CN113810664A - Weld pit safety monitoring method and system for pipeline engineering construction - Google Patents
Weld pit safety monitoring method and system for pipeline engineering construction Download PDFInfo
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- CN113810664A CN113810664A CN202111081615.8A CN202111081615A CN113810664A CN 113810664 A CN113810664 A CN 113810664A CN 202111081615 A CN202111081615 A CN 202111081615A CN 113810664 A CN113810664 A CN 113810664A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 122
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000010276 construction Methods 0.000 title claims abstract description 36
- 238000003466 welding Methods 0.000 claims abstract description 38
- 230000008569 process Effects 0.000 claims abstract description 13
- 238000012549 training Methods 0.000 claims description 30
- 238000000605 extraction Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000001681 protective effect Effects 0.000 claims description 4
- 239000000779 smoke Substances 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 238000005265 energy consumption Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 abstract description 4
- 238000004134 energy conservation Methods 0.000 abstract description 4
- 230000007613 environmental effect Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000007689 inspection Methods 0.000 description 24
- 238000013135 deep learning Methods 0.000 description 10
- 238000001514 detection method Methods 0.000 description 2
- 229910000679 solder Inorganic materials 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The invention provides a weld pit safety monitoring method and system for pipeline engineering construction. The welding pit safety monitoring method comprises the following steps: configuring a video monitoring strategy aiming at a welding pit construction process, wherein the video monitoring strategy corresponds to a device for acquiring a video in a welding pit; according to the monitoring strategy, video images are obtained through a corresponding video obtaining device, and the video images are safely monitored through the monitoring strategy so as to realize the safe monitoring of the welding pits; and after the safety monitoring of the monitoring strategy is completed, closing the corresponding device for acquiring the video. The welding pit safety monitoring system comprises a strategy configuration device, an image acquisition device, an analysis device and a regulation and control device and can realize the monitoring method. The beneficial effects of the invention can include: the energy consumption can be saved, and the effects of energy conservation and environmental protection are achieved.
Description
Technical Field
The invention relates to the technical field of pipeline engineering construction, in particular to a monitoring method and a monitoring system for pipeline engineering construction.
Background
Along with the national development, more and more pipeline engineering construction projects are provided, monitoring equipment is installed on each construction site, the quantity is large, and if each monitoring equipment is in an open state for a long time, resources and energy consumption are wasted, and the service life of the equipment is also shortened.
Disclosure of Invention
In view of the deficiencies in the prior art, it is an object of the present invention to address one or more of the problems in the prior art as set forth above. For example, an object of the present invention is to provide a method and a system for monitoring weld pit safety in pipeline engineering construction, so as to achieve energy saving and consumption reduction of monitoring equipment in the pipeline engineering construction.
In order to achieve the above object, an aspect of the present invention provides a weld pit safety monitoring method for pipeline engineering construction. The welding pit safety monitoring method can comprise the following steps: configuring a video monitoring strategy aiming at a welding pit construction process, wherein the video monitoring strategy corresponds to a device for acquiring a video in a welding pit; according to the monitoring strategy, video images are obtained through a corresponding video obtaining device, and the video images are safely monitored through the monitoring strategy so as to realize the safe monitoring of the welding pits; and after the safety monitoring of the monitoring strategy is completed, closing the corresponding device for acquiring the video.
The invention provides a weld pit safety monitoring system for pipeline engineering construction. The welding pit safety monitoring system can comprise a strategy configuration device, an image acquisition device, an analysis device and a regulation and control device, wherein the strategy configuration device can configure a video monitoring strategy for a welding pit construction process, and the video monitoring strategy corresponds to the image acquisition device in the welding pit; the image acquisition device is connected with the strategy configuration device and can receive the video monitoring strategy, and the image acquisition device can also acquire a video image according to the video monitoring strategy; the analysis device is respectively connected with the image acquisition device and the strategy configuration device and can receive the video monitoring strategy and the video image, and the analysis device can also perform safety monitoring on the video image according to the video monitoring strategy so as to realize the safety monitoring on the welding pit; the regulating device is connected with the analysis device and can close the image acquisition device after the welding pit is safely monitored.
Compared with the prior art, the beneficial effects of the invention can include: the control equipment can be controlled to be turned on and off according to the monitoring condition, energy consumption can be saved, and the effects of energy conservation and environmental protection are achieved.
Detailed Description
Hereinafter, the weld pit safety monitoring method and system of piping work construction of the present invention will be described in detail with reference to exemplary embodiments.
The invention provides a weld pit safety monitoring method for pipeline engineering construction.
In an exemplary embodiment of the present invention, the solder pit safety monitoring method may include the steps of:
s1: and configuring a video monitoring strategy aiming at the welding pit construction process, wherein the video monitoring strategy corresponds to a device for acquiring a video in the welding pit.
In this embodiment, the video monitoring strategy configured for the welding pit construction process may include the following:
(1) under the condition that the welding pit is not constructed, aiming at the conditions of whether a constructor wears a safety helmet or not, whether the constructor wears protective clothing or not, whether the constructor smokes smoke or not and whether a tumbling action occurs in the construction process or not;
(2) under the condition that the welding pit construction is completed, the condition that can be aimed at includes whether constructor squats the pipe or not.
Moreover, for each condition needing to be monitored, a corresponding video acquisition device can be selected and configured on the site to acquire a corresponding image needing to be monitored, such as a camera device.
S2: and according to the monitoring strategy, acquiring a video image through a corresponding video acquisition device, and carrying out safety monitoring on the video image through the monitoring strategy so as to realize the safety monitoring on the welding pit.
In this embodiment, after the video image is acquired and before the security monitoring, the method may further include the steps of: and performing frame extraction processing on the video image. Specifically, 1 frame of image can be extracted every 3-7 s for reservation, the integrity of the human body image can be guaranteed, the monitoring efficiency can be improved, and further, the monitoring time can be 4-6 s, such as 5 s.
Specifically, S2 may specifically include the following steps:
s201: and carrying out key point scanning on the video image through a human body key point detection algorithm, and locking a part to be subjected to security inspection of the personnel to be monitored according to a video monitoring strategy under the condition that the key point meets a key point allowable value.
In the present embodiment, the key points of the human body may include a head, a shoulder, a hand, an elbow, a chest, a leg, a foot, and the like; the human body integrity of the human body image of the person to be monitored is not less than 60%.
In this embodiment, the allowed key point values are not less than 15, and further, 15 to 20, which can not only ensure the integrity of the human body image, but also improve the monitoring efficiency.
In addition, after the key point scanning, if the key point allowance value is not met, the video image is acquired again.
S202: and comparing and analyzing the image of the part to be subjected to security inspection with the image in a classification training database by a big data classification training method to obtain a security inspection result, wherein the classification training database comprises unqualified image data of the part to be subjected to security inspection.
In this embodiment, the case of the security check performed by the human body may include:
(1) when monitoring whether a person to be monitored wears the safety helmet or not, the part to be subjected to security inspection of the person to be monitored can be the head, and the image of the area to be subjected to security inspection is compared and analyzed with the classification training database of the analysis server through a big data classification training method in deep learning to obtain information whether the person to be monitored wears the safety helmet or not.
(2) When monitoring whether a person to be monitored smokes, the part to be subjected to security inspection of the person to be monitored can be a hand position, and the image of the region to be subjected to security inspection is compared and analyzed with a classification training database of an analysis server through a big data classification training method in deep learning to obtain information whether the person to be monitored smokes.
(3) When people need to monitor whether the staff to be monitored wears the work clothes, the part to be subjected to security inspection of the staff to be monitored can be the chest position, and the image of the area to be subjected to security inspection is compared and analyzed with the classification training database of the analysis server through a big data classification training method in deep learning to obtain the information whether the staff to be monitored wears the work clothes.
(4) When people need to monitor whether the to-be-monitored person squats the pipe or not, the to-be-monitored part of the to-be-monitored person can be a leg position and a pipeline region, and through a big data classification training method in deep learning, images of the to-be-monitored region are compared with a classification training database of an analysis server for analysis, so that information whether the to-be-monitored person squats the pipe or not is obtained.
(5) When people need to monitor whether the personnel to be monitored falls down, the part to be subjected to security inspection of the personnel to be monitored can be the chest position, and the image of the area to be subjected to security inspection is compared and analyzed with the classification training database of the analysis server through a big data classification training method in deep learning, so that the information whether the personnel to be monitored falls down is obtained.
S3: and after the safety monitoring of the monitoring strategy is completed, closing the corresponding device for acquiring the video. The control device is controlled to be turned on and off by monitoring the condition, so that energy consumption can be saved, and the effects of energy conservation and environmental protection are achieved.
The invention provides a weld pit safety monitoring system for pipeline engineering construction.
In another exemplary embodiment of the present invention, the weld pit safety monitoring system includes a strategy configuration device, an image acquisition device, an analysis device, and a regulation device.
Specifically, the strategy configuration device can configure a video monitoring strategy for a welding pit construction process, and the video monitoring strategy corresponds to a corresponding image acquisition device in the welding pit.
In this embodiment, the video monitoring strategy configured for the welding pit construction process may include the following:
(1) under the condition that the welding pit is not constructed, aiming at the conditions of whether a constructor wears a safety helmet or not, whether the constructor wears protective clothing or not, whether the constructor smokes smoke or not and whether a tumble behavior occurs in the construction process or not;
(2) under the condition that the welding pit construction is completed, the condition that can be aimed at includes whether constructor squats the pipe or not.
Specifically, an input end of the image obtaining device may be connected to an output end of the policy configuration device, the image obtaining device (an image obtaining device corresponding to the video monitoring policy) may be capable of receiving the video monitoring policy, and the image obtaining device may be further capable of obtaining a video image according to the video monitoring policy.
In this embodiment, the image obtaining device may further perform frame extraction processing on the video image after obtaining the video image. Specifically, 1 frame of image can be extracted every 3-7 s for reservation, the integrity of the human body image can be guaranteed, the monitoring efficiency can be improved, and further, the monitoring time can be 4-6 s, such as 5 s.
Specifically, the input end of the analysis device may be connected to the output end of the image acquisition device and the output end of the policy configuration device, respectively, and may receive the video image and the video monitoring policy, and the analysis device may further perform security monitoring on the video image according to the video monitoring policy, so as to implement security monitoring on the solder pit.
Specifically, the analysis device can scan key points of the video image through a human body key point detection algorithm, and the part to be subjected to security inspection of the person to be monitored is locked according to a video monitoring strategy under the condition that the key points meet key point allowable values; and then, comparing and analyzing the image of the part to be subjected to security inspection with the image in a classification training database by a big data classification training method to obtain a security inspection result, wherein the classification training database comprises unqualified image data of the part to be subjected to security inspection.
In the present embodiment, the key points of the human body may include a head, a shoulder, a hand, an elbow, a chest, a leg, a foot, and the like; the human body integrity of the human body image of the person to be monitored is not less than 60%.
In this embodiment, the allowed key point values are not less than 15, and further, 15 to 20, which can not only ensure the integrity of the human body image, but also improve the monitoring efficiency.
In addition, after the key point scanning, if the key point allowance value is not met, the video image is acquired again.
In this embodiment, the case of the security check performed by the human body may include:
(1) when monitoring whether a person to be monitored wears the safety helmet or not, the part to be subjected to security inspection of the person to be monitored can be the head, and the image of the area to be subjected to security inspection is compared and analyzed with the classification training database of the analysis server through a big data classification training method in deep learning to obtain information whether the person to be monitored wears the safety helmet or not.
(2) When monitoring whether a person to be monitored smokes, the part to be subjected to security inspection of the person to be monitored can be a hand position, and the image of the region to be subjected to security inspection is compared and analyzed with a classification training database of an analysis server through a big data classification training method in deep learning to obtain information whether the person to be monitored smokes.
(3) When people need to monitor whether the staff to be monitored wears the work clothes, the part to be subjected to security inspection of the staff to be monitored can be the chest position, and the image of the area to be subjected to security inspection is compared and analyzed with the classification training database of the analysis server through a big data classification training method in deep learning to obtain the information whether the staff to be monitored wears the work clothes.
(4) When people need to monitor whether the to-be-monitored person squats the pipe or not, the to-be-monitored part of the to-be-monitored person can be a leg position and a pipeline region, and through a big data classification training method in deep learning, images of the to-be-monitored region are compared with a classification training database of an analysis server for analysis, so that information whether the to-be-monitored person squats the pipe or not is obtained.
(5) When people need to monitor whether the personnel to be monitored falls down, the part to be subjected to security inspection of the personnel to be monitored can be the chest position, and the image of the area to be subjected to security inspection is compared and analyzed with the classification training database of the analysis server through a big data classification training method in deep learning, so that the information whether the personnel to be monitored falls down is obtained. Specifically, the input end of the regulating and controlling device is connected with the output end of the analyzing device, and the image acquiring device can be turned off after the welding pit is subjected to safety monitoring. In summary, the advantages of the welding pit safety monitoring method and system for pipeline engineering construction of the present invention may include:
(1) the problem that the monitoring equipment is in an open state for a long time can be solved;
(2) the control equipment can be controlled to be turned on and off according to the monitoring condition, energy consumption can be saved, and the effects of energy conservation and environmental protection are achieved.
