With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis o...With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.展开更多
The meteorological big data in Beijing area are typical multi-dimensional big data containing spatiotemporal characteristics,which have important research value for researches related to urban human settlement environ...The meteorological big data in Beijing area are typical multi-dimensional big data containing spatiotemporal characteristics,which have important research value for researches related to urban human settlement environment.With the help of computer programming and software processing,big data crawling,integration,extraction and multi-dimensional information fusion can be realized quickly and effectively,so as to obtain the data set needed for research and realize the target of visualization.Through big data analysis of wind environment,thermal environment and total atmospheric suspended particulate pollutants in Beijing area,it was found that the average wind speed in Beijing area decreased signifi cantly in recent 40 years,while the surface temperature increased signifi cantly;urban heat island effect was signifi cant,and the phenomenon of atmospheric suspended particulate pollution was relatively common.The spatial distribution of the three climatic and environmental data was not balanced and had signifi cant regularity and correlation.Improving urban ventilation corridors and improving urban ventilation capacity is a feasible way to improve urban heat island effect and reduce urban climate issues such as atmospheric particulate pollution.展开更多
The progress of science and technology has promoted the process of agricultural mechanization. As one of the traditional basic industries and pillar industries in our country, agriculture is closely related to the pro...The progress of science and technology has promoted the process of agricultural mechanization. As one of the traditional basic industries and pillar industries in our country, agriculture is closely related to the production, life and social stability of our people. In order to improve the level of China's agricultural mechanization more effectively and achieve better and faster development, the combination of big data technology and agricultural mechanization production and processing is implemented. In this paper, the characteristics of big data technology are analyzed at first, then the problems in the combination of big data technology and agricultural mechanization production and processing are explained, the application examples of big data technology in agricultural mechanization production and processing are given, and finally the development prospect of the application of big data technology in agricultural mechanization production and processing is prospected.展开更多
With the advent of the big data era,real-time data analysis and decision-support systems have been recognized as essential tools for enhancing enterprise competitiveness and optimizing the decision-making process.This...With the advent of the big data era,real-time data analysis and decision-support systems have been recognized as essential tools for enhancing enterprise competitiveness and optimizing the decision-making process.This study aims to explore the development strategies of real-time data analysis and decision-support systems,and analyze their application status and future development trends in various industries.The article first reviews the basic concepts and importance of real-time data analysis and decision-support systems,and then discusses in detail the key technical aspects such as system architecture,data collection and processing,analysis methods,and visualization techniques.展开更多
This paper analyzes the advantages of legal digital currencies and explores their impact on bank big data practices.By combining bank big data collection and processing,it clarifies that legal digital currencies can e...This paper analyzes the advantages of legal digital currencies and explores their impact on bank big data practices.By combining bank big data collection and processing,it clarifies that legal digital currencies can enhance the efficiency of bank data processing,enrich data types,and strengthen data analysis and application capabilities.In response to future development needs,it is necessary to strengthen data collection management,enhance data processing capabilities,innovate big data application models,and provide references for bank big data practices,promoting the transformation and upgrading of the banking industry in the context of legal digital currencies.展开更多
The paper utilized a standardized methodology to identify prognostic biomarkers in hepatocellular carcinoma(HCC)by analyzing transcriptomic and clinical data from The Cancer Genome Atlas(TCGA)database.The approach,whi...The paper utilized a standardized methodology to identify prognostic biomarkers in hepatocellular carcinoma(HCC)by analyzing transcriptomic and clinical data from The Cancer Genome Atlas(TCGA)database.The approach,which included stringent data preprocessing,differential gene expression analysis,and Kaplan-Meier survival analysis,provided valuable insights into the genetic underpinnings of HCC.The comprehensive analysis of a dataset involving 370 HCC patients uncovered correlations between survival status and pathological characteristics,including tumor size,lymph node involvement,and distant metastasis.The processed transcriptome dataset,comprising 420 samples and annotating 26,783 genes,served as a robust platform for identifying differential gene expression patterns.Among the significant differential expression genes,the key genes such as FBXO43,HAGLROS,CRISPLD1,LRRC3.DT,and ERN2,were pinpointed,which showed significant associations with patient survival outcomes,indicating their potential as novel prognostic biomarkers.This study can not only enhance the understanding of HCC’s genetic landscape but also establish a blueprint for a standardized process to discover prognostic biomarkers of various diseases using genetic big data.Future research should focus on validating these biomarkers through independent cohorts and exploring their utility in the development of personalized treatment strategies.展开更多
