Sensor power supply management system of bridge health monitoring network and method thereof

Abstract

The invention discloses a sensor power supply management system of a bridge health monitoring network. The system comprises a remote control center, a field control module, a power supply control module and a power supply unit; a remote control module is connected with the field control module, a control output terminal of the field control module is connected with a control input terminal of the power supply control module, a power supply input terminal of the power supply control module is connected with a power supply output terminal of the power supply unit; sensors of the bridge health monitoring network are divided into a plurality of independent sensor groups, and a plurality of power supply output terminals of the power supply control module are correspondingly connected with the sensor groups one by one. The sensor power supply management system employs a corresponding control element to control a power supply management element to supply power to sensors in regions to be measured by an instruction only when required, and the sensors are in an idle state at other time, thus relieving load of the sensors and reducing system consumption; and the invention further discloses a sensor power supply management method of the bridge health monitoring network.

Description

technical field [0001] The invention relates to a sensor power management system of a bridge health monitoring network, and also relates to a sensor power management method of a bridge health monitoring network. Background technique [0002] Bridges are one of the important infrastructures of the country. With the rapid development of bridge construction, people pay more and more attention to bridge safety issues. As the service period continues, the bridge structure may deteriorate, and the increasing traffic volume and overloading may exceed the original design standards, thereby reducing the reliability of the bridge, and even causing bridge safety problems, leading to catastrophic disasters. ACCIDENT. The construction and maintenance of large bridges requires a lot of manpower, material and financial resources, lagging behind the comprehensive monitoring and evaluation methods of bridge construction and development, so that the management and decision-makers of bridges ...

AI Technical Summary

Problems solved by technology

However, the current monitoring system mostly adopts a 24-hour power supply scheme for sensors. This traditional method often easily brings a series of problems to the system due to continuous data sampling and data transmission:

[0004] 1. In this solution, because the sensor works 24 hours a day, the data collector continuously collects data and then transmits it to the on-site host. The amount of collected data is very large and difficult to store;

[0005] 2. The collected data will eventually be transmitted to the remote monitoring center for data analysis. Due to the large number of sensors, the huge data transmitted to the control center at the same time is difficult or even impossible to analyze, although many of them do not need to be measured at all. The data;

[0006] 3. The long-term effective application of the system depends on the durability of the monitoring components. If the sensor is in the power supply state for a long time, it is easy to age due to high consumption, thereby reducing the life of the sensor, and once the sensor is damaged, it is very inconvenient to replace

[0007] Aiming at the problem of continuous hardware aging, on the one hand, the state of the bridge usually changes very slowly, so the system does not need to monitor the bridge structure all the time, it can be monitored every hour or a few hours, or even once a day or a few days ; On the other hand, in fact, each part of the system does not need to work at the same time. For a system, if each component continues to work, not only will the working time be wasted on waiting and coordination, but also the long-term continuous work Will seriously affect the component life of every part of the system

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