Wireless network equipment configuration method and system

Abstract

The invention is suitable for the technical field of wireless communication, and provides a wireless network equipment configuration method and system, and the method comprises the steps: obtaining a basic channel score value of a to-be-allocated channel which is to be configured to a to-be-configured terminal and originates from a signal node, and meanwhile, obtaining historical operation records of the signal nodes and tunnel structure information of the belonging tunnel structures. According to the method, the current structure complexity grade value is dynamically identified by combining the structure path characteristics between the to-be-configured terminal and the signal node, and the grade deviation amplitude for correcting the basic channel score value is constructed by taking the representative data retransmission rate in the historical operation record as a reference, so that the dynamic optimization of the channel score result is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless communications, and in particular relates to a wireless network equipment configuration method and system. Background Art

[0002] In the prior art, during the configuration process of wireless network equipment, the signal quality of available channels is usually scored so that channel resources with better communication quality can be selected during the configuration process. This scoring process mainly relies on the real-time physical parameter indicators of the target channel, such as received signal strength (RSSI), signal-to-noise ratio (SNR), interference strength, number of connections or bandwidth utilization, etc. These indicators can reflect the basic transmission status of the channel at the current time point and are widely used in conventional scenarios such as home WiFi deployment, automatic configuration of office networks, and initial access of IoT devices. However, in application scenarios with highly complex structural environments, such as closed tunnel environments, the real-time parameters based on the above methods often cannot accurately reflect the potential attenuation, obstruction, and multipath interference in the signal propagation path. Influencing factors, such as, resulting in a lack of structural adaptability in the channel scoring results, ultimately affecting the access stability of the device and the network transmission quality.

[0003] Especially in tunnel scenarios, when wireless signals propagate in structural paths, they will be affected by factors such as wall reflection, metal obstruction, crossed pipelines, and electromagnetic interference. These influences are often closely related to the structural composition of the path and have significant spatial correlation and unpredictability. However, the existing technology fails to incorporate the structural complexity of the communication path into the evaluation system during the channel scoring process, and lacks a sufficient analysis of the historical operating performance of the channel in similar structural environments, resulting in poor environmental adaptability of the configuration process. In some complex scenarios, even if a channel with a higher score is selected, problems such as unstable signals, frequent retransmissions, or access failures may still occur, significantly reducing the efficiency of equipment use and increasing manual adjustment costs. Summary of the invention

[0004] The purpose of the present invention is to provide a wireless network device configuration method and system, aiming to solve the problems raised in the background technology.

[0005] The present invention is implemented as follows: a method for configuring a wireless network device, the method comprising:

[0006] Obtaining a basic channel score value of a channel to be allocated from a signal node to which the terminal is to be configured, and obtaining a historical operation record of the signal node and tunnel structure information of the tunnel structure to which the terminal belongs;

[0007] Analyze the tunnel structure information, respectively determine the first identification area and the second identification area of the terminal to be configured and the signal node, and determine the current structure complexity level value based on the distance path structure between the first identification area and the second identification area;

[0008] Analyze the historical operation records, extract several section operation records of the channel to be allocated under different structure complexity level values, and sequentially analyze each section operation record to determine the matching section operation record in which the data retransmission rate is at the middle quantile level;

[0009] Calculate the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the matching section operation record, and correct the basic channel score value according to the level deviation amplitude.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, the steps of analyzing the tunnel structure information, respectively determining the first identification area and the second identification area of the terminal to be configured and the signal node, and determining the current structure complexity level value based on the distance path structure between the first identification area and the second identification area include:

[0011] Obtain the location information of the terminal to be configured and the signal node;

[0012] Analyze the tunnel structure information, determine the first identification area and the second identification area corresponding to the location information of the terminal to be configured and the signal node respectively, and obtain the distance path structure between the first identification area and the second identification area;

[0013] Call a preset reference model to match the distance path structure to determine the current structure complexity level value.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the preset reference model is a comparison model for establishing a one-to-one correspondence between the tunnel path structure and the structure complexity level, and the preset reference model includes the structure complexity level values corresponding to different path lengths, path turning times, wall material types, metal coverage ratios of the areas passed by the path, the number and distribution density of signal blockers, and the number of cross pipelines.

