Bridge Vibration and Cable Force Monitoring System Integration

2014 ◽  
Vol 501-504 ◽  
pp. 885-891
Author(s):  
Chun Xiao ◽  
Chun Zhou ◽  
Zi Hao Liu ◽  
Qiang Li

Bridge Structural Health Monitoring System mainly monitors vibration and cable force of bridge. Fiber optical sensor is chosen to measure vibration and cable force, and their computing method is also given. Besides, wavelet de-noising and Multi-harmonic extraction technology is used to process data. In order to collect, analyze, display and store data, the system use LabVIEW and SQL Serve platform with multi-thread and multi-protocol technology. System regards the one Wuhan Yangtze River Bridge as real-time monitoring objects, and all the indicators have reached the design requirements.

2015 ◽  
Author(s):  
Xuefeng Zhao ◽  
Yan Yu ◽  
Weitong Hu ◽  
Dong Jiao ◽  
Ruicong Han ◽  
...  

2014 ◽  
Vol 687-691 ◽  
pp. 3861-3868
Author(s):  
Zheng Hong Deng ◽  
Li Tao Jiao ◽  
Li Yan Liu ◽  
Shan Shan Zhao

According to the trend of the intelligent monitoring system, on the basis of the study of gait recognition algorithm, the intelligent monitoring system is designed based on FPGA and DSP; On the one hand, FPGA’s flexibility and fast parallel processing algorithms when designing can be both used to avoid that circuit can not be modified after designed; On the other hand, the advantage of processing the digital signal of DSP is fully taken. In the feature extraction and recognition, Zernike moment is selected, at the same time the system uses the nearest neighbor classification method which is more mature and has good real-time performance. Experiments show that the system has high recognition rate.


2011 ◽  
Vol 301-303 ◽  
pp. 1162-1165
Author(s):  
Fei Hu ◽  
Wen Qing Yin ◽  
Cai Rong Chen

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.


Author(s):  
Magnus Langenstein ◽  
Bernd Laipple

The large quantities of measurement information gathered throughout a plant process make the closing of the mass and energy balance nearly impossible without the help of additional tools. For this reason, a variety of plant monitoring tools for closing plant balances was developed. A major problem with the current tools lies in the non-consideration of redundant measurements which are available throughout the entire plant process. The online monitoring reconciliation system is based on the process data reconciliation according to VDI 2048 standard and is using all redundant measurements within the process to close mass and energy balances. As a result, the most realistic process with the lowest uncertainty can be monitored. This system is installed in more than 35 NPPs worldwide and is used ○ as a basis for correction of feed water mass flow and feed water temperature measurements (recover of lost Megawatts). ○ as a basis for correction of Taverage (Tav) (recover of steam generator outlet pressure in PWRs). ○ for maintaining the thermal core power and the feed water mass flow under continuous operation conditions. ○ for automatic detection of erroneous measurements and measurement drift. ○ for detection of inner leakages, non-condensable gases and system losses. ○ for calculating non measured values (e.g. heat transfer coefficients, ΔT, preheater loads,…). ○ as a monitoring system for the main thermodynamic process. ○ for verifying warranty tests more accurate. ○ as a application of condition-based maintenance and component monitoring. ○ for What-if scenarios (simulation, not PDR) This paper describes the methodology according to VDI 2048 (use of Gaussian correction principle and quality criterias). The benefits gained from the use of the online monitoring system are demonstrated.


1990 ◽  
Vol 80 (6B) ◽  
pp. 1833-1851 ◽  
Author(s):  
Thomas C. Bache ◽  
Steven R. Bratt ◽  
James Wang ◽  
Robert M. Fung ◽  
Cris Kobryn ◽  
...  

