INCIDENT AND OBSERVATION SYSTEMS

The Mining and Petroleum industry use exhaustively computerized systems for monitoring and control along the entire supply chain of the Internet of Things is growing constantly. The application of IoT devices in the industry is spreading fast, producing gains in production efficiency, safety. The course provides knowledge of IoT essential concepts and IoT applications in areas such as monitoring, real-time data collection and analysis, equipment control, key requirements for IoT devices specifications and technological limitations in Mining, Oil and Gas processing industries. The course will provide un understanding of strategies for adoption of IoT systems considering Process Safety, Management of Risks.

DURATION: [5 days /30 hours]

LEVEL:  Foundation to Skill

AUDIENCE

Engineering Managers, Project Engineers, Operations and Maintenance professionals,
Professionals with little or no background in Instrumentation, Communication and Electrical systems.

TEACHING METHODS

Instructor led training, case studies, videos, exercises.

THE BENEFITS FROM ATTENDING

The participants will learn during the course the essentials of:

• IoT essential terminology

• Sensors types

• Circuits

• Reading a Spec Sheet

• Connectivity and Networking Protocols used in IoT

• Requirements for IoT devices specifications

• IoT devices Selection criteria

TOPICS

You will be aquired:

• Internet of Things Fundamental Concepts

• Applications of IoT

• Components of IoT Systems

• Selection criteria of IoT devices

• Smart devices interconnection with IoT

• Control, measurement, environmental regulation compliance

• Adoption of IoT systems in Mining, Oil and Gas industries

• Data privacy

• Cybersecurity

DAILY AGENDA

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Day 1: Equipament Monitoring

• Internet of Things

• Applications

• Improving efficiency and productivity of production operations with IoT devices

• SCADA systems

• Sensors

• Sensor selection

• Reading a sensor data sheet

• Circuits

• Embedded Systems

• Equipment monitoring: IoT sensors and devices to monitor the state of equipment

Day 2: netwoks and smart production

• Connectivity and Networking

• Smart manufacturing

• Monitoring equipment: IoT sensors and devices to monitor equipment status

• Data analysis features

Day 3: ENVIRONMENTAL MONITORING, ANOMALY DETECTION AND WARNING SYSTEM

• Environmental surveillance: monitoring environmental parameters such as air, water and soil quality.

• Anomaly detection: artificial intelligence algorithms to detect anomalies and possible incidents.

• Alert system: mechanisms for issuing alerts in real time

• Database: record of incidents and actions taken

• User interface: Intuitive dashboard for visualizing and controlling the system

• Continuous monitoring: 24/7 monitoring capability

Day 4: DASHBOARDS AND MONITORING

• Real-time alerts: sending real-time alerts to interested parties

• Reporting: generation of detailed reports on incidents and actions

• Integration: compatibility with existing control and management systems

• Security: security measures to protect data and system integrity

• Scalability: ability to extend the system to cover new areas or increase the volume of data

• Reliability: High availability and minimal downtime

• Usability: User-friendly interface accessible to users with different levels of technical skill

• Maintainability: ease of maintaining and updating the syst

Day 5: CYBERSECURITY

• Cybersecurity

• Strategies for IoT adoption

• Conclusion