Abstract. This article deals with sensitivity analysis of real water consumption in an office building. During a long-term real study, reducing of pressure in its water connection was simulated. A sensitivity analysis of uneven water demand was conducted during working time at various provided pressures and at various time step duration. Correlations between maximal coefficients of water demand variation during working time and provided pressure were suggested. The influence of provided pressure in the water connection on mean coefficients of water demand variation was pointed out, altogether for working hours of all days and separately for days with identical working hours.
Pressure management is the basic step of reducing water losses from water supply systems (WSSs). The reduction of direct water losses is reliably achieved by reducing pressure in the WSSs. There is also a slight decrease in water consumption in connected properties. Nevertheless, consumption is also affected by other factors, the quantification of which is not trivial. However, there is still a lack of much relevant information to enter into this analysis and subsequent decision making. This article focuses on water consumption and its prediction, using regression models designed for an experiment regarding an administrative building in the Czech Republic (CZ). The variables considered are pressure and climatological factors (temperature and humidity). The effects of these variables on the consumption are separately evaluated, subsequently multidimensional models are discussed with the common inclusion of selected combinations of predictors. Separate evaluation results in a value of the N 3 coefficient, according to the FAVAD concept used for prediction of changes in water consumption related to pressure. The statistical inference is based on the maximum likelihood method. The proposed regression models are tested to evaluate their suitability, particularly, the models are compared using a cross-validation procedure. The significance tests for parameters and model reduction are based on asymptotic properties of the likelihood ratio statistics. Pressure is confirmed in each regression model as a significant variable.
Abstract:The paper presents results and sensitivity analysis of the results of a real detailed study focused on changes in water consumption and its unevenness with changing pressure conditions in a particular observed office building. The dependence of water consumption on pressure is expressed using the FAVAD equation using the N3 coefficient. Parameters for sensitivity analysis are number of workers in the building, pulse value from water meter and length of time step for expressing unevenness of water consumption during the day.
The article is aimed at verifying the state of a real workplace using virtual reality. In analyzing the readiness of virtual reality applications, augmented reality was selected for the following work. The most significant advantage of augmented reality is the implementation of a virtual model and the ability to deal with the analysis in a real environment, which is particularly beneficial in the case of production plants. In the first phase of the work, an analysis of the current state of the workplace was carried out, where the requirements for the design of the new workplace were specified. This was followed by the phase of design preparation in 3D modeller. At this very stage it appeared to be advantageous to use virtual reality applications; in the design process, regular approval procedures are required as for an expert team (management, design, quality, ...), which puts high qualification requirements on the readiness of this team. In this phase, the 3D design of the new workplace was inserted into the application supported by augmented reality and some options were indicated to deal with the ergonomic and risk analysis. The result of this work is, in particular, an extension of options in designing and analyzing production workplaces and machinery in multidisciplinary teams.
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