CN-121751106-B - Power wireless communication private network service method integrating multiple communication modes

Abstract

The invention discloses a multi-communication-mode-integrated power wireless communication private network service method, which relates to the technical field of power wireless communication networks and comprises the steps of monitoring and extracting original behavior records of a terminal in a multi-communication mode, clustering and separating a communication quality stable stage and a fluctuation stage in a time dimension, screening alternative communication mode sets according to aggregation characteristic differences of transmission scales of each communication mode in two types of stages, calculating topology adaptation values based on coupling relations between the behavior records of the stable stage, determining the topology root node grade of the terminal by combining time sequence attributes and behavior frequencies of the fluctuation stage, screening network hub nodes according to the topology root node grade, constructing a hierarchical routing network structure, and generating hierarchical control instructions according to connection characteristics of different layers. The method realizes the communication mode dynamic optimization and network topology autonomous construction based on environmental stage perception and behavior data analysis, and improves the adaptability of the private network to complex fluctuation environment and the reliability of service transmission.

Inventors

• LIU TINGTING
• YIN NA
• CHU JINGJING

Assignees

• 山东宏业发展集团有限公司

Dates

Publication Date

20260508

Application Date

20260228

Claims (5)

1. 1. The power wireless communication private network service method integrated by the multiple communication modes is characterized by comprising the following steps of: monitoring the transmission behaviors of all terminals in the power private network in various communication modes, and extracting an original behavior record containing a time mark, a transmission scale and a channel state; Clustering the original behavior records in a time dimension, and separating a communication quality stable stage and a communication quality fluctuation stage, wherein the method comprises the following steps of: For any communication mode, intercepting a time mark sequence in the original behavior record by taking a fixed time window as a unit; calculating the variance of the transmission delay in each time window, and classifying continuous time windows lower than a preset stability threshold value in a variance sequence into a stability window cluster; identifying peak points higher than a preset fluctuation threshold in the variance sequence, and classifying each peak point and a preset number of time windows before and after the peak point into a fluctuation window cluster; combining the time periods corresponding to the stable window clusters to serve as a communication quality stable stage of the communication mode; Combining the time periods corresponding to the fluctuation window clusters to serve as a communication quality fluctuation phase of the communication mode; for each communication mode, comparing the aggregation characteristics of the transmission scale in the communication quality stable stage and the communication quality fluctuation stage, and judging whether to incorporate the transmission scale into the alternative communication mode set according to the aggregation characteristics, wherein the method comprises the following steps: calculating the centralized trend indexes of all transmission scales of the communication mode in a communication quality stable stage; calculating the discrete degree index of all transmission scales of the communication mode in the communication quality fluctuation stage; comparing the concentrated trend index with the discrete degree index, and calculating the deviation degree between the concentrated trend index and the discrete degree index; When the deviation exceeds a preset communication mode screening threshold, judging that the transmission scale of the communication mode presents significantly different aggregation characteristics in two stages, and incorporating the significantly different aggregation characteristics into an alternative communication mode set; Aiming at any communication mode in the alternative communication mode set, based on the coupling relation between the original behavior records of each terminal in a communication quality stabilization stage, calculating the topology adaptation value of each terminal in any communication mode, and specifically realizing the following steps: In a communication quality stable stage, a terminal is taken as a node, and an initial association edge between the nodes is established by taking whether time marks overlap between any two nodes and an original behavior record of transmission scale matching as a judgment basis; Calculating the weight of each initial association edge, wherein the weight is determined by the average similarity of channel states of nodes at two ends of association within the overlapping time; Constructing an initial weighted undirected graph based on all nodes and the initial association edges with weights; Performing iterative decomposition on the initial weighted undirected graph, and removing initial association edges with weights lower than a communication threshold value until no new communication components are generated in the graph; Calculating the average closeness of the initial association edge weights among all nodes in each final connected component, and taking the average closeness of the connected components of each node as a topology adaptation value of the corresponding node in the communication mode; integrating key time sequence attributes and repeated behavior frequency of original behavior records of each terminal in a communication quality fluctuation stage, and determining the topology root node level of each terminal in an alternative communication mode set by combining the topology adaptation value, wherein the steps are completed by the following steps: For any terminal, extracting time marks of each original behavior record in a communication quality fluctuation stage, and calculating an interval standard deviation between adjacent time marks to be used as a time sequence jitter degree in key time sequence attributes of the terminal; Taking the sum of repeated behavior frequency of the terminal in a communication quality fluctuation stage as a transmission robustness index in key time sequence attribute of the terminal; The topological adaptive values of the terminal in all communication modes in the alternative communication mode set are weighted and summed to obtain comprehensive fitness, wherein the weight is the use frequency of each communication mode corresponding to all communication modes in the alternative communication mode set; calculating the reciprocal of the time sequence jitter, multiplying the reciprocal by the transmission robustness index, adding the multiplied reciprocal with the comprehensive fitness, and carrying out normalized mapping on an added result to obtain the topological root node grade of the terminal; according to the topology root node level, a designated terminal is screened out to serve as a