CN211740385U - Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes - Google Patents
Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes Download PDFInfo
- Publication number
- CN211740385U CN211740385U CN202020698073.3U CN202020698073U CN211740385U CN 211740385 U CN211740385 U CN 211740385U CN 202020698073 U CN202020698073 U CN 202020698073U CN 211740385 U CN211740385 U CN 211740385U
- Authority
- CN
- China
- Prior art keywords
- early warning
- sensor
- dangerous rock
- real
- system based
- 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.)
- Expired - Fee Related
Links
Images
Classifications
-
- 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
- Emergency Alarm Devices (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The utility model discloses a dangerous rock mass collapse real-time early warning system based on multiple monitoring index, including monitoring system, early warning analytic system and measurement and control center, the monitoring system includes laser vibrometer, information acquisition system and automatic meteorological station, and laser vibrometer records dangerous rock mass vibration frequency through the signal of reflectance coating reflection; the information acquisition system comprises a displacement sensor, a ground stress sensor and a pore water pressure sensor which are connected with the measurement and control center; 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, the alarm and the automatic roadblock are respectively connected with the measurement and control center. The utility model discloses carry out integrated monitoring and evaluation to dynamics index, statics index and environmental load index to can carry out the analysis adjustment to displacement index threshold value through the information that returns, improve the rate of accuracy of monitoring.
Description
Technical Field
The utility model belongs to geological disaster monitoring early warning field especially relates to a dangerous rock mass real-time early warning system that collapses based on multiple monitoring index.
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.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a dangerous rock mass real-time early warning system that collapses based on multiple monitoring index carries out comprehensive monitoring and evaluation to dynamics index, statics index and environmental load index to can carry out analysis and adjustment to the displacement index threshold value through the information that returns, improve the rate of accuracy of monitoring.
In order to achieve the above purpose, the present invention is realized by the following technical solution:
the embodiment of the utility model provides a dangerous rock mass collapse real-time early warning system based on multiple monitoring index, including monitoring system, early warning analytic system and observing and controlling center, monitoring system includes laser vibrometer, information acquisition system and automatic meteorological station, and laser vibrometer records dangerous rock mass vibration frequency through the signal of reflectance coating reflection; the information acquisition system comprises a displacement sensor, a ground stress sensor and a pore water pressure sensor which are connected with the measurement and control center; 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, the alarm and the automatic roadblock are respectively connected with the measurement and control center.
As a further limitation, a vibration sensor is mounted above the laser vibrometer.
As a further limitation, 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 limitation, the solar energy panel is installed at the support frame top, and the support frame side is fixed with the guard box.
As a further restriction, the data acquisition instrument, the storage battery and the wireless transmission module are arranged inside the protection box, the solar panel is connected with the storage battery through a wire, and the storage battery is connected with the data acquisition instrument through a wire to supply power for the data acquisition instrument.
As a further limitation, 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 limitation, 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 limitation, the measurement and control center comprises an information storage server, an information sorting system and an information processing system.
As a further limitation, the automated barrier is spaced a set distance from the alarm.
Above-mentioned the utility model discloses an embodiment's beneficial effect as follows:
(1) the utility model discloses a one or more embodiment carry out comprehensive monitoring and evaluation to dynamics index, statics index and environmental load index, have improved the unicity of monitoring index in the past to can carry out analysis and adjustment to displacement index threshold through the information that returns, improve the rate of accuracy of monitoring;
(2) one or more embodiments of the utility model 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 the dangerous area through the automatic roadblock, thereby improving the defect that the roadblock is not timely enough through manual setting in the past;
(3) the utility model discloses an one or more embodiment collect monitoring, processing, early warning in an organic whole, have realized the imaging to data, and the development trend of prediction danger rock mass in time sends out the police dispatch newspaper when dangerous rock mass displacement surpasses the early warning threshold value, reports to the police in real time, has guaranteed past vehicle personnel's safety.
Drawings
The accompanying drawings, which form a part of the specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without unduly limiting the scope of the invention.
Fig. 1 is a schematic structural diagram of the present invention according to one or more embodiments;
FIG. 2 is a schematic diagram of an automated weather station 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 present 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 elements may be connected directly or indirectly through an intermediate medium, or the two elements may be connected internally or in an interaction relationship, and those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific situation.
The first embodiment is as follows:
the present invention will be described in detail with reference to the accompanying drawings 1-3, 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.
