Mobile route bridging analysis method and system

Abstract

The invention relates to the technical field of route bridging analysis, in particular to a mobile route bridging analysis method and system. The method comprises the following steps: acquiring construction scene information and equipment planning information, analyzing the construction scene information and the equipment planning information, and determining scene interference information; acquiring node equipment information, analyzing scene interference information and the node equipment information, performing low-interference distribution planning on a plurality of main nodes and a plurality of auxiliary nodes, and determining basic distribution information of the main and auxiliary nodes; obtaining dynamic scene change information, analyzing the dynamic scene change information based on the primary and secondary node basic distribution information, and determining a node dynamic adjustment strategy; and performing real-time adjustment on the plurality of main nodes and the plurality of auxiliary nodes according to the node dynamic adjustment strategy, and outputting an adjustment report. According to the method and the device, the mobile routing bridging network can dynamically adapt to real-time changing network requirements in a scene, and the experience of network users is further improved.

Description

Technical Field

[0001] The present application relates to the technical field of routing bridging analysis, and in particular to a mobile routing bridging analysis method and system. Background Art

[0002] With the development and popularization of wireless network technology, users' demand for network access anytime and anywhere is increasing rapidly. Mobile routers, as a portable wireless network access device, can meet users' needs for network access in different scenarios and provide users with convenient network connection. It has broad development prospects.

[0003] Mobile routing is widely used in the process of setting up temporary networks. Bridging technology based on mobile routing can quickly build temporary networks within the user's range. However, due to the high uncertainty of network usage scenarios for mobile routing, the general planning method of mobile routing bridging solutions in existing technologies cannot provide a good network experience for group users in complex scenarios. Summary of the invention

[0004] The present application provides a mobile routing bridging analysis method and system to solve the above technical problems.

[0005] In a first aspect, the present application provides a mobile routing bridging analysis method, the method comprising: Acquire scene construction information and equipment planning information, analyze the scene construction information and the equipment planning information, and determine scene interference information; acquire node equipment information, analyze the scene interference information and the node equipment information, perform low-interference distribution planning for a number of main nodes and a number of secondary nodes, and determine basic distribution information of the main and secondary nodes; acquire dynamic scene change information, analyze the dynamic scene change information based on the basic distribution information of the main and secondary nodes, and determine a node dynamic adjustment strategy; perform real-time adjustment on a number of the main nodes and a number of the secondary nodes according to the node dynamic adjustment strategy, and output an adjustment report.

[0006] Through this solution, the construction scene information and equipment planning information are analyzed to determine the scene interference information that reflects the static interference to the wireless signal in the scene. On this basis, combined with the node equipment information, low-interference distribution planning is carried out for several main nodes and sub-nodes to determine the basic distribution information of the main and sub-nodes at different distribution positions of the main nodes and sub-nodes in the scene. While ensuring the coverage of the mobile routing bridging network, the interference of the scene to the wireless network signal is significantly reduced. Based on the dynamic scene change information that reflects the dynamic changes in network requirements in the scene, the role switching requirements between different main nodes and sub-nodes are analyzed to obtain the node dynamic adjustment strategy. According to the node dynamic adjustment strategy, the main nodes and sub-nodes are adjusted in real time, and an adjustment report is output, so that the mobile routing bridging network can dynamically adapt to the real-time changing network requirements in the scene, further improve the experience of network users, and enable network construction users to clearly understand the performance of the mobile routing bridging network.

[0007] Optionally, the scene construction information includes scene plane information and scene annotation information, the equipment planning information includes equipment location information and interference equipment information, and the analysis of the scene construction information and the equipment planning information to determine the scene interference information includes: analyzing the scene plane information to determine obstacle location distribution information and obstacle thickness information; based on the obstacle location distribution information, analyzing the scene annotation information and the obstacle thickness information to determine an obstacle interference factor data set; based on the scene plane information, analyzing the obstacle location distribution information and the equipment location information to determine a routing placement area; dividing the routing placement area according to preset unit routing coverage information to determine a number of pre-placement areas; based on the equipment location information, analyzing the interference equipment information to determine a device interference factor data set; determining the scene interference information based on the obstacle interference factor data set, the several pre-placement areas, and the equipment interference factor data set.

[0008] Through this solution, the scene annotation information related to the structural obstacles in the scene and the obstacle thickness information are analyzed respectively to obtain an obstacle interference factor data set reflecting the degree of interference of the structural obstacles on the wireless network signal. At the same time, the interference device information related to the device interference in the scene is analyzed to obtain a device interference factor data set reflecting the degree of interference of the wireless device on the wireless network signal. In addition, the area where the mobile router can be placed is divided to obtain several pre-placement areas, and the obstacle interference factor data set, several pre-placement areas and the device interference factor data set are combined to obtain the scene interference information reflecting the comprehensive interference state of the current scene on the wireless signal, so that the scene interference information is more comprehensive and accurate, and a scientific data basis is provided for the subsequent analysis of the mobile router deployment location.

[0009] Optionally, the determining of the obstacle interference factor data set by analyzing the scene annotation information and the obstacle thickness information based on the obstacle position distribution information includes: determining the material type of each structural obstacle in the scene according to the scene annotation information; determining the unit material penetration loss of each structural obstacle according to the material type of each structural obstacle; extracting the obstacle penetration distance of each structural obstacle according to the obstacle thickness information; determining the obstacle interference factor corresponding to each structural obstacle based on the unit material penetration loss and the obstacle penetration distance; constructing the obstacle interference factor data set based on the obstacle position distribution information, taking the position information of each structural obstacle as an index and the obstacle interference factor of each structural obstacle as a corresponding element; determining the obstacle interference factor corresponding to each structural obstacle based on the unit material penetration loss and the obstacle penetration distance is specifically the following formula: ; in, For the current The obstacle interference factor of the structural obstacle, is the preset path loss index, For the current The obstacle penetration distance of a structural obstacle, To preset the limit penetration distance, For the current The penetration loss of the specified material per structural obstacle.

[0010] Through this scheme, mathematical analysis is used to accurately quantify the obstacle interference factor corresponding to each structural obstacle based on the unit material penetration loss and obstacle penetration distance, starting from the spatial propagation loss of wireless network signals and material penetration loss. The obstacle interference factor can accurately describe the degree of interference of different structural obstacles on wireless network signals. At the same time, the location information of each structural obstacle is used as the index, and the obstacle interference factor of each structural obstacle is used as the corresponding element to construct an obstacle interference factor data set, which is convenient for the subsequent accurate analysis of the distribution of obstacle interference factors in the scene.

[0011] Optionally, the device location information is based on analyzing the interference device information to determine the device interference factor data set, including: determining the relative distance between each wireless interference device and the preset reference point according to the device location information and the preset reference point position; extracting the signal transmission power, operating frequency and radiation angle of each wireless interference device according to the interference device information; based on the relative distance, determining the device interference factor of each wireless interference device according to the signal transmission power, the operating frequency and the radiation angle; based on the device location information, taking the location information of each wireless interference device as an index and the device interference factor of each wireless interference device as a corresponding element, constructing the device interference factor data set; the device interference factor of each wireless interference device based on the relative distance is determined according to the signal transmission power, the operating frequency and the radiation angle, specifically the following formula: ; in, For the current the device interference factor of each wireless interfering device, For the current The signal transmission power of a wireless jammer, For the current said operating frequency of a wireless jammer, is the preset frequency influence coefficient, For the current The radiation angle of the wireless interference device, For the current the relative distance between a wireless interference device and the preset reference point, is the preset distance influence coefficient.

