CN117253341A - Road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology - Google Patents
Road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology Download PDFInfo
- Publication number
- CN117253341A CN117253341A CN202310986284.5A CN202310986284A CN117253341A CN 117253341 A CN117253341 A CN 117253341A CN 202310986284 A CN202310986284 A CN 202310986284A CN 117253341 A CN117253341 A CN 117253341A
- Authority
- CN
- China
- Prior art keywords
- data
- monitoring
- slope road
- maintained
- monitoring point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 210
- 238000005516 engineering process Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000012423 maintenance Methods 0.000 claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 30
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000013439 planning Methods 0.000 claims abstract description 5
- 230000008520 organization Effects 0.000 claims description 29
- 230000007613 environmental effect Effects 0.000 claims description 25
- 230000006870 function Effects 0.000 claims description 25
- 230000005540 biological transmission Effects 0.000 claims description 16
- 230000000007 visual effect Effects 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 10
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 238000012986 modification Methods 0.000 claims description 6
- 230000004048 modification Effects 0.000 claims description 6
- 238000012790 confirmation Methods 0.000 claims description 4
- 238000012800 visualization Methods 0.000 claims description 3
- 230000008447 perception Effects 0.000 claims description 2
- 238000007726 management method Methods 0.000 description 24
- 238000010586 diagram Methods 0.000 description 11
- 238000006073 displacement reaction Methods 0.000 description 7
- 230000010354 integration Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 238000013523 data management Methods 0.000 description 3
- 230000036541 health Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 238000012098 association analyses Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 208000025274 Lightning injury Diseases 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000001212 derivatisation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000005389 magnetism Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Alarm Systems (AREA)
Abstract
The invention provides a road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology, wherein the method comprises the following steps: deploying monitoring equipment at each slope road deformation monitoring point; when the analysis result exceeds the monitoring alarm threshold value, generating alarm information; based on the position information acquired by the Beidou positioning device, planning a path reaching a slope road deformation monitoring point to be maintained and performing lane-level navigation; if the slope road deformation monitoring point position to be maintained cannot be reached, starting the equipped unmanned aerial vehicle to acquire an aerial image; otherwise, acquiring the data related to the deformation monitoring point positions of the slope road to be maintained; generating a maintenance scheme, and scheduling maintenance personnel nearest to the slope road deformation monitoring point position to be maintained to maintain the slope road deformation monitoring point position to be maintained based on the maintenance scheme. The invention can realize omnibearing and accurate monitoring and processing.
Description
Technical Field
The invention relates to the technical field of remote sensing and Internet of things fusion, in particular to a road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology.
Background
The occurrence frequency of the geological disasters in China is high, the distribution area is wide, the damage is large, and the method is one of countries with the most serious geological disasters in the world. The frequent areas of geological disasters are mainly concentrated in remote mountain areas, the data acquisition and long-term monitoring systems in the areas are imperfect, and the disaster resistance capability is very fragile.
For road slopes, the stability influencing factors generally include stratum and lithology characteristics, geologic structure characteristics, topography and geomorphology characteristics, urban road slope structure type characteristics, climate hydrogeologic characteristics and other influencing factors. Slope instability accidents occur in some areas, and huge economic losses and influences are caused. The analysis of the reasons for these accidents is complex, such as the influence of natural forces (earthquakes, storms, etc.) and ergonomic activities on the slope, which results in the influence of soil mass and eventually instability. Or the existing supporting structures (supporting structures and the like) age to be incapable of resisting the impact of unstable soil bodies, so that disasters occur. If the states of the side slope and the supporting structure can be monitored, the health conditions of the side slope and the supporting structure are evaluated, and early warning is sent out before the disaster comes, so that the occurrence probability of the disaster is greatly reduced.
Disclosure of Invention
In order to solve the technical problems, the invention provides a road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology, which are used for solving the technical problems of incomplete road domain disaster monitoring and untimely early warning in the prior art.
