CN114820624A - Marine steel wire rope wear degree detection method based on artificial intelligence - Google Patents
Marine steel wire rope wear degree detection method based on artificial intelligence Download PDFInfo
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Abstract
The invention relates to the technical field of wear degree detection, in particular to a method for detecting the wear degree of a marine steel wire rope based on artificial intelligence, which comprises the following steps: after the steel wire rope winding drum finishes winding one layer, a plurality of steel wire rope images are obtained around the cylindrical surface of the steel wire rope winding drum; for each steel wire rope image, acquiring a plurality of abrasion areas in the steel wire rope image; for each wear region, calculating the region wear degree according to the current area and the area expansion speed of the wear region; correcting the regional wear degree of each wear region; calculating the single-layer abrasion degree of each layer of steel wire rope based on the corrected area abrasion degree of each abrasion area in the same layer; and acquiring the integral abrasion degree of the steel wire rope according to the single-layer abrasion degree of each layer of steel wire rope on the steel wire rope drum. Compared with a manual detection mode, the method has the advantages of high detection speed and high detection precision.
Description
Technical Field
The invention relates to the field of wear degree detection, in particular to a method for detecting the wear degree of a marine steel wire rope based on artificial intelligence.
Background
The marine steel wire rope can be applied to multiple aspects of hoisting, lifting, traction, tensioning, bearing and the like of goods and rescue boats, and is an indispensable important appliance on a ship. The sunshine time is long and air humidity is big at sea for wire rope can produce wearing and tearing even fracture in the use unavoidably. After the steel wire rope is worn, the steel wire rope is easy to break during binding, dragging and hoisting along with the prolonging of the service life, so that materials bound, dragged and hoisted are damaged, and even the safety of operation and related personnel is endangered. Therefore, it is very important to design a method for evaluating the abrasion degree of the steel wire rope, judge the danger degree of the steel wire rope and send out early warning in time.
The existing steel wire rope abrasion detection technology is mostly traditional manual detection, the detection method wastes time and labor, the accuracy of detection results is not high, the steel wire ropes of large ships are long, the abrasion degree after the large ships are used at every time is different, the method for manual detection is difficult to judge the danger degree of the steel wire ropes in time, and corresponding prevention treatment cannot be carried out.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a method for detecting the abrasion degree of a marine steel wire rope based on artificial intelligence, which adopts the following technical scheme:
one embodiment of the invention provides a method for detecting the abrasion degree of a marine steel wire rope based on artificial intelligence, which comprises the following specific steps:
after the steel wire rope winding drum finishes winding one layer, a plurality of steel wire rope images are obtained around the cylindrical surface of the steel wire rope winding drum;
for each steel wire rope image, acquiring a plurality of abrasion areas in the steel wire rope image; for each wear region, calculating the region wear degree according to the current area and the area expansion speed of the wear region; correcting the regional wear degree of each wear region;
calculating the single-layer abrasion degree of each layer of steel wire rope based on the corrected area abrasion degree of each abrasion area in the same layer; and acquiring the integral abrasion degree of the steel wire rope according to the single-layer abrasion degree of each layer of steel wire rope on the steel wire rope drum.
Further, the area wear degree is in positive correlation with the current area of the worn area and the area expansion speed.
Further, setting weight for the single-layer abrasion degree of each layer of steel wire rope, wherein the weight of the outer layer of steel wire rope is greater than that of the inner layer of steel wire rope; and weighting and summing the single-layer abrasion degrees of the steel wire ropes of all layers to obtain the integral abrasion degree of the steel wire ropes.
Further, the regional wear degree of each wear region is corrected, specifically:
for each wear area, the wear area which is in the same steel wire rope image with the wear area and is positioned in the same wire groove is taken as a related area; and acquiring the distance between the wear area and each associated area, wherein the product of the sum of the wear degree of the associated area before correction and the distance ratio and the area wear degree of the wear area is the corrected area wear degree.
