Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Proof of concepts and use cases with IoT technologies


Published on

Set of proof of concept and use cases with internet of things technologies are presented with one sliders. In each case, the IoT challenge, result, benefits and use case example are given.

Published in: Technology

Proof of concepts and use cases with IoT technologies

  1. 1. Proof of concepts and use cases with IoT technologies Productivity with Internet of Things / Industrial internet
  2. 2. 202/01/2015 2 Sensor networks
  3. 3. 3 IoT Challenge: Dynamically and reliably measure and transmit info as close to teeth contacts as possible to get a representative figure of affecting circumstances and load profiles Potential customer segment is critical mechanical component e.g. gear, bearings manufacturers and users e.g. in marine and wind power industry Support model based lifetime estimation in industrial applications. Result 1. DWTS to spray wear and high temperature tolerant stain gauges, wirings and connectors on the functional surfaces of gear tooth profile. 2. Passive DWTS tooth crack sensor successfully connected to NFC tag reader for wireless crack indication. 3. Ultrasound technology to measure and transmit deflections along the gear contacts. Technology Readiness Level: PoC at the laboratory level Benefits: Identification of operational gear teeth loadings and impending faults with implemented sensors supporting for process management and model based lifetime estimation. Robust sensors technologies will provide new possibilities for future gear condition based maintenance solutions. No existing low cost solutions on the market. Contact person: Jari Halme Use case example: Gear tooth loading and impact sensing Utilization e.g. at Wärtsilä, ATA Gears etc. CBM cases for extending overhaul interval. Utilizatio Further development/ utilization will be carried out in ArTEco project (Martec II)
  4. 4. 4 Flexible wireless sensor for structural and condition monitoring IoT Challenge Limited number of wireless solutions to measure strain on curved surfaces in structural and condition monitoring Rigid sensors tend to get damaged or broken on curved surfaces Result Flexible wireless sensor demonstrator strain measurement of curved steel structure Mobile phone as a user interface Well protected against environmental stresses by vacuum casting encapsulation technique. TRL 6 proof-of-concept Customer segments: construction and building, machine shop industry, healthcare Benefits Low-cost easily deployable measurement system Energy efficient cable-free instrumentation Customised measurement system Protected against environmental stresses High volume pilot manufacturing possibility at VTT PrintoCent Contact person Markus Tuomikoski Use case: Distributed, wireless monitoring of roof structures of large buildings, such as supermarkets, music and sport halls etc. Mobile terminal as display and control unit
  5. 5. 5 Real-Time Sensor Life-Cycle Management and Sensor R&D IoT Challenge: Sensors & laboratory instruments are not managed efficiently: – Most of the problems relate to SW. – High risk involved in SW upgrades: versions, calibrations, etc. Sensor network lifecycle management has severe problems: – Lack of support & availability/usability issues. – Manual calibrations and maintenance. • Excessive needs for customization and modifications: – Vendor and end-user systems are all different. – Lack of interoperability, connectivity and interfacing. Future Factories have interrogative sensors that are actively troubleshooting processes. Result We have demonstrated real-time sensor R&D and production versions that enable simultaneous usage and development of sensor software. Similarly, we can run multiple sensor calibrations and have smooth transition between them. There is a proof-of-concept demonstrator, software packages, algorithm libraries, IPR Maturity as Technology Readiness Level (TRL: 3-4), by the end of year 2014 (TRL: 5-6) There should be 1-2 patents by the end of year. Already 7 invention disclosures. In early October, we will have two real sensors for demonstration. Benefits: Sensor availability, robustness, connectivity, easy of maintenance and interoperability. Real-time sensor R&D, comparisons, support, diagnostics. Parallel SW versions (prod, R&D, trouble-shooting, disruptive R&D…). Contact persons: Pekka Teppola (, +358 40 834 0661) Pasi Hyttinen (, +358 40 532 8724) Use case example: With SpectraCloud technology, sensor companies can speed up their sensor R&D and simultaneously validate sensor software in real-time. This directly translates to improved sensor performance and better service quality for end-users. In addition, end-users (and automation companies) can validate safely and, in parallel, different sensor calibrations before implementing the closed-loop process control. CONFIDENTIAL
  6. 6. 6 Networked sensoring and measurements in mining industry IoT Challenge: Mining industry needs more reliable on-line measurements for process optimization to achieve energy and material savings as well as better product quality The most potential customer segment is mining industry (both mining and instrument companies) Data handling and calibration can be realized remotely Result Measurement needs in mining industry identified VTT offering for those needs mapped (TRL 3-6) A proof-of-concept study as well as development of algorithm for particle size analysis of crushed stone for Metso Minerals (TRL 3) Benefits: Reliable, robust on-line measurement of particle size distribution No existing robust, low cost solutions which can measure reliably the whole particle size distribution of crushed stone on the market. Contact person: Matti Okkonen, Katariina Rahkamaa-Tolonen Use case example: Minimizing losses in batching plants with the help of on-line information about particle size of chips.
  7. 7. 7 Sensor fusion for more accurate activity detection (& navigation) IoT challenge: Accurate, low energy and connectivity-free navigation methods are urgently needed in consumer devices and in special industry & security devices. New emergency call standards also require the altitude/floor information of the caller. Barometric sensors together with inertial sensors and sensor fusion algorithms could provide the needed functionality (activity & navigation). Result: Testing & utilisation of the VTT’s patented MEMS barometric sensor that has excellent sensitivity (~0.5 Pa) and good absolute accuracy (~5 Pa), potentially allowing detection of altitude differences as small as 5 cm. Sensor fusion algorithm(s) that utilise the barometric sensor as well as “regular/existing” integrated smartphone sensors to detect user activity and support in navigation. Benefits: The accuracy of the sensor is better than the current market leader (Bosch BMP180) and on-par with the upcoming successor (Bosch BMP280). The sensor and the (sensor fusion) algorithm(s) together can provide competitive edge for product manufacturers (wrist devices, smartphones) seeking to integrate better activity detection and navigation functionality. Contact persons: Jussi Polet, Henry Rimminen, Dan Bendas, Antti Iivari Use case example: An end-user “exercise motivator” mobile application, that uses the sensor(s) and sensor fusion algorithm(s) to display more detailed user activity information in relation to altitude information.
  8. 8. 802/01/2015 8 Efficient data management and utilisation
  9. 9. 9 An approach from data to informed decisions IoT Challenge: IoT solutions are typically used to optimise daily operation and maintenance of a system but data collected and analysed by IoT solutions can support strategic level decisions which determine substantial part of the life cycle costs and profits The approach is applicable to wide range of industrial branches Result The prototype tool demonstrates concretely the approach how raw data collected by sensors and manually can be analysed and utilised when prioritising development targets, defining investment portfolio etc. The approach for data utilisation is well established and the TRL level of the tool is 4. Benefits: Customers are able to make informed and transparent decisions by the structured approach. Currently commercial tools are mainly focused on data analysis in operational level but tools for strategic level decision support are rare Contact person: Susanna Kunttu Use case example: Investment portfolio definition begin with selecting investment targets by analysing system condition, unavailability, production bottlenecks, maintenance costs etc. Each investment proposal is then uniformly and transparently evaluated to select most profitable investment portfolio.
  10. 10. 10 Tools for Fast Data Discovery and Visualization IoT Challenge: Much of the business intelligence data is stored in legacy systems and databases The data in legacy systems is often slow to integrate or export to applications other than its main function This challenge is likely to become more important as the number of data sources increase (as is anticipated by the adoption of IoT) Result: FastData project result is a proof-of-concept demonstration of a data pipeline to combine existing energy consumption data (from smart energy meters in Otaniemi area) with hourly electricity price information from Nordpool (Nordic electricity stock) This demonstrator utilizes semantic data integration framework S-APL Online demo: Benefits: Real-time integration and data discovery from legacy systems and databases without the need for costly and custom-made ETL tools Real-time information is needed to drive timely decisions to improve resource efficiency, improve customer retention and customer experience (just to name a few) Information needs to be readily available (e.g. on online dashboards), not behind legacy system interfaces and handcrafted Excel sheets Contact person: Ville Antila Example utilization process in 3 steps: 1. Connect legacy systems and databases (real-time, semantic integration) 2. Discover new relationships, find correlations and hidden variables/factors 3. Renew business processes or business rules, find potential new products Hourly distribution electricity cost of selected buildings in Otaniemi, Espoo
  11. 11. 11 Online percentile estimation for statistical compression of monitoring data IoT Challenge: The data growth due to increasing number of networked sensors or measurement agents. Variable and possibly very high data rate. Recovering observed history, trends or anomalies require saving of the past data. Supporting situation awareness require accurate real-time state information. IoT issue: Memory, CPU power and communication capacity are typically limited resources at the places where data is measured/collected. One potential customer segment is IoT based remote monitoring, e.g. remote monitoring of wind turbines, mobile base stations or other hard-to- reach systems. Another potential customer segment is network SLA monitoring. Result The result is a generic and tested C program library. It is an online algorithm for estimation/computation of the percentiles of the observed empirical distribution of the data. It works with fixed memory and limited CPU power. Market closeness is 5 or 6 on scale 1…7. The result works in real applications but it is not intended to be sold as such. It can be a part of many different IoT (and other) applications. Benefits: Significant reduction in the amount of data (bytes) needed to be stored. Saved data will be automatically structured which makes it fast to recognize trends or anomalies. Generic code can be tailored and applied to many situations. It is a fast algorithm. Contact person: Jorma Kilpi Use case example: Wind turbines monitor themselves and produce a lot of data. From monitoring data the decision of expensive repair actions are made. Data connection from wind turbines to internet is usually slow and expensive. Processing at the wind turbine is limited. Information High data rate. Online statistical filtering of data with fixed memory and limited computing resouces. Low data rate .
  12. 12. 12 Individually adjusted thermal indoor environment IoT Challenge: Currently building automation does not take in to account individual preferences on temperature. Result Individual’s preferences are used to adjust the temperature of the room or space. The person is identified with common RFID badge or similar. Preference profile is fetched from database, and room temperature and other factors are adjusted accordingly. No sensors carried by user. In advanced case, person’s location in the room is used for local temperature control. Based on sophisticated Human Thermal Model, which is VTT’s IPR Proof-of-concept, TRL 5 (September 2014) Benefits: Better occupant satisfaction and energy saving. Enables new service solutions for customer segments such as hospitals, hotels, offices, transportation. Contact person: Pekka Tuomaala Use case example: Building automation systems detects that Mary has arrived at her office. Utilizing this information, as well as space temperature level monitoring, a the solution optimizes temperature at Mary’s post – maximising Mary’s thermal satisfaction and avoiding unnecessary energy consumption.
  13. 13. 13 SolarSon: Automated infrared copter system for photovoltaic solar plants IoT Challenge: Once photovoltaic solar panels are installed on a large solar plant, maintenance becomes a big issue. Solar energy operation & maintenance (O&M) companies, solar cell manufacturers offering O&M services and large PV plant owners need efficient tools for detecting faults in the plants. IoT and industrial internet enable efficient solutions to the big plants. Result SolarSon IR UAV system detects faulty solar panels fast and a fault map of the plant is created. IPR of the copter and cloud based data analysis system is created. Business roadmap is done. Benefits: Efficient and cost-effective way to ensure sustained profitability of large photovoltaic systems. System is faster than handheld and rectractable pole IR methods and more cost effective than ordinary helicopter/airplane methods. Contact person: Pierre-Emmanuel Panouillot Use case example: A 80 MW / 2,4 km2 photovoltaic solar plant is inspected fast and automatically and a map of faulty panels is created. Customer replaces faulty panels with new ones, repairs cable connections and the plant maintains its electricity production in full power.
  14. 14. 1402/01/2015 14 Big data , roadmapping
  15. 15. 15 Big Data Architecture Survey IoT Challenge: VTT should be able to answer the architectural questions, make sensible tool selections and focus our offering and research on Big Data Potentially all VTT customers interested in data analysis (NSN, F-Secure,…) Data volume, variety and velocity is increasing all the time – new tools are being developed to handle it. Result Document giving a broad view on software components used on different layers on Big Data analysis Benefits: VTT is able to recommend the right Big Data software components for the customer and has the knowledge to use applicable Big Data tools in projects Contact person: Arttu Lämsä, Ville Könönen Use case example: A customer has wants to collect usage data from a mobile application. Using the knowledge on Big Data architectures, VTT is able to come up with a solution to store, analyze and monitor the data.
  16. 16. 16 Bluetooth roadmap for IoT IoT Challenge: IoT need low-power wireless hop from sensors to sensors and to masternode or routing hub Proprietary radio solutions do not give futureproof implementation Interfacing wirelessly with smartphone gives benefits of smartphone evolution, easy routing and futurepoof implementation platform Result New initiative for Bluetooth standard implements Mesh network over BT4.1. Current proposal is proprietary but open source. Initial evaluations of the proposed system are positive and provide very good backwards compatibility Tool for IoT projects to implement true internet of things over exsisting smartphone base. Benefits: Low cost IoT implementation for IoT projects and products Competition in smartphone space is scarce, since Bluetooth is dominating shortrange radio solution in smartphones, and when compared with wifi much more power efficient. Contact person: Mika S Sarén Implementation example: Role changing BT MESH nodes in CSR poposal
  17. 17. 1702/01/2015 17 Positioning, tracking and consumer behaviour
  18. 18. 18 People Flow Monitoring with Radar Sensor Network IoT challenge: IoT needs digital representation of a real world For example, people flow information is needed for dynamic operation of the automation systems in urban infrastructure. Current monitoring methods do not provide people tracking or do not function adequately in outdoor conditions (e.g. Kinect: problems in direct sunlight or rain/for/smoke, low range) Result: Radar is used for people tracking 24 GHz radar with TX power of 10 mW Embedded µC/FPGA control Radar prototype and detection algorithm in TRL4 Customer segments: lift vendors, building management system vendors Benefits: Reliable people and object tracking with low cost sensors (bill-of- materials <100€) Long range (up to 20m), ability to cover large areas with a single sensor Works indoors and outdoors, also in direct sunlight and rain Contact person: Pekka Pursula Use case examples: At a subway station crowds are being monitored using FlowRadar and guided by the use of adaptive lighting to use a correct number of escalators (service level vs. energy savings)
  19. 19. 19 People behaviour monitoring and classification IoT Challenge: Intelligent systems need to understand human needs Customer segment: brick and mortar stores need to offer personalised shopping experience to compete with online stores Result Implementation of people tracking by Kinect2 Implementation of people tracking by stereo camera Implementation of algorithms for 1) classifying behaviour of shoppers and 2) predicting locations where shoppers will stop in near future Offline tests of classification algorithms on real life data from Anttila; accuracy 60-80%, depending on data and task at hand Technology Readiness Level: 6 Benefits: Existing solutions are mainly used in labs; our system was used in real stores Our solution is less dependent on light and is less privacy-threatening than video camera – based solutions Allows more accurate and longer range tracking than previous version (> 8m.) Now we can offer better people tracking solution based on modern sensors Contact person: Johannes Peltola Use case example: • Shop managers get accurate information regarding numbers of customers stopping near certain stands vs. numbers of passers-by • Shop customers can get timely assistance when they stop near certain stands
  20. 20. 20 Wireless, energy-autonomous shelf-label (iLabel) IoT Challenge: Continuously changing prices cause a big amount of work in every retail-store. Especially big super-markets need a proper solution for this (S-chain, K-chain in Finland). Recording customer’s routes in a super-market gives valuable information for its operation. Data from and to the end of IoT chain. Result Our project is still on-going, but it will offer the challengin part of a toolset for solving above described challenges. We will implement a prototype combining all the technologies for the actual label, a few wireless technologies and understanding of configuring the potentially huge (50 000 nodes) network. TRL 6-7 Benefits: Saving costs of big amount of manual work, data on customers behaviour for layout design etc. Competitor (partner?) Marisense. Energy autonomous, tracing customers in a super-market. Competitors are battery powered, our utilises energy harvesting. Competitors have only on part of the label reconfigurable (they use stickers to complete the information given), we have all date configurable. Our solution is planned for huge networks (50 000 nodes). We include positioning of customers (trolleys, carts) in the concept. Our data transmission solution is quite novel, UWB and/or modulated light. Contact person: Timo Lehikoinen Use case example: Pricing of all goods in Prismas.
