Automatic adjustment control system of machine tool

Abstract

The invention relates to the technical field of automatic control, in particular to a machine tool automatic adjustment control system which comprises a material analysis adjustment module, an environment adaptation adjustment module, a machining vibration compensation module and a machining energy efficiency management module. By monitoring and analyzing the running state of the machine tool in real time and adjusting the machine tool parameters based on historical machining data, the machine tool can automatically adjust the cutting speed and the feeding rate according to the physical characteristics of different materials, the machining efficiency is optimized, the machining quality of the workpiece surface is improved, the machine tool setting is adjusted according to the workshop environment change, and the machining efficiency is improved. The stability of the machining process and the quality of a workpiece are guaranteed, machining errors caused by vibration of the machine tool or the workpiece are reduced through real-time analysis and compensation of vibration data, the machining precision is kept, the energy utilization efficiency is improved through real-time monitoring and optimization of energy consumption of the machine tool, the production cost is reduced, and the production efficiency is improved. And the whole production process is more economical and environment-friendly.

Description

Technical Field

[0001] The invention relates to the technical field of automatic control, in particular to an automatic adjustment control system for a machine tool. Background Art

[0002] The field of automatic control technology involves the use of various control systems to operate equipment, machinery or processes to reduce human intervention and improve accuracy and efficiency. Automatic control systems are based on feedback mechanisms and can adjust their operations in real time to process environmental changes. In modern manufacturing and industrial automation, automatic control technology is a core component and is widely used in robotic arms, production lines, and traffic control systems. Automatic control technology relies on sensors to collect data, process data through control algorithms, and finally implement control instructions through actuators, aiming to improve system response speed, stability, and automation.

[0003] Among them, the machine tool automatic adjustment control system is a system specifically used to automatically adjust the machine tool equipment parameters to adapt to processing requirements. The main purpose of the system is to optimize the operation process of the machine tool to ensure processing quality and efficiency. By real-time monitoring of the machine tool status and key parameters in the processing process, such as cutting speed, feed rate and cutting depth, the control system can automatically adjust to adapt to changes in material properties or achieve a predetermined processing accuracy. Through automatic adjustment, human intervention is reduced, and production efficiency and product consistency are improved.

[0004] Traditional control systems lack sensitivity and adaptability to environmental changes. For example, when a machine tool works in different temperature and humidity environments, the traditional control system fails to effectively adjust parameters to adapt to environmental changes, which can lead to reduced processing accuracy or affected workpiece quality. When dealing with vibration problems that occur during processing, traditional systems lack effective real-time monitoring and automatic compensation mechanisms, resulting in insufficient accuracy during processing. In terms of energy consumption management, traditional systems fail to optimize energy efficiency, resulting in energy waste and increased production costs. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose an automatic adjustment control system for a machine tool.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a machine tool automatic adjustment control system, the system comprising: The material analysis and adjustment module adjusts the cutting speed and feed rate parameters of the machine tool based on the historical processing data of the machine tool and the material characteristics and processing requirements of the material to be processed, optimizes the cutting efficiency and surface treatment quality of the workpiece, and generates the optimal configuration of cutting parameters; The environmental adaptation adjustment module collects machine tool workshop environmental data based on the cutting parameter optimization configuration, adjusts the machine tool cutting speed according to the ambient temperature and humidity, and adjusts the supply amount and supply frequency of the cutting fluid to obtain the environmental impact adjustment parameters; The machining vibration compensation module is combined with the environmental adaptation configuration to collect vibration data of the workpiece in real time during machining through vibration sensors, analyze the frequency and amplitude of the vibration, evaluate the overall intensity of the vibration, adjust the cutting speed and cutting feed rate of the machine tool, compensate for the vibration influence during machining, and obtain vibration compensation information; Based on the vibration compensation information, the processing energy efficiency management module monitors the energy consumption data and production efficiency of the machine tool during the processing, evaluates the energy efficiency of the machine tool during the processing, adjusts the operating power of the machine tool, optimizes the efficiency of the machine tool, and adjusts the start and stop of differentiated functional components of the machine tool according to processing requirements, reduces invalid operating time, and obtains energy efficiency optimization configuration.

