Long-Distance Slurry Pipeline Valve Monitoring System Design and Application

2012 ◽  
Vol 157-158 ◽  
pp. 1427-1430
Author(s):  
Xu Yi Yuan ◽  
Jian De Wu ◽  
Yu Gang Fan ◽  
Xiao Dong Wang
Keyword(s):  
Monitoring System ◽  
Communication Networks ◽  
Spare Parts ◽  
Measurement Technology ◽  
Long Distance ◽  
Spare Parts Management ◽  
Order Management ◽  
Pipeline Valve ◽  
The Mathematical Model ◽  
Valve Control

For the complex terrain, in long-distance slurry pipeline, the core equipment of the running pipeline - valve monitoring is particularly important. This paper based on the actual running conditions of Yunnan Dahongshan pipeline, developed an intelligent valve control system. Valve monitoring and management can be seen in this system, which combines software programming, measurement technology, communication networks, as well as order management, fault management, spare parts management, query statistics. Getting running parameters rely on the monitoring system, and then for the mathematical model of solid traffic in slurry pipeline transportation, the slurry weight can be measured. The system achieved valve monitoring and management very well, improving the long-distance slurry pipeline running reliability.

Study and Identify on the Best Reserve Quota of Maintenance Spares

2013 ◽  
Vol 275-277 ◽  
pp. 2697-2700
Author(s):  
Yan Jun Shao ◽  
Hong Xia Pan ◽  
Chun Mao Ma ◽  
Yong Jiang Liu
Keyword(s):  
Mathematical Model ◽  
Service Level ◽  
Spare Parts ◽  
Spare Parts Management ◽  
The Mathematical Model ◽  
The Relationship

Identifying the reserve quota of maintenance spares is an important foundation work in spare parts management. The higher the reserve quota of maintenance spares, the higher the service level, accordingly, stock funds occupied more. It is also a kind of large waste for the enterprise. Therefore, it is becoming more importance for making the best reserve quota. In this work, it was based on the consuming law of maintenance spares that the mathematical model was established, so service level of maintenance conditions was identified according to that. The best reserve quota was identified depend on the relationship between service level of maintenance condition and the best service level.

scholarly journals In-Line Analysis of Diffusion Processes in Micro Channels by Long Distance Raman Photometric Measurement Technology—A Proof of Concept Study

Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 116
Author(s):  
Julian Deuerling ◽  
Shaun Keck ◽  
Inasya Moelyadi ◽  
Jens-Uwe Repke ◽  
Matthias Rädle
Keyword(s):  
Numerical Aperture ◽  
Spot Size ◽  
Measuring System ◽  
Optical Systems ◽  
Measurement Technology ◽  
Long Distance ◽  
Measuring Point ◽  
Acetone Concentration ◽  
Micro Channels ◽  
Set Up

This work presents a novel method for the non-invasive, in-line monitoring of mixing processes in microchannels using the Raman photometric technique. The measuring set-up distinguishes itself from other works in this field by utilizing recent state-of-the-art customized photon multiplier (CPM) detectors, bypassing the use of a spectrometer. This addresses the limiting factor of integration times by achieving measuring rates of 10 ms. The method was validated using the ternary system of toluene–water–acetone. The optical measuring system consists of two functional units: the coaxial Raman probe optimized for excitation at a laser wavelength of 532 nm and the photometric detector centered around the CPMs. The spot size of the focused laser is a defining factor of the spatial resolution of the set-up. The depth of focus is measured at approx. 85 µm with a spot size of approx. 45 µm, while still maintaining a relatively high numerical aperture of 0.42, the latter of which is also critical for coaxial detection of inelastically scattered photons. The working distance in this set-up is 20 mm. The microchannel is a T-junction mixer with a square cross section of 500 by 500 µm, a hydraulic diameter of 500 µm and 70 mm channel length. The extraction of acetone from toluene into water is tracked at an initial concentration of 25% as a function of flow rate and accordingly residence time. The investigated flow rates ranged from 0.1 mL/min to 0.006 mL/min. The residence times from the T-junction to the measuring point varies from 1.5 to 25 s. At 0.006 mL/min a constant acetone concentration of approx. 12.6% was measured, indicating that the mixing process reached the equilibrium of the system at approx. 12.5%. For prototype benchmarking, comparative measurements were carried out with a commercially available Raman spectrometer (RXN1, Kaiser Optical Systems, Ann Arbor, MI, USA). Count rates of the spectrophotometer surpassed those of the spectrometer by at least one order of magnitude at identical target concentrations and optical power output. The experimental data demonstrate the suitability and potential of the new measuring system to detect locally and time-resolved concentration profiles in moving fluids while avoiding external influence.

Experiment Research on the Temperature Field and Thermal Error Distribution of NC Grinding Machine

2009 ◽  
Vol 76-78 ◽  
pp. 61-66
Author(s):  
Ya Dong Gong ◽  
Yan Guang Bai ◽  
Yue Ming Liu ◽  
Jian Qiu
Keyword(s):  
Mathematical Model ◽  
Temperature Field ◽  
Infrared Camera ◽  
Thermal Error ◽  
Error Distribution ◽  
Measurement Technology ◽  
Actual Error ◽  
Grinding Machine ◽  
The Mathematical Model ◽  
Nc Grinding

With the help of the infrared camera temperature measurement technology, the systemic theoretical analysis and experimental research for temperature field and thermal error distribution in NC grinding machine is provided. Two different situations for temperature field and thermal error distribution are respectively measured while the free and loaded grinding by the new measurement method. The mathematical model of thermal error is built, and it shows that the actual error and the forecasted error from thermal error mathematical model have good comparability.