This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technol...This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technology,focusing on analyzing the current application status of computer science and technology in big data,including data storage,data processing,and data analysis.Then,it proposes development strategies for big data processing.Computer science and technology play a vital role in big data processing by providing strong technical support.展开更多
Water quality monitoring is a process of evaluating water quality, including monitoring and measuring the trend, concentration and water body change of various pollutants. The organization and implementation of import...Water quality monitoring is a process of evaluating water quality, including monitoring and measuring the trend, concentration and water body change of various pollutants. The organization and implementation of important water quality monitoring will provide representative, accurate, comparable and complete data for governments at all levels, timely feedback the monitoring results to relevant ministries and commissions, and provide scientific and theoretical basis for governments at all levels to make water pollution prevention and control decisions.展开更多
With the rapid development of China’s society and economy,the process of urbanization has been accelerated,and the transportation system has become more complicated,especially the frequent occurrence of traffic accid...With the rapid development of China’s society and economy,the process of urbanization has been accelerated,and the transportation system has become more complicated,especially the frequent occurrence of traffic accidents,traffic congestions,and environmental pollution.In the context of the rapid development of Internet technology,digital technology,artificial intelligence technology,etc.We apply them to traffic management as effective ways to improve China’s traffic operation management.Based on big data processing technology,this paper discusses its application strategy in intelligent transportation,in hope of serving as a reference.展开更多
In all walks of life in the Internet age, with the popularization and penetration of information technology, various network security problems emerge one after another. In order to give full play to the advantages of ...In all walks of life in the Internet age, with the popularization and penetration of information technology, various network security problems emerge one after another. In order to give full play to the advantages of big data and promote its further application, it is necessary to establish a network security platform on the basis of ensuring the security of big data technology, so as to improve the work efficiency of big data network security analysis. This paper firstly analyzes the advantages of big data technology in network security, then puts forward the application of big data technology in network security analysis, and finally discusses the establishment of network security platform of big data technology.展开更多
Frequent extreme heat events around the world not only pose a major threat to human health but also cause significant economic losses to the livestock industry.The existing management practices are insufficient to ful...Frequent extreme heat events around the world not only pose a major threat to human health but also cause significant economic losses to the livestock industry.The existing management practices are insufficient to fully prevent heat stress with an urgent need to develop preventive medicines.The aim of this study was to develop an antiheat stress Chinese herbal formula(CHF)via big data analysis techniques and to evaluate its anti-heat stress effect and mechanism of action via pharmacodynamic evaluation and network pharmacology analysis.Many anti-heat stress CHFs were collected from the Chinese National Knowledge Infrastructure(CNKI)database.Three alternative CHFs were obtained via unsupervised entropy hierarchical clustering analysis,and the most effective CHF against heat stress,Shidi Jieshu decoction(SJD),was obtained by screening in a mouse heat stress model.In dry and hot environments,SJD significantly improved the heat tolerance of AA broilers by 4-6℃.In a humid and hot environment,pretreatment with 2%SJD resulted in 100%survival of Wenchang chickens at high temperatures.The main active ingredients of SJD were identified as muntjacoside E,timosaponin C,macrostemonoside H and mangiferin via ultraperformance liquid chromatography/mass spectrometry(UPLC/MS)and database comparison.The active ingredients of SJD were found to target tumor necrosis factor-α(TNF-α),signal transducer activator of transcription 3(STAT3)and epidermal growth factor receptor(EGFR).Finally,the safety of the new formulation was assessed in an acute oral toxicity study in rats.The SJDs developed in this study provide a new option for the prevention of heat stress in animal husbandry and offer new insights for further research on anti-heat stress.展开更多
