CN117011273A - Intelligent scrap steel grade judging method, device, equipment and medium - Google Patents
Intelligent scrap steel grade judging method, device, equipment and medium Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 144
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Abstract
The application provides an intelligent scrap steel grade judging method, device, equipment and medium, wherein the method comprises the following steps: when the vehicle to be detected enters the region to be detected, controlling the lifting equipment to move to the upper part of the vehicle to be detected along the guide rails on two sides, wherein the region to be detected is positioned between the guide rails on two sides, the two ends of the lifting equipment are provided with the dome camera cameras, and the movable carrying equipment is arranged between the two ends of the lifting equipment; identifying a vehicle to be detected and a discharging area through a camera of the ball machine so as to control the carrying equipment to carry the scrap steel in the vehicle to be detected to the discharging area in a layered manner, and acquiring a target shooting image of the upper layer of the vehicle to be detected through the camera of the ball machine after the carrying equipment finishes one layer of discharging; according to the target shooting image of each layer, the grade analysis is carried out on the scrap steel of the vehicle to be detected, the method is not limited by site conditions, is easy to realize, and avoids the cost of site reconstruction, thereby ensuring the open site for scrap steel sorting.
Description
Technical Field
The present application relates to communications technologies, and in particular, to an intelligent scrap steel grading method, apparatus, device, and medium.
Background
With the progress of technology, the generation of the scrap steel grade judging system brings great convenience for the quality detection of scrap steel, and the existing scrap steel grade judging system generally has two data acquisition methods, namely, a gun camera image acquisition module is installed at a fixed position, and the field needs to meet the requirement of equipment installation; and secondly, the image acquisition module is installed in a mobile trolley, and the trolley only runs on a fixed route.
Both the above two methods need to reform the field to make the field conform to the standard of installing the fixed image acquisition module, that is, the shooting target position in the field cannot be changed, or a special operation area needs to be set for the shooting trolley, the above scene steel factory enterprises all need to bear high reform cost, and the waste steel sorting needs to be conducted on an open field, so that the appointed functional area is not easy to be deployed at will.
In summary, the arrangement of the scrap steel grade judging system in the prior art has the problems of high cost and difficult realization of sites.
Disclosure of Invention
The application provides an intelligent scrap steel grade judging method, device, equipment and medium, which are used for solving the problems of high cost and difficult realization of places aiming at the arrangement of a scrap steel grade judging system in the prior art.
In a first aspect, the application provides an intelligent scrap steel grade judging method, which comprises the following steps:
when the fact that a vehicle to be detected enters a region to be detected is determined, controlling lifting equipment to move to the position above the vehicle to be detected along guide rails on two sides, wherein the region to be detected is located between the guide rails on two sides, cameras of a dome camera are arranged at two ends of the lifting equipment, and movable carrying equipment is arranged between the two ends of the lifting equipment;
identifying the vehicle to be detected and the unloading area through the dome camera so as to control the carrying equipment to carry the scrap steel in the vehicle to be detected to the unloading area in a layered manner, and acquiring a target shooting image of the upper layer of the vehicle to be detected through the dome camera after the carrying equipment finishes one layer of unloading;
and according to the target shooting image of each layer, judging and analyzing the scrap steel of the vehicle to be detected.
In one possible implementation manner, after the handling device finishes one-layer unloading, the acquiring, by the dome camera, a target shooting image of an upper layer of the vehicle to be inspected includes:
after a layer of target shooting image is obtained through a dome camera, storing the target shooting image and taking the target shooting image as a reference image;
when the carrying equipment finishes one-time unloading and is again ready for unloading, acquiring a current shooting image through the camera of the dome camera, and judging whether repeated contents exist in a preset area of the current shooting image and the reference image;
if not, taking the current shooting image as a target shooting image of a new layer;
if yes, continuing unloading until no repeated content exists in the preset area of the current shooting image and the reference image, which are obtained when unloading is prepared again, and taking the current shooting image as a target shooting image of a new layer.
In one possible implementation, the focal length f of the dome camera satisfies the following condition:
wherein f is the focal length, L is the viewing distance, m is the horizontal distance from the camera of the dome camera to the region to be inspected, h 1 H is the height of the camera of the dome camera from the ground 2 For vehicles to be inspectedHeight, h 3 Is the imaging height of the camera of the dome camera.
