As Industry 4.0 and Internet of Things are established across factories and enterprises, the interest for learning more about these concepts and the possibilities they provide for condition based maintenance is expressed by a factory in Sweden. By addressing the aspects of Internet of Things and Industry 4.0, a system for performing data acquisition from sensors in an industrial environment is developed using Arrowhead Framework. This framework is evaluated around its suitability for this kind of application, and regarding what the framework may provide to the factory compared to other solutions and systems. A solution featuring a system based on Arrowhead Framework is developed, implemented, and briefly tested. The system is successful in performing data acquisition, and Arrowhead Framework is considered a viable option that may be used to provide a system tailored for different purposes, presumed that the factory is prepared to allocate resources on developing a solution around it.

Piston telemetry research involves monitoring the temperatures at specific internal location points within a combustion engine piston. The temperatures are detected with type K thermocouples as voltages and processed to convert them into temperatures using cold junction compensation methods. The present system uses a specific sensor designed to operate in the high temperature environment within the piston, reading multiple thermocouples. Because of the reciprocating motion of the piston, power generation is intermittent and available only when the piston reaches near bottom dead centre, using inductive coupling to power the sensors and transmit data to an evaluation unit for data processing. The planned system involves designing and building a prototype telemetry unit using ¿off the shelf¿ components that integrate the reading of thermocouple outputs, signal processing and cold junction compensation. Wireless telemetry is adopted for data transmission with an integrated Bluetooth and microcontroller module. The data acquisition module can be adapted for other sensors by adapting the firmware uploaded to the microcontroller. The hardware electronics are envisaged to be encased in thermal insulation to enable operation in high temperature environments. The considered system requires a power supply for the integrated components in the form of a power generator and that it should meet two criteria: to be located within confined spaces and to be permanently available, without having to dismantle systems to change batteries. The selected method is an induction generator constructed from a coil stator connected to the piston connection rod big end and a permanent magnet rotor connected to the crankshaft. The suggested mechatronic system is validated against the present system by comparing both systems to determine whether wireless telemetry can perform within acceptable tolerances and limits for the specified task. Then, for acceptable performances, reduce costs and include flexibility to operate in multiple environments. Bench testing shows that the power generator is capable of driving the sensors and the Bluetooth integrated DAQ system. / EPSRC and University of Bradford

Driving has become a very common activity for most of the people around the world today. People are becoming more and more dependent on vehicles, contributing to the growth of automotive industry. New vehicles are released regularly into the market in order to meet the high demand. With the increase in demand, the importance of vehicle testing has also increased by many folds. Besides testing new vehicles for their performance prediction, existing vehicles also need to be tested in order to check their compliance to safety standards. Drive Cycles that have been traditionally defined as velocity over time profiles are used as vehicle testing beds. The need for re-defining drive cycles is demonstrated through the high deviations between the predicted and the actual performance values. As such, a new approach for defining automotive drive cycles, Journey Mapping, is proposed. Journey Mapping defines a drive cycle more realistically as the journey of a particular vehicle from an origin to the destination, which during its journey is influenced by various conditions such as weather, terrain, traffic, driver behavior, road , vehicle and aerodynamic. This concept of Journey Mapping has been implemented using AMESim for a Ford Focus Electric 2012. Journey Mapping was seen to predict its energy consumption with about 5% error; whereas, the error was about 13% when it was tested against the US06 cycle, which provided the most accurate results out of the various traditional drive cycles used for testing for the selected scope. / Thesis / Master of Applied Science (MASc)

Minimizing the need to physically adjust hardware platforms used for sensor measurements during the construction phase of an electric vehicle can be beneficial. Since different sensors have different measuring ranges a hardware platform used for a specific sensor might not work for another one, without physically tampering with it. One way to solve such an issue is to build a general hardware platform that can be adjusted digitally through software to match the range of a variety of sensors. In this thesis, the implementation of a prototype General Purpose Data Acquisition Unit has been investigated. The design consists of a Wheatstone bridge implementation for measurements with resistive sensors, due to its capabilities of accurate detection of small changes in resistance. Digital potentiometers were implemented in the design to add dynamic capabilities for calibration and measurements with different types of resistive sensors through software. The proposed implementation has been tested on a prefboard and built on a Printed Circuit Board. Further testing is required to better specify and evaluate the proposed implementation. / Att minimera behovet av att fysiskt justera hårdvaruplattformar för mätningsprocessorer med sensorer vid tillverkning av en elektriskt driven bil kan vara fördelaktigt. Olika sensorer har olika mätområden och en hårdvaruplattform kan fungera väl för en sensor men inte nödvändigtvis för en annan utan att hårdvaran fysiskt behöver justeras. Ett sätt att lösa detta problem är att utveckla en generell hårdvaruplattform för insamling av data från sensorer som digitalt kan anpassas för att fungera med ett större utbud av sensorer. I denna rapport har en implementering av en generell hårdvaruplattform för datainsamling undersökts. Implementationen består av en konfiguration av en Wheatstone brygga för resisitiva sensorer, på grund av dess förmåga att noggrant mäta små förändringar av resistans. Digitala potentiometrar användes i implementeringen för att ge möjligheten till att dynamiskt kunna kalibrera och mäta data från olika typer av resistiva sensorer genom mjukvara. Den förslagna implementationen har genomfört ett test på en perfboard och monterats på ett kretskort. Fler tester krävs för att bättre kunna specificera och evaluera den förslagna implementationen. / Kandidatexjobb i elektroteknik 2022, KTH, Stockholm

Researchers often work on experimental setups that are highly specialized and usually designed and manufactured for a single or a few test series. The challenges for automation technology and measurement data acquisition in the apparatus are as unique as these experimental setups. In the following, Bochum University of Applied Sciences presents its approach to implementing different measurement and automation tasks in a flexible but also standardized way. Existing microcontrollers such as Raspberry Pi, Arduino or Controllino are used as the basis for the greatest possible flexibility. It is often not necessary to record high-precision measurement data. In this cases inexpensive development boards can be used that already include peripherals for direct connection to Arduinos or Raspberry Pi’s. Such development boards are often offered at very low cost and with short delivery times for many different measurement tasks. In this paper, the implementation of the requirements is discussed using a current project that deals with thermal energy recovery using 'smart materials' (shape memory alloys) as an example.

As a part of the revitalization of the supersonic wind tunnel maintained by the Aerospace Engineering Department of Mississippi State University, a new data acquisition and control system became incumbent. Previous data acquisition and control systems used in the operation of the supersonic wind tunnel made use of now outdated hardware and functioned with two central processing units; one processor was used for recording system response, while the other monitored and controlled the tunnel. A new system is required to provide adequate rapid real-time control, along with rapid acquisition of raw tunnel feedback or response data and tunnel pressure data all implemented on one computer processor. The data acquisition and control program that was developed provides synchronized data storage and control output commands, while providing the operator with all essential information and checklists required for running the tunnel. The program is a general user interface developed from previously implemented data acquisition and control systems to perform all predetermined tasks while minimizing operator front panel inputs. When the supersonic wind tunnel repair is completed, the compiled data acquisition and control program will be implemented in the operation of the tunnel. This paper details the development of the supersonic wind tunnel data acquisition and control system employed in the revitalization project. Without the information on the details of the data acquisition and control program, any future editing of the control system source codes will be a laborious task.

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