Hapettavan BIMODES-mikrobientorjuntamenetelmän vaikutukset paperikoneella

The aim of this study was to examine the effects of oxidising BIMODES microbiological control program on three paper machine process. The chemicals used in BIMODES program are sodium hypochlorite (NaOCl) and bromo-chloro-di-methyl-hydantoin (BCDMH). The literary part of this study discusses the microbiological problems in paper making industry, describes functional mechanisms of oxidants and also introduces the BIMODES- program. In the experimental part the aim was to examine the effects of BIMODES in three different paper machines. The purpose was to find out the effects and changes in wet end chemistry, bacterial counts, in the other additives and also in the sheet defects and holes. The study also examines what are the most important measurements to control BIMODES dosing. In addition the optimal dosing level for each machine was tried to find out. It was found that there is a clear correlation between the total chlorine level and bacterial counts. Changes in the BIMODES dosing level can be measured by redox potential, but the correlation is very poor. BIMODES program doesn’t have straight influence to pH values, but if dosage level is too low the bacterial activity can affect degreasing in the pH value. In this study couldn’t find any consequential effects for the other additives by using BIMODES. In addition the optimal dosing levels were found and by following correct halogen levels it is possible to decrease bacterial levels for very low level.

Sellutehtaan TRS-hajapäästöjen hallinta

Diplomityön tavoitteena on selvittää TRS-hajapäästöjen muodostumista sekä päästöjen määrää UPM Kymmene Oyj:n Kaukaan sellu- ja paperitehtaalla. Työssä laaditaan TRS-hajapäästöjen mittausohjelma, minkä päivitetty massa- ja paperiteollisuuden BAT-vertailuasiakirja vaatii. Mittausohjelma täydentää tehdasintegraatin ilmapäästöjen valvontaohjelmaa. Hajapäästöjen lisäksi tavoitteena on selvittää häiriötilanteiden aiheuttamia TRS-päästömääriä. Kirjallisuusosassa selvitetään hajujen muodostumista sellun ja paperin valmistuksessa ja niiden käsittelyä ympäristövaikutusten minimoimiseksi. Lisäksi esitellään mittausmenetelmiä. Kokeellisessa osassa valituista kohteista mitataan TRS-pitoisuudet ja hajukaasujen virtaama, joiden perusteella lasketaan TRS-kuormitus. Kuormitus suhteutetaan sellutonnille. Osa kohteista on hajapäästökohteita ja osa kohteita, joista hajukaasut häiriötilanteissa johdetaan käsittelemättä ulos. Tulosten perusteella TRS-hajapäästöjä muodostuu sellun valmistuksessa noin 0,04 kgS/ADt ja jätevedenkäsittelyssä, pääasiassa lietteenkäsittelyssä 0,04 kgS/ADt. Hajapäästöjä syntyy eniten kohteissa, missä keräily on toteutettu kevyemmin tai sitä ei ole. Merkittävimmät kohteet Kaukaalla ovat lietteenkäsittely, koivukuitulinja ja mäntyöljylaitos. Havulinjan ja talteenotto-osaston hajapäästöt ovat muita osastoja vähäisemmät. Yhteensä sellutehtaan ja lietteenkäsittelyn TRS-hajapäästömäärä on 0,08 kgS/ADt, mikä on BAT vaihteluvälin (0,05-0,2 kgS/ADt) sisällä. TRS-häiriöpäästöjen osuus tehtaan TRS päästöistä voi häiriötilanteiden toistuessa nousta merkittäviksi. Tähän vaikuttaa merkittävästi häiriintyvä kohde.

Variational ensemble Kalman filtering applied to data assimilation problems in computational fluid dynamics