[0012] Through this solution, mathematical analysis is used to accurately quantify the device interference factor based on relative distance, signal transmission power, operating frequency and radiation angle, and the different effects of relative distance, signal transmission power, operating frequency and radiation angle on the interference factor are fully considered, so that the device interference factor can scientifically and accurately reflect the degree of interference of wireless interference equipment on wireless network signals.

[0013] Optionally, determining the scene interference information according to the obstacle interference factor data set, the several pre-placement areas and the device interference factor data set includes: based on the several pre-placement areas, according to the obstacle interference factor data set and the device interference factor data set, respectively determining the relative interference distance between each pre-placement area and each structural obstacle and each wireless interference device; based on the relative interference distance, according to the obstacle interference factor and the device interference factor corresponding to each structural obstacle and each wireless interference device, constructing a scene interference heat map, and determining the scene interference heat map as the scene interference information.

[0014] Through this solution, based on several pre-placed areas, the obstacle interference factor data set and the device interference factor data set are analyzed. At the relative interference distance, according to the obstacle interference factor and the device interference factor corresponding to each structural obstacle and each wireless interference device, a scene interference heat map is constructed to clarify the interference differences between different areas in the scene, providing scene support for the subsequent determination of different node locations in the mobile routing bridging network.

[0015] Optionally, the analyzing of the scene interference information and the node device information, performing low-interference distribution planning for a number of main nodes and a number of secondary nodes, and determining basic distribution information of the main and secondary nodes include: constructing a main node set and a secondary node set based on the number of the main nodes and the number of the secondary nodes; analyzing the node device information based on the main node set and the scene interference heat map, performing random processing on the main node coordinates of the number of the main nodes, and determining the signal coverage strength corresponding to each main node coordinate in the scene interference heat map; analyzing the secondary node set based on the scene interference heat map and the coordinate positions of the number of the main nodes, and performing random processing on the main node coordinates of the number of the main nodes. The secondary node coordinates of the secondary nodes are randomly processed to determine the signal interference strength corresponding to each of the secondary node coordinates in the scene interference heat map; the signal interference strength and the signal coverage strength are analyzed, and the primary node coordinates and the secondary node coordinates are subjected to target optimization processing to determine the maximum optimization value; the primary node coordinates and the secondary node coordinates corresponding to the maximum optimization value are determined as the primary and secondary node basic distribution information; the signal interference strength and the signal coverage strength are analyzed, and the primary node coordinates and the secondary node coordinates are subjected to target optimization processing to determine the maximum optimization value, which is specifically the following formula: ; in, For the maximization optimization value, is the master node set, is the secondary node set, The coordinates of the main node are located at The signal coverage strength at time, is the preset interference influence coefficient, The coordinates of the secondary node are located at The signal interference strength at the time.

[0016] Through this scheme, mathematical analysis is used to randomize the main node coordinates and the secondary node coordinates, and mathematical formulas are designed to optimize and evaluate the randomized group node coordinates and secondary point coordinates to obtain the preferred main node coordinates and secondary node coordinates under the current scene interference, and use them as the basic distribution information of the main and secondary nodes, significantly reducing the interference of the scene to the wireless signal, and at the same time providing a scientific node coordinate location information basis for the subsequent switching analysis between the main and secondary nodes.

[0017] Optionally, the node device information includes wireless transmission power, transmission antenna gain, receiving antenna gain and signal wavelength. The node device information is analyzed based on the master node set and the scene interference heat map, and the master node coordinates of several master nodes are randomized to determine the signal coverage strength corresponding to each master node coordinate in the scene interference heat map, including: determining the relative distance between each master node coordinate and the preset reference point coordinate according to the several master node coordinates and the preset reference point coordinates; determining the signal coverage strength according to the relative distance and the node device information, which is specifically the following formula: ; in, The coordinates of the main node are located at The signal coverage strength at is the wireless transmission power, is the transmit antenna gain, is the receiving antenna gain, is the signal wavelength, For coordinates With the preset reference point coordinates The relative distance between the coordinates.

[0018] Through this solution, mathematical analysis is used to comprehensively analyze the joint effects of transmission power, transmission antenna gain and antenna gain on signal coverage strength based on the relative distance of coordinates and node equipment information, and the path loss of wireless network signals in free space is considered. Through mathematical formulas, the signal coverage strength of the main node is accurately quantified, thereby making the determination of the main node position more accurate.

[0019] Optionally, the dynamic scene change information includes real-time crowd distribution information and continuous monitoring information, and the dynamic scene change information is analyzed based on the basic distribution information of the primary and secondary nodes to determine the node dynamic adjustment strategy, including: determining the real-time population density within the signal coverage of each secondary node based on the real-time crowd distribution information; analyzing the continuous monitoring information based on the real-time population density to determine the density duration within the signal coverage of each secondary node; determining the node switching index within the signal coverage of each secondary node based on the real-time population density and the density duration; comparing the node switching index with a preset switching threshold, and determining several of the secondary nodes corresponding to the node switching index greater than the preset switching threshold as pre-switching primary nodes; and using several of the pre-switching primary nodes as the node dynamic adjustment strategy.

[0020] Through this scheme, by analyzing the two factors that have a direct impact on the network load of the secondary node, namely the real-time personnel density and the density duration, the node switching index of the secondary node is obtained, so as to judge whether the secondary node needs to be converted into the main node to ensure the network experience of network users within the signal coverage of the secondary node. Several secondary nodes that need to be converted into main nodes are used as pre-switching main nodes, and several pre-switching main nodes are used as node dynamic adjustment strategies, so that the node adjustment process has accurate information basis.

[0021] Optionally, the node switching index within the signal coverage range of each secondary node is determined according to the real-time personnel density and the density duration, specifically as follows: ; in, is the node switching index, is the preset density influence coefficient, is the real-time personnel density, is the influence coefficient of preset duration, is the density duration.

[0022] Through this scheme, mathematical analysis methods are used, according to the real-time personnel density and density duration, through the designed mathematical formula, combined with the different effects of real-time personnel density and density duration on the node switching index, to achieve accurate quantification of the node switching index, making the quantification process of the node switching index more scientific.

[0023] In a second aspect, the present application provides a mobile routing bridging analysis system, the system comprising: A scene interference analysis module, used to obtain construction scene information and equipment planning information, and to analyze the construction scene information and the equipment planning information to determine scene interference information; A node location analysis module is used to obtain node device information, analyze the scene interference information and the node device information, perform low-interference distribution planning for a number of master nodes and a number of slave nodes, and determine basic distribution information of the master and slave nodes; A dynamic interference adjustment module, used to obtain dynamic scene change information, and to analyze the dynamic scene change information based on the primary and secondary node basic distribution information to determine a node dynamic adjustment strategy; The adjustment output module is used to adjust the plurality of the primary nodes and the plurality of the secondary nodes in real time according to the node dynamic adjustment strategy, and output an adjustment report. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0025] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flow chart of a mobile routing bridging analysis method provided in one embodiment of the present application; Figure 3 A schematic diagram of the structure of a mobile routing bridging analysis system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0028] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0029] Since the network usage scenarios for mobile routing are highly uncertain, the general planning methods of existing mobile routing bridging solutions cannot provide a good network experience for group users in complex scenarios.

