Radio frequency connector test system

Abstract

The invention relates to the technical field of radio frequency connector testing, and discloses a radio frequency connector testing system, which comprises a virtual radio frequency testing network construction module used for simulating a cable network in a radio frequency test in the system and inputting a testing signal into the cable network by a radio frequency signal source; constructing a virtual model of the cable network and a signal transmission model; radio frequency connectors are installed in the nodes of the cable network, and the installation number of the radio frequency connectors is minimized; the fault simulation module is used for simulating an actual cable network fault by using a radio frequency connector with an adjustable fault type; a performance analysis and judgment module; calculating the performance of the cable network, and judging whether the cable network needs to be recombined; the recombination evaluation optimization module is used for calculating the performance of the recombined cable network and judging whether recombination succeeds or not; the recombined cable network is applied to an actual cable network, and the efficiency and performance of cable network testing are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of radio frequency connector testing, and particularly to a radio frequency connector testing system. Background Art

[0002] With the rapid development of radio frequency testing technology, the role of cable networks in radio frequency signal transmission has become increasingly important. With the increasing testing requirements, the complexity of cable networks has been continuously improved. How to improve the testing efficiency of the network, reduce costs, and be able to respond quickly in case of failures has become an urgent challenge to be solved.

[0003] The testing methods of radio frequency cable networks mainly rely on the installation and configuration of physical radio frequency connectors. Although this traditional method can ensure the accuracy of testing to a certain extent, there are many obvious defects in the testing process. First of all, the installation and maintenance of radio frequency connectors often require a large amount of manual intervention, resulting in low testing efficiency and high costs. Secondly, when a cable network fails, it is difficult for the traditional method to quickly locate the problem, and it often requires replacing or repairing multiple connectors, increasing the testing time and resource waste. In addition, the existing solutions are difficult to cope with complex network topology changes and variable fault scenarios, and often cannot make effective adjustments in a short time. These problems limit the flexibility and adaptability of cable network testing and are difficult to meet the high requirements of modern radio frequency testing for accuracy and efficiency. Therefore, the existing technology has significant deficiencies in the face of efficient and flexible network optimization and fault repair.

[0004] This solution proposes a radio frequency connector testing system, which can overcome the defects of the existing technology and significantly improve the testing efficiency and performance of cable networks by introducing virtual radio frequency test network construction, fault simulation, and cable network reorganization strategies. Summary of the Invention

[0005] The present invention provides a radio frequency connector testing system for facilitating the solution of the problems mentioned in the above background art.

[0006] The present invention provides the following technical solution: A radio frequency connector testing system, comprising: A virtual radio frequency test network construction module, which simulates the cable network in the radio frequency test in the system, and a radio frequency signal source inputs test signals into the cable network; Execute the network topology modeling strategy to construct a virtual model of the cable network and a transmission model of the signal; Install radio frequency connectors at the nodes of the cable network and execute the installation optimization strategy to minimize the installation quantity of radio frequency connectors; A fault simulation module, which uses radio frequency connectors with adjustable fault types to simulate actual cable network faults; Measure the S-parameters of the cable network using a vector network analyzer and measure the output power of the test signal through a frequency power meter; Execute the combined connector fault strategy, set the faulty RF connectors in the cable network, and minimize the number of faulty RF connectors; Performance analysis and determination module: Calculate the performance of the cable network and determine whether the cable network needs to be reorganized; When the performance of the cable network is less than the performance threshold, reorganize the cable network; Cable network reorganization module: Execute the virtual reorganization strategy, calculate the number of RF connectors required to reorganize the cable network, and reorganize the cable network using RF connectors; Reorganization evaluation and optimization module; Execute the reorganization evaluation strategy, calculate the performance of the reorganized cable network, and determine whether the reorganization is successful; If the reorganization fails, repeat the virtual reorganization strategy until the reorganization evaluation strategy determines that the reorganization is successful; Apply the reorganized cable network to the actual cable network.