Although the present invention has been described above in connection with exemplary embodiments, it will be apparent to those skilled in the art that various modifications and changes may be made to the exemplary embodiments of the present invention without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A welding pit safety monitoring method for pipeline engineering construction is characterized by comprising the following steps:
configuring a video monitoring strategy aiming at a welding pit construction process, wherein the video monitoring strategy corresponds to a device for acquiring a video in a welding pit;
according to the monitoring strategy, video images are obtained through a corresponding video obtaining device, and the video images are safely monitored through the monitoring strategy so as to realize the safe monitoring of the welding pits;
and after the safety monitoring of the monitoring strategy is completed, closing the corresponding device for acquiring the video.
2. The weld pit safety monitoring method according to claim 1, wherein in the case that the construction of the weld pit is not completed, the video monitoring strategy comprises monitoring whether a constructor wears a safety helmet, monitoring whether the constructor wears protective clothing, monitoring whether the constructor smokes smoke, and monitoring whether a tumbling action occurs during the construction process;
and under the condition that the welding pit construction is completed, the video monitoring strategy comprises monitoring whether constructors squat pipes or not.
3. The weld pit safety monitoring method according to claim 1, characterized by further comprising the steps of, after acquiring the video image:
and performing frame extraction processing on the video image.
4. The weld pit safety monitoring method according to claim 1, characterized in that the safety monitoring of the video image by the monitoring strategy comprises the following steps:
and comparing and analyzing the video image with the video image in a classification training database by a big data classification training method so as to perform safety monitoring.
5. A welding pit safety monitoring system for pipeline engineering construction is characterized by comprising a strategy configuration device, an image acquisition device, an analysis device and a regulation and control device,
the strategy configuration device can configure a video monitoring strategy for a welding pit construction process, and the video monitoring strategy corresponds to the image acquisition device in the welding pit;
the image acquisition device is connected with the strategy configuration device and can receive the video monitoring strategy, and the image acquisition device can also acquire a video image according to the video monitoring strategy;
the analysis device is respectively connected with the image acquisition device and the strategy configuration device and can receive the video monitoring strategy and the video image, and the analysis device can also perform safety monitoring on the video image according to the video monitoring strategy so as to realize the safety monitoring on the welding pit;
the regulating device is connected with the analysis device and can close the image acquisition device after the welding pit is safely monitored.
6. The weld pit safety monitoring system according to claim 5, wherein in case that the construction of the weld pit is not completed, the video monitoring strategy comprises monitoring whether a constructor wears a safety helmet, monitoring whether the constructor wears protective clothing, monitoring whether the constructor smokes smoke, and monitoring whether a tumbling action occurs during the construction process;
and under the condition that the welding pit construction is completed, the video monitoring strategy comprises monitoring whether constructors squat pipes or not.
7. The weld pit safety monitoring system according to claim 5, characterized in that the image acquisition device is further capable of performing frame extraction processing on the video image after the video image is acquired.
8. The weld pit safety monitoring system according to claim 5, characterized in that the analysis device can compare the video images with the images in a classification training database by a big data classification training method for safety monitoring.
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| CN202111081615.8A CN113810664A (en) | 2021-09-15 | 2021-09-15 | Weld pit safety monitoring method and system for pipeline engineering construction |
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| CN202111081615.8A CN113810664A (en) | 2021-09-15 | 2021-09-15 | Weld pit safety monitoring method and system for pipeline engineering construction |
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| US20160165187A1 (en) * | 2014-12-05 | 2016-06-09 | Avigilon Fortress Corporation | Systems and methods for automated visual surveillance |
| CN111050114A (en) * | 2018-10-15 | 2020-04-21 | 珠海格力电器股份有限公司 | Low-power-consumption camera, monitoring management control system and control method thereof |
| CN112073691A (en) * | 2020-09-11 | 2020-12-11 | 中国石油集团西南管道有限公司 | Building site safety monitoring system and method for pipeline engineering construction |
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- 2021-09-15 CN CN202111081615.8A patent/CN113810664A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160165187A1 (en) * | 2014-12-05 | 2016-06-09 | Avigilon Fortress Corporation | Systems and methods for automated visual surveillance |
| CN105163095A (en) * | 2015-10-16 | 2015-12-16 | 湖南智慧平安科技有限公司 | Human body object monitoring method for remote locations |
| CN111050114A (en) * | 2018-10-15 | 2020-04-21 | 珠海格力电器股份有限公司 | Low-power-consumption camera, monitoring management control system and control method thereof |
| CN112073691A (en) * | 2020-09-11 | 2020-12-11 | 中国石油集团西南管道有限公司 | Building site safety monitoring system and method for pipeline engineering construction |
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