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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 51 to 54 of 54 (0.019 seconds)| 51 |
IMPLEMENTING NETCONF AND YANG ON CUSTOM EMBEDDED SYSTEMSGeorges, Krister, Jahnstedt, Per January 2023 (has links)
Simple Network Management Protocol (SNMP) has been the traditional approach for configuring and monitoring network devices, but its limitations in security and automation have driven the exploration of alternative solutions. The Network Configuration Protocol (NETCONF) and Yet Another Next Generation (YANG) data modeling language significantly improve security and automation capabilities. This thesis aims to investigate the feasibility of implementing a NETCONF server on the Anybus CompactCom (ABCC) Industrial Internet of Things (IIoT) Security module, an embedded device with limited processing power and memory, running on a custom operating system, and using open source projects with MbedTLS as the cryptographic primitive library. The project will assess implementing a YANG model to describe the ABCC’s configurable interface, connecting with a NETCONF client to exchange capabilities, monitoring specific attributes or interfaces on the device, and invoking remote procedure call (RPC) commands to configure the ABCC settings. The goal is to provide a proof of concept and contribute to the growing trend of adopting NETCONF and YANG in the industry, particularly for the Industrial Internet of Things (IIoT) platform of Hardware Meets Software (HMS).
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Internet of Things in Surface Mount TechnologyElectronics Assembly / Sakernas Internet inom Ytmontering av ElektronikSylvan, Andreas January 2017 (has links)
Currently manufacturers in the European Surface Mount Technology (SMT) industry seeproduction changeover, machine downtime and process optimization as their biggestchallenges. They also see a need for collecting data and sharing information betweenmachines, people and systems involved in the manufacturing process. Internet of Things (IoT)technology provides an opportunity to make this happen. This research project gives answers tothe question of what the potentials and challenges of IoT implementation are in European SMTmanufacturing. First, key IoT concepts are introduced. Then, through interviews with expertsworking in SMT manufacturing, the current standpoint of the SMT industry is defined. The studypinpoints obstacles in SMT IoT implementation and proposes a solution. Firstly, local datacollection and sharing needs to be achieved through the use of standardized IoT protocols andAPIs. Secondly, because SMT manufacturers do not trust that sensitive data will remain securein the Cloud, a separation of proprietary data and statistical data is needed in order take a stepfurther and collect Big Data in a Cloud service. This will allow for new services to be offered byequipment manufacturers. / I dagsläget upplever tillverkare inom den europeiska ytmonteringsindustrin för elektronikproduktionsomställningar, nedtid för maskiner och processoptimering som sina störstautmaningar. De ser även ett behov av att samla data och dela information mellan maskiner,människor och system som som är delaktiga i tillverkningsprocessen.Sakernas internet, även kallat Internet of Things (IoT), erbjuder teknik som kan göra dettamöjligt. Det här forskningsprojektet besvarar frågan om vilken potential som finns samt vilkautmaningar en implementation av sakernas internet inom europeisk ytmonteringstillverkning avelektronik innebär. Till att börja med introduceras nyckelkoncept inom sakernas internet. Sedandefinieras utgångsläget i elektroniktillverkningsindustrin genom intervjuer med experter.Studien belyser de hinder som ligger i vägen för implementation och föreslår en lösning. Dettainnebär först och främst att datainsamling och delning av data måste uppnås genomanvändning av standardiserade protokoll för sakernas internet ochapplikationsprogrammeringsgränssnitt (APIer). På grund av att elektroniktillverkare inte litar påatt känslig data förblir säker i molnet måste proprietär data separeras från statistisk data. Dettaför att möjliggöra nästa steg som är insamling av så kallad Big Data i en molntjänst. Dettamöjliggör i sin tur för tillverkaren av produktionsmaskiner att erbjuda nya tjänster.