In one possible implementation manner, before the vehicle to be inspected enters the area to be inspected, the method further includes:
acquiring an image of a vehicle which does not enter the region to be detected through the dome camera, and identifying a license plate number of the vehicle through the image;
judging whether the vehicle is a vehicle to be detected or not according to the license plate number and the database; the database stores a first weight of a vehicle to be detected and a corresponding license plate number;
if yes, determining that the vehicle is a vehicle to be detected, broadcasting first prompt information to the vehicle to be detected, and prompting the vehicle to be detected to drive to the region to be detected;
if not, broadcasting a second prompt message to the vehicle to prompt the vehicle to weigh.
In one possible implementation manner, before the analyzing the scrap steel of the vehicle to be inspected according to the target shooting image of each layer, the method further includes:
acquiring a second weight and a license plate number of the vehicle to be detected;
obtaining a difference value between the first weight and the second weight, wherein the difference value is the weight of scrap steel in the vehicle to be detected;
the method for judging and analyzing the scrap steel of the vehicle to be detected according to the target shooting image of each layer comprises the following steps:
and according to the target shooting image of each layer and the scrap steel weight, performing judgment analysis on the scrap steel of the vehicle to be detected.
In one possible implementation manner, the determining and analyzing the scrap steel of the vehicle to be inspected according to the target shot image of each layer and the scrap steel weight includes:
deep learning processing is carried out on the target shooting images of each layer, and sub-analysis results corresponding to the images of each layer are obtained;
and obtaining a grade judging result of the scrap steel in the vehicle to be detected according to the sub-analysis result corresponding to each layer of image and the weight of the scrap steel.
In one possible implementation manner, after the analysis is performed on the scrap steel of the to-be-inspected vehicle according to the target photographed image of each layer, the method further includes:
transmitting the judgment result obtained by the judgment analysis to a user terminal;
and when receiving a review request fed back by the user terminal, forwarding the review request to a quality inspection terminal so as to enable quality inspection personnel corresponding to the quality inspection terminal to conduct manual review.
In a second aspect, the present application provides an intelligent scrap steel grade determining device, the device comprising:
the device comprises an adjusting module, a lifting device, a control module and a control module, wherein the adjusting module is used for controlling the lifting device to move to the upper part of the vehicle to be detected along guide rails on two sides after determining that the vehicle to be detected enters the region to be detected, the region to be detected is positioned between the guide rails on two sides, the two ends of the lifting device are provided with spherical camera cameras, and movable carrying devices are arranged between the two ends of the lifting device;
the identification module is used for identifying the vehicle to be detected and the unloading area through the dome camera so as to control the carrying equipment to carry the scrap steel in the vehicle to be detected to the unloading area in a layered manner, and acquiring a target shooting image of the upper layer of the vehicle to be detected through the dome camera after the carrying equipment finishes one layer of unloading;
and the processing module is used for judging and analyzing the scrap steel of the vehicle to be detected according to the target shooting image of each layer.
In a third aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for performing the method of any one of the first aspects when executed by a processor.
In a fourth aspect, the present application provides an electronic device comprising: at least one processor and memory; wherein,
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method of any one of the first aspects.
According to the intelligent scrap steel grade judging method, device, equipment and medium, after a vehicle to be detected enters a region to be detected, the lifting equipment is controlled to move to the position above the vehicle to be detected along the guide rail, the steel scraps in the vehicle to be detected are discharged in layers by the carrying equipment on the lifting equipment based on the position of the vehicle to be detected and the discharging region, in the discharging process, the image of each layer of steel scraps is acquired by the cameras of the ball machines at two ends of the lifting equipment, the analysis is carried out according to the image of the steel scraps of the vehicle to be detected, and meanwhile, the focal length of the cameras is determined according to the position of the cameras and the region to be detected, so that the specific camera equipment is determined, the using effect is ensured, the equipment purchase cost is reduced at the same time.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic diagram of an intelligent scrap steel grade judging scene provided by an embodiment of the application;
FIG. 2 is a flowchart of an intelligent scrap steel grade judging method provided by an embodiment of the application;
fig. 3 is a schematic diagram of a camera position of a dome camera according to an embodiment of the present application;
FIG. 4 is a second flowchart of an intelligent scrap steel grade judging method according to an embodiment of the present application;
FIG. 5 is a flowchart III of an intelligent scrap steel grade judging method provided by the embodiment of the application;
FIG. 6 is a schematic diagram of an intelligent scrap steel grade judging system provided by an embodiment of the application;
FIG. 7 shows an intelligent scrap steel grade judging device provided by the embodiment of the application;
fig. 8 is a schematic diagram of hardware of an electronic device according to an embodiment of the present application.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
The scrap steel is the only renewable resource which can replace iron ore for steelmaking, is environment-friendly and can be recycled for many times, and along with the acceleration of industrialization process, the production amount of the scrap steel and the consumption amount thereof in steel smelting are also rapidly increased, and the identification and judgment requirements on the grade of the scrap steel are also generated, because the quality of the scrap steel is directly related to the quality, quality and smelting period of the steel smelting, and finally the benefit of a steel plant is influenced. The management and smelting use of scrap steel quality become the focus and the focus of attention of steel enterprises, the scrap steel variety is many, and actual detection sight is complicated, and the manual system links up the degree of difficulty greatly, and the inspection of traditional scrap steel is decided by the vision mainly to the level, and caliper measurement and production facility, technical center supervisor jointly judge, and the human factor is big, and the procedure is loaded down with trivial details, and the quality objection of judging is more.
In the prior art, in order to reduce the influence caused by the above human factors, there are two general data acquisition schemes, one is to install a camera at a fixed position, and has a requirement on a site, and is not applicable to a scene that outdoor hoisting equipment moves along a track, and the other is a mobile acquisition method, wherein the camera is installed in a mobile trolley, images at different positions are acquired by means of the movement of the mobile trolley, but the mobile trolley needs to run on a fixed route, and has a certain limitation, if the two schemes are adopted, the site needs to be modified, so that a steel mill enterprise needs to bear high modification cost, and the modification of the steel enterprise in production is not practical, and at the same time, the waste steel sorting needs to be carried out on an open site and can not be deployed on a random route, and in order to improve the sorting speed, the vehicle can not wait for sorting in the fixed area, therefore, the existing data acquisition method cannot be flexibly used for sorting the waste steel under multiple scenes.
Based on the method, for lifting equipment capable of moving on a track, cameras of a ball machine are erected on two ends of the lifting equipment, the cameras can identify vehicles to be detected and unloading areas for controlling conveying equipment to carry steel scraps in the vehicles to be detected in a layered manner, each layer of steel scraps can be intelligently identified for analysis of the steel scraps of the vehicles to be detected, and the method is easy to realize and avoids site transformation.
The specific application scenario of the present application is shown in fig. 1, fig. 1 is a schematic diagram of an intelligent scrap steel grade judging scenario provided in the embodiment of the present application, in which, after a to-be-detected vehicle enters into an area in two guide rails 101, one to-be-detected area is stopped, a lifting device 103 moves to above the to-be-detected vehicle along the two guide rails 101, the lifting device 103 is a gantry crane, and ball camera 102 installed on two ends of the lifting device 103 identifies the carriage position and the unloading area of the to-be-detected vehicle, so as to determine the carrying track of a carrying device 104 on the lifting device 103, during the carrying process, the carrying device 104 can move and adjust along the direction perpendicular to the guide rails 101, so as to align the carriage position, and carry the scrap steel in the carriage to the unloading area, meanwhile, the ball camera 102 can intelligently judge the shooting time according to the carrying track, when a new layer of scrap steel is not blocked, obtain images of each layer of scrap steel in the carriage, and grade judging the scrap steel in the to-be-detected vehicle according to the images of each layer of scrap steel.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a flowchart of an intelligent scrap steel grade judging method provided by an embodiment of the application. As shown in fig. 2, the method includes:
s201, after a vehicle to be detected enters a region to be detected, controlling lifting equipment to move to the position above the vehicle to be detected along guide rails on two sides, wherein the region to be detected is positioned between the guide rails on two sides, the two ends of the lifting equipment are provided with dome cameras, and movable carrying equipment is arranged between the two ends of the lifting equipment.
