Carbon emission inversion system and method based on deep learning

A technology of carbon emissions and deep learning, applied in the field of carbon emissions inversion system based on deep learning, can solve problems such as the inability to display corporate carbon emissions data

Pending Publication Date: 2022-01-28
重庆东煌高新科技有限公司
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is to provide a carbon emission inversion system and method based on deep learning to solve th...

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
  • Carbon emission inversion system and method based on deep learning
  • Carbon emission inversion system and method based on deep learning
  • Carbon emission inversion system and method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The following is further described in detail through specific implementation methods:

[0059] The embodiment is basically as attached figure 1 , figure 2 Shown: The carbon emission inversion system based on deep learning, including server and client, the server includes real-time data acquisition module, carbon emission calculation module, carbon emission prediction module, data anomaly detection module and push module, among which , the real-time data acquisition module is used to collect real-time data on carbon emissions and electricity consumption of enterprises. In this embodiment, the real-time data acquisition module mainly collects data from thermal power enterprises, and the sources of carbon emissions from thermal power enterprises mainly consist of three parts. Including fossil fuel combustion, desulfurization process, and carbon emissions generated by purchased electricity. Among them, fossil fuel combustion and desulfurized processes can be monitored and...

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 field of carbon emission inversion, and particularly relates to a carbon emission inversion system and method based on deep learning. The system comprises a server and a client, wherein the server firstly collects enterprise real-time carbon emission data and real-time power utilization data; then a real-time emission condition is calculated through a carbon emission calculation module; meanwhile, a carbon emission prediction module is used for predicting a future emission condition; a data abnormity monitoring module is used for detecting and analyzing abnormal conditions in a prediction result; and finally, the client is used for displaying the data collected by the server, a carbon emission real-time calculation result and a abnormal condition analysis result in real time. The system and the method have the advantages that the problem that enterprise carbon emission data cannot be displayed in real time through a three-dimensional BIM model in the prior art can be solved, abnormal data of carbon emission can be detected, and generation reasons can be analyzed.

Description

technical field [0001] The invention belongs to the field of carbon emission inversion, in particular to a carbon emission inversion system and method based on deep learning. Background technique [0002] Calculation methods for carbon emissions include theoretical accounting methods and direct measurement methods. At present, when calculating carbon emissions in my country, theoretical accounting methods are usually used, although some power generation companies use direct measurement methods to calculate carbon emissions from power plants. , but has not yet established a systematic mining analysis for carbon emissions. The premise of calculating carbon emissions needs to be applied to the online monitoring technology of carbon emissions. [0003] The online monitoring technology of carbon emissions in the prior art mainly adopts the continuous flue gas emission monitoring system CEMS method, which arranges online monitoring equipment at the outlets of fixed pollution sourc...

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): G06F16/26G06F16/2458G06Q50/26
CPCG06F16/26G06F16/2462G06Q50/26Y02P90/84
Inventor 冯磊周后飞王华平卢呈远雷雨马东陈艺尹邓佑超
Owner 重庆东煌高新科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap