Unified operation and maintenance management system for informatization network equipment and use method

Abstract

The invention discloses a unified operation and maintenance management system for informatization network equipment and a use method, and relates to the field of information management. Comprising a data acquisition module which is in communication connection with informatization network equipment and is used for acquiring operation information of the informatization network equipment; the data processing module is in communication connection with the data acquisition module and is used for processing the acquired data; the data storage module is in communication connection with the data processing module and is used for storing the processed data; and the control module is in communication connection with the informatization network equipment and is used for controlling the informatization network equipment. According to the invention, the working data of the network equipment is subjected to informatization transmission and then is classified and stored, so that a large amount of data sets can be classified in the form of slices and blocks, and later operation and maintenance management is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of information management, and in particular to a unified operation and maintenance management system for information network equipment and a use method thereof. Background Art

[0002] Information network equipment is a variety of hardware and software devices used to connect, manage and control computer networks. They play a vital role in computer networks, ensuring that data can be transmitted efficiently and securely between nodes.

[0003] Network devices can be divided into two categories: physical devices and logical devices. Physical devices refer to the devices that actually exist in the network, including various connectors, cables, switches, routers, etc. These devices are responsible for connecting computers to the network to achieve data transmission and communication. Logical devices refer to the software and protocols that play a role in management, control and optimization in computer networks.

[0004] For integrated network devices, each device will generate a large amount of information data. When managing this information data, problems such as data confusion and data missing are prone to occur. Therefore, how to efficiently and conveniently process the large amount of data generated by network devices in an information-based and standardized manner is an issue that needs to be solved urgently.

[0005] To this end, the present invention proposes a unified operation and maintenance management system for information network equipment and a method for using the system. Summary of the invention

[0006] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a unified operation and maintenance management system for information network equipment and a method of use.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A unified operation and maintenance management system for information network equipment, comprising:

[0009] A data acquisition module, which is connected to the information network equipment for collecting operation information of the information network equipment;

[0010] A data processing module is communicatively connected to the data acquisition module and is used to process the acquired data;

[0011] A data storage module, which is communicatively connected to the data processing module and is used to store the processed data;

[0012] A control module, which is communicatively connected to the information network device and is used to control the information network device;

[0013] The interactive module consists of a control unit and a display unit, and is used to display content and control the system to the user;

[0014] The data processing of the data processing module includes data classification processing, data outlier processing and data normalization processing, and the data outlier processing includes data missing value filling and data duplicate value replacement;

[0015] The data missing value filling of the data processing module comprises the following steps:

[0016] A1: Get the currently missing time node p u And the n node data P before the missing node u-1 →P u-n , m nodes data P after missing node u+1 →P u+m ,;

[0017] A2: According to the formula Calculate and fill the missing nodes with the results, where k i P u-i The weight coefficient, k i ′ is P u+i The weight coefficient of .

[0018] Preferably: in step A2, k u -k u+1 is a constant greater than 0, k′ u -k′ u+1 is a constant greater than 0.

[0019] Preferably: in step A2, k u / k u+1 is a constant greater than 1, k′ u / k′ u+1 is a constant greater than 0 and less than 1.

[0020] Preferably, the data duplication value replacement of the data processing module comprises the following steps:

[0021] B1: Determine the collection time period t of the data collection module, then the collected data includes n collection time nodes t1→t i →t n ;

[0022] B2: Obtain the data of each collection node. If a time node contains two or more data, the two data are comprehensively evaluated and then the evaluation result replaces the original data;

[0023] B3: If a time node contains only one data, but there is data between two adjacent time nodes, the data is directly deleted.

[0024] Preferably: in step B2, the comprehensive evaluation method comprises the following steps:

[0025] B21: Set the fluctuation coefficient k;

[0026] B22: Get multiple data of the current node and the data of the previous node S i-1 and the data S of the next node i+1 , and calculate the evaluation criteria

[0027] B23: Clear all items that are not in the interval Multiple data in the last remaining data S i1 , S i2 , ……S in ;

[0028] B24: Then follow the formula Get the final evaluation results.

