On-line measurement data of wastewater systems via WAP mobile phones

2003 ◽  
Vol 47 (2) ◽  
pp. 205-211
Author(s):  
J. Alex ◽  
U. Jumar ◽  
M. Schütze
Keyword(s):  
Mobile Phones ◽  
Remote Monitoring ◽  
Measurement Data ◽  
Internet Technologies ◽  
Line Measurement ◽  
Spatially Distributed ◽  
Standard Application ◽  
Wastewater Systems ◽  
On Line ◽  
Plant Data

In order to support the operation of wastewater systems a system was developed which allows us to access plant data by standard mobile devices such as WAP mobile phones. This system is suited to complement the standard application of alarm and message systems based for example on SMS or pager services. This technology provides useful options for mobile remote monitoring and remote control of automated plants. This technology is particularly appropriate for the use in remote facilities where no staff is available. The technology has been implemented succesfully and shows how standard IT and Internet technologies can be utilised to support the operation of spatially distributed plants with reasonable effort. Two implementations are presented which access plant data via WAP mobile phones and via mobile pocket PCs. First application experiences are presented.

A New Method for On-line Measurement of the Straightness Error of Machine Tools Using an Acceleration Sensor

2021 ◽  
Author(s):  
Kuo Liu ◽  
Yiming Cui ◽  
Zhisong Liu ◽  
Jiakun Wu ◽  
Yongqing Wang
Keyword(s):  
Machine Tools ◽  
Signal To Noise Ratio ◽  
Measurement Data ◽  
Geometric Error ◽  
Ar Model ◽  
High Signal ◽  
Line Measurement ◽  
On Line ◽  
Straightness Error ◽  
Zero Phase

Abstract In order to improve the poor efficiency in the measurement of the geometric error of machine tools’ linear axes, this paper has presented a method to measure and restructure the geometric error of linear axes that is based on accelerometers. This method takes advantage of the phenomenon that when acceleration is measured under different measuring speeds, different frequencies and amplitudes are produced. The measurement data of the high signal-to-noise ratio for various velocities was fused together and the straightness error of the measured axis was obtained by integrating the acceleration twice. In order to remove the trend terms error in the integration, a zero phase IIR Butterworth filter was designed, which guarantees the signal’s phase invariance after filtering. The data was continued with the AR model to eliminate the endpoints’ effect in the filtering. The proposed method was verified by numerical values and experiments. The results showed that the proposed method has better robustness, a wider bandwidth and a higher efficiency than the methods of measuring by laser interferometer. It is also able to measure the geometric error of linear axes with an accuracy that reaches the micron scale.

scholarly journals Remote Monitoring of Joints Status on In-Service High-Voltage Overhead Lines

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1004 ◽  
Author(s):  
Carlo Olivieri ◽  
Francesco de Paulis ◽  
Antonio Orlandi ◽  
Giorgio Giannuzzi ◽  
Roberto Salvati ◽  
...  
Keyword(s):  
High Voltage ◽  
Transmission Lines ◽  
Remote Monitoring ◽  
Power Transmission ◽  
Measurement Data ◽  
Time Domain Reflectometry ◽  
Overhead Line ◽  
Voltage Transformer ◽  
Remote Monitoring System ◽  
On Line

This work presents the feasibility study of an on-line monitoring technique aimed to discover unwanted variations of longitudinal impedance along the line (also named “impedance discontinuities”) and, possibly, incipient faults typically occurring on high voltage power transmission lines, like those generated by oxidated midspan joints or bolted joints usually present on such lines. In this paper, the focus is placed on the application and proper customization of a technique based on the time-domain reflectometry (TDR) technique when applied to an in-service high-voltage overhead line. An extensive set of numerical simulations are provided in order to highlight the critical points of this particular application scenario, especially those that concern the modeling of both the TDR signal injection strategy and the required high-voltage coupling devices, and to plan a measurement activity. The modeling and simulation approach followed for the study of either the overhead line or the on-line TDR system is fully detailed, discussing three main strategies. Furthermore, some measurement data that were used to characterize the specific coupling device selected for this application at high frequency—that is, a capacitive voltage transformer (CVT)—are presented and discussed too. This work sets the basic concepts underlying the implementation of an on-line remote monitoring system based on reflectometric principles for in-service lines, showing how much impact is introduced by the high-voltage coupling strategy on the amplitude of the detected reflected voltage waves (also named “voltage echoes”).

Soot Concentration Remote Monitoring System Based on GPRS and CAN Bus

2012 ◽  
Vol 433-440 ◽  
pp. 6287-6292 ◽  
Author(s):  
Yan Jun Zhao ◽  
Cheng Yuan Bai ◽  
Bin Qu
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Can Bus ◽  
Measurement Data ◽  
Pollution Source ◽  
Scattering Method ◽  
Soot Concentration ◽  
Remote Monitoring System ◽  
Communication Technique ◽  
On Line

Along with the development of the computer and communication technique, the remote monitoring system is widely applied. The pollution source is distributed widely, so the pollution status is difficult to monitoring. The soot concentration remote monitoring system based on GPRS and CAN bus is introduced in the paper. The system adopts the transmission-scattering method to measure the soot concentration. The measurement data is collected by the MCU and sent to the management system through the CAN bus. The data is sent to the EPA through GPRS. The experiment result indicates that the remote monitoring system can on-line measures the soot concentration and improves the communication efficiency and accuracy.

