A remote communication method and system of a transformer area intelligent fusion terminal

Abstract

The application discloses a remote communication method and system of a transformer area intelligent fusion terminal, and relates to the technical field of wireless communication.The method comprises the following steps: obtaining a received signal strength indication value of a communication link, and constructing a received signal strength change sequence; calculating a received signal strength change amount according to the received signal strength change sequence, and determining a received signal strength change direction consistency coefficient based on the change direction of each received signal strength change amount; judging whether the current communication link is in a continuous degradation state according to the received signal strength change direction consistency coefficient; when it is judged that the current communication link is in a continuous degradation state, detecting a backup communication link, and switching the current communication link to the backup communication link when the backup communication link meets a communication condition; and the application solves the problem that the prior art is only dependent on a single threshold value for judgment, is easily affected by instantaneous fluctuations, and causes link misjudgment and frequent switching to cause link oscillation.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and more specifically, to a remote communication method and system for a smart converged terminal in a distribution area. Background Technology

[0002] The smart converged terminal in the distribution area is an important edge device in the distribution Internet of Things (IoT). It interacts with the distribution master station via remote communication methods such as 4G, 5G, or private wireless networks. To improve communication reliability, existing smart converged terminals in the distribution area typically support dual-link or multi-link communication. They determine the current link status based on the Received Signal Strength Indication (RSSI) value fed back by the wireless communication module. When the RSSI value is detected to be lower than a preset threshold, the terminal switches to a backup link to ensure the continuity of remote communication.

[0003] However, multipath fading and transient interference in wireless channels cause random fluctuations in RSSI values ​​around the threshold. Existing technologies typically rely directly on the RSSI value obtained from a single sample for link switching decisions without analyzing the trend of RSSI changes. When the instantaneous sample value is below the threshold, it is easy to misjudge link anomalies, leading to frequent switching between the primary and backup links, causing link oscillations, and consequently resulting in frequent connection rebuilding, decreased data transmission stability, and other problems, affecting the reliability of remote communication of smart converged terminals in the distribution area. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a remote communication method and system for a smart converged terminal in a distribution area, which solves the problems of the prior art relying only on a single RSSI threshold judgment, which is easily affected by instantaneous fluctuations, leading to link misjudgment and link oscillation caused by frequent switching.

[0005] To achieve the above objectives, the present invention provides the following technical solution: In a first aspect, this application provides a remote communication method for a smart converged terminal in a distribution area. The method includes: acquiring the received signal strength indication value of the current communication link at multiple consecutive sampling times, and constructing an RSSI change sequence; calculating the RSSI change amount between adjacent sampling times based on the RSSI change sequence, and determining an RSSI change direction consistency coefficient based on the change direction of each RSSI change amount; determining whether the current communication link is in a continuous degradation state based on the RSSI change direction consistency coefficient; when it is determined that the current communication link is in a continuous degradation state, detecting a backup communication link, and switching the current communication link to the backup communication link when the backup communication link meets the communication conditions.

[0006] In one embodiment, constructing an RSSI change sequence includes: acquiring the current RSSI according to a preset sampling period and synchronously generating a sampling timestamp; storing the RSSI and the sampling timestamp in a circular buffer, where new data overwrites the oldest data when the buffer is full; when the number of valid data in the buffer reaches a preset window length, sorting them in ascending order by timestamp and removing abnormal sampling points whose sampling time interval exceeds a preset abnormal interval threshold to establish a temporal correlation; and outputting the sorted RSSI data based on the temporal correlation to form the RSSI change sequence.

[0007] In one embodiment, calculating the RSSI change between adjacent sampling times and determining the RSSI change direction consistency coefficient based on the change direction of each RSSI change includes: calculating the RSSI change between adjacent sampling times in the RSSI change sequence to construct an RSSI change sequence; extracting the amplitude of each RSSI change in the RSSI change sequence to obtain a change amplitude weight and determining its direction: greater than zero is an upward direction, less than zero is a downward direction, and equal to zero is a stable direction; accumulating the change amplitude weights corresponding to each direction to obtain the weighted value for the upward direction and the weighted value for the downward direction, and obtaining the number of occurrences of the stable direction; and calculating the RSSI change direction consistency coefficient based on the weighted values ​​and the number of occurrences of the stable direction.

