A kind of automatic control method of boring and milling drilling machine

Abstract

The present invention discloses an automated control method for a boring, milling and drilling machine, which relates to the technical field of boring, milling and drilling machines, and solves the problem of large differences in heat control accuracy generated during the machining process thereof. The present invention gradually increases the associated parameters of the lubricating coolant, and in the process of increasing the parameters, confirms the heat reduction associated with the corresponding parameters, and gradually adjusts until the corresponding heat does not increase, stops, and makes another judgment, and synchronously performs real-time regulation based on the subsequent actual judgment process, which can effectively and accurately control the corresponding heat and keep the corresponding heat within a controllable range, thereby achieving better machining effects and effectively avoiding errors in machining accuracy due to the inability to control heat.

Description

Technical Field

[0001] The invention relates to the technical field of boring, milling and drilling machines, and in particular to an automatic control method for boring, milling and drilling machines. Background Art

[0002] Boring, milling and drilling machines are machine tools that integrate multiple processing functions such as boring, milling and drilling. They are widely used in the field of mechanical processing and are composed of key components such as the bed, column, spindle box, worktable and feed system. The bed, as the basic supporting component, provides a stable installation platform for the entire machine tool to ensure the relative position accuracy of each component during the processing process; the column is used to install the spindle box so that it can adjust its position in the vertical direction to meet the processing requirements of different heights; the spindle box is equipped with a precision spindle and a speed change mechanism to realize the rotation of the tool, and the speed can be adjusted according to the processing technology; the worktable is used to fix the workpiece and can move accurately in the horizontal (X axis), longitudinal (Y axis) and vertical (Z axis) directions, which is convenient for processing different positions of the workpiece; the feed system is responsible for accurately driving the movement of components such as the worktable and the spindle box to ensure the accuracy of the relative movement between the tool and the workpiece.

[0003] The application with the publication number CN105921782B discloses an automatic drilling machine based on a PLC control system. The key points of its technical solution are an automatic drilling machine based on a PLC control system, including a workbench and a drill bit. The workbench is provided with a vise for clamping; the vise includes two layers, the upper vise is provided with a drilling hole, and the upper vise is connected to a first cylinder for controlling its opening and closing; the workbench is provided with an electromagnetic group, and a guide tube is provided under the electromagnetic group, and the guide tube is connected to a collection tank; a lead screw for controlling its movement in the X and Y directions is provided under the workbench, and a servo motor for controlling its rotation is connected to the lead screw; and a PLC control system is also included, and the PLC control system controls the movement of the workbench and the vise. During specific processing, since the electromagnetic group generates magnetic force when it is energized, the electromagnetic group generates magnetic attraction to the iron chips, attracts the excess processing iron chips to both sides of the workbench, and introduces them into the collection tank to achieve the effect of automatic cleaning.

[0004] In the actual processing control process, the boring, milling and drilling machine releases the associated lubricating coolant in real time based on the corresponding processing process to cool the heat generated in the processing process. However, since the release rate of the lubricating coolant is a constant, there will be a large difference in the control accuracy of the heat generated in the processing process, resulting in poor actual control effect and affecting the processing accuracy. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an automated control method for a boring, milling and drilling machine, which solves the problem of large differences in the control accuracy of heat generated during the machining process.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a boring and milling drilling machine automation control method, comprising the following steps:

[0007] Step 1: Based on the preset workpiece model, confirm the corresponding processing parameters, and then based on the placed workpiece to be processed, confirm the solid model of the workpiece to be processed, and then lock the processing position of the workpiece to be processed through relevant confirmation analysis of the values. The specific sub-steps are:

[0008] S11, based on a preset workpiece model, confirming a processing area marked in the workpiece model, marking a preset center point in the workpiece model as a starting point, and synchronously obtaining a part of the model body to be removed based on the processing area, wherein the part of the model body is also a preset model, placing the part of the model body at an original position in the processing area, and marking a center point of the part of the model body as an end point, and confirming a set of spatial position vectors based on the spatial positions of the starting point and the end point;

[0009] S12, confirming the surface image of the object to be processed, and generating a solid model of the object to be processed based on the confirmed multi-directional surface image, and confirming the internal center point of the solid model based on the constructed solid model, and based on the confirmed spatial position vector, combining the starting point of the spatial position vector with the internal center point, and confirming the specific processing position based on the specific position corresponding to the end point of the spatial position vector;