[0007] Preferably, constructing the virtual model of the cable network and the transmission model of the signal includes: Simulate the cable network in the system as a graph , which consists of nodes and edges connecting the nodes; , where is the set of nodes, E is the set of edges connecting the nodes, and when there is a connecting edge between node i and node j, the connecting edge is represented as ; An RF signal source inputs a test signal into the cable network, and the test signal is set with signal amplitude, frequency , initial phase, and time t; When the test signal is input into the edge , calculate the output signal ; , where is the time required for the test signal to propagate from node i to node j, , where is the amplitude attenuation factor; Obtain all the nodes that deliver the test signal to node i, and obtain the output signal of each node reaching node i; Calculate the sum of all the output signals, and the result is used as the final test signal of node i.

[0008] Preferably, installing radio frequency connectors at nodes in the cable network and minimizing the number of installed radio frequency connectors includes: Obtain the edges to be tested selected from the edge set of graph G to form a test edge set ; Set an installation decision variable, which is used to represent whether to install a radio frequency connector on edge . Among them, if a radio frequency connector is installed on edge , then , if a radio frequency connector is not installed on edge , then ; Set a judgment variable ; If , then , if , then ; Obtain the cost of installing a radio frequency connector on edge ; Calculate the objective function: , limit the constraint condition , and take the quantity obtained by calculating the objective function as the number of installed radio frequency connectors.

[0009] Preferably, setting faulty radio frequency connectors in the cable network and minimizing the number of faulty radio frequency connectors includes: Decompose graph into multiple subgraphs, where the th subgraph contains multiple nodes and edges; Generate a test path set according to the test edge set . The th test path in the test path set includes an initial node, a target node, and multiple edges from the initial node to the target node; Obtain all the radio frequency connectors installed in the cable network ; Set a fault decision variable, which is used to represent whether to set radio frequency connector to be faulty. If radio frequency connector is set to be faulty, then , if radio frequency connector is normal, then ; Calculate the objective function , where m is the number of installed radio frequency connectors, is the signal loss factor of the RF connector ; is the weight coefficient used to adjust the influence of signal loss; Define that each test path is connected to at least one faulty RF connector ; Define that each sub - graph is covered by at least one faulty RF connector ; Calculate the influence of each RF connector ; Obtain the number of faulty RF connectors calculated by the objective function, denoted as the number of faults; Select the number of faulty RF connectors in descending order of influence to simulate the faults in the cable network. Among them, set all faulty RF connectors to have the same fault type during each simulation.

[0010] Preferably, setting the faulty RF connectors in the cable network and minimizing the number of faulty RF connectors further includes: Calculate the signal loss factor of the RF connector specifically: The RF connector includes an input end and an output end. Obtain the transmission coefficient of the test signal from the input end to the output end ; ; Obtain the power of the test signal of the input RF connector ; Calculate the signal loss factor , .

[0011] Preferably, calculating the performance of the cable network and determining whether the cable network needs to be reorganized includes: Preferably, calculating the performance of the cable network and determining whether the cable network needs to be reorganized includes: Obtain the length of the test path; Measure the length of each edge on the test path and calculate the length of each edge of the test path, and the result is used as the weight of each edge , is the weight of the k - th edge; Calculate the performance of the k - th edge on the test path as ; Obtain all the test paths where the k - th edge is located, and calculate the performance that the k - th edge occupies in each test path. Calculate the mean value of all the performances of the k - th edge, and the result is used as the estimated performance of the k - th edge; Set the performance threshold; Obtain all test edge sets Estimate the performance, and compare the estimated performance with the performance threshold; If the estimated performance is less than the performance threshold, reorganize the cable network.

[0012] Preferably, calculating the number of RF connectors required for reorganizing the cable network and reorganizing the cable network using RF connectors includes: Obtain the test paths where the edges with estimated performance less than the performance threshold are located, and denote them as reorganization paths; For the th reorganization path After recombining, generate new paths ; Obtain the number of edges in ; Set the connection upper limit for each RF connector; Obtain the number of normal RF connectors with connection times less than the connection upper limit in the reorganization paths ; Calculate the number of RF connectors required to be added for the new path ; ; Calculate the number of RF connectors required to be added for each new path , and denote it as the total number of additions; Obtain the installed number of RF connectors in the cable network; Obtain the number of faults of the faulty RF connectors; Calculate the installed number - the number of faults, and denote the result as the remaining total; If the remaining total is less than the total number of additions, calculate the total number of additions - the remaining total, and denote the result as the target number; Add the target number of virtual RF connectors to the cable network; Generate new paths for each reorganization path and reorganize the cable network.

