949 resultados para Mine inspection
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The hydrothermal liquefaction(HTL) of algal biomass is a promising route to viable second generation biofuels. In this investigation HTL was assessed for the valorisation of algae used in the remediation of acid mine drainage (AMD). Initially the HTL process was evaluated using Arthrospira platensis (Spirulina) with additional metal sulphates to simulate metal remediation. Optimised conditions were then used to process a natural algal community (predominantly Chlamydomonas sp.) cultivated under two scenarios: high uptake and low uptake of metals from AMD. High metal concentrations appear to catalyse the conversion to bio-oil, and do not significantly affect the heteroatom content or higher heating value of the bio-oil produced. The associated metals were found to partition almost exclusively into the solid residue, favourable for potential metal recovery. High metal loadings also caused partitioning of phosphates from the aqueous phase to the solid phase, potentially compromising attempts to recycle process water as a growth supplement. HTL was therefore found to be a suitable method of processing algae used in AMD remediation, producing a crude oil suitable for upgrading into hydrocarbon fuels, an aqueous and gas stream suitable for supplementing the algal growth and the partitioning of most contaminant metals to the solid residue where they would be readily amenable for recovery and/or disposal.
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Background
Currently, there is growing interest in developing ante and post mortem meat inspection (MI) to incorporate measures of pig health and welfare for use as a diagnostic tool on pig farms. However, the success of the development of the MI process requires stakeholder engagement with the process. Knowledge gaps and issues of trust can undermine the effective exchange and utilisation of information across the supply chain. A social science research methodology was employed to establish stakeholder perspectives towards the development of MI to include measures of pig health and welfare. In this paper the findings of semi-structured telephone interviews with 18 pig producers from the Republic of Ireland and Northern Ireland are presented.
Results
Producers recognised the benefit of the utilisation of MI data as a health and welfare diagnostic tool. This acknowledgment, however, was undermined for some by dissatisfaction with the current system of MI information feedback, by trust and fairness concerns, and by concerns regarding the extent to which data would be used in the producers’ interests. Tolerance of certain animal welfare issues may also have a negative impact on how producers viewed the potential of MI data. The private veterinary practitioner was viewed as playing a vital role in assisting them with the interpretation of MI data for herd health planning.
Conclusions
The development of positive relationships based on trust, commitment and satisfaction across the supply chain may help build a positive environment for the effective utilisation of MI data in improving pig health and welfare. The utilisation of MI as a diagnostic tool would benefit from the development of a communication strategy aimed at building positive relationships between stakeholders in the pig industry.
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Here, we report the draft genome sequence of Staphylococcus succinus strain CSM-77. This moderately halophilic bacterium was isolated from the surface of a halite sample obtained from a Triassic salt mine.
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This study investigated the separation of uranium and other elements in high concentrations from acid mine waters at Caldas Uranium Mining, in the southeast of Brazil, using nanofiltration membranes. Nanofiltrarion is widely used in water treatment due to the lower energy requirements and higher yields than reverse osmosis. Separation characteristics are dependent on both the molecular size and charge of the dissolved species in the feed solution as well as membrane properties. In this investigation the potential of nanofiltration to removed dissolved species like uranium from acid mine water drainage was measured. Two composite aromatic polyamide commercially membranes of FilmTec/Dow were tested and it found that uranium rejections of greater than 90% and also showed potential for the separation of aluminum and manganese.
