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PE20210695A1 - Monitoreo de mena - Google Patents

Monitoreo de mena

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
English (en)
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/es

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 parametros
PE2021000301A 2018-09-07 2019-09-06 Monitoreo de mena PE20210695A1 (es)

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 (es) 2021-04-12

Family

ID=69723056

Family Applications (1)

Application Number Title Priority Date Filing Date
PE2021000301A PE20210695A1 (es) 2018-09-07 2019-09-06 Monitoreo de mena

Country Status (4)

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

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WO2021214230A1 (de) 2020-04-23 2021-10-28 Gebr. Pfeiffer Se Mahlverfahren und -anlage mit materialeingangserkennung
AT523806B1 (de) * 2020-05-13 2022-09-15 Rubble Master Hmh Gmbh Verfahren zur Klemmkornabreinigung bei Brechern
AT523755A2 (de) * 2020-05-13 2021-11-15 Rubble Master Hmh Gmbh Verfahren zum abschnittsweisen Bestimmen der Korngrößenverteilung eines auf ein Förderband aufgegebenen Schüttgutes
CN111680268B (zh) * 2020-06-11 2023-05-23 重庆邮电大学 一种基于云模型的多粒度煤矿瓦斯风险预测方法
CN111812671A (zh) * 2020-06-24 2020-10-23 北京佳力诚义科技有限公司 基于激光成像的人工智能矿石识别装置和方法
CN112232449B (zh) * 2020-12-14 2021-04-27 浙江大华技术股份有限公司 神经网络的训练方法、电子设备及存储介质
CN112614139B (zh) * 2020-12-17 2022-09-16 武汉工程大学 基于深度图的运输带矿石团块筛选方法
CN112785557A (zh) * 2020-12-31 2021-05-11 神华黄骅港务有限责任公司 皮带料流检测方法及装置、皮带料流检测系统
PE20241083A1 (es) * 2021-01-22 2024-05-17 Nexus Mine Pty Ltd Sistema y metodo para monitoreo del funcionamiento de uno o varios camiones
WO2023000023A1 (en) * 2021-07-19 2023-01-26 Transcale Pty Ltd System and method for determining fragmentation
CN113702254B (zh) * 2021-08-30 2023-09-26 云南阿姆德电气工程有限公司 一种自动检测选矿矿石粒级的设备及方法
CN114386492A (zh) * 2021-12-24 2022-04-22 鞍钢集团矿业有限公司 基于深度学习网络的矿石分类和粒度分级方法及装置
CN114359372A (zh) * 2022-01-05 2022-04-15 山东工大中能科技有限公司 基于计算机视觉的矿车装载量检测方法、系统及装置
JP2023147555A (ja) * 2022-03-30 2023-10-13 住友金属鉱山株式会社 異物識別装置、学習装置、異物識別システム、異物識別方法およびプログラム
EP4514541A1 (en) * 2022-04-27 2025-03-05 Vermeer Manufacturing Company Productivity monitor in material reduction or separating machine
CN115511806B (zh) * 2022-09-16 2026-01-13 煤炭科学研究总院有限公司 刮板输送机上的煤量确定方法、装置及电子设备
AU2023385978A1 (en) * 2022-11-21 2025-06-26 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 (zh) * 2023-04-18 2023-07-18 西南石油大学 一种基于图像的钻井液气泡识别方法
CN116612179B (zh) * 2023-05-25 2025-12-23 哈尔滨工业大学 面向砂石矿山生产的粒径检测方法
WO2025008195A1 (de) 2023-07-03 2025-01-09 thyssenkrupp Polysius GmbH GROBE PARTIKELGRÖßENABSCHÄTZUNG BEI EINEM SCHÜTTGUT
LU103164B1 (de) * 2023-07-03 2025-01-03 thyssenkrupp Polysius GmbH Grobe Partikelgrößenabschätzung bei einem Schüttgut
CN116664553B (zh) * 2023-07-26 2023-10-20 天津矿山工程有限公司 一种基于人工智能的爆破钻孔方法、装置、设备及介质
CN118320961A (zh) * 2024-04-10 2024-07-12 贵州雷克康纳科技有限责任公司 一种基于ai视觉的堵塞检测及自动破碎处理系统
CN118587544B (zh) * 2024-06-06 2026-01-20 集美大学 一种矿石粒度检测系统
CN119941835B (zh) * 2024-08-22 2026-01-06 北京霍里思特科技有限公司 用于矿石图像中定位矿石的方法、设备及存储介质
CN119861545B (zh) * 2024-11-29 2025-10-03 江西铜业集团有限公司 一种选矿过程的智能控制方法及系统

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Also Published As

Publication number Publication date
CL2021003235A1 (es) 2022-08-26
WO2020049517A1 (en) 2020-03-12
AU2019335607B2 (en) 2024-08-15
CL2021000547A1 (es) 2021-09-24
CL2021003234A1 (es) 2022-08-26
BR112021004248A2 (pt) 2021-05-18
AU2019335607A1 (en) 2021-04-01

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