Abstract The Intelligent Monitoring System (IMS) is a computer system for processing data from seismic arrays and simpler stations to detect, locate, and identify seismic events. The first operational version processes data from two high-frequency arrays (NORESS and ARCESS) in Norway. The IMS computers and functions are distributed between the NORSAR Data Analysis Center (NDAC) near Oslo and the Center for Seismic Studies (Center) in Arlington, Virginia. The IMS modules at NDAC automatically retrieve data from a disk buffer, detect signals, compute signal attributes (amplitude, slowness, azimuth, polarization, etc.), and store them in a commercial relational database management system (DBMS). IMS makes scheduled (e.g., hourly) transfers of the data to a separate DBMS at the Center. Arrival of new data automatically initiates a “knowledge-based system (KBS)” that interprets these data to locate and identify (earthquake, mine blast, etc.) seismic events. This KBS uses general and area-specific seismological knowledge represented in rules and procedures. For each event, unprocessed data segments (e.g., 7 min for regional events) are retrieved from NDAC for subsequent display and analyst review. The interactive analysis modules include integrated waveform and map display/manipulation tools for efficient analyst validation or correction of the solutions produced by the automated system. Another KBS compares the analyst and automatic solutions to mark overruled elements of the knowledge base. Performance analysis statistics guide subsequent changes to the knowledge base so it improves with experience. The IMS is implemented on networked Sun workstations, with a 56 kbps satellite link bridging the NDAC and Center computer networks. The software architecture is modular and distributed, with processes communicating by messages and sharing data via the DBMS. The IMS processing requirements are easily met with major processes (i.e., signal processing, KBS, and DBMS) on separate Sun 4/2xx workstations. This architecture facilitates expansion in functionality and number of stations. The first version was operated continuously for 8 weeks in late-1989. The Center functions were then transferred to NDAC for subsequent operation. Later versions will be distributed among NDAC, Scripps/IGPP (San Diego), and the Center to process data from many stations and arrays. The IMS design is ambitious in its integration of many new computer technologies, but the operational performance of the first version demonstrates its validity. Thus, IMS provides a new generation of automated seismic event monitoring capability.


2015 ◽  
Vol 23 (4) ◽  
pp. 919-925 ◽  
Author(s):  
孙晓 SUN Xiao ◽  
王启明 WANG Qi-ming ◽  
朱明 ZHU Ming ◽  
吴明长 WU Ming-chang

2019 ◽  
Vol 136 ◽  
pp. 01022
Author(s):  
Ge Li-Qing ◽  
Wang Jian-Feng ◽  
Teng Jing-Yu ◽  
Yang Ming

The substations are important parts of modern electrical grids. In this sense, it is necessary to enhance the management efficiency and robustness of the substations. The one-key sequence control technology system could simultaneously control several subsystems and make use of their functions to automatically operate the substations. In this study, three subsystems, i.e., monitoring subsystems, error analysis subsystem, and decision support subsystem are designed in the one-key sequence control technology system. All the background information from the substations is monitored, checked, detected to find the potential threats. The decision support subsystem provides suggestive ways to handle these problems. Therefore, through the reasonable use of the one-key sequence control technology, the overall effectiveness and efficiency of the substations can be enhanced. With the development of artificial intelligence technologies, the one-key sequence control technology system can be further improved with more powerful functions.


2008 ◽  
pp. 337-358 ◽  
Author(s):  
Torbjörn Alm ◽  
Jens Alfredson ◽  
Kjell Ohlsson

The automotive industry is facing economic and technical challenges. The economic situation calls for more efficient processes, not only production processes but also renewals in the development process. Accelerating design work and simultaneously securing safe process outcome leads to products in good correspondence with market demands and institutional goals on safe traffic environments. The technique challenge is going from almost pure mechanical constructions to mechatronic systems, where computer-based solutions may affect core vehicle functionality. Since subcontractors often develop this new technology, system integration is increasingly important for the car manufacturers. To meet these challenges we suggest the simulator-based design approach. This chapter focuses on human-in-the- loop simulation, which ought to be used for design and integration of all car functionality affecting the driver. This approach has been proved successful by the aerospace industry, which in the late 1960s recognized a corresponding technology shift.


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