SDH network fault detection system and method based on data management network

Abstract

The invention provides an SDH network fault state detection system and method based on a data management network. The system comprises a monitoring layer used for obtaining the running state data of the SDH network through a plurality of SDH detection modules; the transmission layer is used for transmitting the running state data to the monitoring layer; the monitoring layer is used for performing weighting processing on the running state data acquired by each SDH detection module to obtain fused running state data; judging the network state of the SDH network according to the fused operation state data; adjusting the network configuration of the SDH network according to the network state of the SDH network; and the application layer is used for displaying the network state of the SDH network to a user. Through the system, the problem that in the prior art, a plurality of pieces of monitoring software coexist in an SDH optical communication network, but the monitoring software is not unified in the aspects of marking and processing of alarm states, so that analysis and utilization of monitoring data are lack of integration is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of network security, and in particular to a SDH network fault state detection system and method based on a data management network. Background Art

[0002] With the development of the economy, electricity, as an important part of the national infrastructure, has continuously improved the scientific and technological content of its construction and management. In the power system, the application of SDH optical information communication technology is becoming increasingly important, especially in the development and application of supporting software for power communication. The current power supply system usually relies on information communication monitoring and management software provided by various brands and suppliers. There are compatibility issues between these software, resulting in the dispersion and inefficiency of monitoring tasks. Under the comprehensive requirements of fault dispatching management of SDH optical communication networks, communication dispatchers need to fully grasp the operating status of communication networks and systems in order to respond quickly when equipment abnormalities occur. In related technologies, there are often multiple monitoring software coexisting in SDH optical communication networks, but these monitoring software are not unified in the marking and processing of alarm status, and there is a lack of integrated methods for the analysis and utilization of monitoring data. Summary of the invention

[0003] The present invention provides a SDH network fault status detection system and method based on a data management network, which is used to solve the problem that multiple monitoring software coexist in the SDH optical communication network in the prior art, but these monitoring software are not unified in marking and processing the alarm status, resulting in a lack of integration in the analysis and use of monitoring data.

[0004] The present invention provides a SDH network fault state detection system based on a data management network, comprising the following parts: A monitoring layer, used to obtain the operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network; A transmission layer, used for transmitting the operation status data to a monitoring layer; The monitoring layer is used to perform weighted processing on the operation status data collected by each SDH detection module to obtain the fused operation status data; determine the network status of the SDH network according to the fused operation status data; and adjust the network configuration of the SDH network according to the network status of the SDH network; The application layer is used to display the network status of the SDH network to the user.

[0005] According to the SDH network fault status detection system based on the data management network provided by the present invention, the monitoring layer includes a data integration and screening unit, which is used to perform weighted processing on the operation status data collected by each SDH detection module to obtain the integrated operation status data; The data integration and screening unit is specifically used to adjust the initial data weights of each SDH detection module when the classification accuracy of the SDH network is less than a preset accuracy threshold; and obtain the integrated operation status data according to the adjusted data weights of each SDH detection module.

[0006] According to the SDH network fault status detection system based on the data management network provided by the present invention, the monitoring layer includes a data analysis unit for determining the network status of the SDH network according to the fused operation status data; The data analysis unit is specifically used to determine the node status, transmission delay and inter-node connectivity of each SDH network node according to the integrated operation status data; and determine the network status of the SDH network according to the node status, transmission delay and inter-node connectivity of each SDH network node.

[0007] According to the SDH network fault status detection system based on the data management network provided by the present invention, the data integration and screening unit is specifically used for: According to the initial data weight of each SDH detection module and the data collection amount of each SDH detection module, the classification accuracy of the SDH network is obtained; When the classification accuracy of the SDH network is less than a preset accuracy threshold, the data weight of each SDH detection module is adjusted according to the difference between the classification accuracy and the preset accuracy threshold; the greater the difference between the classification accuracy and the preset accuracy threshold, the greater the adjustment range of the data weight; According to the adjusted data weights of each SDH detection module, the integrated operation status data is obtained.

[0008] According to the SDH network fault status detection system based on the data management network provided by the present invention, the data analysis unit is specifically used for: Obtaining the network status of each SDH network node according to the node status, transmission delay and inter-node connectivity of each SDH network node; The network status of the SDH network is determined according to the network status of each SDH network node.

