Haze-control system
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Solution Overview
Problem
Current methods for controlling haze in entertainment venues lack real-time measurement and feedback mechanisms, leading to inconsistent haze levels and potential health risks for performers due to HVAC system interference, with no effective means to adjust haze production dynamically.
Innovation Solution
A system that utilizes particulate sensors to collect data on haze levels, analyzing this data to send command signals to haze generators for real-time adjustments, integrated with HVAC systems and lighting consoles for precise control, and employs machine learning to anticipate and adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If aerosolized PEG is used to generate haze, then visual effects are enhanced, but real-time measurement and control capability is lost
Solution Approach 1:
The patent implements a feedback control system where particulate sensors continuously measure haze levels and feed this data back to the haze generation system. This closed-loop feedback enables real-time adjustment of haze production to maintain target levels, resolving the contradiction by providing both visual enhancement and precise measurement control capability simultaneously
2Object-affected harmful factors
If HVAC systems operate continuously, then air quality is maintained, but haze persistence is reduced
Solution Approach 1:
The system dynamically adjusts HVAC operation based on real-time haze measurements. When haze levels are insufficient, the system reduces HVAC activity to allow haze persistence. When haze reaches target levels or exceeds them, HVAC operation is increased to maintain air quality. This dynamic adaptation resolves the contradiction by making HVAC operation conditional rather than continuous
Solution Approach 2:
The system changes HVAC operational parameters (such as fan speed, air flow rate, or cycling frequency) based on measured haze levels. By adjusting these parameters dynamically, the system can maintain air quality while allowing sufficient haze persistence for visual effects, resolving the contradiction between air quality maintenance and haze persistence
3Illumination intensity
If haze generation is increased, then visual effects are improved, but health risks to performers increase
Solution Approach 1:
The feedback control system continuously monitors haze levels and adjusts generation accordingly, preventing excessive haze accumulation that would pose health risks. The system maintains haze at target levels sufficient for visual effects while avoiding dangerous concentrations, thereby resolving the contradiction between visual effect quality and performer safety
Solution Approach 2:
The system replaces manual haze generation control with automated sensor-based control. Particulate sensors objectively measure haze levels and trigger automated adjustments, eliminating the need for manual estimation and reducing the risk of excessive haze generation that would harm performers while maintaining visual effect quality
4Device complexity
If manual haze control is used, then system complexity is reduced, but control precision and responsiveness are degraded
Solution Approach 1:
The system performs self-adjustment through automated feedback control. Sensors automatically detect haze levels and the control system autonomously adjusts haze generation without requiring manual intervention. This self-service capability maintains system simplicity while achieving high control precision and real-time responsiveness, resolving the contradiction between simplicity and precision
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 system provides precise, real-time control over haze levels, ensuring consistent visual effects and reducing health risks by dynamically adjusting haze production based on sensor data and environmental factors, enhancing both performance quality and safety.
Implementation Method 1
The aerosolized PEG reflects at least portions of the visible light spectrum, therefore changing the optical light transmission through the haze volume
Implementation Method 2
aerosolized polyethylene glycol (PEG), to create a non-transparent vapor
Data Source
AI summary
Various examples described herein include various mechanisms, techniques, and methods to control atmospheric effects in a venue. For example, a method for controlling atmospheric effects in a venue is disclosed. The method includes querying and receiving a number of particulate sensors; analyzing particulate sensor-data received from the plurality of particulate sensors; making a determination whether the particulate sensor-data substantially agrees with a pre-determined target level of an environmental effect; and based on a determination that the particulate sensor-data does not agree substantially with the pre-determined target level of the environmental effect, sending a command signal to one or more haze generators to vary a haze production level; and based on a determination that the particulate sensor-data does agree substantially with the pre-determined target level of the environmental effect, making a determination whether additional haze sequences remain to be completed within the venue. Other systems, techniques, and methods are also disclosed.