CN117058841A - Trinity slope monitoring, grading and early warning system for strip mine stope - Google Patents

Abstract

The invention provides a three-in-one slope monitoring, grading and early warning system for an open pit stope, which comprises the following components: the data acquisition module is used for acquiring InSAR remote sensing data, foundation InSAR and three-dimensional laser scanning data and ground core pile data; the display module is used for displaying the results obtained by processing and analyzing various data acquired by the data acquisition module and real-time data; the comprehensive query module is used for accurately querying the monitoring data, the early warning data and the slope radar data; the statistical analysis module generates a monitoring report according to the multi-source data fusion analysis set and files and stores the data based on project and operation and maintenance requirements; the system management module and the database module. According to the scheme, early recognition and comprehensive grasp of the slope state are realized through a three-in-one sensing system of the sky, the sky and the ground, real-time sensing of the state of the whole slope process is realized, visualization, intellectualization and three-dimensional of the safety management information of the slope are realized, and integrated display, monitoring and early warning and dynamic management of mining area risk points are realized.

Description

Trinity slope monitoring, grading and early warning system for strip mine stope

Technical Field

The invention relates to the field of disaster data monitoring and data processing, in particular to a three-in-one slope monitoring, grading and early warning system for an open pit stope.

Background

The problem of slope safety in open-pit mines is always a major concern in mining areas. At present, the strip mine mainly relies on remote micro-deformation IBIS-FM radar to monitor the slope of a key area, and the monitoring indexes mainly comprise displacement and sliding speed. Once the side slope is displaced, the rock mass structure is in a weak stable state or a damaged state, the side slope enters a destabilization stage, and the stage can monitor the destabilization state (displacement, speed, sliding range and the like) by means of an IBIS-FM radar and can also take some pretreatment measures according to radar displacement monitoring data to reduce or avoid safety production accidents. But the monitoring means is single, the data sources are few, a scientific early warning model is lacked, and the problems of small early warning range, short early warning time window, poor early warning data reliability and the like exist. Especially for some landslide caused by weak floors or some landslide with short instability duration, serious landslide safety production accidents are easily caused by insufficient monitoring means.

And faults, cracks and coal seam crack confined aquifers are developed in the mining area of the strip mine. The side slope stability is adversely affected by a plurality of influencing factors to different degrees, a side slope automatic monitoring and early warning system is constructed, the range of possible change of the side slope and the landslide and the change trend thereof are monitored, the side slope is required to be monitored by using a plurality of different types of sensors, and as the monitored parameters are numerous and the physical properties are different, a plurality of different sensing information are required to be effectively fused, so that the complementarity of different attribute information is fully utilized, the side slope stability state is mastered more comprehensively and accurately, and the production safety of the strip mine is ensured.

Therefore, how to realize the real-time monitoring of the safety state and trend of the side slope, accurately position the potentially unstable side slope before the side slope is greatly displaced, realize early warning before instability, provide a sufficient window period for the side slope treatment and landslide emergency, and have great significance for avoiding safety production accidents caused by the instability of the side slope and are also important directions needing improvement at present.

Disclosure of Invention

In order to at least partially solve the problems in the prior art, the invention is based on space remote sensing, ground monitoring and address model data and is constructed through a space-air-ground three-in-one sensing system to monitor the slope safety of an open-air mining area in real time. The technical scheme is specifically as follows:

the utility model provides a three in one side slope monitoring classification early warning system in opencut stope, this system includes: the system comprises a data acquisition module, a display module, a comprehensive query module, a statistical analysis module, a system management module and a database module;

the data acquisition module acquires three types of data: inSAR remote sensing data to identify basic data for open-pit mining area safety conditions; the foundation InSAR and the three-dimensional laser scanning data are used for detecting slope data of an open-pit mining area at the surface level; ground pile data, acquired from pile sensing data;

the display module is used for displaying the results obtained by processing and analyzing various data acquired by the data acquisition module and real-time data;

the comprehensive query module is used for accurately querying the monitoring data, the early warning data and the slope radar data;

the statistical analysis module generates a monitoring report according to the multi-source data fusion analysis set, and files and stores the data based on project and operation and maintenance requirements;

the system management module is used for managing the monitoring area, the monitoring section and the monitoring point related in the system and managing users;

the database module comprises a space library, a monitoring library, a basic library, a business library and a thematic analysis library and is used for storing different types of data.

Preferably, the data acquisition module periodically acquires InSAR remote sensing data, foundation InSAR data and three-dimensional laser scanning data, and the InSAR remote sensing data is combined with the foundation InSAR data and the three-dimensional laser scanning data to identify hidden dangers and dangerous parts of the side slope of the open-air mining area.

