Intelligent control system of high-precision composite grinding equipment

Abstract

The invention discloses an intelligent control system for high-precision composite grinding equipment, and particularly relates to the technical field of equipment control, an influence coefficient is obtained by obtaining the current of the grinding equipment in a target time period and the moving distance of a machined workpiece, and the influence coefficient is compared with a preset influence coefficient threshold value to obtain a result; when the influence coefficient is smaller than a preset influence coefficient threshold value, the ground length, the ground depth and the temperature of the machined workpiece in the target time period are obtained to obtain an adjusting coefficient, the adjusting coefficient is compared with a preset adjusting coefficient threshold value, and when the adjusting coefficient is not smaller than the preset adjusting coefficient threshold value, the ground length is adjusted. The feeding speed, the grinding depth and the cooling liquid flow of the grinding equipment are adjusted, and the grinding equipment is controlled to grind the machined workpiece according to the adjusted feeding speed, the adjusted grinding depth and the adjusted cooling liquid flow of the grinding equipment, so that the final grinding effect of the machined workpiece can be good, and the machining efficiency is improved. The grinding quality of the workpiece meets the standard, and loss is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of equipment control, and in particular to an intelligent control system for high-precision composite grinding equipment. Background Art

[0002] High-precision composite grinding equipment refers to high-precision composite grinding equipment, which is an advanced processing equipment that integrates multiple grinding technologies and is used for processing workpieces with high precision and high surface quality. It usually combines functions such as external cylindrical grinding, internal cylindrical grinding, and surface grinding, and can achieve multiple grinding tasks on a single device, providing precise dimensional control and excellent surface finish. This equipment is widely used in aerospace, automobile manufacturing, precision instruments and other fields, and is particularly suitable for high-end manufacturing with strict requirements on processing accuracy and surface quality.

[0003] In order to grind the workpiece more accurately, in general, the staff will simulate the workpiece to be processed and the grinding equipment, plan the grinding parameters of the grinding equipment as the expected grinding plan, and control the grinding equipment to process the workpiece according to the expected grinding plan, thereby achieving high-precision grinding of the workpiece.

[0004] However, in the actual grinding process, after a period of grinding, the expected grinding plan may no longer be suitable for the grinding of the current workpiece to be processed. If the workpiece is still ground according to the expected grinding plan, the final grinding effect may be poor, resulting in the grinding quality of the workpiece not meeting the standards. In addition, continuing grinding may cause greater losses. Summary of the invention

[0005] The purpose of the present invention is to solve the problem and to propose an intelligent control system for high-precision composite grinding equipment.

[0006] The present invention provides an intelligent control system for high-precision composite grinding equipment, the system comprising: Influence coefficient module: obtain the current of the grinding equipment and the moving distance of the workpiece in the target time period, obtain the invalid power connection coefficient according to the current of the grinding equipment, obtain the workpiece fixed instability coefficient according to the moving distance of the workpiece; and obtain the influence coefficient according to the invalid power connection coefficient and the workpiece fixed instability coefficient; the target time period is the time period from the start of processing to the current processing moment of the workpiece; Adjustment coefficient module: if the influence coefficient is less than the preset influence coefficient threshold, the grinding length, grinding depth and temperature of the workpiece in the target time period are obtained, and the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient are obtained according to the grinding length, grinding depth and temperature, and the adjustment coefficient is obtained according to the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient; Adjustment control module: If the adjustment coefficient is not less than the preset adjustment coefficient threshold, the feed speed, grinding depth and coolant flow of the grinding equipment are adjusted, and the grinding equipment is controlled to grind the workpiece according to the adjusted feed speed, grinding depth and coolant flow of the grinding equipment.