[0030] Based on this, the present application provides a mobile routing bridge analysis method and system. While ensuring the coverage of the mobile routing bridge network, the interference of the scene to the wireless network signal is significantly reduced, and based on the dynamic scene change information reflecting the dynamic changes in the network demand in the scene, the role switching requirements between different main nodes and sub-nodes are analyzed to obtain the node dynamic adjustment strategy, and the main node and sub-node are adjusted in real time according to the node dynamic adjustment strategy, and an adjustment report is output, so that the mobile routing bridge network can dynamically adapt to the real-time changing network demand in the scene, further improve the experience of network users, and at the same time enable network construction users to clearly understand the performance of the mobile routing bridge network.

[0031] Figure 1 A schematic diagram of an application scenario provided by the present application. In the process of using mobile routing for network bridging, the method provided by the present application is applied to enable the mobile routing bridging network to dynamically adapt to the real-time changing network requirements in the scenario, further improving the experience of network users.

[0032] Specifically, the method of the present application is applied to any server, which communicates with the scene monitoring system. The server analyzes the scene information, equipment planning information and node equipment information provided by the network construction user, and performs low-interference distribution planning for several main nodes and sub-nodes. While ensuring the coverage of the mobile routing bridge network, the interference of the scene to the wireless network signal is significantly reduced. Based on the dynamic scene change information provided by the scene monitoring system, the role switching requirements between different main nodes and sub-nodes are analyzed to obtain the node dynamic adjustment strategy. According to the node dynamic adjustment strategy, the main node and the sub-node are adjusted in real time, and an adjustment report is output, so that the mobile routing bridge network can dynamically adapt to the real-time changing network requirements in the scene, further improve the experience of network users, and enable network construction users to clearly understand the performance of the mobile routing bridge network. The specific implementation method can refer to the following embodiments.

[0033] Figure 2 This is a flow chart of a mobile routing bridge analysis method provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes: S201. Acquire construction scene information and equipment planning information, analyze the construction scene information and equipment planning information, and determine scene interference information.

[0034] The construction scene information may be relevant information in a scene where a wireless network needs to be temporarily constructed, and may include scene plane information, etc. The construction scene information may be provided by a network construction user.

[0035] The device planning information may be relevant information of other devices capable of transmitting wireless signals that need to be set up in the scene in addition to the wireless network devices. The device planning information may be provided by the network construction user.

[0036] The scene interference information may be information about the specific degree of interference caused by various objects in the scene that may interfere with the wireless network, such as structural obstacles and equipment, on the wireless network.

[0037] Specifically, mobile routing bridging technology refers to the technology that uses the bridging function of mobile routing devices to connect multiple wireless networks together, thereby improving signal coverage and network stability. Mobile routing bridging technology is widely used in scenarios where temporary wireless networks need to be built, such as outdoor public activities, emergency rescue, temporary exhibitions, etc. The specific conditions in these scenarios are complex and in a dynamic process. The building structures in the scenes and other wireless devices used will have a direct impact on the stability of the wireless network provided by the mobile router. Before deploying the mobile router, mathematical analysis is used to quantify the interference caused by the building structure and other wireless devices based on the construction scene information and equipment planning information provided by the network construction user, so as to obtain comprehensive scene interference information, which provides key information support for the subsequent analysis of the specific deployment location of the mobile router.

[0038] S202: Obtain node device information, analyze scene interference information and node device information, perform low-interference distribution planning for several master nodes and several slave nodes, and determine basic distribution information of the master and slave nodes.

[0039] The node device information may be device parameters of a mobile route serving as a node in a temporary wireless network, and may include wireless transmission power and the like.

[0040] The master node may be a mobile router that is a bridge target for other mobile routers.

[0041] A secondary node can be a mobile router that bridges the network from the primary node.

[0042] Low-interference distribution planning can be performed on several master nodes and several slave nodes in a scenario. The basic distribution information of the primary and secondary nodes may be information on the specific distribution positions of several primary nodes and several secondary nodes in the scene.

[0043] Specifically, in the process of using mobile routing for network bridging, wireless network nodes are divided into two types, namely, main nodes and secondary nodes, to distinguish the different divisions of labor of several mobile routings in the wireless network. The main node serves as a direct access point of the wireless network, while the secondary node aims to expand the coverage of the wireless network. The main node is used as a bridging object to bridge the wireless network. The distribution positions of the main node and the secondary node in the scene directly affect the degree of interference to the main node and the secondary node, which in turn affects the network experience of network users in the scene. Through mathematical analysis methods, the scene interference information and node device information are analyzed. Under the premise of ensuring network coverage, the low-interference distribution position of the mobile routing device in the scene is automatically planned in the chassis, and the basic distribution information of the main and secondary nodes is obtained to reduce the interference of complex scenes to the mobile routing.

[0044] S203: Acquire dynamic scene change information, analyze the dynamic scene change information based on the basic distribution information of the primary and secondary nodes, and determine a node dynamic adjustment strategy.

[0045] The dynamic scene change information may be dynamic information related to the network experience of network users within the scene, such as crowd distribution information.

[0046] The node dynamic adjustment strategy may be a strategy for performing primary and secondary function switching adjustment on the primary nodes and secondary nodes deployed in the scene.

[0047] Specifically, the mobile routing bridging process adopts wireless bridging technology, and the secondary node mainly plays the role of signal coverage. The network speed and bandwidth of the secondary node will be significantly lower than that of the main node. Since the network demand in the scene corresponding to the temporary network is in dynamic change, the real-time status in the scene, such as the different number of people in different exhibition areas in a temporary exhibition, will directly affect the network speed and bandwidth requirements of the secondary node. When the current network speed and bandwidth of some secondary nodes cannot meet the network demand within their coverage area, on the basis of the basic distribution information of the main and secondary nodes, by analyzing the dynamic scene change information, the above-mentioned some secondary nodes are regarded as nodes that need to be switched to the main node, and the main node corresponding to the area with less current network pressure is switched to the secondary node, forming a node dynamic adjustment strategy to balance the network demand differences in different areas within the scene, and provide a better network experience for network users in the scene.

[0048] S204. According to the node dynamic adjustment strategy, several master nodes and several slave nodes are adjusted in real time, and an adjustment report is output.

[0049] The adjustment report may be report information describing the network performance of each master node and slave node after the roles of the master node and the slave node are adjusted and switched.

[0050] Specifically, after determining the node dynamic adjustment strategy, according to the node dynamic adjustment strategy, the bridge state between the secondary node that needs to be switched to the main node and the current main node is closed, and then the wireless network is accessed through the secondary node, and it is used as the main node of the secondary node closest to it, and the node switched from the main node to the secondary node is used as the secondary node of the main node closest to it, and the secondary node that was originally the main node before the switch is used as the secondary node of the main node closest to it after the switch, so as to complete the node role switching in the entire mobile routing bridge network, and then through network monitoring tools, such as PingPlotter (delay mapping tool), NetSpot (network hotspot analysis tool), etc., the network performance of each node after the switch is statistically analyzed, and the statistical data is visualized through data visualization technology to form an adjustment report, and the adjustment report is output through a human-computer interaction device, so that the network construction user can clearly understand the specific performance of the current bridge network.

