Description

Insight - Automatic Control highlights the following aspects:

1. Cutting-edge technology: Mainly reports on the new trend of global automation technology development, new technology, new products and experience as well as understandings in various application fields.

2. Frequency conversion energy saving, soft-starting system: Inverter, soft start system design, product selection, debugging and maintenance, report the actual system engineering, improve the reader's ability to solve practical problems.

3.PLC and man-machine interface control system: The application of PLC and man-machine interface in power plant, coal mine, water plant, metallurgy, paper, machinery, petrochemical, chemical, textile, building materials and other industries is reported.

4. Sensor detection system: The application cases of sensors and transmitters in various industries are reported, and the scheme, engineering design, fault diagnosis and treatment methods are proposed.

5. Intelligent instrumentation: To report the successful application of modern instrument and instrument mature technology in various industrial fields, experience in installation, debugging and troubleshooting of instrumentation, the problems and solutions of various instruments and systems in use by engineers and technicians.

6. Solutions: Report on solutions about industrial automation control system (including DCS control system, embedded system, field bus and other automatic control system) used in mechanical electronics, petrochemical, metallurgy, electricity, communications, environmental protection, aerospace, municipal construction, transportation, construction and other industries (automatic control engineering, design).

Latest Articles

  • Open Access

    Article

    Article ID: 606

    Application of Industry 4.0 and digital twin in the field of smart healthcare

    by Madhab Chandra Jena, Sarat Kumar Mishra, Himanshu Sekhar Moharana

    Insight - Automatic Control, Vol.7, No.1, 2024; 64 Views, 37 PDF Downloads

    There is an increasing need for preventive health care as well as precise diagnosis and tailored treatment of different diseases in recent years. Providing customized treatment for each patient and maximizing accuracy and efficiency are main goals of a good healthcare system. This thesis explores the integration of digital twin technology with Industry 4.0 in healthcare. Digital twins create virtual representations of physical systems, enabling real-time monitoring and tailored treatments. Key elements include the living human body, IoT, digital twin, cloud computing, and simulation. The architecture comprises data acquisition, data munging, data storage, data simulation with analytics, and user access layers. Creating a digital twin involves precise 3D modeling, representing the entire body or specific organs. A case study demonstrates real-time monitoring using wearable sensors for blood pressure, blood sugar, and heart rate. Data is transmitted, integrated with the digital twin, and accessible via a website with alarms for abnormal readings. While Industry 4.0 and digital twin adoption in healthcare is evolving, the architecture serves as a reference. It offers real-time data for diagnosis and treatment, with potential for advanced simulations. Challenges include automated data systems and privacy concerns. Despite limitations, this integration holds promise for precision medicine and personalized healthcare.

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