Project timeline
Automation Monitoring Panel and Data Acquisition Dashboard
Web-based automation monitoring panel for field data, status tracking, alarm logic and reporting.
Main tools and layers
Project category and focus
Worked on dashboard information architecture, data model, alarm thresholds, filtering and reporting logic. Contribution scope:...
Technologies used in this project
Key technologies in this project are matched automatically from its technology list and category structure.
Project overview
The automation monitoring dashboard is a web based dashboard concept that turns raw process or sensor data into information a user can act on. Cards, filters, timestamped records, alarm thresholds and reporting logic work together. The aim is not only showing data, but making current state, historical trend, abnormal behavior and manageable parameters meaningful on one screen.
System perspective: The project was considered not as a single technical output, but together with requirements, data flow, user interaction, failure scenarios, maintainability and future extensibility. This makes both the engineering decisions and software architecture choices easier to understand.
Implementation detail: The content was expanded to explain not only the technologies used, but also how the problem was approached, which layers were separated, how data and control flow were considered, and which competency the project represents inside the CV.
Portfolio depth: This record highlights not only the technologies used, but also how the requirement was decomposed, how data or control flow was considered, what output is presented to the user and how the project can be extended later. This turns the project card from a short showcase into a readable case study that explains engineering decisions.
The technical story from problem to outcome
Collected data loses value if it is not organized in a way that supports decisions.
Sensor or process data was stored in the database and moved to the dashboard through cards, charts and filters.
Data source, storage layer, query/reporting layer and user interface were designed as separated responsibilities.
The resulting structure made automation data observable, filterable and reportable, improving technical system interpretation.
Block-based system flow
Automation
Data source, storage layer, query/reporting layer and user interface were designed as separated responsibilities.
Automation, PHP, MySQL, Sensors, Dashboard, Reporting
The resulting structure made automation data observable, filterable and reportable, improving technical system interpretation.
Demo, output and visual story
Collected data loses value if it is not organized in a way that supports decisions.
The resulting structure made automation data observable, filterable and reportable, improving technical system interpretation.
Data source, storage layer, query/reporting layer and user interface were designed as separated responsibilities.
The resulting structure made automation data observable, filterable and reportable, improving technical system interpretation.