Record keeping and management of electrical utilities inside buildings is an important aspect to ensure effective electrical distribution. The ability to find the location of each electrical feature inside a building and extract information about it helps to solve network problems faster. The use of a spatial database structure facilitates the maintenance and general operations of an electrical network across different buildings. The aim of this study is to design and develop a 3D data model to provide a management system for electrical utilities inside buildings. The geodatabase provides integrated information between different electrical components forming the network inside the specified buildings in the study area. A prototype called the PUK geodatabase was designed and developed for the NWU Potchefstroom Campus as a 3D data model. The data model consists of raster and vector data used in network datasets, relationship classes and topology rules. The aim of this project was accomplished through the 3D analysis capabilities of the model. The research determined that the prototype called the PUK geodatabase can be utilized as a 3D management system for electrical utilities across the different floor levels of a building. / Thesis (M.Sc. (Geography and Environmental Studies))--North-West University, Potchefstroom Campus, 2012

The Health Facilities Infrastructure Management Programme in South Africa aims to ensure an appropriate and sustainable platform for the delivery of health services. Since 1994, the average number of hospital beds has decreased from 4.4 beds per 1 000 people to 2.4 beds per 1 000 people. During the same period, there was no significant reduction in the 1 372 clinic backlog. The evaluation of the performance of the Health Facilities Infrastructure Management Programme was based on a systems approach. This performance evaluation was conducted across four dimensions, with 12 assessment instruments and within 134 assessment parameters. Several of these instruments were developed as part of this study. Actual performance, per assessment parameter, was expressed in terms of a four level project management maturity scale. About one third of the parameters indicated a low level of project management maturity, one third indicating a medium-low level of maturity, with less than 10% judged to have reached maturity. It was found that the Infrastructure Unit in the National Department of Health is solely responsible for addressing more than half of the performance areas described by the assessment parameters. The proposed prioritisation model indicated that 50% of the performance areas needed to be addressed as a matter of urgency. The study concludes with 10 system transformation recommendations aimed at maturity growth in the Infrastructure Unit in the National Department of Health, as well as maturity growth in the Health Facilities Infrastructure Management Programme as a whole. The following key terms are relevant: • Health Facilities Infrastructure Management Programme • Performance evaluation • Infrastructure Unit • National Department of Health of South Africa • Project management maturity • Assessment instruments • Assessment parameters • Prioritisation model / Thesis (MArt et Scien (Urban and Regional Planning))--North-West University, Potchefstroom Campus, 2013.

The overall goal of this research is to develop an integrated system dynamics framework for sustainable management of municipal water and wastewater systems. Canadian municipalities have traditionally relied on grants received from senior levels of government to finance construction of water supply and wastewater collection infrastructure. User fees for water and wastewater services were determined so as to recover only the operating expenditures with no allowance to recoup the capital costs of infrastructure. As the infrastructure assets started approaching the end of their service life, investments needed to rehabilitate these assets were deferred in the expectation of receiving further grants for this purpose. Hence, a significant backlog of deteriorated infrastructure has accumulated over the years. Recently enacted regulations require that all expenditures incurred on provision of water and wastewater services should ultimately be financed from user fee based revenues. Another piece of legislation provides for establishment of service performance standards. Urban water and wastewater systems involve interconnections among physical infrastructure, financial, and socio-political factors. Several interacting feedback loops are formed due to these interconnections and render the management of water and wastewater infrastructure as a complex, dynamic problem. Existing asset management tools in the literature are found inadequate to capture the influence of feedback loops. A novel system dynamics approach is used to develop a demonstration model for water and wastewater network management. Model results for a case study show significance of feedback loops for financial sustainability of the system. For example, user fees have to be substantially increased to achieve financial sustainability, especially when price elasticity of water demand is considered. A detailed causal loop diagram for management of wastewater collection networks is presented. The causal loop diagram lays out qualitative causal relationships among system components and identifies multiple interacting feedback loops. Based on this causal loop diagram, a system dynamics model comprised of a wastewater pipes sector, a finance sector, and a consumers sector, is developed. Policy levers are included in the model to facilitate formulation of different financing and rehabilitation strategies for the wastewater collection network. Financial and service performance indicators included in the model allow comparison of different financing and rehabilitation strategies. Data requirements for implementation of the model are discussed. The wastewater collection network model is implemented for a case study of a medium-sized Canadian municipality with a substantial backlog of deteriorated pipes. A methodology for parameterization of the model using existing data sources is presented. Simulation results indicate that different financing strategies ranging from no borrowing to full utilization of debt capacity can achieve similar total life-cycle costs but with significantly varying impacts for consumers in terms of service performance and financial burden. A detailed causal loop diagram for management of a watermain distribution network is employed to identify feedback loops. The causal loop diagram is then developed into a system dynamics model comprised of watermain pipes, financial, and consumer sectors. Data requirements for implementation of the model are discussed.