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L’étude porte sur les retombées économiques de la mine de Voisey’s Bay sur les conditions socioéconomiques des communautés de Rigolet, Makkovik, Hopedale, Nain et de Postville. Elle adopte une approche multidimensionnelle à la fois descriptive et comparative. Les données utilisées proviennent des recensements de la population de 1991, 1996, 2001 et de 2006 conduits par Statistique Canada. Elle utilise aussi les données de l’Enquête nationale auprès des ménages de 2011. Les données internes à la mine proviennent des Rapports de responsabilités sociales de la firme VBNC qui se charge d’exploiter la mine. Nous avons également en recours aux données des rapports du Gouvernement du Nunatsiavut depuis sa mise en place en 2005. Cette étude s’inscrit dans un contexte d’exploitation des ressources naturelles. Elle montre que, contrairement à des considérations voulant que celles-ci constituent une source de richesses, leurs effets sur les conditions socioéconomiques des communautés locales restent mitigés. Les firmes minières s’acharnent à maximiser leurs profits et les conditions de vie des communautés locales n’en bénéficient que partiellement. Pour notre étude, nous faisons l’hypothèse que cette mine ait eu de nombreuses retombées directes ou indirectes (emplois, achats de biens et services, taxes minières, investissements et redevances) et que celles-ci ont modifié les conditions de vie des communautés concernées. Nous avons opté pour une méthodologie basée sur un modèle de retombées économiques de la mine de Voisey’s Bay; un outil conçu avec l’inspiration de la grille d’évaluation des projets miniers, gaziers et pétroliers sur les conditions socioéconomiques de Paul Kishchuk. Ce modèle nous a permis d’analyser les effets de Voisey’s Bay sur la démographie, le marché du travail, la scolarité, le revenu et le logement. Les dimensions identifiées font état d’une légère amélioration sur les conditions de vie des communautés, bien que l’effet ne puisse pas être totalement attribué à la mine, étant donné le rôle important joué par le Gouvernement du Nunatsiavut depuis sa création.
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Since the 1980s, state schools in England have been required to ensure transparency and accountability through the use of indicators and templates derived from the private sector and, more recently, globally circulating discourses of ‘good governance’ (an appeal to professional standards, technical expertise, and performance evaluation as mechanisms for improving public service delivery). The rise of academies and free schools (‘state-funded independent schools’) has increased demand for good governance, notably as a means by which to discipline schools, in particular school governors – those tasked with the legal responsibility of holding senior leadership to account for the financial and educational performance of schools. A condition and effect of school autonomy, therefore, is increased monitoring and surveillance of all school governing bodies. In this paper, I demonstrate how these twin processes combine to produce a new modality of state power and intervention; a dominant or organizing principle by which government steer the performance of governors through disciplinary tools of professionalization and inspection, with the aim of achieving the ‘control of control’. To explain these trends, I explore how various established and emerging school governing bodies are (re)constituting themselves to meet demands for good governance.
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Abstract : Images acquired from unmanned aerial vehicles (UAVs) can provide data with unprecedented spatial and temporal resolution for three-dimensional (3D) modeling. Solutions developed for this purpose are mainly operating based on photogrammetry concepts, namely UAV-Photogrammetry Systems (UAV-PS). Such systems are used in applications where both geospatial and visual information of the environment is required. These applications include, but are not limited to, natural resource management such as precision agriculture, military and police-related services such as traffic-law enforcement, precision engineering such as infrastructure inspection, and health services such as epidemic emergency management. UAV-photogrammetry systems can be differentiated based on their spatial characteristics in terms of accuracy and resolution. That is some applications, such as precision engineering, require high-resolution and high-accuracy information of the environment (e.g. 3D modeling with less than one centimeter accuracy and resolution). In other applications, lower levels of accuracy might be sufficient, (e.g. wildlife management needing few decimeters of resolution). However, even in those applications, the specific characteristics of UAV-PSs should be well considered in the steps of both system development and application in order to yield satisfying results. In this regard, this thesis presents a comprehensive review of the applications of unmanned aerial imagery, where the objective was to determine the challenges that remote-sensing applications of UAV systems currently face. This review also allowed recognizing the specific characteristics and requirements of UAV-PSs, which are mostly ignored or not