Enabling the multiple use of condition monitoring devices for real-time monitoring, real-time data logging and remote condition monitoring

Author(s):  
E.P.C. Morris ◽  
G. Feng ◽  
G.D. Horler
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.


Real time data logging of different parameters of Air jet looms should be implemented to reduce the time-consuming method in the textile manufacturing industry. Implementation area of this system is a reduction of efforts and errors done by workers in the textile looms. Existing system is not able to give real time data required by the user at the required time. This system actually keeps record of different stoppages that leads to break the continuity of the machine and hence reduces the machine efficiency. This is a real time system in which wireless communication is used to transfer the recorded data to user’s computer. This recorded detail in turn is transmitted to the PC of the user to do further computation of wages of the worker and manage their work efficiency. This is a real time system in which wireless communication is used to transfer the recorded data to user’s computer as well as on mobile phone. This will provide an additional facility of monitoring the working condition of machine whether it is proper or not and thus user can also keep watch on the workers.


2020 ◽  
Vol 18 (3) ◽  
pp. 57-77
Author(s):  
Wing-Kwong Wong ◽  
Kai-Ping Chen ◽  
Jia-Wei Lin

The results of PISA 2015 indicate that Taiwanese students have excellent mathematical and scientific knowledge but are weak in applying such knowledge and in conducting practical experiments in the laboratory. To support students conducting practical experiments in physics laboratories, a real-time data logging system and an online tool for fitting experimental data were developed. During data logging in an experiment, the data was immediately plotted, which enabled students to observe the characteristics of the plot. The online curve fitting system, which employed Internet of Things technologies, allowed students to fit experimental data to various mathematical functions and plot a function curve superimposed on the data. Two empirical studies were conducted involving first-year university students and secondary school teachers. The results indicated that these developed tools improved students' understanding of an experiment's mathematical characteristics. The average curve fitting error rates of students and teachers were 4.62% and 1.4%, respectively.


Author(s):  
Bengang Bao ◽  
Xiangping Zhu ◽  
Yonghong Tan

<p class="keywords"><span lang="EN-US">Due to having a direct affect for the growth of crops, the monitor and modification for the indicators of Greenhouse environment play significant roles in improving the yield of crops. The system, which adopts FPGA technology to control and modify the air condition and lighting system by collecting and analyzing the data of the temperature and humidity, has achieved good effects in practice. In our study, the key technology of real-time data acquisition system based on FPGA is proposed. In particular, based on FPGA, the designed ADC0809 and asynchronous FIFO can save the data in real time, which can be analyzed and disposed timely, so that the environment can be corrected in time.</span></p>


2014 ◽  
Vol 595 ◽  
pp. 175-179
Author(s):  
Chuan Wei Zhang ◽  
Ming Yu Wang

The monitoring information of the coal mine trackless rubber tyre electric vehicle is analyzed and researched. The hardware and software of real-time data monitoring system electric vehicle is designed based on the TMS320F2812 DSP chip and LCD module MS12864. The coal mine trackless rubber tyre electric vehicle real-time data monitoring is achieved.


2014 ◽  
Vol 1079-1080 ◽  
pp. 847-850
Author(s):  
De Zhi Bian ◽  
Jing Tao Li

Based on industry, agriculture and rail transit to the data in real-time monitoring tasks, this paper proposes a new cloudmonitoring method, it mainly studies the real-time data presentation.This article uses the graphical component of Highcharts and the dataextraction technology of JQuery, it can present efficient real-time data to managers, it can also make managers learn quickly the shape of the data and the possibility of adverse conditions.


2015 ◽  
Vol 9 (1) ◽  
pp. 166-169 ◽  
Author(s):  
Gao Lili ◽  
Xu Kebao ◽  
Luan Zhaoxue

A multi-parameter monitoring system has been designed for mechanical and electric equipment based on DSP and CPLD. Designing methods for hardware and software are introduced in this paper. As in the system, powerful capability for numeric operation of DSP is used to deal with real-time data, while CPLD is held responsible for logic control. Therefore, by combining DSP and CPLD, malfunction can be observed and alarming signal can be provided in due time.


The main aim of this paper is to deal with remote monitoring of various physical parameters of an electrical device via web-based application. This system facilitate user to monitor the real-time data from across the globe as the whole data is made available through pre-designed website. Real-time monitoring of electrical parameters is needed beside the high performance and precision of measurements with the development of modern industry towards networking. The main objectives of paper are to access the real-time data on global scale, to reduce the cost of visit & maintenance and finally to improve quality as well as throughput of production. All the physical parameters of an electronic device such as temperature, current, gas flow, viscosity etc. will be monitor independently. Microcontroller is used for the interconnection of all sensors and all collected information will be send to the web page using GSM facility. This real-time monitoring system definitely offers user for hassle free data accession. For high precision, repeatability of real-time data monitoring system has been done. This concept is helpful in industrial sectors for real time monitoring.


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