Method for improving area crosstalk of HPLC (High Performance Liquid Chromatography) and micropower wireless dual-mode communication

Abstract

The invention discloses a method for improving transformer area crosstalk of HPLC (High Performance Liquid Chromatography) and micropower wireless dual-mode communication, which comprises the following steps of: S1, electrifying an acquisition terminal equipment node, and aligning signal acquisition time windows of two communication modes; s2, combining the obtained dual-mode signal parameters with a preset transformer area topology database to generate feature vectors of multi-dimensional features; s3, training to generate a random forest model, inputting feature vectors of multi-dimensional features, dynamically calculating the affiliation weight value of the transformer area, and carrying out nonlinear weighted calculation on the feature vectors; and S4, on the basis of weight comparison and transformer area boundary node processing, correcting measurement errors by combining the transformer area attribution weight value with a preset impedance shielding compensation algorithm, generating a unique transformer area identifier, locking a networking relationship, and executing transformer area attribution judgment. According to the method, the wide coverage advantage of HPLC is reserved, meanwhile, the space attenuation characteristic of wireless communication is used for achieving accurate recognition of the transformer area boundary, and the installation and acquisition stability of the use and acquisition terminal equipment can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of device communication integration, and particularly to a collaborative networking method, device and storage medium for improving cross-station interference in a power distribution transformer area based on dual-mode communication of HPLC (High-Speed Power Line Carrier) and micro-power wireless Background Art

[0002] In the intelligent management of low-voltage distribution network power distribution transformer areas, HPLC (High-Speed Power Line Carrier) technology has become the mainstream communication method for node device networking due to advantages such as no need for additional wiring and strong penetration. However, due to the high-frequency coupling characteristics (2-12 MHz frequency band) of HPLC signals during transmission through power lines, a capacitive coupling path is easily formed between the low-voltage side lines of adjacent power distribution transformer area transformers, resulting in the spread of carrier signals across power distribution transformer area boundaries.

[0003] In recent years, micro-power wireless communication (470-510 MHz frequency band) has gradually formed a dual-mode complementary solution with HPLC as an auxiliary communication means due to its characteristics of fast spatial attenuation and strong directivity. However, the following problems still exist in the traditional single-HPLC networking process: (1) Cross-power distribution transformer area mis-networking: Nodes in adjacent power distribution transformer areas are mis-identified as members of this power distribution transformer area due to the high-frequency coupling effect; (2) Dynamic topology instability: In the scenario of immediate installation and immediate acquisition, newly added nodes will select the master node based on the instantaneous signal strength, resulting in repeated jumps in the membership relationship of nodes in adjacent power distribution transformer areas, seriously affecting the integrity of data acquisition; (3) Signal interference superposition: HPLC signals in multiple power distribution transformer areas form standing wave interference in the coupling line, causing signal strength fluctuations and further exacerbating misjudgment.

[0004] In addition, although existing dual-mode communication solutions attempt to combine wireless communication, they have the following limitations.

[0005] (1) Independent decision failure: The HPLC and wireless modules each execute networking decisions without establishing a cross-protocol layer collaboration mechanism, resulting in conflicts when the dual-mode signal strengths are both at critical values; (2) Boundary recognition blind area: Existing solutions rely on a single signal strength threshold (such as RSSI) to judge power distribution transformer area membership, without considering the shielding effect of power line impedance mutation points (such as the metal shell of the meter box) on wireless signals, resulting in an increase in the misjudgment rate of boundary nodes by more than 40%.

[0006] Therefore, this application specifically proposes a method for improving cross-station interference in HPLC and micro-power wireless dual-mode communication to solve the above technical problems. Summary of the Invention

[0007] The main objective of the present invention is to provide a method for improving crosstalk in power distribution areas with dual-mode communication of HPLC and micro-power wireless. By constructing a collaborative networking mechanism for dual-mode communication of HPLC and micro-power wireless, while retaining the wide coverage advantage of HPLC, the precise identification of the power distribution area boundary is achieved by utilizing the spatial attenuation characteristics of wireless communication, which can enhance the stability of immediate installation and acquisition of user-side acquisition terminal devices, so as to solve the technical problem of cross-power distribution area mis-networking caused by high-frequency signal crosstalk in the power distribution area nodes in the background technology.

[0008] The present invention adopts the following technical solutions to solve the above technical problems: A method for improving crosstalk in power distribution areas with dual-mode communication of HPLC and micro-power wireless, comprising: S1. After the node device of the user-side acquisition terminal device (such as a smart meter) is powered on, the built-in HPLC module and the micro-power wireless module are started simultaneously. The signal acquisition time windows of the two communication modes are ensured to be aligned through the hardware clock synchronization mechanism. Among them, when the node is powered on for the first time or the topology is updated, the HPLC carrier signal characteristics and the wireless signal spatial propagation parameters are synchronously obtained as the dual-mode signal parameters; S2. The obtained dual-mode signal parameters are combined with the preset power distribution area topology database to generate a feature vector with multi-dimensional features; S3. Based on the random forest model trained with historical networking data, the feature vector with multi-dimensional features is input through the machine learning model, and the power distribution area attribution weight value is dynamically calculated, and the feature vector is non-linearly weighted and calculated; S4. Based on the weight comparison and the processing of the power distribution area boundary nodes, the power distribution area attribution weight value is combined with the preset impedance shielding compensation algorithm to correct the measurement error, so as to generate a unique power distribution area identifier and lock the networking relationship, and perform the power distribution area attribution determination; During the operation of the steps S1-S4, the following steps are also synchronously executed: S5. Set the dual-mode instruction time stamp alignment mechanism to make the networking instructions received by the node in the heterogeneous channels be synchronously executed; S6. Adopt the local topology self-healing strategy to perform dynamic topology stability maintenance through periodic dual-mode heartbeat detection.

