The Research and Realization of Capacitive Current on Line Measurement Based on DSP

2012 ◽  
Vol 195-196 ◽  
pp. 195-199
Author(s):  
Jian Wen Wang ◽  
Zheng Feng Wang ◽  
Peng Li
Keyword(s):  
Measurement Error ◽  
Real Time ◽  
Measurement Methods ◽  
Current Measurement ◽  
Capacitive Current ◽  
Line Measurement ◽  
On Line ◽  
Capacitance Current ◽  
Signal Method

In the paper, it proceeds in-depth research and analysis to the existing capacitance current measurement methods, and the infuse signal method is chosen to achieve capacitance current accurate measurement on this basis. The method has the advantage of measurement error small, real-time good and safe reliable.

scholarly journals Estimation of Secondary Soil Properties by Fusion of Laboratory and On-Line Measured Vis–NIR Spectra

2019 ◽  
Vol 11 (23) ◽  
pp. 2819 ◽  
Author(s):  
Muhammad Abdul Munnaf ◽  
Said Nawar ◽  
Abdul Mounem Mouazen
Keyword(s):  
Soil Properties ◽  
Real Time ◽  
Measurement Accuracy ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Spectral Response ◽  
Nir Spectroscopy ◽  
Accurate Estimation ◽  
Line Measurement ◽  
On Line

Visible and near infrared (vis–NIR) diffuse reflectance spectroscopy has made invaluable contributions to the accurate estimation of soil properties having direct and indirect spectral responses in NIR spectroscopy with measurements made in laboratory, in situ or using on-line (while the sensor is moving) platforms. Measurement accuracies vary with measurement type, for example, accuracy is higher for laboratory than on-line modes. On-line measurement accuracy deteriorates further for secondary (having indirect spectral response) soil properties. Therefore, the aim of this study is to improve on-line measurement accuracy of secondary properties by fusion of laboratory and on-line scanned spectra. Six arable fields were scanned using an on-line sensing platform coupled with a vis–NIR spectrophotometer (CompactSpec by Tec5 Technology for spectroscopy, Germany), with a spectral range of 305–1700 nm. A total of 138 soil samples were collected and used to develop five calibration models: (i) standard, using 100 laboratory scanned samples; (ii) hybrid-1, using 75 laboratory and 25 on-line samples; (iii) hybrid-2, using 50 laboratory and 50 on-line samples; (iv) hybrid-3, using 25 laboratory and 75 on-line samples, and (v) real-time using 100 on-line samples. Partial least squares regression (PLSR) models were developed for soil pH, available potassium (K), magnesium (Mg), calcium (Ca), and sodium (Na) and quality of models were validated using an independent prediction dataset (38 samples). Validation results showed that the standard models with laboratory scanned spectra provided poor to moderate accuracy for on-line prediction, and the hybrid-3 and real-time models provided the best prediction results, although hybrid-2 model with 50% on-line spectra provided equally good results for all properties except for pH and Na. These results suggest that either the real-time model with exclusively on-line spectra or the hybrid model with fusion up to 50% (except for pH and Na) and 75% on-line scanned spectra allows significant improvement of on-line prediction accuracy for secondary soil properties using vis–NIR spectroscopy.

A real-time on-line measurement of iodine flow rate based on absorption spectroscopy

2009 ◽  
Vol 138 (2) ◽  
pp. 428-431 ◽  
Author(s):  
Guofu Li ◽  
Haiyun Yu ◽  
Liping Duo ◽  
Jian Wang ◽  
Yuqi Jin ◽  
...  
Keyword(s):  
Real Time ◽  
Absorption Spectroscopy ◽  
Flow Rate ◽  
Line Measurement ◽  
On Line

scholarly journals Biosensors for On-Line Measurement of Reproductive Hormones and Milk Proteins to Improve Dairy Herd Management

2001 ◽  
Author(s):  
Michael Delwiche ◽  
Boaz Zion ◽  
Robert BonDurant ◽  
Judith Rishpon ◽  
Ephraim Maltz ◽  
...  
Keyword(s):  
Real Time ◽  
Reproductive Hormones ◽  
Injection System ◽  
Sampling Device ◽  
Electrode Coating ◽  
Test Volume ◽  
Screen Printed Electrodes ◽  
Line Measurement ◽  
On Line ◽  
Screen Printed

