CN111426373A - Dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes - Google Patents
Dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes Download PDFInfo
- Publication number
- CN111426373A CN111426373A CN202010354884.6A CN202010354884A CN111426373A CN 111426373 A CN111426373 A CN 111426373A CN 202010354884 A CN202010354884 A CN 202010354884A CN 111426373 A CN111426373 A CN 111426373A
- Authority
- CN
- China
- Prior art keywords
- early warning
- dangerous rock
- information
- sensor
- threshold value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000011435 rock Substances 0.000 title claims abstract description 56
- 238000012544 monitoring process Methods 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000006073 displacement reaction Methods 0.000 claims abstract description 31
- 238000005259 measurement Methods 0.000 claims abstract description 31
- 230000003068 static effect Effects 0.000 claims abstract description 10
- 239000002689 soil Substances 0.000 claims description 18
- 230000005540 biological transmission Effects 0.000 claims description 17
- 239000011148 porous material Substances 0.000 claims description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 238000011156 evaluation Methods 0.000 claims description 10
- 230000008020 evaporation Effects 0.000 claims description 9
- 238000001704 evaporation Methods 0.000 claims description 9
- 230000010365 information processing Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 230000007613 environmental effect Effects 0.000 abstract description 3
- 230000008569 process Effects 0.000 abstract description 3
- 238000011161 development Methods 0.000 description 6
- 238000003384 imaging method Methods 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L11/00—Measuring steady or quasi-steady pressure of a fluid or a fluent solid material by means not provided for in group G01L7/00 or G01L9/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
- G01N33/246—Earth materials for water content
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/14—Rainfall or precipitation gauges
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Ecology (AREA)
- General Health & Medical Sciences (AREA)
- Environmental Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Atmospheric Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Remote Sensing (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Hydrology & Water Resources (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses a dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes, wherein the system comprises a monitoring system, a measurement and control center and an early warning analysis system, the monitoring system comprises a laser vibrometer, an information acquisition system and an automatic meteorological station, and the laser vibrometer is used for measuring the vibration frequency of dangerous rock bodies; the information acquisition system and the automatic meteorological station are used for measuring the parameter information of the dangerous rock mass; the measurement and control center stores, arranges and processes the information and transmits the result to the early warning analysis system; the early warning analysis system comprises an early warning threshold value adjusting and comparing module, an alarm and an automatic roadblock, wherein the early warning threshold value adjusting and comparing module is used for dynamically analyzing the static index displacement early warning threshold value and comparing the dynamic analysis with the actually measured displacement value; and when the measured value is larger than the early warning threshold value, starting an alarm and an automatic roadblock. The invention comprehensively monitors and evaluates the dynamics index, the statics index and the environmental quantity index, and can analyze and adjust the displacement index threshold value through the returned information, thereby improving the monitoring accuracy.
Description
Technical Field
The invention belongs to the field of geological disaster monitoring and early warning, and particularly relates to a dangerous rock collapse real-time early warning system and method based on multiple monitoring indexes.
Background
Dangerous rock collapse is a type of geological disaster in mountainous areas, is a geological phenomenon caused by natural power, and is an engineering geological change process of natural hillsides due to the action of human activities. Dangerous rock collapse can bury roads and railways, bring about great potential safety hazards and loss to transportation, change local terrain form, destroy artificial buildings and environments thereof, and endanger life and property safety of people. Therefore, it is necessary to monitor and warn the deformation of the collapse dangerous rock mass to reduce the loss caused by the collapse dangerous rock mass.
The current collapse disaster monitoring technology and method are subjected to simple monitoring such as manual measurement and observation in the past, and gradually develop into automatic monitoring from manual monitoring by using instruments and meters. The inventor finds that the main factors causing the collapse are difficult to judge due to the complexity, randomness, influence factor diversity and the like of the collapse disaster, the conventional monitoring technology considers a few factors, the monitoring index is relatively single, and the development trend of the collapse cannot be reasonably evaluated. In addition, after receiving the early warning of collapse, the vehicle often cannot be informed in time, and the way of manually setting the roadblock to prevent the vehicle from entering the dangerous area is not timely enough.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes, which are used for comprehensively monitoring and evaluating a dynamics index, a statics index and an environmental quantity index, analyzing and adjusting a displacement index threshold value through returned information and improving the monitoring accuracy.
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, an embodiment of the present invention provides a dangerous rock collapse real-time early warning system based on multiple monitoring indexes, including:
the monitoring system is used for acquiring dangerous rock mass and meteorological information data and transmitting the data to the measurement and control center; the system comprises a laser vibrometer, an information acquisition system and an automatic meteorological station, wherein the laser vibrometer measures the vibration frequency of the dangerous rock mass through signals reflected by a reflecting film; the information acquisition system and the automatic meteorological station are used for measuring parameter information of the dangerous rock mass;
the measurement and control center is used for storing, arranging and processing the information and transmitting the result to the early warning analysis system;
the early warning analysis system comprises an early warning threshold value adjusting and comparing module, an alarm and an automatic roadblock, wherein the early warning threshold value adjusting and comparing module is used for dynamically analyzing the early warning threshold value of the static index displacement and comparing the early warning threshold value with the actually measured displacement value; when the measured value is larger than the early warning threshold value, an alarm and an automatic roadblock can be started.
As a further implementation manner, a vibration sensor is installed above the laser vibration meter.
As a further implementation mode, the information acquisition system comprises a displacement sensor, a ground stress sensor and a pore water pressure sensor, and the displacement sensor, the ground stress sensor and the pore water pressure sensor are connected with the measurement and control center through the transmission module.
As a further implementation mode, the automatic meteorological station comprises a snow depth monitor, a rainfall sensor, an evaporation sensor, a soil temperature sensor and a soil moisture sensor which are connected with the measurement and control center through a transmission module.
As a further implementation mode, the solar energy electric heating device further comprises a solar panel, wherein the solar panel is arranged at the top of the support frame, and a protection box is fixed on the side surface of the support frame; the solar cell panel is connected with the storage battery through a wire, and the storage battery is connected with the data acquisition instrument through a wire and supplies power for the data acquisition instrument.
As a further implementation mode, the data acquisition instrument is connected with the snow depth monitor, the rainfall sensor, the evaporation sensor, the soil temperature sensor and the soil moisture sensor through the wireless transmission module.
As a further implementation mode, the snow depth monitor is installed on one side of the support frame through a support rod, and one end of the support rod is connected with the support frame in a sliding mode.
As a further implementation mode, the measurement and control center comprises an information storage server, an information sorting system and an information processing system.
As a further implementation, the automatic barricade is spaced from the alarm by a set distance.
In a second aspect, an embodiment of the present invention further provides a method for using a dangerous rock collapse real-time early warning system based on multiple monitoring indexes, including:
installing a laser range finder, a reflecting film, an information acquisition system and an automatic meteorological station;
the laser range finder measures the vibration frequency of the dangerous rock mass through signals reflected by a reflecting film arranged on the dangerous rock mass, and transmits vibration information to the measurement and control center through the transmission module;
the information acquisition system measures displacement, ground stress and pore water pressure information and transmits the information to the measurement and control center through the transmission module;
the automatic meteorological station measures the information of each element of the dangerous rock mass and transmits the data information to the measurement and control center through the wireless transmission module;
the measurement and control center stores, arranges and comprehensively evaluates the monitoring data transmitted from the site and transmits the comprehensive evaluation result to the early warning analysis system;
the early warning analysis system dynamically analyzes the early warning threshold value of the static index displacement through the comprehensive evaluation result and compares the early warning threshold value with the actually measured displacement value; if the measured value is larger than the early warning threshold value, an alarm and an automatic roadblock are started to inform and prevent the passing vehicle from entering the dangerous area.
