Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2018, Vol. 29 ›› Issue (1): 4 doi: 10.1007/s41365-017-0344-2


Remote measurement of low-energy radiation based on ARM board and ZigBee wireless communication

Xu Wang 1 • Song-Ling Zhang 1 • Guo-Xiang Song 1 • De-Fei Guo 1 • Chun-Wang Ma 2 • Fang Wang 1   

  1. 1 College of Electronics and Electrical Engineering, Henan Normal University, Xinxiang 453007, China
    2 College of Physics and Materials Science, Henan Normal University, Xinxiang 453007, China
  • Contact: Chun-Wang Ma
  • Supported by:

    This work was supported by the Plan for Scientific Innovation Talent of Henan Province (No. 154100510007) and the Program for Creative Export Mental Project of National Undergraduate Students (No. CEPNU 5101022000004).

Xu Wang, Song-Ling Zhang, Guo-Xiang Song, De-Fei Guo, Chun-Wang Ma, Fang Wang. Remote measurement of low-energy radiation based on ARM board and ZigBee wireless communication.Nuclear Science and Techniques, 2018, 29(1): 4     doi: 10.1007/s41365-017-0344-2


We propose a system for remote measurement of low-energy radiation, which is implemented using an ARM board and a ZigBee module. The ARM STM32F103 board employs a horizontal and vertical moving CMOS camera for front-end data acquisition. The camera can detect radiation over different coordinates given by latitude and longitude in a determined area. For image processing, we used the subtraction–summation algorithm based on gradient multiplication and edge detection. Compared to algorithms such as the max grayscale value, subtraction–summation, and whole summation, the improved subtraction–summation algorithm filters noise and removes the background grayscale value of the whole image to attain higher accuracy, stronger anti-interference ability, and better consistency to determine the radiation dose. We dedicated one port of the transmission module to send data through the STM32F103 board, whereas another port is connected to the ZigBee module for data reception. By employing this architecture, we achieved low power consumption and fast response in the remote data transmission. Overall, the proposed system performs the remote measurement of low-energy radiation with stability and reliability, which is required for critical scenarios such as the remote detection of nuclear radiation.

Key words: CMOS image sensor, ARM board, Subtraction–summation algorithm, Gradient multiplication, Edge detection, ZigBee wireless transmission