According to a first aspect of the invention, a road domain disaster monitoring and early warning method based on Beidou and high-resolution remote sensing technology is provided, and the method comprises the following steps:
step S1: analyzing and obtaining a plurality of slope road deformation monitoring points based on the historical disaster data, and deploying monitoring equipment at each slope road deformation monitoring point;
step S2: analyzing the data obtained by detection of the monitoring equipment, and generating alarm information when the analysis result exceeds a monitoring alarm threshold value, so as to trigger a duty personnel equipped with the unmanned aerial vehicle and the emergency communication equipment;
step S3: planning a path reaching a slope road deformation monitoring point to be maintained for the duty personnel and performing lane-level navigation based on the position information acquired by the Beidou positioning equipment;
step S4: if the duty personnel cannot reach the slope road deformation monitoring point position to be maintained, starting the unmanned aerial vehicle by the duty personnel, and obtaining an aerial image related to the slope road deformation monitoring point position to be maintained by the unmanned aerial vehicle to reach the slope road deformation monitoring point position to be maintained, and entering step S5; otherwise, the duty personnel arrive at the slope road deformation monitoring point position to be maintained, the data related to the slope road deformation monitoring point position to be maintained is obtained, and the step S5 is entered;
step S5: and the command center generates a maintenance scheme based on the aviation image or the data related to the slope road deformation monitoring point position to be maintained, and dispatches maintenance personnel nearest to the slope road deformation monitoring point position to be maintained to maintain the slope road deformation monitoring point position to be maintained based on the maintenance scheme.
Preferably, based on the geographical information of the slope road deformation monitoring point location to be maintained, determining an influence area of the slope road deformation monitoring point location to be maintained, generating a notification prompting the vehicles in the influence area to avoid danger while generating alarm information, and notifying the vehicles in the influence area of the notification prompting the vehicles to avoid danger.
According to a second aspect of the present invention, there is provided a road domain disaster monitoring and early warning system based on the beidou and high-resolution remote sensing technology, the road domain disaster monitoring and early warning system based on the beidou and high-resolution remote sensing technology is used for executing the road domain disaster monitoring and early warning method based on the beidou and high-resolution remote sensing technology as described above, and the system includes:
a perception layer, a transmission layer and an application layer;
the sensing layer is used for acquiring monitoring data of deformation monitoring points of the side slope road, the monitoring data comprise strain monitoring data, vibration monitoring data, environment temperature data and environment humidity data of the deformation monitoring points of the side slope road, and the strain monitoring data, the vibration monitoring data, the environment temperature data and the environment humidity data are acquired;
the transmission layer is used for transmitting the acquired strain monitoring data, vibration monitoring data, environment temperature data and environment humidity data to the application layer;
the application layer is used for acquiring, storing and analyzing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data, generating alarm information and scheduling duty personnel, receiving the aviation image and/or the data related to the slope road deformation monitoring point position to be maintained, generating a maintenance scheme, and scheduling maintenance personnel nearest to the slope road deformation monitoring point position to be maintained.
Preferably, the application layer comprises a database subsystem, a data processing and control system, a safety evaluation and early warning subsystem, a scheduling subsystem and maintenance subsystem, a visual interface, an expansion interface and a sharing interface, wherein the application layer provides the visual interface, the expansion interface and the sharing interface, and the database subsystem is used for storing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data; the data processing and controlling system is used for integrating, analyzing and managing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data; the safety evaluation and early warning subsystem is used for generating alarm information; the scheduling subsystem is used for scheduling duty personnel; the temple for the maintenance subsystem receives the aerial image and/or data related to the slope road deformation monitoring point position to be maintained, and generates a maintenance scheme; the visual interface provides a multi-angle, multi-level visual view for a user, the expansion interface is used for providing subsequent expansion functions, and the sharing interface is used for providing shared data.
Preferably, the sensing layer comprises a sensor subsystem and a data acquisition subsystem; the sensor subsystem is used for acquiring strain monitoring data, vibration monitoring data, environmental temperature data and environmental humidity data of the slope road deformation monitoring point in real time; the data acquisition subsystem is used for acquiring the strain monitoring data, the vibration monitoring data, the environment temperature data and the environment humidity data.
Preferably, the application layer provides a web interface and a mobile terminal interface, the web interface is used for providing a data processing function module on a web page, and the mobile terminal interface is used for providing a data processing function module on a mobile terminal. The data processing function module provides one or more of data processing, analysis, presentation, and maintenance scheme generation functions to a user according to user rights.
Preferably, in the database subsystem, a data hierarchical classification system is established, corresponding metadata extensible definition organization models are established for different systems, and the extended definition and the definition update of the data types are performed.
Preferably, in the database subsystem, a space-time model based on a unified geocoding framework is established, and the time is calibrated by the acquisition time and the event time of the monitoring data.
Preferably, in the database subsystem, multi-source data organization association based on time, space and target system is established, and adjustment and expansion of target metadata definition and association relation among targets are supported; establishing an active discovery and automatic updating strategy of the association relation, and supporting manual establishment, manual confirmation and modification; and establishing a data organization model based on the association relation, and supporting target data organization based on a time axis.
