Generating a raster map presentation of a forest resource by solving a transportation problem

Abstract

Strategisesti tärkeän tuotteen toimitusvarmuussuunnitelma

Suolahappo kuuluu peruskemianteollisuuden tuotteisiin ja on monen eri kemianteollisuuden tuotteen raaka-aine, jota ilman tuotantoprosessi keskeytyy. Suolahapontuottajia on vain muutama Suomessa ja näiden tuottajien varassa toimii lukuisia jatkojalostusteollisuuslaitoksia. Työssä lähdettiin kehittämään suolahapontoimitusvarmuutta logistiikan keinoin. Toimitusvarmuutta haluttiin kehittää sesonkivaihteluiden ja tuotantokatkosten aikana. Työssä etsitään sopiva sesonkivarastointikapasiteetti ja varmuusvarastotaso sekä järkevä sijainti varastolle. Varastointia kehitetään kuljetukset ja tuotannon luonne huomioiden. Työn alussa esitellään yritys ja tuotantoprosessi. Tämän jälkeen analysoidaan kysyntätietoja ja kasataan ongelmat toimitusvarmuudessa. Näiden pohjalta lähdetään kehittämään teoriapohjaisia ratkaisuvaihtoehtoja, jonka jälkeen ne sovelletaan yritykselle sopivaan muotoon. Työn tuloksena saatiin esitys varastointitarpeesta sekä siitä aiheutuvista kustannuksista. Työssäesitetään myös järkevä varaston sijainti ja soveltuva kuljetuskäytäntö tähän varastoon.

Logistisen päätösprosessinanalysointi

Työn tavoitteena oli teoriakäsitteistön avulla tutkia ja analysoida erästä päätösprosessia. Alussa on selvitetty laajemmin teoriota, jotka liittyvät ongelman käsitteeseen, ongelmanratkaisuun, päätöksentekoon ja päätöksentekijöihin sekä päätöksentekoprosessien erilaisiin prosessimalleihin. Lopussa näitä teorioita on verrattu tositilanteen ongelmaan ja siihen liittyvään päätöksentekoprosessiin. Ihmiset kohtaavat ongelmatilanteita päivittäin niin työssä kuin henkilökohtaisessakin elämässä. Näiden kaikkien ongelmien ratkaisemiseen liittyy aina päätöksiä.Eri kirjoittajat ovat määritelleet erilaisia päätöksentekoprosessin malleja päätösprosessien vaiheista. Mallien sisällöt vaihtelevat sisällöltään ja vaiheiden lukumääriltään. Myös vaiheiden merkitysten korostamisessa on eroja. Käytännössä näiden päätösprosessimallien ongelmana on niiden vaatima aika. Kun aika on rajallinen, epävarmuus on suuri ja ympäristö on nopeasti muuttuva,kasvaa päätöksentekijän kokemuksen, tiedon ja osaamisen merkitys. Nämä mallit eivät yksiselitteisesti sovi jokaiseen tilanteeseen, vaan niitä mukauttamalla ja yhdistelemällä voidaan löytää kuhunkin tilanteeseen sopiva malli.

Puurakenteisten hallien elementti- ja runkoasennustoiminnan kehittäminen

Työn tarkoituksena oli kehittää puurakenteisten elementtihallien asennustoimintaa. Tämä tehtiin selvittämällä nykyisestä toiminnasta yleisimpiä ongelmakohtia ja niiden syitä. Teoriaosuudessa käsiteltiin massaräätälöintiä ja modulaarisuutta sekä tuotannonja tuotteiden kehittämistä yleisemmin. Tässä yhteydessä käsiteltiin muun muassaasiakastarvekartoitusta, kehityskohteiden valintaa ja ongelmanratkaisua. Esiintyviä ongelmia selvitettiin haastattelemalla toimitusprosessin avainhenkilöitä sekä suunnittelu-, myynti-, ja projektinjohtopuolelta että varsinaisen asennustyön suorittajien joukosta. Lisäksi tietoa hankittiin työmaakäynneillä ja keskustelemalla asentajien kanssa työkohteissa. Asennustyön suurimmaksi ongelmaksi osoittautuivat erilaiset tiedonkulun ongelmat, toimitetuissa asennustarvikkeissa olevat puutteet ja palautejärjestelmän puute. Kehitystoimenpiteiksi ehdotettiin ennakkotyön lisäämistä, muutoksia toimimattomiin käytäntöihin sekä yksinkertaisen palautejärjestelmän käyttöönottoa.