The year of 2011 is considered the first year of big data market in China.Compared with the global scale,China's big data growth will be faster than the global average growth rate,and China will usher in the rapid...The year of 2011 is considered the first year of big data market in China.Compared with the global scale,China's big data growth will be faster than the global average growth rate,and China will usher in the rapid expansion of big data market in the next few years.This paper presents the overall big data development in China in terms of market scale and development stages,enterprise development in the industry chain,the technology standards,and industrial applications.The paper points out the issues and challenges facing big data development in China and proposes to make polices and create support approaches for big data transactions and personal privacy protection.展开更多
This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramaticall...This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramatically throughout the years,providing the groundwork for the rise of AI.AI systems have achieved incredible feats in various disciplines thanks to advancements in computer power,data availability,and complex algorithms.On the other hand,society’s needs for efficiency,enhanced healthcare,environmental sustainability,and personalized experiences have worked as powerful accelerators for AI’s progress.This article digs into how technology empowers AI and how societal needs dictate its progress,emphasizing their symbiotic relationship.The findings underline the significance of responsible AI research,which considers both technological prowess and ethical issues,to ensure that AI continues to serve the greater good.展开更多
How organizations analyze and use data for decision-making has been changed by cognitive computing and artificial intelligence (AI). Cognitive computing solutions can translate enormous amounts of data into valuable i...How organizations analyze and use data for decision-making has been changed by cognitive computing and artificial intelligence (AI). Cognitive computing solutions can translate enormous amounts of data into valuable insights by utilizing the power of cutting-edge algorithms and machine learning, empowering enterprises to make deft decisions quickly and efficiently. This article explores the idea of cognitive computing and AI in decision-making, emphasizing its function in converting unvalued data into valuable knowledge. It details the advantages of utilizing these technologies, such as greater productivity, accuracy, and efficiency. Businesses may use cognitive computing and AI to their advantage to obtain a competitive edge in today’s data-driven world by knowing their capabilities and possibilities [1].展开更多
The big data cloud computing is a new computing mode,which integrates the distributed processing,the parallel processing,the network computing,the virtualization technology,the load balancing and other network technol...The big data cloud computing is a new computing mode,which integrates the distributed processing,the parallel processing,the network computing,the virtualization technology,the load balancing and other network technologies.Under the operation of the big data cloud computing system,the computing resources can be distributed in a resource pool composed of a large number of the computers,allowing users to connect with the remote computer systems according to their own data information needs.展开更多
In this paper, we conduct research on the database technology under the basic operation of the IOT huge amounts of data. Spatial data service is the process of basic customer application system service request, direct...In this paper, we conduct research on the database technology under the basic operation of the IOT huge amounts of data. Spatial data service is the process of basic customer application system service request, directory service system according to the request is mapped into physical addresses, according to the data block physical disk server address block of data read from the disk in parallel and sent to the client the process of application system. In addition, spatial data distribution system should possess unloading, transfer, replication, and optimization of spatial data, and other functions, to achieve comprehensive management and maintenance of spatial data. Under this basis, we propose the enhanced database technology that optimizes the operation with better performance.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
文摘With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.
基金Sponsored by National Natural Science Foundation of China(51708004)YuYou Talent Training Program of North University of Technology(215051360020XN160/009)+1 种基金General Program of Beijing Natural Science Foundation(8202017)2018 Beijing Municipal University Academic Human Resources Development:Youth Talent Support Program(PXM2018-014212-000043).
文摘The meteorological big data in Beijing area are typical multi-dimensional big data containing spatiotemporal characteristics,which have important research value for researches related to urban human settlement environment.With the help of computer programming and software processing,big data crawling,integration,extraction and multi-dimensional information fusion can be realized quickly and effectively,so as to obtain the data set needed for research and realize the target of visualization.Through big data analysis of wind environment,thermal environment and total atmospheric suspended particulate pollutants in Beijing area,it was found that the average wind speed in Beijing area decreased signifi cantly in recent 40 years,while the surface temperature increased signifi cantly;urban heat island effect was signifi cant,and the phenomenon of atmospheric suspended particulate pollution was relatively common.The spatial distribution of the three climatic and environmental data was not balanced and had signifi cant regularity and correlation.Improving urban ventilation corridors and improving urban ventilation capacity is a feasible way to improve urban heat island effect and reduce urban climate issues such as atmospheric particulate pollution.
