CN114022810A - Method, system, medium and terminal for detecting working state of climbing frame protective net in construction site - Google Patents
Method, system, medium and terminal for detecting working state of climbing frame protective net in construction site Download PDFInfo
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Abstract
The invention provides a method, a system, a medium and a terminal for detecting the working state of a climbing frame protective net in a construction site, which comprises the following steps: acquiring monitoring video information of a climbing frame protective net in a construction site; acquiring building detection information and climbing frame protective net segmentation information based on the monitoring video information; and judging whether the climbing frame protective net is missing or not according to the building detection information and the climbing frame protective net segmentation information, and sending alarm information when the climbing frame protective net is missing. According to the method, the system, the medium and the terminal for detecting the working state of the climbing frame protective net in the construction site, disclosed by the invention, the intelligent identification and state analysis are carried out on the climbing frame protective net in the construction site by utilizing a computer vision technology, so that the construction safety of the construction site is effectively ensured.
Description
Technical Field
The invention relates to the technical field of video processing, in particular to a method, a system, a medium and a terminal for detecting the working state of a climbing frame protective net in a construction site.
Background
The safety quality management of construction sites is a management work which is focused on by construction enterprises. The management modes of artificial education and patrol, which are commonly adopted in the industry, have the defects of low efficiency, high cost and poor effect, and can not meet the requirements in practical application scenes.
With the rapid development of information technology, video monitoring technology has developed to a great degree and is widely applied to building sites. But the security management capability cannot be fully developed only by manually checking the monitoring video.
Disclosure of Invention
In view of the above disadvantages of the prior art, an object of the present invention is to provide a method, a system, a medium, and a terminal for detecting a working state of a climbing frame protection net in a construction site, which perform intelligent identification and state analysis on the climbing frame protection net in the construction site by using a computer vision technology, so as to effectively ensure the construction safety of the construction site.
In order to achieve the above objects and other related objects, the present invention provides a method for detecting the working state of a protective net of a climbing frame in a construction site, comprising the following steps: acquiring monitoring video information of a climbing frame protective net in a construction site; acquiring building detection information and climbing frame protective net segmentation information based on the monitoring video information; and judging whether the climbing frame protective net is missing or not according to the building detection information and the climbing frame protective net segmentation information, and sending alarm information when the climbing frame protective net is missing.
In an embodiment of the present invention, the obtaining of the building detection information based on the monitoring video information includes the following steps:
acquiring a trained deep learning object detection model;
and detecting the building in the monitoring video information based on the deep learning object detection model to obtain the building detection information.
In an embodiment of the present invention, the obtaining of the trained deep learning object detection model includes the following steps:
collecting building pictures under construction, and dividing the building pictures under construction into a training set and a verification set;
manually marking the training set and the verification set, and marking out the building position in the building picture;
training the deep learning object detection model based on the labeled training set, and verifying the trained deep learning object detection model based on the labeled verification set, thereby obtaining the trained deep learning object detection model.
In an embodiment of the present invention, the obtaining of the segmentation information of the protection net of the climbing frame based on the monitoring video information includes the following steps:
acquiring a trained deep learning example segmentation model;
and performing climbing frame protective net segmentation on the monitoring video information based on the deep learning example segmentation model to obtain climbing frame protective net segmentation information.
In an embodiment of the present invention, the obtaining of the trained deep learning instance segmentation model includes the following steps:
collecting pictures of a climbing frame protective net, and dividing the pictures of the climbing frame protective net into a training set and a verification set;
manually marking the training set and the verification set, and marking the position of the climbing frame protective net in the climbing frame protective net picture;
training the deep learning instance segmentation model based on the marked training set, and verifying the trained deep learning instance segmentation model based on the marked verification set, thereby obtaining the trained deep learning instance segmentation model.
The invention provides a system for detecting the working state of a climbing frame protective net in a construction site, which comprises a video acquisition module, an information acquisition module and a detection module;
the video acquisition module is used for acquiring monitoring video information of a climbing frame protective net in a construction site;
the information acquisition module is used for acquiring building detection information and climbing frame protective net segmentation information based on the monitoring video information;
the detection module is used for judging whether the climbing frame protective net is missing according to the building detection information and the climbing frame protective net segmentation information and sending out alarm information when the climbing frame protective net is missing.
The invention provides a storage medium on which a computer program is stored, which when executed by a processor implements the above-described method for detecting the working state of a climbing frame protection net on a construction site.
The invention provides a working state detection terminal for a protective net of a climbing frame in a construction site, which comprises: a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory so as to enable the working state detection terminal of the construction site climbing protection net to execute the working state detection method of the construction site climbing protection net.
The invention provides a working state detection system for a climbing frame protective net in a construction site, which comprises a video acquisition device and a working state detection terminal for the climbing frame protective net in the construction site;
video acquisition device is used for gathering the building site and climbs the monitoring video information of a protection network and send to building site climbs a protection network operating condition detection terminal.
In an embodiment of the present invention, the video capturing device includes a plurality of cameras uniformly distributed around the top of the building.
As described above, the method, the system, the medium and the terminal for detecting the working state of the climbing frame protection net in the construction site have the following advantages:
(1) intelligent video analysis is carried out by utilizing a deep learning technology, and video monitoring is carried out on the working state of a climbing frame protective net in a construction site;
(2) whether the climbing frame protective screening is lost or not can be automatically judged, and alarm information is automatically generated to report to safety management personnel under the condition that the climbing frame protective screening is judged to be lost, so that the potential risk of safety accidents caused by negligence of the safety management personnel is effectively reduced;
(3) can utilize the video stream of the existing video monitor system of building site to carry out the analysis, compatible all kinds of mainstream manufacturers' IP camera at present need not to adopt three-dimensional (3D) camera again and can judge the relative position of climbing a protection network and roof, has saved the hardware cost, easily upgrades the current video monitor system of building site, can promote the intelligent level of building site production safety control fast.
Drawings
Fig. 1 is a flowchart illustrating a method for detecting the working status of a climbing frame protection net in a construction site according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating image information captured by a camera at an angle according to an embodiment of the present invention;
fig. 3 is a schematic structural view illustrating an embodiment of the working condition detecting system of the climbing frame protection net of the construction site according to the present invention;
fig. 4 is a schematic structural diagram illustrating an embodiment of a terminal for detecting the working state of a climbing frame protection net in a construction site according to the present invention;
fig. 5 is a schematic structural diagram of a working condition detecting system of a climbing frame protection net for a construction site according to another embodiment of the invention.
Description of the element reference numerals
31 video acquisition module
32 information acquisition module
33 detection module
41 processor
42 memory
51 video acquisition device
52 building site climbs a protection network operating condition detection terminal
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
It should be noted that the drawings provided in the present embodiment are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The working state detection method, the working state detection system, the working state detection medium and the working state detection terminal for the climbing frame protective screening in the building site carry out intelligent identification and state analysis on the climbing frame protective screening in the building site by utilizing the computer vision technology, can send an alarm in time when the climbing frame protective screening is absent, effectively ensure the construction safety of the building site, reduce the potential safety hazard caused by negligence of safety managers, and have high practicability.
As shown in fig. 1, in an embodiment, the method for detecting the working state of the climbing frame protection net in the construction site of the present invention includes the following steps:
and step S1, acquiring monitoring video information of the climbing protective net of the construction site.
Specifically, set up video acquisition device on the building site, the real-time monitoring video information who climbs a protection network is gathered to through wired or wireless mode send to the building site and climb a protection network operating condition detection terminal.
In an embodiment of the present invention, the video capturing device includes a plurality of cameras uniformly distributed around the top of the building. A plurality of cameras are needed because the pictures taken by the conventional cameras are two-dimensional (2D) and lack depth information of the object. One camera can only effectively detect whether the climbing frame protective screening in a specific position range is in a proper position. Fig. 2 shows a picture taken by the camera at a certain angle. The area a represents a building, and the area B represents a climbing protection net. The object of the present invention is to detect whether a climbing frame protection net at the roof edge of a building of an area a is at a position higher than the roof. The area a includes the roof and the outer wall of the building, so it is necessary to determine the areas where the roof edge and the outer wall are located, respectively. In the area A, the area capable of determining the roof edge by using the frame position of the area A is the area C. The C area is the most effective detection range of the camera. Except for the area C, the relative position relationship between the building and the climbing frame protective net cannot be accurately known at other positions, so that a plurality of cameras are required to cover different positions at the top of the building from different angles.
And step S2, acquiring building detection information and climbing frame protective net segmentation information based on the monitoring video information.
Specifically, the step of obtaining the building detection information based on the monitoring video information comprises the following steps:
a) and acquiring a trained deep learning object detection model.
Specifically, a deep learning object detection model meeting requirements needs to be trained, and the trained deep learning object detection model is provided to a working state detection terminal of a climbing frame protective screening of a construction site. The deep learning object detection model is used for detecting building information in the monitoring video information.
In an embodiment of the present invention, the obtaining of the trained deep learning object detection model includes the following steps:
11) building pictures under construction are collected and divided into a training set and a verification set.
12) And manually marking the training set and the verification set, and marking the building position in the building picture.
13) Training the deep learning object detection model based on the labeled training set, and verifying the trained deep learning object detection model based on the labeled verification set, thereby obtaining the deep learning object detection model meeting the preset object detection precision.
b) And detecting the building in the monitoring video information based on the deep learning object detection model to obtain the building detection information. Specifically, the building detection information can be output by inputting the monitoring video information into the deep learning object detection model.
In an embodiment of the present invention, the obtaining of the segmentation information of the protection net of the climbing frame based on the monitoring video information includes the following steps:
A) and acquiring a trained deep learning example segmentation model.
Specifically, a deep learning example segmentation model meeting requirements needs to be trained, and the trained deep learning example segmentation model is provided to a working state detection terminal of a climbing frame protective screening of a construction site. The deep learning example segmentation module is used for segmenting a climbing frame protective net from the monitoring video information.
In an embodiment of the present invention, the obtaining of the trained deep learning instance segmentation model includes the following steps:
21) collecting pictures of a climbing frame protective net, and dividing the pictures of the climbing frame protective net into a training set and a verification set.
22) And manually marking the training set and the verification set, and marking the position of the climbing frame protective net in the climbing frame protective net picture.
23) Training the deep learning instance segmentation model based on the marked training set, and verifying the trained deep learning instance segmentation model based on the marked verification set, so as to obtain the deep learning instance segmentation model meeting the preset instance segmentation precision.
B) And performing climbing frame protective net segmentation on the monitoring video information based on the deep learning example segmentation model to obtain climbing frame protective net segmentation information. Specifically, the monitoring video information is input into the deep learning example segmentation model, and the information of the climbing frame protective screening can be output.
And step S3, judging whether the climbing frame protective net is missing according to the building detection information and the climbing frame protective net segmentation information, and sending out alarm information when the climbing frame protective net is missing.
Specifically, the relative position of the building and the climbing frame protection net is determined according to the building detection information and the climbing frame protection net division information, whether the height of the climbing frame protection net is higher than the height of the top of the building is judged, and when the height of the climbing frame protection net is lower than the height of the top of the building, the absence of the climbing frame protection net is judged. When the protective net of the climbing frame is judged to be missing, warning information is sent out in time in the modes of voice, prompting sound and the like and is sent to relevant responsible persons in the modes of short messages, WeChat and the like, and therefore safety management of a construction site is improved.
As shown in fig. 3, in an embodiment, the system for detecting the working state of the climbing protection net in the construction site according to the present invention includes a video acquisition module 31, an information acquisition module 32, and a detection module 33.
The video obtaining module 31 is used for obtaining monitoring video information of a climbing frame protective net in a construction site.
The information obtaining module 32 is connected to the video obtaining information 31, and is configured to obtain building detection information and climbing frame protection network segmentation information based on the monitoring video information.
The detection module is connected to the information acquisition module 32 by 33, and is configured to determine whether the climbing frame protection network is missing according to the building detection information and the climbing frame protection network segmentation information, and send an alarm message when determining that the climbing frame protection network is missing.
The structures and principles of the video obtaining module 31, the information obtaining module 32 and the detecting module 33 correspond to the steps in the method for detecting the working state of the climbing protection net on the construction site one by one, and therefore, the description is omitted here.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the x module may be a processing element that is set up separately, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the x module may be called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
The storage medium of the present invention stores thereon a computer program that, when executed by a processor, implements the above-described method for detecting the operating condition of the climbing frame protection net on a construction site. The storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
As shown in fig. 4, in an embodiment, the working state detecting terminal of the climbing frame protection net for construction site of the present invention includes: a processor 41 and a memory 42.
The memory 42 is used for storing computer programs.
The memory 42 includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 41 is connected to the memory 42 and configured to execute the computer program stored in the memory 42, so that the working state detection terminal of the construction site climbing protection net performs the working state detection method of the construction site climbing protection net described above.
Preferably, the Processor 41 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.
As shown in fig. 5, in an embodiment, the system for detecting the working state of a protective net for a climbing frame in a construction site of the present invention includes a video capture device 51 and the terminal 52 for detecting the working state of the protective net for a climbing frame in a construction site.
In conclusion, the working state detection method, the working state detection system, the working state detection medium and the working state detection terminal for the climbing frame protective net in the construction site carry out intelligent video analysis by utilizing the deep learning technology, and carry out video monitoring on the working state of the climbing frame protective net in the construction site; whether the climbing frame protective screening is lost or not can be automatically judged, and alarm information is automatically generated to report to safety management personnel under the condition that the climbing frame protective screening is judged to be lost, so that the potential risk of safety accidents caused by negligence of the safety management personnel is effectively reduced; can utilize the video stream of the existing video monitor system of building site to carry out the analysis, compatible all kinds of mainstream manufacturers' IP camera at present need not to adopt three-dimensional (3D) camera again and can judge the relative position of climbing a protection network and roof, has saved the hardware cost, easily upgrades the current video monitor system of building site, can promote the intelligent level of building site production safety control fast. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. The utility model provides a building site climbs frame protection network operating condition detection method which characterized in that: the method comprises the following steps:
acquiring monitoring video information of a climbing frame protective net in a construction site;
acquiring building detection information and climbing frame protective net segmentation information based on the monitoring video information;
and judging whether the climbing frame protective net is missing or not according to the building detection information and the climbing frame protective net segmentation information, and sending alarm information when the climbing frame protective net is missing.
2. The method for detecting the working state of the construction site climbing frame protection net according to claim 1, characterized in that: the step of obtaining the building detection information based on the monitoring video information comprises the following steps:
acquiring a trained deep learning object detection model;
and detecting the building in the monitoring video information based on the deep learning object detection model to obtain the building detection information.
3. The method for detecting the working state of the construction site climbing frame protection net according to claim 2, is characterized in that: the method for acquiring the trained deep learning object detection model comprises the following steps:
collecting building pictures under construction, and dividing the building pictures under construction into a training set and a verification set;
manually marking the training set and the verification set, and marking out the building position in the building picture;
training the deep learning object detection model based on the labeled training set, and verifying the trained deep learning object detection model based on the labeled verification set, thereby obtaining the trained deep learning object detection model.
4. The method for detecting the working state of the construction site climbing frame protection net according to claim 1, characterized in that: the step of obtaining the segmentation information of the climbing frame protective screening based on the monitoring video information comprises the following steps:
acquiring a trained deep learning example segmentation model;
and performing climbing frame protective net segmentation on the monitoring video information based on the deep learning example segmentation model to obtain climbing frame protective net segmentation information.
5. The method for detecting the working state of the construction site climbing frame protection net according to claim 4, is characterized in that: the method for acquiring the trained deep learning example segmentation model comprises the following steps:
collecting pictures of a climbing frame protective net, and dividing the pictures of the climbing frame protective net into a training set and a verification set;
manually marking the training set and the verification set, and marking the position of the climbing frame protective net in the climbing frame protective net picture; training the deep learning instance segmentation model based on the marked training set, and verifying the trained deep learning instance segmentation model based on the marked verification set, thereby obtaining the trained deep learning instance segmentation model.
6. The utility model provides a building site climbs a protection network operating condition detecting system which characterized in that: the system comprises a video acquisition module, an information acquisition module and a detection module;
the video acquisition module is used for acquiring monitoring video information of a climbing frame protective net in a construction site;
the information acquisition module is used for acquiring building detection information and climbing frame protective net segmentation information based on the monitoring video information;
the detection module is used for judging whether the climbing frame protective net is missing according to the building detection information and the climbing frame protective net segmentation information and sending out alarm information when the climbing frame protective net is missing.
7. A storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the method for detecting the working state of a construction site climbing protection net according to any one of claims 1 to 5.
8. The utility model provides a building site climbs a protection network operating condition detection terminal which characterized in that includes: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to cause the construction site climbing protection net working state detection terminal to execute the construction site climbing protection net working state detection method according to any one of claims 1 to 5.
9. The utility model provides a building site climbs a protection network operating condition detecting system which characterized in that: the construction site climbing frame protection net working state detection terminal comprises a video acquisition device and the construction site climbing frame protection net working state detection terminal of claim 8;
video acquisition device is used for gathering the building site and climbs the monitoring video information of a protection network and send to building site climbs a protection network operating condition detection terminal.
10. The working state detection system for the construction site climbing frame protection net according to claim 9, characterized in that: the video acquisition device comprises a plurality of cameras which are uniformly distributed around the top of the building.
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| CN202111273310.7A CN114022810A (en) | 2021-10-29 | 2021-10-29 | Method, system, medium and terminal for detecting working state of climbing frame protective net in construction site |
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| CN202111273310.7A CN114022810A (en) | 2021-10-29 | 2021-10-29 | Method, system, medium and terminal for detecting working state of climbing frame protective net in construction site |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114659559A (en) * | 2022-03-28 | 2022-06-24 | 江苏鑫昇腾科技发展股份有限公司 | Intelligent building climbing frame working state monitoring system and method based on Internet of things |
| CN114758260A (en) * | 2022-06-15 | 2022-07-15 | 成都鹏业软件股份有限公司 | Construction site safety protection net detection method and system |
| CN117115924A (en) * | 2023-10-23 | 2023-11-24 | 中建三局集团华南有限公司 | AI-based climbing frame monitoring method and system |
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2021
- 2021-10-29 CN CN202111273310.7A patent/CN114022810A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114659559A (en) * | 2022-03-28 | 2022-06-24 | 江苏鑫昇腾科技发展股份有限公司 | Intelligent building climbing frame working state monitoring system and method based on Internet of things |
| CN114659559B (en) * | 2022-03-28 | 2022-12-09 | 江苏鑫昇腾科技发展股份有限公司 | Intelligent building climbing frame working state monitoring system and method based on Internet of things |
| CN114758260A (en) * | 2022-06-15 | 2022-07-15 | 成都鹏业软件股份有限公司 | Construction site safety protection net detection method and system |
| CN114758260B (en) * | 2022-06-15 | 2022-10-18 | 成都鹏业软件股份有限公司 | Construction site safety protection net detection method and system |
| CN117115924A (en) * | 2023-10-23 | 2023-11-24 | 中建三局集团华南有限公司 | AI-based climbing frame monitoring method and system |
| CN117115924B (en) * | 2023-10-23 | 2024-01-23 | 中建三局集团华南有限公司 | AI-based climbing frame monitoring method and system |
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