[0009] Preferably, the specific execution process in the step S1 is as follows: S11. HPLC signal acquisition: Near the zero crossing point of the power line power frequency cycle (±5ms window), the time-domain waveform of the carrier signal is acquired, and the signal-to-noise ratio (SNR), signal propagation delay and harmonic distortion rate are extracted; S12. Wireless signal acquisition: Within the synchronous time window, the micro-power wireless signal is received through the directional antenna array, and the received signal strength (RSSI), angle of arrival of the signal (AoA) and multipath fading characteristics are measured; S13. Noise suppression: Perform adaptive filtering on the HPLC signal to eliminate high-frequency power line noise (such as inverter interference); perform multipath cancellation processing on the wireless signal to improve the spatial positioning accuracy.

[0010] Preferably, the feature vectors of the multi-dimensional features in the S2 step include: HPLC feature group: Signal propagation path loss (calculated based on the impedance map of the substation area transformer), adjacent node hierarchical relationship (including the number of hops from concentrator → branch box → meter); Wireless feature group: Signal direction angle deviation (the angle between the connection line between the node and the master station and the normal line of the substation area boundary), shielding attenuation coefficient (predicted signal attenuation value caused by the metal shell according to the meter box material database); Dynamic environment parameters: Real-time power frequency load fluctuation index (reflecting the time-varying nature of the power line channel), spatial obstacle movement state (detected by the Doppler frequency shift of the wireless signal). Preferably, the specific generation process of the feature vectors of the multi-dimensional features in the S2 step includes: (1) Based on the impedance characteristics of the substation area transformer, establish an HPLC path loss attenuation model to generate the signal propagation path loss of the HPLC feature group. The HPLC path loss attenuation model is:

[0011] Where, represents the HPLC path loss attenuation model, is the wire distance from the node to the concentrator obtained through the topological map, is the frequency of the HPLC path loss, is the frequency attenuation index, is the transformer coupling loss; (2) For the electromagnetic shielding effect of the metal meter box, construct a compensation model to generate the shielding attenuation coefficient of the wireless feature group. The compensation model is:

[0012]

[0013] Where, is the wireless signal shielding attenuation amount, is the straight-line distance from the meter box shell to the wireless module antenna, is the wireless signal wavelength, is the material compensation coefficient pre-calibrated through ray tracing simulation, is the actually measured wireless signal reception strength, is the wireless signal reception strength after shielding compensation correction; (3) Introduce the power frequency load fluctuation index to quantify the channel time-varying index, which is used to reflect the impact of load switching on the channel in real time, so as to generate the real-time power frequency load fluctuation index in the dynamic environment parameters. There is:

[0014] Among them, is the effective value of the voltage of the th power frequency cycle extracted from the HPLC waveform, is the voltage reference value; When , it is determined that the channel enters the transient process, and the update of the weight decision model is suspended.

[0015] Preferably, the specific operation process of the S3 step includes: S31. Based on historical networking data, train M decision trees to form an ensemble model as the random forest model; S32. Perform feature normalization processing on the multi-dimensional feature vector generated in the S2 step, and use the processed vector as the input of the random forest model, where the multi-dimensional feature vector contains 12 key parameters in total; S33. The random forest model performs non-linear weighted calculation on the input feature vector, and there is:

[0016]

[0017] Among them, is the HPLC weight value, which is obtained through the voting results of decision trees, is the decision output result of the th tree; The HPLC weight value and the wireless weight value respectively represent the probability that the node belongs to the current substation area through the two communication methods, and are adaptively adjusted according to the real-time channel quality: automatically increase the proportion of the wireless weight, and vice versa increase the proportion of the HPLC weight. The formula for the adaptively adjusted weight is:

[0018] Among them, is the signal-to-noise ratio of the HPLC signal; When the HPLC channel deteriorates, according to the real-time channel quality (such as when the HPLC signal-to-noise ratio is lower than 40 dB), the proportion of the wireless weight is automatically increased step by step, and vice versa, the proportion of the HPLC weight is increased, so as to avoid misjudgment caused by the failure of a single channel.

[0019] Preferably, the specific operation process of performing substation area attribution determination and networking relationship locking in the S4 step includes: S41. Set the dual-mode weight joint criterion and perform the weight comparison operation. If the HPLC weight and the wireless weight are both higher than the preset threshold (such as and ), it is determined that the node belongs to this substation area. If the difference between the HPLC weight and the wireless weight exceeds the specified critical range (such as ), then start the secondary verification; S42. Apply spatial constraint conditions to the nodes at the junction of substation areas (such as and are both in the 0.4 - 0.6 interval), and force the arrival angle verification of wireless communication to be enabled. When the signal direction angle deviates from the main station antenna pointing by less than the specified threshold (generally 15°), confirm the attribution relationship; S43. After successful determination, write the encrypted substation area identification code into the node storage chip, and bind the node MAC address to the substation area ID on the concentrator side, establish the mapping relationship between the MAC address and the substation area ID, and the locking period is not less than 24 hours.

[0020] Preferably, the dual-mode weight joint criterion in step S41 includes:

[0021] Among them, is the criterion output, is the HPLC weight, is the wireless weight, is the HPLC weight preset threshold, is the wireless weight preset threshold; When the criterion output is 1, the node is confirmed to belong to this substation area; When the criterion output is 0, start the hierarchical decision-making mechanism: (a) Primary verification: If , it is determined as a boundary node and perform the direction angle verification; (b) Secondary verification: If and , it is determined as an HPLC-dominated node and ignore the wireless weight; (c) Tertiary verification: If the decisions are inconsistent for 3 consecutive times, trigger the manual review process.

[0022] Preferably, the spatial constraint condition in step S42 is:

[0023] Among them, is the arrival angle of the wireless signal estimated by the MUSIC algorithm; is the normal direction angle of the substation area boundary; Before enabling the arrival angle verification of wireless communication, the direction angle is smoothed by using quaternion Kalman filtering, and there is:

[0024] Among them, is the quaternion state estimate at time is the quaternion state estimate at time is the Kalman gain matrix at time is the original direction angle measurement value at time is the partial derivative matrix from quaternion to direction angle, which is used to linearize the non-linear observation model.