[0013] Preferably, calculating the performance of the reorganized cable network and determining whether the reorganization is successful includes: Measure the performance of the th new path , calculate the performance occupied by each edge on the th new path ; ; ; Obtain all the new paths where the b-th edge on the th new path is located, obtain the performance of the b-th edge on each new path, and calculate the mean value of all the performances as the performance of the b-th edge; Compare the performance of the b-th edge with the performance threshold; If the performance of the b-th edge is greater than or equal to the performance threshold, the cable network reorganization is successful; If the performance of the b-th edge is less than the performance threshold, the cable network reorganization fails.

[0014] The present invention has the following beneficial effects: 1. The radio frequency connector test system accurately simulates the actual cable network in a simulation environment, avoiding equipment consumption and time waste in traditional tests. The fault simulation module can simulate various cable fault types in a virtual environment to truly evaluate the performance of the network under different fault conditions. The performance analysis module combines a vector network analyzer for measurement, enabling the optimization and improvement of network performance based on actual data. By executing the virtual reorganization strategy, it can quickly respond to the need for performance degradation and evaluate the effect after reorganization to ensure that the performance of the entire cable network is always in the best state. Through virtualization, the test efficiency is greatly improved, and the complexity and cost brought by physical tests are reduced. It provides an efficient, adjustable, and flexible solution, which helps to optimize resource allocation and improve system stability.

[0015] 2. The radio frequency connector test system abstracts the cable network as a graph model and calculates the propagation characteristics of signals. By establishing a graph model of nodes and edges, it describes the topological structure of the cable network and quantifies the propagation process of the simulation signal. After the signal is input, it calculates the propagation time and attenuation factor of the output signal, and calculates the signal quality of the entire network based on the output signal of each node to accurately evaluate the signal quality of each node and each edge in the cable network and ensure the effective propagation of the test signal.

[0016] 3. The radio frequency connector test system optimizes the installation quantity and location of radio frequency connectors by setting installation decision variables, judgment variables, and objective functions. By calculating the objective function, it can determine which positions need to install connectors, thus avoiding redundant installation of useless connectors and improving the processing efficiency of the system. The system can accurately calculate the minimum number of connectors required under the premise of meeting performance requirements. This optimization not only improves the configuration efficiency of the cable network but also reduces the overall hardware requirements and costs of the test system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the system module of the present invention.

[0018] Figure 2 It is a schematic diagram of a sub-graph of the cable network before reorganization of the present invention.

[0019] Figure 3 It is a schematic diagram of a sub-graph of the cable network after reorganization of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0021] Example 1. Refer to Figure 1 , a radio frequency connector test system, including: A virtual radio frequency test network construction module that simulates the cable network in the radio frequency test in the system, and a radio frequency signal source inputs a test signal into the cable network; Execute the network topology modeling strategy to construct a virtual model of the cable network and a transmission model of the signal; Install radio frequency connectors at the nodes of the cable network, and execute the installation optimization strategy to minimize the number of installed radio frequency connectors; A fault simulation module that uses radio frequency connectors with adjustable fault types to simulate actual cable network faults; Use a vector network analyzer to measure the S parameters of the cable network, and measure the output power of the test signal through a frequency power meter; Execute the combined connector fault strategy, set the faulty radio frequency connectors in the cable network, and minimize the number of faulty radio frequency connectors; Performance analysis and determination module: Calculate the performance of the cable network and determine whether the cable network needs to be reorganized; When the performance of the cable network is less than the performance threshold, reorganize the cable network; Cable network reorganization module: Execute the virtual reorganization strategy, calculate the number of radio frequency connectors required to reorganize the cable network, and reorganize the cable network using radio frequency connectors; Reorganization evaluation and optimization module; Execute the reorganization evaluation strategy, calculate the performance of the cable network after reorganization, and determine whether the reorganization is successful; If the reorganization fails, repeat the virtual reorganization strategy until the reorganization evaluation strategy determines that the reorganization is successful; Apply the reorganized cable network to the actual cable network.

