scholarly journals Universal programmable portable measurement device for diagnostics and monitoring of hydraulic and pneumatic equipment

2021 ◽  
Vol 2131 (5) ◽  
pp. 052060
Author(s):  
R Dindorf ◽  
P Wos
Keyword(s):  
Internet Of Things ◽  
Remote Monitoring ◽  
Online Monitoring ◽  
Measurement Data ◽  
Measuring Device ◽  
Linear Speed ◽  
Graphical Visualization ◽  
Transfer Measurement ◽  
Shaft Power ◽  
Pneumatic Equipment

Abstract The paper presents a new universal programmable portable measuring device (PMD) intended for the diagnostic and monitoring of hydraulic and pneumatic equipment. PMD offers a simple, complete, and efficient remote monitoring and diagnostic solution for hydraulic and pneumatic equipment. PMD is designed for measurement, recording, and processing of data as well as graphical visualization of registered results on a test stand or in the operating site of hydraulic and pneumatic equipment. PMD is designed to measure parameters used in servicing, repairing, monitoring, and diagnosing hydraulic and pneumatic equipment. Usually, fluidic characteristic quantities (pressure, flow rate, temperature), mechanical quantities (position, linear speed, rotational speed, force, torque, shaft power), and electrical quantities (voltage, current, power) is measured. PMD with WiFi communication is adopted to transfer measurement data via the Industry Internet of Things (IIoT) technology to remote online monitoring and diagnostic hydraulic and pneumatic equipment. Sensors, controllers, and other devices are connected to the computing gateway via their respective protocols.

scholarly journals Experimental Study on Grinding Force of Zirconia Ceramics in Dry/Wet Grinding Environment

2018 ◽  
Vol 198 ◽  
pp. 02004
Author(s):  
Junping Zhang ◽  
Weidong Wang ◽  
Songhua Li ◽  
Han Tao
Keyword(s):  
Grinding Force ◽  
Grinding Wheel ◽  
Feed Speed ◽  
Zirconia Ceramics ◽  
Grinding Forces ◽  
Measuring Device ◽  
Linear Speed ◽  
Wet Grinding ◽  
Dry Grinding ◽  
Force Ratio

The impacts of different linear speed of grinding wheel, grinding depth and workpiece feed speed with or without grinding fluid on grinding force were studied by plane grinding machining of zirconia ceramics. The impacts of different machining environment and grinding parameter on normal and tangential grinding forceswere studied by testing the grinding force during grinding with a force measuring device. The studies showed that the normal and tangential grinding forces decrease with the increase of the linear speed of grinding wheel and increase with the improvement of grinding depth and workpiece feed speed. The grinding depth has the greatest impacts on the normal and tangential grinding forces in dry grinding environment; while in wet grinding environment, the grinding depth exerts the greatest impacts on the normal grinding force and the linear speed of grinding wheel imposes the greatest impacts on the tangential grinding force. In addition, it was found that the normal grinding force in dry grinding is minor than that in wet grinding, that the tangential grinding force in dry grinding is greater than that in wet grinding, and that the grinding force ratio in dry grinding is lower than that in wet grinding.

scholarly journals Internet of Things Based Smart Greenhouse: Remote Monitoring and Automatic Control

2019 ◽  
Author(s):  
Mohammad Woli Ullah ◽  
Mohammad Golam Mortuza ◽  
Md Humayun Kabir ◽  
Zia Uddin Ahmed ◽  
Sovan Kumar Dey Supta ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Automatic Control ◽  
Remote Monitoring

scholarly journals Dynamic torque calibration by means of model parameter identification

ACTA IMEKO ◽  
2015 ◽  
Vol 4 (2) ◽  
pp. 39 ◽  
Author(s):  
Leonard Klaus ◽  
Barbora Arendacká ◽  
Michael Kobusch ◽  
Thomas Bruns
Keyword(s):  
Frequency Response ◽  
Dynamic Behaviour ◽  
Measurement Data ◽  
Model Parameters ◽  
Dynamic Calibration ◽  
Extended Model ◽  
Unknown Parameters ◽  
Measuring Device ◽  
Torque Transducer ◽  
Least Squares Approach

For the dynamic calibration of torque transducers, a model of the transducer and an extended model of the mounted transducer including the measuring device have been developed. The dynamic behaviour of a torque transducer under test is going to be described by its model parameters. This paper describes the models with these known and unknown parameters and how the calibration measurements are going to be carried out. The principle for the identification of the transducer's model parameters from measurement data is described using a least squares approach. The influence of a variation of the transducer's parameters on the frequency response of the expanded model is analysed.