Mobile robot localization using sonar ranging and wlan intensity maps

 Main goal of this thesis was to implement a localization system which uses sonars and WLAN intensity maps to localize an indoor mobile robot. A probabilistic localization method, Monte Carlo Localization is used in localization. Also the theory behind probabilistic localization is explained. Two main problems in mobile robotics, path tracking and global localization, are solved in this thesis. Implemented system can achieve acceptable performance in path tracking. Global localization using WLAN received signal strength information is shown to provide good results, which can be used to localize the robot accurately, but also some bad results, which are no use when trying to localize the robot to the correct place. Main goal of solving ambiguity in office like environment is achieved in many test cases.

Conflict-based Method for Conceptual Process Synthesis

The changing business environment demands that chemical industrial processes be designed such that they enable the attainment of multi-objective requirements and the enhancement of innovativedesign activities. The requirements and key issues for conceptual process synthesis have changed and are no longer those of conventional process design; there is an increased emphasis on innovative research to develop new concepts, novel techniques and processes. A central issue, how to enhance the creativity of the design process, requires further research into methodologies. The thesis presentsa conflict-based methodology for conceptual process synthesis. The motivation of the work is to support decision-making in design and synthesis and to enhance the creativity of design activities. It deals with the multi-objective requirements and combinatorially complex nature of process synthesis. The work is carriedout based on a new concept and design paradigm adapted from Theory of InventiveProblem Solving methodology (TRIZ). TRIZ is claimed to be a `systematic creativity' framework thanks to its knowledge based and evolutionary-directed nature. The conflict concept, when applied to process synthesis, throws new lights on design problems and activities. The conflict model is proposed as a way of describing design problems and handling design information. The design tasks are represented as groups of conflicts and conflict table is built as the design tool. The general design paradigm is formulated to handle conflicts in both the early and detailed design stages. The methodology developed reflects the conflict nature of process design and synthesis. The method is implemented and verified through case studies of distillation system design, reactor/separator network design and waste minimization. Handling the various levels of conflicts evolve possible design alternatives in a systematic procedure which consists of establishing an efficient and compact solution space for the detailed design stage. The approach also provides the information to bridge the gap between the application of qualitative knowledge in the early stage and quantitative techniques in the detailed design stage. Enhancement of creativity is realized through the better understanding of the design problems gained from the conflict concept and in the improvement in engineering design practice via the systematic nature of the approach.

Particle transport method for convection-diffusion-reaction problems

Convective transport, both pure and combined with diffusion and reaction, can be observed in a wide range of physical and industrial applications, such as heat and mass transfer, crystal growth or biomechanics. The numerical approximation of this class of problemscan present substantial difficulties clue to regions of high gradients (steep fronts) of the solution, where generation of spurious oscillations or smearing should be precluded. This work is devoted to the development of an efficient numerical technique to deal with pure linear convection and convection-dominated problems in the frame-work of convection-diffusion-reaction systems. The particle transport method, developed in this study, is based on using rneshless numerical particles which carry out the solution along the characteristics defining the convective transport. The resolution of steep fronts of the solution is controlled by a special spacial adaptivity procedure. The serni-Lagrangian particle transport method uses an Eulerian fixed grid to represent the solution. In the case of convection-diffusion-reaction problems, the method is combined with diffusion and reaction solvers within an operator splitting approach. To transfer the solution from the particle set onto the grid, a fast monotone projection technique is designed. Our numerical results confirm that the method has a spacial accuracy of the second order and can be faster than typical grid-based methods of the same order; for pure linear convection problems the method demonstrates optimal linear complexity. The method works on structured and unstructured meshes, demonstrating a high-resolution property in the regions of steep fronts of the solution. Moreover, the particle transport method can be successfully used for the numerical simulation of the real-life problems in, for example, chemical engineering.