[0025] Preferably, the following specific operations are included during the execution of the S5 step: S51. Set the instruction synchronization mechanism: The concentrator broadcasts a network confirmation instruction through HPLC to embed a wireless channel reservation mark. After receiving the reservation mark on the wireless channel, delay and send a confirmation message containing the same time stamp to ensure that the time difference of the instructions received by the node in the dual-mode channel is less than the specified time difference (generally 1ms), and there is:

[0026] Among them, is the time deviation calibrated by the PTP protocol, is the optical fiber transmission distance, is the speed of light; S52. According to the pre-set substation area topology database in the S2 step, perform real-time dynamic compensation on the wireless signal strength reported by the node (such as +10dB compensation for the metal meter box node), and use the compensated signal strength for subsequent topology update. The compensation algorithm is:

[0027] Among them, is the received wireless signal strength after compensation, is the actually measured received wireless signal strength, is the wireless signal shielding attenuation amount, is the material compensation coefficient pre-calibrated through ray tracing simulation, is the relative displacement change amount between the node and the meter box monitored by the IMU sensor, is the initial installation distance; For nodes that still cannot meet the threshold after three consecutive compensations, mark them as suspected cross-substation nodes, suspend their networking requests, and initiate the manual review process.

[0028] Preferably, the specific operation process of step S6 includes: S61. Design a differential heartbeat interval strategy and perform periodic heartbeat detection: At the node, send heartbeat packets through the HPLC and wireless dual-mode channels. At the core node, send heartbeat packets every 15 minutes. If there is no response for two consecutive times on the specified channel, trigger the dynamic adjustment of the weight model. At the edge node, send heartbeat packets every 30 minutes. If there is no response for three consecutive times on the specified channel, trigger the dynamic adjustment of the weight model; S62. Self-healing of topological relationships: When it is detected that the change amount of the node signal characteristics mutates, that is, exceeds the specified threshold (such as a decrease in Wh exceeding 30%), automatically initiate local topological reconstruction, and only recalculate the weights of the affected nodes, rather than reconstructing the entire network; S63. Use the hash chain technology to ensure the integrity of topological data, and after each topological update, the concentrator and the node synchronously verify the hash value to prevent data tampering.

[0029] Preferably, the specific operation process of local topological reconstruction in step S62 includes: L1. With the faulty node as the center, nodes within a radius of meters are included in the reconstruction area; L2. Only re-execute steps S3 - S4 for the nodes within the reconstruction area.

[0030] On the other hand, the present invention also discloses a computer-readable storage medium storing a computer program, which when executed by a processor causes the processor to execute the steps of the above method.

[0031] On yet another hand, the present invention also discloses a computer device including a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, it causes the processor to execute the steps of the above method.

[0032] As can be seen from the above technical solutions, the present invention provides a method for improving the cross-talk of the HPLC and micro-power wireless dual-mode communication in the substation area. Compared with the prior art, the present invention has the following advantages: 1. By setting a multi-dimensional feature fusion and dynamic weight allocation mechanism in the networking decision model, the present invention can adaptively adjust the weights of the dual-mode communication by combining the HPLC signal-to-noise ratio, the arrival angle of the wireless signal, and the topological hierarchy features, thereby avoiding misjudgment caused by the failure of a single channel and reducing the misjudgment rate of substation area attribution.

[0033] 2. By setting a hardware clock synchronization mechanism at the physical layer, the present invention can forcibly align the HPLC and wireless signal acquisition time windows, eliminate asynchronous sampling errors, solve the problem of instantaneous fluctuations in HPLC signals caused by sudden load changes in the traditional solution, significantly improve the comparability of dual-mode data, and reduce the signal strength measurement error.

[0034] 3. By presetting a database of electricity meter box materials on the concentrator side, the present invention can dynamically compensate for the shielding attenuation of wireless signals by obstacles such as metal enclosures, restore the true signal strength, solve the problem of boundary misjudgment caused by ignoring the shielding effect, and thus reduce the misjudgment rate of boundary nodes.

[0035] 4. By setting a spatial constraint between the arrival angle of the wireless signal and the boundary normal direction in the determination of the substation area boundary, the present invention can increase the dimension of node position verification, suppress the limitation of a single signal strength criterion, eliminate the influence of signal crosstalk between adjacent substations, and reduce the cross-substation mis-networking rate.

[0036] 5. By setting an abnormal node local reconstruction mechanism in the dynamic maintenance, the present invention can recalculate the weights of only 10% of the abnormal nodes to reduce the full-network reconstruction time, shorten the system recovery time, achieve energy consumption reduction and topology stability improvement.

[0037] 6. By setting a precise time protocol synchronization mechanism in the transmission of networking instructions, the present invention can ensure strict synchronization of heterogeneous channel instructions, play a role in eliminating logical conflicts, avoid abnormal node responses caused by instruction transmission delays, and thus improve the success rate of networking instruction execution.

[0038] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Of course, any product implementing the present invention does not necessarily need to achieve all the above advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The schematic diagrams in the specification forming a part of this application are used to provide a further understanding of the present invention. The illustrative embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 It is a schematic diagram of the overall operation process of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0041] In the embodiment, refer in detail to Figure 1 .

[0042] A method for improving the crosstalk in the substation area of HPLC and micro-power wireless dual-mode communication proposed in the embodiment of the present invention can replace the traditional fixed-threshold criterion by constructing a three-dimensional feature vector of the HPLC signal signal-to-noise ratio (SNR), the angle of arrival (AoA) of the wireless signal, and the topological level, and dynamically calculating the substation area attribution weight value (W value) through a machine learning model. By designing a time slot alignment mechanism for HPLC and wireless communication, the synchronization of the signal acquisition time window of the dual-mode signal is realized at the physical layer (the deviation is <100 μs), which can eliminate the signal strength measurement error caused by asynchronous sampling. In addition, a wireless signal shielding attenuation prediction model can be established by presetting the substation area topology map and the meter box position database, and the measured value of the wireless signal strength of the boundary node can be dynamically compensated (the compensation amount can reach 8-12 dB). That is, by constructing a cooperative networking mechanism for HPLC and micro-power wireless dual-mode communication, while retaining the wide coverage advantage of HPLC, the accurate identification of the substation area boundary is realized by using the spatial attenuation characteristics of wireless communication.

