Roller crack prediction system, method, computer device, readable storage medium and program product

Abstract

This application relates to a roll crack prediction system, method, computer device, readable storage medium, and program product, applied to the field of big data technology. The system comprises: a temperature detection device, a roll identification unit, and a controller; the temperature detection device is configured to detect the roll temperature information of a roll to be detected when it comes off the production line; the roll identification unit is configured to identify roll information of the roll to be detected, wherein the roll information is used to characterize the operating status of the roll to be detected; and the controller is configured to predict roll cracks on the roll to be detected based on the roll temperature information and the roll information, thereby obtaining a roll crack prediction result. This method can improve the safety of roll operation.

Description

Technical Field

[0001] The present application relates to the field of big data technology, and in particular to a roll crack prediction system, method, computer device, computer-readable storage medium, and computer program product. Background Art

[0002] Rollers are crucial processing tools in steel production processes such as continuous casting, hot rolling, cold rolling, tempering, and straightening. During production, microcracks may develop within the rolls. Failure to promptly identify these microcracks can lead to serious accidents such as roll explosion after the rolls are put back on line, compromising roll safety. Summary of the Invention

[0003] Based on this, it is necessary to provide a roll crack prediction system, method, computer equipment, computer-readable storage medium and computer program product that can improve the safety of roll use in response to the above technical problems.

[0004] In a first aspect, the present application provides a roll crack prediction system, comprising: a temperature detection device, a roll identification unit, and a controller;

[0005] The temperature detection device is configured to detect the temperature information of the roller when the roller to be detected is off the line;

[0006] The roller identification unit is configured to identify roller information of the roller to be detected, wherein the roller information is used to represent the use status of the roller to be detected;

[0007] The controller is configured to perform roll crack prediction on the roll to be inspected based on the roll temperature information and the roll information to obtain a roll crack prediction result.

[0008] In one embodiment, when the roller to be inspected is off the roller track, the temperature detection device is placed in the side area of ​​the roller track; when the roller to be inspected is off the transport vehicle, the temperature detection device is placed in the transport unloading area corresponding to the roller to be inspected.

[0009] In one embodiment, when the roller to be detected rolls off the roller track, the controller is further configured to perform roller crack prediction on the roller to be detected based on the roller information and target temperature information to obtain a roller crack prediction result. The target temperature information is selected from the roller temperature information based on the acquisition time corresponding to the roller temperature information and the rolling speed of the roller to be detected during the process of rolling off the roller track.

[0010] In one embodiment, the controller is further configured to perform roller crack prediction on the roller to be inspected based on the roller fusion feature to obtain a roller crack prediction result, wherein the roller fusion feature is obtained by fusing the roller temperature weighted feature and the roller usage weighted feature, the roller temperature weighted feature is obtained by weighting the first weight corresponding to the roller temperature feature and the roller temperature feature, the roller temperature feature is a feature extracted from the target temperature information, the roller usage weighted feature is obtained by weighting the second weight corresponding to the roller usage feature and the roller usage feature, and the roller usage feature is a feature extracted from the roller information.

[0011] In one embodiment, the controller is further configured to generate a first weight corresponding to the roller temperature characteristic and a second weight corresponding to the roller usage characteristic based on the target temperature information and roller information of the roller to be inspected, respectively, wherein the higher the first importance of the roller crack prediction for the roller to be inspected represented by the target temperature information, the greater the first weight generated, and the higher the second importance of the roller crack prediction for the roller to be inspected represented by the roller information, the greater the second weight generated.

[0012] In one embodiment, when the environmental visibility of the detection environment corresponding to the roller to be detected meets the preset visibility condition, the temperature detection device is a remote temperature detection device; when the environmental visibility of the detection environment corresponding to the roller to be detected does not meet the preset visibility condition, the temperature detection device is a contact temperature detection device.

[0013] In a second aspect, the present application also provides a roll crack prediction method, comprising:

[0014] Acquiring roller temperature information of a roller to be detected, and acquiring roller information of the roller to be detected, wherein the roller information is used to characterize the use status of the roller to be detected;

[0015] Roller crack prediction is performed on the roll to be inspected according to the roll temperature information and the roll information to obtain a roll crack prediction result.

