Building Information Modelling : Indoor Localization

This thesis presents an integrated system where BIM software is used together with IoT devices to visualize data generated in real-time. Two different IoT devices are modelled as case study that collect environmental and localization data. These devices were installed inside a Test room of an area approx. 22 m2 in UiT Narvik premises . The collected data were, filtered & transferred to database server which were then retrieved and visualized by BIM software in real time. The report presents tools and technologies that are implemented to develop such system and provides details on basic blocks required for such integrations. The combined platform visualize information about the things as it happens in real-time. This makes such systems capable for digitalization of physical process and have various application domains. In the report it is applied as monitoring platform for temperature and illumination data and can be used for facility management applications. Similarly, indoor localization is monitored making it applicable for localization and safety management purpose. The performance of the system is also discussed based on test, observations, and calculation

Indoor vehicles geolocalization using LoRaWAN

[EN] One of the main drawbacks of Global Navigation Satellite Sytems (GNSS) is that they do not work indoors. When inside, there is often no direct line from the satellite signals to the device and the ultra high frequency (UHF) used is blocked by thick, solid materials such as brick, metal, stone or wood. In this paper, we describe a solution based on the Long Range Wide Area Network (LoRaWAN) technology to geolocalise vehicles indoors. Through estimation of the behaviour of a LoRaWAN channel and using trilateration, the localisation of a vehicle can be obtained within a 20¿30 m range. Indoor geolocation for Intelligent Transporation Systems (ITS) can be used to locate vehicles of any type in underground parkings, keep a platoon of trucks in formation or create geo-fences, that is, sending an alert if an object moves outside a defined area, like a bicycle being stolen. Routing of heavy vehicles within an industrial setting is another possibility.This work was partially supported by the Ministerio de Ciencia, Innovación y Universidades, Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018 , Spain, under Grant RTI2018-096384-B-I00.Manzoni, P.; Tavares De Araujo Cesariny Calafate, CM.; Cano, J.; Hernández-Orallo, E. (2019). Indoor vehicles geolocalization using LoRaWAN. Future Internet. 11(6):1-15. https://doi.org/10.3390/fi11060124S11511

Reaaliaikainen sis¨atilapaikannus rakennusty¨omaalla k¨aytt¨aen BLE-majakoiden trilateraatiota

A real-time indoor location tracking system prototype for construction site resource tracking was developed in this Master's Thesis. The positioning technology used was Bluetooth Low Energy Beacons and the method was trilateration. The prototype developed in this work is built upon a simpler version of a location tracking system prototype developed in iCONS research project in Aalto University. The contextual purpose of this work was to investigate in which ways a coordinate level indoor positioning system could enhance production control in construction. The lean construction philosophy is the theoretical background of this research topic. The Design Science research method was followed. The process of implementation was documented in detail. The prototype was tested in a construction site to determine the location of a person carrying a BLE beacon. The accuracy turned out to be around 10 meters at best when there was least movement. Various aspects other than accuracy have also been evaluated, and ideas for improvement are presented. The value and the applications of an ideally working coordinate level real-time location tracking system for construction production control was assessed in light of the research literature and the experience gained from creating and testing the prototype. Such a system would have a significantly positive impact on the productivity, transparency, and safety in construction.Tässä diplomityössä kehitettiin reaaliaikainen sisätilapaikannusjärjestelmä rakennustyömaan resurssien seurantaan. Paikannustekniikkana toimi Bluetooth Low Energy (BLE) -majakat ja niiden paikantaminen trilateraation avulla. Työssä kehitetty prototyyppi rakentui Aalto-yliopiston iCONS-tutkimusprojektissa kehitetyn yksinkertaisemman paikannusjärjestelmän päälle. Tässä työssä tutkittiin, millä tavoin koordinaattitason sisätilapaikannusjärjestelmä voisi parantaa tuotannonohjausta rakentamisessa. Lean-rakentaminen on tämän tutkimusaiheen teoreettinen tausta. Design Science -tutkimusmenetelmää sovellettiin tässä työssä. Menetelmän mukaisen artifaktin toteutusprosessi dokumentoitiin yksityiskohtaisesti. Prototyyppiä testattiin oikealla rakennustyömaalla BLE-majakkaa kantavan henkilön sijainnin määrittämiseksi. Tarkkuus ylsi parhaimmillaan noin 10 metriin, kun liikettä oli vähiten. Tarkkuuden lisäksi järjestelmän muita aspekteja on myös arvioitu ja parannusideoita esitetty. Ideaalin reaaliaikaisen paikannusjärjestelmän arvoa ja sovelluksia rakennusalan tuotannonohjauksessa arvioitiin sekä tutkimuskirjallisuuden että prototyypistä saadun tiedon valossa. Tällaisella järjestelmällä olisi merkittävä vaikutus rakentamisen tuottavuuteen, läpinäkyvyyteen ja turvallisuuteen

