scholarly journals DESIGN IMPLEMENTATION ANDON FOR PRODUCTION MONITORING SYSTEM BASED ON INTERNET OF THINGS

2022 ◽  
Vol 8 (12) ◽  
pp. 69-79
Author(s):  
Gun Gun Maulana ◽  
Aris Budiyarto ◽  
Ridwan
Keyword(s):  
Real Time ◽  
Pressure Control ◽  
Wind Pressure ◽  
Web Interface ◽  
System Monitoring ◽  
A Value ◽  
Monitoring Process ◽  
Long Time ◽  
System Output ◽  
Production Value

Each production requires a system monitoring, so efficiency that the desired and productivity can be achieved and monitored in real time. This system is needed in the type of press machine production which is mainly influenced by based production lead time. The monitoring process is one of the factors that influences the time of production and manufacturing. Conventionally, the system is monitoring carried out manually by the operator on a piece of paper. This method tends to create errors and quite a long time. This paper aims to overcome the problems that occur by creating a system that is able to record and monitor the machine automatically. The solution is made by utilizing a sensor limit switch, infrared, pressure transmitter and Wi-Fi network based on Web Interface that is connected to the Firebase real time database. Equipped with PID control using the Ziegler Nichols 1 method to stabilize wind pressure on the system. Monitoring devices can be accessed on PCs, laptops, smartphones, connected to the internet, equipped with user-level operators, management, or engineers so that they can be used easily. All production data for each press is collected in a database. The data will be processed by the system to produce a value OEE machine. All data will be displayed on the Web Interface in real-time. The system output is the actual production, value OEE and wind pressure control. The test results show the system is running well, with 2s delay time and data accuracy of ± 0.2%.

scholarly journals An Adaptive RBF-NMPC Architecture for Trajectory Tracking Control of Underwater Vehicles

Machines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 105
Author(s):  
Zhenzhong Chu ◽  
Da Wang ◽  
Fei Meng
Keyword(s):  
Model Predictive Control ◽  
Prediction Model ◽  
Real Time ◽  
Predictive Control ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Working Environment ◽  
Gray Wolf ◽  
Trajectory Tracking Control ◽  
System Output

An adaptive control algorithm based on the RBF neural network (RBFNN) and nonlinear model predictive control (NMPC) is discussed for underwater vehicle trajectory tracking control. Firstly, in the off-line phase, the improved adaptive Levenberg–Marquardt-error surface compensation (IALM-ESC) algorithm is used to establish the RBFNN prediction model. In the real-time control phase, using the characteristic that the system output will change with the external environment interference, the network parameters are adjusted by using the error between the system output and the network prediction output to adapt to the complex and uncertain working environment. This provides an accurate and real-time prediction model for model predictive control (MPC). For optimization, an improved adaptive gray wolf optimization (AGWO) algorithm is proposed to obtain the trajectory tracking control law. Finally, the tracking control performance of the proposed algorithm is verified by simulation. The simulation results show that the proposed RBF-NMPC can not only achieve the same level of real-time performance as the linear model predictive control (LMPC) but also has a superior anti-interference ability. Compared with LMPC, the tracking performance of RBF-NMPC is improved by at least 43% and 25% in the case of no interference and interference, respectively.

Real-Time Micro-Fluidic Chip Pressure Control System Base on the Optical Interference

2014 ◽  
Vol 494-495 ◽  
pp. 1274-1277
Author(s):  
Kan Liu ◽  
Hao You
Keyword(s):  
Control System ◽  
Real Time ◽  
Measurement System ◽  
Interference Fringe ◽  
Pressure Control ◽  
Measured Data ◽  
Optical Interference ◽  
Interference Fringes ◽  
Pressure Control System

