Wire mesh anomaly detection method of wire mesh cutting machine, medium, equipment and product

Abstract

The invention relates to the technical field of wire net cutting, and particularly provides a wire net anomaly detection method of a wire net cutting machine, a medium, equipment and a product, and the method can comprise the steps: grouping cutting wire nets on a roller shaft in the wire net cutting machine, and obtaining multiple groups of to-be-detected wire nets; acquiring an electric signal detection diagram of each group of to-be-detected wire nets in the plurality of groups of to-be-detected wire nets; based on the electric signal detection graph, whether the cutting wire net is abnormal or not is determined; wherein the types of the abnormities comprise wire bow abnormities, wire breaking abnormities or wire doubling abnormities. According to some embodiments of the invention, whether the cutting wire net is abnormal or not can be accurately detected, and the detection efficiency is high.

Description

Technical Field

[0001] The present application relates to the field of wire mesh cutting technology, and in particular to a method, medium, equipment and product for detecting wire mesh anomalies of a wire mesh cutting machine. Background Art

[0002] The wire mesh cutter is a machine commonly used for cutting silicon rods, and diamond wire (that is, cutting wire mesh) is often used as a cutting tool. In order to ensure the normal operation of the wire mesh cutter, the cutting wire mesh needs to be monitored during the operation of the wire mesh cutter. At present, monitoring units are set on both sides of the cutting wire mesh of the wire mesh cutter, and the reference points on the cutting wire mesh are collected by the monitoring unit. Then, the cutting wire bow value is calculated, and the cutting wire bow value is used to determine whether there is an abnormality in the cutting wire mesh. However, the monitoring unit has a limited range of data that can be collected, and the cutting wire bow value calculated by it is not necessarily accurate; and the types of abnormalities that can be detected are also limited.

[0003] Therefore, how to provide an accurate and comprehensive technical solution for a method for detecting wire mesh anomalies of a wire mesh cutting machine has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The purpose of some embodiments of the present application is to provide a method, medium, equipment and product for wire net anomaly detection of a wire net cutting machine. Through the technical solutions of the embodiments of the present application, accurate and comprehensive detection of whether there are anomalies in the cut wire net can be achieved, and the anomaly detection efficiency is high and the coverage is wide.

[0005] In a first aspect, some embodiments of the present application provide a method for detecting wire mesh abnormalities of a wire mesh cutting machine, comprising: grouping the cut wire mesh on the roller in the wire mesh cutting machine to obtain multiple groups of wire meshes to be detected; obtaining an electrical signal detection graph of each group of wire meshes to be detected in the multiple groups of wire meshes to be detected; based on the electrical signal detection graph, determining whether there is an abnormality in the cut wire mesh; wherein the types of abnormalities include: wire bow abnormality, wire break abnormality or wire parallel abnormality.

[0006] Some embodiments of the present application generate an electrical signal detection graph by detecting the electrical signals of each group of wire nets to be detected after the cutting wire nets are grouped, and the electrical signal detection graph can be used to determine whether the cutting wire net has an abnormality. Some embodiments of the present application can achieve accurate and comprehensive detection of whether the cutting wire net has an abnormality, improve the efficiency of abnormality detection, and have high practicality.

[0007] In some embodiments, the cutting wire mesh is a long wire, which is sequentially wound around three conductive rollers in the wire mesh cutting machine; the long wire is divided into N coils by the three rollers, and one coil includes three segments of wire mesh, where N is a positive integer.

[0008] In some embodiments of the present application, by electrifying the roller, it is possible to accurately detect whether there is an abnormality in the cutting wire web through electrical signals.

[0009] In some embodiments, the cut wire mesh on the roller in the wire mesh cutting machine is grouped to obtain multiple groups of wire meshes to be tested, including: dividing the cut wire mesh with a preset coil number n as a period to obtain multiple groups of wire meshes to be tested, wherein each group of wire meshes to be tested includes 3n segments of wire mesh within the preset coil number n; wherein n is less than N, and n is a positive integer.

[0010] Some embodiments of the present application group the cutting wire nets according to a preset number of coils to obtain each group of wire nets to be detected, thereby achieving effective grouping of the cutting wire nets and providing support for subsequent abnormality detection.

