Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9466985
Christina Nicolaou, Ahmad Mansour, Philipp Jung, Max Schellenberg, A. Würde, Alex Walukiewicz, J. N. Kahlen, Marius Shekow, K. Van Laerhoven
Today’s maintenance and renewal planning in transformer stations of energy distribution networks is mainly based on expert knowledge, experience gained from historical data as well as the knowledge gathered from regular on-site inspections. This approach is already reaching its limits due to insufficient databases and almost no information about the stations’ condition being gathered between inspection intervals. A condition-based strategy that requires more maintenance for equipment with a high probability of failure is needed. Great potential is promised by intelligent sensor-based diagnostics, where objective comparability can be achieved by condition monitoring of the station fleet. Cost-effective micro-electromechanical (MEMS)-bases sensor systems promise to provide a suitable solution for network operators and enable a widespread use. In our paper, we present a MEMS-based sensor system, that can be used to gain information about network transparency, station safety as well as maintenance and renewal planning. Moreover, we propose an intelligent measurement scheme which adaptively selects relevant data and avoids unneeded redundancy (Smart Data instead of Big Data).
{"title":"Intelligent, sensor-based condition monitoring of transformer stations in the distribution network","authors":"Christina Nicolaou, Ahmad Mansour, Philipp Jung, Max Schellenberg, A. Würde, Alex Walukiewicz, J. N. Kahlen, Marius Shekow, K. Van Laerhoven","doi":"10.1109/SSI52265.2021.9466985","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9466985","url":null,"abstract":"Today’s maintenance and renewal planning in transformer stations of energy distribution networks is mainly based on expert knowledge, experience gained from historical data as well as the knowledge gathered from regular on-site inspections. This approach is already reaching its limits due to insufficient databases and almost no information about the stations’ condition being gathered between inspection intervals. A condition-based strategy that requires more maintenance for equipment with a high probability of failure is needed. Great potential is promised by intelligent sensor-based diagnostics, where objective comparability can be achieved by condition monitoring of the station fleet. Cost-effective micro-electromechanical (MEMS)-bases sensor systems promise to provide a suitable solution for network operators and enable a widespread use. In our paper, we present a MEMS-based sensor system, that can be used to gain information about network transparency, station safety as well as maintenance and renewal planning. Moreover, we propose an intelligent measurement scheme which adaptively selects relevant data and avoids unneeded redundancy (Smart Data instead of Big Data).","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9467026
M. Scholles
This contribution describes a medical monitoring system that enables early intervention in the event that the condition of a patient suffering from COVID-19 and other diseases suddenly starts to deteriorate. It will be a modular, multimodal and mobile system, and will be suitable for use in the treatment of COVID-19 patients. By facilitating the required intervention at an early stage, the system helps to lessen the effects of disease, shorten the duration of therapy and make flexible use of intensive care wards.
{"title":"Smart System for Early Detection of Severe COVID-19 Cases","authors":"M. Scholles","doi":"10.1109/SSI52265.2021.9467026","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9467026","url":null,"abstract":"This contribution describes a medical monitoring system that enables early intervention in the event that the condition of a patient suffering from COVID-19 and other diseases suddenly starts to deteriorate. It will be a modular, multimodal and mobile system, and will be suitable for use in the treatment of COVID-19 patients. By facilitating the required intervention at an early stage, the system helps to lessen the effects of disease, shorten the duration of therapy and make flexible use of intensive care wards.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132048911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9467009
A. Imbruglia, F. Gennaro, Livio Baldi
This paper looks at practical examples of how electronic components and systems can help achieve climate neutrality. After analyzing the main causes of energy consumption in power conversion, smart grid and intelligent charging station applications, we will discuss how new technologies such as wide-bandgap (WBG) materials can be used to reduce global warming and improve energy efficiency and environmental sustainability.