This article introduces a measurement system based on LabVIEW used for optical interference fringe on micro-fluidic chips. This system mainly uses cameras to capture real-time images of wedge interference fringe on micro-fluidic chips, then the collected images will be binarized by LabVIEW. The processed images will be divided by zone , determine the flatness and gap thickness of the micro-fluidic chips by interference fringes with different directions of deflection and numbers. Finally, feedback from measured data will be used to adjust the flatness and gap thickness of micro-fluidic chips in order to meet the requirement of tests.

scholarly journals Complex Event Processing for Sensor Stream Data

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3084 ◽  
Author(s):  
Kyoungsoo Bok ◽  
Daeyun Kim ◽  
Jaesoo Yoo
Keyword(s):  
Real Time ◽  
Complex Event Processing ◽  
Superior Performance ◽  
Event Processing ◽  
Stream Data ◽  
Internet Of Things Environment ◽  
Processing Cost ◽  
Single Operator ◽  
Long Time ◽  
The Cost

As a large amount of stream data are generated through sensors over the Internet of Things environment, studies on complex event processing have been conducted to detect information required by users or specific applications in real time. A complex event is made by combining primitive events through a number of operators. However, the existing complex event-processing methods take a long time because they do not consider similarity and redundancy of operators. In this paper, we propose a new complex event-processing method considering similar and redundant operations for stream data from sensors in real time. In the proposed method, a similar operation in common events is converted into a virtual operator, and redundant operations on the same events are converted into a single operator. The event query tree for complex event detection is reconstructed using the converted operators. Through this method, the cost of comparison and inspection of similar and redundant operations is reduced, thereby decreasing the overall processing cost. To prove the superior performance of the proposed method, its performance is evaluated in comparison with existing methods.

Super-Fine Structure in the Critical Flow-Rate of Critical Flow Venturi Nozzles

2002 ◽  
Author(s):  
Masahiro Ishibashi
Keyword(s):  
Fine Structure ◽  
Steady State ◽  
Discharge Coefficient ◽  
Constant Pressure ◽  
Pressure Ratio ◽  
Critical Flow ◽  
Time Intervals ◽  
Critical Flow Rate ◽  
A Value ◽  
Long Time

It is shown that critical flow Venturi nozzles need time intervals, i.e., more than five hours, to achieve steady state conditions. During these intervals, the discharge coefficient varies gradually to reach a value inherent to the pressure ratio applied. When a nozzle is suddenly put in the critical condition, its discharge coefficient is trapped at a certain value then afterwards approaches gradually to the inherent value. Primary calibrations are considered to have measured the trapped discharge coefficient, whereas nozzles in applications, where a constant pressure ratio is applied for a long time, have a discharge coefficient inherent to the pressure ratio; inherent and trapped coefficients can differ by 0.03–0.04%.

Online Monitoring System for Stand-Alone Photovoltaic Applications—Analysis of System Performance From Monitored Data

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
M. Torres ◽  
F. J. Muñoz ◽  
J. V. Muñoz ◽  
C. Rus
Keyword(s):  
Performance Analysis ◽  
Real Time ◽  
Monitoring System ◽  
Virtual Instrument ◽  
System Performance ◽  
Online Monitoring ◽  
Research Centre ◽  
Photovoltaic Systems ◽  
System Monitoring ◽  
Online Monitoring System

