| Code |
MSL105B |
| Course unit |
Internet technologies for life cycle management of shipboard power systems using remote control methods |
| Nomber of credits ECTS |
3.0 |
| Language of education |
3 |
| Learning outcomes of course unit |
- Understand the principles of construction and functioning of Internet technologies in shipboard power plant control systems.
- Analyze the stages of the life cycle of shipboard power systems.
- Explain the architecture of data transmission networks in remote control systems.
- Use Internet of Things technologies to monitor the technical condition of equipment.
- Apply Harni services to collect and process operational data.
- Work with SCADA systems for remote control and management of energy processes.
- Assess the level of cybersecurity of shipboard information systems.
- Use methods for diagnosing the technical condition of shipboard power systems.
- Apply methods for predicting equipment failures.
- Organize remote monitoring and management of shipboard power systems.
- Integrate various automated control systems into a single information structure.
- Use modern software platforms for equipment life cycle management.
- Analyze and optimize the operating modes of shipboard power plants.
- Assess the prospects for the development of digital technologies in marine energy and their impact on the efficiency of ship operation.
|
| Types of educational work |
lecture classes, practical classes, laboratory classes, carrying out of a term paper. |
| Type of final control |
|
| Content of course unit |
- Introduction to Internet technologies in ship power engineering. Basic concepts, structure and role of digital technologies in ship power systems management.
- Life cycle of ship power systems. Stages of design, operation, modernization and disposal.
- Network architecture for remote control of ship systems. Ship information networks, data transmission protocols.
- Internet of Things (IoT) in ship power engineering. Sensor networks, data acquisition systems and remote monitoring.
- Cloud technologies in ship power systems management. Data storage, processing and analysis.
- SCADA systems for remote control and management. Principles of construction, functional capabilities.
- Cybersecurity of ship information systems. Data protection, counteraction to cyber threats.
- Intelligent systems for diagnosing ship power installations. Use of data analysis algorithms.
- Methods for predicting the technical condition of equipment. Predictive maintenance.
- Remote control systems for ship power plants. Communication channels and telemetry.
- Integration of automated control systems for ship power complexes.
- Software platforms for equipment life cycle management.
- Modeling and optimization of ship power systems operating modes.
- Prospects for the development of digital technologies in marine energy
|
| Equipment (if applicable) |
Educational and research ship laboratory equipment for studying processes in ship systems, Arduino controllers, ESP8266. Modern software tools and Cloud services are used to simulate processes in control systems. |