{"title":"Electronic Component System to Achieve Climate Neutrality","authors":"A. Imbruglia, F. Gennaro, Livio Baldi","doi":"10.1109/SSI52265.2021.9467009","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9467009","url":null,"abstract":"This paper looks at practical examples of how electronic components and systems can help achieve climate neutrality. After analyzing the main causes of energy consumption in power conversion, smart grid and intelligent charging station applications, we will discuss how new technologies such as wide-bandgap (WBG) materials can be used to reduce global warming and improve energy efficiency and environmental sustainability.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115172720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9467010
D. Petrov, Konstantin Kroschewski, U. Hilleringmann
In Industry 4.0 ambience and product surveillance requests a flexible embedded solution with modular microcontroller firmware for use in a mobile sensor system. The approach of modular firmware design, presented here addresses energy consumption reduction, flexibility for use in different kind of scenarios, optimized interaction with Radio Frequency Identification (RFID) and Bluetooth Low Energy (BLE) radio hardware as well as in-system evaluation of measurement data.
{"title":"Microcontroller Firmware Design for Industrial Wireless Sensors","authors":"D. Petrov, Konstantin Kroschewski, U. Hilleringmann","doi":"10.1109/SSI52265.2021.9467010","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9467010","url":null,"abstract":"In Industry 4.0 ambience and product surveillance requests a flexible embedded solution with modular microcontroller firmware for use in a mobile sensor system. The approach of modular firmware design, presented here addresses energy consumption reduction, flexibility for use in different kind of scenarios, optimized interaction with Radio Frequency Identification (RFID) and Bluetooth Low Energy (BLE) radio hardware as well as in-system evaluation of measurement data.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"274 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114014336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9466999
Fabian Aumer, Torsten Hinz
A variable signal generation and data readout board for miniaturized biochemical and chemical sensors for application in environmental monitoring, agri-food or biomedical applications is presented. The PSoC 5LP-based board is able to deliver DC as well as AC voltage or current of up to 62.5 kHz to a maximum of 8 different sensing fields as well as read back the resulting data and processing it on-board. A sensible use therefore is Electrical Impedance Spectroscopy (EIS). The data received from EIS carries a lot more information about the sensor surface or interaction with the surroundings compared to DC resistance measurements found in literature. Through the frequency-dependent response of the system one receives a much more detailed description of the sensor-analyte-interaction. This enables the use of more complex biological or chemical sensors as well as mixed sensors arrays. The system is evaluated using a gas sensor featuring an array of 8 sensor fields with different μ-dispensed functionalities and following algorithm-assisted data evaluation which can later be integrated on chip level.
{"title":"Electrical Impedance Spectroscopy on 8-channel PSoC-Based Miniaturized Board to Enable Data-Rich Environmental Sensing","authors":"Fabian Aumer, Torsten Hinz","doi":"10.1109/SSI52265.2021.9466999","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9466999","url":null,"abstract":"A variable signal generation and data readout board for miniaturized biochemical and chemical sensors for application in environmental monitoring, agri-food or biomedical applications is presented. The PSoC 5LP-based board is able to deliver DC as well as AC voltage or current of up to 62.5 kHz to a maximum of 8 different sensing fields as well as read back the resulting data and processing it on-board. A sensible use therefore is Electrical Impedance Spectroscopy (EIS). The data received from EIS carries a lot more information about the sensor surface or interaction with the surroundings compared to DC resistance measurements found in literature. Through the frequency-dependent response of the system one receives a much more detailed description of the sensor-analyte-interaction. This enables the use of more complex biological or chemical sensors as well as mixed sensors arrays. The system is evaluated using a gas sensor featuring an array of 8 sensor fields with different μ-dispensed functionalities and following algorithm-assisted data evaluation which can later be integrated on chip level.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123973220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9466974
S. Kurth, S. Voigt, R. Zichner, F. Roscher, Perez Weigel, T. Großmann
A monitoring system to early detect adverse plant crowing conditions is developed as a first attempt, and laboratory samples are available. The hardware part of the system consists of a wireless sensor network to gather and transfer the data, a data gateway to collect data and bring it to the internet and a central server running an expert system. For practical use, the sensors are fabricated from materials that are biodegradable or inert with a minimum amount of metal and ceramic and allow for remaining them on the field when harvesting. The sensors detect temperature, soil moisture and, in the near future the leaf wetness and nitrate. Single-chip controllers which include radio communication interfaces are used on printed circuit boards made partly of conventional PCB material and of biodegradable substrate printing of the wiring and of the communication antennas. A biodegradable zinc-manganese dioxide battery was applied for powering of the sensor nodes. The advance of the new forecast system is that the sensors are cheap and degradable which make it possible to monitor micro-climate on an even significantly higher dense scale at lower effort and low price by the professionals. This allows for site-specific treatment, and thus makes it possible to lower the plant protection agents application even more within the field scale.
