Python Scripting for Robotic Process Automation and Industrial Task Management
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| Titel: | Python Scripting for Robotic Process Automation and Industrial Task Management |
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| Autoren: | Shrishailappa Patil, B. Persis Urbana Ivy, S Senthil Kumar |
| Quelle: | Python Programming for Artificial Intelligence Applications in Automation and Data Science ISBN: 9789349552074 |
| Verlagsinformationen: | RADemics Research Institute, 2026. |
| Publikationsjahr: | 2026 |
| Beschreibung: | The growing demand for intelligent automation in industrial environments has led to the convergence of Robotic Process Automation (RPA), Industrial Internet of Things (IIoT), and edge computing technologies. Python has emerged as a leading scripting language for implementing scalable, flexible, and intelligent automation frameworks due to its simplicity, modularity, and extensive library ecosystem. This chapter presents a comprehensive examination of Python-based automation architectures integrated with real-time industrial monitoring systems to enable autonomous task management. It explores the technical foundations of Python scripting in RPA, identifies existing limitations in traditional automation workflows, and introduces advanced methods for intelligent decision-making using artificial intelligence models. Real-world case studies highlight the application of Python in predictive maintenance, quality assurance, and distributed process control through edge-based systems. The chapter also discusses critical aspects such as data logging, auditing, version control, and system security, emphasizing their role in ensuring operational reliability and regulatory compliance. By synthesizing current practices and future trends, this work contributes a strategic perspective on designing intelligent, responsive, and adaptable automation solutions for Industry 4.0 environments. |
| Publikationsart: | Part of book or chapter of book |
| DOI: | 10.71443/9789349552074-08 |
| Dokumentencode: | edsair.doi...........0c2fb61d47fcbcd40cb85addbc7e11b0 |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | The growing demand for intelligent automation in industrial environments has led to the convergence of Robotic Process Automation (RPA), Industrial Internet of Things (IIoT), and edge computing technologies. Python has emerged as a leading scripting language for implementing scalable, flexible, and intelligent automation frameworks due to its simplicity, modularity, and extensive library ecosystem. This chapter presents a comprehensive examination of Python-based automation architectures integrated with real-time industrial monitoring systems to enable autonomous task management. It explores the technical foundations of Python scripting in RPA, identifies existing limitations in traditional automation workflows, and introduces advanced methods for intelligent decision-making using artificial intelligence models. Real-world case studies highlight the application of Python in predictive maintenance, quality assurance, and distributed process control through edge-based systems. The chapter also discusses critical aspects such as data logging, auditing, version control, and system security, emphasizing their role in ensuring operational reliability and regulatory compliance. By synthesizing current practices and future trends, this work contributes a strategic perspective on designing intelligent, responsive, and adaptable automation solutions for Industry 4.0 environments. |
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| DOI: | 10.71443/9789349552074-08 |