CL2021003235A1 - Monitoreo de mena (divisional de la solicitud no. 202100547) - Google Patents
Monitoreo de mena (divisional de la solicitud 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
Links
- 238000012544 monitoring process Methods 0.000 title abstract 3
- 239000002245 particle Substances 0.000 abstract 2
- 238000010801 machine learning Methods 0.000 abstract 1
- 239000000463 material Substances 0.000 abstract 1
- 238000000034 method Methods 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- 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
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- 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; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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)
- 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.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
ZA201806000 | 2018-09-07 |
Publications (1)
Publication Number | Publication Date |
---|---|
CL2021003235A1 true CL2021003235A1 (es) | 2022-08-26 |
Family
ID=69723056
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CL2021000547A CL2021000547A1 (es) | 2018-09-07 | 2021-03-05 | Monitoreo de mena |
CL2021003235A CL2021003235A1 (es) | 2018-09-07 | 2021-12-06 | Monitoreo de mena (divisional de la solicitud no. 202100547) |
CL2021003234A CL2021003234A1 (es) | 2018-09-07 | 2021-12-06 | Monitoreo de mena (divisional de la solicitud no. 202100547) |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CL2021000547A CL2021000547A1 (es) | 2018-09-07 | 2021-03-05 | Monitoreo de mena |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CL2021003234A CL2021003234A1 (es) | 2018-09-07 | 2021-12-06 | Monitoreo de mena (divisional de la solicitud no. 202100547) |
Country Status (5)
Country | Link |
---|---|
AU (1) | AU2019335607B2 (es) |
BR (1) | BR112021004248A2 (es) |
CL (3) | CL2021000547A1 (es) |
PE (1) | PE20210695A1 (es) |
WO (1) | WO2020049517A1 (es) |
Families Citing this family (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 (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 |
WO2023212021A1 (en) * | 2022-04-27 | 2023-11-02 | Vermeer Manufacturing Company | Productivity monitor in material reduction or separating machine |
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 |
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 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2004106897A1 (en) * | 2003-05-28 | 2004-12-09 | Bm Alliance Coal Operations Pty Ltd | Method and apparatus for determining particle parameter and processor performance in a coal and mineral processing system |
RU2282176C1 (ru) * | 2005-03-14 | 2006-08-20 | Общество с ограниченной ответственностью Фирма "ДАТА-ЦЕНТР" (ООО Фирма "ДАТА-ЦЕНТР") | Способ определения гранулометрического состава смеси частиц произвольной формы |
CL2009001924A1 (es) * | 2009-09-30 | 2010-06-25 | Tecnologia Integral S A | Un sistema y metodo para detectar piezas metalicas ocultas dentro de una carga de mineral, directamente en un medio de transporte hacia un chancador primario. |
FI20155909A (fi) * | 2015-12-01 | 2017-06-02 | Outotec Finland Oy | Menetelmä ja järjestely hienonnusprosessin ohjaamiseksi |
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 |
-
2019
- 2019-09-06 WO PCT/IB2019/057528 patent/WO2020049517A1/en active Application Filing
- 2019-09-06 PE PE2021000301A patent/PE20210695A1/es unknown
- 2019-09-06 BR BR112021004248-2A patent/BR112021004248A2/pt unknown
- 2019-09-06 AU AU2019335607A patent/AU2019335607B2/en active Active
-
2021
- 2021-03-05 CL CL2021000547A patent/CL2021000547A1/es unknown
- 2021-12-06 CL CL2021003235A patent/CL2021003235A1/es unknown
- 2021-12-06 CL CL2021003234A patent/CL2021003234A1/es unknown
Also Published As
Publication number | Publication date |
---|---|
BR112021004248A2 (pt) | 2021-05-18 |
AU2019335607B2 (en) | 2024-08-15 |
PE20210695A1 (es) | 2021-04-12 |
WO2020049517A1 (en) | 2020-03-12 |
CL2021000547A1 (es) | 2021-09-24 |
CL2021003234A1 (es) | 2022-08-26 |
AU2019335607A1 (en) | 2021-04-01 |
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