[0011] In some embodiments, the method of grouping the cut wire webs on the roller in the wire web cutting machine to obtain multiple groups of wire webs to be detected includes: dividing the cut wire webs into multiple areas; and using the wire web segments in each of the multiple areas as each group of wire webs to be detected in the multiple groups of wire webs to be detected.

[0012] Some embodiments of the present application determine each group of wire nets to be detected by dividing the cutting wire net into multiple areas, thereby achieving effective grouping of the cutting wire nets and providing support for subsequent abnormality detection.

[0013] In some embodiments, obtaining the electrical signal detection graph of each group of wire nets to be detected in the multiple groups of wire nets to be detected includes: obtaining electrical signal data of each group of wire nets to be detected obtained by using an electrical signal detection device, wherein the electrical signal data includes: wire net current and wire net resistance; generating the electrical signal detection graph corresponding to the electrical signal data, wherein the electrical signal detection graph includes: wire net current waveform graph and wire net resistance waveform graph.

[0014] In some embodiments of the present application, electrical signal data of each group of wire networks to be detected are obtained through detection by electrical signal detection equipment, and an electrical signal detection graph is generated based on the data to provide data support for subsequent abnormality detection.

[0015] In some embodiments, determining whether there is an abnormality in the cutting wire mesh based on the electrical signal detection graph includes: when there is no interruption point in the wire mesh current waveform of any group of wire meshes to be detected and the wire mesh resistance waveform shows an increasing trend, determining that there is the wire bow abnormality in the cutting wire mesh; when there is an interruption point in the wire mesh current waveform of any group of wire meshes to be detected and the resistance value in the wire mesh resistance waveform exceeds a set maximum value, determining that there is the wire break abnormality in the cutting wire mesh; when there is an interruption point in the wire mesh current waveform of any group of wire meshes to be detected, the resistance value in the wire mesh resistance waveform is lower than a set minimum value, and there is no interruption in the wire mesh current waveform of the adjacent group of wire meshes to be detected of any group of wire meshes to be detected, determining that there is the wire paralleling abnormality in the cutting wire mesh.

[0016] Some embodiments of the present application determine the type of anomaly present in the cut wire mesh by analyzing the waveform changes in the wire mesh current waveform diagram and the wire mesh resistance waveform diagram. This embodiment can accurately detect multiple types of anomalies, and the detection is relatively comprehensive.

[0017] In some embodiments, the method further includes: generating abnormality alarm information when the cutting wire mesh has the abnormality, wherein the abnormality alarm information includes the abnormality type and the abnormality area; and adjusting the cutting process of the wire mesh cutting machine based on the type of the abnormality.

[0018] Some embodiments of the present application can ensure the normal operation and efficiency of the wire mesh cutting machine by issuing alarms and optimizing the cutting process through existing abnormalities.

[0019] In a second aspect, some embodiments of the present application provide a device for detecting wire mesh abnormalities of a wire mesh cutting machine, comprising: a grouping module, used to group the cut wire mesh on the roller in the wire mesh cutting machine to obtain multiple groups of wire meshes to be detected; a signal detection module, used to obtain an electrical signal detection graph of each group of wire meshes to be detected in the multiple groups of wire meshes to be detected; an abnormality detection module, used to determine whether there is an abnormality in the cut wire mesh based on the electrical signal detection graph; wherein the types of abnormalities include: wire bow abnormality, wire break abnormality or wire parallel abnormality.

[0020] In a third aspect, some embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the method described in any embodiment of the first aspect.

[0021] In a fourth aspect, some embodiments of the present application provide an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor can implement a method as described in any embodiment of the first aspect when executing the program.

[0022] In a fifth aspect, some embodiments of the present application provide a computer program product, wherein the computer program product comprises a computer program, wherein the computer program, when executed by a processor, can implement the method described in any embodiment of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of some embodiments of the present application, the drawings required for use in some embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 A schematic diagram of the structure of a wire mesh cutting machine provided for some embodiments of the present application;

[0025] Figure 2 A system diagram of wire web anomaly detection for a wire web cutting machine provided for some embodiments of the present application;

[0026] Figure 3 One of the flow charts of the method for detecting abnormality of a wire mesh of a wire mesh cutting machine provided in some embodiments of the present application;

[0027] Figure 4 A second flow chart of a method for detecting abnormality of a wire mesh of a wire mesh cutting machine provided in some embodiments of the present application;

[0028] Figure 5 A block diagram of a device for detecting abnormality of a wire mesh of a wire mesh cutting machine provided in some embodiments of the present application;

[0029] Figure 6 A schematic diagram of an electronic device is provided for some embodiments of the present application. DETAILED DESCRIPTION

[0030] The technical solutions in some embodiments of the present application will be described below in conjunction with the drawings in some embodiments of the present application.