Design of Temperature Monitoring System Based on MSP430

2011 ◽  
Vol 301-303 ◽  
pp. 1162-1165
Author(s):  
Fei Hu ◽  
Wen Qing Yin ◽  
Cai Rong Chen
Keyword(s):  
Monitoring System ◽  
Simple Structure ◽  
High Accuracy ◽  
Temperature Monitoring ◽  
Low Power Consumption ◽  
Key Factors ◽  
Process Data ◽  
Long Distance ◽  
Fast Acquisition ◽  
Digital Temperature Sensor

The Greenhouse Temperature Is one of the Key Factors for Controlling the Growth of Crops. Traditional Methods of Temperature Monitoring Can Not Meet the Modern Greenhouse Requirements of High Accuracy, Fast Acquisition and Response. a Greenhouse Temperature Monitoring System Based on MSP430 Was Designed. this System Uses Digital Temperature Sensor DS18B20 to Measure Temperature, MSP430 to Process Data and Transmit Data to the Host Computer through RS485 Bus, Realizing the Real-Time Detection and Long-Distance Transmission of Greenhouse Temperature. this System Has the Features of Simple Structure, Low Power Consumption, Stability and Strong Portability Etc.

scholarly journals Linking the spare parts management with the total costs of ownership: An agenda for future research

2016 ◽  
Vol 9 (5) ◽  
pp. 991 ◽  
Author(s):  
Orlando Duran ◽  
Irene Roda ◽  
Marco Macchi
Keyword(s):  
Life Cycle ◽  
Conceptual Framework ◽  
Spare Parts ◽  
Point Of View ◽  
Management Decision ◽  
Future Research ◽  
Extensive Literature ◽  
Economic Point ◽  
Spare Parts Management ◽  
Physical Asset

Purpose: This manuscript explores the link between Spare Parts Management and Total Costs of Ownership or Life Cycle Costs (LCC).Design/methodology/approach: First, this work enumerates the different managerial decisions instances in spare parts management that are present during the life cycle of a physical asset. Second, we analyse how those decision instances could affect the TCO of a physical asset (from the economic point of view). Finally, we propose a conceptual framework for incorporating the spare parts management into a TCO model.Findings: The recent literature lacks discussions on the integration of spare parts management with the Total Costs of Ownership (TCO). Based in an extensive literature revision we can declare that the computation of costs related to spare parts management has been neglected by TCO models.Originality/value: The contribution of this paper is twofold. First, a literature review and identification of a series of spare parts management decision instances and its relationship with TCOs is presented in this paper. Second, a conceptual framework is suggested for linking those decisions instances to a total cost of ownership perspective. Some research questions and future research challenges are presented at the end of this work.

The Research of GPRS-Based Remote Fault Monitoring System for CNC Machine Tools

2011 ◽  
Vol 328-330 ◽  
pp. 393-397
Author(s):  
Ming Liang Wu ◽  
Xiao Bing Wang ◽  
Shu Rong Yu
Keyword(s):  
Monitoring System ◽  
Communication Networks ◽  
Remote Monitoring ◽  
Data Transfer ◽  
High Reliability ◽  
Fast Response ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Remote Monitoring System ◽  
Wide Range

Based on GPRS network remote monitoring system which uses its two-way transmission performance, can easily monitor various electrical equipments and get information. Compare with the past remote monitoring systems, the system has the advantage of flexible networking, convenient, wide range of data transmission, high reliability, fast response time, and has great significance and value of research in CNC machine tool system with upgrade GPRS in the mobile communication networks, data services expand and data transfer capabilities.

scholarly journals Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Wei Chen ◽  
Xiao Hao ◽  
JianRong Lu ◽  
Kui Yan ◽  
Jin Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Real Time ◽  
Monitoring System ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Environment Monitoring ◽  
Long Distance ◽  
Internet Of Things Technology

In order to solve the problems of high labor cost, long detection period, and low degree of information in current water environment monitoring, this paper proposes a lake water environment monitoring system based on LoRa and Internet of Things technology. The system realizes remote collection, data storage, dynamic monitoring, and pollution alarm for the distributed deployment of multisensor node information (water temperature, pH, turbidity, conductivity, and other water quality parameters). Moreover, the system uses STM32L151C8T6 microprocessor and multiple types of water quality sensors to collect water quality parameters in real time, and the data is packaged and sent to the LoRa gateway remotely by LoRa technology. Then, the gateway completes the bridging of LoRa link to IP link and forwards the water quality information to the Alibaba Cloud server. Finally, end users can realize the water quality control of monitored water area by monitoring management platform. The experimental results show that the system has a good performance in terms of real-time data acquisition accuracy, data transmission reliability, and pollution alarm success rate. The average relative errors of water temperature, pH, turbidity, and conductivity are 0.31%, 0.28%, 3.96%, and 0.71%, respectively. In addition, the signal reception strength of the system within 2 km is better than -81 dBm, and the average packet loss rate is only 94%. In short, the system’s high accuracy, high reliability, and long distance characteristics meet the needs of large area water quality monitoring.

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