[0008] In one embodiment, the amplitude of each RSSI change in the RSSI change sequence is extracted to obtain a change amplitude weight, including: taking the absolute value of the RSSI change to obtain a basic change amplitude value; obtaining a preset RSSI reference fluctuation threshold; normalizing the basic change amplitude value and the preset RSSI reference fluctuation threshold to obtain a normalized amplitude value; wherein, if the normalized amplitude value exceeds a set maximum amplitude value, it is truncated to the maximum amplitude value; and the normalized amplitude value is used as the change amplitude weight.

[0009] In one embodiment, determining whether the current communication link is in a state of continuous degradation includes: obtaining the link health value and the anti-oscillation factor; performing reverse normalization on the link health value to obtain a link degradation index; coupling the link degradation index with the anti-oscillation factor to obtain a switching decision value; when the switching decision value is greater than or equal to a preset switching threshold, generating a link switching execution instruction and marking the current link as a degraded link; otherwise, maintaining the current communication link.

[0010] In one embodiment, obtaining the link health value includes: obtaining the RSSI change direction consistency coefficient, and obtaining the RTT volatility and data transmission packet loss rate of the current link within a preset time window; normalizing the RSSI change direction consistency coefficient, the RTT volatility, and the packet loss rate to a unified dimension range; and calculating the link health value by weighted summation based on the three normalized parameters and their corresponding preset weight coefficients.

[0011] In one embodiment, obtaining the anti-oscillation factor includes: obtaining the historical handover time sequence of the current link, calculating the time interval between adjacent handovers, and calculating the proportion of handovers with time intervals less than a preset threshold within a time window to the total number of handovers, as a handover concentration index; obtaining the link health value at the time of each link handover, calculating the number of handovers with link health values ​​lower than a preset health threshold, and calculating the link state coupling characteristics; and fusing the handover concentration index and the link state coupling characteristics to obtain the anti-oscillation factor, which is used to characterize the risk level of oscillation in the current communication link.

[0012] In one embodiment, when it is determined that the current communication link is in a state of continuous degradation, the backup communication link is detected, including: based on the link switching execution instruction, activating at least two backup communication links from a preset candidate communication link set, and performing initialization detection on each of the backup communication links.

[0013] In one embodiment, when a backup communication link meets the communication conditions, the current communication link is switched to the backup communication link, including: acquiring first data for each backup communication link, including link health value, round-trip time, and packet loss rate; calculating a basic link score for each backup link based on the first data; acquiring the switching delay and data reconstruction overhead required to switch the current link to each backup link; calculating the switching cost of each backup link based on the weighted average of the switching delay and the data reconstruction overhead; acquiring an anti-oscillation factor for each backup link; calculating a comprehensive decision score for each backup link based on the basic link score, the switching cost, and the anti-oscillation factor; and selecting the backup communication link with the highest comprehensive decision score as the target link for the switching operation.

[0014] Secondly, this application provides a remote communication system for a smart converged terminal in a distribution area. The system includes: a signal acquisition and sequence construction module, used to acquire received signal strength indication values ​​of the current communication link at multiple consecutive sampling times and construct an RSSI change sequence; a change direction consistency analysis module, used to calculate the RSSI change amount between adjacent sampling times based on the RSSI change sequence, and determine an RSSI change direction consistency coefficient based on the change direction of each RSSI change amount; a continuous degradation state determination module, used to determine whether the current communication link is in a continuous degradation state based on the RSSI change direction consistency coefficient; and a link switching execution module, used to detect a backup communication link when the current communication link is determined to be in a continuous degradation state, and switch the current communication link to the backup communication link when the backup communication link meets the communication conditions.

[0015] As can be seen from the above technical solutions, the embodiments of this application have the following advantages: By constructing a change sequence of RSSI values ​​at continuous sampling times and further introducing the consistency analysis of adjacent changes and their directions, the traditional link judgment method based on single-point RSSI thresholds is extended to a degradation identification mechanism based on time series trends, thus effectively reflecting the continuous change characteristics of link quality. At the same time, the consistency coefficient of RSSI change direction is used to quantitatively judge whether the link is in a state of continuous degradation, which can reduce the interference of instantaneous signal fluctuations on the decision results and improve the stability and reliability of degradation identification. On this basis, the backup communication link detection and switching operation is triggered only when the link is confirmed to be continuously degraded, thereby reducing the number of unnecessary link switching, reducing the risk of communication interruption, and improving the stability and anti-interference capability of remote communication of the intelligent converged terminal in the distribution area. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic flowchart of a remote communication method for a smart converged terminal in a distribution area, provided as an embodiment of this application.

