Intelligent control method and device based on grinding wheel load and industrial controller

Abstract

The application discloses an intelligent control method and device based on an edge grinding wheel load, and an industrial controller. The method comprises the following steps: obtaining a working load current value corresponding to a target edge grinding wheel, and analyzing the relationship between the working load current value corresponding to the target edge grinding wheel and a minimum load current threshold value determined in advance; when the analysis result indicates that the working load current value corresponding to the target edge grinding wheel is smaller than the minimum load current threshold value, generating a control parameter for controlling the target edge grinding wheel according to the working load current value corresponding to the target edge grinding wheel, wherein the control parameter comprises a compensation feed amount corresponding to the target edge grinding wheel, and controlling the target edge grinding wheel to move a distance value corresponding to the compensation feed amount in a feed direction according to the control parameter. It can be seen that the application can give a compensation feed amount when the edge grinding wheel is worn, effectively improves the control accuracy and control efficiency of the target edge grinding wheel, and further ensures the grinding quality of the object to be ground.

Description

Intelligent control method and device based on grinding wheel load, industrial controller Technical Field

[0001] This invention relates to the field of intelligent control technology, and in particular to an intelligent control method and device based on the load of the grinding wheel, and an industrial controller. Background Technology

[0002] As living standards improve, people's requirements for the quality and specifications of ceramic tiles are constantly increasing, and grinding the dimensions of ceramic tiles has become an important part of the ceramic tile production process.

[0003] In actual production, when the grinding wheel wears down and fails to achieve the required grinding effect on ceramic tiles, users often need to manually adjust the feed rate of the grinding wheel. However, manual adjustment of the grinding wheel feed rate suffers from low accuracy and inefficiency. Therefore, it is particularly important to propose a technical solution that can improve the accuracy of grinding wheel control. Summary of the Invention

[0004] This invention provides an intelligent control method and device based on the load of the grinding wheel, as well as an industrial controller. When the grinding wheel wears, it can provide a compensating feed amount, effectively improving the control accuracy and efficiency of the target grinding wheel, thereby ensuring the grinding quality of the workpiece to be ground.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses an intelligent control method based on the load of a grinding wheel, the method comprising:

[0006] Obtain the working load current value corresponding to the target grinding wheel, and analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold to obtain the analysis results;

[0007] When the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, control parameters for controlling the target grinding wheel are generated based on the working load current value corresponding to the target grinding wheel. The control parameters include the compensation feed amount corresponding to the target grinding wheel.

[0008] Based on the control parameters, the target grinding wheel is controlled to move in the feed direction by the distance corresponding to the compensation feed amount.

[0009] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0010] Obtain the item information corresponding to the item to be ground and the grinding wheel information corresponding to the target grinding wheel. The item information includes the hardness information and / or thickness information corresponding to the item to be ground. The grinding wheel information includes the material information and / or initial thickness information corresponding to the target grinding wheel.

[0011] The item information and the grinding wheel information are input into a preset algorithm model for calculation to obtain the calculation result, wherein the calculation result includes at least the feed amount-load current relationship corresponding to the target grinding wheel;

[0012] The step of generating control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel includes:

[0013] Based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel, the compensation feed amount corresponding to the target grinding wheel is determined, and control parameters for controlling the target grinding wheel are generated based on the supplementary feed amount.

[0014] As an optional implementation, in the first aspect of the present invention, determining the compensation feed amount corresponding to the target grinding wheel based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel includes:

[0015] The compensation load current value corresponding to the target grinding wheel is determined based on the working load current value corresponding to the target grinding wheel and the minimum load current threshold.

[0016] Based on the compensated load current value, the feed amount-load current relationship corresponding to the target grinding wheel, and the initial thickness information corresponding to the target grinding wheel, the thickness loss value corresponding to the target grinding wheel is calculated, and the compensated feed amount corresponding to the target grinding wheel is determined based on the thickness loss value.

[0017] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0018] Obtain the historical working load current record corresponding to the target grinding wheel;

[0019] Based on the waveform diagram corresponding to the historical working load current record and the material information corresponding to the target grinding wheel, the working load current range corresponding to the target grinding wheel is determined, and the minimum working load current value corresponding to the working load current range is determined as the minimum load current threshold.

[0020] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0021] Based on the historical working load current record corresponding to the target grinding wheel and the determined thickness loss value corresponding to the target grinding wheel, the historical grinding data corresponding to the target grinding wheel is calculated. The historical grinding data includes the historical grinding amount and / or historical grinding duration corresponding to the target grinding wheel.

[0022] Based on the material information corresponding to the target grinding wheel and the hardness information corresponding to the workpiece to be ground, the theoretical grinding amount corresponding to the target grinding wheel is determined;

[0023] Based on the historical grinding data and the theoretical grinding amount, predict the remaining theoretical grinding data of the target grinding wheel;

[0024] The remaining theoretical grinding data includes the remaining grinding amount of the target grinding wheel and / or the remaining grinding time of the target grinding wheel.

[0025] As an optional implementation, in a first aspect of the invention, the method is applied to a grinding system, the system comprising multiple sets of grinding wheels, and the method further comprising:

[0026] When the current grinding wheel set is grinding the workpiece, the size of the workpiece is detected and compared with the maximum grindable size of the next grinding wheel set corresponding to the current grinding wheel set.

[0027] When the size of the workpiece to be ground is greater than the maximum grindable size corresponding to the next set of grinding wheels, the conveyor speed of the workpiece to be ground in the current set of grinding wheels is reduced.

[0028] When the size of the item to be ground is less than or equal to the maximum grindable size corresponding to the next set of grinding wheels, the item to be ground is transferred from the current set of grinding wheels to the next set of grinding wheels so that the next set of grinding wheels can grind the item to be ground.

[0029] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0030] Based on the determined thickness loss value corresponding to the target grinding wheel and the historical grinding data, the ratio between the grinding length of the target grinding wheel and the thickness loss value of the target grinding wheel is determined.

[0031] Based on the ratio between the grinding length of the target grinding wheel and the thickness loss value of the target grinding wheel, the predicted remaining theoretical grinding data of the target grinding wheel is corrected to update the remaining theoretical grinding data of the target grinding wheel.

[0032] Furthermore, the formula for the relationship between the feed rate and the load current corresponding to the target grinding wheel is as follows:

[0033] I = k f Δl n ;

[0034] Where I is the load current value corresponding to the target grinding wheel, and k f Δl is the grinding ratio constant corresponding to the workpiece to be ground, and Δl is the feed rate corresponding to the target grinding wheel. <n<1。

[0035] A second aspect of this invention discloses an intelligent control device based on the load of a grinding wheel, the device comprising:

[0036] The acquisition module is used to acquire the working load current value corresponding to the target grinding wheel, and analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold to obtain the analysis results;

[0037] The generation module is used to generate control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel when the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold. The control parameters include the compensation feed amount corresponding to the target grinding wheel.

[0038] The control module is used to control the target grinding wheel to move in the feed direction by the distance value corresponding to the compensation feed amount, according to the control parameters.

[0039] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to acquire item information corresponding to the item to be ground and grinding wheel information corresponding to the target grinding wheel, wherein the item information includes hardness information and / or thickness information corresponding to the item to be ground, and the grinding wheel information includes material information and / or initial thickness information corresponding to the target grinding wheel;

[0040] The device further includes:

[0041] The calculation module is used to input the item information and the grinding wheel information into a preset algorithm model for calculation to obtain the calculation result, wherein the calculation result includes at least the feed amount-load current relationship corresponding to the target grinding wheel;

[0042] Specifically, the method by which the generation module generates control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel includes:

[0043] Based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel, the compensation feed amount corresponding to the target grinding wheel is determined, and control parameters for controlling the target grinding wheel are generated based on the supplementary feed amount.

[0044] As an optional implementation, in a second aspect of the present invention, the method by which the generation module determines the compensation feed amount corresponding to the target grinding wheel based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel specifically includes:

[0045] The compensation load current value corresponding to the target grinding wheel is determined based on the working load current value corresponding to the target grinding wheel and the minimum load current threshold.

[0046] Based on the compensated load current value, the feed amount-load current relationship corresponding to the target grinding wheel, and the initial thickness information corresponding to the target grinding wheel, the thickness loss value corresponding to the target grinding wheel is calculated, and the compensated feed amount corresponding to the target grinding wheel is determined based on the thickness loss value.

[0047] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to acquire historical working load current records corresponding to the target grinding wheel;

[0048] The device further includes:

[0049] The determination module is used to determine the working load current range corresponding to the target grinding wheel based on the waveform diagram corresponding to the historical working load current record and the material information corresponding to the target grinding wheel, and to determine the minimum working load current value corresponding to the working load current range as the minimum load current threshold.

[0050] As an optional implementation, in the second aspect of the present invention, the calculation module is further configured to calculate the historical grinding data corresponding to the target grinding wheel based on the historical working load current record corresponding to the target grinding wheel and the determined thickness loss value corresponding to the target grinding wheel, wherein the historical grinding data includes the historical grinding amount and / or historical grinding duration corresponding to the target grinding wheel.

[0051] The determining module is further configured to determine the theoretical grinding amount corresponding to the target grinding wheel based on the material information corresponding to the target grinding wheel and the hardness information corresponding to the workpiece to be ground.

[0052] The device further includes:

[0053] The prediction module is used to predict the remaining theoretical grinding data of the target grinding wheel based on the historical grinding data and the theoretical grinding amount.

[0054] The remaining theoretical grinding data includes the remaining grinding amount of the target grinding wheel and / or the remaining grinding time of the target grinding wheel.

[0055] As an optional implementation, in a second aspect of the invention, the device is applied to a grinding system, the system comprising multiple sets of grinding wheels, and the device further comprising:

[0056] The detection module is used to detect the size of the work to be ground when the current grinding wheel set is grinding the work to be ground, and to compare the size of the work to be ground with the maximum grindable size of the next grinding wheel set corresponding to the current grinding wheel set.

[0057] The speed reduction module is used to reduce the conveyor speed of the workpiece to be ground in the current grinding wheel group when the size of the workpiece to be ground is greater than the maximum grindable size of the next grinding wheel group.

[0058] The transmission module is used to transfer the item to be ground from the current grinding wheel group to the next grinding wheel group when the size of the item to be ground is less than or equal to the maximum grindable size corresponding to the next grinding wheel group, so that the next grinding wheel group can grind the item to be ground.

[0059] As an optional implementation, in a second aspect of the present invention, the determining module is further configured to determine the ratio between the grinding length of the target grinding wheel and the thickness loss value of the target grinding wheel based on the determined thickness loss value corresponding to the target grinding wheel and the historical grinding data.

[0060] The device further includes:

[0061] The correction module is used to correct the predicted remaining theoretical grinding data of the target grinding wheel based on the ratio of the grinding length of the target grinding wheel to the thickness loss value of the target grinding wheel, so as to update the remaining theoretical grinding data of the target grinding wheel.

[0062] Furthermore, the formula for the relationship between the feed rate and the load current corresponding to the target grinding wheel is as follows:

[0063] I = k f Δl n ;

[0064] Where I is the load current value corresponding to the target grinding wheel, and k fΔl is the grinding ratio constant corresponding to the workpiece to be ground, and Δl is the feed rate corresponding to the target grinding wheel. <n<1。

[0065] A third aspect of the present invention discloses an industrial controller, the industrial controller comprising:

[0066] Memory containing executable program code;

[0067] A processor coupled to the memory;

[0068] The processor calls the executable program code stored in the memory to execute the intelligent control method based on the load of the grinding wheel disclosed in the first aspect of the present invention.

[0069] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked by an industrial controller, are used to execute the intelligent control method based on the load of the grinding wheel disclosed in the first aspect of the present invention.

[0070] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0071] In this embodiment of the invention, the working load current value corresponding to the target grinding wheel is obtained, and the relationship between the working load current value corresponding to the target grinding wheel and a predetermined minimum load current threshold is analyzed. When the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, control parameters for controlling the target grinding wheel are generated based on the working load current value corresponding to the target grinding wheel. The control parameters include the compensation feed amount corresponding to the target grinding wheel. Based on the control parameters, the target grinding wheel is controlled to move in the feed direction by a distance corresponding to the compensation feed amount. Therefore, implementing this invention can provide a compensation feed amount when the grinding wheel wears, effectively improving the accuracy and efficiency of controlling the target grinding wheel, thereby ensuring the grinding quality of the workpiece to be ground. Attached Figure Description

[0072] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0073] Figure 1 is a schematic diagram of the structure of a grinding machine to which an intelligent control method based on the load of the grinding wheel disclosed in an embodiment of the present invention is applicable;

[0074] Figure 2 is a flowchart illustrating an intelligent control method based on the load of the grinding wheel disclosed in an embodiment of the present invention;

[0075] Figure 3 is a waveform diagram of the working load current of a grinding wheel disclosed in an embodiment of the present invention;

[0076] Figure 4 is a flowchart illustrating another intelligent control device based on the load of the grinding wheel disclosed in an embodiment of the present invention;

[0077] Figure 5 is a flowchart illustrating an intelligent control algorithm based on the load of the grinding wheel disclosed in an embodiment of the present invention;

[0078] Figure 6 is a schematic diagram of the structure of an intelligent control device based on the load of the grinding wheel disclosed in an embodiment of the present invention;

[0079] Figure 7 is a schematic diagram of another intelligent control device based on the load of the grinding wheel disclosed in an embodiment of the present invention;

[0080] Figure 8 is a schematic diagram of the structure of an industrial controller disclosed in an embodiment of the present invention. Detailed Implementation

[0081] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0082] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0083] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0084] The present invention discloses an intelligent control method and device based on the load of an edging wheel, and an industrial controller. When the edging wheel is worn, a compensated feed amount can be given, effectively improving the control accuracy and control efficiency of the target edging wheel, and further ensuring the grinding quality of the item to be ground. The following will be described in detail respectively.