[0029] Preferably: the data normalization method of the data processing module comprises the following steps:

[0030] C1: Get mean μ and variance S;

[0031] C11: Traverse the data set according to the formula Calculate the mean μ of the data, X i is the data in the dataset;

[0032] C12: Traverse the data set according to the formula Calculate the variance S,X of the data i is the data in the data set, μ is the mean of the data;

[0033] C2: For each data point X in the dataset i , using the formula Normalize, S is the variance of the data set, μ is the mean of the data set, Y i The data is normalized.

[0034] Preferably: the data storage module includes:

[0035] Data sharding unit, which divides large-scale data into multiple pieces of data;

[0036] The data storage unit is composed of multiple storage nodes in a tree-like topology, that is, it contains n-level nodes, each level of nodes contains m storage nodes, and each node is represented by Q m n , which represents the mth storage node in the nth level;

[0037] Distributed index module, which is used for data query and matching.

[0038] Preferably: the data sharding method of the data sharding unit comprises the following steps:

[0039] D1: First, according to the number of the lowest level of data storage nodes p;

[0040] D2: Then divide the entire data packet into p data slices according to the number of the lowest-level data slices;

[0041] In the step D1, the data sharding method adopts a comprehensive method based on feature extraction and clustering, which includes the following steps:

[0042] D11: Data preprocessing: processing the data with coarse-grained missing values, abnormal values, and repeated values ​​to form regular data columns;

[0043] D12: Feature selection and classification: select p different feature types based on the characteristics of the data, and initially divide the data into p data slices based on different feature types;

[0044] D13: Randomly extract a data from each data slice as the initial cluster center;

[0045] D14: Set the distance threshold and calculate the distance between all data and the initial cluster center. If it is less than the threshold, the target data is classified into the initial cluster center.

[0046] Preferably, the data storage method of the data storage unit comprises the following steps:

[0047] E1: Store p data slices in p lowest-level data storage nodes respectively;

[0048] E2: Then, according to the topological structure of the storage nodes, all the data of the next level is combined and stored in the parent node until the top level is reached;

[0049] E3: After forming a complete data packet, all data can be stored accordingly.

[0050] A method for using a unified operation and maintenance management system for information network equipment comprises the following steps:

[0051] S1: The data acquisition module collects the operation information of the information network equipment and transmits the operation information to the data processing module;

[0052] S2: The data processing module performs data classification, data outlier processing and data normalization processing on the collected data, and then transmits the data to the data storage module;

[0053] S3: The data storage module stores the processed data;

[0054] S4: Users can query the stored data and control the network devices through the interactive module.

[0055] The beneficial effects of the present invention are:

[0056] 1. The present invention transmits the working data of the network equipment in an informationized manner, and then classifies and stores it, so that a large number of data sets can be classified in the form of slices and blocks, thereby facilitating subsequent operation and maintenance management.

[0057] 2. The present invention can replace duplicate values ​​and fill missing values ​​in the data when processing the data set, thereby ensuring the integrity of the data.

[0058] 3. In the process of classified storage, the present invention uses the classification method of cluster centers for classification on the basis of slices, so as to make the correlation between similar data better and increase the accuracy of classification. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 This is a system architecture diagram of a unified operation and maintenance management system for information network equipment proposed by the present invention;

[0060] Figure 2 A flowchart of a method for using a unified operation and maintenance management system for information network equipment proposed by the present invention;

[0061] Figure 3 This is a data storage module architecture diagram for a unified operation and maintenance management system for information network equipment proposed by the present invention. DETAILED DESCRIPTION

[0062] The technical solution of the present invention is further described in detail below in conjunction with specific implementation methods.

[0063] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", and "set" should be understood in a broad sense, for example, they can be fixedly connected or set, or detachably connected or set, or integrally connected or set. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] Embodiment 1:

[0065] A unified operation and maintenance management system for information network equipment, comprising:

[0066] A data acquisition module, which is connected to the information network equipment for collecting operation information of the information network equipment;

[0067] A data processing module is communicatively connected to the data acquisition module and is used to process the acquired data;

[0068] A data storage module, which is communicatively connected to the data processing module and is used to store the processed data;

[0069] A control module, which is communicatively connected to the information network device and is used to control the information network device;

[0070] The interactive module consists of a control unit and a display unit, and is used to display content and system control to users.