thoroughly assessed in recent studies. Accordingly, the focus of the first part of this thesis is on exploring the methodological and experimental aspects of implementing a UAV-PS. The developed system was extensively evaluated for precise modeling of an open-pit gravel mine and performing volumetric-change measurements. This application was selected for two main reasons. Firstly, this case study provided a challenging environment for 3D modeling, in terms of scale changes, terrain relief variations as well as structure and texture diversities. Secondly, open-pit-mine monitoring demands high levels of accuracy, which justifies our efforts to improve the developed UAV-PS to its maximum capacities. The hardware of the system consisted of an electric-powered helicopter, a high-resolution digital camera, and an inertial navigation system. The software of the system included the in-house programs specifically designed for camera calibration, platform calibration, system integration, onboard data acquisition, flight planning and ground control point (GCP) detection. The detailed features of the system are discussed in the thesis, and solutions are proposed in order to enhance the system and its photogrammetric outputs. The accuracy of the results was evaluated under various mapping conditions, including direct georeferencing and indirect georeferencing with different numbers, distributions and types of ground control points. Additionally, the effects of imaging configuration and network stability on modeling accuracy were assessed. The second part of this thesis concentrates on improving the techniques of sparse and dense reconstruction. The proposed solutions are alternatives to traditional aerial photogrammetry techniques, properly adapted to specific characteristics of unmanned, low-altitude imagery. Firstly, a method was developed for robust sparse matching and epipolar-geometry estimation. The main achievement of this method was its capacity to handle a very high percentage of outliers (errors among corresponding points) with remarkable computational efficiency (compared to the state-of-the-art techniques). Secondly, a block bundle adjustment (BBA) strategy was proposed based on the integration of intrinsic camera calibration parameters as pseudo-observations to Gauss-Helmert model. The principal advantage of this strategy was controlling the adverse effect of unstable imaging networks and noisy image observations on the accuracy of self-calibration. The sparse implementation of this strategy was also performed, which allowed its application to data sets containing a lot of tie points. Finally, the concepts of intrinsic curves were revisited for dense stereo matching. The proposed technique could achieve a high level of accuracy and efficiency by searching only through a small fraction of the whole disparity search space as well as internally handling occlusions and matching ambiguities. These photogrammetric solutions were extensively tested using synthetic data, close-range images and the images acquired from the gravel-pit mine. Achieving absolute 3D mapping accuracy of 11±7 mm illustrated the success of this system for high-precision modeling of the environment.
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L’usine Niobec traite un minerai de pyrochlore porteur de niobium pour produire le ferro-niobium utilisé pour la fabrication d’acier. L’usine récupère environ 60% des minéraux de niobium. Les rejets contiennent du niobium et d’autres espèces minérales potentiellement valorisables. Les travaux présentés dans ce mémoire visent à identifier les espèces pouvant être valorisées dans les rejets de Niobec dont les plus prometteurs sont les éléments de terres rares, les minéraux de niobium et l’apatite. Dans le but de concentrer l’apatite des rejets de l’usine, une analyse chimique des rejets a permis de cibler comme flux d’intérêt les particules de dimension supérieure à 0,038mm dans le concentré de carbonates et les rejets du circuit de flottation du pyrochlore. La méthode utilisée pour valoriser les phosphates est la flottation. Les meilleurs résultats ont été obtenus par flottation directe des minéraux de phosphate du concentré de carbonates dans les rejets de Niobec. Le collecteur utilisé est un acide gras de type AERO 6493 avec un mélange d’amidon de tapioca et de NaOH utilisé comme déprimant pour les carbonates. Ces conditions ont permis de produire un concentré d’apatite titrant entre 30 à 32 % P2O5 avec un rendement de 50 à 60% du P2O5 contenue dans le concentré de carbonates. La teneur en MgO dans le concentré d’apatite est comprise entre 3 et 4% comparativement à 15% dans l’alimentation. Puisque le MgO est principalement associé à la dolomie ces résultats confirment une bonne dépression de ce minéral lors de la flottation de l’apatite du concentré de carbonates. La flottation de l’apatite à partir des rejets du pyrochlore n’a pas permis d’obtenir un concentré de valeur commerciale. Le meilleur résultat obtenu lors des essais de flottation sur les rejets pyrochlore correspond à une teneur de 14%avec un rendement de 53% P2O5. Les résultats obtenus montrent toutefois le potentiel associé à la récupération des minéraux de phosphates et justifient la poursuite des travaux, cette fois, moins exploratoires que les travaux rapportés dans ce mémoire.