Submitted by Gustavo Marchisotti (marchisotti@terra.com.br) on 2014-11-25T16:12:30Z No. of bitstreams: 1 Dissertacao_Final & Definitiva.pdf: 1891620 bytes, checksum: b110a698ad08c8eacc0c239564e378ae (MD5) / Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2014-11-25T18:34:06Z (GMT) No. of bitstreams: 1 Dissertacao_Final & Definitiva.pdf: 1891620 bytes, checksum: b110a698ad08c8eacc0c239564e378ae (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2014-12-12T16:25:51Z (GMT) No. of bitstreams: 1 Dissertacao_Final & Definitiva.pdf: 1891620 bytes, checksum: b110a698ad08c8eacc0c239564e378ae (MD5) / Made available in DSpace on 2014-12-12T16:30:33Z (GMT). No. of bitstreams: 1 Dissertacao_Final & Definitiva.pdf: 1891620 bytes, checksum: b110a698ad08c8eacc0c239564e378ae (MD5) Previous issue date: 2014-11-13 / Este estudo visa desenvolver uma investigação exploratória e quali-quantitativa, a cerca da representação social do Cloud Computing, na visão dos profissionais de TI brasileiros. Objetiva expor quais as percepções dos usuários da área de TI a respeito do paradigma computacional Cloud Computing. Para suportar o estudo teórico, foram coletados dados empíricos, por meio de questionários online respondidos por 221 profissionais da área de TI. Com o uso da técnica de evocação de palavras e da teoria da representação social (TRS), os dados coletados foram sumarizados. Após o tratamento dos dados mediante o uso da técnica do quadro de quatro casas de Vergès, obteve-se como resultado, a identificação do núcleo central e do sistema periférico da representação social do Cloud Computing. Por fim, os dados foram analisados utilizando-se as análises implicativa e de conteúdo, de forma a que todas as informações fossem abstraídas para melhor interpretação do tema. Obteve-se como resultado, que o núcleo central da representação social do Cloud Computing é composto pelas seguintes palavras 'Nuvem', 'Armazenamento', 'Disponibilidade', 'Internet', 'Virtualização' e 'Segurança'. Por sua vez, as palavras identificadas como parte do sistema periférico da representação social do Cloud Computing foram: 'Compartilhamento', 'Escalabilidade' e 'Facilidade'. Os resultados permitem compreender qual percepção dos profissionais de TI a respeito deste paradigma tecnológico e sua correlação com o referencial teórico abordado. Tais informações e percepções podem auxiliar a tornar o não familiar em familiar, ou seja, compreender como o Cloud Computing é representado, visto e, finalmente, reconhecido pelos profissionais da área de TI.

