A method and system for identifying information of a steel ladle in a steel mill
Patent Information
- Application Number
- CN202410004905.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-02
- Publication Date
- 2026-10-27
- Estimated Expiration
- 2044-01-02
AI Technical Summary
[0003]1.包号识别系统不能正常平稳运行
[0028]与现有技术相比,本发明的有益效果是:本发明提供了一种钢铁厂的钢铁包信息识别方法及系统,本发明在物流跟踪系统起包、落包、兑料等各个动作发生的位置装配相机进行拍摄,当天车在相应位置进行起、落包和兑料等动作时,相机能够持续拍摄到铁钢包完整的包号并发送给服务器进行识别。本发明可以极大地减轻钢铁厂的包号识别服务器的负载,并且对服务器性能要求放宽,提升了包号识别系统的工作效率。本发明可以精准控制包号识别时机和范围,通过与物流跟踪动作相结合,保证拍照识别期间相应拍摄位置有完整的待识别包号。本发明在相机触发后进行多次连续拍摄识别,保证了识别结果的准确性。
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Figure CN118015625B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of steel ladle information recognition technology, specifically relating to a method and system for steel ladle information recognition in steel plants. Background Technology
[0002] Currently, there are several problems with the identification of ladle numbers within steel plants:
[0003] 1. The package number recognition system is not operating normally and stably. Package number recognition cameras are located throughout the steel plant, in various processes, tracks, and pits. If each camera is constantly recognizing packages, it will put a significant load on the server.
[0004] 2. The accuracy of steel ladle identification timing is relatively low. Because the camera for ladle number recognition has a limited shooting range, accurate identification can only be performed when the ladle's number plate is completely visible within that area; otherwise, the accuracy is reduced due to the limited shooting range. In actual production processes, the accuracy of steel ladle identification timing is indeed low.
[0005] 3. The accuracy of package number identification results is not guaranteed. The low accuracy of identification leads to a lack of assurance regarding the accuracy of the results, which further affects the accuracy of information sent by the logistics tracking system to other secondary systems. This also negatively impacts the evaluation of information such as the grade, age, and condition of the steel packages. Summary of the Invention
[0006] The purpose of this invention is to overcome the shortcomings of existing technologies. This invention provides a method and system for identifying steel ladle information in a steel plant. This invention avoids the server load caused by all cameras in the steel plant continuously taking pictures and identifying lumens, and helps cameras take pictures and identify lumens at the accurate time and location, while simultaneously sending the accurate ladle number to the logistics tracking system. This invention plays a dominant role in determining the timing of camera picture identification and can, to some extent, overcome the performance limitations of the ladle number identification server, thereby improving the accuracy of ladle number identification.
[0007] To achieve the desired effect, the present invention adopts the following technical solution:
[0008] This invention discloses a method for identifying steel ladle information in a steel plant, comprising:
[0009] When the material tracking system of the steel plant detects that the overhead crane is performing a preset action at the working point, it obtains the crane's position information;
[0010] Retrieve camera information data for steel ladle identification points corresponding to the crane's location from the database;
[0011] The camera is triggered to take pictures by using the information of the steel bag information identification point data to achieve steel bag information identification.
[0012] Furthermore, the preset actions include at least one of picking up the package, dropping the package, and dispensing materials.
[0013] Furthermore, the specific steps for obtaining the camera steel ladle information identification point data corresponding to the crane position include: delineating the camera installation position according to the location of the working point, determining the camera shooting range according to the camera installation position, and determining the camera steel ladle information identification point data according to the camera shooting range.
[0014] Furthermore, the camera steel bag information identification point data includes: whether the camera has started identifying the working point, the number of times the camera has triggered identification, the number of times the camera has received identification, the camera identification bag number, and the camera identification bag type.
[0015] Furthermore, the method also includes: pre-configuring the camera steel package information identification point data in the PLC and database.
