Autonomous sensing module, a system and a method of long-term condition monitoring of structures

• US 8,618,934 B2
• Filed: 04/26/2010
• Issued: 12/31/2013
• Est. Priority Date: 04/27/2009
• Status: Expired due to Fees

• Current Assignee: Kolos International LLC
• Original Assignee: Kolos International LLC
• Inventors: Belov, Nickolai S, Belova, Olga V
• Primary Examiner(s): Wu, Daniel
• Assistant Examiner(s): LITTLEJOHN JR, MANCIL H
• Application Number:
  US12/767,779
• Publication Number:
  US 20100271199A1
• Time in Patent Office: 1,345 Days
• Field of Search: 340/539.3, 340/539.1, 340/539.26, 340/683, 340/693.4, 340/539.13, 340/566, 340/693.1, 340/429, 382/107, 307/151, 250/310
• US Class Current: 340/539.3
• CPC Class Codes: G01M 5/00 Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings G01M9/00 takes precedence
• CPC Class Codes: G01M 5/0008 of bridges

Abstract

A system and a method of long-term condition monitoring of structures are based on use of autonomous sensing modules, centers for storing and processing data and software for data analysis. An autonomous sensing module contains a set of sensors for measurements of parameters related to the condition of a monitored structure, a non-volatile memory, a wireless data transfer unit, a controller, a clock circuit, a battery, an energy harvesting device and a power management unit. The autonomous sensing module provides a very long-term (40 years or more) functionality and reliability due to both use of at least near hermetic packages for the controller, the non-volatile memory, the battery, the clock circuit and the power management unit and choosing the duration of periods when the sensing module works in active mode in such a way that the average energy consumed by the autonomous sensing module is fully compensated by the average energy harvested by the energy harvesting device.

Claims

1. An autonomous sensing module for long-term monitoring comprising:

a set of sensors, including at least one sensor of a physical parameter;

said set of sensors generates measurement data;

a non-volatile memory for storing measurement data provided by the set of sensors;

a wireless communication means for transmitting the measurement data;

at least one microcontroller connected to the set of sensors, to the non-volatile memory and to the wireless communication means;

said microcontroller controls data transfer from the sensors to the non-volatile memory, from the non-volatile memory to the wireless communication means and wireless data transmission;

a continuously powered sleep-mode clock circuit;

a set of batteries, including at least one rechargeable battery, said set of batteries has capacity and supplies energy at least to the set of sensors, the non-volatile memory, to wireless communication means and to the sleep-mode clock circuit;

said set of batteries loses power with time due to self-discharge;

at least one energy harvesting device harvesting energy from the environment, converting it to the electrical energy and generating electrical output;

said at least one power management unit connected to said at least one battery from said set of batteries, said at least one energy harvesting device and said at least one microcontroller;

the power management unit;

conditions output voltage of at least one energy harvesting device to a form suitable for battery charging;

charges the battery using the conditioned output voltage of at least one energy harvesting device;

wherein in order to provide a long-term functionality and reliability of the autonomous sensing module;

said at least one microcontroller, the non-volatile memory, the set of batteries, the sleep-mode clock circuit and the power management unit are located in at least near hermetic packages and at least some electrical connections within the autonomous sensing module are covered by a protective layer;

the autonomous sensing module operates in active mode and in sleep mode;

when operating in the active mode, the autonomous sensing module makes measurements, transfers measurement data to the non-volatile memory and transmits the data out using the wireless communication means;

in the sleep mode the autonomous sensing module reduces power usage in comparison with power consumption than in the active mode; and

duration of active mode periods, type and number of measurements and time intervals between active mode periods are chosen in such a way that the average discharge of the at least one rechargeable battery due to both energy consumption by the autonomous sensing module and self-discharge of the battery is fully compensated by the average energy harvesting by said at least one energy harvesting device during subsequent sleep mode periods.

