Design of Cemented Carbide Face Automation Grinder Based on Constant Force Grinding and Online Measurement Technology

2013 ◽  
Vol 712-715 ◽  
pp. 2742-2746
Author(s):  
Tao Chuan Zhang
Keyword(s):  
Real Time ◽  
Measurement Data ◽  
Cemented Carbide ◽  
High Wear Resistance ◽  
Measurement Technology ◽  
Grinding Process ◽  
Constant Force ◽  
Feed System ◽  
Servo Drive ◽  
Control Measurement

A set of face automation grinder is designed aimed at the cemented carbide characteristics of high hardness, high wear resistance, and good dimensional stability,and automatic grinding process is divided into three stages of coarse grinding,accurate grinding and light grinding; Constant force feed system is designed using servo drive mechanism and pneumatic mechanism; Using on-line measurement and grinding support institutions, the grinding process real-time monitoring and real-time processing size measurement are realized; With PLC as the central control unit automatic control system is designed for the grinding force control, measurement data processing and feedback show and grinding process control; The machine design idea is provided the references for other grinding machine automation design.

scholarly journals DISTRIBUTED REAL-TIME MEASUREMENT SYSTEMUSING TIME-TRIGGERED NETWORK APPROACH

2014 ◽  
pp. 22-29
Author(s):  
Piotr Bilski ◽  
Wiesław Winiecki
Keyword(s):  
Laboratory Test ◽  
Real Time ◽  
Virtual Instrument ◽  
Data Transfer ◽  
Measurement Data ◽  
Time Measurement ◽  
Network Approach ◽  
Future Prospects ◽  
Control Measurement ◽  
Real Time Measurement

The paper presents results of the examination of the deterministic network used by the distributed virtual instrument. Software technology applied to control measurement data transfer between the real-time components was presented. Configuration of the laboratory test stand, designed to examine deterministic network is described. Results of the research are presented and conclusions, as well as future prospects iterated.

On the Security and Stability Analysis of Power System Based on Big Data Mode

2013 ◽  
Vol 791-793 ◽  
pp. 1854-1857
Author(s):  
Da Qian Wei ◽  
Bo Wang ◽  
Xing Pei Ji
Keyword(s):  
Big Data ◽  
Real Time ◽  
Measurement Data ◽  
High Capacity ◽  
Electricity Consumption ◽  
Electric Power Industry ◽  
Measurement Technology ◽  
Long Distance ◽  
Dynamic Information ◽  
Time Dynamic

The contradiction between the unbalanced geographical distribution and the electricity consumption of energy distribution determines the long-distance; high-capacity transmission will be an important feature in the future development of the electric power industry. Based on GPS technology, WAN synchronized phases measurement technology has provide real-time dynamic information to the system. However, continuous improvement of the PMU distribution and the real-time monitoring of the grid by WAMS system increasingly comprehensive, massive measurement data have been brought about. Studying the measured data from various trips; it meets the 3V (volume, variety, velocity) characteristics of big data. This paper presents big massive data processing methods to solve the problem with various angles, and its feasibility and necessity.

Real-time Approximation of Photometric Polygonal Lights

2020 ◽  
Vol 3 (1) ◽  
pp. 1-18
Author(s):  
Christian Luksch ◽  
Lukas Prost ◽  
Michael Wimmer
Keyword(s):  
Real Time ◽  
Specular Reflection ◽  
Near Field ◽  
Measurement Data ◽  
Data Sets ◽  
Photometric Measurement ◽  
Integration Technique ◽  
Time Approximation ◽  
Light Emitter ◽  
Selection Of

We present a real-time rendering technique for photometric polygonal lights. Our method uses a numerical integration technique based on a triangulation to calculate noise-free diffuse shading. We include a dynamic point in the triangulation that provides a continuous near-field illumination resembling the shape of the light emitter and its characteristics. We evaluate the accuracy of our approach with a diverse selection of photometric measurement data sets in a comprehensive benchmark framework. Furthermore, we provide an extension for specular reflection on surfaces with arbitrary roughness that facilitates the use of existing real-time shading techniques. Our technique is easy to integrate into real-time rendering systems and extends the range of possible applications with photometric area lights.

