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NZ764631B2 - Internet of things (iot) enabled wireless sensor system enabling process control, predictive maintenance of electrical distribution networks, liquid and gas pipelines and monitoring of air pollutants including nuclear, chemical, and biological agents using attached and/or embedded passive electromagnetic sensors - Google Patents
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NZ764631B2 - Internet of things (iot) enabled wireless sensor system enabling process control, predictive maintenance of electrical distribution networks, liquid and gas pipelines and monitoring of air pollutants including nuclear, chemical, and biological agents using attached and/or embedded passive electromagnetic sensors - Google Patents

Internet of things (iot) enabled wireless sensor system enabling process control, predictive maintenance of electrical distribution networks, liquid and gas pipelines and monitoring of air pollutants including nuclear, chemical, and biological agents using attached and/or embedded passive electromagnetic sensors

Info

Publication number
NZ764631B2
NZ764631B2 NZ764631A NZ76463118A NZ764631B2 NZ 764631 B2 NZ764631 B2 NZ 764631B2 NZ 764631 A NZ764631 A NZ 764631A NZ 76463118 A NZ76463118 A NZ 76463118A NZ 764631 B2 NZ764631 B2 NZ 764631B2
Authority
NZ
New Zealand
Prior art keywords
electromagnetic
passive
controller
sensor system
data
Prior art date
Application number
NZ764631A
Other versions
NZ764631A (en
Inventor
Michael Munoz
Original Assignee
Michael Munoz
Filing date
Publication date
Application filed by Michael Munoz filed Critical Michael Munoz
Priority claimed from PCT/US2018/063394 external-priority patent/WO2019108986A1/en
Publication of NZ764631A publication Critical patent/NZ764631A/en
Publication of NZ764631B2 publication Critical patent/NZ764631B2/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
    • G01H11/06—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means
    • G01H11/08—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means using piezoelectric devices
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/01—Indexing codes associated with the measuring variable
    • G01N2291/012—Phase angle
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/01—Indexing codes associated with the measuring variable
    • G01N2291/014—Resonance or resonant frequency
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/01—Indexing codes associated with the measuring variable
    • G01N2291/015—Attenuation, scattering
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/021—Gases
    • G01N2291/0215—Mixtures of three or more gases, e.g. air
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/028—Material parameters
    • G01N2291/02845—Humidity, wetness
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/028—Material parameters
    • G01N2291/02863—Electric or magnetic parameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/028—Material parameters
    • G01N2291/02872—Pressure
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00—Indexing codes associated with group G01N29/00
    • G01N2291/02—Indexing codes associated with the analysed material
    • G01N2291/028—Material parameters
    • G01N2291/02881—Temperature
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/02—Analysing fluids
    • G01N29/036—Analysing fluids by measuring frequency or resonance of acoustic waves
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04—Analysing solids
    • G01N29/11—Analysing solids by measuring attenuation of acoustic waves
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/22—Details, e.g. general constructional or apparatus details
    • G01N29/24—Probes
    • G01N29/2462—Probes with waveguides, e.g. SAW devices
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/22—Details, e.g. general constructional or apparatus details
    • G01N29/24—Probes
    • G01N29/2481—Wireless probes, e.g. with transponders or radio links
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R15/00—Details of measuring arrangements of the types provided for in groups G01R17/00 - G01R29/00, G01R33/00 - G01R33/26 or G01R35/00
    • G01R15/14—Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks
    • G01R15/144—Measuring arrangements for voltage not covered by other subgroups of G01R15/14
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R15/00—Details of measuring arrangements of the types provided for in groups G01R17/00 - G01R29/00, G01R33/00 - G01R33/26 or G01R35/00
    • G01R15/14—Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks
    • G01R15/146—Measuring arrangements for current not covered by other subgroups of G01R15/14, e.g. using current dividers, shunts, or measuring a voltage drop
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08—Locating faults in cables, transmission lines, or networks
    • G01R31/088—Aspects of digital computing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/58—Testing of lines, cables or conductors
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/62—Testing of transformers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/74—Testing of fuses
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/35—Utilities, e.g. electricity, gas or water
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y30/00—IoT infrastructure
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control
    • G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N—ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10N39/00—Integrated devices, or assemblies of multiple devices, comprising at least one piezoelectric, electrostrictive or magnetostrictive element covered by groups H10N30/00 – H10N35/00