In this step, after the vehicle to be inspected enters the area to be inspected, it indicates that the sorting and unloading work is required, and at this time, the lifting device is controlled to move to above the vehicle to be inspected along the guide rails, and the condition that the vehicle in the area to be inspected is driven in can be monitored by the cameras at two ends of the lifting device, so that the cameras are a combination of at least two cameras, can be respectively erected at two ends of the device, and can cover the area between the two guide rails.
S202, identifying the vehicle to be detected and the unloading area through the dome camera so as to control the carrying equipment to carry the scrap steel in the vehicle to be detected to the unloading area in a layered mode, and acquiring a target shooting image of the upper layer of the vehicle to be detected through the dome camera after the carrying equipment finishes one layer of unloading.
In the step, the ball camera can identify the carriage of the vehicle in the to-be-detected area and the preset unloading area through the image correlation identification algorithm, so that the carrying track of the carrying device is determined, according to the carrying track, the shooting time of the ball camera can be determined, namely, the carrying device carries the scrap steel in the carriage in a layered manner according to the carrying track, and in each carrying process, the ball camera shoots the scrap steel image of the uppermost layer in the carriage.
It should be noted that, the target shot image corresponding to each layer of scrap steel may be pre-processed, and for example, during each handling, the shot image corresponding to each layer of scrap steel in the carriage is shot, and since only a part of scrap steel in one layer is handled at a time, it is necessary to determine whether the upper layer of scrap steel has been handled according to the image, and when the scrap steel in the complete next layer is revealed, the acquired image is the shot image of the target of the next layer of scrap steel,
specifically, the selection of the dome camera may be specifically selected according to the actual scene, so that under the condition of being able to adapt to the scene, the cost is saved, the camera with too high configuration is avoided from being selected, and unnecessary expenditure is increased.
Fig. 3 is a schematic diagram of a position of a dome camera according to an embodiment of the present application, as shown in fig. 3, including a device 301, a dome camera 302 at one end thereof, and a vehicle 303 to be inspected, where a focal length f of the dome camera 302 satisfies the following conditions:
wherein f is the focal length, L is the viewing distance, m is the horizontal distance from the camera of the dome camera to the region to be inspected, h 1 H is the height of the camera of the dome camera from the ground 2 For the height of the vehicle to be detected, h 3 Is the imaging height of the camera of the dome camera.
The maximum distance of the horizontal distance m between the dome camera and the region to be detected is equal to the difference between the width of the lifting equipment and the length of the carriage, and the height h between the dome camera and the ground 1 The maximum value of (2) is equal to the height of the hoisting equipment, and the imaging height h of the dome camera 3 Is known, is a fixed parameter of the camera, the height h of the vehicle to be inspected 2 For the height of the general loading vehicles, if the vehicles are inconsistent, average number can be obtained, the position of the vehicle to be detected is the area to be detected, and the focal length of the camera determined according to the method accords with the application of the actual scene.
In addition, the camera can also have an infrared function, and forms an infrared energy map according to different reflected infrared energy of different objects, and the foreign matters are distinguished according to target temperature distribution.
S203, according to the target shooting image of each layer, performing judgment analysis on the scrap steel of the vehicle to be detected.
In this step, the type of scrap is analyzed based on the target photographed image of each layer, and the scrap is classified, thereby determining the value of the scrap loaded in the vehicle.
Illustratively, sending the grade judgment result obtained by the grade judgment analysis to the user terminal;
and when receiving a review request fed back by the user terminal, forwarding the review request to a quality inspection terminal so as to enable quality inspection personnel corresponding to the quality inspection terminal to conduct manual review.
According to the intelligent scrap steel grade judging method, after a vehicle to be detected enters a region to be detected, lifting equipment is controlled to move to the position above the vehicle to be detected along the guide rail, steel scraps in the vehicle to be detected are discharged in layers by carrying equipment on the lifting equipment based on the position of the vehicle to be detected and a discharging region, in the discharging process, cameras of a ball machine positioned at two ends of the lifting equipment acquire images of each layer of steel scraps, the analysis is carried out on the steel scraps of the vehicle to be detected according to the images, meanwhile, the focal length of the cameras is determined according to the position of the cameras and the region to be detected, so that the specific camera equipment is determined, the using effect is ensured, meanwhile, the equipment purchase cost is reduced.