Internet of Things

2018 ◽  
pp. 73-95
Author(s):  
Varsha Sharma ◽  
Vivek Sharma ◽  
Nishchol Mishra
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Remote Monitoring ◽  
Daily Life ◽  
Scientific Research ◽  
The Internet ◽  
Use Of Resources ◽  
Bright Future ◽  
Physical Objects ◽  
The Internet Of Things

Recently, Internet of Things (IoT) has aroused great interest among the educational, scientific research, and industrial communities. Researchers affirm that IoT environments will make people's daily life easier and will lead to superior services, great savings as well as a nifty use of resources. Consequently, IoT merchandise and services will grow exponentially in the upcoming years. The basic idea of IoT is to connect physical objects to the Internet and use that connection to provide some kind of useful remote monitoring or control of those objects. The chapter presents the overall IoT vision, the technologies for achieving it, IoT challenges and its applications. This chapter also attempts to describe and analyze threat types for privacy, security and trust in IoT as well as shows how big data is an important factor in IoT. This chapter will expose the readers and researchers who are interested in exploring and implementing the IoT and related technologies to the progress towards the bright future of the Internet of Things

Promoting Better Healthcare for Patients in Critical Condition

2019 ◽  
pp. 97-117
Author(s):  
Itamir Barroca ◽  
Gibeon Aquino ◽  
Maria Alzete Lima
Keyword(s):  
Chronic Disease ◽  
Internet Of Things ◽  
Remote Monitoring ◽  
Critical Condition ◽  
Healthcare Services ◽  
The Internet ◽  
New Paradigm ◽  
Underdeveloped Countries ◽  
Global Concern ◽  
The Internet Of Things

The high cost of healthcare services, the aging population and the increase of chronic disease is becoming a global concern. Several studies have indicated the need to minimize the process of hospitalization and the high cost of patient care. A promising trend in healthcare is to move the routines of medical checks from a hospital to the patient's home. Moreover, recent advances in microelectronics have boosted the advent of a revolutionary model involving systems and communication technology. This new paradigm, the Internet of Things (IoT), has a broad applicability in several areas, including healthcare. Based on this context, this chapter aims to describe a computer platform based on IoT for the remote monitoring of patients in critical condition. Furthermore, it is planned to approach the current advances and challenges of conceiving and developing a set of technology-centric, targeting issues relevant to underdeveloped countries, particularly in regards to Brazil's health infrastructure.

Blockchain-Enabled Internet of Things for Unsupervised Structural Health Monitoring in Potential Building Structures

2021 ◽  
pp. 158-170
Author(s):  
Wael Mohammad Alenazy
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Structural Health Monitoring ◽  
Internet Of Things ◽  
Health Monitoring ◽  
Remote Monitoring ◽  
Building Structures ◽  
Stress Strain ◽  
Structural Health ◽  
Automated Decision Making

The integration of internet of things, artificial intelligence, and blockchain enabled the monitoring of structural health with unattended and automated means. Remote monitoring mandates intelligent automated decision-making capability, which is still absent in present solutions. The proposed solution in this chapter contemplates the architecture of smart sensors, customized for individual structures, to regulate the monitoring of structural health through stress, strain, and bolted joints looseness. Long range sensors are deployed for transmitting the messages a longer distance than existing techniques. From the simulated results, different sensors record the monitoring information and transmit to the blockchain platform in terms of pressure points, temperature, pre-tension force, and the architecture deems the criticality of transactions. Blockchain platform will also be responsible for storage and accessibility of information from a decentralized medium, automation, and security.

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