[0071] The data processing of the data processing module includes data classification processing, data outlier processing and data normalization processing, and the data outlier processing includes data missing value filling and data duplicate value replacement.

[0072] The data missing value filling of the data processing module comprises the following steps:

[0073] A1: Get the currently missing time node p u And the n node data P before the missing node u-1 →P u-n , m nodes data P after missing node u+1 →P u+m ,;

[0074] A2: According to the formula Calculate and fill the missing nodes with the results, where k i P u-i The weight coefficient, k i ′ is P u+i The weight coefficient of .

[0075] In step A2, k u -k u+1 is a constant greater than 0, k′ u -k′ u+1 is a constant greater than 0.

[0076] Embodiment 2:

[0077] A unified operation and maintenance management system for information network equipment, comprising:

[0078] A data acquisition module, which is connected to the information network equipment for collecting operation information of the information network equipment;

[0079] A data processing module is communicatively connected to the data acquisition module and is used to process the acquired data;

[0080] A data storage module, which is communicatively connected to the data processing module and is used to store the processed data;

[0081] A control module, which is communicatively connected to the information network device and is used to control the information network device;

[0082] The interactive module consists of a control unit and a display unit, and is used to display content and system control to users.

[0083] The data processing of the data processing module includes data classification processing, data outlier processing and data normalization processing, and the data outlier processing includes data missing value filling and data duplicate value replacement.

[0084] The data missing value filling of the data processing module comprises the following steps:

[0085] A1: Get the currently missing time node p u And the n node data P before the missing node u-1 →P u-n , m nodes data P after missing node u+1 →P u+m ,;

[0086] A2: According to the formula Calculate and fill the missing nodes with the results, where k i P u-i The weight coefficient, k i ′ is P u+i The weight coefficient of .

[0087] In step A2, k u / k u+1 is a constant greater than 1, k′ u / k′ u+1 is a constant greater than 0 and less than 1.

[0088] Embodiment 3:

[0089] A unified operation and maintenance management system for information network equipment, comprising:

[0090] A data acquisition module, which is connected to the information network equipment for collecting operation information of the information network equipment;

[0091] A data processing module is communicatively connected to the data acquisition module and is used to process the acquired data;

[0092] A data storage module, which is communicatively connected to the data processing module and is used to store the processed data;

[0093] A control module, which is communicatively connected to the information network device and is used to control the information network device;

[0094] The interactive module consists of a control unit and a display unit, and is used to display content and system control to users.

[0095] The data processing of the data processing module includes data classification processing, data outlier processing and data normalization processing, and the data outlier processing includes data missing value filling and data duplicate value replacement.

[0096] The data missing value filling of the data processing module comprises the following steps:

[0097] A1: Get the currently missing time node p u And the n node data P before the missing node u-1 →P u-n , m nodes data P after missing node u+1 →P u+m ,;

[0098] A2: According to the formula Calculate and fill the missing nodes with the results, where k i P u-i The weight coefficient, k i ′ is P u+i The weight coefficient of .

[0099] The data duplication value replacement of the data processing module comprises the following steps:

[0100] B1: Determine the collection time period t of the data collection module, then the collected data includes n collection time nodes t1→t i →t n ;

[0101] B2: Obtain the data of each collection node. If a time node contains two or more data, the two data are comprehensively evaluated and then the evaluation result replaces the original data;

[0102] B3: If a time node contains only one data, but there is data between two adjacent time nodes, the data is directly deleted.

[0103] In step B2, the comprehensive evaluation method includes the following steps:

[0104] B21: Set the fluctuation coefficient k;

[0105] B22: Get multiple data of the current node and the data of the previous node S i-1 and the data S of the next node i+1, and calculate the evaluation criteria

[0106] B23: Clear all items that are not in the interval Multiple data in the last remaining data S i1 , S i2 ,......S in ;

[0107] B24: Then follow the formula Get the final evaluation results.

