Multi-area artificial fog pipe network intelligent control method and system based on YOLOv5 algorithm
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Solution Overview
Problem
Traditional artificial fog systems rely on manual operation, leading to inefficiencies such as waste of human resources, unprofessional administration, lack of feedback mechanisms, and resource waste due to non-targeted operation.
Innovation Solution
A multi-area artificial fog pipe network control method and system based on the YOLOv5 algorithm, which uses real-time data from air temperature, humidity, video monitoring, and thermal sensation to automatically control the fog production and atomizing nozzle openings in different areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation by equipment administrator is used to control artificial fog system, then system can be operated with simple control mechanism, but waste of human resources and unprofessional administration occurs
Solution Approach 1:
The artificial fog system performs self-control through automatic detection of thermal environment parameters and automated adjustment of fog output based on detected conditions, eliminating the need for manual operation by equipment administrators while maintaining simple control interface
Solution Approach 2:
The patent replaces manual mechanical control operations with automated electronic detection and control systems that monitor thermal environment parameters and automatically adjust fog system operation based on detected conditions
2Reliability
If artificial fog system operates continuously to ensure thermal comfort, then group thermal comfort is maintained, but resource and energy waste increases
Solution Approach 1:
The fog system dynamically adjusts its operation based on real-time detection of thermal environment parameters and human presence, transitioning between active fog generation and standby states to match actual cooling需求的
Solution Approach 2:
The system incorporates feedback mechanisms that detect thermal environment parameters and human presence, then use this information to automatically adjust fog system operation, ensuring thermal comfort is maintained only when and where needed
3Area of stationary object
If artificial fog system operates in all areas simultaneously, then comprehensive cooling coverage is achieved, but resource waste increases when few people are present
Solution Approach 1:
The system provides differentiated fog cooling to different areas based on local detection of human presence and thermal conditions, activating fog generation only in specific subareas where cooling is actually needed rather than uniform system-wide operation
4Device complexity
If equipment administrator manually adjusts fog system based on personal thermal sensation, then system can be operated without automated detection equipment, but actual effect is far from expected effect
Solution Approach 1:
The patent replaces subjective human thermal sensation judgment with objective automated detection of thermal environment parameters, using electronic sensors and processing systems to accurately measure and respond to actual thermal conditions
Data Source
AI summary
A multi-area artificial fog pipe network control method and system based on a you only look once version 5 (YOLOv5) algorithm are provided. The method includes: obtaining thermal sensation data of each target person based on facial skin temperature; calculating group thermal sensation data of each subarea and total group thermal sensation data of an artificial fog pipe network area; determining a total flow of fog-making water introduced into the artificial fog pipe network according to target number of people and total group thermal sensation data; controlling opening gears of atomization nozzles on the artificial fog pipe networks in subareas according to a number of the target person in each subarea, the group thermal sensation data and a micro-action type of each target person.