The original objectives of this research project were to: (1) develop immunoassays, photometric sensors, and electrochemical sensors for real-time measurement of progesterone and estradiol in milk, (2) develop biosensors for measurement of caseins in milk, and (3) integrate and adapt these sensor technologies to create an automated electronic sensing system for operation in dairy parlors during milking. The overall direction of research was not changed, although the work was expanded to include other milk components such as urea and lactose. A second generation biosensor for on-line measurement of bovine progesterone was designed and tested. Anti-progesterone antibody was coated on small disks of nitrocellulose membrane, which were inserted in the reaction chamber prior to testing, and a real-time assay was developed. The biosensor was designed using micropumps and valves under computer control, and assayed fluid volumes on the order of 1 ml. An automated sampler was designed to draw a test volume of milk from the long milk tube using a 4-way pinch valve. The system could execute a measurement cycle in about 10 min. Progesterone could be measured at concentrations low enough to distinguish luteal-phase from follicular-phase cows. The potential of the sensor to detect actual ovulatory events was compared with standard methods of estrus detection, including human observation and an activity monitor. The biosensor correctly identified all ovulatory events during its testperiod, but the variability at low progesterone concentrations triggered some false positives. Direct on-line measurement and intelligent interpretation of reproductive hormone profiles offers the potential for substantial improvement in reproductive management. A simple potentiometric method for measurement of milk protein was developed and tested. The method was based on the fact that proteins bind iodine. When proteins are added to a solution of the redox couple iodine/iodide (I-I2), the concentration of free iodine is changed and, as a consequence, the potential between two electrodes immersed in the solution is changed. The method worked well with analytical casein solutions and accurately measured concentrations of analytical caseins added to fresh milk. When tested with actual milk samples, the correlation between the sensor readings and the reference lab results (of both total proteins and casein content) was inferior to that of analytical casein. A number of different technologies were explored for the analysis of milk urea, and a manometric technique was selected for the final design. In the new sensor, urea in the sample was hydrolyzed to ammonium and carbonate by the enzyme urease, and subsequent shaking of the sample with citric acid in a sealed cell allowed urea to be estimated as a change in partial pressure of carbon dioxide. The pressure change in the cell was measured with a miniature piezoresistive pressure sensor, and effects of background dissolved gases and vapor pressures were corrected for by repeating the measurement of pressure developed in the sample without the addition of urease. Results were accurate in the physiological range of milk, the assay was faster than the typical milking period, and no toxic reagents were required. A sampling device was designed and built to passively draw milk from the long milk tube in the parlor. An electrochemical sensor for lactose was developed starting with a three-cascaded-enzyme sensor, evolving into two enzymes and CO2[Fe (CN)6] as a mediator, and then into a microflow injection system using poly-osmium modified screen-printed electrodes. The sensor was designed to serve multiple milking positions, using a manifold valve, a sampling valve, and two pumps. Disposable screen-printed electrodes with enzymatic membranes were used. The sensor was optimized for electrode coating components, flow rate, pH, and sample size, and the results correlated well (r2= 0.967) with known lactose concentrations.

Real-Time and On-Line Measurement System for Trace Gas with Active Control Parameters

2018 ◽  
Vol 38 (5) ◽  
pp. 0530003
Author(s):  
孙明国 Sun Mingguo ◽  
马宏亮 Ma Hongliang ◽  
刘强 Liu Qiang ◽  
曹振松 Cao Zhensong ◽  
王贵师 Wang Guishi ◽  
...  
Keyword(s):  
Real Time ◽  
Active Control ◽  
Measurement System ◽  
Trace Gas ◽  
Control Parameters ◽  
Line Measurement ◽  
On Line

Capacitance Automatic Measurement Method of the Thickness of Liquid Film on Plat Form

2008 ◽  
Vol 381-382 ◽  
pp. 157-160
Author(s):  
Shu Xing Xu ◽  
B. Wang ◽  
Yi Zhong Zheng
Keyword(s):  
Real Time ◽  
Virtual Instrument ◽  
Measurement Method ◽  
Low Cost ◽  
Measurement Theory ◽  
Water Film ◽  
Automatic Measurement ◽  
Time Data ◽  
Line Measurement ◽  
On Line

The thickness of water film is an important parameter in the field of chemical industry. Water film is formed by the flowing water, which flows through a narrow channel. So it is difficult to use contact gauges to measure the water film because it’s flowing so fast that if it is touched, the thickness will be changed. A low-cost and high precision non-contact measurement method—capacitive sensor is used as the sensor of the thickness of water film, virtual instrument is used to analyze the measurement state. In contrast to the conventional stand-alone instruments, a PC based virtual instrument for the measurement of water film is proposed in this paper. Based on on-line measurement theory, real time voltages should be collected to PC. These voltages will be computed by formulas in Labview and the real time data of thickness will be plotted on the screen. If bad signal got, it will give error alarm. The method of the measurement of water film can save a lot of fees of research and applications, and be easy to apply in other measurement and control fields. The basic principle and working process of capacitive micrometer, denoise method, the method of capacitive calibration, virtual instrument data acquisition system and on-line measurement of water film, will be further discussed in this paper.

A New Prediction Model for Thermally Induced Errors of a Turning Center

2014 ◽  
Vol 625 ◽  
pp. 411-416
Author(s):  
Hua Wei Chi ◽  
Yo Ren Lin
Keyword(s):  
Prediction Model ◽  
Real Time ◽  
Measurement System ◽  
Thermal Error ◽  
Cutting Conditions ◽  
Widespread Application ◽  
Thermally Induced ◽  
Line Measurement ◽  
Turning Center ◽  
On Line

Thermally induced errors and geometric errors are two main sources that affect the machine tool accuracy when machining. In the last decade, real time compensation method had received wide attention for its ability to reduce the thermal error cost–effectively. Although real-time thermal error compensation techniques have been successfully demonstrated in laboratories, several difficulties hinder its widespread application. The selection of temperature variables and the setup of the error measurement system are the most critical ones among these difficulties. In this paper, a new on line measurement system and a new model that predicts the thermal error of a turning center are developed. The on-line measurement system using a Renishaw’s LT02S probe system is capable of measuring thermal error of a CNC turning center in real cutting conditions. The neural network uses the cutting conditions as the mapping inputs to avoid problems occurred in the traditional temperature-error mapping model. Results show the proposed measurement system and prediction model can be used to accurately estimate the thermally induced error in real cutting conditions.

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