Preferably, the statistical analysis module is further configured to:

based on the relation between the dynamic characteristics of the slope and the stability of the dangerous rock mass of the slope and the relation between the dynamic characteristic parameters of the dangerous rock mass of the slope corresponding to the maximum speed of the natural vibration frequency and the damage degree of the slope, establishing a slope stability evaluation model:

establishing a slope instability early warning model based on key dynamics and kinematic characteristics of the instability evolution process of three types of slopes, namely a sliding type slope, a caving type slope and a collapse type slope;

based on the obtained slope deformation monitoring result of the strip mine area slope radar, a relative displacement rate ratio is obtained, and a slope instability early warning model is established based on the relative displacement rate ratio and a slope stability space evaluation index.

Preferably, the display module further comprises:

according to the historical data and expert evaluation grade data in the system management module, the latest historical data and expert evaluation grade data recorded in the database module are used for counting the risk grades and the number of all slopes, and the current grade and the risk index of each partition are displayed;

and displaying the names and risk grades of all the partitions, counting the current side slope risk index, monitoring equipment, equipment online rate and current day early warning data, and displaying all monitoring roll names, states and monitoring profile information under the current partition.

Preferably, the display module further comprises an early warning management unit, and is used for receiving and displaying index early warning, safety early warning and model early warning;

the index early warning is used for displaying early warning grades and comprises early warning time, monitoring area names and warning information;

the model early warning is carried out, the safety degree is output regularly according to the stability of the current slope, and the early warning level is judged according to the safety degree;

and the safety early warning is realized, slope multisource monitoring data and expert analysis opinion are synthesized, and safety early warning information is comprehensively released.

Preferably, the display module is further configured to display the data after multi-source data fusion, including:

InSAR data display, including regional settlement condition data analysis result display, scanning data and variation condition display, and sight line cumulative settlement;

laser point cloud data, which displays laser point cloud data and displacement point cloud data;

slope radar data, displaying scanning data of the slope radar;

GNSS data, which displays GNSS positioning data of each monitoring point;

micro-motion data showing micro-motion data of each monitoring point;

and deep displacement data of each monitoring point and monitoring area topographic data.

Preferably, the comprehensive query module includes:

the monitoring data query unit queries monitoring point monitoring data in a tree structure based on a monitoring data list, wherein the monitoring data list comprises a monitoring name, an equipment ID, an equipment type, a data type, an index name, a numerical value and uploading time;

the early warning data query unit queries early warning data information according to keywords based on an early warning data list, wherein the early warning data list comprises early warning levels, early warning indexes, warning information, early warning time, treatment states, monitoring point positions, side slope partitions, monitoring points, equipment IDs, monitoring types and details;

and the slope radar data inquiry unit is used for receiving the slope radar result data file, inquiring the detail of the slope radar data according to the key words based on the slope radar data list, wherein the slope radar data list comprises file names, data types, importing time and responsible person information.

Preferably, the statistical analysis result output by the statistical analysis module includes:

the monitoring report comprises single project conditions, latest analysis conditions of different monitoring modes and data statistics conditions of all monitoring points; inquiring the monitoring report date in a tree structure mode;

and the archive report is formed in a classification mode for the projects and project progress data stored in the system.

Preferably, the system management module includes:

the monitoring area management unit is used for collecting monitoring area names, types, live-action graphs, professional layout graphs and monitoring point data; when a new monitoring area is added, acquiring the name, type, disaster scale, stability, center point coordinates, range drawing and custom fields of the newly added monitoring area; the method is also used for setting a monitoring profile and associating monitoring points related to the monitoring profile;

the monitoring point management unit is used for setting the type of the monitoring point and summarizing the name, the type of the monitoring point, the area to which the monitoring point belongs, the binding state of equipment, the ID of the equipment, the type of the equipment, the on-line state, the stepping investigation data and the installation information data;

and the user management unit is used for managing the user authority and the user information.

Preferably, the database module performs data preprocessing, data extraction, data processing and data loading on the stored data;

the data preprocessing is carried out, the data is analyzed from a data source, and the analyzed data is stored in a cache area;

the data extraction is carried out, the preprocessed data is subjected to data grabbing according to the system requirement, the grabbed data is filtered, and a data processing link is entered;

the data processing comprises data cleaning and rewarding the data mapping relation among the data to finish the fusion and association among the data tables;

and loading the data after data processing into a database, wherein the results of all data processing and the table structure in the database meet one-to-one association.

