Development of a Vertical Acceleration Sensor Based on Embedded Systems
DOI:
https://doi.org/10.54691/846cqn63Keywords:
Embedded System; Sensor Design; Vertical Acceleration.Abstract
This paper analyzes the acceleration detection requirements of the traveling block system and proposes an acceleration detection scheme using the traveling block as the target. An implementation plan based on the STM32 microcontroller and RS485 wired communication was developed. The hardware circuit and PCB design were carried out using components such as the STM32 microcontroller and MPU6050 gyroscope chip. Data acquisition and display were achieved through SPI and I2C communication implemented in software, while data was transmitted via wired communication using hardware UART peripherals. An experimental platform was built to test acceleration detection and wired data transmission. Compared with other design schemes, this design fully considers the impact of attitude changes on vertical acceleration detection, optimizing the sensor's detection algorithm and hardware design. It provides a technically valuable reference for engineering applications in related fields.
Downloads
References
[1] Guan, Zhichuan, et al. "Drilling Rigs and Tools." Theory and Technology of Drilling Engineering (2021): 59-172.
[2] He, Junjiang, and Min Luo. "Drilling Rig Hoisting Platform Security Monitoring System Design and Application." Machines 5.3 (2017): 19.
[3] Furthermore, by combining the rapid response capabilities of embedded systems with high-precision signal processing technology, real-time monitoring and intelligent control of the traveling block's motion state can be achieved.
[4] Clark, Lawrence T., et al. "An embedded 32-b microprocessor core for low-power and high-performance applications." IEEE Journal of solid-state circuits 36.11 (2001): 1599-1608.
[5] García, Gabriel J., et al. "A survey on FPGA-based sensor systems: towards intelligent and reconfigurable low-power sensors for computer vision, control and signal processing." Sensors 14.4 (2014): 6247-6278.
[6] Sun, Shizheng, et al. "A High-precision 3D Vibration Acceleration Sensor Based On FBGs." IEEE Sensors Journal (2024).
[7] Koo, Gunhee, et al. "Development of a high precision displacement measurement system by fusing a low cost RTK-GPS sensor and a force feedback accelerometer for infrastructure monitoring." Sensors 17.12 (2017): 2745.
[8] Testoni, Nicola, et al. "A Sensor Network with Embedded Data Processing and Data‐to‐Cloud Capabilities for Vibration‐Based Real‐Time SHM." Journal of Sensors 2018.1 (2018): 2107679.
[9] Ledin, Jim. Architecting High-Performance Embedded Systems: Design and build high-performance real-time digital systems based on FPGAs and custom circuits. Packt Publishing Ltd, 2021.
[10] Schizas, Nikolaos, et al. "TinyML for ultra-low power AI and large scale IoT deployments: A systematic review." Future Internet 14.12 (2022): 363.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Frontiers in Science and Engineering
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
