Smart Personal Protective Equipment: Sensing and Control
The future of face masks
J.J.M. Lut (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M. Goddijn (TU Delft - Electrical Engineering, Mathematics and Computer Science)
H.W. van Zeijl – Mentor (TU Delft - Electronic Components, Technology and Materials)
Williem van Driel – Graduation committee member (TU Delft - Electronic Components, Technology and Materials)
Sorin Cotofana – Graduation committee member (TU Delft - Computer Engineering)
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Abstract
The current COVID-19 pandemic shows the necessity of personal protective equipment and face masks. In the project, a filter module with an in-situ ultraviolet-sterilization technique is designed that can serve as a new kind of smart personal protective equipment (SPPE). This technique is not used in wearable devices as of yet. The project thus aims to take the next step into the future of facemasks. The complete SPPE design is split into three submodules. In this thesis, the Sensing and Control submodule is designed. The Sensing and Control submodule is divided into three parts as well. In the first part of the design, a negative feedback control loop is developed. A photodiode transimpedance amplifier circuit provides the feedback, and the controller is programmed on a microcontroller. The control parameters are derived from a model in Simulink. In the second part of the design, the temperature and relative humidity are measured to transform the control loop’s reference value into a reference function. In the third part of the design, an estimation of the filter state of health is made by measuring the pressure drop over the filter material. Additionally, the airflow in the SPPE is calculated using equations from fluid mechanics to set the maximum allowable pressure drop. At the end of the thesis, the Sensing and Control submodule allows the SPPE to measure environmental conditions, control the ultraviolet intensity accordingly, and indicate if the filter requires replacement. The design is finalized with printed circuit board designs and an algorithm. With the design of the Sensing and Control submodule, the next step is taken towards the future of face masks.