[0043] As Figure 1 shown, the method specifically includes the following operation processes: S1. After the smart meter is powered on, the built-in HPLC module and the micro-power wireless module are started simultaneously, and the signal acquisition time windows of the two communication modes are aligned through the hardware clock synchronization mechanism. Among them, when the node is powered on for the first time or the topology is updated, the HPLC carrier signal characteristics and the wireless signal spatial propagation parameters are synchronously obtained as the dual-mode signal parameters.

[0044] The specific execution process in step S1 is as follows: S11. HPLC signal acquisition: Near the zero-crossing point of the power line power frequency cycle ±5 ms window, the time-domain waveform of the carrier signal is collected, and the signal-to-noise ratio (SNR), the signal propagation delay, and the harmonic distortion rate are extracted; S12. Wireless signal acquisition: Within the synchronous time window, the micro-power wireless signal is received through the directional antenna array, and the received signal strength (RSSI), the angle of arrival (AoA) of the signal, and the multipath fading characteristics are measured; It should be noted that at this time, a high-precision clock source (such as a TCXO temperature-compensated crystal oscillator) is integrated on the node circuit board, and the clock signals of the HPLC module and the wireless module are driven in the same source through the FPGA. The sampling time deviation between the two modules shall meet the following conditions:

[0045] wherein, is the sampling timestamp of the HPLC module, is the sampling timestamp of the wireless module, is the system sampling period (typical value 20ms, corresponding to the zero-crossing point of the power frequency period); And in actual engineering, a clock calibration algorithm is adopted to dynamically compensate for crystal oscillator drift. A time calibration pulse is sent by the concentrator every 5 minutes, and the node calculates the local clock deviation and updates the crystal oscillator control voltage to ensure that the long-term synchronization accuracy is better than ±10μs; S13. Noise suppression: Perform adaptive filtering on the HPLC signal to eliminate high-frequency power line noise (such as inverter interference); perform multipath cancellation processing on the wireless signal to improve the spatial positioning accuracy; Among them, for high-frequency power line noise (such as inverter and LED driver power supply interference), a second-order adaptive notch filter is designed, and there is:

[0046] wherein, is the interference center frequency to be suppressed (dynamic detection range 150Hz - 2kHz), is the pole convergence factor (when taking the value of 0.97, the convergence speed and stability can be taken into account), is the HPLC sampling interval (1ms, corresponding to a sampling rate of 1kHz), represents the complex frequency of the discrete system, corresponds to the unit delay (i.e., the delay of one sampling period), and is used to construct the difference equation of the filter; In specific implementation, the interference frequency components are detected in real time through the fast Fourier transform (FFT). When the noise power in a certain frequency band is detected to exceed the threshold (such as -50dBm), automatically adjust and update the filter coefficients to achieve dynamic noise suppression.

[0047] In addition, in a specific embodiment, to improve the wireless positioning accuracy, a multipath channel impulse response model can be further established, and there is:

[0048] Solve the optimal equalizer weight through the least square estimation:

[0049] Among them, is the attenuation coefficient of the th path (related to the obstacle material), is the total number of multipaths, is the unit impulse function, representing the time delay characteristic of the signal on the th path, is the th path phase offset, representing the phase change caused by the path propagation distance and the reflector characteristics, is the th path time delay relative to the direct path, is the received signal vector (dimension N×1), is the channel matrix (dimension N×K, including the cyclic shift structure with time delay ), is the equalizer weight vector (dimension K×1), is the regularization parameter; In the specific engineering implementation, the channel estimation is updated in a sliding window manner. The matrix inversion operation is performed every 256 symbols received (accelerated by Cholesky decomposition) to ensure the real-time requirement.

[0050] In summary, through the hardware clock synchronization mechanism, the acquisition time window of the dual-mode signal is forced to be aligned (with a deviation <100 μs), eliminating the signal strength measurement error caused by asynchronous sampling in the traditional scheme (such as the instantaneous fluctuation of the HPLC signal ±8 dB during load mutation), making the dual-mode data comparable.

[0051] S2. Combine the obtained dual-mode signal parameters with the pre-set substation area topology database to generate a feature vector with multi-dimensional features.

[0052] Among them, the feature vector with multi-dimensional features includes: HPLC feature group: signal propagation path loss (calculated based on the impedance map of the substation area transformer), adjacent node hierarchical relationship (including the hop count from concentrator → branch box → meter); Wireless feature group: signal direction angle deviation (the angle between the connection line of the node and the master station and the normal line of the substation area boundary), shielding attenuation coefficient (predicting the signal attenuation value caused by the metal shell according to the meter box material database); Dynamic environment parameters: real-time power frequency load fluctuation index (reflecting the time-varying nature of the power line channel), spatial obstacle movement state (detected by the Doppler frequency shift of the wireless signal).

[0053] Furthermore, the specific generation process of the feature vector with multi-dimensional features at this time includes: (1) Establish a substation area GIS topology database, store parameters such as the material (copper / aluminum), cross-sectional area, and insulation layer thickness of each section of wire, and dynamically calculate After obtaining the value, based on the impedance characteristics of the substation area transformer, an HPLC path loss attenuation model is established to generate the signal propagation path loss of the HPLC feature group. The HPLC path loss attenuation model is as follows:

[0054] Among them, represents the HPLC path loss attenuation model, is the wire distance from the node to the concentrator obtained through the topological map (obtained through the topological map), is the frequency of the HPLC path loss, is the frequency attenuation exponent (the measured value is 1.8 ± 0.3, related to the degree of wire aging), is the transformer coupling loss (typical value on the 380V side is 15dB); (2) Regarding the electromagnetic shielding effect of the metal meter box, a compensation model is constructed to generate the shielding attenuation coefficient of the wireless feature group. The compensation model is as follows:

[0055]