Abstract

The invention relates generally to a wireless sensor system enabling process control and predictive maintenance, comprising a plurality of Passive Electromagnetic Sensors comprising a passive acoustic wave sensor and a passive microprocessor, wherein said Passive Electromagnetic Sensors are embedded within or attached to a component of a utility grid; and at least one Electromagnetic Controller Communicator comprising a CPU, a transceiver, and a transmitter, installed in a location physically separated from said Passive Electromagnetic Sensors; wherein said Electromagnetic Controller Communicator is configured to activate said Passive Electromagnetic Sensors by emitting Radio-Frequency pulses; receive a modified wave form transmitted from said Passive Electromagnetic Sensors, wherein said modified wave form is based on a phenomenon to be measured; compute said modified wave form into a phenomenon measurement value; process said measurement value to generate phenomenon measurement information, alarms, orders, and mapping information data; map the phenomena data to create a wellness map; compare resulting multidimensional phenomena information to normal and abnormal relational models; and generate alarms and issue commands to other machines to restore wellness of the utility grid in case of matches to abnormal relational models.

Claims (15)

What is claimed is:
1. A wireless sensor system comprising: a. a plurality of Passive Electromagnetic Sensors (48) comprising a passive acoustic wave sensor and a passive microprocessor, wherein said Passive Electromagnetic Sensors (48) are embedded within or attached to a component of transmission or distribution hardware of a transmission or distribution utility grid; b. a plurality of Electromagnetic Controller Communicators comprised of a CPU, a transceiver, and transmitter; wherein said omagnetic Controller Communicators are distributed within said transmission or distribution utility grid to receive computed phenomena data from said Passive Electromagnetic Sensors (48); wherein the omagnetic Controller Communicators are ured to e phenomena and process measurements received from the Passive Electromagnetic Sensors (48); wherein Electromagnetic Controller icators are configured to map the computed phenomena data, which s a wellness map; wherein the Electromagnetic Controller Communicators are configured to compare the resulting multidimensional phenomena information to normal and abnormal relational ; wherein the Electromagnetic Controller Communicators are ured to generate alarms and to issue commands to other machines to restore wellness of the utility grid in case of matches to abnormal relational models.
2. The wireless sensor system of claim 1, further sing c. at least one or a plurality of distributed computing resources, n said distributed computing resource is capable of processing quantities of data and receives data from and uploads information to said omagnetic Controller Communicators; d. at least one supercomputer (65) with artificial igence means, n said supercomputer (65) receives data from said Electromagnetic Controller Communicators and processes said data for preventative and predictive nance of said transmission or distribution grid; and e. at least one or a plurality of user computer (63), wherein the user computer (63) is configured to receive sensor information, alarms, commands, and utility grid wellness maps.
3. The wireless sensor system of claim 1, wherein said Passive Electromagnetic Sensors (48) are attached to or embedded in a component of transmission, or distribution hardware, wherein preferably said Passive Electromagnetic Sensors (48) measure phenomena selected from the following: ical voltage, current, temperature, pressure, humidity, oscillation, tion, molecule flow rates, rainfall, air pollutants, chemical agents, biological agents, nuclear , al concentration, chemical composition, or particulate .
4. The wireless sensor system of claim 3, wherein said component of transmission, or distribution hardware is comprised of an electrical grid delivery component selected from the following: conductor wire, fuses, transformers, es, relays, circuit breakers, bus bars, capacitors, clamps, towers and poles, tors, connectors, couplings, surge ors, stirrups, taps, regulation banks, suppressors, and street light covers.
5. The wireless sensor system of claim 3, where said component of transmission distribution re is comprised of a component of municipality lighting hardware selected from the following: light covers, poles, and building architectural components.
6. The sensor system of any preceding claim, wherein said e microprocessor is further comprised of a power source where said power source is selected from a group comprised of: mechanical vibration, light, radiation, induction, thermal motion, fuel cell, or electromagnetic waves.
7. The sensor system of any preceding claim, wherein said passive microprocessor is further comprised of programming logic means or of thms.
8. The wireless sensor system of claim 1, wherein said Passive Electromagnetic Sensor (48) is flexible or wherein said Passive Electromagnetic Sensor (48) is enclosed in a glass pod (32-35), wherein ably said specialty glass pod is coated on the inside with non-conducting material.