Further, the area expansion speed of each wear area is obtained specifically as follows:
for each wear area, acquiring the historical area of the wear area obtained last time; and acquiring an expansion area according to the current area and the historical area of the wear area, wherein the ratio of the expansion area to the current area is an area expansion speed.
Further, based on the corrected area wear degree of each wear area in the same layer, the single-layer wear degree of each layer of steel wire rope is calculated, specifically:
the sum of the corrected zone wear levels of each wear zone in the same layer is the single layer wear level of one layer of the steel cord.
And further, based on the semantic segmentation neural network, acquiring a plurality of abrasion areas in the steel wire rope image.
The embodiment of the invention at least has the following beneficial effects: according to the invention, after the steel wire rope is used each time, the steel wire rope image is obtained, the integral abrasion degree of the steel wire rope is obtained based on the steel wire rope image, and whether hidden risks exist in the continuous use of the steel wire rope can be known based on the integral abrasion degree of the steel wire rope; compared with a manual detection mode, the method has the advantages of high detection speed and high detection precision.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flowchart illustrating steps according to an embodiment of the present invention.
Detailed Description
In order to further illustrate the technical means and effects of the present invention adopted to achieve the predetermined invention purpose, the following detailed description will be given to the specific implementation, structure, features and effects of the artificial intelligence based marine steel wire rope wear degree detection method according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The main purposes of the invention are: by means of computer vision, the abrasion area of the steel wire rope is extracted by processing the collected steel wire rope image of each layer, the abrasion degree of the steel wire rope is evaluated based on the abrasion area, and whether the current steel wire rope can be continuously used or not is judged, so that early warning is timely carried out, and a worker is reminded to carry out corresponding processing.
The following application scenarios are taken as examples to illustrate the present invention: the camera is fixed to the bottom of the winding drum support through the mechanical arm, when the steel wire rope needs to be wound, the mechanical arm is lifted up, the camera is located above the steel wire rope winding drum and is opposite to the winding drum, winding drum steel wire rope images are collected at certain intervals, and the mechanical arm falls down after collection is completed, so that interference on daily work of the steel wire rope is prevented. By processing the steel wire rope image, the steel wire rope abrasion degree can be timely judged according to the abrasion area in the image. It should be noted that the present invention does not limit the placement position and the calling method of the camera and the position of the camera when capturing an image.
The specific scheme of the marine steel wire rope wear degree detection method based on artificial intelligence is described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a flowchart illustrating steps of a method for detecting a wear level of a marine steel wire rope based on artificial intelligence according to an embodiment of the present invention is shown, where the method includes the following steps:
after the steel wire rope winding drum finishes winding one layer, a plurality of steel wire rope images are obtained around the cylindrical surface of the steel wire rope winding drum;
for each steel wire rope image, acquiring a plurality of abrasion areas in the steel wire rope image; for each wear region, calculating the region wear degree according to the current area and the area expansion speed of the wear region; correcting the regional wear degree of each wear region;
calculating the single-layer abrasion degree of each layer of steel wire rope based on the corrected area abrasion degree of each abrasion area in the same layer; and acquiring the integral abrasion degree of the steel wire rope according to the single-layer abrasion degree of each layer of steel wire rope on the steel wire rope drum.
The above steps are explained in detail below:
step one, after the steel wire rope reel is wound by one layer, a plurality of steel wire rope images are obtained around the cylindrical surface of the steel wire rope reel.
Adjusting the focal length of the camera according to the working distance from the camera to the surface of the winding drum, so that the sampling range of the camera is the length of the winding drum; because the rotating speed of the winding drum is constant, the winding drum is limited by the wire chase, and the number of turns of each layer of steel wire rope on the winding drum is the same, the time for finishing the storage of each layer of steel wire rope is the same, the time required when the steel wire rope is stored to the last turn of each layer is calculated according to the rotating speed of the winding drum and the number of turns of the wire chase, and the time interval T for collecting the image of each layer of steel wire rope by the camera is determined; because the steel wire rope reel on the ship is large in size, in order to ensure the detection accuracy, the invention collects the steel wire rope image (the circumferential image of the steel wire rope) of each layer by N times, namely collects the steel wire rope image of 1/N circumference each time, and calculates the time interval required by the reel to rotate the 1/N circumference according to the rotating speed of the reel so as to determine the sampling frequency of the camera. The camera starts to collect every T, N images are collected every time, and each image corresponds to 1/N circumference of the winding drum; preferably, the value of N in the embodiment is 4.