[0009] The present invention also provides a method for detecting a SDH network fault state based on a data management network, comprising the following steps: Acquiring operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network; Transmitting the operating status data to the monitoring layer; Performing weighted processing on the operation status data collected by each SDH detection module to obtain integrated operation status data; judging the network status of the SDH network according to the integrated operation status data; and adjusting the network configuration of the SDH network according to the network status of the SDH network; The network status of the SDH network is displayed to the user.

[0010] According to the SDH network fault status detection method based on the data management network provided by the present invention, the weighted processing of the operation status data collected by each SDH detection module to obtain the fused operation status data includes: When the classification accuracy of the SDH network is less than a preset accuracy threshold, adjusting the initial data weight of each SDH detection module; According to the adjusted data weights of each SDH detection module, the integrated operation status data is obtained.

[0011] The present invention also provides a SDH network fault state detection device based on a data management network, comprising: A data acquisition unit, used to acquire the operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network; A data transmission unit, used for transmitting the operating status data to a monitoring layer; A data processing unit, configured to perform weighted processing on the operation status data collected by each SDH detection module to obtain fused operation status data; determine the network status of the SDH network according to the fused operation status data; and adjust the network configuration of the SDH network according to the network status of the SDH network; The status display unit is used to display the network status of the SDH network to the user.

[0012] The present invention also provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the SDH network fault status detection method based on the data management network as described above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for detecting a fault state of an SDH network based on a data management network as described above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned methods for detecting SDH network fault states based on a data management network.

[0015] The SDH network fault state detection system and method based on the data management network provided by the present invention perform weighted processing on the operation state data collected by each SDH detection module in the SDH network to obtain the merged operation state data; judge the network state of the SDH network according to the merged operation state data; and adjust the network configuration of the SDH network according to the network state of the SDH network, so as to solve the problem in the prior art that the monitoring software in the SDH optical communication network is not unified in marking and processing the alarm state, resulting in the lack of integration in the analysis and utilization of the monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 This is one of the structural schematic diagrams of a SDH network fault state detection system based on a data management network provided by the present invention.

[0018] Figure 2 This is the second structural schematic diagram of an SDH network fault status detection system based on a data management network provided by the present invention.

[0019] Figure 3 The invention provides a flow chart of a method for detecting a fault state of an SDH network based on a data management network.

[0020] Figure 4 The invention discloses a structural diagram of a SDH network fault state detection device based on a data management network.

[0021] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the descriptions used in this way can be interchanged where appropriate, so that the embodiments can be implemented in a sequence other than that illustrated or described in the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of the steps that appear in the present application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved. The division of modules in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between units can be electrical or other similar forms, which are not limited in this application. In addition, the modules or submodules described as separate components may or may not be physically separated, may or may not be physical units, or may be distributed in multiple circuit units, and some or all of the units may be selected according to actual needs to achieve the purpose of the present application.

[0024] Combine the following Figure 1-Figure 5 The specific contents of the present invention are described.

[0025] Figure 1 Schematic diagram of a SDH network fault status detection system based on a data management network provided by the present invention, such as Figure 1 As shown, the system includes: The monitoring layer is used to obtain the operation status data of the SDH network through multiple SDH detection modules, and each SDH detection module is used to monitor an SDH network node in the SDH network.

[0026] In an embodiment of the present invention, the monitoring layer includes an SDH detection module composed of various SDH monitoring sensors, which stores the operating status data collected by each SDH network node, identifies the source of each operating status data, and detects and transmits data on the operating status of the power SDH network.

[0027] The transport layer is used to transmit the operating status data to the monitoring layer.

[0028] In the embodiment of the present invention, the transport layer relies on the local area network transmission communication to obtain the data obtained by the monitoring layer, and ensures the transmission of the data transmitted from the monitoring layer in the system.

[0029] The monitoring layer is used to perform weighted processing on the operation status data collected by each SDH detection module to obtain the integrated operation status data; determine the network status of the SDH network according to the integrated operation status data; and adjust the network configuration of the SDH network according to the network status of the SDH network.

