Signal transmission test method and system for wireless network bridge

Abstract

The invention relates to the technical field of signal transmission, and discloses a signal transmission test method and system for a wireless bridge, and the method comprises the steps: calculating the equivalent omnidirectional radiation power corresponding to the wireless bridge; identifying an antenna structure corresponding to the wireless network bridge, constructing an equivalent signal transmission model corresponding to the wireless network bridge, performing signal propagation path analysis processing on the equivalent signal transmission model to obtain a target transmission model, and performing signal strength simulation processing on the target transmission model to obtain signal strength simulation data; calculating a signal attenuation modulus corresponding to the target transmission model, and evaluating a signal radiation airspace corresponding to the wireless network bridge; and performing interference simulation processing on the target transmission model, calculating an interference suppression intensity coefficient corresponding to the target transmission model, evaluating transmission anti-interference tolerance corresponding to the wireless bridge based on the interference suppression intensity coefficient, and executing signal transmission test analysis of the wireless bridge to obtain a test result. According to the invention, the accuracy of the signal transmission test of the wireless bridge can be improved.

Description

Technical Field

[0001] The invention relates to a signal transmission test method and system for a wireless network bridge, belonging to the technical field of signal transmission. Background Art

[0002] As a key device in the field of modern communications, wireless bridges play an extremely important role in wireless network construction and data transmission. They are widely used in security monitoring, industrial automation, intelligent transportation and other industries. With the accelerated advancement of the digitalization process in various industries, increasingly stringent requirements are placed on the stability, efficiency and reliability of wireless bridge signal transmission.

[0003] At present, in the field of wireless bridge signal transmission testing, the common testing method is to use general network testing tools and equipment such as oscilloscopes to carry out the test. First, according to the test requirements, the basic parameters such as the signal frequency band and transmission distance range to be tested are clarified, and a specific test signal is generated by a signal generator at the transmitting end. The signal strength is adjusted with the help of a power amplifier so that the signal is transmitted at a predetermined power. The testing process is highly dependent on manual operation, from the construction of the test environment to the connection and debugging of the equipment. Secondly, the testing method usually simply lists and basically counts the collected data, and it is difficult to deeply explore the signal transmission laws and potential problems hidden behind the data. For example, it is impossible to effectively model and predict the changes in the transmission characteristics of the signal in a complex environment (such as the presence of multipath interference, electromagnetic noise, etc.), which leads to a decrease in the accuracy of the signal transmission test of the wireless bridge. Summary of the invention

[0004] The present invention provides a signal transmission test method and system for a wireless network bridge, the main purpose of which is to improve the accuracy of the signal transmission test of the wireless network bridge.

[0005] To achieve the above object, the present invention provides a signal transmission test method for a wireless bridge, comprising:

[0006] Acquire the wireless bridge and network topology to be tested, collect the hardware configuration data of the wireless bridge, calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, and query the product specification information corresponding to the wireless bridge;

[0007] Identify the antenna structure corresponding to the wireless bridge, and construct an equivalent signal transmission model corresponding to the wireless bridge in combination with the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, perform signal propagation path analysis on the equivalent signal transmission model to obtain a target transmission model, perform signal strength simulation on the target transmission model to obtain signal strength simulation data;

[0008] Calculate the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and evaluate the signal radiation airspace corresponding to the wireless bridge according to the signal attenuation modulus;

[0009] Perform interference simulation processing on the target transmission model, and calculate the transmission bit error rate of the target transmission model in real time, when the transmission bit error rate exceeds a preset bit error rate, stop the interference simulation processing of the target transmission model, and collect interference simulation data and interference source parameters of the target transmission model;

[0010] In combination with the interference simulation data and the interference source parameters, the interference suppression strength coefficient corresponding to the target transmission model is calculated; based on the interference suppression strength coefficient, the transmission anti-interference tolerance corresponding to the wireless bridge is evaluated; in combination with the signal radiation airspace and the transmission anti-interference tolerance, the signal transmission test analysis of the wireless bridge is performed to obtain the test results.

[0011] Optionally, the calculating, based on the hardware configuration data, the equivalent isotropic radiated power corresponding to the wireless bridge includes:

[0012] Based on the hardware configuration data, determining an original transmission power value and a gain nominal value corresponding to the wireless bridge;

[0013] Standardizing the original transmit power value to obtain a standard transmit power;

[0014] Collecting the network bridge installation parameters corresponding to the wireless network bridge, and correcting the gain nominal value based on the network bridge installation parameters to obtain a target gain value;

[0015] The target gain value and the standard transmission power are combined to calculate the equivalent isotropic radiated power corresponding to the wireless bridge.

[0016] Optionally, the correcting the gain nominal value based on the network bridge installation parameter to obtain a target gain value includes:

[0017] Identify installation influencing factors and their corresponding key parameters in the network bridge installation parameters;

[0018] Based on the key parameters of the factors, calculating the factor influence coefficient corresponding to the installation influencing factor;

[0019] Calculate the comprehensive correction coefficient corresponding to the gain nominal value according to the influence coefficient of the factor;

[0020] The gain nominal value is corrected using the comprehensive correction coefficient to obtain a target gain value.

[0021] Optionally, the constructing an equivalent signal transmission model corresponding to the wireless bridge by combining the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information includes:

[0022] Extracting the working frequency band information and transmission rate standard information corresponding to the wireless bridge from the product specification information;

[0023] Combining the working frequency band information, the antenna structure, and the network topology structure, constructing an initial signal transmission framework corresponding to the wireless bridge;

[0024] Analyze the electrical parameter characteristics corresponding to the antenna structure, combine the equivalent isotropic radiated power and the electrical parameter characteristics, perform power and signal flow adaptation processing on the initial signal transmission framework, and obtain an intermediate signal transmission model;

[0025] In combination with the network topology and the transmission rate standard information, the intermediate signal transmission model is subjected to performance optimization processing to obtain an equivalent signal transmission model corresponding to the wireless bridge.

[0026] Optionally, performing signal propagation path analysis processing on the equivalent signal transmission model to obtain a target transmission model includes:

[0027] Performing model analysis processing on the equivalent signal transmission model to obtain an analyzed equivalent signal transmission model;

[0028] Extracting signal transmission node information corresponding to the analytical equivalent signal transmission model;

[0029] Calculating the node connection complexity of the signal transmission node information;

[0030] Determining an analysis algorithm applicable to the analytical equivalent signal transmission model according to the node connection complexity;

[0031] identifying a signal weak area of ​​the analytical equivalent signal transmission model;

[0032] Based on the analysis algorithm type and the signal weak area, a path analysis process is performed on the analytical equivalent signal transmission model to obtain a target transmission model.