[0007] The present invention is improved in that the step of obtaining the cutting parameter optimization configuration is: Based on the historical processing data of the machine tool, the characteristic data of the material to be processed is collected, and the characteristic data includes the hardness and thermal conductivity of the material; Based on the characteristic data and processing requirements, the formula is:

[0008]

[0009] Calculate the cutting speed of the machine tool and the machine tool feed rate , get the optimal configuration of cutting parameters; in, Indicates the cutting speed of the machine tool. is the adjustment coefficient, is the cutting speed constant of the material, is the cutting diameter, is the hardness influence coefficient, is the hardness of the material, is the base of natural logarithms, Indicates the feed rate of the machine tool, is the base feed rate, is the thermal conductivity adjustment coefficient, is the thermal conductivity of the material, For reference thermal conductivity, is the hardness adjustment coefficient, is the minimum hardness threshold.

[0010] The present invention is improved in that the method for adjusting the cutting speed of the machine tool is: Based on the machine tool workshop environment, collect environmental temperature and humidity data to obtain an environmental data set; Based on the environmental data set, the formula:

[0011] Calculate the adjusted cutting speed , get the cutting speed adjustment result; in, is the initial cutting speed, is the ambient temperature, is the ambient humidity, and are the reference temperature and reference humidity, and are the maximum safety thresholds for temperature and humidity, and is the adjustment factor, is the adjusted cutting speed.

[0012] The present invention is improved in that the step of obtaining the environmental impact adjustment parameter is: Based on the environmental data set, according to the safety standards of the machine tool equipment manufacturer, obtaining maximum safety thresholds of temperature and humidity; Based on the maximum safety threshold of temperature and humidity, by the formula:

[0013]

[0014] Calculate the supply amount of cutting fluid and supply frequency , and combined with the adjusted cutting speed , get the environmental impact adjustment parameters; in, is the standard supply, is the standard supply frequency, is the ambient temperature, is the ambient humidity, The optimal temperature for cutting fluid supply, Provides optimal humidity for cutting fluid, is the maximum safety threshold of temperature, is the maximum safe threshold of humidity, is the temperature regulation coefficient, is the humidity adjustment factor.

[0015] The present invention is improved in that the method for evaluating the overall intensity of vibration is: During the machining process of the workpiece, the vibration frequency and vibration amplitude of the workpiece are monitored in real time by a vibration sensor to obtain a vibration data set; Based on the vibration data set, the formula:

[0016] Calculating vibration intensity , according to the vibration intensity The value is used to evaluate the overall vibration intensity; in, For the The vibration frequency of the sampling points, is the vibration amplitude array, is the weight coefficient, is the weighting factor of the vibration amplitude, is the regulating factor, is the maximum value in the vibration amplitude array, is the vibration intensity.

[0017] The present invention is improved in that the step of obtaining the vibration compensation information is: Based on the vibration intensity , through the formula:

[0018]

[0019] Calculate the cutting speed after compensation And the cutting feed after compensation ; in, is the current cutting speed, is the current cutting feed rate, is the attenuation coefficient, is the adjustment coefficient, is the adjustment parameter of the vibration intensity increase. Parameters for adjusting the cutting feed rate. is the vibration intensity, is the cutting speed after compensation, is the cutting feed after compensation; Cutting speed after the compensation is implemented And the cutting feed after compensation , compensate for the vibration influence during the processing and obtain vibration compensation information.

[0020] The present invention is improved in that the method for evaluating the energy efficiency of a machine tool during a machining process is: Collect energy consumption and production data, monitor the energy consumption data and production output data of machine tools during processing, and obtain energy consumption related data; Based on the energy consumption related data, through the formula:

[0021] Calculating the energy efficiency of tool machines , and according to the energy efficiency of machine tools The size of the machine tool is used to evaluate the overall energy efficiency of the machine tool; in, For energy consumption data, Output data for production, is the adjustment factor of energy consumption, is the gain coefficient, For machine tool energy efficiency.

