Adjustable operation control system of vertical lathe

Abstract

The invention relates to the technical field of machining control of vertical lathes, in particular to an adjustable operation control system of a vertical lathe, which is used for solving the problems that a traditional control system of the vertical lathe is often insufficient in precision, low in automation degree and complex in operation, and consequently, in the machining process of the vertical lathe, the machining precision is low. The problems of unstable machining quality and higher failure rate of a machine tool due to the fact that abnormal part machining and abnormal state of the vertical lathe cannot be found in time are solved; the system comprises the following modules: a part detection module, a data processing module, an abnormity determination module, an abnormity warning module and a lathe detection module. The system can monitor abnormal part machining and abnormal state of the vertical lathe in real time, comprehensive, real-time and accurate monitoring of the part machining process and the running state of the vertical lathe is achieved, machining quality and normal running of a machine tool are guaranteed, production efficiency and product quality are improved, and stability and reliability of the machining process are improved.

Description

Technical Field

[0001] The invention relates to the technical field of machining control of a vertical lathe, and in particular to an adjustable operation control system of a vertical lathe. Background Art

[0002] As an important equipment in mechanical processing, vertical lathe is widely used in the processing of various complex parts. The working principle of vertical lathe is based on the principle of rotary cutting. The workpiece is clamped on the spindle, and the tool is driven to cut by the rotation of the spindle. The tool can move in the horizontal and vertical directions to achieve processing operations of different shapes. By adjusting the position of the tool, feed speed and cutting parameters, the workpiece can be accurately processed.

[0003] In the mechanical processing industry, the quality of parts processing and the operating status of machine tools directly affect production efficiency and product quality. However, the control system of traditional vertical lathes often has the disadvantages of insufficient precision, low degree of automation, and complex operation, which leads to the inability to timely detect abnormal parts processing and abnormal state of the vertical lathe during the processing of the vertical lathe, resulting in unstable processing quality and high machine tool failure rate, which easily leads to increased processing errors, material waste and low production efficiency. Therefore, it is of great significance to develop an adjustable operation control system for vertical lathes. Summary of the invention

[0004] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide an adjustable operation control system for a vertical lathe, which solves the shortcomings of the control system of traditional vertical lathes, such as insufficient precision, low degree of automation and complex operation, resulting in the inability to timely detect abnormal parts processing and abnormal state of the vertical lathe during the processing of the vertical lathe, leading to unstable processing quality and high machine failure rate.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] An adjustable operation control system for a vertical lathe, comprising:

[0007] A lathe detection module, used for obtaining lathe abnormality detection parameters of the vertical lathe, and sending the lathe abnormality detection parameters to the data processing module; wherein the lathe abnormality detection parameters include vibration information ZD, trajectory information GJ and processing information JG;

[0008] A data processing module, used for obtaining a lathe detection coefficient CJ according to the lathe abnormality detection parameter, and sending the lathe detection coefficient CJ to the abnormality determination module;

[0009] The specific process of the data processing module obtaining the lathe detection coefficient CJ is as follows:

[0010] The vibration information ZD, the trajectory information GJ and the processing information JG are normalized, and the values ​​of the vibration information ZD, the trajectory information GJ and the processing information JG are quantified according to a preset lathe detection model to obtain a lathe detection coefficient CJ;

[0011] Among them, the lathe detection model is as follows:

[0012]

[0013] Where:

[0014] κ is the preset error adjustment factor, taking κ = 1.125;

[0015] Both e and π are mathematical constants;

[0016] β1, β2 and β3 are preset weight factors corresponding to the set vibration information ZD, trajectory information GJ and processing information JG respectively. β1, β2 and β3 satisfy β1>β2>β3>1.502, and β1=3.20, β2=2.43, β3=1.92;

[0017] Send the lathe detection coefficient CJ to the abnormality judgment module;

[0018] An abnormality determination module is used to generate a lathe abnormality instruction according to the lathe detection coefficient CJ, and send the lathe abnormality instruction to the abnormality warning module;

[0019] The abnormal warning module is used to sound the lathe warning bell after receiving the lathe abnormal command.