[0033] Optionally, the calculating the node connection complexity of the signal transmission node information includes:

[0034] Counting the node degree and node coordinates of each transmission node in the signal transmission node information;

[0035] Combining the node degree and the node coordinates, the node connection complexity of the signal transmission node information is calculated by the following formula:

[0036]

[0037] Where A represents the node connection complexity of signal transmission node information, d ab Indicates the node degree corresponding to the node with node coordinates (a, b), a and b represent the position index corresponding to the position node, and n represents the number of position nodes. Represents the exponential decay function corresponding to the node at the coordinate (a, b).

[0038] Optionally, calculating the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data includes:

[0039] Extracting the transmitting end signal strength and the receiving end signal strength corresponding to the target transmission model from the signal strength simulation data;

[0040] Querying the signal transmission frequency corresponding to the target transmission model, and calculating the equivalent transmission distance of the target transmission model in the signal transmission path;

[0041] Combined with the transmitting end signal strength, the receiving end signal strength, the signal transmission frequency and the equivalent transmission distance, the signal attenuation modulus corresponding to the target transmission model is calculated by the following formula:

[0042]

[0043] Among them, α represents the signal attenuation modulus corresponding to the target transmission model, B e Indicates the signal strength of the transmitter, B f It represents the signal strength at the receiving end, D represents the signal transmission frequency, and L represents the equivalent transmission distance.

[0044] Optionally, the combining the interference simulation data and the interference source parameter to calculate the interference suppression strength coefficient corresponding to the target transmission model includes:

[0045] Reading interference simulation signal data of the target transmission model under interference from the interference simulation data;

[0046] Extracting the simulated signal amplitude in the interference simulated signal data, and calculating the signal deviation and signal fluctuation frequency corresponding to the target transmission model according to the simulated signal amplitude;

[0047] Extracting interference power and interference bandwidth corresponding to the interference source from the interference source parameters, and calculating the signal recovery rate corresponding to the simulation signal amplitude;

[0048] In combination with the signal deviation, the signal fluctuation frequency, the interference power, the interference bandwidth and the signal recovery rate, the interference suppression strength coefficient corresponding to the target transmission model is calculated by the following formula:

[0049]

[0050] Among them, E represents the interference suppression strength coefficient corresponding to the target transmission model, F represents the signal recovery rate, G represents the interference power, H represents the interference bandwidth, M represents the signal fluctuation frequency, and N represents the signal deviation.

[0051] Optionally, calculating the signal deviation and signal fluctuation frequency corresponding to the target transmission model according to the simulation signal amplitude includes:

[0052] Querying the original signal amplitude corresponding to the simulated signal amplitude, calculating the difference between the simulated signal amplitude and the original signal amplitude, and obtaining an amplitude deviation;

[0053] Calculating an average signal deviation corresponding to the amplitude deviation, and determining a signal deviation corresponding to the target transmission model according to the average signal deviation;

[0054] Reading a signal timestamp corresponding to the simulation signal amplitude, and determining an amplitude fluctuation period corresponding to the signal amplitude based on the signal timestamp;

[0055] Based on the amplitude fluctuation period, a signal fluctuation frequency corresponding to the target transmission model is calculated.

[0056] In order to solve the above problems, the present invention also provides a signal transmission test system for a wireless bridge, the system comprising:

[0057] A bridge information extraction module is used to obtain the wireless bridge to be tested and the network topology structure, collect the hardware configuration data of the wireless bridge, calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, and query the product specification information corresponding to the wireless bridge;

[0058] A signal strength simulation module is used to identify the antenna structure corresponding to the wireless bridge, and to construct an equivalent signal transmission model corresponding to the wireless bridge in combination with the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, to perform signal propagation path analysis on the equivalent signal transmission model to obtain a target transmission model, and to perform signal strength simulation on the target transmission model to obtain signal strength simulation data;

[0059] A signal radiation airspace evaluation module, used to calculate the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and evaluate the signal radiation airspace corresponding to the wireless bridge according to the signal attenuation modulus;

[0060] A simulation processing module, used to perform interference simulation processing on the target transmission model, and calculate the transmission bit error rate of the target transmission model in real time, stop the interference simulation processing of the target transmission model when the transmission bit error rate exceeds a preset bit error rate, and collect interference simulation data and interference source parameters of the target transmission model;

[0061] A signal transmission test module is used to combine the interference simulation data and the interference source parameters to calculate the interference suppression strength coefficient corresponding to the target transmission model, evaluate the transmission anti-interference tolerance corresponding to the wireless bridge based on the interference suppression strength coefficient, and perform signal transmission test analysis of the wireless bridge in combination with the signal radiation airspace and the transmission anti-interference tolerance to obtain test results.

[0062] Compared with the problems described in the background technology, the present invention can obtain the specific configuration description information of the wireless bridge by collecting the hardware configuration data of the wireless bridge, and calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, so as to understand the signal radiation related characteristics of the wireless bridge, and lay a foundation for the subsequent construction of an equivalent signal transmission model corresponding to the wireless bridge. Furthermore, the present invention constructs an equivalent signal transmission model corresponding to the wireless bridge by combining the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, so as to facilitate the subsequent simulation processing of various aspects of the wireless bridge, and lay a foundation for improving the test accuracy of the wireless bridge. The embodiment of the present invention calculates the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and can accurately quantify the attenuation degree and change trend of the signal during the transmission process, which is helpful to discover in advance the possible causes of signal The key link of quality decline is to optimize the transmission path, adjust the equipment parameters or improve the network layout in a targeted manner, effectively improve the stability and reliability of wireless signal transmission. Furthermore, the present invention can understand the transmission error quantization value corresponding to the target transmission model by performing interference simulation processing on the target transmission model and calculating the transmission bit error rate of the target transmission model in real time. When the transmission bit error rate exceeds the preset bit error rate, the interference simulation processing of the target transmission model is stopped, and the interference simulation data and interference source parameters of the target transmission model are collected, thereby providing an important basis for the subsequent calculation of the interference suppression strength coefficient corresponding to the target transmission model. The present invention calculates the interference suppression strength coefficient corresponding to the target transmission model by combining the interference simulation data and the interference source parameters, which can quantify the ability of the target transmission model to resist interference, and helps to improve the design and algorithm of the transmission model in a targeted manner, and improve its stability in a complex interference environment. Therefore, the signal transmission test method and system for a wireless bridge provided in an embodiment of the present invention can improve the accuracy of the signal transmission test of a wireless bridge. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A flow chart of a signal transmission test method for a wireless bridge provided by an embodiment of the present invention;

[0064] Figure 2 A schematic diagram of a module for implementing the signal transmission test method for a wireless bridge provided in an embodiment of the present invention.