network hub node in a communication quality stable stage; Combining original behavior records of each terminal in an alternative communication mode set in a communication quality fluctuation stage, and constructing a layered routing network structure around the network hub node, wherein the layered routing network structure comprises: Each network hub node is used as a primary anchor point of the hierarchical routing network structure; For each non-hub terminal, calculating the channel state similarity and time sequence association strength between the non-hub terminal and each network hub node in a communication quality fluctuation stage, and taking the product of the channel state similarity and the time sequence association strength as the hierarchical attribution degree of the non-hub terminal to the network hub node; dividing each non-hub terminal under a network hub node with highest hierarchical attribution degree as a secondary member node of the network hub node; In a subgroup formed by each network hub node and two-level member nodes, calculating the matching degree of original behavior records of any two-level member nodes in a communication quality fluctuation stage, and if the matching degree is higher than a preset member interconnection threshold, establishing a transverse connection edge between the non-hub terminal and another non-hub terminal in the same subgroup; A hierarchical routing network structure is formed by the first-level anchor point, the second-level member node and the transverse connecting edge; And generating hierarchical control instructions aiming at terminals of different levels according to the connection characteristics of different levels in the hierarchical routing network structure.
2. 2. The method for service of a wireless power communication private network with converged multiple communication modes according to claim 1, wherein the method for monitoring transmission behaviors of each terminal in the wireless power communication private network in multiple communication modes specifically comprises: establishing independent data monitoring flow for each terminal under each communication mode; Recording the absolute time of starting to occur and the absolute time of ending to occur of each data transmission behavior, and taking the absolute time as a time mark; recording the total bit number of information carried by each data transmission behavior, and taking the total bit number as a transmission scale; acquiring the signal-to-interference-and-noise ratio and the frame error rate of a channel when the data transmission behavior occurs in real time, and taking the signal-to-interference-and-noise ratio and the frame error rate of the channel together as a channel state; the number of times that retransmission is required due to errors in each data transmission behavior is recorded, and the number of times is taken as the repetition behavior frequency.
3. 3. The method for converged power wireless communication private network service according to claim 2, wherein the selecting a designated terminal as a network hub node in a communication quality plateau according to the topology root node level comprises: In the alternative communication mode set, sequencing the topology root node level from high to low; Starting from the terminal with the highest grade, calculating the matching degree of the original behavior record of the terminal with the highest grade and all other terminals in a communication quality stable stage, wherein the matching degree is calculated based on the proportional relation between the proximity degree of the time mark and the transmission scale; if the matching degree exceeds a preset association degree threshold, the terminal with the highest grade and the matching terminal are regarded as an association pair; and sequentially selecting terminals from the ordering, if the selected terminal and any selected network hub node belong to the same association pair, skipping the selected terminal, otherwise, selecting the selected terminal as the network hub node until the number of the network hub nodes reaches the preset hub number requirement.
4. 4. The method for converged power wireless communication private network service according to claim 3, wherein generating hierarchical control instructions for terminals of different levels according to connection characteristics of different levels in the hierarchical routing network structure comprises: Generating a periodic channel detection instruction and a topology state collection instruction aiming at a network hub node serving as a primary anchor point; Aiming at the secondary member nodes, generating differentiated data forwarding strategy instructions according to the level of the level attribution between the secondary member nodes and the primary anchor points, wherein the strategy instructions comprise nodes with high attribution to bear more relay tasks; generating a cooperative transmission scheduling instruction aiming at a secondary member node pair with a transverse connection edge, wherein the instruction prescribes that partial data of another node are transmitted by one node agent in a preset time period; and packaging all the generated control instructions according to the corresponding terminal levels to form a hierarchical control instruction set.
5. 5. The method for converged power wireless communication private network service according to claim 4, wherein the calculating of the weight of each initial association edge is performed by determining the average similarity of channel states of nodes at two ends of association within overlapping time, and is specifically performed by: extracting channel states of nodes at two ends of an initial association edge in each original behavior record corresponding to the time mark overlapping part, wherein the channel states comprise channel signal-to-interference-and-noise ratio and frame error rate; For the channel state in each overlapping time, respectively calculating the absolute difference value of the signal-to-interference-and-noise ratio values of the channels of the two end nodes and the absolute difference value of the frame error rate value; Dividing the absolute difference value of the signal-to-interference-and-noise ratio of the channel and the absolute difference value of the frame error rate by the upper limit value of the preset normal fluctuation range of each signal-to-interference-and-noise ratio in all original behavior records respectively to obtain a normalized signal-to-interference-and-noise ratio difference coefficient and a normalized frame error difference coefficient; calculating the arithmetic average value of the signal-to-interference-and-noise ratio difference coefficient and the error frame difference coefficient in each overlapping time, and taking the arithmetic average value as the comprehensive difference degree corresponding to each overlapping time; Calculating the arithmetic average value of the comprehensive difference degrees of the nodes at the two ends in all overlapping time to be used as the average difference degree of the channel states between the two nodes; subtracting the average difference degree from the value 1 to obtain average similarity, and taking the average similarity as the weight of the initial association edge.