[0010] S13, performing processing on the object to be processed based on the determined processing position and preset processing data;

[0011] Step 2: Based on the confirmed processing position, data monitoring is performed on the object to be processed in real time to confirm the actual change curve of the corresponding processing position, and then based on the standard parameters actually confirmed, a standard change curve of the corresponding processing position is generated, and the actual change curve generated in real time is compared with the standard change curve in real time to assess whether there is an abnormal temperature change, and a temperature abnormality signal is generated in real time. The specific sub-steps are as follows:

[0012] S21. Based on the processing data associated with the processing process, confirm the processing speed and calibrate it as n. Then, based on the number of processing revolutions in the actual processing process and the associated processing time, confirm the real-time heat Q generated at the corresponding processing position, where Q=nqt, where q represents the number of processing revolutions and t represents the processing time. Based on the different real-time heat Q associated with different processing times, generate a heat change line of the corresponding processing position in real time. Then, based on the specific heat R absorbed by the cooling lubricant per unit time, generate an absorbed heat change line, where R is a preset value, and the heat change line and the absorbed heat change line are associated with the same coordinate system, where the horizontal coordinate axes are all time lines and the vertical coordinate axes are all heat data.

[0013] Based on the confirmed heat change line and the absorbed heat change line, the two sets of change lines are placed in the same coordinate system, and then the different real-time heat Q and specific heat R corresponding to the same moment are processed by difference, and the differential heat at the same moment is confirmed. The differential heat = (QR), the coordinate point corresponding to the differential heat is determined in the coordinate system, and the differential heat associated with the coordinate point is calibrated as C i , where i represents different coordinate points;

[0014] If C i <0, then move this coordinate point to the horizontal coordinate axis;

[0015] Based on the coordinate points confirmed in real time, several groups of coordinate points are connected to confirm the standard change curve associated with the processing process;

[0016] S22, monitor the temperature of the processing position in real time, and confirm the heat increase value in unit time based on the temperature change data in unit time, using Qs=mc×(temperature change data), the temperature change data=the temperature associated with the next moment-the temperature associated with the previous moment, where m and c are both preset data, based on the heat increase value Qs confirmed in real time, and confirm its actual change curve in real time;

[0017] S23, compare the actual change curve with the standard change curve in real time: calibrate the heat data associated with the actual change curve as S k , the heat data associated with the standard change curve is calibrated as B k , where k represents different time points, based on the specific process of real-time monitoring, if there is (S k -B k )≥Y1, where Y1 is the preset value, then a temperature abnormality signal is directly generated;

[0018] Step 3: Based on the confirmed abnormal temperature signal, the release rate of the lubricating coolant is adjusted in real time, and the specific value of the release rate at each different stage is confirmed by analyzing the confirmed actual change curve and the standard change curve, and real-time regulation is performed. The specific sub-steps are:

[0019] S31, based on the confirmed abnormal temperature signal, increasing the release rate of the lubricating coolant, and recording the increase value per unit time, where the increase value is a unit of increase parameter;

[0020] Based on the actual change curve monitored, the change data of the same unit time is confirmed, and the change data = the heat data of the next moment - the heat data of the previous moment;

[0021] S32, from the confirmed actual change curve, the moment associated with the abnormal temperature signal is taken as the determination moment, and the heat data associated with the determination moment is calibrated as RL1, and the heat data associated with the moment before the determination moment is calibrated as RL2, and RL1-RL2=TZ is used to determine the heat characteristic value TZ associated with the corresponding abnormal temperature signal;

[0022] Using TZ-change data=QQ, confirm the downward trend data QQ, using TZ-QQ×m≤0, confirm the maximum value of m, and m is a positive integer, based on the determined m, execute the first stage of the cooling process, so that the release rate of the lubricating coolant is increased by m units of the improvement parameter;

[0023] S33, identifying whether the heat data generated in real time by the actual change curve is higher than the previous set of heat data, if so, continuously increasing the release rate of the lubricating coolant, increasing the increase parameter by one unit per unit time, until the heat data generated in real time is no higher than the previous set of heat data, if not, executing step S34;

[0024] S34, based on whether the heat data associated with the actual change curve and the standard change curve at the same time meet the following conditions: (S k -B k )≥Y1:

[0025] If it still meets the requirement, then directly confirm the relevant difference: its relevant difference = S k -B k , and based on the confirmed downward trend data QQ, the relevant difference ÷QQ=DW is used to lock the adjustment value DW. If DW is not a positive integer, the positive integer DW is further processed and the processed value is used as the adjustment value DW, and the release rate of the lubricating coolant is again increased by DW units of the improvement parameter.