[0065] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0066] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0067] The embodiment of the present application provides a signal transmission test method for a wireless bridge. The execution subject of the signal transmission test method for a wireless bridge includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the signal transmission test method for a wireless bridge can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0068] Embodiment 1:

[0069] Reference Figure 1 FIG. 1 is a flow chart of a signal transmission test method for a wireless bridge provided by an embodiment of the present invention. In this embodiment, the signal transmission test method for a wireless bridge includes:

[0070] S1. Obtain a wireless bridge to be tested and a network topology structure, collect hardware configuration data of the wireless bridge, calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, and query product specification information corresponding to the wireless bridge.

[0071] The present invention can obtain specific configuration description information of the wireless bridge by collecting the hardware configuration data of the wireless bridge, and calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, thereby understanding the signal radiation related characteristics of the wireless bridge, and laying a foundation for the subsequent construction of an equivalent signal transmission model corresponding to the wireless bridge. It should be explained that the wireless bridge is a device for wireless network connection, and the network topology structure reflects the connection layout form of the device in the network. The hardware configuration data reflects the relevant parameters of the internal hardware. The equivalent isotropic radiated power represents the equivalent power of the signal strength radiated in all directions by the wireless bridge taking into account the transmission power and antenna gain, which can be used to measure the strength of its signal transmission capability. The product specification information is the details of the various specification parameters of the wireless bridge.

[0072] Furthermore, the collection of the hardware configuration data of the wireless bridge can be achieved through data collection software, such as Octopus Collector; the query of the product specification information corresponding to the wireless bridge can be achieved through the official website of the equipment manufacturer.

[0073] In one embodiment of the present invention, the calculating the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data includes:

[0074] Based on the hardware configuration data, determining an original transmission power value and a gain nominal value corresponding to the wireless bridge;

[0075] Standardizing the original transmit power value to obtain a standard transmit power;

[0076] Collecting the network bridge installation parameters corresponding to the wireless network bridge, and correcting the gain nominal value based on the network bridge installation parameters to obtain a target gain value;

[0077] The target gain value and the standard transmission power are combined to calculate the equivalent isotropic radiated power corresponding to the wireless bridge.

[0078] Among them, the original transmission power value is the transmission power value corresponding to the wireless bridge in the initial recording state, the gain nominal value is the antenna gain value corresponding to the wireless bridge under theoretical or standard test conditions, the standard transmission power is the power value that meets the unified calculation requirements after the original transmission power value is standardized after unit conversion and other standardization processing, the bridge installation parameters are the parameters corresponding to the wireless bridge such as installation angle, height, surrounding environment, etc. related to the actual installation situation, and the target gain value is the antenna gain value that is more in line with the actual situation after the gain nominal value is corrected in combination with the actual usage scenario and related influencing factors.

[0079] Further, the antenna gain data in the hardware configuration data is extracted to determine the original transmission power value and the gain nominal value corresponding to the wireless bridge; the original transmission power value can be standardized by a unit conversion method to obtain a standard transmission power. If the original transmission power value is recorded in milliwatts (mW) and needs to be converted into watts (W) for standardization, the formula can be used: power (mW) × 10 -3 Standardization processing is performed; the bridge installation parameters corresponding to the wireless bridge can be collected through sensors, such as a position sensor, an angle sensor, and a temperature sensor; the target gain value and the standard transmission power are multiplied to obtain the equivalent isotropic radiated power corresponding to the wireless bridge.

[0080] In one embodiment of the present invention, the correction processing of the gain nominal value based on the bridge installation parameter to obtain the target gain value includes:

[0081] Identify installation influencing factors and their corresponding key parameters in the network bridge installation parameters;

[0082] Based on the key parameters of the factors, calculating the factor influence coefficient corresponding to the installation influencing factor;

[0083] Calculate the comprehensive correction coefficient corresponding to the gain nominal value according to the influence coefficient of the factor;

[0084] The gain nominal value is corrected using the comprehensive correction coefficient to obtain a target gain value.

[0085] Among them, the installation influencing factors are various installation-related factors in the bridge installation parameters that will affect the gain of the wireless bridge (such as installation angle, surrounding obstacles, installation height and topography); the factor key parameters are specific parameters corresponding to the installation influencing factors, which are used to measure the degree of influence of the factor (such as the deviation value of the installation angle, the type and distance of the obstacle, the height difference between the installation height and the surrounding environment, and the terrain type); the factor influence coefficient represents the quantitative proportion of the influence of the installation influencing factors on the gain; the comprehensive correction coefficient is a coefficient used to correct the nominal value of the gain after comprehensively considering all the installation influencing factors, so as to obtain a gain value that is more in line with the actual installation situation.

[0086] Furthermore, the installation influencing factors and their corresponding factor key parameters in the bridge installation parameters can be identified by an identification algorithm, such as an OCR identification algorithm; based on the type of the factor key parameters, the corresponding calculation processing formula is queried, and the factor influence coefficient corresponding to the installation influencing factor is calculated according to the corresponding calculation processing formula. For example, the influencing factor of the installation angle can be calculated by cos 2 θ is calculated, where θ is the installation deviation angle; the influence coefficients of the factors are multiplied to obtain the comprehensive correction coefficient corresponding to the nominal value of the output gain; the comprehensive correction coefficient is multiplied by the nominal value of the gain to obtain the target gain value.

[0087] S2. Identify the antenna structure corresponding to the wireless bridge, and construct an equivalent signal transmission model corresponding to the wireless bridge in combination with the equivalent isotropic radiated power, the antenna structure, the network topology structure and the product specification information, perform signal propagation path analysis on the equivalent signal transmission model to obtain a target transmission model, perform signal strength simulation on the target transmission model to obtain signal strength simulation data.

