CN104698489A - Dangerous rock recognition method - Google Patents

Abstract

The invention discloses a dangerous rock recognition method. The dangerous rock recognition method is characterized by comprising the following steps of 1 setting a micro-motion signal detecting and processing system, wherein the micro-motion signal detecting and processing system comprises a single-point three-dimensional laser vibration measurement instrument, a data analysis processor, micro-motion data analysis software and an instrument support; 2 acquiring frequent micro-motion data of a base rock and a rock block to be measured and transferring the frequent micro-motion data to the data analysis processor to be processed; 3 comparing and analyzing two groups of data and evaluating the falling danger level of the rock block according to an analysis result. If the difference of frequent micro-motion characteristic parameters of the rock block to be measured and frequent micro-motion characteristic parameters of the base rock is large, the rock block to be measured is not substantially connected with the base rock together and is a dangerous rock block. The dangerous rock recognition method utilizes a natural vibration micro-motion signal of an object, does not need an external vibration source, adopts a non-contact measurement mode, can accurately measure micro-vibration of a remote object and has the advantage of being high in accuracy.

Description

Crag recognition methods

Technical field

The present invention relates to dangerous sillar identification field in slope project and underground works, specifically a kind of dangerous sillar recognition methods based on frequent microtremor technology.

Background technology

Rockfall is disaster common in slope project and underground works, and under gravity and other interference effect, dangerous sillar may depart from from basement rock, slides and fall suddenly.When it occurs in the side slope of near roads, often the significant damage such as interruption of communication and personal injury can be brought.When underground works adopts drill bursting construction, often can produce some reality and disconnect with basement rock, but the sillar not yet dropped, may drop suddenly when being subject to environmental perturbation, serious threat site operation personal security.Therefore, must crag investigation and identification be carried out in these engineerings, and then set up corresponding disposal method.

The key of rockfall investigation is the connection status judging target sillar and basement rock, if both have disconnected or major part disconnects, thinks dangerous sillar.Current investigation method, mainly manually knocks inspection based on scene, this method for people can be close fritter crag can effectively identify.For bulk crag, manually knock and be difficult to cause obvious response, can cause identifying difficulty.For being positioned at the maccessiable crag in precipitous position, said method is then not easy to implement.The investigation method based on three-dimensional laser scanning technique or full-view image technology of recent appearance, only can obtain the coordinate of subject surface to be measured, thus identify the sillar protruded, and but the connection status of target sillar and basement rock can not be judged, therefore can not effective hazard recognition sillar.

Theoretical according to vibration mechanics, owing to being subject to the impact of external environment disturbance, any object is all ceaselessly vibrating with small amplitude at any time, and this ceaselessly small vibrations are called frequent microtremor, and the fine motion characteristic of object is subject to the impact of itself structure and constraint condition.At present, frequent microtremor technology is mainly used in the Gernral Check-up of the xoncrete structures such as ground, bridge pier, tunnel-liner, and its principle is that the fine motion data by testing xoncrete structure judge whether inside configuration exists the defect such as crackle, cavity.Although frequent microtremor technology is widely used, carrying out crag knowledge method for distinguishing based on frequent microtremor technology does not also have report.

Summary of the invention

Task of the present invention is to provide a kind of dangerous sillar recognition methods based on frequent microtremor technology, and its technical solution is:

A kind of crag recognition methods, is characterized in that comprising the following steps:

1. micro-tremor signal detecting processing system is set; Micro-tremor signal detecting processing system comprises: single-point three-dimensional laser vialog, data analysis processor, fine motion data analysis software and instrument support; Described single-point three-dimensional laser vialog, there is automatic Calibration function, support and itself vibrates can be got rid of on the impact of measurement result, the fine motion data in object X, Y, Z tri-directions can be measured simultaneously, measure content and comprise displacement, speed and acceleration, and then can in the hope of measuring the data such as vibration frequency, amplitude of object; Described data analysis processor, is connected with single-point three-dimensional laser vialog, by the fine motion data analysis software be mounted in it in advance, can store, show, process and analysis to measure data; Described instrument support, for fixed laser vialog, provides stable measurement environment easily;

2. single-point three-dimensional laser vialog is aimed at the optional position on basement rock, gather the frequent microtremor data of basement rock, and pass to data analysis processor as reference data; Single-point three-dimensional laser vialog is aimed at the optional position on sillar to be measured, gather the frequent microtremor data of sillar to be measured, and pass to data analysis processor data as a comparison;

3. above-mentioned two groups of data are analyzed, and assess according to the hazard level that drops of analysis result to sillar; If the frequent microtremor characterisitic parameter of sillar to be measured is close to the frequent microtremor characterisitic parameter of basement rock, illustrate that sillar to be measured is together with basement rock compact siro spinning technology, does not have danger; If the frequent microtremor characterisitic parameter difference of the frequent microtremor characterisitic parameter of sillar to be measured and basement rock is comparatively large, illustrates that sillar to be measured and basement rock do not have substantial linking together, belong to dangerous sillar.