[0022] Through the virtual RF test network construction module, it is possible to simulate the RF cable network and simulate the transmission and testing of RF signals. Without relying on actual hardware, a comprehensive evaluation of the cable network can be carried out, thus saving a large amount of physical test costs and time. At the same time, by implementing network topology modeling and RF connector installation optimization strategies, the number of RF connectors used can be minimized, reducing the complexity and cost of hardware deployment. The introduction of the fault simulation module enables the solution to simulate actual fault scenarios, ensuring that the evaluation of the cable network has high practical significance and operability. Finally, using a vector network analyzer for S-parameter measurement and combining it with the output power measurement of a frequency power meter provides accurate experimental data for subsequent performance analysis, laying a solid foundation for subsequent optimization and improvement of the cable network performance.

[0023] Construct a virtual model of the cable network and a signal transmission model, including: Simulate the cable network in the system as Figure , which consists of nodes and edges connecting the nodes; , where is the set of nodes, E is the set of edges connecting the nodes, and when there is a connecting edge between node i and node j, the connecting edge is represented as ; An RF signal source inputs a test signal into the cable network, and the test signal is set with signal amplitude, frequency , initial phase, and time t; When the test signal is input into edge , calculate the output signal ; When the test signal is input into edge , calculate the output signal ; is the time required for the test signal to propagate from node i to node j, , where is the amplitude attenuation factor; Obtain all the nodes that deliver test signals to node i, and obtain the output signals of each node arriving at node i; Calculate the sum of all output signals, and the result is used as the final test signal of node i.

[0024] By simulating the cable network as a graphical model, the topological structure of the cable network is systematically represented, and the propagation time and attenuation factor of signals are calculated for each signal transmission path. It can clearly describe the interrelationships of various components in the network (such as cable segments, connectors, etc.), thus providing theoretical support for the optimization and adjustment of cable performance. By calculating the signal propagation time and amplitude attenuation from the source to the target, the transmission quality of each node and path can be comprehensively evaluated, and the transmission paths that may have problems can be accurately identified. In addition, it makes the performance evaluation of the cable network more accurate and can better support subsequent performance optimization strategies.

[0025] Install RF connectors at the nodes of the cable network and minimize the number of RF connector installations, including: Obtain the edges selected for testing in the edge set of graph G to form a test edge set ; Set the installation decision variable, which is used to represent whether to install an RF connector on the edge . Among them, if an RF connector is installed on the edge , then , if an RF connector is not installed on the edge , then ; Set the decision variable ; If , then , if , then ; Obtain the cost of installing an RF connector on the edge ; Calculate the objective function: , subject to the constraint , and take the quantity obtained by calculating the objective function as the number of RF connector installations.

[0026] Through the generation of the edge set and the test path set, the cable network is divided into multiple sub-parts for individual evaluation, greatly improving the test efficiency. By setting the installation decision variable and the fault decision variable, the system can intelligently decide whether to install an RF connector on a specific path according to specific requirements. Calculating and optimizing the objective function can minimize the number of RF connectors while ensuring performance. This method not only saves resources but also can flexibly adjust the configuration of RF connectors according to the requirements of different paths in the network to ensure the efficient operation of the overall system.

[0027] Set faulty RF connectors in the cable network and minimize the number of faulty RF connectors, including: Take the graph Decompose into multiple sub - graphs, the th sub - graph contains multiple nodes and edges; Generate a test path set according to the test edge set where the th test path in the test path set includes an initial node and a target node and multiple edges from the initial node to the target node; Obtain all the RF connectors installed in the cable network ; Set a fault decision variable, which is used to represent whether to set a fault for the RF connector If the RF connector is set with a fault , then If the RF connector is set with a fault , then if the RF connector is normal, then ; Calculate the objective function where m is the number of installed RF connectors, is the signal loss factor of the RF connector , is the weight coefficient used to adjust the impact of signal loss; Limit that each test path is connected to at least one faulty RF connector ; Limit that each sub - graph is covered by at least one faulty RF connector ; Calculate the influence of each RF connector ; Obtain the number of faulty RF connectors calculated by the objective function, denoted as the number of faults; Select the number of faulty RF connectors in descending order of influence for simulating the faults of the cable network. Among them, when simulating each time, all the faulty RF connectors are set with the same fault type.