[0022] The present invention is improved in that the steps of obtaining the energy efficiency optimization configuration are: Based on the energy efficiency of the machine tool , through the formula:

[0023] Calculate the adjusted operating power; in, is the current operating power of the machine tool, For the target energy efficiency, is the current machine tool energy efficiency, is the power adjustment factor, is the stabilizing factor, is the adjusted machine tool operating power; The adjusted machine tool operating power is implemented, and the start and stop of differentiated functional components of the machine tool are adjusted to obtain an energy efficiency optimized configuration.

[0024] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by real-time monitoring and analysis of the operating status of the machine tool, the machine tool parameters are adjusted based on historical processing data, so that the machine tool can automatically adjust the cutting speed and feed rate according to the physical properties of different materials, optimize the processing efficiency, and improve the processing quality of the workpiece surface. The machine tool settings are adjusted according to changes in the workshop environment to ensure the stability of the processing process and the quality of the workpiece. Through real-time analysis and compensation of vibration data, the processing error caused by the vibration of the machine tool or the workpiece is reduced, and the processing accuracy is maintained. Through real-time monitoring and optimization of the energy consumption of the machine tool, the energy utilization efficiency is improved, the production cost is reduced, and the entire production process is more economical and environmentally friendly. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a system flow chart of the present invention; Figure 2 A flow chart for obtaining an optimized configuration of cutting parameters for the present invention; Figure 3 A flow chart for adjusting the cutting speed of a machine tool according to the present invention; Figure 4A flow chart for obtaining environmental impact adjustment parameters for the present invention; Figure 5 A flow chart for evaluating the overall intensity of vibration for the present invention; Figure 6 A flow chart of obtaining vibration compensation information according to the present invention; Figure 7 A flow chart for evaluating the energy efficiency of a machine tool during a machining process for the present invention; Figure 8 A flow chart for obtaining an energy efficiency optimization configuration for the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0027] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0028] Example

[0029] See also Figure 1 The present invention provides a technical solution: a machine tool automatic adjustment control system, the system comprising: The material analysis and adjustment module adjusts the cutting speed and feed rate parameters of the machine tool based on the historical processing data of the machine tool and the material characteristics and processing requirements of the material to be processed, optimizes the cutting efficiency and surface treatment quality of the workpiece, and generates the optimal configuration of cutting parameters; The environmental adaptation adjustment module collects machine tool workshop environmental data based on cutting parameter optimization configuration, and adjusts the machine tool cutting speed according to the ambient temperature and humidity, including reducing the cutting speed under high temperature conditions to prevent workpiece deformation, and adjusts the supply amount and supply frequency of the cutting fluid to obtain environmental impact adjustment parameters; The machining vibration compensation module is combined with the environmental adaptation configuration to collect vibration data of the workpiece in real time during machining through vibration sensors, analyze the frequency and amplitude of the vibration, evaluate the overall intensity of the vibration, adjust the cutting speed and cutting feed rate of the machine tool, compensate for the vibration influence during machining, and obtain vibration compensation information; The processing energy efficiency management module monitors the energy consumption data and production efficiency of the machine tool during the processing based on the vibration compensation information, evaluates the energy efficiency of the machine tool during the processing, adjusts the operating power of the machine tool, optimizes the efficiency of the machine tool, and adjusts the start and stop of the differentiated functional components of the machine tool according to the processing requirements, reduces the invalid operation time, and obtains the energy efficiency optimization configuration; The cutting parameter optimization configuration includes the optimized cutting speed and feed rate, the environmental impact adjustment parameters include the adjusted cutting speed, cutting fluid supply amount and supply frequency, the vibration compensation information includes the cutting speed compensation value and the cutting feed compensation value, and the energy efficiency optimization configuration includes operating power adjustment and functional component start and stop strategies.

[0030] See also Figure 2 , the steps to obtain the optimal configuration of cutting parameters are: Based on the historical processing data of the machine tool, the characteristic data of the material to be processed is collected, and the characteristic data includes the hardness and thermal conductivity of the material; Based on the characteristic data and processing requirements, the formula is:

[0031]

[0032] Calculate the cutting speed of the machine tool and the machine tool feed rate , get the optimal configuration of cutting parameters; in, Indicates the cutting speed of the machine tool. is the adjustment coefficient, is the cutting speed constant of the material, is the cutting diameter, is the hardness influence coefficient, is the hardness of the material, is the base of natural logarithms, Indicates the feed rate of the machine tool, is the base feed rate, is the thermal conductivity adjustment coefficient, is the thermal conductivity of the material, For reference thermal conductivity, is the hardness adjustment coefficient, is the minimum hardness threshold.

