WO2016099243A1 - Systèmes analyseurs de bulles dans des cellules de flottation reposant sur la vision artificielle - Google Patents

Systèmes analyseurs de bulles dans des cellules de flottation reposant sur la vision artificielle Download PDF

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Publication number
WO2016099243A1
WO2016099243A1 PCT/MX2015/000214 MX2015000214W WO2016099243A1 WO 2016099243 A1 WO2016099243 A1 WO 2016099243A1 MX 2015000214 W MX2015000214 W MX 2015000214W WO 2016099243 A1 WO2016099243 A1 WO 2016099243A1
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WO
WIPO (PCT)
Prior art keywords
bubble
flotation cells
artificial vision
cells based
images
Prior art date
Application number
PCT/MX2015/000214
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English (en)
Spanish (es)
Inventor
Alvaro RENDON MONTOYA
Ivan Dario DAVILA PERALTA
Norberto FLORES GUZMAN
Original Assignee
Electro Controles Del Noroeste S.A. De C.V.
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 Electro Controles Del Noroeste S.A. De C.V. filed Critical Electro Controles Del Noroeste S.A. De C.V.
Publication of WO2016099243A1 publication Critical patent/WO2016099243A1/fr

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
    • B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
    • B03D1/00—Flotation
    • B03D1/02—Froth-flotation processes
    • 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
    • G01N15/06—Investigating concentration of particle suspensions

Definitions

  • the present invention is comprised within the fields of mining and control systems. Particularly to a real-time vision system, specifically to an embedded image analysis system that allows taking measurements and analyzing them for process control in flotation cells.
  • a first object of the invention is a new Bubble Analyzer System based on Artificial Vision in order to improve the recovery of ore in flotation cells.
  • the system has the characteristic of being compact, since it consists of a camera that captures images of the bubbles that occur in the flotation cells and sends them to an embedded image processing system, which analyzes the bubbles in real time with in order to estimate parameters such as speed and direction, stability, distribution of size and color and send the results of the analysis to an external control system by means of Ethernet / IP communication, which will make use of the results by the invention described herein to perform control actions either in the addition of reagents, air control or level control in the cell.
  • flotation is a technique for mineral recovery that is present in mining plants. Originally, the flotation process was patented in 1906 and has grown to possibly become the most important mineral processing technique today. Flotation is a mineral enrichment process, initially developed for the treatment of copper, lead and zinc sulphides. The treatment of oxides, such as hematite (iron oxide) and cassiterite (tin oxide) and other oxidized minerals, as well as non-metallic minerals, such as fluorite, phosphates and fine carbon, are currently included. It begins with the grinding of the mineral, with water and certain chemical reagents, up to a particular average particle size, which ensures the release of valuable mineral species from the host rock.
  • oxides such as hematite (iron oxide) and cassiterite (tin oxide) and other oxidized minerals
  • non-metallic minerals such as fluorite, phosphates and fine carbon
  • the resulting water-mineral suspension (or pulp) is generally directed to a separation device known as a hydrocyclone.
  • the upper flow leaving the hydrocyclone which contains the fine particles, is passed to the flotation section; while the lower flow, consisting of coarse particles, returns to the mills for re-milling.
  • additional reagents can be added to the pulp.
  • An additional time of conditioning to achieve a uniform distribution of reagents and allow competition between different mineral particles. Once the conditioning is complete, the pulp is introduced to the flotation cells.
  • Flotation is generally a multi-stage process, which aims to improve the total separation of minerals (grade) and the proportion of valuable minerals obtained (recovery).
  • the vision systems currently used to analyze bubbles in flotation cells, capture and analyze video images in real time by a centralized system, which also processes the images and communicates with the control system through OPC communication ( Object Linking and Embedding for Process Control).
  • OPC communication Object Linking and Embedding for Process Control
  • DSP digital signal processor
  • the system requires high bandwidth since it transfers the images to the server in order to be analyzed and not interrupt data traffic at the information level.
  • the current systems that carry out the image processing techniques are computer systems with image analysis software at the information network level, that is, they do not have direct communication with the control system, in addition to not being deterministic systems
  • an area of opportunity related to current technologies consists of a Bubble Analyzer system that reduces the complexity and costs of current equipment, without affecting the efficiency and accuracy required to perform the analyzes.
  • the invention relates to a Bubble Analyzer System in Flotation Cells based on Artificial Vision.
  • the characteristic details of this product are clearly shown in the following description and in the accompanying figures.
  • the system consists of a camera (1) contained within a robust cover with lighting that captures the images of the bubbles in the flotation cells (6), the camera has an Ethernet / IP interface (3) through which it sends the images to an embedded system (2) of image processing that analyzes the bubbles in real time to estimate parameters such as speed and direction, stability, size and color distribution.
  • the system when working at the controller level, through a second Ethernet / IP interface (4), is able to send the results to an external control system (5) which makes use of the results of the invention described herein to execute control actions.
  • the interface can also be used to manipulate the application and configure parameters through a graphical interface.
  • One of the main advantages is that it works directly in the control network through interconnection with the control system as a Remote Node through Ethernet / IP communication, sending the results of the analysis so that the control system executes the actions necessary for mineral recovery.
  • Another advantage that can work at the same time with the information network by sending to the monitoring computer the results of the analysis and what the camera observes (bubbles). It shows the advantage of being a deterministic system, executing the processing in a certain time rate without interruptions, providing reliability in the execution of the algorithms and communication. The system restarts in parallel with the control system, restoring communication immediately. It uses the Ethernet interface for both camera configuration, embedded system configuration, communication with the control system and monitoring from the supervisory station (computer). No image processing servers are required with the disadvantages they represent: OPC, database and specialized hardware.
  • the images are acquired by the embedded system processor (2), which sends the images to the FPGA chip of the embedded system, which executes the image analysis and processing algorithms that require a high level of parallel operations to obtain the parameters of desired measurement.
  • the FPGA chip communicates dynamically with the processor through special buses and sends the results of the algorithms and image analysis.
  • the processor is responsible for communicating with external controllers (5) using the Ethernet / IP communication protocol (4).