[0018] Figure 2 This is a schematic diagram of the remote communication system structure of a smart converged terminal for a distribution area, provided as an embodiment of this application. Detailed Implementation

[0019] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] Reference Figure 1 As shown in the diagram, a remote communication method for a smart converged terminal in a distribution area provided by the present invention includes the following steps: S1. Obtain the Received Signal Strength Indicator (RSSI) value corresponding to multiple consecutive sampling times of the current communication link according to the preset sampling period, and construct the RSSI change sequence.

[0021] In this embodiment, the RSSI change sequence is constructed, including: S11, trigger the signal strength acquisition command of the current communication link according to the preset sampling period, obtain the received signal strength indication value RSSI corresponding to the current sampling time through the wireless communication module, and synchronously generate the sampling timestamp corresponding to the RSSI. The sampling timestamp is generated by the terminal system clock. S12, write the RSSI and sampling timestamp corresponding to the current sampling time into the circular buffer. The circular buffer is a ring storage structure with a preset capacity. When the buffer storage space is full, the new sampling data overwrites the earliest sampling data. S13, continuously update the sampled data set based on the RSSI and sampling timestamp stored in the circular buffer, and when the number of valid sampled data in the buffer reaches the preset window length, extract them in chronological order to form a time-series sampling window; The preset window length is determined by the system based on the default signal sampling period of the intelligent fusion terminal in the distribution area and the time granularity required for link status analysis. It is calculated by the system according to the number of equally spaced sampling points within a fixed time interval, and can be directly set according to the ratio of the analysis period to the sampling period, such as 10 seconds, 30 seconds, or 60 seconds.

[0022] It should be noted that the preset window length and the circular buffer capacity satisfy the constraint that the window length does not exceed the buffer capacity, which is used to ensure that valid RSSI sampling data within a continuous time range can be completely captured in the circular storage structure.

[0023] S14, sort the RSSI data in the time-series sampling window in ascending order according to the sampling timestamp, and remove abnormal sampling points whose sampling time interval exceeds the preset abnormal interval threshold during the sorting process, so as to establish an effective time-series correlation relationship. The preset abnormal interval threshold is set as the maximum allowable sampling time interval determined by the terminal system clock error range and the minimum effective sampling period of the wireless communication channel.

[0024] S15, based on the time-series correlation, the sorted RSSI data are output sequentially to construct the RSSI change sequence corresponding to the current communication link.

[0025] It should be noted that by introducing a circular buffer and a timing sampling window to organize RSSI data continuously and orderly, and combining timestamp sorting and abnormal interval removal mechanisms, the temporal consistency and validity of the sampled data are effectively guaranteed. This ensures that the constructed RSSI change sequence can truly reflect the signal change process of the communication link in a continuous time period, avoids data distortion caused by sampling loss or time misalignment, and improves the accuracy and stability of subsequent link status trend analysis and handover determination.

[0026] S2, calculate the RSSI change between adjacent sampling times based on the RSSI change sequence, and determine the RSSI change direction consistency coefficient based on the change direction of each RSSI change.

[0027] In this embodiment, the RSSI change between adjacent sampling times is calculated based on the RSSI change sequence, and the consistency coefficient of the RSSI change direction is determined based on the change direction of each RSSI change, including: S21, obtain the RSSI values ​​RSSI(i) and RSSI(i+1) corresponding to two adjacent sampling times in the RSSI change sequence, and calculate the RSSI change ΔRSSI(i) between adjacent sampling times, where: ΔRSSI(i) = RSSI(i+1) - RSSI(i) S22, Construct an RSSI change sequence based on the RSSI change; S23, extract the magnitude of each RSSI change in the RSSI change sequence to obtain the corresponding change magnitude weight; S24, determine the direction of each RSSI change in the RSSI change sequence. When the RSSI change is greater than zero, it is recorded as an upward direction; when the RSSI change is less than zero, it is recorded as a downward direction; when the RSSI change is equal to zero, it is recorded as a stable direction, and the corresponding directions are marked respectively. S25, based on the change magnitude weight, perform weighted statistics on the direction of each RSSI change, and calculate the weighted value of the upward direction, the weighted value of the downward direction, and the number of times the stable direction appears respectively; Specifically, when the direction is upward, the corresponding change magnitude weight is accumulated into the upward direction weighted value. When marked as a downward direction, the corresponding change magnitude weight is accumulated into the downward direction weighted value. .

[0028] S26, based on the weighted value of the upward direction, the weighted value of the downward direction, and the number of occurrences of the stable direction, calculate the RSSI change direction consistency coefficient C, where:

[0029] The RSSI change direction consistency coefficient C is used to characterize the degree of trend consistency of the RSSI change series after considering the weighting of change magnitude. The number of times the stable direction appears.

