INDUSTRIAL AUTOMATION
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This presentation discusses industrial automation and its future scope. It provides an overview of the industrial revolution and need for automation to increase productivity and reduce errors. It describes SCADA systems which are used to monitor and control industrial plants. Examples of industries that use SCADA include cement plants, car manufacturing, and power grids. The presentation also discusses using Raspberry Pi computers to enable learning programming. It outlines future areas of industrial automation like MEMS, nanotechnology, and machine-to-machine networking. It addresses whether industrial automation is feasible in India and challenges of Industry 4.0.
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industrial automation
This document presents information about automation and industrial automation technologies. It discusses definitions of automation and types of automation including building, office, scientific, light, and industrial automation. It describes control systems including manual, pneumatic, hardwired logic, and PLC control systems. It provides details about PLCs, including their major components and programming languages. It discusses the advantages and disadvantages of PLCs. It also discusses SCADA systems, their features, leading software, and advantages. Finally, it discusses advanced automation technologies and applications including automated video surveillance, automated highway systems, automated manufacturing, and home automation.
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This document discusses automation and its history. It describes how automation has progressed from manual control operated by humans, to pneumatic control using air valves and switches, to hard-wired logic and relay-based control. Next, electronic control using logic gates replaced relays, offering reduced space and energy savings. Programmable logic controllers (PLCs) then emerged in the 1970s, allowing control through software programming rather than physical wiring. PLCs offer advantages like reduced space, lower costs, and easier maintenance compared to previous automation methods. The document also outlines common field instruments like temperature, pressure, and flow sensors that are used for automation in industrial processes.
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This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
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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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International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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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INDUSTRIAL AUTOMATION
- 5. Industrial revolution: The transition from hand production methods to machines.
- 11. Need for automation: Fast process High cost of labour Increased productivity Reduce the errors Accuracy Improves Quantity and Quality
- 15. SCADA - SCADA stands for Supervisory Control and Data Acquisition. It generally refers to an industrial control system for gathering and analyzing real time data. SCADA system are used to monitor and control a plant or equipment in industries. CEMENT PLANT CAR MANUFACTURING PLANT COOL DRINKS PLANT CHEMICAL INDUSTRY POWER GRID THERMAL POWER PLANT
- 16. RASPBERRY PI: • The Raspberry Pi is a low cost, credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. It is a capable little device that enables people of all ages to explore computing, and to learn how to program in languages like Scratch and Python.
- 17. FUTURE SCOPEs OF INDUSTRIAL AUTOMATION: MEMS and Nanotechnology Machine to Machine Networking(M2M) Wireless technology
- 18. WHETHER INDUSTRIAL AUTOMATION FEASIBLE IN INDIA ???
- 21. In order to survive in today’s competitive manufacturing markets, manufacturing systems need to adapt an ever – increasing pace to incorporate new technology which can lower the cost of production while maintaining quality and demands. India has the second largest man- power in the world, it doesn’t mean, automation replaced the human labourhood but its an important supplement to run with global productivity.