On Modelling, System Identification and Control of Servo-Systems with a Flexible Load

The present study was done with two different servo-systems. In the first system, a servo-hydraulic system was identified and then controlled by a fuzzy gainscheduling controller. The second servo-system, an electro-magnetic linear motor in suppressing the mechanical vibration and position tracking of a reference model are studied by using a neural network and an adaptive backstepping controller respectively. Followings are some descriptions of research methods. Electro Hydraulic Servo Systems (EHSS) are commonly used in industry. These kinds of systems are nonlinearin nature and their dynamic equations have several unknown parameters.System identification is a prerequisite to analysis of a dynamic system. One of the most promising novel evolutionary algorithms is the Differential Evolution (DE) for solving global optimization problems. In the study, the DE algorithm is proposed for handling nonlinear constraint functionswith boundary limits of variables to find the best parameters of a servo-hydraulic system with flexible load. The DE guarantees fast speed convergence and accurate solutions regardless the initial conditions of parameters. The control of hydraulic servo-systems has been the focus ofintense research over the past decades. These kinds of systems are nonlinear in nature and generally difficult to control. Since changing system parameters using the same gains will cause overshoot or even loss of system stability. The highly non-linear behaviour of these devices makes them ideal subjects for applying different types of sophisticated controllers. The study is concerned with a second order model reference to positioning control of a flexible load servo-hydraulic system using fuzzy gainscheduling. In the present research, to compensate the lack of dampingin a hydraulic system, an acceleration feedback was used. To compare the results, a pcontroller with feed-forward acceleration and different gains in extension and retraction is used. The design procedure for the controller and experimental results are discussed. The results suggest that using the fuzzy gain-scheduling controller decrease the error of position reference tracking. The second part of research was done on a PermanentMagnet Linear Synchronous Motor (PMLSM). In this study, a recurrent neural network compensator for suppressing mechanical vibration in PMLSM with a flexible load is studied. The linear motor is controlled by a conventional PI velocity controller, and the vibration of the flexible mechanism is suppressed by using a hybrid recurrent neural network. The differential evolution strategy and Kalman filter method are used to avoid the local minimum problem, and estimate the states of system respectively. The proposed control method is firstly designed by using non-linear simulation model built in Matlab Simulink and then implemented in practical test rig. The proposed method works satisfactorily and suppresses the vibration successfully. In the last part of research, a nonlinear load control method is developed and implemented for a PMLSM with a flexible load. The purpose of the controller is to track a flexible load to the desired position reference as fast as possible and without awkward oscillation. The control method is based on an adaptive backstepping algorithm whose stability is ensured by the Lyapunov stability theorem. The states of the system needed in the controller are estimated by using the Kalman filter. The proposed controller is implemented and tested in a linear motor test drive and responses are presented.

Selective catalytic reduction of nitrogen oxides with ammonia in forced unsteady state reactors - Case based reasoning and mathematical model simulation reasoning

