227:. Smart sensors measure these activities in the physical environment and translate this into a digital environment. Therefore, every step within the process becomes digitally traceable. Whenever a mistake is made somewhere in a production process, this can be tracked down using these digital traces. As a result, it will be easier to track down inefficiencies within a production process and simplify process innovations, because one can easier analyze what part of the production process is inefficient. Due to the fact that all the information is digitized, the company is exposed to
272:. For smart sensors, physical transport is not necessary, since smart sensors are usually wireless. Yet charging wires and sockets are still commonly used. The service layer is about the service that is provided by the smart sensor. The sensors are able to process the data themselves. Therefore, there is not one specific service of the sensors because they process multiple things simultaneously. They can for example signal that certain assets need to be repaired. The content layer would be the centralised platforms, that are created and used to gain insights and create value.
322:, in which data exchanging and automation play a crucial role. Traditionally, machines were already able to automate certain small tasks (e.g. open/close valves). Automation in smart factories go beyond these easy tasks. It increasingly includes complex optimization decisions that humans typically make. For machines to be able to make human decisions, it is imperative to get detailed information, and that’s were smart sensors come in.
203:. It gives feedback of the physical environment, process, or substance in a measurable way, and signals or indicates when change in this environment occurs. Traditional sensors in a network of sensors can be divided in three parts: one, the sensors; two, a centralized interface where the data is collected and processed; and three, an infrastructure that connects the network, like plugs, sockets and wires.
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310:. Data monetization is the act of exchanging information-based products and services for legal tender or something of perceived equivalent value. In other words, data monetization is exploiting opportunities to generate new revenues. Another form of data monetization, which insurers regularly use nowadays, is selling data to third parties.
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performance issue, the smart factory can even solve the problem itself. Smart sensors can predict defects as well, so rather than fixing a problem afterwards, maintenance workers can prevent it. This all leads to outstanding asset efficiency and reduces downtime, which is the enemy of every production process.
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help insurance companies to get much more detailed information. Wearables can for example monitor heart-related metrics, location-based systems like security technologies, or smart thermostats can generate important data of your house. They can use this information to improve risk assessment and risk
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The last couple of years, the automotive industry has been challenging their ‘old’ ecosystems. Several new technologies like smart sensors play a crucial role in this process. Nowadays, these sensors only enable some small autonomous features like automatic parking services, obstacle detection and
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The term layered modular architecture is a combination between the modular architecture of the physical components of a product with the layered architecture of the digital system. There is a contents layer, a service layer, a network layer ((1) logical transmission, (2) physical transport), and a
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For manufacturing, efficiency is one of the most important aspects. Smart sensors pull data from assets to which they are connected and process the data continuously. They can provide detailed real-time information about the plant and process and reveal performance issues. If this is just a small
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Traditionally, insurance companies tried to assess the risk of their clients by looking over their application form, trust their answers and then simply cover it with a monthly premium. However, due to asymmetric information, it was difficult to accurately determine risk of a certain client. The
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to the classical sensor/actuator, which increases the ability to cope with complexity at a fair price. Typically, these on-board technologies in smart sensors are used for digital processing, either frequency-to-code or analog-to-digital conversations, interfacing functions and calculations.
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embedded in the smart sensors already process the data. Therefore, less data has to be transmitted and the data can immediately be used and accessed on different devices. The switch to smart sensors entails that the tight coupling between transmission and processing technologies is removed.
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Smart sensors generate data of the car and their surroundings, connect them into a car network, and translate this into valuable information which allows the car to see and interpret the world. Basically, the sensor works as follows. It has to pull physical and environmental data, use that
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However, smart sensors in the automotive industry can also be used in a more sustaining way. Car manufacturers place smart sensors in different parts of the car, which collects and shares information. Drivers and manufacturers can use this information to transform from scheduled to
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Interfacing functions include decision-making tools like self-adaption, self-diagnostics, and self-identification functions, but also the ability to control how long and when the sensor will be fully awake, to minimize power consumption and to decide when to dump and store data.