[0051] Through this solution, the construction scene information and equipment planning information are analyzed to determine the scene interference information that reflects the static interference to the wireless signal in the scene. On this basis, combined with the node equipment information, low-interference distribution planning is carried out for several main nodes and sub-nodes to determine the basic distribution information of the main and sub-nodes at different distribution positions of the main nodes and sub-nodes in the scene. While ensuring the coverage of the mobile routing bridging network, the interference of the scene to the wireless network signal is significantly reduced. Based on the dynamic scene change information that reflects the dynamic changes in network requirements in the scene, the role switching requirements between different main nodes and sub-nodes are analyzed to obtain the node dynamic adjustment strategy. According to the node dynamic adjustment strategy, the main nodes and sub-nodes are adjusted in real time, and an adjustment report is output, so that the mobile routing bridging network can dynamically adapt to the real-time changing network requirements in the scene, further improve the experience of network users, and enable network construction users to clearly understand the performance of the mobile routing bridging network.

[0052] In some embodiments, scene plane information is analyzed to determine obstacle position distribution information and obstacle thickness information; based on the obstacle position distribution information, scene annotation information and obstacle thickness information are analyzed to determine an obstacle interference factor data set; based on the scene plane information, obstacle position distribution information and device position information are analyzed to determine a routing placement area; based on preset unit routing coverage information, the routing placement area is divided to determine a number of pre-placement areas; based on the device position information, the interfering device information is analyzed to determine a device interference factor data set; based on the obstacle interference factor data set, a number of pre-placement areas and a device interference factor data set, the scene interference information is determined.

[0053] The scene building information includes scene plane information and scene annotation information.

[0054] The equipment planning information includes equipment location information and interference equipment information.

[0055] The scene plane information may be a plane structure diagram of the scene where the network is to be deployed; The scene annotation information may be parameter annotation information of each structural obstacle in the plane structure diagram, and the structural obstacle may be a static building structure in the scene.

[0056] The device location information may be the location coordinates of the device to be arranged in the scene plan.

[0057] The interference device information may be parameter information of a device to be deployed that may cause interference to the wireless network.

[0058] The obstacle location information may be the location coordinates of each structural obstacle in the plan structure diagram.

[0059] The obstacle thickness information may be the thickness value of each structural obstacle in the planar structure diagram.

[0060] The obstacle interference factor data set may be a data set describing the degree of interference of various structural obstacles in the scene on the wireless network.

[0061] The preset unit route coverage information may be wireless signal coverage information of a single mobile route.

[0062] The pre-placement area can be an area that can be used to arrange mobile routing in the case of no obstacles and other equipment in the scene.

[0063] The device interference factor data set may be a data set describing the degree of interference of each wireless device in the scene to the wireless network.

[0064] Specifically, by establishing a coordinate system for the scene plane map corresponding to the scene plane information, the distribution position of each structural obstacle is determined, and the obstacle position distribution information is obtained. By extracting the vertical distance of the edge of each structural obstacle in the scene plane map, the obstacle thickness information of each structural obstacle is obtained. The thickness of the structural obstacle directly affects the penetration rate of the wireless network signal. At the same time, the material of the structural obstacle contained in the scene annotation information will also affect the propagation of the wireless network signal. Through mathematical analysis, on the basis of the obstacle position distribution information, according to the scene annotation information and the obstacle thickness information, the interference degree of different structural obstacles on the wireless network signal is quantified to construct an obstacle interference factor data set. Then, after excluding the positions of each structural obstacle and each device in the scene plane map, the remaining area that can be used to arrange mobile routing is used. The domain is determined as the routing placement area, and the entire routing placement area is divided into several pre-placement areas according to the coverage area of ​​a single mobile router, providing reference data for the layout location of the mobile router for the comprehensive evaluation of subsequent interference. In addition to structural obstacles in the scene that will interfere with the wireless network signal, other wireless devices will also interfere with the wireless network signal provided by the mobile router. This part of the interference is mainly affected by the specific working parameters of the wireless device. Through mathematical analysis, on the basis of the device location information and according to the interference device information, the interference degree of other wireless devices on the wireless network signal is quantified, and the device interference factor data set, the comprehensive obstacle interference factor data set, several pre-placement areas and device interference factor data sets are obtained, and the scene interference information reflecting the comprehensive interference status of the current scene to the wireless signal is obtained.

[0065] Through this solution, the scene annotation information related to the structural obstacles in the scene and the obstacle thickness information are analyzed respectively to obtain an obstacle interference factor data set reflecting the degree of interference of the structural obstacles on the wireless network signal. At the same time, the interference device information related to the device interference in the scene is analyzed to obtain a device interference factor data set reflecting the degree of interference of the wireless device on the wireless network signal. In addition, the area where the mobile router can be placed is divided to obtain several pre-placement areas, and the obstacle interference factor data set, several pre-placement areas and the device interference factor data set are combined to obtain the scene interference information reflecting the comprehensive interference state of the current scene on the wireless signal, so that the scene interference information is more comprehensive and accurate, and a scientific data basis is provided for the subsequent analysis of the mobile router deployment location.

[0066] In some embodiments, the material type of each structural obstacle in the scene is determined according to the scene annotation information; the unit material penetration loss of each structural obstacle is determined according to the material type of each structural obstacle; the obstacle penetration distance of each structural obstacle is extracted according to the obstacle thickness information; the obstacle interference factor corresponding to each structural obstacle is determined based on the unit material penetration loss and the obstacle penetration distance; based on the obstacle position distribution information, the position information of each structural obstacle is used as an index, and the obstacle interference factor of each structural obstacle is used as a corresponding element to construct an obstacle interference factor data set; based on the unit material penetration loss and the obstacle penetration distance, the obstacle interference factor corresponding to each structural obstacle is determined, which is specifically the following formula (1): (1); in, For the current The obstacle interference factor of the structural obstacle, is the preset path loss index, For the current The obstacle penetration distance of the structural obstacle, To preset the limit penetration distance, For the current The unit material penetration loss of a structural obstacle.

[0067] The material type may be a specific material of a structural obstacle in the scene, and the material type may be obtained through annotation information of different structural obstacles in the scene plan.

[0068] The unit material penetration loss can be the specific signal strength value lost when the wireless network signal penetrates the unit thickness of the structural obstacle corresponding to the current material. The unit material penetration loss can be obtained by fitting the data of the penetration experiment of the wireless signal in different materials.

[0069] The obstacle penetration distance may be a distance value that a wireless signal needs to pass through to penetrate a current structural obstacle, and the obstacle penetration distance may be a thickness value of the structural obstacle.

[0070] The preset path loss index may be a mathematical quantitative index that describes the relationship between the distance of a wireless signal propagation path and its loss degree. The preset path loss index may be obtained by fitting experimental data of wireless signal propagation.

[0071] The preset limited penetration distance may be a maximum distance at which a wireless signal can penetrate a structural obstacle corresponding to the current material, and the preset limited penetration distance may be obtained by fitting data from a wireless signal penetration experiment.

[0072] Specifically, through formula (1) Describes the path loss caused by the increase of propagation distance when wireless network signals propagate in space, and simulates the loss of wireless network signals during propagation. The measurement of this part is the logarithmic loss based on the propagation distance. At the same time, through formula (1) This paper describes the additional loss caused by the material of the current structural obstacle when the wireless network signal passes through the current specific structural obstacle. The obstacle interference factor is accurately quantified by combining the above-mentioned spatial propagation loss and material penetration loss. The obstacle interference factor dataset is constructed with the location information of each structural obstacle as the index and the obstacle interference factor of each structural obstacle as the corresponding element, which is convenient for the subsequent accurate analysis of the distribution of obstacle interference factors in the scene.