The application of forced unsteady-state reactors in case of selective catalytic reduction of nitrogen oxides (NOx) with ammonia (NH3) is sustained by the fact that favorable temperature and composition distributions which cannot be achieved in any steady-state regime can be obtained by means of unsteady-state operations. In a normal way of operation the low exothermicity of the selective catalytic reduction (SCR) reaction (usually carried out in the range of 280-350°C) is not enough to maintain by itself the chemical reaction. A normal mode of operation usually requires supply of supplementary heat increasing in this way the overall process operation cost. Through forced unsteady-state operation, the main advantage that can be obtained when exothermic reactions take place is the possibility of trapping, beside the ammonia, the moving heat wave inside the catalytic bed. The unsteady state-operation enables the exploitation of the thermal storage capacity of the catalyticbed. The catalytic bed acts as a regenerative heat exchanger allowing auto-thermal behaviour when the adiabatic temperature rise is low. Finding the optimum reactor configuration, employing the most suitable operation model and identifying the reactor behavior are highly important steps in order to configure a proper device for industrial applications. The Reverse Flow Reactor (RFR) - a forced unsteady state reactor - corresponds to the above mentioned characteristics and may be employed as an efficient device for the treatment of dilute pollutant mixtures. As a main disadvantage, beside its advantages, the RFR presents the 'wash out' phenomena. This phenomenon represents emissions of unconverted reactants at every switch of the flow direction. As a consequence our attention was focused on finding an alternative reactor configuration for RFR which is not affected by the incontrollable emissions of unconverted reactants. In this respect the Reactor Network (RN) was investigated. Its configuration consists of several reactors connected in a closed sequence, simulating a moving bed by changing the reactants feeding position. In the RN the flow direction is maintained in the same way ensuring uniformcatalyst exploitation and in the same time the 'wash out' phenomena is annulated. The simulated moving bed (SMB) can operate in transient mode giving practically constant exit concentration and high conversion levels. The main advantage of the reactor network operation is emphasizedby the possibility to obtain auto-thermal behavior with nearly uniformcatalyst utilization. However, the reactor network presents only a small range of switching times which allow to reach and to maintain an ignited state. Even so a proper study of the complex behavior of the RN may give the necessary information to overcome all the difficulties that can appear in the RN operation. The unsteady-state reactors complexity arises from the fact that these reactor types are characterized by short contact times and complex interaction between heat and mass transportphenomena. Such complex interactions can give rise to a remarkable complex dynamic behavior characterized by a set of spatial-temporal patterns, chaotic changes in concentration and traveling waves of heat or chemical reactivity. The main efforts of the current research studies concern the improvement of contact modalities between reactants, the possibility of thermal wave storage inside the reactor and the improvement of the kinetic activity of the catalyst used. Paying attention to the above mentioned aspects is important when higher activity even at low feeding temperatures and low emissions of unconverted reactants are the main operation concerns. Also, the prediction of the reactor pseudo or steady-state performance (regarding the conversion, selectivity and thermal behavior) and the dynamicreactor response during exploitation are important aspects in finding the optimal control strategy for the forced unsteady state catalytic tubular reactors. The design of an adapted reactor requires knowledge about the influence of its operating conditions on the overall process performance and a precise evaluation of the operating parameters rage for which a sustained dynamic behavior is obtained. An apriori estimation of the system parameters result in diminution of the computational efforts. Usually the convergence of unsteady state reactor systems requires integration over hundreds of cycles depending on the initial guess of the parameter values. The investigation of various operation models and thermal transfer strategies give reliable means to obtain recuperative and regenerative devices which are capable to maintain an auto-thermal behavior in case of low exothermic reactions. In the present research work a gradual analysis of the SCR of NOx with ammonia process in forced unsteady-state reactors was realized. The investigation covers the presentationof the general problematic related to the effect of noxious emissions in the environment, the analysis of the suitable catalysts types for the process, the mathematical analysis approach for modeling and finding the system solutions and the experimental investigation of the device found to be more suitable for the present process. In order to gain information about the forced unsteady state reactor design, operation, important system parameters and their values, mathematical description, mathematicalmethod for solving systems of partial differential equations and other specific aspects, in a fast and easy way, and a case based reasoning (CBR) approach has been used. This approach, using the experience of past similarproblems and their adapted solutions, may provide a method for gaining informations and solutions for new problems related to the forced unsteady state reactors technology. As a consequence a CBR system was implemented and a corresponding tool was developed. Further on, grooving up the hypothesis of isothermal operation, the investigation by means of numerical simulation of the feasibility of the SCR of NOx with ammonia in the RFRand in the RN with variable feeding position was realized. The hypothesis of non-isothermal operation was taken into account because in our opinion ifa commercial catalyst is considered, is not possible to modify the chemical activity and its adsorptive capacity to improve the operation butis possible to change the operation regime. In order to identify the most suitable device for the unsteady state reduction of NOx with ammonia, considering the perspective of recuperative and regenerative devices, a comparative analysis of the above mentioned two devices performance was realized. The assumption of isothermal conditions in the beginningof the forced unsteadystate investigation allowed the simplification of the analysis enabling to focus on the impact of the conditions and mode of operation on the dynamic features caused by the trapping of one reactant in the reactor, without considering the impact of thermal effect on overall reactor performance. The non-isothermal system approach has been investigated in order to point out the important influence of the thermal effect on overall reactor performance, studying the possibility of RFR and RN utilization as recuperative and regenerative devices and the possibility of achieving a sustained auto-thermal behavior in case of lowexothermic reaction of SCR of NOx with ammonia and low temperature gasfeeding. Beside the influence of the thermal effect, the influence of the principal operating parameters, as switching time, inlet flow rate and initial catalyst temperature have been stressed. This analysis is important not only because it allows a comparison between the two devices and optimisation of the operation, but also the switching time is the main operating parameter. An appropriate choice of this parameter enables the fulfilment of the process constraints. The level of the conversions achieved, the more uniform temperature profiles, the uniformity ofcatalyst exploitation and the much simpler mode of operation imposed the RN as a much more suitable device for SCR of NOx with ammonia, in usual operation and also in the perspective of control strategy implementation. Theoretical simplified models have also been proposed in order to describe the forced unsteady state reactors performance and to estimate their internal temperature and concentration profiles. The general idea was to extend the study of catalytic reactor dynamics taking into account the perspectives that haven't been analyzed yet. The experimental investigation ofRN revealed a good agreement between the data obtained by model simulation and the ones obtained experimentally.