[0016] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0017] Acquiring roller temperature information of a roller to be detected, and acquiring roller information of the roller to be detected, wherein the roller information is used to characterize the use status of the roller to be detected;

[0018] Roller crack prediction is performed on the roll to be inspected according to the roll temperature information and the roll information to obtain a roll crack prediction result.

[0019] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0020] Acquiring roller temperature information of a roller to be detected, and acquiring roller information of the roller to be detected, wherein the roller information is used to characterize the use status of the roller to be detected;

[0021] Roller crack prediction is performed on the roll to be inspected according to the roll temperature information and the roll information to obtain a roll crack prediction result.

[0022] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0023] Acquiring roller temperature information of a roller to be detected, and acquiring roller information of the roller to be detected, wherein the roller information is used to characterize the use status of the roller to be detected;

[0024] Roller crack prediction is performed on the roll to be inspected according to the roll temperature information and the roll information to obtain a roll crack prediction result.

[0025] The above-mentioned roller crack prediction system, method, computer equipment, computer-readable storage medium and computer program product, because when the roller temperature is high, there may be uneven cooling degrees in different areas of the roller, which may cause cracks to appear inside the roller. Therefore, the roller temperature information of the roller to be detected can be detected by the temperature detection device, and the roller information representing the usage status of the roller to be detected can be identified by the roller identification unit. Then, the controller can predict the roller crack of the roller to be detected based on the roller temperature information and the roller information to obtain a roller crack prediction result. The roller temperature and the roller information that can represent the usage status of the roller are used as the basis for crack prediction of the roller to be detected, thereby ensuring the accuracy of the roller crack prediction, so that when cracks are detected in the roller to be detected, processing can be performed, thereby ensuring the safety of the roller. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without any creative work.

[0027] Figure 1 Schematic diagram of the structure of a roll crack prediction system in one embodiment;

[0028] Figure 2 Schematic diagram of an application environment of a roll crack prediction method in one embodiment;

[0029] Figure 3 Schematic diagram of a process for predicting roll cracks in one embodiment;

[0030] Figure 4 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0032] It should be noted that the information (including but not limited to roll temperature information and roll information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the acquisition, transmission, storage, use and processing of the relevant data are in compliance with the relevant provisions of national laws and regulations. The content pushed to the user (for example, roll crack prediction results, etc.) can be rejected by the user or can be easily rejected by the user. In the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. They should be considered as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0033] In an exemplary embodiment, Figure 1 As shown, a roll crack prediction system is provided, which includes a temperature detection device 102, a roll identification unit 104 and a controller 106. The controller 106 is in communication with the temperature detection device 102, and the controller 106 is in communication with the roll identification unit 104.

[0034] The roll to be inspected is a roll waiting for roll crack prediction. The roll to be inspected may be a roll that has just come off the production line or a roll that has not yet been put on the production line. There is no limitation here.

[0035] The temperature detection device is configured to detect the temperature information of the roller when the roller to be detected is off the line.

[0036] As one embodiment, when the roller to be inspected is off the roller track, the temperature detection device is placed in the side area of ​​the roller track; when the roller to be inspected is off the transport vehicle, the temperature detection device is placed in the transport unloading area corresponding to the roller to be inspected, wherein the transport vehicle can be a crane trolley.

[0037] In this way, an adaptive placement scheme for the temperature detection device of the roll to be detected under different roll blanking methods can be provided to ensure that the roll temperature information of the roll to be detected detected by the temperature detection device can accurately reflect the actual temperature value of the roll to be detected.

[0038] As an embodiment, the number of the temperature detection devices may be one or more.

[0039] It is understandable that in order to ensure that the roller temperature information can accurately reflect the actual temperature value of the roller to be detected, it is usually necessary to perform temperature detection on multiple parts of the roller to be detected.

[0040] Since the roller to be inspected can be moved by the roller track when it is off the line, the temperature detection device can measure the temperature of multiple parts of the roller to be inspected when the roller to be inspected moves. Therefore, in this case, the temperature detection device can be set to one. When the roller to be inspected is off the line on the transport vehicle, the roller to be inspected will not move. Therefore, it is necessary to set multiple temperature detection devices to achieve temperature detection of multiple parts of the roller to be inspected.

[0041] When the roller to be inspected is off the roller track, the placement position of the temperature detection device can be fixed or movable. When the roller to be inspected is off the transport vehicle and the number of temperature detection devices is set to one, the placement position of the temperature detection device is movable, and the temperature of multiple parts of the roller to be inspected can be measured by moving. When the roller to be inspected is off the transport vehicle and the number of temperature detection devices is set to multiple, the placement position of the temperature detection device can be fixed or movable.

[0042] In the case where the placement position of the temperature detection device is fixed, since the placement position of the temperature detection device cannot be changed, the placement position of the temperature detection device matches the placement position of the roller to be detected.

[0043] When the environmental visibility of the detection environment corresponding to the roller to be detected meets the preset visibility condition, the temperature detection device is a remote temperature detection device; when the environmental visibility of the detection environment corresponding to the roller to be detected does not meet the preset visibility condition, the temperature detection device is a contact temperature detection device.

[0044] Among them, the environmental visibility can be determined by at least one of the environmental dust content and the environmental water mist content. Specifically, the higher the environmental dust content, the lower the environmental visibility, and the higher the environmental water mist content, the lower the environmental visibility. The preset visibility condition can be a preset environmental visibility range, for example, less than a preset visibility threshold. Furthermore, the preset visibility threshold is a visibility critical value set as needed to determine whether the environmental visibility of the detection environment is high.

[0045] In this way, when the environmental visibility of the detection environment corresponding to the roller to be detected meets the preset visibility condition, that is, when the environmental visibility of the detection environment is high, temperature detection is performed by using a more convenient remote temperature detection device; and when the environmental visibility of the detection environment corresponding to the roller to be detected does not meet the preset visibility condition, that is, when the environmental visibility of the detection environment is low, if the remote temperature detection device is still used for temperature detection, the dust and / or water mist in the detection environment will interfere with the temperature detection of the remote temperature detection device, and it is easy for the roller temperature information obtained by detection to deviate greatly from the actual temperature value of the roller to be detected. Therefore, when the environmental visibility of the detection environment is low, a contact temperature detection device is used for temperature detection to ensure the accuracy of roller temperature detection.

[0046] The roller identification unit is configured to identify roller information of the roller to be detected, wherein the roller information is used to represent the usage status of the roller to be detected.

[0047] Among them, the roll information includes at least one of the roll number, roll type, roll history processing information, roll current processing information and roll shape information. The roll number is used to identify the unique number of the roll. The roll history processing information includes at least one of the number of times the roll has been online in history, the roll's historical grinding amount, historical crack detection results and the length of time the roll has been online in history. The roll current processing information includes at least one of the time the roll was offline, the length of time the roll was last online, the number of kilometers rolled when the roll was last online, the number of rolling blocks when the roll was last online and the expected time the roll was online. The roll shape information includes at least one of the roll diameter and the roll shape.

[0048] As an embodiment, the roller recognition unit is configured to collect a roller image carrying the characteristics of the roller to be detected, and perform image recognition on the roller image to obtain the roller number, roller diameter and roller shape of the roller to be detected.

[0049] It is understandable that the image acquisition environment corresponding to the roller image may have poor lighting, or the roller number engraved on the roller to be inspected may not be obvious on the surface of the roller to be inspected, resulting in the roller number being unable to be clearly identified through the roller image.

[0050] As another embodiment, the roller number sent by the user is obtained.

[0051] In this way, it can be ensured that the roll number obtained is accurate.

[0052] As another embodiment, the roller tracking online time of the roller corresponding to each roller number is obtained, wherein the roller tracking online time is detected by sensors deployed on the roller track; the roller online time corresponding to the roller to be detected is obtained; and the number that matches the corresponding roller tracking online time and the roller online time is selected from each roller number to be determined as the roller number of the roller to be detected.

[0053] In this way, the roll number can be automatically determined while ensuring that the acquired roll number is accurate.

[0054] As one embodiment, the roller identification unit is configured to obtain a roller process log, wherein the roller process log includes a correspondence between the roller number of at least one preset roller and the roller historical processing information; according to the roller number of the roller to be detected, the roller historical processing information and the roller offline time corresponding to the roller to be detected are queried from the roller process log.

[0055] As an embodiment, the roll identification unit is configured to obtain a roll processing plan corresponding to the roll to be inspected, and identify an estimated roll online time of the roll to be inspected from the roll processing plan.

[0056] The controller is configured to perform roll crack prediction on the roll to be inspected based on the roll temperature information and the roll information to obtain a roll crack prediction result.

[0057] Among them, the roll crack prediction result can be a binary classification result, including a prediction result of the presence of cracks in the roll or a prediction result of the absence of cracks in the roll; the roll crack prediction result can also be a probability prediction result, used to characterize the probability of cracks appearing in the roll; the roll crack prediction result can also be a degree prediction result, used to characterize the crack propagation range corresponding to the roll, for example, it can be a range composed of the circumscribed shape of the predicted cracks in the roll, such as a circumscribed circle, a circumscribed polygon, etc.

[0058] As one embodiment, the controller is configured to input the roller temperature information and roller information into a pre-trained first roller crack prediction model (by mapping the roller temperature information and roller information through the first roller crack prediction model) to obtain a roller crack prediction result, wherein the first roller crack prediction model is trained by a first preset sample, and the first preset sample is composed of the roller temperature information and roller information of multiple first training rollers, and the real roller crack results corresponding to the multiple first training rollers.

[0059] As another embodiment, the controller is configured to obtain a first roller crack table, wherein the first roller crack table is composed of the correspondence between the roller temperature information and roller information of the roller and the roller crack result, and based on the roller temperature information and roller information of the roller to be tested, the first roller crack table is queried to obtain the roller crack prediction result.

[0060] In this embodiment, when the roller temperature is high, there may be uneven cooling degrees in different areas of the roller, which may cause cracks inside the roller. Therefore, the roller temperature information of the roller to be detected can be detected by the temperature detection device, and the roller information representing the usage status of the roller to be detected can be identified by the roller identification unit. Then, the controller can predict the roller cracks of the roller to be detected based on the roller temperature information and the roller information to obtain a roller crack prediction result. The roller temperature and the roller information that can represent the usage status of the roller are used as the basis for crack prediction of the roller to be detected, thereby ensuring the accuracy of the roller crack prediction, so that when cracks are detected in the roller to be detected, processing can be performed, thereby ensuring the safety of the roller.

[0061] As an embodiment, when the roller to be inspected is offline on the roller track, the controller is also configured to perform roller crack prediction on the roller to be inspected based on the roller information and the target temperature information to obtain a roller crack prediction result. The target temperature information is selected from the roller temperature information based on the collection time corresponding to the roller temperature information and the offline speed of the roller to be inspected during the process of being offline on the roller track.

[0062] Furthermore, the target temperature information is temperature information selected from the roller temperature information, the corresponding collection time of which matches the arrival time of the roller to be detected at the temperature detection area corresponding to the temperature detection device. The arrival time of the roller to be detected at the temperature detection area is determined by the offline speed of the roller to be detected in the roller track process and the temperature detection area corresponding to the temperature detection device.

[0063] In this way, it can be ensured that the deviation between the acquired target temperature information and the actual temperature value of the roll to be detected is smaller.

[0064] As an embodiment, the controller is further configured to perform roller crack prediction on the roller to be inspected based on the roller fusion feature to obtain a roller crack prediction result, wherein the roller fusion feature is obtained by fusing the roller temperature weighted feature and the roller usage weighted feature, the roller temperature weighted feature is obtained by weighting the first weight corresponding to the roller temperature feature and the roller temperature feature, the roller temperature feature is a feature extracted from the target temperature information, the roller usage weighted feature is obtained by weighting the second weight corresponding to the roller usage feature and the roller usage feature, and the roller usage feature is a feature extracted from the roller information.

[0065] Furthermore, as an embodiment, the controller is configured to input the roller fusion features into a pre-trained second roller crack prediction model (by mapping the roller fusion features through the second roller crack prediction model) to obtain a roller crack prediction result, wherein the second roller crack prediction model is trained by a second preset sample, and the second preset sample is composed of the roller fusion features of multiple second training rollers and the real roller crack results corresponding to multiple first training rollers.

[0066] As another embodiment, the controller is configured to obtain a second roller crack table, wherein the second roller crack table is composed of the correspondence between the roller fusion characteristics of the roller and the roller crack results, and based on the roller fusion characteristics of the roller to be tested, the first roller crack table is queried to obtain the roller crack prediction result.

[0067] As an embodiment, the controller is further configured to generate a first weight corresponding to the roller temperature characteristic and a second weight corresponding to the roller usage characteristic based on the target temperature information and roller information of the roller to be inspected, respectively, wherein the higher the first importance of the roller crack prediction for the roller to be inspected represented by the target temperature information, the greater the first weight generated, and the higher the second importance of the roller crack prediction for the roller to be inspected represented by the roller information, the greater the second weight generated.

[0068] The higher the temperature value represented by the target temperature information, the higher the first importance of the target temperature information for the roll crack prediction of the roll to be inspected.

[0069] In this way, the higher the temperature value represented by the target temperature information, the higher the roll temperature of the roll to be detected, and the higher the risk of cracks in the roll to be detected. In this case, the higher the first importance is set, the larger the first weight generated is, and the higher the proportion of the roll temperature characteristics corresponding to the target temperature information in the decision-making of roll crack prediction is, so the accuracy of roll crack prediction is improved.

[0070] Among them, when the roll information includes the roll history processing information, the longer the use time of the roll to be detected represented by the roll history processing information, the lower the remaining service life of the roll to be detected, and the higher the risk of cracks in the roll to be detected. In this case, the higher the second importance is set, the larger the second weight generated is, and the higher the proportion of the roll usage characteristics corresponding to the roll information participating in the decision-making of roll crack prediction is, so the accuracy of roll crack prediction is improved.

[0071] Furthermore, when the roller history processing information includes the number of times the roller has been online in history, the greater the number of times the roller has been online in history, the roller history processing information indicates that the roller to be detected has been used for a longer time; when the roller history processing information includes the amount of grinding and cutting in history, the greater the amount of grinding and cutting in history, the roller history processing information indicates that the roller to be detected has been used for a longer time; when the roller history processing information includes the length of time the roller has been online in history, the longer the length of time the roller has been online in history, the roller history processing information indicates that the roller to be detected has been used for a longer time.

[0072] In this way, a quantified method for the usage time of the roller to be detected is provided, which ensures an accurate evaluation of the usage time of the roller to be detected, thereby ensuring that the generated second weight is more accurate.

[0073] The roll crack prediction method provided in the embodiment of the present application can be applied to Figure 2 In the application environment shown, the terminal 202 communicates with the controller 106 via a network. The data storage system can store data that the server 106 needs to process. The data storage system can be integrated with the controller 106 or placed on a cloud or other network server. The controller 106 communicates with the temperature detection device 102 via the network, and the controller 106 communicates with the roller identification unit 104 via the network. The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart car devices, projectors, etc. Portable wearable devices can include smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices can include virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The controller 106 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0074] In an exemplary embodiment, Figure 3 As shown in the figure, a roll crack prediction method is provided, which is applied to Figure 2The controller 106 in FIG. 1 is taken as an example to illustrate the process, including the following steps 302 to 304. In which:

[0075] Step 302: Acquire roller temperature information of the roller to be detected, and acquire roller information of the roller to be detected, wherein the roller information is used to characterize the use status of the roller to be detected.

[0076] Exemplarily, step 302 includes: acquiring roller temperature information of the roller to be detected obtained by a temperature detection device, and acquiring roller information of the roller to be detected obtained by a roller identification unit.

[0077] Step 304 : performing roll crack prediction on the roll to be inspected based on the roll temperature information and the roll information to obtain a roll crack prediction result.

[0078] As an embodiment, step 304 includes: obtaining the collection time corresponding to the roller temperature information and the offline speed of the roller to be detected during the process of being offline on the roller track; selecting target temperature information from the roller temperature information based on the collection time corresponding to the roller temperature information and the offline speed of the roller to be detected during the process of being offline on the roller track; and performing roller crack prediction on the roller to be detected based on the target temperature information and the roller information to obtain a roller crack prediction result.

[0079] Furthermore, according to the collection time corresponding to the roller temperature information and the offline speed of the roller to be detected during the process of being offline on the roller track, the target temperature information is selected from the roller temperature information, including: obtaining the temperature detection area corresponding to the temperature detection device; determining the arrival time of the roller to be detected at the temperature detection area corresponding to the temperature detection device according to the temperature detection area corresponding to the temperature detection device and the offline speed of the roller to be detected during the process of being offline on the roller track; and selecting temperature information from the roller temperature information whose corresponding collection time matches the arrival time corresponding to the roller to be detected.

[0080] As an embodiment, a roll crack prediction is performed on the roll to be inspected based on the target temperature information and the roll information to obtain a roll crack prediction result, including: extracting a roll temperature feature from the target temperature information, and extracting a roll usage feature from the roll information; weighting the roll temperature feature according to a first weight corresponding to the roll temperature feature to obtain a roll temperature weighted feature, and weighting the roll usage feature according to a second weight corresponding to the roll usage feature to obtain a roll usage weighted feature; fusing the roll usage weighted feature and the roll temperature weighted feature to obtain a roll fusion feature; and predicting a roll crack on the roll to be inspected based on the roll fusion feature to obtain a roll crack prediction result.

[0081] Furthermore, the method also includes: determining a first importance of the target temperature information for the roll crack prediction of the roll to be inspected based on the target temperature information, and determining a second importance of the roll information for the roll crack prediction of the roll to be inspected based on the roll information; generating a first weight based on the first importance, and generating a second weight based on the second importance.

[0082] In the above-mentioned roller crack prediction method, the roller temperature information of the roller to be detected and the roller information of the roller to be detected are obtained, wherein the roller information is used to characterize the usage status of the roller to be detected; according to the roller temperature information and the roller information, the roller crack prediction is performed on the roller to be detected to obtain a roller crack prediction result, and the roller temperature and the roller information that can characterize the usage status of the roller are used as the basis for crack prediction of the roller to be detected, thereby ensuring the accuracy of the roller crack prediction, so that when cracks are detected in the roller to be detected, processing can be performed, thereby ensuring the safety of the roller.

[0083] As a detailed embodiment, roller temperature information of a roller to be inspected is obtained, and roller information of the roller to be inspected is obtained, wherein the roller information is used to characterize the usage status of the roller to be inspected; the acquisition time corresponding to the roller temperature information and the offline speed of the roller to be inspected during the process of being offline from the roller track are obtained; target temperature information is selected from the roller temperature information according to the acquisition time corresponding to the roller temperature information and the offline speed of the roller to be inspected during the process of being offline from the roller track; a first importance of the target temperature information for roller crack prediction of the roller to be inspected is determined according to the target temperature information, and a second importance of the roller information for roller crack prediction of the roller to be inspected is determined according to the roller information; a first weight is generated according to the first importance, and a second weight is generated according to the second importance.

[0084] Furthermore, the roller temperature characteristics are extracted from the target temperature information, and the roller usage characteristics are extracted from the roller information; the roller temperature characteristics are weighted according to the first weight corresponding to the roller temperature characteristics to obtain the roller temperature weighted characteristics, and the roller usage characteristics are weighted according to the second weight corresponding to the roller usage characteristics to obtain the roller usage weighted characteristics; the roller usage weighted characteristics and the roller temperature weighted characteristics are fused to obtain the roller fusion characteristics; based on the roller fusion characteristics, the roller crack is predicted for the roller to be inspected to obtain a roller crack prediction result.

[0085] In this way, by obtaining the roller temperature information of the roller to be detected, and obtaining the roller information of the roller to be detected, wherein the roller information is used to characterize the usage status of the roller to be detected; based on the roller temperature information and the roller information, the roller crack prediction is performed on the roller to be detected, and the roller crack prediction result is obtained. The roller temperature and the roller information that can characterize the usage status of the roller are used as the basis for crack prediction of the roller to be detected, thereby ensuring the accuracy of the roller crack prediction, so that when cracks are detected in the roller to be detected, processing can be carried out, thereby ensuring the safety of the roller.