The foregoing description is only an overview of the present invention, and is intended to provide a better understanding of the present invention, as it is embodied in the following description, with reference to the preferred embodiments of the present invention and the accompanying drawings.
Advantageous effects
The intelligent traffic monitoring system utilizes aviation images, beidou satellite position data, intelligent Internet of things, converged communication and other technologies to monitor the running states of traffic infrastructures such as middle and large bridges, slopes and the like, and is a part of intelligent traffic construction. The monitoring objects of the traffic infrastructure health monitoring system are mainly middle and large bridges, high slopes and the like, and structures with strong demands for surface displacement monitoring are mainly used.
And (3) deploying slope detection equipment on a detection road section, sending the position information of the monitoring point to a data processing server deployed in a command center by the detection equipment through a 4G/5G communication network, providing original data for an alarm server after operations such as rough error rejection and error correction by the data processing server, carrying out short message, mail, acousto-optic and the like on information exceeding a threshold range by the alarm server, and finally carrying out coordinated treatment by a dispatching command center.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, illustrate the invention and together with the description serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a road domain disaster monitoring and early warning method based on Beidou and high-resolution remote sensing technology according to an embodiment of the invention;
fig. 2 is a schematic diagram of a road domain disaster monitoring and early warning method architecture based on Beidou and high-resolution remote sensing technology according to an embodiment of the present invention;
fig. 3 is a detailed flow diagram of a road domain disaster monitoring and early warning method based on Beidou and high-resolution remote sensing technology according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a road domain monitoring interface according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a road domain disaster monitoring and early warning system design boundary based on the Beidou and high-resolution remote sensing technology according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of an alarm management module according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a data management module according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of an alarm monitoring module according to an embodiment of the present invention;
FIG. 11 is a schematic diagram of a data analysis module according to an embodiment of the present invention;
FIG. 12 is a schematic diagram of a system management module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to specific embodiments of the present invention and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, 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.
Firstly, a road domain disaster monitoring and early warning method based on Beidou and high-resolution remote sensing technology according to one embodiment of the invention is described with reference to fig. 1-3. The method is a road domain disaster monitoring and early warning method integrating aerial images and Beidou position information, and comprises the following steps of:
step S1: analyzing and obtaining a plurality of slope road deformation monitoring points based on the historical disaster data, and deploying monitoring equipment at each slope road deformation monitoring point;
step S2: analyzing the data obtained by detection of the monitoring equipment, and generating alarm information when the analysis result exceeds a monitoring alarm threshold value, so as to trigger a duty personnel equipped with the unmanned aerial vehicle and the emergency communication equipment;
step S3: planning a path reaching a slope road deformation monitoring point to be maintained for the duty personnel and performing lane-level navigation based on the position information acquired by the Beidou positioning equipment;
step S4: if the duty personnel cannot reach the slope road deformation monitoring point position to be maintained, starting the unmanned aerial vehicle by the duty personnel, and obtaining an aerial image related to the slope road deformation monitoring point position to be maintained by the unmanned aerial vehicle to reach the slope road deformation monitoring point position to be maintained, and entering step S5; otherwise, the duty personnel arrive at the slope road deformation monitoring point position to be maintained, the data related to the slope road deformation monitoring point position to be maintained is obtained, and the step S5 is entered;
step S5: and the command center generates a maintenance scheme based on the aviation image or the data related to the slope road deformation monitoring point position to be maintained, and dispatches maintenance personnel nearest to the slope road deformation monitoring point position to be maintained to maintain the slope road deformation monitoring point position to be maintained based on the maintenance scheme.
Further, based on the geographic information of the slope road deformation monitoring point position to be maintained, determining an influence area of the slope road deformation monitoring point position to be maintained, generating a notification prompting vehicles in the influence area to avoid danger while generating alarm information, and notifying the vehicles in the influence area of the notification prompting the vehicles to avoid danger.
As shown in fig. 4, the invention provides a specific embodiment of a road domain disaster monitoring and early warning method based on Beidou and high-resolution remote sensing technology.
(a) And according to the analysis of the historical disaster condition, selecting a proper position for deployment of the slope road deformation monitoring equipment on the key road section.
(b) After the deployment of the slope road deformation monitoring equipment is completed, the monitoring point displacement information is sent to system software of a command center through the wireless communication module.
(c) The system software sets the monitoring alarm threshold, if the displacement deformation of the monitoring point exceeds the set threshold, the system automatically generates an alarm and prompts the alarm in the modes of mail, short message, sound and light and the like.
(d) After the command center obtains disaster occurrence information through system alarms or other channels, the nearest duty personnel is scheduled to drive a car (carrying an unmanned aerial vehicle and emergency communication equipment) to a disaster site according to the digital earth visual display system, and system software can provide optimal path planning and lane-level navigation for the duty personnel based on Beidou high-precision positioning equipment. And simultaneously, alarming the key operation vehicles in a specific range, and commanding and avoiding danger for the vehicles in the range of the area.
(e) If the on-duty vehicle cannot be started to the scene due to road blockage and the like, the vehicle can be parked nearby and the unmanned aerial vehicle can be dispatched to execute the aerial photography task. By means of the advantages of good air viewing angle and linear flight of the unmanned aerial vehicle, the unmanned aerial vehicle can rapidly trace the source and reach the disaster occurrence position.
(f) The unmanned aerial vehicle transmits the field situation back to the command center in the modes of pictures, sounds, videos and the like, provides a remote visual scheduling basis for the command center, and the transmitted file is used as a field evidence obtaining material. The dispatching command center makes treatment decisions according to the site conditions, and the treatment is carried out by the cooperation of the duty personnel.
(g) After the disaster influence is fully evaluated by the command center, the command center commands the nearest maintainers and the obstacle-removing vehicles to arrive at the site for disposal according to the digital earth visual display system, and in the process, the optimal route is planned for the vehicle according to the vehicle position information of the position platform, and lane-level navigation is provided.
(h) And after the maintainer arrives at the site, the maintainer rapidly performs corresponding treatment to restore the traffic operation. Meanwhile, according to the damage condition of road domain disaster monitoring equipment, road test deformation monitoring equipment is additionally arranged as appropriate so as to monitor secondary disasters.
(i) After the disaster is treated and the traffic is recovered, the on-duty personnel report to the command center.
As shown in fig. 5-7, the invention provides a road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology, which is used for executing the road domain disaster monitoring and early warning method based on the Beidou and high-resolution remote sensing technology.
The road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology comprises a sensing layer, a transmission layer and an application layer.
The sensing layer is used for acquiring monitoring data of the deformation monitoring points of the slope road, the monitoring data comprise strain monitoring data, vibration monitoring data, environment temperature data and environment humidity data of the deformation monitoring points of the slope road, and the strain monitoring data, the vibration monitoring data, the environment temperature data and the environment humidity data are acquired.
The transmission layer is used for transmitting the acquired strain monitoring data, vibration monitoring data, environment temperature data and environment humidity data to the application layer; the transport layer includes a data transmission subsystem.
The application layer is used for acquiring, storing and analyzing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data, generating alarm information and scheduling duty personnel, receiving the aviation image and/or the data related to the slope road deformation monitoring point position to be maintained, generating a maintenance scheme, and scheduling maintenance personnel nearest to the slope road deformation monitoring point position to be maintained.
The application layer comprises a database subsystem, a data processing and control system, a safety evaluation and early warning subsystem, a scheduling subsystem and a maintenance subsystem, a visual interface, an expansion interface and a sharing interface, wherein the application layer provides the visual interface, the expansion interface and the sharing interface, and the database subsystem is used for storing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data; the data processing and controlling system is used for integrating, analyzing and managing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data; the safety evaluation and early warning subsystem is used for generating alarm information; the scheduling subsystem is used for scheduling duty personnel; the temple for the maintenance subsystem receives the aerial image and/or data related to the slope road deformation monitoring point position to be maintained, and generates a maintenance scheme; the visual interface provides a multi-angle, multi-level visual view for a user, the expansion interface is used for providing subsequent expansion functions, and the sharing interface is used for providing shared data.
Further, the sensing layer comprises a sensor subsystem and a data acquisition subsystem; the sensor subsystem is used for acquiring strain monitoring data, vibration monitoring data, environmental temperature data and environmental humidity data of the slope road deformation monitoring point in real time; the data acquisition subsystem is used for acquiring the strain monitoring data, the vibration monitoring data, the environment temperature data and the environment humidity data.
Further, the application layer provides a web interface and a mobile terminal interface, the web interface is used for providing a data processing function module on a web page, and the mobile terminal interface is used for providing a data processing function module on a mobile terminal. The data processing function module provides one or more of data processing, analysis, presentation, and maintenance scheme generation functions to a user according to user rights.
