Nothing Special   »   [go: up one dir, main page]

CN114413853A - Tailing pond monitoring method and device based on sensor and three-dimensional model - Google Patents

Tailing pond monitoring method and device based on sensor and three-dimensional model Download PDF

Info

Publication number
CN114413853A
CN114413853A CN202210042858.9A CN202210042858A CN114413853A CN 114413853 A CN114413853 A CN 114413853A CN 202210042858 A CN202210042858 A CN 202210042858A CN 114413853 A CN114413853 A CN 114413853A
Authority
CN
China
Prior art keywords
module
data
monitoring
dimensional model
tailing pond
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
Application number
CN202210042858.9A
Other languages
Chinese (zh)
Inventor
喻军
廖长明
敬志坚
庄永忠
向本乾
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Ding An Hua Wisdom Internet Of Things Co ltd
Original Assignee
Chengdu Ding An Hua Wisdom Internet Of Things Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Chengdu Ding An Hua Wisdom Internet Of Things Co ltd filed Critical Chengdu Ding An Hua Wisdom Internet Of Things Co ltd
Priority to CN202210042858.9A priority Critical patent/CN114413853A/en
Publication of CN114413853A publication Critical patent/CN114413853A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
    • G01C11/02Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01FMEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
    • G01F23/00Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Fluid Mechanics (AREA)
  • Multimedia (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention discloses a method and a device for monitoring a tailing pond based on a sensor and a three-dimensional model, and relates to the field of tailing pond monitoring, wherein the method comprises the steps of S1 collecting oblique photography photo data, S2 building the three-dimensional model of the tailing pond, S3 accessing and displaying the generated three-dimensional model data in a browser, S4 monitoring various data of the tailing pond, S5 analyzing various real-time monitoring data of the tailing pond to obtain an analysis result, and generating a tailing pond risk assessment report; the device comprises an acquisition module, a modeling module, an information monitoring module, an analysis processing module, a derivation module, a central controller and a display module; after the unmanned aerial vehicle collects oblique photography photo data, a three-dimensional model is built, various data of the tailing pond are monitored through the sensor, various data of the tailing pond are analyzed, surrounding conditions and influence range of early warning are displayed on a browser, and basis is provided for decision making and commanding.