[0031] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0032] In order to facilitate the understanding of the application scenario of this application, Figure 1 The structure of the wire mesh cutting machine involved in this application is exemplified. Figure 1As shown, the wire mesh cutting machine includes: a workpiece 10, a cutting wire mesh 20, a monitoring unit 30 arranged on both sides of the workpiece 10, and a first roller 11, a second roller 12 and a third roller 13. Among them, the cutting wire mesh 20 is a continuous wire, which is wound on three rollers. During the cutting process, the cutting wire mesh 20 changes its rotation direction along the three rollers according to a set cycle, so as to achieve cutting of the workpiece 10. That is, when slicing the workpiece 10, the cutting wire mesh 20 cuts the workpiece 10 in a reciprocating motion, and its operation is mainly in two rotation directions, namely, the forward rotation when the cutting wire mesh 20 feeds the wire and the reverse rotation when the wire is retracted, among which the first rotation direction is the forward rotation when the cutting wire mesh 20 feeds the wire, and the second rotation direction is the reverse rotation when the cutting wire mesh 20 retracts the wire.

[0033] Usually, when checking whether there is an abnormality in the cutting wire net in the wire net cutting machine, the monitoring unit 30 is used to obtain the reference point on the cutting wire net 20, and then the wire bow value is calculated in combination with the angle between the monitoring unit 30 and the cutting wire net 20, and the wire bow value is compared with the set abnormal threshold to determine whether there are abnormal conditions such as excessive wire bow value and parallel wires. However, the monitoring range of the monitoring unit 30 is limited, and the calculated value is not necessarily the lowest point of the cutting wire net 20, which affects the accuracy of the wire bow value, and further affects the accuracy of the detection result of whether there is an abnormality in the cutting wire net 20.

[0034] In view of this, some embodiments of the present application provide a method for detecting abnormalities in a wire mesh of a wire mesh cutting machine, wherein the three rollers in the method can conduct electricity; after the cut wire mesh is grouped, the electrical signal data on each group of wire meshes to be detected is collected, and an electrical signal detection graph is generated; and the presence of an abnormality is determined by the electrical signal detection graph. Some embodiments of the present application can continuously monitor the cut wire mesh by means of electrical signal simulation, achieve accurate detection of whether there is an abnormality in the cut wire mesh, and can also detect the type of the current abnormality, with high detection efficiency and high practicality.

[0035] The following is combined with Figure 2 The overall composition structure of a system for detecting anomalies in a wire web of a wire web cutting machine provided in some embodiments of the present application is exemplified.

[0036] like Figure 2As shown, some embodiments of the present application provide a system for detecting abnormalities in a wire mesh of a wire mesh cutting machine, and the system for detecting abnormalities in a wire mesh of a wire mesh cutting machine includes: a wire mesh cutting machine 100, an electric signal detection device 200, and a terminal 300. The wire mesh cutting machine 100, the electric signal detection device 200, and the terminal 300 are connected in sequence to realize data transmission. Among them, the three rollers of the wire mesh cutting machine 100 are made of conductive materials. One of the three rollers is positively charged, and the other two rollers are negatively charged; or, one roller is negatively charged, and the other two rollers are positively charged. The electric signal detection device 200 is used to detect the electric signal data in the wire mesh to be detected. The electric signal detection device 200 can be deployed inside or outside the wire mesh cutting machine 100. The terminal 300 can group the cut wire mesh in a set manner, obtain the electric signal data of each group of wire mesh to be detected, and then generate a corresponding electric signal detection graph, and finally analyze the electric signal detection graph to determine whether there is an abnormality in the cut wire mesh.

[0037] In some embodiments of the present application, the electrical signal detection device 200 may be an oscilloscope or other electrical device for performing electrical signal detection; the terminal 300 may be a mobile terminal or a non-portable computer terminal, which is not specifically limited in the embodiments of the present application.

[0038] The following is combined with Figure 3 The implementation process of wire net anomaly detection of a wire net cutting machine performed by the terminal 300 provided in some embodiments of the present application is exemplarily described.

[0039] Please see attached Figure 3 , Figure 3 A flow chart of a method for detecting anomalies of a wire mesh of a wire mesh cutting machine is provided for some embodiments of the present application. The method for detecting anomalies of a wire mesh of a wire mesh cutting machine may include:

[0040] S310, grouping the cut wire webs on the rollers in the wire web cutting machine to obtain multiple groups of wire webs to be tested.

[0041] For example, in some embodiments of the present application, the cutting wire nets are grouped to obtain multiple groups of wire nets to be detected, thereby achieving group detection of the cutting wire nets.

[0042] The long wire of the cutting wire net is divided into N coils by the three rollers, one coil includes three sections of wire net, and N is a positive integer.

[0043] For example, Figure 1As shown, the cutting wire net 20 is wound on three rollers and divided into a plurality of coils, each coil is divided into three segments of wire net by the three rollers, namely, a segment between the first roller 11 and the second roller 12, a segment between the first roller 11 and the third roller 13, and a segment between the second roller 12 and the third roller 13. For example, the initial position of the first coil on the second roller 12 is taken as the starting point P0, and the position of the adjacent rear coil corresponding to P0 is P1, P0 and P1 constitute a complete coil (i.e., when N=1), and there are three segments between P0-P1 (i.e., three segments of wire net), and so on.

[0044] In some embodiments of the present application, S310 may include: dividing the cut wire mesh with a preset coil number n as a period to obtain multiple groups of wire meshes to be tested, wherein each group of wire meshes to be tested includes 3n segments of wire mesh within the preset coil number n; wherein n is less than N and n is a positive integer.

[0045] For example, in some embodiments of the present application, when n=1, the cutting wire mesh can be divided into N groups of wire meshes to be detected, that is, the three wire segments between P0-P1 are grouped as one, the three wire segments between P1-P2 are grouped as one, and so on. N-1 -P N The three line segments between are the Nth group, thereby obtaining N groups of line nets to be detected (as a specific example of multiple groups of line nets to be detected). When n≠1, P0-P n Multiple line segments between them are grouped as one, P n -P 2n The multiple line segments between are grouped as one, and so on, N / n groups of line networks to be detected are obtained (as a specific example of multiple groups of line networks to be detected). Among them, N can be an integer multiple of n, and the value of n can be set according to the actual application scenario, which is not specifically limited in the embodiments of the present application.

[0046] In some other embodiments of the present application, S310 may include: dividing the cut wire mesh into a plurality of regions; and using a wire mesh segment in each of the plurality of regions as each group of wire meshes to be inspected in the plurality of groups of wire meshes to be inspected.

[0047] For example, in other embodiments of the present application, the cutting wire net may be divided into multiple areas according to factors such as the working area and distribution of the cutting wire net, and multiple line segments in each area constitute a group of wire nets to be detected.

[0048] It is understandable that the grouping scheme of the cutting wire network can be flexibly set according to the actual application scenario, and the embodiments of the present application are not limited thereto.

[0049] S320, obtaining an electrical signal detection diagram of each group of line nets to be detected in the multiple groups of line nets to be detected.

[0050] For example, in some embodiments of the present application, the terminal 300 may generate a corresponding electrical signal detection diagram for each group of wire nets to be detected, so as to facilitate abnormal detection of the cut wire nets.

[0051] In some embodiments of the present application, S320 may include: obtaining electrical signal data of each group of wire networks to be detected obtained by using an electrical signal detection device, wherein the electrical signal data includes: wire network voltage, wire network current and wire network resistance; generating the electrical signal detection graph corresponding to the electrical signal data, wherein the electrical signal detection graph includes: wire network current waveform graph and wire network resistance waveform graph.

[0052] For example, in some embodiments of the present application, an oscilloscope is used to perform signal detection on each group of wire nets to be detected to obtain wire net voltage, wire net current and wire net resistance values; then, corresponding wire net current waveforms and wire net resistance waveforms are generated based on these signal data. A group of wire nets to be detected corresponds to a group of electrical signal data.

[0053] S330, based on the electrical signal detection diagram, determine whether there is an abnormality in the cutting wire network; wherein the types of the abnormality include: wire bow abnormality, wire break abnormality or wire parallel abnormality.

[0054] For example, in some embodiments of the present application, the types of abnormalities existing in the cutting wire mesh can be distinguished through abnormal peaks and discontinuities on the waveform diagram (as a specific example of the electrical signal detection diagram), and the areas where the abnormalities exist can also be located (that is, each group of wire meshes to be detected corresponds to an area). Among them, the types of abnormalities can also include other abnormalities in addition to the above-mentioned cases, and the embodiments of the present application are not limited to this. In addition, when analyzing the electrical signal detection diagram, one or more of the wire bow abnormality, wire break abnormality and line parallel abnormality can also be detected simultaneously, and the embodiments of the present application are not specifically limited here.

[0055] In some embodiments of the present application, S330 may include: when there is no interruption point in the wire mesh current waveform of any group of wire meshes to be detected and the wire mesh resistance waveform shows an increasing trend, determining that the cut wire mesh has the wire bow abnormality; when there is an interruption point in the wire mesh current waveform of any group of wire meshes to be detected and the resistance value in the wire mesh resistance waveform exceeds the set maximum value, determining that the cut wire mesh has the wire break abnormality; when there is an interruption point in the wire mesh current waveform of any group of wire meshes to be detected, the resistance value in the wire mesh resistance waveform is lower than the set minimum value, and there is no interruption in the wire mesh current waveform of the adjacent group of wire meshes to be detected of any group of wire meshes to be detected, determining that the cut wire mesh has the wire paralleling abnormality.

[0056] For example, in some embodiments of the present application, the process of locating the line bow abnormality is: the line network current waveform does not interrupt (that is, there is no interruption point), and the resistance value of the line network resistance waveform gradually increases (that is, it shows an increasing trend), then the line bow abnormality occurs. The process of locating the line break abnormality is: the line network current waveform shows an interruption (that is, there is an interruption point), and the resistance value on the line network resistance waveform increases greatly (that is, exceeds the maximum value), then the corresponding area has a line break abnormality. The process of locating the line paralleling abnormality is: the line network current waveform shows an interruption, and the resistance value on the line network resistance waveform decreases (that is, it is lower than the minimum value), and the line network current waveform of the adjacent area (that is, the adjacent group of lines to be detected) does not interrupt, then the line paralleling abnormality occurs between the two areas corresponding to the two groups of lines to be detected.

[0057] In some embodiments of the present application, the method for detecting wire mesh abnormalities of a wire mesh cutting machine also includes: generating abnormality alarm information when the abnormality exists in the cut wire mesh, wherein the abnormality alarm information includes the abnormality type and the abnormal area; and adjusting the cutting process of the wire mesh cutting machine based on the type of the abnormality.

[0058] For example, in some embodiments of the present application, when there is an abnormality in the cutting of the wire mesh, an abnormal alarm message can be generated and the technician can be informed by means of an information prompt or a message. In addition, the terminal 300 can determine to adjust the cutting process of the wire mesh cutting machine (such as stopping cutting or adjusting certain cutting parameters) based on the abnormality type. For example, if a wire break abnormality or a line paralleling abnormality occurs, a shutdown alarm can be issued. If a wire bow abnormality occurs, the cutting speed (that is, the cutting parameters) in the cutting process can be adjusted until the wire bow abnormality is eliminated. Specifically, the adjustment method of the cutting process can be pre-set according to the actual application scenario, and the specific adjustment method is not specifically limited in the embodiments of the present application.

[0059] The following is combined with Figure 4 The specific process of wire mesh anomaly detection of a wire mesh cutting machine provided in some embodiments of the present application is exemplified.

[0060] Please see attached Figure 4 , Figure 4 A flow chart of a method for detecting wire web anomalies of a wire web cutting machine is provided for some embodiments of the present application.

[0061] The above process is explained below as an example.

[0062] S410, grouping the cut wire webs on the rollers in the wire web cutting machine to obtain multiple groups of wire webs to be tested.

[0063] S420, obtaining electrical signal data of each group of to-be-detected wire networks detected by using an electrical signal detection device.

[0064] S430, generating a line network current waveform diagram and a line network resistance waveform diagram corresponding to the electrical signal data of each group of line networks to be detected.

[0065] S440, based on the wire mesh current waveform and the wire mesh resistance waveform, determine whether there is an abnormality in cutting the wire mesh, if so, execute S450, otherwise return to S420.

[0066] S450, locate the abnormal type and abnormal area, and generate abnormal alarm information.

[0067] S460, adjusting the cutting process of the wire mesh cutting machine based on the type of the abnormality.

[0068] It can be understood that the specific implementation process of S410 to S460 can refer to the method embodiment provided above, and in order to avoid repetition, the detailed description is appropriately omitted here.

[0069] Through some of the above-mentioned embodiments of the present application, it can be seen that in the method of detecting cutting wire network anomalies through electrical signal simulation provided by the present application, the cutting wire network can be monitored and detected in real time and uninterruptedly, and abnormal conditions such as wire parallelism, wire breakage, wire bowing, etc. in the cutting wire network can be discovered in time, and the detection efficiency is high.

[0070] Please refer to Figure 5 , Figure 5 The block diagram of the composition of the device for detecting anomalies of a wire mesh cutting machine provided by some embodiments of the present application is shown. It should be understood that the device for detecting anomalies of a wire mesh cutting machine corresponds to the above method embodiment and can execute each step involved in the above method embodiment. The specific functions of the device for detecting anomalies of a wire mesh cutting machine can be found in the description above. To avoid repetition, the detailed description is appropriately omitted here.

[0071] Figure 5 The device for detecting anomalies of a wire mesh of a wire mesh cutting machine includes at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the device for detecting anomalies of a wire mesh of a wire mesh cutting machine. The device for detecting anomalies of a wire mesh of a wire mesh cutting machine includes: a grouping module 510, used to group the cut wire mesh on the roller in the wire mesh cutting machine to obtain multiple groups of wire meshes to be detected; a signal detection module 520, used to obtain an electrical signal detection diagram of each group of wire meshes to be detected in the multiple groups of wire meshes to be detected; an abnormality detection module 530, used to determine whether there is an abnormality in the cut wire mesh based on the electrical signal detection diagram; wherein the types of abnormalities include: wire bow abnormality, wire break abnormality or wire parallel abnormality.

[0072] In some embodiments of the present application, the grouping module 510 is used to divide the cut wire mesh into a period of a preset coil number n to obtain multiple groups of wire meshes to be detected, wherein each group of wire meshes to be detected includes 3n segments of wire meshes within the preset coil number n; wherein n is less than N and is a positive integer.

[0073] In some embodiments of the present application, the grouping module 510 is used to divide the cutting wire mesh into multiple areas; and use the wire mesh segments in each of the multiple areas as each group of wire meshes to be inspected in the multiple groups of wire meshes to be inspected.

[0074] In some embodiments of the present application, the signal detection module 520 is used to obtain electrical signal data of each group of wire networks to be detected obtained by using an electrical signal detection device, wherein the electrical signal data includes: wire network current and wire network resistance; and generate the electrical signal detection graph corresponding to the electrical signal data, wherein the electrical signal detection graph includes: wire network current waveform graph and wire network resistance waveform graph.

[0075] In some embodiments of the present application, the abnormality detection module 530 is used to determine that the cut wire net has the wire bow abnormality when there is no interruption point in the wire net current waveform of any group of wire nets to be detected and the wire net resistance waveform shows an increasing trend; when there is an interruption point in the wire net current waveform of any group of wire nets to be detected and the resistance value in the wire net resistance waveform exceeds a set maximum value, it is determined that the cut wire net has the wire break abnormality; when there is an interruption point in the wire net current waveform of any group of wire nets to be detected, the resistance value in the wire net resistance waveform is lower than a set minimum value, and there is no interruption in the wire net current waveform of the adjacent group of wire nets to be detected of any group of wire nets to be detected, it is determined that the cut wire net has the wire paralleling abnormality.

[0076] In some embodiments of the present application, the abnormality detection module 530 is used to generate abnormality alarm information when the cutting wire mesh has the abnormality, wherein the abnormality alarm information includes the abnormality type and the abnormal area; and adjust the cutting process of the wire mesh cutting machine based on the type of the abnormality.

[0077] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method, and will not be described in detail here.

[0078] Some embodiments of the present application further provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the operations of the method corresponding to any of the above methods provided in the above embodiments.

[0079] Some embodiments of the present application further provide a computer program product, which includes a computer program, wherein when the computer program is executed by a processor, it can implement the operations corresponding to any of the above methods provided in the above embodiments.

