CN112365692A - System and method for detecting whether safety helmet is worn by operation and maintenance personnel in wind power plant - Google Patents
System and method for detecting whether safety helmet is worn by operation and maintenance personnel in wind power plant Download PDFInfo
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
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Abstract
The invention discloses a system and a method for detecting whether a safety helmet is not worn by operation and maintenance personnel in a wind power plant. The system comprises: the intelligent monitoring device can be used for acquiring video data at an entrance of a device area of the wind power station booster station and at the bottom of each fan tower footing, the video data are sent to the intelligent service unit through the optical fiber and the router, the intelligent service unit identifies whether an operation and maintenance worker wears a safety helmet or wears a safety helmet in a standard mode or not according to the video data, and if the operation and maintenance worker does not wear the safety helmet or wears the safety helmet in an irregular mode, warning information and warning pictures are generated and sent to the monitoring unit; the system has simple and reasonable structure and good working performance, can accurately identify the wearing condition of the safety helmet by the operation and maintenance personnel in real time, improves the safety production management capability, reduces the occurrence of violation behaviors, prevents safety accidents, and ensures the personal safety of the operation and maintenance personnel.
Description
Technical Field
The invention relates to the technical field of wind power plant safety detection, in particular to a system and a method for detecting that operation and maintenance personnel of a wind power plant do not wear safety helmets.
Background
The operation and maintenance personnel of the wind power plant need to perform equipment patrol and maintenance work in the booster station and the fan frequently. The safety helmet is used as the most main protection tool in the safety production process of the wind power plant, and plays a vital role in the safety protection of operation and maintenance personnel. In wind farm safety management regulations, it is strictly regulated that maintenance personnel must wear safety helmets when entering the equipment area.
However, as the operation and maintenance personnel neglect carelessly or do not strictly comply with the safety management regulations, situations that the safety helmet is not worn or is not normally worn according to the regulations sometimes occur, and the existing management measures cannot completely prevent the situations. Therefore, it is necessary to design an intelligent system to monitor and detect whether the operation and maintenance personnel wear the safety helmet in real time.
Disclosure of Invention
The invention provides a system and a method for detecting whether a safety helmet is worn by a wind power plant operation and maintenance worker, which aim to solve the problem that the existing management measures cannot effectively prevent the operation and maintenance worker from wearing the safety helmet according to the regulations or wearing the safety helmet irregularly.
In a first aspect, the invention provides a system for detecting that a wind farm operation and maintenance person does not wear a safety helmet, comprising: the intelligent monitoring system comprises an intelligent monitoring device, a router, an intelligent analysis service unit and a monitoring unit;
the intelligent monitoring device is arranged at the entrance of a booster station equipment area of the wind power plant and at the bottom of each fan tower foundation, is connected with the intelligent analysis service unit through an optical fiber and the router, and is connected with the monitoring unit;
the intelligent monitoring device is used for acquiring video data at an entrance of a device area of the wind power plant booster station and at the bottom of each fan tower footing and sending the video data to the intelligent service unit through optical fibers and the router;
the intelligent service unit is used for identifying whether the operation and maintenance personnel wear a safety helmet or whether the safety helmet is standard according to the video data, generating alarm information and an alarm picture under the condition that the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet abnormally, and sending the alarm information and the alarm picture to the monitoring unit;
and the monitoring unit is used for receiving the alarm information and the alarm picture sent by the intelligent service unit so as to facilitate operation and maintenance personnel to take corresponding treatment measures according to conditions.
With reference to the first aspect, in a first implementable manner of the first aspect, the system further includes: the intelligent monitoring device is connected with the video storage unit through an optical fiber and the router;
and the video storage unit is used for storing video data of the inlet of the equipment area of the wind power station booster station and the bottom of each fan tower footing, which are acquired by the intelligent monitoring device.
