scholarly journals Real-Time Structural Monitoring of the Multi-Point Hoisting of a Long-Span Converter Station Steel Structure

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4737
Author(s):  
Yunfeng Zhu ◽  
Yi Gao ◽  
Qinghe Zeng ◽  
Jin Liao ◽  
Zhen Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Large Scale ◽  
Steel Structure ◽  
Automatic Monitoring ◽  
Structural Monitoring ◽  
Monitoring Methods ◽  
Long Span ◽  
Monitoring Process ◽  
Large Scale Data Processing

In the process of using a long-span converter station steel structure, engineering disasters can easily occur. Structural monitoring is an important method to reduce hoisting risk. In previous engineering cases, the structural monitoring of long-span converter station steel structure hoisting is rare. Thus, no relevant hoisting experience can be referenced. Traditional monitoring methods have a small scope of application, making it difficult to coordinate monitoring and construction control. In the monitoring process, many problems arise, such as complicated installation processes, large-scale data processing, and large-scale installation errors. With a real-time structural monitoring system, the mechanical changes in the long-span converter station steel structure during the hoisting process can be monitored in real-time in order to achieve real-time warning of engineering disasters, timely identification of engineering issues, and allow for rapid decision-making, thus avoiding the occurrence of engineering disasters. Based on this concept, automatic monitoring and manual measurement of the mechanical changes in the longest long-span converter station steel structure in the world is carried out, and the monitoring results were compared with the corresponding numerical simulation results in order to develop a real-time structural monitoring system for the whole long-span converter station steel structure’s multi-point lifting process. This approach collects the monitoring data and outputs the deflection, stress, strain, wind force, and temperature of the long-span converter station steel structure in real-time, enabling real-time monitoring to ensure the safety of the lifting process. This research offers a new method and basis for the structural monitoring of the multi-point hoisting of a long-span converter station steel structure.

Theoretical Study on Establishing Hydro-Eco Dynamic Monitoring System in Large-Scale and Arid Irrigation District

2013 ◽  
Vol 726-731 ◽  
pp. 3787-3791
Author(s):  
Zhi Feng Jia ◽  
Wen Bin Li
Keyword(s):  
Monitoring System ◽  
Large Scale ◽  
Water Cycle ◽  
Automatic Monitoring ◽  
Water Shortage ◽  
Irrigation District ◽  
Dynamic Monitoring ◽  
Satellite Monitoring ◽  
Monitoring Methods ◽  
Meteorological Elements

As for some large-scale and arid irrigation district in China, such as Jinghuiqu irrigation district and Shihezi reclamation district, hydro-ecosystem was gradually degenerated and imbalanced due to water shortage and unreasonable exploitation. In order to study hydrological elements, water cycle process and ecological response caused by human activities and other factors, and improve the quality of hydro-ecosystem, scientific connotation of establishing hydro-eco dynamic monitoring system in large-scale and arid irrigation district was defined. Hydro-ecosystem dynamic monitoring indexes including meteorological elements, hydrological elements, ecological elements closely related to hydrological elements and cycle, and socio-economic elements were proposed. Comprehensive monitoring methods based on automatic monitoring net, remote sensing satellite monitoring, field test and investigation were determined, and overall framework of hydro-eco dynamic monitoring was designed, which provided a theoretical basis for establishing hydro-eco dynamic monitoring system in large-scale and arid irrigation district.

scholarly journals Medimate : Ailment Diffusion Control System with Real Time Large Scale Data Processing

2018 ◽  
Vol 7 (2.31) ◽  
pp. 240
Author(s):  
S Sujeetha ◽  
Veneesa Ja ◽  
K Vinitha ◽  
R Suvedha
Keyword(s):  
Control System ◽  
Data Processing ◽  
Real Time ◽  
Large Scale ◽  
Diffusion Control ◽  
Qr Code ◽  
Healthcare Applications ◽  
Large Scale Data ◽  
Large Scale Data Processing ◽  
Scale Data

In the existing scenario, a patient has to go to the hospital to take necessary tests, consult a doctor and buy prescribed medicines or use specified healthcare applications. Hence time is wasted at hospitals and in medical shops. In the case of healthcare applications, face to face interaction with the doctor is not available. The downside of the existing scenario can be improved by the Medimate: Ailment diffusion control system with real time large scale data processing. The purpose of medimate is to establish a Tele Conference Medical System that can be used in remote areas. The medimate is configured for better diagnosis and medical treatment for the rural people. The system is installed with Heart Beat Sensor, Temperature Sensor, Ultrasonic Sensor and Load Cell to monitor the patient’s health parameters. The voice instructions are updated for easier access.  The application for enabling video and voice communication with the doctor through Camera and Headphone is installed at both the ends. The doctor examines the patient and prescribes themedicines. The medical dispenser delivers medicine to the patient as per the prescription. The QR code will be generated for each prescription by medimate and that QR code can be used forthe repeated medical conditions in the future. Medical details are updated in the server periodically.  

Temperature and Displacement Monitoring to Steel Roof Construction of Shenzhen Bay Stadium

2016 ◽  
Vol 16 (04) ◽  
pp. 1640020 ◽  
Author(s):  
Jun Teng ◽  
Wei Lu ◽  
Yan Cui ◽  
Rengui Zhang
Keyword(s):  
Large Scale ◽  
Steel Structure ◽  
Monitoring Data ◽  
Cycle Duration ◽  
Construction Process ◽  
Construction Monitoring ◽  
Long Span ◽  
Wide Range ◽  
Structure Complexity ◽  
Steel Roof

The long-span spatial steel structure takes its complex construction process because of its features, such as large scale, wide range, and long cycle duration. Simultaneously, the structural construction process can not only affect the shaping of long-span spatial structure, but also produce a great effect to structural final force state, which makes the construction monitoring of long-span spatial steel structure necessary. The most important construction parts for Shenzhen Bay Stadium steel roof are unloading process and closure process. Considering the structure complexity in the construction phase, a structural health monitoring system was installed, which began to be built in early 2010 and contained two phases: construction monitoring and operation monitoring. In this paper, the temperatures and displacements monitoring in construction phase are firstly described in detail. The monitoring data of temperature and displacement measured in unloading and closure phases are then analyzed, respectively. According to these monitoring data, the comprehensive understanding for the structural performances in construction phase is shown and discussed, which can provide a reference of construction monitoring for the related projects.

Software Design and Implementation of Large-Scale Intelligent Traffic Monitoring System

2014 ◽  
Vol 644-650 ◽  
pp. 1351-1354
Author(s):  
Jun Ye Wang
Keyword(s):  
Neural Network ◽  
Monitoring System ◽  
Large Scale ◽  
Rbf Neural Network ◽  
Traffic Monitoring ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Traffic State ◽  
Network Algorithm ◽  
Neural Network Algorithm

The design method of large-scale intelligent traffic monitoring system is studied. Traffic monitoring methods have become the core problem of intelligent transportation research field. To this end, this paper proposes an intelligent traffic monitoring method based on clustering RBF neural network algorithm. Fourier coefficient normalization method is used to extract the feature of traffic state, to be as the basis for intelligent traffic monitoring. Using clustering RBF neural network algorithm identify the traffic state effectively, thus to complete the state recognition of intelligent traffic monitoring. Experimental results show that the proposed algorithm performed in intelligent traffic monitoring, can greatly improve the accuracy of monitoring.

Scientific Investigation and Monitoring Result of Potential Large Scale Landslide

2020 ◽  
Author(s):  
Kuo-Lung Wang ◽  
Ching-Weei Lin ◽  
Meei-Ling Lin ◽  
Rou-Fei Chen ◽  
Ya-Ju Hsu ◽  
...  
Keyword(s):  
Monitoring System ◽  
Large Scale ◽  
Ground Deformation ◽  
Water Pressure ◽  
Single Point ◽  
Ground Surface ◽  
Geological Structure ◽  
Scientific Investigation ◽  
Airborne Lidar ◽  
Monitoring Methods