[0056] Among them, is the wireless signal shielding attenuation amount, is the straight-line distance from the meter box shell to the wireless module antenna, is the wireless signal wavelength (corresponding to 0.638m at 470MHz), is the material compensation coefficient pre-calibrated through ray tracing simulation, is the actually measured wireless signal reception strength, is the wireless signal reception strength after shielding compensation correction; During actual deployment, maintain the meter box attribute database (including material, size, installation angle) on the concentrator side. After the node is powered on, match the database through the GPS positioning coordinates and automatically load the compensation parameters; (3) Introduce the power frequency load fluctuation index to quantify the channel time-varying index, which is used to reflect the impact of load switching on the channel in real time, so as to generate the real-time power frequency load fluctuation index in the dynamic environment parameters , which is used to reflect the impact of load switching on the channel in real time. There is:

[0057] Among them, is the effective value of the voltage of the th power frequency cycle extracted from the HPLC waveform, is the voltage reference value (nominal 220V, allowing ±10% fluctuation), is the number of total power frequency cycles; When it is determined that the channel enters the transient process, and the update of the weight decision model is suspended.

[0058] In summary, at this time, a meter box material database (pre-set attenuation parameters for metal / plastic materials) is introduced to perform shielding compensation on the wireless signal measurement values. For example, the attenuation of a 470 MHz wireless signal by a metal meter box can reach 15 - 20 dB, and the true signal strength can be restored through a compensation algorithm, solving the problem of boundary misjudgment caused by ignoring the shielding effect in traditional solutions.

[0059] S3. Based on the random forest model trained with historical networking data, the feature vector of multi-dimensional features is input through the machine learning model, and the weight value of the substation area attribution is dynamically calculated, and the feature vector is non-linearly weighted and calculated.

[0060] The specific operation process at this time includes: S31. Based on historical networking data, train an ensemble model composed of M = 200 decision trees as the random forest model; S32. Perform feature normalization / standardization processing on the multi-dimensional feature vector generated in step S2, and the processed feature vector is:

[0061] Among them, is the historical mean of the th dimension feature obtained through statistics of 100,000 groups of samples, is the th dimension feature standard deviation, which is used to eliminate the dimension difference; For example, μ = 58 dB, σ = 12 dB for the HPLC signal-to-noise ratio; μ = 8°, σ = 5° for the wireless angle of arrival deviation; After processing, it is used as the input of the random forest model, and the multi-dimensional feature vector contains a total of 12 key parameters; S33. The random forest model performs non-linear weighted calculation on the input feature vector, and there is:

[0062]

[0063] Among them, is the HPLC weight value, which is obtained through the voting results of decision trees, is the decision output result of the th tree; The HPLC weight value and the wireless weight value respectively represent the probabilities of a node belonging to the current substation area through two communication methods, and are adaptively adjusted according to the real-time channel quality: automatically increase the proportion of the wireless weight, and vice versa increase the proportion of the HPLC weight, and there is an adaptively adjusted weight. The calculation formula is:

[0064] Among them, is the signal-to-noise ratio of the HPLC signal; When the HPLC channel deteriorates, according to the real-time channel quality (such as when the HPLC signal-to-noise ratio is lower than 40 dB), the proportion of the wireless weight is automatically and gradually increased, and vice versa the proportion of the HPLC weight is increased to avoid misjudgment caused by the failure of a single channel.

[0065] In summary, at this time, dynamic weight allocation with adaptive channel quality is adopted instead of the traditional fixed weight. For example, when strong interference (SNR < 35 dB) is detected in the HPLC channel, the proportion of the wireless weight is increased from the default 50% to 80%, which can avoid decision-making errors caused by the failure of a single channel.

[0066] S4. Based on weight comparison and substation area boundary node processing, combine the substation area attribution weight value with a preset impedance shielding compensation algorithm to correct the measurement error, so as to generate a unique substation area identifier and lock the networking relationship, and perform substation area attribution determination and networking relationship locking.

[0067] The specific operation process of performing substation area attribution determination and networking relationship locking at this time includes: S41. Set the dual-mode weight joint criterion and perform the weight comparison operation. If the HPLC weight and the wireless weight , it is determined that the node belongs to this substation area. If , then start the secondary verification; Among them, the dual-mode weight joint criterion includes:

[0068] Among them, is the criterion output, is the HPLC weight, is the wireless weight, is the preset threshold of the HPLC weight, the default is 0.7, and it can be adjusted according to the substation area density. is the preset threshold of the wireless weight, the default is 0.6, and it is related to the antenna gain; When the criterion output is 1, the node is confirmed to belong to this substation area; When the criterion output is 0, start the hierarchical decision-making mechanism: (a) Primary verification: If , it is determined as a boundary node, and the direction angle verification is performed; (b) Secondary verification: If and , it is determined as an HPLC-dominated node, and the wireless weight is ignored; (c) Tertiary verification: If the decisions are inconsistent for 3 consecutive times, the manual review process is triggered; S42. For nodes at the junction of power distribution areas where both and are in the range of 0.4 - 0.6, spatial constraint conditions are imposed, and the arrival angle verification of wireless communication is forced to be enabled. When the deviation between the signal direction angle and the main station antenna pointing is less than 15°, the attribution relationship is confirmed; Among them, the spatial constraint conditions are:

[0069] Among them, is the arrival angle of the wireless signal estimated by the MUSIC algorithm (accuracy ±3°); is the normal direction angle of the power distribution area boundary (obtained from the GIS map); Before enabling the arrival angle verification of wireless communication, the direction angle is smoothed using quaternion Kalman filtering, and there is:

[0070] Among them, is the quaternion state estimate at time, is the quaternion state estimate at time, is the Kalman gain matrix at time, is the original direction angle measurement value at time, is the partial derivative matrix from quaternion to direction angle, which is used to linearize the non-linear observation model; S43. After successful determination, the power distribution area identification code encrypted by AES-256 is written into the node storage chip (non-volatile memory) , and there is:

[0071] Among them, is the AES-256 encryption, is the concentrator master key (unique for each power distribution area), is the power distribution area ID, is the timestamp; And on the concentrator side, the MAC address of this node is bound to the power distribution area ID, establishing a mapping relationship between the MAC address and the power distribution area ID, and the locking period is not less than 24 hours, and there is:

[0072] Among them, is represented as a regional mapping relationship, is the locking period (default 24 hours, can be extended to 72 hours).