[0030] It should be noted that by performing adjacent difference processing on the RSSI change sequence and constructing a change quantity sequence, and then introducing change amplitude weights to perform differentiated weighted statistics on each change quantity, the signal fluctuations of different intensities have different effects on trend determination, thereby avoiding the information distortion problem caused by traditional methods that rely solely on direction statistics. At the same time, by calculating the weighted values ​​of the rising, falling, and stable directions separately and combining them to form an RSSI change direction consistency coefficient, this coefficient can simultaneously reflect the consistency of the change direction and the degree of influence of the change intensity, thereby improving the ability to characterize the true degradation trend of the link signal, and enhancing the accuracy of link status judgment and the ability to resist random fluctuation interference.

[0031] Further, in step S23, the amplitude of each RSSI change in the RSSI change sequence is extracted to obtain the corresponding change amplitude weight, including: S231, obtain the i-th RSSI change ΔRSSI(i) in the RSSI change sequence, and perform absolute value processing on the RSSI change ΔRSSI(i) to obtain the basic change amplitude value; S232, obtain a preset RSSI reference fluctuation threshold, wherein the preset RSSI reference fluctuation threshold is determined based on the natural fluctuation range of RSSI of the wireless communication module under stable link conditions; S233, the basic variation amplitude value is normalized to a preset RSSI reference fluctuation threshold to obtain a normalized amplitude value, wherein:

[0032] In the formula, For normalized amplitude values, Based on the magnitude of change, To preset the RSSI reference fluctuation threshold, It is a positive compensation term.

[0033] S234, The normalized amplitude value is subjected to amplitude constraint processing. If the normalized amplitude value is greater than the set maximum amplitude value, the normalized amplitude value is truncated to the maximum amplitude value to avoid abnormal mutation data from affecting the statistical results. S235, based on the normalized amplitude value after amplitude constraint processing, obtains the corresponding change amplitude weight.

[0034] It should be noted that by introducing a step-by-step processing method of "absolute value extraction - reference fluctuation threshold normalization - amplitude constraint processing" for RSSI changes, the amplitude of changes is represented on a uniform scale, thereby eliminating the impact of differences in RSSI fluctuation range under different wireless environments or equipment conditions, and improving the comparability and consistency of amplitude features. At the same time, by introducing a reference threshold determined based on the natural fluctuation range of stable links, the system can effectively distinguish between small fluctuations in normal signals and sudden changes in real signals, and suppress the interference of abnormal sudden data on statistical results through a maximum amplitude truncation mechanism, thereby improving the stability and robustness of the amplitude weight, and thus improving the accuracy of subsequent link trend analysis and status judgment.

[0035] S3, determine whether the current communication link is in a state of continuous degradation based on the consistency coefficient of the RSSI change direction.

[0036] In this embodiment, determining whether the current communication link is in a state of continuous degradation based on the RSSI change direction consistency coefficient includes: S31, Obtain the RSSI change direction consistency coefficient calculated in step S2, and use the RSSI change direction consistency coefficient as the link signal stability parameter; S32, acquire the round-trip time (RTT) measurement sequence of the current communication link within a preset time window, and calculate the RTT volatility R based on the RTT measurement sequence, where:

[0037] In the formula, R represents the RTT volatility, which characterizes the stability of communication link latency. A larger R value indicates more significant latency fluctuations in the communication link. The number of RTT measurements acquired within a preset time window. The round-trip delay value is the i-th measurement obtained within the preset time window. It is the average value of all RTT measurements within the preset time window.

[0038] S33, obtain the data transmission packet loss statistics of the current communication link within a preset time window, and respectively count the total number of data packets sent and the number of data packets successfully received within the preset time window. Calculate the data transmission packet loss rate P based on the total number of data packets sent and the number of data packets successfully received, which is used to characterize the data transmission reliability of the communication link, wherein:

[0039] In the formula, The total number of data packets sent. This represents the number of data packets successfully received.

[0040] S34, normalize the RSSI change direction consistency coefficient C, RTT volatility R, and data transmission packet loss rate P. The normalization process adopts the minimum-maximum normalization method to linearly map each indicator to the interval [0,1], so that the three are mapped to a unified dimension range. S35, construct a link health evaluation function based on the normalized parameters, and calculate the link health value corresponding to the current communication link, where:

[0041] In the formula, This is the link health value corresponding to the current communication link, used to characterize the overall communication status of the current communication link. This is the consistency coefficient of the normalized RSSI change direction. This represents the normalized RTT volatility. The normalized data transmission packet loss rate. , , These are the preset weighting coefficients corresponding to the RSSI change direction consistency coefficient, RTT volatility, and data transmission packet loss rate, respectively, and satisfy the following conditions: This is to ensure that the health value of the link is evaluated using a uniform standard.

