Alarm system for monitoring collapse of rock mass in tunnel
A technology for rock mass and tunnel, which is applied in the field of alarm system of the monitoring information prediction method of tunnel rock mass collapse, can solve the problems of personal safety and data analysis lag, and achieves the effect of improving accuracy, clear information and ensuring personal safety.
Inactive Publication Date: 2009-02-04
DALIAN MARITIME UNIVERSITY
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Problems solved by technology
[0003] The present invention aims at overcoming the problems of the traditional monitoring method of surrounding rock tunnels in broken zones and weak zones on the personal safety of monitoring personnel and data analysis lag, and develops a differential evolution support vector machine prediction method for surrounding rock displacement and online automatic monitoring and monitoring. Alarm system for landslide voice alarm
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[0035] Such as figure 1 As shown, the present invention proposes an alarm device based on a differential evolution support vector machine-based tunnel rock collapse monitoring information prediction method, which can automatically monitor the deformation data of surrounding rocks online, and can analyze and predict the data in time. The sound and light alarms are carried out at a long distance, and the information of the sound alarm is clear, so that the relevant personnel can remotely grasp the status of the surrounding rocks and respond in time. The device has the function of storing data, and can also save and transfer data. The alarm device obtains electric measurement signals through displacement sensors 101 installed in multiple positions on the surrounding rock, and inputs them into the processing unit 105 through the signal transmitter 102 and the A / D conversion unit 103, and the processing unit 105 performs time according to the cycle of the clock. Sequence sampling (...
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The invention discloses an alarm system used for monitoring the collapse of the tunnel rock mass; the alarm device comprises a displacement sensor, a display unit, a processing unit, a data storage unit, a sound output unit and an alarm light output unit; the displacement sensor sends the displacement information of the wall rock to the processing unit for analysis and prediction processing; then the predicted displacement information of the wall rock is compared with the state differentiation information of the wall rock; the processing unit converts different wall rock state information into the control signals of different lights and sends the control signals to the alarm light output unit for the light display of the wall rock state; when the predicted wall rock displacement information exceeds the set alarm value, the processing unit sends a control command to the sound output unit for sound alarm; the method that the differential evaluation and support vector machine time sequence module is adopted to analyze and predict the data in real-time is adopted; the alarm system has the advantages of alarm value sound, light distance alarm, advanced alarm, being applicable to the wide popularization in the tunnel and foundation pit projects.
Description
technical field [0001] The invention relates to a rock mass displacement monitoring and alarm system, in particular to an alarm system based on a differential evolution support vector machine based tunnel rock collapse monitoring information prediction method. Background technique [0002] With the progress of our country's infrastructure construction, underground projects in various industries such as water conservancy, transportation, mining, and construction are just in the ascendant. In many cases, tunnel surrounding rocks are in complex geological conditions such as broken zones and weak zones, which are prone to landslide accidents. It is very important to monitor the displacement of the surrounding rock and predict the collapse under such harsh conditions. The traditional displacement of surrounding rocks is generally manually read displacement data, and then analyzed by technicians. On the one hand, the harsh geological conditions and the possibility of landslides a...
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Inventor姜谙男
OwnerDALIAN MARITIME UNIVERSITY