The reported research provides a rough guide to the best practice of decision modeling concerning urban pipeline systems’ rehabilitation. The thesis aims to bring attention to the fact that a proper decision-making model is a cornerstone for efficient infrastructure management. More precisely, this thesis aims to increase the knowledge about applicable decision support methods by identifying relevant factors that should be considered in the decision-making process. This can, facilitate future rehabilitation attempts of existing urban infrastructure. A utility-based decision model was adopted for a water distribution network in Sweden to locate and rehabilitate leakages as an ultimate sign of failure. This was performed by implementing and evaluating a Bayesian decision model including the treatment of uncertainties in evaluating the best decision from a short-term perspective. Despite its simplicity, the result showed that the proposed model could facilitate problem-solving approaches when uncertainty is an issue. Considering the several interacting factors of services and the availability of information, the importance of problem structuring before applying a decision model was extensively acknowledged. As a result, a conceptual decision model was proposed to choose the most appropriate decision model applicable for a particular problem in the essence of deciding how to decide. The presented model illustrated the first steps of developing a theoretical framework for a rational yet practical decisionmaking. This approach, which is aimed to be further employed in rehabilitation strategies of urban pipelines, ensures that the chosen decision technique has explicitly considered different levels of uncertainty and would be the best-established solution for a particular type of problem, organization, and stakeholder. This effort may help the decision analysts define the problem and elicit objectives and values relatively early in the decision-making to ensure that decisions to be selected would support the desired outcomes, actions, and core values. Then, a critical evaluation of the decision strategy was presented by comparing the performed Bayesian approach with the proposed conceptual model. Then so, it was shown that the choice of the decision model is dissimilar if the presented specific basic components vary. This was performed by presenting two semi-fictitious case studies, exemplifying the framework’s importance in structuring the assessment of available means. / Forskningen som redovisas i denna uppsats utgör en översiktlig guide till en praktisktillämpning av beslutsmodellering gällande underhåll av urbana ledningssystem.Syftet med licentiatuppsatsen är att betona att en korrekt modell för beslutsfat-tande är nödvändig för en effektiv förvaltning av infrastruktur. Mer specifikt ärmålet att öka kunskapen om tillämpbara beslutsstödsmetoder genom att identifiera relevanta faktorer som bör beaktas i beslutsprocessen. Det förväntas underlätta framtida underhållsaktiveter för befintlig urban infrastruktur. En nyttobaserad beslutsmodell för åtgärdsplanering har applicerats på en del av ettsvenskt vattenledningssystem, där läckage är den kritiska händelse som hanteras.Modellen baserad på Bayesiansk beslutsteori har implementerats och utvärderatsmed avseende på hantering av osäkerheter och beslutsoptimering ur ett korttidsper-spektiv. Trots modellens enkelhet visar resultatet att den kan underlätta metodvalför problemlösning när det råder osäkerheter i förutsättningarna. Vikten av en tydlig och strukturerad problembeskrivning inför tillämpningen av enbeslutsmodell bekräftas, där beaktande av interaktioner mellan ibland flera faktoreri systemets funktion och den tillgängliga informationen är viktig. Som ett resultatföreslås en konceptuell metod för att välja den mest lämpliga beslutsmodellen förett specifikt problem med syftet att besluta hur man bör besluta. Den presenter-ade metoden utgör ett första steg i utvecklingen av ett teoretiskt ramverk för ettrationellt och samtidigt praktiskt beslutsfattande. Arbetet hjälper beslutsfattarenatt strukturera problemet och lyfta syftet och värden tidigt i beslutsfattandet föratt säkerställa att tagna beslut stödjer eftersökta utfall, åtgärder och kärnvärden. Vidare har en kritisk utvärdering av beslutsstrategier presenterats som en jämförelsemellan den Bayesianska beslutsmodellen och den konceptuella metoden. Den visaratt valet av beslutsmodell skiljer sig om de grundläggande förutsättningarna ärolika. Utvärderingen baseras på två semifiktiva fallstudier som visar på vikten avstrukturering i bedömningen av tillgänglig information och tillgängliga resurser. / <p>2022-10-24</p> / Mistra InfraMaint

В магистерской диссертации рассмотрены современные проблемы управления информационной инфраструктурой. Изучена деятельность Государственного Бюджетного Учреждения «Научно-технического центра инноваций и технологий» и составлена модель информационной инфраструктуры разработан проект для повышения эффективности работы предприятия, а также применен системно-динамический подход для оценки внедрения ЦОД. / The master's thesis deals with modern problems of information infrastructure management. The activities of the State Budgetary Institution "Scientific and Technical Center for Innovation and Technology" were studied and an information infrastructure model was drawn up, a project was developed to improve the efficiency of the enterprise, and a system-dynamic approach was applied to assess the implementation of the data center.