9. The wireless sensor system of any preceding claim, wherein said passive microprocessor is comprised of at least one electromagnetic power harvester (15-22).
10. The wireless sensor system of claim 2, wherein said distributed computing resource is comprised of means of inputting maintenance records of equipment faults, reduction of capacity, and other ous conditions, receiving sensor information, machine to machine orders, and processing inquiries; or wherein said artificial intelligence means is comprised of means of creating correlations between sensor data and equipment faults, reduction of ty, local and inter-area oscillations, and other anomalous conditions and using these newly found correlations to create algorithms of anomalous conditions and sending these algorithms to Electromagnetic Controller Communicators.
11. The wireless sensor system of claim 1, n said Passive Electromagnetic Sensor (48) is further sed of a unique identification within a k of multiple said passive electromagnetic sensors (48).
12. A method of enabling process control and predictive maintenance comprising the following steps: a. Installing a plurality of e Electromagnetic Sensors (48) as a components of a y grid; b. Installing at least one Electromagnetic Controller Communicator in a location physically separated from said Passive Electromagnetic s (48); c. Activating at least one of said Passive Electromagnetic Sensors (48) by receipt of Radio-Frequency pulses from said Electromagnetic ller Communicator; d. whereby said at least one Passive Electromagnetic Sensor (48) harvests electromagnetic impulses and converts said electromagnetic impulses into an Acoustic Wave; e. Modifying said Acoustic Wave to create a modified wave form based on a phenomenon to be measured; and f. Transmitting said modified wave form from said at least one Passive Electromagnetic Sensor (48) to said Electromagnetic Controller Communicator, whereby said onic Controller Communicator computes said modified wave form into a phenomenon measurement value, which tes phenomenon measurement information, alarms, orders, and mapping information data; wherein the Electromagnetic ller Communicator computes phenomena data and processes measurements it receives from the Passive Electromagnetic Sensors (48), wherein said Electromagnetic Controller icator maps the phenomena data, which creates a ss map, n the Electromagnetic Controller Communicator es resulting multidimensional phenomena information to normal and abnormal relational models, and wherein the Electromagnetic ller Communicator generates alarms and issues commands to other machines to restore wellness of the utility grid in case of matches to abnormal relational models.
13. The method of claim 12, further comprising the steps g. Communicating said data by said Electronic Controller icator's communication means to a supercomputer (65), whereby said supercomputer (65) assembles said mapping information data into a comprehensive process control and predictive model; and h. Transmitting said s control and said predictive model to at least one user computer (63).
14. The method of claims 12 or 13, wherein a passive l processing unit processes modified characteristics of said Acoustic wave and computes a value for the phenomenon being measured, wherein preferably said at least one Passive Electromagnetic Sensor (48) transmits said value to said Electromagnetic Controller Communicator by means of an electromagnetic wave.
15. The method of claim 14, wherein said electromagnetic wave is broadcast to said Electromagnetic Controller Communicator using backscatter communication in which the Passive Electromagnetic Sensor (48) sends data back to the Electromagnetic Controller icator as a reflection of the Radio-Frequency pulses. -‘$ 4 -O—I-.-G"EH6 SUBSTITUTE SHEET (RULE 26) much-00m OH 3“ NH mm V3“ 1w. x§§§ ........................................ “
NZ764631A 2018-11-30 Internet of things (iot) enabled wireless sensor system enabling process control, predictive maintenance of electrical distribution networks, liquid and gas pipelines and monitoring of air pollutants including nuclear, chemical, and biological agents using attached and/or embedded passive electromagnetic sensors NZ764631B2 (en)

Applications Claiming Priority (7)

Application Number Priority Date Filing Date Title
US201762592652P 2017-11-30 2017-11-30
US201762596492P 2017-12-08 2017-12-08
US201862624493P 2018-01-31 2018-01-31
US201862626247P 2018-02-05 2018-02-05
US201862655643P 2018-04-10 2018-04-10
US201862655653P 2018-04-10 2018-04-10
PCT/US2018/063394 WO2019108986A1 (en) 2017-11-30 2018-11-30 Internet of things (iot) enabled wireless sensor system enabling process control, predictive maintenance of electrical distribution networks, liquid and gas pipelines and monitoring of air pollutants including nuclear, chemical, and biological agents using attached and/or embedded passive electromagnetic sensors

Publications (2)

Publication Number Publication Date
NZ764631A NZ764631A (en) 2025-10-31
NZ764631B2 true NZ764631B2 (en) 2026-02-03

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