CN112858476A - Building structure monitoring method, system, terminal and storage medium based on 5G - Google Patents
Building structure monitoring method, system, terminal and storage medium based on 5G Download PDFInfo
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Abstract
The application relates to a method, a system, a terminal and a storage medium for building structure monitoring based on 5G, which belong to the monitoring field, wherein the method comprises the steps of configuring a flight route of an unmanned aerial vehicle; dividing a plurality of check points on a flight path; controlling the unmanned aerial vehicle to fly to each check point in sequence according to the flight route; controlling an unmanned aerial vehicle to perform ultrasonic monitoring on the dam at an inspection point and obtaining ultrasonic data; judging whether the ultrasonic data is abnormal or not according to the ultrasonic data of the check point; and if the ultrasonic data is abnormal, judging that the check point has defects, and marking the check point with the defects as a target point. The method and the device have the advantages of being beneficial to improving the effects that manpower consumption and low efficiency are greatly increased when the building wall surface is monitored manually.
Description
Technical Field
The present application relates to the field of monitoring technologies, and in particular, to a method, a system, a terminal, and a storage medium for building structure monitoring based on 5G.
Background
Most reservoir projects in China are built in the fifth and sixty years of the twentieth century, the project quality is often insufficient in nature, particularly, problems that medium and small-sized reservoirs are low in design standard, low in construction quality, aged and damaged or imperfect in equipment and the like generally exist, and the economic and social development and the life and property safety of people are seriously affected by reservoir risk hazards.
Dam safety is the central importance, relies on artifical periodic measurement to dam crack monitoring at present usually, consumes a large amount of manpowers, and is inefficient.
Disclosure of Invention
In order to help solve the problems that manual monitoring on building wall surfaces consumes a large amount of manpower and is low in efficiency, the application provides a building structure monitoring method, a building structure monitoring system, a building structure monitoring terminal and a building structure monitoring storage medium based on 5G.
In a first aspect, the present application provides a method for monitoring a 5G-based building structure, which adopts the following technical scheme:
a method for monitoring a 5G-based building structure is based on a monitoring system,
the monitoring system includes an unmanned aerial vehicle and terminal, includes:
configuring a flight route of the unmanned aerial vehicle; the flight path comprises a starting point and an end point;
dividing a plurality of check points on the flight path;
controlling the unmanned aerial vehicle to fly to each check point in sequence according to the flight route;
controlling the unmanned aerial vehicle to perform ultrasonic monitoring on the dam at an inspection point and obtaining ultrasonic data;
judging whether the ultrasonic data is abnormal or not according to the ultrasonic data of the check point;
and if the ultrasonic data is abnormal, judging that the check point has defects, and marking the check point with defects as a target point.
By adopting the technical scheme, the monitoring route of the unmanned aerial vehicle is configured, the monitoring route is divided into the plurality of check points, the unmanned aerial vehicle is controlled to fly along the flying route and fly to each check point, the dam is monitored by ultrasonic waves at each check point, whether the obtained ultrasonic data are abnormal or not is judged, if the check points are abnormal, the check points are judged to have defects, the check points with the defects mark target points, manual quantification is not needed, and the problems that manual monitoring on the building wall surface consumes a large amount of manpower and the efficiency is low are solved.
Optionally, the method further includes:
when the unmanned aerial vehicle flies to a terminal point, controlling the unmanned aerial vehicle to return to target points in sequence according to a flight route;
controlling the unmanned aerial vehicle to carry out image acquisition on the dam at a target point and obtaining image acquisition data;
judging whether the image acquisition data is abnormal or not according to the image acquisition data;
and if the image acquisition data is abnormal, judging that the surface of the target point has defects, and marking the target point with the abnormal image acquisition data as a surface defect point.
By adopting the technical scheme, the unmanned aerial vehicle is controlled to return to the target points in sequence, image acquisition is carried out on the dam at the target points, whether image acquisition data are abnormal or not is judged, the target points with abnormal image acquisition data are marked as surface defect points, and a worker can check whether cracks exist on the surface or in the dam conveniently.
Optionally, after controlling the unmanned aerial vehicle to return to the check point in sequence according to the flight route, the method further includes:
and controlling the unmanned aerial vehicle to carry out video acquisition on the target point and obtain video acquisition data.