[0016] Furthermore, the specific steps for triggering the camera to take pictures using the information identification point data of the steel ladle to achieve steel ladle information identification include:
[0017] Increment the camera's recognition count by 1 and write it into the PLC;
[0018] When the camera processing service reads from the PLC that the number of times the camera triggers recognition has changed, it triggers the camera to continuously capture a preset number of images and send them to the image recognition server for recognition.
[0019] Furthermore, the method also includes:
[0020] The identified preset quantity results are categorized and analyzed to obtain the most accurate steel ladle information, which is then written into the PLC.
[0021] At the same time, the number of times the camera receives recognition data is assigned to the number of times the camera triggers recognition and written into the PLC;
[0022] When the logistics tracking system scans the data in the PLC and reads that the number of times the camera receives and recognizes data equals the number of times the camera triggers recognition, it obtains the most accurate information about the steel bag recognized by that camera.
[0023] Furthermore, the method also includes: obtaining the camera's shooting range by querying the database, and comparing the steel ladle information corresponding to the camera's shooting range in the database with the latest steel ladle information identified by the camera. If there is a discrepancy in the steel ladle information, the database is updated using the latest steel ladle information identified by the camera.
[0024] Furthermore, the steel ladle information includes at least one of the following: ladle number and ladle type.
[0025] This invention also discloses a steel ladle information identification system for steel plants, comprising:
[0026] The data acquisition module is used to collect various data required for identifying information about steel ladles.
[0027] The identification module is used to identify steel ladle information according to any of the methods described above.
[0028] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a method and system for identifying steel ladle information in steel plants. Cameras are installed at various locations in the logistics tracking system where actions such as ladle lifting, ladle unloading, and material loading occur to capture images. When the crane performs these actions at the corresponding locations, the cameras continuously capture complete ladle numbers and send them to the server for identification. This invention significantly reduces the load on the ladle number identification server in steel plants and relaxes the performance requirements of the server, thus improving the efficiency of the ladle number identification system. This invention can precisely control the timing and range of ladle number identification, ensuring that the corresponding shooting location has a complete ladle number to be identified during the image capture and identification process by combining it with logistics tracking actions. This invention performs multiple continuous image captures after the camera is triggered, ensuring the accuracy of the identification results. Attached Figure Description
[0029] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0030] Figure 1 This is a flowchart of a method for identifying steel ladle information in a steel plant, provided by an embodiment of the present invention. Detailed Implementation
[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0032] See Figure 1 This invention discloses a method for identifying steel ladle information in a steel plant, comprising:
[0033] When the material tracking system of the steel plant detects that the overhead crane is performing a preset action at the working point, it obtains the crane's position information;
[0034] Retrieve camera information data for steel ladle identification points corresponding to the crane's location from the database;
[0035] The camera is triggered to take pictures by using the information of the steel bag information identification point data to achieve steel bag information identification.
[0036] Generally, a complete package number identification process in a logistics tracking system consists of three stages: camera triggering, continuous camera shooting, and return of identification results. This invention equips cameras at the locations where various actions occur in the logistics tracking system, such as bag lifting, bag unloading, and material exchange. When the crane performs these actions at the corresponding locations, the cameras continuously capture the complete package number of the steel ladle and send it to the server for identification. This invention significantly reduces the load on the steel plant's package number identification server, relaxes the performance requirements of the server, and improves the efficiency of the package number identification system. This invention can precisely control the timing and range of package number identification, ensuring that the corresponding shooting location has a complete package number to be identified during the photo-taking and identification process by combining it with logistics tracking actions. This invention performs multiple continuous shooting and identification after camera triggering, ensuring the accuracy of the identification results.
[0037] Preferably, the preset action includes at least one of lifting the package, dropping the package, and dispensing the material.
[0038] In a preferred embodiment, the specific steps for obtaining the camera steel ladle information identification point data corresponding to the crane position include: delineating the camera installation position according to the location of the working point, determining the camera shooting range according to the camera installation position, and determining the camera steel ladle information identification point data according to the camera shooting range.