[0033] formula:

[0034] Parameter details and how to obtain them: : Adjustment factor, which depends on the characteristics of the machine tool and the material being machined. It is usually determined experimentally or obtained from the technical manual provided by the manufacturer.

[0035] : The cutting speed constant of the material is an empirical value, usually obtained from engineering manuals or material supplier data based on the material type (such as aluminum, steel).

[0036] : Cutting diameter, measured directly from the specifications of the workpiece being machined.

[0037] : Hardness influence coefficient, an empirical adjustment value based on the influence of material hardness on cutting speed, obtained through material testing and historical processing data analysis.

[0038] : Material hardness, obtained through material testing or data provided by suppliers.

[0039] Calculation example: Assume the following parameters: , RPM, mm, , .

[0040] Use the formula:

[0041]

[0042]

[0043]

[0044]

[0045] result It means the actual cutting speed after considering the influence of material hardness.

[0046] formula:

[0047] Parameter details and how to obtain them: : Base feed rate, determined empirically based on the machine tool design and material type, usually obtained from the machine tool operator's manual.

[0048] : Thermal conductivity adjustment factor, empirically adjusted based on the effect of material thermal conductivity on feed rate, obtained through material testing and historical data analysis.

[0049] : Material thermal conductivity, which can be obtained through material testing or from the technical data sheet provided by the material supplier.

[0050] : Reference thermal conductivity is a standard thermal conductivity value preset based on specific processing conditions, usually determined by industry standards.

[0051] : Hardness adjustment coefficient, adjusted according to the sensitivity of feed rate to hardness and determined through experiments.

[0052] : Minimum hardness threshold, which is the lower hardness limit set for feed rate calculation and is determined by material properties.

[0053] Calculation example: Assume the parameters are set as follows: mm / rev, , W / (m·K), W / (m·K) , , .

[0054] Use the formula:

[0055]

[0056]

[0057]

[0058]

[0059] The result 1.337 mm / rev represents the adjusted feed rate.

[0060] See also Figure 3 , the method to adjust the cutting speed of the machine tool is: Based on the machine tool workshop environment, collect environmental temperature and humidity data to obtain an environmental data set; Based on the environmental data set, through the formula:

[0061] Calculate the adjusted cutting speed , get the cutting speed adjustment result; in, is the initial cutting speed, is the ambient temperature, is the ambient humidity, and are the reference temperature and reference humidity, and are the maximum safety thresholds for temperature and humidity, and is the adjustment factor, is the adjusted cutting speed.

[0062] formula:

[0063] Parameter details and how to obtain them: : Basic cutting speed, usually set by the machine tool manufacturer or based on empirical data of specific processing materials, can be represented by the cutting parameter optimization configuration calculated in the previous step.

[0064] : Ambient temperature is monitored in real time by temperature sensors installed in the workshop.

[0065] : Ambient humidity is also monitored in real time through humidity sensors in the workshop.

[0066] : Reference temperature, usually set to the average temperature or ideal working temperature of the workshop, can be obtained from the historical environmental data of the workshop.

[0067] : Reference humidity, set to the average humidity of the workshop or the ideal working humidity, based on historical data.

[0068] and : The maximum safety thresholds of temperature and humidity are set based on the operational safety standards of the machine tool and the thermal stability indicators of the material, which can be obtained from relevant safety regulations or material science literature.

[0069] and : It is the adjustment coefficient for the influence of temperature and humidity on cutting speed. It is obtained through regression analysis of historical processing data to ensure that the impact of environmental changes on processing quality is minimized. It can also be preset by experts.

[0070] Calculation example: Assume the following parameters: RPM, ambient temperature , ambient humidity , reference temperature , reference humidity , the maximum safety threshold of temperature , maximum safe humidity threshold , adjustment coefficient and .