The beneficial effects of the above-mentioned embodiment of the present invention are as follows:
(1) one or more embodiments of the invention comprehensively monitor and evaluate the dynamic index, the static index and the environmental quantity index, improve the singleness of the previous monitoring index, analyze and adjust the threshold value of the displacement index through the returned information, and improve the monitoring accuracy;
(2) one or more embodiments of the invention are provided with the alarm and the automatic roadblock, can timely inform the passing vehicle of the early warning of collapse received through the alarm, and timely prevent the vehicle from entering a dangerous area through the automatic roadblock, thereby improving the defect that the prior manual roadblock setting is not timely enough;
(3) one or more embodiments of the invention integrate monitoring, processing and early warning, realize the imaging of data, predict the development trend of dangerous rock masses, send out an alarm in time when the displacement of the dangerous rock masses exceeds an early warning threshold value, give an alarm in real time and ensure the safety of passing vehicles and personnel.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a schematic block diagram of the present invention according to one or more embodiments;
FIG. 2 is a schematic diagram of an automated weather station configuration according to one or more embodiments of the present invention;
FIG. 3 is a schematic diagram of an early warning analysis system according to one or more embodiments of the invention;
the system comprises a laser vibrometer 1, a reflection film 2, a vibration sensor 3, a displacement sensor 4, a ground stress sensor 5, a pore water pressure sensor 6, a snow depth monitor 7, a rainfall sensor 8, an evaporation sensor 9, a soil temperature sensor 10, a soil moisture sensor 11, a solar cell panel 12, a solar cell panel 13, a protection box 14, an alarm 15 and an automatic roadblock.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an", and/or "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof;
the terms "mounted", "connected", "fixed", and the like in the present application should be understood broadly, and for example, the terms "mounted", "connected", and "fixed" may be fixedly connected, detachably connected, or integrated; the two components can be connected directly or indirectly through an intermediate medium, or the two components can be connected internally or in an interaction relationship, and the terms can be understood by those skilled in the art according to specific situations.
The first embodiment is as follows:
the present invention is described in detail below with reference to fig. 1 to 3, and specifically, the structure is as follows:
the embodiment provides a dangerous rock body collapse real-time early warning system based on multiple monitoring indexes, which comprises a monitoring system, a measurement and control center and an early warning analysis system, wherein the monitoring system is used for acquiring dangerous rock bodies and meteorological information data and transmitting the data to the measurement and control center; the measurement and control center stores, arranges and processes the information, realizes the imaging of data, predicts the development trend of dangerous rock masses and transmits the analysis result to the early warning analysis system; and the early warning analysis system dynamically analyzes and compares the early warning threshold values and carries out early warning in time.
Specifically, monitoring system includes laser vibrometer 1, information acquisition system and automatic weather station, and during the use, as shown in figure 1, laser vibrometer 1 installs in the support top to the position of laser vibrometer 1 and dangerous rock mass has been adjusted. The side surface of the dangerous rock mass is fixed with a reflecting film 2, and the laser vibration meter 1 measures the vibration frequency of the dangerous rock mass through signals reflected by the reflecting film 2. And a vibration sensor 3 is arranged above the laser vibration meter 1, and the vibration sensor 3 is used for measuring wind load and ground vibration information. And processing the data measured by the laser vibration meter 1 and the vibration sensor 3 to obtain the final dangerous rock mass vibration data.
The information acquisition system comprises a displacement sensor 4, a ground stress sensor 5 and a pore water pressure sensor 6, and when the system is used, the displacement sensor 4, the ground stress sensor 5 and the pore water pressure sensor 6 are arranged on the side face of the dangerous rock body so as to measure the displacement, the ground stress and the pore water pressure information of the dangerous rock body.