Compared with the prior art, the technical scheme of the invention establishes an omnibearing and multi-layer slope monitoring system through a three-in-one sensing system of the sky, the air and the ground, and realizes early identification and comprehensive grasp of the slope state; the method comprises the steps of adopting a dynamic, statics and kinematics three-in-one monitoring and early warning index to establish a slope trend identification and instability early warning model, and realizing the real-time state sensing of the whole slope process; by means of a technology, management and guarantee three-in-one safety management mode, different early warning grade technologies and measure management methods are established, the slope safety management mode is used for realizing the digitization, the intellectualization and the three-dimensional perception management of the mining area safety situation in an information visualization and decision-making scientificalization mode, and the integrated display, the monitoring early warning and the dynamic management of the mining area risk points are realized.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a slope safety monitoring method according to an embodiment of the invention.

Detailed Description

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the described embodiments are only some, but not all, of the embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It will be appreciated by those of skill in the art that the following specific embodiments or implementations are provided as a series of preferred arrangements of the present invention for further explanation of the specific disclosure, and that the arrangements may be used in conjunction or association with each other, unless it is specifically contemplated that some or some of the specific embodiments or implementations may not be associated or used with other embodiments or implementations. Meanwhile, the following specific examples or embodiments are merely provided as an optimized arrangement, and are not to be construed as limiting the scope of the present invention.

The method for establishing the disaster evaluation model is described in detail below with reference to fig. 1 and 2.

The system designed in the scheme of the invention mainly aims at related statics indexes, dynamics indexes and kinematics indexes, and a three-in-one slope monitoring system is established, the slope real-time stability monitoring, grading and early-stage instability early warning are integrated, the early warning of the slope stability and the early stage instability is realized, and the three-in-one slope monitoring, grading and early warning system is constructed through the technologies of satellite-borne InSAR large-scale disaster hidden danger early recognition, slope radar deformation monitoring, three-dimensional laser scanning deformation monitoring, micro-motion intelligent sensing real-time monitoring and the like, so that the global multi-dimensional security situation information perception is realized.

In connection with fig. 1, the system has three main components in construction: processing remote sensing data through InSAR technology, and early identifying the safety condition of an open-pit mining area; the method comprises the steps that through a three-dimensional laser scanning technology and combining with foundation InSAR data, periodic detection is carried out on open-pit mining area slope data on the surface level; and through the arrangement of the ground core piles, all main sensing data acquired by the core piles are acquired, and the slope soil data is monitored in real time. After the data in the three main directions are obtained, uploading various data to a system, and integrating and early warning the data.

(1) Open-pit mining area stope slope hidden trouble and dangerous part identification detection

The remote sensing recognition technology based on the spaceborne InSAR is adopted, dynamic changes and deformations of the side slope and the periphery of the open-air mining area are macroscopically mastered through the periodic data analysis of the wide-area InSAR remote sensing, and meanwhile, the remote non-contact scanning technologies such as foundation InSAR, three-dimensional laser scanning and the like are adopted for carrying out site safety vibration detection, high-precision dynamics and small strain detection, so that potential hidden danger and dangerous parts of the side slope and the periphery of the side slope are comprehensively recognized.

1) Periodically acquiring primary satellite-borne SAR data, and processing and analyzing the InSAR data;

2) Three-dimensional laser scanning data acquisition and analysis of stope slopes are carried out regularly;

3) And periodically analyzing the monitoring data of the side slope radar, and combining the InSAR data and the three-dimensional laser scanning data to form the identification and detection of hidden danger and dangerous parts of the stope side slope.

(2) Evaluation model and instability early warning model of open-pit slope

And establishing a dynamic characteristic-based slope stability evaluation model, a dynamic characteristic-based slope treatment effect evaluation model, a dynamic and motion characteristic-based slope instability early warning model and a displacement rate ratio-based slope instability early warning model.

1) Establishing slope stability evaluation model based on dynamic characteristics

(1) And establishing a slope dynamics characteristic model aiming at the structural characteristics and the physical and mechanical characteristics of the slope of the open-pit mining area. Based on the relation between the dynamic characteristics of stope slopes and the stability of slope dangerous rock blocks. Meanwhile, the relation between the dynamic characteristic parameters of the dangerous rock blocks of the side slope and the damage degree of the side slope, such as the maximum speed corresponding to the natural vibration frequency, the particle track, the damping ratio and the natural vibration frequency, is further analyzed, and a model is built.

(2) And establishing a quantitative or qualitative relation between the side slope dynamic characteristic-side slope cohesive force damage degree, side slope dangerous rock block shear strength (anti-overturning moment) and side slope safety coefficient based on a limit balance method and side slope dynamic characteristics.

(3) And (3) establishing a wireless vibration sensor-based slope remote real-time on-line monitoring and early warning method, realizing the remote real-time on-line monitoring of the strip mine slope, implanting a slope stability model, and realizing early warning of slope instability.

