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

Background: In recent years, sudden deaths of primary and secondary school students caused by sports activities have drawn great attention in education and medical circles. It is necessary for schools to monitor the physical condition of the students in order to reasonably set the duration of their physical activity. At present, the physical condition monitoring instruments used in various hospitals are expensive, bulky, and difficult to operate, and the detection process is complicated. Therefore, existing approaches cannot meet the needs of physical education teachers on campus for detecting the physical condition of students. Methods: This study designs a portable human-physiological-state monitoring and analysis system. Real-time communication between a wearable measurement device and a monitoring device can be ensured by real-time detection of the environment and power control of the transmitted signal. Results: From a theoretical point of view, the larger the number of segments M, the more significantly the reduction of false alarm probability. The simulation results also show this fact. Compared with the conventional early warning mechanism, the probability of a false alarm for the proposed system is lower, and the greater the number of segments, the faster its reaction speed. Conclusion: The portable monitoring system of student physical condition for use in physical education of primary and middle school students proposed in this paper ensures real-time monitoring of the members within the system in an open environment, and further proposes an early warning mechanism for combining multiple vital sign parameters. In addition, the proposed system functions faster; the average early warning time required is only one-quarter of that of the conventional system.

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Design of Early Warning System Based on Wireless Sensor Network

International Journal of Online Engineering (iJOE) ◽

10.3991/ijoe.v14i01.8060 ◽

2018 ◽

Vol 14 (01) ◽

pp. 66

Author(s):

Gan Bo ◽

Jin Shan

Keyword(s):

Data Acquisition ◽

Real Time ◽

Monitoring System ◽

Early Warning ◽

Early Warning System ◽

Warning System ◽

Sensor Data ◽

Landslide Monitoring ◽

Remote Transmission ◽

Sensor Data Acquisition

In order to solve the shortcomings of the landslide monitoring technology method, a set of landslides monitoring and early warning system is designed. It can achieve real-time sensor data acquisition, remote transmission and query display. In addition, aiming at the harsh environment of landslide monitoring and the performance requirements of the monitoring system, an improved minimum hop routing protocol is proposed. It can reduce network energy consumption, enhance network robustness, and improve node layout and networking flexibility. In order to realize the remote transmission of data, GPRS wireless communication is used to transmit monitoring data. Combined with remote monitoring center, real-time data display, query, preservation and landslide warning and prediction are realized. The results show that the sensor data acquisition system is accurate, the system is stable, and the node network is flexible. Therefore, the monitoring system has a good use value.

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Practical Application of an Advanced Real Time Structural Monitoring System

Proceedings of the Eighth International Conference on Civil and Structural Engineering Computing ◽

10.4203/ccp.73.14 ◽

2009 ◽

Author(s):

A. Goodier ◽

S.L. Matthews

Keyword(s):

Real Time ◽

Monitoring System ◽

Structural Monitoring ◽

Practical Application

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A Real-Time Social Media Monitoring System as an Open Source Intelligence (Osint) Platform for Early Warning in Crisis Situations

International conference KNOWLEDGE-BASED ORGANIZATION ◽

10.1515/kbo-2018-0127 ◽

2018 ◽

Vol 24 (2) ◽

pp. 427-431

Author(s):

Elena Șușnea

Keyword(s):

Social Media ◽

Open Source ◽

Real Time ◽

Monitoring System ◽

Early Warning ◽

Open Source Intelligence ◽

Social Media Monitoring ◽

Intelligent Technology ◽

Media Monitoring ◽

Crisis Situations

Abstract In the past years, the number of active users on social networking websites has increased exponentially. The popularity of these websites is due to the fact that users aren't the only content consumers (e.g., news, information, entertainment), they can also generate content and collaborate with other users. In case of the occurrence of unexpected events, such as natural disasters or human atrocities, active users can react in real time by uploading or sharing comments, photos, audio and video recordings, meaning that the amount of data generated and related to the event will be huge. These immediate and dynamic reactions of the users provide insight on the severity of the event and can help identify present or potential factors which could cause the crisis situation to destabilize. The first goal of intelligence is to obtain information on the situation's awareness. In this context, a realtime social media monitoring system can provide a snapshot of the happenings around the unexpected event, therefore it can be an open source intelligence (OSINT) platform for early warning in crisis situations. Furthermore, using intelligent technology, such as data mining, the system can support decision makers to anticipate the evolution of the crisis and take preventive actions to avoid escalating the crisis

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Design of Mine Gas Monitoring System Based on Wireless Sensor Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.603 ◽