[0028] By decomposing the graph into multiple sub - graphs, the structural analysis of the cable network is optimized, and the performance of each test path can be evaluated more carefully. By setting the fault decision variable to simulate the fault situation of the RF connector, the flexibility and accuracy of the fault simulation are further enhanced. Combining the calculation of the objective function and the influence ranking of the faulty RF connectors can ensure the selection of appropriate RF connectors for fault simulation and reproduce the performance of the cable network in the actual fault environment. It can make full use of existing resources, accurately simulate network faults and optimize them to ensure that the system can make timely adjustments when faults occur.

[0029] Set a faulty RF connector in the cable network and minimize the number of faulty RF connectors, further including: Calculate the signal loss factor of the RF connector Specifically: The RF connector includes an input end and an output end. Obtain the transmission coefficient of the test signal from the input end to the output end ; Obtain the power of the test signal input to the RF connector ; Calculate the signal loss factor ; .

[0030] By calculating the signal loss factor of the RF connector, the impact of each connector on the overall network performance can be deeply evaluated. By obtaining the transmission coefficient and power data from the input end to the output end, the system can accurately calculate the signal loss situation of each RF connector. It can provide detailed performance data for each connector, enabling subsequent optimization strategies to more specifically address problems in the cable network. At the same time, it improves the system's sensitivity to signal loss, helps to discover potential network bottlenecks, and provides a theoretical basis for performance improvement.

[0031] Calculate the performance of the cable network and determine whether the cable network needs to be reorganized, including: Measure the performance of the test path , where the test path is composed of multiple edges connected end to end; Obtain the length of the test path; Measure the length of each edge on the test path and calculate the length of each edge The length of the test path, and the result is used as the weight of each edge ; is the weight of the k-th edge; Calculate the performance of the k-th edge on the test path as ; Obtain all the test paths where the k-th edge is located, and calculate the performance of the k-th edge in each test path. Calculate the mean value of all the performances of the k-th edge, and the result is used as the estimated performance of the k-th edge; Set a performance threshold; Obtain the estimated performance of all the test edge sets and compare the estimated performance with the performance threshold; If the estimated performance is less than the performance threshold, reorganize the cable network. In this embodiment, with reference to

[0032] Figure 2 ​​, if Test Path 1 and Test Path 2 share a test edge and the estimated performance of the load signal of the test edge is less than the performance threshold, then reorganize the cable network subgraph, and both RF Connector 1 and RF Connector 2 operate normally as connectors.

[0033] By measuring the performance of the test paths, the transmission quality of each edge in the cable network can be comprehensively understood. By calculating the weight of each edge and conducting performance analysis, the contribution degree of each edge and its impact on the overall network performance can be accurately evaluated. The performance of each edge can be carefully analyzed, providing reliable data support for subsequent optimization. If the performance of a certain edge does not meet the requirements, the network structure can be optimized through a reorganization strategy to improve the performance of the overall cable network. It can dynamically respond to performance changes in the cable network to ensure that the system always remains in the best working state.

[0034] Calculate the number of RF connectors required to reorganize the cable network, and use RF connectors to reorganize the cable network, including: Obtain the test paths where the edges with estimated performance less than the performance threshold are located, and record them as reorganization paths; For the th reorganization path After recombining, generate a new path ; Obtain the number of edges in ; Set the connection limit for each RF connector; Obtain the number of normal RF connectors with connection times less than the connection limit in the reorganization paths ; Calculate the number of RF connectors that need to be added for the new path ; Calculate the number of RF connectors that need to be added for each new path , and record it as the total number of new additions; Obtain the installation number of RF connectors in the cable network; Obtain the number of faults of the faulty RF connectors; Calculate the installation number - the number of faults, and record the result as the remaining total; If the remaining total is less than the total number of new additions, calculate the total number of new additions - the remaining total, and record the result as the target number; Add the target number of virtual RF connectors to the cable network; Generate new paths for each reorganization path and reorganize the cable network.