[0015] As a further limitation of the technical solution of the embodiment of the present invention, the steps of analyzing the historical operation records, extracting several section operation records of the channel to be allocated under different structure complexity level values, and sequentially analyzing each section operation record to determine the matching section operation record in which the data retransmission rate is at the middle quantile level include:

[0016] Analyze the historical operation records, and extract several section operation records of the channel to be allocated under each structure complexity level value from low to high;

[0017] Parse the operation records of each section in sequence to determine the data retransmission rate corresponding to the to-be-allocated channel within a preset time period;

[0018] Compare the data retransmission rates to identify the matching section operation records at the intermediate quantile level.

[0019] As a further limitation of the technical solution of the embodiment of the present invention, the steps of calculating the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the matching section operation record, and correcting the basic channel score value according to the level deviation amplitude include:

[0020] Calculate the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the matching section operation record, and use it as a correction factor;

[0021] Call a preset channel score value correction formula, substitute the correction factor into the formula, and correct the basic channel score value to obtain a corrected channel score value.

[0022] As a further limitation of the technical solution of the embodiment of the present invention, the preset channel score value correction formula is: , where refers to the corrected channel score value, refers to the basic channel score value, refers to the current structure complexity level value, refers to the structure complexity level value corresponding to the matching section operation record, refers to the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the matching section operation record, refers to the adjustment coefficient corresponding to the level deviation amplitude.

[0023] A wireless network device configuration system, the system includes: a data acquisition module, a structure information parsing module, a historical record parsing module, and a score value correction module, where:

[0024] The data acquisition module is used to obtain the basic channel score value of the to-be-allocated channel sourced from the signal node to be configured to the to-be-configured terminal, and at the same time obtain the historical operation record of the signal node and the tunnel structure information of the affiliated tunnel structure;

[0025] The structure information parsing module is used to parse the tunnel structure information, respectively determine the first identification area and the second identification area of the to-be-configured terminal and the signal node, and determine the current structure complexity level value based on the distance path structure between the first identification area and the second identification area;

[0026] A historical record parsing module, configured to parse historical operation records, extract several section operation records of the channel to be allocated at different structural complexity level values, and sequentially parse each section operation record to determine a matching section operation record whose data retransmission rate is at the middle quantile level;

[0027] A scoring value correction module, configured to calculate the level deviation amplitude between the current structural complexity level value and the structural complexity level value corresponding to the matching section operation record, and correct the basic channel scoring value according to the level deviation amplitude.

[0028] As a further limitation of the technical solution of the embodiment of the present invention, the structure information parsing module specifically includes:

[0029] A position information acquisition unit, configured to acquire the position information of the terminal to be configured and the signal node;

[0030] A path structure acquisition unit, configured to parse the tunnel structure information, determine a first identification area and a second identification area corresponding to the position information of the terminal to be configured and the signal node respectively, and acquire the spacing path structure between the first identification area and the second identification area;

[0031] A structural complexity determination unit, configured to call a preset reference model to match the spacing path structure to determine the current structural complexity level value; the preset reference model is a comparison model for establishing a one-to-one correspondence between the tunnel path structure and the structural complexity level, and the preset reference model includes the corresponding structural complexity level values under different conditions of path length, number of path turns, wall material type, metal coverage ratio of the area passed by the path, number and distribution density of signal blockers, and number of cross pipelines.

[0032] As a further limitation of the technical solution of the embodiment of the present invention, the historical record parsing module specifically includes:

[0033] A section operation record acquisition unit, configured to parse historical operation records and extract several section operation records of the channel to be allocated at each structural complexity level value from low to high;

[0034] A data retransmission rate determination unit, configured to sequentially parse each section operation record to determine the data retransmission rate corresponding to the channel to be allocated within a preset time period;

[0035] A data retransmission rate comparison unit, configured to compare the data retransmission rates and identify a matching section operation record at the middle quantile level.

[0036] As a further limitation of the technical solution of the embodiment of the present invention, the scoring value correction module specifically includes:

[0037] A correction factor determination unit for calculating the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the operation record of the matching section, and using it as the correction factor;

[0038] A channel score value correction unit for calling a preset channel score value correction formula, substituting the correction factor into the formula, and correcting the basic channel score value to obtain the corrected channel score value;