[0042] The preset weighting coefficients are calculated using historical sample data of RSSI change direction consistency coefficient, RTT volatility, and data transmission packet loss rate collected by the intelligent fusion terminal of the statistical distribution area in the most recent 24 consecutive hours according to the sampling period. The average change amplitude of each indicator in the corresponding historical samples is calculated, and abnormal samples exceeding the mean ± 3 times the standard deviation of the corresponding indicator are removed before calculation to reduce the impact of sudden noise on the statistical results. When the historical sample data is less than the preset minimum sample number or the terminal is in the initial power-on initialization state or the first access to an unfamiliar backup communication link state, the pre-configured default weighting coefficient is used as the initial weight. After the number of historical samples reaches the preset minimum sample number, the corresponding weighting coefficient is updated according to the ratio of the average change amplitude of each indicator to the sum of the average change amplitudes of the three indicators.

[0043] It should be noted that this method achieves a multi-dimensional comprehensive evaluation of the stability of communication link signals, latency stability, and transmission reliability by uniformly normalizing the RSSI change direction consistency coefficient, round-trip time (RTT) volatility, and data transmission packet loss rate, and constructing a link health value based on a weighted fusion method. This enables a more comprehensive and accurate reflection of the overall operating status of the current communication link, improves the reliability of link quality judgment, and provides a stable basis for subsequent link switching decisions.

[0044] Furthermore, determining whether the current communication link is in a state of continuous degradation based on the RSSI change direction consistency coefficient also includes: S36, obtain the historical link switching time sequence T(i) of the current communication link and the time interval between two adjacent link switchings; S37, based on the time interval, obtain the average of the time intervals between two adjacent link handovers, and count the number of handovers within the time window whose time interval is less than a preset interval threshold, further calculate the handover concentration index, wherein the preset interval threshold is preset based on the empirical time interval between two adjacent normal link handovers in the communication system, wherein:

[0045] In the formula, The handover concentration index is used to characterize the degree of clustering of link handovers over time; a larger value indicates a more concentrated handover activity. This refers to the number of times the time interval between two adjacent link handovers is less than a preset interval threshold. This represents the total number of link switching attempts within a preset time window.

[0046] S38, obtain the link health value corresponding to each link switch, and count the number of link switches corresponding to when the link health value is lower than the preset health threshold. The preset health threshold is used to characterize the critical health level of the link in a degraded state. It is set according to the preset percentile based on the statistical results of the link health value under the historical normal communication state. S39, calculate the link state coupling characteristics based on the total number of link handovers and the number of link handovers in the low health state, where:

[0047] In the formula, This is a link-state coupling feature used to characterize the degree of correlation between link switching behavior and link health status. This represents the number of link switching attempts required when the link health value falls below a preset health threshold.

[0048] S310, calculate the anti-oscillation factor based on the switching concentration index and link state coupling characteristics, wherein:

[0049] In the formula, It is an anti-oscillation factor used to characterize the risk of oscillation in the current communication link.

[0050] It should be noted that by introducing a handover concentration index and link state coupling features into the link handover behavior analysis, a multi-dimensional characterization of link oscillation risk is achieved. The handover concentration index, based on the proportion of adjacent handover intervals less than a preset threshold, reflects the temporal clustering characteristics of link handovers and can effectively identify sudden and frequent handover behavior. The link state coupling features, combined with the link health value at the time of each handover, quantify the correlation between link handover and actual link quality degradation, ensuring that oscillation assessment no longer relies solely on the number of handovers. By fusing these two elements to generate an anti-oscillation factor, this factor possesses a comprehensive characterization capability for both "handover intensity" and "actual degradation triggering level," thereby more accurately distinguishing between normal strategic handovers and oscillation behavior caused by link anomalies, improving the reliability and resilience to misjudgments in link stability assessment.

[0051] Furthermore, determining whether the current communication link is in a state of continuous degradation based on the RSSI change direction consistency coefficient also includes: S311, Obtain the link health value and anti-oscillation factor, and use the link health value as a link quality indicator and the anti-oscillation factor as a link oscillation risk constraint indicator. S312, Perform reverse normalization on the link health value to obtain the link degradation index, wherein:

[0052] In the formula, It is a link degradation index used to characterize the degree of degradation of the current communication link.