According to the invention, the situation that the aviation high-resolution image and Beidou high-precision position data are various in sources, different in data formats, various in forms and huge in data quantity, and a multisource massive data organization model suitable for data sharing and distribution is lacked is considered, so that the data value is buried. Establishing an effective data organization and association scheme faces a number of difficulties, including the following:
(1) the data organization and association mode can accommodate and support various types of data with different sources, and the data type expansion and update should be facilitated;
(2) the data organization and the association mode are convenient for the gradual accumulation of the data, bring the application value of the data content into play, associate the historical data and keep the persistence and the effectiveness of the data;
(3) the data organization and the association mode are used for realizing the mutual association between various situations and information data. The array organization reflects the relationship between the targets and the data and also reflects the relationship between the targets;
(4) the data organization and the association mode are convenient for supporting the realization of high-efficiency data retrieval of various means, and provide data retrieval service for users;
(5) the data organization and association mode is used for providing good support for the visualization of the data;
(6) the data organization and association mode is convenient for virtual integration and sharing of data among a plurality of users, and is convenient for data distribution;
(7) the data organization and association should be able to facilitate updating and maintenance.
Further, the method further analyzes the data source, the data type and the data application characteristics in depth, and builds a data organization and association model based on the space-time reference and the target system. Aiming at the difficulties, the specific solution is as follows:
(1) aiming at the characteristics of organization management data, researching and establishing a data hierarchical classification system, establishing corresponding metadata extensible definition organization models aiming at different systems, introducing ideas of object-oriented inheritance, generalization, derivatization and the like, and completing the extension definition and definition update of data types;
(2) the method comprises the steps of researching and establishing a key moving target system, relating to civil national two-passenger-one-danger vehicles, heavy freight trucks and the like comprising a transportation part, establishing the construction of the target system and the decomposition of target system elements, and providing support for data organization association based on the target system;
(3) a space-time model based on a unified geocoding frame is established, the time can be precisely calibrated by using the acquisition time and the event time of the data, and the continuity of the data can be conveniently constructed based on the time information; the spatial information can be accurate spatial position, resolution of remote sensing images, scale of vector map and the like, and mass data are associated and organized through unified space-time reference;
(4) establishing multi-source data organization association based on time, space and a target system, supporting target metadata definition and adjustment and expansion of association relation among targets, and facilitating association and accumulation of historical data based on the targets and the space;
(5) the method comprises the steps of establishing an active discovery and automatic updating strategy of the association relationship, supporting manual establishment, manual confirmation and modification, and facilitating maintenance and updating of the association relationship;
(6) and establishing a data organization model based on the association relation, and supporting target data organization based on a time axis.
Further, in the database subsystem, a data hierarchical classification system is established, corresponding metadata extensible definition organization models are established for different systems, and the extended definition and the definition update of the data types are carried out.
Further, in the database subsystem, a space-time model based on a unified geocoding framework is established, and time is calibrated by acquisition time and event time of monitoring data.
Further, in the database subsystem, multi-source data organization association based on time, space and target system is established, and adjustment and expansion of target metadata definition and association relation among targets are supported; establishing an active discovery and automatic updating strategy of the association relation, and supporting manual establishment, manual confirmation and modification; and establishing a data organization model based on the association relation, and supporting target data organization based on a time axis.
As shown in fig. 8-12, the data processing functional module includes an alarm management module, a data management module, an alarm monitoring module, a data analysis module, and a system management module.
In this embodiment, the alarm management module includes an alarm information sub-module, and indexes key information by different condition structures, alarm time, and the like. The data management module has the functions of structure, communication module, sensor and gnss equipment management. The alarm monitoring module has alarm threshold and alarm notification function, is used for displaying each level of monitoring threshold related to monitoring of the slope bridge, and notifies corresponding personnel when the detection value exceeds the threshold. The data analysis module provides trend analysis, comparison analysis and association analysis functions, and mainly aims at carrying out offset comparison, association analysis and the like on different monitoring objects in different time ranges under the condition of unique offsets in a period of time. The system management module provides user management and department management functions.