With reference to the first implementable manner of the first aspect, in a second implementable manner of the first aspect, the intelligent service unit includes:
the decompression unit is used for decompressing the received video data;
the conversion unit is used for decomposing and converting the decompressed data into a frame of RGB picture;
an extracting unit, configured to randomly extract a plurality of frames of pictures from the RGB pictures;
the comparison unit is used for comparing the next frame of picture with the previous frame of picture by utilizing an artificial intelligence technology;
the locking unit is used for stripping out the operation and maintenance personnel in the picture and locking the operation and maintenance personnel;
the identification unit is used for carrying out identification calculation on the head of the operation and maintenance personnel after the operation and maintenance personnel are locked, so that whether the operation and maintenance personnel wear safety helmets or whether the safety helmets are standard or not is identified;
the generating unit is used for generating alarm information and alarm pictures under the condition that operation and maintenance personnel do not wear safety helmets or wear safety helmets irregularly;
and the sending unit is used for sending the alarm information and the alarm picture to the monitoring unit.
With reference to the second implementable manner of the first aspect, in a third implementable manner of the first aspect, the router, the intelligent service unit, the video storage unit, and the monitoring unit are disposed in a booster station.
With reference to the third implementable manner of the first aspect, in a fourth implementable manner of the first aspect, the monitoring unit is further configured to store the alarm information and the alarm picture.
In a second aspect, the invention provides a method for detecting that a wind farm operation and maintenance person does not wear a safety helmet, comprising the following steps:
receiving video data of an inlet of a device area of a wind power plant booster station and the bottom of each fan tower footing, wherein the video data are collected by an intelligent monitoring device arranged at the inlet of the device area of the wind power plant booster station and the bottom of each fan tower footing;
identifying whether the operation and maintenance personnel wear safety helmets or wear safety helmets according to the video data;
if the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet irregularly, alarm information and alarm pictures are generated;
and sending the alarm information and the alarm picture to a monitoring unit.
With reference to the second aspect, in a first implementable manner of the second aspect, identifying whether the maintenance person wears a safety helmet or whether the safety helmet is normative according to the video data includes:
decompressing the received video data;
decomposing and converting the decompressed data into a frame of RGB picture;
randomly extracting a plurality of frames of pictures from the RGB pictures;
comparing the next frame of picture with the previous frame of picture by using an artificial intelligence technology;
stripping out operation and maintenance personnel in the picture from the picture and locking the operation and maintenance personnel;
after the operation and maintenance personnel are locked, the head of the operation and maintenance personnel is identified and calculated, and whether the operation and maintenance personnel wear safety helmets or wear safety helmets is normative or not is identified;
and if the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet irregularly, generating alarm information and alarm pictures.
According to the technical scheme, the system can acquire video data at the entrance of the equipment area of the wind power station booster station and at the bottom of each fan tower footing by using the intelligent monitoring devices arranged at the entrance of the equipment area of the wind power station booster station and at the bottom of each fan tower footing, send the video data to the intelligent service unit through the optical fiber and the router, identify whether the operation and maintenance personnel wear the safety helmet or wear the safety helmet according to the video data by the intelligent service unit, generate alarm information and an alarm picture under the condition that the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet in an abnormal manner, and send the alarm information and the alarm picture to the monitoring unit; the monitoring unit receives the alarm information and the alarm picture sent by the intelligent service unit so as to facilitate the operation and maintenance personnel to take corresponding treatment measures according to the conditions.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any inventive exercise.
FIG. 1 is a schematic diagram of a detection system for detecting that a worker in a wind farm is not wearing a safety helmet.
FIG. 2 is a schematic diagram of an intelligent service unit of a wind farm operation and maintenance personnel detection system without a safety helmet.
FIG. 3 is a flowchart of a method for detecting that a wind farm operation and maintenance worker does not wear a safety helmet provided by the invention.
FIG. 4 is a flowchart of step S102 of the method for detecting that a wind farm operation and maintenance worker does not wear a safety helmet according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, the present invention provides a wind farm operation and maintenance personnel detection system without a safety helmet, and the system includes: the intelligent monitoring device comprises an intelligent monitoring device 1, a router 2, an intelligent analysis service unit 3 and a monitoring unit 4.
