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State-based energy digital twin construction method

A construction method and twinning technology, applied in the field of digital twins, to achieve the effects of optimizing and improving energy-related parameters, correcting distortion, and improving energy efficiency

Pending Publication Date: 2022-03-25
STATE GRID ZHEJIANG ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The problem solved by the present invention is how to improve the distortion of energy behavior in the simulation or prediction based on the state-based energy model

Method used

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  • State-based energy digital twin construction method
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  • State-based energy digital twin construction method

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Embodiment Construction

[0023] In order to make the above objects, features and advantages of the present invention more comprehensible, specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0024] Such as figure 1 A construction method of a state-based energy digital twin is shown, the energy digital twin model includes physical space and digital space, and the physical space includes physical equipment and multi-source data for collecting and storing physical equipment. The edge database, the digital space includes a data fusion module for data fusion of multi-source data in the edge database, an energy model for simulating or predicting energy consumption behavior, and for calculating the power of each state and the corresponding Data-driven hybrid Petri networks for durations, Gaussian kernel extreme learning machines, and a digital twin database for storing energy model simulation results.

[0025] The data fusion module...

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Abstract

The invention provides a state-based energy digital twinborn body construction method, an energy digital twinborn model comprises a physical space and a digital space, and the physical space comprises a physical device and an edge database. The digital space comprises a data fusion module, an energy model for simulating or predicting an energy consumption behavior, a data-driven hybrid Petri network, a Gaussian kernel extreme learning machine and a digital twinborn database; according to the invention, the Gaussian kernel extreme learning machine is adopted to fit the instantaneous emission speed during continuous energy consumption transition, and the Gaussian kernel extreme learning machine is combined with the data-driven hybrid Petri network to predict the energy behavior of the physical equipment, so that the distortion of the energy behavior of the energy model in simulation or prediction is corrected; the effects of energy consumption calculation, abnormal energy consumption positioning, energy efficiency index evaluation, energy related parameter optimization and energy efficiency improvement are achieved.

Description

technical field [0001] The invention relates to the technical field of digital twins, in particular, to a method for constructing a state-based energy digital twin. Background technique [0002] Energy management systems are useful tools that facilitate energy-related data collection, analysis, diagnostics, trend discovery, and decision-making. Energy management systems integrate many supporting tools and methods, such as energy modeling and analysis, energy assessment, environmental emission calculations, and energy benchmarking. At present, energy management in the manufacturing industry is mainly based on the measurement and application of energy-related data from physical equipment using technologies such as the Internet of Things. [0003] DT technology (Digital Twin) digital twin, also known as digital twin, provides new opportunities to improve the performance of energy consumption monitoring, analysis and optimization of energy efficiency in manufacturing. The esta...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F16/901G06N3/04G06N3/08G06K9/62
CPCG06Q10/04G06Q10/067G06Q50/06G06F16/901G06N3/08G06N3/045G06F18/2135G06F18/25Y02D10/00Y02P80/10Y02P90/82
Inventor 谷纪亭徐晨博吴赫君张佳妮
Owner STATE GRID ZHEJIANG ELECTRIC POWER