[0088] The present invention constructs an equivalent signal transmission model corresponding to the wireless bridge by combining the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, thereby facilitating the subsequent simulation processing of various aspects of the wireless bridge, and laying a foundation for improving the test accuracy of the wireless bridge in the future. It should be explained that the antenna structure is the physical structure part of the wireless bridge used to transmit and receive wireless signals, and its characteristics will affect the radiation direction, gain and other performance of the signal; the equivalent signal transmission model is an abstract mathematical model of the wireless bridge used to describe the signal in the process of transmission, propagation and reception, which comprehensively considers various factors, and is used to evaluate and analyze the efficiency and effect of signal transmission.

[0089] In one embodiment of the present invention, the equivalent signal transmission model corresponding to the wireless bridge is constructed by combining the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, including:

[0090] Extracting the working frequency band information and transmission rate standard information corresponding to the wireless bridge from the product specification information;

[0091] Combining the working frequency band information, the antenna structure, and the network topology structure, constructing an initial signal transmission framework corresponding to the wireless bridge;

[0092] Analyze the electrical parameter characteristics corresponding to the antenna structure, combine the equivalent isotropic radiated power and the electrical parameter characteristics, perform power and signal flow adaptation processing on the initial signal transmission framework, and obtain an intermediate signal transmission model;

[0093] In combination with the network topology and the transmission rate standard information, the intermediate signal transmission model is subjected to performance optimization processing to obtain an equivalent signal transmission model corresponding to the wireless bridge.

[0094] Among them, the working frequency band information and transmission rate standard information are respectively extracted from the product specification information and correspond to the wireless bridge, which are used to determine the signal working frequency range and data transmission speed standard; the initial signal transmission framework is a preliminary model corresponding to the wireless bridge constructed in combination with the working frequency band information, antenna structure, and network topology structure, which can reflect the basic signal transmission path and approximate structure; the electrical parameter characteristics are the parameter characteristics corresponding to the antenna structure, such as impedance, bandwidth, etc., which affect the electrical performance of signal transmission; the intermediate signal transmission model is a transitional signal transmission model that is obtained after the initial signal transmission framework is processed by power and signal flow adaptation, and can better combine power factors and signal flow conditions.

[0095] Furthermore, the working frequency band information and transmission rate standard information corresponding to the wireless bridge can be extracted from the product specification information through an information extraction function, and the information extraction function is compiled by a scripting language, such as JS scripting language; in combination with the working frequency band information, the antenna structure, and the network topology structure, the initial signal transmission framework corresponding to the wireless bridge can be constructed through a topology drawing method; the electrical parameter characteristics corresponding to the antenna structure can be analyzed through professional electromagnetic simulation software, and in combination with the equivalent isotropic radiated power and the electrical parameter characteristics, the initial signal transmission framework can be subjected to power and signal flow adaptation processing through a power allocation algorithm and a signal flow path optimization algorithm to obtain an intermediate signal transmission model; in combination with the network topology structure and the transmission rate standard information, the intermediate signal transmission model can be subjected to performance optimization processing through a multi-link aggregation and load balancing optimization method to obtain an equivalent signal transmission model corresponding to the wireless bridge.

[0096] The present invention obtains a target transmission model by performing signal propagation path analysis on the equivalent signal transmission model, thereby accurately locating the weak links in signal transmission, improving the stability and reliability of signal transmission of the wireless bridge, and further enhancing the performance and communication quality of the entire wireless network system to meet the needs of diverse application scenarios. It should be explained that the target transmission model is the equivalent signal transmission model after signal propagation path analysis and processing, which further optimizes the signal transmission path and comprehensively considers more practical factors, and can more accurately reflect the efficient and stable signal transmission status of the wireless bridge in the actual application scenario.

[0097] In one embodiment of the present invention, the performing of signal propagation path analysis processing on the equivalent signal transmission model to obtain a target transmission model includes:

[0098] Performing model analysis processing on the equivalent signal transmission model to obtain an analyzed equivalent signal transmission model;

[0099] Extracting signal transmission node information corresponding to the analytical equivalent signal transmission model;

[0100] Calculating the node connection complexity of the signal transmission node information;

[0101] Determining an analysis algorithm applicable to the analytical equivalent signal transmission model according to the node connection complexity;

[0102] identifying a signal weak area of ​​the analytical equivalent signal transmission model;

[0103] Based on the analysis algorithm type and the signal weak area, a path analysis process is performed on the analytical equivalent signal transmission model to obtain a target transmission model.

[0104] Among them, the analytical equivalent signal transmission model is a model that is decomposed and understood in detail. It more clearly presents the various elements in the model, such as the signal source, transmission path, receiving end, and the relationship between each node, which is helpful for subsequent analysis and processing. The signal transmission node information refers to the detailed information about each node (including transmitting node, transit node, receiving node, etc.) in the signal transmission process in the analytical equivalent signal transmission model. The node connection complexity is used to measure the complexity of the connection relationship between signal transmission nodes. The analysis algorithm is an algorithm determined according to the node connection complexity for path analysis of the analytical equivalent signal transmission model. The signal weak area is in the analytical equivalent signal transmission model. The signal weak area refers to the part with low signal strength, easy to be interfered or poor signal transmission quality.

[0105] Furthermore, the equivalent signal transmission model can be subjected to model analysis processing by a model hierarchical analysis method to obtain an analytical equivalent signal transmission model; the signal transmission node information corresponding to the analytical equivalent signal transmission model can be extracted by a node parameter extraction method; according to the node connection complexity, the analysis algorithm applicable to the analytical equivalent signal transmission model can be determined by a complexity-algorithm matching method, and the correspondence between different complexity ranges and analysis algorithm types is predefined. For example, when the node connection complexity is low (such as the rank of the connection matrix is ​​less than a certain threshold), a simple linear transmission analysis algorithm is matched; when the complexity is at a medium level, a tree-based search algorithm is selected; when the complexity is high (such as the presence of a large number of cross connections and ring structures), a graph theory algorithm such as a depth-first search or a breadth-first search is used to determine a suitable analysis algorithm. type; by theoretically calculating the signal strength of each link in the analytical equivalent signal transmission model (such as path loss parameters), and combining the possible interference source distribution and interference intensity (considering the same frequency band interference, multipath interference, etc.), determine the areas where the signal strength is lower than a certain threshold and the interference intensity is higher than a certain level. These areas are signal weak areas; use the selected analysis algorithm combined with the weak area key analysis method. First, use the previously determined analysis algorithm (such as the depth-first search algorithm) to perform a comprehensive path traversal of the analytical equivalent signal transmission model, and record the relevant parameters of each path (such as path length, passed nodes and links, etc.). Then, for the signal weak areas, more carefully analyze the path changes in these areas (such as the signal attenuation curve in the weak area, possible signal enhancement measures, etc.), so as to complete the path analysis processing.