According to the road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology, the main parameters of the side slope bridge are monitored and monitored in real time, the line inspection staff is helped to realize the capabilities of real-time data query, intelligent monitoring and analysis and the like, the safety state of the side slope bridge is monitored in real time, and prediction and early warning are carried out. The real-time monitoring technology is adopted to monitor the displacement deformation of the side slope and the change condition of the underground water level, and monitor the rainfall, the internal displacement and the like. Receiving, managing, plotting a curve, alarming and the like monitoring data; and the data sharing of the slope data management center and the data center and the total station data center is satisfied. The invention realizes various functions of the system through mutual coordination of various layers. The road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology comprises a front-end system and a cloud computing center, wherein the cloud computing center provides IT resource support for a big data platform, the front-end system comprises strain monitoring, vibration monitoring, environment temperature and humidity monitoring and the like, relevant state information is acquired, and then through a passing network, interconnection and intercommunication of internal and external information of the system are realized, so that basis is provided for bridge and slope management. The data layer takes the comprehensive analysis capability of big data as a core, relies on front-end equipment and software services, and provides effective data support for supervision and decision-making of management departments through analysis, integration, storage and management of various converged information data. The platform layer comprises a bridge management platform and a hardware platform, wherein the bridge management platform comprises basic functions such as data acquisition, transmission management, data storage management, authority management and the like, bridge structure response and environment on-line monitoring, and an expansion interface is reserved after the platform is built and is in butt joint with each system of a subsequent smart city; the hardware platform comprises equipment management, data acquisition and data transmission functions, and after the data related to the bridge structure and the environmental monitoring data are summarized, the data are transmitted to a PC (personal computer) end in monitoring of an owner side through an operation wireless network. The application layer comprises a Web end and a mobile end, and a user can view various data of the bridge at different terminals according to the authority and complete various supervision matters on line.
The road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology is used for realizing the organic integration of a Beidou satellite system and traffic infrastructure monitoring and early warning, providing safety guarantee information service for each relevant party, and meeting the requirements of each relevant party on traffic industry bridge and side slope operation monitoring.
The road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology is a comprehensive service platform and a local automatic monitoring platform which are oriented to traffic industry and related users, is an infrastructure which is served by Beidou high-precision monitoring service in the traffic and transportation industry, is an automatic system integration application oriented to road slopes and bridges, supports intelligent development of traffic, provides a multi-level and high-reliability satellite monitoring platform and matched application environment, is divided according to functions as shown in fig. 6-7, and comprises an information acquisition subsystem, a data processing subsystem, a platform management subsystem and an early warning subsystem.
The data processing system is a core of a road domain disaster monitoring and early warning system based on Beidou and high-resolution remote sensing technology and is mainly responsible for completing the processing of various information, generating service information, early warning information, processing real-time Beidou data resolving, and the data acquisition subsystem, the platform management subsystem, the early warning and evaluation system belong to the structures of user management, data storage, system monitoring, information distribution, early warning analysis and the like.
The content of the road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology for monitoring the road domain disaster is shown in the following table:
the sensor subsystem is used as a part of a sensing layer of the road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology, is a basic part of the whole monitoring system, and can provide real, real-time and reliable health monitoring data for each monitoring item of a monitoring structure under severe conditions. The sensor subsystem converts the structural changes into other signals, such as sound, light, electricity, magnetism and the like, quantifies the structural changes, converts the structural changes into values familiar to people and the like, and accordingly knows the stress, other parameters and the like of the structure.
The data acquisition and transmission subsystem meets the requirements of automatic, continuous and real-time data acquisition and transmission; aiming at various conventional and special conditions, a targeted data acquisition time sequence and logic relation are formulated; the data acquisition frequency should be set to different sampling frequencies according to the monitoring project and the analysis requirement; the data acquisition and transmission equipment is matched with the precision of the sensor system, so that the requirement of forward measurement precision is met; the integration degree of the data acquisition equipment is high, so that unified management and control are convenient; the data acquisition and transmission equipment has strong expansibility, and meets the sensor upgrading requirement; the data acquisition and transmission equipment has good durability, stable performance and strong anti-interference performance; the protection of the data acquisition and transmission equipment should be provided with a complete scheme and a related emergency plan; the data acquisition and transmission equipment is protected from environmental factors such as temperature and humidity, lightning stroke and interference sources (power supply, electromagnetism) and the like, and damage is prevented.
The data processing and controlling subsystem mainly manages all dynamic and static data of the system, including structure basic information, design data, construction period data, real-time monitoring data, early warning evaluation data, system management information and the like, and files, queries, stores and applies the data. The data processing and controlling subsystem stores the monitoring data and various information according to a reasonable structure, and establishes a central database and a data warehouse of the project monitoring system so as to provide effective information sources for other subsystems.
The main functions of the state early warning and evaluating subsystem are to carry out statistical analysis on collected data, and to determine the value range of each parameter value and the like for the parameter values of the key positions and the control sections of the structure under various environmental conditions. Under various conditions, the change of key parameters is monitored, the change trend is judged through the data, various conditions of the structure can be judged in advance when emergency conditions are met, early warning information is sent when the monitored data and the like reach the limit value, and the early warning mechanism is combined to timely take certain treatment measures for preventing possible instability of each structure, prevent occurrence or expansion of disasters and reduce losses.
