Electric power information system health degree evaluation device

Abstract

The invention discloses a health degree evaluation device for an electric power information system, relates to the field of electric power information, and aims to solve the problem of poor evaluation accuracy caused by single evaluation method of an existing evaluation system. An index confirmation module is used for obtaining current monitoring data of an electric power information system to be subjected to health degree evaluation; the index quantification module is used for normalizing the monitoring data obtained by the index confirmation module and obtaining a current evaluation index quantification value based on the normalized monitoring data; the weight setting module is used for generating an index weight according to the evaluation index quantization value obtained by the index quantization module; the health assessment model is used for inputting the index weight generated by the weight setting module and representing the assessment index quantized value obtained by the index quantization module; and the health degree output module is used for outputting the evaluation index quantized value represented by the health evaluation model. The method has the beneficial effect that the accuracy of evaluating the health degree of the electric power information system is improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power information, and in particular to a device for evaluating the health of an electric power information system. Background Art

[0002] With the continuous development of science and technology, the popularity of intelligent means is increasing. For example, in the field of electricity, the power data detection function is gradually realized through the power information system. For example, the power information system is connected to the sensors of each component of the power equipment, and the data of the sensors is obtained at all times, so as to obtain the working voltage, current, etc. of each component of the power equipment. It can be seen that the power information system can achieve the function of supervising the various components of the power equipment at all times, so it can timely, efficiently and comprehensively evaluate the health of the power information system, realize the health assessment of the entire power information system, fully understand the operation status of the system, discover dangerous situations as early as possible, minimize losses, reduce maintenance manpower and security costs, and ensure the safety and stability of the operation of the power information system.

[0003] Most of the existing information system evaluation methods only rely on the underlying indicators of the power information system to judge the operating status of the power information system, but lack the evaluation of the overall performance of the power information system; resulting in poor evaluation accuracy. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the existing evaluation system has a single evaluation method, resulting in poor evaluation accuracy, and proposes a power information system health evaluation device.

[0005] The health evaluation device of a power information system described in the present invention comprises an indicator confirmation module, an indicator quantification module, a health assessment model, a weight setting module and a health output module;

[0006] An indicator confirmation module is used to obtain current monitoring data of the power information system to be evaluated for health;

[0007] The indicator quantification module is used to normalize the monitoring data obtained by the indicator confirmation module and obtain the quantitative value of the current evaluation indicator based on the normalized monitoring data;

[0008] A weight setting module is used to generate an indicator weight according to the evaluation indicator quantization value obtained by the indicator quantization module;

[0009] The health assessment model is used to input the indicator weights generated by the weight setting module and characterize the quantitative values ​​of the evaluation indicators obtained by the indicator quantification module;

[0010] The health output module is used to output the quantitative value of the evaluation index after the health evaluation model is represented.

[0011] Furthermore, the evaluation indicator quantification values ​​of the indicator quantification module include functional health quantification values, data health quantification values, user satisfaction quantification values, database health quantification values, storage device health quantification values, network health quantification values, virtual hardware health quantification values, middleware health quantification values, security configuration health quantification values, log audit health quantification values, access control health quantification values ​​and usage management health quantification values.

[0012] Furthermore, the functional health quantification value corresponds to monitoring data of the effectiveness of each function;

[0013] The data health quantification value corresponds to the monitoring data that is the probability of each data node passing the data integrity check per unit time;

[0014] The user satisfaction quantification value corresponds to the monitoring data, which is the feedback score of each user on the information system;

[0015] The database health quantification value, corresponding monitoring data includes database query efficiency, concurrent access number and database cache hit rate;

[0016] The storage device health quantification value, corresponding monitoring data includes bandwidth, storage capacity and IOPS idle rate;

[0017] The network health quantification value, the corresponding monitoring data includes the utilization rate of each network resource;

[0018] The virtual hardware health quantization value, corresponding monitoring data includes memory idle rate, CPU idle rate and hard disk idle rate;

[0019] The middleware health quantification value, the corresponding monitoring data includes the middleware interface response time and success rate;

[0020] The security configuration health quantification value, corresponding monitoring data includes patch updates and port openings;

[0021] The log audit health quantification value, corresponding to the monitoring data including system log audit and application log audit;

[0022] The access control health quantification value, corresponding to the monitoring data including account settings, password policies and permission settings;

[0023] The usage management health quantification value, and the corresponding monitoring data include the interface response time of the entire power information system.

[0024] Furthermore, the health assessment model includes an effectiveness health model, an efficiency health model and a safety health model;

[0025] The effectiveness health model characterizes effectiveness health through functional health quantification values, data health quantification values ​​and user satisfaction quantification values;

[0026] The high efficiency health model characterizes high efficiency health through the quantified value of database health, the quantified value of storage device health, the quantified value of network health, the quantified value of virtual hardware health and the quantified value of middleware health;

[0027] The security health model characterizes security health through security configuration health quantification value, log audit health quantification value, access control health quantification value and usage management health quantification value.

