Agent System for Operating Web-Based Sensor Nodes via the Internet

2006 ◽  
Vol 18 (2) ◽  
pp. 186-194 ◽  
Author(s):  
Tokihiro Fukatsu ◽  
◽  
Masayuki Hirafuji ◽  
Takuji Kiura

Web-based sensor nodes, which have a Wireless LAN and a Web server for remote monitoring, could be used with little effort by users thanks to their easy installation, monitoring, and management. To realize a sensor network with high scalability, fewer legacy problems, and general versatility, we propose an agent system for operating Web-based sensor nodes via the Internet. The agent system handles many kinds of sensor nodes flexibly and uniformly with the agent program and configuration files. Constructing all agent objects based on the Internet enhances the expansion of operation, control, and scale. By making the agent system architecture, algorithm, and implementation, we demonstrate the capabilities and reliability of this useful sensor network.

2005 ◽  
Vol 17 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Tokihiro Fukatsu ◽  
◽  
Masayuki Hirafuji

In order to realize field and environment monitoring over long periods, we propose remote monitoring that responds flexibly and dynamically to change. Field Servers are one of the small monitoring sensor-nodes having a Web server accessed via the Internet and using a wireless LAN to provide a high-speed transmission network differing from traditional sensor-nodes. Monitoring with Field Servers enables easy installation, monitoring field information, and remote operation in any field. By providing a Web server for all modules, we can treat them collectively via the Internet. To evaluate this monitoring, we managed numerous Field Servers in different countries using an agent program. Field experiments show the system is safe and effective for remote monitoring applications.


2011 ◽  
Vol 130-134 ◽  
pp. 2836-2840 ◽  
Author(s):  
Wu Chu Tang ◽  
Zhi Hui Shi ◽  
Da Li Kang

In this paper, a remote real-time online rotating machinery monitoring system, which was developed and tested in the Industrial application, is presented including its remote monitoring sub-system, fault diagnosis sub-system. First, the system architecture is introduced. Next, a web-based remote monitoring system is designed, which allows researches and engineers to remotely monitor the health of the machine from any remote geographic location through the Internet. Finally, the holographic spectrum technology in this system is discussed as well for the purpose of providing accurate and reliable diagnosis of the machine states and accident prevention.


2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.


Due to the recent advancements in the fields of Micro Electromechanical Sensors (MEMS), communication, and operating systems, wireless remote monitoring methods became easy to build and low cost option compared to the conventional methods such as wired cameras and vehicle patrols. Pipeline Monitoring Systems (PMS) benefit the most of such wireless remote monitoring since each pipeline would span for long distances up to hundreds of kilometers. However, precise monitoring requires moving large amounts of data between sensor nodes and base station for processing which require high bandwidth communication protocol. To overcome this problem, In-Situ processing can be practiced by processing the collected data locally at each node instead of the base station. This Paper presents the design and implementation of In-situ pipeline monitoring system for locating damaging activities based on wireless sensor network. The system built upon a WSN of several nodes. Each node contains high computational 1.2GHz Quad-Core ARM Cortex-A53 (64Bit) processor for In-Situ data processing and equipped in 3-axis accelerometer. The proposed system was tested on pipelines in Al-Mussaib gas turbine power plant. During test knocking events are applied at several distances relative to the nodes locations. Data collected at each node are filtered and processed locally in real time in each two adjacent nodes. The results of the estimation is then sent to the supervisor at base-station for display. The results show the proposed system ability to estimate the location of knocking event.


Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.


Author(s):  
Ming-Jui Huang ◽  
Cheng-Tao Chuang ◽  
Kai-Hsiang Yang ◽  
Cheng-Yuan Liou

2012 ◽  
Vol 433-440 ◽  
pp. 4235-4240
Author(s):  
Hong Yu Sheng ◽  
Xiao Lei Sun ◽  
Dong Wan ◽  
Yue Yue Wang

The article studies the wireless sensor network technology, using its features and functionality such as low-power, self-organization of networks and short-distance wireless transmission, integrating sensor technology, embedded computing technology, distributed data processing technology and telecommunication technology to transmit sample data into terminals. It solved the cost and the on-site maintenance problems in the wired sensor solution, and the high cost, high energy consumption, low stability and short lifespan problems in the sensor nodes under high-pressure en-vironment. By introducing two project cases including the application in the drug storage in Beijing Double-Crane Pharmaceutical Co., Ltd and the application in temperature control of high-voltage bus bars and high-voltage switches, the article analyses the application of wireless sensor network technology in remote monitoring and trouble shooting and its outlook, but providing the most straightforward and reliable data evidence for corporation steering committee and executives to mi-nimize risks and accidents. It is proved that the research results have significant practical value.


2011 ◽  
pp. 92-108
Author(s):  
Stephen D. Durbin ◽  
Doug Warner ◽  
J. Neal Richter ◽  
Zuzana Gedeon

This chapter introduces practical issues of information navigation and organizational knowledge management involved in delivering customer service via the Internet. An adaptive, organic approach is presented that addresses these issues. This approach relies on both a system architecture that embodies effective knowledge processes, and a knowledge base that is supplemented with meta-information acquired automatically through various data mining and artificial intelligence techniques. An application implementing this approach, RightNow eService Center, and the algorithms supporting it are described. Case studies of the use of eService Center by commercial, governmental and other types of organizations are presented and discussed. It is suggested that the organic approach is effective in a variety of information-providing settings beyond conventional customer service.


2011 ◽  
pp. 1971-1986
Author(s):  
Stephen D. Durbin ◽  
Doug Warner ◽  
J. Neal Richter ◽  
Zuzana Gedeon

This chapter introduces practical issues of information navigation and organizational knowledge management involved in delivering customer service via the Internet. An adaptive, organic approach is presented that addresses these issues. This approach relies on both a system architecture that embodies effective knowledge processes, and a knowledge base that is supplemented with meta-information acquired automatically through various data mining and artificial intelligence techniques. An application implementing this approach, RightNow eService Center, and the algorithms supporting it are described. Case studies of the use of eService Center by commercial, governmental and other types of organizations are presented and discussed. It is suggested that the organic approach is effective in a variety of information-providing settings beyond conventional customer service.


2013 ◽  
Author(s):  
Tokihiro FUKATSU ◽  
Masayuki HIRAFUJI ◽  
Takuji KIURA

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