2) Side slope unstability early warning model based on power and motion characteristics

Aiming at a typical structural mode of a slope rock mass of an open-pit mining area, key dynamics and kinematic characteristic evolution rules and stage characteristics of the instability evolution process of three types of slopes including a sliding type slope, a caving type slope and a collapse type slope are researched, and a slope instability early warning model based on a measurable index is established.

3) Slope instability early warning model based on displacement rate ratio

And (3) analyzing the dynamic change characteristics and trend of the slope surface displacement based on the obtained slope deformation monitoring result of the strip mine IBIS-FM slope radar, and establishing deformation space characteristics and an early warning prediction model. Judging the deformation state of each point on the slope body by adopting a relative displacement rate ratio index, adopting the relative displacement rate ratio as a slope stability space evaluation prediction index, providing a quantitative standard for slope deformation phase division, solving the limitation of predicting the overall stable state of the slope by adopting single-point displacement rate and deformation curve tangential angle early warning, and obtaining the standard for dividing the deformation state by the relative displacement rate ratio; and carrying out space deformation characteristic evaluation and early warning prediction model establishment of the side slope based on the multipoint relative displacement rate ratio distribution map.

(3) Establishing triad slope monitoring, grading and early warning system for stope of open-air mining area

Based on intelligent dynamic sensing such as micro-motion intelligent sensing, micro-transformation intelligent sensing and the like and conventional crack meters, underground water level meters, stress meters, anchor cable meters and the like, a three-dimensional space-time sensing network and a multi-dimensional index monitoring system are formed by combining the existing slope radar displacement monitoring equipment, and a trinity slope grading early warning system is established.

Referring to fig. 2, an execution flow of the trinity slope safety monitoring system provided by the invention is shown. The system comprises a display module, a comprehensive query module, a statistical analysis module, a system management module, a database module and a data acquisition module. The display module is built based on technologies such as a three-dimensional engine, big data and cloud computing, integrates data such as aerospace remote sensing, ground monitoring, real-time weather, geological models and the like, realizes intelligent analysis based on a safety perception model library, and provides services such as safety situation evaluation, disaster monitoring, dangerous situation early warning, command decision and the like; the comprehensive query module is used for accurately querying the monitoring data, the early warning data and the slope radar data through multiple dimensions; the statistical analysis module automatically generates a monitoring report according to expert analysis and judgment of the multisource data fusion analysis set, and provides archiving and warehousing for managing and controlling all data of projects and operation and maintenance; the system management module comprises functions of comprehensively managing the total point and the line (monitoring area, monitoring section and monitoring point) of the system and managing users.

1. Display module

The main functions of the display module are as follows:

1. display slope partition risk assessment

Based on multi-source data fusion analysis, comprehensive evaluation is given regularly for the slope subareas, the comprehensive evaluation comprises risk grades, risk indexes and the like, and the three-dimensional space position information is collected to display the current states of all subareas.

And according to historical data and expert evaluation grade data in system management, calculating the risk grades and the number of all slopes by using the latest updated data recorded in the database. And displaying the current level and risk index of each partition according to the evaluation content in the recently updated data.

2. Slope partition overview

And carrying out real-time positioning and data viewing by combining three-dimensional scenes according to different slope partition risk indexes of the strip mine, the running conditions of monitoring equipment and early warning condition statistics.

And displaying the corresponding names and risk grades of the slopes, counting the current slope risk indexes, monitoring equipment, equipment online rate and current day early warning data, and displaying all monitoring roll names, states and monitoring profile information under the current subarea in the form of a list and the like. Clicking a slope partition to expand and display a monitoring point list under the partition, and positioning the monitoring point list to the partition in a map to display a partition profile; clicking the corresponding monitoring point to locate the monitoring point position, and displaying the monitoring point profile.

3. Early warning management

The early warning management unit mainly comprises index early warning, safety early warning and model early warning, and early warning data are received in real time, combined with space position real-time positioning analysis and timely displayed.

(1) Index early warning

Judging whether the current data threshold reaches the red, orange, yellow and blue four-level early warning or not through a calculation module according to the data transmitted by the sensor; the display content comprises early warning time (reverse display, real-time refreshing), monitoring area name and warning information; clicking can jump to the corresponding subarea to check the sitting position of the early warning and the detailed information of the specific early warning.

(2) Model early warning

Integrating an open pit mine slope safety early warning model algorithm, calculating the current slope stability according to a large amount of data, outputting the safety degree at regular time, judging whether the early warning level is reached according to the safety degree value, and mainly comprising red, orange, yellow and blue four-level early warning; clicking can jump to the corresponding subarea to check the sitting position of the early warning and the detailed information of the specific early warning.