By adopting the technical scheme, the dam is subjected to video acquisition, so that a worker can conveniently check videos on the surface of the dam when needed.
Optionally, after marking the target point of the image acquisition data abnormality as a surface defect point, the method further includes:
judging whether the surface defect point leaks or not according to the video acquisition data;
and if the surface defect point leaks, marking the surface defect point which leaks as a leakage position point.
By adopting the technical scheme, whether the surface defect point leaks or not is judged according to the video acquisition data, if the surface defect point leaks, the surface defect point which leaks is marked as a leakage position point, and the leakage position point is found out, so that a worker does not need to check on the spot, and the worker can conveniently distinguish the leakage position point or the non-leakage position point.
Optionally, after the marking the surface defect point where the leakage occurs as a leakage position point, the method further includes:
and feeding back alarm information to the terminal.
By adopting the technical scheme, alarm information is fed back to the terminal to remind workers of a place where leakage occurs on the dam.
Optionally, the controlling the unmanned aerial vehicle to fly to the back of each check point in sequence according to the flight route further includes:
monitoring humidity and temperature at a check point according to preset monitoring equipment, and obtaining humidity data and temperature data;
and storing the humidity data and the temperature data in a preset statistical table of the check point.
By adopting the technical scheme, the humidity and the temperature are monitored at each first inspection point, so that the analysis of the reasons for generating the defects is facilitated for an operator through the humidity and the temperature of the first inspection point.
Optionally, after storing the humidity data and the temperature data in a preset statistical table of the check point, the method further includes:
generating hyperlinks jumping to the corresponding statistical tables at the check points.
By adopting the technical scheme, the hyperlink for jumping to the corresponding statistical table is generated at the check point, so that the temperature data and the humidity data of each check point can be conveniently checked by a worker.
In a second aspect, the present application provides a 5G-based building structure monitoring system, which adopts the following technical solutions:
a system for 5G-based building structure monitoring comprises,
a configuration module for configuring a flight path of the drone; the flight path comprises a starting point and an end point;
the dividing module is used for dividing a plurality of check points on the flight route;
the control module is used for controlling the unmanned aerial vehicle to fly to each check point in sequence according to the flight route;
the monitoring module is used for controlling the unmanned aerial vehicle to carry out ultrasonic monitoring on the dam at an inspection point and obtain ultrasonic data;
the judging module is used for judging whether the ultrasonic data are abnormal or not according to the ultrasonic data of the check point;
and the marking module is used for judging that the check point has defects if the ultrasonic data are abnormal, and marking the check point with defects as a target point.
By adopting the technical scheme, the monitoring route of the unmanned aerial vehicle is configured, the monitoring route is divided into the plurality of check points, the unmanned aerial vehicle is controlled to fly along the flying route and fly to each check point, the dam is monitored by ultrasonic waves at each check point, whether the obtained ultrasonic data are abnormal or not is judged, if the check points are abnormal, the check points are judged to have defects, the check points with the defects mark target points, manual quantification is not needed, and the problems that manual monitoring on the building wall surface consumes a large amount of manpower and the efficiency is low are solved.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method as described in the first aspect.
By adopting the technical scheme, the unmanned aerial vehicle can be accurately controlled to fly along the flight route and fly to each check point, ultrasonic monitoring is carried out on the dam at each check point, and whether the obtained ultrasonic data are abnormal or not is accurately judged.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium comprising a computer program stored thereon which is loadable by a processor and adapted to carry out the method of the first aspect.
By adopting the technical scheme, after the computer readable storage medium is loaded into any computer, any computer can execute the 5G-based building structure monitoring method provided by the application.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps that a monitoring route of the unmanned aerial vehicle is configured, a plurality of check points are divided on the monitoring route, the unmanned aerial vehicle is controlled to fly along the flying route and fly to each check point, ultrasonic monitoring is carried out on a dam at each check point, whether obtained ultrasonic data are abnormal or not is judged, if the obtained ultrasonic data are abnormal, the check points are judged to have defects, target points are marked on the check points with the defects, manual quantification is not needed, and therefore the problems that a large amount of manpower is consumed for manual monitoring of the building wall surface and the efficiency is low are solved;
2. the target points are sequentially returned by controlling the unmanned aerial vehicle, the dam is subjected to image acquisition at the target points, whether the image acquisition data are abnormal or not is judged, the target points with abnormal image acquisition data are marked as surface defect points, and workers can check whether cracks exist on the surface or in the dam conveniently.
Drawings
Fig. 1 is a schematic flow chart of a method for 5G-based building structure monitoring according to an embodiment of the present application.
Fig. 2 is a schematic diagram showing a flight path and checkpoint relationship in a method for 5G-based building structure monitoring according to an embodiment of the present application.
Fig. 3 is a schematic diagram showing a relationship between a checkpoint and a target point in a method for monitoring a 5G-based building structure according to an embodiment of the present application.
Fig. 4 is a schematic flow chart showing the humidity and temperature monitoring at a target point in the method for monitoring a 5G-based building structure according to the embodiment of the present application.
Fig. 5 is a schematic flowchart of image acquisition performed at a target point in a method for 5G-based building structure monitoring according to an embodiment of the present application.
Fig. 6 is a schematic diagram showing a relationship between target points and surface defect points in a method for monitoring a 5G-based building structure according to an embodiment of the present application.
Fig. 7 is a schematic flow chart of a method for monitoring a 5G-based building structure according to an embodiment of the present application, which is embodied in determining whether a surface defect point leaks.
Fig. 8 is a schematic diagram showing a relationship between surface defect points and leakage position points in a method for monitoring a 5G-based building structure according to an embodiment of the present application.
Fig. 9 is a block diagram of a system for 5G-based building structure monitoring according to an embodiment of the present application.
Description of reference numerals: 1. a configuration module; 2. a dividing module; 3. a control module; 4. a scanning module; 5. a shooting module; 6. and a storage module.
Detailed Description
The present application is described in further detail below with reference to figures 1-9.
The embodiment of the application discloses a building structure monitoring method based on 5G. The building monitoring method based on 5G is based on a monitoring system, the monitoring system comprises an unmanned aerial vehicle and a terminal, and the unmanned aerial vehicle is provided with an ultrasonic monitor; the unmanned aerial vehicle and the terminal interact through a 5G mobile wireless communication technology.
Referring to fig. 1, a method of 5G-based building structure monitoring includes:
s100, configuring a flight route of the unmanned aerial vehicle. Wherein the flight path comprises a start point and an end point. The flight path is designed according to the shape of the part above the water surface of the dam to be monitored in particular. For example, the flight path is designed to be "S" shaped according to the shape of the part above the water surface of the dam to be monitored at present, and the straight line in the figure represents the flight path in conjunction with fig. 2.
And S200, dividing a plurality of check points on the flight path. Wherein, each check point has a position coordinate, and the check points are evenly arranged along the flight path. Each check point corresponds to one statistical table and each check point is attached with a hyperlink which jumps to the corresponding statistical table. For example, in connection with FIG. 2, the straight lines represent flight paths and each open circle represents a checkpoint. And clicking any check point to display the statistical table corresponding to the check point.
S300, controlling the unmanned aerial vehicle to fly to a check point according to the flight route.
S400, controlling the unmanned aerial vehicle to perform ultrasonic monitoring on the dam at the inspection point and obtaining ultrasonic data. The ultrasonic monitoring instrument sends ultrasonic waves to an area of the dam at a check point, receives the reflected ultrasonic waves and forms a oscillogram. The ultrasonic data of the checking point is the ultrasonic waveform diagram of the checking point.
And S500, judging whether the ultrasonic data are abnormal or not according to the ultrasonic data of the check point. If yes, directly entering S600; if not, returning to S300, and controlling the unmanned aerial vehicle to fly to the next check point according to the flight route.
The judging method is to compare the ultrasonic wave waveform diagram of the current check point with the historical ultrasonic wave waveform diagram of the check point, and if the waveform quantity of the ultrasonic waves of the current check point is different from the waveform quantity of the historical ultrasonic waves of the check point, the ultrasonic wave data of the check point is judged to be abnormal.
And S600, judging that the current check point has defects, marking the check point with defects as a target point, returning to S300, and controlling the unmanned aerial vehicle to fly to the next check point according to the flight route. For example, in connection with FIG. 3, the filled circles in the figure represent target points.
Referring to fig. 4, after S300, the method further includes:
s301, according to preset monitoring equipment, monitoring humidity and temperature at the inspection point, and obtaining humidity data and temperature data. Wherein, the monitoring facilities include humidity monitor and temperature monitor. The drone proceeds S301 when each checkpoint is reached.
