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This document discusses industrial automation using programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems. It defines automation as using machines to control processes and minimize human intervention. Industrial automation aims to increase mass production, save human effort, improve quality, and increase accuracy and consistency. Types of industrial automation include process automation for things like water treatment, building automation for car parking and doors, and scientific automation for processes like satellite launches. The document outlines examples of automated systems and describes common field devices used for inputs like sensors and outputs like motors. It provides an overview of SCADA systems and their typical architecture in industries like electric power.
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Automation or automatic control, is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat treating ovens, switching in telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention. Some processes have been completely automated.
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Automation or automatic control, is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat treating ovens, switching in telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention. Some processes have been completely automated.
The biggest benefit of automation is that it saves labor, however, it is also used to save energy and materials and to improve quality, accuracy and precision.
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In this presentation, Javeed introduces the topic of automation, type of automation and associated trends. His interest area lies in robotic automation systems one example that he cites is building software robots to automate clerical processes in service industry.
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This document provides an overview of automation, including:
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- There are different types of automation like discrete control, continuous control, and sequential control. Applications include human machine interfaces, sensors, instruments, and industrial communications.
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You will find the essentials of automation, sensors, RFID and network technology:
1)What basic knowledge you need
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Contact@ +91-9555405045 / +91-9811253572
Visit: www.innovicindia.com
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As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
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Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
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"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
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3-6 June 2024, Niš, SerbiaCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
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Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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Automation
- 1. USING PLC & SCADA
- 3. Automation: It is a technical control process and replace human control by a machine control. In Automation a controller (technical equipment) is used to get a control output, which minimizes the human intervention for controlling.
- 4. Semi Automation : partial job done by machine automatically. Full Automation : 100% of job done by machine without human control.
- 7. Need of Industrial automation To increase mass production To save human effort To Improved quality To increase accuracy To increase consistency output
- 8. Types Industrial Automation • Process Automation • Water treatment • Electric power management • Building Automation • Car parking • Automatic door opening and closing • Public transportation • Track changer • Traffic signal system • Scientific automation • Satellite launch • Fission and Fusion process
- 10. inlet_valve1 inlet_valve2 Chemical- B Chemical- A Stirrer Motor Chemical Tank Outlet_Valve 40%- Chemical ‘A’ 50%- Chemical ‘B’ Heating_Furnace
- 11. Water Treatment
- 14. Automatic Gate Open/Close System
- 15. Conveyor System
- 16. Filling System
- 18. Field Devices Inputs Devices Switches Push button Limit switch Drum switch Float switch Pressure switch Proximity sensors
- 20. Limit switch
- 21. Drum switch
- 22. Pressure sensor : Proximity Detector or Electronic sensor
- 23. Field Devices Output Devices Relays contactors Solenoids valve Timers Motors Lamp Breakers
- 24. Relay : Contactor :
- 25. Motor: Solenoid valve:
- 26. Lamp: Circuit Breaker:
- 27. SCADA – SUPERVISORY CONTROL & DATA ACQUISITION
- 28. Architecture of SCADA (E.g.) Electric power Industry