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The project was made during the Erasmus+ Program in Instituto Superior de Engenharia do Porto, Portugal. I had a pleasure to do this in Gislotica Mechanical Solution, Lda. This document presents a process of design a vertical inspection station for truck tires. The first part contains an introduction. There are information about Gislotica Company and also first analysis of problem. In next part is presented way to figured out the task and described all issues connected with designed machine. In last part were made some conclusions about problems and results. There is a place not only for sum up design process but also my develop during the project. I repeatedly pointed out which issues were new for me. A lot of times I focus on myself and gained experience and information about design process.
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The aim of the project was to design in Solidworks and improve an existing Tire inspection machine. The project was developed in Gislotica - Mechanical Solutions, guided by ing. Rui Manuel Fazenda Silva who is a professor in ISEP. The designed device relates to the inspection of automobile tires for holes and weak places caused by punctures and usage. Such inspection includes careful examination of the inside surface of the tire which is difficult because of its cylindrical shape, stiff and resistant nature of the material out of which the tire is made. The whole idea is to provide a machine by which the walls of the tire may be spread and hold apart, presenting the inner surface for the worker to control. The device must also perform rotational and vertical movement of the tire. It is meant to provide inspection in hich there is no need for the controller to use force. It makes his work easier and more efficient.
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The U.S. railroad companies spend billions of dollars every year on railroad track maintenance in order to ensure safety and operational efficiency of their railroad networks. Besides maintenance costs, other costs such as train accident costs, train and shipment delay costs and rolling stock maintenance costs are also closely related to track maintenance activities. Optimizing the track maintenance process on the extensive railroad networks is a very complex problem with major cost implications. Currently, the decision making process for track maintenance planning is largely manual and primarily relies on the knowledge and judgment of experts. There is considerable potential to improve the process by using operations research techniques to develop solutions to the optimization problems on track maintenance. In this dissertation study, we propose a range of mathematical models and solution algorithms for three network-level scheduling problems on track maintenance: track inspection scheduling problem (TISP), production team scheduling problem (PTSP) and job-to-project clustering problem (JTPCP). TISP involves a set of inspection teams which travel over the railroad network to identify track defects. It is a large-scale routing and scheduling problem where thousands of tasks are to be scheduled subject to many difficult side constraints such as periodicity constraints and discrete working time constraints. A vehicle routing problem formulation was proposed for TISP, and a customized heuristic algorithm was developed to solve the model. The algorithm iteratively applies a constructive heuristic and a local search algorithm in an incremental scheduling horizon framework. The proposed model and algorithm have been adopted by a Class I railroad in its decision making process. Real-world case studies show the proposed approach outperforms the manual approach in short-term scheduling and can be used to conduct long-term what-if analyses to yield managerial insights. PTSP schedules capital track maintenance projects, which are the largest track maintenance activities and account for the majority of railroad capital spending. A time-space network model was proposed to formulate PTSP. More than ten types of side constraints were considered in the model, including very complex constraints such as mutual exclusion constraints and consecution constraints. A multiple neighborhood search algorithm, including a decomposition and restriction search and a block-interchange search, was developed to solve the model. Various performance enhancement techniques, such as data reduction, augmented cost function and subproblem prioritization, were developed to improve the algorithm. The proposed approach has been adopted by a Class I railroad for two years. Our numerical results show the model solutions are able to satisfy all hard constraints and most soft constraints. Compared with the existing manual procedure, the proposed approach is able to bring significant cost savings and operational efficiency improvement. JTPCP is an intermediate problem between TISP and PTSP. It focuses on clustering thousands of capital track maintenance jobs (based on the defects identified in track inspection) into projects so that the projects can be scheduled in PTSP. A vehicle routing problem based model and a multiple-step heuristic algorithm were developed to solve this problem. Various side constraints such as mutual exclusion constraints and rounding constraints were considered. The proposed approach has been applied in practice and has shown good performance in both solution quality and efficiency.
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For fifty years (1949–99) the now-abandoned Giant Mine in Yellowknife emitted arsenic air and water pollution into the surrounding environment. Arsenic pollution from Giant Mine had particularly acute health impacts on the nearby Yellowknives Dene First Nation (YKDFN), who were reliant on local lakes, rivers, and streams for their drinking water, in addition to frequent use of local berries, garden produce, and medicine plants. Currently, the Canadian government is undertaking a remediation project at Giant Mine to clean up contaminated soils and tailings on the surface and contain 237,000 tonnes of arsenic dust that are stored underground at the Giant Mine. Using documentary sources and statements of Yellowknives Dene members before various public hearings on the arsenic issue, this paper examines the history of arsenic pollution at Giant Mine as a form of “slow violence,” a concept that reconfigures the arsenic issue not simply as a technical problem, but as a historical agent of colonial dispossession that alienated an Indigenous group from their traditional territory. The long-term storage of arsenic at the former mine site means the effects of this slow violence are not merely historical, but extend to the potentially far distant future.
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lNTRODUCTION; This part is the general introduction of this thesis. The research subject, alunite mine of Wenzhou, has a history of more than 600 years. Not only in the history, has it still played an important role in the people's daily life of Fanshan Town. According to the legend, it was Qin Fu, a refugee, found the way of produce the alum totally by accident. However, we try to find out the real history of its mining and production of alum. ln fact, we have found some ancient documents concerning its history. Especially in the book « The chronicles of Wenzhou Fu of Hongzhi », we found some original information, such as the ancient method of mining and producing alum, etc. ln some other ancient documents, we found some important information, too. With such a long history, the alunite mine has held a lot of heritage, no matter tangible or intangible. Unfortunately, due to some reasons, the condition of the mine becomes worse and worse. ln studying his history, technology and the present situation, we intend to find some ways to solve the problems, and restart its development in other fields. Certainly, we should make a brief introduction of the alunite as well as the alum. The second part of the introduction concentrates in the uses of alum, providing an easier comprehension of this object.
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Exposure to diesel particulate matter from diesel exhaust has been shown to have adverse health effects in humans. In 2012 The International Agency for Research on Cancer classified diesel exhaust as a group 1 know human carcinogen. Because of the associated health effects, there has been a strong push to reduce the amount of diesel exhaust present in the mining industry. Biodiesel is one to the more common and promising control options used to reduce the amount of diesel particulate matter that is generated during fuel combustion. The use of biodiesel over petroleum diesel has been shown to reduce not only particulate matter, but hydro carbon and carbon monoxide mass emissions as well. Personal and area samples were collected at an underground metal mine in the northwestern United States to evaluate the current blend of B70 biodiesel. The objective of this research was to evaluate the carbon levels associated with diesel particulate matter generated from the combustion of a B70 biodiesel. Data was also compared to past studies on which diesel particulate matter from petroleum diesel was evaluated. Samples were taken on four separate four day campaigns between March and October of 2014. Area samples were taken from 7 different areas in the mine and personal samples were taken from a 20 person cohort. The equipment used for sampling was compliant with the NIOSH 5040 method. Statistical analysis of the results was done using Minitab 17 software. The statistical analysis showed that the total carbon concentrations from biodiesel were well below the MSHA exposure limit. Results also showed that organic/elemental carbon ratios were consistent with past studies as the concentrations of organic carbon were significantly higher than those of elemental carbon.