2013 ◽

Vol 756-759 ◽

pp. 603-606

Author(s):

Li Li Gao

Keyword(s):

Wireless Sensor Network ◽

Real Time ◽

Sensor Network ◽

Monitoring System ◽

Early Warning ◽

Wireless Sensor ◽

Gas Monitoring ◽

Collection Data ◽

Structure Programming ◽

Mine Gas

Monitoring system design of mine gas Monitoring System were designed according to the traditional lacked of the real-time and early warning functions and so on problems. mine gas Monitoring System was constructed successfully with Wireless Sensor Network Technology. And TinyOS structure programming language nesC was applied to prepare the system software. The wireless on time measurement of the gas density could be conducted. At the same time,SMS message was used to send real-time environment information to users, which containing user-defined periodic collection data and early warning document produced by microcomputer. The simulation and site test showed that the system operation was in normal, stable and reliable.

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Elevator Safety Monitoring and Early Warning System Based on Directional antenna transmission technology

Electronics ETF ◽

10.7251/els1519101h ◽

2016 ◽

Vol 19 (2) ◽

pp. 101

Author(s):

Ying Huang ◽

Weijia Yu

Keyword(s):

Real Time ◽

Monitoring System ◽

Early Warning ◽

Early Warning System ◽

Warning System ◽

Safety Monitoring ◽

Directional Antenna ◽

Data Monitoring ◽

Remote Server ◽

Monitoring And Early Warning

In order to solve problems of the absence of security protection and the lack of early warning mechanism in the current elevator operation process, elevator safety monitoring and early warning system based on directional antenna transmission technology was proposed. The system includes sensor module circuit, microcontroller module circuit, display module, directional antenna transmission module, remote server and data monitoring system. Design ideas of hardware development, remote server and data monitoring system are introduced. Two version monitoring software are written, one for PC monitor, the other one for mobile phone monitoring. In order to improve data transmission distance, transmission rate and transmission quality, automatic antenna alignment system is designed, which combines the advantages of directional antennas and omnidirectional antennas transmission technique. To overcome problems such as instability of the alignment process, delay and other factors, DMC（ Dynamic Matrix Control ） algorithm should be used in the system and optimal control of the antenna angular alignment will be achieved. The system can continuously transmit real-time elevator’s working status information and environmental information, and it also send commands to notify elevator company managers once an abnormal conditions occur in the elevator, so that people can take urgent measures and maintenance measures. This system can be applied to real-time warning of all-types elevators.

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

Sensors ◽

10.3390/s21144737 ◽

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.

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Frame Structure and Engineering Applications of the Multisource System Cloud Service Platform of Monitoring of the Soft Rock Tunnel

Geofluids ◽

10.1155/2021/6672732 ◽

2021 ◽

Vol 2021 ◽

pp. 1-15

Author(s):

Fengnian Wang ◽

Songyang Yin ◽

Aipeng Guo ◽

Zhicai Wang ◽

Meng Mi ◽

...

Keyword(s):

Real Time ◽

Large Deformation ◽

Monitoring System ◽

Early Warning ◽

Soft Rock ◽

Cloud Service ◽

Surrounding Rock ◽

Anchor Cable ◽

Time Operation ◽

Rock Tunnels

Throughout engineering construction, large deformation disasters in soft rock tunnels are encountered increasingly frequently. Therefore, structural health monitoring not only ensures accurate construction management but also provides a basis for dynamic adjustment of the support structure. The existing monitoring technology has certain shortcomings, such as poor anti-interference ability, non-real-time operation, and great security risks. Consequently, high-precision real-time monitoring has become a key scientific issue in tunnel engineering. For this work, multisource information fusion technology was adopted, while data security reserve systems, such as cloud server (ECS) based on the fiber Bragg grating multisource sensing system, cloud database (RDS), and cloud website, were embedded into the No. 2 inclined shaft of the Muzhailing tunnel. Based on the negative Poisson’s ratio (NPR) anchor cable control technology for large deformation of the soft rock in the No. 2 inclined shaft of the Muzhailing tunnel, reasonable and effective intelligent monitoring was carried out for tunnel construction. Monitoring and early warning cloud service platforms, based on the Internet of Things and cloud technology, could quickly produce query and statistic tunnel monitoring information. The monitoring system provided the collection, transmission, storage, processing, and early warning information sending of data, such as NPR anchor cable axial force, steel arch stress, deep surrounding rock displacement, surrounding rock deformation, and contact pressure between primary support with secondary lining. This monitoring system ensured construction safety and provided monitoring application case support for the related problems of similar projects.

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