According to the mode of collecting the images, N steel wire rope images corresponding to each layer of steel wire ropes can be obtained.
Step two, acquiring a plurality of abrasion areas in the steel wire rope image for each steel wire rope image; for each wear region, calculating the region wear degree according to the current area and the area expansion speed of the wear region; the extent of zone wear is corrected for each worn zone.
(1) For each wire rope image, several wear areas in the wire rope image are acquired.
Preferably, because the steel wire rope has more specifications and various wear types, in order to enable the steel wire rope to be suitable for various situations and enhance the generalization capability of the steel wire rope, the embodiment is based on the semantic segmentation neural network to obtain a plurality of wear areas in the steel wire rope image. The network structure of the semantic segmentation neural network is an Encoder-Decoder structure, wherein the training process of the semantic segmentation neural network is as follows: the data set is an image of the abrasion defect of each steel wire rope, and the image in the data set is input into a semantic segmentation neural network; the labels are divided into two types, namely steel wire rope abrasion defects and backgrounds, the mode is pixel-level classification, namely all pixels in an image need to be labeled with corresponding labels, the pixels belong to the steel wire rope abrasion defects, and the value of the pixels is labeled as 1; a pixel belonging to the background, the value of which is labeled 0; the loss function used for training the semantic segmentation neural network is a cross entropy loss function.
And processing the steel wire rope image by using the trained semantic segmentation neural network to obtain a wear region mask, and extracting a plurality of wear regions in the steel wire rope image by using the wear region mask.
(2) For each wear region, a regional wear level is calculated based on the current area and the area expansion rate of the wear region. Wherein the area wear degree is in positive correlation with the current area and the area expansion speed of the wear area.
Since the wear type of the steel cord is large, the area expansion rates of different types of wear defects are different, wherein the wear defect with the higher area expansion rate is more likely to cause the steel cord at the position to be snapped, and considering that there may be cases where the wear area is large but the area expansion rate is slow or the wear area is small but the area expansion rate is high, when evaluating the wear degree of the steel cord, it is necessary to pay attention to the area expansion rate of the wear area in addition to the area of the wear area.
The area of the wear area is obtained, the area of the wear area is optimally adjusted according to the area expansion speed, the area wear degree is obtained, specifically, the faster the area expansion speed is, the larger the optimal adjustment amplitude is, the larger the increase of the area of the wear area after the optimal adjustment is relative to the area of the wear area, and correspondingly, the larger the area wear degree is, otherwise, the smaller the increase of the area of the wear area after the optimal adjustment is.
The area expansion speed of each wear area is obtained specifically as follows: for each wear area, acquiring the historical area of the wear area obtained last time; and acquiring an expansion area according to the current area and the historical area of the wear area, wherein the ratio of the expansion area to the current area is an area expansion speed.
As an example, the regional wear level of each wear region is obtained by:
the extent of the wear in the area that is worn,
the larger the value, the more severe the wear condition characterizing the worn area;
acquiring the current area of each wear area according to the currently acquired steel wire rope image for the current area of the wear area;
obtaining the historical area of each wear area according to a steel wire rope image collected after the previous steel wire rope is used for the historical area of the wear area obtained in the previous time;
in order to increase the area expansion rate,
is a normalization means.
(3) The extent of zone wear is corrected for each worn zone.