The intelligent monitoring device 1 is arranged at an entrance of a wind power plant booster station device region and at the bottom of each fan tower footing and is used for acquiring video data of the entrance of the wind power plant booster station device region and at the bottom of each fan tower footing. The intelligent monitoring device 1 is connected with the intelligent analysis service unit 3 through the optical fiber and the router 2, and the intelligent monitoring device 1 can send video data to the intelligent analysis service unit 3 through the optical fiber and the router 2.
The intelligent analysis service unit 3 is connected with the monitoring unit 4, the intelligent service unit 3 can identify whether the operation and maintenance personnel wear safety helmets or whether the safety helmets are standard or not according to the video data, and generates alarm information and alarm pictures under the condition that the operation and maintenance personnel do not wear safety helmets or wear safety helmets irregularly, and sends the alarm information and the alarm pictures to the monitoring unit 4. The monitoring unit 4 receives the alarm information and the alarm picture sent by the intelligent service unit, so that operation and maintenance personnel can take corresponding treatment measures according to conditions.
In addition, the intelligent monitoring device 1 is further connected with the video storage unit 5 through the optical fiber and the router 2, and the video storage unit 5 can store video data of the inlet of the equipment area of the wind power station booster station and the bottom of each fan tower footing, which are collected by the intelligent monitoring device 1, so that operation and maintenance personnel can conveniently take and check related video files. The router 2, the intelligent service unit 3, the video storage unit 5 and the monitoring unit 4 are disposed in the booster station.
As shown in fig. 2, in this embodiment, the intelligent service unit 3 may specifically include: a decompression unit 31, a conversion unit 32, an extraction unit 33, a comparison unit 34, a locking unit 35, an identification unit 36, a generation unit 37, and a transmission unit 38.
The decompression unit 31 can decompress the received video data, and the conversion unit 32 is used for decomposing and converting the decompressed video data into frame-by-frame RGB pictures. Then the extracting unit 33 randomly extracts a plurality of frames of pictures from the RGB pictures, compares the next frame of picture with the previous frame of picture by using the comparing unit 34, and strips the operation and maintenance personnel from the pictures by the locking unit 35 and locks the operation and maintenance personnel. After the operation and maintenance personnel are locked, the identification unit 36 performs identification calculation on the head of the operation and maintenance personnel, so as to identify whether the operation and maintenance personnel wear safety helmets or whether the safety helmets are worn regularly. The generating unit 37 is configured to generate alarm information and an alarm picture when the operation and maintenance personnel does not wear a safety helmet or wears an abnormal safety helmet, and send the alarm information and the alarm picture to the monitoring unit 4 through the sending unit 38. The monitoring unit 4 may also store the alarm information and the alarm picture.
According to the embodiment, the invention provides a detection system for detecting that no safety helmet is worn by operation and maintenance personnel in a wind power plant, which can acquire video data at an inlet of a device area of a booster station in the wind power plant and at the bottom of each fan tower footing by using intelligent monitoring devices arranged at the inlet of the device area of the booster station in the wind power plant and at the bottom of each fan tower footing, send the video data to an intelligent service unit through an optical fiber and a router, identify whether the operation and maintenance personnel wear the safety helmet or wear the safety helmet according to the video data by the intelligent service unit, generate alarm information and an alarm picture under the condition that the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet in an irregular manner, and send the alarm information and the alarm picture to a monitoring unit; the monitoring unit receives the alarm information and the alarm picture sent by the intelligent service unit so as to facilitate the operation and maintenance personnel to take corresponding treatment measures according to the conditions.
As shown in fig. 3, the present invention further provides a method for detecting that a wind farm operation and maintenance worker does not wear a safety helmet, where an execution subject of the method is an intelligent service unit, and the method includes:
and S101, receiving video data of the inlet of the equipment area of the wind power plant booster station and the bottom of each fan tower footing, wherein the video data are collected by intelligent monitoring devices arranged at the inlet of the equipment area of the wind power plant booster station and the bottom of each fan tower footing.