The interest in structural health monitoring (SHM) has grown considerably in the past half century, due to an explosive growth in the availability of new sensors, the development of powerful data analysis techniques, and the increasing number of civil infrastructure that are approaching or exceeding their initial design life. In SHM, we acquire observation on the behavior of a structure to understand its condition state, based on which we decide how to manage it properly. However, this optimistic view of SHM is in contrast with what happen in real life: infrastructure operators are typically skeptical about the capacity of monitoring to support decisions, and instead of following the suggestions provided by SHM, they often act based on their experience or common sense. The reason is that at present it is not fully clear how in practice to make decisions based on monitoring observation. To fill this gap between theory and practice, I propose to consider SHM as a logical process of making decision based on observation consisting of two steps: judgment, in which the condition state of structures is inferred based on SHM data, and decision, in which the optimal action is identified based on a rational and economic principle. From this perspective, a monitoring system should provide information that can improe he managers knoledge on he srcral condiion sae enough to allow them to make better decision on the structure management. Therefore, in designing a monitoring system, the design target must be the accuracy in the knowledge of structural state achieved analyzing the observations provided by it. However, when an engineer designs a monitoring system, the approach is often heuristic, with performance evaluation based on experience or common sense rather than on quantitative analysis. For this reason, I propose a performance-based monitoring system design, which is a quantitative method for the calculation of the expected performance of a monitoring solution a pre-posteriori and for checking it effectiveness in the design phase. It is based on the calculation of the monitoring capacity and the monitoring demand the counterparts of structural capacity and demand in the semi-probabilistic structural design, and like in structural design, the solution is satisfactory if the capacity is equal or better than the demand. The choice in whether to invest a limited budget on a monitoring system or in a retrofit is another critical choice for infrastructure managers: a retrofit work can increase the capacity and the safety of a structure, while sensors do not change the capacity, nor reduce the loads. Recently, the SHM-community has acknowledged that the benefit of installing a monitoring system can be properly quantified using the concept of Value of Information (VoI). A typical assumption in the VoI estimation is that a single decision-maker is in charge for decisions on both the investment in SHM for a structure, and its management based on SHM data. However, this process is usually more complex in the real world, with more individuals involved in the decision chain. Therefore, I formalize a rational method for quantifying the conditional value of information when two different actors are involved in the decision chain: the manager, who operate the structure based on monitoring data; and the owner, who chooses whether to install the monitoring system or not, before having access to these data. The results are particularly interested, showing that under appropriate conditions, the owner may be willing to pay to prevent the manager to use the monitoring system. Application to case studies are presented for all the research contribution presented in this doctoral thesis.

Current models that assess infrastructure failure risk are "linear," and therefore, only consider the direct influence attributed to each factor that defines risk. These models do not consider the undeniable relationships that exist among these parameters. In reality, factors that define risk are interdependent and influence each other in a "non-linear" fashion through feedback effects. Current infrastructure failure risk assessment models are also static, and do not allow infrastructure managers and decision makers to evaluate the impacts over time, especially the long-term impact of risk mitigation actions. Factors that define infrastructure failure risk are in constant change. In a strategic manner, this research proposes a new risk-based infrastructure management framework and supporting system, Risk-Based Dynamic Infrastructure Management System (RiskDIMS), which moves from linear to non-linear risk assessment by applying systems engineering methods and analogs developed to address non-linear complex problems. The approach suggests dynamically integrating principal factors that define infrastructure failure risk using a unique platform that leverages Geospatial Information System services and extensions in an unprecedented manner. RiskDIMS is expected to produce results that are often counterintuitive and unexpected, but aligned to our complex reality, suggesting that the combination of geospatial and temporal analyses is required for sustainable risk-based decision making. To better illustrate the value added of temporal analysis in risk assessment, this study also develops and implements a non-linear dynamic model to simulate the behavior over time of infrastructure failure risk associated with an existing network of levees in New Orleans due to diverse infrastructure management investments. Although, the framework and RiskDIMS are discussed here in the context of levees, the concept applies to other critical infrastructure assets and systems. This research aims to become the foundation for future risk analysis system implementation. / Master of Science

