Data collection and storage is the process of gathering, arranging, and making data available for analytics. Since data quality is vital, companies must decide what should be collected and stored using newer tech like data lakes and cloud storage.
Data from CNCs, PLCs, industrial PCs, robots, sensors, and other external sources form the foundation of any digital manufacturing solution. The challenges are in determining which data is important, understanding it, cybersecurity, and data validation.
Are you adding an MTConnect adapter and agent to legacy equipment? The AMT-Virginia Tech team collected and visualized data for production managers to monitor real-time metrics and build accurate reports from legacy equipment.
Does a year-over-year percentage growth truly reflect industry change? Do increased robot installations in sectors with less robot density look the same in ones with more density? Derivatives help expose how total change is affected when variables change.
In April, Silicon Valley Robotics hosted its annual Robot Block Party in Oakland, California. The event served as a hub for robotics enthusiasts, hobbyists, and makers to showcase their projects and products. Think public school book fair – but for robots.