[0028] Furthermore, the weight setting module 4 generates the indicator weight according to the evaluation indicator quantification value obtained by the indicator quantification module by combining the optimized Delphi method with the hierarchical analysis method.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The power information system health assessment device of the present invention establishes a health assessment model of the power information system based on the power cloud platform, selects several assessment indicators closely related to the operation requirements of the power information system, and confirms the weights of the assessment model based on expert experience through the optimized Delphi method and hierarchical analysis method. The health of the information system is assessed from the bottom to the top at multiple levels, overcoming the problems of confusing assessment indicators, single assessment characteristics, and low confidence in assessment results in existing assessment methods, so that operation and maintenance personnel have a comprehensive understanding of the health of the entire system, make decisions quickly, and improve the accuracy of the health assessment of the power information system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a structural block diagram of a power information system health assessment device described in specific implementation mode one. DETAILED DESCRIPTION

[0032] Specific implementation method 1. Combination Figure 1 This embodiment is described. A power information system health evaluation device according to this embodiment includes an indicator confirmation module 1, an indicator quantification module 2, a health assessment model 3, a weight setting module 4 and a health output module 5;

[0033] The indicator confirmation module 1 is used to obtain the current monitoring data of the power information system to be evaluated for health;

[0034] The indicator quantification module 2 is used to normalize the monitoring data obtained by the indicator confirmation module 1, and obtain the quantitative value of the current evaluation indicator based on the normalized monitoring data;

[0035] The weight setting module 4 is used to generate the indicator weight according to the evaluation indicator quantization value obtained by the indicator quantization module 2;

[0036] The health assessment model 3 is used to input the indicator weights generated by the weight setting module 4 and characterize the quantitative values ​​of the assessment indicators obtained by the indicator quantification module 2;

[0037] The health output module 5 is used to output the quantitative value of the evaluation index represented by the health evaluation model 3.

[0038] In this embodiment, after the indicator confirmation module 1 obtains the current monitoring data of the power information system to be evaluated for health, the indicator quantification module 2 normalizes the monitoring data and obtains the current evaluation indicator quantification value based on the normalized monitoring data; the weight setting module 4 generates indicator weights according to the evaluation indicator quantification value obtained by the indicator quantification module 2, and constructs a health assessment model; the current evaluation indicator quantification value is input into the constructed health assessment model 3, and the current health assessment value of the power information system is output through the health output module 5; the health assessment model 3 selects several evaluation indicators that are closely related to the operation requirements of the power information system, and at the same time confirms the weight of the evaluation model based on expert experience through the optimized Delphi method and hierarchical analysis method, and evaluates the health of the information system from the bottom up in multiple levels, thereby improving the accuracy of the health assessment of the power information system.

[0039] Specific implementation method 2. This implementation method further limits the power information system health assessment device described in specific implementation method 1. In this implementation method, the evaluation index quantification value of the index quantification module 2 includes a functional health quantification value, a data health quantification value, a user satisfaction quantification value, a database health quantification value, a storage device health quantification value, a network health quantification value, a virtual hardware health quantification value, a middleware health quantification value, a security configuration health quantification value, a log audit health quantification value, an access control health quantification value and a usage management health quantification value.

[0040] Specific implementation method 3, this implementation method further limits the power information system health evaluation device described in specific implementation method 2. In this implementation method, the functional health quantification value corresponds to the monitoring data of the effectiveness of each function;

[0041] The data health quantification value corresponds to the monitoring data that is the probability of each data node passing the data integrity check per unit time;

[0042] The user satisfaction quantification value corresponds to the monitoring data, which is the feedback score of each user on the information system;

[0043] The database health quantification value, corresponding monitoring data includes database query efficiency, concurrent access number and database cache hit rate;

[0044] The storage device health quantification value, corresponding monitoring data includes bandwidth, storage capacity and IOPS idle rate;

[0045] The network health quantification value, the corresponding monitoring data includes the utilization rate of each network resource;

[0046] The virtual hardware health quantization value, corresponding monitoring data includes memory idle rate, CPU idle rate and hard disk idle rate;

[0047] The middleware health quantification value, the corresponding monitoring data includes the middleware interface response time and success rate;

[0048] The security configuration health quantification value, corresponding monitoring data includes patch updates and port openings;

[0049] The log audit health quantification value, corresponding to the monitoring data including system log audit and application log audit;

[0050] The access control health quantification value, corresponding to the monitoring data including account settings, password policies and permission settings;

[0051] The usage management health quantification value, and the corresponding monitoring data include the interface response time of the entire power information system.

[0052] Specific implementation method 4: This implementation method further limits the health evaluation device of a power information system described in specific implementation method 1. In this implementation method, the health evaluation model 3 includes an effectiveness health model, an efficiency health model and a safety health model;

[0053] The effectiveness health model characterizes effectiveness health through functional health quantification values, data health quantification values ​​and user satisfaction quantification values;

[0054] The high efficiency health model characterizes high efficiency health through the quantified value of database health, the quantified value of storage device health, the quantified value of network health, the quantified value of virtual hardware health and the quantified value of middleware health;

[0055] The security health model characterizes security health through security configuration health quantification value, log audit health quantification value, access control health quantification value and usage management health quantification value.