[0007] Optionally, the influence coefficient module includes: Power disconnection stability module: obtains the time-based current value sequence connected to the grinding equipment within the target time period, calculates the standard deviation of the current value sequence, and uses the standard deviation as the power disconnection stability coefficient; Current failure module: compares each current value in the current value sequence with the preset minimum current value, and marks the current value less than the preset minimum current value as 0; divides the total number of 0s in the current value sequence by the total number of current values ​​as the current failure coefficient; Power invalid connection module: normalizes the power connection stability coefficient and the current unqualified coefficient, and obtains the power invalid connection coefficient according to the normalized power connection instability coefficient and the current unqualified coefficient.

[0008] Optionally, the influence coefficient module further includes: Distance frequency module: obtain the moving distance of the workpiece based on time within the target time period, obtain the moving distance sequence, and compare the data value in the moving distance sequence with the preset maximum moving distance, and record the data value that is not less than the preset maximum moving distance as the deviation value; divide the total number of deviation values ​​in the moving distance sequence by the total number of moving distance data to obtain the distance frequency coefficient; Distance deviation module: calculates the average value of the data values ​​in the moving distance sequence, and divides the average value by the preset maximum moving distance to obtain the distance deviation coefficient; Workpiece fixed instability module: normalize the distance frequency coefficient and the distance deviation coefficient, and obtain the workpiece fixed instability coefficient based on the normalized distance frequency coefficient and the distance deviation coefficient.

[0009] Optionally, the influence coefficient module further includes: The influence coefficient is obtained according to the invalid power connection coefficient and the workpiece fixed unstable coefficient, and the calculation formula is: Dsx=c1×TG+c2×QW; wherein Dsx is the influence coefficient, TG and QW are the invalid power connection coefficient and the workpiece fixed unstable coefficient, respectively, c1 and c2 are the preset proportional coefficients of the invalid power connection coefficient and the workpiece fixed unstable coefficient, respectively, and c1 and c2 are both greater than 0.

[0010] Optionally, the adjustment coefficient module includes: Processing progress module: After obtaining the target time period, the actual length of the workpiece being ground is obtained, and the actual length being ground is divided by the preset length being ground to obtain the processing progress coefficient; Precision deviation module: After obtaining the target time period, the average depth of the workpiece actually ground is calculated, and the difference between the preset grinding depth and the average depth is calculated, and the difference is divided by the preset grinding depth to obtain the precision deviation coefficient; Temperature anomaly module: Divide the target time period into several sub-time periods in chronological order, obtain the actual temperature of the workpiece in each sub-time period, and subtract the corresponding preset temperature from the actual temperature to obtain the temperature difference of the corresponding sub-time period; multiply the temperature difference of each sub-time period by the corresponding preset weight value to obtain the temperature anomaly coefficient of the corresponding sub-time period; add the temperature anomaly coefficients of each sub-time period to obtain the temperature anomaly coefficient.

[0011] Optionally, the adjustment coefficient module further includes: The processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient are normalized, and the adjustment coefficient is obtained according to the normalized processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient. The calculation formula is: Wherein, Ehv is the adjustment coefficient, yhu, swd and klg are respectively the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient after normalization, f1, f2 and f3 are respectively the preset proportional coefficients of the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient after normalization, and f1, f2 and f3 are all greater than 0.

[0012] Optionally, the regulation control module includes: Feed speed adjustment module: adjust the feed speed according to the normalized processing progress coefficient. The calculation formula is: Where Vf is the adjusted feed speed, VC is the current feed speed, yhu is the normalized processing progress coefficient, and yjk is the preset processing progress coefficient threshold; Grinding depth adjustment module: Grinding depth is adjusted according to the normalized precision deviation coefficient. The calculation formula is: Where ED is the adjusted grinding depth, ER is the current grinding depth, swd is the accuracy deviation coefficient after normalization, and swx is the preset accuracy deviation coefficient threshold; Coolant flow regulation module: adjusts the coolant flow according to the normalized temperature anomaly coefficient. The calculation formula is: Wherein, WX is the adjusted coolant flow rate, WA is the current coolant flow rate, klg is the accuracy deviation coefficient after normalization, and klu is the preset accuracy deviation coefficient threshold; Control module: controls the grinding device to grind the workpiece according to the adjusted feed speed, grinding depth and coolant flow of the grinding device.

[0013] Beneficial effects of the present invention: The present invention proposes an intelligent control system for high-precision composite grinding equipment, which obtains an influence coefficient by acquiring the current of the grinding equipment and the moving distance of the workpiece being processed within a target time period, and compares the influence coefficient with a preset influence coefficient threshold value. When the influence coefficient is less than the preset influence coefficient threshold value, the ground length, ground depth and temperature of the workpiece being processed within the target time period are acquired to obtain an adjustment coefficient, and the adjustment coefficient is compared with the preset adjustment coefficient threshold value. When the adjustment coefficient is not less than the preset adjustment coefficient threshold value, the feed speed, grinding depth and coolant flow of the grinding equipment are adjusted, and the grinding equipment is controlled to grind the workpiece according to the adjusted feed speed, grinding depth and coolant flow of the grinding equipment. In this way, the grinding effect of the final workpiece can be better, the grinding quality of the workpiece meets the standard, and the loss is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] Figure 1 A framework diagram of an intelligent control system for high-precision composite grinding equipment is provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in 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.

[0017] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0018] The embodiment of the present invention provides an intelligent control system for high-precision composite grinding equipment. Figure 1 , Figure 1 A framework diagram of an intelligent control system for high-precision composite grinding equipment provided by an embodiment of the present invention. The system includes: Influence coefficient module: obtain the current of the grinding equipment and the moving distance of the workpiece in the target time period, obtain the invalid power connection coefficient according to the current of the grinding equipment, and obtain the workpiece fixed instability coefficient according to the moving distance of the workpiece; and obtain the influence coefficient according to the invalid power connection coefficient and the workpiece fixed instability coefficient; the target time period is the time period from the start of processing to the current processing moment of the workpiece; Adjustment coefficient module: if the influence coefficient is less than the preset influence coefficient threshold, the grinding length, grinding depth and temperature of the workpiece in the target time period are obtained, and the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient are obtained according to the grinding length, grinding depth and temperature, and the adjustment coefficient is obtained according to the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient; Adjustment control module: If the adjustment coefficient is not less than the preset adjustment coefficient threshold, the feed speed, grinding depth and coolant flow of the grinding equipment are adjusted, and the grinding equipment is controlled to grind the workpiece according to the adjusted feed speed, grinding depth and coolant flow of the grinding equipment.

[0019] Based on the intelligent control system of high-precision composite grinding equipment provided by the embodiment of the present invention, the above-mentioned method can achieve a better grinding effect on the final processed workpiece, make the grinding quality of the workpiece meet the standard, and reduce losses.

[0020] In one embodiment, the influence coefficient module includes: Power disconnection stability module: obtains the time-based current value sequence connected to the grinding equipment within the target time period, calculates the standard deviation of the current value sequence, and uses the standard deviation as the power disconnection stability coefficient; Current failure module: compares each current value in the current value sequence with the preset minimum current value, and marks the current value less than the preset minimum current value as 0; divides the total number of 0s in the current value sequence by the total number of current values ​​as the current failure coefficient; Power invalid connection module: normalizes the power connection stability coefficient and the current unqualified coefficient, and obtains the power invalid connection coefficient according to the normalized power connection instability coefficient and the current unqualified coefficient.

[0021] It should be noted that the present invention can use the following formula to calculate the invalid power connection coefficient, and the calculation expression is: TG=a1×MK+a2×NH; wherein, FG is the invalid power connection coefficient, MK and NH are the normalized power connection instability coefficient and the current unqualified coefficient, respectively, a1 and a2 are the preset proportional coefficients of the normalized power connection instability coefficient and the current unqualified coefficient, respectively, and a1 and a2 are both greater than 0.