[0039] The preset channel score value correction formula is: , where refers to the corrected channel score value, refers to the basic channel score value, refers to the current structure complexity level value, refers to the structure complexity level value corresponding to the operation record of the matching section, refers to the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the operation record of the matching section, refers to the adjustment coefficient corresponding to the level deviation amplitude.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The present invention dynamically identifies the current structure complexity level value by combining the structural path characteristics between the terminal to be configured and the signal node, and constructs a level deviation amplitude for correcting the basic channel score value with reference to the representative data retransmission rate in the historical operation record, so as to realize the dynamic optimization of the channel score result. This method effectively solves the problem that the traditional channel scoring method does not consider the structural environment differences, avoids the decline of communication quality caused by inaccurate scoring, and significantly improves the configuration accuracy and operation stability of wireless network devices in complex tunnel structures. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flowchart of the method provided by the embodiment of the present invention;

[0043] Figure 2 is a flowchart of determining the current structure complexity level value in the method provided by the embodiment of the present invention;

[0044] Figure 3 is a flowchart of finding the operation record of the matching section in the method provided by the embodiment of the present invention;

[0045] Figure 4 is a flowchart of correcting the basic channel score value in the method provided by the embodiment of the present invention;

[0046] Figure 5It is the application architecture diagram of the system provided by the embodiment of the present invention;

[0047] Figure 6 It is the structural block diagram of the structure information parsing module in the system provided by the embodiment of the present invention;

[0048] Figure 7 It is the structural block diagram of the historical record parsing module in the system provided by the embodiment of the present invention;

[0049] Figure 8 It is the structural block diagram of the score value correction module in the system provided by the embodiment of the present invention. Detailed implementation manners

[0050] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] Figure 1 It shows the flowchart of the method provided by the embodiment of the present invention.

[0052] Specifically, a method for configuring a wireless network device, the method specifically includes the following steps:

[0053] Step S100, obtain the basic channel score value of the to-be-allocated channel sourced from the affiliated signal node to be configured to the to-be-configured terminal, and at the same time obtain the historical operation record of the signal node and the tunnel structure information of the affiliated tunnel structure.

[0054] In the embodiment of the present invention, the method for configuring a wireless network device is applicable to tunnel scenarios, including but not limited to communication deployment requirements in closed or semi-closed environments such as subway construction tunnels, highway tunnels, power tunnels, and pipe gallery tunnels. The to-be-configured terminal can be various communication terminal devices deployed in the tunnel structure and needing to access the wireless network system, such as mobile construction monitoring terminals, environmental sensor nodes, image acquisition modules, wireless data repeaters, emergency contact terminals, mobile robot terminals, or other devices with wireless communication capabilities.

[0055] The signal node refers to a network node device deployed in the tunnel structure and having wireless signal transmission and communication scheduling capabilities, and can be a device that plays a signal source role in the network such as a tunnel master AP (access point), an edge gateway device, a wireless relay base station, etc. The to-be-allocated channel refers to the wireless communication channel that the signal node can currently use to provide a communication connection for the target terminal, such as a certain frequency band channel in the WiFi network, the channel number or frequency resource site under the Internet of Things protocols such as 5G / LoRa, and the specific type can be selected according to the wireless communication protocol.

[0056] The basic channel score value refers to the channel score reference value generated by the system for the channel to be allocated based on the target signal node in the current environment. This score value is used to characterize the communication quality, stability, and interference situation of the channel. This score value can be generated according to the channel evaluation methods widely used in the prior art. For example, by comprehensively considering factors such as the real-time RSSI (Received Signal Strength), SNR (Signal-to-Noise Ratio), current connection number, historical congestion situation, packet loss rate, and spectrum interference intensity of the channel in the target area, through mechanisms such as linear weighting, neural network fitting, or rule matching, a numerical score result is output. Such channel scoring mechanisms are generally already available in existing communication systems and are commonly used in dynamic channel selection, automatic frequency hopping decision-making, and load balancing scheduling.

[0057] The historical operation record of the signal node refers to the operation data log recorded by the signal node within a preset historical period, including but not limited to the signal transmission performance data of different channels in environments with different structural complexities, such as channel usage status, historical data retransmission rate, instantaneous throughput rate, connection stability, interference event records, etc. The tunnel structure information refers to the data set used to describe the path structure characteristics in the tunnel structure to which the signal node belongs. The tunnel structure information can be obtained by parsing the BIM information of the tunnel building or other structural drawing data. The BIM information contains the construction details of the tunnel structure in different spatial regions, and can provide parameter characteristics related to signal propagation, such as path length, number of path turns, wall material type, metal coverage ratio of the area passed by the path, number of signal blockers and their distribution density, number of cross pipelines, etc., as well as the corresponding location information for different regions.