And S102, identifying whether the operation and maintenance personnel wear the safety helmet or whether the safety helmet is standard or not according to the video data.
And step S103, if the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet nonstandard, generating alarm information and alarm pictures.
And step S104, sending the alarm information and the alarm picture to a monitoring unit.
As shown in fig. 4, in this embodiment, identifying whether the operation and maintenance person wears a safety helmet or whether the safety helmet is normal according to the video data may specifically include:
step S201, decompress the received video data.
Step S202, decomposing and converting the decompressed data into a frame-by-frame RGB picture.
In step S203, a plurality of frames of pictures are randomly extracted from the RGB pictures.
And step S204, comparing the next frame of picture with the previous frame of picture by using an artificial intelligence technology.
And step S205, stripping out the operation and maintenance personnel in the picture and locking.
And S206, after the operation and maintenance personnel are locked, the head of the operation and maintenance personnel is identified and calculated, and whether the operation and maintenance personnel wear safety helmets or wear safety helmets normally is identified.
And step S207, if the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet out of specification, generating alarm information and an alarm picture.
The embodiment of the invention also provides a storage medium, and the storage medium stores a computer program, and when the computer program is executed by a processor, the computer program realizes part or all of the steps of the wind farm operation and maintenance personnel detection method without wearing safety helmets. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM) or a Random Access Memory (RAM).
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented as software plus a required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
The same and similar parts in the various embodiments in this specification may be referred to each other. The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention.
Claims (7)
1. A wind farm operation and maintenance personnel non-wearing safety helmet detection system is characterized by comprising: the intelligent monitoring system comprises an intelligent monitoring device, a router, an intelligent analysis service unit and a monitoring unit;
the intelligent monitoring device is arranged at the entrance of a booster station equipment area of the wind power plant and at the bottom of each fan tower foundation, is connected with the intelligent analysis service unit through an optical fiber and the router, and is connected with the monitoring unit;
the intelligent monitoring device is used for acquiring video data at an entrance of a device area of the wind power plant booster station and at the bottom of each fan tower footing and sending the video data to the intelligent service unit through optical fibers and the router;
the intelligent service unit is used for identifying whether the operation and maintenance personnel wear a safety helmet or whether the safety helmet is standard according to the video data, generating alarm information and an alarm picture under the condition that the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet abnormally, and sending the alarm information and the alarm picture to the monitoring unit;
and the monitoring unit is used for receiving the alarm information and the alarm picture sent by the intelligent service unit so as to facilitate operation and maintenance personnel to take corresponding treatment measures according to conditions.
2. The system of claim 1, wherein the system further comprises: the intelligent monitoring device is connected with the video storage unit through an optical fiber and the router;
and the video storage unit is used for storing video data of the inlet of the equipment area of the wind power station booster station and the bottom of each fan tower footing, which are acquired by the intelligent monitoring device.
3. The system of claim 2, wherein the intelligent service unit comprises:
the decompression unit is used for decompressing the received video data;
the conversion unit is used for decomposing and converting the decompressed data into a frame of RGB picture;
an extracting unit, configured to randomly extract a plurality of frames of pictures from the RGB pictures;
the comparison unit is used for comparing the next frame of picture with the previous frame of picture by utilizing an artificial intelligence technology;
the locking unit is used for stripping out the operation and maintenance personnel in the picture and locking the operation and maintenance personnel;
the identification unit is used for carrying out identification calculation on the head of the operation and maintenance personnel after the operation and maintenance personnel are locked, so that whether the operation and maintenance personnel wear safety helmets or whether the safety helmets are standard or not is identified;
the generating unit is used for generating alarm information and alarm pictures under the condition that operation and maintenance personnel do not wear safety helmets or wear safety helmets irregularly;
and the sending unit is used for sending the alarm information and the alarm picture to the monitoring unit.
