Smart sensors have become and will continue to constitute an enabling technology to wirelessly connect platforms and systems and enable improved and autonomous performance. Automobiles have about two hundred sensors. Airplanes have about eight thousand sensors. With technology advancements in autonomous vehicles or fly-by-wireless, the numbers of these sensors is expected to increase significantly. The need to conserve water and energy has led to the development of advanced metering infrastructure (AMI) as a concept to support smart energy and water grid systems that would respond to emergency shut-offs or electric blackouts. Through the Internet of things (IoT) smart sensors and other network devices will be connected to enable exchange and control procedure toward reducing the operational cost and improving the efficiency of residential and commercial buildings in terms of their function or energy and water use. Powering these smart sensors with batteries or wires poses great challenges in terms of replacing the batteries and connecting the wires especially in remote and difficult-to-reach locations. Harvesting free ambient energy provides a solution to develop self-powered smart sensors that can support different platforms and systems and integrate their functionality. In this dissertation, we develop and experimentally assess the performance of harvesters that draw their energy from air or water flows. These harvesters include centimeter-scale micro wind turbines, piezo aeroelastic harvesters, and micro hydro generators. The performance of these different harvesters is determined by their capability to support wireless sensing and transmission, the level of generated power, and power density. We also develop and demonstrate the capability of multifunctional systems that can harvest energy to replenish a battery and use the harvested energy to sense speed, flow rate or temperature, and to transmit the data wirelessly to a remote location. / PHD / Smart sensors are an essential part of planned connected communities, smart cities and buildings, structural health and pollution monitoring, and autonomous systems including air and ground vehicles. For example, these sensors can be used to monitor different buildings functions such as water flow rates, pressure and temperature, smoke detectors, HVAC and fire alarms systems. Most of the current smart sensors are powered by batteries or connected to a power source with wires. Batteries will need to be replaced frequently. Wires will add a cost and weight to the system. On the other hand, energy can be harvested locally from different sources to power these sensors. In this dissertation, we develop and experimentally assess the performance of energy harvesters that draw power from air or water flows. These devices include centimeter-scale micro wind turbines, piezo aeroelastic harvesters, and micro hydro generators. The level of generated power, and power density of these devices and their capability to support wireless sensing and transmission are evaluated. We also develop and demonstrate the capability of using one device to harvest energy to replenish a battery over specified time periods and use the harvested energy and the same device to sense speed, flow rate or temperature, and to transmit the data wirelessly to a remote location over other time periods.

International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The CENTS Program is a Central Test and Evaluation Investment Program (CTEIP) effort conducted by the 46th Test Wing at Eglin Air Force Base, Florida. This project uses advanced internetworking technology to collect data unobtrusively from multiple Line Replaceable Units (LRU's) within an aircraft without the expense of running new wiring. The data is transported to a master network controller using the existing aircraft powerlines at a raw data rate of over 10 Mbits/s. Sensors are integrated into the shells of the LRU's data bus connectors to minimize the number of aircraft modifications required for a test. CENTS began in January 2000 as an OSD CTEIP Sponsored Test Technology Development and Demonstration (TTD&D) project and is currently in Phase 2 of the effort. Phase 1 saw the successful demonstration of the use of MIL-STD-704 power busses to establish a virtual network for data transport. This paper reviews the current status and past achievements of the CENTS TTD&D program as well as describing some immediate potential pay- offs for the Test and Evaluation community in the near-term.

