to claim 1, characterized in that: The multi-hop relay forwarding mechanism described in S6 specifically includes: The remote device receiving the faulty data packet first verifies the integrity of the data packet frame header and check bit, eliminates redundant data packets that are repeatedly transmitted, plans the optimal uplink forwarding path based on the global topology list stored locally, and forwards the data packet to the near-end device level by level. The maximum number of hop levels is set to no more than 8, which effectively avoids data loop transmission, channel congestion and data delay accumulation problems.

6. The method for repeater swarm networking communication according to claim 2, characterized in that: The multi-dimensional parameter weighted scoring mechanism is pre-configured with fixed weight coefficients: Signal attenuation value weighted at 0.4, data packet loss rate weighted at 0.3, equipment operating temperature weighted at 0.15, and operating voltage weighted at 0.

15. The deviation between the collected parameters and the corresponding threshold is used to quantify and calculate the individual score. The weighted sum is then used to obtain the overall fault score of the equipment. Based on the preset score range, the corresponding fault level and exclusive fault code are matched.

7. The method for repeater swarm networking communication according to claim 3, characterized in that: The formula for calculating the node preference score is as follows: Where S is the node optimization score, RSSI is the real-time received signal strength value of the neighboring node, Status is the online normal working status coefficient of the neighboring device, Hop is the number of hop levels of the neighboring node relative to the near-end device; , , and are preset fixed weighting coefficients, with values ​​of 0.5, 0.3, and 0.2 respectively.

8. The method for repeater swarm networking communication according to claim 1, characterized in that: In S7, after the near-end repeater equipment completes fault data parsing and verification, it accurately locates the actual installation point of the faulty remote equipment by combining the pre-stored global equipment topology list, matches the corresponding fault level and fault type, and automatically generates a visual fault operation and maintenance report, supporting real-time pop-up alarms in the operation and maintenance background, real-time storage of fault data, and historical fault record traceability query.

9. A method for repeater cellular group networking communication according to claim 1, characterized in that: When multiple remote devices in the network system fail simultaneously, each faulty remote device independently completes the tasks of neighbor node scanning, optimal node selection, and fault data forwarding. The near-end devices classify, integrate, deduplicate, sort, and uniformly parse the fault data uploaded in parallel from multiple sources, and batch complete the background reporting and alarm display of fault information for multiple devices.

10. A method for repeater swarm networking communication according to claim 1, characterized in that: The main radio frequency communication link serves as the main service link of the networking system, undertaking the daily mobile communication signal coverage, service data transmission, and routine maintenance data upload under normal equipment conditions. The 315M low-frequency auxiliary communication link serves as an emergency backup link, activated only when the main link of the remote device is abnormal or the device fails and disconnects. It is used solely for fault data reporting. The dual-link frequency bands are independent and physically isolated, ensuring no interference between them throughout the entire process and guaranteeing the continuous and stable operation of the main communication service.

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