[0030] In the embodiment of the present invention, the monitoring layer is used to process and filter the running status data, and integrate the running status data of each SDH detection module in the monitoring layer.

[0031] The application layer is used to display the network status of the SDH network to users.

[0032] In the embodiment of the present invention, the application layer includes systems such as a control station, a client application or a computer management system, with an embedded Web server system, so as to realize the function of displaying the network status of the SDH network to the user. The application layer is allowed to calculate, store and monitor the network test data in real time online through Internet Explorer or similar browsers, thereby realizing intelligent monitoring of the network test status. It also includes a Web terminal with a central controller and various components for network data monitoring.

[0033] In a possible implementation, the monitoring layer includes a data integration and screening unit, which is used to perform weighted processing on the operation status data collected by each SDH detection module to obtain the integrated operation status data. The data integration and screening unit is specifically used to adjust the initial data weights of each SDH detection module when the classification accuracy of the SDH network is less than a preset accuracy threshold; and obtain the integrated operation status data according to the adjusted data weights of each SDH detection module.

[0034] Specifically, the data collected by each SDH detection module in the monitoring system of the SDH network is integrated to accurately reflect the actual status of the network. First, the classification accuracy Cm of the SDH network is defined, and the preset accuracy threshold R is set. If the classification accuracy Cm of the SDH network is greater than R, it is considered that the communication quality of the SDH network is good, and the collected operation status data is adjusted.

[0035] In the embodiment of the present invention, by collecting the transmission data of each node in the SDH network within a certain period of time, the statistical analysis method is applied to calculate the average value and fluctuation range of its performance indicators, and then determine the classification accuracy Cm. By reviewing and analyzing historical data and monitoring real-time data, it is ensured that the current operating status can be accurately reflected.

[0036] Exemplarily, first, the hierarchical accuracy Cm of the SDH network is defined, and the hierarchical accuracy Cm is obtained by the following formula:

[0037] in, It is a weight coefficient assigned according to the importance of data of each SDH network node, reflecting the different contributions to network stability and performance. It is usually set based on business needs and technical requirements. NORM(X) is a normalization function, which is the data collected by the i-th SDH detection module. , and the data upper limit Xmax and data lower limit Xmin are defined, and the following formula is used for calculation:

[0038] Weight The calculation of is as follows: If Cm ≥ R, then the weight Defined as:

[0039] Where wi represents the weight of the i-th SDH detection module, is the standard deviation of the data measured by the i-th SDH detection module, and n is the total number of SDH network nodes. This ensures that when data is fused, each SDH detection module obtains a corresponding weight according to the reliability of its data, reduces the impact of indicators with high variability, and enhances the sensitivity to stable data.

[0040] Specifically, when the classification accuracy of the SDH network is less than a preset accuracy threshold, the initial data weights of each SDH detection module are adjusted; based on the adjusted data weights of each SDH detection module, the fused operation status data is obtained, see the following embodiment.

[0041] In a possible implementation, the data integration and screening unit is specifically configured to: obtain the grading accuracy of the SDH network according to the initial data weight of each SDH detection module and the data acquisition volume of each SDH detection module; when the grading accuracy of the SDH network is less than a preset accuracy threshold, adjust the data weight of each SDH detection module according to the difference degree between the grading accuracy and the preset accuracy threshold, where the greater the difference degree between the grading accuracy and the preset accuracy threshold, the greater the adjustment range of the data weight; and obtain the fused operation status data according to the adjusted data weights of the respective SDH detection modules.

[0042] In the embodiment of the present invention, if Cm < R, then wi needs to be adjusted according to the difference degree between Cm and R, and is carried out through the following formula:

[0043] In the formula is the adjusted weight and is used to calculate Cm. is the weighting factor of the i-th SDH detection module and is adjusted according to the actual data reading with respect to the range of the maximum value and the minimum value. The calculation method is as follows:

[0044] In the formula, is adjusted according to the actual data reading with respect to the range of the maximum value and the minimum value. The definitions of Xmax and Xmin are the same as above, and are the set data upper limit Xmax and data lower limit Xmin of the network data acquisition point.