The automatic meteorological station comprises a snow depth monitor 7, a rainfall sensor 8, an evaporation sensor 9, a soil temperature sensor 10, a soil moisture sensor 11 and a solar cell panel 12; as shown in fig. 1, a solar panel 12 is installed on the top of a support frame, a protection box 13 is fixed on the side surface of the support frame, a data acquisition instrument, a storage battery and a wireless transmission module are installed inside the protection box 13, and the solar panel 12 is connected with the storage battery through a wire; the storage battery is connected with the data acquisition instrument through a lead and supplies power to the data acquisition instrument. The data acquisition instrument is connected with the snow depth monitor 7, the rainfall sensor 8, the evaporation sensor 9, the soil temperature sensor 10 and the soil moisture sensor 11 through the wireless transmission module.
Snow depth monitor 7 passes through branch and installs in support frame one side, branch one end and support frame sliding connection, and snow depth monitor 7 is installed to the other end, and snow depth monitor 7's high accessible branch is adjusted. As shown in fig. 2, the rainfall sensor 8 and the evaporation sensor 9 are fixed on the top of the dangerous rock mass, and the soil temperature sensor 10 and the soil moisture sensor 11 are arranged inside the dangerous rock mass.
The measurement and control center comprises an information storage server, an information arrangement system and an information processing system. The information storage server stores the monitoring data transmitted from the site; the information arrangement system collects and arranges the data sent by the laser vibrometer 1, the information acquisition system and the automatic weather station; the information processing system performs comprehensive evaluation processing on the information. Specifically, a neural network algorithm is added in the information processing system, data information acquired on site is input into the neural network for analysis and processing, and the bp neural network establishes a corresponding mathematical model, so that the evaluation grade and the development trend of the dangerous rock mass are calculated. The imaging of the data is realized through the information processing system, the development trend of dangerous rock masses is predicted, and the comprehensive evaluation result is transmitted to the early warning analysis system.
The early warning analysis system comprises an early warning threshold value adjusting and comparing module, an alarm 14 and an automatic roadblock 15, as shown in fig. 3, when the early warning analysis system is used, the alarm 14 is installed on a roadside, and the automatic roadblock 15 and the alarm 14 are separated by a certain distance. Firstly, setting an initial displacement early warning threshold value, dynamically analyzing the early warning threshold value of the static index displacement through a comprehensive evaluation result sent by a measurement and control center by an early warning threshold value adjustment and comparison module, comparing the early warning threshold value with an actually measured displacement value, and if the actually measured value is larger than the early warning threshold value, starting an alarm 14 and an automatic roadblock 15 to notify and prevent passing vehicles from entering a dangerous area.
The automatic roadblock 15 comprises a telescopic roadblock and a controller installed on the telescopic roadblock, wherein the controller is connected with a control center, and the control center controls the telescopic roadblock to stretch out and draw back through wireless remote control.
Example two:
the embodiment provides a use method of a dangerous rock collapse real-time early warning system based on multiple monitoring indexes, which comprises the following steps:
A. the laser range finder 1, the reflective film 2, the information acquisition system and the automatic weather station are arranged at proper positions.
B. The laser range finder 1 measures the vibration frequency of the dangerous rock through the signal reflected by the reflecting film 2 arranged on the dangerous rock, and transmits vibration information to the measurement and control center through the wireless transmission module.
C. The signal acquisition system measures displacement, ground stress and pore water pressure information through a displacement sensor 4, a ground stress sensor 5 and a pore water pressure sensor 6 which are arranged on the dangerous rock mass, and transmits the information to the measurement and control center through a wireless transmission module.
D. The automatic meteorological station carries out all-weather on-site monitoring on the measured elements such as snow depth, rainfall, evaporation, soil temperature and soil moisture, and transmits data information to the measurement and control center through the wireless transmission module.
E. The measurement and control center stores, arranges and comprehensively evaluates the monitoring data transmitted from the site, realizes the imaging of the data, predicts the development trend of dangerous rock masses and transmits the comprehensive evaluation result to the early warning analysis system.
F. The early warning analysis system dynamically analyzes the early warning threshold value of the static index displacement through the comprehensive evaluation result sent by the measurement and control center, compares the early warning threshold value with the actually measured displacement value, and starts the alarm 14 and the automatic roadblock 15 to inform and prevent the passing vehicle from entering the dangerous area if the actually measured value is larger than the early warning threshold value.
G. And repeating the steps A to F to carry out safety monitoring and early warning on the dangerous rock mass.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. The utility model provides a dangerous rock mass collapse real-time early warning system based on multiple monitoring index which characterized in that includes:
the monitoring system is used for acquiring dangerous rock mass and meteorological information data and transmitting the data to the measurement and control center; the system comprises a laser vibrometer, an information acquisition system and an automatic meteorological station, wherein the laser vibrometer measures the vibration frequency of the dangerous rock mass through signals reflected by a reflecting film; the information acquisition system and the automatic meteorological station are used for measuring parameter information of the dangerous rock mass;
the measurement and control center is used for storing, arranging and processing the information and transmitting the result to the early warning analysis system;
the early warning analysis system comprises an early warning threshold value adjusting and comparing module, an alarm and an automatic roadblock, wherein the early warning threshold value adjusting and comparing module is used for dynamically analyzing the early warning threshold value of the static index displacement and comparing the early warning threshold value with the actually measured displacement value; when the measured value is larger than the early warning threshold value, an alarm and an automatic roadblock can be started.
2. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes according to claim 1, wherein a vibration sensor is installed above the laser vibrometer.
3. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes according to claim 1, wherein the information acquisition system comprises a displacement sensor, a ground stress sensor and a pore water pressure sensor, and the displacement sensor, the ground stress sensor and the pore water pressure sensor are connected with the measurement and control center through transmission modules.
4. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes according to claim 1, wherein the automatic weather station comprises a snow depth monitor, a rainfall sensor, an evaporation sensor, a soil temperature sensor and a soil moisture sensor which are connected with the measurement and control center through a transmission module.
5. The dangerous rock collapse real-time early warning system based on multiple monitoring indexes is characterized by further comprising a solar panel, wherein the solar panel is mounted at the top of the support frame, and a protection box is fixed on the side face of the support frame; the solar cell panel is connected with the storage battery through a wire, and the storage battery is connected with the data acquisition instrument through a wire and supplies power for the data acquisition instrument.
6. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes according to claim 5, wherein the data acquisition instrument is connected with a snow depth monitor, a rainfall sensor, an evaporation sensor, a soil temperature sensor and a soil moisture sensor through a wireless transmission module.
7. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes of claim 4, wherein the snow depth monitor is mounted on one side of the support frame through a support rod, and one end of the support rod is slidably connected with the support frame.
8. The dangerous rock collapse real-time early warning system based on multiple monitoring indexes according to claim 1, wherein the measurement and control center comprises an information storage server, an information arrangement system and an information processing system.
9. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes according to claim 1, wherein the automatic roadblock is separated from the alarm by a set distance.
