Integrated production automation for real-time multi-frequency data processing and visualization in internet of things (IoT) systems

A system for processing and managing data in Internet of Things (IoT) systems, the system comprising:

• an interoperable digital architecture configured for real-time multi-frequency data collection, processing, and visualization, the interoperable digital architecture is designed to process data from various IoT devices and sensors in real-time;
• an automated event detection module integrated within the interoperable digital architecture, configured to detect events from the IoT devices and sensors in real-time and manage multi-frequency data;
• a modular AI module integrated within the interoperable digital architecture, in communication with the automated event detection module, and configured to process the multi-frequency data in real-time through separate aggregated containers for increased computational efficiency, the modular AI module further configured to parallelize AI processing for simultaneous logic layers in real-time, wherein the AI module receives the multi-frequency data from the event detection module, and processes it in parallel using a plurality of AI algorithms;
• a data sorting module integrated within the interoperable digital architecture, in communication with the modular AI module, configured to sort the processed multi-frequency data and send it to predefined destinations across multiple cloud environments;
• and
• a relational database integrated within the interoperable digital architecture, in communication with the data sorting module, for segregation of raw multi-frequency data and processed multi-frequency data.