HIGH SENSITIVITY ENVIRONMENTAL SENSOR NETWORK AND NETWORK SERVICES FOR STRUCTURAL HEALTH MONITORING

• US 20170184470A1
• Filed: 11/07/2016
• Published: 06/29/2017
• Est. Priority Date: 05/24/2010
• Status: Active Grant

• Current Assignee: Board of Trustees of The University of Illinois
• Original Assignee: Board of Trustees of The University of Illinois
• Inventors: Spencer, JR., B.F., Rice, Jennifer, Agha, Gul
• Granted Patent: US 9,970,842 B2
• Time in Patent Office: Days
• CPC Class Codes: G01M 5/0066 by exciting or detecting vibration or acceleration vibration testing of structures G01M7/00
• CPC Class Codes: G01P 15/18 in two or more dimensions
• CPC Class Codes: G01V 1/18 Receiving elements, e.g. seismometer, geophone or torque detectors, for localised single point measurements
• CPC Class Codes: H04W 24/00 Supervisory, monitoring or testing arrangements
• CPC Class Codes: H04W 52/0235 where the received signal is a power saving command
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A high sensitivity structural health monitoring network includes a plurality of sensor nodes disposed apart from each other and communicating through one or more sensor channels. The nodes include smart sensor circuit boards with an interface to a wireless smart sensor board platform, a multi-axis accelerometer having a measurement range and resolution set to provide sensitivity to measure ambient structural vibrations an analog to digital converter for converting signals that includes a plurality of individual channels being individually programmable for signal conditioning for providing data to the interface. A network framework provides network services including a time synchronization service with network-wide global timestamps for sensor data and a unified sensing service that supports collection of data for all sensor channels from all nodes together with a single set of associated time stamps.

Claims

1. A high sensitivity structural health monitoring network, the network comprising:

a plurality of sensor nodes disposed apart from each other and communicating through one or more sensor channels, each sensor node comprising a smart sensor circuit board, the sensor board comprising;

an interface to a wireless smart sensor board platform;

a multi-axis accelerometer having a sensitivity that can measure ambient structural vibrations resulting from non-catastrophic routine environmental factors;

an analog to digital converter (ADC) for converting signals from the multi-axis accelerometer, the ADC having a plurality of individual channels, each channel including being individually programmable for signal conditioning for providing data to said interface;

a network framework providing network services for the plurality of sensor nodes through the one or more sensor channels, the network framework including a time synchronization service with network-wide global synchronization for sensor data and a unified sensing service that supports collection of data for all sensor channels from all nodes together.

2. The network of claim 1, wherein the unified sensing service combines data for all of the one or more sensor channels together with a single set of associated time stamps in a single unified, shared data structure.

3. The network of claim 1, wherein the network framework is provided by a base station node of the plurality of sensor nodes.

4. The network of claim 3, wherein the synchronization service comprises a synchronization of the base station node with remote nodes of the plurality of sensor nodes following by sensing with a concurrent collection of timestamps.

5. The network of claim 3, further comprising the base node locally resampling synchronized data received from the remote nodes to account for jitter or non-uniform delay in the start of sensing for each one of the remote nodes.

6. The network of claim 3, wherein the synchronization service comprises the base node applying a resampling filter to adjust data from the remote nodes such that each of the remote nodes has a common sampling rate with a common start time.

7. The network of claim 1, wherein the synchronization service comprises one of the plurality of sensor nodes receiving timestamps and data from other ones of the plurality of sensor nodes and resampling the data to a common timestamp.

8. The network of claim 7, wherein the resampling comprises the one of the plurality of sensor nodes applying a resampling filter to adjust data from the other ones of the plurality of sensor nodes such that each of the remote nodes has a common sampling rate with a common start time.

9. The network of claim 1, wherein the network services comprise correlation to a reference sensor node in the plurality of sensor nodes to eliminate noise terms in other ones of the plurality of sensor nodes.

10. The network of claim 9, wherein the reference sensor comprises a wired sensor node and at least other ones of the plurality of sensor nodes comprises wireless sensor nodes.

11. The network of claim 1, wherein the network services comprise directing running different services on multiple ones of the plurality of sensor nodes and directing the communication of results of services from one to another of the plurality of sensor nodes.

12. The network of claim 11, wherein the network services comprise running a service to accept the results of other services from multiple ones of the plurality of sensor nodes.

13. The network of claim 1, wherein at least some of the plurality of sensor channels comprise wireless channels.

14. The network of claim 13, wherein the network services comprise a snooze alarm sleep mode that sets the at least some of the plurality of sensor nodes in a snooze alarm duty cycle have a period listen time mode that is long enough to receive and process commands.

15. The network of claim 1, wherein the network services comprise a sentry service that sets one or more of the plurality of sensor nodes to act as sentry nodes that are woken up periodically to sense data for a short period of time, determine if a set threshold has been exceeded in the measured data, and send a flag back.

16. The network of claim 1, wherein at least some of the plurality of sensors are installed on a bridge to monitor structure health of the bridge.

17. A high sensitivity structural health monitoring network, the network comprising:

a plurality of sensor nodes disposed apart from each other and communicating through one or more sensor channels, each sensor node comprising a smart sensor circuit board, the sensor board comprising;

an interface to a wireless smart sensor board platform;

a multi-axis accelerometer having a sensitivity that can measure ambient structural vibrations resulting from non-catastrophic routine environmental factors;

an analog to digital converter (ADC) for converting signals from the multi-axis accelerometer, the ADC having a plurality of individual channels, each channel including being individually programmable for signal conditioning for providing data to said interface;

network service means for managing synchronization and collection of data from the plurality of sensor nodes.

18. The network of claim 17, wherein said network services means comprise reference node means for setting a reference node and using the reference node to correct data from other ones of the plurality of sensor nodes.

19. The network of claim 17, wherein said network services means comprise sentry node means for setting a sentry node to periodically monitory for structural events.