[0053] S313, based on the coupled calculation of the link degradation index and the anti-oscillation factor, intermediate quantities for switching decisions are obtained, wherein:

[0054] In the formula, It serves as an intermediate variable for switching decisions, used to characterize the switching tendency of the current communication link.

[0055] S314, The intermediate quantity of the handover decision is scaled and normalized to obtain the handover decision value, which is used to characterize the necessity of handover of the current communication link, wherein:

[0056] In the formula, This is a switching decision value, used to characterize the necessity of switching the current communication link. The maximum decision benchmark value is set as the maximum observed value of the intermediate quantity of the switching decision within the historical statistical window. It is used to normalize the intermediate quantity of the switching decision so that the switching decision value is within a uniform dimension.

[0057] S315, compare the switching decision value with the preset switching threshold. When the switching decision value is greater than or equal to the preset switching threshold, generate a link switching execution instruction and mark the current communication link as a degraded link to indicate that the communication link no longer meets the stable communication conditions. When the switching decision value is less than the preset switching threshold, maintain the current communication link and do not switch.

[0058] The preset switching threshold is preset based on the average level of switching decision values ​​obtained statistically during normal operation of the communication system.

[0059] It should be noted that by inversely normalizing the link health value to obtain the link degradation index, and introducing an anti-oscillation factor as a link stability constraint parameter, a unified model of the link's "quality degradation degree" and "historical oscillation risk" is achieved. At the same time, by coupling the two types of indices to generate intermediate quantities for switching decisions, the link switching judgment no longer depends on a single performance index, but considers both the current link degradation state and oscillation suppression constraints. Then, by scaling normalization, the decision results are mapped to a unified dimensional range, thereby improving the comparability and stability of decision results in different network environments, reducing the probability of misjudgment caused by the superposition of instantaneous fluctuations or historical oscillation behaviors, and improving the accuracy and robustness of link switching decisions.

[0060] S4. When it is determined that the current communication link is in a state of continuous degradation, the backup communication link is detected. When the backup communication link meets the communication conditions, the current communication link is switched to the backup communication link to realize remote communication of the intelligent converged terminal in the distribution area.

[0061] In this embodiment, when it is determined that the current communication link is in a state of continuous degradation, the backup communication link is detected, including: S41, based on the link switching execution instruction, activate at least two backup communication links from the preset candidate communication link set, and perform initialization detection on each of the backup communication links.

[0062] Furthermore, when the backup communication link meets the communication conditions, the current communication link is switched to the backup communication link, including: S42, respectively acquire the first data corresponding to each backup communication link, the first data including link health value, round-trip time (RTT) and data transmission packet loss rate; In some cases, the backup communication links have not yet completed the full handshake process with the peer communication node during the initial detection phase of activation, and have not yet formed a stable data transmission channel. Therefore, it is impossible to obtain effective round-trip time (RTT) and data transmission packet loss rate measurements. In this case, historical statistical values ​​or initial default values ​​can be used as substitutes to ensure the continuity and executability of the basic link scoring calculation process.

[0063] S43, construct a basic link score based on the first data, wherein:

[0064] In the formula, The base link score for the j-th backup communication link. Let j be the link health value of the j-th backup communication link. Let RTT be the round-trip time (RTT) of the j-th backup communication link. Let J be the packet loss rate of the j-th backup communication link. This is the round-trip delay weighting coefficient, used to adjust the impact of round-trip delay on the basic link score. It is determined based on the ratio of the change in round-trip delay within the time window to the sum of the change in round-trip delay and the change in packet loss rate. This is the packet loss rate weighting coefficient, used to adjust the impact of packet loss rate on the basic link score. It is determined based on the ratio of the change in packet loss rate within a preset time window to the sum of the change in round-trip delay and the change in packet loss rate.

[0065] S44, for the handover relationship between the current communication link and each backup communication link, calculate the corresponding handover cost, where:

[0066] In the formula, This represents the switching cost corresponding to switching from the current communication link to the j-th backup communication link, used to characterize the overall resource consumption generated during the link switching process. The handover delay represents the time elapsed from issuing the link handover command to completing the establishment of the target link. This is a handover delay weighting coefficient, used to characterize the impact of handover delay on handover cost. It is quantified and determined based on the ratio between the reference handover delay and the set maximum allowable handover delay. This represents the data reconstruction overhead during the handover process, indicating the resource consumption incurred during link handover due to session recovery, cache synchronization, and data retransmission. The data reconstruction overhead weighting coefficient is used to characterize the impact of the data recovery process on the switching cost. It is quantitatively determined based on the ratio between the reference data reconstruction overhead and the set maximum allowable data reconstruction overhead.

