APPLICATION OF BAYESIAN INTELLIGENT TECHNOLOGIES AND INTELLIGENT IIoT (IIIoT) IN THE MANAGEMENT OF CYBERPHYSICAL SYSTEMS UNDER CONDITIONS OF UNCERTAINTY

2021 ◽  
Vol 1 (5) ◽  
pp. 38-54
Author(s):  
Svetlana V. Prokopchina ◽  
Keyword(s):  
Data Science ◽  
Measurement Methods ◽  
Management Decision ◽  
Measuring Instruments ◽  
Cyberphysical Systems ◽  
Measurement Systems ◽  
Industrial Internet ◽  
Intelligent Measurement ◽  
Structures And Properties ◽  
Processing Information

The effectiveness of the functioning of cyberphysical systems is based primarily on the use of powerful methods of obtaining and processing information. The complexity of the structures and properties of cybernetic systems, as well as the conditions of their functioning, determine special requirements for measurement methods and computing, performed in such systems. As a rule, the uncertainty of CPS models, as well as the uncertainty of the influence of environmental factors and their interrelations with the properties of systems, primarily define the requirements for the intellectualization of measurements and computational processing of information. In this article, methods and tools of Bayesian intelligent measurements (BII) are proposed to ensure the effectiveness of management of cyberphysical systems under conditions of uncertainty. The concept and methodology of creating an intelligent industrial Internet of Things (IIoT) is proposed, the distinctive feature of which is the intellectualization of measurement methods and data preprocessing. For this purpose, IIoT includes an intelligent DATALAKE, which is built on the basis of a Bayesian intelligent measurement systems that implements not only measurement and data integration functions, but also management decision support. Examples of real cyberphysical systems with control based on Bayesian intelligent measuring instruments are given. The prospects of using the proposed solutions based on BII in various modern technologies based on the principles of BIG DATA, DATA SCIENCE, neural networks, IIoT, DATA MINING and others are considered.

Cross Calibration by FFT Equalization

1997 ◽  
Vol 119 (2) ◽  
pp. 236-242 ◽  
Author(s):  
K. Peleg
Keyword(s):  
Measurement Method ◽  
Functional Relationship ◽  
Measurement Methods ◽  
New Method ◽  
Measurement Systems ◽  
True Value ◽  
Calibration Problem ◽  
Regression Techniques ◽  
The Cross ◽  
Cross Calibration

The classical calibration problem is primarily concerned with comparing an approximate measurement method with a very precise one. Frequently, both measurement methods are very noisy, so we cannot regard either method as giving the true value of the quantity being measured. Sometimes, it is desired to replace a destructive or slow measurement method, by a noninvasive, faster or less expensive one. The simplest solution is to cross calibrate one measurement method in terms of the other. The common practice is to use regression models, as cross calibration formulas. However, such models do not attempt to discriminate between the clutter and the true functional relationship between the cross calibrated measurement methods. A new approach is proposed, based on minimizing the sum of squares of the differences between the absolute values of the Fast Fourier Transform (FFT) series, derived from the readings of the cross calibrated measurement methods. The line taken is illustrated by cross calibration examples of simulated linear and nonlinear measurement systems, with various levels of additive noise, wherein the new method is compared to the classical regression techniques. It is shown, that the new method can discover better the true functional relationship between two measurement systems, which is occluded by the noise.

Methods of temperature measurement in microwave heating technologies

2021 ◽  
pp. 20-28
Author(s):  
Boris A. Lapshinov
Keyword(s):  
Temperature Measurement ◽  
Microwave Heating ◽  
Microwave Radiation ◽  
Electromagnetic Fields ◽  
Optical Measurement ◽  
Measurement Methods ◽  
Heating Systems ◽  
Measurement Systems ◽  
Processed Material ◽  
Spectral Pyrometry

In industrial technological processes associated with the heating of the processed material by microwave radiation, it is necessary to measure the temperatures of objects. Methods for measuring temperatures in the fields of technology using microwave heating systems are considered. The main possibilities, disadvantages and limitations of the used contact and non-contact (optical) measurement methods are determined. The requirements for temperature measurement systems under conditions of exposure to strong electromagnetic fields are listed. The possibilities of the spectral pyrometry method are especially noted.