[0085] To better understand the intelligent control method and device based on the load of an edging wheel, and the industrial controller described in the present invention, first, the edging machine applicable to the intelligent control method based on the load of an edging wheel will be described. Specifically, the schematic structural diagram of the edging machine can be shown in FIG. 1. FIG. 1 is a schematic structural diagram of an edging machine disclosed in an embodiment of the present invention. As shown in FIG. 1, the edging machine may include a dimension detection component 101, an edging head feed component 102, an edging head feed servo power supply box 103, a connection member between the edging head motor and the edging head coupling 104, a lower chamfer head 105, a pneumatic chamfer head 106, and a conveying component 107. Among them, the dimension detection component 101 includes a ranging laser displacement sensor disposed above the conveyor belt and a main control device electrically connected to the ranging laser displacement sensor. The ranging laser displacement sensor includes a first ranging laser displacement sensor and a second ranging laser displacement sensor. The first ranging laser displacement sensor and the second ranging laser displacement sensor are both located above the conveyor belt and are installed opposite to each other. The relationship between the height H of the first ranging laser displacement sensor and the second ranging laser displacement sensor from the conveyor belt and the thickness a (8 - 30 mm) of the item to be ground is H < a. The distance L1 between the first ranging laser displacement sensor and the edge of the item to be ground is L1 ≤ 50 mm, and the distance L2 between the second ranging laser displacement sensor and the edge of the item to be ground is L2 ≤ 50 mm.

[0086] The edging head feed component 102 includes an edging head, an edging head drive motor, and a feed servo motor. The feed servo motor is disposed above the crossbeam of the edging machine and is electrically connected to the main control device. The edging head feed servo power supply box 103 is disposed above the crossbeam of the edging machine and is used to provide a 24DCV - 48DCV DC power supply for the edging head drive motor. The connection member between the edging head motor and the edging head coupling 104 and the pneumatic chamfer head 106 are disposed above the crossbeam of the edging machine. The conveying component 107 includes a conveyor belt disposed on the frame for conveying the item to be ground and a drive motor for driving the conveyor belt to rotate.

[0087] It should be noted that the schematic structural diagram of the edging machine shown in FIG. 1 only schematically shows the structure applicable to the intelligent control method based on the load of an edging wheel, and the schematic structural diagram of the edging machine shown in FIG. 1 is not limited thereto. And the above description of the schematic structural diagram of the edging machine applicable to the intelligent control method based on the load of an edging wheel has been made. Next, the intelligent control method and device based on the load of an edging wheel, and the industrial controller will be described in detail.

[0088] Example 1

[0089] Please refer to Figure 2, which is a flowchart illustrating an intelligent control method based on the load of the grinding wheel disclosed in an embodiment of the present invention. The intelligent control method based on the load of the grinding wheel described in Figure 2 can be applied to a grinding system. This grinding system may include a frame, a grinding wheel feed assembly, a conveying assembly, and a dimension detection assembly. The conveying assembly includes a conveyor belt mounted on the frame for conveying the workpiece to be ground and a drive motor for rotating the conveyor belt; however, this embodiment of the present invention does not limit the scope of the method. As shown in Figure 2, the intelligent control method based on the load of the grinding wheel may include the following operations:

[0090] 201. Obtain the working load current value corresponding to the target grinding wheel, and analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold to obtain the analysis results.

[0091] In an embodiment of the present invention, optionally, as shown in Figure 3, which is a waveform diagram of the working load current of a grinding wheel disclosed in an embodiment of the present invention, ABC represents one working load current cycle. The current waveform of segment AB represents the working load current when the grinding wheel grinds the workpiece to be ground, and the current waveform of segment BC represents the process when the grinding wheel completes the grinding operation on one workpiece to be ground and waits for the next workpiece to be ground. The range of the load current when the grinding wheel grinds the workpiece to be ground is calculated by cleaning, filtering and fitting multiple working load current cycles. Furthermore, the predetermined minimum load current threshold can be the minimum value among the calculated range of the load current when the grinding wheel grinds the workpiece to be ground, which is not limited in the present invention.

[0092] In this embodiment of the invention, optionally, the working load current value corresponding to the target grinding wheel can be obtained by a current detection device. The target grinding wheel can be a single grinding wheel or multiple grinding wheels. The current detection device can be one-to-one with the target grinding wheel, that is, a corresponding current detection device is set for each target grinding wheel, or a current detection device can be connected to multiple grinding wheels to detect the working load current value corresponding to multiple grinding wheels. The invention does not limit this.

[0093] 202. When the analysis results indicate that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, control parameters for controlling the target grinding wheel are generated based on the working load current value corresponding to the target grinding wheel. The control parameters include the compensation feed amount corresponding to the target grinding wheel.

[0094] In this embodiment of the invention, optionally, when the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, it indicates that the target grinding wheel is grinding the workpiece to be ground, but the grinding head of the target grinding wheel is not in contact with the workpiece to be ground or the contact is insufficient, that is, the target grinding wheel is worn and damaged, resulting in the preset feed amount not being able to meet the grinding operation of the workpiece to be ground.

[0095] In this embodiment of the invention, optionally, there is a proportional relationship between the working load current value of the target grinding wheel and the feed amount of the target grinding wheel. The control parameters corresponding to the target grinding wheel can be determined through this proportional relationship. The control parameters may include the compensation feed amount. Furthermore, the control parameters may also include the feed direction of the target grinding wheel, the adjustment control time of the target grinding wheel, etc. The invention does not limit these parameters.

[0096] 203. Based on the control parameters, control the target grinding wheel to move in the feed direction to compensate for the distance value corresponding to the feed amount.

[0097] In this embodiment of the invention, optionally, the feed direction of the target grinding wheel is the direction in which the target grinding wheel moves toward the workpiece to be ground in order to grind the workpiece; optionally, the target grinding wheels can be arranged in pairs on both sides of the conveyor belt used to transport the workpiece to be ground, and the feed direction of the pair of target grinding wheels is the side facing the center of the conveyor belt, which is not limited in this invention.

[0098] As can be seen, the intelligent control method based on the load of the grinding wheel described in Figure 2 can obtain the working load current value corresponding to the target grinding wheel and analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold. When the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, control parameters for controlling the target grinding wheel are generated based on the working load current value corresponding to the target grinding wheel. The control parameters include the compensation feed amount corresponding to the target grinding wheel. It can determine whether the target grinding wheel is worn by using the working load current value of the target grinding wheel. When wear occurs, control parameters for controlling the target grinding wheel are generated based on the working load current value of the target grinding wheel. Based on the control parameters, the target grinding wheel is moved in the feed direction by a distance corresponding to the compensation feed amount. When the grinding wheel is worn, a compensation feed amount can be given, which can effectively improve the control accuracy and efficiency of the target grinding wheel, thereby ensuring the grinding quality of the workpiece to be ground.

[0099] In an optional embodiment, the intelligent control method based on the grinding wheel load may further include the following operations:

[0100] Obtain the historical working load current record corresponding to the target grinding wheel;

[0101] Based on the waveform diagrams corresponding to historical working load current records and the material information corresponding to the target grinding wheel, the working load current range corresponding to the target grinding wheel is determined, and the minimum working load current value corresponding to the working load current range is determined as the minimum load current threshold.

[0102] In this optional embodiment, the historical working load current record corresponding to the target grinding wheel may include a corresponding waveform diagram. The waveform diagram records the current trend of the target grinding wheel, the time of the current abrupt change node, and the current magnitude label, etc. Optionally, the material of the target grinding wheel may be diamond abrasive, rubber, or other materials that can be used for grinding; this embodiment does not limit the choice.