[0022] It should be noted that a1 and a2 are also set by professionals according to actual conditions. Generally, the sum of a1 and a2 is 1. For example, a1 and a2 can be 0.5 and 0.5 respectively, or other numbers, which are not specifically limited.

[0023] It should be noted that the time-based current value connected to the grinding equipment during the target time period can be directly obtained through the current monitoring system of the grinding equipment. The current monitoring system of the grinding equipment can continuously record current data and transmit these data to the control system or data recording system of the equipment in real time; it can also be obtained in other ways, which are not limited or elaborated on; in addition, the preset minimum current value refers to the minimum current corresponding to the normal operation of the grinding equipment. The specific preset minimum current value is set by professionals according to the actual situation and is not limited or elaborated on here.

[0024] It should be noted that the invalid power connection coefficient refers to the degree of instability of the current connected to the grinding equipment and the degree of unqualified current value within the target time period. The greater the current instability and the greater the degree of unqualified current value, it means that even if the grinding parameters of the grinding equipment are adjusted, it is impossible to make the quality of the processed workpiece qualified. The reason is that the grinding equipment is usually equipped with a feedback control system to adjust the grinding parameters, but one of the effectiveness of these systems depends on the stability of the power supply. If the power supply is unstable, the feedback control system may not be able to accurately obtain real-time data, resulting in errors or delays in the control signal, affecting the adjustment effect. If the power supply problem is serious, the adjustment ability of the equipment may not be enough to compensate for the performance fluctuations caused by the power supply, thus affecting the final processing effect.

[0025] In one implementation, through the above method, the calculated power invalid connection coefficient can more accurately reflect the effective state of the power supply connected to the grinding device, making the subsequent calculation results more accurate.

[0026] In one embodiment, the influence coefficient module further includes: Distance frequency module: obtain the moving distance of the workpiece based on time within the target time period, obtain the moving distance sequence, and compare the data value in the moving distance sequence with the preset maximum moving distance, and record the data value that is not less than the preset maximum moving distance as the deviation value; divide the total number of deviation values ​​in the moving distance sequence by the total number of moving distance data to obtain the distance frequency coefficient; Distance deviation module: calculates the average value of the data values ​​in the moving distance sequence, and divides the average value by the preset maximum moving distance to obtain the distance deviation coefficient; Workpiece fixed instability module: normalize the distance frequency coefficient and the distance deviation coefficient, and obtain the workpiece fixed instability coefficient based on the normalized distance frequency coefficient and the distance deviation coefficient.

[0027] It should be noted that the present invention can use the following formula to calculate the workpiece fixed instability coefficient, and the calculation expression is: QW=b1×ED+b2×RF; wherein, QW is the workpiece fixed instability coefficient, ED and RF are the distance frequency coefficient and distance deviation coefficient after normalization, respectively, b1 and b2 are the preset proportional coefficients of the distance frequency coefficient and distance deviation coefficient after normalization, respectively, and b1 and b2 are both greater than 0.

[0028] It should be noted that b1 and b2 are also set by professionals according to actual conditions. Generally, the sum of b1 and b2 is 1. For example, b1 and b2 can be 0.5 and 0.5 respectively, or other numbers, which are not specifically limited.

[0029] It should be noted that the time-based moving distance of the processed workpiece can be obtained by a displacement sensor installed on the grinding equipment. The position sensor is set to align with the moving path of the workpiece to generate time series data. The measured moving distance data is processed to form a moving distance sequence for subsequent analysis. It can also be obtained in other ways, which are not limited or elaborated on. In addition, the preset maximum moving distance is set by professionals based on actual conditions, which are not limited or elaborated on.

[0030] It should be noted that the workpiece fixed instability coefficient refers to the degree to which the moving distance of the processed workpiece within the target time period deviates from the preset maximum moving distance. If the degree of deviation is greater and the degree of unqualified current value is greater, it means that even if the grinding parameters of the grinding equipment are adjusted, it is impossible to make the quality of the processed workpiece qualified. The reason is that if the workpiece fixed instability coefficient is too large, the workpiece moves or is unsteadily fixed during the processing. Even if the feed speed, grinding depth and other parameters are adjusted, the relative position between the workpiece and the grinding tool will still change. This deviation will directly affect the accuracy of grinding, causing the final size and shape of the workpiece to deviate from expectations, thereby affecting the final processing effect.

[0031] In one implementation, through the above method, the calculated workpiece fixing instability coefficient can more accurately reflect the instability of the processing equipment during the grinding process, making the subsequent calculation results more accurate.

[0032] In one embodiment, the influence coefficient module further includes: The influence coefficient is obtained according to the invalid power connection coefficient and the workpiece fixed unstable coefficient, and the calculation formula is: Dsx=c1×TG+c2×QW; wherein Dsx is the influence coefficient, TG and QW are the invalid power connection coefficient and the workpiece fixed unstable coefficient, respectively, c1 and c2 are the preset proportional coefficients of the invalid power connection coefficient and the workpiece fixed unstable coefficient, respectively, and c1 and c2 are both greater than 0.

[0033] It should be noted that c1 and c2 are also set by professionals according to actual conditions. Generally, the sum of c1 and c2 is 1. For example, c1 and c2 can be 0.4 and 0.6 respectively, or other numbers, which are not specifically limited.

[0034] In one embodiment, the influence coefficient is compared with a preset influence coefficient threshold. If the influence coefficient is less than the preset influence coefficient threshold, it means that adjusting the grinding parameter data of the grinding equipment can make the workpiece processing quality meet the standard; if the influence coefficient is not less than the preset influence coefficient threshold, it means that adjusting the grinding parameter data of the grinding equipment cannot make the workpiece processing quality meet the standard.

[0035] It should be noted that the preset impact coefficient threshold is set by professionals according to actual conditions and will not be limited or elaborated here.

[0036] It should be noted that if the influence coefficient is less than the preset influence coefficient threshold, it means that if the current grinding state is not good, the quality of the processed workpiece can be qualified by adjusting the grinding parameters of the grinding equipment. Therefore, the external influence is relatively weak at this time, and only the grinding parameters of the grinding equipment need to be adjusted; if the influence coefficient is not less than the preset influence coefficient threshold, it means that the external influence is relatively strong, even if the grinding parameters of the grinding equipment are adjusted, it is impossible to make the quality of the processed workpiece qualified. At this time, an alarm is issued to remind the staff that they need to take corresponding measures for the grinding equipment and the processed workpiece, and stop grinding the processed workpiece to reduce losses.

[0037] In one embodiment, the adjustment coefficient module includes: Processing progress module: After obtaining the target time period, the actual length of the workpiece being ground is obtained, and the actual length being ground is divided by the preset length being ground to obtain the processing progress coefficient; Precision deviation module: After obtaining the target time period, the average depth of the workpiece actually ground is calculated, and the difference between the preset grinding depth and the average depth is calculated, and the difference is divided by the preset grinding depth to obtain the precision deviation coefficient; Temperature anomaly module: Divide the target time period into several sub-time periods in chronological order, obtain the actual temperature of the workpiece in each sub-time period, and subtract the corresponding preset temperature from the actual temperature to obtain the temperature difference of the corresponding sub-time period; multiply the temperature difference of each sub-time period by the corresponding preset weight value to obtain the temperature anomaly coefficient of the corresponding sub-time period; add the temperature anomaly coefficients of each sub-time period to obtain the temperature anomaly coefficient.

[0038] It should be noted that the actual length of the workpiece being ground, the actual average depth of the workpiece being ground and the actual temperature of the workpiece being processed can be recorded in real time through the monitoring module of the workpiece processing system, or in other ways, which are not limited or elaborated on in detail; in addition, the preset grinding length, preset grinding depth, preset temperature and preset weight value are all set by professionals according to actual conditions, and are not limited or elaborated on here; in addition, dividing the target time period into several sub-time periods in chronological order is also divided and set by professionals according to actual conditions, and is not limited or elaborated on here.

[0039] In one embodiment, the adjustment coefficient module further includes: The processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient are normalized, and the adjustment coefficient is obtained according to the normalized processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient. The calculation formula is: Wherein, Ehv is the adjustment coefficient, yhu, swd and klg are respectively the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient after normalization, f1, f2 and f3 are respectively the preset proportional coefficients of the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient after normalization, and f1, f2 and f3 are all greater than 0.

[0040] It should be noted that f1, f2, and f3 are set by professionals according to actual conditions. Generally, the sum of f1, f2, and f3 is 1. For example, f1, f2, and f3 can be 0.3, 0.3, and 0.4, respectively, or other numbers, without specific limitation.

[0041] It should be noted that the processing progress coefficient refers to the processing progress of the workpiece within the target time period; the precision deviation coefficient refers to the difference between the grinding depth of the workpiece and the preset depth; the temperature anomaly coefficient refers to the difference between the actual temperature of the workpiece and the preset temperature; when the processing progress coefficient is smaller, the precision deviation coefficient is larger, and the temperature anomaly coefficient is larger, that is, the adjustment coefficient is larger, it means that the grinding parameters of the grinding equipment need to be adjusted to grind the workpiece, so as to ensure the grinding quality of the workpiece. The reason is: the smaller the processing progress coefficient, the more it means that the actual processing progress lags behind the expected progress, which may be caused by slow grinding speed, equipment failure or improper process. A smaller processing progress coefficient indicates that the feed speed of the grinding equipment needs to be adjusted to improve processing efficiency and progress and ensure that the workpiece is completed within the scheduled time; the larger the accuracy deviation coefficient, the greater the difference between the actual grinding depth and the preset grinding depth, indicating that there is a deviation in the grinding accuracy, which may be caused by equipment wear, inaccurate settings, wear of grinding tools, etc. A larger accuracy deviation coefficient indicates that the grinding depth of the grinding equipment needs to be adjusted to achieve the required grinding accuracy and improve the processing quality of the workpiece; the larger the temperature anomaly coefficient, the more the temperature deviates from the preset temperature range during the actual processing, which may cause thermal deformation, burns or other quality problems on the workpiece surface. A larger temperature anomaly coefficient indicates that the coolant flow of the grinding equipment needs to be adjusted to keep the workpiece within the appropriate temperature range to ensure processing quality and normal operation of the equipment.

[0042] In one implementation, the processing progress coefficient, precision deviation coefficient, temperature anomaly coefficient and adjustable coefficient calculated by the above method are more accurate and more in line with the actual state during the processing.

[0043] In one embodiment, the adjustment coefficient is less than the preset adjustment coefficient threshold value for comparison. If the adjustment coefficient is less than the preset adjustment coefficient threshold value, the grinding parameter data of the grinding equipment does not need to be adjusted; if the adjustment coefficient is not less than the preset adjustment coefficient threshold value, the grinding parameter data of the grinding equipment needs to be adjusted.

[0044] It should be noted that the preset adjustment coefficient threshold is set by professionals based on actual conditions and will not be limited or elaborated on in detail.

[0045] It should be noted that if the adjustment coefficient is less than the preset adjustment coefficient threshold, it means that the grinding equipment still grinds the workpiece according to the previous grinding parameters, which will make the final grinding quality of the workpiece qualified, so there is no need to adjust the grinding parameter data of the grinding equipment; if the adjustment coefficient is not less than the preset adjustment coefficient threshold, it means that the grinding equipment still grinds the workpiece according to the previous grinding parameters, which will not make the final grinding quality of the workpiece qualified, so it is necessary to adjust the grinding parameter data of the grinding equipment, and the specific grinding parameter data that need to be adjusted are the feed speed, grinding depth and coolant flow rate of the grinding equipment.

[0046] It should be noted that, in general, the grinding of the workpiece is divided into multiple rounds of grinding. Therefore, even if the grinding depth is within the target time period, it will not affect the overall final expected grinding depth.

[0047] In one embodiment, the regulation control module includes: Feed speed adjustment module: adjust the feed speed according to the normalized processing progress coefficient. The calculation formula is: Where Vf is the adjusted feed speed, VC is the current feed speed, yhu is the normalized processing progress coefficient, and yjk is the preset processing progress coefficient threshold; Grinding depth adjustment module: Grinding depth is adjusted according to the normalized precision deviation coefficient. The calculation formula is: Where ED is the adjusted grinding depth, ER is the current grinding depth, swd is the accuracy deviation coefficient after normalization, and swx is the preset accuracy deviation coefficient threshold; Coolant flow regulation module: adjusts the coolant flow according to the normalized temperature anomaly coefficient. The calculation formula is: Wherein, WX is the adjusted coolant flow rate, WA is the current coolant flow rate, klg is the accuracy deviation coefficient after normalization, and klu is the preset accuracy deviation coefficient threshold; Control module: controls the grinding device to grind the workpiece according to the adjusted feed speed, grinding depth and coolant flow of the grinding device.

[0048] It should be noted that the preset processing progress coefficient threshold, the preset accuracy deviation coefficient threshold and the preset accuracy deviation coefficient threshold are all set by the staff according to the actual situation, and no specific limitation or elaboration is made.

[0049] In one implementation, the feed speed, grinding depth and coolant flow of the grinding equipment can be adjusted in the above manner to accurately respond to various problems that occur during the processing, such as progress delays, precision deviations and temperature anomalies. This intelligent adjustment method helps to optimize the grinding process in real time, improve processing quality and efficiency, while reducing the need for manual intervention and reducing equipment failure rates, thereby achieving the best performance of high-precision composite grinding equipment.

[0050] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent control system for high-precision composite grinding equipment, characterized in that: The system comprises: Influence coefficient module: obtain the current of the grinding equipment and the moving distance of the workpiece in the target time period, obtain the invalid power connection coefficient according to the current of the grinding equipment, obtain the workpiece fixed instability coefficient according to the moving distance of the workpiece; and obtain the influence coefficient according to the invalid power connection coefficient and the workpiece fixed instability coefficient; the target time period is the time period from the start of processing to the current processing moment of the workpiece; Adjustment coefficient module: if the influence coefficient is less than the preset influence coefficient threshold, the grinding length, grinding depth and temperature of the workpiece in the target time period are obtained, and the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient are obtained according to the grinding length, grinding depth and temperature, and the adjustment coefficient is obtained according to the processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient; Adjustment control module: If the adjustment coefficient is not less than the preset adjustment coefficient threshold, the feed speed, grinding depth and coolant flow of the grinding equipment are adjusted, and the grinding equipment is controlled to grind the workpiece according to the adjusted feed speed, grinding depth and coolant flow of the grinding equipment.

2. The intelligent control system for high-precision composite grinding equipment according to claim 1 is characterized in that: The influence coefficient module includes: Power disconnection stability module: obtains the time-based current value sequence connected to the grinding equipment within the target time period, calculates the standard deviation of the current value sequence, and uses the standard deviation as the power disconnection stability coefficient; Current failure module: compares each current value in the current value sequence with the preset minimum current value, and marks the current value less than the preset minimum current value as 0; divides the total number of 0s in the current value sequence by the total number of current values ​​as the current failure coefficient; Power invalid connection module: normalizes the power connection stability coefficient and the current unqualified coefficient, and obtains the power invalid connection coefficient according to the normalized power connection instability coefficient and the current unqualified coefficient.

3. The intelligent control system for high-precision composite grinding equipment according to claim 2 is characterized in that: The influence coefficient module also includes: Distance frequency module: obtain the moving distance of the workpiece based on time within the target time period, obtain the moving distance sequence, and compare the data value in the moving distance sequence with the preset maximum moving distance, and record the data value that is not less than the preset maximum moving distance as the deviation value; divide the total number of deviation values ​​in the moving distance sequence by the total number of moving distance data to obtain the distance frequency coefficient; Distance deviation module: calculates the average value of the data values ​​in the moving distance sequence, and divides the average value by the preset maximum moving distance to obtain the distance deviation coefficient; Workpiece fixed instability module: normalize the distance frequency coefficient and the distance deviation coefficient, and obtain the workpiece fixed instability coefficient based on the normalized distance frequency coefficient and the distance deviation coefficient.

4. The intelligent control system for high-precision composite grinding equipment according to claim 3 is characterized in that: The influence coefficient module also includes: The influence coefficient is obtained according to the invalid power connection coefficient and the workpiece fixed unstable coefficient, and the calculation formula is: Dsx=c1×TG+c2×QW; wherein Dsx is the influence coefficient, TG and QW are the invalid power connection coefficient and the workpiece fixed unstable coefficient, respectively, c1 and c2 are the preset proportional coefficients of the invalid power connection coefficient and the workpiece fixed unstable coefficient, respectively, and c1 and c2 are both greater than 0.

5. The intelligent control system for high-precision composite grinding equipment according to claim 1 is characterized in that: The adjustment coefficient module includes: Processing progress module: After obtaining the target time period, the actual length of the workpiece being ground is obtained, and the actual length being ground is divided by the preset length being ground to obtain the processing progress coefficient; Precision deviation module: After obtaining the target time period, the average depth of the workpiece actually ground is calculated, and the difference between the preset grinding depth and the average depth is calculated, and the difference is divided by the preset grinding depth to obtain the precision deviation coefficient; Temperature anomaly module: Divide the target time period into several sub-time periods in chronological order, obtain the actual temperature of the workpiece in each sub-time period, and subtract the corresponding preset temperature from the actual temperature to obtain the temperature difference of the corresponding sub-time period; multiply the temperature difference of each sub-time period by the corresponding preset weight value to obtain the temperature anomaly coefficient of the corresponding sub-time period; add the temperature anomaly coefficients of each sub-time period to obtain the temperature anomaly coefficient.

6. The intelligent control system for high-precision composite grinding equipment according to claim 5 is characterized in that: The adjustment coefficient module also includes: The processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient are normalized, and the adjustment coefficient is obtained according to the normalized processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient. The calculation formula is: Where Ehv is the adjustment coefficient, yhu, swd and klg are respectively the normalized processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient, f1, f2 and f3 are respectively the preset proportional coefficients of the normalized processing progress coefficient, precision deviation coefficient and temperature anomaly coefficient, and f1, f2 and f3 are all greater than 0 .

7. The intelligent control system for high-precision composite grinding equipment according to claim 1 is characterized in that: The regulation control module comprises: Feed speed adjustment module: adjust the feed speed according to the normalized processing progress coefficient. The calculation formula is: Where Vf is the adjusted feed speed, VC is the current feed speed, yhu is the normalized processing progress coefficient, and yjk is the preset processing progress coefficient threshold; Grinding depth adjustment module: Grinding depth is adjusted according to the normalized precision deviation coefficient. The calculation formula is: Where ED is the adjusted grinding depth, ER is the current grinding depth, swd is the accuracy deviation coefficient after normalization, and swx is the preset accuracy deviation coefficient threshold; Coolant flow regulation module: adjusts the coolant flow according to the normalized temperature anomaly coefficient. The calculation formula is: Wherein, WX is the adjusted coolant flow rate, WA is the current coolant flow rate, klg is the accuracy deviation coefficient after normalization, and klu is the preset accuracy deviation coefficient threshold; Control module: controls the grinding device to grind the workpiece according to the adjusted feed speed, grinding depth and coolant flow of the grinding device.

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