Digital Twin Plant Data Testing for IoT Program Debugging

The patent creates a digital twin that copies the real plant's equipment, processes, and data characteristics into a virtual environment. This virtual copy enables program testing with realistic data without requiring physical presence in the plant, thus maintaining testing accuracy while improving convenience. The digital twin replicates sensor data, equipment states, and process parameters that can be used for comprehensive program validation.

The digital twin serves as an intermediary between the real plant and the testing environment. It mediates by providing virtual data that mimics real plant conditions, allowing developers to test programs remotely with data that accurately reflects real-world scenarios, thereby resolving the contradiction between testing accuracy and convenience.

By copying the authentic plant data characteristics and equipment behaviors into the digital twin, the system maintains data authenticity while enabling testing on various virtual platforms. The digital twin preserves the statistical properties, data distributions, and operational patterns of real plant data, allowing flexible testing scenarios without compromising authenticity.

The digital twin creates a universal testing environment that can be accessed from multiple locations and configured for different testing scenarios. It provides a multi-functional platform that supports various program types, testing conditions, and access methods, thereby improving flexibility and accessibility while maintaining data authenticity through faithful replication of plant characteristics.