# US 10,768,596 B2 · Methods and systems for the industrial internet of things

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- Number: US 10,768,596 B2
- Document ID: US10768596B2
- Status: Granted
- Kind: B2
- Application number: 16/274,909
- Filed: 2019-02-13
- Published: 2019-06-20
- Granted: 2020-09-08
- Earliest claimed: 2016-05-09
- Assignees: Strong Force IOT Portfolio 2016, LLC
- Applicants: Strong Force IOT Portfolio 2016, LLC
- Inventors: Charles Howard Cella; Gerald William Duffy, Jr.; Jeffrey P. McGuckin
- Web page: https://patentgrep.com/patent/US10768596B2

## CPC

- G05B 19/0425: {Safety, monitoring}
- G01H 1/00: Measuring {characteristics of} vibrations in solids by using direct conduction to the detector (G01H9/00, G01H11/00 take precedence)
- G05B 11/32: with inputs from more than one sensing element; with outputs to more than one correcting element
- G05B 19/0423: {Input/output}
- G05B 19/418: Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B 19/4183: {characterised by data acquisition, e.g. workpiece identification}
- G05B 19/4185: {characterised by the network communication}
- G05B 23/0283: {Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] (preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06)}
- G06F 3/0488: using a touch-screen or digitiser, e.g. input of commands through traced gestures
- G06N 3/02: Neural networks
- G06N 3/0427
- G06N 3/08: Learning methods
- G06N 5/047: Pattern matching networks; Rete networks
- G06N 20/00: Machine learning
- H04L 67/10: in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46)
- H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L 67/125: involving control of end-device applications over a network
- H04Q 9/00: 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
- H04W 4/38: for collecting sensor information
- H04W 84/18: Self-organising networks, e.g. ad-hoc networks or sensor networks
- G01M 13/028: Acoustic or vibration analysis
- G01M 13/045: Acoustic or vibration analysis
- G05B 19/042: using digital processors (G05B19/05 takes precedence)
- G05B 2219/23253: Expert system
- G05B 2219/23258: GUI graphical user interface, icon, function bloc editor, labview
- G05B 2219/24015: Monitoring
- G05B 2219/25174: Ethernet
- G05B 2219/25255: Neural network
- G05B 2219/25268: PLD programmable logic device
- G05B 2219/31156: Network structure, internet
- G05B 2219/31282: Data acquisition, BDE MDE
- G05B 2219/33333: Network multiprocessing
- H04Q 2209/20: using a distributed architecture
- H04Q 2209/40: using a wireless architecture
- H04W 84/20: Leader-follower arrangements
- Y02P 80/114
- Y02P 90/02: Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- G01H: MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- H04Q: SELECTING (switches, relays, selectors H01H; wireless communication networks H04W)
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- G01M: TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS

## Abstract

The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

## Claims

### Claim 1

A system for data collection, processing, and utilization of signals from at least a first element in a first machine in an industrial environment, the system comprising:
a platform including a computing environment connected to a local data collection system having at least a first sensor signal and a second sensor signal obtained from at least the first machine in the industrial environment;
a first sensor in the local data collection system configured to be connected to the first machine;
a second sensor in the local data collection system; and
a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor, wherein the multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output, wherein each of multiple inputs is configured to be individually assigned to any of the multiple outputs, wherein the local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located,
wherein the platform includes cloud-based, machine pattern analysis of state information from multiple sensors to provide anticipated state information for the industrial environment, and
wherein the local data collection system includes a wearable haptic user interface for an industrial sensor data collector with at least one of vibration, heat, electrical, and sound outputs.

### Claim 2 (depends on 1)

The system of claim 1 wherein the local data collection system is configured to manage data collection bands.

### Claim 3 (depends on 2)

The system of claim 2 wherein the data collection bands define a specific frequency band and at least one of a group of spectral peaks, a true-peak level, a crest factor derived from a time waveform, and an overall waveform derived from a vibration envelope.

### Claim 4 (depends on 1)

The system of claim 1 wherein the local data collection system is configured to create data acquisition routes based on hierarchical templates that each include the data collection bands related to machines associated with the data acquisition routes and wherein at least one of the hierarchical templates is associated with multiple interconnected elements of the first machine.

### Claim 5 (depends on 1)

The system of claim 1 wherein the local data collection system is configured to create data acquisition routes based on hierarchical templates that each include the data collection bands related to machines associated with the data acquisition routes and wherein at least one of the hierarchical templates is associated with similar elements associated with at least the first machine and a second machine.

### Claim 6 (depends on 1)

The system of claim 1 wherein the local data collection system is configured to create data acquisition routes based on hierarchical templates that each include the data collection bands related to machines associated with the data acquisition routes and wherein at least one of the hierarchical templates is associated with at least the first machine being proximate in location to a second machine.

### Claim 7 (depends on 1)

The system of claim 1 wherein the local data collection system includes a graphical user interface system configured to manage the data collection bands and wherein the graphical user interface system includes an expert system diagnostic tool.

### Claim 8 (depends on 1)

The system of claim 1 wherein multiple inputs of the crosspoint switch include a third input connected to the second sensor and a fourth input connected to the second sensor, and wherein the first sensor signal is from a single-axis sensor at an unchanging location associated with the first machine.

### Claim 9 (depends on 8)

The system of claim 8 wherein the second sensor is a three-axis sensor.

### Claim 10 (depends on 9)

The system of claim 9 wherein the local data collection system is configured to record gap-free digital waveform data simultaneously from at least the first input, the second input, the third input, and the fourth input.

### Claim 11 (depends on 10)

The system of claim 10 wherein the platform is configured to determine a change in relative phase based on the simultaneously recorded gap-free digital waveform data.

### Claim 12 (depends on 11)

The system of claim 11 wherein the simultaneously recorded gap-free digital waveform data has a duration that is in excess of one minute.

### Claim 13 (depends on 10)

The system of claim 10 wherein the second sensor is configured to be movable to a plurality of positions associated with the first machine while obtaining the simultaneously recorded gap-free digital waveform data.

### Claim 14 (depends on 10)

The system of claim 10 wherein multiple outputs of the crosspoint switch include a third output and fourth output, and wherein the second, third, and fourth outputs are assigned together to a sequence of tri-axial sensors each located at different positions associated with the machine.

### Claim 15 (depends on 14)

The system of claim 14 wherein tri-axial sensors in the sequence of the tri-axial sensors are each located at different positions on the first machine but are each associated with different bearings in the machine.

### Claim 16 (depends on 14)

The system of claim 14 wherein tri-axial sensors in the sequence of the tri-axial sensors are each located at similar positions associated with similar bearings but are each associated with different machines.

### Claim 17 (depends on 10)

The system of claim 10 wherein the platform is configured to determine an operating deflection shape based on the change in relative phase and the simultaneously recorded gap-free digital waveform data.

### Claim 18 (depends on 10)

The system of claim 10 wherein the local data collection system is configured to obtain the simultaneously recorded gap-free digital waveform data from the first machine while the first machine and a second machine are both in operation.

### Claim 19 (depends on 18)

The system of claim 18 wherein the local data collection system is configured to characterize a contribution from the first machine and the second machine in the simultaneously recorded gap-free digital waveform data from the first machine.

### Claim 20 (depends on 9)

The system of claim 9 wherein the unchanging location is a position associated with rotating shaft of the first machine.