[0086] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0087] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication, and the wireless communication can be achieved via Wi-Fi, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, a method for predicting roll cracks is implemented. The display unit of the computer device is used to form a visually visible image, and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0088] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0089] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0090] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0091] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0092] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0093] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0094] The above embodiments merely illustrate several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A roll crack prediction system, characterized in that: The system includes a temperature detection device, a roller identification unit and a controller; The temperature detection device is configured to detect the temperature information of the roller when the roller to be detected is off the line, wherein when the roller to be detected is off the line on the roller track, the temperature detection device is placed in the side area of ​​the roller track; when the roller to be detected is off the line on the transport vehicle, the temperature detection device is placed in the transport unloading area corresponding to the roller to be detected; The roller identification unit is configured to identify roller information of the roller to be detected, wherein the roller information is used to represent the use status of the roller to be detected; The controller is configured to perform roll crack prediction on the roll to be inspected based on the roll temperature information and the roll information to obtain a roll crack prediction result; When the roller to be detected rolls off the roller track, the controller is further configured to perform roller crack prediction on the roller to be detected based on the roller information and target temperature information to obtain a roller crack prediction result. The target temperature information is selected from the roller temperature information based on the collection time corresponding to the roller temperature information and the rolling speed of the roller to be detected during the process of rolling off the roller track.

2. The system according to claim 1, wherein: The controller is also configured to perform roller crack prediction on the roller to be detected based on the roller fusion feature to obtain a roller crack prediction result, wherein the roller fusion feature is obtained by fusing the roller temperature weighted feature and the roller usage weighted feature, the roller temperature weighted feature is obtained by weighting the first weight corresponding to the roller temperature feature and the roller temperature feature, the roller temperature feature is a feature extracted from the target temperature information, the roller usage weighted feature is obtained by weighting the second weight corresponding to the roller usage feature and the roller usage feature, and the roller usage feature is a feature extracted from the roller information.

3. The system according to claim 2, characterized in that The controller is also configured to generate a first weight corresponding to the roller temperature characteristic and a second weight corresponding to the roller usage characteristic based on the target temperature information and roller information of the roller to be detected, respectively, wherein the higher the first importance of the roller crack prediction for the roller to be detected represented by the target temperature information, the greater the first weight generated, and the higher the second importance of the roller crack prediction for the roller to be detected represented by the roller information, the greater the second weight generated.

4. The system according to any one of claims 1 to 3, characterized in that When the environmental visibility of the detection environment corresponding to the roller to be detected meets the preset visibility condition, the temperature detection device is a remote temperature detection device; when the environmental visibility of the detection environment corresponding to the roller to be detected does not meet the preset visibility condition, the temperature detection device is a contact temperature detection device.

5. A roll crack prediction method, characterized in that: Using the controller according to any one of claims 1 to 4, the method comprises: Acquiring roller temperature information of a roller to be detected, and acquiring roller information of the roller to be detected, wherein the roller information is used to characterize the use status of the roller to be detected; performing roll crack prediction on the roll to be inspected according to the roll temperature information and the roll information to obtain a roll crack prediction result; The step of performing roll crack prediction on the roll to be inspected based on the roll temperature information and the roll information to obtain a roll crack prediction result includes: When the roller to be detected rolls off the roller track, target temperature information is selected from the roller temperature information according to the collection time corresponding to the roller temperature information and the roll speed of the roller to be detected during the process of rolling off the roller track. Roll crack prediction is performed on the roller to be detected based on the roller information and the target temperature information to obtain a roller crack prediction result.

6. The method according to claim 5, characterized in that The step of performing roll crack prediction on the roll to be inspected based on the roll information and the target temperature information to obtain a roll crack prediction result includes: Extracting roller temperature characteristics from the target temperature information, and extracting roller usage characteristics from the roller information; weighting the roll temperature feature according to a first weight corresponding to the roll temperature feature to obtain a roll temperature weighted feature, and weighting the roll usage feature according to a second weight corresponding to the roll usage feature to obtain a roll usage weighted feature; Fusing the roll temperature weighted feature and the roll usage weighted feature to obtain a roll fusion feature; According to the roll fusion characteristics, roll crack prediction is performed on the roll to be inspected to obtain a roll crack prediction result.

7. The method according to claim 6, characterized in that The method further comprises: A first weight corresponding to the roller temperature characteristic and a second weight corresponding to the roller usage characteristic are generated based on the target temperature information and roller information of the roller to be detected, respectively. The higher the first importance of the roller crack prediction for the roller to be detected represented by the target temperature information, the greater the first weight generated; the higher the second importance of the roller crack prediction for the roller to be detected represented by the roller information, the greater the second weight generated.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 5 to 7 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 5 to 7 are implemented.

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