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“…The delays above a threshold value in transmission of patient data are unacceptable and lead to disrupting the telemonitoring cycle of cyber physical systems affecting timely medication and care to the patients. Also, it is significant in real time applications like healthcare that the fault latency which is a measure of time delay between the occurrence of fault and its recognition must be a small value so that its timely management could enhance the reliability of the system [ 23 ].…”
Section: Challenges In Smart City Healthcare Cyber Physical Systemmentioning
The recent pandemic has demanded a strong and smart healthcare system which can monitor the patients efficiently and handle the situation that arises from the outbreak of the disease. Smart healthcare cyber physical systems are the future systems as they integrate the physical and cyber world for efficient functioning of medical processes and treatment through external monitoring and control of patients, medical devices and equipment for continuous communication and information exchange of physiological data. Technologies like Internet of Things, Machine learning and Artificial Intelligence have given birth to smart cyber physical systems like Smart Healthcare Systems, Smart Homes, Smart Vehicular Systems and Smart Grid. Such systems are interdisciplinary in nature with multitude of technologies contributing to its effective working. This paper presents a case study on healthcare cyber physical systems presenting its characteristics, role of various technologies in its growth and major challenges in successful implementation of cyber physical medication systems.
“…The delays above a threshold value in transmission of patient data are unacceptable and lead to disrupting the telemonitoring cycle of cyber physical systems affecting timely medication and care to the patients. Also, it is significant in real time applications like healthcare that the fault latency which is a measure of time delay between the occurrence of fault and its recognition must be a small value so that its timely management could enhance the reliability of the system [ 23 ].…”
Section: Challenges In Smart City Healthcare Cyber Physical Systemmentioning
The recent pandemic has demanded a strong and smart healthcare system which can monitor the patients efficiently and handle the situation that arises from the outbreak of the disease. Smart healthcare cyber physical systems are the future systems as they integrate the physical and cyber world for efficient functioning of medical processes and treatment through external monitoring and control of patients, medical devices and equipment for continuous communication and information exchange of physiological data. Technologies like Internet of Things, Machine learning and Artificial Intelligence have given birth to smart cyber physical systems like Smart Healthcare Systems, Smart Homes, Smart Vehicular Systems and Smart Grid. Such systems are interdisciplinary in nature with multitude of technologies contributing to its effective working. This paper presents a case study on healthcare cyber physical systems presenting its characteristics, role of various technologies in its growth and major challenges in successful implementation of cyber physical medication systems.
“…Stephen G.MacDonell (Auckland University of Technology, Auckland, New Zealand) [12] also dealt with similar issues.…”
Section: Review Of the Literaturementioning
confidence: 99%
“…In [12], methods for detecting and diagnosing malfunctions used in the field of control in the aerospace, automotive and industrial fields are described. Each of these sectors uses specific techniques to meet different diagnostic needs.…”
Context. In the modern world, information management systems have become widespread. This make it possible to automate the technological processes of enterprises of various sizes. Many information management systems include wireless and autonomous elements. Autonomy, in this case, means the ability of the system elements to function for a certain time without additional energy supply. In this regard, such a parameter of operational reliability as the battery life of a system element becomes one of the most important. One of the main tools for improving the reliability and fault tolerance of information management system elements – is the use of a modern diagnostic system.
Objective. The aim of the work is to develop a method for increasing the reliability of the functioning of autonomous elements of information management systems. It includes the creation of a model of an information management system and an algorithm for reasonable redistribution of diagnostic functions, as well as a software implementation of the developed algorithm, which confirms its higher reliability indicators in comparison with other algorithms.
Methods. The basic model was the Preparata-Metz-Chen model. On its basis, a new model of the system was built, including the structural and logical description of the elements and the determination of the way of their interaction. The elements were classified by the degree of criticality of the functions performed in the system. On the basis of the developed model and description of the elements, an algorithm was developed for the reasonable redistribution of the diagnostic load, which made it possible to reduce the average energy consumption of the elements and thereby improve the reliability indicators. A software implementation of the developed algorithm was created, which allows to numerically evaluate its advantages. The developed and existing algorithms were compared.
Results. A model of information management system has been developed. In such a system, it is proposed to use an integrated test diagnostics system. This diagnostic system implements algorithms for redistributing the diagnostic load. To determine the importance of the characteristics taken into account, a linear criterion was chosen, as the most studied and fastest in application. A software model, that implements the developed algorithm and makes it possible to compare it with existing algorithms, has been developed. A study of the software model with various parameters was carried out and, based on the results of the software simulation, conclusions were drawn about the possibilities of improving the algorithm and directions for further scientific research were formulated.
Conclusions. The usage of the developed algorithm makes it possible to increase such a characteristic of the reliability of the elements of the information and control system as the mean time of failure-free operation (mean time between failures) by increasing the operating time of autonomous elements without recharging. When carrying out software modeling of the developed and existing algorithms, the advantages of the first were confirmed, and theoretical possibilities for its improvement were formulated.
“…Monitoring as one technique to identify faults at runtime for industrial systems is also listed in a survey [12]. The work in [13] shows an example where complex communication protocols (called channels) originally specified in a language called SystemJ [14] were adopted and implemented in IEC 61499.…”
Today's software developments are frequently structured into different components with well defined interfaces. IEC 61499 comes with well defined interface mechanisms such as adapters that group data and event exchange between different subsystems. Compliance with interface specifications can be monitored at run-time. In this paper we present a design pattern to monitor adapters thereby observing whether communication specifications are fulfilled. We present an example demonstrating monitoring of a handshaking mechanism used between control application components.
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