The Guidelines for the Assessment of Photovoltaic Plants provided by the Joint Research Centre (JRC) and the International Standard IEC 61724 recommend procedures for the analysis of monitored data to asses the overall performance of photovoltaic (PV) systems. However, the latter do not provide a well adapted method for the analysis of stand-alone photovoltaic systems (SAPV) with charge regulators without maximum power point tracker (MPPT). In this way, the IDEA Research Group has developed a new method that improves the analysis performance of these kinds of systems. Moreover, it has been validated an expression that compromises simplicity and accuracy when estimating the array potential in this kind of systems. SAPV system monitoring and performance analysis from monitored data are of great interest to engineers both for detecting a system malfunction and for optimizing the design of future SAPV system. In this way, this paper introduces an online monitoring system in real time for SAPV applications where the monitored data are processed in order to provide an analysis of system performance. The latter, together with the monitored data, are displayed on a graphical user interface using a virtual instrument (VI) developed in LABVIEW®. Furthermore, the collected and monitored data can be shown in a website where an external user can see the daily evolution of all monitored and derived parameters. At present, three different SAPV systems, installed in the Polytechnic School of University of Jaén, are being monitorized and the collected data are being published online in real time. Moreover, a performance analysis of these stand-alone photovoltaic systems considering both IEC 61724 and the IDEA Method is also offered. These three systems use the charge regulators more widespread in the market. Systems #1 and #2 use pulse width modulation (PWM) charge regulators, (a series and a shunt regulator, respectively), meanwhile System #3 has a charge regulator with MPPT. This website provides a tool that can be used not only for educational purposes in order to illustrate the operation of this kind of systems but it can also show the scientific and engineering community the main features of the system performance analysis methods mentioned above. Furthermore, it allows an external user to download the monitored and analysis data to make its own offline analysis. These files comply with the format proposed in the standard IEC 61724. The SAPV system monitoring website is now available for public viewing on the University of Jaén. (http://voltio.ujaen.es/sfa/index.html).

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

scholarly journals PENGARUH GANGGUAN LINGKUNGAN ANTARIKSA PADA SISTEM ELEKTRONIK LAPAN-TUBSAT (EFFECT OF SPACE ENVIRONMENT DISTURBANCE IN LAPAN-TUBSAT SATELLITE)

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Nayla Najati
Keyword(s):  
Real Time ◽  
South Atlantic ◽  
Space Environment ◽  
Normal Operation ◽  
Single Event ◽  
South Atlantic Anomaly ◽  
Long Time ◽  
Latch Up

LAPAN-TUBSAT has been operated more than five years. During the operation, LAPAN-TUBSAT faces several anomaly. It could be observed by using real time telemetry and long time telemetry. When and where an anomaly appeared can be detected with long time telemetry. Anomaly event on LAPAN-TUBSAT’s PCDH is caused by Single Event Latch-Up (SEL) that happen in scale of weeks.These conditions required LAPAN-TUBSAT operators to take action in order to make LAPAN-TUBSAT back to normal operation. This paper describes statistic of SEL that occur in LAPAN-TUBSAT. Almost 70% of SEL event take place at South Atlantic Anomaly (SAA) and the rest at polar. Keywords: SEL, LAPAN-TUBSAT, Real time telemetry, Long time telemetry, PCDH

Real-Time EEG-Based Detection of Fatigue Driving Danger for Accident Prediction

2015 ◽  
Vol 25 (02) ◽  
pp. 1550002 ◽  
Author(s):  
Hong Wang ◽  
Chi Zhang ◽  
Tianwei Shi ◽  
Fuwang Wang ◽  
Shujun Ma
Keyword(s):  
Real Time ◽  
Detection System ◽  
Neural Mechanism ◽  
Processing Capacity ◽  
Driver Fatigue ◽  
Accident Prediction ◽  
Functional Brain Networks ◽  
Long Time ◽  
Danger Detection ◽  
Fatigue Driving

This paper proposes a real-time electroencephalogram (EEG)-based detection method of the potential danger during fatigue driving. To determine driver fatigue in real time, wavelet entropy with a sliding window and pulse coupled neural network (PCNN) were used to process the EEG signals in the visual area (the main information input route). To detect the fatigue danger, the neural mechanism of driver fatigue was analyzed. The functional brain networks were employed to track the fatigue impact on processing capacity of brain. The results show the overall functional connectivity of the subjects is weakened after long time driving tasks. The regularity is summarized as the fatigue convergence phenomenon. Based on the fatigue convergence phenomenon, we combined both the input and global synchronizations of brain together to calculate the residual amount of the information processing capacity of brain to obtain the dangerous points in real time. Finally, the danger detection system of the driver fatigue based on the neural mechanism was validated using accident EEG. The time distributions of the output danger points of the system have a good agreement with those of the real accident points.

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