[0058] Furthermore, the wireless network device configuration method further includes the following steps:

[0059] Step S200, parse the tunnel structure information, respectively determine the first identification area and the second identification area of the terminal to be configured and the signal node, and determine the current structure complexity level value based on the spacing path structure between the first identification area and the second identification area.

[0060] Specifically, Figure 2 The flowchart of determining the current structure complexity level value is shown.

[0061] Among them, parsing the tunnel structure information, respectively determining the first identification area and the second identification area of the terminal to be configured and the signal node, and determining the current structure complexity level value based on the spacing path structure between the first identification area and the second identification area specifically includes the following steps:

[0062] Step S201, obtain the location information of the terminal to be configured and the signal node;

[0063] Step S202: Analyze the tunnel structure information, determine the first identification area and the second identification area corresponding to the position information of the terminal to be configured and the signal node respectively, and obtain the spacing path structure between the first identification area and the second identification area.

[0064] Step S203: Invoke a preset reference model to match the spacing path structure to determine the current structure complexity level value.

[0065] The preset reference model is a control model used to establish a one-to-one correspondence between the tunnel path structure and the structure complexity level. The preset reference model includes the corresponding structure complexity level values under different conditions of path length, number of path turns, wall material type, metal coverage ratio of the area passed by the path, number and distribution density of signal blockers, and number of cross pipelines.

[0066] In the embodiments of the present invention, the position information of the terminal to be configured and the signal node can be obtained by various existing technical means. Specifically, when the terminal to be configured is a mobile device, its position information can be obtained through an inertial navigation system, ultra-wideband positioning (UWB), Bluetooth AoA positioning, WiFi RSSI positioning, or Beidou / GPS system; when the terminal to be configured is a fixed-deployed device, its position information can be directly marked and stored in the management system through a BIM modeling system, digital map, or construction drawings during the device installation phase. As a fixed communication facility in the network structure, the position information of the signal node is usually preset in the network management system during the system deployment phase and can be directly invoked.

[0067] In practical applications, after obtaining the respective position information of the terminal to be configured and the signal node, the system can project them onto the corresponding tunnel structure model. The process of analyzing the tunnel structure information is preferably carried out based on BIM data or a digital three-dimensional tunnel model. The BIM information contains the structure labels, spatial topological relationships, and construction parameters of each area of the tunnel. By invoking the position information and the spatial division rules in the BIM model, the first identification area and the second identification area corresponding to the terminal to be configured and the signal node can be located respectively.

[0068] The process of obtaining the spacing path structure between the first identification area and the second identification area includes: extracting the shortest or preset propagation path from the first identification area to the second identification area based on the tunnel three-dimensional structure model, traversing all the structural sections passed by this path, and extracting the path length, turning position, wall type, metal coverage rate, blocker distribution, and cross-member information of each structural section, so as to form the spacing path structure.

[0069] The preset reference model is a structure mapping model used to establish a one-to-one correspondence between the tunnel path structure and the structural complexity level. The model can output a unique structural complexity level value according to different combinations of path structure parameters. The reference model can be established based on one or a combination of the following two methods:

[0070] On the one hand, it can be constructed through an expert experience model based on rule setting. That is, by combining the existing tunnel signal propagation principle and engineering experience, set the influence weights of several path structure parameters (including path length, number of path turns, wall material type, metal coverage ratio, number and distribution density of signal blockers, number of cross pipelines) on signal propagation complexity. By constructing a rule matrix or a polynomial scoring function, input the above parameters into the corresponding formula for weighted scoring, and finally divide the scoring results into several structural complexity level intervals, with each combination corresponding to a unique level value.

[0071] On the other hand, it can also be constructed through a data-driven method. Collect historical propagation performance and structural parameter data samples in different types of tunnel environments, and use regression analysis, clustering algorithms or lightweight neural networks for model training and classification to form a model system that can automatically judge the structural complexity level according to the actual path structure characteristics. This method has a certain adaptive ability and can continuously optimize the model accuracy as the data scale expands.

[0072] The above preset reference model can be constructed through the structural feature extraction and level scoring modules integrated in existing tunnel BIM systems, communication simulation platforms (such as WirelessInSite) or communication network deployment software.

[0073] Furthermore, the wireless network device configuration method further includes the following steps:

[0074] Step S300, parse the historical operation records, extract several section operation records of the channel to be allocated under different structural complexity level values, parse each section operation record in turn, and determine the matching section operation record with the data retransmission rate at the median level.

