CL2021003235A1 - Ore monitoring (divisional from application no. 202100547) - Google Patents

Ore monitoring (divisional from application no. 202100547)

Info

Publication number
CL2021003235A1
CL2021003235A1 CL2021003235A CL2021003235A CL2021003235A1 CL 2021003235 A1 CL2021003235 A1 CL 2021003235A1 CL 2021003235 A CL2021003235 A CL 2021003235A CL 2021003235 A CL2021003235 A CL 2021003235A CL 2021003235 A1 CL2021003235 A1 CL 2021003235A1
Authority
CL
Chile
Prior art keywords
ore
image
load
transport vehicle
data relating
Prior art date
Application number
CL2021003235A
Other languages
Spanish (es)
Inventor
Adriaan Lodewicus Haasbroek
Shaun George Irwin
Kristo Botha
Simon Jacobus Streicher
Original Assignee
Stone Three Digital Pty Ltd
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 Stone Three Digital Pty Ltd filed Critical Stone Three Digital Pty Ltd
Publication of CL2021003235A1 publication Critical patent/CL2021003235A1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02Investigating particle size or size distribution
    • G01N15/0205Investigating particle size or size distribution by optical means
    • G01N15/0227Investigating particle size or size distribution by optical means using imaging; using holography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24Earth materials
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10028Range image; Depth image; 3D point clouds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Analytical Chemistry (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Quality & Reliability (AREA)
  • Geometry (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Remote Sensing (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • Dispersion Chemistry (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

Se describen sistemas y métodos para estimar la magnitud de una carga de mena, determinar la distribución del tamaño de partícula (PSD) de la mena, reconocer material extraño en las imágenes de la mena, monitorear la mena y monitorear el equipo de procesamiento de mineral. Se recibe una imagen de un vehículo de transporte de mena de un dispositivo de captura de imágenes. Los datos que se relacionan con una carga de mena en el vehículo de transporte de mena se detectan con un escáner. Se calcula una magnitud estimada de la carga de mena al acceder a los datos que se relacionan con la carga de mena, los datos de la imagen y los datos que se relacionan con el vehículo de transporte de mena. Se utiliza un módulo de aprendizaje de máquina para identificar una región de mena en una imagen de mena y reconocer las partículas de mena u objetos dentro de la imagen. Se calcula un valor PSD de la mena. Se genera un indicador que estima la condición del equipo de procesamiento de mineral al utilizar el valor PSD y al operar los parámetros.Systems and methods are described for estimating the magnitude of an ore load, determining the particle size distribution (PSD) of the ore, recognizing foreign material in ore images, monitoring the ore, and monitoring ore processing equipment. . An image of an ore transport vehicle is received from an image capture device. Data relating to an ore load on the ore transport vehicle is detected by a scanner. An estimated magnitude of the ore load is calculated by accessing data relating to the ore load, image data and data relating to the ore transport vehicle. A machine learning module is used to identify an ore region in an ore image and recognize the ore particles or objects within the image. A PSD value of the ore is calculated. An indicator is generated that estimates the condition of the ore processing equipment by using the PSD value and operating parameters.

CL2021003235A 2018-09-07 2021-12-06 Ore monitoring (divisional from application no. 202100547) CL2021003235A1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
ZA201806000 2018-09-07

Publications (1)

Publication Number Publication Date
CL2021003235A1 true CL2021003235A1 (en) 2022-08-26

Family

ID=69723056

Family Applications (3)

Application Number Title Priority Date Filing Date
CL2021000547A CL2021000547A1 (en) 2018-09-07 2021-03-05 Ore monitoring
CL2021003235A CL2021003235A1 (en) 2018-09-07 2021-12-06 Ore monitoring (divisional from application no. 202100547)
CL2021003234A CL2021003234A1 (en) 2018-09-07 2021-12-06 Ore monitoring (divisional from application no. 202100547)

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CL2021000547A CL2021000547A1 (en) 2018-09-07 2021-03-05 Ore monitoring

Family Applications After (1)

Application Number Title Priority Date Filing Date
CL2021003234A CL2021003234A1 (en) 2018-09-07 2021-12-06 Ore monitoring (divisional from application no. 202100547)

Country Status (5)