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Plant Level IIoT Based Energy Management FrameworkKoshy, Liya Elizabeth 05 1900 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / The Energy Monitoring Framework, designed and developed by IAC, IUPUI, aims to
provide a cloud-based solution that combines business analytics with sensors for real-time
energy management at the plant level using wireless sensor network technology.
The project provides a platform where users can analyze the functioning of a plant using
sensor data. The data would also help users to explore the energy usage trends and identify
any energy leaks due to malfunctions or other environmental factors in their plant. Additionally,
the users could check the machinery status in their plant and have the capability
to control the equipment remotely.
The main objectives of the project include the following:
• Set up a wireless network using sensors and smart implants with a base station/ controller.
• Deploy and connect the smart implants and sensors with the equipment in the plant
that needs to be analyzed or controlled to improve their energy efficiency.
• Set up a generalized interface to collect and process the sensor data values and store
the data in a database.
• Design and develop a generic database compatible with various companies irrespective
of the type and size.
• Design and develop a web application with a generalized structure. Hence the database
can be deployed at multiple companies with minimum customization. The web app
should provide the users with a platform to interact with the data to analyze the sensor
data and initiate commands to control the equipment.
The General Structure of the project constitutes the following components:
• A wireless sensor network with a base station.
• An Edge PC, that interfaces with the sensor network to collect the sensor data and
sends it out to the cloud server. The system also interfaces with the sensor network to
send out command signals to control the switches/ actuators.
• A cloud that hosts a database and an API to collect and store information.
• A web application hosted in the cloud to provide an interactive platform for users to
analyze the data.
The project was demonstrated in:
• Lecture Hall (https://iac-lecture-hall.engr.iupui.edu/LectureHallFlask/).
• Test Bed (https://iac-testbed.engr.iupui.edu/testbedflask/).
• A company in Indiana.
The above examples used sensors such as current sensors, temperature sensors, carbon
dioxide sensors, and pressure sensors to set up the sensor network. The equipment was
controlled using compactable switch nodes with the chosen sensor network protocol. The
energy consumption details of each piece of equipment were measured over a few days. The
data was validated, and the system worked as expected and helped the user to monitor,
analyze and control the connected equipment remotely.
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IIoT-based Instrumentation and Control System for a Lateral Micro-drilling Robot Using Machine Fault Diagnosis and Failure PrognosisJose A. Solorio Cervantes (11191893) 11 October 2023 (has links)
<p dir="ltr">This project aimed to develop an instrumentation and control system for a micro-drilling robot based on Industrial Internet of Things (IIoT) technologies. The automation system integrated IIoT technological tools to create a robust automation system capable of being used in drilling operations. The system incorporated industrial-grade sensors, which carried out direct measurements of the critical variables of the process. The indirect variables relevant to the control of the robot were calculated from the measured parameters. The system also considered the telemetry architecture necessary to reliably transmit data from the down-the-hole (DTH) robot to a receiver on the surface. Telemetry was based on wireless communication through long-range radio frequency (LoRa). The system developed had models based on Artificial Intelligence (AI) and Machine Learning (ML) for determining the mode of operation, detecting changes in the process, and changes in drilling variables in critical hydraulic components for the drilling process. Algorithms based on AI and ML models also allowed the user to make better decisions based on the variables' correlation to optimize the drilling process (e.g., dynamic change of flow, pressure, and RPMs based on automatic rock identification). A user interface (UI) was developed, and digital tools to perform data analysis were implemented. Safety assessment in all robot systems (e.g., electrical, hardware, software) was contemplated as a critical design component. The result of this research project provides innovative micro-drilling robots with the necessary technological tools to optimize the drilling process. The system made drilling more efficient, reliable, and safe, providing diagnostic and prognostic tools that allowed planning maintenance based on the actual health of the devices. The system that was developed was tested in a test bench under controlled conditions within a laboratory to characterize the system and collect data that allowed ML models' development, training, validation, and testing. The prototype of a micro-drilling robot installed on the test bench served as a case study to assess the implemented models' reliability and the proposed telemetry.</p>
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