10. The use method of the dangerous rock collapse real-time early warning system based on multiple monitoring indexes according to any one of claims 1 to 9, characterized by comprising the following steps:
installing a laser range finder, a reflecting film, an information acquisition system and an automatic meteorological station;
the laser range finder measures the vibration frequency of the dangerous rock mass through signals reflected by a reflecting film arranged on the dangerous rock mass, and transmits vibration information to the measurement and control center through the transmission module;
the information acquisition system measures displacement, ground stress and pore water pressure information and transmits the information to the measurement and control center through the transmission module;
the automatic meteorological station measures the information of each element of the dangerous rock mass and transmits the data information to the measurement and control center through the wireless transmission module;
the measurement and control center stores, arranges and comprehensively evaluates the monitoring data transmitted from the site and transmits the comprehensive evaluation result to the early warning analysis system;
the early warning analysis system dynamically analyzes the early warning threshold value of the static index displacement through the comprehensive evaluation result and compares the early warning threshold value with the actually measured displacement value; if the measured value is larger than the early warning threshold value, an alarm and an automatic roadblock are started to inform and prevent the passing vehicle from entering the dangerous area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010354884.6A CN111426373A (en) | 2020-04-29 | 2020-04-29 | Dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010354884.6A CN111426373A (en) | 2020-04-29 | 2020-04-29 | Dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111426373A true CN111426373A (en) | 2020-07-17 |
Family
ID=71559197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010354884.6A Pending CN111426373A (en) | 2020-04-29 | 2020-04-29 | Dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111426373A (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112525327A (en) * | 2020-11-30 | 2021-03-19 | 北京中关村智连安全科学研究院有限公司 | Early warning method for rock mass collapse based on variation coefficient time domain dynamics index |
| CN112560135A (en) * | 2020-11-30 | 2021-03-26 | 北京中关村智连安全科学研究院有限公司 | Rock mass collapse early warning method based on impact energy index |
| CN113639849A (en) * | 2021-09-07 | 2021-11-12 | 山东大学 | Tunnel surrounding rock block collapse monitoring method and system based on natural vibration frequency |
| CN113724480A (en) * | 2021-08-27 | 2021-11-30 | 吉林大学 | Monitoring and early warning system for influence of high-speed rail operation on ultrahigh and steep dangerous rocks above tunnel portal |
| CN113848585A (en) * | 2021-09-23 | 2021-12-28 | 大庆亿莱检验检测技术服务有限公司 | Gas storage microseism monitoring method |
| CN114267157A (en) * | 2021-12-17 | 2022-04-01 | 北京科技大学 | Three-level monitoring and early warning method for monitoring sudden engineering geological disasters based on optical remote sensing |
| CN114495428A (en) * | 2021-12-23 | 2022-05-13 | 北京中关村智连安全科学研究院有限公司 | Early warning method and system for landslide disaster |
| CN114743351A (en) * | 2022-04-24 | 2022-07-12 | 沈阳工业大学 | Dangerous rock mass group instability early warning monitoring system |
| CN114791279A (en) * | 2021-11-26 | 2022-07-26 | 中水北方勘测设计研究有限责任公司 | Basement rock mark stability monitoring system |
| CN114859401A (en) * | 2022-07-05 | 2022-08-05 | 山东省鲁南地质工程勘察院(山东省地质矿产勘查开发局第二地质大队) | A joint analysis system for hydrogeological survey |
| CN115217045A (en) * | 2022-07-11 | 2022-10-21 | 华北水利水电大学 | Active protection, dynamic monitoring and treatment method for high-speed rail high-slope dangerous stone |
| CN115271374A (en) * | 2022-06-30 | 2022-11-01 | 中铁西南科学研究院有限公司 | Water disaster risk evaluation system for mountain railway engineering structure |
