Flexible substrate sensor system for environmental and infrastructure monitoring

• US 8,701,469 B2
• Filed: 11/19/2007
• Issued: 04/22/2014
• Est. Priority Date: 11/21/2006
• Status: Expired due to Fees

• Current Assignee: Cornell University, Health Research Incorporated
• Original Assignee: Cornell University, Health Research Incorporated
• Inventors: Ober, Christopher Kemper, Spencer, Michael G., Turner, James N., Wicker, Stephen B., O'Rourke, Thomas Denis
• Primary Examiner(s): Rogers, David A
• Application Number:
  US12/515,718
• Publication Number:
  US 20110283821A1
• Time in Patent Office: 2,346 Days
• Field of Search: 73/530.1, 73/530.5, 73/614.1, 73/615.8, 738/626.21
• US Class Current: 73/61.41
• CPC Class Codes: G01N 33/0031 comprising two or more sensors, e.g. a sensor array

Abstract

A sensor system utilizing flexible electronics for on-line real-time high-sensitivity sampling, monitoring, and analysis of a parameter or analyte of interest in a fluid or in or on a solid is provided. The flexible substrate sensor system comprises a plurality of sensors, a flexible substrate, a network, and a connection between the sensors and the network, wherein the network reads out or collects information from the sensors. The network can be onboard, connected by via a physical connection to the sensors and the flexible substrate, or external to the sensors and flexible substrate, connected via a telemetric or wireless connection to the sensors. The flexible substrate sensor system can be deployed in systems that conduct or distribute fluids or solids, such as distribution systems (municipal water systems, oil or gas pipeline systems), industrial systems (production facilities, piping, and storage systems), and large structures (dams, bridges, walkways, buildings).

Claims

1. A flexible substrate sensor system for detecting a parameter, analyte or characteristic of interest in a large volume of fluid or in or on a large volume solid comprising:

a. a plurality of sensors;

b. a flexible substrate;

c. an onboard network on the substrate; and

d. a connection between the sensors and the onboard network,

wherein;

the onboard network reads out the sensors or collects information from the sensors,

the plurality of sensors is optimized for volume sampling or sampling the surface of the volume,

the optimization of the plurality of sensors comprises conforming the plurality to a specific geometry of a measurement environment or condition of interest, the plurality of sensors is embedded, incorporated or encapsulated in or on the flexible substrate,

the connection comprises a communication bus On the substrate, and

the connection comprises a bus controller,

wherein the bus controller senses and automatically terminates an open circuit in the flexible substrate.

2. The flexible substrate sensor system of claim 1 wherein the analyte of interest is a fluid or a solid.

3. The flexible substrate sensor system of claim 1 wherein:

a. the plurality of sensors is arranged on the flexible substrate to form at least one measurement array; and

b. each sensor of the plurality of sensors forming the measurement array performs a measurement of the parameter, analyte or characteristic of interest that is independent of the other sensors of the plurality of sensors forming the measurement array.

4. The flexible substrate sensor system of claim 1 wherein at least one sensor of the plurality of sensors is networked to at least one other sensor.

5. The flexible substrate sensor system of claim 1 wherein:

a. the plurality of sensors detects at least two analytes, parameters, or characteristics of interest (or a combination thereof), and

b. the plurality of sensors is disposed on the flexible substrate in a multiplex measurement array.

6. The flexible substrate sensor system of claim 1 wherein the connection is operably connected to an onboard analysis device.

7. The flexible substrate sensor system of claim 1 wherein the connection is operably connected to an external analysis device.

8. The flexible substrate sensor system of claim 1 wherein contacting the flexible substrate sensor system with the analyte, parameters, or characteristic of interest produces a detectable signal that correlates with presence or activity of the analyte, parameter, or characteristic of interest.

9. The flexible substrate sensor system of claim 1 wherein the flexible substrate is a selected one of a sheet, strip, cylinder, coil or spiral.

10. The flexible substrate sensor system of claim 1 wherein the connection comprises a programmable combiner.

11. The flexible substrate sensor system of claim 1 wherein the connection comprises a wireless interface.

12. The flexible substrate sensor system of claim 1 wherein:

a. the flexible substrate is a sheet, and

b. the plurality of sensors is disposed on the sheet to form at least one measurement array.

13. The flexible substrate sensor system of claim 12 comprising a plurality of measurement arrays, wherein:

a. each measurement array of the plurality is disposed on the sheet so that the measurement array is capable of being exposed to the parameter, analyte or characteristic of interest, and

b. at least one exposed measurement array is replaced by translocating the sheet so as to expose an unexposed measurement array to the parameter, analyte or characteristic of interest.

14. The flexible substrate sensor system of claim 1, wherein the degree of local data aggregation or fusion performed on the substrate by the onboard network is varied.

15. The flexible substrate sensor system of claim 14, wherein the degree of local data aggregation or fusion performed on the substrate by the onboard network is varied to:

(a) tailor the probability of false detection and missed detection, or

(b) vary data rates along the communication bus or communication buses.

16. The flexible substrate sensor system of claim 1 wherein a computation regarding a parameter, analyte or characteristic of interest is performed onboard.

17. The flexible substrate sensor system of claim 16 wherein the onboard computation is performed after or before networking.