[0020] As a further solution of the present invention: the specific process of the lathe detection module obtaining the lathe abnormality detection parameters is as follows:

[0021] After receiving the lathe detection command, the vibration frequency and maximum vibration amplitude of the vertical lathe per unit time are obtained, and they are marked as the vibration frequency value ZC and the amplitude value ZF respectively. The vibration frequency value ZC and the amplitude value ZF are quantified, and the values ​​of the vibration frequency value ZC and the amplitude value ZF are extracted and substituted into the formula for calculation. According to the formula Obtain vibration information ZD; wherein z1 and z2 are preset proportional coefficients corresponding to the set vibration frequency value ZC and amplitude value ZF, respectively, z1 and z2 satisfy z1+z2=1, 0<z1<z2<1, and z1=0.35, z2=0.65;

[0022] Get the preset running track and the actual running track when the vertical lathe is processed according to the processing drawing, get the length of the preset running track and the length of the actual running track, get the difference between the two, and mark it as the rail length value GC, get the area of ​​the preset running track and the area of ​​the actual running track, get the difference between the two, and mark it as the rail surface value GM, quantify the rail length value GC and the rail surface value GM, extract the values ​​of the rail length value GC and the rail surface value GM, and substitute them into the formula for calculation. According to the formula Obtain track information GJ; wherein g1 and g2 are preset proportional coefficients corresponding to the set track length value GC and track surface value GM, respectively, g1 and g2 satisfy g1+g2=1, 0<g1<g2<1, and g1=0.29 and g2=0.71;

[0023] Obtain the total number of machining times and the total machining time of the machining tool of the vertical lathe, and mark them as the added times value JC and the added time value JS respectively, use the values ​​of the added times value JC and the added time value JS as the diagonal lengths of the rhombus to draw a rhombus figure, obtain the area of ​​the rhombus figure, and mark it as machining information JG;

[0024] The vibration information ZD, trajectory information GJ and processing information JG are sent to the data processing module.

[0025] As a further solution of the present invention: the specific process of the abnormality determination module generating the lathe abnormality instruction is as follows:

[0026] The lathe detection coefficient CJ is compared with the preset lathe detection threshold CJy, and the comparison results are as follows:

[0027] If the lathe detection coefficient CJ≥lathe detection threshold CJy, a lathe abnormal instruction is generated and sent to the abnormal warning module.

[0028] As a further solution of the present invention: the adjustable operation control system of the vertical lathe further includes:

[0029] The part detection module is used to obtain and analyze the part anomaly detection parameters of the part o, and send the part anomaly detection parameters to the data processing module; wherein the part anomaly detection parameters include surface information BM, change information BH and unrepeated information WC.

[0030] As a further solution of the present invention: the specific process of the part detection module obtaining the part abnormality detection parameters is as follows:

[0031] The parts processed by the vertical lathe are marked as analysis parts o, where o=1, ..., v, where v is a positive integer, o is the number of any analysis part, and v is the total number of analysis parts;

[0032] Obtain the surface roughness of each part of the processing area after the processing of the analyzed part o is completed, and mark it as the roughness value CC, obtain the average value of all roughness values ​​CC, and mark it as the mean surface value JM, obtain the difference between the maximum roughness value CC and the minimum roughness value CC, and mark it as the difference surface value CM, quantify the mean surface value JM and the difference surface value CM, extract the values ​​of the mean surface value JM and the difference surface value CM, and substitute them into the formula for calculation. According to the formula Obtain surface information BM; wherein b1 and b2 are preset proportional coefficients corresponding to the set mean surface value JM and the difference surface value CM, respectively, b1 and b2 satisfy b1+b2=1, 0<b2<b1<1, and b1=0.73 and b2=0.27;

[0033] Get the area of ​​the analyzed part o before and after processing, get the difference between the two, and mark it as the area value MJ; get the volume of the analyzed part o before and after processing, get the difference between the two, and mark it as the volume value TJ; quantify the area value MJ and the volume value TJ, extract the values ​​of the area value MJ and the volume value TJ, and substitute them into the formula for calculation; according to the formula Get the face value MT, obtain the difference between the face value MT and the preset standard face value, and mark it as change information BH; where m1 and m2 are preset proportional coefficients corresponding to the set area value MJ and volume value TJ, respectively, and m1 and m2 satisfy m1+m2=1, 0<m1<m2<1, and take m1=0.45, m2=0.55;

[0034] Obtain the contour of the processing area of ​​the analyzed part o and mark it as the actual contour, obtain the contour of the processing area in the processing drawing corresponding to the analyzed part o and mark it as the drawing contour, obtain the non-overlapping area between the actual contour and the drawing contour, and record the non-overlapping information WC;

[0035] The surface information BM, change information BH and unduplication information WC are sent to the data processing module.