Application of the LBS and GIS Integration in Scenic Area

Development of smart scenic spot has received great attention from individuals and enterprises. This paper focuses on the LBS application in resort management and wants to get an innovation technology applying example in China tourism industry. The LBS can embed in the original GIS platform in OCT east, and then it can provide the added-value service such as promptly catch the visitor location, navigate tour itinerary, schedule scenic transportation shuttle. The new findings in this program is a new system model that integrated GIS and LBS has been put to use, therefore, a LBS service network covering the whole OCT East area can be developed. Through the design, field experiment and simulation tests of this model, the program is proved viable for the promotion in the services of OCT East, and could increase the scenic quality of service, enhance visitor satisfaction Keywords: LBS, Scenic Areas, GIS, Mobile Communicatio

IoT-Based Smart Management of Healthcare Services in Hospital Buildings during COVID-19 and Future Pandemics

The paper aims to design and develop an innovative solution in the Smart Building context that increases guests' hospitality level during the COVID-19 and future pandemics in locations like hotels, conference locations, campuses, and hospitals. The solution supports features intending to control the number of occupants by online appointments, smart navigation, and queue management in the building through mobile phones and navigation to the desired location by highlighting interests and facilities. Moreover, checking the space occupancy, and automatic adjustment of the environmental features are the abilities that can be added to the proposed design in the future development. The proposed solution can address all mentioned issues regarding the smart building by integrating and utilizing various data sources collected by the internet of things (IoT) sensors. Then, storing and processing collected data in servers and finally sending the desired information to the end-users. Consequently, through the integration of multiple IoT technologies, a unique platform with minimal hardware usage and maximum adaptability for smart management of general and healthcare services in hospital buildings will be created

A fog computing based cyber-physical system for the automation of pipe-related tasks in the Industry 4.0 shipyard

[Abstract] Pipes are one of the key elements in the construction of ships, which usually contain between 15,000 and 40,000 of them. This huge number, as well as the variety of processes that may be performed on a pipe, require rigorous identification, quality assessment and traceability. Traditionally, such tasks have been carried out by using manual procedures and following documentation on paper, which slows down the production processes and reduces the output of a pipe workshop. This article presents a system that allows for identifying and tracking the pipes of a ship through their construction cycle. For such a purpose, a fog computing architecture is proposed to extend cloud computing to the edge of the shipyard network. The system has been developed jointly by Navantia, one of the largest shipbuilders in the world, and the University of A Coruña (Spain), through a project that makes use of some of the latest Industry 4.0 technologies. Specifically, a Cyber-Physical System (CPS) is described, which uses active Radio Frequency Identification (RFID) tags to track pipes and detect relevant events. Furthermore, the CPS has been integrated and tested in conjunction with Siemens’ Manufacturing Execution System (MES) (Simatic IT). The experiments performed on the CPS show that, in the selected real-world scenarios, fog gateways respond faster than the tested cloud server, being such gateways are also able to process successfully more samples under high-load situations. In addition, under regular loads, fog gateways react between five and 481 times faster than the alternative cloud approach