Information equipment operation state evaluation method
A technology for operating status and information equipment, which is applied in digital data information retrieval, fuzzy logic-based systems, logic circuits, etc., can solve problems such as low processing efficiency, and achieve good scalability, speedup, and wide applicability.
Pending Publication Date: 2022-02-18
国网吉林省电力有限公司信息通信公司
View PDF0 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The present invention aims at the characteristics of large volume, many types, fast generation speed and high precision of power grid equipment monitoring data under the background of electric power big data, while the traditional equipment operation state evaluation method has the problem of low processing efficiency under the background of electric power big data. A method for evaluating the operating status of information equipment is proposed
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0028] refer to figure 1 , a method for evaluating the operating state of information equipment is described in detail, including the following steps:
[0029] 1) Analysis of attribute discretization method based on likelihood ratio hypothesis test.
[0030] (1.1) Construct the initial contingency table, as shown in Table 1. Suppose the data set has N records in total, and the category attribute d={d 1 , d 2 ,...,d l}, condition attribute a k ∈{a 1 , a 2 ,...,a s}, select the attribute to be discretized a k and the category attribute values in the corresponding records to obtain the data table to be processed. Press the records in the table by a k Sort the values from small to large, merge a k Records with the same value and sum the attribute values of each category separately. take adjacent a k The midpoint of the value is used as a breakpoint to divide the initial interval, and m initial discrete intervals are divided where a k min =a k1 , a k max =a ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides an information equipment operation state evaluation method for solving the problems that power grid equipment monitoring data has the characteristics of large volume, multiple types, high generation speed, high precision and the like under the background of electric power big data, and a traditional equipment operation state evaluation method has low processing efficiency under the background of the electric power big data. The method includes: firstly, analyzing the characteristic that a traditional continuous attribute discretization method cannot meet the efficient processing requirement, so that parallelization attribute discretization based on likelihood ratio hypothesis testing is achieved, and mass equipment state data preprocessing is completed; then, through multi-dimensional characteristic quantity analysis of mass equipment state data, establishing an equipment state evaluation index system, and based on an analytic hierarchy process, carrying out weight distribution according to the coarse and fine granularity and the cluster relationship of each type of index; and finally, calculating the index degradation degree by adopting a BP neural network which is improved by parallelization of a MapReduce calculation framework, and constructing an equipment state evaluation model based on a fuzzy comprehensive evaluation method.
Description
technical field [0001] The invention relates to the field of how to improve the discretization efficiency of massive continuous grid equipment monitoring data, and is a method for evaluating the operating state of information equipment. Background technique [0002] With the construction of smart grid and the development of power Internet of Things, massive continuous grid equipment monitoring data has brought great challenges to traditional attribute discretization methods. The characteristics of real-time processing of electric power big data make it require higher speed of data processing and analysis. Therefore, how to improve the discretization efficiency of massive continuous grid equipment monitoring data has become an urgent problem for grid companies. [0003] As a key step in data preprocessing, continuous attribute discretization has long attracted the attention of researchers. For example, the multi-attribute global clustering discretization method uses Ameva st...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06N7/02G06Q50/06
CPCG06F16/2462G06N7/02G06Q50/06
Inventor 吕洪波郝成亮马旭东张凯樊家树
Owner 国网吉林省电力有限公司信息通信公司