Intelligent Measurement and Control System and Its Application (智能测控系统及应用)
Submission Deadline: 2025/5/31
Chair: 
Zhengfang Wang, Shandong University, China
Co-chairs: 
Jing Wang, Shandong University, China 
Shuhua Gao, Shandong University, China
Keywords: | Topics: |
· Non-destructive Detection (无损检测) · Intelligence Sensors (智能传感器) · Robotic Inspection Systems (机器人检测系统) · Artificial Intelligence (人工智能) · Intelligent Control (智能控制) | · Non-destructive Detection Technologies: Ground Penetrating Radar, Ultrasonic Detection, etc. (无损检测技术：探地雷达、超声波检测等) · Sensors Technology (传感技术) · Structural Health Monitoring (结构健康监测) · Robotic/Automatic Inspection Systems (机器人/自动化检测系统) · Intelligent Control System (智能控制系统) · AI-based Data Analysis and Diagnosis (基于人工智能的数据分析与诊断) |
Summary:
· Advanced sensor technology, robotic inspection techniques, and artificial intelligence algorithms are gradually being integrated into detection technology, injecting new momentum into the field of intelligent sensors and detection technology. Intelligent detection involves the utilization of advanced measurement techniques and artificial intelligence algorithms to gain deeper insights from sensor data. In recent years, remarkable progress has been made in intelligent detection technologies, particularly in the areas of advanced nondestructive detection, structural health monitoring, and data analysis based on deep learning algorithms. Intelligent detection technology has been successfully applied in many fields, such as aerospace, remote sensing, transportation, and infrastructure engineering.
This Special Issue aims to facilitate the sharing of the latest research results in the field of intelligent detection technology and its applications. Prospective authors are strongly encouraged to submit distinguished research papers that explore both theoretical approaches and practical case reviews within this subject area.
· 先进的传感器技术、机器人检测技术和人工智能算法正逐步融入检测技术体系，推动了智能传感与检测技术领域的进步。智能传感利用先进的测量技术和人工智能算法，从传感器数据中挖掘更丰富的特征信息。近年来，智能检测技术快速发展，特别是在先进的无损检测、结构健康监测和基于深度学习算法的数据分析方面取得了显著进展，并广泛应用于航空航天、遥感测绘、交通运输、基础设施工程等多个领域。
该专题促进智能检测技术领域最新研究成果的交流共享及其实际应用的深度探讨。诚邀相关学者共享该领域的新理论、新方法、新技术及其实践应用案例，共同推动其技术突破与知识传播。