Monitoring system employing smart gloves to analyze operator fabrication activities

Patent metadata

Field	Value
Publication number	US-12558746-B2
Application number	US-202318104418-A
Country	US
Kind code	B2
Filing date	Feb 1, 2023
Priority date	Aug 12, 2020
Publication date	Feb 24, 2026
Grant date	Feb 24, 2026

Abstract

A method and apparatus includes a monitor in communication with, e.g., a work glove with built-in sensors to track an operator's physical activities including intermittently using hand tools, hand motion, and position or location in a work area. The sensors provide time-series data representative of the activities, and the monitor classifies and sequences the activities based on the time-series data along with, optionally, machine tool operational data. The classified and sequenced activities may then compared to instructed work procedures, ensuring correct work materials are used in production, and ensuring an operator's safety by detecting unsafe or abnormal work conditions.

First claim

What is claimed is:

1 . A manually operated machine tool operations activity monitor system, comprising:
personal protective equipment (PPE) configured to be worn by an operator; sensors, incorporated into the PPE and configured to capture time-series data representative of activity performed with the PPE; and a processor to receive and analyze the time-series data, and classify the activity performed with the PPE based on the time-series data, wherein the processor is configured to execute distance or interval-based machine learning algorithms on the time-series data using at least one of a convolutional neural networks (CNN), or a recurrent neural networks (RNN).

2 . The system of claim 1 , further comprising tool sensors to sense operating conditions of at least one machine tool, wherein the processor is configured to analyze the operating conditions in combination with the time-series data.

3 . The system of claim 2 , wherein the at least one machine tool comprises welding, cutting, or metal fabrication equipment.

4 . The system of claim 2 , wherein the processor evaluates an activity state of the PPE and an on/off state of the at least one machine tool based on the time-series data and the operating conditions.

5 . The system of claim 1 , wherein the sensors comprise at least one of a motion sensor, position sensor, an acoustic emission sensor, a force sensor, a temperature sensor, or an optical sensor.

6 . The system of claim 5 , wherein the optical sensor comprises a barcode scanner or a QR code scanner.

7 . The system of claim 1 , wherein the time-series data includes at least one of motion or location data related to the activity performed with the PPE.

8 . The system of claim 1 , further comprising an ID badge, configured to be worn by the operator, the ID badge comprising additional sensors configured to capture additional time-series data representative of activity performed by the operator.

9 . The system of claim 1 , wherein the processor is configured to sequence physical activities of the operator in production or manufacturing routines based on the time-series data.

10 . The system of claim 1 , wherein the PPE is at least one of an industrial glove, a helmet, safety glasses, a respirator, clothing, or footwear.

11 . The system of claim 1 , wherein the sensors comprise at least one of an inertial measurement unit (IMU) sensor, an accelerometer, a gyroscope, or a wireless IMU (WIMU).

12 . The system of claim 1 , wherein the PPE comprises a near-field communication (NFC) scanner or a radio frequency identification (RFID) reader to identify hand tools or work material, or to locate a physical location of the operator in a work cell.

13 . The system of claim 1 , wherein the PPE comprises a human-machine interface (HMI) element including at least one of a vibrator, a buzzer or speaker, a light emitting diode (LED), or a liquid crystal display (LCD).

14 . The system of claim 1 , wherein the processor is configured, based on the time-series data, to detect unsafe operator behavior or an unsafe work condition, to generate a corresponding alert or warning, or to shut down a machine tool being used by the operator.

15 . A manually operated machine tool operations activity monitor system, comprising:
personal protective equipment (PPE) configured to be worn by an operator; sensors, incorporated into the PPE and configured to capture time-series data representative of activity performed with the PPE; and a processor to receive and analyze the time-series data, and classify the activity performed with the PPE based on the time-series data, wherein the PPE comprises a wireless transmission device configured to communicate with the processor to track a location of the operator within a work cell by proximity of the PPE to designated radio tags/readers installed in different zones inside the work cell.

16 . The system of claim 15 , wherein the PPE is at least one of an industrial glove, a helmet, safety glasses, a respirator, clothing, or footwear.

17 . The system of claim 15 , wherein a manually operated machine tool that is monitored by the manually operated machine tool operations activity monitor system comprises welding, cutting, or metal fabrication equipment.

18 . A method, comprising:
receiving time-series data from a sensor incorporated into personal protective equipment (PPE) worn by an operator, the time-series data being representative of activity performed with the PPE; analyzing the time-series data; classifying the activity performed with the PPE based on the time-series data; receiving data representative of operating conditions of at least one machine tool; and performing the classifying also based on the operating conditions.

19 . The method of claim 18 , wherein the at least one machine tool comprises welding, cutting, or metal fabrication equipment.

20 . The method of claim 18 , wherein the PPE is at least one of an industrial glove, a helmet, safety glasses, a respirator, clothing, or footwear.

Assignees

• Esab Group Inc

Inventors

• Hsu Christopher

Classifications

• Y02P90/02

  Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] · CPC title

• G07C1/00

  Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people (registering or indicating the working of machines or vehicles G07C3/00, G07C5/00) · CPC title

• G05B19/409

  characterised by using manual data input [MDI] or by using control panel, e.g. controlling functions with the panel; characterised by control panel details or by setting parameters (G05B19/408, G05B19/4093 take precedence) · CPC title

• G06Q10/06395

  Quality analysis or management · CPC title

• G05B2219/32148

  Enter correction data at a station, also transmitted to all downstream stations · CPC title