[0045] In summary, through the calculation of NORM(X) and it is possible to accurately assign an adaptive weight to the data of each SDH detection module and dynamically adjust according to the actual situation of the data. reflects the importance of the impact of each network node on the overall network performance. It takes into account the actual volatility of the data and is used to more accurately and dynamically evaluate the performance of the network or system.

[0046] The SDH network fault status detection system based on the data management network proposed by the present invention can provide reliable and accurate fault detection in the face of data fluctuations caused by network faults, thereby maintaining the stability and reliability of the SDH network.

[0047] In a possible implementation, the monitoring layer includes a data analysis unit for judging the network status of the SDH network according to the fused operation status data.

[0048] The data analysis unit is specifically used to determine the node status, transmission delay and inter-node connectivity of each SDH network node according to the integrated operation status data; and determine the network status of the SDH network according to the node status, transmission delay and inter-node connectivity of each SDH network node.

[0049] In an embodiment of the present invention, a self-healing function A(x) is defined to evaluate the network status of the SDH network.

[0050] In the SDH network, the self-healing function A(x) integrates the factors that may affect network recovery, including the node status of each SDH network node, transmission delay, and inter-node connectivity. The global self-healing evaluation of the SDH network is achieved through three different recovery scenarios.

[0051]

[0052] In the formula, C( ) is the node state function of the i-th SDH network node, T( ) is the transmission delay state function of the i-th SDH network node, E( ) is the node connectivity function.

[0053] In a possible implementation, the data analysis unit is specifically used to: obtain the network status of each SDH network node according to the node status, transmission delay and inter-node connectivity of each SDH network node; determine the network status of the SDH network according to the network status of each SDH network node.

[0054] Specifically, the network state a of the i-th SDH network node ( )The formula is as follows: a( )=

[0055] For the node state function C( ), based on the product of the SDH network status function S(j) and the resource status function S(k) of the M segments in the SDH network node, it is used to determine the status of a specific node in the SDH network and determine whether the SDH network node is partially operational. If a segment or resource in the SDH network node fails (such as a high bit error rate), the status function will return 0 accordingly. Conversely, if all segments and resources in the SDH network node are normal, it will return 1. This allows the key nodes that affect the network health of the SDH network to be quickly identified.

[0056]

[0057] For the transmission delay function T( ), evaluate whether the transmission delay in the i-th SDH network node is within the acceptable range, and check whether the total transmission delay τ(xi) is lower than the set threshold τ0. The SDH network must ensure that the signal is transmitted within a certain time to avoid communication interruption. If the delay exceeds the threshold τ0, the network is considered to have failed at this node and self-healing measures are required.

[0058]

[0059] Total transmission delay τ( ) is the sum of τ1 and τ2, taking into account the sum of delays in each part and the minimum delay threshold adjusted based on probability P. It includes the delays in all links such as signal transmission, amplification, and wavelength conversion. In SDH networks, the accumulation of delays may cause synchronization problems, so accurately calculating and controlling delays is a key step in network self-healing.

[0060]

[0061] In the SDH network and Ethernet communication system, the node The total transmission delay τ( ) is caused by the backbone network delay τ1( ) and access network delay τ2( )composition.

[0062] The calculation formula is τ( =τ1( )+τ2( ).

[0063] The backbone network delay of the SDH network includes the switching delay TSF,p of node p, the frame transmission delay TTL,p, and the link transmission delay TWL,p, which are proportional to the data frame length and the line length respectively. The total number of nodes that path i passes through in the backbone network is σ. The uncertainty of the access network delay can be obtained through the Pareto distribution and adjusted by a random number P that obeys a (0, 1) uniform distribution and a positive parameter θ related to the network load rate. In the formula It reflects the dynamic impact of network load and random changes in delay.

[0064] For the node connectivity function E( ), the integrity of the network path is determined by the product of Ej,j+1. The network integrity assessment is to check the connectivity of each node to the node in the SDH network and determine whether the network can heal itself through alternative paths or other recovery mechanisms.