[0039] Specifically, the installation locations of cameras within the steel plant are determined based on the locations of the overhead crane's loading, unloading, and material exchange areas.
[0040] Furthermore, the camera steel bag information identification point data includes: whether camera X has started identifying working points CamX_On, the number of times camera X has triggered identification CamX_Sen_Times, the number of times camera X has received identification CamX_RCV_Times, the identification bag number CamX_LadleNo, and the identification bag type CamX_LadleType.
[0041] Preferably, the method further includes: pre-configuring the camera steel package information identification point data in the PLC and database.
[0042] Furthermore, the specific steps for triggering the camera to take pictures using the information identification point data of the steel ladle to achieve steel ladle information identification include:
[0043] Increment the camera's recognition count by 1 and write it into the PLC;
[0044] When the camera processing service reads from the PLC that the number of times the camera triggers recognition has changed, it triggers the camera to continuously capture a preset number of images and send them to the image recognition server for recognition.
[0045] For example, when the logistics tracking system tracks the overhead crane to perform actions such as picking up, dropping, and dispensing materials in a certain area, it finds the camera in that area from the database, increments the camera's recognition count CamX_Sen_Times by 1, and writes it into the PLC. The camera processing service reads the change in CamX_Sen_Times data from the PLC and triggers the camera to start taking 8 consecutive pictures, which are then sent to the image recognition server for recognition.
[0046] A PLC (Programmable Logic Controller) is a digital electronic system specifically designed for industrial applications. It uses a programmable memory to store instructions for performing logical operations, sequential control, timing, counting, and arithmetic operations, controlling various types of machinery or production processes through digital or analog inputs and outputs.
[0047] Furthermore, the method also includes:
[0048] The identified preset quantity results are categorized and analyzed to obtain the most accurate steel ladle information, which is then written into the PLC.
[0049] At the same time, the number of times the camera receives recognition data is assigned to the number of times the camera triggers recognition and written into the PLC;
[0050] When the logistics tracking system scans the data in the PLC and reads that the number of times the camera receives and recognizes data equals the number of times the camera triggers recognition, it obtains the most accurate information about the steel bag recognized by that camera.
[0051] For example, the 8 identified results are categorized and the most accurate package number and package type data are analyzed; the most accurate package number and package type data are written into the CamX_LadleNo and CamX_LadleType points in the PLC respectively, and the number of received identifications CamX_RCV_Times is assigned the value CamX_Sen_Times and written into the PLC.
[0052] When the logistics tracking system scans the data in the PLC, if it reads that CamX_RCV_Times equals CamX_Sen_Times, it obtains the most accurate package number and package type data identified by the camera.
[0053] Furthermore, the method also includes: obtaining the camera's shooting range by querying the database, and comparing the steel ladle information corresponding to the camera's shooting range in the database with the latest steel ladle information identified by the camera. If there is a discrepancy in the steel ladle information, the database is updated using the latest steel ladle information identified by the camera.
[0054] Furthermore, the steel ladle information includes at least one of ladle number and ladle type. It is foreseeable that the present invention can also use the same working principle to identify other steel ladle information.
[0055] This invention avoids the server load caused by all cameras in a steel plant constantly taking pictures and identifying packages. It also helps cameras take pictures and identify packages at the precise time and location, while simultaneously sending accurate package numbers to the logistics tracking system. This invention prioritizes the timing of camera image capture and identification, and to some extent overcomes the performance limitations of package number identification servers, thereby improving the accuracy of package number identification.
[0056] This invention also discloses a steel ladle information identification system for steel plants, comprising:
[0057] The data acquisition module is used to collect various data required for identifying information about steel ladles.
[0058] The identification module is used to identify steel ladle information according to any of the methods described above.
[0059] The system embodiments described above can be implemented one-to-one with the aforementioned method embodiments, and will not be repeated here.
