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Pedestrian flow counting-based intelligent detection method for indoor dynamic cold load

A technology of intelligent detection and human flow, applied in instruments, time registers, individual input/output registers, etc., can solve problems such as target tracking errors, human head features cannot represent all of people, and incompleteness, etc. Optimize energy-saving control, ensure relative stability, and reduce the effect of CPU pressure

Inactive Publication Date: 2012-12-19
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, it is not comprehensive to identify targets only by human head features
First of all, if you want to obtain the head features of people well, the camera is required to have a certain height and tilt angle, which has a certain space limit for the deployment of camera equipment; secondly, the head features cannot represent all of the people. people may have similar head features, which can lead to object tracking errors

Method used

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  • Pedestrian flow counting-based intelligent detection method for indoor dynamic cold load
  • Pedestrian flow counting-based intelligent detection method for indoor dynamic cold load
  • Pedestrian flow counting-based intelligent detection method for indoor dynamic cold load

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Experimental program
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Embodiment

[0073] Such as figure 1 As shown, the indoor dynamic cooling load intelligent detection method based on people flow statistics in this embodiment includes the following steps:

[0074] (1) Camera equipment is used to collect video image data at the entrance and exit of the room and the surrounding areas in real time, and uploaded to the server through the network; among them, the video image is first compressed by H264 encoding in the camera equipment, and after uploading to the server, it is uploaded to the server. decoding;

[0075] (2) Set a rectangular frame in the video image as the area of ​​interest, and select the incoming line and the outgoing line in the area of ​​interest; the incoming line indicates the boundary line entering the room, and the outgoing line indicates the boundary line leaving the room; the incoming line and the outgoing line surround into a closed area. Such as figure 2 As shown, when the camera is installed indoors and facing the door, only th...

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Abstract

The invention discloses a pedestrian flow counting-based intelligent detection method for an indoor dynamic cold load. The number of residual pedestrians is obtained by counting the flow of pedestrians who enter or exit from a room; and finally, a dynamic cold load is calculated by combining the current time, the indoor temperature, a clustering coefficient of places, the labor intensity of pedestrians and the total time of the pedestrians detained in the room. The pedestrian flow is counted by video mounting of inlet and outlet areas of the room. The pedestrian flow counting-based intelligent detection method comprises the following steps of: firstly, detecting an area of an object by adopting a moving object detection algorithm; secondly, tracking a motion curve of the object by adopting a tracking algorithm; and finally, analyzing the behavior of the object according to the motion curve and the layout of the room. According to the pedestrian flow counting-based intelligent detection method disclosed by the invention, the pedestrian flow can be counted more accurately, accurate and reliable real-time cold load data are provided for the operation of an indoor air conditioner and the optimized energy-saving control is realized.

Description

technical field [0001] The invention relates to a detection method for indoor dynamic cooling loads, in particular to an intelligent detection method for indoor dynamic cooling loads based on people flow statistics. Background technique [0002] At present, the technical research on indoor static cooling load detection is quite mature. For example, the application number is CN201010610670.7, and the invention patent titled "Real-time Cooling Load Determination Method for Air-Conditioned Room". However, as the number of people in the room changes, the cooling load in the room should also change accordingly. If the air conditioner only considers the static cooling load factor, then the cooling effect will be insufficient if there are too many people, and energy will be wasted if there are few people. Therefore, it is not enough to detect the cooling load only by the indoor equipment environment, and the factors of the indoor flow of people must be fully considered. [0003] ...

Claims

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Application Information

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IPC IPC(8): G07C9/00
Inventor 彭新一曹炼强刘孜文黄志玮
Owner SOUTH CHINA UNIV OF TECH
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