[0108] Embodiment 4:

[0109] A unified operation and maintenance management system for information network equipment, comprising:

[0110] A data acquisition module, which is connected to the information network equipment for collecting operation information of the information network equipment;

[0111] A data processing module is communicatively connected to the data acquisition module and is used to process the acquired data;

[0112] A data storage module, which is communicatively connected to the data processing module and is used to store the processed data;

[0113] A control module, which is communicatively connected to the information network device and is used to control the information network device;

[0114] The interactive module consists of a control unit and a display unit, and is used to display content and system control to users.

[0115] The data processing of the data processing module includes data classification processing, data outlier processing and data normalization processing, and the data outlier processing includes data missing value filling and data duplicate value replacement.

[0116] The data missing value filling of the data processing module comprises the following steps:

[0117] A1: Get the currently missing time node p u And the n node data P before the missing node u-1 →P u-n , m nodes data P after missing node u+1 →P u+m ,;

[0118] A2: According to the formula Calculate and fill the missing nodes with the results, where k i P u-i The weight coefficient, k i ′ is Pu+i The weight coefficient of .

[0119] The data duplication value replacement of the data processing module comprises the following steps:

[0120] B1: Determine the collection time period t of the data collection module, then the collected data includes n collection time nodes t1→t i →t n ;

[0121] B2: Obtain the data of each collection node. If a time node contains two or more data, the two data are comprehensively evaluated and then the evaluation result replaces the original data;

[0122] B3: If a time node contains only one data, but there is data between two adjacent time nodes, the data is directly deleted.

[0123] In step B2, the comprehensive evaluation method includes the following steps:

[0124] B21: Set the fluctuation coefficient k;

[0125] B22: Get multiple data of the current node and the data of the previous node S i-1 and the data S of the next node i+1 , and calculate the evaluation criteria

[0126] B23: Clear all items that are not in the interval Multiple data in the last remaining data S i1 , S i2 , ……S in ;

[0127] B24: Then follow the formula Get the final evaluation results.

[0128] The data normalization method of the data processing module comprises the following steps:

[0129] C1: Get mean μ and variance S;

[0130] C11: Traverse the data set according to the formula Calculate the mean μ of the data, X i is the data in the dataset;

[0131] C12: Traverse the data set according to the formula Calculate the variance S,X of the data i is the data in the data set, μ is the mean of the data;

[0132] C2: For each data point X in the dataseti , using the formula Normalize, S is the variance of the data set, μ is the mean of the data set, Y i The data is normalized.

[0133] Embodiment 5:

[0134] A unified operation and maintenance management system for information network equipment, comprising:

[0135] A data acquisition module, which is connected to the information network equipment for collecting operation information of the information network equipment;

[0136] A data processing module is communicatively connected to the data acquisition module and is used to process the acquired data;

[0137] A data storage module, which is communicatively connected to the data processing module and is used to store the processed data;

[0138] A control module, which is communicatively connected to the information network device and is used to control the information network device;

[0139] The interactive module consists of a control unit and a display unit, and is used to display content and system control to users.

[0140] The data processing of the data processing module includes data classification processing, data outlier processing and data normalization processing, and the data outlier processing includes data missing value filling and data duplicate value replacement.

[0141] The data missing value filling of the data processing module comprises the following steps:

[0142] A1: Get the currently missing time node p u And the n node data P before the missing node u-1 →P u-n , m nodes data P after missing node u+1 →P u+m ,;

[0143] A2: According to the formula Calculate and fill the missing nodes with the results, where k i P u-i The weight coefficient, k i ′ is P u+i The weight coefficient of .

[0144] The data duplication value replacement of the data processing module comprises the following steps:

[0145] B1: Determine the collection time period t of the data collection module, then the collected data includes n collection time nodes t1→t i →t n ;

[0146] B2: Obtain the data of each collection node. If a time node contains two or more data, the two data are comprehensively evaluated and then the evaluation result replaces the original data;

[0147] B3: If a time node contains only one data, but there is data between two adjacent time nodes, the data is directly deleted.

