We combine radio frequency identification (RFID) and the Quantum Geographic Information System (QGIS) to develop a positioning and warning system for powered wheelchairs rented for activities within a specific area. First, we begin with the use of Arduino to drive ultrahighfrequency (UHF) RFID to read an Electronic Product Code (EPC) tag and take the information of the tag to design an area boundary detection warning function for powered wheelchairs in use. Because the Global Positioning System (GPS) takes more time to start and is greatly affected by the weather and location, we use the relative position of the powered wheelchair to design the positioning system instead of the GPS chip positioning system. By combining the coordinate map of the active area designed by Python and the QGIS, the current position of the wheelchair relative to the point where it was rented is calculated. Finally, the Arduino and QGIS programs are integrated through Python to establish the positioning coordinate system of the powered wheelchair with RFID identification.

We used SOLIDWORKS and ANSYS as research tools. (6,7) Firstly, SOLIDWORKS 3D software was used to draw the individual parts of the mechanism in the proposed design. These drawings were combined, the combined parts were formed, the structures of the combined parts were analyzed with ANSYS, and the results obtained were used to verify the proposed design. SOLIDWORKS software can be easily operated and used to design any mechanism, and the design files can be quickly converted into 2D engineering drawings. The software also includes design application modules for sheet metal, welding, molding, and curved surfaces to help designers more quickly develop high-quality products. The C package of ANSYS allows designers to quickly solve complex structural engineering problems, provides them with good and clear design decisions, and reduces the cost of physical tests. With the help of the finite element analysis tool in the package, parametric simulation can be carried out to analyze various design schemes, and other physical analysis tools can be easily connected to improve the reliability and accuracy of the results. Common applications of the ANSYS structural analysis package include strength analysis, vibration analysis, fluid dynamics analysis, and collision analysis.

The aim of this study is to use the Internet of Things (IoT) for data monitoring of powered wheelchairs, which is divided into monitoring the position, tire wear, and battery charge level. Our system can be divided into two parts: Arduino UNO (an open-source microcontroller board; the word "uno" means "one" in Italian) and Raspberry Pi. Arduino UNO combines radio frequency identification (RFID) to read Electronic Product Code (EPC) tag information to establish the position information of powered wheelchairs. Raspberry Pi, through cooperation with the Quantum Geographic Information System (QGIS), establishes a coordinate activity map and monitors the tire wear of the powered wheelchair at any time, and uses a DC100 V LED dual display digital voltage meter head and external shunt to detect the lead-acid battery charge level of the powered wheelchair. Finally, a Microsoft Excel macro and Excel Visual Basic for Applications (VBA) are used to integrate the EPC tag information, tire wear, and lead-acid battery power consumption data and display them as real-time dynamic charts. The user can know the status of the wheelchair at any time, the user's family can also know the operation status of an elderly user or one with limited mobility, and the user is informed in advance when the wheelchair needs to be adjusted.