Spray cooling fan control system and method based on the computer vision technology
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Solution Overview
Problem
Existing spray cooling systems fail to accurately and timely adjust to the number of people and their thermal comfort needs in outdoor environments, leading to inefficient energy consumption and thermal discomfort due to fixed positions and lack of real-time control.
Innovation Solution
A spray cooling fan control system utilizing computer vision technology for data acquisition, information processing, mobile control, intelligent voice interaction, and terminal control to dynamically adjust fan and spray operations based on real-time thermal comfort needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If spray cooling fans are positioned at fixed locations, then the system structure is simple, but the cooling effectiveness is reduced when people are at a relatively far distance from the fan
Solution Approach 1:
The spray cooling fan is transformed from a fixed position device to a mobile robot platform that can autonomously navigate and reposition itself. The mobile platform includes drive wheels, a controller, and sensors that enable dynamic movement to track and cool people in real-time, resolving the contradiction between fixed simplicity and mobile effectiveness
Solution Approach 2:
The system employs computer vision technology and thermal sensing to enable autonomous operation. The mobile spray cooling fan automatically detects people's positions, tracks their movement, and adjusts its own positioning and spraying operations without manual intervention, achieving both operational effectiveness and structural integration
2Adaptability or versatility
If spray cooling systems are regulated based on fixed temperature and humidity parameters, then the control system is simple, but the thermal comfort needs of people with different preferences are not met
Solution Approach 1:
The system incorporates thermal sensing devices and computer vision cameras that continuously monitor people's thermal states and positions. This real-time feedback is processed by a controller that adjusts spraying operations and mobile positioning dynamically, enabling adaptation to individual thermal comfort needs while maintaining an integrated control architecture
Solution Approach 2:
The system transitions from regulating fixed environmental parameters to dynamically adjusting spray characteristics (water flow rate, spray pattern) and positional parameters based on real-time detection of people's thermal states, movement trajectories, and environmental conditions, achieving personalized thermal comfort
3Reliability
If spray cooling fans operate continuously to maintain cooling, then the thermal comfort is maintained, but the energy consumption increases
Solution Approach 1:
The mobile spray cooling fan operates intermittently rather than continuously. It moves to positions where people are located and activates spraying only when needed, then pauses and repositions. This periodic operation pattern maintains thermal comfort reliability while significantly reducing energy consumption compared to continuous operation
Solution Approach 2:
The system replaces traditional continuous mechanical cooling with an intelligent mobile platform that uses computer vision and thermal sensing to target cooling only where and when needed. This substitution of intelligent control for mechanical continuous operation reduces energy consumption while maintaining comfort reliability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides precise and timely thermal comfort adjustment, reducing energy consumption and enhancing mobility and flexibility, ensuring accurate and humanized control of thermal environments.
Implementation Method 1
Common spray cooling fan makes people and the surrounding hot outdoor air for forced convection heat exchange
Implementation Method 2
The spray cooling fan and spray cooling pipe network using the spray for cooling improve the thermal environment
Data Source
AI summary
The invention discloses a spray cooling fan control system and method based on computer vision technology. The data acquisition system monitors person thermal comfort through various non-contact measurement methods, which improves the accuracy and instantaneity and achieves human thermal comfort and energy saving. The information processing system adjusts the air and spray volume based on human skin temperature and thermal sensation and plans the mobile path. The mobile control system moves the spray cooling fan to the optimal location so that the mobility and flexibility are enhanced. The intelligent voice interaction system and the end control system control the opening of the fan intelligently and humanely so that people become the main subject which controls the environmental temperature optimization equipment. Consequently, the invention cools person precisely and meets the thermal environment control and personnel thermal needs quickly.