[0073] Through this scheme, mathematical analysis is used to accurately quantify the obstacle interference factor corresponding to each structural obstacle based on the unit material penetration loss and obstacle penetration distance, starting from the spatial propagation loss of wireless network signals and material penetration loss. The obstacle interference factor can accurately describe the degree of interference of different structural obstacles on wireless network signals. At the same time, the location information of each structural obstacle is used as the index, and the obstacle interference factor of each structural obstacle is used as the corresponding element to construct an obstacle interference factor data set, which is convenient for the subsequent accurate analysis of the distribution of obstacle interference factors in the scene.

[0074] In some embodiments, the relative distance between each wireless interference device and the preset reference point is determined based on the device location information and the preset reference point position; the signal transmission power, operating frequency and radiation angle of each wireless interference device are extracted based on the interference device information; based on the relative distance, the device interference factor of each wireless interference device is determined based on the signal transmission power, operating frequency and radiation angle; based on the device location information, the location information of each wireless interference device is used as an index, and the device interference factor of each wireless interference device is used as a corresponding element to construct a device interference factor data set; based on the relative distance, the device interference factor of each wireless interference device is determined based on the signal transmission power, operating frequency and radiation angle, which is specifically the following formula (2): (2); in, For the current The device interference factor of each wireless interfering device, For the current The signal transmission power of a wireless jammer, For the current The operating frequency of the wireless jammer, is the preset frequency influence coefficient, For the current The radiation angle of the wireless interference device, For the current The relative distance between a wireless interference device and a preset reference point, is the preset distance influence coefficient.

[0075] The preset reference point may be the center point of the scene.

[0076] Signal transmission power can be the energy intensity radiated outward through the antenna when the wireless interference device transmits the wireless signal.

[0077] The operating frequency may be the frequency of electromagnetic waves used by the wireless jammer when transmitting wireless signals.

[0078] The radiation angle can be the main directional width of the wireless interference device when transmitting electromagnetic wave signals.

[0079] The preset frequency influence coefficient may be mathematical quantitative data describing the degree of interference of the working frequency of the wireless interference device on the wireless network signal. The preset frequency influence coefficient may be obtained by analyzing the experimental data of the wireless interference device.

[0080] The preset distance influence coefficient may be quantitative data describing the degree of interference of the relative distance between the wireless interference device and the preset reference point on the wireless network signal. The preset distance influence coefficient may be obtained by analyzing the experimental data of the wireless interference device.

[0081] Specifically, through formula (2) , describing the signal transmission power The positive correlation between the device interference factor and the transmission power of the device is that the higher the transmission power of the device, the greater the potential interference ability of the device to the environment, and the corresponding device interference factor is also greater. The impact on signal attenuation: the higher the operating frequency of the device, the faster the attenuation of the wireless signal emitted by the device, and the smaller the interference ability to other wireless network signals. The exponential function shows that the higher the operating frequency, the smaller the device interference factor. Describe the effect of the antenna directivity of wireless interference equipment on the wireless network signal strength. is 0 (i.e. the signal is being transmitted in the strongest direction), and the cosine value is maximum At this time, the interference effect is the greatest. As the angle moves away from the main direction, the cosine value decreases and the interference effect weakens accordingly.

[0082] Through this solution, mathematical analysis is used to accurately quantify the device interference factor based on relative distance, signal transmission power, operating frequency and radiation angle, and the different effects of relative distance, signal transmission power, operating frequency and radiation angle on the interference factor are fully considered, so that the device interference factor can scientifically and accurately reflect the degree of interference of wireless interference equipment on wireless network signals.

[0083] In some embodiments, based on several pre-placement areas, according to the obstacle interference factor data set and the device interference factor data set, the relative interference distance between each pre-placement area and each structural obstacle and each wireless interference device is determined respectively; based on the relative interference distance, according to the obstacle interference factor and the device interference factor corresponding to each structural obstacle and each wireless interference device, a scene interference heat map is constructed, and the scene interference heat map is determined as the scene interference information.

[0084] The relative interference distance may be a relative distance between the pre-placement area and the coordinate positions of the corresponding structural obstacles and the wireless interference device in the scene plan.

[0085] The scene interference heat map may be heat map information describing the distribution of interference levels of wireless network signals in the area within the scene. The scene interference heat map may display the distribution and changes of interference within the scene on a two-dimensional plane.

[0086] Specifically, since the pre-placement area is an area where mobile routers can be placed, the relative distance between the pre-placement area and the structural obstacles and wireless interference devices directly affects the degree of interference of the wireless network signal emitted by the mobile router in the pre-placement area. Specifically, the closer the relative distance between the pre-placement area and the structural obstacles and wireless interference devices, the greater the degree of interference of the wireless network signal of the corresponding mobile router, and the degree of interference of the mobile router directly affects the layout position of the mobile router. The relative distance between each structural obstacle and each interference device and each pre-placement area is obtained through the location information of the structural obstacles and interference devices in the obstacle interference factor data set and the device interference factor data set, and then through professional wireless network analysis tools such as NetSpot, according to the obstacle interference factor data set, the device interference factor data set and the relative distance, a scene interference heat map is constructed, and the scene interference heat map is used as the scene interference information.

[0087] Through this solution, based on several pre-placed areas, the obstacle interference factor data set and the device interference factor data set are analyzed. At the relative interference distance, according to the obstacle interference factor and the device interference factor corresponding to each structural obstacle and each wireless interference device, a scene interference heat map is constructed to clarify the interference differences between different areas in the scene, providing scene support for the subsequent determination of different node locations in the mobile routing bridging network.

[0088] In some embodiments, a master node set and a slave node set are constructed based on a number of master nodes and a number of slave nodes; based on the master node set and the scene interference heat map, the node device information is analyzed, the master node coordinates of the several master nodes are randomized, and the signal coverage strength corresponding to each master node coordinate in the scene interference heat map is determined; based on the scene interference heat map and the coordinate positions of the several master nodes, the slave node set is analyzed, the slave node coordinates of the several slave nodes are randomized, and the signal interference strength corresponding to each slave node coordinate in the scene interference heat map is determined; the signal interference strength and the signal coverage strength are analyzed, the master node coordinates and the slave node coordinates are optimized to determine the maximum optimization value; the several master node coordinates and the several slave node coordinates corresponding to the maximum optimization value are determined as the basic distribution information of the master and slave nodes; the signal interference strength and the signal coverage strength are analyzed, the master node coordinates and the slave node coordinates are optimized to determine the maximum optimization value, which is specifically the following formula (3): (3); in, To maximize the optimization value, is the master node set, is the set of secondary nodes, The main node coordinates are located at coordinates The signal coverage strength at the time, is the preset interference influence coefficient, The coordinates of the secondary node are located at The signal interference strength at the time.

[0089] The master node set may be a set including serial numbers of mobile routing devices corresponding to all master nodes.

[0090] The secondary node set may be a set including serial numbers of mobile routing devices corresponding to all secondary nodes.

[0091] The node device information may be device parameter information of a mobile router serving as a node in a bridge network.

[0092] The signal coverage strength may be a quantitative value describing the coverage range of the wireless network signal transmitted by the master node.

[0093] The signal interference strength may be a quantitative value describing the interference degree of the wireless network signal bridged by the secondary node.