Multiple Fault Diagnosis for Sheet Metal Fixtures Using Designated Component Analysis

2004 ◽  
Vol 126 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Jaime A. Camelio ◽  
S. Jack Hu
Keyword(s):  
Fault Diagnosis ◽  
Sheet Metal ◽  
Measurement Data ◽  
Component Analysis ◽  
New Approach ◽  
Multiple Fault ◽  
Sheet Metal Parts ◽  
Multiple Fault Diagnosis ◽  
Line Measurement ◽  
On Line

This paper presents a new approach to multiple fault diagnosis for sheet metal fixtures using designated component analysis (DCA). DCA first defines a set of patterns based on product/process information, then finds the significance of these patterns from the measurement data and maps them to a particular set of faults. Existing diagnostics methods has been mainly developed for rigid-body-based 3-2-1 locating scheme. Here an N-2-1 locating scheme is considered since sheet metal parts are compliant. The proposed methodology integrates on-line measurement data, part geometry, fixture layout and sensor layout in detecting simultaneous multiple fixture faults. A diagnosability discussion for the different type of faults is presented. Finally, an application of the proposed method is presented through a computer simulation.

scholarly journals Development of Composite Load Models of Power Systems using On-line Measurement Data

2006 ◽  
Vol 1 (2) ◽  
pp. 161-169 ◽  
Author(s):  
Byoung-Kon Choi ◽  
Hsiao Dong Chiang ◽  
Yinhong Li ◽  
Yung Tien Chen ◽  
Der Hua Huang ◽  
...  
Keyword(s):  
Power Systems ◽  
Measurement Data ◽  
Load Models ◽  
Line Measurement ◽  
On Line

Disturbance detection in wastewater treatment plants

1998 ◽  
Vol 37 (12) ◽  
pp. 197-205 ◽  
Author(s):  
C. Rosen ◽  
G. Olsson
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Measurement Data ◽  
Fault Detection And Diagnosis ◽  
Sensor Technology ◽  
Adequate Information ◽  
Line Measurement ◽  
On Line ◽  
Detection And Diagnosis ◽  
Disturbance Detection

The development in sensor technology has made many wastewater treatment systems data rich but not necessarily information rich. To extract the adequate information from several sensors is not trivial, and it is not sufficient to consider only the time series. Different tools for detecting unusual on-line measurement data and deviating process behaviour are discussed. In this paper various dimension reduction as well as advanced filtering methods are considered in order to extract adequate information for fault detection and diagnosis. Both the operator and the process engineer can take advantage of such methods for proper monitoring of the plant, in particular extreme events and their causes.

Development of composite load models of power systems using on-line measurement data

2006 ◽  
Author(s):  
Byoung-Kon Choi ◽  
Hsiao-Dong Chiang ◽  
Yinhong Li ◽  
Yung-Tien Chen ◽  
Der-Hua Huang ◽  
...  
Keyword(s):  
Power Systems ◽  
Measurement Data ◽  
Load Models ◽  
Line Measurement ◽  
On Line

Thickness Measurement in the AEM by Macintosh-Based Analysis of Two-Beam Convergent Beam Patterns

1990 ◽  
Vol 48 (2) ◽  
pp. 504-505
Author(s):  
John F. Mansfield ◽  
Douglas C. Crawford
Keyword(s):  
Electron Microscope ◽  
Video Camera ◽  
Thickness Measurement ◽  
Specimen Thickness ◽  
Crystalline Materials ◽  
Beam Dynamic ◽  
Line Measurement ◽  
On Line ◽  
Image Position ◽  
Convergent Beam

A method has been developed that allows on-line measurement of the thickness of crystalline materials in the analytical electron microscope. Two-beam convergent beam electron diffraction (CBED) patterns are digitized from a JEOL 2000FX electron microscope into an Apple Macintosh II microcomputer via a Gatan #673 CCD Video Camera and an Imaging Systems Technology Video 1000 frame-capture board. It is necessary to know the lattice parameters of the sample since measurements are made of the spacing of the diffraction discs in order to calibrate the pattern. The sample thickness is calculated from measurements of the spacings of the fringes that are seen in the diffraction discs. This technique was pioneered by Kelly et al, who used the two-beam dynamic theory of MacGillavry relate the deviation parameter (Si) of the ith fringe from the exact Bragg condition to the specimen thickness (t) with the equation:Where ξg, is the extinction distance for that reflection and ni is an integer.

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