The advancement of telemedicine technology has introduced innovative approaches to overcoming the challenges posed by uneven distribution of medical resources and the limited mobility of patients. Focusing on urodynamic study, this study presents the independent development of a remote urodynamic examination system. The device incorporates a communication framework utilizing Wi-Fi and internet technologies, enabling both remote control of the equipment and seamless data transmission. Experimental validation under remote communication conditions demonstrates that the average error in pressure measurement is below 1 cmH2O, and the error rate in peristaltic pump infusion is less than 5%, meeting the technical requirements set by the International Continence Society for urodynamic device. Furthermore, the integration of a detrusor overactivity identification model based on deep learning into the developed software establishes an intelligent auxiliary diagnostic function. The comprehensive remote UDS system developed in this study provides a practical solution to enhance patient experience and improve diagnostic efficiency for healthcare professionals. The incorporation of cutting-edge technologies, including Wi-Fi, internet communication, and deep learning, underscores the potential of this system in revolutionizing urodynamic assessments, paving the way for more accessible and efficient healthcare services.