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

Industry reworking and reproducing degree monitoring method

An industry-level technology, applied in the field of energy consumption detection, can solve the problems of inability to understand the degree of resumption of work and production, lack of effective methods for monitoring, and inability to accurately judge the degree of resumption of work and production of enterprises.

Active Publication Date: 2020-09-18
STATE GRID ZHEJIANG ELECTRIC POWER +1
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the current lack of effective methods for monitoring the resumption of work and production in the industry, the inability to make accurate judgments on the degree of resumption of work and production of enterprises in the industry, let alone understand the degree of resumption of work and production in the industry as a whole, and provide a Monitoring methods for the degree of industrial resumption of work and production

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
  • Industry reworking and reproducing degree monitoring method
  • Industry reworking and reproducing degree monitoring method
  • Industry reworking and reproducing degree monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] A method for monitoring the degree of resumption of work and production in an industry, such as figure 1 shown, including the following steps:

[0051] Step 1. Obtain multivariate heterogeneous data related to the company's power resources over the years, and integrate the multivariate heterogeneous data;

[0052] Step 2, select several eigenvalues ​​of multivariate heterogeneous data, and cluster enterprises according to several eigenvalues;

[0053] Step 3. The enterprises under the same cluster are enterprises in the same industry. First, obtain the power resource usage data of the enterprises in the current year, and construct the power index curve of the enterprise’s resumption of work and production. Then the system calculates the average power resource utilization data of enterprises in the same industry, and constructs Industry resumption of production and production power index curve, enterprise resumption of production and production power index curve and ind...

Embodiment 2

[0083] Embodiment 2: A method for monitoring the degree of resumption of work and production in an industry. Its principle and implementation method are basically the same as in Embodiment 1. The difference is that in Step 2, the clustering method specifically includes the following sub-steps:

[0084] Sub-step 1, select the eigenvalues ​​of several multivariate heterogeneous data, and normalize the eigenvalues;

[0085] Sub-step 2, select several enterprises as clustering center enterprises, and other enterprises are enterprises to be clustered;

[0086] Sub-step 3, calculate the Euclidean distance according to the eigenvalues ​​of the multivariate heterogeneous data of the enterprise to be clustered and the eigenvalues ​​of the multivariate heterogeneous data of the cluster center enterprise. If the distance between an enterprise to be clustered and a cluster center enterprise is the shortest, Then divide the enterprise to be clustered into the cluster center enterprise clas...

Embodiment 3

[0090] Example 3: A method for monitoring the degree of resumption of work and production in an industry. Its principle and implementation method are basically the same as in Example 1. The difference is that in step 3, the power index curve of the resumption of work and production in the industry is compared with the data in previous years to determine the resumption of work in the industry. The specific method for the degree of resumption of production is: if the industry enters the resumption of work and production stage, calculate the ratio of electricity consumption to the average electricity consumption in the full capacity stage of previous years, and the ratio is the completion coefficient of resumption of work and production. Average electricity consumption increment, estimate the number of days required for the industry to enter the stage of full production capacity, or calculate the slope of the curve based on the electricity consumption curve that has entered the sta...

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 an industry re-work and re-production degree monitoring method, which comprises the steps of 1, obtaining power resource related multivariate heterogeneous data of an enterprise over the years, and fusing the multivariate heterogeneous data; step 2, selecting a plurality of characteristic values of the multivariate heterogeneous data, and clustering enterprises according tothe plurality of characteristic values; step 3, the enterprises under the same cluster are enterprises in the same industry; firstly, power resource use degree data of an enterprise in the current year are obtained; constructing an enterprise re-work and re-production power index curve; then, the system calculates the average power resource use degree data of enterprises in the same industry; andan industry rework and reproduction power index curve is constructed, the enterprise rework and reproduction power index curve and the industry rework and reproduction power index curve are comparedto judge the enterprise rework and reproduction degree, and the industry rework and reproduction power index curve and previous year data are compared to judge the industry rework and reproduction degree. The monitoring method provided by the invention can effectively and accurately judge the overall re-work and re-production condition of the industry.

Description

technical field [0001] The invention relates to the technical field of energy consumption detection, in particular to a method for monitoring the degree of resumption of work and production in an industry. Background technique [0002] The resumption of work and production refers to the resumption of work and production related to the unified guidance of the state and local governments after all or most of the enterprises and institutions are unable to carry out production activities, production and operation activities, or stop production due to special reasons, special periods, and extraordinary periods. Issues and series of issues. However, there is currently no effective method for monitoring the resumption of work and production in the industry, and it is impossible to make an accurate judgment on the degree of resumption of work and production of enterprises in the industry, let alone understand the degree of resumption of work and production in the industry as a whole...

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): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q50/06G06F18/23213G06F18/24G06F18/251
Inventor 郑斌潘巍巍侯素颖丁麒郭兰兰沈百强肖涛
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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