The road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology is mainly used for receiving the measured data of slope and bridge monitoring equipment, and an algorithm carried by the system can divide different displacement data into three-level warning data and achieves early warning prompt. According to different alarm data, analysis and processing of different slope displacements can be realized, and early warning feedback and pretreatment before disaster occurrence can be realized according to experience.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for making a computer device (which may be a personal computer, a physical machine server, or a network cloud server, etc., and need to install a Windows or Windows server operating system) execute part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a Random access memory (Random AccessMemory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above description is only of the preferred embodiments of the present invention, and is not intended to limit the present invention in any way, but any simple modification, equivalent variation and modification made to the above embodiments according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.
Claims (9)
1. A road domain disaster monitoring and early warning method based on Beidou and high-resolution remote sensing technology is characterized by comprising the following steps:
step S1: analyzing and obtaining a plurality of slope road deformation monitoring points based on the historical disaster data, and deploying monitoring equipment at each slope road deformation monitoring point;
step S2: analyzing the data obtained by detection of the monitoring equipment, and generating alarm information when the analysis result exceeds a monitoring alarm threshold value, so as to trigger a duty personnel equipped with the unmanned aerial vehicle and the emergency communication equipment;
step S3: planning a path reaching a slope road deformation monitoring point to be maintained for the duty personnel and performing lane-level navigation based on the position information acquired by the Beidou positioning equipment;
step S4: if the duty personnel cannot reach the slope road deformation monitoring point position to be maintained, starting the unmanned aerial vehicle by the duty personnel, and obtaining an aerial image related to the slope road deformation monitoring point position to be maintained by the unmanned aerial vehicle to reach the slope road deformation monitoring point position to be maintained, and entering step S5; otherwise, the duty personnel arrive at the slope road deformation monitoring point position to be maintained, the data related to the slope road deformation monitoring point position to be maintained is obtained, and the step S5 is entered;
step S5: and the command center generates a maintenance scheme based on the aviation image or the data related to the slope road deformation monitoring point position to be maintained, and dispatches maintenance personnel nearest to the slope road deformation monitoring point position to be maintained to maintain the slope road deformation monitoring point position to be maintained based on the maintenance scheme.
2. The method of claim 1, wherein the impact area of the slope road deformation monitoring point to be maintained is determined based on the geographic information of the slope road deformation monitoring point to be maintained, and a notification prompting vehicles in the impact area to take refuge is generated while alarm information is generated, and the notification of taking refuge is notified to the vehicles in the impact area.
3. A road domain disaster monitoring and early warning system based on the Beidou and high-resolution remote sensing technology, which is used for executing the road domain disaster monitoring and early warning method based on the Beidou and high-resolution remote sensing technology as set forth in any one of claims 1-2, and is characterized in that the system comprises:
a perception layer, a transmission layer and an application layer;
the sensing layer is used for acquiring monitoring data of deformation monitoring points of the side slope road, the monitoring data comprise strain monitoring data, vibration monitoring data, environment temperature data and environment humidity data of the deformation monitoring points of the side slope road, and the strain monitoring data, the vibration monitoring data, the environment temperature data and the environment humidity data are acquired;
the transmission layer is used for transmitting the acquired strain monitoring data, vibration monitoring data, environment temperature data and environment humidity data to the application layer;
the application layer is used for acquiring, storing and analyzing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data, generating alarm information and scheduling duty personnel, receiving the aviation image and/or the data related to the slope road deformation monitoring point position to be maintained, generating a maintenance scheme, and scheduling maintenance personnel nearest to the slope road deformation monitoring point position to be maintained.
4. The system of claim 3, wherein the application layer comprises a database subsystem, a data processing and control system, a security evaluation and early warning subsystem, a scheduling subsystem and maintenance subsystem, a visualization interface, an expansion interface, and a sharing interface, the application layer providing the visualization interface, the expansion interface, and the sharing interface, the database subsystem for storing the strain monitoring data, vibration monitoring data, ambient temperature data, ambient humidity data; the data processing and controlling system is used for integrating, analyzing and managing the strain monitoring data, the vibration monitoring data, the environmental temperature data and the environmental humidity data; the safety evaluation and early warning subsystem is used for generating alarm information; the scheduling subsystem is used for scheduling duty personnel; the temple for the maintenance subsystem receives the aerial image and/or data related to the slope road deformation monitoring point position to be maintained, and generates a maintenance scheme; the visual interface provides a multi-angle, multi-level visual view for a user, the expansion interface is used for providing subsequent expansion functions, and the sharing interface is used for providing shared data.