[0094] Specifically, before optimizing and analyzing the positions of the main node and the secondary node, since the positions of the main node and the secondary node are both in an uncertain state, and the secondary node needs to bridge the wireless network signal from the main node, the position of the secondary node depends on the position of the main node. In the process of optimizing and analyzing the positions of the main node and the secondary node, it is necessary to consider the position of the main node and the preferred position of the secondary node corresponding to the main node position at the same time. Through a random processing algorithm, such as a random search algorithm, a series of coordinates of the main node and the secondary node are randomly generated based on the scene plane information. The difference between the signal coverage strength of each main node and the interference degree of the corresponding secondary node under the main node is traversed and optimized through formula (3) to obtain the maximum difference between the signal coverage strength and the interference, that is, the case where the signal coverage strength is large and the interference degree is small. In this case, the corresponding main node coordinates and secondary node coordinates are the preferred positions. Taking them as the basic distribution information of the main and secondary nodes can significantly reduce the interference of the scene to the wireless signal.

[0095] Through this scheme, mathematical analysis is used to randomize the main node coordinates and the secondary node coordinates, and mathematical formulas are designed to optimize and evaluate the randomized group node coordinates and secondary point coordinates to obtain the preferred main node coordinates and secondary node coordinates under the current scene interference, and use them as the basic distribution information of the main and secondary nodes, significantly reducing the interference of the scene to the wireless signal, and at the same time providing a scientific node coordinate location information basis for the subsequent switching analysis between the main and secondary nodes.

[0096] In some embodiments, according to the coordinates of several master nodes and the coordinates of the preset reference point, the relative distance between each master node coordinate and the preset reference point coordinate is determined; according to the relative distance and the node device information, the signal coverage strength is determined, which is specifically the following formula (4): (4); in, The main node coordinates are located at coordinates The signal coverage strength at is the wireless transmission power, is the transmit antenna gain, is the receiving antenna gain, is the signal wavelength, For coordinates With preset reference point coordinates The relative distance between the coordinates.

[0097] Node device information includes wireless transmission power, transmitting antenna gain, receiving antenna gain and signal wavelength.

[0098] Wireless transmission power can be the energy of electromagnetic waves emitted by a mobile router during wireless network signal transmission.

[0099] The transmit antenna gain can be the degree to which the internal antenna of a mobile router enhances its ability to radiate wireless network signals.

[0100] The receiving antenna gain can be the degree to which the internal antenna of the mobile router enhances the ability to receive wireless network signals.

[0101] The signal wavelength can be the length of space occupied by the electromagnetic waves emitted by the mobile router.

[0102] The preset reference point coordinates may be the coordinate information of the center point of the scene.

[0103] Specifically, through formula (4) , comprehensively describes the joint effects of transmit power, transmit antenna gain and antenna gain on signal coverage strength, and uses Describes the path loss of wireless network signals in free space, where is a constant factor that relates wavelength to path loss (since path loss increases with the square of distance), according to the principle of electronic wave propagation, It describes the characteristic that the signal strength decays inversely with the square of the distance, and thus accurately quantifies the signal coverage strength.

[0104] Through this solution, mathematical analysis is used to comprehensively analyze the joint effects of transmission power, transmission antenna gain and antenna gain on signal coverage strength based on the relative distance of coordinates and node equipment information, and the path loss of wireless network signals in free space is considered. Through mathematical formulas, the signal coverage strength of the main node is accurately quantified, thereby making the determination of the main node position more accurate.

[0105] In some embodiments, the real-time population density within the signal coverage of each secondary node is determined based on the real-time crowd distribution information; based on the real-time population density, the continuous monitoring information is analyzed to determine the density duration within the signal coverage of each secondary node; based on the real-time population density and the density duration, the node switching index within the signal coverage of each secondary node is determined; the node switching index is compared with a preset switching threshold, and several secondary nodes corresponding to the node switching index greater than the preset switching threshold are determined as pre-switching main nodes; and several pre-switching main nodes are used as node dynamic adjustment strategies.

[0106] Dynamic scene change information includes real-time crowd distribution information and continuous monitoring information, and dynamic scene change information can be obtained through the scene monitoring system.

[0107] Real-time crowd information may be the real-time distribution of the crowd in the scene.

[0108] The continuous monitoring information may be the continuous stay of people in the scene.

[0109] The real-time population density may be the real-time population density value within the coverage range of the secondary node signal.

[0110] The density duration may be the time during which the real-time personnel density is maintained within the coverage area of ​​the secondary node signal.

[0111] The node switching index may be a mathematically quantified index that expresses whether a secondary node needs to be switched to a primary node.

[0112] The preset switching threshold may be a threshold that the node switching index needs to reach when the secondary node needs to switch to the primary node. The preset switching threshold may be set according to the network carrying capacity of the mobile router.

[0113] Specifically, when the density of people within the wireless signal range of the secondary node is too large, the network burden of the secondary node will increase significantly. Since the network signal of the secondary node is obtained by bridging technology, its network carrying capacity is significantly smaller than that of the main node that receives the network signal. At this time, in order to ensure the network experience of people within the signal coverage range of the secondary node, the secondary node needs to be converted into a main node. In the process of evaluating whether the secondary node needs to be converted into a main node, the node switching index of the secondary node is quantified according to the real-time population density and density duration through mathematical analysis. Then, by comparing the node switching index with the preset switching threshold, it is determined whether the secondary node needs to be converted into a main node. Several secondary nodes that need to be converted into main nodes are used as pre-switching main nodes, and several pre-switching main nodes are used as node dynamic adjustment strategies, so that the node adjustment process has accurate information basis.

[0114] Through this scheme, by analyzing the two factors that have a direct impact on the network load of the secondary node, namely the real-time personnel density and the density duration, the node switching index of the secondary node is obtained, so as to judge whether the secondary node needs to be converted into the main node to ensure the network experience of network users within the signal coverage of the secondary node. Several secondary nodes that need to be converted into main nodes are used as pre-switching main nodes, and several pre-switching main nodes are used as node dynamic adjustment strategies, so that the node adjustment process has accurate information basis.

[0115] In some embodiments, the node switching index within the signal coverage range of each secondary node is determined according to the real-time personnel density and the density duration, which is specifically the following formula (5): (5); in, is the node switching index, is the preset density influence coefficient, is the real-time population density, is the influence coefficient of preset duration, is the density duration.

[0116] The preset density impact coefficient may be mathematical quantitative data describing the degree of influence of crowd density on the node switching index. The preset density impact coefficient may be obtained by analyzing experimental data on the network carrying capacity of mobile routing.

[0117] The preset duration influence coefficient may be mathematical quantitative data describing the degree of influence of the crowd density duration on the node switching index. The preset duration influence coefficient may be obtained by analyzing experimental data on the network carrying capacity of mobile routing.

[0118] Specifically, through formula (5), the different effects of real-time personnel density and density duration on the node switching index are comprehensively considered to achieve accurate quantification of the node switching index, making the quantification process of the node switching index more scientific.

[0119] Through this scheme, mathematical analysis methods are used, according to the real-time personnel density and density duration, through the designed mathematical formula, combined with the different effects of real-time personnel density and density duration on the node switching index, to achieve accurate quantification of the node switching index, making the quantification process of the node switching index more scientific.

[0120] Figure 3 A structural diagram of a mobile routing bridging analysis system provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, a mobile routing bridging analysis system 300 of this embodiment includes: a scene interference analysis module 301 , a node location analysis module 302 , a dynamic interference adjustment module 303 and an adjustment output module 304 .