[0075] Specifically, Figure 3 The flowchart of finding the matching section operation record is shown.

[0076] Among them, parsing the historical operation records, extracting several section operation records of the channel to be allocated under different structural complexity level values, parsing each section operation record in turn, and determining the matching section operation record with the data retransmission rate at the median level specifically includes the following steps:

[0077] Step S301, parse the historical operation records, and extract several section operation records of the channel to be allocated under each structural complexity level value from low to high;

[0078] Step S302: Analyze each section operation record in sequence to determine the data retransmission rate corresponding to the channel to be allocated within a preset time period.

[0079] Step S303: Compare the data retransmission rates to identify the matching section operation records at the intermediate percentile level.

[0080] In the embodiment of the present invention, Step S301 includes the following process: Based on the historical operation records of the signal node, filter out the data items that use the channel to be allocated for communication in all records, and classify and sort different level intervals in combination with the corresponding structure complexity level annotation information in the historical records. The structure complexity level values can correspond one by one to the classification system in the preset reference model. For each level interval, further identify multiple communication path sections actually existing at this level, extract the corresponding operation records, and form several sets of section operation records. Each section operation record includes content such as channel number, path structure identifier, timestamp, and channel operation performance data.

[0081] The preset time period refers to the historical interval length for statistical analysis of the data retransmission rate, and its setting can be configured according to the requirements of the network system for extracting historical performance characteristics, in combination with the scenario complexity and device operation frequency. For example, for terminals with high daily operation frequencies, records within the past 1 day or 3 days can be selected; for intermittently operating devices, it can be set to a longer period such as 7 days or 30 days to ensure the representativeness and stability of the sample data. The preset time period can be a fixed time window or a sliding time window based on the number of communications.

[0082] The data retransmission rate can be obtained by parsing the communication log fields in each section operation record. This field records the packet transmission situation between the signal node and the terminal within the preset time period, including the total number of successfully sent packets and the number of actually received and confirmed packets. The data retransmission rate is calculated based on the ratio of the cumulative number of retransmission events to the total number of transmissions, reflecting the stability level of the communication link under this path structure.

[0083] Identifying the matching section operation records at the intermediate percentile level aims to select representative data samples for comparison, thereby avoiding biases caused by using extreme data. If the operation records with the lowest or highest data retransmission rates are directly selected, the evaluation results may not be universal due to accidental external factors. Selecting the operation records at the intermediate percentile level can better reflect the typical operation performance of the channel to be allocated at this complexity level, making the subsequent score correction based on this record more stable and scientific. In addition, using data at the intermediate percentile level can reduce the risk of being affected by abnormal interference values and enhance the adaptability of the evaluation results to complex structural environments.

[0084] The metrics for characterizing the channel operation stability can be not only the data retransmission rate, but also other representative data performance metrics selected according to specific application requirements, including but not limited to the average round-trip delay, packet loss rate, connection interruption frequency, number of ACK confirmation failures, throughput rate fluctuation range, signal-to-noise ratio fluctuation range, etc.; the above metrics can all be extracted from the historical operation records, and can reflect the communication reliability and link stability of the channel to be allocated at a specific structural complexity level value from different perspectives, and are used to replace or supplement the data retransmission rate to construct a screening basis for matching the section operation records.

[0085] Furthermore, the wireless network device configuration method further includes the following steps:

[0086] Step S400, calculate the level deviation amplitude between the current structural complexity level value and the structural complexity level value corresponding to the matching section operation record, and correct the basic channel score value according to the level deviation amplitude.

[0087] Specifically, Figure 4 The flowchart showing the correction of the basic channel score value is shown.

[0088] Among them, calculating the level deviation amplitude between the current structural complexity level value and the structural complexity level value corresponding to the matching section operation record, and correcting the basic channel score value according to the level deviation amplitude specifically includes the following steps:

[0089] Step S401, calculate the level deviation amplitude between the current structural complexity level value and the structural complexity level value corresponding to the matching section operation record, and use it as the correction factor;

[0090] Step S402, call the preset channel score value correction formula, substitute the correction factor into the formula, and correct the basic channel score value to obtain the corrected channel score value.