S302, storing the humidity data and the temperature data of the current check point in a statistical table of the check point. The statistical table facilitates a user to check humidity data and temperature data around the check point.
Referring to fig. 5, the method further includes:
and S110, controlling the unmanned aerial vehicle to return to a target point according to the flight route when the unmanned aerial vehicle flies to the destination. Wherein, when unmanned aerial vehicle flies to the terminal point, trigger unmanned aerial vehicle's function of returning a journey, unmanned aerial vehicle returns the target point according to the flight route in proper order, and unmanned aerial vehicle returns at first to the target point nearest apart from the terminal point.
And S111, controlling the unmanned aerial vehicle to carry out image acquisition on the dam at the target point and obtaining image acquisition data. The unmanned aerial vehicle is also provided with an industrial camera in advance, after the unmanned aerial vehicle reaches a target point, the industrial camera takes a picture of the target point, and the taken picture is image acquisition data.
And S112, judging whether the image acquisition data is abnormal or not according to the image acquisition data. If yes, the process goes directly to S113; if not, jumping to S110, and controlling the unmanned aerial vehicle to return to the next target point according to the flight route.
The judging method is characterized in that the pictures of the current check point are compared with the pictures of the historical check point by means of an image recognition technology, and if the pictures of the current check point are different from the pictures of the historical check point, the abnormal image acquisition data is judged.
And S113, judging that cracks exist on the surface of the current target point, marking the target point with abnormal image acquisition data as a surface defect point, jumping to S110, and controlling the unmanned aerial vehicle to return to the next target point according to the flight route. For example, in connection with FIG. 6, the triangles in the figure represent surface defect points.
Referring to fig. 7, after S110, the following steps are further performed:
and S121, controlling the unmanned aerial vehicle to carry out video acquisition on the dam at the target point and obtaining video acquisition data. It should be noted that, after the unmanned aerial vehicle returns to each target point, S121 is performed, and S121 and S111 are performed simultaneously.
Wherein, unmanned aerial vehicle has installed the camera in advance, and unmanned aerial vehicle maintains the video recording of N seconds to the target point, and this video recording is video acquisition data promptly, and this video recording time can be set for by oneself according to actual need. And after the video recording is finished, triggering the unmanned aerial vehicle to return to the function of the next target point.
And S122, based on the S113, judging whether the surface defect point has fluid leakage according to the video acquisition data. If yes, directly entering S123; if not, the process goes to S122 again until the video capture data of the next surface defect point is obtained. Wherein each surface defect point is judged whether the fluid leakage occurs. The judgment method comprises the steps of dividing a video of a surface defect point into a plurality of frames by means of an image recognition technology, obtaining a picture corresponding to each frame, comparing the pictures corresponding to each frame, and judging that the current surface defect point leaks if two or more pictures with differences exist in the pictures corresponding to each frame.
And S123, marking the surface defect point with the leakage as a leakage position point. For example, in connection with FIG. 8, the squares in the figure represent leak location points.
And S124, feeding back alarm information to the terminal. Wherein, alarm information can be "warning: text or voice prompt of the place where the dam has leakage.
Based on the method, the embodiment of the application also discloses a system for monitoring the building structure based on 5G.
Referring to fig. 9, a system for 5G-based building structure monitoring includes a configuration module 1, a division module 2, a monitoring module 3, a division module 4, a judgment module 5, and a marking module 6.
The configuration module 1 is used for configuring a flight route of the unmanned aerial vehicle; the flight path comprises a starting point and an end point;
the dividing module 2 is used for dividing a plurality of check points on the flight route;
the control module 3 is used for controlling the unmanned aerial vehicle to fly to each check point in sequence according to the flight route;
the monitoring module 4 is used for controlling the unmanned aerial vehicle to carry out ultrasonic monitoring on the dam at the inspection point and obtaining ultrasonic data;
the judging module 5 is used for judging whether the ultrasonic data are abnormal or not according to the ultrasonic data of the check point;
and the marking module 6 is used for judging that the check point has defects if the ultrasonic data are abnormal, and marking the check point with the defects as a target point.
The embodiment of the application also discloses an intelligent terminal, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the 5G-based building structure monitoring method.
