Ozone generator with sensor
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Solution Overview
Problem
Existing ozone foam dispensers lack a practical system for accurately monitoring and controlling ozone generation, especially under intermittent and fluctuating conditions, and existing ozone sensors are large, costly, power-intensive, and slow to respond, making them inadequate for ensuring adequate ozone levels during brief dispensing events.
Innovation Solution
A method and apparatus using sensors to monitor ozone generation by sensing parameters such as sound and electromagnetic radiation, allowing for real-time estimation and control of ozone production within an ozone generator, which can be integrated into hand cleaner dispensers to ensure accurate and efficient dispensing of ozonated air and liquid.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If known ozone sensors are used to monitor ozone generation, then ozone concentration can be detected, but the sensors are large, costly, power-intensive, and slow to respond
Solution Approach 1:
The patent replaces traditional mechanical/electronic ozone sensors with an acoustic field-based detection system. A speaker generates acoustic waves that interact with ozone molecules, and a microphone detects the resulting acoustic signals. This substitution of acoustic fields for conventional sensing mechanisms enables compact, low-cost, low-power ozone monitoring while achieving rapid response times suitable for real-time control of ozone generation in hand cleaner dispensers.
2Reliability
If ozone generation is monitored in real-time, then accurate ozone levels can be ensured, but existing sensors cannot respond quickly enough for brief dispensing events
Solution Approach 1:
The acoustic-based sensing system responds instantaneously to changes in ozone concentration, enabling real-time monitoring during brief dispensing events. The acoustic waves continuously interact with ozone molecules, providing immediate feedback for control systems to adjust ozone generation levels dynamically, ensuring accurate ozone delivery within the 1-2 second dispensing window.
Solution Approach 2:
The system implements real-time feedback control where the acoustic sensor continuously monitors ozone concentration and feeds this information back to the control system. The controller adjusts the ozone generator output based on this feedback, maintaining precise ozone levels throughout the dispensing process and enabling rapid response to changing conditions.
3Adaptability or versatility
If ozone generation is controlled under intermittent and fluctuating conditions, then dispensing can be flexible, but accurate monitoring and control becomes difficult
Solution Approach 1:
The acoustic sensing system provides continuous real-time feedback on ozone concentration, enabling the control system to maintain precise monitoring and control even during intermittent operation, startup conditions, and fluctuating dispensing patterns. This feedback mechanism allows the system to adapt to varying operational states while ensuring accurate ozone delivery.
Solution Approach 2:
The system is designed to dynamically adjust to changing operational conditions. The acoustic sensor and control system work together to maintain accurate ozone monitoring regardless of whether the dispenser is in steady-state operation, startup, shutdown, or intermittent use, providing adaptability across all dispensing scenarios.
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 solution enables precise monitoring and control of ozone generation, ensuring adequate ozone levels are achieved during dispensing events, improving user experience and maintaining effective disinfection without unnecessary delays or power consumption.
Implementation Method 1
Ozone is normally produced by passing an oxygen-containing gas through ultraviolet light or a corona discharge
Implementation Method 2
Ozone is normally produced by passing an oxygen-containing gas through ultraviolet light or a corona discharge
Implementation Method 3
sensing with a sensor, a parameter preferably selected from one or more of the group consisting of sound and electromagnetic radiation
Implementation Method 4
sensing with a sensor, a parameter preferably selected from one or more of the group consisting of sound and electromagnetic radiation
Implementation Method 5
Ozone naturally decomposes into oxygen within relatively short periods of time
Data Source
AI summary
A method for monitoring ozone generation in an oxygen containing gas within a chamber in an ozone generator in which ozone is generated comprising: sensing with a sensor a parameter within the chamber with time; wherein the parameter is selected from the group consisting of sound and electromagnetic radiation and estimating an amount of ozone generated with time as a function of the parameter sensed by the sensor.