[0091] The preset channel score value correction formula is: , where refers to the corrected channel score value, refers to the basic channel score value, refers to the current structural complexity level value, refers to the structural complexity level value corresponding to the matching section operation record, refers to the level deviation amplitude between the current structural complexity level value and the structural complexity level value corresponding to the matching section operation record, refers to the adjustment coefficient corresponding to the level deviation amplitude.

[0092] In an embodiment of the present invention, by calculating the grade deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the operation record of the matching section, and using it as a correction factor to adjust the basic channel score value, the scientificity and adaptability of the channel score result in tunnel-like scenarios can be effectively improved. The core significance of this step lies in that the current structure complexity level value reflects the complexity of the propagation environment of the actual path where the target device is located, while the structure complexity level value corresponding to the operation record of the matching section is a relatively stable reference value in historical operation data. If there is a large grade difference between the two, it means that directly using the basic channel score value may underestimate or overestimate the true performance of this channel in the current path. By introducing the grade deviation amplitude as a correction factor, the transformation of the channel score result from static estimation to dynamic adaptation can be achieved, thereby solving the problem that the traditional scoring method fails to fully reflect the change in signal propagation complexity caused by the difference in the structural path, and avoiding the instability of the connection or the decline in communication quality caused by inaccurate channel selection.

[0093] In this embodiment, as shown in the above formula, the correction of the channel score value adopts a proportional factor weighted adjustment method based on the grade deviation amplitude. Specifically, the basic channel score value is multiplied by a correction term, and the correction term is calculated from the relative difference between the grade deviation value and the reference grade value, and a regulation coefficient is introduced as a regulation amplitude control parameter. This correction formula is a schematic expression method to reflect the direct influence relationship of the grade deviation on the channel score value. In practical applications, other forms of correction calculation methods can also be used, such as the exponential decay method, polynomial offset function, neural network regression model, non-linear interpolation mechanism between grades, etc. as alternative solutions to flexibly select the optimal score adjustment method according to the system deployment scenario, sample training results or safety redundancy requirements.

[0094] To sum up, a wireless network device configuration method provided by the present invention can achieve dynamic correction and refined evaluation of the channel score value in a complex structure environment such as a tunnel, fully combine the comparison result between the structure complexity level information of the current path where the target device is located and the representative stable operation samples in historical operation data, establish a correction factor, and improve the accuracy and adaptability of channel selection through a score adjustment mechanism, solving the problem in the prior art that the channel scoring mechanism only relies on real-time signal parameters and ignores the influence of the structural path difference, resulting in inaccurate channel selection, unstable network connection or fluctuating communication quality, significantly improving the configuration efficiency and communication stability of wireless network devices in complex structure scenarios, and having good engineering practical value and promotion prospects.

[0095] Furthermore, Figure 5 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0096] Among them, in another preferred embodiment provided by the present invention, a wireless network device configuration system includes:

[0097] A data acquisition module 100, configured to acquire the basic channel score value of the to-be-allocated channel originating from the affiliated signal node to be configured to the to-be-configured terminal, and at the same time acquire the historical operation record of the signal node and the tunnel structure information of the affiliated tunnel structure.

[0098] Furthermore, the wireless network device configuration system further includes:

[0099] A structure information parsing module 200, configured to parse the tunnel structure information, respectively determine the first identification area and the second identification area of the to-be-configured terminal and the signal node, and determine the current structure complexity level value based on the spacing path structure between the first identification area and the second identification area.

[0100] Specifically, Figure 6 Fig. shows the structural block diagram of the structure information parsing module 200 in the system provided by the embodiment of the present invention.

[0101] Among them, in the preferred embodiment provided by the present invention, the structure information parsing module 200 specifically includes:

[0102] A location information acquisition unit 201, configured to acquire the location information of the to-be-configured terminal and the signal node;

[0103] A path structure acquisition unit 202, configured to parse the tunnel structure information, determine the first identification area and the second identification area corresponding to the location information of the to-be-configured terminal and the signal node respectively, and acquire the spacing path structure between the first identification area and the second identification area;

[0104] A structure complexity determination unit 203, configured to call a preset reference model to match the spacing path structure to determine the current structure complexity level value; the preset reference model is a control model for establishing a one-to-one correspondence between the tunnel path structure and the structure complexity level, and the preset reference model includes the structure complexity level values corresponding to different conditions of path length, number of path turns, wall material type, metal coverage ratio of the area passed by the path, number and distribution density of signal blockers, and number of cross pipelines.