[0036] As a further solution of the present invention: the data processing module is also used to obtain a part detection coefficient LJo according to the part abnormality detection parameter, and send the part detection coefficient LJo to the abnormality determination module.

[0037] As a further solution of the present invention: the specific process of the data processing module obtaining the part detection coefficient LJo is as follows:

[0038] The surface information BM, the change information BH and the non-repeating information WC are normalized, and the values ​​of the surface information BM, the change information BH and the non-repeating information WC are quantified according to a preset part detection model to obtain a part detection coefficient LJo;

[0039] Among them, the part detection model is as follows:

[0040]

[0041] Where:

[0042] τ is the preset error adjustment factor, and τ=0.931 is taken;

[0043] Both e and π are mathematical constants;

[0044] α1, α2 and α3 are preset weight factors corresponding to the set surface information BM, change information BH and unrepeated information WC respectively, α1, α2 and α3 satisfy α1>α2>α3>1.825, and α1=3.02, α2=2.57, α3=2.13;

[0045] The part detection coefficient LJo is sent to the abnormality judgment module.

[0046] As a further solution of the present invention: the abnormality judgment module is also used to generate a part abnormality instruction according to the part detection coefficient LJo, and send the part abnormality instruction to the abnormal warning module, and at the same time control the vertical lathe to stop running, obtain the zero value LS after restarting, and generate a lathe detection instruction according to the zero value LS, and send the lathe detection instruction to the lathe detection module.

[0047] As a further solution of the present invention: the specific process of the abnormality determination module generating the part abnormality instruction and the lathe detection instruction is as follows:

[0048] Compare the part detection coefficient LJo with the preset part detection threshold LJy, and the comparison results are as follows:

[0049] If the part detection coefficient LJo ≥ the part detection threshold LJy, the analysis part o corresponding to the part detection coefficient LJo is marked as an abnormal part, and a part abnormal instruction is generated at the same time, and the part abnormal instruction is sent to the abnormal warning module;

[0050] Control the vertical lathe to stop running for a preset time, and after the vertical lathe is restarted, obtain the total number of abnormal parts per unit time and mark it as a zero value LS;

[0051] The zero value LS is compared with the preset zero value threshold LSy, and the comparison result is as follows:

[0052] If the zero value LS≥zero value threshold LSy, a lathe detection instruction is generated and sent to the lathe detection module.

[0053] As a further solution of the present invention: the abnormal warning module is also used to sound a part warning bell after receiving a part abnormality instruction.

[0054] Beneficial effects of the present invention:

[0055] The adjustable operation control system of a vertical lathe of the present invention first collects data on parts processed by the vertical lathe to obtain part abnormality detection parameters, then uses data analysis technology to obtain a part detection coefficient based on the part abnormality detection parameters to comprehensively measure the degree of abnormality in the processing of the parts, and the larger the part detection coefficient is, the higher the degree of abnormality in the processing is, then an abnormality warning is performed and data is collected on the vertical lathe to obtain lathe abnormality detection parameters, then uses data analysis technology to obtain a lathe detection coefficient based on the lathe abnormality detection parameters to comprehensively measure the degree of abnormality in the state of the vertical lathe, and the larger the lathe detection coefficient is, the higher the degree of abnormality in the state is, and finally an abnormality warning is performed;

[0056] The adjustable operation control system of a vertical lathe of the present invention can monitor abnormal parts processing and abnormal status of the vertical lathe in real time, realize comprehensive, real-time and accurate monitoring of the parts processing process and the operating status of the vertical lathe, ensure the processing quality and the normal operation of the machine tool, improve production efficiency and product quality, and improve the stability and reliability of the processing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] Figure 1 It is a principle block diagram of an adjustable operation control system of a vertical lathe in the present invention;

[0059] Figure 2 The present invention is a flowchart of a working method of an adjustable operation control system of a vertical lathe. DETAILED DESCRIPTION

[0060] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Embodiment 1:

[0062] See also Figure 1 As shown, this embodiment is an adjustable operation control system for a vertical lathe, comprising the following modules: a parts detection module, a data processing module, an abnormality determination module, an abnormality warning module and a lathe detection module;

[0063] The part detection module is used to obtain and analyze the part anomaly detection parameters of the part o, and send the part anomaly detection parameters to the data processing module; wherein the part anomaly detection parameters include surface information BM, change information BH and unrepeated information WC;

[0064] The data processing module is used to obtain a part detection coefficient LJo according to the part abnormality detection parameter, and send the part detection coefficient LJo to the abnormality determination module; it is also used to obtain a lathe detection coefficient CJ according to the lathe abnormality detection parameter, and send the lathe detection coefficient CJ to the abnormality determination module;

[0065] The abnormality determination module is used to generate a part abnormality instruction according to the part detection coefficient LJo, and send the part abnormality instruction to the abnormality warning module, and at the same time control the vertical lathe to stop running, obtain the zero value LS after restarting, and generate a lathe detection instruction according to the zero value LS, and send the lathe detection instruction to the lathe detection module; it is also used to generate a lathe abnormality instruction according to the lathe detection coefficient CJ, and send the lathe abnormality instruction to the abnormality warning module;

[0066] The abnormal warning module is used to sound a part warning bell after receiving a part abnormality instruction; and is also used to sound a lathe warning bell after receiving a lathe abnormality instruction;

[0067] Among them, the lathe detection module is used to obtain the lathe abnormality detection parameters of the vertical lathe after receiving the lathe detection instruction, and send the lathe abnormality detection parameters to the data processing module; wherein the lathe abnormality detection parameters include vibration information ZD, trajectory information GJ and processing information JG.

[0068] Embodiment 2:

[0069] See also Figure 2 As shown, this embodiment is a working method of an adjustable operation control system of a vertical lathe, comprising the following steps:

[0070] Step 1: The part detection module obtains and analyzes the part anomaly detection parameters of the part o, wherein the part anomaly detection parameters include surface information BM, change information BH and unrepeated information WC, and sends the part anomaly detection parameters to the data processing module;

[0071] Step 2: The data processing module obtains the part detection coefficient LJo according to the part abnormality detection parameter, and sends the part detection coefficient LJo to the abnormality determination module;

[0072] Step 3: The abnormality determination module generates a part abnormality instruction according to the part detection coefficient LJo, and sends the part abnormality instruction to the abnormality warning module, and at the same time controls the vertical lathe to stop running, obtains the zero value LS after restarting, and generates a lathe detection instruction according to the zero value LS, and sends the lathe detection instruction to the lathe detection module;

[0073] Step 4: After receiving the abnormal part instruction, the abnormal warning module sounds the part warning bell;

[0074] Step 5: After receiving the lathe detection instruction, the lathe detection module obtains the lathe abnormality detection parameters of the vertical lathe, wherein the lathe abnormality detection parameters include vibration information ZD, trajectory information GJ and processing information JG, and sends the lathe abnormality detection parameters to the data processing module;

[0075] Step 6: The data processing module obtains the lathe detection coefficient CJ according to the lathe abnormality detection parameter, and sends the lathe detection coefficient CJ to the abnormality determination module;

[0076] Step 7: The abnormality determination module generates a lathe abnormality instruction according to the lathe detection coefficient CJ, and sends the lathe abnormality instruction to the abnormality warning module;

[0077] Step 8: After the abnormal warning module receives the lathe abnormal command, the lathe warning bell sounds.

[0078] Embodiment 3:

[0079] Based on any of the above embodiments, Embodiment 3 of the present invention is a part detection module. The function of the part detection module is to obtain part anomaly detection parameters, wherein the part anomaly detection parameters include surface information BM, change information BH and unrepeated information WC. The specific process is as follows:

[0080] The parts detection module marks the parts processed by the vertical lathe as analysis parts o, where o=1, ..., v, v is a positive integer, o is the number of any analysis part, and v is the total number of analysis parts;

