Scan Window Anti-Condensation Control via Dew Point Calculation
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Solution Overview
Problem
Data capture devices, such as handheld barcode scanners, experience reduced performance due to condensation forming on scan windows when moving between temperature-controlled and non-controlled environments, leading to insufficient or excessive activation of heating elements, resulting in inefficient operation and power consumption.
Innovation Solution
Incorporating non-contact temperature sensors, auxiliary temperature sensors, and humidity sensors to determine the dew point and control a heater integrated into the scan window, ensuring optimal power usage by assessing the likelihood of condensation and adjusting the heating element's power level accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the heater is activated to prevent condensation on the scan window, then data capture performance is maintained, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the heater power level based on environmental parameters (temperature and humidity) by calculating the dew point. When the scan window temperature approaches the dew point, the heater is activated or increased in power to prevent condensation. When conditions are dry, the heater power is reduced or turned off, optimizing energy consumption while maintaining performance.
Solution Approach 2:
The system uses temperature sensors and humidity sensors to continuously monitor environmental conditions and scan window temperature. This feedback is processed to determine condensation risk and adjust heater power levels accordingly, creating a closed-loop control system that balances performance and energy efficiency.
2Use of energy by moving object
If the heater power is reduced to save energy, then power consumption decreases, but condensation forms on the scan window
Solution Approach 1:
The system monitors environmental parameters (temperature and humidity) and adjusts heater power dynamically. When temperature and humidity indicate low condensation risk, heater power is reduced to save energy. When conditions approach the dew point, power is increased to prevent condensation, thus balancing energy efficiency with performance reliability.
Solution Approach 2:
The system proactively adjusts heater power based on predicted condensation risk by monitoring environmental conditions before condensation actually forms. This preliminary action prevents condensation while avoiding unnecessary heating, optimizing the balance between energy consumption and performance.
3Reliability
If the heater is continuously activated at high power, then condensation is prevented, but unnecessary energy is consumed
Solution Approach 1:
Instead of continuous full-power heating, the system applies partial heating only when necessary. The heater power level is modulated based on the calculated condensation risk from environmental sensors, applying just enough heat to prevent condensation when needed and reducing or eliminating heating when conditions are dry, thus avoiding energy waste while maintaining performance.
Solution Approach 2:
The system dynamically changes the heater power parameter based on environmental conditions. By calculating the dew point from temperature and humidity readings, the system adjusts heater power to match the actual condensation risk, preventing unnecessary energy consumption while ensuring performance reliability when needed.
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
Effectively mitigates condensation on scan windows, maintaining data capture performance while reducing power consumption by dynamically controlling the heater based on environmental conditions.
Implementation Method 1
a non-contact temperature sensor having a sensor field of view directed at the scan window
Implementation Method 2
a heater controllable to heat the window
Data Source
AI summary
A data capture device includes a housing supporting a window at a scan opening, a data capture module with a scanner field of view directed through the scan window, a heater controllable to heat the window, a non-contact temperature sensor with a sensor field of view directed at the scan window, an auxiliary temperature sensor, a humidity sensor, and a controller. The controller is configured to receive (i) a window temperature from the non-contact temperature sensor, (ii) an external ambient temperature from the auxiliary temperature sensor, and (iii) an external ambient humidity from the humidity sensor. The controller then determines a dew point according to the ambient temperature and the ambient humidity, and selects a power level for the heater based on a comparison of the window temperature and the dew point.