<p>It is always tricky to definite deep-seated or massive scale landslide investigation and monitoring. The scars could map from a high-resolution digital elevation model. However, the activity or sliding depth is merely difficult to define before installing a monitoring system. Lantai potential landslide area is selected for testing and demonstrating newly developed scientific investigation and monitoring techniques. Possible landslide scars have mapped from airborne lidar data, which provided a reference area for DInSAR analysis. More than ten years of DInSAR analysis shows an active/fast-moving area. The sliding plane and geological structure defined from customized earthquake stations and UAV LiDAR following with field verification. The background noise detection can define potential sliding planes from various precipitation events or earthquakes. GPS/leveling stations are installed to monitor ground deformation and verification from DInSAR results providing single point information to the whole area. The drilling holes’ depth is determined from earthquake stations analysis result, geological data, and sliding model from preliminary numerical analysis. Resistivity poles are installed at two holes from 100m beneath the ground surface with connected poles between these two holes to form a window shape monitoring system. The window shape Resistivity Image Profiling system can measure continuously providing not only geological structure variance and groundwater passing this window. New developed optical-fiber water pressure gauges are installed at different depths to verified groundwater pressure and water flow. The deformation system including extensometer, MEMS inclinometer, In-Plane Inclinometer, and Shape Acceleration Array are installed to provide direct displacements from the ground surface to underground. The sliding threshold is thus defined with various measurements from different monitoring methods and with different scales.</p>

Real-Time Optimization of Transportation System for Earth-Rock Filled Dam Construction with GPS-Based Monitoring System

2011 ◽  
Vol 383-390 ◽  
pp. 2108-2115
Author(s):  
Dong Hai Liu ◽  
Kai Jiao ◽  
Jing Sun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Large Scale ◽  
Analytical Calculation ◽  
State Parameter ◽  
Transportation System ◽  
Scientific Basis ◽  
Dam Construction ◽  
Site Condition ◽  
Real Time Scheduling

Although large effort has been done during earth-rock filled dam construction, the artificial-based management is hard to fulfill the need of large-scale mechanized construction. With transportation monitoring system, earth move vehicles can be overall monitored. Through analytical calculation, state parameter of each controlling unit of transportation system can be obtained. On the other side, simulating model is built and calculating program is written based on the specific analysis to transportation system. When the site condition changes during construction, simulating parameters are seated and simulating calculation is done. According to the results, sensitivity analysis is done to different machinery allocation schemes. Then, combined with the site condition, best scheme can be chosen and real-time scheduling of machineries can be realized. The result is applied in the construction of Nuozhadu hydropower station project, providing scientific basis for the optimal scheduling of field machinery allocation.

scholarly journals DEVELOPMENT OF AN INTEGRATED EARLY WARNING AND STRUCTURAL MONITORING SYSTEM TO REAL TIME EARTHQUAKE INFORMATION

2008 ◽  
Vol 14 (28) ◽  
pp. 675-680 ◽  
Author(s):  
Masato MOTOSAKA ◽  
Makoto HOMMA ◽  
H.Serdar KUYUK ◽  
Francisco ARRECIS
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Early Warning ◽  
Structural Monitoring

scholarly journals Review of Technologies for Automatic Health Monitoring of Structures and Buildings

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Artem Basko ◽  
Olena Ponomarova ◽  
Yurii Prokopchuk
Keyword(s):  
Sensor Networks ◽  
Monitoring System ◽  
Health Monitoring ◽  
Network Architecture ◽  
Wireless Sensors ◽  
Automatic Monitoring ◽  
Structural Monitoring ◽  
Monitoring Systems ◽  
Comprehensive Overview ◽  
Main Components

Research in the field of structural monitoring of structures, buildings and structures is not abating. A key link in a modern wireless monitoring system is a sensor built using wireless technologies. Undoubtedly, wireless sensors are gradually replacing wired systems that are difficult to maintain, connect and costly. However, we should not forget about wired systems, wireless sensor networks are a new stage in the development of structural monitoring. The level of development of monitoring systems and wireless sensors for monitoring tasks has not yet been fully investigated for their universal application in various applications. There are also software restrictions associated with the creation and configuration of sensor networks. The importance of using automatic monitoring systems lies in their application in smart homes as monitoring system for the condition of a building and as a human security system. According to this study, it aims to provide a comprehensive overview of structural health monitoring over the years. In particular, this article reviewed and analyzed the main components of wireless communication, such as: hardware of smart wireless sensors, wireless protocol, network architecture, operating systems. This review also presents the scope of both test benches and real deployments of such systems.

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