Description

Tailing pond monitoring method and device based on sensor and three-dimensional model
Technical Field
The invention relates to the field of tailing pond monitoring, in particular to a tailing pond monitoring method and device based on a sensor and a three-dimensional model.
Background
The tailing pond in China is large in quantity and wide in distribution, a plurality of tailing ponds have been operated for years, the capacity of the tailings ponds is gradually reduced, the capability of resisting natural disasters is continuously reduced, and the potential safety hazard is increased day by day. Moreover, the safety of the tailing pond is related to the safety of people's lives, properties and environment in the affected area, so that the safety monitoring of the tailing pond is significant. However, many tailing pond management systems are in a non-detection monitoring state due to reasons such as incomplete detection and monitoring systems, backward detection and monitoring technologies, lack of professional detection personnel and the like, and some tailing pond management systems are in a non-detection monitoring state, and some tailing pond management systems are manually and regularly measured to the site by using traditional instruments, but certain system errors and manual errors exist under the influence of factors such as weather, manual work, site conditions and the like, and the system errors and the manual errors affect the safe production and the safe management level of a tailing pond. Therefore, the realization of real-time and automatic monitoring of the monitoring index data of the tailing pond by utilizing modern communication, electronic equipment, three-dimensional model technology and computer technology is a necessary way for safety supervision of the tailing pond.
Disclosure of Invention
The invention aims to solve the problems and designs a tailing pond monitoring method and a tailing pond monitoring device based on a sensor and a three-dimensional model.
The invention realizes the purpose through the following technical scheme:
the tailings pond monitoring method based on the sensor and the three-dimensional model comprises the following steps:
s1, collecting oblique photography photo data through an unmanned aerial vehicle;
s2, establishing a three-dimensional model of the tailing pond according to the photo data, transmitting the three-dimensional model to an application server, and loading the three-dimensional model to a Web system;
s3, accessing and displaying the generated three-dimensional model data in a browser;
s4, installing information monitoring modules on the surface of a dam body, the interior of the dam body, an infiltration line, a reservoir area and a dry beach of the tailing pond, binding information of the information monitoring modules in the establishment of a three-dimensional model of the tailing pond through a page of a management end, wherein the information monitoring modules are used for monitoring various data of the tailing pond, and the various data comprise reservoir area water level, the dam body infiltration line, the dry beach liquid level and video images;
and S5, analyzing and monitoring various real-time monitoring data of the tailing pond to obtain an analysis result, and generating a tailing pond risk assessment report according to the analysis result.
Tailings pond monitoring devices based on sensor and three-dimensional model includes:
the acquisition module is used for acquiring model data of the tailing pond;
the modeling module is used for establishing a 3D model of the tailing pond; the data signal output end of the acquisition module is connected with the data signal input end of the modeling module;
the information monitoring module is used for monitoring various data of the tailing pond in real time;
an analysis processing module; the analysis processing module is used for analyzing and monitoring various real-time monitoring data of the tailing pond to obtain an analysis result, and generating a tailing pond risk assessment report according to the analysis result, and a data signal output end of the information monitoring module is connected with a data signal input end of the analysis processing module;
a derivation module for deriving an analysis result; the data signal output end of the analysis processing module is connected with the data signal input end of the derivation module;
a central controller; the data signal output ends of the modeling module, the information monitoring module and the derivation module are all connected with the data signal input end of the central controller;
the display module is used for displaying the monitoring data, the 3D model of the tailing pond and the analysis result; and the signal end of the display module is connected with the signal end of the central controller.
The invention has the beneficial effects that: after the unmanned aerial vehicle collects oblique photography photo data, a three-dimensional model is built, various data of the tailing pond are monitored through the sensor, various data of the tailing pond are analyzed, surrounding conditions and influence range of early warning are displayed on a browser, and basis is provided for decision making and commanding.
Drawings
FIG. 1 is a schematic flow diagram of a tailings pond monitoring method based on sensors and three-dimensional models according to the present invention;
fig. 2 is a schematic structural diagram of a tailings pond monitoring device based on a sensor and a three-dimensional model.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "inside", "outside", "left", "right", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, or the orientations or positional relationships that the products of the present invention are conventionally placed in use, or the orientations or positional relationships that are conventionally understood by those skilled in the art, and are used for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is also to be noted that, unless otherwise explicitly stated or limited, the terms "disposed" and "connected" are to be interpreted broadly, and for example, "connected" may be a fixed connection, a detachable connection, or an integral connection; can be mechanically or electrically connected; the connection may be direct or indirect via an intermediate medium, and may be a communication between the two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The following detailed description of embodiments of the invention refers to the accompanying drawings.