[0071] Calculate the adjusted cutting speed :

[0072]

[0073]

[0074]

[0075]

[0076]

[0077] Calculation results This means that under the current environmental conditions, the basic cutting speed should be appropriately reduced to prevent workpiece deformation or other processing problems caused by excessive temperature and humidity.

[0078] See also Figure 4 , the steps to obtain the environmental impact adjustment parameters are: Based on the environmental data set, the maximum safety thresholds of temperature and humidity are obtained according to the safety standards of the machine tool equipment manufacturer; The maximum safety threshold based on temperature and humidity is calculated by the formula:

[0079]

[0080] Calculate the supply amount of cutting fluid and supply frequency , combined with the adjusted cutting speed , get the environmental impact adjustment parameters; in, is the standard supply, is the standard supply frequency, is the ambient temperature, is the ambient humidity, The optimal temperature for cutting fluid supply, Provides optimal humidity for cutting fluid, is the maximum safety threshold of temperature, is the maximum safe threshold of humidity, is the temperature regulation coefficient, is the humidity adjustment factor.

[0081] formula:

[0082]

[0083] Parameter details and how to obtain them: : Standard supply volume, usually set based on the workshop's standard operating conditions and historical data, to ensure that the cutting fluid flow rate is optimal under controlled conditions.

[0084] : Standard supply frequency, also determined based on historical operating data and workshop best practices, is used to provide the optimal cutting fluid supply frequency under standard conditions.

[0085] : Ambient temperature is monitored in real time by temperature sensors installed in the workshop, reflecting the temperature conditions of the current working environment.

[0086] :Ambient humidity is monitored in real time by humidity sensors in the workshop, providing the humidity level of the current environment.

[0087] , : The optimal temperature and humidity of the cutting fluid supply, which are set based on the workshop's past optimal operating records and manufacturer's recommended values.

[0088] , : Maximum safety thresholds for temperature and humidity, set according to the equipment manufacturer’s safety standards and material handling requirements, to ensure operations are performed under safe environmental conditions.

[0089] , : Temperature and humidity adjustment coefficients, which are adjusted through analysis of historical data and regression testing to optimize the sensitivity of the cutting fluid's response to environmental changes.

[0090] Calculation example: Assumptions: mL / time (based on workshop standards), Times / minute (based on workshop standards), (measure the current temperature), (measure the current humidity), , , , , , .

[0091] Calculate the adjusted cutting fluid supply and supply frequency :

[0092]

[0093]

[0094]

[0095]

[0096]

[0097]

[0098]

[0099]

[0100]

[0101]

[0102] The calculation results show that the adjusted supply volume and supply frequency are slightly increased to adapt to the higher ambient temperature and humidity, ensuring that the cutting fluid can effectively cool and lubricate, thereby maintaining the stability of the machining process and the machining quality of the workpiece.

[0103] See also Figure 5 , the method to evaluate the overall intensity of vibration is: During the machining process of the workpiece, the vibration frequency and vibration amplitude of the workpiece are monitored in real time by a vibration sensor to obtain a vibration data set; Based on the vibration data set, the formula:

[0104] Calculating vibration intensity , according to the vibration intensity The size of the value is used to evaluate the overall vibration intensity; in, For the The vibration frequency of the sampling points, is the vibration amplitude array, is the weight coefficient, is the weighting factor of the vibration amplitude, is the regulating factor, is the maximum value in the vibration amplitude array, is the vibration intensity.

[0105] formula:

[0106] Parameter details and how to obtain them: : No. The vibration frequency of each sampling point is usually collected in real time by a vibration sensor during the machining process, reflecting the vibration characteristics of the machine tool at a specific operation stage.

[0107] : Vibration amplitude array, containing the vibration amplitude of each sampling point in the same time series, provided by the same vibration sensor.

[0108] : The weight coefficients for different frequency components are set according to the different effects of frequency on machine tool performance and machining accuracy, and are usually determined through historical data analysis and experiments.

[0109] : Weighting factor for vibration amplitude, increasing the influence of large amplitude values ​​in the overall evaluation, usually set based on the sensitivity of the workpiece material and machining type.

[0110] : Adjustment factor, used to balance the contribution of frequency terms and ensure the reasonable influence of vibration frequency on the evaluation results under different operating conditions. The parameters are obtained based on experiments and data analysis.

[0111] : The maximum value in the vibration amplitude array, with special emphasis on the peak value that appears in the vibration data, and its calculation is directly obtained from the vibration amplitude array.

[0112] Calculation example: Assume the following parameters: Vibration frequency sample Hz, corresponding vibration amplitude samples mm, weight coefficient , weighting factor , the regulating factor .

[0113] Calculate vibration intensity using the formula :

[0114]

[0115]

[0116]

[0117]

[0118]

[0119]

[0120]

[0121] result It means that under given vibration conditions, the overall vibration intensity of the machine tool is 229.78. The numerical value helps to understand the potential impact of vibration on the operational stability of the machine tool.

[0122] See also Figure 6 , the steps for obtaining vibration compensation information are: Based on vibration intensity , through the formula:

[0123]

[0124] Calculate the cutting speed after compensation And the cutting feed after compensation ; in, is the current cutting speed, is the current cutting feed rate, is the attenuation coefficient, is the adjustment coefficient, is the adjustment parameter of the vibration intensity increase. Parameters for adjusting the cutting feed rate. is the vibration intensity, is the cutting speed after compensation, is the cutting feed after compensation; Cutting speed after compensation And the cutting feed after compensation , compensate for the vibration influence during the processing and obtain vibration compensation information.

[0125] formula:

[0126]

[0127] Parameter details and how to obtain them: :The current cutting speed is set based on the processing requirements of specific materials and workpieces. It can be directly obtained from the machine tool operation manual or processing parameter table, or it can be the cutting speed adjusted for environmental influences.

[0128] : The current cutting feed rate is also obtained from the relevant operating parameter table based on the processing material and the expected processing quality.

[0129] : The attenuation coefficient of the effect of vibration on cutting speed is obtained through experimental data analysis and is used to adjust the effect of vibration intensity on the speed.

[0130] : The adjustment coefficient of the influence of vibration on cutting feed rate is determined based on the observation and experimental results of the machining effect under different vibration intensities.

[0131] : The adjustment parameter of the vibration intensity increase is used to adjust the speed attenuation curve under high vibration intensity, which is determined through simulation and experiments.

[0132] : Parameters for cutting feed adjustment to help smooth regulation under high vibration conditions, determined through experimental data analysis.

[0133] : Vibration intensity, calculated in the previous step.

[0134] Calculation example: Assume the following parameters: RPM, represents the current cutting speed.

[0135] mm / rev, represents the current feed rate.

[0136] , which indicates the attenuation intensity of the influence of vibration on the rotation speed.

[0137] , which indicates the regulation intensity of the influence of vibration on feed amount.

[0138] , vibration amplitude adjustment parameter, used for speed attenuation.

[0139] , vibration amplitude adjustment parameter, used for feed rate adjustment.

[0140] , indicating the vibration intensity.

[0141] Calculate the cutting speed after compensation and cutting feed :

[0142]

[0143]

[0144]

[0145]

[0146]

[0147]

[0148]

[0149]

[0150]

[0151] The calculation results show that after considering the influence of vibration intensity, both the cutting speed and feed rate need to be reduced accordingly to ensure machining quality and equipment safety. The adjusted speed is significantly reduced to reduce the potential negative impact caused by vibration, while the slight adjustment of feed rate is to optimize the machining process and reduce the adverse effects of vibration.

[0152] See also Figure 7 , the method to evaluate the energy efficiency of machine tools during processing is: Collect energy consumption and production data, monitor the energy consumption data and production output data of machine tools during processing, and obtain energy consumption related data; Based on the energy consumption related data, through the formula:

[0153] Calculating the energy efficiency of tool machines , and according to the energy efficiency of machine tools The size of the machine tool is used to evaluate the overall energy efficiency of the machine tool; in, For energy consumption data, Output data for production, is the adjustment factor of energy consumption, is the gain coefficient, For machine tool energy efficiency.

[0154] formula:

[0155] Parameter details and how to obtain them: : Energy consumption data recorded during the machining process, usually including electricity consumption. The parameters are collected in real time through the energy consumption monitoring of the machine tool, reflecting the total energy consumed by the machine tool during the machining process.