2. An autonomous sensing module of claim 1 wherein the set of sensors includes at least some sensors chosen from the group of a linear accelerometer, an angular accelerometer, a microphone, a strain sensor, a stress sensor, a jointmeter, a temperature sensor, a pressure sensor, a force sensor, a gyroscope, a humidity sensor, a wind sensor, a magnetic sensor, a proximity sensor, an image sensor, a web-camera, a fiber-optic sensor, an optical sensor, a radiation sensor, an acoustic sensor, a chemical sensor, a GPS module.

3. An autonomous sensing module of claim 1 further comprising a signal conditioning hardware for conditioning raw signals of at least some sensors;

the signal conditioning hardware conditions the raw signals of at least some sensors to the form of measurement data by performing at least some of the operations from the set of;

amplification, temperature compensation, filtering using low-pass filter, filtering using high-pass filter, filtering using band pass filter, analog to digital conversion, analog to frequency conversion, amplitude modulation, frequency modulation, pulse width modulation, summation, multiplication, digital correction, signal correction using data from other sensors, multiplexing, assigning time stamps or combination of the above.

4. An autonomous sensing module of claim 1 wherein the wireless communication means contain at least one integrated circuit and an antenna and said at least one integrated circuit is located in at least a near hermetic package.

5. An autonomous sensing module of claim 1 wherein the energy harvesting device uses an energy transformation selected from the following list of energy transformations:

energy of magnetic field to electrical energy, mechanical energy to electrical energy, energy of elastic deformation to electrical energy, energy of wind to electrical energy, energy of radiation to electrical energy, thermal energy to electrical energy, energy of a radioactive particles to electrical energy and chemical energy to electrical energy.

6. An autonomous sensing module of claim 1 wherein the power management unit conditions the electrical output of the at least one energy harvesting device by performing operations chosen from the set of:

AC-DC conversion, signal conversion using a diode bridge, accumulation of harvested energy with help of a reactive element chosen from a group of a capacitor and an inductor, comparison of a voltage drop on a reactive element and output voltage of a battery and combination of the above.

7. An autonomous sensing module of claim 1 wherein at least some components of the autonomous sensing module have a self test capability.

8. An autonomous sensing module of claim 1 wherein switching of the autonomous sensing module from sleep mode to active mode is initiated by a wakeup signal chosen from a group of signals consisting of a signal generated by a sleep-mode clock circuit, a signal generated by a sensor, a signal transmitted through a wireless channel, a signal generated by the power management unit and combination of the above.

9. A system for long-term monitoring of an object comprising:

a set of autonomous sensing modules containing at least one autonomous sensing module;

the autonomous sensor modules are installed at locations chosen from a set of locations consisting of;

on the monitored object, inside the monitored object, outside the monitored object, near the monitored object, under the monitored object, above the monitored object;

each autonomous sensing module comprises;

a set of sensors for measurements of parameters related to properties of the monitored object;

the set of sensors generates measurement data;

a non-volatile memory for storing measurement data generated by the set of sensors;

a wireless communication means communicating with external wireless devices and transmitting the measurement data;

at least one microcontroller connected to the set of sensors, to the non-volatile memory and to the wireless communication means;

said microcontroller controls data transfer from the sensors to the non-volatile memory, from the nonvolatile memory to the wireless communication means and wireless data transmission;

a set of batteries, including at last one rechargeable battery, to power the autonomous sensing module;

at least one energy harvesting device harvesting energy from the environment, converting it to the electrical energy and generating electrical output;

at least one power management unit connected to the at least one battery and to said at least one energy harvesting device;

the power management unit conditions electrical output signal of said at least one energy harvesting device to the form suitable for battery charging;

charges the at least one rechargeable battery using the conditioned electrical output signal;

a continuously powered sleep-mode clock circuit;

a sleep-mode clock periodically generates signals switching the autonomous sensing module from sleep mode to active mode;