The research described herein is composed of four major areas of practice. It examines the overall performance of runways and provides tools designed to improve current runway operations and management with particular emphasis on contaminated surfaces. Presented in this thesis is an overview of how to design airport pavements in order to achieve optimal friction by specifically focusing on material selection and construction techniques for rigid and flexible pavements. Rubber buildup and the impact rubber accumulation has on decreasing runway friction, particularly in a range of climatic conditions, is discussed. Four commonly used rubber removal techniques are presented and evaluated. Through this research, an analytical hierarchy process (AHP) decision making protocol was developed for incorporation into airport pavement management systems (APMS). Runway surface condition reporting practices used at the Region of Waterloo International Airport are evaluated and recommendations for improving current practices are identified. Runway surface condition reporting can be improved by removing subjectivity, reporting conditions to pilots in real time, standardizing terminology and measurement techniques, and including runway pictures or sketches to identify contaminant locations where possible. Reports should be incorporated and stored in the APMS. Aircraft braking systems and their effects on landing distances under contaminated conditions are discussed. This thesis presents a proposed solution for monitoring and measuring contaminated runway surfaces and identifying the risks associated with aircraft landing through using the Braking Availability Tester (BAT). Also proposed in this thesis is a testing framework for validating the Braking Availability Tester. The proposed BAT measures interaction between aircraft antiskid braking systems and runway contaminants to determine landing distances more accurately. Finally, this thesis includes a discussion explaining how pavement design, contaminant removal, results from friction tests, and results from the BAT can be incorporated into airport pavement management systems. APMS data can be analyzed to economically optimize and prioritize scheduling of pavement maintenance, preservation and rehabilitation treatments to maintain a high level of service, thereby contributing to runway safety and optimization.

The research described herein is composed of four major areas of practice. It examines the overall performance of runways and provides tools designed to improve current runway operations and management with particular emphasis on contaminated surfaces. Presented in this thesis is an overview of how to design airport pavements in order to achieve optimal friction by specifically focusing on material selection and construction techniques for rigid and flexible pavements. Rubber buildup and the impact rubber accumulation has on decreasing runway friction, particularly in a range of climatic conditions, is discussed. Four commonly used rubber removal techniques are presented and evaluated. Through this research, an analytical hierarchy process (AHP) decision making protocol was developed for incorporation into airport pavement management systems (APMS). Runway surface condition reporting practices used at the Region of Waterloo International Airport are evaluated and recommendations for improving current practices are identified. Runway surface condition reporting can be improved by removing subjectivity, reporting conditions to pilots in real time, standardizing terminology and measurement techniques, and including runway pictures or sketches to identify contaminant locations where possible. Reports should be incorporated and stored in the APMS. Aircraft braking systems and their effects on landing distances under contaminated conditions are discussed. This thesis presents a proposed solution for monitoring and measuring contaminated runway surfaces and identifying the risks associated with aircraft landing through using the Braking Availability Tester (BAT). Also proposed in this thesis is a testing framework for validating the Braking Availability Tester. The proposed BAT measures interaction between aircraft antiskid braking systems and runway contaminants to determine landing distances more accurately. Finally, this thesis includes a discussion explaining how pavement design, contaminant removal, results from friction tests, and results from the BAT can be incorporated into airport pavement management systems. APMS data can be analyzed to economically optimize and prioritize scheduling of pavement maintenance, preservation and rehabilitation treatments to maintain a high level of service, thereby contributing to runway safety and optimization.