[0073] In summary, at this time, by proposing a direction angle forced verification mechanism and adding spatial position constraints for boundary nodes. The relationship between the wireless signal direction angle (AoA) and the normal direction of the substation area boundary of the present invention can be utilized to reduce the misjudgment rate from 12% to less than 2%.

[0074] In addition, the following steps are further synchronously executed during the operation of steps S1 - S4: S5. Set a dual - mode instruction timestamp alignment mechanism to make the networking instructions received by nodes in heterogeneous channels execute synchronously.

[0075] In addition, the following specific operations are included during the execution of step S5: S51. Set an instruction synchronization mechanism: The concentrator broadcasts a networking confirmation instruction through HPLC to embed a wireless channel reservation mark. After receiving the reservation mark in the wireless channel, delay and send a confirmation message containing the same timestamp to ensure that the time difference of the instructions received by nodes in the dual - mode channel is less than 1 ms. There is:

[0076] Among them, is the time deviation calibrated by the PTP protocol (typical value <1 μs), is the optical fiber transmission distance, is the speed of light; S52. According to the pre - set substation area topology database in step S2, perform real - time dynamic compensation on the wireless signal strength reported by nodes (such as +10 dB compensation for metal meter box nodes), and use the compensated signal strength for subsequent topology updates. The compensation algorithm is:

[0077] Among them, is the received strength of the compensated wireless signal, is the actually measured received strength of the wireless signal, is the shielding attenuation amount of the wireless signal, is the material compensation coefficient pre - calibrated through ray - tracing simulation, is the relative displacement change amount between the node and the meter box monitored by the IMU sensor, is the initial installation distance; S53. For nodes that still cannot meet the threshold after being compensated three times continuously , marked as a suspected cross-substation node, suspend its network formation request and initiate the manual review process, that is:

[0078] Among them, is a data compensation operation; When , perform the following operations: record the node MAC address in the concentrator blacklist; suspend the node's network formation request for 48 hours; trigger the work order system to dispatch on-site maintenance tasks.

[0079] In summary, by using the dual-mode instruction timestamp alignment mechanism, it can ensure that the instructions received by the node in the heterogeneous channel are strictly synchronized, avoiding logical conflicts caused by instruction transmission delays (such as the HPLC instruction triggering the node response before the wireless instruction).

[0080] S6. Adopt a local topology self-healing strategy and perform dynamic topology stability maintenance through periodic dual-mode heartbeat detection.

[0081] The specific operation process of step S6 at this time includes: S61. Design a differentiated heartbeat interval strategy and perform periodic heartbeat detection: The node sends heartbeat packets through the HPLC and wireless dual-mode channels. The core node sends heartbeat packets every 15 minutes. If there is no response for 2 consecutive times on the specified channel, trigger the dynamic adjustment of the weight model. The edge node sends heartbeat packets every 30 minutes. If there is no response for 3 consecutive times on the specified channel, trigger the dynamic adjustment of the weight model; The heartbeat response status determination formula at this time is:

[0082] Among them, is the number of confirmations on the HPLC channel, is the number of confirmations on the wireless channel S62. Topology relationship self-healing: When it is detected that the change amount of the node signal characteristics mutates, that is, exceeds the specified threshold (such as the Wh drops by more than 30%), automatically start local topology reconstruction, and only recalculate the weights of the affected nodes, rather than reconstructing the entire network; The specific operation process of local topology reconstruction in step S62 at this time includes: L1. Take the faulty node as the center and include the nodes within a radius of meters into the reconstruction domain; L2. Only re-execute steps S3 - S4 for the nodes within the reconstruction domain. At this time, the calculation time satisfies the following conditions:

[0083] Among them, is the calculation time for a single node (the measured value in a specific embodiment is 0.8 ms), is the communication overhead baseline value (50 ms).

[0084] S63. The hash chain technology is adopted to ensure the integrity of topology data, and there are:

[0085] And after each topology update, the concentrator and the node synchronously verify the hash value to prevent data tampering.

[0086] In summary, at this time, the local topology self-healing strategy is adopted, which shortens the full-network reconstruction time of the traditional scheme from the minute level to the second level. For example, only recalculating the weights of 10% of the abnormal nodes can reduce the system recovery time from 120 seconds to within 5 seconds.

[0087] At the same time, through the above process, the mis-networking rate of the present invention can be reduced from 15%-30% of the traditional scheme to less than 2%, the node switching frequency is reduced by 90%, and the dynamic maintenance energy consumption is reduced by 40%, realizing the fundamental solution to the cross-substation area crosstalk problem in the power communication network.

[0088] In a specific embodiment, to verify the actual effect of the method of the present application, the following test instance operations are designed, and the test scenarios cover typical urban substations and complex electromagnetic environment scenarios, and there are: (1) Configure the test environment

[0089] (2) Set the test scheme

[0090] (3) Compare the key performance indicators

[0091] (4) Specific instance analysis (a) Event 1: Cross-substation area mis-networking scenario (Scenario A) Traditional scheme: During the peak electricity consumption period at 19:00, due to the group start of air conditioners, the HPLC signal coupling is enhanced, and 32 nodes continuously jump among 3 substations (the jump period is 8-15 seconds).

[0092] Scheme of the present invention: Through the wireless direction angle constraint (Δφ < 12°), only 1 boundary node triggers manual review, and the mis-networking event is reduced by 97%.

[0093] (b) Event 2: High-power interference scenario (Scenario B) Traditional scheme: At the moment when the electric arc furnace is started (t = 14:23:11), the HPLC signal-to-noise ratio drops suddenly to 28 dB, resulting in 146 nodes being disconnected from the network.

[0094] The solution of the present invention: automatically switch to the wireless dominant mode (Wr weight rises to 82%), only 9 nodes need local reconstruction, and the system recovery time is shortened from 183 seconds of the traditional solution to 7 seconds.