[0106] Further, as an optional embodiment of the present invention, the calculating the node connection complexity of the signal transmission node information includes:

[0107] Counting the node degree and node coordinates of each transmission node in the signal transmission node information;

[0108] Combining the node degree and the node coordinates, the node connection complexity of the signal transmission node information is calculated by the following formula:

[0109]

[0110] Where A represents the node connection complexity of signal transmission node information, d ab Indicates the node degree corresponding to the node with node coordinates (a, b), a and b represent the position index corresponding to the position node, and n represents the number of position nodes. Represents the exponential decay function corresponding to the node at the coordinate (a, b).

[0111] Among them, the node degree is the sum of the number of edges connected to each transmission node in the signal transmission node information, the exponential decay function is the influence of the node degree on the connection complexity, and this influence has a decaying trend as the node degree increases. Furthermore, the node degree and node coordinates of each transmission node in the signal transmission node information can be statistically analyzed by statistical analysis methods.

[0112] The present invention can obtain signal strength simulation data by performing signal strength simulation processing on the target transmission model, thereby laying an important basis for the subsequent calculation of the signal attenuation modulus. It should be explained that the signal strength simulation data is the data used to reflect the specific signal strength size and distribution of each node, each link and other positions in the signal transmission scenario set by the model after the signal strength simulation processing of the target transmission model. Furthermore, the signal strength simulation processing of the target transmission model can be performed by professional electromagnetic simulation software.

[0113] S3. Calculate the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and evaluate the signal radiation airspace corresponding to the wireless bridge according to the signal attenuation modulus.

[0114] The embodiment of the present invention calculates the signal attenuation modulus corresponding to the target transmission model based on the signal strength simulation data, and can accurately quantify the attenuation degree and change trend of the signal during the transmission process. This helps to discover in advance the key links that may cause signal quality degradation, and then optimize the transmission path, adjust equipment parameters or improve the network layout in a targeted manner, thereby effectively improving the stability and reliability of wireless signal transmission. It should be explained that the signal attenuation modulus represents the quantized value of the signal attenuation degree corresponding to the target transmission model.

[0115] In one embodiment of the present invention, calculating the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data includes:

[0116] Extracting the transmitting end signal strength and the receiving end signal strength corresponding to the target transmission model from the signal strength simulation data;

[0117] Querying the signal transmission frequency corresponding to the target transmission model, and calculating the equivalent transmission distance of the target transmission model in the signal transmission path;

[0118] Combined with the transmitting end signal strength, the receiving end signal strength, the signal transmission frequency and the equivalent transmission distance, the signal attenuation modulus corresponding to the target transmission model is calculated by the following formula:

[0119]

[0120] Among them, α represents the signal attenuation modulus corresponding to the target transmission model, B e Indicates the signal strength of the transmitter, B f It represents the signal strength at the receiving end, D represents the signal transmission frequency, and L represents the equivalent transmission distance.

[0121] Among them, the transmitting end signal strength and the receiving end signal strength are the signal strength sizes at the starting signal transmission point and the final receiving point corresponding to the target transmission model, the signal transmission frequency is the frequency parameter of the electromagnetic wave used to carry the signal corresponding to the target transmission model, and the equivalent transmission distance is the signal propagation distance length equivalently obtained by the target transmission model in the signal transmission path after comprehensively considering the actual transmission route length, the medium passed through and other influencing factors. Furthermore, the transmitting end signal strength and the receiving end signal strength corresponding to the target transmission model can be extracted from the signal strength simulation data through a signal strength screening algorithm, and the signal strength screening algorithm is compiled by a programming language; the signal transmission frequency corresponding to the target transmission model can be queried through the model parameter database, and the equivalent transmission distance of the target transmission model in the signal transmission path can be calculated by the ray tracing path accumulation method.

[0122] The present invention can accurately understand the coverage range of the signal in different directions by evaluating the signal radiation airspace corresponding to the wireless bridge according to the signal attenuation modulus, which is conducive to optimizing the antenna layout of the wireless bridge and adjusting the transmission direction, ensuring that the signal covers the target area evenly and efficiently, and reducing signal blind spots and weak coverage areas. It should be explained that the signal radiation airspace is the spatial range and areas in all directions covered by the wireless bridge corresponding to the wireless bridge as the signal source, where the signal can be effectively propagated and reach a certain intensity. Further, the numerical changes of the signal attenuation modulus in all directions are analyzed to determine the directional areas where the signal strength decays faster and slower. Then, based on the attenuation modulus and the preset signal strength threshold, the boundary where the signal strength meets the requirements is outlined, thereby defining the area range in space where the signal of the wireless bridge can be effectively covered, and completing the evaluation of its signal radiation airspace. The preset signal strength threshold is a pre-set signal strength reference value used to determine whether the signal can work effectively, which can be obtained through the equipment specification manual.

[0123] S4. Perform interference simulation processing on the target transmission model and calculate the transmission bit error rate of the target transmission model in real time. When the transmission bit error rate exceeds a preset bit error rate, stop the interference simulation processing of the target transmission model and collect the interference simulation data and interference source parameters of the target transmission model.

[0124] The present invention performs interference simulation processing on the target transmission model and calculates the transmission bit error rate of the target transmission model in real time, so as to understand the transmission error quantization value corresponding to the target transmission model. When the transmission bit error rate exceeds the preset bit error rate, the interference simulation processing of the target transmission model is stopped, and the interference simulation data and interference source parameters of the target transmission model are collected, thereby providing an important basis for the subsequent calculation of the interference suppression strength coefficient corresponding to the target transmission model. It should be explained that the transmission bit error rate represents the proportion of erroneous code elements in the signal transmission process of the target transmission model, and the preset bit error rate is a pre-set standard for the proportion of erroneous code elements used to measure whether the transmission quality is qualified. The interference simulation data is the data information of the target transmission model when it is subjected to simulated interference, and the interference source parameters are specific parameters of the interference source-related characteristics (such as power, frequency, etc.) of the target transmission model. Furthermore, the calculation process of the transmission bit error rate of the target transmission model is as follows: first, during the operation of the target transmission model, the total number of code elements transmitted in a specific time period or data volume is counted, and then the number of code elements received with errors is determined, and the number of error code elements is divided by the total number of code elements. The resulting ratio is the transmission bit error rate of the target transmission model; the collection of the interference simulation data and interference source parameters of the target transmission model can be achieved through professional communication simulation software, such as OPNET, NS-3, etc.

[0125] S5. Combine the interference simulation data and the interference source parameters to calculate the interference suppression strength coefficient corresponding to the target transmission model. Based on the interference suppression strength coefficient, evaluate the transmission anti-interference tolerance corresponding to the wireless bridge. Combine the signal radiation airspace and the transmission anti-interference tolerance to perform signal transmission test analysis of the wireless bridge to obtain test results.

[0126] The present invention calculates the interference suppression strength coefficient corresponding to the target transmission model by combining the interference simulation data and the interference source parameters, thereby quantifying the ability of the target transmission model to resist interference, and helps to improve the design and algorithm of the transmission model in a targeted manner, thereby enhancing its stability in complex interference environments. It should be explained that the interference suppression strength coefficient represents a quantitative indicator of the ability of the target transmission model to resist interference and maintain normal signal transmission.

[0127] In one embodiment of the present invention, the combining the interference simulation data and the interference source parameters to calculate the interference suppression strength coefficient corresponding to the target transmission model includes:

[0128] Reading interference simulation signal data of the target transmission model under interference from the interference simulation data;

[0129] Extracting the simulated signal amplitude in the interference simulated signal data, and calculating the signal deviation and signal fluctuation frequency corresponding to the target transmission model according to the simulated signal amplitude;

[0130] Extracting interference power and interference bandwidth corresponding to the interference source from the interference source parameters, and calculating the signal recovery rate corresponding to the simulation signal amplitude;

[0131] In combination with the signal deviation, the signal fluctuation frequency, the interference power, the interference bandwidth and the signal recovery rate, the interference suppression strength coefficient corresponding to the target transmission model is calculated by the following formula:

[0132]

[0133] Among them, E represents the interference suppression strength coefficient corresponding to the target transmission model, F represents the signal recovery rate, G represents the interference power, H represents the interference bandwidth, M represents the signal fluctuation frequency, and N represents the signal deviation.

[0134] Among them, the interference simulation signal data is the signal-related performance of the target transmission model under interference read from the interference simulation data, the simulation signal amplitude is the signal amplitude size in the interference simulation signal data, the signal deviation amount and the signal fluctuation frequency respectively indicate the degree to which the signal corresponding to the target transmission model deviates from the normal situation and the speed of signal parameter fluctuation, the interference power and the interference bandwidth are respectively the power intensity corresponding to the interference source in the interference source parameters and the frequency range covered by the interference signal, and the signal recovery rate indicates the speed at which the simulation signal amplitude recovers from the interfered state to the normal or near-normal state.

[0135] Furthermore, the interference simulation signal data of the target transmission model under interference can be read from the interference simulation data through the data extraction module in the communication simulation tool; the simulation signal amplitude in the interference simulation signal data can be extracted through MATLAB analysis software; first, the amplitude key points of the recovery stage are determined, the amplitude change is determined according to the amplitude key points, the amplitude recovery time is recorded, and the ratio between the amplitude change and the amplitude recovery time is calculated, so as to obtain the signal recovery rate corresponding to the simulation signal amplitude.

[0136] Further, as an optional embodiment of the present invention, calculating the signal deviation and signal fluctuation frequency corresponding to the target transmission model according to the simulation signal amplitude includes:

[0137] Querying the original signal amplitude corresponding to the simulated signal amplitude, calculating the difference between the simulated signal amplitude and the original signal amplitude, and obtaining an amplitude deviation;

[0138] Calculating an average signal deviation corresponding to the amplitude deviation, and determining a signal deviation corresponding to the target transmission model according to the average signal deviation;

[0139] Reading a signal timestamp corresponding to the simulation signal amplitude, and determining an amplitude fluctuation period corresponding to the signal amplitude based on the signal timestamp;

[0140] Based on the amplitude fluctuation period, a signal fluctuation frequency corresponding to the target transmission model is calculated.

[0141] Among them, the original signal amplitude is the standard signal amplitude that the target transmission model should have under interference-free conditions corresponding to the simulated signal amplitude, the average signal deviation is the average value of the amplitude deviations of all sampling points corresponding to the amplitude deviation, which is an indicator for measuring the overall degree of signal deviation, the signal timestamp is the time stamp corresponding to the simulated signal amplitude that records the moment of its occurrence, and the amplitude fluctuation period is the time interval or number of sampling points between two adjacent points of the same characteristic amplitude when the signal amplitude presents repeated fluctuation characteristics.

[0142] Furthermore, the original signal amplitude corresponding to the simulated signal amplitude can be queried from the data record in the target transmission model; the average signal deviation corresponding to the amplitude deviation can be calculated through the average function, and the average signal deviation is the signal deviation corresponding to the target transmission model; the signal timestamp corresponding to the simulated signal amplitude can be read by the Python library, and based on the signal timestamp, the amplitude fluctuation period corresponding to the signal amplitude can be determined, and the signal timestamp corresponding to the characteristic points such as continuous peaks or valleys of the signal amplitude can be found, and then the timestamp difference between two adjacent identical characteristic points (such as two peaks) can be calculated to obtain the amplitude fluctuation period corresponding to the signal amplitude; the inverse of the amplitude fluctuation period is calculated to obtain the signal fluctuation frequency corresponding to the target transmission model.

[0143] The present invention evaluates the transmission anti-interference tolerance corresponding to the wireless bridge based on the interference suppression strength coefficient, so as to understand the performance of the wireless bridge in an interference environment. In combination with the signal radiation airspace and the transmission anti-interference tolerance, the signal transmission test analysis of the wireless bridge is performed to improve the accuracy of the signal transmission test of the wireless bridge.