文摘The progress of science and technology has promoted the process of agricultural mechanization. As one of the traditional basic industries and pillar industries in our country, agriculture is closely related to the production, life and social stability of our people. In order to improve the level of China's agricultural mechanization more effectively and achieve better and faster development, the combination of big data technology and agricultural mechanization production and processing is implemented. In this paper, the characteristics of big data technology are analyzed at first, then the problems in the combination of big data technology and agricultural mechanization production and processing are explained, the application examples of big data technology in agricultural mechanization production and processing are given, and finally the development prospect of the application of big data technology in agricultural mechanization production and processing is prospected.
文摘With the advent of the big data era,real-time data analysis and decision-support systems have been recognized as essential tools for enhancing enterprise competitiveness and optimizing the decision-making process.This study aims to explore the development strategies of real-time data analysis and decision-support systems,and analyze their application status and future development trends in various industries.The article first reviews the basic concepts and importance of real-time data analysis and decision-support systems,and then discusses in detail the key technical aspects such as system architecture,data collection and processing,analysis methods,and visualization techniques.
文摘This paper analyzes the advantages of legal digital currencies and explores their impact on bank big data practices.By combining bank big data collection and processing,it clarifies that legal digital currencies can enhance the efficiency of bank data processing,enrich data types,and strengthen data analysis and application capabilities.In response to future development needs,it is necessary to strengthen data collection management,enhance data processing capabilities,innovate big data application models,and provide references for bank big data practices,promoting the transformation and upgrading of the banking industry in the context of legal digital currencies.
基金the 2023 Inner Mongolia Public Institution High-Level Talent Introduction Scientific Research Support Project with the start-up funding from Linyi Vocational College。
文摘The paper utilized a standardized methodology to identify prognostic biomarkers in hepatocellular carcinoma(HCC)by analyzing transcriptomic and clinical data from The Cancer Genome Atlas(TCGA)database.The approach,which included stringent data preprocessing,differential gene expression analysis,and Kaplan-Meier survival analysis,provided valuable insights into the genetic underpinnings of HCC.The comprehensive analysis of a dataset involving 370 HCC patients uncovered correlations between survival status and pathological characteristics,including tumor size,lymph node involvement,and distant metastasis.The processed transcriptome dataset,comprising 420 samples and annotating 26,783 genes,served as a robust platform for identifying differential gene expression patterns.Among the significant differential expression genes,the key genes such as FBXO43,HAGLROS,CRISPLD1,LRRC3.DT,and ERN2,were pinpointed,which showed significant associations with patient survival outcomes,indicating their potential as novel prognostic biomarkers.This study can not only enhance the understanding of HCC’s genetic landscape but also establish a blueprint for a standardized process to discover prognostic biomarkers of various diseases using genetic big data.Future research should focus on validating these biomarkers through independent cohorts and exploring their utility in the development of personalized treatment strategies.
文摘This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technology,focusing on analyzing the current application status of computer science and technology in big data,including data storage,data processing,and data analysis.Then,it proposes development strategies for big data processing.Computer science and technology play a vital role in big data processing by providing strong technical support.
文摘Water quality monitoring is a process of evaluating water quality, including monitoring and measuring the trend, concentration and water body change of various pollutants. The organization and implementation of important water quality monitoring will provide representative, accurate, comparable and complete data for governments at all levels, timely feedback the monitoring results to relevant ministries and commissions, and provide scientific and theoretical basis for governments at all levels to make water pollution prevention and control decisions.
文摘With the rapid development of China’s society and economy,the process of urbanization has been accelerated,and the transportation system has become more complicated,especially the frequent occurrence of traffic accidents,traffic congestions,and environmental pollution.In the context of the rapid development of Internet technology,digital technology,artificial intelligence technology,etc.We apply them to traffic management as effective ways to improve China’s traffic operation management.Based on big data processing technology,this paper discusses its application strategy in intelligent transportation,in hope of serving as a reference.
文摘In all walks of life in the Internet age, with the popularization and penetration of information technology, various network security problems emerge one after another. In order to give full play to the advantages of big data and promote its further application, it is necessary to establish a network security platform on the basis of ensuring the security of big data technology, so as to improve the work efficiency of big data network security analysis. This paper firstly analyzes the advantages of big data technology in network security, then puts forward the application of big data technology in network security analysis, and finally discusses the establishment of network security platform of big data technology.
