Introduction:This study presents empirical evidence from the implementation of an automated infectious disease warning system utilizing multi-source surveillance and multi-point triggers in Yuhang District,Hangzhou Ci...Introduction:This study presents empirical evidence from the implementation of an automated infectious disease warning system utilizing multi-source surveillance and multi-point triggers in Yuhang District,Hangzhou City,Zhejiang Province,so as to provide reference for more extensive practice of infectious disease surveillance and early warning in the future.Methods:The data were obtained from the Health Emergency Intelligent Control Platform of Yuhang District from January 1 to April 30,2024,encompassing warning signal issuance and response documentation.Descriptive epidemiological method was used to analyze the early warning signals.Results:From January 1 to April 30,2024,the Health Emergency Intelligent Control Platform in Yuhang District generated 4,598 valid warning signals,with a warning signal positive rate of 36.43%.The early warning system detected 71 infectious disease outbreaks reported through the Intelligent Control Platform,including 24 single-source early warning and 47 multi-source early warning.The sensitivity was 78.02%,demonstrating improved performance compared to existing infectious disease surveillance and warning systems.Conclusions:This represents the first domestic publication evaluating an automated multi-source surveillance and multi-point trigger warning system.By integrating and correlating multi-source data,the system can efficiently and accurately detect warning signals of infectious disease incidents,which has significant practical implications for early surveillance,warning,and management of infectious diseases.展开更多
At present,debris flow warning uses precipitation threshold and issues regional warning throughout the world.Precipitation threshold warning is less accurate and in most of the time large portion of unaffected populat...At present,debris flow warning uses precipitation threshold and issues regional warning throughout the world.Precipitation threshold warning is less accurate and in most of the time large portion of unaffected population are evacuated.More precise warning should use direct monitoring.There are many debris flow monitoring stations but no real time warning system in use.The main reason is that the identification and confirmation of debris flow occurrence requires human interaction and it is too slow.A debris flow monitoring and warning system has been installed in the midstream section of Yusui Stream,Taiwan China.The monitoring station operates fully automatically,providing early warnings without the need for manual intervention.The system comprises two webcam cameras,two Micro-Electro-Mechanical Systems(MEMS),and a rain gauge.The arrival of debris flows is detected and confirmed through both webcam images and MEMS signals.Once debris flow is detected,the system automatically issues a warning to the affected areas via voice messages,line messages,broadcasts,and web-based alerts.The webcam cameras are also used to estimate debris flow velocity and flow height,while the MEMS sensors are utilized to determine the phase speed and flow rate.On July 24th,2014,Typhoon Gaemi triggered several debris flows,and the system successfully issued several warnings automatically.The entire video record,along with depth variation data,was recorded automatically.展开更多
This paper designs a set of semi-automatic intelligent cold chain cargo proximity warning system with wireless data transmission, lightweight Optical Character Recognition identification algorithm framework and electr...This paper designs a set of semi-automatic intelligent cold chain cargo proximity warning system with wireless data transmission, lightweight Optical Character Recognition identification algorithm framework and electronic label automatic warning as the core technology for cold chain dairy Fast Moving Consumer Goods contractors. In terms of hardware, Pulse Frequency Modulation modulation and demodulation are used as the main technology to realize wireless transmission and reception of equipment, and digital electronic tags are added to warn the same batch of upcoming goods. In terms of software, based on Chinese-ocr algorithm, image preprocessing and recognition methods are studied, and an early warning system is designed. So as to realize semi-automatic early warning of cold chain logistics goods.展开更多
基金Supported by the Major Science and Technology Project of the Science and Technology Department of Zhejiang Province(2021C03038,2022C03109)the Medical and Health Science and Technology Project of Zhejiang Province(2024KY895,WKJ-ZJ-2522,2025KY774).
文摘Introduction:This study presents empirical evidence from the implementation of an automated infectious disease warning system utilizing multi-source surveillance and multi-point triggers in Yuhang District,Hangzhou City,Zhejiang Province,so as to provide reference for more extensive practice of infectious disease surveillance and early warning in the future.Methods:The data were obtained from the Health Emergency Intelligent Control Platform of Yuhang District from January 1 to April 30,2024,encompassing warning signal issuance and response documentation.Descriptive epidemiological method was used to analyze the early warning signals.Results:From January 1 to April 30,2024,the Health Emergency Intelligent Control Platform in Yuhang District generated 4,598 valid warning signals,with a warning signal positive rate of 36.43%.The early warning system detected 71 infectious disease outbreaks reported through the Intelligent Control Platform,including 24 single-source early warning and 47 multi-source early warning.The sensitivity was 78.02%,demonstrating improved performance compared to existing infectious disease surveillance and warning systems.Conclusions:This represents the first domestic publication evaluating an automated multi-source surveillance and multi-point trigger warning system.By integrating and correlating multi-source data,the system can efficiently and accurately detect warning signals of infectious disease incidents,which has significant practical implications for early surveillance,warning,and management of infectious diseases.
基金supported by MOA project 111AS-7.3.4-SB-S3 and 112AS-7.3.4-SB-S3.
文摘At present,debris flow warning uses precipitation threshold and issues regional warning throughout the world.Precipitation threshold warning is less accurate and in most of the time large portion of unaffected population are evacuated.More precise warning should use direct monitoring.There are many debris flow monitoring stations but no real time warning system in use.The main reason is that the identification and confirmation of debris flow occurrence requires human interaction and it is too slow.A debris flow monitoring and warning system has been installed in the midstream section of Yusui Stream,Taiwan China.The monitoring station operates fully automatically,providing early warnings without the need for manual intervention.The system comprises two webcam cameras,two Micro-Electro-Mechanical Systems(MEMS),and a rain gauge.The arrival of debris flows is detected and confirmed through both webcam images and MEMS signals.Once debris flow is detected,the system automatically issues a warning to the affected areas via voice messages,line messages,broadcasts,and web-based alerts.The webcam cameras are also used to estimate debris flow velocity and flow height,while the MEMS sensors are utilized to determine the phase speed and flow rate.On July 24th,2014,Typhoon Gaemi triggered several debris flows,and the system successfully issued several warnings automatically.The entire video record,along with depth variation data,was recorded automatically.
文摘This paper designs a set of semi-automatic intelligent cold chain cargo proximity warning system with wireless data transmission, lightweight Optical Character Recognition identification algorithm framework and electronic label automatic warning as the core technology for cold chain dairy Fast Moving Consumer Goods contractors. In terms of hardware, Pulse Frequency Modulation modulation and demodulation are used as the main technology to realize wireless transmission and reception of equipment, and digital electronic tags are added to warn the same batch of upcoming goods. In terms of software, based on Chinese-ocr algorithm, image preprocessing and recognition methods are studied, and an early warning system is designed. So as to realize semi-automatic early warning of cold chain logistics goods.