Due to the constraint of the winding drum wire grooves, the steel wire ropes are neatly arranged on the winding drum after being stored, and the wire groove width of the winding drum is constant, so that the width of each wire groove in the whole winding drum length range corresponds to one section of the steel wire rope, and if a plurality of small abrasion areas are contained in one section of the steel wire rope in one wire groove, the closer the distances among the abrasion areas are, the more possible mutual influence is, the larger abrasion area is gradually developed, and the possibility that the steel wire rope at the position is stretched and broken in the using process is increased; and because the ship winding drum is generally large, the interval between two adjacent wire casings is large, and therefore the mutual influence of the abrasion areas in the two adjacent wire casings is not considered.
The correction process of the regional wear degree specifically comprises the following steps: for each wear area, the wear area which is in the same steel wire rope image with the wear area and is positioned in the same wire groove is taken as a related area; and acquiring the distance between the wear area and each associated area, wherein the product of the sum of the wear degree of the associated area before correction and the distance ratio and the area wear degree of the wear area is the corrected area wear degree.
In one embodiment, the distance between a wear area and its associated area is obtained by: and acquiring a minimum external rectangle of each wear area, wherein the intersection point of diagonals of the minimum external rectangle is the central point of each wear area, and the distance is the distance between the central points corresponding to the two wear areas.
In another embodiment, the distance between a wear area and its associated area is obtained by: and acquiring a minimum circumscribed circle of each wear area, wherein the circle center of the minimum circumscribed circle is the central point of each wear area, and the distance is the distance between the central points corresponding to the two wear areas.
Specifically, for each wear region, the acquisition mode of the region wear degree after the wear region correction is as follows:
Step three, calculating the single-layer abrasion degree of each layer of steel wire rope based on the corrected area abrasion degree of each abrasion area in the same layer; and acquiring the integral abrasion degree of the steel wire rope according to the single-layer abrasion degree of each layer of steel wire rope on the steel wire rope drum.
(1) Calculating the single-layer abrasion degree of each layer of steel wire rope based on the corrected area abrasion degree of each abrasion area in the same layer, specifically comprising the following steps: the sum of the corrected zone wear levels of each wear zone in the same layer is the single layer wear level of one layer of the steel cord.
(2) And acquiring the integral abrasion degree of the steel wire rope according to the single-layer abrasion degree of each layer of steel wire rope on the steel wire rope drum.
In one embodiment, the sum of the individual layer wear levels of the steel cords on each layer of the cord reel is the overall wear level of the steel cords.
In another embodiment, weight is set for the single-layer abrasion degree of each layer of steel wire rope, and the weight of the outer layer of steel wire rope is greater than that of the inner layer of steel wire rope; and weighting and summing the single-layer abrasion degrees of the steel wire ropes of all layers to obtain the integral abrasion degree of the steel wire ropes.
Further, the embodiment performs normalization processing on the overall wear degree of the steel wire rope, and as an example, the normalization means used in the embodiment is:
The implementer can also select other normalization modes to perform normalization processing on the overall abrasion degree of the steel wire rope.
Wherein, for every layer of wire rope's individual layer degree of wear sets up the weight, specific weight setting mode is:
in one embodiment, the number of layers of shot steel wire ropes is artificially marked by N steel wire rope images acquired by a camera each time, and the number of the layers of the N steel wire rope images acquired at one time is the same; the number of layers is counted from the reel, from the inside to the outside. And calculating the weight of the single-layer abrasion degree of each layer of steel wire rope based on the marked layer number, wherein specifically, the ratio of the corresponding layer number to the total layer number of each layer of steel wire rope is the weight.
In another embodiment, the depth image of the wire rope is obtained while the image of the wire rope is obtained, the number of layers corresponding to each layer of the wire rope is obtained based on the depth information of the wire rope pixels and the pre-obtained depth information-layer number correspondence, and the weight corresponding to the single-layer wear degree is obtained based on the number of layers of the wire rope.
It should be noted that if only a part of the steel wire ropes is used when the steel wire ropes are used at the present time, that is, when the steel wire ropes are wound up after being used up, the steel wire ropes exist on the winding drum, and the single-layer wear degree of each layer of the steel wire ropes which are not used is the single-layer wear degree obtained after the steel wire ropes are used up at the previous time.