[0148] In step B2, the comprehensive evaluation method includes the following steps:

[0149] B21: Set the fluctuation coefficient k;

[0150] B22: Get multiple data of the current node and the data of the previous node S i-1 and the data S of the next node i+1 , and calculate the evaluation criteria

[0151] B23: Clear all items that are not in the interval Multiple data in the last remaining data S i1 , S i2 , ……S in ;

[0152] B24: Then follow the formula Get the final evaluation results.

[0153] The data normalization method of the data processing module comprises the following steps:

[0154] C1: Get mean μ and variance S;

[0155] C11: Traverse the data set according to the formula Calculate the mean μ of the data, X i is the data in the dataset;

[0156] C12: Traverse the data set according to the formula Calculate the variance S,X of the data i is the data in the data set, μ is the mean of the data;

[0157] C2: For each data point X in the dataset i , using the formula Normalize, S is the variance of the data set, μ is the mean of the data set, Y i The data is normalized.

[0158] The data storage module comprises:

[0159] Data sharding unit, which divides large-scale data into multiple pieces of data;

[0160] The data storage unit is composed of multiple storage nodes in a tree-like topology, that is, it contains n-level nodes, each level of nodes contains m storage nodes, and each node is represented by Q m n , which represents the mth storage node in the nth level;

[0161] Distributed index module, which is used for data query and matching.

[0162] The data slicing method of the data slicing unit comprises the following steps:

[0163] D1: First, according to the number of the lowest level of data storage nodes p;

[0164] D2: Then divide the entire data packet into p data slices according to the number of the lowest-level data slices.

[0165] In the step D1, the data sharding method adopts a comprehensive method based on feature extraction and clustering, which includes the following steps:

[0166] D11: Data preprocessing: processing the data with coarse-grained missing values, abnormal values, and repeated values ​​to form regular data columns;

[0167] D12: Feature selection and classification: select p different feature types based on the characteristics of the data, and initially divide the data into p data slices based on different feature types;

[0168] D13: Randomly extract a data from each data slice as the initial cluster center;

[0169] D14: Set the distance threshold and calculate the distance between all data and the initial cluster center. If it is less than the threshold, the target data is classified into the initial cluster center.

[0170] The data storage method of the data storage unit comprises the following steps:

[0171] E1: Store p data slices in p lowest-level data storage nodes respectively;

[0172] E2: Then, according to the topological structure of the storage nodes, all the data of the next level is combined and stored in the parent node until the top level is reached;

[0173] E3: After forming a complete data packet, all data can be stored accordingly.

[0174] Embodiment 6:

[0175] A method for using a unified operation and maintenance management system for information network equipment comprises the following steps:

[0176] S1: The data acquisition module collects the operation information of the information network equipment and transmits the operation information to the data processing module;

[0177] S2: The data processing module performs data classification, data outlier processing and data normalization processing on the collected data, and then transmits the data to the data storage module;

[0178] S3: The data storage module stores the processed data;

[0179] S4: Users can query the stored data and control the network devices through the interactive module.

[0180] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A unified operation and maintenance management system for information network equipment, characterized in that: include: A data acquisition module, which is connected to the information network equipment for collecting operation information of the information network equipment; A data processing module is communicatively connected to the data acquisition module and is used to process the acquired data; A data storage module, which is communicatively connected to the data processing module and is used to store the processed data; A control module, which is communicatively connected to the information network device and is used to control the information network device; The interactive module consists of a control unit and a display unit, and is used to display content and control the system to the user; The data processing of the data processing module includes data classification processing, data outlier processing and data normalization processing, and the data outlier processing includes data missing value filling and data duplicate value replacement; The data missing value filling of the data processing module comprises the following steps: A1: Get the currently missing time node p u And the n node data P before the missing node u-1 →P u-n , the m node data P after the missing node u+1 →P u+m ,; A2: According to the formula Calculate and fill the missing nodes with the results, where k i P u-i The weight coefficient, k i ′ is P u+i The weight coefficient of .

