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U ovom završnom radu razvijena je IoT platforma za upravljanje alarmima. Platforma omogućuje povezivanje i nadzor IoT uređaja te generiranje alarma u stvarnom vremenu. Implementacija uključuje senzore, bazu podataka, poslužitelj i integraciju s Microsoft Teams i Telegramom. Korisnici mogu postaviti alarme na temelju nedostatka podataka s uređaja. Alarmi se šalju putem Teamsa i Telegrama kako bi obavijestili korisnike o problemima u IoT sustavima. This thesis presents the development of an IoT platform for alarm management. The platform enables the connection and monitoring of IoT devices and generates realtime alarms. The implementation includes sensors, a database, a server, and integration with Microsoft Teams and Telegram. Users can set alarms based on the absence of data from devices. Alarms are sent via Teams and Telegram to notify users of issues in their IoT systems.

Tema ovog rada je primjena tehnologije Interneta stvari (IoT) za udaljeno praćenje mjerenja senzora u okvirima definiranog demo korisničkog slučaja – praćenje kvalitete vode za različite izvore pomoću IoT tehnologije pri čemu je potrebno konfigurirati određenu IoT platformu kako bi se na nju mogli slati, spremati te dohvaćati podaci mjerenja (fizikalna svojstva vode, temperatura, zamućenost, provodljivost i pH vrijednost) za različite lokacije odnosno točke mjerenja kvalitete vode (water points) koje hijerarhijski pripadaju određenom gradu/regiji. Na temelju analize i usporedbe dostupnih postojećih rješenja (Thingsboard i Mainflux), odabrana je odgovarajuća IoT platforma za zadani IoT scenarij – Thingsboard IoT. Platforma je instalirana lokalno pomoću Docker kontejnerske tehnologije. Na temelju opisanog korisničkog slučaja kreiran je IoT model te su rezervirani IoT entiteti i kreirane su odgovarajuće relacije između entiteta prema zadanom modelu koristeći Thingsboard REST API i Postman REST klijent. Objašnjen je postupak stvaranja nove točke mjerenja kvalitete vode te načini slanja podataka za određenu točku mjerenja kvalitete vode, različitim protokolima – HTTP, MQTT i CoAP uz praktične primjere za Arduino razvojnu pločicu. Kreirani IoT sustav je također integriran sa LoRa mrežom (za simulaciju LoRa mreže i LoRa uređaja je korištena platforma The Things Network) pomoću Thingsboard IoT Gateway-a koristeći vanjski MQTT broker za prosljeđivanje podataka mjerenja te je zatim testirana kreirana integracija. The topic of this paper is the application of Internet of Things (IoT) technology to remotely monitor sensor measurements within a defined demo use-case - monitoring water quality for different sources using IoT technology, with the need to configure a specific IoT platform to send, store and retrieve measurement data (physical properties of water - temperature, turbidity, conductivity and pH) for different locations or points of water quality measurement (water points) that hierarchically belong to a particular city/region. Based on the analysis and comparison of available existing solutions (Thingsboard and Mainflux), the appropriate IoT platform was selected for the defined IoT scenario - Thingsboard IoT. The platform was installed locally using Docker container technology. Based on the described use-case, an IoT model was created, IoT entities provisioned and corresponding relations created between entities based on the created model, using the Thingsboard REST API and the Postman REST client. The process of creating a new water point and ways of sending measurements for a particular water point, using different protocols (HTTP, MQTT and CoAP) are explained, along with practical examples for the Arduino development board. The created IoT system was also integrated with the LoRa network (The Things Network is used to simulate LoRa network and LoRa devices) using the Thingsboard IoT Gateway with an external MQTT broker to pass the measurements from LoRa network, after which the created integration was tested.

Koncepti pametnih gradova nude razna programska rješenja kojima je cilj poboljšati kvalitetu života. Jedna od mnogih značajki je učinkovitije korištenje prometne infrastrukture, u svrhu čega je izrađen ovaj rad. Podaci o lokaciji vozila javnog prijevoza grada Zagreba, prikupljeni uz pomoć korisnika uslugama suradnog opažanja, obrađuju se na zahtjev u programskom jeziku Java. Rezultat obrade je vrijeme u minutama do dolaska vozila na određenu stanicu te pripadajući broj putnika. Dobiveni podaci su registrirani u radni okvir symbIoTe koji nudi mogućnost pretraživanja registriranih podataka i izrade korisničkih aplikacija na osnovu prikupljenih podataka. Time je osiguran siguran prijenos podataka te interoperabilnost samog programskog rješenja. Smart city concepts offer a variety of software solutions aimed at improving the quality of life. One of many characteristics is the more efficient usage of the traffic infrastructure, for the purpose of which this work was developed. Information on the location of public transport vehicle in the city of Zagreb, collected through the mobile crowdsensing technique, is processed on request in the Java programming language. The result is the time in minutes until the vehicle arrives at the wanted station with the corresponding number of passengers. The obtained data is being registered to the symbIoTe middleware which offers the possibility of cooperation with other IoT platforms. This ensures secure data transfer and interoperability of the software solution.

