Building safety monitoring equipment based on Beidou satellite and sensor and monitoring method

Abstract

The invention provides a building safety monitoring equipment based on a Beidou satellite and a sensor, and a monitoring method. A monitoring station comprises an antenna; the antenna is connected with a signal acquisition controller; a base station for providing positioning reference information to a monitoring station is arranged at a fixed position; the base station is connected with a position service platform; the position service platform comprises a calculation module, an issuing module and stored positioning information; the position service platform is connected with a building safety monitoring platform; the building safety monitoring platform is provided with a processing module for processing positioning information from the position service platform and further comprises an analysis judgment module for analyzing the positioning information processed by the processing module and judging whether a monitoring point has deformation and displacement or not; the analysis judgment module is connected with an alarming module. By adopting the monitoring equipment and the monitoring method, provided by the invention, a safety state of a building is monitored; the monitoring equipment and the monitoring method have the advantages of high precision, no attention of people, acquisition of real-time data in a whole day, all-directional monitoring, trend analysis and early warning.

Description

technical field [0001] The invention relates to building safety monitoring equipment and a monitoring method based on Beidou satellites and sensors. Background technique [0002] With the development of my country's modernization construction, a large number of urban high-rise and super high-rise buildings, a large number of hydraulic structures, industrial facilities, roads and bridges and other municipal facilities, and ecological environments such as reservoirs, dams and mountains have been built. During the operation of these engineering buildings and their equipment, deformation will occur, and the building will be damaged due to strong wind load, ground subsidence and earthquake disaster, which will affect the service life of the building. This kind of deformation is a normal phenomenon within a certain allowable limit; but if it exceeds the specified allowable limit, it will affect the normal use of the building, and in severe cases, it will endanger the safety of the ...

AI Technical Summary

Problems solved by technology

[0007] 1) There may be omissions, one-sided data, related to the technical level of the operator, and there may be human errors

[0008] 2) It may miss the most effective and economical opportunity for immediate correction in the sudden stage

[0009] 3) Ordinary people are unprofessional and have no scientific and systematic basis. Early warnings based on their own judgment may cause false alarms in terms of degree and nature

[0011] 5) The traditional solution still has low degree of automation, real-time performance, integration, and low accuracy index, making it difficult to achieve large-scale rapid monitoring coverage and promotion

When the elevation of the monitoring point is above 100m, the measurement accuracy becomes low due to the large laser divergence angle, and it is impossible to perform multi-point real-time and synchronous measurement, and it is also impossible to perform long-term continuous measurement. Measurements cannot be performed during typhoons and heavy rains. When the vibration frequency of buildings is relatively high, it will be difficult for the laser to capture the target and measurement cannot be performed.

[0014] The displacement sensor is a contact sensor, which must be in contact with the measuring point, and it cannot measure the inaccessible points, and it is difficult to measure the lateral displacement

[0015] To sum up the above, in the actual monitoring work of the traditional building safety monitoring method, there is no data connection between monitoring devices, resulting in data islands, unable to make accurate and effective early warning and trend analysis, and there is a large waste of historical data

[0016] With the continuous expansion of building scale, due to the low degree of automation, real-time, and integration of traditional manual detection methods, it is difficult to achieve large-scale rapid monitoring coverage and promotion; at the same time, errors and omissions caused by human factors are inevitable and difficult to meet Long-term continuous safety monitoring requires timely and effective early warning of building dangers; correspondingly, the safety performance evaluation of a large number of buildings urgently needs long-term and effective actual measurement data support. Therefore, it is necessary to conduct research on building safety monitoring. Establish a high-efficiency, high-integration safety monitoring system that integrates multi-index monitoring data through necessary algorithm models, and can perform big data processing and analysis on monitoring data, so as to achieve timely and effective deformation dynamics of buildings Monitoring and Early Warning

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