Technology Applications

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Engineering

Environmental Disaster Prevention Model Integration Technology – In the Case of Disaster Prevention and Relief Technology Applications

  • Introduction

Typhoon, earthquake, landslide, debris flow, flood, drought, and climate change not only cause the loss of lives and assets, but also impact the nationwide development. The Executive Yuan Program on Applying Science and Technology for Disaster Reduction was implemented in response, and NCHC is responsible for integrating the data from each government authority with modeling of academia and research institutes. NCHCutilizes several innovative technologies, such as cloud services, high-performance computing, big data analysis, IoT, image recognition, statistical analysis, and machine learning, to integrate horizontally a wide range of environmental disaster prevention related Big data, and jointly established the Disaster Management Information Platform with the National Science and Technology Center for Disaster Reduction. 

The platform allows government authorities and citizens to access Taiwan's disaster prevention data and maps online, and also further access real-time information, which is applied in disaster situation monitoring, disaster situation warning, forecast, and emergency response systems and models for large scale complex disasters. This provides relevantpersonnel with more accurate and realtime information of environmental disaster prevention for better and precise decision-making. It thereby improves our capabilities of environmental disaster prevention, reduces the impact of complex disasters, and precisely estimates the amount for the post-disaster recovery.  

  • Scientific Breakthrough
    • Concatenation of the disaster prevention information and analytic models. 
    • Development of the graphical interface for modeling. 
    • Advanced weather image processing technology. Improvement of visibility of surveillance images at night and during typhoonsUtilize machine learning in identifying the disaster situation from surveillance images. It can greatly reduce manual monitoring and upgrade the efficiency of disaster prevention.   

  • Industry Applications

Our innovative services such as automatic monitoring service which contains the technology of video automated target detection and image object recognitions. This can greatly help several disaster prevention related industries such as security, fire safety and public safety on various aspects: shorten the time of early warning and upgrade the accuracy.

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DMIP

Website: http://dmip.tw/

Contact Person:Mr. Shih

886-3-5776085 # 275 

1703064@narlabs.org.tw


Smart Machinery – Machinery Condition Monitoring and Intelligent Diagnosis System

  • Introduction

The internet of things (IoT) technique for measuring vibration, which was developed using sensor nodes that measures unique signal features of equipment operating in different states, uploads vibration responses to a cloud computing platform. The platform mounts an AI-based vibration analysis algorithm to monitor the machinery health for risk control and prevention.  

  • Scientific Breakthrough  
    • The IoT technique for measuring vibration deploy a large number of sensor nodes to measure real-time vibration responses.
    • A recurrent neural network is used to establish the machinery diagnosis model.
    • The AI-based vibration analysis algorithm enables accurate analysis from the measured data of accelerometer without calibration procedure.  

  • Industry Applications

The machinery vibration measuring and intelligent diagnosis system can be applied to manufacturing equipment damage diagnosis, chiller and heat sink fan motor monitoring, wind turbine operation and maintenance, and tall building and bridge structure health monitoring, ensuring the condition of machinery or structures through monitoring and intelligent diagnosis.

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Smart Machinery – Equipment Vibration Monitoring and Smart Diagnosis System


Contact Person:Mr. Su

1203017@narlabs.org.tw


Smart City

  • Introduction

Smart city refers to the use of information technology to integrate a city's systems and services for urban safety, energy, and public safety. The big data accumulated from environment monitoring and simulations is combined with artificial intelligence, such image recognition technology for adverse urban environments (e.g. rain, fog, flood, and fire accidents), crowd tracking and positioning technology, and public facility safety monitoring technology, and open data from communities, civil issues, and other organizations are also included in big data analysis for public safety predictions.The NCHC improves energy use efficiency and reduces pollution from power consumption via offshore wind turbines and an integrated smart energy information management system, which were established in coordination with the government's promotion of green energy technology with Shalun as the R&D and display center. It also develops products for big data analysis, R&D, and application in coordination with the electricity prices and demand during the implementation period.

  • Scientific Breakthrough
    • Image analysis services related to people flow, traffic flow, disaster prevention, and monitoring.
    • The crowd image recognition technology can determine the location of each face in the crowd, and further analyze the number of people, age, gender, and route information.
    • Community, civil issue, and public sentiment analysis.
    • Smart grid integration analysis.

  • Industry Applications

Smart city and community related technologies are developed to meet the demand on disaster prevention, public security, fire safety, public safety, energy, and transportation in cities. These technologies can be applied to monitoring, security, IoT, market and exhibition hall, logistics, and power related industries.

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Contact Person:Mr. Wu

0003103@narlabs.org.tw