One challenge on data assimilation (DA) methods is how the error covariance for the model state is computed. Ensemble methods have been proposed for producing error covariance estimates, as error is propagated in time using the non-linear model. Variational methods, on the other hand, use the concepts of control theory, whereby the state estimate is optimized from both the background and the measurements. Numerical optimization schemes are applied which solve the problem of memory storage and huge matrix inversion needed by classical Kalman filter methods. Variational Ensemble Kalman filter (VEnKF), as a method inspired the Variational Kalman Filter (VKF), enjoys the benefits from both ensemble methods and variational methods. It avoids filter inbreeding problems which emerge when the ensemble spread underestimates the true error covariance. In VEnKF this is tackled by resampling the ensemble every time measurements are available. One advantage of VEnKF over VKF is that it needs neither tangent linear code nor adjoint code. In this thesis, VEnKF has been applied to a two-dimensional shallow water model simulating a dam-break experiment. The model is a public code with water height measurements recorded in seven stations along the 21:2 m long 1:4 m wide flume’s mid-line. Because the data were too sparse to assimilate the 30 171 model state vector, we chose to interpolate the data both in time and in space. The results of the assimilation were compared with that of a pure simulation. We have found that the results revealed by the VEnKF were more realistic, without numerical artifacts present in the pure simulation. Creating a wrapper code for a model and DA scheme might be challenging, especially when the two were designed independently or are poorly documented. In this thesis we have presented a non-intrusive approach of coupling the model and a DA scheme. An external program is used to send and receive information between the model and DA procedure using files. The advantage of this method is that the model code changes needed are minimal, only a few lines which facilitate input and output. Apart from being simple to coupling, the approach can be employed even if the two were written in different programming languages, because the communication is not through code. The non-intrusive approach is made to accommodate parallel computing by just telling the control program to wait until all the processes have ended before the DA procedure is invoked. It is worth mentioning the overhead increase caused by the approach, as at every assimilation cycle both the model and the DA procedure have to be initialized. Nonetheless, the method can be an ideal approach for a benchmark platform in testing DA methods. The non-intrusive VEnKF has been applied to a multi-purpose hydrodynamic model COHERENS to assimilate Total Suspended Matter (TSM) in lake Säkylän Pyhäjärvi. The lake has an area of 154 km2 with an average depth of 5:4 m. Turbidity and chlorophyll-a concentrations from MERIS satellite images for 7 days between May 16 and July 6 2009 were available. The effect of the organic matter has been computationally eliminated to obtain TSM data. Because of computational demands from both COHERENS and VEnKF, we have chosen to use 1 km grid resolution. The results of the VEnKF have been compared with the measurements recorded at an automatic station located at the North-Western part of the lake. However, due to TSM data sparsity in both time and space, it could not be well matched. The use of multiple automatic stations with real time data is important to elude the time sparsity problem. With DA, this will help in better understanding the environmental hazard variables for instance. We have found that using a very high ensemble size does not necessarily improve the results, because there is a limit whereby additional ensemble members add very little to the performance. Successful implementation of the non-intrusive VEnKF and the ensemble size limit for performance leads to an emerging area of Reduced Order Modeling (ROM). To save computational resources, running full-blown model in ROM is avoided. When the ROM is applied with the non-intrusive DA approach, it might result in a cheaper algorithm that will relax computation challenges existing in the field of modelling and DA.

RTOS Framework for Real-Time Control System

This thesis is done as a complementary part for the active magnet bearing (AMB) control software development project in Lappeenranta University of Technology. The main focus of the thesis is to examine an idea of a real-time operating system (RTOS) framework that operates in a dedicated digital signal processor (DSP) environment. General use real-time operating systems do not necessarily provide sufficient platform for periodic control algorithm utilisation. In addition, application program interfaces found in real-time operating systems are commonly non-existent or provided as chip-support libraries, thus hindering platform independent software development. Hence, two divergent real-time operating systems and additional periodic extension software with the framework design are examined to find solutions for the research problems. The research is discharged by; tracing the selected real-time operating system, formulating requirements for the system, and designing the real-time operating system framework (OSFW). The OSFW is formed by programming the framework and conjoining the outcome with the RTOS and the periodic extension. The system is tested and functionality of the software is evaluated in theoretical context of the Rate Monotonic Scheduling (RMS) theory. The performance of the OSFW and substance of the approach are discussed in contrast to the research theme. The findings of the thesis demonstrates that the forged real-time operating system framework is a viable groundwork solution for periodic control applications.

Control of Robot by Means of Human Thought

Brain computer interface (BCI) is a kind of human machine interface, which provides a new interaction method between human and computer or other equipment. The most significant characteristic of BCI system is that its control input is brain electrical activities acquired from the brain instead of traditional input such as hands or eyes. BCI technique has rapidly developed during last two decades and it has mainly worked as an auxiliary technique to help the disable people improve their life qualities. With the appearance of low cost novel electrical devices such as EMOTIV, BCI technique has been applied to the general public through many useful applications including video gaming, virtual reality and virtual keyboard. The purpose of this research is to be familiar with EMOTIV EPOC system and make use of it to build an EEG based BCI system for controlling an industrial manipulator by means of human thought. To build a BCI system, an acquisition program based on EMOTIV EPOC system is designed and a MFC based dialog that works as an operation panel is presented. Furthermore, the inverse kinematics of RV-3SB industrial robot was solved. In the last part of this research, the designed BCI system with human thought input is examined and the results indicate that the system is running smoothly and displays clearly the motion type and the incremental displacement of the motion.