power consumption of the autonomous sensing module in sleep mode is significantly smaller than its power consumption in active mode;

at least one base station communicating with and receiving measurement data from said at least one autonomous sensing module;

said base station transfers the measurement data to at least one data processing center;

at least one data processing center receiving data from at least one base station;

software for collection and analysis of the measurement data, including analysis of current data, analysis of historical data for the monitored object, for at least one sensing module and for at least one base station, evaluating magnitude of changes in the monitored parameters and assessing changes in the condition of the monitored objects and associated risks related to the condition and functionality of the monitored object,

wherein in order to provide long-term functionality and reliability of the system for long-term monitoring of an object;

collection of the measurement data, transferring the data to data processing center and at least some data analysis is done by software and does not require human involvement;

use of batteries, energy harvesting and power management provides an average service life of the autonomous sensing modules of at least 20 years without maintenance and repair/replacement; and

the malfunctioning autonomous sensing modules and base stations are identified by said software from said analysis of the measurement data.

10. A system for long-term monitoring of claim 9 wherein the monitoring object is selected from the following group of objects:

a building, a bridge, a wall, a roof, a floor, stairs, a power line, a pipeline, a pipe, a levee, a dam, a pier, a part of a highway, a part of a road, a part of rail road, a tank, a well, a vehicle, an aircraft, a ship, a sea platform, a fence, a gate, a light pole, a traffic pole, a pavement, an underground structure, civil infrastructure facilities, military infrastructure facilities, a structure of historical value, a monument, a machine, a mechanism, an attraction, a bench, a tree, a plant, a group of plants, a garden, an agricultural filed, a landform, a rock, an object of nature.

11. A system for long-term monitoring of claim 9 wherein each base station is powered from a source of power chosen from the group of a power line;

a phone line, a rechargeable battery, a set of batteries, an energy harvesting device and combination of the above.

12. A system for long-term monitoring of claim 9 wherein each base station has non-volatile memory capable of storing measurement data transferred from all autonomous sensing modules communicating with this base station during at least one session.

13. A system for long-term monitoring of claim 9 wherein autonomous sensing modules transfer measurement data to base stations using a data transfer method chosen from a group of methods consisting of:

transferring data by direct communication between an autonomous sensing module and a base station, transferring data from an autonomous sensing module to a base station by transferring the data to at least one intermediate autonomous sensing module.

14. A system for long-term monitoring of claim 9 wherein at least one base station contains at least one sensor.

15. A system for long-term monitoring of claim 9 wherein at least some settings of at least some components of the system can be remotely changed.

16. A method of long-term monitoring of an object comprising the steps of:

selecting a set of parameters of the object for periodic measurements, and evaluation;

providing a system for long-term monitoring of an object, comprising;

a set of autonomous sensing modules;

each autonomous sensor module being powered by at least one battery, at least one autonomous sensing module being equipped with at least one energy harvesting device and at least one autonomous sensing module having a power management unit;

the set of autonomous sensing modules measures parameters selected for periodic measurements and generates measurement data;

at least one base station;

at least one data storing and processing center;

a software for collection and analysis of the measurement data;

deploying said set of autonomous sensing modules at locations chosen from a set of locations consisting of;

on the monitoring object, inside the monitoring object, near the monitoring object, under the monitoring object, above the monitoring object;

deploying said at least one base station near the set of the autonomous sensing modules;

establishing wireless communication between the set of autonomous sensing modules and said at least one base station;

establishing communication between said at least one base station and said at least one data storing and processing center;

making measurements of parameters related to properties of the monitored object and generating measurement data with help of the set of autonomous sensing modules;

harvesting ambient energy with help of said at least one energy harvesting device for compensating of average battery energy consumption by the autonomous sensing modules;

transmitting the measurement data from the set of autonomous sensing modules to said at least base station using the established wireless communication;

transferring the measurement data from said at least one base station to said at least one data storing and processing center using the established communication;

analyzing the measurement data with help of the software;

