Design for reliability of generic sensor interface circuits

Heinssen, Sascha; Hillebrand, Theodor; Taddiken, Maike; Tscherkaschin, Konstantin; Paul, Steffen; Peters-Drolshagen, Dagmar

doi:10.1016/j.microrel.2017.11.029

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…The sensor interface unit connects to sensor devices [18]. It can collect data from them and then transmit the data on the LoRaWAN network after processing [24],  meter interface unit: a finished product which consists of three central units: a standard meter connector or a standard communication interface, a processing unit and a LoRaWAN [18]. The meter interface unit can be connected to consumption meters and can collect data from them and then transmit them on the LoRaWAN network after processing,  tracker: a finished product which consists of three central units: a locating unit, a processing unit and a LoRaWAN module [18].…”

Section: Grouping Of Certified Lorawan Products By Functionalitymentioning

confidence: 99%

Challenges of LoRaWAN technology in smart city solutions

Borsos¹,

Lajos²

2022

Interdisciplinary Description of Complex Systems

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A number of technological application factors can be highlighted in smart city solutions, where small data and long-range transmission are of primary consideration. These include monitoring energy consumption, operating a smart waste management system, monitoring, and tracking traffic, having smart parking systems, monitoring public lighting, and even detecting various malfunctions. Such smart city systems use IoT technology for data collection. An essential aspect of urban solutions is to ensure the coverage of large areas, both outdoors and indoors, low energy consumption, as well as modularity and mobility. LPWAN technologies can meet these conditions. LPWAN technologies include LTE-M, NB-IoT, LoRaWAN, and Sigfox. Using LoRaWAN technology can be the right solution for these cases. As with any application, it is crucial to clarify the challenges of the application with LoRaWAN. The present study addresses the categorization of LoRaWAN devices and the challenges of technology in smart city solutions. LoRaWAN products used in smart city solutions can be grouped according to several aspects. This article deals with the creation of classifications that facilitate further testing. Smart city application challenge studies are applied to the specified categories. The challenges of the solutions cover several areas. These include technological aspects, aspects of specifications, and aspects of the nature of the application. Another area represents the information security aspects, which is, however, not addressed by this invention. Based on these aspects, the article describes the challenges of LoRaWAN technology in smart cities.

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Section: Grouping Of Certified Lorawan Products By Functionalitymentioning

confidence: 99%

Challenges of LoRaWAN technology in smart city solutions

Borsos¹,

Lajos²

2022

Interdisciplinary Description of Complex Systems

View full text Add to dashboard Cite

show abstract

“…For example, two elements work perfectly, when they are jointed, an element impresses others and make instability in its work by Electromagnetic interference (EMI) and electromagnetic compatibility (EMC) effects. Thus, compatibility and interface control is very important for reliability engineering and physical based model and finite element methods are very effective to better understand and control incompatibility among different types of hardware [79][80][81]. Compatibility between mechanical elements is usually covered by design for assembly scheme.…”

Section: Interfaces and Compatibilitymentioning

confidence: 99%

Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

Farsi

Zio

2019

Int J Reliabl Risk Safe Theory App

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According to the development of Industry 4.0 and increase the integration of digital, physical and human worlds, reliability engineering must evolve for addressing the existing and future challenges about that. In this paper, the principle of Industry 4.0 is presented and some of these challenges and opportunities for reliability engineering are discussed. New directions for research in system modeling, big data analysis, health management, cyber-physical system, human-machine interaction, uncertainty, jointly optimization, communication, and interfaces are proposed. Each topic can be investigated individually, but this paper summarizes them and prepared a vision about reliability engineering for consideration and discussion by the interested scientific community.

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“…Therefore, before signal acquisition, a signal conditioning circuit is required to amplify and filter the signal. The interface circuit further processes the electrical signal to produce an output consistent with the use of a measurement or control system [ 15 , 16 , 17 ]. In the end, the output electrical signal becomes a digital signal after analog-to-digital, and the control system resolves the state of the measured amount from the digital signal and views it through the communication or uses it directly for regulation.…”

Section: Introductionmentioning

confidence: 99%

Application of Intelligent Medical Sensing Technology

Gao

2023

Biosensors

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With the popularization of intelligent sensing and the improvement of modern medical technology, intelligent medical sensing technology has emerged as the times require. This technology combines basic disciplines such as physics, mathematics, and materials with modern technologies such as semiconductors, integrated circuits, and artificial intelligence, and has become one of the most promising in the medical field. The core of intelligent medical sensor technology is to make existing medical sensors intelligent, portable, and wearable with full consideration of ergonomics and sensor power consumption issues in order to conform to the current trends in cloud medicine, personalized medicine, and health monitoring. With the development of automation and intelligence in measurement and control systems, it is required that sensors have high accuracy, reliability, and stability, as well as certain data processing capabilities, self-checking, self-calibration, and self-compensation, while traditional medical sensors cannot meet such requirements. In addition, to manufacture high-performance sensors, it is also difficult to improve the material process alone, and it is necessary to combine computer technology with sensor technology to make up for its performance shortcomings. Intelligent medical sensing technology combines medical sensors with microprocessors to produce powerful intelligent medical sensors. Based on the original sensor functions, intelligent medical sensors also have functions such as self-compensation, self-calibration, self-diagnosis, numerical processing, two-way communication, information storage, and digital output. This review focuses on the application of intelligent medical sensing technology in biomedical sensing detection from three aspects: physical sensor, chemical sensor, and biosensor.

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Design for reliability of generic sensor interface circuits

Cited by 6 publications

References 16 publications

Challenges of LoRaWAN technology in smart city solutions

Challenges of LoRaWAN technology in smart city solutions

Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

Application of Intelligent Medical Sensing Technology

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