High-precision industrial control method for steel size

Abstract

The invention discloses a high-precision industrial control method for the size of steel, and relates to the technical field of intelligent industrial control. Historical processing data are acquired and stored in a database; the steel part is detected in real time, and the real-time size of the steel part is obtained; comparing and analyzing the real-time original size and the real-time target size with historical processing data in a database, and calculating a comparison difference according to a difference value between the data; acquiring real-time processing environment data, performing comparative analysis on the real-time processing environment data and historical processing environment data, and acquiring a same weight value according to the quantity of the same processing environment data; according to the same weight value, processing technologies in the historical processing data are weighted, and a target processing technology is obtained; and a target machining process is switched for machining, and a proper machining method meeting the part precision is selected through targeted analysis based on historical machining.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent industrial control, and in particular relates to a high-precision industrial control method for steel dimensions. Background Art

[0002] The accuracy indicators of CNC machine tools mainly include processing accuracy, positioning accuracy and repeated positioning accuracy. Processing accuracy is the ultimate accuracy pursued by CNC machine tools, which is mainly affected by factors such as spatial geometric errors, thermal errors, load errors, and servo errors of machine tool parts and structures. The mutual coupling of machine tool geometric errors, thermal errors, and load errors affects the processing accuracy of machine tools.

[0003] For example, Chinese patent CN111338289A provides a method and device for analyzing machining accuracy of machine tools, a precision detector, and a machining method of machine tools. The method for analyzing machining accuracy of machine tools includes the following steps: obtaining multiple sets of machining deviations of historical workpiece surfaces located in multiple intersecting directions, wherein each set of the machining deviations includes machining deviations of multiple points in the corresponding direction; comparing multiple sets of the machining deviations, identifying one of the multiple sets of the machining deviations with a relatively concentrated degree of discreteness as a stable precision set; and outputting the detection direction corresponding to the stable precision set as the optimal machining direction. Multiple machining deviations in the stable precision set are relatively concentrated, indicating that the machining deviations of the workpiece in the detection direction corresponding to the stable precision set are not much different, and the surface fluctuation of the workpiece in this detection direction is relatively small. If the detection direction is used as the machining direction in the future, the machined workpiece surface is relatively smooth and the workpiece precision is relatively high. In this way, the machining precision is improved by analyzing the historical data.

[0004] Another example is Chinese patents CN213591435U, CN104551669A, etc., all of which provide a high-precision steel processing equipment; but in summary, even if high-precision processing equipment is used, the processing accuracy will decrease after long-term operation. Therefore, how to analyze the processing accuracy of the machine tool and find an industrial control method suitable for parts processing and meeting the accuracy requirements becomes a problem to be solved. Summary of the invention

[0005] The purpose of the present invention is to provide a high-precision industrial control method for steel size, which solves the existing problems by analyzing the historical processing data of the machine tool, performing phased processing on the parts and updating the industrial control method.

[0006] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0007] The present invention is a high-precision industrial control method for steel dimensions, comprising the following steps:

[0008] Step K001: Obtain historical processing data and store it in the database;

[0009] Step K002: Perform real-time detection on steel parts to obtain real-time sizes of steel parts, and mark the obtained real-time sizes of steel parts and final target sizes as real-time original sizes and real-time target sizes, respectively;

[0010] Step K003: Compare and analyze the real-time original size and the real-time target size with the historical processing data in the database, and calculate the difference according to the difference between the data;

[0011] Step K004: Acquire real-time processing environment data, and compare and analyze it with historical processing environment data, and obtain weighted values ​​according to the number of identical processing environment data;

[0012] Step K005: weighting the processing techniques in the historical processing data according to the weighted values ​​to obtain the target processing technique;

[0013] Step K006: Switch to the target processing technology for processing.

[0014] Furthermore, the historical processing data includes processing parameter data and processing result data, and the processing parameter data includes:

[0015] The processing technology during processing and the processing deviation value of the parts processed by the processing technology, and the processing environment data during processing. The processing environment data include the processing accuracy of the processing machinery, the ambient temperature during processing, the model of the processing equipment, the working life of the processing equipment, the size, shape, material properties and processing allowance of the parts. The processing allowance is the value required for processing the existing product to reach the target product to be processed.

[0016] Furthermore, in step K003, the method for comparing and analyzing the real-time original size and the real-time target size with the historical processing data in the database includes the following steps:

[0017] Get the difference between the real-time original size and the historical original size, and mark it as the original difference;

[0018] Get the difference between the real-time target size and the historical target size, and mark it as target difference;

[0019] The calculated comparison difference is 0.32*original difference+0.68*target difference; 0.32 and 0.68 are preset weights respectively.