the analysis includes steps selected from the group of steps consisting of;

analysis of most recent measurement data for said at least one autonomous sensing module;

analysis of most recent measurement data for said at least one base station;

analysis of most recent measurement data for the monitored object;

evaluating the condition of said at least one autonomous sensing module based on the most recent measurement data;

evaluating the condition of said at least one base station based on the most recent measurement data;

evaluating the condition of the monitored object based on the most recent measurement data;

forming historical data for said at least one autonomous sensing module based on multiple sets of measurement data acquired by this autonomous sensing module;

forming historical data for said at least one base station based on multiple sets of measurement data collected by this base station;

forming historical data for the monitoring object based on multiple sets of measurement data collected by the system for long-term monitoring;

establishing a baseline for said at least one autonomous sensing module based on the first sets of measurement data;

establishing a baseline for said at least one base station based on the first sets of measurement data;

establishing a baseline for the monitored object based on the first sets of measurement data;

analysis of historical data for the monitored object;

analysis of historical data for said at least one autonomous sensing module;

analysis of historical data for said at least one base station;

assessing changes in condition and functionality of said at least one sensor and making decision on using data from this sensor;

assessing changes in condition and functionality of said at least one autonomous sensing module and making decision on using data from this autonomous sensing module;

evaluating changes in the parameters characterizing of the monitored object over time;

assessing changes and trends in the condition of the monitored object based on the changes in the statistical parameters obtained by processing of the measurement data;

assessing risks related to the structural stability, safety, and functionality of the monitored object;

and combination of the above steps;

evaluating results of analysis of the measurement data made by the software;

periodically generating summaries describing condition of the monitored object;

periodically generating summaries describing condition of the autonomous sensing modules, base stations and the whole system for long-term monitoring;

providing warnings and alarms based on current condition of the monitored object and assessed trends in the condition of the monitored object,

wherein in order to minimize the cost of ownership of the system for long-term monitoring of an object,

a combination of battery selection, energy harvesting and power management provides at least 20 years of average service life of the autonomous sensing modules without maintenance and repair/replacement;

analysis of the measurement data is provided by the software without human involvement;

periodically generated summaries describing condition of the monitored object and the system for long-term monitoring of the object, warnings and alarms related to the condition of the monitored object are automatically delivered to a pre-determined set of recipients.

17. A method of long-term monitoring of an object according to claim 16 wherein at least some of the following parameters are extracted from the measurement data and used in evaluation of structure condition:

linear acceleration, resonance frequency, modes of oscillation, frequency spectrum, ratio of spectral densities corresponding to different ranges of frequencies, peak amplitude of vibration, velocity, peak velocity during oscillations, displacement, deflection, peak deflection during oscillations, ratio of amplitudes of displacement corresponding to different frequencies, ratio of amplitudes of displacement corresponding to different locations, temperature, amplitude of sound, frequency spectrum of sound, frequency band of sound, angular displacement, angular velocity, angular acceleration, stress, strain, load, light intensity, size of a defect evaluated from at least one image, size of a feature evaluated from at least one image, deviation from a reference, concentration of a pre-determined chemical, strength of magnetic field, a parameter characterizing correlation between output signals of at least two sensors, and a parameter characterizing correlation between at least two parameters extracted from the measurement data.

18. A method of long-term monitoring of an object of claim 16 wherein transmitting of the measurement data to the at least one base station is done using a format that allows error correction and the method further comprises a step of error correction after transmitting the data to at least one base station.

19. A method of long-term monitoring of an object according to claim 16 wherein analysis of the measurement data further includes steps of comparison of collected and historical data with a reference data selected from the group of data consisting of:

data obtained from modeling of the monitoring object and data obtained from similar monitored objects.

20. A method of long-term monitoring of an object of claim 16 further comprising a step of a remote inspection of the monitoring object and remote activation of at least some components of the system for long-term monitoring of the object.