| Duty: | Assistant of Departmental Lab Center |
| Email： | guanren@ncepu.edu.cn |
| Department： | Department of Computer Science, North China Electric Power University |
| Major Area of Study： | Electrical Engineering and Automation |
| Title of Award: | Bachelor of Engineering |
| Minor Area(s) of Study: | Sensor network, Software-Hardware programme, Embedded system |
Guan Ren is a passionate and hands-on student majoring in Electrical Engineering and Automation (Innovation Program) at North China Electric Power University.
During his undergraduate studies, he has participated in multiple projects focused on power grid monitoring and smart hardware development, such as ground vibration detection and warning systems, partial discharge and grounding fault detectors, and digital switchgear terminal platforms. These experiences have equipped him with solid foundations in electrical engineering, embedded systems, and IoT device design.
He is particularly interested in integrating electrical engineering with computing technologies to develop intelligent, reliable, and energy-efficient monitoring solutions for power systems. With a strong belief in interdisciplinary innovation, he aims to apply engineering knowledge to real-world challenges and contribute to the advancement of smart energy systems.
Selected Awards
- University Scholarship (2023-2024)
- National Undergraduate Electronics Design Contest – Ti Cup (Second Prize in the National Championship, August 2023)
- The second prize of the 14th National College Student Mathematics Competition in Hebei Division
- The 14th “Challenge Cup” Hebei Provincial College Student Entrepreneurship Plan Competition Provincial Special Award
Some Products made by me
Ground excavation vibration detection and alarming system for electrical equipment
Detect whether there is possible damage to the equipment due to construction or abnormal excavation activities during the operation of power equipment ⁃ The project aims to detect ground vibration signals to predict and warn in real time that power equipment (such as large transformers) may be affected by construction or abnormal excavation activities Damage. The system functions include vibration signal detection, abnormal vibration SMS alarm, remote configuration of the cloud monitoring system, and device status viewing. The technical difficulties of the project included low power consumption Control, signal filtering, and communication reliability ⁃ Low-power programming, web development, backend development, Tencent geolocation service, Alibaba Cloud SMS service, EMQX
Partial discharge and ground fault detection device
Detection and alarm of abnormal states during power system operation ⁃ The project aims to analyze the current operating status of the power system by monitoring the electrical parameters of the transmission lines of the power system, and quickly find out the faults including partial discharge and grounding abnormal conditions such as faults and overcurrent detection. The difficulties of the project include the detection and data processing of partial discharge signals, and the realization of modulation of optical fiber communication signals. ⁃ Embedded system programming, hardware debugging, 485 protocol
Digital switchgear terminal system design
Detection and alarm of abnormal states during power system operation ⁃ The project aims to analyze the current operating status of the power system by monitoring the electrical parameters of the transmission lines of the power system, and quickly find out the faults including partial discharge and grounding abnormal conditions such as faults and overcurrent detection. The difficulties of the project include the detection and data processing of partial discharge signals, and the realization of modulation of optical fiber communication signals. ⁃ Embedded system programming, hardware debugging, 485 protocol.
Recent works
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Design and implementation of multi-channel signal high-frequency synchronous sampling system for traveling wave fault location
Authors Ren Guan Affiliations Abstract: This project is designed and implemented based on the field programmable gate array (FPGA) and an embedded data acquisition system for traveling wave fault detection. The entire sampling system is divided into hardware and software parts. The hardware part is based on the Xilinx XC7Z020CLG400…