(3) Safety pre-warning

Professional operation and maintenance personnel synthesize slope multisource monitoring data and expert analysis opinions, comprehensively issue safety early warning information, and the safety early warning information supports the forms of mobile phone APP real-time receiving, short message receiving and the like; the method comprises the steps of publishing time, monitoring area names and warning information; clicking can jump to the corresponding subarea to check the sitting position of the early warning and the detailed information of the specific early warning.

(4) History early warning

Aiming at all recorded multidimensional query functions (such as time, slope partition, monitoring points, early warning grades, treatment states and the like) of index early warning, model early warning and safety early warning, data compilation and derivation are supported.

4. Static and dynamic deformation monitoring

(1) GNSS displacement

Recent GNSS device XYZ three-axis displacement trend statistics (units: mm) are displayed.

(2) Micro-motion monitoring

And displaying important index trend statistics (unit: mm) such as the inclination angle, the vibration impact and the acceleration of the recent inching monitoring equipment according to the section.

(3) Deep displacement

And displaying displacement data of each node monitored by each time period of the flexible inclinometer, and viewing displacement trends (unit: mm) of different time periods.

(4) Slope radar

And (3) checking the latest scanning result data display of the slope radar, and clicking and amplifying a bullet frame to display specific displacement data.

(5) Water damage monitoring

And checking recent key index data collected by the water damage monitoring equipment.

(6) Environmental quantity monitoring

And checking recent key index data acquired by environment quantity monitoring equipment (such as the water content of a rain gauge, and the like).

5. Multisource data fusion display

In the invention, data such as aerospace remote sensing, ground monitoring, real-time weather, DEM and the like are collected here; the comprehensive analysis is carried out on the slope safety more intuitively and fully in a point-line-surface display form. The main functions include:

(1) InSAR data presentation

The settlement condition data analysis result of the key area can be displayed in a switching manner in the map; scanning the processed data and the variation condition; the line of sight accumulates sedimentation. And combining and displaying various data with the terrain and image data.

(2) Laser point cloud data

And integrating and displaying the point cloud data analysis result and the processed displacement point cloud data graph.

(3) Slope radar data

And displaying the data of the slope radar scanning surface, and viewing the scanning images of different types of different time points without subdivision areas, so as to support zoom viewing.

(4) GNSS data

Positioning each monitoring point of the GNSS, clicking to check GNSS detailed data, monitoring point basic information early warning information and the like.

(5) Micro-motion data

And positioning each monitoring point of the micro-movement, clicking to check the detailed data of the micro-movement, the basic information early warning information of the monitoring points and the like.

(6) Deep bit shift data

And positioning each monitoring point of deep displacement, clicking to check detailed data of deep displacement, basic information early warning information of the monitoring points and the like.

(7) Plan view of open-pit mine engineering

The engineering plan data on the mine can be simultaneously overlapped and displayed and updated periodically.

(8) Topographic data

And overlapping the strip mine elevation point data and the image data for fusion processing, so as to form topographic data, and viewing coordinates of the moving point of the mouse and the elevation data in real time.

2. Comprehensive inquiry module

The module is mainly used for the query function of key information in a user system, and comprises the following steps:

1. monitoring data queries

Based on time, slope partition, monitoring profile and monitoring point tree structure query, and further supports data summarization and output.

(1) Data list

The list display content includes: monitor name, device ID, device type, data type, index name, value, upload time.

(2) Querying

Fuzzy inquiry according to the slope partition name, the monitoring point name and the equipment ID is supported; support importing data for compilation according to a query structure.

(3) Interaction

The slope partitions and the monitoring points can be inquired and positioned through a tree structure, and the slope partitions and the monitoring points can be inquired according to time types.

2. Early warning data query

And inquiring the history early warning basic information and the early warning detailed information according to the time and the early warning type.

(1) Data list

The list display content includes: early warning level (red orange and yellow blue), early warning index, warning information, early warning time, treatment state, region (monitoring point position), side slope partition, monitoring point, equipment ID, monitoring type and detail (same as the early warning detail of a picture).

(2) Querying

Support according to the fuzzy inquiry of keyword (slope partition name, monitoring point name, apparatus ID), early warning level screening, disposition status screening; time inquiry (screen by date, today, three days, week, month).

3. Slope radar data query

And importing the slope radar result data into the system in batches, wherein the result data comprises compressed files and single file formats, and summarizing according to the types of the data files.

(1) Data list

Comprising: file name, data type, remark, responsible, lead-in time.