[0035] In this embodiment, referring to Figure 3, after reorganizing the cable network subgraph, new path 1 and new path 2 are generated. Among them, the reorganized subgraph requires 4 normal RF connectors, and both RF connector 1 and RF connector 2 reach the connection limit. Then, 2 new RF connectors, RF connector 3 and RF connector 4, are added to the cable network. If the performance of each edge on the new path 1 and new path 2 at this time is greater than the performance threshold, the reorganization is successful.

[0036] By obtaining the reorganized path and calculating the number of newly added RF connectors, the reorganization process of the cable network is made more systematic and optimized. By clearly calculating the target quantity and adding virtual RF connectors, the system can effectively optimize the network structure according to actual needs. During the network reorganization process, the number of remaining normal RF connectors is compared with the number of faulty connectors to determine whether new RF connectors need to be added. It can accurately adjust the connector configuration in the cable network, avoid excessive or insufficient resource investment, and ensure a significant improvement in system performance after reorganization.

[0037] Calculate the performance of the reorganized cable network and determine whether the reorganization is successful, including: Measure the th new path 's performance , calculate the performance occupied by each edge on the th new path ; ; Obtain all the new paths where the b-th edge on the th new path is located, obtain the performance of the b-th edge on each new path, and calculate the average value of all performances as the performance of the b-th edge; Compare the performance of the b-th edge with the performance threshold; If the performance of the b-th edge is greater than or equal to the performance threshold, the reorganization of the cable network is successful; If the performance of the b-th edge is less than the performance threshold, the reorganization of the cable network fails.

[0038] By measuring the performance of the new paths and calculating the performance contribution of each edge in the new paths, the performance improvement after the reorganization of the cable network is effectively verified. By comparing the performance of each edge on the new path with the performance threshold, the system can determine whether the reorganization is successful. It can ensure that the reorganization of the cable network not only improves the overall performance but also specifically optimizes the effect of each edge, thus achieving refined management. If the reorganization fails, the system can further improve the network transmission quality through readjustment and optimization.

[0039] ​It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0040] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A radio frequency connector testing system, characterized in that: include: A virtual RF test network building module is used to simulate the cable network in the RF test in the system, and the RF signal source inputs the test signal into the cable network; Construct a virtual model of the cable network and a signal transmission model; install RF connectors in the nodes of the cable network to minimize the number of installed RF connectors; Fault simulation module, using RF connectors with adjustable fault types to simulate actual cable network faults; using a vector network analyzer to measure the S parameters of the cable network, and using a frequency power meter to measure the output power of the test signal; arranging faulty RF connectors in the cable network and minimizing the number of faulty RF connectors; Performance analysis and determination module; Calculate the performance of the cable network and determine whether the cable network needs to be reorganized; When the performance of the cable network is less than a performance threshold, the cable network is reorganized; Cable network reorganization module: calculates the number of RF connectors required for reorganizing the cable network, and uses the RF connectors to reorganize the cable network; The reorganization evaluation and optimization module calculates the performance of the cable network after reorganization and determines whether the reorganization is successful; If the reorganization fails, the virtual reorganization strategy is repeatedly executed until the reorganization evaluation strategy determines that the reorganization is successful; Apply the reorganized cable network to the actual cable network.

2. The RF connector testing system according to claim 1, characterized in that: The construction of the virtual model of the cable network and the signal transmission model includes: The cable network is simulated in the system as a graph , the graph consists of nodes and edges connecting the nodes; ,in, is a set of nodes, E is a set of edges connecting nodes, and when there is a connecting edge between node i and node j, the connecting edge is represented as ; The RF signal source inputs a test signal into the cable network. The test signal is set with signal amplitude, frequency , initial phase and time t; When the test signal Input Edge When the output signal is calculated ; ,in, is the time required for the test signal to propagate from node i to node j, ,in, is the amplitude attenuation factor; Obtain all nodes that transmit test signals to node i, and obtain the output signal of each node that reaches node i; Calculate the sum of all output signals and use the result as the final test signal of node i.