[0065]

[0066] In the formula, E( ) is calculated based on the bit error rate Pj,j+1 and signal attenuation rate Lj,j+1 between each pair of adjacent nodes to evaluate the connectivity of the link. The connectivity probability E of the link is calculated by the following formula, as shown below:

[0067] In the formula, the bit error rate Pj,j+1 and the signal attenuation rate Lj,j+1 are measured by specific equipment and used to evaluate the health status of the link through weighted processing by the Gaussian error function (erfc). If the connectivity probability E is greater than the predetermined threshold Ek, the link status Ej,j+1 is marked as 1 (connected), otherwise it is 0 (disconnected). The connectivity E( ) is the product of all Ej,j+1, that is, only when all links on the path are connected, E( ) is 1, indicating that the path is fully connected; otherwise, it is 0, indicating that at least one link in the path is disconnected.

[0068] In summary, the network status of each SDH network node is obtained according to the node status, transmission delay and inter-node connectivity of each SDH network node. The network status of each SDH network node is finally represented by 0 or 1.

[0069] The network status of each SDH network node is superimposed to determine the network status of the entire SDH network.

[0070] In a possible implementation manner, the monitoring layer is used to adjust the network configuration of the SDH network according to the network status of the SDH network.

[0071] Specifically, after the network status of the SDH network is defined by the above self-healing function A(x), in the application layer, the user can intuitively obtain the past network status of the SDH network.

[0072] Meanwhile, for each SDH network node, when the network status of the SDH network node is 0, it means that at least one indicator among the node status, transmission delay and inter-node connectivity of the network node does not meet the system operation requirements.

[0073] By calling up the system's resources, the node status, transmission delay, and inter-node connectivity of the SDH network node are adjusted. When the network status of the SDH network node is 0, the standby node of the SDH network node is started, or more resources are allocated to the SDH network node. When the network status of the SDH network node is restored to 1, it is determined that the adjustment of the node is completed. If the system's resources are insufficient to support the adjustment of the SDH network node. The information of the adjustment process is transmitted to the application layer for the user to know. In the embodiment of the present invention, the state adjustment process of each SDH network node is not described in detail.

[0074] The present invention adopts an SDH network fault status detection system based on a data management network, performs weighted processing on the operation status data collected by each SDH detection module in the SDH network to obtain fused operation status data; judges the network status of the SDH network according to the fused operation status data; and adjusts the network configuration of the SDH network according to the network status of the SDH network, thereby solving the problem in the prior art that the monitoring software in the SDH optical communication network is not unified in marking and processing the alarm status, resulting in a lack of integration in the analysis and utilization of the monitoring data.

[0075] The following is a description of the SDH network fault state detection method based on a data management network provided by the present invention. The SDH network fault state detection method based on a data management network described below and the SDH network fault state detection system based on a data management network described above can be referred to each other.

[0076] like Figure 3 As shown, the SDH network fault status detection method based on the data management network includes: Step S301, obtaining the operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network.

[0077] Step S302, transmitting the operating status data to the monitoring layer.

[0078] Step S303, weighted processing is performed on the operation status data collected by each SDH detection module to obtain integrated operation status data; the network status of the SDH network is determined according to the integrated operation status data; and the network configuration of the SDH network is adjusted according to the network status of the SDH network.

[0079] Step S304: Display the network status of the SDH network to the user.

[0080] In a possible implementation manner, in step S303, weighted processing is performed on the operation status data collected by each SDH detection module to obtain integrated operation status data, including: When the classification accuracy of the SDH network is less than a preset accuracy threshold, the initial data weights of each SDH detection module are adjusted; and the integrated operation status data is obtained according to the adjusted data weights of each SDH detection module.

[0081] In a possible implementation, when the classification accuracy of the SDH network is less than a preset accuracy threshold, the initial data weights of the respective SDH detection modules are adjusted; and the integrated operation status data is obtained according to the adjusted data weights of the respective SDH detection modules, including: According to the initial data weight of each SDH detection module and the data collection amount of each SDH detection module, the classification accuracy of the SDH network is obtained; When the classification accuracy of the SDH network is less than the preset accuracy threshold, the data weight of each SDH detection module is adjusted according to the difference between the classification accuracy and the preset accuracy threshold; the greater the difference between the classification accuracy and the preset accuracy threshold, the greater the adjustment of the data weight; According to the adjusted data weights of each SDH detection module, the integrated operation status data is obtained.