5. The system of claim 3, wherein the sensing layer comprises a sensor subsystem, a data acquisition subsystem; the sensor subsystem is used for acquiring strain monitoring data, vibration monitoring data, environmental temperature data and environmental humidity data of the slope road deformation monitoring point in real time; the data acquisition subsystem is used for acquiring the strain monitoring data, the vibration monitoring data, the environment temperature data and the environment humidity data.
6. A system as claimed in claim 3, wherein the application layer provides a web interface for providing the data processing function module on a web page and a mobile terminal interface for providing the data processing function module on a mobile terminal. The data processing function module provides one or more of data processing, analysis, presentation, and maintenance scheme generation functions to a user according to user rights.
7. The system of claim 4, wherein in the database subsystem, a data hierarchical classification system is established, corresponding metadata extensible definition organization models are established for different systems, and the extended definition and definition update of data types are performed.
8. The system of claim 4, wherein the database subsystem establishes a space-time model based on a unified geocoding framework, and time is calibrated by acquisition time and event time of the monitoring data.
9. The system of claim 4, wherein in the database subsystem, a multi-source data organization association based on time, space and target system is established to support target metadata definition and adjustment and expansion of association relation between targets; establishing an active discovery and automatic updating strategy of the association relation, and supporting manual establishment, manual confirmation and modification; and establishing a data organization model based on the association relation, and supporting target data organization based on a time axis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310986284.5A CN117253341A (en) | 2023-08-07 | 2023-08-07 | Road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310986284.5A CN117253341A (en) | 2023-08-07 | 2023-08-07 | Road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117253341A true CN117253341A (en) | 2023-12-19 |
Family
ID=89133940
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310986284.5A Pending CN117253341A (en) | 2023-08-07 | 2023-08-07 | Road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117253341A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117711082A (en) * | 2024-02-05 | 2024-03-15 | 深圳市广汇源环境水务有限公司 | Intelligent inspection method and device based on water source engineering |
-
2023
- 2023-08-07 CN CN202310986284.5A patent/CN117253341A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117711082A (en) * | 2024-02-05 | 2024-03-15 | 深圳市广汇源环境水务有限公司 | Intelligent inspection method and device based on water source engineering |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103942941B (en) | Mobile monitoring convergence platform based on GIS | |
| CN203786891U (en) | Mobile monitoring convergence platform based on GIS (Geographic Information System) | |
| CN105719053A (en) | Disaster early warning and information issuing system based on multiple terminals | |
| CN112308733B (en) | City intelligent management system and method | |
| CN110858334A (en) | Road safety assessment method and device and road safety early warning system | |
| CN115348247A (en) | Forest fire detection early warning and decision-making system based on sky-ground integration technology | |
| CN111854847A (en) | Ecological environment Internet of things monitoring method and system based on scene-induced ecology | |
| CN105550824A (en) | Intelligent disaster situation evaluation system | |
| CN110503806A (en) | A kind of railway network safe early warning method and system | |
| CN113159475B (en) | Infrastructure full life cycle monitoring platform and method | |
| CN116308944B (en) | Emergency rescue-oriented digital battlefield actual combat control platform and architecture | |
| CN102208093B (en) | Disaster information acquiring and reporting system | |
| CN113487094B (en) | Ocean data management application platform | |
| CN109274737B (en) | C/S technical architecture system for oil field exploration, development and production | |
| CN108304983A (en) | Management platform is repaiied in a kind of oil and gas pipeline inspection acquired based on unmanned plane and network communication technology data | |
| CN106096820A (en) | Engineering project management system for monitoring based on GIS | |
| CN115388949A (en) | Intelligent reservoir monitoring and management system | |
| CN117253341A (en) | Road domain disaster monitoring and early warning method and system based on Beidou and high-resolution remote sensing technology | |
| CN105719050A (en) | Ground-air integrated disaster-prevention disaster-mitigation integrated management and emergency command platform | |
| CN113392500A (en) | Geological disaster monitoring and early warning system | |
| Yang et al. | Design of hazardous materials transportation safety management system under the vehicle-infrastructure connected environment | |
| CN118212747A (en) | Intelligent monitoring and early warning system and method for slope disasters based on multi-source information fusion | |
| CN115755662A (en) | Satellite remote sensing monitoring and early warning system for geological disasters of pumped storage power station | |
| Laurini et al. | A primer ON TeleGeoProcessing and TeleGeoMonitoring | |
| CN115565335A (en) | Intelligent slope safety monitoring 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 |