The use method of the dangerous rock collapse real-time early warning system based on various monitoring indexes 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 (9)
1. A dangerous rock body collapse real-time early warning system based on multiple monitoring indexes is characterized by comprising a monitoring system, an early warning analysis system and a measurement and control center, wherein the monitoring system comprises a laser vibrometer, an information acquisition system and an automatic meteorological station, and the laser vibrometer measures the vibration frequency of dangerous rock bodies through signals reflected by a reflecting film; the information acquisition system comprises a displacement sensor, a ground stress sensor and a pore water pressure sensor which are connected with the measurement and control center; 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, the alarm and the automatic roadblock are respectively connected with the measurement and control center.
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 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.
4. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes of claim 3, further comprising a solar panel, wherein the solar panel is installed at the top of the support frame, and a protection box is fixed on the side face of the support frame.
5. The real-time dangerous rock collapse early warning system based on multiple monitoring indexes as claimed in claim 4, wherein a data acquisition instrument, a storage battery and a wireless transmission module are installed inside the protection box, the solar panel is connected with the storage battery through a wire, and the storage battery is connected with the data acquisition instrument through a wire to supply 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 3, 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020698073.3U CN211740385U (en) | 2020-04-29 | 2020-04-29 | Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020698073.3U CN211740385U (en) | 2020-04-29 | 2020-04-29 | Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211740385U true CN211740385U (en) | 2020-10-23 |
Family
ID=72852003
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020698073.3U Expired - Fee Related CN211740385U (en) | 2020-04-29 | 2020-04-29 | Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211740385U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
-
2020
- 2020-04-29 CN CN202020698073.3U patent/CN211740385U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN112560135B (en) * | 2020-11-30 | 2021-10-01 | 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 |
| CN113639849B (en) * | 2021-09-07 | 2022-11-04 | 山东大学 | Tunnel surrounding rock block collapse monitoring method and system based on natural vibration frequency |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111426373A (en) | Dangerous rock body collapse real-time early warning system and method based on multiple monitoring indexes | |
| CN102013150B (en) | System for predicting geologic hazard based on rainfall intensity, moisture content of slope soil and deformation | |
| CN114005278B (en) | Intelligent monitoring and early warning system and method for highway infrastructure group | |
| CN106023530B (en) | A kind of heavy rain type diluted debris flow monitoring and prediction method for early warning | |
| CN208225263U (en) | A kind of safety monitoring slope acquisition system based on Internet of Things big data | |
| KR102057109B1 (en) | EXAMPLES·ALARM SYSTEM AND METHOD INCLUDING SLOPE STABILITY MONITORING BASED ON IoT | |
| CN211740385U (en) | Dangerous rock body collapse real-time early warning system based on multiple monitoring indexes | |
| CN111105600B (en) | Cutting slope stability dynamic monitoring and early warning system and method based on rainfall condition | |
| CN207963788U (en) | A kind of monitoring of slope of highway safe and intelligent and prior-warning device based on depth camera | |
| CN104778517A (en) | Microclimate disaster early warning method and system based on microclimate and satellite remote sensing data | |
| CN107356926A (en) | Difference cloud cluster extrapolation precipitation predicting algorithm based on Hu squares | |
| CN108680733A (en) | A kind of intelligent perception system and method for bituminous paving military service performance | |
| US20220066058A1 (en) | landslide Deep Displacement Remote Visual Monitoring System | |
| CN103745580A (en) | Thunder early warning system and early warning method suitable for power transmission line construction operation | |
| CN109684774A (en) | A kind of beam bridge safety monitoring and assessment device | |
| CN110415491A (en) | Mud-stone flow disaster Integrated Monitoring System and visualization early warning cloud platform | |
| CN115601008A (en) | Engineering settlement deformation monitoring system and method based on digital twinning | |
| CN102980633A (en) | Electromagnetic wave muddy water level monitoring device and system of torrential floods and debris flows | |
| CN101995394A (en) | Mist zone visibility detection method and equipment | |
| CN110780292A (en) | Airborne airplane bump detector and method thereof | |
| KR102352137B1 (en) | Road freezing monitoring system based on IOT | |
| CN112101639A (en) | Airport traffic capacity analysis method and system based on multi-source meteorological data | |
| CN113239506A (en) | Tower deformation and wire galloping risk assessment model based on typhoon weather | |
| CN212109891U (en) | GNSS surface displacement monitoring device integrated with multi-source meteorological detection | |
| CN109490892A (en) | A kind of method for real-time monitoring for compensation device of casting anchor, device and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201023 Termination date: 20210429 |