[0103] In this optional embodiment, the method for determining the working load current range corresponding to the target grinding wheel may be to clean, filter, and fit the historical working load current records corresponding to the target grinding wheel, and then analyze them in conjunction with the material information corresponding to the target grinding wheel to obtain the working load current range corresponding to the target grinding wheel. Alternatively, the historical working load current records corresponding to the target grinding wheel and the material information corresponding to the target grinding wheel may be input into a preset AI algorithm model for calculation to obtain the working load current range corresponding to the target grinding wheel. This embodiment does not limit the method.

[0104] As can be seen, implementing this optional embodiment can obtain the historical working load current record corresponding to the target grinding wheel. Based on the waveform diagram corresponding to the historical working load current record and the material information corresponding to the target grinding wheel, the working load current range corresponding to the target grinding wheel can be determined, and the minimum working load current value corresponding to the working load current range can be determined as the minimum load current threshold. This can improve the accuracy and reliability of the determined minimum load current threshold corresponding to the target grinding wheel, thereby improving the accuracy of subsequent judgment of the working load current value and improving the control precision of the target grinding wheel.

[0105] In another alternative embodiment, the intelligent control method based on the grinding wheel load may further include the following operations:

[0106] Based on the historical working load current record corresponding to the target grinding wheel and the determined thickness loss value corresponding to the target grinding wheel, calculate the historical grinding data corresponding to the target grinding wheel. The historical grinding data includes the historical grinding amount and / or historical grinding duration corresponding to the target grinding wheel.

[0107] Based on the material information of the target grinding wheel and the hardness information of the workpiece to be ground, determine the theoretical grinding amount corresponding to the target grinding wheel;

[0108] Based on historical grinding data and theoretical grinding amount, predict the remaining theoretical grinding data of the target grinding wheel;

[0109] Among them, the remaining theoretical grinding data includes the remaining grinding amount of the target grinding wheel and / or the remaining grinding time of the target grinding wheel.

[0110] In this optional embodiment, the historical grinding data corresponding to the target grinding wheel may include the historical grinding amount and / or historical grinding time corresponding to the target grinding wheel. The historical grinding amount may be the length of the object to be ground by the target grinding wheel, the width of the object to be ground by the target grinding wheel, or the area of ​​the object to be ground by the target grinding wheel. The historical grinding time may be the idle time corresponding to the target grinding wheel, or it may only be the grinding time of the target grinding wheel on the object to be ground. This embodiment does not limit this.

[0111] In this optional embodiment, the material of the target grinding wheel can be diamond material, rubber material, or other materials that can be used for grinding. The remaining theoretical grinding data of the target grinding wheel can include one or more of the remaining theoretical grinding amount, remaining theoretical grinding time, and theoretical remaining thickness loss value of the target grinding wheel. This embodiment does not limit this.

[0112] As can be seen, implementing this optional embodiment can calculate the historical grinding data of the target grinding wheel based on the historical working load current record corresponding to the target grinding wheel and the determined thickness loss value corresponding to the target grinding wheel. Based on the material information of the target grinding wheel and the hardness information of the workpiece to be ground, the theoretical grinding amount of the target grinding wheel is determined. Based on the historical grinding data and the theoretical grinding amount, the remaining theoretical grinding data of the target grinding wheel is predicted. This can predict the remaining usage data of the target grinding wheel, that is, intelligently predict the scrap time of the target grinding wheel, effectively improving the accuracy and efficiency of determining the remaining theoretical grinding data of the target grinding wheel.

[0113] In yet another optional embodiment, the intelligent control method based on the grinding wheel load may further include the following operations:

[0114] Based on the determined thickness loss value corresponding to the target grinding wheel and historical grinding data, determine the ratio between the grinding length of the target grinding wheel and the thickness loss value of the target grinding wheel.

[0115] Based on the ratio between the grinding length of the target grinding wheel and the thickness loss value of the target grinding wheel, the predicted remaining theoretical grinding data of the target grinding wheel is corrected to update the remaining theoretical grinding data of the target grinding wheel.

[0116] Furthermore, the formula for the relationship between the feed rate and the load current corresponding to the target grinding wheel is:

[0117] I = k f Δln ;

[0118] Where I is the load current value corresponding to the target grinding wheel, and k f Δl is the grinding ratio constant corresponding to the workpiece to be ground, and Δl is the feed rate corresponding to the target grinding wheel. <n<1。

[0119] In this optional embodiment, the remaining theoretical grinding data of the target grinding wheel can be corrected by combining the ratio of grinding length to thickness loss value of the target grinding wheel with the theoretical grinding amount corresponding to the target grinding wheel. In the formula of feed rate to load current corresponding to the target grinding wheel, the grinding ratio constant is different for different items to be ground. Preferably, the value of n can be 0.86.

[0120] As can be seen, implementing this optional embodiment can correct the predicted remaining theoretical grinding data of the target grinding wheel based on the ratio of the grinding length of the target grinding wheel to the thickness loss value of the target grinding wheel, thereby improving the accuracy of the determined remaining theoretical grinding data of the target grinding wheel and thus improving the reliability of the predicted scrapping status of the target grinding wheel. Furthermore, the feed rate-load current relationship formula can improve the accuracy and reliability of the determined compensation feed rate.

[0121] In another optional embodiment, determining the working load current range corresponding to the target grinding wheel based on the waveform diagram corresponding to the historical working load current record and the material information corresponding to the target grinding wheel may include the following operations:

[0122] Clean the waveform of the historical working load current record corresponding to the target grinding wheel to obtain the cleaning working load current waveform of the target grinding wheel.

[0123] The average value of the cleaning workload current waveform is calculated to obtain the average workload current range.

[0124] Determine the material coefficient corresponding to the target grinding wheel based on the material information of the target grinding wheel;

[0125] The working load current range corresponding to the target grinding wheel is determined based on the average working load current range and the material coefficient corresponding to the target grinding wheel.

[0126] In this optional embodiment, the cleaning workload current waveform can be the waveform corresponding to the target grinding wheel grinding the workpiece, i.e., the waveform corresponding to the cleaning and filtering process of the target grinding wheel waiting for the workpiece to be ground, as well as the interference waveforms in the waveform. Optionally, averaging the cleaning workload current waveform can be done by dividing the waveform into multiple sampling points. The sampling points can be the sampling point at the beginning of contact with the workpiece, the sampling point at the end of contact with the workpiece, and multiple sampling points set at equal intervals or equal time intervals between the sampling points at the beginning and end of contact with the workpiece. Then, the average current value of the same sampling point in the cleaning workload current waveform is calculated to obtain the average workload current range. This embodiment does not limit this.

[0127] In this optional embodiment, the material coefficients corresponding to the target grinding wheels of different materials are different, that is, different grinding wheel materials have corresponding current ranges and proportional relationships, which are not limited in this embodiment.

[0128] As can be seen, implementing this optional embodiment can clean the waveform of the historical working load current record corresponding to the target grinding wheel, obtain the cleaning working load current waveform of the target grinding wheel, calculate the average value of the cleaning working load current waveform to obtain the average working load current range, determine the material coefficient of the target grinding wheel based on the material information of the target grinding wheel, and determine the working load current range of the target grinding wheel based on the average working load current range and the material coefficient of the target grinding wheel, thereby improving the accuracy and reliability of the determined working load current range.

