Introduction
The programme “Developing Smart Industrial Monitoring and Control Systems Using Cloud Computing and the Internet of Things” develops professional practice in Engineering. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from cloud computing, integration, and service continuity to project planning and implementation control, with practical work on electrical systems, control, and operational efficiency, information systems analysis, integration, and service management, engineering design, modeling, and simulation. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Compare cloud service alternatives and a migration, operations, and data protection plan in an application related to “Developing Smart Industrial Monitoring and Control Systems Using Cloud Computing and the Internet of Things”.
- Read a training electrical system and identify inspection, protection, and control requirements.
- Analyze information system requirements and design acceptance, integration, and operational criteria.
- Build an engineering model and assess its assumptions, limitations, and verification results.
- Prepare a project plan connecting scope, time, resources, and risks.
Learning areas
1. Cloud Computing, Integration, and Service Continuity
- Inventory applications, data, interdependencies, and availability needs, identifying what is suitable for migration and what requires prior remediation.
- Compare service and hosting models and the division of security and operational responsibilities, identifying contractual obligations and applicable data location requirements.
- Estimate costs according to usage, storage, transfer, and support, and test the estimate's sensitivity to changing load and data growth.
- Design an access, backup, monitoring, and integration plan, and set thresholds and measurements to verify performance and continuity.
- Prepare a pilot migration with acceptance criteria, a rollback plan, and a recovery test, documenting responsibilities and service quality monitoring indicators. The application examines a case related to “Developing Smart Industrial Monitoring and Control Systems Using Cloud Computing and the Internet of Things”.
2. Electrical Systems, Control, and Operational Efficiency
- Read a training single-line or control diagram, identifying supply, loads, protection and measurement devices, and system boundaries.
- Analyze load, power quality, and efficiency requirements and fault indicators, checking data accuracy and conformity with equipment specifications.
- Identify the roles of protection, earthing, isolation, coordination, and control, referring settings and execution to specialists and approved technical references.
- Design an inspection and testing checklist covering criteria, tools, responsibilities, safety procedures, and permits without instructions for intervention on an energized circuit.
- Prepare a technical report comparing readings with approved limits and presenting possible causes, proposed actions, and approval requirements before execution.
3. Information Systems Analysis, Integration, and Service Management
- Analyze system users, processes, and the decisions it supports, translating needs into clear functional and nonfunctional requirements.
- Model data flows, entities, relationships, and interfaces, identifying each data item's source and the party responsible for its quality and updating.
- Compare build, buy, integration, and hosting alternatives according to constraints, security, total cost, and available support capabilities.
- Design test cases covering performance, permissions, usability, and integration, and connect each test to a testable acceptance criterion.
- Prepare a transition, operations, support, change management, and backup plan, defining indicators for service availability, fault resolution, and improvement review.
4. Engineering Design, Modeling, and Simulation
- Translate needs into requirements, design limits, and load or operating cases, documenting criteria and references relevant to the case.
- Prepare an engineering model showing dimensions, materials, relationships, and constraints, and review consistency between drawings, assumptions, and inputs.
- Select a simulation method suited to the problem, define boundary conditions, and examine the sensitivity of results to input quality and model settings.
- Compare outputs with a reference calculation or available test data, distinguishing calculation accuracy from the validity of the model's representation of reality.
- Prepare a design report explaining results, limitations, risks, and required modifications, specifying matters requiring specialist engineering review and approval.
5. Project Planning and Implementation Control
- Define the project rationale, expected results, stakeholders, and success criteria, and document the scope of work and exclusions.
- Break deliverables into work packages and related activities, and estimate durations, resources, and activity dependencies.
- Prepare a schedule and cost baseline, identify delivery and review milestones, and clarify approval and escalation responsibilities.
- Analyze implementation risks, define responses and warning indicators, and control change requests and their effects on time and cost.
- Build a progress report covering variances, decisions, and lessons learned, and define procedures for accepting deliverables and closing the project.
Practical outputs
- A cloud service selection matrix, migration plan, and recovery test.
- A functional diagram, checklist, and preliminary analysis of electrical system performance.
- A requirements document, data flow map, and testing and acceptance plan.
- Design specifications, a simulation model, and a verification and review report.
- A project charter, implementation schedule, and change and risk tracking register.
Who should attend
- Engineers, technicians, supervisors and operations staff whose work relates to the programme subject.
- Managers and teams working in engineering, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Developing Smart Industrial Monitoring and Control Systems Using Cloud Computing and the Internet of Things” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Developing Smart Industrial Monitoring and Control Systems Using Cloud Computing and the Internet of Things” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.