  21. 21. 21 Designing Attraction Points for Productive Business IoT Challenge: How it is possible to measure reliably behaviour and actions of a consumer in shopping environments and understand, what are their true attraction points? This challenge is proposed by retail operators, manufacturers, shop fittings manufacturers and e.g. some advertising agencies. VTT’s People Tracker will (hopefully) developed further towards an easy- to-use, low cost sensor network type solution. This will enhance opportunities to utilize eye movement tracking technologies and build novel, partially automated service concepts around it. Result: The basic result is a proof of concept (prototype) of a system, which produces visualisation of consumers’ movements e.g. in a store and a heat map of his attraction points. This data can be used by experts to analyse, what should be done to the setup in order to meet the requirements of the business. (Maturity of the technology: TRL7) Benefits: By getting information of customer’s attraction points the retailer can optimize e.g. product placements or optimize locations of signage. VTT’s solution helps to do decisions based on true behaviour of the customer instead of guessing, what is interesting for the customer. Contact person: Jari Kaikkonen. Use case example: Petteri wants to improve sales by rearranging some parts of his store. How he can reliably find out, what should be changed and evaluate the effect of changes to the behaviour of his customers? Petteri’s problem can be solved by using data gathered and visualized with VTT’s system and analysing the result by an expert. (Practically, this is a new, fact-based way to design customers’ attraction points in a shopping environment.)
  22. 22. 22 Ultra Wide-Band WSN platform with positioning IoT Challenge: One low cost platform for high speed data transmission, low power operation, and accurate positioning Easy standardized start-up for WSN and positioning applications In industrial environment tolerance for noise is essential. Easy adaptability for different applications is required as well The most potential customer segment is machine industry Result: Proof-of-concept demonstration for 3D positioning and user data transfer in mesh and star topologies, containing VTT developed software and positioning algorithm & some VTT designed HW This has created interest and 1 customer project has started already R&D is still needed: Completely VTT designed HW platform. improve features like reliability, range and throughput by optimizing SW Benefits: Multipurpose platform for industrial WSNs and positioning The UWB platform is noise tolerant and efficient data transmission. Yet advantages of traditional WSNs are not sacrificed, nodes are small and low cost. There exists several WSN platforms e.g. Zigbee based, also there are some UWB solutions but not combination like ours There are no commercial UWB solutions on the market yet, according to our knowledge. All plans we know usually concentrate on positioning only, we combine positioning and data transmission. I do not know any other institute or vendor having made MAC for IEEE 802.15.4 UWB. I do not know any other institute or vendor having made mesh for IEEE 802.15.4 UWB. MAC requires both start and mesh topologies; so our customers, too. Contact person: Timo Lehikoinen. Use case example: A robotic crane manufacturer can use the platform to locate end of a moving boom while rapidly transfering sensor data from the boom to a server database
  23. 23. 2302/01/2015 23 Security
  24. 24. 24 MEMS Crypto IoT Challenge: Data security is crucial for IoT. There is a risk that a successful attack which tampers with the measurement or control data might paralyze parts of the operation. Result Two pieces of MEMS cryptography modules have been built and their embedded software has been finished. Fits directly to popular embedded platform (Beagle Bone Black) Modules show good entropy of generated secret. System level software development is ongoing Design of a trust establishment protocol, which is secure and intuitive for the person who installs the measurement/sensor node. Potential customers: Industrial internet / IOT vendors. Industrial measurement/automation providers, such as Metso. Benefits: Tamper proof secure sensor node with easy initialization phase Competition is almost non-existent, since security of sensor networks has been somewhat neglected Contact person: Henry Rimminen Use case example: Successful attack which tampers with the measurement or control data might paralyze parts of the grid. The remote readable measurement nodes are secured with MEMS assisted cryptography.
