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NDC-Magazine_3-2014-web-hele-bladet

NDC-Magazine_3-2014-web-hele-bladet

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© hobbit /ShutterstockThe system consists of roadside sensors, embeddeddevices for vehicle registration and classification, a datagathering network and a server side application for analysis,storage and reporting.The information that is gathered should be harmless froma privacy point of view. The sensors utilise induction andpressure sensitivity. They are built into the road pavementand do not register any identifying information about thepassing vehicle, owner or driver. Only the fact that a vehiclehas passed, and its speed and weight, is logged. Themodel, colour or registration number cannot be detectedby the sensors.A registration and classification device converts the magneticsignature of a vehicle into a record containing a timestamp and the measured vehicle length, weight and speed.The record is then transmitted over a standard Internet connectionusing OPC-UA, a protocol stemming from the automationand process control industry. The data is encodedin a compressed binary format while the protocol itselfguarantees reliability, security and integrity - at the sametime being platform independent and resource efficient.The record is received by a Java application that doessimple near-time analysis. As an example, it is importantto immediately detect and flag any vehicle that is drivingin the wrong direction on a motorway. Such a situation isextremely dangerous and nearby drivers should be informedthrough any channels available. The detection of these socalled"ghost drivers" is based on the registration of negativespeeds. On two-lane roads, however, a negative speedmight come from a car passing another car - which is a normalevent. The application thus contains logic to separatethese two situations from each other.The record is then stored in a database. Here NoSQL technologyprovides the needed support for high-speed writes,large data volumes, robustness and quick and efficientreporting. The system stores all records explicitly to securefull flexibility in the report creation, both for current andhistorical data.Currently, the system is in its start-up phase. The softwarehas all the needed basic functionality for data-gathering andreporting. A large batch of roadside sensors is now beingacquired and will be installed along the main roads in Norwayin the next couple of months. After that, the system will beenhanced with new functionality and adaptations for largertraffic volumes as more and more sensors get installed.One of the main goals of the system is to improve road trafficstatistics for better maintenance planning and investmentcontrol. However, it is also a clear goal that the systemshould provide open and near real-time traffic data to thepublic and to public and private institutions. There are severaluse cases that illustrate the value of such data: policeor ambulance drivers in an emergency can get driving recommendationsthat consider the current traffic situation.Ordinary drivers can be advised about congestions aheadand be offered alternative routes. Also, parcel service companiescan provide more precise estimates on expectedarrival times to their customers.The potential value of this system thus spans efficient publicspending, nice-to-have information for technology and/or driving nerds and time savings of potentially life-savingcharacter. We will need to wait some time to see how thesystem will be used and whether its full potential will bereached. One thing is clear: all of this is made possible justby using software, sensors, the Internet and hardware thatis connected!Kristoffer is a Scientist at BEKK. He hasbeen a developer, team lead or solutionarchitect the latest 15 years and hasbroad experience from a variety of fieldssuch as search engines, performancetuning, NoSQL for analytics and 3Dgraphics. At the moment he is mostlyworking on systems architectures fordistributed stream processing.6

One day ofInternet of Things6. NovemberRadisson Blu Scandinavia Oslointernetofthingsday.comCONNECTING PEOPLE AND THINGS - BRIDING BUSINESS AND TECHNOLOGYThe term Internet of Things and its possibilities have been discussed for a decade, however we seem to be at a point ofrapid acceleration of the field. In 2008 the number of devices on the internet exceeded the number of people on the earth.By 2020 it is estimated that there will be 50 billion devices on the internet.TIME BUSINESS & APPLICATIONS TECHNICAL I TECHNICAL II08:00 - 09:00 Registration – Coffee and snacks09:00 - 10:00 Keynote: Internet of Things – a driver for innovation and growth - John Baekelmans (Business & Applications track)BREAK10:15 - 10:45 Enabling Business transformation bypredictive analytics, a case studyThyssenKrupp Elevators - John HicklinInternet of Things – Hyper-Scale Controland Analytics Systems on Microsoft Azure(and Windows Server) - Clemens VastersBluetooth Smart, the standard that will fuelthe IoT growth - Reidar Martin Svendsen10:45 - 11:15 Is it possible to secure micro-controllers usedwithin IoT? - Aaron ArdiriBREAK11:30 - 12:00 IoT & The People-Centric Approach:12:00 - 12:30Transforming lives in a meaningful way -Anna KirahLUNCH BREAK13:30 - 14:00 The anatomy and technology ofconnected products - Nick LudlamA fragile internet of things -Einar Otto Stangvik & Erlend OftedalAudio Design and Branding for the Internetof Everything - Tom TronesBeating the traffic jam using IoT -Kristoffer Dyrkorn & Erling Berg-TesdalElixir and the Internet of Things -Douglas T. RohrerHow a simple IoT solution is driving sales andempowering the customer - Stephen Harrison14:00 - 14:30 Supercharge your IoT toolbox with MQTTand Node-RED - Simen SommerfeldtBREAK14:45 - 15:15 Using IoT in health care - Johan Ivarson New Bits, New Pieces: Inspiration forbuilding IoT for everyday use - Aras Bilgen15:15 - 15:45 An early road-map to making the right Internetof Things investment - Thor Henning HetlandBREAK16:00 - 16:45 Real-Time Data From One Million Sensors -Steinar Rune Eriksen & Ståle HeitmannBREAKRealTime communication and IoT walks handin hand - Uffe Björklund17:00 - 17:30 Closing Keynote by Steve Teixeira17:30 - late Evening mingle with drinks and tapasElectric driving with front end technology -Trygve LieInternet of Machine Learning -Kristoffer Rolf DeinoffJavaScript army – making things walk, talk,and network to do your bidding - Suz Hinton

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