[0105] Furthermore, the wireless network device configuration system further includes:

[0106] A historical record parsing module 300, configured to parse the historical operation record, extract several section operation records of the to-be-allocated channel under different structure complexity level values, parse each section operation record in sequence, and determine the matching section operation record in which the data retransmission rate is at the middle quantile level.

[0107] Specifically, Figure 7 FIG. shows a structural block diagram of the historical record parsing module 300 in the system provided by an embodiment of the present invention.

[0108] Among them, in the preferred embodiment provided by the present invention, the historical record parsing module 300 specifically includes:

[0109] A section operation record acquisition unit 301, configured to parse historical operation records and extract several section operation records of the channel to be allocated at each structure complexity level value from low to high;

[0110] A data retransmission rate determination unit 302, configured to parse each section operation record in sequence to determine the data retransmission rate corresponding to the channel to be allocated within a preset time period;

[0111] A data retransmission rate comparison unit 303, configured to compare the data retransmission rates and identify the matching section operation records at the intermediate percentile level.

[0112] Further, the wireless network device configuration system further includes:

[0113] A score value correction module 400, configured to calculate the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the matching section operation record, and correct the basic channel score value according to the level deviation amplitude.

[0114] Specifically, Figure 8 FIG. shows a structural block diagram of the score value correction module 400 in the system provided by an embodiment of the present invention.

[0115] Among them, in the preferred embodiment provided by the present invention, the score value correction module 400 specifically includes:

[0116] A correction factor determination unit 401, configured to calculate the level deviation amplitude between the current structure complexity level value and the structure complexity level value corresponding to the matching section operation record, and use it as a correction factor;

[0117] A channel score value correction unit 402, configured to call a preset channel score value correction formula, substitute the correction factor into the formula, and correct the basic channel score value to obtain a corrected channel score value;

[0118] The preset channel score value correction formula is: , where refers to the corrected channel score value, refers to the basic channel score value, refers to the current structure complexity level value, refers to the structure complexity level value corresponding to the matching section operation record, It refers to the grade deviation range between the current structural complexity level value and the structural complexity level value corresponding to the operation record of the matching section. It refers to the adjustment coefficient corresponding to the grade deviation range.

[0119] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the indications of the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily have to be executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages does not necessarily have to be sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0120] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0121] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0122] The above-described embodiments merely represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

[0123] The foregoing is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A wireless network device configuration method, characterized in that: The method comprises: Obtaining a basic channel score value of a channel to be allocated from a signal node to which the terminal is to be configured, and obtaining a historical operation record of the signal node and tunnel structure information of the tunnel structure to which the terminal belongs; Parse the tunnel structure information, determine the first identification area and the second identification area of ​​the terminal to be configured and the signal node respectively, and determine the current structure complexity level value based on the spacing path structure between the first identification area and the second identification area; Parse the historical operation records, extract several segment operation records of the channel to be allocated at different structure complexity level values, parse each segment operation record in turn, and determine the matching segment operation record in which the data retransmission rate is at the middle quantile level; Calculate the level deviation between the current structural complexity level value and the structural complexity level value corresponding to the matching segment operation record, and correct the basic channel score value according to the level deviation.

2. The wireless network device configuration method according to claim 1, characterized in that: The steps of parsing the tunnel structure information, respectively determining the first identification area and the second identification area of ​​the terminal to be configured and the signal node, and determining the current structure complexity level value based on the spacing path structure between the first identification area and the second identification area include: Obtain location information of the terminal to be configured and the signal node; Parse the tunnel structure information, determine the first identification area and the second identification area corresponding to the location information of the terminal to be configured and the signal node respectively, and obtain the spacing path structure between the first identification area and the second identification area; The preset reference model is called to match the spacing path structure to determine the current structure complexity level value.

3. The wireless network device configuration method according to claim 2, characterized in that: The preset reference model is a reference model used to establish a one-to-one correspondence between the tunnel path structure and the structural complexity level. The preset reference model includes the structural complexity level values ​​corresponding to different path lengths, number of path turns, wall material types, metal coverage ratios of the areas passed by the path, the number of signal blockers and their distribution density, and the number of crossing pipelines.