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  • Chemical & Material Sciences (AREA)
  • Dispersion Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

La présente invention concerne un système analyseur de bulles reposant sur la vision artificielle afin d'améliorer la récupération de minerai dans des cellules de flottation. Ledit système comprend une chambre qui capture des images des bulles se produisant dans les cellules de flottation et les envoie à un système intégré de traitement d'images, lequel système analyse les bulles en temps réel afin d'estimer des paramètres tels que la vitesse et la direction, la stabilité, la répartition de la taille et des couleurs, ledit système étant capable d'envoyer les résultats de l'analyse à un système de commande externe par une communication industrielle Ethernet/IP. Ce système de commande externe utilise les résultats de l'invention pour effectuer des actions de commande sur l'ajout de réactifs ou le contrôle de l'air ou le contrôle de niveau dans la cellule.
PCT/MX2015/000214 2014-12-18 2015-12-17 Systèmes analyseurs de bulles dans des cellules de flottation reposant sur la vision artificielle WO2016099243A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
MXMX/A/2014/015829 2014-12-18
MX2014015829A MX366835B (es) 2014-12-18 2014-12-18 Sistema analizador de burbujas en celdas de flotacion basado en vision artificial.

Publications (1)

Publication Number Publication Date
WO2016099243A1 true WO2016099243A1 (fr) 2016-06-23

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Application Number Title Priority Date Filing Date
PCT/MX2015/000214 WO2016099243A1 (fr) 2014-12-18 2015-12-17 Systèmes analyseurs de bulles dans des cellules de flottation reposant sur la vision artificielle

Country Status (3)

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MX (1) MX366835B (fr)
PE (1) PE20170870A1 (fr)
WO (1) WO2016099243A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106902988A (zh) * 2017-04-10 2017-06-30 中国矿业大学 一种浮游选煤过程自动控制系统与方法
CN110918266A (zh) * 2019-12-10 2020-03-27 中南大学 一种提升浮选泡沫质量的控制装置及方法
CN111175197A (zh) * 2020-01-08 2020-05-19 武汉理工大学 矿物表面气泡成核及气泡生长过程的观测装置和方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050260189A1 (en) * 2002-07-11 2005-11-24 Klibanov Alexander L Microbubble compositions, and methods for preparing and using same
US20130299394A1 (en) * 2010-11-19 2013-11-14 Johannes Jacobus Le Roux Cilliers Method and apparatus for froth flotation control
US20140151273A1 (en) * 2011-08-18 2014-06-05 Outotec Oyj Probe arrangement for a flotation cell

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050260189A1 (en) * 2002-07-11 2005-11-24 Klibanov Alexander L Microbubble compositions, and methods for preparing and using same
US20130299394A1 (en) * 2010-11-19 2013-11-14 Johannes Jacobus Le Roux Cilliers Method and apparatus for froth flotation control
US20140151273A1 (en) * 2011-08-18 2014-06-05 Outotec Oyj Probe arrangement for a flotation cell

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106902988A (zh) * 2017-04-10 2017-06-30 中国矿业大学 一种浮游选煤过程自动控制系统与方法
CN106902988B (zh) * 2017-04-10 2019-01-08 中国矿业大学 一种浮游选煤过程自动控制系统与方法
CN110918266A (zh) * 2019-12-10 2020-03-27 中南大学 一种提升浮选泡沫质量的控制装置及方法
CN110918266B (zh) * 2019-12-10 2020-09-29 中南大学 一种提升浮选泡沫质量的控制装置及方法
CN111175197A (zh) * 2020-01-08 2020-05-19 武汉理工大学 矿物表面气泡成核及气泡生长过程的观测装置和方法

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Publication number Publication date
MX2014015829A (es) 2016-06-17
PE20170870A1 (es) 2017-07-05
MX366835B (es) 2019-07-03

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