[0095] (5)Comparison of data results Comparison of mis-networking rates: Scenario A: 22.4% → 1.7%; Scenario B: 34.8% → 2.1%; Comparison of dynamic reconstruction times: Traditional solution: 118s (A) / 203s (B); Present invention: 4.2s (A) / 6.8s (B).

[0096] Therefore, through the actual measurement and verification of the dual scenarios, the present application has achieved a performance improvement of more than 90% in key indicators such as mis-networking suppression, topology stability, and anti-interference ability, and the energy consumption is reduced by 40% - 45%, fully meeting the design objectives. Especially in complex industrial scenarios, the system reliability is significantly improved, and it has the value of large-scale popularization and application.

[0097] On the other hand, the present invention also discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to execute the steps of the above method.

[0098] On yet another hand, the present invention also discloses a computer device including a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above method.

[0099] In another embodiment provided by the present application, there is also provided a computer program product containing instructions, which, when running on a computer, causes the computer to execute any of the methods for improving the cross-talk of the HPLC and micro-power wireless dual-mode communication in the above embodiments.

[0100] It can be understood that the system provided by the embodiments of the present invention corresponds to the method provided by the embodiments of the present invention, and the explanations, examples, and beneficial effects of the relevant content can refer to the corresponding parts in the above method.

[0101] The embodiments of the present application also provide an electronic device including a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus. The memory is used to store a computer program; The processor is used to implement the method for improving the cross-talk of the HPLC and micro-power wireless dual-mode communication when executing the program stored in the memory.

[0102] The communication bus mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus can be divided into an address bus, a data bus, a control bus, and the like.

[0103] The communication interface is used for communication between the above electronic device and other devices.

[0104] The memory may include a random access memory and may also include a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0105] The above-mentioned processor may be a general-purpose processor, including a central processing unit, a network processor, etc.; it may also be a digital signal processor, an application-specific integrated circuit, a field programmable gate array, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0106] It should also be noted that the electronic device further includes a terminal device, which may also be referred to as a terminal, a user equipment, a mobile station, a mobile terminal, etc. The terminal device may be a mobile phone, a smart TV, a wearable device, a tablet computer, a computer with wireless transceiver function, a virtual reality terminal device, an augmented reality terminal device, a wireless terminal in industrial control, a wireless terminal in unmanned driving, a wireless terminal in remote surgery, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, and so on. The embodiments of the present application do not limit the specific technologies and specific device forms adopted by the terminal device.

[0107] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state drive), etc.

[0108] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

[0109] In addition, if the description in the embodiments of the present invention involves "first", "second", etc., the description of "first", "second", etc. is only for descriptive purposes and cannot be understood as indicating or implying its relative importance or implicitly indicating the quantity of the indicated technical features. In addition, the meaning of "and / or" appearing throughout the text includes three parallel scenarios. Taking "A and / or B" as an example, it includes scenario A, scenario B, or the scenario where both A and B are satisfied simultaneously. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement it. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

Claims

1. A method for improving the crosstalk in the substation area of HPLC and micro-power wireless dual-mode communication, characterized in that, Including: S1. After the acquisition terminal device node is powered on, the built-in HPLC module and the micro-power wireless module are started simultaneously. The signal acquisition time windows of the two communication modes are aligned through the hardware clock synchronization mechanism. When the node is powered on for the first time or the topology is updated, the HPLC carrier signal characteristics and the wireless signal space propagation parameters are synchronously obtained as the dual-mode signal parameters; S2. Combine the obtained dual-mode signal parameters with the preset substation area topology database to generate a feature vector with multi-dimensional features; S3. Based on the random forest model trained with historical networking data, input the feature vector with multi-dimensional features through the machine learning model, dynamically calculate the substation area attribution weight value, and perform non-linear weighted calculation on the feature vector; S4. Based on the weight comparison and the processing of the boundary nodes of the substation area, combine the substation area attribution weight value with the preset impedance shielding compensation algorithm to correct the measurement error, so as to generate a unique substation area identifier and lock the networking relationship, and perform the substation area attribution determination; During the operation of the steps S1-S4, the following steps are also synchronously executed: S5. Set the dual-mode instruction timestamp alignment mechanism to make the networking instructions received by the node in the heterogeneous channels executed synchronously; S6. Adopt the local topology self-healing strategy to perform dynamic topology stability maintenance through periodic dual-mode heartbeat detection.

2. The method for improving the cross-talk in the transformer area of HPLC and micro-power wireless dual-mode communication according to claim 1, wherein, The feature vector with multi-dimensional features in the step S2 includes: HPLC feature group: signal propagation path loss, adjacent node hierarchical relationship; Wireless feature group: signal direction angle deviation, shielding attenuation coefficient; Dynamic environment parameters: real-time power frequency load fluctuation index, spatial obstacle movement state.

3. The method for improving the crosstalk in the transformer area of HPLC and micro-power wireless dual-mode communication according to claim 1, wherein, The specific generation process of the feature vector with multi-dimensional features in the step S2 includes: (1) Based on the impedance characteristics of the substation area transformer, establish an HPLC path loss attenuation model to generate the signal propagation path loss of the HPLC feature group. The HPLC path loss attenuation model is: Among them, represents the HPLC path loss attenuation model, is to obtain the wire distance from the node to the concentrator through the topological map, is the frequency of the HPLC path loss, is the frequency attenuation exponent, is the transformer coupling loss; (2) For the electromagnetic shielding effect of the metal meter box, construct a compensation model to generate the shielding attenuation coefficient of the wireless feature group. The compensation model is: Among them, is the attenuation amount of wireless signal shielding, is the straight-line distance from the outer shell of the meter box to the antenna of the wireless module, is the wavelength of the wireless signal, is the material compensation coefficient pre-calibrated through ray tracing simulation, is the actually measured wireless signal reception strength, is the wireless signal reception strength after shielding compensation correction; (3) Introduce the power frequency load fluctuation index to quantify the channel time-varying index, which is used to reflect the influence of load switching on the channel in real time, so as to generate the real-time power frequency load fluctuation index in the dynamic environment parameters. There is: Among them, is the effective value of the voltage of the th power frequency cycle extracted by the HPLC waveform, is the voltage reference value; When it is determined that the channel enters the transient process, the update of the weight decision model is suspended.

