CN111931760A - Method for identifying use of safety belt on electric power operation site with special mark for backup safety rope - Google Patents
Method for identifying use of safety belt on electric power operation site with special mark for backup safety rope Download PDFInfo
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- CN111931760A CN111931760A CN202010748468.4A CN202010748468A CN111931760A CN 111931760 A CN111931760 A CN 111931760A CN 202010748468 A CN202010748468 A CN 202010748468A CN 111931760 A CN111931760 A CN 111931760A
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- 238000012544 monitoring process Methods 0.000 description 7
- 238000001514 detection method Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 238000013135 deep learning Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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Abstract
The invention discloses a method for identifying the use of a safety belt on an electric power operation site specially marked by a backup safety rope, which comprises the steps of acquiring position data of patterns on a main body of the safety belt and the backup safety rope; calculating the average value of the positions of the patterns of the safety belt main body; calculating the average value of the positions of the patterns on the backup safety rope of the safety belt; comparing the difference value of the average values of the positions of the two patterns, and judging whether the difference value is greater than a set weight value; and outputting a judgment result. The invention solves the problem of influence of complex environment of an operation site on the identification of the electric safety belt, and has convenient use and good effect.
Description
Technical Field
The invention relates to a method for identifying the use of a safety belt on an electric power operation site, which is specially marked for a backup safety rope.
Background
With the rapid development of electric power construction in China, various construction and maintenance projects are also intensively developed, social attention is also paid to safety accidents caused by the fact that safety belts are not used in a standard process in the process of high-altitude operation, and how to greatly reduce the violation of regulations becomes a key problem of enterprise project and construction operation management in terms of power grid engineering. In recent years, in order to reduce the violation behaviors in field operation and call for stopping the violation operations in time, violation image identification based on video monitoring becomes a hot direction of current research. In practical field application, the problems of the method for monitoring the safety belt by using the video can be summarized into the following reasons: firstly, the interference factors are many. A plurality of operators can carry out different works on one operation site simultaneously, except that the operators who ascend the height need to wear a safety belt, the operators on the ground do not need to wear the safety belt, and the existing video monitoring method is to carry out image identification on people in the panorama, so that the monitoring system mistakenly considers the operators who do not need to wear the safety belt as not wearing the safety belt, frequent alarming is caused, and the normal monitoring of safety management personnel is influenced.
Secondly, the target is difficult to identify. The existing safety belt is waist-type and back-type, the display area of the former is small and is difficult to be identified by a machine, so that misinformation is caused, and the latter is similar to a red vest of a field safety responsible person, so that misinformation can be caused.
Thirdly, the safe use is not standardized. At present, image recognition is only carried out to distinguish two situations of whether a safety belt is used or not, but in actual work, an operator is often found to wear the safety belt, but a safety rope is not hung at a specified position or the safety belt is hung high or low, so that the protection effect of the safety belt cannot be exerted.
Therefore, how to improve the identification accuracy of the image identification system on the safety belt has important significance for standardizing the safety belt usage of the operation site and improving the safety of the high-altitude operation.
The patent 'based on a deep learning safety belt wearing identification method' provides a safety belt wearing identification based on deep learning
The method comprises the steps of training layer by utilizing a deep learning algorithm model based on driver image data acquired by road monitoring, and establishing a safety belt wearing identification model. The patent is an innovation based on an algorithm, and is greatly different from the patent. The patent 'a driver unbelted safety belt detection and identification method based on image processing' provides a method for automatically detecting and identifying that a driver does not wear a safety belt aiming at a bayonet picture shot by a high-definition monitoring camera. In the patent Adaboost-based safety belt detection method, rough positioning of a safety belt region is performed through an algorithm, candidate regions of a corresponding window, a driver region and a safety belt region are found, and post-processing is performed based on a Gaussian mixture model, so that the safety belt detection method is provided
And obtaining the recognition result of the wearing of the safety belt. The method is characterized in that a safety belt wearing identification model is established based on a neural network by performing fuzzy enhancement on an image to enhance the contrast of pixel gray levels on two sides of an edge point, then a straight line detection method is used for detecting the image, the method is applied to the safety belt wearing identification method based on the first step, a genetic algorithm is introduced to optimize a weight and a threshold value of the safety belt wearing identification model, and finally the safety belt wearing image identification is realized.
In summary, the car seat belt is similar to the identification algorithm of the seat belt in the electric power operation field, but a seat belt using method using a special mark for the seat belt is not used yet.
Disclosure of Invention
The invention aims to provide a method for identifying the use of a safety belt on an electric power operation site, which solves the problem that the complex environment on the operation site has influence on the identification of the electric safety belt and specially marks a backup safety rope.
The technical solution of the invention is as follows:
a method for identifying the use of a safety belt on an electric power operation site specially marked with a backup safety rope is characterized by comprising the following steps: the method comprises the following steps:
acquiring position data of patterns on a safety belt main body and a backup safety rope;
calculating the average value of the positions of the patterns of the safety belt main body;
calculating the average value of the positions of the patterns on the backup safety rope of the safety belt;
comparing the difference value of the average values of the positions of the two patterns, and judging whether the difference value is greater than a set weight value;
and outputting a judgment result.