The Cyber-Physical Disruption

2020 ◽  
pp. 25-56
Author(s):  
Laura DeNardis
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Smart Cities ◽  
Physical World ◽  
The Body ◽  
Cyberphysical Systems ◽  
Medical Monitoring ◽  
Everyday Objects ◽  
Industrial Internet ◽  
Technological Affordances

This chapter examines four emerging areas of technological innovation in which digital technologies are becoming embedded into the physical world. The digitization of everyday objects includes consumer Internet of things and connected objects in smart cities. The Internet of self encompasses cyberphysical systems entangled with the body, such as wearable technologies, implantable chips, biometric identification devices, and digital medical monitoring and delivery systems. The industrial Internet of things, sometimes called the “fourth industrial revolution,” involves restructurings of industries and labor around cyber-physical systems. Finally, emergent embedded systems include those embedded objects that are born digital, such as robotics, 3D printing, and arguably augmented reality systems. Understanding these heterogeneous technical architectures, and the technological affordances and characteristics they all share, is necessary for understanding emerging governance debates.

Nanomechanical Measurement Methods on the Basis of MEMS

2014 ◽  
Vol 651-653 ◽  
pp. 465-471
Author(s):  
Feng Luo ◽  
Liang Zhang ◽  
Zhi Kai Zhang
Keyword(s):  
Numerical Simulation ◽  
Finite Element Analysis ◽  
Microelectromechanical Systems ◽  
Test System ◽  
Measurement Methods ◽  
Test Results ◽  
Performance Parameters ◽  
Sensors And Actuators ◽  
Element Analysis ◽  
Measurement Systems

Recently microelectromechanical systems (MEMS) have found increasingly more applications in measurement technique in form of sensors and actuators. Here a report on the development and test of nanomechanical measurement methods and systems on the basis of MEMS will be delivered. A nanoforce actuator, a nanotensile test system which are all realized in the form of MEMS are in the focus. Design and numerical simulation of the nanoforce actuator with the help of finite element analysis (FEA) are detailed . In the article the principle of these measurement systems, the design, the manufacture and the assembly of the MEMS as well as first test results and achieved performance parameters are described.

Inspection Technology for F-Theta Lens: Practices and Discussions

2007 ◽  
Vol 364-366 ◽  
pp. 1191-1196 ◽  
Author(s):  
Hua Li ◽  
Suet To ◽  
Ling Bao Kong ◽  
Chi Fai Cheung ◽  
Wing Bun Lee
Keyword(s):  
Measurement Methods ◽  
Freeform Surface ◽  
Measurement Technology ◽  
Measuring Instruments ◽  
Freeform Surfaces ◽  
Existing Problems ◽  
Laser Scanners ◽  
Pros And Cons ◽  
Lens Surface

This paper presents the inspection technology for a freeform surface component which is named F-theta lens. F-theta lens is widely used in laser scanners, printers, etc. Freeform characterization is one of the main approaches to verify the manufacturing precision of freeform surface. At present, there is still a lack of techniques for the characterization of freeform surfaces. This study aimed to explore some approaches to inspect freeform surfaces. Two types of measurement methods, namely contact and non-contact measurement methods, are employed to measure the F-theta lens surface. The pros and cons, the existing problems, different applications and areas for improvement of the two methods are discussed. A series of advanced measuring instruments are used in the measurement process. A brief description of measurement mechanisms of these instruments is also presented. As a whole, this paper contributes to the development of the precision measurement technology for optical freeform surfaces.

scholarly journals Ontology-driven approach for describing industrial socio-cyberphysical systems’ components

