Resistance-value smart grid deformation testing system and method based on ten-shaft sensor

Abstract

The invention provides a resistance-value smart grid deformation testing system and method based on a ten-shaft sensor. The resistance-value smart grid deformation testing system comprises a data acquisition module, an information transmission module, a control module, a monitoring data processing module, a monitoring data management module, a data analysis prediction module and a mobile server-side. The method integrating the ten-shaft sensor, a metal wire and a geogrid is adopted, the data, such as accelerated speed, angle, angular velocity and magnetic fields, of a geogrid monitoring pointis collected by utilizing the ten-shaft sensor in real time, the metal wire is connected to a circuit, the resistance of the metal wire is monitored in real time, the above data is transmitted to a server or a cloud-side for storage, the deformation amount and displacement of a geogrid monitoring point can be obtained through later data processing and analysis, dynamic monitoring of the structuredamage situation is achieved, accordingly the structure damage development is predicted according to existing data so as to adopt a corresponding protective measure in time.

Description

technical field [0001] The present disclosure relates to the technical field of civil engineering monitoring, in particular to a resistance value sensitive grid deformation testing system and method based on a ten-axis sensor. Background technique [0002] A sensor is a detection device that can sense the measured information and convert the information into electrical signals according to certain rules for transmission, processing, storage, display, recording, etc. Sensors are widely used in various industrial automatic control environments, involving water conservancy and hydropower, railway transportation, intelligent buildings, production automatic control, aerospace, military industry, petrochemical, oil wells, electric power, ships, machine tools, pipelines and many other industries. [0003] The ten-axis sensor is a combination of four sensors: a 3-axis acceleration sensor, a 3-axis gyroscope, a 3-axis electronic compass (geomagnetic sensor) and a pressure sensor. Th...

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Problems solved by technology

At present, the prediction of geological disasters is mostly realized by observing the displacement or deformation of the structure, and the results of displacement or deformation obtained only by naked eye observation are greatly affected by subjective factors, human errors are large, and subtle damage and internal area damage It cannot be observed with the naked eye, and the numerical simulation at this stage is not representative due to the lack of experimental comparison

The existing geological disaster prediction methods are limited by the large discrepancy between the assumptions and the actual conditions, and there are often large differences between the obtained prediction results and the measured values, and the reliability is poor. Therefore, the geological disaster prediction methods need further research

[0006] In the prior art, although there is a method of embedding resistance values ​​into geogrids and using the principle of resistance strain to collect data on geological structures to realize on-line monitoring of foundation displacement, the model established by the data collected by a single resistance value system is prone to data deviation, and there is no The error correction system is not mature enough in data processing, so there is an urgent need for a visual test of structural damage caused by geological disasters, and a solution that can form a mutual error correction monitoring and early warning system

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