Country Link
AU (1) AU2019335607A1 (en)
BR (1) BR112021004248A2 (en)
CL (3) CL2021000547A1 (en)
PE (1) PE20210695A1 (en)
WO (1) WO2020049517A1 (en)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3965940B1 (en) 2020-04-23 2023-08-16 Gebr. Pfeiffer SE Grinding method and apparatus with material entry detection
AT523755A2 (en) * 2020-05-13 2021-11-15 Rubble Master Hmh Gmbh Method for determining the grain size distribution in sections of a bulk material placed on a conveyor belt
AT523806B1 (en) * 2020-05-13 2022-09-15 Rubble Master Hmh Gmbh Process for cleaning off crushed grain in crushers
CN111680268B (en) * 2020-06-11 2023-05-23 重庆邮电大学 Multi-granularity coal mine gas risk prediction method based on cloud model
CN111812671A (en) * 2020-06-24 2020-10-23 北京佳力诚义科技有限公司 Artificial intelligence ore recognition device and method based on laser imaging
CN112232449B (en) * 2020-12-14 2021-04-27 浙江大华技术股份有限公司 Neural network training method, electronic device, and storage medium
CN112614139B (en) * 2020-12-17 2022-09-16 武汉工程大学 Conveyor belt ore briquette screening method based on depth map
CN112785557A (en) * 2020-12-31 2021-05-11 神华黄骅港务有限责任公司 Belt material flow detection method and device and belt material flow detection system
WO2022155701A1 (en) * 2021-01-22 2022-07-28 Nexus Mine Pty Ltd System and method for monitoring the operation of one or more trucks
WO2023000023A1 (en) * 2021-07-19 2023-01-26 Transcale Pty Ltd System and method for determining fragmentation
CN113702254B (en) * 2021-08-30 2023-09-26 云南阿姆德电气工程有限公司 Device and method for automatically detecting ore fraction of beneficiation ore
CN114359372A (en) * 2022-01-05 2022-04-15 山东工大中能科技有限公司 Mine car load capacity detection method, system and device based on computer vision
WO2023212021A1 (en) * 2022-04-27 2023-11-02 Vermeer Manufacturing Company Productivity monitor in material reduction or separating machine
WO2024112827A1 (en) * 2022-11-21 2024-05-30 Motion Metrics International Corp. Spectral imaging for material characterization and control of systems and methods for processing earthen materials
CN116664553B (en) * 2023-07-26 2023-10-20 天津矿山工程有限公司 Explosion drilling method, device, equipment and medium based on artificial intelligence

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7542873B2 (en) * 2003-05-28 2009-06-02 Bm Alliance Coal Operations Pty Ltd Method and apparatus for determining particle parameter and processor performance in a coal and mineral processing system
RU2282176C1 (en) * 2005-03-14 2006-08-20 Общество с ограниченной ответственностью Фирма "ДАТА-ЦЕНТР" (ООО Фирма "ДАТА-ЦЕНТР") Method of determining granulometric composition of mixture of arbitrary shaped particles
CL2009001924A1 (en) * 2009-09-30 2010-06-25 Tecnologia Integral S A A system and method to detect hidden metal parts within a mineral load, directly in a means of transport to a primary crusher.
FI20155909A (en) * 2015-12-01 2017-06-02 Outotec Finland Oy Method and arrangement for controlling the comminution process
GB2559964A (en) * 2017-02-16 2018-08-29 Her Majesty In Right Of Canada As Represented By The Mini Of Natural Resources Methods for measuring properties of rock pieces

Also Published As

Publication number Publication date
AU2019335607A1 (en) 2021-04-01
BR112021004248A2 (en) 2021-05-18
WO2020049517A1 (en) 2020-03-12
PE20210695A1 (en) 2021-04-12
CL2021003234A1 (en) 2022-08-26
CL2021000547A1 (en) 2021-09-24

Similar Documents

Publication Publication Date Title
CL2021003235A1 (en) Ore monitoring (divisional from application no. 202100547)
CN108921159B (en) Method and device for detecting wearing condition of safety helmet
CA3027899C (en) Ground plane detection for placement of augmented reality objects
EP2713310A3 (en) System and method for detection and tracking of moving objects
MY171987A (en) Method, computer system and apparatus for recipe generation for automated inspection of semiconductor devices
US10739226B2 (en) Gas leak position estimation device, gas leak position estimation method and gas leak position estimation program
SG10201706752XA (en) Systems and methods for analyzing cutaneous conditions
SG11201901599QA (en) Monitoring device
WO2016106383A3 (en) First-person camera based visual context aware system
SG10201903148WA (en) Repeater detection
MX2018004891A (en) Display control method and display control device.
WO2018148628A8 (en) Detection of risky objects in image frames
MX2018004708A (en) Parking space line detection method and device.
MX2020014325A (en) Systems and methods for determining potential malicious event.
JP2019114821A (en) Monitoring system, device, method, and program
Tripathi et al. A framework for abandoned object detection from video surveillance
CL2016001338A1 (en) Method and device for automatic diagnosis of failures for sorting machines.
MY193637A (en) System for real-time moving target detection using vision based image segmentation
GB2496266A (en) Improved abandoned object recognition using pedestrian detection
Santur et al. IMU based adaptive blur removal approach using image processing for railway inspection
RU2013104895A (en) PROCESSOR OF IMAGES WITH FUNCTIONALITY OF CHOICE OF CIRCUITS
MX2021015343A (en) Method and system for determining a refraction feature of an eye of a subject using an image-capture device.
CL2023003475A1 (en) Ground application tool wear and loss detection system and method
JP2015187832A5 (en)
GB2611452A8 (en) Systems and methods for creating and/or analyzing three-dimensional models of infrastructure assets