[0121] The scene interference analysis module 301 is used to obtain the scene construction information and the equipment planning information, and to analyze the scene construction information and the equipment planning information to determine the scene interference information; the node position analysis module 302 is used to obtain the node equipment information, and to analyze the scene interference information and the node equipment information, to perform low-interference distribution planning for a number of main nodes and a number of secondary nodes, and to determine the basic distribution information of the main and secondary nodes; the dynamic interference adjustment module 303 is used to obtain the dynamic scene change information, and to analyze the dynamic scene change information based on the basic distribution information of the main and secondary nodes, and to determine the node dynamic adjustment strategy; the adjustment output module 304 is used to perform real-time adjustment on a number of the main nodes and a number of the secondary nodes according to the node dynamic adjustment strategy, and to output an adjustment report.

[0122] Optionally, the scene interference analysis module 301 is specifically used to: analyze the scene plane information to determine obstacle position distribution information and obstacle thickness information; based on the obstacle position distribution information, analyze the scene annotation information and the obstacle thickness information to determine an obstacle interference factor data set; based on the scene plane information, analyze the obstacle position distribution information and the device position information to determine a routing placement area; according to preset unit routing coverage information, divide the routing placement area to determine a number of pre-placement areas; based on the device position information, analyze the interference device information to determine a device interference factor data set; determine the scene interference information based on the obstacle interference factor data set, the several pre-placement areas and the device interference factor data set.

[0123] Optionally, the scene interference analysis module 301 analyzes the scene annotation information and the obstacle thickness information based on the obstacle position distribution information to determine the obstacle interference factor data set, which is specifically used to: determine the material type of each structural obstacle in the scene according to the scene annotation information; determine the unit material penetration loss of each structural obstacle according to the material type of each structural obstacle; extract the obstacle penetration distance of each structural obstacle according to the obstacle thickness information; determine the obstacle interference factor corresponding to each structural obstacle based on the unit material penetration loss and the obstacle penetration distance; based on the obstacle position distribution information, take the position information of each structural obstacle as the index, and take the obstacle interference factor of each structural obstacle as the corresponding element to construct the obstacle interference factor data set; the determination of the obstacle interference factor corresponding to each structural obstacle based on the unit material penetration loss and the obstacle penetration distance is specifically the following formula: ;in, For the current The obstacle interference factor of the structural obstacle, is the preset path loss index, For the current The obstacle penetration distance of a structural obstacle, To preset the limit penetration distance, For the current The penetration loss of the specified material per structural obstacle.

[0124] Optionally, when the scene interference analysis module 301 analyzes the interference device information based on the device location information and determines the device interference factor data set, it is specifically used to: determine the relative distance between each wireless interference device and the preset reference point according to the device location information and the preset reference point position; extract the signal transmission power, operating frequency and radiation angle of each wireless interference device according to the interference device information; based on the relative distance, determine the device interference factor of each wireless interference device according to the signal transmission power, the operating frequency and the radiation angle; based on the device location information, use the location information of each wireless interference device as an index and the device interference factor of each wireless interference device as a corresponding element to construct the device interference factor data set; the device interference factor of each wireless interference device based on the relative distance is determined according to the signal transmission power, the operating frequency and the radiation angle, which is specifically the following formula: ;in, For the current the device interference factor of each wireless interfering device, For the current The signal transmission power of a wireless jammer, For the current said operating frequency of a wireless jammer, is the preset frequency influence coefficient, For the current The radiation angle of the wireless interference device, For the current the relative distance between a wireless interference device and the preset reference point, is the preset distance influence coefficient.

[0125] Optionally, when determining the scene interference information based on the obstacle interference factor data set, the plurality of pre-placed areas and the device interference factor data set, the scene interference analysis module 301 is specifically used to: based on the plurality of pre-placed areas, determine the relative interference distance between each pre-placed area and each structural obstacle and each wireless interference device according to the obstacle interference factor data set and the device interference factor data set; based on the relative interference distance, construct a scene interference heat map according to the obstacle interference factor and the device interference factor corresponding to each structural obstacle and each wireless interference device, and determine the scene interference heat map as the scene interference information.

[0126] Optionally, the node position analysis module 302 is specifically used to: construct a main node set and a secondary node set according to the plurality of main nodes and the plurality of secondary nodes; analyze the node device information based on the main node set and the scene interference heat map, perform random processing on the main node coordinates of the plurality of main nodes, and determine the signal coverage strength corresponding to each main node coordinate in the scene interference heat map; analyze the secondary node set based on the scene interference heat map and the positions of the plurality of main node coordinates, perform random processing on the secondary node coordinates of the plurality of secondary nodes, and determine the signal interference strength corresponding to each secondary node coordinate in the scene interference heat map; analyze the signal interference strength and the signal coverage strength, perform target optimization processing on the main node coordinates and the secondary node coordinates, and determine the maximized optimization value; determine the plurality of main node coordinates and the plurality of secondary node coordinates corresponding to the maximized optimization value as the basic distribution information of the main and secondary nodes; the analysis of the signal interference strength and the signal coverage strength, the target optimization processing on the main node coordinates and the secondary node coordinates, and the maximized optimization value is specifically the following formula: ; in, For the maximization optimization value, is the master node set, is the secondary node set, The coordinates of the main node are located at The signal coverage strength at time, is the preset interference influence coefficient, The coordinates of the secondary node are located at The signal interference strength at the time.

[0127] Optionally, the node position analysis module 302 analyzes the node device information based on the master node set and the scene interference heat map, performs random processing on the master node coordinates of several master nodes, and determines the signal coverage strength corresponding to each master node coordinate in the scene interference heat map. Specifically, it is used to: determine the relative distance between each master node coordinate and the preset reference point coordinate according to the several master node coordinates and the preset reference point coordinates; determine the signal coverage strength according to the relative distance and the node device information, which is specifically the following formula: ;in, The coordinates of the main node are located at The signal coverage strength at is the wireless transmission power, is the transmit antenna gain, is the receiving antenna gain, is the signal wavelength, For coordinates With the preset reference point coordinates The relative distance between the coordinates.

[0128] Optionally, the dynamic interference adjustment module 303 is specifically used to: determine the real-time population density within the signal coverage range of each secondary node based on the real-time crowd distribution information; based on the real-time population density, analyze the continuous monitoring information to determine the density duration within the signal coverage range of each secondary node; determine the node switching index within the signal coverage range of each secondary node based on the real-time population density and the density duration; compare the node switching index with a preset switching threshold, and determine several of the secondary nodes corresponding to the node switching index greater than the preset switching threshold as pre-switching main nodes; and use several of the pre-switching main nodes as the node dynamic adjustment strategy.

[0129] Optionally, when the dynamic interference adjustment module 303 determines the node switching index within the signal coverage range of each secondary node according to the real-time personnel density and the density duration, it is specifically the following formula: ;in, is the node switching index, is the preset density influence coefficient, is the real-time personnel density, is the influence coefficient of preset duration, is the density duration.

[0130] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A mobile routing bridging analysis method, characterized in that: include: Acquire construction scene information and equipment planning information, analyze the construction scene information and the equipment planning information, and determine scene interference information; Obtaining node device information, analyzing the scene interference information and the node device information, performing low-interference distribution planning for a number of master nodes and a number of slave nodes, and determining basic distribution information of the master and slave nodes; Acquire dynamic scene change information, analyze the dynamic scene change information based on the primary and secondary node basic distribution information, and determine a node dynamic adjustment strategy; According to the node dynamic adjustment strategy, a plurality of the master nodes and a plurality of the slave nodes are adjusted in real time, and an adjustment report is output.