[0026] Preferably, in step S23, if there is no (S k -B k ) ≥ Y1, continue monitoring.

[0027] Preferably, in step S21, if Ri≥0, no movement is performed.

[0028] Preferably, in step S34, if the heat data does not meet (S k -B k ) ≥ Y1, then continuous monitoring is sufficient.

[0029] The present invention provides an automatic control method for a boring, milling and drilling machine. Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention determines the corresponding standard change curve of heat by monitoring the rotation speed and time, and then verifies the change curves associated with the two in real time based on the actual change curve of heat in the actual processing process to evaluate the change data between the corresponding heat, so as to determine whether there is temperature abnormality in the corresponding processing process. The evaluation method here is more accurate and simultaneously guarantees the subsequent associated control effect;

[0031] In the actual control process, the related parameters of the lubricating coolant are gradually increased, and in the process of increasing, the heat reduction associated with the corresponding parameters is confirmed, and gradually adjusted until the corresponding heat does not rise, and then stopped, and re-judged. Synchronously, based on the subsequent actual judgment process, real-time regulation is performed, which can effectively and accurately control the corresponding heat and keep the corresponding heat within a controllable range, thereby achieving better processing results and effectively avoiding errors in processing accuracy due to the inability to control heat. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] See also Figure 1 The present application provides an automatic control method for a boring and milling drilling machine, comprising the following steps:

[0035] Step 1: Based on the preset workpiece model, confirm the corresponding processing parameters, then based on the placed workpiece, confirm the physical model of the workpiece, and then lock the processing position of the workpiece through relevant confirmation analysis of the numerical values. Specifically, in the actual processing operation, it is necessary to determine the corresponding physical model based on the corresponding preset model, and process the workpiece actually processed based on the specific parameters of the physical model;

[0036] The specific sub-steps for locking the processing position of the body to be processed are:

[0037] S11, based on a preset workpiece model, confirming a processing area marked in the workpiece model, marking a preset center point in the workpiece model as a starting point, and synchronously obtaining a part of the model body to be removed based on the processing area, wherein the part of the model body is also a preset model, placing the part of the model body at an original position in the processing area, and marking a center point of the part of the model body as an end point, and confirming a set of spatial position vectors based on the spatial positions of the starting point and the end point;

[0038] S12, confirming the surface image of the object to be processed, and generating a solid model of the object to be processed based on the confirmed multi-directional surface image, and confirming the internal center point of the solid model based on the constructed solid model, and combining the starting point of the spatial position vector with the internal center point based on the confirmed spatial position vector, and confirming the specific processing position based on the specific position corresponding to the end point of the spatial position vector. Specifically, according to the corresponding multi-directional image and the specific position of the corresponding image, the specific model of the object to be processed can be directly generated. Since the method of generating the corresponding solid model by scanning the image is relatively common in the prior art, it will not be described in detail here.

[0039] S13, based on the determined processing position and the preset processing data, the object to be processed is processed. Specifically, based on the preset model body and the removed partial model body, the position of the removed partial model body is identified, and based on the associated center point position, the relevant space vector of the corresponding processing position can be quickly confirmed, so as to quickly lock the relevant processing position based on the determined space vector, and then perform real-time processing based on the preset specific processing data;

[0040] Step 2: Based on the confirmed processing position, data monitoring is performed on the object to be processed in real time to confirm the actual change curve of the corresponding processing position, and then based on the standard parameters actually confirmed, a standard change curve of the corresponding processing position is generated, and the actual change curve generated in real time is compared with the standard change curve in real time to assess whether there is an abnormal temperature change, and generate a temperature abnormality signal in real time. Specifically, during the processing, a large amount of heat will be generated at the corresponding friction position, and the generated heat has a specific relationship with the processing speed, the number of friction circles and the processing time. During the actual processing, the corresponding temperature change can be locked, so as to perform an abnormal assessment based on the specific position actually monitored, and the release rate of the cooling lubricant is adjusted in real time based on the actual assessment results. The specific sub-steps of the assessment are as follows:

[0041] S21. Based on the processing data associated with the processing process, confirm the processing speed and calibrate it as n. Then, based on the number of processing turns in the actual processing process and the associated processing time, confirm the real-time heat Q generated at the corresponding processing position, where Q=nqt, where q represents the number of processing turns and t represents the processing time. Based on the different real-time heat Q associated with different processing times, generate the heat change line of the corresponding processing position in real time. Then, based on the specific heat R absorbed by the cooling lubricant per unit time, generate the absorption heat change line, where R is a preset value, which is prepared in advance by the relevant operating personnel based on experience. The heat change line and the absorption heat change line are associated with the same coordinate system, where the horizontal coordinate axes are all time lines and the vertical coordinate axes are all heat data. Specifically, the absorption heat change line is a change line of the heat absorbed by the cooling lubricant as time increases, that is, a specific heat R is added per unit time.

[0042] Based on the confirmed heat change line and the absorbed heat change line, the two sets of change lines are placed in the same coordinate system, and then the different real-time heat Q and specific heat R corresponding to the same moment are processed by difference, and the differential heat at the same moment is confirmed. The differential heat = (QR), the coordinate point corresponding to the differential heat is determined in the coordinate system, and the differential heat associated with the coordinate point is calibrated as C i , where i represents different coordinate points;

[0043] If C i <0, then move this coordinate point to the horizontal coordinate axis (that is, no matter how much absorption occurs, the heat data generated will not be lower than 0, that is, when the difference heat is <0, then record this difference heat as 0), otherwise do not move it;

[0044] Based on the coordinate points confirmed in real time, several groups of coordinate points are connected to confirm the standard change curve associated with this processing process. In the standard change curve, the initial heat is 0. In the actual operation process, the corresponding lubricating coolant is involved, which will cause the corresponding heat to decrease in real time, that is, the heat gradually changes from 0 to a negative value over time, and the heat data gradually decreases. This is a theoretical situation. Under normal circumstances, the heat will not change to a negative value. For example: the heat that the lubricant can absorb per unit time is 5 joules. At the beginning of processing, the processing component only generates 4 joules of heat, so the heat is "-1" in theory. In the actual process, such a value will not appear, so the value 0 is used to represent such a negative value. Then the heat value associated with the corresponding standard change curve at the beginning is basically 0;

[0045] S22, monitor the temperature of the processing position in real time, and confirm the increase value of the heat in unit time based on the temperature change data in unit time, using Qs=mc×(temperature change data), the temperature change data=the temperature associated with the next moment-the temperature associated with the previous moment, where m and c are preset data, which are formulated by relevant operators based on experience, c represents specific heat capacity, and m represents mass, which are both constant values, so the generated heat increase value Qs is related to the change temperature in unit time. Here, when the heat is increasing, there is a real-time heat absorption situation of the corresponding lubricating coolant, based on the real-time confirmed heat increase value Qs, and its actual change curve is confirmed in real time;

[0046] S23, compare the actual change curve with the standard change curve (as a correlation benchmark) in real time: calibrate the heat data associated with the actual change curve as S k , the heat data associated with the standard change curve is calibrated as B k , where k represents different time points, based on the specific process of real-time monitoring, if there is (S k -B k ) ≥ Y1, where Y1 is a preset value, and its specific value is determined by the operator based on experience, then a temperature abnormality signal is directly generated, otherwise, continuous monitoring is performed;

[0047] Step 3: Based on the confirmed temperature abnormality signal, the release rate of the lubricating coolant is adjusted in real time, and the specific value of the release rate at each different stage is confirmed by analyzing the confirmed actual change curve and the standard change curve, and real-time regulation is performed. Specifically, when the temperature is abnormal, it means that the cooling capacity of the corresponding coolant is insufficient. Therefore, in order to solve this problem, cooling control is required to reduce the temperature data generated in real time and solve the temperature abnormality in detail.

[0048] The specific sub-steps for real-time control are as follows:

[0049] S31. Based on the confirmed abnormal temperature signal, the release rate of the lubricating coolant is increased, and the increase value per unit time is recorded, where the increase value is a unit increase parameter, and each unit increase parameter is prepared in advance by relevant operators based on experience;

[0050] Based on the actual change curve monitored, the change data of the same unit time is confirmed, and the change data = the heat data of the next moment - the heat data of the previous moment;

[0051] S32, from the confirmed actual change curve, the moment associated with the temperature anomaly signal is taken as the determination moment, and the heat data associated with the determination moment is calibrated as RL1, and the heat data associated with the moment before the determination moment is calibrated as RL2, and RL1-RL2=TZ is used to determine the heat characteristic value TZ associated with the corresponding temperature anomaly signal (that is, the heat change value generated by the previous node in the corresponding change process);

[0052] Using TZ-change data=QQ, confirm the downward trend data QQ, using TZ-QQ×m≤0, confirm the maximum value of m, and m is a positive integer, based on the determined m, execute the first stage of the cooling process, so that the release rate of the lubricating coolant is increased by m units of the improvement parameter;

[0053] S33, identifying whether the heat data generated in real time by the actual change curve is higher than the previous set of heat data, if so, continuously increasing the release rate of the lubricating coolant, increasing the increase parameter by one unit per unit time, until the heat data generated in real time is no higher than the previous set of heat data, if not, executing step S34;

[0054] S34, based on whether the heat data associated with the actual change curve and the standard change curve at the same time meet the following conditions: (S k -B k )≥Y1:

[0055] If it still meets the requirement, then directly confirm the relevant difference: its relevant difference = S k -B k , and based on the confirmed downward trend data QQ, the relevant difference ÷QQ=DW is used to lock the adjustment value DW. If DW is not a positive integer, the positive integer DW is further processed and the processed value is used as the adjustment value DW, and the release rate of the lubricating coolant is again increased by DW units of the improvement parameter;

[0056] If it is not satisfied, just continue to monitor;

[0057] Specifically, by adopting this processing method, the corresponding heat can be effectively and accurately controlled so that the corresponding heat is within a controllable range, thereby achieving better processing effects and effectively avoiding errors in processing accuracy due to the inability to control heat.

[0058] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0059] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A boring and milling drilling machine automation control method, characterized in that: The following steps are involved: Step 1: Based on the preset workpiece model, confirm the corresponding processing parameters, and then based on the placed workpiece to be processed, confirm the solid model of the workpiece to be processed, and then lock the processing position of the workpiece to be processed through relevant confirmation analysis of the numerical values; Step 2: Based on the confirmed processing position, data monitoring is performed on the object to be processed in real time to confirm the actual change curve of the corresponding processing position, and then based on the standard parameters actually confirmed, a standard change curve of the corresponding processing position is generated, and the actual change curve generated in real time is compared with the standard change curve in real time to assess whether there is an abnormal temperature change, and a temperature abnormality signal is generated in real time. The specific sub-steps are as follows: S21. Based on the processing data associated with the processing process, confirm the processing speed and calibrate it as n. Then, based on the number of processing revolutions in the actual processing process and the associated processing time, confirm the real-time heat Q generated at the corresponding processing position, where Q=nqt, where q represents the number of processing revolutions and t represents the processing time. Based on the different real-time heat Q associated with different processing times, generate a heat change line of the corresponding processing position in real time. Then, based on the specific heat R absorbed by the cooling lubricant per unit time, generate an absorbed heat change line, where R is a preset value, and the heat change line and the absorbed heat change line are associated with the same coordinate system, where the horizontal coordinate axes are all time lines and the vertical coordinate axes are all heat data. Based on the confirmed heat change line and the absorbed heat change line, the two sets of change lines are placed in the same coordinate system, and then the different real-time heat Q and specific heat R corresponding to the same moment are processed by difference, and the differential heat at the same moment is confirmed. The differential heat = (QR), the coordinate point corresponding to the differential heat is determined in the coordinate system, and the differential heat associated with the coordinate point is calibrated as C i , where i represents different coordinate points; If C i <0, then move this coordinate point to the horizontal coordinate axis; Based on the coordinate points confirmed in real time, several groups of coordinate points are connected to confirm the standard change curve associated with the processing process; S22, monitor the temperature of the processing position in real time, and confirm the heat increase value in unit time based on the temperature change data in unit time, using Qs=mc×(temperature change data), the temperature change data=the temperature associated with the next moment-the temperature associated with the previous moment, where m and c are both preset data, based on the heat increase value Qs confirmed in real time, and confirm its actual change curve in real time; S23, compare the actual change curve with the standard change curve in real time: calibrate the heat data associated with the actual change curve as S k , the heat data associated with the standard change curve is calibrated as B k , where k represents different time points, based on the specific process of real-time monitoring, if there is (S k -B k )≥Y1, where Y1 is the preset value, then a temperature abnormality signal is directly generated; Step 3: Based on the confirmed temperature abnormality signal, the release rate of the lubricating coolant is adjusted in real time, and by analyzing the confirmed actual change curve and the standard change curve, the specific value of the release rate in each different stage is confirmed, and real-time regulation is performed.

2. The automatic control method for boring and milling drilling machine according to claim 1, characterized in that: In the step 1, the specific sub-steps of locking the processing position of the object to be processed are: S11, based on a preset workpiece model, confirming a processing area marked in the workpiece model, marking a preset center point in the workpiece model as a starting point, and synchronously obtaining a part of the model body to be removed based on the processing area, wherein the part of the model body is also a preset model, placing the part of the model body at an original position in the processing area, and marking a center point of the part of the model body as an end point, and confirming a set of spatial position vectors based on the spatial positions of the starting point and the end point; S12, confirming the surface image of the object to be processed, and generating a solid model of the object to be processed based on the confirmed multi-directional surface image, and confirming the internal center point of the solid model based on the constructed solid model, and based on the confirmed spatial position vector, combining the starting point of the spatial position vector with the internal center point, and confirming the specific processing position based on the specific position corresponding to the end point of the spatial position vector; S13, performing processing on the object to be processed based on the determined processing position and preset processing data.

3. The automatic control method for boring and milling drilling machine according to claim 1, characterized in that: In the step S23, if there is no (S k -B k ) ≥ Y1, continue monitoring.

4. The method for automatic control of a boring and milling drilling machine according to claim 1, characterized in that: In the step S21, if Ri≥0, no movement is performed.

5. The automatic control method for boring and milling drilling machine according to claim 1, characterized in that: In step 3, the specific sub-steps for real-time regulation of the release rate are: S31, based on the confirmed abnormal temperature signal, increasing the release rate of the lubricating coolant, and recording the increase value per unit time, where the increase value is a unit of increase parameter; Based on the actual change curve monitored, the change data of the same unit time is confirmed, and the change data = the heat data of the next moment - the heat data of the previous moment; S32, from the confirmed actual change curve, the moment associated with the abnormal temperature signal is taken as the determination moment, and the heat data associated with the determination moment is calibrated as RL1, and the heat data associated with the moment before the determination moment is calibrated as RL2, and RL1-RL2=TZ is used to determine the heat characteristic value TZ associated with the corresponding abnormal temperature signal; Using TZ-change data=QQ, confirm the downward trend data QQ, using TZ-QQ×m≤0, confirm the maximum value of m, and m is a positive integer, based on the determined m, execute the first stage of the cooling process, so that the release rate of the lubricating coolant is increased by m units of the improvement parameter; S33, identifying whether the heat data generated in real time by the actual change curve is higher than the previous set of heat data, if so, continuously increasing the release rate of the lubricating coolant, increasing the increase parameter by one unit per unit time, until the heat data generated in real time is no higher than the previous set of heat data, if not, executing step S34; S34, based on whether the heat data associated with the actual change curve and the standard change curve at the same time meet the following conditions: (S k -B k )≥Y1: If it still meets the requirements, directly confirm the relevant difference: The relevant difference = S k -B k , and based on the confirmed downward trend data QQ, the relevant difference ÷QQ=DW is used to lock the adjustment value DW. If DW is not a positive integer, the positive integer DW is further processed and the processed value is used as the adjustment value DW, and the release rate of the lubricating coolant is again increased by DW units of the improvement parameter.

6. The method for automatic control of a boring and milling drilling machine according to claim 5, characterized in that: In step S34, if the heat data does not meet the requirements (S k -B k ) ≥ Y1, then continuous monitoring is sufficient.

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