Monitoring Infrastructure Using Sensor NetworksTimur Tokmouline, Samuel R. Madden & Ivan StoianovWhatThe purpose of this project is to assist with the development and evaluation of a wireless sensor network-based system for monitoring large-scale urban infrastructure such as water supply and sewer networks. The work is in collaboration with a research group at the Civil Engineering Department at MIT led by Professor Andrew Whittle (sensor.mit.edu). The main objective is to bridge advances in hydraulic modeling, signal processing and sensor networks in order to demonstrate a prototype low-cost system for continuous monitoring, fault identification (leak detection) and optimal control (pressure optimization) in water distribution and sewer networks. HowThe monitoring is done by clusters of radio-equipped battery-powered sensors, and the collected data is relayed via a 2-hop network to an Internet-connected server (the cluster head). The data collection network is arranged into two tiers. The first tier consists of sensor nodes that have so far been interfaced with pressure transducers, hydrophones, pH probes and ultrasonic level sensors. The sensors forward the acquired data using bluetooth wireless radio to the cluster head. The cluster head controls the sampling regime of the sensor nodes. The two permitted modes are burst event monitoring (up to 1000 S/s) and long-term periodic monitoring. Burst event monitoring permits focusing the system on observation of a single short event, while the long-term sampling regime allows monitoring of the infrastructure in the long run. Finally, the cluster head transfers the data to a data collection center (via GPRS or WiFi). The data center uses the acquired data for the state estimation and fault identification of the monitored system. For example, the data center can use water pressure variations to detect reflections of a pressure wave off of small cracks in the pipe to localize the position of imminent failures [1,2]. GoalsThe work carried out within this project will concentrate on developing the software for transferring the data securely and reliably from the cluster head to the data collection center via GPRS in a dual-way communication. The work will also involve the development of software tools to discipline the oscillator of the cluster head in order to provide accurate time beacons for synchronizing the acquired data. Two techniques will be explored:
Progress Thus FarWe are in the process of setting up a prototype of the system that can diagnose extreme conditions that threaten urban infrastructure. The current progress of this project can be summarized as following:
The sensor nodes are deployed in hard-to-reach locations and have limited power and network connectivity. Hence, we anticipate a number of challenges related to dealing with networking, power management, time synchronization, and remote administration as the project develops. References:[1] Stoianov, I., Dellow, D., Maksimovic, C. and Graham, N.J.D. Field Validation of the Application of Hydraulic Transients for Leak Detection in Transmission Pipelines. In The Proceedings of CCWI 2003 Advances in Water Supply Management Conference, London, UK, September 2003. [2] Stoianov, I., Maksimovic, C. and Graham, N.J.D. Designing a Continuous Monitoring System for Transmission Pipelines, In The Proceedings CCWI 2003 Advances in Water Supply Management Conference, London, UK, September 2003. |
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