Principle of the present invention is: any object all has frequent microtremor characteristic, and fine motion characterisitic parameter is subject to the impact of itself structure and constraint condition; If judge whether target sillar is connected with basement rock, only need measure its frequent microtremor characterisitic parameter, and judge whether with the frequent microtremor characterisitic parameter of basement rock close.If target sillar and basement rock compact siro spinning technology, then the two should have similar frequent microtremor characterisitic parameter; If target sillar and basement rock do not have substantive connection, then the two should have respective frequent microtremor characterisitic parameter, because both structural difference are comparatively large, so respective frequent microtremor characterisitic parameter difference is also larger.The connection status of target sillar and basement rock can be judged according to above-mentioned theory, and then can hazard recognition sillar easily.

Advantage of the present invention is: the self-vibration micro-tremor signal 1) utilizing object, does not need outside focus, has both simplified the step of detection, and turn avoid the error that external force causes, antijamming capability is strong; 2) adopt contactless metering system, accurately can measure the microvibration of remote object, significant for the dangerous sillar identification on steep hillside; 3) existing method is by the pattern of the methods analyst such as laser scanning or photography object to be measured, but because its pattern and connection status do not determine relation, so only can guestimate hazardous location, the application accurately judges both connection status by the frequent microtremor data of measurement target sillar and basement rock, and relatively existing method has high-precision feature.

Accompanying drawing explanation

Below in conjunction with accompanying drawing and embodiment, the invention will be further described:

Accompanying drawing 1 is the principle schematic of the crag recognition methods in the present invention.

Embodiment

By reference to the accompanying drawings 1, a kind of crag recognition methods, is characterized in that comprising the following steps:

1. micro-tremor signal detecting processing system is set; Micro-tremor signal detecting processing system comprises: single-point three-dimensional laser vialog 1, data analysis processor 2, fine motion data analysis software and instrument support 3; Described single-point three-dimensional laser vialog 1, there is automatic Calibration function, support and itself vibrates can be got rid of on the impact of measurement result, the fine motion data in object X, Y, Z tri-directions can be measured simultaneously, measure content and comprise displacement, speed and acceleration, and then can in the hope of measuring the data such as vibration frequency, amplitude of object; Described data analysis processor 2, is connected with single-point three-dimensional laser vialog, by the fine motion data analysis software be mounted in it in advance, can store, show, process and analysis to measure data; Described instrument support 3, for fixed laser vialog, provides stable measurement environment easily;

2. single-point three-dimensional laser vialog 1 is aimed at the optional position on basement rock M, gather the frequent microtremor data of basement rock, and pass to data analysis processor as reference data; Single-point three-dimensional laser vialog is aimed at the optional position on sillar a or b to be measured, gathers the frequent microtremor data of sillar to be measured, and pass to data analysis processor data as a comparison;

3. above-mentioned two groups of data are analyzed, and assess according to the hazard level that drops of analysis result to sillar; If the frequent microtremor characterisitic parameter of sillar to be measured is close to the frequent microtremor characterisitic parameter of basement rock, illustrate that sillar to be measured is together with basement rock compact siro spinning technology, does not have danger, as sillar b in figure; If the frequent microtremor characterisitic parameter difference of the frequent microtremor characterisitic parameter of sillar to be measured and basement rock is comparatively large, illustrates that sillar to be measured and basement rock do not have substantial linking together, belong to dangerous sillar, as sillar a in figure.

The above embodiment, the just one of the embodiment that the present invention is more preferably concrete, the usual change that those skilled in the art carries out within the scope of technical solution of the present invention and replacement all should be included in protection scope of the present invention.

Claims (1)

1. a crag recognition methods, is characterized in that comprising the following steps:

1. micro-tremor signal detecting processing system is set; Micro-tremor signal detecting processing system comprises: single-point three-dimensional laser vialog, data analysis processor, fine motion data analysis software and instrument support; Described single-point three-dimensional laser vialog, there is automatic Calibration function, support and itself vibrates can be got rid of on the impact of measurement result, the fine motion data in object X, Y, Z tri-directions can be measured simultaneously, measure content and comprise displacement, speed and acceleration, and then can in the hope of measuring the data such as vibration frequency, amplitude of object; Described data analysis processor, is connected with single-point three-dimensional laser vialog, by the fine motion data analysis software be mounted in it in advance, can store, show, process and analysis to measure data; Described instrument support, for fixed laser vialog, provides stable measurement environment easily;

2. single-point three-dimensional laser vialog is aimed at the optional position on basement rock, gather the frequent microtremor data of basement rock, and pass to data analysis processor as reference data; Single-point three-dimensional laser vialog is aimed at the optional position on sillar to be measured, gather the frequent microtremor data of sillar to be measured, and pass to data analysis processor data as a comparison;

3. above-mentioned two groups of data are analyzed, and assess according to the hazard level that drops of analysis result to sillar; If the frequent microtremor characterisitic parameter of sillar to be measured is close to the frequent microtremor characterisitic parameter of basement rock, illustrate that sillar to be measured is together with basement rock compact siro spinning technology, does not have danger; If the frequent microtremor characterisitic parameter difference of the frequent microtremor characterisitic parameter of sillar to be measured and basement rock is comparatively large, illustrates that sillar to be measured and basement rock do not have substantial linking together, belong to dangerous sillar.