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Transcript of Design and Deployment of Industrial Sensor Networks: Experiences from a Semiconductor Plant and the...
Design and Deployment of Industrial Sensor Networks:Experiences from a Semiconductor Plant and the North Sea
Lakshman Krishnamurthy†, Robert Adler†, Phil Buonadonna‡, Jasmeet Chhabra†,
Mick Flanigan†, Nandakishore Kushalnagar†, Lama Nachman†, Mark Yarvis† 1
Sensys 2005
Presenter SY
Outline Introduction Background and Motivation Application Analysis Pre-planning and Requirements Hardware Architecture and Comparison Network Architecture and Comparison Mica2 and Inter Mote Performance Comparison Conclusions Comments Discussion – what we need.
Introduction
Predictive Maintenance (PdM) – monitor and assess the health status of a piece of equipment that is in service.
They have chosen one form of PdM – Vibration analysis.
Deployed on two environments. Semiconductor fabrication plant Oil tanker
Introduction
Semiconductor fabrication plant – Central utility support building (CUB) Produce pure water, handle gases, and
process waste water. Two platforms in same deployment. Mica2 and
Intel Mote Oil tanker
Roughest environments for industrial sensor networks.
Background and Motivation
PdM technologies: Vibration Analysis: Time domain and frequenc
y domain waveform analysis. Oil Analysis: wear particles, viscosity, acidity,
and raw elements. Infrared Thermography: detect abnormal heat
sources and compare to baseline data. Ultrasonic Detection: detect wall thickness, cor
rosion and blistering, erosion, flow dynamics, and wear patterns.
Background and Motivation
Why predictive maintenance (PdM) Reduce cost: equipment failures, repair, replac
ement Change business model: from calendar-based
maintenance to indicator-driven maintenance Quantify the quality of a new system within the
warranty period. Meeting factory uptime and reliability requirem
ents
Background and Motivation
Background and Motivation
An industry cross section shows: Online system in the market is less than 10% 20% use manual data collection. Finding a solution to address this market and t
ap into the remaining 70% may represent a killer application for wireless sensor netwroks.
Application Analysis
Vibration analysis. Wilconxon model 786A sensors:
Calibrated 100mV/G with 5% calibration sensitivity.
80g’s peak. Sampling rate of 19.2KHz.
Application Analysis
Outline Introduction Background and Motivation Application Analysis Pre-planning and Requirements Hardware Architecture and Comparison Network Architecture and Comparison Mica2 and Inter Mote Performance Comparison Conclusions Comments Discussion – what we need.
Pre-planning and Requirements
Site survey: an industrial site-survey addresses the following issues: RF coverage – identify shadows. RF interference – 802.11 AP, motor
controllers, solid state switchgear. Mechanics – Practical matters of where and
how to mount sensors, sensor nodes, and gateways.
Pre-planning and Requirements
Site Survey Experiences -- Setting
Sensor nodes placed close to sensing points. Gateway were placed based near available
power outlets and wired network connectivity.
Site Survey Experiences – Oil tanker
Site Survey Experiences – Procedures
Sensor nodes executed an end-to-end test. Statistics were collected: packet loss and
packet hop count. For the gateways, a simple data copy was
used to evaluate 802.11b connectivity. Passive RF spectrum analysis was performed
with the sensor network disabled.
Site Survey Experiences -- CUB
Overall good connectivity between potential gateway locations and sensing points.
916MHz Mica2 exhibited some RF shadows at certain points.
Moving to alternate points alleviated the shadowing effect.
Intel Motes has no shadow…………… 802.11b connectivity between Stargate gatew
ays was initially excellent, be it changed over the course of days.
Site Survey Experiences – Oil Tanker
Excellent sensor node and gateway connectivity.
433MHz Mica2 were not able to communicate through a non-watertight bulkhead/doorway.
Intel Motes again …… goods. 802.11b connectivity was excellent Shipboard spectrum analysis test showed no
adverse interference conflicts for the motes, the gateways, or the ship.
Site Survey Experiences -- conclusion
Fewer gateway nodes were required to achieve adequate coverage than initially anticipated.
Coverage of outdoor nodes from an indoor gateway was shown to be feasible.
Higher RF frequency was preferred in the industrial environment.
Requirements
Fault tolerance and reliability Long-lived battery powered operation Maintainable Seamless integration into existing applicatoin Security
Hardware Architecture and comparison
Hardware Architecture and comparison
Hardware Architecture and comparison – summaries Multiple sensors connected to one sensor
board. Intel motes is more powerful but more
complex. Intel Mote’s fast UART (up to 960 kb/s) was
more than adequate to support required sampling rate of 16 bit data at 19.2 kHz.
Network Architecture – Mica2
Three tier architecture. Tier 1: sensor nodes form clusters. Tier 2: Stargate gateway, clusters head. Form
a 802.11b backbone. Tier 3: Bridge Stargate and server.
Mica2 Power Management and transfer Protocol Centralized wake/sleep protocol. Cluster-head (gateway) schedules the wake and slee
p period. When cluster awake, it initiates single-destination-DS
DV routing to find a path to cluster-head. Cluster-head schedules the capture/transfer for every
sensor nodes. When data has been transferred to the gateway, it is t
ime-stamped. Gateway periodically copies data files to the root Star
gate.
Bulk Transfer Protocol
When a sensor node is scheduled to transmit, it sends a connection request to the gateway.
This request contains a set of connection parameters: fragment size, data size, and transfer rate.
Intel Mote (bluetooth) has larger sliding window, larger fragment size, higher transfer rate.
Intel Mote – The Different
Scatternet formation algorithm: create a tree topology with a predefined root node.
Implemented a network low power mode.
Fault Tolerance
Multiple watchdog timers were used to recover from any non operational state.
Storage of the core network states in cluster heads.
Intentional re-initialization of sensor nodes after each collection cycle.
Non-volatile storage of critical state at the cluster head after every collection.
Outline Introduction Background and Motivation Application Analysis Pre-planning and Requirements Hardware Architecture and Comparison Network Architecture and Comparison Mica2 and Inter Mote Performance Comparison Conclusions Comments Discussion – what we need.
Performance Across Cluster
Power Consumption
Power Consumption
Conclusion
More capabilities in the sensing platform enabled a simpler and more effective overall system design.
Sparse clusters of sensors in industrial environment.
Multi-hop is uncommon. Tiered architectures is more suitable.
Comments
Ya, more powerful node is more suitable for high data rate applications, we all know.
But the system is more complex. Mica2 is an old design with quite low ability in
terms of microcontroller.
Discussions – what do we need for our own deployment. We need a plan before deployment. Site-survey Consider the maintainability Battery power or permanent power. Fault tolerance – watch dog.