Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-dimensional comprehensive display visual data display platform

A data display and platform technology, applied in visual data mining, structured data browsing, structured data retrieval, etc., can solve problems such as low integration of multiple data sources and single dimension

Pending Publication Date: 2022-07-12
STATE GRID HEBEI ELECTRIC POWER CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the dimension of visual processing of electric power big data is relatively single, and the degree of integration of multiple data sources is not high

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-dimensional comprehensive display visual data display platform
  • Multi-dimensional comprehensive display visual data display platform
  • Multi-dimensional comprehensive display visual data display platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] The invention discloses a multi-dimensional comprehensive display visual data display platform, which specifically includes a power data multi-dimensional expression module, which is used to provide several power data expression methods; The algorithm optimizes the power data expression method; the power data multidimensional expression feature extraction module, the power data multidimensional expression feature extraction module is used to extract the visual features of the optimized power data; the power data multidimensional expression feature fusion module, the power data multidimensional expression feature fusion Modules are used to fuse visual features and traditional features. Power data expression methods include two-dimensional vector display, star plane display, star coordinate display, radar data display and color data display.

Embodiment 2

[0060] The two-dimensional vector display includes: a data contains N-dimensional attribute values, and its attribute points are drawn on n parallel coordinate axes with equal distances, then the drawing formula of its parallel coordinates can be expressed as:

[0061]

[0062] Available: x i+1 =m i x i +b i i=1,2,3,...,n-1

[0063] where m i represents the slope m i =μ i +1 / μ i , b i means x i+1 Intersection b with the vertical axis i =a i+1 -m i a i , assuming that the distance of the vertical parallel coordinate axis is 1, that is, a i =1, i=1,2,3,...,n, then the coordinate point represented by the parallel coordinates in the two-dimensional space is:

[0064]

[0065] Among them, optimizing the two-dimensional vector display includes: selecting a data in the high-dimensional data set as the starting point P 1 , the ordinate value of this point is the smallest point in the data value, calculate P 1 After connecting with other points, the angle between...

Embodiment 3

[0103] The goal of feature selection is to select a set of optimal features with dimension d(d> and different features have different recognition effects in different data sets, so We want to perform feature selection optimization on the features of the visualization graph to find a set of optimal feature combinations. From the point of view of algorithm, visual graph feature selection is divided into: filter algorithm and global optimization algorithm. After the extraction of visual features, the classical dataset features are merged with the newly extracted visual features, which will generate a feature set with a very large dimension, while the actual classification and clustering process does not require so many dimensional features. If the dimension of data features is too large, the recognition process will consume a lot of time and may be oversaturated.

[0104] In various embodiments, the hardware implementation of the technology may directly use existing smart device...

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

No PUM Login to View More

Abstract

The invention discloses a multi-dimensional comprehensive display visual data display platform, which comprises an electric power data multi-dimensional expression module, and is characterized in that the electric power data multi-dimensional expression module is used for providing a plurality of electric power data expression methods; the power data multi-dimensional expression optimization module is used for optimizing a power data expression method by utilizing an algorithm; the power data multi-dimensional expression feature extraction module is used for extracting visual features of the optimized power data; and the power data multi-dimensional expression feature fusion module is used for fusing the visual features and the traditional features. According to the method, multi-dimensional comprehensive display of the electric power data is realized, high-dimensional data visual representation can be seen from a multi-dimensional comprehensive display result, electric power workers can quickly understand data information and capture hidden features, categories, relations, trends and the like in the data, more efficient decisions are generated, and the method is applied to actual production and life.

Description

technical field [0001] The invention relates to the technical field of power data processing, in particular to a multi-dimensional comprehensive display visualization data display platform. Background technique [0002] Data is the strategic resource of electric power enterprises. Mining the value of electric power data and exerting the potential of data assets can provide intelligent data analysis services for the production and operation of electric power enterprises with high quality and high efficiency. However, at present, the dimension of visual processing of power big data is relatively single, and the degree of integration of various data sources is not high. Therefore, it is obvious to provide a data processing method and device for power data visualization, so as to realize the fusion of multiple power data sources, improve the utilization rate of power data, and then meet the data analysis application requirements of power grid planning, operation and maintenance ...

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
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/26G06F16/28G06Q50/06
CPCG06F16/26G06F16/283G06Q50/06Y04S10/50
Inventor 常永娟贺月姜丹陈曦彭姣卢艳艳张博李涛
Owner STATE GRID HEBEI ELECTRIC POWER CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com