scholarly journals Online Simulation of Nuclear Power Plant Primary Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hongyun Xie ◽  
Haixia Gu ◽  
Chao Lu ◽  
Jialin Ping
Keyword(s):  
Information System ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Real Time ◽  
Nuclear Power ◽  
Measurement Data ◽  
Reactor Core ◽  
Power Industry ◽  
Nuclear Power Industry ◽  
Online Simulation

Real-time Simulation (RTS) has long been used in the nuclear power industry for operator training and engineering purposes. And, online simulation (OLS) is based on RTS and with connection to the plant information system to acquire the measurement data in real time for calibrating the simulation models and following plant operation, for the purpose of analyzing plant events and providing indicative signs of malfunctioning. OLS has been applied in certain industries to improve safety and efficiency. However, it is new to the nuclear power industry. A research project was initiated to implement OLS to assist operators in certain critical nuclear power plant (NPP) operations to avoid faulty conditions. OLS models were developed to simulate the reactor core physics and reactor/steam generator thermal hydraulics in real time, with boundary conditions acquired from plant information system, synchronized in real time. The OLS models then were running in parallel with recorded plant events to validate the models, and the results are presented.

Dynamic Measurement of Spatial Attitude at Bottom Rotating Drillstring: Simulation, Experimental, and Field Test

2015 ◽  
Vol 138 (2) ◽  
Author(s):  
Qilong Xue ◽  
Ruihe Wang ◽  
Baolin Liu ◽  
Leilei Huang
Keyword(s):  
Real Time ◽  
Measurement Errors ◽  
Time Window ◽  
Measurement Data ◽  
Movement Patterns ◽  
Dynamic Measurement ◽  
Drilling Process ◽  
Stick Slip ◽  
Actual Measurement ◽  
Gas Drilling

In the oil and gas drilling engineering, measurement-while-drilling (MWD) system is usually used to provide real-time monitoring of the position and orientation of the bottom hole. Particularly in the rotary steerable drilling technology and application, it is a challenge to measure the spatial attitude of the bottom drillstring accurately in real time while the drillstring is rotating. A set of “strap-down” measurement system was developed in this paper. The triaxial accelerometer and triaxial fluxgate were installed near the bit, and real-time inclination and azimuth can be measured while the drillstring is rotating. Furthermore, the mathematical model of the continuous measurement was established during drilling. The real-time signals of the accelerometer and the fluxgate sensors are processed and analyzed in a time window, and the movement patterns of the drilling bit will be observed, such as stationary, uniform rotation, and stick–slip. Different signal processing methods will be used for different movement patterns. Additionally, a scientific approach was put forward to improve the solver accuracy benefit from the use of stick–slip vibration phenomenon. We also developed the Kalman filter (KF) to improve the solver accuracy. The actual measurement data through drilling process verify that the algorithm proposed in this paper is reliable and effective and the dynamic measurement errors of inclination and azimuth are effectively reduced.

Dynamic Data-Driven Spatiotemporal System Behavior Prediction With Simulations and Sensor Measurement Data

2018 ◽  
Author(s):  
Xiangxue Zhao ◽  
Shapour Azarm ◽  
Balakumar Balachandran
Keyword(s):  
Dynamical System ◽  
Real Time ◽  
Measurement Data ◽  
Data Driven ◽  
Sensor Data ◽  
Model Parameters ◽  
High Fidelity ◽  
System Behavior ◽  
Sensor Measurement