Fig. 4 is a flowchart second of an intelligent scrap steel grade judging method provided by an embodiment of the application. As shown in fig. 4, the method includes:
s401, after a layer of target shooting images are acquired through a dome camera, the target shooting images are stored and used as reference images.
In this step, the target shot image corresponds to the image of each layer of scrap steel which is not repeated completely, and before the target shot image of the layer is acquired, more than one transfer is generally required, so in order to identify the last transfer of the previous layer, the target shot image corresponding to the previous layer needs to be used as a reference image, and compared with the image corresponding to each subsequent transfer, and when no repeated content exists, the image at this time is the target shot image of the scrap steel of the next layer.
It should be noted that, when carrying each time, images are shot, a plurality of images can be shot continuously, the images are screened in advance, clear and shot areas are correct, and images with no repeated shooting content are reserved, meanwhile, the images without repeated are integrated into a final image, and then the images are images corresponding to the carriage during carrying each time, so that effective images can be obtained during carrying each time.
And S402, when the carrying equipment finishes one-time unloading and is ready for unloading again, acquiring a current shooting image through the camera of the dome camera, and judging whether repeated contents exist in a preset area of the current shooting image and the reference image.
In this step, after the one-time unloading is completed, if the obtained scrap image and the reference image have duplicate contents, it is indicated that only the scrap of the layer is unloaded in the current unloading, so the image cannot be represented as a target shooting image of the scrap of the lower layer, the preset area can be set as an area in the carriage, and whether the duplicate contents exist is confirmed by comparing the scrap images in the carriage in the image.
S403, if not, taking the current shooting image as a target shooting image of a new layer.
And S404, if so, continuing to unload until no repeated content exists in the preset area of the current shooting image and the reference image, which are acquired when unloading is prepared again, and taking the current shooting image as a target shooting image of a new layer.
It is to be noted that, the ball camera needs to judge the steel scrap quantity in the carriage simultaneously in the unloading process, and when the steel scrap is unloaded in the carriage, when the vehicle is in empty state, the control conveying equipment stops carrying this moment, can report to remind the vehicle to weigh for the second time.
According to the intelligent scrap steel grade judging method, whether repeated contents exist or not is confirmed by comparing the scrap steel image after each carrying with the reference image of the upper scrap steel, so that whether the scrap steel image corresponding to the carrying is the target shooting image corresponding to the new scrap steel layer or not is judged.
Fig. 5 is a flowchart III of an intelligent scrap steel grade judging method provided by an embodiment of the present application, as shown in fig. 5, the method includes:
s501, acquiring an image of a vehicle which does not drive into the region to be detected through the dome camera, and identifying the license plate number of the vehicle through the image.
In this step, when the vehicle enters the coverage area of the dome camera and does not drive into the area to be inspected, the dome camera recognizes the license plate number of the vehicle to confirm whether the vehicle is a pre-registered vehicle to be inspected.
After entering the scrap steel factory through the entrance, the vehicle needs to be weighed for the first time, a camera in a weighing area acquires the license plate number of the vehicle while weighing, the weight and the license plate number are correlated and stored in a database, and the step is equivalent to pre-registering the vehicle, so that the fact that the vehicle can be used for unloading scrap steel in the next step can be confirmed.
S502, judging whether the vehicle is a vehicle to be detected or not according to the license plate number and the database.
The database stores the first weight of the vehicle to be detected and the corresponding license plate number.
In actual situations, vehicles entering the sorting area without pre-weighing according to the process flow can appear, in order to identify the situations, the license plate numbers of the vehicles in the coverage area of the ball camera need to be identified, if the license plate numbers belong to the information in the database, the vehicles are registered in advance, the vehicles can enter the area to be tested for unloading, and if the vehicles do not belong to the information, the vehicles can be reminded to execute according to the process flow.
And S503, if yes, determining that the vehicle is a vehicle to be detected, broadcasting first prompt information to the vehicle to be detected, and prompting the vehicle to be detected to drive to the region to be detected.
S504, if not, broadcasting a second prompt message to the vehicle to prompt the vehicle to weigh.