[0144] Compared with the problems described in the background technology, the present invention can obtain the specific configuration description information of the wireless bridge by collecting the hardware configuration data of the wireless bridge, and calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, so as to understand the signal radiation related characteristics of the wireless bridge, and lay a foundation for the subsequent construction of an equivalent signal transmission model corresponding to the wireless bridge. Furthermore, the present invention constructs an equivalent signal transmission model corresponding to the wireless bridge by combining the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, so as to facilitate the subsequent simulation processing of various aspects of the wireless bridge, and lay a foundation for improving the test accuracy of the wireless bridge. The embodiment of the present invention calculates the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and can accurately quantify the attenuation degree and change trend of the signal during the transmission process, which is helpful to discover in advance the possible causes of signal The key link of quality decline is to optimize the transmission path, adjust the equipment parameters or improve the network layout in a targeted manner, effectively improve the stability and reliability of wireless signal transmission. Furthermore, the present invention can understand the transmission error quantization value corresponding to the target transmission model by performing interference simulation processing on the target transmission model and calculating the transmission bit error rate of the target transmission model in real time. When the transmission bit error rate exceeds the preset bit error rate, the interference simulation processing of the target transmission model is stopped, and the interference simulation data and interference source parameters of the target transmission model are collected, thereby providing an important basis for the subsequent calculation of the interference suppression strength coefficient corresponding to the target transmission model. The present invention calculates the interference suppression strength coefficient corresponding to the target transmission model by combining the interference simulation data and the interference source parameters, which can quantify the ability of the target transmission model to resist interference, and helps to improve the design and algorithm of the transmission model in a targeted manner, and improve its stability in a complex interference environment. Therefore, the signal transmission test method and system for a wireless bridge provided in an embodiment of the present invention can improve the accuracy of the signal transmission test of a wireless bridge.

[0145] Embodiment 2:

[0146] like Figure 2 As shown, it is a functional module diagram of a signal transmission test system for a wireless bridge of the present invention.

[0147] The signal transmission test system 200 for a wireless bridge described in the present invention can be installed in an electronic device. According to the functions implemented, the signal transmission test system for a wireless bridge can include a bridge information extraction module 201, a signal strength simulation module 202, a signal radiation airspace evaluation module 203, a simulation processing module 204 and a signal transmission test module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0148] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0149] The bridge information extraction module 201 is used to obtain the wireless bridge to be tested and the network topology structure, collect the hardware configuration data of the wireless bridge, calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, and query the product specification information corresponding to the wireless bridge;

[0150] The signal strength simulation module 202 is used to identify the antenna structure corresponding to the wireless bridge, and to construct an equivalent signal transmission model corresponding to the wireless bridge in combination with the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, to perform signal propagation path analysis on the equivalent signal transmission model to obtain a target transmission model, and to perform signal strength simulation on the target transmission model to obtain signal strength simulation data;

[0151] The signal radiation airspace evaluation module 203 is used to calculate the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and evaluate the signal radiation airspace corresponding to the wireless bridge according to the signal attenuation modulus;

[0152] The simulation processing module 204 is used to perform interference simulation processing on the target transmission model, and calculate the transmission bit error rate of the target transmission model in real time. When the transmission bit error rate exceeds a preset bit error rate, the interference simulation processing of the target transmission model is stopped, and the interference simulation data and interference source parameters of the target transmission model are collected;

[0153] The signal transmission test module 205 is used to combine the interference simulation data and the interference source parameters to calculate the interference suppression strength coefficient corresponding to the target transmission model, evaluate the transmission anti-interference tolerance corresponding to the wireless bridge based on the interference suppression strength coefficient, and perform signal transmission test analysis of the wireless bridge in combination with the signal radiation airspace and the transmission anti-interference tolerance to obtain test results.

[0154] In detail, the modules in the signal transmission test system 200 for the wireless bridge in the embodiment of the present invention are used in the same manner as described above. Figure 1 The signal transmission test method for the wireless bridge described in the text is the same as the technical means and can produce the same technical effects, so I will not go into details here.

[0155] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0156] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A signal transmission test method for a wireless bridge, characterized in that: The method comprises: Acquire the wireless bridge and network topology to be tested, collect the hardware configuration data of the wireless bridge, calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, and query the product specification information corresponding to the wireless bridge; Identify the antenna structure corresponding to the wireless bridge, and construct an equivalent signal transmission model corresponding to the wireless bridge in combination with the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, perform signal propagation path analysis on the equivalent signal transmission model to obtain a target transmission model, perform signal strength simulation on the target transmission model to obtain signal strength simulation data; Calculate the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and evaluate the signal radiation airspace corresponding to the wireless bridge according to the signal attenuation modulus; Perform interference simulation processing on the target transmission model, and calculate the transmission bit error rate of the target transmission model in real time, when the transmission bit error rate exceeds a preset bit error rate, stop the interference simulation processing of the target transmission model, and collect interference simulation data and interference source parameters of the target transmission model; In combination with the interference simulation data and the interference source parameters, the interference suppression strength coefficient corresponding to the target transmission model is calculated; based on the interference suppression strength coefficient, the transmission anti-interference tolerance corresponding to the wireless bridge is evaluated; in combination with the signal radiation airspace and the transmission anti-interference tolerance, the signal transmission test analysis of the wireless bridge is performed to obtain the test results.

2. The signal transmission test method for a wireless bridge according to claim 1, characterized in that: The calculating the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data includes: Based on the hardware configuration data, determining an original transmission power value and a gain nominal value corresponding to the wireless bridge; Standardizing the original transmit power value to obtain a standard transmit power; Collecting the network bridge installation parameters corresponding to the wireless network bridge, and correcting the gain nominal value based on the network bridge installation parameters to obtain a target gain value; The target gain value and the standard transmission power are combined to calculate the equivalent isotropic radiated power corresponding to the wireless bridge.

3. The signal transmission test method for a wireless bridge according to claim 1, characterized in that: The correcting the gain nominal value based on the bridge installation parameter to obtain a target gain value includes: Identify installation influencing factors and their corresponding key parameters in the network bridge installation parameters; Based on the key parameters of the factors, calculating the factor influence coefficient corresponding to the installation influencing factor; Calculate the comprehensive correction coefficient corresponding to the gain nominal value according to the influence coefficient of the factor; The gain nominal value is corrected using the comprehensive correction coefficient to obtain a target gain value.