[0056] Specific implementation method five. This implementation method further limits the power information system health assessment device described in specific implementation method one. In this implementation method, the weight setting module 4 generates indicator weights based on the evaluation indicator quantification values ​​obtained by the indicator quantification module 2 by combining the optimized Delphi method with the hierarchical analysis method.

[0057] In this implementation, the weight of each monitoring data is scored using the hierarchical analysis method based on expert experience, and the weighted sum of each monitoring data is used to obtain the final quantitative value of the evaluation index. Only when all monitoring data are normal can the entire index be guaranteed to be in a healthy state. Therefore, when there is a value less than the minimum threshold in the monitoring data, the lowest value in the monitoring data is taken as the health of the evaluation index according to the barrel effect; at the same time, due to the complexity of the information system and the power cloud environment, the components and performance of each evaluation index are very different, so it is necessary to use different methods to normalize the monitoring data so that it becomes a value acceptable to the algorithm. Here, it is assumed that all normalized monitoring data are positively correlated with the evaluation index; according to the hierarchical analysis method, the square root method is used to calculate the maximum eigenvalue and the corresponding eigenvector for each judgment comparison matrix, and the consistency index, random consistency index and consistency ratio are used for consistency test. If the test passes, the corresponding eigenvector is normalized and used as the evaluation weight: if it fails, the pair comparison matrix needs to be reconstructed.

[0058] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A device for evaluating the health of a power information system, characterized in that: The health evaluation device comprises an indicator confirmation module (1), an indicator quantification module (2), a health evaluation model (3), a weight setting module (4) and a health output module (5); An indicator confirmation module (1) is used to obtain current monitoring data of the power information system to be evaluated for health; The indicator quantification module (2) is used to normalize the monitoring data obtained by the indicator confirmation module (1) and obtain the quantitative value of the current evaluation indicator based on the normalized monitoring data; A weight setting module (4) is used to generate an indicator weight according to the evaluation indicator quantization value obtained by the indicator quantization module (2); A health assessment model (3) is used to input the indicator weights generated by the weight setting module (4) and to characterize the quantitative values ​​of the assessment indicators obtained by the indicator quantification module (2); The health output module (5) is used to output the quantitative value of the evaluation index represented by the health evaluation model (3).

2. A power information system health evaluation device according to claim 1, characterized in that: The evaluation index quantification values ​​of the index quantification module (2) include function health quantification values, data health quantification values, user satisfaction quantification values, database health quantification values, storage device health quantification values, network health quantification values, virtual hardware health quantification values, middleware health quantification values, security configuration health quantification values, log audit health quantification values, access control health quantification values ​​and usage management health quantification values.

3. The power information system health evaluation device according to claim 2, characterized in that: The functional health quantification value corresponds to the monitoring data of the effectiveness of each function; The data health quantification value corresponds to the monitoring data that is the probability of each data node passing the data integrity check per unit time; The user satisfaction quantification value corresponds to the monitoring data of each user's feedback score on the information system; The database health quantification value, corresponding monitoring data includes database query efficiency, concurrent access number and database cache hit rate; The storage device health quantification value, corresponding monitoring data includes bandwidth, storage capacity and IOPS idle rate; The network health quantification value, the corresponding monitoring data includes the utilization rate of each network resource; The virtual hardware health quantization value, corresponding monitoring data includes memory idle rate, CPU idle rate and hard disk idle rate; The middleware health quantification value, the corresponding monitoring data includes the middleware interface response time and success rate; The security configuration health quantification value, corresponding monitoring data includes patch updates and port openings; The log audit health quantification value, corresponding to the monitoring data including system log audit and application log audit; The access control health quantification value, corresponding to the monitoring data including account settings, password policies and permission settings; The usage management health quantification value, and the corresponding monitoring data include the interface response time of the entire power information system.

4. The power information system health evaluation device according to claim 1, characterized in that: The health assessment model (3) includes an effectiveness health model, an efficiency health model and a safety health model; The effectiveness health model characterizes effectiveness health through functional health quantification values, data health quantification values ​​and user satisfaction quantification values; The high efficiency health model characterizes high efficiency health through the quantified value of database health, the quantified value of storage device health, the quantified value of network health, the quantified value of virtual hardware health and the quantified value of middleware health; The security health model characterizes security health through security configuration health quantification value, log audit health quantification value, access control health quantification value and usage management health quantification value.

5. The device for evaluating the health of a power information system according to claim 1, characterized in that: The weight setting module (4) generates indicator weights according to the evaluation indicator quantification values ​​obtained by the indicator quantification module (2) by combining the optimized Delphi method with the hierarchical analysis method.

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