An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing...An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing and analysis framework based on the ROOT system have been completed. Software for unfolding soft X-ray spectra has been developed to test the functions of this framework.展开更多
Structural health monitoring is essential to ensure the safe operation of infrastructure such as construction machinery andbridges, which can effectively prevent accidents, extend service life, and reduce maintenance ...Structural health monitoring is essential to ensure the safe operation of infrastructure such as construction machinery andbridges, which can effectively prevent accidents, extend service life, and reduce maintenance costs. However, traditional inspectionmethods mainly rely on manual visual inspection, which has limitations such as low efficiency, high cost, and highrisk, making it difficult to meet the demand for efficient and accurate inspection in modern engineering. As an emergingtechnology, intelligent inspection robots provide a new solution for structural health monitoring by virtue of their autonomy,flexibility, and efficiency. This paper systematically reviews the technical characteristics of intelligent detection robots instructural health monitoring and their applications in different scenarios, with a focus on analyzing their performance in actualdetection. At the same time, it summarizes their application progress in sensor technology, fault data processing and analysismethods, and fault localization technology, highlighting their ability to achieve efficient data acquisition, accurate defectidentification, and real-time health assessment in complex environments. In addition, the main technical challenges faced bycurrent inspection robots are summarized, such as stability in complex environments, data processing capability, and autonomousdecision-making level. Finally, the future development direction of inspection robots is outlooked, which mainly focuseson the deep integration of artificial intelligence and machine learning, the optimization of multi-robot collaborative technology,and the improvement of lightweight and energy efficiency. Through this review, we aim to provide theoretical support andpractical reference for further research and application of intelligent inspection robots in the field of structural healthmonitoring.展开更多
基金This project supported by the National High-Tech Research and Development Plan (863-804-3)
文摘An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing and analysis framework based on the ROOT system have been completed. Software for unfolding soft X-ray spectra has been developed to test the functions of this framework.
基金supported by the National Key Research and Development Program of China(Grant 2023YFB3408502)National Natural Science Foundation of China(Grants 52475114,52175107,52275119)+1 种基金“Unveiling and Leading”Special Science and Technology Research Project of Liaoning Province(Grants 2022JH1/10400028,2023JH1/10400043)“Unveiling and Leading”Industrial Common Technology Project of Shenyang(Grant 22–316-1–17).
文摘Structural health monitoring is essential to ensure the safe operation of infrastructure such as construction machinery andbridges, which can effectively prevent accidents, extend service life, and reduce maintenance costs. However, traditional inspectionmethods mainly rely on manual visual inspection, which has limitations such as low efficiency, high cost, and highrisk, making it difficult to meet the demand for efficient and accurate inspection in modern engineering. As an emergingtechnology, intelligent inspection robots provide a new solution for structural health monitoring by virtue of their autonomy,flexibility, and efficiency. This paper systematically reviews the technical characteristics of intelligent detection robots instructural health monitoring and their applications in different scenarios, with a focus on analyzing their performance in actualdetection. At the same time, it summarizes their application progress in sensor technology, fault data processing and analysismethods, and fault localization technology, highlighting their ability to achieve efficient data acquisition, accurate defectidentification, and real-time health assessment in complex environments. In addition, the main technical challenges faced bycurrent inspection robots are summarized, such as stability in complex environments, data processing capability, and autonomousdecision-making level. Finally, the future development direction of inspection robots is outlooked, which mainly focuseson the deep integration of artificial intelligence and machine learning, the optimization of multi-robot collaborative technology,and the improvement of lightweight and energy efficiency. Through this review, we aim to provide theoretical support andpractical reference for further research and application of intelligent inspection robots in the field of structural healthmonitoring.