This PhD thesis introduces basic concepts of smart chemical sensors design, which are afterwards applied to a particular application: the analysis of natural gas. The thesis addresses thus two sets of objective, a first set of objectives related to the conceptual design of a smart chemical sensor using smart sensor standards: - The design of an optimal smart chemical sensor architecture - The novel combination in a working prototype of the highly complementary smart sensor standards IEEE-1451 and BS-7986 A second set of objectives is directly related to the selected application. Natural gas quality control. Natural gas is an energy source of major importance in the world energy supply, its quality control is increasingly important due to its origin-dependent properties and the progressive liberalization of the energy market. The objectives related to this application are: - To solve the natural gas quality analysis problem by using a lower cost approach taking advantage of MEMS technology, smart sensor features, and embedded intelligent signal processing. - To select suitable sensing technologies and associated signal processing. An overall goal addressed by the PhD Thesis is in the end the reporting of a working smart sensor prototype implementing all the smart sensor features, MEMS based natural gas analysis and advanced signal processing as a demonstration of a novel low-cost and high speed natural gas analyzer. The thesis covers this research along 7 chapters, introducing the concepts and application in chapters 1 and 2, the objectives in chapter 3, the simulation of a proposed MEMS sensor approach in chapter 4, the description of the advanced signal processing approach adopted in chapter 5, the description of the electronics and engineering of the smart natural gas analyzer prototype in chapter 6, and finally the conclusions of the work in chapter 7. / La tesis introduce conceptos básicos sobre el diseño de sensores químicos inteligentes, en particular presenta los estándares propuestos IEEE-1451 y BS-7986, y elabora una propuesta para el diseño óptimo de dichos sensores químicos inteligentes. Se implementa la propuesta de diseño para una aplicación concreta, el análisis de gas natural. Además de la aplicación de los conceptos sobre sensores químicos inteligentes se pretende además diseñar un analizador compacto, rápido y de bajo coste, para ello se estudia el uso de un microsensor termoeéctrico como sensor principal del analizador. Una vez probada su viabilidad se implementan ambos conceptos (sensores inteligentes y microsensor termoeléctrico) en un prototipo funcional validado en laboratorio. Como resultado se obtiene una propuesta para el diseño de sensores químicos inteligentes basada en estándares, y por otro lado se presenta un nuevo analizador de gas natural, más rápido y compacto que los existentes. Los resultados obtenidos originan diversas publicaciones en revistas así como dos patentes de método y sistema.

Made available in DSpace on 2015-03-03T15:47:46Z (GMT). No. of bitstreams: 1 JoseAGS_DISSERT.pdf: 2330310 bytes, checksum: 85a4a01483a651e7ffb81f908e9c087a (MD5) Previous issue date: 2010-08-06 / Os sensores inteligentes s?o dispositivos que se diferenciam dos sensores comuns por apresentar capacidade de processamento sobre os dados monitorados. Eles tipicamente s?o compostos por uma fonte de alimenta??o, transdutores (sensores e atuadores), mem?ria, processador e transceptor. De acordo com o padr?o IEEE 1451 um sensor inteligente pode ser dividido em m?dulos TIM e NCAP que devem se comunicar atrav?s de uma interface padronizada chamada TII. O m?dulo NCAP ? a parte do sensor inteligente que comporta o processador. Portanto, ele ? o respons?vel por atribuir a caracter?stica de intelig?ncia ao sensor. Existem v?rias abordagens que podem ser utilizadas para o desenvolvimento desse m?dulo, dentre elas se destacam aquelas que utilizam microcontroladores de baixo custo e/ou FPGA. Este trabalho aborda o desenvolvimento de uma arquitetura hardware/software para um m?dulo NCAP segundo o padr?o IEEE 1451.1. A infra-estrutura de hardware ? composta por um driver de interface RS-232, uma mem?ria RAM de 512kB, uma interface TII, o processador embarcado NIOS II e um simulador do m?dulo TIM. Para integra??o dos componentes de hardware ? utilizada ferramenta de integra??o autom?tica SOPC Builder. A infra-estrutura de software ? composta pelo padr?o IEEE 1451.1 e pela aplica??o espec? ca do NCAP que simula o monitoramento de press?o e temperatura em po?os de petr?leo com o objetivo de detectar vazamento. O m?dulo proposto ? embarcado em uma FPGA e para a sua prototipa??o ? usada a placa DE2 da Altera que cont?m a FPGA Cyclone II EP2C35F672C6. O processador embarcado NIOS II ? utilizado para dar suporte ? infra-estrutura de software do NCAP que ? desenvolvido na linguagem C e se baseia no padr?o IEEE 1451.1. A descri??o do comportamento da infra-estrutura de hardware ? feita utilizando a linguagem VHDL

Indiana University-Purdue University Indianapolis (IUPUI) / Feng An and Maher Rizkalla, “Temperature/CO2 Sensor Embedded System Based Communications”, enrolled in ISCA FIRST INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND APPLICATIONS, to be held in Orlando, September 15-17, 2010. / In this work, inter-integrated circuit mode (I2C) software was used to communicate between sensors and the embedded control system, utilizing PIC182585 MPLAB hardware. These sensors were built as part of a system on board that includes the sensors, microcontroller, and interface circuitry. The hardware includes the PIC18 processor, FPGA chip, and peripherals. A FPGA chip was used to interface the processor with the peripherals in order to operate at the same clock speed. This hardware design features high level of integration, reliability, high precision, and high speed communications. The software was first designed to operate each sensor separately, then the sensor system was integrated (to combine all sensors, microcontroller, and interfacing circuitries), and the software was updated to provide various actions if triggered by the sensors. Actions taken by the processor may include alarming signals that are based on threshold values received from the sensors, and inquiring temperature and CO2 readings. The system was designed for HVAC (heating, ventilating and air conditioning) applications and industrial settings. The overall system incorporating temperature and CO2 sensors was implemented and successfully tested. The response of the multi-sensor system was agreeable with the design parameters. The system may be expanded to include other sensors such as light senor, pressure sensor, etc. Monitoring the threshold values should add to the security features of the integrated communication system. This design features low power consumption (utilizing the sleeping mode of the processors), high speed communications, security, and flexibility to expansion.