Description

Power wireless communication private network service method integrating multiple communication modes Technical Field The invention belongs to the technical field of power wireless communication networks, and particularly relates to a power wireless communication private network service method integrated by multiple communication modes. Background In a private power wireless communication network, it is common practice to integrate multiple communication modes to ensure reliable transmission of services. The prior art generally dynamically switches or weights different communication links based on real-time channel quality indicators, such as signal strength or bit error rate. In terms of network topology construction, route planning and hub node assignment are mainly performed by relying on a hierarchical relationship preset by equipment, a physical location or a fixed business master-slave architecture. These conventional methods have drawbacks. The real-time channel assessment strategy is insensitive to the stepwise changes of the network environment, and cannot distinguish the essential difference of long-term stability and short-term fluctuation, so that the communication mode selection strategy is delayed in response or frequently oscillates when the environment is suddenly changed. The network topology constructed by fixing or simply according to the geographic position is difficult to accurately reflect the real service coupling relation between terminals and the behavior reliability under the severe channel condition, so that the network structure is rigidified, the resource allocation is disjointed with the actual service flow mode, and the overall efficiency is reduced during the fluctuation of the communication quality. A method for deeply sensing the inherent periodic rule of the communication environment and dynamically optimizing communication mode selection and network topology construction according to the real historical behavior of the terminal is needed. The method needs to solve the problem of how to identify quality stability and fluctuation phases from mass transfer records, and preselect communication modes based on the difference of behavior characteristics of the cross phases. Meanwhile, how to automatically evaluate the importance of nodes and form an efficient hierarchical routing structure according to the service coupling relation of the terminal in the stationary period and the behavior time sequence characteristics of the fluctuation period is needed to be solved. Disclosure of Invention The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a power wireless communication private network service method converged by multiple communication modes, which comprises the following steps: monitoring the transmission behaviors of all terminals in the power private network in various communication modes, and extracting an original behavior record containing a time mark, a transmission scale and a channel state; clustering the original behavior records in a time dimension, and separating a communication quality stable stage and a communication quality fluctuation stage; For each communication mode, comparing the aggregation characteristics of the transmission scale of the communication mode in a communication quality stable stage and a communication quality fluctuation stage, and judging whether to bring the communication mode into an alternative communication mode set according to the aggregation characteristics; aiming at any communication mode in the alternative communication mode set, calculating a topology adaptation value of each terminal under any communication mode based on a coupling relation between original behavior records of each terminal in a communication quality stabilization stage; Integrating key time sequence attributes and repeated behavior frequency of original behavior records of each terminal in a communication quality fluctuation stage, and determining the grade of a topological root node of each terminal in an alternative communication mode set by combining the topological adaptation value; according to the topology root node level, a designated terminal is screened out to serve as a network hub node in a communication quality stable stage; Combining original behavior records of each terminal in an alternative communication mode set in a communication quality fluctuation stage, and constructing a layered routing network structure around the network hub node; And generating hierarchical control instructions aiming at terminals of different levels according to the connection characteristics of different levels in the hierarchical routing network structure. Preferably, the monitoring the transmission behavior of each terminal in the power private network in a plurality of communication modes specifically includes: establishing independent data monitoring flow for each terminal under eac