| WO2023204741A1 (en) * | 2022-04-22 | 2023-10-26 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for detecting falling objects via a wireless communication network |
| CN117094138A (en) * | 2023-08-08 | 2023-11-21 | 北京中关村智连安全科学研究院有限公司 | Side slope dangerous rock mass collapse time prediction method and system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000321099A (en) * | 1999-05-10 | 2000-11-24 | Sho Bond Constr Co Ltd | Monitoring apparatus for falling stone, etc. |
| CN104698085A (en) * | 2015-02-01 | 2015-06-10 | 山东科技大学 | Constant micro technology-based holding rockfall investigation method |
| CN107578605A (en) * | 2016-07-04 | 2018-01-12 | 四川远德安防检测设备有限公司 | A kind of avalanche intellectual monitoring early warning system |
| CN109741575A (en) * | 2018-12-29 | 2019-05-10 | 南昌大学 | A kind of large size caving of dangerous rock real-time system for monitoring and pre-warning |
| CN109765297A (en) * | 2019-01-03 | 2019-05-17 | 北京科技大学 | A kind of avalanche early warning method based on the identification of separation failure omen |
| KR102057109B1 (en) * | 2019-09-09 | 2019-12-18 | 김정완 | EXAMPLES·ALARM SYSTEM AND METHOD INCLUDING SLOPE STABILITY MONITORING BASED ON IoT |
| CN211740385U (en) * | 2020-04-29 | 2020-10-23 | 山东省地质环境监测总站(山东省地质灾害防治技术指导中心) | Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes |
-
2020
- 2020-04-29 CN CN202010354884.6A patent/CN111426373A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000321099A (en) * | 1999-05-10 | 2000-11-24 | Sho Bond Constr Co Ltd | Monitoring apparatus for falling stone, etc. |
| CN104698085A (en) * | 2015-02-01 | 2015-06-10 | 山东科技大学 | Constant micro technology-based holding rockfall investigation method |
| CN107578605A (en) * | 2016-07-04 | 2018-01-12 | 四川远德安防检测设备有限公司 | A kind of avalanche intellectual monitoring early warning system |
| CN109741575A (en) * | 2018-12-29 | 2019-05-10 | 南昌大学 | A kind of large size caving of dangerous rock real-time system for monitoring and pre-warning |
| CN109765297A (en) * | 2019-01-03 | 2019-05-17 | 北京科技大学 | A kind of avalanche early warning method based on the identification of separation failure omen |
| KR102057109B1 (en) * | 2019-09-09 | 2019-12-18 | 김정완 | EXAMPLES·ALARM SYSTEM AND METHOD INCLUDING SLOPE STABILITY MONITORING BASED ON IoT |
| CN211740385U (en) * | 2020-04-29 | 2020-10-23 | 山东省地质环境监测总站(山东省地质灾害防治技术指导中心) | Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes |
Non-Patent Citations (1)
| Title |
|---|
| 徐建强 等: "公路边坡危岩智能安全监测及现场灾害报警技术", 《土工基础》, vol. 31, no. 02, 15 April 2017 (2017-04-15), pages 240 - 243 * |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112525327A (en) * | 2020-11-30 | 2021-03-19 | 北京中关村智连安全科学研究院有限公司 | Early warning method for rock mass collapse based on variation coefficient time domain dynamics index |
| CN112560135A (en) * | 2020-11-30 | 2021-03-26 | 北京中关村智连安全科学研究院有限公司 | Rock mass collapse early warning method based on impact energy index |
| CN113724480A (en) * | 2021-08-27 | 2021-11-30 | 吉林大学 | Monitoring and early warning system for influence of high-speed rail operation on ultrahigh and steep dangerous rocks above tunnel portal |
| CN113639849A (en) * | 2021-09-07 | 2021-11-12 | 山东大学 | Tunnel surrounding rock block collapse monitoring method and system based on natural vibration frequency |
| CN113848585A (en) * | 2021-09-23 | 2021-12-28 | 大庆亿莱检验检测技术服务有限公司 | Gas storage microseism monitoring method |
| CN114791279A (en) * | 2021-11-26 | 2022-07-26 | 中水北方勘测设计研究有限责任公司 | Basement rock mark stability monitoring system |
| CN114791279B (en) * | 2021-11-26 | 2023-09-29 | 中水北方勘测设计研究有限责任公司 | Basic rock mark stability monitoring system |
| CN114267157A (en) * | 2021-12-17 | 2022-04-01 | 北京科技大学 | Three-level monitoring and early warning method for monitoring sudden engineering geological disasters based on optical remote sensing |
| CN114267157B (en) * | 2021-12-17 | 2023-03-14 | 北京科技大学 | Three-level monitoring and early warning method for monitoring sudden engineering geological disasters based on optical remote sensing |
