MX2023008940A - Sistema y metodo de deteccion de desgaste y perdida de herramientas de contacto con el suelo. - Google Patents

Sistema y metodo de deteccion de desgaste y perdida de herramientas de contacto con el suelo.

Info

Publication number
MX2023008940A
MX2023008940A MX2023008940A MX2023008940A MX2023008940A MX 2023008940 A MX2023008940 A MX 2023008940A MX 2023008940 A MX2023008940 A MX 2023008940A MX 2023008940 A MX2023008940 A MX 2023008940A MX 2023008940 A MX2023008940 A MX 2023008940A
Authority
MX
Mexico
Prior art keywords
interest
image
region
ground engaging
detection system
Prior art date
Application number
MX2023008940A
Other languages
English (en)
Inventor
John M Plouzek
Lawrence A Mianzo
Tod A Oblak
Shawn Nainan Mathew
Raymond Alan Wise
Original Assignee
Caterpillar Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Caterpillar Inc filed Critical Caterpillar Inc
Publication of MX2023008940A publication Critical patent/MX2023008940A/es

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E02HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02FDREDGING; SOIL-SHIFTING
    • E02F9/00Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
    • E02F9/26Indicating devices
    • E02F9/267Diagnosing or detecting failure of vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]
    • EFIXED CONSTRUCTIONS
    • E02HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02FDREDGING; SOIL-SHIFTING
    • E02F9/00Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
    • E02F9/28Small metalwork for digging elements, e.g. teeth scraper bits
    • E02F9/2808Teeth
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/513Sparse representations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/64Three-dimensional objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07Target detection

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Mining & Mineral Resources (AREA)
  • Structural Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Civil Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Image Analysis (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Earth Drilling (AREA)
  • Braking Arrangements (AREA)

Abstract

Un sistema de detección de desgaste de ejemplo (110) recibe una imagen izquierda (510) y una imagen derecha (520) de un cucharón (120) de una máquina de trabajo (100) que tiene al menos una herramienta de contacto con el suelo (GET) (125). El sistema de ejemplo identifica una primera región de interés (550) de la imagen izquierda correspondiente a la GET y una segunda región de interés (560) de la imagen derecha correspondiente a la GET. El sistema de ejemplo también genera una imagen digital del borde izquierdo (740) correspondiente a la primera región de interés y una imagen digital del borde derecho (750) correspondiente a la segunda región de interés. Además, el sistema de ejemplo determina una disparidad estéreo dispersa (760) entre la imagen digital del borde izquierdo y la imagen digital del borde derecho, determina los datos de medición relacionados con la GET y también determina un nivel de desgaste o pérdida para al menos una GET en función de los datos de medición.
MX2023008940A 2021-02-09 2022-01-25 Sistema y metodo de deteccion de desgaste y perdida de herramientas de contacto con el suelo. MX2023008940A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US17/171,569 US11821177B2 (en) 2021-02-09 2021-02-09 Ground engaging tool wear and loss detection system and method
PCT/US2022/013639 WO2022173586A1 (en) 2021-02-09 2022-01-25 Ground engaging tool wear and loss detection system and method

Publications (1)

Publication Number Publication Date
MX2023008940A true MX2023008940A (es) 2023-08-11

Family

ID=80787014

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023008940A MX2023008940A (es) 2021-02-09 2022-01-25 Sistema y metodo de deteccion de desgaste y perdida de herramientas de contacto con el suelo.

Country Status (9)

Country Link
US (1) US11821177B2 (es)
EP (1) EP4292054A1 (es)
JP (1) JP2024507090A (es)
CN (1) CN116830160A (es)
AU (1) AU2022219034A1 (es)
CA (1) CA3206445A1 (es)
CL (1) CL2023002283A1 (es)
MX (1) MX2023008940A (es)
WO (1) WO2022173586A1 (es)

Family Cites Families (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2546758C (en) 2006-05-12 2009-07-07 Alberta Research Council Inc. A system and a method for detecting a damaged or missing machine part
US20150085123A1 (en) * 2013-09-23 2015-03-26 Motion Metrics International Corp. Method and apparatus for monitoring a condition of an operating implement in heavy loading equipment
AU2014262221C1 (en) 2013-11-25 2021-06-10 Esco Group Llc Wear part monitoring
PE20210227A1 (es) 2015-02-13 2021-02-05 Esco Group Llc Monitoreo de productos de acondicionamiento del terreno para equipo de trabajo de movimiento de tierra
WO2016183661A1 (en) 2015-05-15 2016-11-24 Motion Metrics International Corp Method and apparatus for locating a wear part in an image of an operating implement
US20170103506A1 (en) 2015-10-09 2017-04-13 Caterpillar Inc. Component health monitoring system using computer vision
US9886754B2 (en) 2016-04-05 2018-02-06 General Electric Company System and method for detecting missing tooth in mining shovel
US20170352199A1 (en) 2016-06-01 2017-12-07 Esco Corporation Ground engaging tool management
US20170051474A1 (en) 2016-11-04 2017-02-23 Caterpillar Inc. Path detection for ground engaging teeth
US10249060B2 (en) 2016-12-14 2019-04-02 Caterpillar Inc. Tool erosion detecting system using augmented reality
CN106592679A (zh) 2016-12-22 2017-04-26 武汉理工大学 一种铲车铲齿脱落预警装置和方法
CA3005183A1 (en) 2017-05-30 2018-11-30 Joy Global Surface Mining Inc Predictive replacement for heavy machinery
CN107862675A (zh) 2017-09-25 2018-03-30 中北大学 一种用于电铲斗齿缺失的实时视觉检测方法
EP4307174A3 (en) 2018-06-01 2024-04-17 Motion Metrics International Corp. Method, apparatus and system for monitoring a condition associated with operating heavy equipment such as a mining shovel or excavator
US11447931B2 (en) 2019-05-15 2022-09-20 Caterpillar Inc. Ground engaging tool monitoring system
US11466984B2 (en) 2019-05-15 2022-10-11 Caterpillar Inc. Bucket get monitoring system
AU2020285370A1 (en) 2019-05-31 2021-12-02 Cqms Pty Ltd Ground engaging tool monitoring system
CA3143593A1 (en) 2019-06-17 2020-12-24 Esco Group Llc Monitoring ground engaging products
US11138718B2 (en) 2019-08-09 2021-10-05 Caterpillar Inc. Methods and systems for determining part wear using a bounding model
CN114340997A (zh) 2019-08-30 2022-04-12 爱斯科集团有限责任公司 监测用于土工设备的地面接合工具、系统和方法

Also Published As

Publication number Publication date
AU2022219034A1 (en) 2023-09-07
CA3206445A1 (en) 2022-08-18
WO2022173586A1 (en) 2022-08-18
EP4292054A1 (en) 2023-12-20
JP2024507090A (ja) 2024-02-16
CL2023002283A1 (es) 2024-02-16
US11821177B2 (en) 2023-11-21
US20220251807A1 (en) 2022-08-11
CN116830160A (zh) 2023-09-29

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