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What if your factory could run itself—dynamically adjusting, diagnosing, and optimizing without constant human input? Welcome to the era of Agentic AI—a groundbreaking shift in how factories think, adapt, and operate.

In today’s fast-paced manufacturing world, efficiency and accuracy are key. Factories need a reliable system to generate product certificates and produce customized business reports without manual effort. Our Django-powered business management system is designed to automate this process, allowing companies to focus on production while ensuring compliance and data accuracy.

In modern industrial automation, PLC (Programmable Logic Controller) systems are widely used to control and monitor manufacturing processes. However, integrating PLC data with Python-based automation can enhance efficiency, enable predictive maintenance, and optimize workflows.

If you’re looking for an efficient way to retrieve, process, and visualize PLC data stored in a database using Python, this guide will help you. Whether your PLC (Programmable Logic Controller) data is stored in MySQL, PostgreSQL, SQLite, or MongoDB, we’ll cover how to connect, fetch, and analyze the data in Python.

What is a Digital Twin? A digital twin is a virtual representation of a physical object, process, or system. It serves as a real-time digital counterpart to its physical counterpart, enabling monitoring, simulation, and optimization. By leveraging data from sensors and other IoT devices, digital twins provide insights into performance, predict potential issues, and support […]

Smart Factory / Industry 4.0 เป็นแนวคิดที่เกี่ยวกับ การนำ Network  + Sensor + Machine learning technology มาใช้กับโรงงานอุตสาหกรรม  Sensor technology มีการพัฒนาไปมาก และราคาก็ถูกลงไปมาก การเชื่อมต่อข้อมูลกับเครื่องจักร ( Machine interface ) ที่ใช้ในอุตสาหกรรม ส่งข้อมูลผ่าน network ( ทั้งในรูปแบบ local network หรือ internet )