Este trabalho apresenta o desenvolvimento de um método para garantir a proteção dos dados contra falhas de comunicação, em redes de sensores inteligentes sem fios. A rede sem fios foi empregada nos ensaios de modelos físicos reduzidos em centrífuga para estudar o comportamento das âncoras \"tartaruga\", utilizadas nas linhas de ancoragem de sistemas oceânicos para produção de óleo e gás em águas profundas. O emprego da tecnologia de redes de sensores sem fios tem aumentado em muitas áreas da sociedade, principalmente na engenharia. Dessa forma, muitos problemas estão sendo enfrentados e estudados pelos pesquisadores. Sobretudo no que diz respeito à interferência ambiental, relação de potência e alcance, integridade da informação, miniaturização dos dispositivos, autonomia de energia, limitação de algoritmos e vida útil. A inserção da tecnologia de redes de sensores inteligentes sem fios nos ensaios de modelos físicos reduzidos em centrífuga, além de ser inédita no Brasil, permitirá avanços significativos na determinação de parâmetros que, atualmente, são de difícil obtenção com tecnologias convencionais como os sistemas de aquisição de dados e controle que utilizam cabos e fios. Muitas vezes depara-se com a inconveniência do peso dos cabos e dificuldades de instalação dos dispositivos nos modelos, pela sua pouca portabilidade. / This work present a method development to guarantee of the integrity data in the wireless smart sensor networks, employed in centrifuge physical modeling tests of anchors used as fixing devices of deep water production oil and gas systems. The use of wireless smart sensor networks technology has been increasing in many engineering areas. In spite of this evidence, lots of problems are being faced and studied by the researchers, environmental interference, power and reach relations, integrity of the information, miniaturization of the devices, energy autonomy, algorithms and useful life. The use of the wireless smart sensor networks technology in the reduced physical models test in centrifuge, by first time in Brazil, will allow significant advances in the parameters determination. The conventional instrumentation presents inconvenience of the weight cables and difficulties of the devices in the models by limited portability.

STREAM is a 4-year multi-site training network that aims at career development of Early Stage Researchers (ESRs) on scientific design, construction manufacturing and of advanced radiation instrumentation. STREAM targets the development of innovative radiation-hard, smart CMOS sensor technologies for scientific and industrial applications. The platform technology developed within the project will be tested in the demanding conditions posed by the CERN LHC detectors' environment as well as European industry leaders in the field of CMOS imaging, electron microscopy and radiation sensors. This leveraging factor will allow to fine-tune the technology to meet the requirements of industrial application cases on demand such as electron microscopy and medical X-ray imaging, as well as pathway towards novel application fields such as satellite environments, industrial X-ray systems and near-infrared imaging. The project will train a new generation of creative, entrepreneurial and innovative early-stage researchers and widen their academic career and employment opportunities. The STREAM consortium is composed of 10 research organisations and 5 industrial partners; the network will provide training to 17 ESRs. STREAM structures the research and training in four scientific work-packages which span the whole value-chain from research to application: CMOS Technologies Assessment, Smart Sensor Design and Layout, Validation and Qualification, Technology Integration, and Valorization.

Este trabalho apresenta o desenvolvimento de um método para garantir a proteção dos dados contra falhas de comunicação, em redes de sensores inteligentes sem fios. A rede sem fios foi empregada nos ensaios de modelos físicos reduzidos em centrífuga para estudar o comportamento das âncoras \"tartaruga\", utilizadas nas linhas de ancoragem de sistemas oceânicos para produção de óleo e gás em águas profundas. O emprego da tecnologia de redes de sensores sem fios tem aumentado em muitas áreas da sociedade, principalmente na engenharia. Dessa forma, muitos problemas estão sendo enfrentados e estudados pelos pesquisadores. Sobretudo no que diz respeito à interferência ambiental, relação de potência e alcance, integridade da informação, miniaturização dos dispositivos, autonomia de energia, limitação de algoritmos e vida útil. A inserção da tecnologia de redes de sensores inteligentes sem fios nos ensaios de modelos físicos reduzidos em centrífuga, além de ser inédita no Brasil, permitirá avanços significativos na determinação de parâmetros que, atualmente, são de difícil obtenção com tecnologias convencionais como os sistemas de aquisição de dados e controle que utilizam cabos e fios. Muitas vezes depara-se com a inconveniência do peso dos cabos e dificuldades de instalação dos dispositivos nos modelos, pela sua pouca portabilidade. / This work present a method development to guarantee of the integrity data in the wireless smart sensor networks, employed in centrifuge physical modeling tests of anchors used as fixing devices of deep water production oil and gas systems. The use of wireless smart sensor networks technology has been increasing in many engineering areas. In spite of this evidence, lots of problems are being faced and studied by the researchers, environmental interference, power and reach relations, integrity of the information, miniaturization of the devices, energy autonomy, algorithms and useful life. The use of the wireless smart sensor networks technology in the reduced physical models test in centrifuge, by first time in Brazil, will allow significant advances in the parameters determination. The conventional instrumentation presents inconvenience of the weight cables and difficulties of the devices in the models by limited portability.

The aim of this diploma thesis is to create universal application able to visualize M2M data and allows remote management of smart sensors using TR-069 protocol. First part of this thesis contains comprehensive evaluation of TR-069 standard and OSGi platform. Next, extensive analysis of embedded databases with detailed description of SQLite platform is provided. Auto-configuration server genieacs and modus TR-069 client, two parts needed for the proper run of remote configuration, are described in more detail in following section. Practical part of this thesis contains description of all created OSGi bundles together with communication interfaces. Moreover, the description of designed database and developed user interface is given.

This thesis aims to investigate a digital, emerging business model, which just enjoys the highest attention in many industrial sectors. The industry 4.0 changes how original equipment manufacturers (OEMs) retain their competitiveness and offer innovative solutions to their customers. Therefore, this master thesis investigates the diverse opportunities of usage-based business models – namely Pay-per-X / Equipment-as-a-Service – from the perspective of a sensor-tech start-up. The company, which can act as a technical enabler for Pay-per-X, is located in Germany and has various markets leading machine and component manufacturers as customers. This projects’ goal is to get an in-depth understanding of the business model and how the company (with their technology) can participate in the market, which is estimated to have a size of 131.2m USD in 2025. Therefore, mainly qualitative research methods have been applied – however, quantitative sections enrich the analysis part of the thesis. Nine expert interviews were conducted, and a calculation tool was developed, which aims to easily convince OEMs of the new business models through modeling a business case, by incorporation of the most relevant parameters. Two use cases were analyzed in the fields of production machines and commercial vehicles. This is followed by a short excursus to a required Pay-per-X cloud software, where requirements were defined based on machine users’ needs. Based on these insights, a positioning strategy for the case company within this field is proposed later-on, which puts emphasis on how the firm can act as a technical enabler for Pay-per-X business models. / Syftet med denna avhandling är att undersöka en ny digital affärsmodell som just nu får stor uppmärksamhet inom många industrisektorer. Industri 4.0 förändrar hur tillverkare av originalutrustning behåller sin konkurrenskraft och erbjuder innovativa lösningar till sina kunder. Därför undersöker denna masteruppsats de olika möjligheterna med användningsbaserade affärsmodeller - nämligen Pay-per-X / Equipment-as-a-Service - ur ett startupföretag inom sensorteknik. Företaget, som kan fungera som en teknisk möjliggörare för Pay-per-X, är beläget i Tyskland och har olika marknadsledande maskin- och komponenttillverkare som kunder. Projektets mål är att få en djupgående förståelse för affärsmodellen och hur företaget (med sin teknik) kan delta på marknaden, som beräknas ha en storlek på 131,2 miljoner US-dollar år 2025. Därför har huvudsakligen kvalitativa forskningsmetoder tillämpats - men kvantitativa avsnitt berikar analysdelen av avhandlingen. Nio expertintervjuer genomfördes och ett beräkningsverktyg utvecklades, som syftar till att enkelt övertyga OEMs om de nya affärsmodellerna genom att modellera ett affärscase, genom att införliva de mest relevanta parametrarna. Två användningsfall analyserades inom områdena produktionsmaskiner och kommersiella fordon. Detta följs av en kort utflykt till en nödvändig Pay-per-X-molnmjukvara, där kraven definierades utifrån maskinanvändarnas behov. På grundval av dessa insikter föreslås senare en positioneringsstrategi för fallföretaget inom detta område, som lägger tonvikten på hur företaget kan fungera som en teknisk möjliggörare för Pay-per-X-affärsmodeller.