4. The system of claim 3, wherein the router, the intelligent service unit, the video storage unit, and the monitoring unit are located at a booster station.
5. The system of claim 4, wherein the monitoring unit is further configured to store the alarm information and an alarm picture.
6. A method for detecting that a wind power plant operation and maintenance worker does not wear a safety helmet is characterized by comprising the following steps:
receiving video data of an inlet of a device area of a wind power plant booster station and the bottom of each fan tower footing, wherein the video data are collected by an intelligent monitoring device arranged at the inlet of the device area of the wind power plant booster station and the bottom of each fan tower footing;
identifying whether the operation and maintenance personnel wear safety helmets or wear safety helmets according to the video data;
if the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet irregularly, alarm information and alarm pictures are generated;
and sending the alarm information and the alarm picture to a monitoring unit.
7. The method of claim 6, wherein identifying whether the maintenance person is wearing a hard hat or is normative when wearing a hard hat based on the video data comprises:
decompressing the received video data;
decomposing and converting the decompressed data into a frame of RGB picture;
randomly extracting a plurality of frames of pictures from the RGB pictures;
comparing the next frame of picture with the previous frame of picture by using an artificial intelligence technology;
stripping out operation and maintenance personnel in the picture from the picture and locking the operation and maintenance personnel;
after the operation and maintenance personnel are locked, the head of the operation and maintenance personnel is identified and calculated, and whether the operation and maintenance personnel wear safety helmets or wear safety helmets is normative or not is identified;
and if the operation and maintenance personnel do not wear the safety helmet or wear the safety helmet irregularly, generating alarm information and alarm pictures.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011235064.1A CN112365692A (en) | 2020-11-08 | 2020-11-08 | System and method for detecting whether safety helmet is worn by operation and maintenance personnel in wind power plant |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011235064.1A CN112365692A (en) | 2020-11-08 | 2020-11-08 | System and method for detecting whether safety helmet is worn by operation and maintenance personnel in wind power plant |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743326A (en) * | 2021-09-07 | 2021-12-03 | 中国南方电网有限责任公司超高压输电公司大理局 | Safety belt wearing state monitoring system, method and device and computer equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104077581A (en) * | 2014-07-21 | 2014-10-01 | 国家电网公司 | Smart video identification method for wearing safety helmet rightly |
| CN104902227A (en) * | 2015-05-06 | 2015-09-09 | 南京第五十五所技术开发有限公司 | Substation helmet wearing condition video monitoring system |
| CN109635697A (en) * | 2018-12-04 | 2019-04-16 | 国网浙江省电力有限公司电力科学研究院 | Electric operating personnel safety dressing detection method based on YOLOv3 target detection |
-
2020
- 2020-11-08 CN CN202011235064.1A patent/CN112365692A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104077581A (en) * | 2014-07-21 | 2014-10-01 | 国家电网公司 | Smart video identification method for wearing safety helmet rightly |
| CN104902227A (en) * | 2015-05-06 | 2015-09-09 | 南京第五十五所技术开发有限公司 | Substation helmet wearing condition video monitoring system |
| CN109635697A (en) * | 2018-12-04 | 2019-04-16 | 国网浙江省电力有限公司电力科学研究院 | Electric operating personnel safety dressing detection method based on YOLOv3 target detection |
Non-Patent Citations (1)
| Title |
|---|
| 徐守坤;倪楚涵;吉晨晨;李宁;: "一种基于安全帽佩戴检测的图像描述方法研究" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743326A (en) * | 2021-09-07 | 2021-12-03 | 中国南方电网有限责任公司超高压输电公司大理局 | Safety belt wearing state monitoring system, method and device and computer equipment |
| CN113743326B (en) * | 2021-09-07 | 2024-01-19 | 中国南方电网有限责任公司超高压输电公司大理局 | Safety belt wearing state monitoring system, method, device and computer equipment |
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Application publication date: 20210212 |