Systems and methods for real-time adaptive air quality and pollution control in food processing and other thermal processing environments
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Solution Overview
Problem
Existing ventilation systems in food processing and thermal environments lack real-time adaptability to effectively manage air quality and pollution, as they are limited by conventional designs that cannot dynamically adjust system parameters in response to changing conditions.
Innovation Solution
A ventilation system that utilizes computational fluid dynamics and Navier-Stokes convection-diffusion equations to dynamically adjust air velocity, pressure, and temperature, along with variable geometry, to optimize air quality and pollution control by integrating sensors and actuators for real-time adjustments based on environmental and user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional ventilation systems are used, then the system structure is simple and easy to manufacture, but the system cannot dynamically adjust to changing environmental conditions, resulting in poor air quality control
Solution Approach 1:
The patent implements dynamic geometry components that can change shape and position in real-time based on environmental conditions. The variable geometry intake and diffusers adjust their configuration dynamically to optimize airflow patterns and pollutant containment, transforming a static system into an adaptive one that responds to changing thermal processing conditions
Solution Approach 2:
The system incorporates sensors that continuously monitor environmental parameters such as temperature, airflow, and pollutant concentrations. This feedback is fed to a controller that automatically adjusts the variable geometry components and airflow rates, creating a closed-loop control system that maintains optimal air quality without manual intervention
Solution Approach 3:
The ventilation system is designed to handle multiple functions simultaneously: thermal management, pollutant containment, odor control, and energy efficiency. The same variable geometry components serve multiple purposes by adjusting airflow patterns to address different environmental challenges in thermal processing environments
2Reliability
If fixed geometry ventilation systems are used, then the device complexity is low, but the system cannot optimize air velocity, pressure, and temperature dynamically, resulting in suboptimal air quality
Solution Approach 1:
The system dynamically changes key airflow parameters including velocity, pressure, and temperature by adjusting the variable geometry components. The intake and diffuser geometries are modified in real-time to optimize these parameters according to the specific thermal processing conditions, ensuring reliable air quality control across varying operational scenarios
3Object-generated harmful factors
If conventional ventilation designs are used, then the manufacturing cost is low, but the system cannot predict contaminant propagation, resulting in poor pollution control
Solution Approach 1:
The system uses computational fluid dynamics modeling to predict contaminant propagation paths and patterns before pollutants disperse throughout the environment. This preliminary analysis allows the control system to pre-adjust the variable geometry components to optimal positions that prevent pollutant spread, addressing pollution control proactively rather than reactively
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
This approach enables the ventilation system to achieve optimal air quality and pollution control by predicting contaminant propagation and calculating errors, resulting in improved containment of pollutants and thermal management, enhancing both safety and user experience.
Implementation Method 1
Navier-Stokes convection-diffusion equations
Implementation Method 2
Navier-Stokes convection-diffusion equations
Implementation Method 3
modify the variable part of system boundary and controllable parameters such as, without limitation, air velocity, pressure, and temperature
Data Source
AI summary
In one embodiment, a method for controlling air quality in an unenclosed kitchen environment by a ventilation system includes determining an environmental state of the kitchen environment based on sensor data from sensors associated with the ventilation system, determining a current air quality of the kitchen environment based on the sensor data, determining adjustments for system-boundaries or air-manipulating devices associated with the ventilation system based on the current air quality and the environmental state, wherein the adjustments are configured to facilitate a target air quality of the kitchen environment; and adjusting the system-boundaries or air-manipulating devices associated with the ventilation system based on the determined adjustments.