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device layer ((1) logical capability, (2) physical machinery). Starting at the device layer, the smart sensor itself is the physical machinery, measuring its physical environment. The logical capacity refers to operating systems, which can be
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Smart sensors can also be applied beyond the factory. For example sensors on objects like vehicles or shipping containers can give detailed information about delivery status. This affects both manufacturing and the whole supply chain.
359:, but the risk is that they do not see new entrants coming and have difficulties to adapt. Therefore, making a distinction between a disruptive and sustaining innovation is important and brings different implications to managers.
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Additionally, if clients agree upon providing this data of sensors in their homes, they can even get a discount on their premium. This approach of trading information in return for special deals is called
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Klenner, Philipp; Hüsig, Stefan; Dowling, Michael (May 2013). "Ex-ante evaluation of disruptive susceptibility in established value networks—When are markets ready for disruptive innovations?".
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Kelly, Sean Dieter Tebje; Suryadevara, Nagender Kumar; Mukhopadhyay, Subhas
Chandra (October 2013). "Towards the Implementation of IoT for Environmental Condition Monitoring in Homes".
160:. Within such a network, multiple physical vehicles and devices are embedded with sensors, software and electronics. Data will be collected and shared for better integration between
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Sheu, Meng-Lieh; Hsu, Wei-Hung; Tsao, Lin-Jie (2012). "A Capacitance-Ratio-Modulated
Current Front-End Circuit with Pulsewidth Modulation Output for a Capacitive Sensor Interface".
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Yoo, Youngjin; Henfridsson, Ola; Lyytinen, Kalle (December 2010). "Research
Commentary—The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research".
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information for calculations, analyze the outcomes and translate it into action. Sensors in other cars have to be connected into the car network and communicate with each other.
343:, complete disruption of the industry has not yet been reached. Yet, experts expect that autonomous cars without any human interference will dominate the roads in 10 years.
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introduction of smart sensors in the insurance industry is disrupting the traditional practice in multiple ways. Smart sensors generate a large amount of
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As sensors and actuators become more complex, they provide support for various modes of operation and interfacing. Some applications require additionally
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Wixom, B.H. (2014). Cashing in on your Data. Center for
Information Systems Research, Sloan School of Management, Cambridge, MA: Massachusetts
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field, a single compact unit that combines the imaging functions and the complete image processing functions is often called a smart sensor.
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devices leading to lower cost. They may provide full digital outputs for easier interface or they may provide quasi-digital outputs like
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emergency braking, which improves security. Although a lot of companies are focused on technologies that improve cars and work towards
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that is used to run the platform on. At the network layer, the logical transmission can consist of various transmission methods;
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and the physical world. The connectivity between sensors is an important requirement for an IoT innovation to perform well.
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Spencer, B. F.; Ruiz-Sandoval, Manuel E.; Kurata, Narito (2004). "Smart sensing technology: opportunities and challenges".
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Burke, R., Mussomeli, A., Laaper, S., Hartigan, M., and
Sniderman, B (2017). The smart factory, Deloitte University Press
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Bishnu, Abhijeet; Bhatia, Vimal (2018). "Receiver for IEEE 802.11ah in
Interference Limited Environments".
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The key features of smart sensors as part of the IoT that differentiate them from traditional sensors are:
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Woerner, Stephanie L; Wixom, Barbara H (2015-01-20). "Big data: extending the business strategy toolbox".
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The traditional sensor collects information about an object or a situation and translates it into an
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Deloitte. (2018). Using smart sensors to drive supply chain innovation
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and affects the business models of insurance companies as follows.
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combined with a processing unit and a communication interface.
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Sundmaeker, Harald; Guillemin, Patrick; Friess, Peter (2010).
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Within a digital environment, actions or activities leave a
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Vision and challenges for realising the
Internet of Things
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Smart sensors are a crucial element in the phenomenon
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295:wearables
281:Insurance
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