Development of a measuring-control system for energy monitoring in low power

In this thesis a control system for an intelligent low voltage energy grid is presented, focusing on the control system created by using a multi-agent approach which makes it versatile and easy to expand according to the future needs. The control system is capable of forecasting the future energy consumption and decisions making on its own without human interaction when countering problems. The control system is a part of the St. Petersburg State Polytechnic University’s smart grid project that aims to create a smart grid for the university’s own use. The concept of the smart grid is interesting also for the consumers as it brings new possibilities to control own energy consumption and to save money. Smart grids makes it possible to monitor the energy consumption in real-time and to change own habits to save money. The intelligent grid also brings possibilities to integrate the renewable energy sources to the global or the local energy production much better than the current systems. Consumers can also sell their extra power to the global grid if they want.

Real-time Image-based RGB-D Camera Motion Tracking and Environment Mapping

In this work, image based estimation methods, also known as direct methods, are studied which avoid feature extraction and matching completely. Cost functions use raw pixels as measurements and the goal is to produce precise 3D pose and structure estimates. The cost functions presented minimize the sensor error, because measurements are not transformed or modified. In photometric camera pose estimation, 3D rotation and translation parameters are estimated by minimizing a sequence of image based cost functions, which are non-linear due to perspective projection and lens distortion. In image based structure refinement, on the other hand, 3D structure is refined using a number of additional views and an image based cost metric. Image based estimation methods are particularly useful in conditions where the Lambertian assumption holds, and the 3D points have constant color despite viewing angle. The goal is to improve image based estimation methods, and to produce computationally efficient methods which can be accomodated into real-time applications. The developed image-based 3D pose and structure estimation methods are finally demonstrated in practise in indoor 3D reconstruction use, and in a live augmented reality application.

Novel virtual environment and real-time simulation based methods for improving life-cycle efficiency of non-road mobile machinery

Virtual environments and real-time simulators (VERS) are becoming more and more important tools in research and development (R&D) process of non-road mobile machinery (NRMM). The virtual prototyping techniques enable faster and more cost-efficient development of machines compared to use of real life prototypes. High energy efficiency has become an important topic in the world of NRMM because of environmental and economic demands. The objective of this thesis is to develop VERS based methods for research and development of NRMM. A process using VERS for assessing effects of human operators on the life-cycle efficiency of NRMM was developed. Human in the loop simulations are ran using an underground mining loader to study the developed process. The simulations were ran in the virtual environment of the Laboratory of Intelligent Machines of Lappeenranta University of Technology. A physically adequate real-time simulation model of NRMM was shown to be reliable and cost effective in testing of hardware components by the means of hardware-in-the-loop (HIL) simulations. A control interface connecting integrated electro-hydraulic energy converter (IEHEC) with virtual simulation model of log crane was developed. IEHEC consists of a hydraulic pump-motor and an integrated electrical permanent magnet synchronous motorgenerator. The results show that state of the art real-time NRMM simulators are capable to solve factors related to energy consumption and productivity of the NRMM. A significant variation between the test drivers is found. The results show that VERS can be used for assessing human effects on the life-cycle efficiency of NRMM. HIL simulation responses compared to that achieved with conventional simulation method demonstrate the advances and drawbacks of various possible interfaces between the simulator and hardware part of the system under study. Novel ideas for arranging the interface are successfully tested and compared with the more traditional one. The proposed process for assessing the effects of operators on the life-cycle efficiency will be applied for wider group of operators in the future. Driving styles of the operators can be analysed statistically from sufficient large result data. The statistical analysis can find the most life-cycle efficient driving style for the specific environment and machinery. The proposed control interface for HIL simulation need to be further studied. The robustness and the adaptation of the interface in different situations must be verified. The future work will also include studying the suitability of the IEHEC for different working machines using the proposed HIL simulation method.

Inviting the Audience – Interactive, Participatory, and Social Television in Finland

The television and the ways it has invited the audience to take part have been changing during the last decade. Today’s interaction, or rather participation, comes from multiplatform formats, such as TV spectacles that combine TV and web platforms in order to create a wider TV experience. Multiplatform phenomena have spread television consumption and traditional coffee table discussions to several different devices and environments. Television has become a part of the bigger puzzle of interconnected devices that operates on several platforms instead of just one. This thesis examines the Finnish television (2004–2014) through the notion of audience participation and introduces the technical, thematic, and social linkages as three different phases, interactive, participatory, social, and their most characteristic features in terms of audience participation. The aim of the study is also to focus on the idea of a possible change by addressing the possible and subtler variations that have taken place through the concept of digital television. Firstly, Finnish television history has gone through numerous trials, exploring the interactive potential of television formats. Finnish SMS-based iTV had its golden era around 2005, when nearly 50% of the television formats were to some extent interactive. Nowadays, interactive television formats have vanished due to their negative reputation and this important part of recent history is mainly been neglected in the academic scope. The dissertation focuses also on the present situation and the ways television content invites the audience to take part. “TV meets the Internet” is a global expression that characterises digital TV, and the use of the Web combined with television content is also examined. Also the linkages between television and social media are identified. Since television can nowadays be described multifaceted, the research approaches are also versatile. The research is based on qualitative content analysis, media observation, and Internet inquiry. The research material also varies. It consists of primary data: taped iTV formats, website material, and social media traces both from Twitter and Facebook and secondary data: discussion forums, observations from the media and Internet inquiry data. To sum up the results, the iTV phase represented, through its content, a new possibility for audiences to take part in a TV show (through gameful and textual features) in real-time. In participatory phase, the most characteristic features from TV-related content view, is the fact that online platform(s) were used to immerse the audience with additional material and, due to this, to extend the TV watching enjoyment beyond the actual broadcast. During the Social (media) phase, both of these features, real-timeness, and extended enjoyment through additional material, are combined and Facebook & Twitter, for example, are used to immerse people in live events (in real-time) via broadcast-related tweets and extra-material offered on a Facebook page. This thesis fills in the gap in Finnish television research by examining the rapid changes taken place on the field within the last ten years. The main results is that the development of Finnish digital television has been much more diverse and subtle than has been anticipated by following only the news, media, and contemporary discourses on the subject of television. The results will benefit both practitioners and academics by identifying the recent history of Finnish television.

Real-time adaptive control of ultra-fast laser scribing process with spectrometer online monitoring

There exist several researches and applications about laser welding monitoring and parameter control but not a single one have been created for controlling of laser scribing processes. Laser scribing is considered to be very fast and accurate process and thus it would be necessary to develop accurate turning and monitoring system for such a process. This research focuses on finding out whether it would be possible to develop real-time adaptive control for ultra-fast laser scribing processes utilizing spectrometer online monitoring. The thesis accurately presents how control code for laser parameter tuning is developed using National Instrument's LabVIEW and how spectrometer is being utilized in online monitoring. Results are based on behavior of the control code and accuracy of the spectrometer monitoring when scribing different steel materials. Finally control code success is being evaluated and possible development ideas for future are presented.