{"title":"Technologies for biodegradable wireless plant monitoring sensors","authors":"S. Kurth, S. Voigt, R. Zichner, F. Roscher, Perez Weigel, T. Großmann","doi":"10.1109/SSI52265.2021.9466974","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9466974","url":null,"abstract":"A monitoring system to early detect adverse plant crowing conditions is developed as a first attempt, and laboratory samples are available. The hardware part of the system consists of a wireless sensor network to gather and transfer the data, a data gateway to collect data and bring it to the internet and a central server running an expert system. For practical use, the sensors are fabricated from materials that are biodegradable or inert with a minimum amount of metal and ceramic and allow for remaining them on the field when harvesting. The sensors detect temperature, soil moisture and, in the near future the leaf wetness and nitrate. Single-chip controllers which include radio communication interfaces are used on printed circuit boards made partly of conventional PCB material and of biodegradable substrate printing of the wiring and of the communication antennas. A biodegradable zinc-manganese dioxide battery was applied for powering of the sensor nodes. The advance of the new forecast system is that the sensors are cheap and degradable which make it possible to monitor micro-climate on an even significantly higher dense scale at lower effort and low price by the professionals. This allows for site-specific treatment, and thus makes it possible to lower the plant protection agents application even more within the field scale.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122026194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9466997
Antoine Laurin, V. Heiries, M. Montaru
This paper proposes an online method to estimate the State-of-Charge (SoC) and State-of-Health (SoH) of a Li-ion battery for the More Electrical Aircraft (MEA) application. Based on an extended characterization of Li-ion cells, precise electrical and ageing models are established and used in the state estimation method. The SoC algorithm is based on a Sigma-Point Kalman Filter (SPKF) that handles the non-linearity of the electrical model. The results show stable SoC and SoH estimation precisions, respectively less than 1% and 2% for most of the temperature and ageing conditions. The algorithm is built to meet the requirements of the MEA in terms of robustness, reliability, precision, hardware integration and low maintenance.
{"title":"State-of-Charge and State-of-Health online estimation of Li-ion battery for the More Electrical Aircraft based on semi-empirical ageing model and Sigma-Point Kalman Filtering","authors":"Antoine Laurin, V. Heiries, M. Montaru","doi":"10.1109/SSI52265.2021.9466997","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9466997","url":null,"abstract":"This paper proposes an online method to estimate the State-of-Charge (SoC) and State-of-Health (SoH) of a Li-ion battery for the More Electrical Aircraft (MEA) application. Based on an extended characterization of Li-ion cells, precise electrical and ageing models are established and used in the state estimation method. The SoC algorithm is based on a Sigma-Point Kalman Filter (SPKF) that handles the non-linearity of the electrical model. The results show stable SoC and SoH estimation precisions, respectively less than 1% and 2% for most of the temperature and ageing conditions. The algorithm is built to meet the requirements of the MEA in terms of robustness, reliability, precision, hardware integration and low maintenance.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126675521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9467030
Dimitrios Bakoyiannis, Othon Tomoutzoglou, Georgios Kornaros, M. Coppola
In the era of smart factories, to embrace IoT devices attached to physical assets, we need to guarantee control and complete confidence in how the data they share are used. This work introduces hardware mechanisms to ensure security in terms of secure key and signature storage through RFID/NFC secure modules and an IoT infrastructure communicating over LoRaWAN in conjunction with Hyperledger Fabric for traceability and immutability. A practical implementation is presented and evaluated with an average throughput of more than 70 transactions/sec for 16 peers.
{"title":"From Hardware-Software Contracts to Industrial IoT-Cloud Block-chains for Security","authors":"Dimitrios Bakoyiannis, Othon Tomoutzoglou, Georgios Kornaros, M. Coppola","doi":"10.1109/SSI52265.2021.9467030","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9467030","url":null,"abstract":"In the era of smart factories, to embrace IoT devices attached to physical assets, we need to guarantee control and complete confidence in how the data they share are used. This work introduces hardware mechanisms to ensure security in terms of secure key and signature storage through RFID/NFC secure modules and an IoT infrastructure communicating over LoRaWAN in conjunction with Hyperledger Fabric for traceability and immutability. A practical implementation is presented and evaluated with an average throughput of more than 70 transactions/sec for 16 peers.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"30 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129450988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9466984
D. Estrada-Wiese, M. Dolcet, R. Soriano, J. Santander, M. Salleras, L. Fonseca, Jose-Manuel Sojo, Á. Morata, A. Tarancón
Environmental energy harvesting to power Internet of Things (IoT) systems can be achieved through thermoelectric microgenerators (μTEGs) potentially eliminating the need for batteries or extending their operational life. μTEGs are good candidates due to their scalability and their adaptability to different thermal gradients and energy densities. However, the commonly used thermoelectric materials with good thermoelectric properties (e.g. Bi2Te3) are not compatible with down-sizing the generators to the microscale by using MEMS technology. Conversely, materials traditionally used in microelectronics (e.g. Si) have poor thermoelectric performance limiting the efficiency of thermal- to- electrical conversion due to their high thermal conductivity. The key to deal with these issues lies on silicon micromachining and nanostructuring yielding to a significant thermal conductivity reduction of the functional silicon material (nanostructuring) and the improved thermal management of the silicon-based device (micromachining). After having worked with the architectural development of the unitary μ-thermocouple, this work reports on an improved compact design of series connected silicon-based μ-thermocouples to enhance the generated power. Each thermocouple features a planar architecture with a suspended microplatform surrounded by a bulk Si rim. Bottom-up silicon nanowires are integrated as the thermoelectric active material which captures a fraction of the internally available temperature difference turning the heat flow into electricity and hence into useful power. A thin film layer of W closes the thermoelectric circuit in a uni-leg configuration. In order to multiply the output, the improved design consists of 10 μ-thermocouples arranged in series in an area of 50 mm2. For the purpose of this work, each thermocouple can be measured individually. They harvest about 3 nW when the heat source available is at 125°C. These values are low as expected for microdevices into which a heat exchanger is not integrated, the resulting bad thermal contact to the ambient avoiding an effective cooling by natural convection. In any case, the generated power is increased when connecting electrically the different μ-thermocouples in series reaching power densities of 60 nW/cm2. The fabricated all-silicon based microgenerator provides a promising energy harvester for advanced IoT systems operating in low-grade waste heat environments.
{"title":"Improved design of an all-Si based thermoelectric microgenerator","authors":"D. Estrada-Wiese, M. Dolcet, R. Soriano, J. Santander, M. Salleras, L. Fonseca, Jose-Manuel Sojo, Á. Morata, A. Tarancón","doi":"10.1109/SSI52265.2021.9466984","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9466984","url":null,"abstract":"Environmental energy harvesting to power Internet of Things (IoT) systems can be achieved through thermoelectric microgenerators (μTEGs) potentially eliminating the need for batteries or extending their operational life. μTEGs are good candidates due to their scalability and their adaptability to different thermal gradients and energy densities. However, the commonly used thermoelectric materials with good thermoelectric properties (e.g. Bi2Te3) are not compatible with down-sizing the generators to the microscale by using MEMS technology. Conversely, materials traditionally used in microelectronics (e.g. Si) have poor thermoelectric performance limiting the efficiency of thermal- to- electrical conversion due to their high thermal conductivity. The key to deal with these issues lies on silicon micromachining and nanostructuring yielding to a significant thermal conductivity reduction of the functional silicon material (nanostructuring) and the improved thermal management of the silicon-based device (micromachining). After having worked with the architectural development of the unitary μ-thermocouple, this work reports on an improved compact design of series connected silicon-based μ-thermocouples to enhance the generated power. Each thermocouple features a planar architecture with a suspended microplatform surrounded by a bulk Si rim. Bottom-up silicon nanowires are integrated as the thermoelectric active material which captures a fraction of the internally available temperature difference turning the heat flow into electricity and hence into useful power. A thin film layer of W closes the thermoelectric circuit in a uni-leg configuration. In order to multiply the output, the improved design consists of 10 μ-thermocouples arranged in series in an area of 50 mm2. For the purpose of this work, each thermocouple can be measured individually. They harvest about 3 nW when the heat source available is at 125°C. These values are low as expected for microdevices into which a heat exchanger is not integrated, the resulting bad thermal contact to the ambient avoiding an effective cooling by natural convection. In any case, the generated power is increased when connecting electrically the different μ-thermocouples in series reaching power densities of 60 nW/cm2. The fabricated all-silicon based microgenerator provides a promising energy harvester for advanced IoT systems operating in low-grade waste heat environments.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129535114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-27DOI: 10.1109/SSI52265.2021.9466958
Sven Lange, C. Hedayat, H. Kuhn, U. Hilleringmann
In this publication, further elements of the newly developed inductive localization in the near field are presented. The advantage of inductive localization is the usage of the magnetic fields, which have a very low influence of non-metallic materials in the environment and thus follows good applications in the area of medicine and biochemistry. This allows a precise localization of sensor platforms in inhomogeneous mixtures of materials, where classical methods have major problems with inhomogeneous dielectric conductivity or density. The calculation of the localization of the searched object differs from other methods such as ultrasound or electromagnetic waves due to the source-free propagation of the magnetic field. Therefore, new mathematical evaluation methods and systematic adaptations are necessary, which are presented in this paper in circuit analysis. For this purpose, the exact circuit influences of one coil and the influence of another coil are investigated and which resonance circuit should be selected for both coils for a inductive localization with optimized signal strength.
{"title":"Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field","authors":"Sven Lange, C. Hedayat, H. Kuhn, U. Hilleringmann","doi":"10.1109/SSI52265.2021.9466958","DOIUrl":"https://doi.org/10.1109/SSI52265.2021.9466958","url":null,"abstract":"In this publication, further elements of the newly developed inductive localization in the near field are presented. The advantage of inductive localization is the usage of the magnetic fields, which have a very low influence of non-metallic materials in the environment and thus follows good applications in the area of medicine and biochemistry. This allows a precise localization of sensor platforms in inhomogeneous mixtures of materials, where classical methods have major problems with inhomogeneous dielectric conductivity or density. The calculation of the localization of the searched object differs from other methods such as ultrasound or electromagnetic waves due to the source-free propagation of the magnetic field. Therefore, new mathematical evaluation methods and systematic adaptations are necessary, which are presented in this paper in circuit analysis. For this purpose, the exact circuit influences of one coil and the influence of another coil are investigated and which resonance circuit should be selected for both coils for a inductive localization with optimized signal strength.","PeriodicalId":382081,"journal":{"name":"2021 Smart Systems Integration (SSI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114460928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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