[0156] : The production output data of the machine tool during the same period as the energy consumption, such as the number of processed parts or the total amount of completed tasks. This data is obtained through the production monitoring system and is used to evaluate the production efficiency of the machine tool.

[0157] : Energy consumption adjustment coefficient, used to correct the impact of energy consumption on energy efficiency. The parameter is based on historical data analysis and experiments, and is used to accurately adjust the sensitivity of energy consumption to energy efficiency evaluation.

[0158] : Logarithmic gain coefficient, used to enhance the sensitivity of high energy consumption conditions in energy efficiency calculations. The coefficient is determined by regression analysis of energy efficiency data under different production conditions, and is intended to highlight the change in efficiency when energy consumption increases.

[0159] Calculation example: Assume the following parameters: Kilowatt-hour (kWh), represents the total energy consumption during a specific production cycle. Unit product represents the number of products completed in the same production cycle. , energy consumption adjustment coefficient, reflects the sensitivity of the impact of increased energy consumption on efficiency. , the logarithmic gain coefficient is used to enhance the sensitivity of energy efficiency under large energy consumption values.

[0160] Calculating the energy efficiency of tool machines :

[0161]

[0162]

[0163]

[0164]

[0165]

[0166]

[0167]

[0168] Calculation results It means that about 2.12 units of products can be produced for every unit of energy consumed, which shows the relationship between the production efficiency and energy consumption of machine tools.

[0169] See also Figure 8 , the steps to obtain the energy efficiency optimization configuration are: Based on machine tool energy efficiency , through the formula:

[0170] Calculate the adjusted operating power; in, is the current operating power of the machine tool, For the target energy efficiency, is the current machine tool energy efficiency, is the power adjustment factor, is the stabilizing factor, is the adjusted machine tool operating power; Implement the adjusted machine tool operating power, and adjust the start and stop of the differentiated functional components of the machine tool to obtain energy efficiency optimization configuration.

[0171] formula:

[0172] Parameter details and how to obtain them: : The current operating power of the machine tool is usually obtained directly from the machine tool's operating system or energy consumption monitoring system. This parameter shows the standard power output of the machine tool before evaluation.

[0173] : Target energy efficiency ratio, which is a desired energy efficiency ratio based on industry standards and specific production efficiency goals, which can be set by comparing similar equipment and processes.

[0174] : The energy efficiency of the current machine tool, obtained through the previous steps : Power adjustment coefficient, which is set according to the equipment responsiveness and the adjustment flexibility of the production line to balance the range of power adjustment.

[0175] : Stability factor, used to mitigate the sharp fluctuations that may occur during power adjustment, usually determined based on past production data and machine tool performance adjustments.

[0176] Calculation example: Assume that the current and target parameters of the machine tool are as follows: Kilowatt (kW) is the standard operating power of a machine tool before adjustment.

[0177] , the target energy efficiency ratio set by industry standards.

[0178] , current energy efficiency ratio.

[0179] , used to adjust the coefficient of machine tool power.

[0180] , a stabilization factor, used to prevent large fluctuations during adjustments.

[0181] Calculate the adjusted machine operating power :

[0182]

[0183]

[0184]

[0185]

[0186]

[0187] Calculation results It means that the adjusted operating power is slightly higher than the original power, aiming to improve the energy efficiency of the machine tool to close to the target level.

[0188] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. Automatic adjustment control system for machine tools, characterized in that: The system comprises: The material analysis and adjustment module adjusts the cutting speed and feed rate parameters of the machine tool based on the historical processing data of the machine tool, according to the material characteristics and processing requirements of the material to be processed, optimizes the cutting efficiency and surface treatment quality of the workpiece, and generates the optimal configuration of cutting parameters; The environmental adaptation adjustment module collects machine tool workshop environmental data based on the cutting parameter optimization configuration, adjusts the machine tool cutting speed according to the ambient temperature and humidity, and adjusts the supply amount and supply frequency of the cutting fluid to obtain the environmental impact adjustment parameters; The machining vibration compensation module is combined with the environmental adaptation configuration to collect vibration data of the workpiece in real time during machining through vibration sensors, analyze the frequency and amplitude of the vibration, evaluate the overall intensity of the vibration, adjust the cutting speed and cutting feed rate of the machine tool, compensate for the vibration influence during machining, and obtain vibration compensation information; Based on the vibration compensation information, the processing energy efficiency management module monitors the energy consumption data and production efficiency of the machine tool during the processing, evaluates the energy efficiency of the machine tool during the processing, adjusts the operating power of the machine tool, optimizes the efficiency of the machine tool, and adjusts the start and stop of differentiated functional components of the machine tool according to processing requirements, reduces invalid operating time, and obtains energy efficiency optimization configuration.