Tema rada je implementacija rješenja za interoperabilni pametni prostor u FER-ovom laboratoriju IoTLab. Pametni prostor je realiziran primjenom IoT platforme openHAB na računalu Raspberry Pi. U pametni prostor su ugrađeni različiti senzori i pametna rasvjeta Philips Hue. Interoperabilnost IoT platforme openHAB ostvarena je korištenjem symbIoTe Smart Space-a, programskog okvira otvorenog koda razvijenog u okviru projekta "symbIoTe: Symbiosis of smart objects across IoT environments". Razvijen je poseban programski agent za komunikaciju IoT platforme openHAB s ekosustavom symbIoTe koji omogućava registraciju platforme i njezinih resursa, te posreduje prilikom dohvaćana stanja sa senzora i upravljanja aktuatorima. Prednosti korištenja ekosustava symbIoTe su sigurnost i unificirani informacijski model. Za cjelovito rješenje na računalu Raspberry Pi je izvršeno ispitivanje performanci. The topic of this paper is the implementation of a solution for interoperable smart space in the IoTLab laboratory of the University of Zagreb Faculty of Electrical Engineering and Computing. The Smart Space was implemented by using the openHAB IoT platform on Raspberry Pi computer. Different sensors and Philips Hue smart lighting were built into the Smart Space. The interoperability of the openHAB IoT platform was accomplished by using the symbIoTe Smart Space, an open source software developed within the "symbIoTe: Symbiosis of smart objects across IoT environments" project. A special programme agent was developed for communication with the openHAB IoT platform with symbIoTe ecosystem, allowing for the registration of the platform and its resources, and serving as a link between the received sensor statuses and actuator management. The benefits of using symbIoTe ecosystems are security and a unified information model. For an integrated solution, a performance testing was conducted on the Raspberry Pi computer

Internet stvari (IoT) označava međusobno povezivanje fizičkih uređaja - vozila, zgrada i ostalih stvari koje uključuju elektroniku, softver, senzore, pokretače i mrežno povezivanje koje omogućuje tim objektima prikupljanje i razmjenu podataka. IoT omogućuje daljinsku kontrolu objekata preko postojeće mrežne infrastrukture, stvarajući mogućnosti za izravniju integraciju fizičkog svijeta u računalne sustave i poboljšanu učinkovitost, točnost i ekonomske koristi, uz smanjenu ljudsku intervenciju. Cilj projekta SymbIoTe je postići interoperabilnost IoT platformi, a kako bi se to postiglo IoT platforme se moraju na jednom mjestu registrirati i razmjenjivati informacije. Jezgra symbIoTea služi za registriranje uređaja i razmjenu informacija između platformi na kojima se ti uređaji nalaze. U ovom radu testirane su performance jezgre programskog okvira symbIoTe. Cilj testiranja je vidjeti kako jezgra reagira kada joj pristupi određeni broj korisnika u kratkom vremenu te koliko zahtjeva može uspješno obraditi i odgovoriti na njih. Testovi su provedeni koristeći alate Apache JMeter i Apache Benchmark. Testiranje je provedeno na istom računalu na kojemu su pokrenuti jezgra i oblak. Testiranje se pokazalo uspješnim i rezultati testiranja su zadovoljavajući. Daljnjim radom na jezgri, rezultati će bit sve bolji i bolji. Internet of Things (IoT) refers to interconnecting physical devices - vehicles, buildings and other things that include electronics, software, sensors, actuators, and network connectivity that enables these objects to collect and exchange data. IoT allows remote control of objects through existing network infrastructure, creating opportunities for a more direct integration of the physical world into computer systems and improved efficiency, accuracy and economic benefits, with reduced human intervention. The aim of SymbIoTe project is to achieve the interoperability of the IoT platform, and in order to achieve that, IoT platforms must register and exchange information in one place. SymbIoTe Core is used to register devices and exchange information between the platforms on which the devices are located. In this paper, the performance of symbIoTe Core are tested. The goal of testing is to see how the core reacts when a certain number of users access to it in a short time and how many requests can successfully process and respond to them. Tests were conducted using Apache JMeter and Apache Benchmark tools. Testing was carried out on the same computer on which the core and cloud were running. Testing proved successful and the test results are satisfying. With further work on the core, the results will be better and better.