Unlock instant, AI-driven research and patent intelligence for your innovation.

Combined feature design method based on V-I track feature image reconstruction

A technology of combining features and feature images, which is applied in computing, computer parts, special data processing applications, etc., can solve problems such as low solution efficiency and complicated method steps, simplify steps, improve solution efficiency, and maintain accurate electrical identification degree of effect

Pending Publication Date: 2022-06-24
GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the above-mentioned "two-stage identification" method steps are more complicated and the solution efficiency is low

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
  • Combined feature design method based on V-I track feature image reconstruction
  • Combined feature design method based on V-I track feature image reconstruction
  • Combined feature design method based on V-I track feature image reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] as attached figure 1 As shown, this embodiment provides a combined feature design method based on V-I trajectory feature image reconstruction, including the following steps:

[0059] S1: Calculate the active and reactive power characteristics of the electrical appliance based on the voltage and current sampling data during the steady-state operation of the electrical appliance;

[0060] S2: Calculate the steady-state V-I trajectory characteristics of the appliance based on the voltage and current sampling data during steady-state operation of the appliance;

[0061] S3: Based on the maximum and minimum values ​​of the active and reactive power of the electrical appliances in the monitored area, normalize the active and reactive power eigenvalues ​​obtained in step S1, so that their values ​​are mapped to the interval [0 ,1];

[0062] S4: Combine the steady-state V-I trajectory feature of the electrical appliance with the mapped active and reactive power features.

[...

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 belongs to the technical field of non-intrusive load power consumption monitoring, and discloses a V-I track feature image reconstruction-based electric appliance operation feature extraction method, which comprises the following steps of: calculating active and reactive power features of an electric appliance based on voltage and current sampling data during steady-state operation of the electric appliance; calculating steady-state V-I track characteristics of the electric appliance based on the voltage and current sampling data during steady-state operation of the electric appliance; 2, normalizing the characteristic values of the active power and the reactive power obtained in the step 1 by taking the maximum values and the minimum values of the active power and the reactive power of the electric appliances in the monitored area as references, and mapping the values to an interval [0, 1]; and combining the steady-state V-I track characteristics of the electric appliance with the mapped active and reactive power characteristics. The method realizes fusion of active and reactive power features in a numerical form and V-I track features in an image form, improves the resolving efficiency of the method, and still maintains the electrical appliance identification accuracy of an original NILM method.

Description

technical field [0001] The invention belongs to the technical field of non-invasive load power consumption monitoring, and in particular relates to a combined feature design method based on V-I trajectory feature image reconstruction. Background technique [0002] Non-Intrusive Load Monitoring (NILM) is the main method to understand the user's power consumption characteristics. , Optimizing the load energy consumption mode provides data basis and guidance, and is an important supporting technology for users to participate in the two-way interaction of the power grid. [0003] NILM can complete the load monitoring task by installing a load monitoring device at the entrance of the power line and use the NILM software to analyze the electrical signals of the whole house, and realize the operation monitoring of the electrical appliances in the monitoring area. NILM software mainly realizes three functional steps: data sampling and processing, electrical appliance operating feat...

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
IPC IPC(8): G06K9/62G06F17/16G06F17/14G06V10/80
CPCG06F17/142G06F17/16G06F18/253
Inventor 鲍海波黄晓胜郭小璇李江伟李绍坚陈子民郭敏高莫江婷王益成谭世明简曾鸿陈广生黄世海隆启伟吴宇璋
Owner GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU