同步采集空气剂量率和测量位置的测量装置

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION ROBOMECH Journal Pub Date : 2024-09-04 DOI:10.1186/s40648-024-00279-x
Kuniaki Kawabata, Takashi Imabuchi, Norihito Shirasaki, Soichiro Suzuki, Rintaro Ito, Yuto Aoki, Takazumi Omori
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引用次数: 0

摘要

本文介绍了一种同步采集空气剂量率和测量位置的测量装置,用于高效的剂量测定测量和数据记录。开发的原型包括基于三维光探测和测距的绘图部分和剂量测定部分,这两个部分通过安装了 ROS(机器人操作系统)框架的嵌入式计算机集成到一个测量单元中。该装置可作为带嵌入式电池的独立系统运行。由于它是便携式的,因此可以在工作区实现在线数据采集,从而保持空气剂量率和测量位置之间的一致性。本文介绍了测量单元的功能要求、原型系统配置,以及在模拟环境和核设施中获得的实验结果,以讨论其性能。
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Measuring unit for synchronously collecting air dose rate and measurement position
This paper describes a measuring unit for synchronously collecting the air dose rate and measurement position for efficient dosimetry surveying and data logging. The developed prototype comprises a three-dimensional light detection and ranging-based mapping part and dosimetry part, which are integrated into a single measuring unit through an embedded computer that installs a ROS (robot operating system) framework. The unit can function as a standalone system with embedded batteries. Since it is portable, on-line data gathering in the workspace can be realized, thereby maintaining consistency between the air dose rate and measurement position. In this paper, we describe the functional requirements for the measuring unit, the prototype system configuration, and the experimental results obtained in the mockup environment and nuclear facility to discuss its performance.
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来源期刊
ROBOMECH Journal
ROBOMECH Journal Mathematics-Control and Optimization
CiteScore
3.20
自引率
7.10%
发文量
21
审稿时长
13 weeks
期刊介绍: ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics. This field is driven by the steadily growing research, development and consumer demand for robots and systems. Advanced robots have been working in medical and hazardous environments, such as space and the deep sea as well as in the manufacturing environment. The scope of the journal includes but is not limited to: 1. Modeling and design 2. System integration 3. Actuators and sensors 4. Intelligent control 5. Artificial intelligence 6. Machine learning 7. Robotics 8. Manufacturing 9. Motion control 10. Vibration and noise control 11. Micro/nano devices and optoelectronics systems 12. Automotive systems 13. Applications for extreme and/or hazardous environments 14. Other applications
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