• Title/Summary/Keyword: Sensor System Integration

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Centralized Kalman Filter with Adaptive Measurement Fusion: its Application to a GPS/SDINS Integration System with an Additional Sensor

  • Lee, Tae-Gyoo
    • International Journal of Control, Automation, and Systems
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    • v.1 no.4
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    • pp.444-452
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    • 2003
  • An integration system with multi-measurement sets can be realized via combined application of a centralized and federated Kalman filter. It is difficult for the centralized Kalman filter to remove a failed sensor in comparison with the federated Kalman filter. All varieties of Kalman filters monitor innovation sequence (residual) for detection and isolation of a failed sensor. The innovation sequence, which is selected as an indicator of real time estimation error plays an important role in adaptive mechanism design. In this study, the centralized Kalman filter with adaptive measurement fusion is introduced by means of innovation sequence. The objectives of adaptive measurement fusion are automatic isolation and recovery of some sensor failures as well as inherent monitoring capability. The proposed adaptive filter is applied to the GPS/SDINS integration system with an additional sensor. Simulation studies attest that the proposed adaptive scheme is effective for isolation and recovery of immediate sensor failures.

Development of Multi-function Sensor Integration Module System for Smart Green Building (스마트 그린빌딩 구현을 위한 다기능 센서 통합 모듈 시스템 개발)

  • Kim, Bong-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.10
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    • pp.4799-4804
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    • 2013
  • Green IT technology for the growth of low-carbon green environment and future development of the new technology. Therefore, in this paper, data generated by the security module for RFID applications, smart green building Sung multi-function sensor integrated module that can be integrated environment for building monitoring and management system has been developed. The development of a thermal sensor, temperature sensor, smog sensor, CO2 sensor, O2 sensor, tension sensor and damage detection sensor module with integrated system module integrated multi-functional sensors implemented in the paper. In real-time monitoring by allowing was design and developed system that can be implemented smart green building environment for the environment inside buildings.

A Study on the 3-dimensional feature measurement system for OMM using multiple-sensors (멀티센서 시스템을 이용한 3차원 형상의 기상측정에 관한 연구)

  • 권양훈;윤길상;조명우
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2002.10a
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    • pp.158-163
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    • 2002
  • This paper presents a multiple sensor system for rapid and high-precision coordinate data acquisition in the OMM (On-machine measurement) process. In this research, three sensors (touch probe, laser, and vision sensor) are integrated to obtain more accurate measuring results. The touch-type probe has high accuracy, but is time-consuming. Vision sensor can acquire many point data rapidly over a spatial range but its accuracy is less than other sensors. Also, it is not possible to acquire data for invisible areas. Laser sensor has medium accuracy and measuring speed among the sensors, and can acquire data for sharp or rounded edge and the features with very small holes and/or grooves. However, it has range- constraints to use because of its system structure. In this research, a new optimum sensor integration method for OMM is proposed by integrating the multiple-sensor to accomplish mote effective inspection planning. To verify the effectiveness of the proposed method, simulation and experimental works are performed, and the results are analyzed.

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MULTI-SENSOR INTEGRATION SYSTEM FOR FOREST FIRE PREVENTION

  • Kim Eun Hee;Chi Jeong Hee;Shon Ho Sun;Jung Doo Young;Lee Chung Ho;Ryu Keun Ho
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.450-453
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    • 2005
  • A forest fire occurs mainly as natural factor such as wind, temperature or human factor such as light. Recently, the most of forest fire prevention is prediction or prevision against forest fire by using remote sensing technology. However in order to forest fire prevention, the remote sensing has many limitations such as high cost and advanced technologies and so on. Therefore, we need to multisensor integration system that utilize not only remote sensing but also in-situ sensing in order to reduce large damage of forest fire though analysis of happen cause and prediction routing of occurred forest fire. In this paper we propose a multisensor integration system that offers prediction information of factors and route of forest fire by integrates collected data from remote sensor and in-situ sensor for forest fire prevention. The proposed system is based on wireless sensor network for collect observed data from various sensors. The proposed system not only offers great quality information because firstly, raw data level fuse different format of collected data from remote and in-situ sensor but also accomplish information level fusion based on result of first stage. Offered information from our system can help early prevention of factor and early prevision against occurred forest fire which transfer to SMS service or alert service into monitoring interface of administrator.

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A Study for Protocol for Heterogeneous Interface in Sensor Networks within Water Restore Facilities (수질복원시설물 내 센서 네트워크 이기종간 인터페이스용 프로토콜에 관한 연구)

  • Kim, Chan;Shin, Jaekwon;Cha, Jaesang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.5
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    • pp.255-260
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    • 2012
  • Currently, the management system of wastewater treatment facility has magnified due to the stringent regulations for the protection of the environment. However, wastewater treatment system is insufficient in wastewater quality monitoring technology in specialized. Above all it aim one-to-one data transmission instead of one-to-n data transmission through sensor and network. And then, it lack compatibility toward communication system between different. Mainly it has observed detecting system of manual system. In this paper, we studied protocol technology about efficient data transmission between sensor and integration interface of water quality detecting interface for automated sensor network integration interface in water restoration facility. Therefore, we proved the possibility of efficient data transmission from communication system of different type through monitoring implementation of sensor network integration interface.