[0082] In a possible implementation manner, in step S303, judging the network status of the SDH network according to the integrated operation status data includes: According to the integrated operation status data, the node status, transmission delay and inter-node connectivity of each SDH network node are determined; according to the node status, transmission delay and inter-node connectivity of each SDH network node, the network status of the SDH network is determined.

[0083] In a possible implementation manner, determining the network state of the SDH network according to the node state, transmission delay, and inter-node connectivity of each SDH network node includes: Obtaining the network status of each SDH network node according to the node status, transmission delay and inter-node connectivity of each SDH network node; The network status of the SDH network is determined according to the network status of each SDH network node.

[0084] The SDH network fault state detection device based on a data management network provided by the present invention is described below. The SDH network fault state detection device based on a data management network described below and the SDH network fault state detection method based on a data management network described above can be referred to each other.

[0085] like Figure 4 As shown, the present invention also provides an SDH network fault status detection device based on a data management network, comprising the following modules: A data acquisition unit, used to acquire the operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network; A data transmission unit, used for transmitting the operating status data to a monitoring layer; A data processing unit, configured to perform weighted processing on the operation status data collected by each SDH detection module to obtain fused operation status data; determine the network status of the SDH network according to the fused operation status data; and adjust the network configuration of the SDH network according to the network status of the SDH network; The status display unit is used to display the network status of the SDH network to the user.

[0086] In a possible implementation, the data processing unit includes a data screening subunit.

[0087] The data screening subunit is used to adjust the initial data weights of each SDH detection module when the classification accuracy of the SDH network is less than a preset accuracy threshold; and obtain the integrated operation status data according to the adjusted data weights of each SDH detection module.

[0088] In a possible implementation, the data screening subunit is specifically used to obtain the classification accuracy of the SDH network based on the initial data weight of each SDH detection module and the data collection amount of each SDH detection module; when the classification accuracy of the SDH network is less than a preset accuracy threshold, the data weight of each SDH detection module is adjusted according to the difference between the classification accuracy and the preset accuracy threshold; wherein the greater the difference between the classification accuracy and the preset accuracy threshold, the greater the adjustment range of the data weight; based on the adjusted data weights of each SDH detection module, the integrated operation status data is obtained.

[0089] In a possible implementation manner, the data processing unit includes a state determination subunit.

[0090] The status judgment subunit is used to determine the node status, transmission delay and inter-node connectivity of each SDH network node according to the integrated operation status data; and determine the network status of the SDH network according to the node status, transmission delay and inter-node connectivity of each SDH network node.

[0091] In a possible implementation, the status judgment subunit is specifically used to obtain the network status of each SDH network node according to the node status, transmission delay and inter-node connectivity of each SDH network node; and determine the network status of the SDH network according to the network status of each SDH network node.

[0092] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5As shown, the electronic device may include: a processor 510, a communications interface 520, a memory 530 and a communication bus 540, wherein the processor 510, the communications interface 520 and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute the SDH network fault state detection method based on the data management network, including the following steps: The operation status data of the SDH network is acquired through a plurality of SDH detection modules, and each SDH detection module is used to monitor an SDH network node in the SDH network.

[0093] Transmit operating status data to the monitoring layer.

[0094] The operation status data collected by each SDH detection module is weighted to obtain the integrated operation status data; the network status of the SDH network is determined according to the integrated operation status data; and the network configuration of the SDH network is adjusted according to the network status of the SDH network.

[0095] Display the network status of the SDH network to users.

[0096] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0097] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the SDH network fault state detection method based on the data management network provided by the above methods, including the following steps: The operation status data of the SDH network is acquired through a plurality of SDH detection modules, and each SDH detection module is used to monitor an SDH network node in the SDH network.

[0098] Transmit operating status data to the monitoring layer.

[0099] The operation status data collected by each SDH detection module is weighted to obtain the integrated operation status data; the network status of the SDH network is determined according to the integrated operation status data; and the network configuration of the SDH network is adjusted according to the network status of the SDH network.

[0100] Display the network status of the SDH network to users.

[0101] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for detecting a fault state of an SDH network based on a data management network provided by the above methods is implemented, comprising the following steps: The operation status data of the SDH network is acquired through a plurality of SDH detection modules, and each SDH detection module is used to monitor an SDH network node in the SDH network.