4. The method for improving the crosstalk in the substation area of HPLC and micro-power wireless dual-mode communication according to claim 1, wherein, The specific operation process of the step S3 includes: S31. Based on historical networking data, train M decision trees to form an ensemble model as the random forest model; S32. Perform feature normalization processing on the multi-dimensional feature vector generated in the step S2, and the processed result is used as the input of the random forest model; S33. The random forest model performs non-linear weighted calculation on the input feature vector. There is: Among them, is the HPLC weight value, obtained through the voting results of decision trees; is the decision output result of the Adaptive adjustment according to real-time channel quality: Automatically increase the wireless weight ratio, and vice versa, increase the HPLC weight ratio. There is an adjusted weight after adaptive adjustment The calculation formula is as follows: Among them, is the signal-to-noise ratio of the HPLC signal; When the HPLC channel deteriorates, gradually increase the wireless weight ratio to avoid misjudgment caused by the failure of a single channel.

5. The method for improving the cross-talk in the transformer area of HPLC and micro-power wireless dual-mode communication according to claim 4, characterized in that The specific operation process of performing the substation area attribution determination in the step S4 includes: S41. Set the dual-mode weight joint criterion and perform the weight comparison operation. If both the HPLC weight and the wireless weight are higher than the preset threshold, it is determined that the node belongs to this substation area. If the difference between the HPLC weight and the wireless weight exceeds the specified critical range, secondary verification is started; S42. Apply spatial constraint conditions to the nodes at the junction of the power distribution areas, force the arrival angle verification of wireless communication to be enabled, and confirm the attribution relationship when the signal direction angle deviates from the main station antenna pointing by less than the specified threshold; S43. After successful determination, write the encrypted power distribution area identification code into the node storage chip, and bind the node MAC address to the power distribution area ID on the concentrator side to establish a mapping relationship between the MAC address and the power distribution area ID.

6. The method for improving the cross-talk in the power distribution area of HPLC and micro-power wireless dual-mode communication according to claim 5, wherein The dual-mode weight joint criterion in the S41 step includes: Among them, is the criterion output, is the HPLC weight, is the wireless weight, is the preset threshold of the HPLC weight, is the preset threshold of the wireless weight; When the criterion output is 1, the node is confirmed to belong to this power distribution area; When the criterion output is 0, start the hierarchical decision-making mechanism: (a) First-level verification: If , it is determined as a boundary node, and the direction angle verification is performed; (b) Secondary verification: If and , it is determined as the HPLC dominant node, and the wireless weight is ignored; (c) Tertiary verification: If the decisions are inconsistent for 3 consecutive times, trigger the manual review process.

7. The method for improving the cross-talk in the substation area of HPLC and micro-power wireless dual-mode communication according to claim 5, wherein The spatial constraint condition in the S42 step is: Among them, is the arrival angle of the wireless signal estimated by the MUSIC algorithm; is the normal direction angle of the substation area boundary; Before enabling the arrival angle verification of wireless communication, perform smoothing processing on the direction angle using quaternion Kalman filtering, and there is: Among them, is the quaternion state estimate at time is the quaternion state estimate at time is the Kalman gain matrix at time is the original direction angle measurement value at time is the partial derivative matrix from quaternion to direction angle, which is used to linearize the non - linear observation model.

8. The method for improving the cross-talk in the transformer area of HPLC and micro-power wireless dual-mode communication according to claim 1, wherein, The following specific operations are included during the execution of the S5 step: S51. Set up an instruction synchronization mechanism: The concentrator broadcasts a network confirmation instruction through HPLC to embed a wireless channel reservation flag. After receiving the reservation flag on the wireless channel, it delays to send a confirmation message containing the same timestamp to ensure that the time difference of the instructions received by the node in the dual-mode channel is less than the specified time difference. There is: Among them, is the time deviation calibrated by the PTP protocol, is the optical fiber transmission distance, is the speed of light; S52. According to the pre-set power distribution area topology database in the S2 step, perform real-time dynamic compensation on the wireless signal strength reported by the node, and use the compensated signal strength for subsequent topology update. The compensation algorithm is: Among them, is the compensated wireless signal reception strength, is the actually measured wireless signal reception strength, is the wireless signal shielding attenuation amount, is the material compensation coefficient pre-calibrated through ray tracing simulation, is the relative displacement change amount between the node and the meter box monitored by the IMU sensor, is the initial installation distance; S53. For nodes that still cannot meet the threshold after 3 consecutive compensations, mark them as suspected cross-power distribution area nodes, suspend their networking requests, and start the manual review process.

9. The method for improving the cross-talk in the substation area of HPLC and micro-power wireless dual-mode communication according to claim 1, wherein, The specific operation process of the S6 step includes: S61. Design a differentiated heartbeat interval strategy and perform periodic heartbeat detection: Heartbeat packets are sent through the HPLC and wireless dual-mode channels at the node. The core node sends heartbeat packets every 15 minutes. If there is no response for 2 consecutive times on the specified channel, trigger the dynamic adjustment of the weight model. The edge node sends heartbeat packets every 30 minutes. If there is no response for 3 consecutive times on the specified channel, trigger the dynamic adjustment of the weight model; S62. Topology relationship self-healing: When it is detected that the change amount of the node signal characteristics exceeds the specified threshold, automatically start local topology reconstruction, and only recalculate the weights of the affected nodes, rather than reconstructing the entire network; S63. Use the hash chain technology to ensure the integrity of the topology data, and after each topology update, the concentrator and the node synchronously verify the hash value to prevent data tampering.

10. The method for improving the cross-talk in the transformer area of HPLC and micro-power wireless dual-mode communication according to claim 9, wherein The specific operation process of the local topology reconstruction in the S62 step includes: L1. Nodes within a radius of meters centered on the faulty node are included in the reconstruction domain; L2. Only re-execute steps S3 - S4 for the nodes within the reconstruction domain.

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