System Integration Test System Integration Test of Containment Structure of Nuclear Power Plant Using Fiber Optic Sensor (광섬유센서를 이용한 원자력 발전소 격납구조물의)

  • 김기수
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.519-526
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    • 2003
  • In this paper, a Fiber Bragg Grating (FRG) sensor system is described and FBGs are well-suited for long term and extremely severe experiments, where traditional strain gauges fail. In the system, a reflect wave-length measurement method which employs a tunable light source to find out the center wave-length of FBG sensor is used. We apply the FBG system to nuclear energy Power Plant for structural integrity test to measure the displacement of the structure under designed pressure and to check the elasticity of the structure by measuring the residual strain. The system works very well and it is expected that it can be used for a real-time strain. temperature and vibration detector of smart structure.

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GPS/DR Integration for Mobile Robot Navigation

  • Seonil Yoon;Yim, Kook-Hyun;Kim, Hyun-Soo;Jee, Gyu-In
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.33.4-33
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    • 2002
  • Recently, number of navigation system using GPS and other complementary sensor has been developed to offer high-position accuracy. In this paper, we developed navigation system for mobile robot integrating GPS and DR sensor information provided by fiber optic gyroscopes and encoder information. In the case of short-term applications, integrating this encoder and gyroscope through Kalman filter reliable positioning can be obtained. And for the long-term applications we developed GPS/DR Integration algorithm using Kalman filter

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Development and Evaluation of 3-Axis Gyro Sensor based Servo motion control (3-Axis Gyro Sensor based on Servo Motion Control 장치의 성능평가기준 및 시험규격개발)

  • Lee, WonBu;Chang, Chulsoon;Kim, JeongKuk;Park, Soohong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.627-630
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    • 2009
  • The combination of the marine use various multi sensor surveillance system technology with the development of servo motion control algorithm and gyro sensor in six freedom motion is implemented to analyze the movement response. The stabilization of the motion control is developed and Nano driving Precision Pan-Tilt/Gimbal system is obtained from the security positioning cameras with ultra high speed device is used to carry out the exact behavior of the device. The exact behavior will be used to make a essential equipment. Finally the development of the Nano Driving Multi Sensor, Nano of Surveillance System Driving Precision Pan-Tilt/Gimbal optimal design and production, 3-aix Gyro Sensor based with Servo Motion Control algorithm development, Image trace video software and hardware tracking the development is organized and discuss in details. The development of the equipment and the system integration are fully experimented and verified.

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3-D Hetero-Integration Technologies for Multifunctional Convergence Systems

  • Lee, Kang-Wook
    • Journal of the Microelectronics and Packaging Society
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    • v.22 no.2
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    • pp.11-19
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    • 2015
  • Since CMOS device scaling has stalled, three-dimensional (3-D) integration allows extending Moore's law to ever high density, higher functionality, higher performance, and more diversed materials and devices to be integrated with lower cost. 3-D integration has many benefits such as increased multi-functionality, increased performance, increased data bandwidth, reduced power, small form factor, reduced packaging volume, because it vertically stacks multiple materials, technologies, and functional components such as processor, memory, sensors, logic, analog, and power ICs into one stacked chip. Anticipated applications start with memory, handheld devices, and high-performance computers and especially extend to multifunctional convengence systems such as cloud networking for internet of things, exascale computing for big data server, electrical vehicle system for future automotive, radioactivity safety system, energy harvesting system and, wireless implantable medical system by flexible heterogeneous integrations involving CMOS, MEMS, sensors and photonic circuits. However, heterogeneous integration of different functional devices has many technical challenges owing to various types of size, thickness, and substrate of different functional devices, because they were fabricated by different technologies. This paper describes new 3-D heterogeneous integration technologies of chip self-assembling stacking and 3-D heterogeneous opto-electronics integration, backside TSV fabrication developed by Tohoku University for multifunctional convergence systems. The paper introduce a high speed sensing, highly parallel processing image sensor system comprising a 3-D stacked image sensor with extremely fast signal sensing and processing speed and a 3-D stacked microprocessor with a self-test and self-repair function for autonomous driving assist fabricated by 3-D heterogeneous integration technologies.

Development of GIS based Air Pollution Information System, using a Context Awareness Model (상황인지모델을 이용한 GIS 기반의 대기오염 정보시스템 개발)

  • Kim, Taehoon;Hong, Sungchul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.4228-4236
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    • 2015
  • Due to the rapid advance in web and mobile computing technologies, normal users have become to produce, provide, and share a varied form of spatial data and information. In the domain of spatial information, numerous researches on GIS have been conducted to provide spatial information services based on a geo-sensor network and a data integration and processing technology. However, to provide user-oriented information, a context information model is necessary to associate GIS data with web and sensor data. Context awareness services is designed to provide specific information, minimizing users' interference. For which, the context information model expresses the relationship of various data from sensor networks and mobile applications and provides a user-specific information considering location and area of interest. Thus, this research aims to develops a context information model based air-pollution information system that obtains and analyses air pollution data and reflects the analysis results on an air-pollution policy. Also, this system aims to raise citizens' awareness on air-pollution and to promote citizens' participatory to improve city's air quality.