Intelligent Internet Data Searching

In this thesis author approaches the problem of automated text classification, which is one of basic tasks for building Intelligent Internet Search Agent. The work discusses various approaches to solving sub-problems of automated text classification, such as feature extraction and machine learning on text sources. Author also describes her own multiword approach to feature extraction and pres-ents the results of testing this approach using linear discriminant analysis based classifier, and classifier combining unsupervised learning for etalon extraction with supervised learning using common backpropagation algorithm for multilevel perceptron.

Joustavan robotisoidun särmäyssolun käyttöönotto levytuotetahtaalla

Diplomityön ensimmäisenä tavoitteena on selvittää robotisoidun särmäyssolun tehokkaimmat käyttöalueet särmättävien kappaleiden muotojen ja laitteiston teknisten edellytysten perusteella. Toisena tavoitteena on tuoda esille robotisoidun särmäyssolun käyttöönottoon liittyviä ongelmia ja antaa käytännön ohjeita niiden ratkaisemiseksi. Tuloksia sovelletaan jatkossa kohdeyrityksen markkinoiman särmäyssolun tuotekehitykseen. Särmäyksen automatisoinnin pääpiirteitä tarkastellaan tutkimalla markkinoilla olevien robottisolujen toimintaperiaatteita ja ohjelmointitapoja. Työssä on myös esitetty kohdeyrityksen omat tavoitteet ja lähtökohdat särmäysmenetelmien kehittämiseen, joista tärkeimmät ovat integroitavuus joustavaan valmistusjärjestelmään ja solun kehittäminen myyntiartikkeliksi. Työssä esitellään robotisoidun särmäyssolun toimintaa kuvaamalla työkierron toiminnot pääpiirteissään. Samassa yhteydessä esitellään myös solun konekanta sekä koneiden välillä tapahtuva tiedon siirto. Erityisenä mielenkiinnon kohteena ovat olleet joustavan valmistusjärjestelmän soluohjaimen toiminnot ja särmäyssolun toimivuus FMS:n osana. Analyyttisessä osuudessa tutkitaan kappaleiden särmättävyyttä robotisoidussa tuotantoratkaisussa. Lähtökohdaksi on otettu särmäyspuristimen, robotin, lisälaitteiden ja kappaleen muotojen asettamat rajoitukset sekä toisaalta robotisoinnin tuomat uudet mahdollisuudet. Tulosten perusteella robotisointi soveltuu parhaiten painaville tai monimutkaisille kappaleille, joiden manuaalisärmäys vie paljon aikaa. Taloudellisia käyttöalueita kartoitettiin tutkimalla eräkokoon, ohjelmointiajan, kappaleajan ja särmien määrän vaikutusta valmistuskustannuksiin. Robotisoinnin on todettu kannattavan yrityksissä, joissa sarjat ovat usein toistuvia ja eräkoot yli 150 kappaleen suuruisia. Kappaleen muoto ja särmien määrä vaikuttaa monin tavoin kappaleaikaan ja siten myös valmistuskustannuksiin. Robotisoinnin kannattavuutta on näissä tapauksissa arvioitava aina tapauskohtaisesti työkierron vaatimien toimintojen perusteella.