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Air conditioner load control system and method based on personnel information detection

A technology for personnel information and air-conditioning load, applied in heating and ventilation control systems, neural learning methods, heating and ventilation safety systems, etc. It can improve the load demand difference, enhance the hidden competitiveness, and enhance the thermal comfort effect.

Inactive Publication Date: 2016-08-31
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The existing BP neural network predicts the air-conditioning load in shopping malls, generally does not consider the influence of personnel factors or can not be predicted in real time due to problems such as technical closure, so there are shortcomings such as poor adaptability and time lag

Method used

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  • Air conditioner load control system and method based on personnel information detection
  • Air conditioner load control system and method based on personnel information detection
  • Air conditioner load control system and method based on personnel information detection

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Embodiment Construction

[0044] Such as figure 1 As shown, the air conditioning load control system based on personnel information detection of this embodiment includes: a BP neural network module for predicting air conditioning load after completing training, and a personnel information detection module for detecting personnel information within the working range of the air conditioning. The personnel information is the type of personnel and the corresponding quantity; the BP neural network module is equipped with the corresponding relationship between the air-conditioning load and the personnel information. The personnel information detection module includes a camera unit and a static personnel information calculation unit based on the Opencv function library. The unit inputs the obtained surveillance video in real time to the set static personnel information calculation unit based on the Opencv function library. The camera unit includes multiple cameras, covering the entire air-conditioned working sp...

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PUM

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Abstract

The invention discloses an air conditioner load control system based on personnel information detection. The air conditioner load control system comprises a BP neural network module used for completing training and predicting the air conditioner load quantity and further comprises a personnel information detection module used for detecting personnel information within the air conditioner working range. The personnel information comprises the personnel types and the corresponding quantities. The BP neural network module is provided with a corresponding relation between an air conditioner load and the personnel information. The invention further discloses an air conditioner load control method based on personnel information detection. According to the air conditioner load control system and method based on personnel information detection, compared with other personnel number acquisition technologies used for air conditioner load predicting, the personnel load requirement difference can be better analyzed, and the air conditioner load control system and method have very important significance for precise load management and control, internal personnel thermal comfort strengthening and comfortable artificial environment creating.

Description

Technical field [0001] The present invention relates to the field of management and control of air-conditioning loads, in particular to an air-conditioning load control system and method based on detection of personnel information. Background technique [0002] Energy and environmental issues are two major hot issues today, among which building energy consumption accounts for more than 15-60% of total energy consumption, and is an important part of achieving sustainable development strategies. Effective and scientific management of building energy consumption can not only improve energy efficiency, but also reduce carbon dioxide emissions. Artificial intelligence is the new favorite of scientific and technological development in the 21st century. "Deep learning" is a popular artificial intelligence technology. As a new field of research on machine learning, it aims to analyze and process data by imitating human brain neural networks and simulating human brain learning mechanisms....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/00G06Q10/04G06N3/04G06N3/08
CPCG06N3/04G06N3/084G06Q10/04F24F11/30F24F11/62
Inventor 何一坚吴艺超邬晗晖吴昊吴慧津陈晨涛
Owner ZHEJIANG UNIV
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