It should be noted that, when the vehicle is confirmed to be the vehicle to be detected, a specified area to be detected can be allocated for the vehicle, and the vehicle is reminded to go to the specified area, so that orderly unloading of the vehicle in the sorting area is facilitated, and when the vehicle is confirmed not to be the vehicle to be detected, the vehicle is reminded to be firstly weighed.
S505, after the unloading of the vehicle to be detected is finished, the camera of the ball camera acquires a target shooting image of each layer of scrap steel, and then the second weight and the license plate number of the vehicle to be detected are acquired.
And when the unloading is finished, weighing the vehicle to obtain the self-weight information of the vehicle and the license plate number, matching the self-weight information with the license plate number in a database, obtaining the first weight and the second weight corresponding to the license plate number, and performing the next operation.
S506, obtaining a difference value between the first weight and the second weight, wherein the difference value is the weight of the scrap steel in the vehicle to be detected.
And obtaining a difference value of the first weight and the second weight corresponding to the vehicle dead weight, wherein the difference value is the total weight of the scrap steel in the vehicle to be detected, and the basis can be provided for the subsequent analysis of the grade of the scrap steel according to the weight and the images of each layer of scrap steel.
S507, performing judgment analysis on the scrap steel of the vehicle to be detected according to the target shooting image of each layer and the weight of the scrap steel.
In the step, firstly, each layer of target shooting image needs to be analyzed so as to confirm the type and grade of the whole car steel scraps, and meanwhile, the weight of the steel scraps is combined to calculate the corresponding amount of the whole car steel scraps, wherein the analysis of each layer of target shooting image needs to be processed through image segmentation of a deep learning network, in order to identify the difference of different types in the steel scraps, the image can be subjected to instance segmentation on the basis of semantic segmentation, namely, different instances need to be positioned on a pixel layer, and the steel scraps in the image are classified based on the characteristics of gray scale, color, space texture, geometric shape and the like in the image.
Illustratively, performing deep learning processing on the target shooting images of each layer to obtain sub-analysis results corresponding to the images of each layer;
and obtaining a grade judging result of the scrap steel in the vehicle to be detected according to the sub-analysis result corresponding to each layer of image and the weight of the scrap steel.
According to the types of the scrap steel and the proportion of the types, the weight of the scrap steel is combined, and the amount of the scrap steel of the whole car can be calculated.
According to the intelligent scrap steel grade judging method, whether the vehicle is to be detected or not is confirmed by identifying the vehicle, so that the vehicle is prompted to carry out next sorting and unloading or pre-weighing, the fact that the vehicles in the sorting area can be sorted orderly is ensured, the scrap steel sorting efficiency is ensured, an intelligent image analysis means is adopted in scrap steel grade judging analysis, and the accuracy of analysis results is improved.
Fig. 6 is a schematic diagram of an intelligent scrap steel grade determining system according to an embodiment of the present application, where the system executes the intelligent scrap steel grade determining method according to any of the embodiments described above, and as shown in fig. 6, the system includes an identification module 601, a weighing module 602, a sorting module 603, a quality inspection monitoring module 604, and a background recording module 605.
When a vehicle needs to be subjected to scrap steel unloading and grade judging, the identification module 601 identifies the vehicle as a vehicle to be detected according to pre-registered information, and permits the vehicle to enter a factory;
when a vehicle to be detected enters a factory, and enters a weighing area, a weighing module 602 obtains a first weight of the vehicle, wherein the weight comprises the vehicle weight and the scrap steel weight, correlates a license plate number with the weight, sends the license plate number to a background recording module 605, and broadcasts the area to be detected to which the vehicle needs to go;
after the vehicle to be detected enters the corresponding region to be detected, the sorting module 603 performs layered unloading on the scrap steel in the carriage by using lifting equipment, and meanwhile, cameras of a dome camera arranged at the two ends of the lifting equipment acquire images of each layer of scrap steel and send the acquired images to the quality inspection monitoring module 604;
the monitoring large screen in the quality inspection monitoring module 604 displays the acquired image, identifies non-steel impurities contained in scrap steel according to image information, deducts automatically, and meanwhile, when dangerous objects are identified, carries out dangerous alarm until the vehicle to be inspected passes through the weighing module 602 to identify the license plate number after unloading is finished, acquires a second weight, forms a scrap steel grade report according to the first weight, the second weight and the layered image, and sends the report to the user terminal;
the user terminal confirms whether to review according to the report content, if yes, the quality inspection monitoring module 604 matches the quality inspection personnel to conduct manual review according to the feedback of the user terminal; if not, the background recording system 605 reports the accounting amount based on the weight information and the scrap level.
