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

Recognition method of on-line monitoring of power consumption of non-intrusive household appliances

A technology for household appliances and power consumption status, which is applied in the field of household appliance power consumption status identification, and can solve problems such as complex theoretical principles of identification algorithms, large amount of calculation, and insufficient identification accuracy

Inactive Publication Date: 2013-07-24
CHONGQING UNIV
View PDF2 Cites 71 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage is that the identification of equipment type based on power variation alone is not accurate enough for the identification of electrical equipment with small power differences, and the operating power value of each appliance load needs to be obtained in advance
[0012] To sum up, the theoretical principles of identification algorithms currently used in NILM research are relatively complex. For example, the research of the University of Hong Kong uses a combination of optimization and artificial neural network-based pattern recognition algorithms and committee decision-making mechanism decision algorithms, and the amount of calculation is relatively large. Large; In terms of signal acquisition, there are few studies on the collaborative extraction of steady-state parameters and transient parameters

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
  • Recognition method of on-line monitoring of power consumption of non-intrusive household appliances
  • Recognition method of on-line monitoring of power consumption of non-intrusive household appliances
  • Recognition method of on-line monitoring of power consumption of non-intrusive household appliances

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] The present invention will be further described below in conjunction with drawings and embodiments.

[0078] Such as figure 1 and figure 2 As shown, there are obvious differences in the transient characteristics and steady-state characteristics of different types of household appliances. The same type of electrical appliances, even if they are of different brands, have similar current waveforms when they start and work stably. It can also be seen from the figure that the start-up process of electrical appliances such as notebook computers is longer than other devices, exceeding 1000 current cycles, and there is no current pulse during the start-up process, and the current amplitude increases slowly. This type of process can be defined as a quasi-steady state process.

[0079] Such as image 3 As shown, when constructing the feature library, the positive and negative envelopes of the signal are generated at the same time, that is, the maximum value F(i) and the minim...

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 recognition method of on-line monitoring of power consumption of non-intrusive household appliances, and belongs to the field of recognition of the power consumption of the household appliances. By means of an intelligent electricity meter in a family close to the outdoor, instantaneous currents or instantaneous power signals are obtained, the obtained signals are processed, steady state / approximately steady state or transient state characteristics of the signals are obtained, characteristic information of the signals is compared with information in a feature library by means of the crossed weighted method, and therefore equipment which is invested or removed can be recognized. The recognition method is simple in algorithm and accurate in judgment, and does not influence normal operation of the household appliance equipment.

Description

technical field [0001] The invention relates to a method for identifying the electricity consumption status of household appliances, in particular to a non-invasive online monitoring and identification method for the electricity consumption status of household appliances. Background technique [0002] With the ever-increasing pressure on global resources and the environment, building a safer, more reliable, environmentally friendly and economical smart grid has become a common goal of the global power industry. At present, in the chain of power generation, transmission, distribution, and consumption, the interaction between the power grid and end users is relatively weak, which affects the overall performance and efficiency of the power system. [0003] In order to truly realize the interaction between the smart grid and users, to enable users to truly participate in the electricity market, and to bring huge benefits to system operation and asset management, it is necessary ...

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): G01R31/00
Inventor 曾礼强雍静王晓静杨本强杨岳李北海
Owner CHONGQING UNIV
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