[0081] The part detection module obtains and analyzes the surface roughness of each part of the processing area after the processing of part o is completed, and marks it as the roughness value CC, obtains the average value of all roughness values ​​CC, and marks it as the mean surface value JM, obtains the difference between the maximum roughness value CC and the minimum roughness value CC, and marks it as the difference surface value CM, quantifies the mean surface value JM and the difference surface value CM, extracts the values ​​of the mean surface value JM and the difference surface value CM, and substitutes them into the formula for calculation. According to the formula Obtain surface information BM; wherein b1 and b2 are preset proportional coefficients corresponding to the set mean surface value JM and the difference surface value CM, respectively, b1 and b2 satisfy b1+b2=1, 0<b2<b1<1, and b1=0.73 and b2=0.27;

[0082] The parts detection module obtains the area of ​​the part o before and after processing, obtains the difference between the two, and marks it as the area value MJ, obtains the volume of the part o before and after processing, obtains the difference between the two, and marks it as the volume value TJ, quantifies the area value MJ and the volume value TJ, extracts the values ​​of the area value MJ and the volume value TJ, and substitutes them into the formula for calculation. Get the face value MT, obtain the difference between the face value MT and the preset standard face value, and mark it as change information BH; where m1 and m2 are preset proportional coefficients corresponding to the set area value MJ and volume value TJ, respectively, and m1 and m2 satisfy m1+m2=1, 0<m1<m2<1, and take m1=0.45, m2=0.55;

[0083] The part detection module obtains the contour of the processing area of ​​the analyzed part o and marks it as the actual contour, obtains the contour of the processing area in the processing drawing corresponding to the analyzed part o and marks it as the drawing contour, obtains the non-overlapping area between the actual contour and the drawing contour, and records the non-overlapping information WC;

[0084] The part detection module sends the surface information BM, change information BH and un-duplication information WC to the data processing module.

[0085] Embodiment 4:

[0086] Based on any of the above embodiments, Embodiment 4 of the present invention is a data processing module, and the data processing module has two functions:

[0087] One of the functions is to obtain the part detection coefficient LJo. The specific process is as follows:

[0088] The data processing module normalizes the surface information BM, the change information BH and the non-repetition information WC, and quantifies the values ​​of the surface information BM, the change information BH and the non-repetition information WC according to the preset part detection model to obtain the part detection coefficient LJo;

[0089] Among them, the part detection model is as follows:

[0090]

[0091] Where:

[0092] τ is the preset error adjustment factor, and τ=0.931 is taken;

[0093] Both e and π are mathematical constants;

[0094] α1, α2 and α3 are preset weight factors corresponding to the set surface information BM, change information BH and unrepeated information WC respectively, α1, α2 and α3 satisfy α1>α2>α3>1.825, and α1=3.02, α2=2.57, α3=2.13;

[0095] The data processing module sends the part detection coefficient LJo to the abnormality determination module;

[0096] The second function is to obtain the lathe detection coefficient CJ. The specific process is as follows:

[0097] The data processing module normalizes the vibration information ZD, the trajectory information GJ and the processing information JG, and quantifies the values ​​of the vibration information ZD, the trajectory information GJ and the processing information JG according to the preset lathe detection model to obtain the lathe detection coefficient CJ;

[0098] Among them, the lathe detection model is as follows:

[0099]

[0100] Where:

[0101] κ is the preset error adjustment factor, taking κ = 1.125;

[0102] Both e and π are mathematical constants;

[0103] β1, β2 and β3 are preset weight factors corresponding to the set vibration information ZD, trajectory information GJ and processing information JG respectively. β1, β2 and β3 satisfy β1>β2>β3>1.502, and β1=3.20, β2=2.43, β3=1.92;

[0104] The data processing module sends the lathe detection coefficient CJ to the abnormality judgment module.

[0105] Embodiment 5:

[0106] Based on any of the above embodiments, Embodiment 5 of the present invention is an abnormality determination module, and the abnormality determination module has two functions:

[0107] One of them is to generate part abnormality instructions and lathe detection instructions. The specific process is as follows:

[0108] The abnormality determination module compares the part detection coefficient LJo with the preset part detection threshold LJy. The comparison results are as follows:

[0109] If the part detection coefficient LJo ≥ the part detection threshold LJy, the analysis part o corresponding to the part detection coefficient LJo is marked as an abnormal part, and a part abnormal instruction is generated at the same time, and the part abnormal instruction is sent to the abnormal warning module;

[0110] The abnormality determination module controls the vertical lathe to stop running for a preset time, and after the vertical lathe is restarted, obtains the total number of abnormal parts in a unit time and marks it as a zero value LS;

[0111] The abnormality determination module compares the zero value LS with the preset zero value threshold LSy, and the comparison result is as follows:

[0112] If the zero value LS ≥ the zero value threshold LSy, a lathe detection instruction is generated and sent to the lathe detection module;

[0113] The second function is to generate lathe abnormal instructions. The specific process is as follows:

[0114] The abnormality determination module compares the lathe detection coefficient CJ with the preset lathe detection threshold CJy. The comparison results are as follows:

[0115] If the lathe detection coefficient CJ≥lathe detection threshold CJy, a lathe abnormal instruction is generated and sent to the abnormal warning module.

[0116] Embodiment 6:

[0117] Based on any of the above embodiments, Embodiment 6 of the present invention is an abnormal warning module, and the abnormal warning module has two functions:

[0118] One function is to sound a part warning bell after receiving a part abnormality command;

[0119] The second function is to sound the lathe warning bell after receiving the lathe abnormal command.

[0120] Embodiment 7:

[0121] Based on any of the above embodiments, Embodiment 7 of the present invention is a lathe detection module. The function of the lathe detection module is to obtain lathe abnormality detection parameters, wherein the lathe abnormality detection parameters include vibration information ZD, trajectory information GJ and processing information JG. The specific process is as follows:

[0122] After receiving the lathe detection instruction, the lathe detection module obtains the vibration frequency and maximum vibration amplitude of the vertical lathe per unit time, and marks them as the vibration frequency value ZC and the amplitude value ZF respectively, quantifies the vibration frequency value ZC and the amplitude value ZF, extracts the values ​​of the vibration frequency value ZC and the amplitude value ZF, and substitutes them into the formula for calculation. Obtain vibration information ZD; wherein z1 and z2 are preset proportional coefficients corresponding to the set vibration frequency value ZC and amplitude value ZF, respectively, z1 and z2 satisfy z1+z2=1, 0<z1<z2<1, and z1=0.35, z2=0.65;

[0123] The lathe detection module obtains the preset running track and the actual running track when the vertical lathe is processed according to the processing drawing, obtains the length of the preset running track and the length of the actual running track, obtains the difference between the two, and marks it as the rail length value GC, obtains the area of ​​the preset running track and the area of ​​the actual running track, obtains the difference between the two, and marks it as the rail surface value GM, quantifies the rail length value GC and the rail surface value GM, extracts the values ​​of the rail length value GC and the rail surface value GM, and substitutes them into the formula for calculation. According to the formula Obtain track information GJ; wherein g1 and g2 are preset proportional coefficients corresponding to the set track length value GC and track surface value GM, respectively, g1 and g2 satisfy g1+g2=1, 0<g1<g2<1, and g1=0.29 and g2=0.71;

[0124] The lathe detection module obtains the total number of machining times and the total machining time of the machining tool of the vertical lathe, and marks them as the added number value JC and the added time value JS respectively, and uses the values ​​of the added number value JC and the added time value JS as the diagonal length of the rhombus to draw a rhombus figure, obtains the area of ​​the rhombus figure, and marks it as the machining information JG;

[0125] The lathe detection module sends the vibration information ZD, trajectory information GJ and processing information JG to the data processing module.

[0126] Based on the above embodiments 1-7, the working principle of the present invention is as follows:

[0127] An adjustable operation control system of a vertical lathe of the present invention obtains part abnormality detection parameters of analyzed parts through a part detection module, wherein the part abnormality detection parameters include surface information, change information and unrepeated information, obtains part detection coefficients according to the part abnormality detection parameters through a data processing module, generates part abnormality instructions according to the part detection coefficients through an abnormality determination module, and controls the vertical lathe to stop running at the same time, obtains a zero value after restarting, and generates a lathe detection instruction according to the zero value, sounds a part warning bell after receiving the part abnormality instruction through an abnormality warning module, obtains lathe abnormality detection parameters of the vertical lathe after receiving the lathe detection instruction through a lathe detection module, wherein the lathe abnormality detection parameters include vibration information, trajectory information and processing information, obtains a lathe detection coefficient according to the lathe abnormality detection parameters through a data processing module, generates a lathe abnormality instruction according to the lathe detection coefficient through an abnormality determination module, and receives a lathe through an abnormality warning module. After the lathe abnormal instruction is given, the lathe alarm bell sounds; the system first collects data on the parts processed by the vertical lathe to obtain the parts abnormality detection parameters, and then uses data analysis technology to obtain the parts detection coefficient based on the parts abnormality detection parameters to comprehensively measure the degree of parts processing abnormality, and the larger the part detection coefficient, the higher the degree of processing abnormality, and then an abnormal warning is issued and data is collected on the vertical lathe to obtain the lathe abnormality detection parameters, and then the lathe detection coefficient obtained based on the lathe abnormality detection parameters using data analysis technology can comprehensively measure the degree of abnormality of the state of the vertical lathe, and the larger the lathe detection coefficient, the higher the degree of state abnormality, and finally an abnormal warning is issued; the system can monitor the parts processing abnormality and the state abnormality of the vertical lathe in real time, and realizes comprehensive, real-time and accurate monitoring of the parts processing process and the operating status of the vertical lathe, ensuring the processing quality and the normal operation of the machine tool, improving production efficiency and product quality, and improving the stability and reliability of the processing process.

[0128] It should be further explained that the above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technical personnel in this field according to actual conditions.

[0129] 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.

[0130] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. An adjustable operation control system for a vertical lathe, characterized in that: include: A lathe detection module, used for obtaining lathe abnormality detection parameters of the vertical lathe, and sending the lathe abnormality detection parameters to the data processing module; wherein the lathe abnormality detection parameters include vibration information ZD, trajectory information GJ and processing information JG; A data processing module, used for obtaining a lathe detection coefficient CJ according to a lathe abnormality detection parameter, and sending the lathe detection coefficient CJ to an abnormality determination module; The specific process of the data processing module obtaining the lathe detection coefficient CJ is as follows: The values ​​of vibration information ZD, trajectory information GJ and processing information JG are quantified according to a preset lathe detection model to obtain a lathe detection coefficient CJ; Among them, the lathe detection model is as follows: Where: κ is the preset error adjustment factor; Both e and π are mathematical constants; β1, β2 and β3 are preset weight factors corresponding to the set vibration information ZD, trajectory information GJ and processing information JG respectively; Send the lathe detection coefficient CJ to the abnormality judgment module; An abnormality determination module is used to generate a lathe abnormality instruction according to the lathe detection coefficient CJ, and send the lathe abnormality instruction to the abnormality warning module; The abnormal warning module is used to sound the lathe warning bell after receiving the lathe abnormal command.

2. The adjustable operation control system of a vertical lathe according to claim 1, characterized in that: The specific process of the lathe detection module obtaining lathe abnormality detection parameters is as follows: After receiving the lathe detection command, the vibration frequency and maximum vibration amplitude of the vertical lathe per unit time are obtained, and they are marked as the vibration frequency value ZC and the amplitude value ZF respectively. The vibration frequency value ZC and the amplitude value ZF are quantified according to the formula Obtain vibration information ZD; wherein z1 and z2 are preset proportional coefficients corresponding to the set vibration frequency value ZC and amplitude value ZF respectively; Get the preset running track and the actual running track when the vertical lathe is processed according to the processing drawing, get the length of the preset running track and the length of the actual running track, get the difference between the two, and mark it as the rail length value GC, get the area of ​​the preset running track and the area of ​​the actual running track, get the difference between the two, and mark it as the rail surface value GM, quantify the rail length value GC and the rail surface value GM, and use the formula The track information GJ is obtained; wherein g1 and g2 are preset proportional coefficients corresponding to the set track length value GC and track surface value GM respectively; Obtain the total number of machining times and the total machining time of the machining tool of the vertical lathe, and mark them as the added times value JC and the added time value JS respectively, use the values ​​of the added times value JC and the added time value JS as the diagonal lengths of the rhombus to draw a rhombus figure, obtain the area of ​​the rhombus figure, and mark it as machining information JG; The vibration information ZD, trajectory information GJ and processing information JG are sent to the data processing module.

3. The adjustable operation control system of a vertical lathe according to claim 1, characterized in that: The specific process of the abnormal determination module generating the lathe abnormal instruction is as follows: The lathe detection coefficient CJ is compared with the preset lathe detection threshold CJy, and the comparison results are as follows: If the lathe detection coefficient CJ≥lathe detection threshold CJy, a lathe abnormal instruction is generated and sent to the abnormal warning module.

4. The adjustable operation control system of a vertical lathe according to claim 1, characterized in that: Also includes: The part detection module is used to obtain and analyze the part anomaly detection parameters of the part o, and send the part anomaly detection parameters to the data processing module; wherein the part anomaly detection parameters include surface information BM, change information BH and unrepeated information WC.

5. The adjustable operation control system of a vertical lathe according to claim 4, characterized in that: The specific process of the part detection module obtaining the part anomaly detection parameters is as follows: The parts processed by the vertical lathe are marked as analysis parts o, where o=1, ..., v, where v is a positive integer, o is the number of any analysis part, and v is the total number of analysis parts; Obtain the surface roughness of each part of the processing area after the processing of the analyzed part o is completed, and mark it as the roughness value CC, obtain the average value of all roughness values ​​CC, and mark it as the mean surface value JM, obtain the difference between the maximum roughness value CC and the minimum roughness value CC, and mark it as the difference surface value CM, quantify the mean surface value JM and the difference surface value CM, according to the formula Obtain surface information BM; wherein b1 and b2 are preset proportional coefficients corresponding to the set mean surface value JM and difference surface value CM respectively; Get the area of ​​the analyzed part o before and after processing, get the difference between the two, and mark it as the area value MJ; get the volume of the analyzed part o before and after processing, get the difference between the two, and mark it as the volume value TJ; quantify the area value MJ and the volume value TJ according to the formula Get the face value MT, obtain the difference between the face value MT and the preset standard face value, and mark it as change information BH; where m1 and m2 are preset proportional coefficients corresponding to the set area value MJ and volume value TJ respectively; Obtain the contour of the processing area of ​​the analyzed part o and mark it as the actual contour, obtain the contour of the processing area in the processing drawing corresponding to the analyzed part o and mark it as the drawing contour, obtain the non-overlapping area between the actual contour and the drawing contour, and record the non-overlapping information WC; The surface information BM, change information BH and unduplication information WC are sent to the data processing module.

6. The adjustable operation control system of a vertical lathe according to claim 5, characterized in that: The data processing module is also used to obtain a part detection coefficient LJo according to the part abnormality detection parameter, and send the part detection coefficient LJo to the abnormality determination module.

7. The adjustable operation control system of a vertical lathe according to claim 6, characterized in that: The specific process of the data processing module obtaining the part detection coefficient LJo is as follows: The values ​​of the surface information BM, the change information BH and the unrepeated information WC are quantified according to the preset part detection model to obtain the part detection coefficient LJo; Among them, the part detection model is as follows: Where: τ is the preset error adjustment factor; Both e and π are mathematical constants; α1, α2 and α3 are preset weight factors corresponding to the set surface information BM, change information BH and unrepeated information WC respectively; The part detection coefficient LJo is sent to the abnormality judgment module.

8. The adjustable operation control system of a vertical lathe according to claim 7, characterized in that: The abnormality judgment module is also used to generate a part abnormality instruction according to the part detection coefficient LJo, and send the part abnormality instruction to the abnormal warning module, and at the same time control the vertical lathe to stop running, obtain the zero value LS after restarting, and generate a lathe detection instruction according to the zero value LS, and send the lathe detection instruction to the lathe detection module.

9. The adjustable operation control system of a vertical lathe according to claim 8, characterized in that: The specific process of the abnormality determination module generating part abnormality instructions and lathe detection instructions is as follows: Compare the part detection coefficient LJo with the preset part detection threshold LJy, and the comparison results are as follows: If the part detection coefficient LJo ≥ the part detection threshold LJy, the analysis part o corresponding to the part detection coefficient LJo is marked as an abnormal part, and a part abnormal instruction is generated at the same time, and the part abnormal instruction is sent to the abnormal warning module; Control the vertical lathe to stop running for a preset time, and after the vertical lathe is restarted, obtain the total number of abnormal parts per unit time and mark it as a zero value LS; The zero value LS is compared with the preset zero value threshold LSy, and the comparison result is as follows: If the zero value LS≥zero value threshold LSy, a lathe detection instruction is generated and sent to the lathe detection module.

10. The adjustable operation control system of a vertical lathe according to claim 9, characterized in that: The abnormal warning module is also used to sound a part warning bell after receiving a part abnormality instruction.

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