The intelligent scrap steel grade judging system provided by the embodiment acquires images through intelligence, performs deep learning analysis on acquired image information, achieves the functions of material grade judging, abnormal problem alarming and the like, thereby intelligently judging scrap steel, avoiding a series of problems caused by human factors such as omission, false inspection, safety accidents and the like in the manual quality inspection process, and improving the efficiency and accuracy of steel inspection.
Fig. 7 is an intelligent scrap steel grade determining device according to an embodiment of the present application, as shown in fig. 7, the processing device 70 includes: an adjustment module 701, an identification module 702 and a processing module 703.
The adjusting module 701 is configured to control the lifting device to move to a position above the vehicle to be detected along the guide rails on both sides after determining that the vehicle to be detected enters the region to be detected, where the region to be detected is located between the guide rails on both sides, two ends of the lifting device are provided with dome camera cameras, and a movable carrying device is arranged between two ends of the lifting device;
the identifying module 702 is configured to identify the vehicle to be inspected and the unloading area through the camera of the ball camera, so as to control the handling device to carry the scrap steel in the vehicle to be inspected to the unloading area in a layered manner, and obtain a target shooting image of an upper layer of the vehicle to be inspected through the camera of the ball camera after the handling device finishes one layer of unloading;
and the processing module 703 is used for performing analysis on the scrap steel of the vehicle to be detected according to the target shooting image of each layer.
The present application also provides an electronic device including: at least one processor and memory; wherein,
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method as set forth in any one of the preceding claims.
Fig. 8 is a schematic diagram of hardware of an electronic device according to an embodiment of the present application. As shown in fig. 8, the electronic device 80 provided in the present embodiment includes: at least one processor 801 and a memory 802. The device 80 further comprises a communication component 803. The processor 801, the memory 802, and the communication section 803 are connected via a bus 804.
In a specific implementation, at least one processor 801 executes computer-executable instructions stored in the memory 802, such that the at least one processor 801 performs the above method.
The specific implementation process of the processor 801 may refer to the above-mentioned method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In the embodiment shown in fig. 8, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The Memory may comprise high-speed Memory (Random Access Memory, RAM) or may further comprise Non-volatile Memory (NVM), such as at least one disk Memory.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus.
The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
The present application also provides a computer readable storage medium, in which computer executable instructions are stored, which when executed by a processor, implement the steps in the above-described method embodiments.
The above-described readable storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. A readable storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). The processor and the readable storage medium may reside as discrete components in a device.
The division of the units is merely a logic function division, and there may be another division manner when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains and as may be applied to the precise construction hereinbefore set forth and shown in the drawings and as follows in the scope of the appended claims. The scope of the application is limited only by the appended claims.
Claims (10)
1. An intelligent scrap steel grade judging method is characterized by comprising the following steps:
when the fact that a vehicle to be detected enters a region to be detected is determined, controlling lifting equipment to move to the position above the vehicle to be detected along guide rails on two sides, wherein the region to be detected is located between the guide rails on two sides, cameras of a dome camera are arranged at two ends of the lifting equipment, and movable carrying equipment is arranged between the two ends of the lifting equipment;
identifying the vehicle to be detected and the unloading area through the dome camera so as to control the carrying equipment to carry the scrap steel in the vehicle to be detected to the unloading area in a layered manner, and acquiring a target shooting image of the upper layer of the vehicle to be detected through the dome camera after the carrying equipment finishes one layer of unloading;
and according to the target shooting image of each layer, judging and analyzing the scrap steel of the vehicle to be detected.