Online prediction of dynamical system behavior based on a combination of simulation data and sensor measurement data has numerous applications. Examples include predicting safe flight configurations, forecasting storms and wildfire spread, estimating railway track and pipeline health conditions. In such applications, high-fidelity simulations may be used to accurately predict a system’s dynamical behavior offline (“non-real time”). However, due to the computational expense, these simulations have limited usage for online (“real-time”) prediction of a system’s behavior. To remedy this, one possible approach is to allocate a significant portion of the computational effort to obtain data through offline simulations. The obtained offline data can then be combined with online sensor measurements for online estimation of the system’s behavior with comparable accuracy as the off-line, high-fidelity simulation. The main contribution of this paper is in the construction of a fast data-driven spatiotemporal prediction framework that can be used to estimate general parametric dynamical system behavior. This is achieved through three steps. First, high-order singular value decomposition is applied to map high-dimensional offline simulation datasets into a subspace. Second, Gaussian processes are constructed to approximate model parameters in the subspace. Finally, reduced-order particle filtering is used to assimilate sparsely located sensor data to further improve the prediction. The effectiveness of the proposed approach is demonstrated through a case study. In this case study, aeroelastic response data obtained for an aircraft through simulations is integrated with measurement data obtained from a few sparsely located sensors. Through this case study, the authors show that along with dynamic enhancement of the state estimates, one can also realize a reduction in uncertainty of the estimates.

scholarly journals OPC Protocol Application for Real-Time Carbon Monitoring System for Industrial Environment

2017 ◽  
Vol 7 (2) ◽  
pp. 1051 ◽  
Author(s):  
Mohd Faiz Rohani ◽  
Noor Azurati Ahmad ◽  
Shamsul Sahibuddin ◽  
Salwani Mohd Daud
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Ghg Emissions ◽  
Measurement Data ◽  
Sensor Data ◽  
Successful Implementation ◽  
Open Platform ◽  
Environmental Monitoring System ◽  
Normal Environment ◽  
Communications Protocol

Global warming is referred to the rise in average surface temperatures on earth primarily due to the Greenhouse Gases (GHG) emissions such as Carbon Dioxide (CO<sub>2</sub>). Monitoring the emissions, either direct or indirect from the industrial processes, is important to control or to minimize their impact on the environment. Most of the existing environmental monitoring system is being designed and developed for normal environment monitoring. Hence, the aim of this project is to develop industrial CO<sub>2 </sub>emission monitoring system which implements industrial Open Platform Communications (OPC) protocol in an embedded microcontroller. The software algorithm based on OPC data format has been designed and programmed into the Arduino microcontroller to interface the sensor data to any existing industrial OPC compliant Supervisory Control and Data Acquisition (SCADA) system<strong>. </strong>The system has been successfully tested in a lab with the suitable environment for real-time CO<sub>2 </sub>emissions measurement. The real-time measurement data has been shown in an industrial SCADA application which indicates successful implementation of the OPC communications protocol.

Research on Real-Time Measuring Method of Dynamic Deformation Based on Machine Vision and its Application

2011 ◽  
Vol 130-134 ◽  
pp. 3572-3576
Author(s):  
Li Zong Lin ◽  
Xiao Peng Ni ◽  
Luo Shan Zhou ◽  
Zhi Qin Qian
Keyword(s):  
Fatigue Strength ◽  
Machine Vision ◽  
Real Time ◽  
Dynamic Deformation ◽  
Measurement Data ◽  
Measuring Method ◽  
Strength Test ◽  
Time Deformation ◽  
Vision Measurement ◽  
Searching Method

Dynamic deformation measurement of machine parts in fatigue strength test is studied by using machine vision technique. Considering the uncertainty of parts surface, we adopt circular mark to locate the object profile in order to obtain high quality images. Through some image pre-processing with linear filtering, continuous contour searching method and circular detection based on random Hough transform (RHT), the real-time deformation can be measured with image characteristic parameters. In the practical application, the deformation of the loaded bicycle handle-bar is calculated. The test results show that the machine vision measurement is very effective; measurement resolution attains 0.1mm/pixel; the discrete degree of measurement data is low and the system meets the requirement of real-time measurement. The study proves that the measurement method of dynamic deformation based on machine vision is feasible, which can give some help for fatigue strength test of machine part and other structure deformation.

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