2018 ◽  
Vol 161 ◽  
pp. 03027 ◽  
Author(s):  
Nikolay Teslya ◽  
Igor Ryabchikov
Keyword(s):  
Internet Of Things ◽  
Business Processes ◽  
Raw Materials ◽  
Cyberphysical Systems ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Ontological Approach ◽  
Exchange Information ◽  
Upper Level ◽  
Main Components

Nowadays, the concept of the industrial Internet of things is considered by researchers as the basis of Industry 4.0. Its use is aimed at creating a single information space that allows to unite all the components of production, starting from the processed raw materials to the interaction with suppliers and users of completed goods. Such a union will allow to change the established business processes of production to increase the customization of end products for the consumer and to reduce the costs for its producers. Each of the components is described using a digital twin, showing their main characteristics, important for production. The heterogeneity of these characteristics for each of the production levels makes it very difficult to exchange information between them. To solve the problem of interaction between individual components this paper proposes to use the ontological approach to model the components of industrial socio-cyberphysical systems. The paper considers four scenarios of interaction in the industrial Internet of things, based on which the upper-level ontology is formed, which describes the main components of industrial socio-cyberphysical systems and the connections between them.

scholarly journals APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 293-300
Author(s):  
H. Li ◽  
W. Huang ◽  
Z. Zha ◽  
J. Yang
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Resource Sharing ◽  
Data Science ◽  
Geographic Information ◽  
Management Decision ◽  
Functional Requirements ◽  
Comprehensive Service ◽  
Data Platform ◽  
The Impact

Abstract. With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualization, social perception and smart city, geospatial big data services for government decision-making support four aspects. Based on the connotation and extension of geospatial big data, this paper comprehensively defines geospatial big data comprehensively. The application of geospatial big data in location visualization, industrial thematic geographic information comprehensive service and geographic data science and knowledge service is introduced in detail. Furthermore, the key technologies and design indicators of the National Geospatial Big Data Platform are elaborated from the perspectives of infrastructure, functional requirements and non-functional requirements, and the design and application of the National Geospatial Public Service Big Data Platform are illustrated. The challenges and opportunities of geospatial big data are discussed from the perspectives of open resource sharing, management decision support and data security. Finally, the development trend and direction of geospatial big data are summarized and prospected, so as to build a high-quality geospatial big data platform and play a greater role in social public application services and administrative management decision-making.

scholarly journals The Potassium Cycle and Its Relationship to Recommendation Development

2020 ◽  
pp. 1-46
Author(s):  
Sylvie M. Brouder ◽  
Jeffrey J. Volenec ◽  
T. Scott Murrell
Keyword(s):  
Data Science ◽  
Field Studies ◽  
Field Trials ◽  
Management Decision ◽  
Evidence Based ◽  
Mechanistic Models ◽  
Plant Soil ◽  
Management Decision Making ◽  
Soil Pool ◽  
Novel Targets

AbstractNutrient recommendation frameworks are underpinned by scientific understanding of how nutrients cycle within timespans relevant to management decision-making. A trusted potassium (K) recommendation is comprehensive enough in its components to represent important differences in biophysical and socioeconomic contexts but simple and transparent enough for logical, practical use. Here we examine a novel six soil-pool representation of the K cycle and explore the extent to which existing recommendation frameworks represent key plant, soil, input, and loss pools and the flux processes among these pools. Past limitations identified include inconsistent use of terminology, misperceptions of the universal importance and broad application of a single soil testing diagnostic, and insufficient correlation/calibration research to robustly characterize the probability and magnitude of crop response to fertilizer additions across agroecozones. Important opportunities to advance K fertility science range from developing a better understanding of the mode of action of diagnostics through use in multivariate field trials to the use of mechanistic models and systematic reviews to rigorously synthesize disparate field studies and identify knowledge gaps and/or novel targets for diagnostic development. Finally, advancing evidence-based K management requires better use of legacy and newly collected data and harnessing emerging data science tools and e-infrastructure to expand global collaborations and accelerate innovation.

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