PE20210695A1 - MENA MONITORING - Google Patents
MENA MONITORINGInfo
- 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
Links
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, e.g. by light scattering, diffraction, holography or imaging
- G01N15/0227—Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging using imaging, e.g. a projected image of suspension; 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
-
- 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
-
- 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]
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
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 (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 (12)
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 |
AT523806B1 (en) * | 2020-05-13 | 2022-09-15 | Rubble Master Hmh Gmbh | Process for cleaning off crushed grain in crushers |
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 |
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 |
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 |
CA3206076A1 (en) * | 2021-01-22 | 2022-07-28 | Marcelo MEDEL | 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 |
WO2023212021A1 (en) * | 2022-04-27 | 2023-11-02 | Vermeer Manufacturing Company | Productivity monitor in material reduction or separating machine |
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)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE112004000879T5 (en) * | 2003-05-28 | 2006-04-13 | Bm Alliance Coal Operations Pty Ltd. | Method and apparatus for determining a 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 |
-
2019
- 2019-09-06 PE PE2021000301A patent/PE20210695A1/en unknown
- 2019-09-06 BR BR112021004248-2A patent/BR112021004248A2/en unknown
- 2019-09-06 AU AU2019335607A patent/AU2019335607A1/en active Pending
- 2019-09-06 WO PCT/IB2019/057528 patent/WO2020049517A1/en active Application Filing
-
2021
- 2021-03-05 CL CL2021000547A patent/CL2021000547A1/en unknown
- 2021-12-06 CL CL2021003234A patent/CL2021003234A1/en unknown
- 2021-12-06 CL CL2021003235A patent/CL2021003235A1/en unknown
Also Published As
Publication number | Publication date |
---|---|
WO2020049517A1 (en) | 2020-03-12 |
CL2021003234A1 (en) | 2022-08-26 |
CL2021003235A1 (en) | 2022-08-26 |
CL2021000547A1 (en) | 2021-09-24 |
BR112021004248A2 (en) | 2021-05-18 |
AU2019335607A1 (en) | 2021-04-01 |
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