[0102] Transmit operating status data to the monitoring layer.

[0103] The operation status data collected by each SDH detection module is weighted to obtain the integrated operation status data; the network status of the SDH network is determined according to the integrated operation status data; and the network configuration of the SDH network is adjusted according to the network status of the SDH network.

[0104] Display the network status of the SDH network to users.

[0105] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0106] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A SDH network fault status detection system based on a data management network, characterized in that: include: A monitoring layer, used to obtain the operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network; A transmission layer, used for transmitting the operation status data to a monitoring layer; The monitoring layer is used to perform weighted processing on the operation status data collected by each SDH detection module to obtain the fused operation status data; determine the network status of the SDH network according to the fused operation status data; and adjust the network configuration of the SDH network according to the network status of the SDH network; The application layer is used to display the network status of the SDH network to the user.

2. The SDH network fault status detection system based on the data management network according to claim 1 is characterized in that: The monitoring layer includes a data integration and screening unit, which is used to perform weighted processing on the operation status data collected by each SDH detection module to obtain the integrated operation status data; The data integration and screening unit is specifically used to adjust the initial data weights of each SDH detection module when the classification accuracy of the SDH network is less than a preset accuracy threshold; and obtain the integrated operation status data according to the adjusted data weights of each SDH detection module.

3. The SDH network fault status detection system based on data management network according to claim 1 is characterized in that: The monitoring layer includes a data analysis unit, which is used to determine the network status of the SDH network according to the fused operation status data; The data analysis unit is specifically used to determine the node status, transmission delay and inter-node connectivity of each SDH network node according to the integrated operation status data; and determine the network status of the SDH network according to the node status, transmission delay and inter-node connectivity of each SDH network node.

4. The SDH network fault status detection system based on data management network according to claim 2 is characterized in that: The data integration and screening unit is specifically used for: According to the initial data weight of each SDH detection module and the data collection amount of each SDH detection module, the classification accuracy of the SDH network is obtained; When the classification accuracy of the SDH network is less than a preset accuracy threshold, the data weight of each SDH detection module is adjusted according to the difference between the classification accuracy and the preset accuracy threshold; the greater the difference between the classification accuracy and the preset accuracy threshold, the greater the adjustment range of the data weight; According to the adjusted data weights of each SDH detection module, the integrated operation status data is obtained.

5. The SDH network fault status detection system based on data management network according to claim 3 is characterized in that: The data analysis unit is specifically used for: Obtaining the network status of each SDH network node according to the node status, transmission delay and inter-node connectivity of each SDH network node; The network status of the SDH network is determined according to the network status of each SDH network node.

6. A method for detecting SDH network fault status based on a data management network, characterized in that: include: Acquiring operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network; Transmitting the operating status data to the monitoring layer; Performing weighted processing on the operation status data collected by each SDH detection module to obtain integrated operation status data; judging the network status of the SDH network according to the integrated operation status data; and adjusting the network configuration of the SDH network according to the network status of the SDH network; The network status of the SDH network is displayed to the user.

7. The method for detecting SDH network fault status based on data management network according to claim 6, characterized in that: The weighted processing of the operation status data collected by each SDH detection module to obtain the integrated operation status data includes: When the classification accuracy of the SDH network is less than a preset accuracy threshold, adjusting the initial data weight of each SDH detection module; According to the adjusted data weights of each SDH detection module, the integrated operation status data is obtained.

8. A SDH network fault status detection device based on a data management network, characterized in that: include: A data acquisition unit, used to acquire the operation status data of the SDH network through a plurality of SDH detection modules, each SDH detection module being used to monitor an SDH network node in the SDH network; A data transmission unit, used for transmitting the operating status data to a monitoring layer; A data processing unit, configured to perform weighted processing on the operation status data collected by each SDH detection module to obtain fused operation status data; determine the network status of the SDH network according to the fused operation status data; and adjust the network configuration of the SDH network according to the network status of the SDH network; The status display unit is used to display the network status of the SDH network to the user.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the SDH network fault status detection method based on the data management network as described in any one of claims 6 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for detecting a fault state of an SDH network based on a data management network as claimed in any one of claims 6 to 7 is implemented.

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