Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12323/7310
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYadigarova, Sevinj-
dc.date.accessioned2024-02-26T07:48:03Z-
dc.date.available2024-02-26T07:48:03Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/20.500.12323/7310-
dc.descriptionField of study and code 60631 Specialty Computer Engineering Supervisor: Prof. Leyla Muradkhanlien_US
dc.description.abstractIn today's industrial landscape, where operational efficiency and cost-effectiveness are paramount, the successful integration of advanced technology and user-friendly solutions can make a significant difference. This Thesis presents a transformative solution tailored for factories with limited budgets, offering a comprehensive yet economical approach to equipment management. By harnessing the power of data analytics, a user-friendly interface, and seamless integration with Active Directory, this Thesis delivers a cost-effective and efficient solution that empowers industrial operations. The industrial sector, characterized by its relentless pursuit of efficiency and productivity, constantly seeks innovative approaches to equipment management. Condition Monitoring and Data Collection Systems (CMS & DCS) have emerged as indispensable tools in this endeavor. In today's fast-paced and competitive industrial landscape, the need for CMS is more pronounced than ever. The industrial machinery that drives manufacturing processes is often complex, diverse, and mission critical. Unplanned equipment downtime can lead to substantial financial losses and operational disruptions. This is where CMS comes to the fore. CMS enables real-time monitoring of equipment conditions, allowing operators and engineers to preemptively detect issues, predict maintenance needs, and optimize performance. Moreover, CMS aligns with the broader industry trends of data-driven decision-making and Industry 4.0. The ability to collect, analyze, and act upon equipment data is a cornerstone of modern industrial practices. CMS serves as the bridge between the physical machinery on the factory floor and the digital realm, where data analytics and insights can drive operational excellence (Xu, W., Wang, Gao, X, 2021). At its core, this Thesis stands as a testament to the potential for innovative problem-solving within budget constraints. It addresses the pressing need for effective equipment management without imposing a substantial financial burden. The user-friendly interface serves as a gateway for engineers and operators alike, enabling them to navigate complex data effortlessly. The integration with Active Directory adds an extra layer of convenience, ensuring a smooth and secure user experience. One of the standout features of this Thesis is its data analytical tools. Through the strategic use of line graphs and visual representations, engineers gain real-time insights into equipment performance without the need for exhaustive data exploration. This visual approach transforms complex data sets into intuitive visuals, allowing for quicker and more informed decision-making. By presenting data trends in a graphical format, the Thesis minimizes the time and effort required to interpret and act upon critical information. Central to the Thesis's success is the utilization of Oracle APEX, a powerful low-code development platform. The creation of a web application on Oracle APEX underscores the efficiency of this approach, as it minimizes the need for extensive coding while delivering a robust and effective solution. With a blend of SQL, JavaScript, and PL/SQL, the application is both versatile and streamlined, catering to the specific needs of industrial environments while keeping development costs in check. Furthermore, the thesis's integration with Active Directory exemplifies a commitment to operational simplicity and security. By seamlessly aligning user authentication with existing directory services, the application ensures that access is granted only to authorized personnel. This integration not only enhances security but also simplifies user management, reducing administrative overhead and contributing to a seamless user experience. This thesis exemplifies the convergence of technology, cost design and user centric solutions in industrial equipment management. Through utilization of data analytics an interface and integration with Active Directory the Thesis provides a cost effective yet highly efficient solution. Its implementation of Oracle APEX further highlights the practicality of low code development in delivering customized applications. In an era where industries strive to improve their operations, within budgets this paper represents an example of innovation and practicality. It plays a role in shaping the future of managing equipment with efficiency and cost effectiveness in mind (Gangsar, P.; Tiwari, 2019).en_US
dc.language.isoenen_US
dc.relation.ispartofseries;Master thesis-
dc.titleCondition Monitoring and Data Collection Systemen_US
dc.typeThesisen_US
Appears in Collections:Thesis

Files in This Item:
File Description SizeFormat 
Condition Monitoring and Data Collection System.pdf756.8 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.