Ventilator unit and method for autonomous ventilation using the ventilator unit
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Solution Overview
Problem
Existing ventilation systems are complex, energy inefficient, and difficult to retrofit into existing buildings, often requiring central processing devices and distributed wireless networks that are vulnerable to communication issues and take time to adjust to occupancy changes.
Innovation Solution
A ventilator unit with an infinitely openable and closable valve, actuator, and controller that autonomously regulates airflow based on air measurement data, allowing for easy installation and operation without central control, and can be used for both inflow and outflow situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a central processing device controls all ventilator units via distributed wireless network, then system coordination is achieved, but system complexity increases and vulnerability to communication issues arises
Solution Approach 1:
The patent divides the ventilation system into independent ventilator units, each with its own controller that autonomously makes decisions based on local sensor data. This segmentation eliminates the need for complex centralized control and wireless communication networks, while improving reliability through decentralized operation.
Solution Approach 2:
Each ventilator unit is equipped with sensors and a controller that enable it to autonomously monitor air quality parameters and adjust its operation without external control. This self-service capability removes dependency on central processing devices and communication infrastructure, simplifying the system while enhancing reliability.
2Ease of manufacture
If ventilator unit inlet extends sideways to accommodate fan and components, then sufficient space is provided for components, but device size increases and installation becomes complex
Solution Approach 1:
The patent repositions the fan and other components vertically within the ceiling space rather than extending the inlet sideways. This dimensional rearrangement accommodates all necessary components within a compact footprint, simplifying installation while minimizing device volume.
3Ease of operation
If ventilation mode changes only after person enters space, then system responds to actual occupancy, but response time is delayed and comfort is reduced
Solution Approach 1:
The patent implements machine learning algorithms that analyze sensor data patterns to predict when occupants will enter a space. The ventilator unit proactively adjusts ventilation mode in advance of the predicted occupancy, eliminating delays and ensuring immediate comfort upon entry.
Solution Approach 2:
The system continuously monitors sensor data and uses machine learning to adapt its behavior based on patterns in the feedback. This enables predictive adjustment of ventilation modes, improving response time and occupant comfort while maintaining energy efficiency.
4Measurement precision
If multiple sensors are deployed to monitor entire space, then occupancy detection accuracy improves, but system complexity and cost increase
Solution Approach 1:
The patent extracts the occupancy detection function from a multi-sensor system and implements it using a single integrated sensor unit combined with machine learning algorithms. This approach maintains measurement precision by using intelligent data processing while eliminating the complexity of multiple sensors and their coordination.
Data Source
AI summary
The invention relates to a ventilator unit comprising a housing defining an air passage with a first port and a second port, a valve arranged in the air passage to control the air flow rate through the air passage, an actuator configured to operate the valve, and a controller configured to drive the actuator. The housing at the first port is configured to connect the first port to a duct outlet, and wherein the controller is configured to autonomously determine a drive signal to be sent to the actuator based on air measurement data.