Prototype System for Improving Manually Collected Data Quality

The starting point of the research was to map out areas and activities of the public sector in which savings could be achieved by controlling, optimizing and intensifying operations. This research is a part of the ongoing two-year (2013-2014) Kiiaudata (Kiinteistöjärjestelmien datan älykäs analysointi – smart analysis of property systems data) project funded by Tekes [2014], where one of the main aims was to study potential new technologies for managing and controlling conditions in buildings in a smart way. In collaboration with the City of Pori, a survey was made about the points where measurement data is collected and also how said data is utilized. As the result of this mapping, it was decided to focus on the upgrading of measurement data collection and the new swimming pool was chosen as the research subject, as it is the city’s most expensive individual building in terms of energy consumption. The idea was that the maintenance staff would continue checking the physical measuring devices to ensure their conditions, but the collected data would be recorded with the developed system in contrast to the fully manual record keeping used in the past (i.e. pen and paper). The measurements produce information that can be used, for example, in consumption and condition tracking. For instance, analyses of alteration in energy consumption can be made by means of inclusive measurement and usage tracking based on it. Electricity, heat and water are examples for different measured energy currents. In many cases, the aforementioned currents can be tracked and anomalous situations can be reported automatically using modern computer controlled systems, but there still remain situations where manual work is required, especially when dealing with legacy systems.