4. The wireless network device configuration method according to claim 1, characterized in that: The steps of parsing historical operation records, extracting a plurality of segment operation records of the to-be-allocated channel at different structural complexity level values, parsing each segment operation record in turn, and determining a matching segment operation record in which the data retransmission rate is at an intermediate quantile level include: Analyze historical operation records and extract several segment operation records of the channel to be allocated at various structural complexity levels from low to high; Analyze the operation records of each section in turn to determine the data retransmission rate corresponding to the channel to be allocated within a preset time period; Data retransmission rates are compared to identify matching segment run records at the middle quantile level.

5. The wireless network device configuration method according to claim 1, characterized in that: The steps of calculating the level deviation between the current structure complexity level value and the structure complexity level value corresponding to the matching segment operation record, and correcting the basic channel score value according to the level deviation include: Calculate the level deviation between the current structural complexity level value and the structural complexity level value corresponding to the matching section operation record, and use it as a correction factor; The preset channel score value correction formula is called, and the correction factor is substituted into the formula to correct the basic channel score value to obtain the corrected channel score value.

6. The wireless network device configuration method according to claim 5, characterized in that: The preset channel score value correction formula is: ,in refers to the corrected channel score value, Refers to the basic channel score value, Refers to the current structural complexity level value, Refers to the structural complexity level value corresponding to the matching segment operation record. Refers to the level deviation between the current structural complexity level value and the structural complexity level value corresponding to the matching segment operation record. Refers to the adjustment coefficient corresponding to the level deviation amplitude.

7. A wireless network device configuration system, characterized in that: The system includes: a data acquisition module, a structural information analysis module, a historical record analysis module and a score value correction module, wherein: A data acquisition module is used to obtain the basic channel score value of the channel to be allocated to the terminal to be configured and originating from the signal node to which it belongs, and to obtain the historical operation record of the signal node and the tunnel structure information of the tunnel structure to which it belongs; A structure information parsing module, used to parse the tunnel structure information, determine the first identification area and the second identification area of ​​the terminal to be configured and the signal node respectively, and determine the current structure complexity level value based on the spacing path structure between the first identification area and the second identification area; A historical record parsing module is used to parse historical operation records, extract several segment operation records of the channel to be allocated at different structural complexity level values, parse each segment operation record in turn, and determine the matching segment operation record in which the data retransmission rate is at the middle quantile level; The scoring value correction module is used to calculate the level deviation between the current structural complexity level value and the structural complexity level value corresponding to the matching segment operation record, and correct the basic channel scoring value according to the level deviation.

8. The wireless network device configuration system according to claim 7, characterized in that: The structural information parsing module specifically includes: A location information acquisition unit, used to acquire location information of the terminal to be configured and the signal node; A path structure acquisition unit, used to parse the tunnel structure information, determine the first identification area and the second identification area corresponding to the location information of the terminal to be configured and the signal node respectively, and acquire the spacing path structure between the first identification area and the second identification area; The structural complexity determination unit is used to call a preset reference model to match the spacing path structure to determine the current structural complexity level value; the preset reference model is a reference model used to establish a one-to-one correspondence between the tunnel path structure and the structural complexity level, and the preset reference model includes structural complexity level values ​​corresponding to different path lengths, number of path turns, wall material types, metal coverage ratios of the areas passed by the path, the number of signal blockers and their distribution density, and the number of crossing pipelines.

9. The wireless network device configuration system according to claim 8, characterized in that: The historical record parsing module specifically includes: A section operation record acquisition unit is used to parse the historical operation records and extract a number of section operation records of the channel to be allocated at various structural complexity level values ​​from low to high; A data retransmission rate determination unit, used to analyze the operation records of each section in turn and determine the data retransmission rate corresponding to the channel to be allocated within a preset time period; The data retransmission rate comparison unit is used to compare the data retransmission rates and identify the matching segment operation records at the middle percentile level.

10. The wireless network device configuration system according to claim 9, characterized in that: The score value correction module specifically includes: A correction factor determination unit is used to calculate the level deviation between the current structural complexity level value and the structural complexity level value corresponding to the matching section operation record, and use it as a correction factor; A channel score value correction unit is used to call a preset channel score value correction formula, substitute the correction factor into the formula, correct the basic channel score value, and obtain a corrected channel score value; The preset channel score value correction formula is: ,in refers to the corrected channel score value, Refers to the basic channel score value, Refers to the current structural complexity level value, Refers to the structural complexity level value corresponding to the matching segment operation record. Refers to the level deviation between the current structural complexity level value and the structural complexity level value corresponding to the matching segment operation record. Refers to the adjustment coefficient corresponding to the level deviation amplitude.

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