基金supported by the Major Special Science and Technology Plan(202302AA310020)the National Natural Science Foundation of China(NSFC)(32072925,32473087)the National Student Innovation and Entrepreneurship Training Program of Huazhong Agricultural University(202310504018)。
文摘Frequent extreme heat events around the world not only pose a major threat to human health but also cause significant economic losses to the livestock industry.The existing management practices are insufficient to fully prevent heat stress with an urgent need to develop preventive medicines.The aim of this study was to develop an antiheat stress Chinese herbal formula(CHF)via big data analysis techniques and to evaluate its anti-heat stress effect and mechanism of action via pharmacodynamic evaluation and network pharmacology analysis.Many anti-heat stress CHFs were collected from the Chinese National Knowledge Infrastructure(CNKI)database.Three alternative CHFs were obtained via unsupervised entropy hierarchical clustering analysis,and the most effective CHF against heat stress,Shidi Jieshu decoction(SJD),was obtained by screening in a mouse heat stress model.In dry and hot environments,SJD significantly improved the heat tolerance of AA broilers by 4-6℃.In a humid and hot environment,pretreatment with 2%SJD resulted in 100%survival of Wenchang chickens at high temperatures.The main active ingredients of SJD were identified as muntjacoside E,timosaponin C,macrostemonoside H and mangiferin via ultraperformance liquid chromatography/mass spectrometry(UPLC/MS)and database comparison.The active ingredients of SJD were found to target tumor necrosis factor-α(TNF-α),signal transducer activator of transcription 3(STAT3)and epidermal growth factor receptor(EGFR).Finally,the safety of the new formulation was assessed in an acute oral toxicity study in rats.The SJDs developed in this study provide a new option for the prevention of heat stress in animal husbandry and offer new insights for further research on anti-heat stress.
文摘The year of 2011 is considered the first year of big data market in China.Compared with the global scale,China's big data growth will be faster than the global average growth rate,and China will usher in the rapid expansion of big data market in the next few years.This paper presents the overall big data development in China in terms of market scale and development stages,enterprise development in the industry chain,the technology standards,and industrial applications.The paper points out the issues and challenges facing big data development in China and proposes to make polices and create support approaches for big data transactions and personal privacy protection.
文摘This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramatically throughout the years,providing the groundwork for the rise of AI.AI systems have achieved incredible feats in various disciplines thanks to advancements in computer power,data availability,and complex algorithms.On the other hand,society’s needs for efficiency,enhanced healthcare,environmental sustainability,and personalized experiences have worked as powerful accelerators for AI’s progress.This article digs into how technology empowers AI and how societal needs dictate its progress,emphasizing their symbiotic relationship.The findings underline the significance of responsible AI research,which considers both technological prowess and ethical issues,to ensure that AI continues to serve the greater good.
文摘How organizations analyze and use data for decision-making has been changed by cognitive computing and artificial intelligence (AI). Cognitive computing solutions can translate enormous amounts of data into valuable insights by utilizing the power of cutting-edge algorithms and machine learning, empowering enterprises to make deft decisions quickly and efficiently. This article explores the idea of cognitive computing and AI in decision-making, emphasizing its function in converting unvalued data into valuable knowledge. It details the advantages of utilizing these technologies, such as greater productivity, accuracy, and efficiency. Businesses may use cognitive computing and AI to their advantage to obtain a competitive edge in today’s data-driven world by knowing their capabilities and possibilities [1].
文摘The big data cloud computing is a new computing mode,which integrates the distributed processing,the parallel processing,the network computing,the virtualization technology,the load balancing and other network technologies.Under the operation of the big data cloud computing system,the computing resources can be distributed in a resource pool composed of a large number of the computers,allowing users to connect with the remote computer systems according to their own data information needs.
文摘In this paper, we conduct research on the database technology under the basic operation of the IOT huge amounts of data. Spatial data service is the process of basic customer application system service request, directory service system according to the request is mapped into physical addresses, according to the data block physical disk server address block of data read from the disk in parallel and sent to the client the process of application system. In addition, spatial data distribution system should possess unloading, transfer, replication, and optimization of spatial data, and other functions, to achieve comprehensive management and maintenance of spatial data. Under this basis, we propose the enhanced database technology that optimizes the operation with better performance.
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.