(2) Querying

Support query retrieval (filename, data type, responsible person) based on keywords.

(3) Interaction

The method and the device support batch importing of the slope radar data in the form of multiple files or folders, automatically generate monitoring data of all time points, view the data presentation by clicking details, and support zoom viewing.

3. Statistical analysis module

Based on the data record of the system, carrying out statistical analysis on the data, and outputting a statistical analysis result. Comprising the following steps:

1. monitoring report

According to the trinity multisource data fusion analysis, a monitoring report is generated based on date or period requirements, wherein the monitoring report comprises single project conditions, latest analysis conditions of different monitoring modes, statistics conditions of data of each monitoring point position and the like. Preferably, dates are queried in a tree structure.

2. Archive reporting

And classifying the projects and project progress data in the system, and supporting the downloading of data materials.

4. System management module

The method is mainly used for unified management of system basic functions, files and the like. Comprising the following steps:

1. monitoring area management

And drawing data management aiming at slope basic information, address information management and dot line and plane drawing data management.

(1) Data list

The method comprises the steps of monitoring area names, types, contacts, live-action pictures (clicking to view pictures and supporting switching), professional layout pictures (clicking to view pictures and supporting switching) and monitoring point data (statistically associating monitoring points).

(2) Adding a monitoring area

Contains basic information: name, type, disaster scale, stability, center point coordinates, range drawing, contacts (mobile phone numbers), affiliated counties, description, live-action map management, professional layout map management, custom fields (which can be used for uploading geological information, etc.).

(3) Set profile

Different monitoring profiles under the monitoring area can be added to correlate related monitoring points.

(4) Drawing a dot line and a plane

The specific coordinate positions of all the monitoring points can be adjusted to carry out direct dragging; section lines can be drawn according to the monitoring section to be connected with the monitoring points; the monitoring range can be drawn to represent the slope partition range.

(5) Risk assessment

And (3) an expert periodically gives slope partition risk evaluation according to multi-source data fusion analysis, and supports the setting of grades, indexes, evaluation time, risk summary and graphic details.

2. Monitoring point management

And the comprehensive management of information data including basic information of monitoring points, survey information, installation information, geological information and the like.

(1) Data list

Comprising: monitoring point name, monitoring point type, belonging area, remark, device binding status, device ID, device type, online status (support screening).

(2) Information of pedal investigation

The survey information (click pop-up details include design position, survey person, survey explanation, survey photograph, and uploading at the time of data source applet survey).

(3) Installation information

The method comprises the steps of installing positions, position states, installers, installing time, project managers, supplementing files, installing instructions, adjusting position instructions, installing live-action photos and online signature photos.

(4) Monitoring point details

And displaying the detailed data of the monitoring points and the field video data of the monitoring points.

(5) Setting the type of the monitoring point

The monitoring point type can be set for distinguishing different display forms (including GNSS, micro-motion, deep displacement, slope radar, snapshot camera and environment quantity monitoring) without monitoring means, and the earth 2000 coordinate is calibrated.

3. User management

Mainly comprises management of system user roles.

(1) Data list

Comprising: name, phone number, role, job position, creation time, last login time.

(2) Creating a user

Name (necessary to fill), phone number (necessary to fill), password (necessary to fill), role (necessary to select), position (selected to fill).

5. Database module

The database module sets 5 database units based on the system data category: space library, monitoring library, basic library, business library and thematic analysis library.

The space library is used for storing and managing space geographic information data, including space data, attribute data, thematic layer data and metadata, of reservoirs in a river basin range, which are needed for presentation and thematic analysis, in the space information map.

The basic library is used for storing and managing basic information which needs to be used in processing business of each application system, and comprises a basic information library, an index information library, a public code information library, a metadata library and the like of safety monitoring equipment, reservoir hidden danger and the like.

The business library is used for providing data management and support for the business application system and storing business process information and business result information generated in the business application system processing business process, including early warning values of all monitoring stations and the like.

The thematic analysis library is a special database oriented to running analysis, and the data of the thematic analysis library is derived from a basic information library and a business information library, but the organization form of the thematic analysis library is different from that of the basic information library and the business information library. In order to facilitate analysis of service data, basic data and service data related to an analysis subject are extracted, the data structure is changed, and a dimension table for representing analysis latitude is added, so that the constructed analysis display library can conveniently carry out multi-level deep analysis on the data according to the dimension table. The thematic library comprises the following specific contents: a meteorological homeland database, a rainwater condition database, a construction condition information database, a dam safety information database, a flood control plan information database, a graphic image database, a space database and the like.

The data processing link mainly comprises four sub-links of data preprocessing, data extraction, data processing and data loading.