| CN114495428A (en) * | 2021-12-23 | 2022-05-13 | 北京中关村智连安全科学研究院有限公司 | Early warning method and system for landslide disaster |
| WO2023204741A1 (en) * | 2022-04-22 | 2023-10-26 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for detecting falling objects via a wireless communication network |
| CN114743351A (en) * | 2022-04-24 | 2022-07-12 | 沈阳工业大学 | Dangerous rock mass group instability early warning monitoring system |
| CN115271374A (en) * | 2022-06-30 | 2022-11-01 | 中铁西南科学研究院有限公司 | Water disaster risk evaluation system for mountain railway engineering structure |
| CN115271374B (en) * | 2022-06-30 | 2023-06-06 | 中铁西南科学研究院有限公司 | Mountain railway engineering structure water damage risk evaluation system |
| CN114859401A (en) * | 2022-07-05 | 2022-08-05 | 山东省鲁南地质工程勘察院(山东省地质矿产勘查开发局第二地质大队) | A joint analysis system for hydrogeological survey |
| CN115217045A (en) * | 2022-07-11 | 2022-10-21 | 华北水利水电大学 | Active protection, dynamic monitoring and treatment method for high-speed rail high-slope dangerous stone |
| CN117094138A (en) * | 2023-08-08 | 2023-11-21 | 北京中关村智连安全科学研究院有限公司 | Side slope dangerous rock mass collapse time prediction method and system |
| CN117094138B (en) * | 2023-08-08 | 2024-05-10 | 北京中关村智连安全科学研究院有限公司 | Side slope dangerous rock mass collapse time prediction method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111426373A (en) | Dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes | |
| CN211740385U (en) | Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes | |
| CN114005278B (en) | Intelligent monitoring and early warning system and method for highway infrastructure group | |
| CN102013150B (en) | System for predicting geologic hazard based on rainfall intensity, moisture content of slope soil and deformation | |
| CN111105600B (en) | Cutting slope stability dynamic monitoring and early warning system and method based on rainfall condition | |
| CN110926523A (en) | High-speed railway bridge safety perception and early warning system under complicated abominable condition | |
| CN108680733A (en) | A kind of intelligent perception system and method for bituminous paving military service performance | |
| CN104316108A (en) | Method for establishing and analyzing online monitoring system for 500kv power transmission tower in mountain environment | |
| CN109029278B (en) | Device and method for monitoring surface stress strain of grille protection side slope | |
| CN205665418U (en) | Vehicular removes traffic meteorological monitoring system | |
| CN212109891U (en) | GNSS surface displacement monitoring device integrated with multi-source meteorological detection | |
| CN109684774A (en) | A kind of beam bridge safety monitoring and assessment device | |
| CN101995394A (en) | Method and equipment for detecting visibility in fog area | |
| CN111664930B (en) | Frequency and image-based high slope rockfall integrated monitoring system and method | |
| KR102352137B1 (en) | Road freezing monitoring system based on IOT | |
| CN110780292A (en) | Airborne airplane bump detector and method thereof | |
| KR20130056941A (en) | A hybrid energy harvesting apparatus and a safety inspection and survellience system by using the apparatus | |
| CN110782081B (en) | Prediction early warning system and prediction early warning method for heaven-earth combined icing | |
| CN208508614U (en) | A kind of icing monitoring and warning system | |
| CN105004271B (en) | System and method for monitoring displacement by utilizing light rays forming angles with each other | |
| CN115979114A (en) | Electric power tower deformation monitoring devices based on integral type perception technique | |
| CN106935047A (en) | A kind of overweight dynamic detection system and method | |
| CN113470320A (en) | Geological formation vibration early warning wireless remote intelligent monitoring system and early warning method | |
| CN106371153A (en) | Unattended small automatic weather station | |
| CN218513040U (en) | Meteorological disaster joint monitoring and early warning device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |