CN113447000A - Supervision control method, system, equipment and medium for super high-rise building engineering measurement - Google Patents
Supervision control method, system, equipment and medium for super high-rise building engineering measurement Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D47/00—Equipment not otherwise provided for
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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Abstract
The invention relates to the technical field of engineering supervision, in particular to a supervision control method, a system, equipment and a medium for super high-rise building engineering measurement, wherein the supervision control method for super high-rise building engineering measurement comprises the following steps: establishing a current construction model of the building to be supervised according to image information, wherein the image information is received from an unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle at multiple angles; analyzing the image information to generate a current supervision item; calibrating a supervision area of a current supervision project on the current construction model; generating a supervision path according to the supervision area and the calibrated current construction model; sending the supervision path to an unmanned aerial vehicle, flying the unmanned aerial vehicle along the supervision path to carry out supervision operation, and generating a supervision image; and receiving the supervision image sent by the unmanned aerial vehicle, and analyzing the supervision image to generate supervision information. This application has the work load that reduces constructor, improves the effect of the degree of automation of managing.
Description
Technical Field
The invention relates to the technical field of engineering supervision, in particular to a supervision control method, a supervision control system, supervision control equipment and supervision control media for super high-rise building engineering measurement.
Background
Construction project supervision can be divided into design supervision and construction supervision according to supervision stages. Design supervision is the supervision performed on a design project in the design stage, and the design supervision mainly aims at ensuring that the design quality, time and other targets meet the requirements of owners; the construction supervision is the supervision of construction projects in the construction stage, and the main purpose of the supervision is to ensure that the construction safety, quality, investment, construction period and the like meet the requirements of owners.
Wherein, among the prior art, in the supervision process to super high-rise building, begin to adopt control unmanned aerial vehicle to carry out the mode of patrolling, however, the inventor thinks, constructor is managing everywhere that needs the supervision at the building through control unmanned aerial vehicle, and the operation is comparatively loaded down with trivial details, and consumes constructor longer time, consequently remains to improve.
Disclosure of Invention
In order to reduce the workload of constructors and improve the automation degree of supervision, the application provides a supervision control method for super high-rise building engineering measurement.
The above object of the present invention is achieved by the following technical solutions:
a supervision control method for super high-rise building engineering measurement comprises the following steps:
establishing a current construction model of a building to be supervised according to image information, wherein the image information is received from an unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle at multiple angles;
analyzing the image information to generate a current supervision item;
calibrating a supervision area of the current supervision project on the current construction model;
generating a supervision path according to the supervision area and the calibrated current construction model;
sending the supervision path to an unmanned aerial vehicle, wherein the unmanned aerial vehicle flies along the supervision path to perform supervision operation and generate a supervision image;
and receiving the supervision image sent by the unmanned aerial vehicle, and analyzing the supervision image to generate supervision information.
Through adopting above-mentioned technical scheme, unmanned aerial vehicle carries out preliminary multi-angle shooting to the prison building earlier, image information that will shoot obtains sends equipment, equipment receives and establishes the current construction model of waiting to prison building behind the image information, and carry out the analysis to image information, thereby generate current prison project, mark the prison region of current prison project on current construction model, then generate the prison route, send the prison route to unmanned aerial vehicle, unmanned aerial vehicle flies according to the prison route in order to carry out the prison operation, and generate the prison image, thereby it manages everywhere that need not constructor control unmanned aerial vehicle to manage at the building needs the prison, constructor's work load has been reduced, improve the degree of automation of prison.
The present application may be further configured in a preferred example to: the generating of the supervision path according to the supervision area and the calibrated current construction model comprises the following steps:
determining flight nodes of each supervision area according to the calibrated supervision areas in the current construction model;
generating a flight route at each flight node according to the flight nodes and the supervision area;
sequentially connecting all flight routes according to a preset rule to generate an initial path;
the initial path is processed to generate a proctoring path.
By adopting the technical scheme, the flight nodes of each supervision area are determined firstly, then the flight routes of the flight nodes are generated by combining the supervision areas, finally the flight routes are sequentially connected to generate an initial route, and the supervision route is generated after processing, so that each flight node has a respective flight route, namely, each supervision area can make routes according to different characteristics of the supervision area.
The present application may be further configured in a preferred example to: determining the flight nodes of each supervision area according to the calibrated supervision areas in the current construction model comprises the following steps:
when the distance between at least two supervision areas in all the supervision areas is not higher than a preset value, determining a first flight node, wherein the first flight node is a flight node associated with the at least two supervision areas;
and when the distances between the supervision area and the rest of the supervision areas are higher than a preset value, determining a second flight node, wherein the second flight node is a flight node associated with the supervision area.
By adopting the technical scheme, the flight nodes of the supervision areas with the closer distances are determined to be the same flight node, and the supervision areas with the farther distances are respectively provided with respective flight nodes, so that the flight nodes can be saved, the supervision quality is ensured, and the efficiency is improved.
The present application may be further configured in a preferred example to: the method for generating the flight route at each flight node according to the flight nodes and the supervision area comprises the following steps:
determining a related planning region according to the flight node, wherein the supervision region related to the flight node is positioned in the middle of the projection of the planning region on a building, the area of the planning region is at least 1.5 times of that of the supervision region related to the flight node, and the distance between the planning region and the building is greater than a preset distance value;
determining a starting point and an end point in the planning area;
generating a sine curve with the wave crest and the wave trough from the starting point to the ending point as a flight route of the flight node, wherein each half wave of the sine curve is in contact with the boundary of a planning area, and n is determined according to the distance between the starting point and the ending point.
Through adopting above-mentioned technical scheme, unmanned aerial vehicle can be comparatively comprehensively with managing regional cover in the flight route in the region of managing, improves the accuracy of managing.
The present application may be further configured in a preferred example to: the starting point and the ending point are two points which are farthest away from each other in the planning area.
By adopting the technical scheme, the supervision range is further widened.
The second objective of the present invention is achieved by the following technical solutions:
a supervision control system for super high-rise building engineering measurement comprises:
the model building module is used for building a current construction model of the building to be supervised according to image information, the image information is received from the unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle at multiple angles;
the information analysis module is used for analyzing the image information to generate a current supervision item;
the area calibration module is used for calibrating the supervision area of the current supervision project on the current construction model;
the route generation module is used for generating a supervision route according to the supervision area and the calibrated current construction model;
the route sending module is used for sending the supervision route to an unmanned aerial vehicle, and the unmanned aerial vehicle flies along the supervision route to conduct supervision operation and generate a supervision image;
and the image processing module is used for receiving the supervision image sent by the unmanned aerial vehicle and analyzing the supervision image to generate supervision information.
The third purpose of the present application is achieved by the following technical solutions:
an apparatus comprising a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the method for supervisory control of very high rise building engineering measurements described above when executing said computer program.
The fourth purpose of the present application is achieved by the following technical solutions:
a medium storing a computer program which, when executed by a processor, implements the steps of the supervision control method for super high-rise building engineering measurements described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the unmanned aerial vehicle carries out primary multi-angle shooting on the supervised building, image information obtained by shooting is sent to equipment, the equipment receives the image information and then establishes a current construction model of the building to be supervised, the image information is analyzed to generate a current supervision project, a supervision area of the current supervision project is marked on the current construction model, then a supervision path is generated and sent to the unmanned aerial vehicle, the unmanned aerial vehicle flies according to the supervision path to carry out supervision operation and generate a supervision image, so that the unmanned aerial vehicle is not required to be controlled by a constructor to supervise each part of the building to be supervised, the workload of constructors is reduced, and the automation degree of supervision is improved;
2. firstly, determining flight nodes of each supervision area, then generating flight routes at the flight nodes by combining the supervision areas, finally sequentially connecting the flight routes to generate an initial path, and generating the supervision paths after processing, so that each flight node has a respective flight route, namely each supervision area can make a route according to different characteristics of the flight nodes;
3. the flight nodes of the supervision areas with the closer distances are determined to be the same flight node, and the supervision areas with the farther distances are provided with respective flight nodes, so that the flight nodes can be saved, the supervision quality is guaranteed, and the efficiency is improved.
Drawings
FIG. 1 is a flow chart of an implementation of a supervision control method for super high-rise building engineering measurement according to an embodiment of the present application;
FIG. 2 is a flow chart of an implementation of a supervision control method for super high-rise building engineering measurement according to another embodiment of the present application;
fig. 3 is a schematic block diagram of a supervisory control system for super high-rise building engineering survey according to an embodiment of the present invention.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
The application discloses supervision control method for super high-rise building engineering measurement, which specifically comprises the following steps with reference to fig. 1:
and S102, establishing a current construction model of the building to be supervised according to the image information.
The image information is received from the unmanned aerial vehicle, and is obtained by shooting a building to be supervised by the unmanned aerial vehicle at multiple angles; the image information can be obtained by aerial photography through an unmanned aerial vehicle, and multi-angle shooting is carried out on the building to be supervised, so that the image information of different angles of the building to be supervised is obtained, panoramic shooting can also be carried out on the building to be supervised, so that more complete and comprehensive image information is obtained, and the 3Dcloud photo modeling technology and the like can be adopted for establishing the current construction model. Meanwhile, space reference is defined for the current construction model, and the realization mode can adopt the mode of defining gis coordinate system and the like, so that the simulation coordinates in the model are in one-to-one correspondence with the coordinates of the real space.
S104, analyzing the image information to generate a current supervision item;
the current supervision project can be guardrail and safe passage protection, the taking and dismantling of a floor type scaffold, a wall-penetrating screw of a climbing frame, the effectiveness of a falling-prevention device and the like.
S106, calibrating a supervision area of the current supervision project on the current construction model;
after the current supervision project is generated, the corresponding feature image can be obtained, and the corresponding supervision area is calibrated on the current construction model established through the image information by referring to the feature image.
S108, generating a supervision path according to the supervision area and the calibrated current construction model;
s110, the supervision path is sent to the unmanned aerial vehicle, and the unmanned aerial vehicle flies along the supervision path to conduct supervision operation and generate a supervision image.
The proctoring work may be a photographing work, i.e., a photographing work is continuously performed during the flight along the proctoring route.
And S112, receiving the supervision image sent by the unmanned aerial vehicle, and analyzing the supervision image to generate supervision information.
The supervision information corresponds with the current supervision project, for example, when the current supervision project is the taking-up and dismantling of console mode scaffold, the supervision information can include scaffold pole setting, horizontal pole interval, sweep pole and bracing setting etc..
Referring to fig. 1 and 2, wherein analyzing the image information to generate the current proctoring item includes:
s1041, inputting the image information into a first neural network model trained in advance, and reasoning the image information through the first neural network model to obtain a current construction project;
wherein, first neural network model is drawn through machine learning training by the multiunit experimental data, and every group experimental data in the multiunit experimental data all includes: image information, and a current construction project corresponding to the image information.
And S1042, generating a current supervision project according to the current construction project.
The current construction items, such as foundation and foundation, building water supply and drainage, main structure and the like, one construction item is associated with at least one current supervision item, the construction item and the current supervision item associated with the construction item can be preset, for example, when the construction item is the foundation and the foundation, the current supervision item associated with the construction item can be used for limiting the load at the side of the pit, draining, protecting guardrails and safety channels and the like.
In a preferred embodiment, generating the prison paths according to the prison areas and the calibrated current construction model comprises the following steps:
s1081, determining flight nodes of each supervision area according to the calibrated supervision areas in the current construction model;
specifically, determining the flight nodes of each supervision area according to the calibrated supervision areas in the current construction model comprises the following steps:
s10811, when the distance between at least two supervision areas in all the supervision areas is not higher than a preset value, determining a first flight node, wherein the first flight node is a flight node associated with the at least two supervision areas;
the preset value is preset, and may be set to 3m, for example, the distance between two proctoring areas refers to the distance between the geometric centers of the two proctoring areas, when the distance between the two proctoring areas is not greater than 3m, the first flight node may be set to be the midpoint of the connecting line between the geometric centers of the two proctoring areas, and when the distance between two or more than three proctoring areas is not greater than 3m, the regular polygon coverage area with the least number of edges that can be covered by the three or more proctoring areas is selected, and the geometric center of the regular polygon coverage area is used as the first flight node.
S10812, when the distances between the supervision area and the rest of the supervision areas are higher than the preset value, determining a second flight node, wherein the second flight node is a flight node associated with the supervision area.
For example, when the distances between the proctoring area and the remaining proctoring areas are all higher than 3m, a second flight node is determined, which may be the geometric center of the proctoring area.
S1082, generating a flight route at each flight node according to the flight nodes and the supervision area;
specifically, the method for generating the flight route at each flight node according to the flight node and the supervision area comprises the following steps:
and S10821, determining the associated planning area according to the flight node.
The supervision area associated with the flight node is positioned in the middle of the projection of the planning area on the building, the area of the planning area is at least 1.5 times of that of the supervision area associated with the flight node, and the planning area can be rectangular and can be other shapes similar to the external outline of the supervision area associated with the actual flight node;
the distance between the planning area and the building is larger than a preset distance value; the preset distance value may be 5m, or the preset distance value may be determined according to the current supervision item of the supervision area associated with the flight node, for example, when the current supervision item of the supervision area associated with the flight node is the mounting and demounting of a floor scaffold, the preset distance value may be 15 m. The area of the planning area is at least 1.5 times of the supervision area associated with the flight node, so that the reachable position of the unmanned aerial vehicle is enlarged, and the supervision area associated with the flight node can be shot in a multi-angle manner.
S10822, determining a starting point and an end point in the planning area;
wherein, the starting point and the ending point are two points which are farthest away in the planning area.
S10823, generating a sine curve with the wave crest and the wave trough from the starting point to the ending point as the flight route of the flight node, wherein each half wave of the sine curve is in contact with the boundary of the planning area.
Wherein n is determined according to the distance between the starting point and the end point. For example, the distance from the starting point to the ending point is 20m, the preset wavelength interval is between 1m and 2m, in one embodiment, the wavelength is selected to be 1m according to the actual size of the planned area, and then n is 20; when the actual planning area is large, the selectable wavelength is 2m, and n is 10; in another embodiment, it is preferable to select a wavelength that is divisible by the distance from the starting point to the ending point.
Each half-wave of the sine curve is in contact with the boundary of the planning area, so that the airplane track of the unmanned aerial vehicle is far away, and the shooting range is larger.
S1083, sequentially connecting the flight routes according to a preset rule to generate an initial path;
the preset rule may be that adjacent flight routes are connected end to end, and the adjacent flight routes refer to flight routes in which the end point of one flight route is closest to the start point of another flight route, so that the adjacent flight routes are connected in series.
S1084, processing the initial path to generate a proctoring path.
Specifically, processing the initial path includes performing arc transition at the joint of each flight route, so that the unmanned aerial vehicle flies more smoothly along the supervision path.
In a preferred embodiment, in the process that the unmanned aerial vehicle flies along the supervision path, when the unmanned aerial vehicle is located in a planning area, the optical axis of the camera is adjusted according to the current coordinate of the unmanned aerial vehicle and the coordinates of the flight nodes in the planning area, so that the optical axis of the camera passes through the flight nodes in the planning area. The adjustment of the position of the optical axis of the camera can be realized by the rotation of the camera or the rotation of the whole body of the unmanned aerial vehicle; the flight node is located the geometric center in supervision region, and supervision region is located the building, and planning area has the distance that is greater than preset distance value with the building, and when unmanned aerial vehicle was located this planning area, unmanned aerial vehicle's camera optical axis was towards the geometric center in supervision region all the time, and constantly angle of adjustment on sinusoidal's supervision route to can realize that the camera gathers comparatively complete, clear image, the follow-up analysis of being convenient for.
In the above, receiving the supervision image sent by the unmanned aerial vehicle, analyzing the supervision image to generate the supervision information may be implemented by:
inputting the proctoring image into a pre-trained second neural network model, and carrying out reasoning analysis on image information through the second neural network model so as to obtain proctoring information;
wherein, the second neural network model is obtained through machine learning training by the multiunit experimental data, and every group experimental data in the multiunit experimental data all includes: a proctoring image, and proctoring information corresponding to the proctoring image.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In one embodiment, a supervision control system for super high-rise building engineering measurement is provided, and the supervision control system for super high-rise building engineering measurement corresponds to the supervision control method for super high-rise building engineering measurement in the above embodiment one to one. As shown in fig. 3, the supervision control system for super high-rise building engineering measurement includes a model building module, an information analysis module, an area calibration module, a path generation module, and a path transmission module. The functional modules are explained in detail as follows:
the model building module is used for building a current construction model of the building to be supervised according to image information, the image information is received from the unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle in a multi-angle mode;
the information analysis module is used for analyzing the image information to generate a current supervision item;
the area calibration module is used for calibrating a supervision area of a current supervision project on the current construction model;
the route generation module is used for generating a supervision route according to the supervision area and the calibrated current construction model;
the route sending module is used for sending the supervision route to the unmanned aerial vehicle, and the unmanned aerial vehicle flies along the supervision route to conduct supervision operation and generate a supervision image;
and the image processing module is used for receiving the supervision image sent by the unmanned aerial vehicle and analyzing the supervision image to generate supervision information.
For the specific limitation of the supervisory control system for the super high-rise building engineering survey, reference may be made to the above limitation on the supervisory control method for the super high-rise building engineering survey, and details thereof are not repeated herein. All or part of each module in the supervision control system for the super high-rise building engineering measurement can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the device, and can also be stored in a memory in the device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, an apparatus, which may be a server, includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the device is configured to provide computing and control capabilities. The memory of the device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a supervision control method for super high-rise building engineering measurement:
establishing a current construction model of the building to be supervised according to image information, wherein the image information is received from an unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle at multiple angles;
analyzing the image information to generate a current supervision item;
calibrating a supervision area of a current supervision project on the current construction model;
generating a supervision path according to the supervision area and the calibrated current construction model;
sending the supervision path to an unmanned aerial vehicle, flying the unmanned aerial vehicle along the supervision path to carry out supervision operation, and generating a supervision image;
and receiving the supervision image sent by the unmanned aerial vehicle, and analyzing the supervision image to generate supervision information.
The computer program can realize the supervision control method of the super high-rise building engineering measurement in any one of the above method embodiments when being executed by a processor.
In one embodiment, a medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of:
establishing a current construction model of the building to be supervised according to image information, wherein the image information is received from an unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle at multiple angles;
analyzing the image information to generate a current supervision item;
calibrating a supervision area of a current supervision project on the current construction model;
generating a supervision path according to the supervision area and the calibrated current construction model;
sending the supervision path to an unmanned aerial vehicle, flying the unmanned aerial vehicle along the supervision path to carry out supervision operation, and generating a supervision image;
and receiving the supervision image sent by the unmanned aerial vehicle, and analyzing the supervision image to generate supervision information.
The computer program can realize the supervision control method of the super high-rise building engineering measurement in any one of the above method embodiments when being executed by a processor.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (8)
1. A supervision control method for super high-rise building engineering measurement is characterized by comprising the following steps:
establishing a current construction model of a building to be supervised according to image information, wherein the image information is received from an unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle at multiple angles;
analyzing the image information to generate a current supervision item;
calibrating a supervision area of the current supervision project on the current construction model;
generating a supervision path according to the supervision area and the calibrated current construction model;
sending the supervision path to an unmanned aerial vehicle, wherein the unmanned aerial vehicle flies along the supervision path to perform supervision operation and generate a supervision image;
and receiving the supervision image sent by the unmanned aerial vehicle, and analyzing the supervision image to generate supervision information.
2. The supervision control method for super high-rise building engineering measurement according to claim 1, wherein the generating of the supervision path according to the supervision area and the calibrated current construction model comprises:
determining flight nodes of each supervision area according to the calibrated supervision areas in the current construction model;
generating a flight route at each flight node according to the flight nodes and the supervision area;
sequentially connecting all flight routes according to a preset rule to generate an initial path;
the initial path is processed to generate a proctoring path.
3. The supervision control method for super high-rise building engineering measurement according to claim 2, wherein determining the flight nodes of each supervision area according to the calibrated supervision areas in the current construction model comprises:
when the distance between at least two supervision areas in all the supervision areas is not higher than a preset value, determining a first flight node, wherein the first flight node is a flight node associated with the at least two supervision areas;
and when the distances between the supervision area and the rest of the supervision areas are higher than a preset value, determining a second flight node, wherein the second flight node is a flight node associated with the supervision area.
4. The supervision control method for super high-rise building engineering measurement according to claim 2, wherein generating the flight route at each flight node according to the flight node and the supervision area comprises:
determining a related planning region according to the flight node, wherein the supervision region related to the flight node is positioned in the middle of the projection of the planning region on a building, the area of the planning region is at least 1.5 times of that of the supervision region related to the flight node, and the distance between the planning region and the building is greater than a preset distance value;
determining a starting point and an end point in the planning area;
generating a sine curve with the wave crest and the wave trough from the starting point to the ending point as a flight route of the flight node, wherein each half wave of the sine curve is in contact with the boundary of a planning area, and n is determined according to the distance between the starting point and the ending point.
5. The method of claim 4, wherein the starting point and the ending point are two points separated by the farthest distance in the planned area.
6. A supervision control system for super high-rise building engineering measurement is characterized by comprising:
the model building module is used for building a current construction model of the building to be supervised according to image information, the image information is received from the unmanned aerial vehicle, and the image information is obtained by shooting the building to be supervised by the unmanned aerial vehicle at multiple angles;
the information analysis module is used for analyzing the image information to generate a current supervision item;
the area calibration module is used for calibrating the supervision area of the current supervision project on the current construction model;
the route generation module is used for generating a supervision route according to the supervision area and the calibrated current construction model;
the route sending module is used for sending the supervision route to an unmanned aerial vehicle, and the unmanned aerial vehicle flies along the supervision route to conduct supervision operation and generate a supervision image;
and the image processing module is used for receiving the supervision image sent by the unmanned aerial vehicle and analyzing the supervision image to generate supervision information.
7. An apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method for supervisory control of super high rise building engineering measurements according to any of claims 1-5 when executing the computer program.
8. A medium, characterized in that it stores a computer program which, when being executed by a processor, carries out the steps of the supervision control method of super high-rise construction engineering measurements according to any one of claims 1 to 5.
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| Publication number | Priority date | Publication date | Assignee | Title |
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