(1) Data preprocessing

The data preprocessing mainly comprises two steps: and (5) data analysis fusion and data caching. Firstly, data is preprocessed from a source system through a preset exchange mechanism by a data analysis fusion module of the system, if terminal monitoring point data needs to be analyzed, the data is stored in a memory data buffer area. The method has the advantages that the data in the buffer area is firstly inquired when the real-time dynamic data is called, so that the timeliness of the real-time data display is easy to improve.

(2) Data extraction

The extraction of data processing emphasizes batch data extraction, and the data exchanged by the source system can be captured in a trigger mode and filtered according to the engineering data requirement after the data is acquired. Not all data of each service system is required, but part of the table and corresponding field data. After the data extraction link is completed, the acquired data enters a data processing link.

(3) Data processing

After the extraction of the data is completed, the logic arrangement of the data processing components is completed according to the planned data processing mode. The data cleansing operation is to discard "dirty" data that does not meet the data format requirements. The main construction goal of the data processing link is to establish a data mapping relation among the data and complete a data fusion and association process among a plurality of database tables.

(4) Data loading

The data loading is a process of loading data after batch processing into a database, and the process takes data warehousing efficiency as a core. Meanwhile, the loaded database design needs to be integrated into the whole data processing link, and all data processing results need to be associated with the table structure of the destination database one to one.

In another preferred embodiment, in conjunction with fig. 2, the system provided by the present invention has the following main data and monitoring flows:

based on a basic method of slope safety control, analyzing engineering geological data and rock mechanics to form a slope stability model;

based on the slope stability model, combining the slope radar data, the InSAR data, the landmark deformation monitoring data and the deep displacement monitoring data, and performing safety stability judgment through comparison and analysis;

meanwhile, early recognition and early warning are carried out on slope instability based on slope radar data, inSAR data, landmark deformation monitoring data and deep displacement monitoring data;

and uniformly transmitting the results of the safety stability judgment and the instability early warning judgment to a system, storing and displaying early warning information, and transmitting the early warning information when the conditions are met.

In yet another embodiment, the present solution may be implemented by means of an apparatus, which may include corresponding modules performing each or several of the steps in the above embodiments. Thus, each step or several steps of the various embodiments described above may be performed by a corresponding module, and the apparatus may include one or more of these modules. A module may be one or more hardware modules specifically configured to perform the respective steps, or be implemented by a processor configured to perform the respective steps, or be stored within a computer-readable medium for implementation by a processor, or be implemented by some combination.

The apparatus may be implemented using a bus architecture. The bus architecture may include any number of interconnecting buses and bridges depending on the specific application of the hardware and the overall design constraints. The bus connects together various circuits including one or more processors, memories, and/or hardware modules. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, external antennas, and the like.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiment of the present invention. The processor performs the various methods and processes described above. For example, method embodiments in the present solution may be implemented as a software program tangibly embodied on a machine-readable medium, such as a memory. In some embodiments, part or all of the software program may be loaded and/or installed via memory and/or a communication interface. One or more of the steps of the methods described above may be performed when a software program is loaded into memory and executed by a processor. Alternatively, in other embodiments, the processor may be configured to perform one of the methods described above in any other suitable manner (e.g., by means of firmware).

Logic and/or steps represented in the flowcharts or otherwise described herein may be embodied in any readable storage medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (10)

1. The utility model provides a three in one side slope monitoring hierarchical early warning system in opencut stope, its characterized in that, the system includes: the system comprises a data acquisition module, a display module, a comprehensive query module, a statistical analysis module, a system management module and a database module;

the data acquisition module acquires three types of data: inSAR remote sensing data to identify basic data for open-pit mining area safety conditions; the foundation InSAR and the three-dimensional laser scanning data are used for detecting slope data of an open-pit mining area at the surface level; ground pile data, acquired from pile sensing data;

the display module is used for displaying the results obtained by processing and analyzing various data acquired by the data acquisition module and real-time data;

the comprehensive query module is used for accurately querying the monitoring data, the early warning data and the slope radar data;

the statistical analysis module generates a monitoring report according to the multi-source data fusion analysis set, and files and stores the data based on project and operation and maintenance requirements;

the system management module is used for managing the monitoring area, the monitoring section and the monitoring point related in the system and managing users;

the database module comprises a space library, a monitoring library, a basic library, a business library and a thematic analysis library and is used for storing different types of data.

2. The system of claim 1, wherein the data acquisition module periodically acquires InSAR remote sensing data, foundation InSAR data and three-dimensional laser scanning data, and the InSAR remote sensing data is combined with the foundation InSAR data and the three-dimensional laser scanning data to identify hidden dangers and dangerous parts of a side slope of the open-air mining area.

