Minería y metal

Creating a Sustainable Future Together Through the Realization of Smart Mining

Modern society relies on mineral resources for everything from automobiles to infrastructure. The mining industry faces complex challenges including ESG standards, resource depletion, geopolitical risks, and safety concerns that cannot be solved through individual optimization alone.

Yokogawa drives mining plant transformation by combining century-old measurement expertise from the oil and gas sector with IoT, AI, and Digital Twin technologies. Through our global support network, we partner with the entire ecosystem to address these complex issues.

Work together with Yokogawa to achieve sustainable mining that goes beyond conventional approaches.

Smart Mining
The Future of Mining Plants Evolving Through Digital Technology

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Key Industry Challenges and How Yokogawa Responds

Worker and Plant Safety

Worker and Plant Safety

  • Introduction of Automation Technology
  • Cyber Security Measures

Productivity Improvement

Productivity Improvement

  • Improving Efficiency Through Data Utilization
  • Integration of IoT, AI, and Digital Twin

Optimal Plant Operation

Optimal Plant Operation

  • Strengthen Reliability with Smart Maintenance
  • Minimizing Downtime

 

Yokogawa’s Solutions

Fieldwork Support

Fieldwork Support

Enable safe operations by real-time sharing and digitizing video and audio

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Minimization of Cyber Attack Risk

Minimization of Cyber Attack Risk

Ensure appropriate security management for the customers' situations and effectively protect the plant from cyber attacks

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Transformation into Data-Driven Operations

Transformation into Data-Driven Operations

Organize workflows to support optimal on-site data utilization

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Equipment Condition Visualization

Equipment Condition Visualization

Real-time visualization of the entire plant and equipment condition enables efficient operation and quick response to abnormalities

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Plant Operation Optimization Platform

Plant Operation Optimization Platform

By utilizing Digital Twin for real-time data processing and autonomous problem-solving AI agents, maximize the use of assets such as equipment and support decision-makers in plant operations, thereby optimizing plant operations

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Fieldwork Support

Enable safe operations by real-time sharing and digitizing video and audio

On-Site Challenges
  • Takes time to get to the problem site
  • Insufficient support leads to equipment failure and worker injury
Solutions
  • Check the on-site situation utilizing clear video and voice calls from remote locations
  • Write instructions from remote locations on documents and images displayed on mobile devices in real time
  • Record the work details along with video, and share the information and create a manual at a later date
Benefits
  • If any problems arise, the on-site situation can be shared early, and support can be provided to the site from remote locations
  • Reducing the on-site work time and system recoverytime

Fieldwork Support

 

Minimization of Cyber Attack Risk

Ensure appropriate security management for the customers' situations and effectively protect the plant from cyber attacks

On-Site Challenges
  • No measures in place for dealing with security incidents
  • Not sure where to start with security measures
Solutions
  • Realization of end-to-end proposal and implementation of security measures, operation monitoring, and incident response based on IEC62443
  • Target levels consideration based on cost-effectiveness
  • Centralized security management with real-time monitoring
  • 24/7 global management through help desk
Benefits
  • Minimizing the monetary loss risks from cyber attacks
  • Cost reduction by simplifying, standardizing, and further integrating security management
  • Strengthen the security by complying with industry and enterprise security standards such as IEC62443

Minimization of Cyber Attack Risk
 

 

Transformation into Data-Driven Operations

Organize workflows to support optimal on-site data utilization

On-Site Challenges
  • Little use of camera images and process data
  • Unclear work procedures
Solutions
  • Organize the collected data and the use to create priorities and roadmaps for data utilization
  • Hold workshops to clarify work procedures
  • Introduce digital standard operating procedures (SOP) to achieve automation through systems
Benefits
  • Operational transform tailored to actual work contents and data
  • SOP facilitates skill transfer and reduces the burden of operators

Transformation into Data-Driven Operations

Flotation Use Case

Flotation Use Case

Step1: Organize Data Usage and Work Procedures

Propose workflow improvements using unused data

Before : Frequently remains in the abnormal state

The froth on the flotation cell surface are captured on camera but are not monitored by the operator. The abnormal froth conditions are left unchecked, adversely affecting mineral recovery rates.

After : Rapid detection and response to abnormal conditions

Rapid detection and response to abnormal conditions automatically detects abnormal froth conditions by image-recognizing the camera image. Notify the operator and prompts the operator to respond quickly.