2. The unified operation and maintenance management system for information network equipment according to claim 1, characterized in that: In step A2, k u -k u+1 is a constant greater than 0, k′ u -k′ u+1 is a constant greater than 0.

3. The unified operation and maintenance management system for information network equipment according to claim 1, characterized in that: In step A2, k u / k u+1 is a constant greater than 1, k′ u / k′ u+1 is a constant greater than 0 and less than 1.

4. The unified operation and maintenance management system for information network equipment according to claim 1, characterized in that: The data duplication value replacement of the data processing module comprises the following steps: B1: Determine the collection time period t of the data collection module, then the collected data includes n collection time nodes t1→t i →t n ; B2: Obtain the data of each collection node. If a time node contains two or more data, the two data are comprehensively evaluated and then the evaluation result replaces the original data; B3: If a time node contains only one data, but there is data between two adjacent time nodes, the data is directly deleted.

5. A unified operation and maintenance management system for information network equipment according to claim 4, characterized in that: In step B2, the comprehensive evaluation method includes the following steps: B21: Set the fluctuation coefficient k; B22: Get multiple data of the current node and the data of the previous node S i-1 and the data S of the next node i+1 , and calculate the evaluation criteria B23: Clear all items that are not in the interval Multiple data in the last remaining data S i1 , S i2 , ……S in ; B24: Then follow the formula Get the final evaluation results.

6. The unified operation and maintenance management system for information network equipment according to claim 1, characterized in that: The data normalization method of the data processing module comprises the following steps: C1: Get mean μ and variance S; C11: Traverse the data set according to the formula Calculate the mean μ of the data, X i is the data in the dataset; C12: Traverse the data set according to the formula Calculate the variance S,X of the data i is the data in the data set, μ is the mean of the data; C2: For each data point X in the dataset i , using the formula Normalize, S is the variance of the data set, μ is the mean of the data set, Y i The data is normalized.

7. The unified operation and maintenance management system for information network equipment according to claim 1, characterized in that: The data storage module comprises: Data sharding unit, which divides large-scale data into multiple pieces of data; The data storage unit is composed of multiple storage nodes in a tree-like topology, that is, it contains n-level nodes, each level of nodes contains m storage nodes, and each node is represented by Q m n , which represents the mth storage node in the nth level; Distributed index module, which is used for data query and matching.

8. A unified operation and maintenance management system for information network equipment according to claim 7, characterized in that: The data slicing method of the data slicing unit comprises the following steps: D1: First, according to the number of the lowest level of data storage nodes p; D2: Then divide the entire data packet into p data slices according to the number of the lowest-level data slices; In the step D1, the data sharding method adopts a comprehensive method based on feature extraction and clustering, which includes the following steps: D11: Data preprocessing: processing the data with coarse-grained missing values, abnormal values, and repeated values ​​to form regular data columns; D12: Feature selection and classification: select p different feature types based on the characteristics of the data, and initially divide the data into p data slices based on different feature types; D13: Randomly extract a data from each data slice as the initial cluster center; D14: Set the distance threshold and calculate the distance between all data and the initial cluster center. If it is less than the threshold, the target data is classified into the initial cluster center.

9. The unified operation and maintenance management system for information network equipment according to claim 7, characterized in that: The data storage method of the data storage unit comprises the following steps: E1: Store p data slices in p lowest-level data storage nodes respectively; E2: Then, according to the topological structure of the storage nodes, all the data of the next level is combined and stored in the parent node until the top level is reached; E3: After forming a complete data packet, all data can be stored accordingly.

10. A method for using a unified operation and maintenance management system for information network equipment according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1: The data acquisition module collects the operation information of the information network equipment and transmits the operation information to the data processing module; S2: The data processing module performs data classification, data outlier processing and data normalization processing on the collected data, and then transmits the data to the data storage module; S3: The data storage module stores the processed data; S4: Users can query the stored data and control the network devices through the interactive module.

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