The use danger level of the steel wire rope is determined according to the overall wear degree of the steel wire rope, specifically, a corresponding relation library of the overall wear degree and the use danger level can be established in advance, and the use danger level of the steel wire rope corresponding to the currently acquired overall wear degree of the steel wire rope is acquired based on the corresponding relation library. When the use danger level of the steel wire rope reaches the level that the steel wire rope cannot be used continuously, the worker is reminded of replacing the steel wire rope in time.
It should be noted that the invention can not only detect the abrasion degree of the marine steel wire rope, but also detect the abrasion degree of the steel wire rope in the scenes such as a crane and the like.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. A ship steel wire rope wear degree detection method based on artificial intelligence is characterized by comprising the following steps:
after the steel wire rope winding drum finishes winding one layer, a plurality of steel wire rope images are obtained around the cylindrical surface of the steel wire rope winding drum;
for each steel wire rope image, acquiring a plurality of abrasion areas in the steel wire rope image; for each wear region, calculating the region wear degree according to the current area and the area expansion speed of the wear region; correcting the regional wear degree of each wear region;
calculating the single-layer abrasion degree of each layer of steel wire rope based on the corrected area abrasion degree of each abrasion area in the same layer; and acquiring the integral abrasion degree of the steel wire rope according to the single-layer abrasion degree of each layer of steel wire rope on the steel wire rope drum.
2. The method of claim 1, wherein the extent of wear of the region is positively correlated to both the current area of the worn region and the rate of area expansion.
3. A method according to claim 2, characterized by weighting the wear level of a single layer of each layer of steel cords, the weight of the outer layer being greater than the weight of the inner layer; and weighting and summing the single-layer abrasion degrees of the steel wire ropes of all layers to obtain the integral abrasion degree of the steel wire ropes.
4. A method according to claim 3, characterized in that the zone wear level of each wear zone is modified by:
for each wear area, the wear area which is in the same steel wire rope image with the wear area and is positioned in the same wire groove is taken as a related area; and acquiring the distance between the wear area and each associated area, wherein the product of the sum of the wear degree of the associated area before correction and the distance ratio and the area wear degree of the wear area is the corrected area wear degree.
5. The method according to claim 4, characterized in that the rate of area expansion of each wear zone is obtained by:
for each wear area, acquiring the historical area of the wear area obtained last time; and acquiring an expansion area according to the current area and the historical area of the wear area, wherein the ratio of the expansion area to the current area is an area expansion speed.
6. The method according to claim 5, characterized in that the wear level of the individual layer of the steel cord is calculated on the basis of the corrected zone wear level of each wear zone in the same layer, in particular:
the sum of the corrected zone wear levels of each wear zone in the same layer is the single layer wear level of one layer of the steel cord.
7. The method of claim 6, wherein the plurality of wear regions in the image of the wire rope are obtained based on semantically segmenting the neural network.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001141703A (en) * | 1999-11-09 | 2001-05-25 | Kyosan Electric Mfg Co Ltd | Flaw detector for wire rope |
| CN110320265A (en) * | 2019-06-18 | 2019-10-11 | 枣庄学院 | A kind of steel wire rope of hoist fracture of wire checking test and its detection method |
| CN111862083A (en) * | 2020-07-31 | 2020-10-30 | 中国矿业大学 | Comprehensive monitoring system and method for steel wire rope state based on vision-electromagnetic detection |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001141703A (en) * | 1999-11-09 | 2001-05-25 | Kyosan Electric Mfg Co Ltd | Flaw detector for wire rope |
| CN110320265A (en) * | 2019-06-18 | 2019-10-11 | 枣庄学院 | A kind of steel wire rope of hoist fracture of wire checking test and its detection method |
| CN111862083A (en) * | 2020-07-31 | 2020-10-30 | 中国矿业大学 | Comprehensive monitoring system and method for steel wire rope state based on vision-electromagnetic detection |
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