The tailings pond monitoring method based on the sensor and the three-dimensional model comprises the following steps:
s1, collecting oblique photography photo data through an unmanned aerial vehicle;
s2, after a three-dimensional model of the tailing pond is built according to the photo data by CC modeling software, model data are cut according to the range of the tailing pond and then transmitted to an application server, and the model data are loaded to a Web system;
s3, accessing and displaying the generated three-dimensional model data in a browser;
s4, installing information monitoring modules on the surface of a dam body, the inside of the dam body, an infiltration line, a reservoir area and a dry beach of the tailing pond, binding information of the information monitoring modules in the establishment of a three-dimensional model of the tailing pond through a page of a management end, wherein the information monitoring modules are used for monitoring various data of the tailing pond, the various data comprise reservoir area water level, the dam body infiltration line, the dry beach liquid level and video images, and real-time monitoring data are displayed at corresponding positions of the three-dimensional model in a browser;
s5, analyzing and monitoring various real-time monitoring data of the tailing pond to obtain an analysis result, and generating a tailing pond risk assessment report according to the analysis result, wherein the method specifically comprises the following steps:
s51, calculating displacement of the dam body surface, the dam body interior and the dry beach at intervals, wherein the displacement is an observed value-an initial value;
s52, calculating the difference between each real-time detection monitoring data and the displacement and the early warning critical value set by the corresponding data at intervals to obtain an analysis result;
and S53, generating a tailings pond risk assessment report according to the analysis result.
Tailings pond monitoring devices based on sensor and three-dimensional model includes:
the acquisition module is used for acquiring model data of the tailing pond;
the modeling module is used for establishing a 3D model of the tailing pond; the data signal output end of the acquisition module is connected with the data signal input end of the modeling module;
the information monitoring module is used for monitoring various data of the tailing pond in real time;
an analysis processing module; the analysis processing module is used for analyzing and monitoring various real-time monitoring data of the tailing pond to obtain an analysis result, and generating a tailing pond risk assessment report according to the analysis result, and a data signal output end of the information monitoring module is connected with a data signal input end of the analysis processing module;
a derivation module for deriving an analysis result; the data signal output end of the analysis processing module is connected with the data signal input end of the export module;
a central controller; the data signal output ends of the modeling module, the information monitoring module and the derivation module are all connected with the data signal input end of the central controller;
the display module is used for displaying the monitoring data, the 3D model of the tailing pond and the analysis result; and the signal end of the display module is connected with the signal end of the central controller.
The analysis processing module comprises:
a data processing module; the data processing module is used for calculating the displacement of the surface of the dam body, the interior of the dam body and the dry beach, and the data signal output end of the information monitoring module is connected with the data signal input end of the data processing module;
an analysis module; the analysis module is used for calculating a difference value between each real-time detection monitoring data and the displacement and an early warning critical value set by the corresponding data to obtain an analysis result, and the data signal output ends of the information monitoring module and the data processing module are connected with the data signal input end of the analysis module;
a generation module; the generating module is used for generating a tailing pond risk assessment report according to an analysis result, and a data signal output end of the analyzing module is connected with a data signal input end of the generating module.
The acquisition module is unmanned aerial vehicle, and unmanned aerial vehicle is used for the photo data in oblique photography tailings storehouse, and the module of modelling installs CC modeling software.
The information monitoring module comprises a plurality of camera devices and a plurality of liquid level sensors, the camera devices are used for collecting video images of a plurality of positions of the tailing pond, the liquid level sensors are used for collecting the pond area water level of the tailing pond, the liquid level of a dry beach and the seepage lines of a dam body, and the data signal output ends of the camera devices and the liquid level sensors are connected with the data signal input ends of the analysis processing module and the central controller.
The monitoring device further comprises a cloud server, the data signal output ends of the information monitoring module and the acquisition module are connected with the data signal input end of the cloud server, and the data signal output end of the cloud server is connected with the data signal input ends of the analysis processing module and the central controller respectively.
After the unmanned aerial vehicle collects oblique photography photo data, a three-dimensional model is built, various data of the tailing pond are monitored through the sensor, various data of the tailing pond are analyzed, surrounding conditions and influence range of early warning are displayed on a browser, and basis is provided for decision making and commanding.
The technical solution of the present invention is not limited to the limitations of the above specific embodiments, and all technical modifications made according to the technical solution of the present invention fall within the protection scope of the present invention.