3. The system of claim 1, wherein the statistical analysis module is further configured to:

based on the relation between the dynamic characteristics of the slope and the stability of the dangerous rock mass of the slope and the relation between the dynamic characteristic parameters of the dangerous rock mass of the slope corresponding to the maximum speed of the natural vibration frequency and the damage degree of the slope, establishing a slope stability evaluation model:

establishing a slope instability early warning model based on key dynamics and kinematic characteristics of the instability evolution process of three types of slopes, namely a sliding type slope, a caving type slope and a collapse type slope;

based on the obtained slope deformation monitoring result of the strip mine area slope radar, a relative displacement rate ratio is obtained, and a slope instability early warning model is established based on the relative displacement rate ratio and a slope stability space evaluation index.

4. The system of claim 1, wherein the presentation module further comprises:

according to the historical data and expert evaluation grade data in the system management module, the latest historical data and expert evaluation grade data recorded in the database module are used for counting the risk grades and the number of all slopes, and the current grade and the risk index of each partition are displayed;

and displaying the names and risk grades of all the partitions, counting the current side slope risk index, monitoring equipment, equipment online rate and current day early warning data, and displaying all monitoring roll names, states and monitoring profile information under the current partition.

5. The system of claim 1, wherein the display module further comprises an early warning management unit that receives and displays an indicator early warning, a safety early warning, a model early warning;

the index early warning is used for displaying early warning grades and comprises early warning time, monitoring area names and warning information;

the model early warning is carried out, the safety degree is output regularly according to the stability of the current slope, and the early warning level is judged according to the safety degree;

and the safety early warning is realized, slope multisource monitoring data and expert analysis opinion are synthesized, and safety early warning information is comprehensively released.

6. The system of claim 1, wherein the presentation module is further configured to present the multisource data fused data, comprising:

InSAR data display, including regional settlement condition data analysis result display, scanning data and variation condition display, and sight line cumulative settlement;

laser point cloud data, which displays laser point cloud data and displacement point cloud data;

slope radar data, displaying scanning data of the slope radar;

GNSS data, which displays GNSS positioning data of each monitoring point;

micro-motion data showing micro-motion data of each monitoring point;

and deep displacement data of each monitoring point and monitoring area topographic data.

7. The system of claim 1, wherein the integrated query module comprises:

the monitoring data query unit queries monitoring point monitoring data in a tree structure based on a monitoring data list, wherein the monitoring data list comprises a monitoring name, an equipment ID, an equipment type, a data type, an index name, a numerical value and uploading time;

the early warning data query unit queries early warning data information according to keywords based on an early warning data list, wherein the early warning data list comprises early warning levels, early warning indexes, warning information, early warning time, treatment states, monitoring point positions, side slope partitions, monitoring points, equipment IDs, monitoring types and details;

and the slope radar data inquiry unit is used for receiving the slope radar result data file, inquiring the detail of the slope radar data according to the key words based on the slope radar data list, wherein the slope radar data list comprises file names, data types, importing time and responsible person information.

8. The system of claim 1, wherein the statistical analysis result output by the statistical analysis module comprises:

the monitoring report comprises single project conditions, latest analysis conditions of different monitoring modes and data statistics conditions of all monitoring points; inquiring the monitoring report date in a tree structure mode;

and the archive report is formed in a classification mode for the projects and project progress data stored in the system.

9. The system of claim 1, wherein the system management module comprises:

the monitoring area management unit is used for collecting monitoring area names, types, live-action graphs, professional layout graphs and monitoring point data; when a new monitoring area is added, acquiring the name, type, disaster scale, stability, center point coordinates, range drawing and custom fields of the newly added monitoring area; the method is also used for setting a monitoring profile and associating monitoring points related to the monitoring profile;

the monitoring point management unit is used for setting the type of the monitoring point and summarizing the name, the type of the monitoring point, the area to which the monitoring point belongs, the binding state of equipment, the ID of the equipment, the type of the equipment, the on-line state, the stepping investigation data and the installation information data;

and the user management unit is used for managing the user authority and the user information.

10. The system of claim 1, wherein the database module performs data preprocessing, data extraction, data processing, and data loading on the stored data;

the data preprocessing is carried out, the data is analyzed from a data source, and the analyzed data is stored in a cache area;

the data extraction is carried out, the preprocessed data is subjected to data grabbing according to the system requirement, the grabbed data is filtered, and a data processing link is entered;

the data processing comprises data cleaning and rewarding the data mapping relation among the data to finish the fusion and association among the data tables;

and loading the data after data processing into a database, wherein the results of all data processing and the table structure in the database meet one-to-one association.