18. A method for detecting an analyte, parameter or characteristic of interest in a large volume of fluid or in or on a large volume solid, comprising the steps of:

a. providing a flexible substrate sensor system wherein the flexible substrate sensor system comprises a plurality of sensors, a flexible substrate, an onboard network on the substrate and a connection between the sensors and the network, wherein;

the onboard network reads out the sensors or collects information from the sensors,

the plurality of sensors is optimized for volume sampling,

the optimization of the plurality of sensors comprises conforming the plurality to a specific geometry of a measurement environment or condition of interest,

the plurality of sensors is embedded, incorporated or encapsulated in or on the flexible substrate, and

the connection comprises a communication bus on the substrate;

b. contacting the analyte, parameter or characteristic of interest with the flexible substrate sensor system, wherein the contacting of the analyte, parameter or characteristic of interest with the flexible substrate sensor system produces a detectable signal that correlates with the presence or activity of the analyte, parameter or characteristic of interest;

c. correlating the detectable signal with the analyte, parameter or characteristic of interest; and

d. providing data exfiltration,

wherein the data exfiltration network automatically adjusts to a dimension of the flexible substrate selected before or during deployment.

19. The method of claim 18 wherein the data exfiltration is provided by at least one communication bus arranged predominantly along the major axis of the substrate geometry.

20. The method of claim 18 wherein the data exfiltration is provided through at least two communication buses running along at last two axes of the substrate geometry.

27. The method of claim 18 or 21 wherein the analyte, parameter or characteristic of interest is selected from the group consisting of a biological organism, a biologically derived product, a biologically derived contaminant and a biomolecule.

28. The method of claim 18 or 21 wherein the analyte, parameter or characteristic of interest is an ion or a complex molecule comprising an ion.

29. The method of claim 18 or 21 wherein the analyte, parameter or characteristic of interest is a heavy metal, a derivative of a heavy metal or a complex molecule comprising a heavy metal.

30. The method of claim 18 or 21 wherein the analyte, parameter or characteristic of interest is an organic compound.

31. The method of claim 18 or 21 wherein the analyte, parameter or characteristic of interest is selected from the group consisting of pH, ionic strength, temperature, electrical impedance, turbidity, stress, strain, flexure, vibration, non-vibratory motion, acoustics and corrosion.

32. The method of claim 18 or 21 wherein the onboard network performs local data aggregation or fusion on the substrate.

33. The method of claim 32, further comprising the step of varying the degree of local data aggregation or fusion performed on the substrate by the onboard network.

34. The method of claim 33 wherein the degree of local data aggregation or fusion performed on the substrate by the onboard network is varied to:

(a) tailor the probability of false detection and missed detection, or

(b) vary data rates along the communication bus or communication buses.

35. The method of claim 18 or 21 wherein a computation regarding a parameter, analyte or characteristic of interest is performed onboard.

36. The method of claim 35 wherein the onboard computation is performed after or before networking.

37. The method of claim 18 or 21 wherein the onboard network performs local data aggregation or fusion on the substrate.

38. The method of claim 37, further comprising the step of varying the degree of local data aggregation or fusion performed on the substrate by the onboard network.

39. The method of claim 38 wherein the degree of local data aggregation or fusion performed on the substrate by the onboard network is varied to:

(a) tailor the probability of false detection and missed detection, or

(b) vary data rates along the communication bus or communication buses.

40. The method of claim 18 or 21 wherein a computation regarding a parameter, analyte or characteristic of interest is performed onboard.

41. The method of claim 40 wherein the onboard computation is performed after or before networking.

21. A method for detecting an analyte, parameter or characteristic of interest in a large volume of fluid or in or on a large volume solid, comprising the steps of:

a. providing a flexible substrate sensor system wherein the flexible substrate sensor system comprises a plurality of sensors, a flexible substrate, an onboard network on the substrate and a connection between the sensors and the network, wherein;

the onboard network reads out the sensors or collects information from the sensors,

the plurality of sensors is optimized for volume sampling,

the optimization of the plurality of sensors comprises conforming the plurality to a specific geometry of a measurement environment or condition of interest,

the plurality of sensors is embedded, incorporated or encapsulated in or on the flexible substrate, and

the connection comprises a communication bus on the substrate;

b. contacting the analyte, parameter or characteristic of interest with the flexible substrate sensor system, wherein the contacting of the analyte, parameter or characteristic of interest with the flexible substrate sensor system produces a detectable signal that correlates with the presence or activity of the analyte, parameter or characteristic of interest; and

c. correlating the detectable signal with the analyte, parameter or characteristic of interest,

wherein the flexible substrate sensor system additionally comprises a bus controller, wherein the bus controller senses and automatically terminates an open circuit in the flexible substrate.

22. The method of claim 21 additionally comprising monitoring status of a sensor in the plurality of sensors.

23. The method of claim 22 wherein the status is selected from the group consisting of remaining power of the sensor, sensitivity of the sensor and availability of the sensor.

24. The method of claim 22 wherein the monitoring of the status of the sensor in the plurality of sensors is continuous monitoring.

25. The method of claim 22 wherein the monitoring of the status of the sensor in the plurality of sensors is interval monitoring.

26. The method of claim 22 wherein the monitoring of the status of the sensor in the plurality of sensors is functionality monitoring.