[0080] like Figure 6 As shown, some embodiments of the present application provide an electronic device 600, which includes: a memory 610, a processor 620, and a computer program stored in the memory 610 and executable on the processor 620, wherein the processor 620 can implement a method as described in any of the above embodiments when reading the program from the memory 610 through a bus 630 and executing the program.

[0081] Processor 620 can process digital signals and can include various computing structures, such as complex instruction set computer structure, reduced instruction set computer structure, or a structure that implements a combination of multiple instruction sets. In some examples, processor 620 can be a microprocessor.

[0082] The memory 610 may be used to store instructions executed by the processor 620 or data related to the execution of instructions. These instructions and / or data may include codes for implementing some or all functions of one or more modules described in the embodiments of the present application. The processor 620 of the disclosed embodiment may be used to execute instructions in the memory 610 to implement the method shown above. The memory 610 includes a dynamic random access memory, a static random access memory, a flash memory, an optical memory, or other memory known to those skilled in the art.

[0083] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0084] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0085] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A method for detecting abnormality of a wire mesh of a wire mesh cutting machine, characterized in that: include: The cut wire nets on the roller shaft in the wire net cutting machine are grouped to obtain multiple groups of wire nets to be tested; Acquire an electrical signal detection diagram of each group of line nets to be detected in the plurality of groups of line nets to be detected; Based on the electrical signal detection diagram, determine whether there is an abnormality in the cutting wire network; wherein the types of the abnormality include: wire bow abnormality, wire break abnormality or wire parallel abnormality.

2. The method according to claim 1, characterized in that The cutting wire net is a long wire, which is wound in sequence on three conductive rollers in the wire net cutting machine; the long wire is divided into N coils by the three rollers, and one coil includes three sections of wire net, and N is a positive integer.

3. The method according to claim 2, characterized in that The method of grouping the cut wire webs on the roller shaft in the wire web cutting machine to obtain multiple groups of wire webs to be tested includes: The cut wire mesh is divided into multiple groups of wire meshes to be tested with a preset number of coils n as a period, wherein each group of wire meshes to be tested includes 3n segments of wire meshes within the preset number of coils n; wherein n is less than N and is a positive integer.

4. The method according to claim 1, characterized in that The method of grouping the cut wire webs on the roller shaft in the wire web cutting machine to obtain multiple groups of wire webs to be tested includes: Dividing the cutting wire network into a plurality of areas; The line network segment in each of the multiple areas is used as each group of line networks to be detected in the multiple groups of line networks to be detected.

5. The method according to any one of claims 1 to 4, characterized in that The obtaining of an electrical signal detection diagram of each group of line nets to be detected in the plurality of groups of line nets to be detected comprises: Acquire electrical signal data of each group of wire nets to be detected obtained by using an electrical signal detection device, wherein the electrical signal data includes: wire net voltage, wire net current and wire net resistance; The electrical signal detection graph corresponding to the electrical signal data is generated, wherein the electrical signal detection graph includes: a wire mesh current waveform graph and a wire mesh resistance waveform graph.

6. The method according to claim 5, characterized in that The determining whether the cutting wire network is abnormal based on the electrical signal detection graph includes: When the wire net current waveform of any group of wire nets to be detected does not have a discontinuity point and the wire net resistance waveform shows an increasing trend, it is determined that the cut wire net has the wire bow abnormality; When there is a break point in the wire net current waveform of any group of wire nets to be detected and the resistance value in the wire net resistance waveform exceeds a set maximum value, it is determined that the cut wire net has the wire break anomaly; When there is an interruption point in the wire network current waveform of any group of wire networks to be detected, the resistance value in the wire network resistance waveform is lower than the set minimum value, and there is no interruption in the wire network current waveform of the adjacent group of wire networks to be detected of any group of wire networks to be detected, it is determined that the cut wire network has the parallel line abnormality.

7. The method according to any one of claims 1 to 4 and 6, characterized in that: The method further comprises: When the cutting wire network has the abnormality, generating abnormality alarm information, wherein the abnormality alarm information includes the abnormality type and the abnormal area; The cutting process of the wire web cutting machine is adjusted based on the type of the anomaly.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program executes the method according to any one of claims 1 to 7 when executed by a processor.

9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the computer program executes the method according to any one of claims 1 to 7 when being run by the processor.

10. A computer program product, characterized in that The computer program product comprises a computer program, wherein the computer program executes the method according to any one of claims 1 to 7 when executed by a processor.

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