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PE20210695A1 - MENA MONITORING - Google Patents

MENA MONITORING

Info

Publication number
PE20210695A1
PE20210695A1 PE2021000301A PE2021000301A PE20210695A1 PE 20210695 A1 PE20210695 A1 PE 20210695A1 PE 2021000301 A PE2021000301 A PE 2021000301A PE 2021000301 A PE2021000301 A PE 2021000301A PE 20210695 A1 PE20210695 A1 PE 20210695A1
Authority
PE
Peru
Prior art keywords
ore
image
load
data
psd
Prior art date
Application number
PE2021000301A
Other languages
Spanish (es)
Inventor
Adriaan Lodewicus Haasbroek
Simon Jacobus Streicher
Shaun George Irwin
Kristo Botha
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 PE20210695A1 publication Critical patent/PE20210695A1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02—Investigating particle size or size distribution
    • G01N15/0205—Investigating particle size or size distribution by optical means
    • G01N15/0227—Investigating particle size or size distribution by optical means using imaging; using holography
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24—Earth materials
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

Landscapes

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

Abstract

Se describen sistemas y metodos para estimar la magnitud de una carga de mena, determinar la distribucion del tamano de particula (PSD) de la mena, reconocer material extrano en las imagenes de la mena, monitorear la mena y monitorear el equipo de procesamiento de mineral. Se recibe una imagen de un vehiculo de transporte de mena (1012) de un dispositivo de captura de imagenes (1016). Los datos que se relacionan con una carga de mena (1011) en el vehiculo de transporte de mena (1012) se detecta con un escaner (1018). Se calcula una magnitud estimada de la carga de mineral (1011) 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 vehiculo de transporte de mena (1012). Se utiliza un modulo de aprendizaje de maquina para identificar una region de mena en una imagen de mena y reconocer las particulas de mena (1010) u objetos dentro de la imagen. Se calcula un valor PSD de la mena. Se genera un indicador que estima la condicion del equipo de procesamiento de mineral al utilizar el valor PSD y al operar los parametrosSystems and methods are described to estimate the magnitude of an ore load, determine the particle size distribution (PSD) of the ore, recognize foreign material in the images of the ore, monitor the ore, and monitor the mineral processing equipment. . An image of an ore transport vehicle (1012) is received from an image capture device (1016). Data relating to an ore load (1011) on the ore transport vehicle (1012) is detected with a scanner (1018). An estimated magnitude of the ore load (1011) is calculated by accessing the data that relates to the ore load, the image data, and the data that relates to the ore hauling vehicle (1012). A machine learning module is used to identify an ore region in an ore image and recognize ore particles (1010) or objects within the image. A PSD value of the ore is calculated. An indicator is generated that estimates the condition of the mineral processing equipment by using the PSD value and by operating the parameters

PE2021000301A 2018-09-07 2019-09-06 MENA MONITORING PE20210695A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ZA201806000 2018-09-07
PCT/IB2019/057528 WO2020049517A1 (en) 2018-09-07 2019-09-06 Monitoring ore

Publications (1)

Publication Number Publication Date
PE20210695A1 true PE20210695A1 (en) 2021-04-12

Family

ID=69723056

Family Applications (1)

Application Number Title Priority Date Filing Date
PE2021000301A PE20210695A1 (en) 2018-09-07 2019-09-06 MENA MONITORING

Country Status (4)

Country Link
AU (1) AU2019335607B2 (en)
CL (3) CL2021000547A1 (en)
PE (1) PE20210695A1 (en)
WO (1) WO2020049517A1 (en)

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2020404468B2 (en) 2019-12-17 2023-02-23 Motion Metrics International Corp. Apparatus for analyzing a payload being transported in a load carrying container of a vehicle
WO2021214230A1 (en) 2020-04-23 2021-10-28 Gebr. Pfeiffer Se Grinding method and system with material inlet 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
PE20241083A1 (en) * 2021-01-22 2024-05-17 Nexus Mine Pty Ltd SYSTEM AND METHOD FOR MONITORING THE OPERATION OF ONE OR SEVERAL 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
CN114386492A (en) * 2021-12-24 2022-04-22 鞍钢集团矿业有限公司 Method and device for ore classification and particle size classification based on deep learning network
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
JP2023147555A (en) * 2022-03-30 2023-10-13 住友金属鉱山株式会社 Foreign object identification device, learning device, foreign object identification system, foreign object identification method and program
CA3249069A1 (en) * 2022-04-27 2023-11-02 Vermeer Manufacturing Company Productivity monitor in material reduction or separating machine
CN115511806B (en) * 2022-09-16 2026-01-13 煤炭科学研究总院有限公司 Method and device for determining coal amount on scraper conveyor and electronic equipment
US20240168000A1 (en) * 2022-11-21 2024-05-23 Motion Metrics International Corp. Spectral imaging for material characterization and control of systems and methods for processing earthen materials
WO2024173979A1 (en) * 2023-02-21 2024-08-29 NextOre Ltd System and method for the measurement of the mineral and/or elemental content of ore
CN116452823A (en) * 2023-04-18 2023-07-18 西南石油大学 Drilling fluid bubble identification method based on image
CN116612179B (en) * 2023-05-25 2025-12-23 哈尔滨工业大学 Particle size detection methods for sand and gravel mining production
LU103164B1 (en) * 2023-07-03 2025-01-03 thyssenkrupp Polysius GmbH Rough particle size estimation for a bulk material
WO2025008195A1 (en) 2023-07-03 2025-01-09 thyssenkrupp Polysius GmbH Coarse particle size estimation for a bulk material
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
CN118320961A (en) * 2024-04-10 2024-07-12 贵州雷克康纳科技有限责任公司 A blockage detection and automatic crushing processing system based on AI vision
CN118587544B (en) * 2024-06-06 2026-01-20 集美大学 A ore particle size detection system
CN119941835B (en) * 2024-08-22 2026-01-06 北京霍里思特科技有限公司 Methods, apparatus and storage media for locating ore in ore images
CN119861545B (en) * 2024-11-29 2025-10-03 江西铜业集团有限公司 Intelligent control method and system for beneficiation process

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2376580C2 (en) * 2003-05-28 2009-12-20 Би Эм Эллайенс Коул Оперэйшнз Пти Лтд Method and device for determining parametres of particles and working performance of processor in bituminous coal and minerals 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 Procedure and arrangement for controlling an atomization 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
BR112021004248A2 (en) 2021-05-18
AU2019335607B2 (en) 2024-08-15
CL2021003235A1 (en) 2022-08-26
CL2021000547A1 (en) 2021-09-24
WO2020049517A1 (en) 2020-03-12
CL2021003234A1 (en) 2022-08-26
AU2019335607A1 (en) 2021-04-01

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