Step2: Work Standardization and Automation

Achieve operational stabilization and early recovery by SOP introduction

Before : The work varies depending on the operators

Operator’s work procedures for recovering from abnormal to normal conditions are inconsistent and vary.

After : Work is standardized and partly automated

  • Identify and improve the operator’s work procedures, and incorporated into the SOP.
  • Minimize the person-hours required for recovery by automating works that can be systemized.

 

Equipment Condition Visualization

Real-time visualization of the entire plant and equipment condition enables efficient operation and quick response to abnormalities

Equipment Condition Visualization

On-Site Challenges
  • Irregular equipment monitoring and relying on manpower
  • Time consuming inspection caused by the vast site area

Equipment Condition Visualization

Solutions
  • Automatically collect equipment condition data at all times by utilizing the easy-to-install wireless sensors
  • Monitor equipment condition on a dashboard and detect abnormal signs with AI
Benefits
  • Reduce the person-hours for human inspection
  • Stabilize inspection quality through quantifying and visualizing inspection work
  • Prevent sudden, unexpected equipment failure

Rotating Equipment Use Case

Monitoring vibration data on the dashboard and detecting abnormal signs utilizing AI.

Allow to monitor the equipment conditions using numerical values without relying on professional intuition and experience.
Furthermore, by utilizing the cloud environment, realize AI-powered predictive maintenance and remote monitoring. After detecting an abnormality, perform precise diagnosis and take appropriate actions.

Wireless sensor installation

Rotating equipment vibration data is collected automatically at all times, eliminating the need for on-site equipment inspections in remote locations

1. LoRaWAN Gateway
Data collection and transfer to server

2. Sushi Sensor
Measurement of surface temperature and vibration

Rotating Equipment Use Case

 

Plant Operation Optimization Platform

By utilizing Digital Twin for real-time data processing and autonomous problem-solving AI agents, maximize the use of assets such as equipment and support decision-makers in plant operations, thereby optimizing plant operations

Framework Proposed by Yokogawa

AOM (Asset Operations Management) is built on three technology pillars: Composability, AI/ML, and Digital Twin. It unifies operations, maintenance, reliability, and engineering to achieve operational excellence.

  • Operations
    Operations ensure efficient and effective use of assets
  • Reliability
    Improve the assets’ reliability by supporting the intended performance metrics achievement without failures over a specific period under specific conditions
  • Maintenance
    Asset maintenance effectively minimizes operational downtime and associated costs
  • Engineering
    Develop and optimize asset designs and processes to ensure efficient operations and compliance with standards, and to meet operational demands and future modifications

Framework Proposed by Yokogawa

 

AI Is Evolving from Assisting Humans to Collaborating with Humans

AI agents not only perform specialized tasks to achieve business goals, but also communicate and coordinate with other AI agents to enhance problem-solving capabilities. This means that AI agents behave in the same way as operators and engineers have done until now.

AI Is Evolving from Assisting Humans to Collaborating with Humans

Steps to Achieve Smart Mining

Optimize plant operations in stages, starting with system integration, to achieve safety, improved operating rates, increased productivity, minimized costs, and ESG management

Steps to Achieve Smart Mining

Recursos

Descripción General:

Kyushu Mitsui Aluminium utiliza el monitor UPM100 Energía para las operaciones generales de su fábrica, y el registrador sin papel DX1000 para sus hornos de refinado de aluminio de gran pureza.

Descripción General:
  • La migración segura y sin contratiempos a CENTUM VP mejora la eficacia de la producción en una importante mina de oro australiana.
  • Las estaciones HMI instaladas en la central Sala de control, el sistema de formación, la trituradora primaria, el taller y la oficina están todas conectadas a través del mismo bus de comunicación.
Descripción General:
  • La configuración de procedimientos complicados en Exapilot conduce a la excelencia operativa.
  • DENKA quería estandarizar la operación, reducir la carga de trabajo y evitar errores de los operarios.
Descripción General:
  • La tecnología FDT ofrece a los usuarios un acceso centralizado a todos los dispositivos.
  • La tecnología FDT proporciona un entorno común para configurar, operar o mantener cualquier dispositivo.
Descripción General:

CENTUM VP fue seleccionada para aumentar la producción de una refinería de oro en Australia.
La fiabilidad y disponibilidad sin precedentes de CENTUM garantizaron cero tiempos de inactividad imprevistos.

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