[0129] Example 2

[0130] Please refer to Figure 4, which is a flowchart illustrating an intelligent control method based on the load of the grinding wheel disclosed in an embodiment of the present invention. The intelligent control method based on the load of the grinding wheel described in Figure 4 can be applied to a grinding system. This grinding system may include a frame, a grinding wheel feed assembly, a conveying assembly, and a dimension detection assembly. The conveying assembly includes a conveyor belt mounted on the frame for conveying the workpiece to be ground and a drive motor for rotating the conveyor belt; however, this embodiment of the present invention does not limit the scope of the method. As shown in Figure 4, the intelligent control method based on the load of the grinding wheel may include the following operations:

[0131] 301. Obtain the working load current value corresponding to the target grinding wheel, and analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold to obtain the analysis results.

[0132] 302. Obtain the item information corresponding to the item to be ground and the grinding wheel information corresponding to the target grinding wheel.

[0133] In this embodiment of the invention, optionally, the item information of the item to be ground may include one or more of the following: size information, type information, hardness information, and thickness information of the item to be ground. The size information of the item to be ground may include one or more of the following: target grinding size, initial size, and allowable error size of the item to be ground. The type of the item to be ground may be ceramic, glass, or other types of items that need to be ground. The hardness information of the item to be ground may include one or more of the following: Mohs hardness information, indentation hardness information, Rockwell hardness information, etc. The specific hardness type used to characterize the hardness attribute of the item to be ground may be determined by the operator, and this invention does not limit it.

[0134] In this embodiment of the invention, optionally, the grinding wheel information corresponding to the target grinding wheel may include one or more of the following: material information, size information, and grindable size information corresponding to the target grinding wheel. The size information of the grinding wheel may be used to limit the thickness of the item to be ground that the grinding wheel can grind in one pass. The grindable size of the grinding wheel may include the standard pass size and the maximum grindable size corresponding to the grinding wheel. The size information may also be used to indicate the initial thickness information corresponding to the grinding head of the grinding wheel. This invention does not impose any limitations on this.

[0135] 303. Input the item information and the grinding wheel information into the preset algorithm model for calculation to obtain the calculation results. The calculation results shall include at least the feed amount-load current relationship corresponding to the target grinding wheel.

[0136] In this embodiment of the invention, optionally, the preset algorithm model can be used to calculate and output information about the target grinding wheel, such as the working information of the target grinding wheel, the expected scrap information, the feed rate-load current relationship information, etc. Users can select the information they need in the preset UI interface so that the preset algorithm model outputs the corresponding information. This invention does not limit this.

[0137] 304. When the analysis results indicate that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, the compensation feed amount corresponding to the target grinding wheel is determined based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel, and control parameters for controlling the target grinding wheel are generated based on the supplementary feed amount.

[0138] In this embodiment of the invention, optionally, when the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, it indicates that the target grinding wheel is grinding the workpiece to be ground, but the grinding head of the target grinding wheel is not in contact with the workpiece to be ground or the contact is insufficient, that is, the target grinding wheel is worn and damaged, resulting in the preset feed amount not being able to meet the grinding operation of the workpiece to be ground.

[0139] In this embodiment of the invention, the control parameters may optionally include the feed direction of the target grinding wheel, the timing of the adjustment control of the target grinding wheel, etc., but the invention does not limit them.

[0140] 305. Based on the control parameters, control the target grinding wheel to move in the feed direction to compensate for the distance value corresponding to the feed amount.

[0141] In this embodiment of the invention, for other descriptions of steps 301 and 305, please refer to the detailed description of steps 201 and 203 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0142] In this embodiment of the invention, it should be noted that the order of occurrence of step 301 and steps 302-303 is not related. That is, step 301 can occur simultaneously with steps 302-303, and steps 302-303 can also occur before step 301.

[0143] As can be seen, the intelligent control method based on the grinding wheel load described in Figure 4 can obtain the working load current value corresponding to the target grinding wheel, analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold, and obtain the item information corresponding to the workpiece to be ground and the grinding wheel information corresponding to the target grinding wheel. The item information and grinding wheel information are input into a preset algorithm model for calculation to obtain the calculation results. The calculation results at least include the feed rate-load current relationship corresponding to the target grinding wheel, thus improving the accuracy and reliability of the calculated feed rate-load current relationship corresponding to the target grinding wheel. When the analysis results indicate that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, the compensation feed amount corresponding to the target grinding wheel is determined based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel. Control parameters for controlling the target grinding wheel are generated based on the compensation feed amount. According to the control parameters, the target grinding wheel is moved in the feed direction by a distance corresponding to the compensation feed amount. This can provide a compensation feed amount when the grinding wheel is worn, effectively improving the accuracy and efficiency of the control of the target grinding wheel, thereby ensuring the grinding quality of the workpiece to be ground.

[0144] In an optional embodiment, determining the compensation feed amount corresponding to the target grinding wheel based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel may include the following operations:

[0145] The compensation load current value corresponding to the target grinding wheel is determined based on the working load current value and the minimum load current threshold of the target grinding wheel.

[0146] Based on the compensation load current value, the feed amount-load current relationship of the target grinding wheel, and the initial thickness information of the target grinding wheel, the thickness loss value of the target grinding wheel is calculated, and the compensation feed amount of the target grinding wheel is determined based on the thickness loss value.

[0147] In this optional embodiment, the compensation load current value can be the difference between the minimum load current threshold and the working load current value, or it can be determined by performing relevant calculations on the minimum load current threshold and the working load current value, and then adding the current loss value. Optionally, the compensation feed amount corresponding to the target grinding wheel can be an additional feed amount independent of the initial feed amount of the target grinding wheel, or it can be the total feed amount including the initial feed amount of the target grinding wheel; this embodiment does not impose any limitations.

[0148] As can be seen, implementing this optional embodiment can determine the compensation load current value corresponding to the target grinding wheel based on the working load current value and the minimum load current threshold. Based on the compensation load current value, the feed-load current relationship corresponding to the target grinding wheel, and the initial thickness information of the target grinding wheel, the thickness loss value corresponding to the target grinding wheel is calculated. Then, the compensation feed amount corresponding to the target grinding wheel is determined based on the thickness loss value. This method improves the accuracy and reliability of the determined compensation feed amount, thereby enhancing the accuracy of target grinding wheel control.

[0149] In another optional embodiment, the intelligent control method based on the grinding wheel load is applied to a grinding system comprising multiple sets of grinding wheels. The intelligent control method based on the grinding wheel load may further include the following operations:

[0150] When the current grinding wheel set is grinding the workpiece, the corresponding size of the workpiece is detected and compared with the maximum grindable size of the next grinding wheel set corresponding to the current grinding wheel set.

[0151] When the size of the item to be ground is greater than the maximum grindable size of the next set of grinding wheels, reduce the conveyor speed of the item to be ground in the current set of grinding wheels.

[0152] When the size of the item to be ground is less than or equal to the maximum grindable size of the next set of grinding wheels, the item to be ground is transferred from the current set of grinding wheels to the next set of grinding wheels so that the next set of grinding wheels can grind the item.

[0153] In this optional embodiment, the grinding system may optionally include multiple sets of grinding wheels. Preferably, the same set of grinding wheels may be arranged facing each other on both sides of the conveyor belt for grinding the items to be ground conveyed on the conveyor belt. More preferably, 8-16 sets of grinding wheels may be provided. Optionally, the size of the item to be ground can be detected by a size detection device integrated into the target grinding wheel, or by a size detection device set independently of the target grinding wheel. The size detection device includes, but is not limited to, laser size detection devices, infrared size detection devices, and electromagnetic wave size detection devices. This embodiment does not limit the scope of the device.

[0154] In this optional embodiment, optionally reducing the conveyor speed of the workpiece to be ground in the current grinding wheel set can increase the grinding time of the current grinding wheel set for grinding the workpiece to be ground, thereby enabling the workpiece to reach the preset passing size corresponding to the next grinding wheel set.

[0155] In this optional embodiment, as shown in Figure 5, which is a flowchart of an intelligent control algorithm based on the load of the grinding wheel disclosed in this embodiment of the invention, the size of the item to be ground is detected. When the size of the item to be ground is qualified, it is determined whether the grinding time var is minimum. When it is determined that the grinding time var is minimum, the optimal control scheme is output. When the size of the item to be ground is unqualified, the size of the item to be ground is determined. When the size of the item to be ground is too large, the minimum grinding time is increased. When the size of the item to be ground is too small, the maximum grinding time is decreased. When it is determined that the grinding time var is not minimum, the minimum grinding time is increased and the maximum grinding time is decreased.

[0156] As can be seen, implementing this optional embodiment can detect the size of the workpiece to be ground when the current grinding wheel set is grinding it, and compare the size of the workpiece to be ground with the maximum grindable size of the next grinding wheel set. If the size is greater than the maximum grindable size of the next grinding wheel set, the grinding time of the current grinding wheel set is increased, thereby enabling the workpiece to reach the preset passing size of the next grinding wheel set, improving the grinding efficiency of the grinding wheel set and thus achieving higher production efficiency.

[0157] In another optional embodiment, when the analysis results indicate that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, the intelligent control method based on the grinding wheel load may include the following operations:

[0158] Determine the working state of the target grinding wheel, which includes the waiting-to-grind state and the grinding state;

[0159] When the target grinding wheel is in the grinding state, the operation of determining the compensation feed amount of the target grinding wheel is performed based on the working load current value of the target grinding wheel and the feed amount-load current relationship of the target grinding wheel.

[0160] In this optional embodiment, as shown in Figure 3, which is a waveform diagram of the working load current of a grinding wheel disclosed in an embodiment of the present invention, the AB segment current waveform represents the working load current of the grinding wheel when grinding the workpiece to be ground, that is, the AB segment current waveform can represent the working state of the target grinding wheel as the grinding state; the BC segment current waveform represents the process of the grinding wheel completing the grinding operation on one workpiece to be ground and waiting for the next workpiece to be ground, that is, the BC segment current waveform can represent the working state of the target grinding wheel as the waiting grinding state.

[0161] As can be seen, implementing this optional embodiment can perform the operation of determining the compensation feed amount of the target grinding wheel based on the working load current value of the target grinding wheel and the feed amount-load current relationship of the target grinding wheel when the target grinding wheel is in the grinding state. This can avoid calculating the compensation feed amount of the target grinding wheel when the target grinding wheel is in the waiting grinding state, thus improving the efficiency of determining the compensation feed amount of the target grinding wheel.

[0162] Example 3

[0163] Please refer to Figure 6, which is a structural schematic diagram of an intelligent control device based on the load of the grinding wheel disclosed in an embodiment of the present invention. The intelligent control device based on the load of the grinding wheel described in Figure 6 can be applied to a grinding system. This grinding system may include a frame, a grinding wheel feed assembly, a conveying assembly, and a size detection assembly. The conveying assembly includes a conveyor belt mounted on the frame for conveying the workpiece to be ground and a drive motor for driving the conveyor belt to rotate. This embodiment of the present invention does not limit the scope of the invention. As shown in Figure 6, the intelligent control device based on the load of the grinding wheel may include:

[0164] The acquisition module 401 is used to acquire the working load current value corresponding to the target grinding wheel, and analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold to obtain the analysis results;

[0165] The generation module 402 is used to generate control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel when the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold. The control parameters include the compensation feed amount corresponding to the target grinding wheel.

[0166] The control module 403 is used to control the target grinding wheel to move in the feed direction according to the control parameters to compensate for the distance value corresponding to the feed amount.

[0167] As can be seen, the intelligent control device based on the grinding wheel load described in Figure 6 can obtain the working load current value corresponding to the target grinding wheel and analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold. When the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, control parameters for controlling the target grinding wheel are generated based on the working load current value corresponding to the target grinding wheel. The control parameters include the compensation feed amount corresponding to the target grinding wheel. It can determine whether the target grinding wheel is worn by using the working load current value of the target grinding wheel. When wear occurs, control parameters for controlling the target grinding wheel are generated based on the working load current value of the target grinding wheel. Based on the control parameters, the target grinding wheel is controlled to move in the feed direction by a distance corresponding to the compensation feed amount. When the grinding wheel is worn, a compensation feed amount can be given, which effectively improves the control accuracy and efficiency of the target grinding wheel, thereby ensuring the grinding quality of the workpiece to be ground.

[0168] In an optional embodiment, as shown in FIG7, the acquisition module 401 is further configured to acquire the item information corresponding to the item to be ground and the grinding wheel information corresponding to the target grinding wheel. The item information includes the hardness information and / or thickness information corresponding to the item to be ground, and the grinding wheel information includes the material information and / or initial thickness information corresponding to the target grinding wheel.

[0169] The intelligent control device based on the load of the grinding wheel may also include:

[0170] The calculation module 404 is used to input the item information and the grinding wheel information into the preset algorithm model for calculation and to obtain the calculation result. The calculation result includes at least the feed amount-load current relationship corresponding to the target grinding wheel.

[0171] The specific methods by which the generation module 402 generates control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel include:

[0172] Based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel, the compensation feed amount corresponding to the target grinding wheel is determined, and control parameters for controlling the target grinding wheel are generated based on the supplementary feed amount.

[0173] As can be seen, the intelligent control device based on the grinding wheel load described in Figure 7 can obtain the working load current value corresponding to the target grinding wheel, analyze the relationship between the working load current value corresponding to the target grinding wheel and the predetermined minimum load current threshold, and obtain the item information corresponding to the workpiece to be ground and the grinding wheel information corresponding to the target grinding wheel. The item information and grinding wheel information are input into a preset algorithm model for calculation to obtain the calculation results. The calculation results at least include the feed rate-load current relationship corresponding to the target grinding wheel, thus improving the accuracy and reliability of the calculated feed rate-load current relationship corresponding to the target grinding wheel. When the analysis results indicate that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, the compensation feed amount corresponding to the target grinding wheel is determined based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel. Control parameters for controlling the target grinding wheel are generated based on the compensation feed amount. According to the control parameters, the target grinding wheel is moved in the feed direction by a distance corresponding to the compensation feed amount. This can provide a compensation feed amount when the grinding wheel is worn, effectively improving the accuracy and efficiency of the control of the target grinding wheel, thereby ensuring the grinding quality of the workpiece to be ground.

[0174] In another optional embodiment, as shown in FIG7, the generation module 302 determines the specific method of the compensation feed corresponding to the target grinding wheel based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel, including:

[0175] The compensation load current value corresponding to the target grinding wheel is determined based on the working load current value and the minimum load current threshold of the target grinding wheel.

[0176] Based on the compensation load current value, the feed amount-load current relationship of the target grinding wheel, and the initial thickness information of the target grinding wheel, the thickness loss value of the target grinding wheel is calculated, and the compensation feed amount of the target grinding wheel is determined based on the thickness loss value.

[0177] As can be seen, the intelligent control device based on the grinding wheel load described in Figure 7 can determine the compensation load current value corresponding to the target grinding wheel according to the working load current value and the minimum load current threshold. Based on the compensation load current value, the feed amount-load current relationship corresponding to the target grinding wheel, and the initial thickness information of the target grinding wheel, it calculates the thickness loss value corresponding to the target grinding wheel and determines the compensation feed amount corresponding to the target grinding wheel based on the thickness loss value. It can calculate the thickness loss value corresponding to the target grinding wheel through the compensation load current value, and then determine the compensation feed amount corresponding to the target grinding wheel, which improves the accuracy and reliability of the determined compensation feed amount corresponding to the target grinding wheel, thereby improving the accuracy of the control of the target grinding wheel.

[0178] In another optional embodiment, as shown in FIG7, the acquisition module 401 is further used to acquire the historical working load current record corresponding to the target grinding wheel;

[0179] The intelligent control device based on the load of the grinding wheel may also include:

[0180] The determination module 405 is used to determine the working load current range corresponding to the target grinding wheel based on the waveform diagram corresponding to the historical working load current record and the material information corresponding to the target grinding wheel, and to determine the minimum working load current value corresponding to the working load current range as the minimum load current threshold.

[0181] As can be seen, the intelligent control device based on the grinding wheel load described in Figure 7 can acquire the historical working load current record corresponding to the target grinding wheel. Based on the waveform diagram corresponding to the historical working load current record and the material information corresponding to the target grinding wheel, the working load current range corresponding to the target grinding wheel is determined, and the minimum working load current value corresponding to the working load current range is determined as the minimum load current threshold. This can improve the accuracy and reliability of the determined minimum load current threshold corresponding to the target grinding wheel, thereby improving the accuracy of subsequent judgment of the working load current value and improving the control precision of the target grinding wheel.

[0182] In another optional embodiment, as shown in FIG7, the calculation module 404 is further configured to calculate the historical grinding data corresponding to the target grinding wheel based on the historical working load current record corresponding to the target grinding wheel and the determined thickness loss value corresponding to the target grinding wheel. The historical grinding data includes the historical grinding amount and / or historical grinding duration corresponding to the target grinding wheel.

[0183] The determination module 405 is also used to determine the theoretical grinding amount corresponding to the target grinding wheel based on the material information corresponding to the target grinding wheel and the hardness information corresponding to the workpiece to be ground.

[0184] The intelligent control device based on the load of the grinding wheel may also include:

[0185] The prediction module 406 is used to predict the remaining theoretical grinding data of the target grinding wheel based on historical grinding data and theoretical grinding amount.

[0186] Among them, the remaining theoretical grinding data includes the remaining grinding amount of the target grinding wheel and / or the remaining grinding time of the target grinding wheel.

[0187] As can be seen, the intelligent control device based on the grinding wheel load described in Figure 7 can calculate the historical grinding data of the target grinding wheel according to the historical working load current record of the target grinding wheel and the determined thickness loss value of the target grinding wheel. Based on the material information of the target grinding wheel and the hardness information of the workpiece to be ground, it can determine the theoretical grinding amount of the target grinding wheel. Based on the historical grinding data and the theoretical grinding amount, it can predict the remaining theoretical grinding data of the target grinding wheel and predict the remaining usage data of the target grinding wheel. That is, it can intelligently predict the scrap time of the target grinding wheel, which effectively improves the accuracy and efficiency of determining the remaining theoretical grinding data of the target grinding wheel.

[0188] In another optional embodiment, as shown in FIG7, the intelligent control device based on the grinding wheel load can be applied to a grinding system, the system including multiple sets of grinding wheels, and the intelligent control device based on the grinding wheel load may further include:

[0189] The detection module 407 is used to detect the size of the work to be ground when the current grinding wheel set is grinding the work to be ground, and to compare the size of the work to be ground with the maximum grindable size of the next grinding wheel set corresponding to the current grinding wheel set.

[0190] The speed reduction module 408 is used to reduce the conveyor speed of the workpiece in the current grinding wheel group when the size of the workpiece to be ground is greater than the maximum grindable size of the next grinding wheel group.

[0191] The transmission module 409 is used to transfer the item to be ground from the current grinding wheel group to the next grinding wheel group when the size of the item to be ground is less than or equal to the maximum grindable size of the next grinding wheel group, so that the next grinding wheel group can grind the item to be ground.

[0192] As can be seen, the intelligent control device based on the load of the grinding wheel described in Figure 7 can detect the size of the workpiece to be ground when the current grinding wheel group is grinding it, and compare the size of the workpiece to be ground with the maximum grindable size of the next grinding wheel group. If the size is greater than the maximum grindable size of the next grinding wheel group, the grinding time of the current grinding wheel group is increased, thereby enabling the workpiece to reach the preset passing size of the next grinding wheel group, improving the grinding efficiency of the grinding wheel group and thus achieving higher production efficiency.

[0193] In another optional embodiment, as shown in FIG7, the determining module 405 is further configured to determine the ratio between the grinding length of the target grinding wheel and the thickness loss value of the target grinding wheel based on the determined thickness loss value corresponding to the target grinding wheel and historical grinding data.

[0194] The intelligent control device based on the load of the grinding wheel may also include:

[0195] The correction module 410 is used to correct the predicted remaining theoretical grinding data of the target grinding wheel based on the ratio of the grinding length of the target grinding wheel to the thickness loss value of the target grinding wheel, so as to update the remaining theoretical grinding data of the target grinding wheel.

[0196] Furthermore, the formula for the relationship between the feed rate and the load current corresponding to the target grinding wheel is:

[0197] I = k f Δl n ;

[0198] Where I is the load current value corresponding to the target grinding wheel, and k f Δl is the grinding ratio constant corresponding to the workpiece to be ground, and Δl is the feed rate corresponding to the target grinding wheel. <n<1。

[0199] As can be seen, the intelligent control device based on the grinding wheel load described in Figure 7 can correct the predicted remaining theoretical grinding data of the target grinding wheel according to the ratio of the grinding length of the target grinding wheel to the thickness loss value of the target grinding wheel, thereby improving the accuracy of the determined remaining theoretical grinding data of the target grinding wheel and thus improving the reliability of the predicted scrapping status of the target grinding wheel. Furthermore, the feed rate-load current relationship formula can improve the accuracy and reliability of the determined compensation feed rate.

[0200] Example 4

[0201] Please refer to Figure 8, which is a schematic diagram of the structure of an industrial controller disclosed in an embodiment of the present invention. As shown in Figure 8, the industrial controller may include:

[0202] Memory 501 storing executable program code;

[0203] Processor 502 coupled to memory 501;

[0204] The processor 502 calls the executable program code stored in the memory 501 to execute the steps in the intelligent control method based on the grinding wheel load described in Embodiment 1 or Embodiment 2 of the present invention.

[0205] Example 5

[0206] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked by an industrial controller, they are used to execute the steps in the intelligent control method based on the load of the grinding wheel described in Embodiment 1 or Embodiment 2 of this invention.

[0207] Example 6

[0208] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause an industrial controller to perform the steps in the intelligent control method based on the grinding wheel load described in Embodiment 1 or Embodiment 2.

[0209] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0210] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0211] Finally, it should be noted that the intelligent control method and device based on the load of the grinding wheel disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart control method based on the load of the grinding wheel, characterized in that, The method includes: acquiring the working load current value corresponding to the target grinding wheel, and analyzing the relationship between the working load current value corresponding to the target grinding wheel and a predetermined minimum load current threshold to obtain an analysis result; when the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, generating control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel, the control parameters including the compensation feed amount corresponding to the target grinding wheel; controlling the target grinding wheel to move in the feed direction by a distance corresponding to the compensation feed amount based on the control parameters; and the method further includes: acquiring item information corresponding to the item to be ground and grinding wheel information corresponding to the target grinding wheel; inputting the item information and grinding wheel information into a preset algorithm model for calculation to obtain a calculation result, wherein the calculation result includes at least the feed amount-load current relationship corresponding to the target grinding wheel; wherein, the step of... The process of generating control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel includes: determining the compensation feed amount corresponding to the target grinding wheel based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel, and generating control parameters for controlling the target grinding wheel based on the compensation feed amount; and determining the compensation feed amount corresponding to the target grinding wheel based on the working load current value corresponding to the target grinding wheel and the feed amount-load current relationship corresponding to the target grinding wheel includes: determining the compensation load current value corresponding to the target grinding wheel based on the working load current value corresponding to the target grinding wheel and the minimum load current threshold; calculating the thickness loss value corresponding to the target grinding wheel based on the compensation load current value, the feed amount-load current relationship corresponding to the target grinding wheel and the initial thickness information corresponding to the target grinding wheel, and determining the compensation feed amount corresponding to the target grinding wheel based on the thickness loss value.

2. The intelligent control method based on the load of the grinding wheel according to claim 1, characterized in that, The item information includes the hardness information and / or thickness information of the item to be ground, and the grinding wheel information includes the material information and / or initial thickness information of the target grinding wheel.

3. The intelligent control method based on the load of the grinding wheel according to claim 1, characterized in that, The method further includes: obtaining historical working load current records corresponding to the target grinding wheel; determining the working load current range corresponding to the target grinding wheel based on the waveform diagram corresponding to the historical working load current records and the material information corresponding to the target grinding wheel; and determining the minimum working load current value corresponding to the working load current range as the minimum load current threshold.

4. The intelligent control method based on the load of the grinding wheel according to claim 3, characterized in that, The method further includes: calculating historical grinding data corresponding to the target grinding wheel based on the historical working load current record corresponding to the target grinding wheel and the determined thickness loss value corresponding to the target grinding wheel, wherein the historical grinding data includes the historical grinding amount and / or historical grinding time corresponding to the target grinding wheel; determining the theoretical grinding amount corresponding to the target grinding wheel based on the material information corresponding to the target grinding wheel and the hardness information corresponding to the item to be ground; predicting the remaining theoretical grinding data of the target grinding wheel based on the historical grinding data and the theoretical grinding amount; wherein the remaining theoretical grinding data includes the remaining grinding amount of the target grinding wheel and / or the remaining grinding time of the target grinding wheel.

5. The intelligent control method based on the load of the grinding wheel according to any one of claims 1-4, characterized in that, The method is applied to an edge grinding system, which includes multiple sets of edge grinding wheels. The method further includes: when the current edge grinding wheel set is grinding the workpiece to be ground, detecting the size of the workpiece to be ground and comparing the size of the workpiece to be ground with the maximum grindable size of the next set of edge grinding wheels corresponding to the current set; when the size of the workpiece to be ground is greater than the maximum grindable size of the next set of edge grinding wheels, reducing the conveyor speed of the workpiece to be ground in the current set of edge grinding wheels; when the size of the workpiece to be ground is less than or equal to the maximum grindable size of the next set of edge grinding wheels, transferring the workpiece to be ground from the current set of edge grinding wheels to the next set of edge grinding wheels so that the next set of edge grinding wheels can grind the workpiece to be ground.

6. The intelligent control method based on the load of the grinding wheel according to claim 4, characterized in that, The method further includes: determining the ratio of the grinding length of the target grinding wheel to the thickness loss value of the target grinding wheel based on the determined thickness loss value of the target grinding wheel and the historical grinding data; correcting the predicted remaining theoretical grinding data of the target grinding wheel based on the ratio of the grinding length of the target grinding wheel to the thickness loss value of the target grinding wheel, so as to update the remaining theoretical grinding data of the target grinding wheel; and the feed rate-load current relationship formula corresponding to the target grinding wheel is: Where I is the load current value corresponding to the target grinding wheel. This is the grinding ratio constant corresponding to the workpiece to be ground. This refers to the feed rate corresponding to the target grinding wheel. 。 7. An intelligent control device based on the load of the grinding wheel, characterized in that, The device includes: an acquisition module, configured to acquire the working load current value corresponding to the target grinding wheel, and analyze the relationship between the working load current value corresponding to the target grinding wheel and a predetermined minimum load current threshold to obtain an analysis result; a generation module, configured to generate control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel when the analysis result indicates that the working load current value corresponding to the target grinding wheel is less than the minimum load current threshold, the control parameters including a compensation feed amount corresponding to the target grinding wheel; a control module, configured to control the target grinding wheel to move in the feed direction by a distance value corresponding to the compensation feed amount based on the control parameters; and the acquisition module is further configured to acquire item information corresponding to the item to be ground and grinding wheel information corresponding to the target grinding wheel; the device also includes: a calculation module, configured to input the item information and the grinding wheel information into a preset algorithm model for calculation to obtain a calculation result, wherein the calculation result includes at least the feed amount-load current relationship corresponding to the target grinding wheel; wherein The generation module generates control parameters for controlling the target grinding wheel based on the working load current value corresponding to the target grinding wheel. Specifically, this includes: determining the compensation feed amount corresponding to the target grinding wheel based on the working load current value and the feed-load current relationship corresponding to the target grinding wheel, and generating control parameters for controlling the target grinding wheel based on the compensation feed amount; and the generation module determines the compensation feed amount corresponding to the target grinding wheel based on the working load current value and the feed-load current relationship corresponding to the target grinding wheel. Specifically, this includes: determining the compensation load current value corresponding to the target grinding wheel based on the working load current value and the minimum load current threshold; calculating the thickness loss value corresponding to the target grinding wheel based on the compensation load current value, the feed-load current relationship corresponding to the target grinding wheel, and the initial thickness information corresponding to the target grinding wheel, and determining the compensation feed amount corresponding to the target grinding wheel based on the thickness loss value.

8. An industrial controller, characterized in that, The industrial controller includes: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the intelligent control method based on the grinding wheel load as described in any one of claims 1-6.

9. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked by the industrial controller, are used to execute the intelligent control method based on the grinding wheel load as described in any one of claims 1-6.

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