Claims (9)

1. The tailings pond monitoring method based on the sensor and the three-dimensional model is characterized by comprising the following steps:
s1, collecting oblique photography photo data through an unmanned aerial vehicle;
s2, establishing a three-dimensional model of the tailing pond according to the photo data, transmitting the three-dimensional model to an application server, and loading the three-dimensional model to a Web system;
s3, accessing and displaying the generated three-dimensional model data in a browser;
s4, installing information monitoring modules on the surface of a dam body, the interior of the dam body, an infiltration line, a reservoir area and a dry beach of the tailing pond, binding information of the information monitoring modules in the establishment of a three-dimensional model of the tailing pond through a page of a management end, wherein the information monitoring modules are used for monitoring various data of the tailing pond, and the various data comprise reservoir area water level, the dam body infiltration line, the dry beach liquid level and video images;
and S5, analyzing and monitoring various real-time monitoring data of the tailing pond to obtain an analysis result, and generating a tailing pond risk assessment report according to the analysis result.
2. The sensor and three-dimensional model based tailings pond monitoring method of claim 1, wherein in S2, after the three-dimensional model of the tailings pond is established by using CC modeling software, model data is cut according to the range of the tailings pond.
3. The sensor and three-dimensional model based tailings pond monitoring method of claim 1, wherein in S4, real-time monitoring data is displayed in a browser at the corresponding position of the three-dimensional model.
4. The sensor and three-dimensional model based tailings pond monitoring method of claim 1, wherein in S5 comprises:
s51, calculating the displacement of the dam surface, the dam interior and the dry beach at intervals;
s52, calculating the difference between each real-time detection monitoring data and the displacement and the early warning critical value set by the corresponding data at intervals to obtain an analysis result;
and S53, generating a tailings pond risk assessment report according to the analysis result.
5. Tailings pond monitoring devices based on sensor and three-dimensional model, its characterized in that includes:
the acquisition module is used for acquiring model data of the tailing pond;
the modeling module is used for establishing a 3D model of the tailing pond; the data signal output end of the acquisition module is connected with the data signal input end of the modeling module;
the information monitoring module is used for monitoring various data of the tailing pond in real time;
an analysis processing module; the analysis processing module is used for analyzing and monitoring various real-time monitoring data of the tailing pond to obtain an analysis result, and generating a tailing pond risk assessment report according to the analysis result, and a data signal output end of the information monitoring module is connected with a data signal input end of the analysis processing module;
a derivation module for deriving an analysis result; the data signal output end of the analysis processing module is connected with the data signal input end of the derivation module;
a central controller; the data signal output ends of the modeling module, the information monitoring module and the derivation module are all connected with the data signal input end of the central controller;
the display module is used for displaying the monitoring data, the 3D model of the tailing pond and the analysis result; and the signal end of the display module is connected with the signal end of the central controller.
6. The sensor and three-dimensional model based tailings pond monitoring apparatus of claim 5 wherein the analysis processing module comprises:
a data processing module; the data processing module is used for calculating the displacement of the surface of the dam body, the interior of the dam body and the dry beach, and the data signal output end of the information monitoring module is connected with the data signal input end of the data processing module;
an analysis module; the analysis module is used for calculating a difference value between each real-time detection monitoring data and the displacement and an early warning critical value set by the corresponding data to obtain an analysis result, and the data signal output ends of the information monitoring module and the data processing module are connected with the data signal input end of the analysis module;
a generation module; the generating module is used for generating a tailing pond risk assessment report according to an analysis result, and a data signal output end of the analyzing module is connected with a data signal input end of the generating module.
7. The sensor and three-dimensional model based tailings pond monitoring device of claim 5, wherein the acquisition module is an unmanned aerial vehicle, the unmanned aerial vehicle is used for photographing the photo data of the tailings pond in an oblique manner, and the modeling module is provided with CC modeling software.
8. The tailings pond monitoring apparatus based on the sensor and the three-dimensional model as claimed in claim 5, wherein the information monitoring module comprises a plurality of cameras and a plurality of liquid level sensors, the plurality of cameras are used for collecting video images of a plurality of positions of the tailings pond, the liquid level sensors are used for collecting the water level of the pond area of the tailings pond, the liquid level of the dry beach and the saturation line of the dam body, and data signal output ends of the plurality of cameras and the plurality of liquid level sensors are connected with data signal input ends of the analysis processing module and the central controller.
9. The sensor and three-dimensional model based tailing pond monitoring device of claim 5, characterized in that, the monitoring device further comprises a cloud server, the data signal output ends of the information monitoring module and the acquisition module are connected with the data signal input end of the cloud server, and the data signal output end of the cloud server is connected with the data signal input ends of the analysis processing module and the central controller respectively.
CN202210042858.9A 2022-01-14 2022-01-14 Tailing pond monitoring method and device based on sensor and three-dimensional model Pending CN114413853A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210042858.9A CN114413853A (en) 2022-01-14 2022-01-14 Tailing pond monitoring method and device based on sensor and three-dimensional model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210042858.9A CN114413853A (en) 2022-01-14 2022-01-14 Tailing pond monitoring method and device based on sensor and three-dimensional model