2. The method according to claim 1, wherein the acquiring, by the ball camera, the target photographed image of the upper layer of the vehicle to be inspected after the handling device finishes one layer of unloading, includes:
after a layer of target shooting image is obtained through a dome camera, storing the target shooting image and taking the target shooting image as a reference image;
when the carrying equipment finishes one-time unloading and is again ready for unloading, acquiring a current shooting image through the camera of the dome camera, and judging whether repeated contents exist in a preset area of the current shooting image and the reference image;
if not, taking the current shooting image as a target shooting image of a new layer;
if yes, continuing unloading until no repeated content exists in the preset area of the current shooting image and the reference image, which are obtained when unloading is prepared again, and taking the current shooting image as a target shooting image of a new layer.
3. The method according to claim 1, characterized in that the focal length f of the dome camera satisfies the following condition:
wherein f is the focal length, L is the viewing distance, m is the horizontal distance from the camera of the dome camera to the region to be inspected, h 1 H is the height of the camera of the dome camera from the ground 2 For the height of the vehicle to be detected, h 3 Is the imaging height of the camera of the dome camera.
4. The method of claim 1, further comprising, prior to the vehicle entering the inspection area:
acquiring an image of a vehicle which does not enter the region to be detected through the dome camera, and identifying a license plate number of the vehicle through the image;
judging whether the vehicle is a vehicle to be detected or not according to the license plate number and the database; the database stores a first weight of a vehicle to be detected and a corresponding license plate number;
if yes, determining that the vehicle is a vehicle to be detected, broadcasting first prompt information to the vehicle to be detected, and prompting the vehicle to be detected to drive to the region to be detected;
if not, broadcasting a second prompt message to the vehicle to prompt the vehicle to weigh.
5. The method according to claim 4, wherein before the analyzing the scrap steel of the vehicle to be inspected based on the target captured image of each layer, further comprising:
acquiring a second weight and a license plate number of the vehicle to be detected;
obtaining a difference value between the first weight and the second weight, wherein the difference value is the weight of scrap steel in the vehicle to be detected;
the method for judging and analyzing the scrap steel of the vehicle to be detected according to the target shooting image of each layer comprises the following steps:
and according to the target shooting image of each layer and the scrap steel weight, performing judgment analysis on the scrap steel of the vehicle to be detected.
6. The method according to claim 5, wherein the performing the analysis of the scrap steel of the vehicle to be inspected based on the target photographed image of each layer and the scrap steel weight, comprises:
deep learning processing is carried out on the target shooting images of each layer, and sub-analysis results corresponding to the images of each layer are obtained;
and obtaining a grade judging result of the scrap steel in the vehicle to be detected according to the sub-analysis result corresponding to each layer of image and the weight of the scrap steel.
7. The method according to claim 1, wherein after the scrap steel of the vehicle to be inspected is analyzed based on the target captured image of each layer, further comprising:
transmitting the judgment result obtained by the judgment analysis to a user terminal;
and when receiving a review request fed back by the user terminal, forwarding the review request to a quality inspection terminal so as to enable quality inspection personnel corresponding to the quality inspection terminal to conduct manual review.
8. An intelligent scrap steel grade judging device, which is characterized by comprising:
the device comprises an adjusting module, a lifting device, a control module and a control module, wherein the adjusting module is used for controlling the lifting device to move to the upper part of the vehicle to be detected along guide rails on two sides after determining that the vehicle to be detected enters the region to be detected, the region to be detected is positioned between the guide rails on two sides, the two ends of the lifting device are provided with spherical camera cameras, and movable carrying devices are arranged between the two ends of the lifting device;
the identification module is used for identifying the vehicle to be detected and the unloading area through the dome camera so as to control the carrying equipment to carry the scrap steel in the vehicle to be detected to the unloading area in a layered manner, and acquiring a target shooting image of the upper layer of the vehicle to be detected through the dome camera after the carrying equipment finishes one layer of unloading;
and the processing module is used for judging and analyzing the scrap steel of the vehicle to be detected according to the target shooting image of each layer.
9. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-7.
10. An electronic device, comprising: at least one processor and memory; wherein,
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method of any one of claims 1-7.
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| CN202311000833.3A CN117011273A (en) | 2023-08-09 | 2023-08-09 | Intelligent scrap steel grade judging method, device, equipment and medium |
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| CN202311000833.3A CN117011273A (en) | 2023-08-09 | 2023-08-09 | Intelligent scrap steel grade judging method, device, equipment and medium |
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