[0020] Furthermore, the method for obtaining the original difference comprises the following steps:

[0021] Obtain all dimensional parameters corresponding to the real-time original dimensions of the steel parts, marked as Cj i, i = 1, 2, 3, ..., n, j = 1, 2, 3, ..., m, n, m are positive integers, Cmn represents the size corresponding to the dimensional parameter n measured at the mth time;

[0022] Obtain the historical dimension parameters corresponding to the steel parts from the historical processing data, marked as LCi;

[0023] Get the original difference YCj,

[0024] Furthermore, the method for obtaining the target difference comprises the following steps:

[0025] Obtain all dimensional parameters corresponding to the real-time target size of the steel part, marked as M i, i = 1, 2, 3, ..., n, n is a positive integer, Mn represents the size corresponding to the dimensional parameter n;

[0026] Obtain the historical target size parameters corresponding to the steel parts from the historical processing data, marked as LM i;

[0027] Get the target difference YM,

[0028] Furthermore, in step K004, the method for obtaining weighted values ​​according to the number of identical processing environment data includes the following steps:

[0029] Obtain real-time processing environment data;

[0030] Extract the model of the processing equipment, and obtain the processing environment data corresponding to all equipment with the same model as the processing equipment from the historical processing data, and mark them as historical processing environment data;

[0031] Compare each data in the real-time processing environment data with the corresponding data in the historical processing environment data (such as the processing accuracy of the processing machinery, the ambient temperature during processing, the model of the processing equipment, the service life of the processing equipment, the size, shape, material characteristics and processing allowance of the parts in the real-time processing environment data with the processing accuracy of the processing machinery, the ambient temperature during processing, the model of the processing equipment, the service life of the processing equipment, the size, shape, material characteristics and processing allowance of the parts in the historical processing environment data);

[0032] If there is an identical data, the weight will be automatically increased by 1;

[0033] If there is no identical data, the weight is 1.

[0034] Furthermore, in step K005, the method of weighting the processing technology in the historical processing data according to the weighted equality includes the following steps:

[0035] Selecting a historical processing technology that is the same as the real-time processing technology from the historical processing data;

[0036] Obtain the comparative difference and processing deviation value corresponding to the historical processing technology;

[0037] The selection value is calculated according to the formula:

[0038] Selection value = (0.44*comparison difference+0.56*processing deviation value) / weight value, 0.44 and 0.56 are preset weight values;

[0039] Get the selection value corresponding to each processing technology;

[0040] The machining process with the smallest selection value is marked as the target machining process.

[0041] Furthermore, in the K006, after switching to the target processing technology for processing, the following steps are also included:

[0042] According to the processing technology of steel parts, the processing technology is divided into three stages;

[0043] After each processing has progressed one third of the way, the target processing technology is acquired again according to step K001 to step K005.

[0044] The present invention has the following beneficial effects:

[0045] The present invention obtains historical processing data and stores it in a database; performs real-time detection on steel parts to obtain real-time sizes of the steel parts; compares and analyzes the real-time original size and the real-time target size with the historical processing data in the database, and calculates the difference according to the difference between the data; obtains real-time processing environment data, and compares and analyzes it with the historical processing environment data, and obtains weighted values ​​according to the number of identical processing environment data; weights the processing techniques in the historical processing data according to the weighted values ​​to obtain a target processing technique; switches to the target processing technique for processing, and selects a processing method that is suitable and meets the precision of the parts based on a targeted analysis of the historical processing.

[0046] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0048] Figure 1 It is a flow chart of the high-precision industrial control method of steel size of the present invention;

[0049] Figure 2 Flow chart showing the difference between the data of the present invention;

[0050] Figure 3 The present invention is a flow chart of obtaining weighted values ​​according to the quantity of identical processing environment data. DETAILED DESCRIPTION

[0051] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0052] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0053] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0054] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0055] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0056] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0057] See also Figure 1-3 As shown, the present invention is a high-precision industrial control method for steel size, comprising the following steps:

[0058] Step K001: Acquire historical processing data and store it in a database; as an embodiment provided by the present invention, preferably, the historical processing data includes processing parameter data and processing result data, and the processing parameter data includes:

[0059] The processing technology during processing and the processing deviation value of the parts processed by the processing technology, the processing environment data during processing, the processing environment data includes the processing accuracy of the processing machinery, the ambient temperature during processing, the model of the processing equipment, the working life of the processing equipment, the size, shape, material characteristics and processing allowance of the parts, the processing deviation value indicates the deviation after processing by this method, and the processing allowance is the value required for processing the existing product, i.e. the blank, from the target product to be processed;

[0060] Step K002: Perform real-time detection on steel parts to obtain real-time sizes of steel parts, and mark the obtained real-time sizes of steel parts and final target sizes as real-time original sizes and real-time target sizes, respectively;

[0061] Step K003: Compare and analyze the real-time original size and the real-time target size with the historical processing data in the database, and calculate the difference according to the difference between the data;

[0062] Step K004: Acquire real-time processing environment data, and compare and analyze it with historical processing environment data, and obtain weighted values ​​according to the number of identical processing environment data;

[0063] Step K005: weighting the processing techniques in the historical processing data according to the weighted values ​​to obtain the target processing technique;

[0064] Step K006: Switch to the target processing technology for processing.

[0065] As an embodiment provided by the present invention, preferably, in step K003, the method for comparing and analyzing the real-time original size and the real-time target size with the historical processing data in the database comprises the following steps:

[0066] Get the difference between the real-time original size and the historical original size, and mark it as the original difference;

[0067] Get the difference between the real-time target size and the historical target size, and mark it as target difference;

[0068] The calculated comparison difference is 0.32*original difference+0.68*target difference; 0.32 and 0.68 are preset weights respectively.

[0069] As an embodiment provided by the present invention, preferably, the method for obtaining the original difference comprises the following steps:

[0070] Obtain all dimensional parameters corresponding to the real-time original dimensions of the steel parts, marked as Cj i, i = 1, 2, 3, ..., n, j = 1, 2, 3, ..., m, n, m are positive integers, Cmn represents the size corresponding to the dimensional parameter n measured at the mth time;

[0071] Obtain the historical dimension parameters corresponding to the steel parts from the historical processing data, marked as LCi;

[0072] Get the original difference YCj,

[0073] As an embodiment provided by the present invention, preferably, the method for obtaining the target difference comprises the following steps:

[0074] Obtain all dimensional parameters corresponding to the real-time target size of the steel part, marked as M i, i = 1, 2, 3, ..., n, n is a positive integer, Mn represents the size corresponding to the dimensional parameter n;

[0075] Obtain the historical target size parameters corresponding to the steel parts from the historical processing data, marked as LM i;

[0076] Get the target difference YM,

[0077] As an embodiment provided by the present invention, preferably, in step K004, the method for obtaining weighted equivalent values ​​according to the number of identical processing environment data includes the following steps:

[0078] Obtain real-time processing environment data;

[0079] Extract the model of the processing equipment, and obtain the processing environment data corresponding to all equipment with the same model as the processing equipment from the historical processing data, and mark them as historical processing environment data;

[0080] Compare each data in the real-time processing environment data with the corresponding data in the historical processing environment data (such as the processing accuracy of the processing machinery, the ambient temperature during processing, the model of the processing equipment, the service life of the processing equipment, the size, shape, material characteristics and processing allowance of the parts in the real-time processing environment data with the processing accuracy of the processing machinery, the ambient temperature during processing, the model of the processing equipment, the service life of the processing equipment, the size, shape, material characteristics and processing allowance of the parts in the historical processing environment data);

[0081] If there is an identical data, the weight will be automatically increased by 1;

[0082] If there is no identical data, the weight is 1.

[0083] As an embodiment provided by the present invention, preferably, in step K005, the method for weighting the processing technology in the historical processing data according to the weight equality value includes the following steps:

[0084] Selecting a historical processing technology that is the same as the real-time processing technology from the historical processing data;

[0085] Obtain the comparative difference and processing deviation value corresponding to the historical processing technology;

[0086] The selection value is calculated according to the formula:

[0087] Selection value = (0.44*comparison difference+0.56*processing deviation value) / weight value, 0.44 and 0.56 are preset weight values;

[0088] Get the selection value corresponding to each processing technology;

[0089] The machining process with the smallest selection value is marked as the target machining process.

[0090] As an embodiment provided by the present invention, preferably, in the K006, after switching to the target processing technology for processing, the following steps are further included:

[0091] According to the processing technology of steel parts, the processing technology is divided into three stages;

[0092] After each processing has progressed one third of the way, the target processing technology is acquired again according to step K001 to step K005.

[0093] Of course, as another embodiment provided by the present invention, after every one-third of the processing progress, the size deviation after the processing is completed and the expected size deviation after the processing is completed is obtained and marked as deviation one;

[0094] Then, after obtaining the target processing technology according to steps K001 to K005, if it is not the target processing technology of the first one-third progress, the dimensional deviation generated at the stage of the second one-third processing progress will be automatically obtained and marked as deviation 2;

[0095] If the value of Deviation 2 minus Deviation 1 exceeds the set deviation threshold, the target processing technology of the first one-third progress will be automatically re-marked as the target processing technology of the last one-third progress, instead of re-obtaining the target processing technology through steps K001-K005. If it does not exceed the set deviation threshold, the target processing technology can be re-obtained through steps K001-K005 to determine the processing technology of the last stage.

[0096] A high-precision industrial control method for steel size, which obtains historical processing data and stores it in a database; performs real-time detection on steel parts to obtain real-time sizes of steel parts; compares and analyzes the real-time original size and the real-time target size with the historical processing data in the database, and calculates the difference according to the difference between the data; obtains real-time processing environment data, and compares and analyzes it with the historical processing environment data, and obtains weighted values ​​according to the number of identical processing environment data; weights the processing technology in the historical processing data according to the weighted values ​​to obtain a target processing technology; switches to the target processing technology for processing, and selects a processing method that is suitable and meets the precision of the parts based on the targeted analysis obtained from the historical processing.

[0097] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0098] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A high-precision industrial control method for steel size, characterized in that: The following steps are involved: Step K001: Obtain historical processing data and store it in the database; Step K002: Perform real-time detection on steel parts to obtain real-time sizes of steel parts, and mark the obtained real-time sizes of steel parts and final target sizes as real-time original sizes and real-time target sizes, respectively; Step K003: Compare and analyze the real-time original size and the real-time target size with the historical processing data in the database, and calculate the difference according to the difference between the data; Step K004: Acquire real-time processing environment data, and compare and analyze it with historical processing environment data, and obtain weighted values ​​according to the number of identical processing environment data; Step K005: weighting the processing techniques in the historical processing data according to the weighted values ​​to obtain the target processing technique; Step K006: Switch to the target processing technology for processing.

2. A high-precision industrial control method for steel size according to claim 1, characterized in that: The historical processing data includes processing parameter data and processing result data, and the processing parameter data includes: The processing technology during processing, the processing deviation value of the parts processed by the processing technology, and the processing environment data during processing; Processing environment data include the processing accuracy of the processing machinery, the ambient temperature during processing, the model of the processing equipment, the working life of the processing equipment, the size, shape, material characteristics and processing allowance of the parts; The processing allowance is the value of the existing product that needs to be processed to reach the target product that needs to be processed.

3. The high-precision industrial control method for steel size according to claim 1 is characterized in that: In step K003, the method for comparing and analyzing the real-time original size and the real-time target size with the historical processing data in the database includes the following steps: Get the difference between the real-time original size and the historical original size, and mark it as the original difference; Get the difference between the real-time target size and the historical target size, and mark it as target difference; The calculated comparison difference is 0.32*original difference+0.68*target difference; 0.32 and 0.68 are preset weights respectively.

4. A high-precision industrial control method for steel dimensions according to claim 3, characterized in that: The method for obtaining the original difference comprises the following steps: Obtain all dimensional parameters corresponding to the real-time original dimensions of the steel parts, marked as Cji, i = 1, 2, 3, ..., n, j = 1, 2, 3, ..., m, n, m are positive integers, Cmn represents the size corresponding to the dimensional parameter n measured at the mth time; Obtain the historical dimension parameters corresponding to the steel parts from the historical processing data, marked as LCi; Get the original difference YCj, 5. The high-precision industrial control method for steel size according to claim 3 is characterized in that: The method for obtaining the target difference comprises the following steps: Obtain all dimensional parameters corresponding to the real-time target size of the steel part, marked as Mi, i = 1, 2, 3, ..., n, n is a positive integer, Mn represents the size corresponding to the dimensional parameter n; Obtain the historical target size parameters corresponding to the steel parts from the historical processing data, marked as LMi; Get the target difference YM, 6. A high-precision industrial control method for steel dimensions according to claim 2, characterized in that: In step K004, the method for obtaining weighted values ​​according to the number of identical processing environment data includes the following steps: Obtain real-time processing environment data; Extract the model of the processing equipment, and obtain the processing environment data corresponding to all equipment with the same model as the processing equipment from the historical processing data, and mark them as historical processing environment data; Compare each data in the real-time processing environment data with the corresponding data in the historical processing environment data; If there is an identical data, the weight will be automatically increased by 1; If there is no identical data, the weight is 1.

7. A high-precision industrial control method for steel dimensions according to claim 6, characterized in that: In step K005, the method for weighting the processing technology in the historical processing data according to the weighted value includes the following steps: Selecting a historical processing technology that is the same as the real-time processing technology from the historical processing data; Obtain the comparative difference and processing deviation value corresponding to the historical processing technology; The selection value is calculated according to the formula: Selection value = (0.44*comparison difference+0.56*processing deviation value) / weight value, 0.44 and 0.56 are preset weight values; Get the selection value corresponding to each processing technology; The machining process with the smallest selection value is marked as the target machining process.

8. The high-precision industrial control method for steel dimensions according to claim 1, characterized in that: In the K006, after switching to the target processing technology for processing, the following steps are also included: According to the processing technology of steel parts, the processing technology is divided into three stages; After each one-third of the processing progress is completed, the target processing technology is obtained again according to steps K001 to K005.

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