4. The signal transmission test method for a wireless bridge according to claim 1, characterized in that: The combining of the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information to construct an equivalent signal transmission model corresponding to the wireless bridge includes: Extracting the working frequency band information and transmission rate standard information corresponding to the wireless bridge from the product specification information; Combining the working frequency band information, the antenna structure, and the network topology structure, constructing an initial signal transmission framework corresponding to the wireless bridge; Analyze the electrical parameter characteristics corresponding to the antenna structure, combine the equivalent isotropic radiated power and the electrical parameter characteristics, perform power and signal flow adaptation processing on the initial signal transmission framework, and obtain an intermediate signal transmission model; In combination with the network topology and the transmission rate standard information, the intermediate signal transmission model is subjected to performance optimization processing to obtain an equivalent signal transmission model corresponding to the wireless bridge.

5. The signal transmission test method for a wireless bridge according to claim 1, characterized in that: The performing signal propagation path analysis processing on the equivalent signal transmission model to obtain a target transmission model includes: Performing model analysis processing on the equivalent signal transmission model to obtain an analyzed equivalent signal transmission model; Extracting signal transmission node information corresponding to the analytical equivalent signal transmission model; Calculating the node connection complexity of the signal transmission node information; Determining an analysis algorithm applicable to the analytical equivalent signal transmission model according to the node connection complexity; identifying a signal weak area of ​​the analytical equivalent signal transmission model; Based on the analysis algorithm type and the signal weak area, a path analysis process is performed on the analytical equivalent signal transmission model to obtain a target transmission model.

6. The signal transmission test method for a wireless bridge as claimed in claim 5, characterized in that: The calculating the node connection complexity of the signal transmission node information includes: Counting the node degree and node coordinates of each transmission node in the signal transmission node information; Combining the node degree and the node coordinates, the node connection complexity of the signal transmission node information is calculated by the following formula: Where A represents the node connection complexity of signal transmission node information, d ab Indicates the node degree corresponding to the node with node coordinates (a, b), a and b represent the position index corresponding to the position node, and n represents the number of position nodes. Represents the exponential decay function corresponding to the node at the coordinate (a, b).

7. The signal transmission test method for a wireless bridge according to claim 1, characterized in that: The calculating, according to the signal strength simulation data, a signal attenuation modulus corresponding to the target transmission model comprises: Extracting the transmitting end signal strength and the receiving end signal strength corresponding to the target transmission model from the signal strength simulation data; Querying the signal transmission frequency corresponding to the target transmission model, and calculating the equivalent transmission distance of the target transmission model in the signal transmission path; Combined with the transmitting end signal strength, the receiving end signal strength, the signal transmission frequency and the equivalent transmission distance, the signal attenuation modulus corresponding to the target transmission model is calculated by the following formula: Among them, α represents the signal attenuation modulus corresponding to the target transmission model, B e Indicates the signal strength of the transmitter, B f It represents the signal strength at the receiving end, D represents the signal transmission frequency, and L represents the equivalent transmission distance.

8. The signal transmission test method for a wireless bridge as claimed in claim 1, characterized in that: The combining the interference simulation data and the interference source parameters to calculate the interference suppression strength coefficient corresponding to the target transmission model includes: Reading interference simulation signal data of the target transmission model under interference from the interference simulation data; Extracting the simulated signal amplitude in the interference simulated signal data, and calculating the signal deviation and signal fluctuation frequency corresponding to the target transmission model according to the simulated signal amplitude; Extracting interference power and interference bandwidth corresponding to the interference source from the interference source parameters, and calculating the signal recovery rate corresponding to the simulation signal amplitude; In combination with the signal deviation, the signal fluctuation frequency, the interference power, the interference bandwidth and the signal recovery rate, the interference suppression strength coefficient corresponding to the target transmission model is calculated by the following formula: Among them, E represents the interference suppression strength coefficient corresponding to the target transmission model, F represents the signal recovery rate, G represents the interference power, H represents the interference bandwidth, M represents the signal fluctuation frequency, and N represents the signal deviation.

9. The signal transmission test method for a wireless bridge as claimed in claim 8, characterized in that: The step of calculating the signal deviation and signal fluctuation frequency corresponding to the target transmission model according to the simulation signal amplitude includes: Querying the original signal amplitude corresponding to the simulated signal amplitude, calculating the difference between the simulated signal amplitude and the original signal amplitude, and obtaining an amplitude deviation; Calculating an average signal deviation corresponding to the amplitude deviation, and determining a signal deviation corresponding to the target transmission model according to the average signal deviation; Reading a signal timestamp corresponding to the simulation signal amplitude, and determining an amplitude fluctuation period corresponding to the signal amplitude based on the signal timestamp; Based on the amplitude fluctuation period, a signal fluctuation frequency corresponding to the target transmission model is calculated.

10. A signal transmission test system for a wireless bridge, characterized in that: The system comprises: A bridge information extraction module is used to obtain the wireless bridge to be tested and the network topology structure, collect the hardware configuration data of the wireless bridge, calculate the equivalent isotropic radiated power corresponding to the wireless bridge based on the hardware configuration data, and query the product specification information corresponding to the wireless bridge; A signal strength simulation module is used to identify the antenna structure corresponding to the wireless bridge, and to construct an equivalent signal transmission model corresponding to the wireless bridge in combination with the equivalent isotropic radiated power, the antenna structure, the network topology and the product specification information, to perform signal propagation path analysis on the equivalent signal transmission model to obtain a target transmission model, and to perform signal strength simulation on the target transmission model to obtain signal strength simulation data; A signal radiation airspace evaluation module, used to calculate the signal attenuation modulus corresponding to the target transmission model according to the signal strength simulation data, and evaluate the signal radiation airspace corresponding to the wireless bridge according to the signal attenuation modulus; A simulation processing module, used to perform interference simulation processing on the target transmission model, and calculate the transmission bit error rate of the target transmission model in real time, stop the interference simulation processing of the target transmission model when the transmission bit error rate exceeds a preset bit error rate, and collect interference simulation data and interference source parameters of the target transmission model; A signal transmission test module is used to combine the interference simulation data and the interference source parameters to calculate the interference suppression strength coefficient corresponding to the target transmission model, evaluate the transmission anti-interference tolerance corresponding to the wireless bridge based on the interference suppression strength coefficient, and perform signal transmission test analysis of the wireless bridge in combination with the signal radiation airspace and the transmission anti-interference tolerance to obtain test results.

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