The embodiment of the present application further discloses a computer readable storage medium, which stores a computer program capable of being loaded by a processor and executing the method for monitoring the 5G-based building structure, wherein the computer readable storage medium comprises: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above examples are only used to illustrate the technical solutions of the present application, and do not limit the scope of protection of the application. It is to be understood that the embodiments described are only some of the embodiments of the present application and not all of them. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, are within the scope of the present application.
Claims (10)
1. A 5G-based building structure monitoring method, wherein the method is based on a monitoring system, the monitoring system comprises an unmanned aerial vehicle and a terminal, and the method comprises the following steps:
configuring a flight route of the unmanned aerial vehicle; the flight path comprises a starting point and an end point;
dividing a plurality of check points on the flight path;
controlling the unmanned aerial vehicle to fly to each check point in sequence according to the flight route;
controlling the unmanned aerial vehicle to perform ultrasonic monitoring on the dam at an inspection point and obtaining ultrasonic data;
judging whether the ultrasonic data is abnormal or not according to the ultrasonic data of the check point;
and if the ultrasonic data is abnormal, judging that the check point has defects, and marking the check point with defects as a target point.
2. The method of claim 1, further comprising:
when the unmanned aerial vehicle flies to a terminal point, controlling the unmanned aerial vehicle to return to target points in sequence according to a flight route;
controlling the unmanned aerial vehicle to carry out image acquisition on the dam at a target point and obtaining image acquisition data;
judging whether the image acquisition data is abnormal or not according to the image acquisition data;
and if the image acquisition data is abnormal, judging that a crack exists on the surface of the target point, and marking the target point with the abnormal image acquisition data as a surface defect point.
3. The method of claim 2, wherein the controlling the drone to sequentially return to the checkpoint according to the flight path further comprises:
and controlling the unmanned aerial vehicle to carry out video acquisition on the target point and obtain video acquisition data.
4. The method of claim 3, wherein after marking the target points of the image capture data anomaly as surface defect points, the method further comprises:
judging whether the surface defect point leaks or not according to the video acquisition data;
and if the surface defect point leaks, marking the surface defect point which leaks as a leakage position point.
5. A5G-based building structure monitoring method according to claim 4, wherein said marking the surface defect point where the leakage occurs as a leakage position point further comprises:
and feeding back alarm information to the terminal.
6. The method of claim 1, wherein the controlling the drone to fly in sequence according to the flight path after each checkpoint, further comprises:
monitoring humidity and temperature at a check point according to preset monitoring equipment, and obtaining humidity data and temperature data;
and storing the humidity data and the temperature data in a preset statistical table of the check point.
7. The method of claim 6, wherein after storing the moisture data and the temperature data in a statistical table preset in a checkpoint, the method further comprises:
generating hyperlinks jumping to the corresponding statistical tables at the check points.
8. A system for 5G-based building structure monitoring, comprising,
a configuration module (1) for configuring a flight path of the drone; the flight path comprises a starting point and an end point;
a dividing module (2) for dividing a number of check points on the flight path;
the control module (3) is used for controlling the unmanned aerial vehicle to fly to each check point in sequence according to the flight route;
the monitoring module (4) is used for controlling the unmanned aerial vehicle to carry out ultrasonic monitoring on the dam at the inspection point and obtaining ultrasonic data;
the judging module (5) is used for judging whether the ultrasonic data are abnormal or not according to the ultrasonic data of the check point;
and the marking module (6) is used for judging that the check point has defects if the ultrasonic data are abnormal, and marking the check point with the defects as a target point.
9. An intelligent terminal, comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
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| CN114034770A (en) * | 2021-11-15 | 2022-02-11 | 金陵科技学院 | Data detection method and system based on construction dam mechanics big data |
| CN115022364A (en) * | 2022-05-31 | 2022-09-06 | 中国工商银行股份有限公司 | Monitoring method, monitoring device, computer equipment and storage medium |
| CN116661479A (en) * | 2023-07-28 | 2023-08-29 | 深圳市城市公共安全技术研究院有限公司 | Building inspection path planning method, equipment and readable storage medium |
| CN117188652A (en) * | 2023-11-06 | 2023-12-08 | 内蒙古电力（集团）有限责任公司内蒙古电力经济技术研究院分公司 | Early warning-based fabricated building envelope and early warning method |
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