3. The RF connector testing system according to claim 2, characterized in that: The method of installing a radio frequency connector in a node of a cable network and minimizing the number of radio frequency connectors installed comprises: Get the edges that need to be tested in the edge set of graph G to form a test edge set ; Set the installation decision variable, which is used to indicate whether to install Install the RF connector on the side. If you install the RF connector on If you are not at the side If you install the RF connector on ; Set the decision variable ; like ,but ,like ,but ; Get on the side Cost of installing RF connectors ; Calculate the objective function: , limit the constraints , and the number obtained by calculating the objective function is used as the number of installed RF connectors.

4. The RF connector testing system according to claim 3, characterized in that: The method of arranging faulty RF connectors in a cable network and minimizing the number of faulty RF connectors comprises: The figure Decomposed into multiple subgraphs, the Subgraph Contains multiple nodes and edges; According to the test edge set Generate test path set , the first Test paths Including an initial node, a target node, and multiple edges from the initial node to the target node; Get all the RF connectors installed in the cable network ; Set a fault decision variable, the fault decision variable is used to indicate whether to set the RF connector Fault, if setting RF connector Failure, then , if you set the RF connector Normal, then ; Calculate the objective function , where m is the number of RF connectors installed, For RF connectors The signal loss factor is is the weight coefficient, which is used to adjust the impact of signal loss; Limit each test path Connect at least one faulty RF connector ; Limit each subgraph Covered by at least one faulty RF connector ; Calculate the impact of each RF connector ; Obtain the number of faulty RF connectors calculated by the objective function, recorded as the number of faults; A number of faulty RF connectors are selected according to their influence from large to small to simulate the faults of the cable network, wherein all faulty RF connectors are set to have the same fault type in each simulation.

5. The RF connector testing system according to claim 4, characterized in that: The method of arranging faulty RF connectors in the cable network and minimizing the number of faulty RF connectors further includes: Calculating RF Connectors Signal loss factor , specifically: The RF connector includes an input end and an output end, and the transmission coefficient of the test signal from the input end to the output end is obtained. ; Get the power of the input RF connector test signal ; Calculating the Signal Loss Factor , .

6. The RF connector testing system according to claim 1, characterized in that: The calculating the performance of the cable network and determining whether the cable network needs to be reorganized includes: Measuring test paths Performance , the test path is composed of multiple edges connected end to end; Get the length of the test path; Measure the length of each edge on the test path and calculate the length of each edge Test the length of the path and use the result as the weight of each edge , is the weight of the kth edge; Calculate test path The performance of the kth edge is ; Get all the test paths where the k-th edge is located, calculate the performance of the k-th edge in each test path, calculate the average of all the performances of the k-th edge, and use the result as the estimated performance of the k-th edge; Setting performance thresholds; Get all test edge sets The estimated performance is compared with the performance threshold; If the estimated performance is less than the performance threshold, the cable network is reorganized.

7. The RF connector testing system according to claim 1, characterized in that: The method of calculating the number of radio frequency connectors required for reorganizing the cable network and using the radio frequency connectors to reorganize the cable network includes: Obtain the test path where the edge with estimated performance less than the performance threshold is located, and record it as the reorganization path; The first Recombination Path Generate a new path after reassembly ; Get The number of edges ; Set the connection limit for each RF connector; Get the number of normal RF connectors in the reassembly path whose connection times are less than the connection upper limit ; Calculate new path The number of additional RF connectors required ; Calculate each new path The number of RF connectors required to be added is recorded as the total number of new additions; Get the number of installed RF connectors in the cable network; Get the fault number of the faulty RF connector; Calculate the number of installations minus the number of failures, and record the result as the remaining total; If the remaining total is less than the newly added total, calculate the newly added total minus the remaining total, and record the result as the target number; Adding a target number of virtual RF connectors to the cable network; Each reorganized path generates a new path to reorganize the cable network.

8. The RF connector testing system according to claim 7, characterized in that: The calculating the performance of the reorganized cable network and determining whether the reorganization is successful includes: Measurement New Path Performance , calculate the New Path The performance of each edge ; Get the New Path Find all new paths where the b-th edge is located, obtain the performance of the b-th edge on each new path, and calculate the average of all performances as the performance of the b-th edge; Compare the performance of the bth edge with the performance threshold; If the performance of the bth edge is greater than or equal to the performance threshold, the cable network is reorganized successfully; If the performance of the bth edge is less than the performance threshold, the reorganization of the cable network fails.

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