Publications (1)

Publication Number Publication Date
CN114413853A true CN114413853A (en) 2022-04-29

Family

ID=81272884

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210042858.9A Pending CN114413853A (en) 2022-01-14 2022-01-14 Tailing pond monitoring method and device based on sensor and three-dimensional model

Country Status (1)

Country Link
CN (1) CN114413853A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115035256A (en) * 2022-05-06 2022-09-09 中国安全生产科学研究院 Mine waste reservoir accident potential and risk evolution method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103217936A (en) * 2012-11-30 2013-07-24 环境保护部卫星环境应用中心 Environment-friendly emergent unmanned aerial vehicle integrated system
CN109269555A (en) * 2018-09-03 2019-01-25 空中梦想(北京)科技有限公司 System and method is monitored based on unmanned plane and the Safety of Tailings Dam of dimensional Modeling Technology
US20210248816A1 (en) * 2019-03-28 2021-08-12 Southeast University Embedded urban design scene emulation method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103217936A (en) * 2012-11-30 2013-07-24 环境保护部卫星环境应用中心 Environment-friendly emergent unmanned aerial vehicle integrated system
CN109269555A (en) * 2018-09-03 2019-01-25 空中梦想(北京)科技有限公司 System and method is monitored based on unmanned plane and the Safety of Tailings Dam of dimensional Modeling Technology
US20210248816A1 (en) * 2019-03-28 2021-08-12 Southeast University Embedded urban design scene emulation method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115035256A (en) * 2022-05-06 2022-09-09 中国安全生产科学研究院 Mine waste reservoir accident potential and risk evolution method and system
CN115035256B (en) * 2022-05-06 2023-01-06 中国安全生产科学研究院 Mine waste reservoir accident potential and risk evolution method and system

Similar Documents

Publication Publication Date Title
CN100390565C (en) Method for measuring forest by unmanned aerial vehicle aerial photography remote sensing
CN107065743A (en) A kind of Irrigation District Information System and its management method
CN204425399U (en) A kind of hydrometeorological operation system based on cloud computing
CN104091168A (en) Power line automatic extraction and positioning method based on unmanned aerial vehicle image
CN104410839A (en) Mobile online monitoring system for mountain fire and landslide hazards in power transmission line pole and tower region and monitoring method
CN101762832A (en) Method for detecting depth of snow and device thereof
CN112212922A (en) Emergency water flow velocity monitoring equipment based on artificial intelligence technology
CN107631782A (en) A kind of level testing methods based on Harris Corner Detections
CN106791634A (en) A kind of unmanned plane based on optical, mechanical and electronic integration pans the method and device of figure
CN107421510A (en) A kind of hydrologic monitoring device and method
CN110608716A (en) Substation maintenance safety distance monitoring method based on SLAM
CN203550999U (en) Flood monitoring device and flood disaster managing system
CN114413853A (en) Tailing pond monitoring method and device based on sensor and three-dimensional model
CN112288692B (en) Crack monitoring and management system and monitoring and management method
CN208273026U (en) A kind of environment measuring network system based on wireless sensor
CN112802004A (en) Portable intelligent video detection device for health of transmission line and tower
CN106873625A (en) Detection System for Bridge
CN115223337A (en) Automatic monitoring and early warning system and method for dike seepage
CN117147974B (en) Underground water collecting and quality analyzing device with integrated temperature, water level and conductivity
CN113074797A (en) Water level measuring device without water gauge and water level calibration method
CN117974962A (en) Depth learning-based riverway water level detection method without water rule
CN206684579U (en) Detection System for Bridge
CN216361607U (en) Online monitoring and data integration system for tailing pond
CN214901145U (en) Water level monitoring system based on stereoscopic vision video identification
CN116664861A (en) Power transmission line icing state analysis method and system

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