The acquired data set of the special patterns wrapped on the safety belt is as follows: x = { X1, x2, x3, ……x k }，Y={y1, y2, y3, ……y k }，kThe number of data. X is the main body pattern coordinate data set and Y is the pattern coordinate data set on the back-up safety rope.
Comparing the difference value of the average values of the positions of the two patterns, judging whether the difference value is greater than a set weight value or not, and setting a weight coefficient w; and if the distance between the points to be judged is more than w, judging that the backup safety rope is not normally used, otherwise, judging that the backup safety rope is not illegal.
The invention solves the problem of influence of complex environment of an operation site on the identification of the electric safety belt, and has convenient use and good effect.
Drawings
The invention is further illustrated by the following figures and examples.
FIG. 1 is a flow chart of the identification method of the present invention.
Detailed Description
A method for identifying the use of a safety belt of an electric power operation site specially marked with a backup safety rope comprises the following steps:
acquiring position data of patterns on a safety belt main body and a backup safety rope;
calculating the average value of the positions of the patterns of the safety belt main body;
calculating the average value of the positions of the patterns on the backup safety rope of the safety belt;
comparing the difference value of the average values of the positions of the two patterns, and judging whether the difference value is greater than a set weight value;
and outputting a judgment result.
The acquired data set of the special patterns wrapped on the safety belt is as follows: x = { X1, x2, x3, ……x k }，Y={y1, y2, y3, ……y k }，kThe number of data. X is the main body pattern coordinate data set and Y is the pattern coordinate data set on the back-up safety rope.
Comparing the difference value of the average values of the positions of the two patterns, judging whether the difference value is greater than a set weight value or not, and setting a weight coefficient w; and if the distance between the points to be judged is more than w, judging that the backup safety rope is not normally used, otherwise, judging that the backup safety rope is not illegal.
Claims (3)
1. A method for identifying the use of a safety belt on an electric power operation site specially marked with a backup safety rope is characterized by comprising the following steps: the method comprises the following steps:
acquiring position data of patterns on a safety belt main body and a backup safety rope;
calculating the average value of the positions of the patterns of the safety belt main body;
calculating the average value of the positions of the patterns on the backup safety rope of the safety belt;
comparing the difference value of the average values of the positions of the two patterns, and judging whether the difference value is greater than a set weight value;
and outputting a judgment result.
2. The method for identifying the use of a backup safety line-specially marked electric power operation site safety belt according to claim 1, wherein the method comprises the following steps: the acquired data set of the special patterns wrapped on the safety belt is as follows: x = { X1, x2, x3, ……x k }，Y={y1, y2, y3, ……y k }，kThe number of the data; x is the main body pattern coordinate data set and Y is the pattern coordinate data set on the back-up safety rope.
3. The method for identifying the use of a backup safety line-specially marked electric power operation site safety belt according to claim 1, wherein the method comprises the following steps: comparing the difference value of the average values of the positions of the two patterns, judging whether the difference value is greater than a set weight value or not, and setting a weight coefficient w; and if the distance between the points to be judged is more than w, judging that the backup safety rope is not normally used, otherwise, judging that the backup safety rope is not illegal.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010748468.4A CN111931760A (en) | 2020-07-30 | 2020-07-30 | Method for identifying use of safety belt on electric power operation site with special mark for backup safety rope |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010748468.4A CN111931760A (en) | 2020-07-30 | 2020-07-30 | Method for identifying use of safety belt on electric power operation site with special mark for backup safety rope |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361714A (en) * | 2014-09-12 | 2015-02-18 | 清华大学 | Overhead work anti-cheating personal safety protection device based on computer vision |
| KR101518382B1 (en) * | 2014-01-22 | 2015-05-07 | (주) 씨플렉스코리아 | Mooring system has safety rope |
| CN109872499A (en) * | 2018-12-25 | 2019-06-11 | 大连理工大学 | A kind of block in-situ monitor alarm system based on image recognition |
| CN110404202A (en) * | 2019-06-28 | 2019-11-05 | 北京市政建设集团有限责任公司 | The detection method and device of aerial work safety belt, aerial work safety belt |
| CN111144263A (en) * | 2019-12-20 | 2020-05-12 | 山东大学 | Construction worker high-fall accident early warning method and device |
-
2020
- 2020-07-30 CN CN202010748468.4A patent/CN111931760A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101518382B1 (en) * | 2014-01-22 | 2015-05-07 | (주) 씨플렉스코리아 | Mooring system has safety rope |
| CN104361714A (en) * | 2014-09-12 | 2015-02-18 | 清华大学 | Overhead work anti-cheating personal safety protection device based on computer vision |
| CN109872499A (en) * | 2018-12-25 | 2019-06-11 | 大连理工大学 | A kind of block in-situ monitor alarm system based on image recognition |
| CN110404202A (en) * | 2019-06-28 | 2019-11-05 | 北京市政建设集团有限责任公司 | The detection method and device of aerial work safety belt, aerial work safety belt |
| CN111144263A (en) * | 2019-12-20 | 2020-05-12 | 山东大学 | Construction worker high-fall accident early warning method and device |
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Application publication date: 20201113 |