[0067] S45, Calculate the comprehensive decision score for each candidate communication link based on the basic link score, handover cost, and anti-oscillation factor, wherein:

[0068] In the formula, The comprehensive decision score for the j-th backup communication link is used to characterize the overall takeover priority of this candidate communication link. Let j be the anti-oscillation factor of the j-th backup communication link. The anti-oscillation penalty weighting coefficient is used to adjust the degree of influence of historical oscillation behavior on the link selection result. It is determined based on the ratio of the standard deviation to the average value of the link switching frequency within the time window.

[0069] S46, sort all candidate communication links by comprehensive decision scores, select the candidate communication link with the highest score as the target takeover link, and perform a switching operation on the target takeover link as the current communication link.

[0070] It should be noted that by introducing a multi-candidate link activation and comprehensive decision-making scoring mechanism during the backup communication link handover process, the link selection is expanded from a single availability judgment to a basic quality assessment based on link health value, latency performance, and packet loss rate. Furthermore, a unified comprehensive evaluation model is constructed by combining handover cost and anti-oscillation factor, which can simultaneously consider the impact of link communication quality, handover cost, and historical handover stability on the decision, and achieve dynamic ranking and optimal selection of multiple backup communication links. This method avoids the erroneous handover problem caused by traditional single threshold judgment, reduces the risk of communication jitter caused by frequent link handover, and improves the stability, reliability, and anti-oscillation capability of remote communication handover of intelligent converged terminals in the distribution area.

[0071] Reference Figure 2 As shown in the diagram, the remote communication system structure of a smart converged terminal for a distribution area provided by the present invention includes a signal acquisition and sequence construction module, a change direction consistency analysis module, a continuous degradation state determination module, and a link switching execution module. The modules are interconnected. The signal acquisition and sequence construction module is used to obtain the received signal strength indication values ​​of the current communication link at multiple consecutive sampling times and construct the RSSI change sequence; The consistency analysis module for change direction is used to calculate the amount of RSSI change between adjacent sampling times based on the RSSI change sequence, and to determine the consistency coefficient of RSSI change direction based on the change direction of each RSSI change. The continuous degradation state determination module is used to determine whether the current communication link is in a continuous degradation state based on the consistency coefficient of the RSSI change direction. The link switching execution module is used to detect the backup communication link when it is determined that the current communication link is in a state of continuous degradation, and to switch the current communication link to the backup communication link when the backup communication link meets the communication conditions.

[0072] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0073] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0074] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0075] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A remote communication method for a smart converged terminal in a distribution area, characterized in that, include: Obtain the received signal strength indication values ​​of the current communication link at multiple consecutive sampling times, and construct the RSSI change sequence; Based on the RSSI change sequence, the amount of RSSI change between adjacent sampling times is calculated, and based on the direction of change of each RSSI change, the consistency coefficient of RSSI change direction is determined. The consistency coefficient of RSSI change direction is used to determine whether the current communication link is in a state of continuous degradation. When it is determined that the current communication link is in a state of continuous degradation, the backup communication link is detected, and when the backup communication link meets the communication conditions, the current communication link is switched to the backup communication link.

2. The remote communication method for the intelligent converged terminal of the distribution area according to claim 1, characterized in that, The construction of the RSSI change sequence includes: The current RSSI is obtained according to the preset sampling period and a sampling timestamp is generated synchronously. The RSSI and the sampling timestamp are stored in a circular buffer. When the buffer is full, the new data overwrites the oldest data. When the number of valid data in the buffer reaches the preset window length, sort them in ascending order by timestamp and remove abnormal sampling points whose sampling time interval exceeds the preset abnormal interval threshold in order to establish a time-series correlation. Based on the time-series correlation, sorted RSSI data is output to form the RSSI change sequence.

3. The remote communication method for the intelligent converged terminal of the distribution area according to claim 1, characterized in that, The calculation of the RSSI change between adjacent sampling times, and the determination of the RSSI change direction consistency coefficient based on the change direction of each RSSI change, includes: Calculate the RSSI change between adjacent sampling times in the RSSI change sequence, and construct the RSSI change sequence; The magnitude of each RSSI change in the RSSI change sequence is extracted to obtain the change magnitude weight, and its direction is determined: greater than zero indicates an upward direction, less than zero indicates a downward direction, and equal to zero indicates a stable direction. The weights of the change magnitudes in each direction are summed to obtain the weighted values ​​for the upward and downward directions, and the number of times the stable direction occurs is obtained. The RSSI change direction consistency coefficient is calculated based on the weighted value and the number of times the stable direction occurs.