2. The method according to claim 1, characterized in that The construction scene information includes scene plane information and scene annotation information, the device planning information includes device location information and interference device information, and the analyzing the construction scene information and the device planning information to determine the scene interference information includes: Analyze the scene plane information to determine obstacle location distribution information and obstacle thickness information; Based on the obstacle position distribution information, analyzing the scene annotation information and the obstacle thickness information, and determining an obstacle interference factor data set; Based on the scene plane information, analyzing the obstacle location distribution information and the device location information to determine the routing placement area; According to the preset unit route coverage information, the route placement area is divided to determine a number of pre-placement areas; Based on the device location information, analyzing the interference device information to determine a device interference factor data set; The scene interference information is determined according to the obstacle interference factor data set, the plurality of pre-placement areas and the device interference factor data set.

3. The method according to claim 2, characterized in that The step of analyzing the scene annotation information and the obstacle thickness information based on the obstacle position distribution information to determine the obstacle interference factor data set includes: Determine the material type of each structural obstacle in the scene according to the scene annotation information; Determine the unit material penetration loss of each structural obstacle according to the material type of each structural obstacle; extracting the obstacle penetration distance of each structural obstacle according to the obstacle thickness information; Determine an obstacle interference factor corresponding to each structural obstacle based on the unit material penetration loss and the obstacle penetration distance; Based on the obstacle location distribution information, the obstacle interference factor data set is constructed by taking the location information of each structural obstacle as an index and the obstacle interference factor of each structural obstacle as a corresponding element; The obstacle interference factor corresponding to each structural obstacle is determined based on the unit material penetration loss and the obstacle penetration distance, specifically as follows: ； in, For the current The obstacle interference factor of the structural obstacle, is the preset path loss index, For the current The obstacle penetration distance of a structural obstacle, To preset the limit penetration distance, For the current The penetration loss of the specified material per structural obstacle.

4. The method according to claim 2, characterized in that: The step of analyzing the interference device information based on the device location information to determine a device interference factor data set includes: Determine the relative distance between each wireless interference device and the preset reference point according to the device location information and the preset reference point location; Extracting the signal transmission power, operating frequency and radiation angle of each wireless interference device according to the interference device information; Based on the relative distance, determining a device interference factor of each wireless interference device according to the signal transmission power, the operating frequency and the radiation angle; Based on the device location information, taking the location information of each wireless interference device as an index and the device interference factor of each wireless interference device as a corresponding element, constructing the device interference factor data set; The device interference factor of each wireless interference device is determined based on the relative distance, according to the signal transmission power, the operating frequency and the radiation angle, specifically as follows: ； in, For the current the device interference factor of each wireless interfering device, For the current The signal transmission power of a wireless jammer, For the current said operating frequency of a wireless jammer, is the preset frequency influence coefficient, For the current The radiation angle of the wireless interference device, For the current the relative distance between a wireless interference device and the preset reference point, is the preset distance influence coefficient.

5. The method according to claim 3, characterized in that: The determining the scene interference information according to the obstacle interference factor data set, the plurality of pre-placement areas and the device interference factor data set includes: Based on the plurality of pre-placement areas, respectively determining the relative interference distance between each pre-placement area and each structural obstacle and each wireless interference device according to the obstacle interference factor data set and the device interference factor data set; Based on the relative interference distance, a scene interference heat map is constructed according to the obstacle interference factor and the device interference factor corresponding to each structural obstacle and each wireless interference device, and the scene interference heat map is determined as the scene interference information.

6. The method according to claim 5, characterized in that The analyzing the scene interference information and the node device information, performing low-interference distribution planning for a plurality of master nodes and a plurality of slave nodes, and determining basic distribution information of the master and slave nodes includes: According to the plurality of master nodes and the plurality of slave nodes, a master node set and a slave node set are constructed; Based on the master node set and the scene interference heat map, the node device information is analyzed, the master node coordinates of several master nodes are randomized, and the signal coverage strength corresponding to each of the master node coordinates in the scene interference heat map is determined; Based on the scene interference heat map and the coordinate positions of the plurality of the primary nodes, the secondary node set is analyzed, the secondary node coordinates of the plurality of the secondary nodes are randomized, and the signal interference intensity corresponding to each of the secondary node coordinates in the scene interference heat map is determined; Analyze the signal interference strength and the signal coverage strength, perform target optimization processing on the primary node coordinates and the secondary node coordinates, and determine a maximized optimization value; Determine the primary and secondary node basic distribution information of the plurality of primary and secondary node coordinates corresponding to the maximum optimization value; The signal interference strength and the signal coverage strength are analyzed, and the target optimization processing is performed on the primary node coordinates and the secondary node coordinates to determine the maximum optimization value, which is specifically the following formula: ； in, For the maximization optimization value, is the master node set, is the secondary node set, The coordinates of the main node are located at The signal coverage strength at time, is the preset interference influence coefficient, The coordinates of the secondary node are located at The signal interference strength at the time.

7. The method according to claim 6, characterized in that The node device information includes wireless transmission power, transmission antenna gain, receiving antenna gain and signal wavelength. The node device information is analyzed based on the master node set and the scene interference heat map, the master node coordinates of several master nodes are randomly processed, and the signal coverage strength corresponding to each master node coordinate in the scene interference heat map is determined, including: Determine the relative distance between each of the master node coordinates and the preset reference point coordinates according to the master node coordinates and the preset reference point coordinates; The signal coverage strength is determined according to the coordinate relative distance and the node device information, specifically as follows: ； in, The coordinates of the main node are located at The signal coverage strength at is the wireless transmission power, is the transmit antenna gain, is the receiving antenna gain, is the signal wavelength, For coordinates With the preset reference point coordinates The relative distance between the coordinates.

8. The method according to claim 5, characterized in that The dynamic scene change information includes real-time crowd distribution information and continuous monitoring information. The dynamic scene change information is analyzed based on the primary and secondary node basic distribution information to determine the node dynamic adjustment strategy, including: Determine the real-time density of people within the signal coverage of each secondary node according to the real-time crowd distribution information; Based on the real-time personnel density, analyzing the continuous monitoring information, determining the density duration within the signal coverage range of each secondary node; Determine a node switching index within a signal coverage range of each secondary node according to the real-time personnel density and the density duration; Comparing the node switching index with a preset switching threshold, and determining a number of the secondary nodes corresponding to the node switching index being greater than the preset switching threshold as pre-switching primary nodes; A plurality of the pre-switching master nodes are used as the node dynamic adjustment strategy.

9. The method according to claim 8, characterized in that The node switching index within the signal coverage range of each secondary node is determined according to the real-time personnel density and the density duration, specifically as follows: ； in, is the node switching index, is the preset density influence coefficient, is the real-time personnel density, is the influence coefficient of preset duration, is the density duration.

10. A mobile routing bridging analysis system, characterized in that: include: A scene interference analysis module, used to obtain construction scene information and equipment planning information, and to analyze the construction scene information and the equipment planning information to determine scene interference information; A node location analysis module is used to obtain node device information, analyze the scene interference information and the node device information, perform low-interference distribution planning for a number of master nodes and a number of slave nodes, and determine basic distribution information of the master and slave nodes; A dynamic interference adjustment module, used to obtain dynamic scene change information, and to analyze the dynamic scene change information based on the primary and secondary node basic distribution information to determine a node dynamic adjustment strategy; The adjustment output module is used to adjust the plurality of the primary nodes and the plurality of the secondary nodes in real time according to the node dynamic adjustment strategy, and output an adjustment report.

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