[0060] Based on the same inventive concept, this invention also discloses an electronic device, which may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus. The processor can invoke logical instructions from the memory to execute a method for identifying steel ladle information in a steel plant, including:
[0061] When the material tracking system of the steel plant detects that the overhead crane is performing a preset action at the working point, it obtains the crane's position information;
[0062] Retrieve camera information data for steel ladle identification points corresponding to the crane's location from the database;
[0063] The camera is triggered to take pictures by using the information of the steel bag information identification point data to achieve steel bag information identification.
[0064] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0065] On the other hand, embodiments of the present invention also provide a computer program product, the computer program product including a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, and when the program instructions are executed by a computer, the computer can execute a steel ladle information identification method for steel plants provided in the above-described method embodiments, including:
[0066] When the material tracking system of the steel plant detects that the overhead crane is performing a preset action at the working point, it obtains the crane's position information;
[0067] Retrieve camera information data for steel ladle identification points corresponding to the crane's location from the database;
[0068] The camera is triggered to take pictures by using the information of the steel bag information identification point data to achieve steel bag information identification.
[0069] In another aspect, embodiments of the present invention also provide a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a method for identifying steel ladle information in a steel plant as provided in the above embodiments, comprising:
[0070] When the material tracking system of the steel plant detects that the overhead crane is performing a preset action at the working point, it obtains the crane's position information;
[0071] Retrieve camera information data for steel ladle identification points corresponding to the crane's location from the database;
[0072] The camera is triggered to take pictures by using the information of the steel bag information identification point data to achieve steel bag information identification.
[0073] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.
[0074] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for identifying information about steel ladles in a steel plant, characterized in that, include: When the material tracking system of the steel plant detects that the overhead crane is performing a preset action at the working point, it obtains the crane's position information. The preset actions include at least one of the following: lifting the package, dropping the package, and adding materials; Retrieve camera information data for steel ladle identification points corresponding to the crane's location from the database; The camera steel bag information identification point data includes: whether the camera has started identifying the working point, the number of times the camera has triggered identification, the number of times the camera has received identification, the camera identification packet number, and the camera identification packet type; The specific steps for obtaining the camera steel ladle information identification point data corresponding to the crane position include: delineating the camera installation position according to the location of the working point, determining the camera shooting range according to the camera installation position, and determining the camera steel ladle information identification point data according to the camera shooting range; The camera's steel bag information identification point data is pre-configured in the PLC and database; The camera is triggered to capture images based on the information identification point data of the steel ladle, thereby achieving steel ladle information identification. The specific steps include: Increment the camera's recognition count by 1 and write it into the PLC; When the camera processing service reads from the PLC that the number of times the camera triggers recognition has changed, it triggers the camera to continuously take a preset number of pictures and send them to the image recognition server for recognition. The identified preset quantity results are categorized and analyzed to obtain the most accurate steel ladle information, which is then written into the PLC. At the same time, the number of times the camera receives recognition data is assigned to the number of times the camera triggers recognition and written into the PLC; When the logistics tracking system scans the data in the PLC, if it reads that the number of times the camera receives recognition data is equal to the number of times the camera triggers recognition, it obtains the most accurate information about the steel bag recognized by that camera. The method further includes: obtaining the camera's shooting range by querying the database, and comparing the steel ladle information corresponding to the camera's shooting range in the database with the latest steel ladle information identified by the camera. If there is a discrepancy in the steel ladle information, the database is updated using the latest steel ladle information identified by the camera.
2. The steel ladle information identification method for steel plants as described in claim 1, characterized in that, The information about the steel ladle includes at least one of the following: ladle number and ladle type.
3. A steel ladle information identification system for a steel plant, characterized in that, include: The data acquisition module is used to collect various data required for identifying information about steel ladles. An identification module is used to identify steel ladle information according to any one of claims 1-2.
Citation Information
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