Process audit and diagnostics
In many plants this is called Level 2; for me it mainly means readable process behavior, operating audit, work states and event reconstruction on CTL, slitters, tube lines and heat-treatment furnaces.
Experience
Experience on real industrial systems
I work in contexts where software must remain close to the machine: production, maintenance, technical teams, automation, historical data and diagnostics.
Real-time production dashboards
Web interfaces to visualize orders, machine states, activities in progress, anomalies, downtime and updated production data.
Downtime management
Systems to record, close, classify and validate downtime with causes, history, responsibilities and data consultation.
Tools for technical development
Internal tools to reduce repetitive activities, manual imports/exports, redundant configurations and technical checks that are difficult to maintain.
Automation-database integration
Software services to acquire data from machines and automation systems, save it to databases and make it available to dashboards, reports or external systems.
Incremental modernization
Analysis and revamping of existing systems, including reconstruction of application logic, data flows and behavior when documentation is partial or outdated.
Similar contexts, concrete problems
Every plant has its own constraints: existing PLCs, historical SCADA, incomplete data, limited downtime and different operational needs. The first step is to understand the context well.