4. The remote communication method for the intelligent converged terminal of the distribution area according to claim 3, characterized in that, The step of extracting the magnitude of each RSSI change in the RSSI change sequence to obtain the change magnitude weight includes: The absolute value of the RSSI change is taken to obtain the basic change amplitude value; Obtain the preset RSSI reference fluctuation threshold; The basic change amplitude value is normalized with the preset RSSI reference fluctuation threshold to obtain the normalized amplitude value; Wherein, if the normalized amplitude value exceeds the set maximum amplitude value, it is truncated to the maximum amplitude value; The normalized magnitude value is used as the weight of the change magnitude.

5. The remote communication method for the intelligent converged terminal of the distribution area according to claim 1, characterized in that, The determination of whether the current communication link is in a state of continuous degradation includes: Obtain the link health value and the anti-oscillation factor; The link health value is reverse normalized to obtain the link degradation index. The link degradation index is coupled with the anti-oscillation factor to obtain the switching decision value; When the switching decision value is greater than or equal to the preset switching threshold, a link switching execution instruction is generated and the current link is marked as a degraded link; otherwise, the current communication link is maintained.

6. The remote communication method for the intelligent converged terminal of the distribution area according to claim 5, characterized in that, The acquisition of the link health value includes: Obtain the RSSI change direction consistency coefficient, and obtain the RTT volatility and data transmission packet loss rate of the current link within a preset time window; The RSSI change direction consistency coefficient, the RTT volatility, and the packet loss rate are normalized to a unified dimension range. The link health value is calculated by weighted summation based on the three normalized parameters and their corresponding preset weight coefficients.

7. The remote communication method for the intelligent converged terminal of the distribution area according to claim 6, characterized in that, The acquisition of the anti-oscillation factor includes: Obtain the historical handover time sequence of the current link, calculate the time interval between adjacent handovers, and count the proportion of handovers with time intervals less than a preset threshold within the time window to the total number of handovers, as a handover concentration index. Obtain the link health value at each link handover, count the number of handovers where the link health value is lower than the preset health threshold, and calculate the link state coupling characteristics; The handover concentration index and the link state coupling characteristics are fused together to obtain the anti-oscillation factor, which is used to characterize the risk level of oscillation in the current communication link.

8. The remote communication method for the intelligent converged terminal of the distribution area according to claim 1, characterized in that, When it is determined that the current communication link is in a state of continuous degradation, the backup communication link is detected, including: Based on the link switching execution instruction, at least two backup communication links are activated from the preset candidate communication link set, and initialization detection is performed on each of the backup communication links.

9. The remote communication method for the intelligent converged terminal of the distribution area according to claim 8, characterized in that, When the backup communication link meets the communication conditions, the current communication link is switched to the backup communication link, including: Acquire the first data of each backup communication link, including link health value, round-trip time and packet loss rate, and calculate the basic link score of each backup link based on the first data; Obtain the handover latency and data reconstruction overhead required to switch the current link to each backup link, and calculate the handover cost of each backup link based on the weighted average of the handover latency and the data reconstruction overhead; Obtain the anti-oscillation factor of each backup link; Calculate the comprehensive decision score for each backup link based on the basic link score, the switching cost, and the anti-oscillation factor. The backup communication link with the highest comprehensive decision score is selected as the target link for the handover operation.

10. A system using a remote communication method for a smart converged terminal in a distribution area as described in any one of claims 1-9, characterized in that, include: The signal acquisition and sequence construction module is used to obtain the received signal strength indication values ​​of the current communication link at multiple consecutive sampling times and construct the RSSI change sequence; The consistency analysis module for change direction is used to calculate the amount of RSSI change between adjacent sampling times based on the RSSI change sequence, and to determine the consistency coefficient of RSSI change direction based on the change direction of each RSSI change. The continuous degradation state determination module is used to determine whether the current communication link is in a continuous degradation state based on the consistency coefficient of the RSSI change direction. The link switching execution module is used to detect the backup communication link when it is determined that the current communication link is in a state of continuous degradation, and to switch the current communication link to the backup communication link when the backup communication link meets the communication conditions.

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