  25. 25. 25 Combining network and physical system data for added benefits to both IoT Challenge: ICT systems in industrial sites are being compromised by attackers using cyber-, social- or physical weapons Result Definition of a shared context for all security services which can be used to detect intrusions and deviations that are not individually detectable, but as a group Result type: IPR Maturity of Technology: TRL-4 (Research to prove feasibility) Customers: ICT and other areas using ICT Benefits: Better detection of security threats in high-security systems and sites Competitive edge: VTT solution collection of data from separate (competing) systems The proposed solution improves cybersecurity through the use of big data and IoT paradigms Example: SAFE security monitoring system (by Combitech) has the same kind of features, but it is based on strong customisation Contact person: Mirko Sailio Use case example: Access from a specific console to a high- secure corporate information system is temporarily restricted from user A (e.g. until another form of authentication is performed), based on the fact that according to the physical access control system, she is currently located in another part of the facility.
  26. 26. 2602/01/2015 26 User interfaces
  27. 27. 27 Enhanced Interactive Augmented Reality Experience with Dynamic Print and Smart Phone (DynamicAR) IoT Challenge: Brand owners, consumer good and packaging manufacturers are looking for cost-effective, scalable methods for 1) sales promoting to differentiate their products; 2) product anticonterfeiting. Result A demo made for Android smart phone: an AR application using commercial temperature responsive inks printed on product (picture). First sales pitch with the demo coffee cups to a major brand owner (Nestle) and paper board converter (MetsäBoard) on Aug 9. A road map for developing ALVAR and ALVAR 3D Tracker created: Functionality for ALVAR etc with free open-source OpenGL Game Engine integration to support rendering of third- party 3D models for eg commercial purposes was achieved. In the future, the current AR SDK utilized in this demo could be replaced with ALVAR. TRL 5-7 Benefits: The benefit to the customer (= brand owner): Advanced method to get more info with less space in product: unlock many hidden stories/identification layers using just one marker. Possibility to apply for antifounterfeiting. Competitive edge: cost-effective, scalable opportunity by combining functional prints and smart phones. Contact person: Eero Hurme Use case example: Functional thermochromic marker printed on paper sleeve, mounted on paper board coffee cup: AR demo changing on smart phone screen whether cold or hot contents.
  28. 28. 28 Transparent Ultrasonic Transducers (TUT) for advanced user interfacing IoT Challenge: New user interfacing and interaction technologies are strongly and urgently needed to improve users’ experience towards immersive environment, augmented reality, wearable devices and smart machines etc. Result 18.09.2014: fully released TUT deice demonstrated on Si wafer; devices on glass wafers are coming soon; devices will be finallised by end of Sep. Then devices can be tested by impedance analyser etc. VTT unique ipr; TRL 3-4 Benefits: This is new and disruptive technology for ultrasonic perception with lower power, more efficient and more robust; The transparent ultrasonic eye tracking is a unique solution without blocking the sight and provides powerful touchless input method using same type of transducers Contact persons: Bin Guo Jani Mäntyjärvi Use case example: Proposed transparent ultrasonic transducer can be freely placed on top of the display element on any display technology, and or in the line of sight on eyewear. They can be used in PCs, TVs, mobile phones, google glasses, wearable devices, smart machines etc.