A FPGA-based parallel method of bridge data compression

With the rapid development of computer technology, sensor technology, and communication technology, people have gradually designed and continuously improved the health monitoring system of bridge structure. Due to the uninterrupted long-term work of the bridge monitoring system, the long-term operation of a large number of sensors will generate massive amounts of data, and a lot of data to be transmitted from the data collector at the bridge site to the data monitoring center requires the use of a wireless network with limited speed, which will consume a lot of time, thereby bring such negative effects as reducing transmission efficiency, reducing throughput, increasing transmission costs, and affecting the entire bridge inspection system. This paper proposes a parallel compression method of LZSS data based on FPGA, which can compress the incoming data from the sensor system in parallel in the data acquisition system to improve the transmission efficiency, increase the throughput, and reduce the transmission cost.

IFC and Monitoring Database System Based on Graph Data Models

An efficient database management system that supports the integration and interoperability of different information models is a foundation on which the higher levels of cyber-physical systems are built. In this paper, we address the problem of integrating monitoring data with building information models through the use of the graph data management system and the IFC standard (Industry Foundation Classes) to support the need for interoperability and collaborative work. The proposed workflow describes the conversion of IFC models into a graph database and the connection with data from sensors, which is then validated using the example of a bridge monitoring system. The presented IFC and sensor graph data models are structurally flexible and scalable to meet the challenges of smart cities and big data.

Cable-Stayed Bridge Loads Caused by Traffic Congestion on the Deck Measured with Bridge Monitoring System

Structural safety of a bridge depends, among other things, on the number of vehicles passing on its deck, their weights and distribution of loads to their axes. A large number of vehicles can accumulate on the bridge in a controlled state, i.e., during an acceptance test including load testing, and during traffic congestion on the bridge, which is a fortuitous event addressed in this paper. The paper deals with the analysis of load intensity on one bridge carriageway when it is fully and randomly filled during traffic congestion. The influence functions of the forces in the cables are used to determine the effects of loads exerted by the vehicles moving at very low speed. Effects of such loads are studied considering an exemplary cable-stayed bridge. Since the measurement basis was limited, the iterative algorithm was used. It consists in shortening the girder sections under analysis to the area appropriate for determining the load in each successive step of iteration. Ineffectiveness of the traditional algorithm, where the determined system of equations is resolved, is an important premise for using such algorithm. The results of numerical analysis show that the load intensity caused by traffic congestion is relatively high. It has been demonstrated that the matrix method may be successfully used to determine the real load of bridges on the basis of selected parameters measured in the bridge structure, also for complex scheme bridges, including the cable-stayed bridges.

Cable-Stayed Bridge Loads Caused by Traffic Congestion on the Deck Measured with Bridge Monitoring System

Structural safety of a bridge depends, among other things, on the number of vehicles passing on its deck, their weights and distribution of loads to their axes. A large number of vehicles can accumulate on the bridge in a controlled state, i.e., during an acceptance test including load testing, and during traffic congestion on the bridge, which is a fortuitous event addressed in this paper. The paper deals with the analysis of load intensity on one bridge carriageway when it is fully and randomly filled during traffic congestion. The influence functions of the forces in the cables are used to determine the effects of loads exerted by the vehicles moving at very low speed. Effects of such loads are studied considering an exemplary cable-stayed bridge. Since the measurement basis was limited, the iterative algorithm was used. It consists in shortening the girder sections under analysis to the area appropriate for determining the load in each successive step of iteration. Ineffectiveness of the traditional algorithm, where the determined system of equations is resolved, is an important premise for using such algorithm. The results of numerical analysis show that the load intensity caused by traffic congestion is relatively high. It has been demonstrated that the matrix method may be successfully used to determine the real load of bridges on the basis of selected parameters measured in the bridge structure, also for complex scheme bridges, including the cable-stayed bridges.

Renewable Energy Based System Using IoT

Bridge safety monitoring system based on IOT this is a wireless technology. In this system we can install the monitoring devices in the bridge. This monitoring device helps to connect the communication devices to a cloud-based server. we use cloud-based server here because it helps to calculates and analyses the data which sent to monitor. Bridge monitoring system can monitor, analyse bridge conditions and their environment and also detect the nearby water levels, vibration and other safety features. Through the telecommunication devices information obtained is transferred to user. In our cities many of the bridges are built on the river that can be reduced their lifetime has expired but it’s still in use.