2. The machine tool automatic adjustment control system according to claim 1, characterized in that: The steps for obtaining the cutting parameter optimization configuration are: Based on the historical processing data of the machine tool, the characteristic data of the material to be processed is collected, and the characteristic data includes the hardness and thermal conductivity of the material; Based on the characteristic data and processing requirements, the formula is: ； ； Calculate the cutting speed of the machine tool and the machine tool feed rate , get the optimal configuration of cutting parameters; in, Indicates the cutting speed of the machine tool. is the adjustment coefficient, is the cutting speed constant of the material, is the cutting diameter, is the hardness influence coefficient, is the hardness of the material, is the base of natural logarithms, Indicates the feed rate of the machine tool, is the base feed rate, is the thermal conductivity adjustment coefficient, is the thermal conductivity of the material, For reference thermal conductivity, is the hardness adjustment coefficient, is the minimum hardness threshold.

3. The machine tool automatic adjustment control system according to claim 1, characterized in that: The method for adjusting the cutting speed of the machine tool is: Based on the machine tool workshop environment, collect environmental temperature and humidity data to obtain an environmental data set; Based on the environmental data set, the formula: ； Calculate the adjusted cutting speed , get the cutting speed adjustment result; in, is the initial cutting speed, is the ambient temperature, is the ambient humidity, and are the reference temperature and reference humidity, and are the maximum safety thresholds for temperature and humidity, and is the adjustment factor, is the adjusted cutting speed.

4. The machine tool automatic adjustment control system according to claim 3, characterized in that: The steps for obtaining the environmental impact adjustment parameters are: Based on the environmental data set, according to the safety standards of the machine tool equipment manufacturer, obtaining maximum safety thresholds of temperature and humidity; Based on the maximum safety threshold of temperature and humidity, by the formula: ； ； Calculate the supply amount of cutting fluid and supply frequency , and combined with the adjusted cutting speed , get the environmental impact adjustment parameters; in, is the standard supply, is the standard supply frequency, is the ambient temperature, is the ambient humidity, The optimal temperature for cutting fluid supply, Provides optimal humidity for cutting fluid, is the maximum safety threshold of temperature, is the maximum safe threshold of humidity, is the temperature regulation coefficient, is the humidity adjustment factor.

5. The machine tool automatic adjustment control system according to claim 1, characterized in that: The method for evaluating the overall intensity of vibration is: During the machining process of the workpiece, the vibration frequency and vibration amplitude of the workpiece are monitored in real time by a vibration sensor to obtain a vibration data set; Based on the vibration data set, the formula: ； Calculating vibration intensity , according to the vibration intensity The size of the value is used to evaluate the overall vibration intensity; in, For the The vibration frequency of the sampling points, is the vibration amplitude array, is the weight coefficient, is the weighting factor of the vibration amplitude, is the regulating factor, is the maximum value in the vibration amplitude array, is the vibration intensity.

6. The machine tool automatic adjustment control system according to claim 5, characterized in that: The steps of obtaining the vibration compensation information are as follows: Based on the vibration intensity , through the formula: ； ； Calculate the cutting speed after compensation And the cutting feed after compensation ; in, is the current cutting speed, is the current cutting feed rate, is the attenuation coefficient, is the adjustment coefficient, is the adjustment parameter of the vibration intensity increase. Parameters for adjusting the cutting feed rate. is the vibration intensity, is the cutting speed after compensation, is the cutting feed after compensation; Cutting speed after the compensation is implemented And the cutting feed after compensation , compensate for the vibration influence during the processing and obtain vibration compensation information.

7. The machine tool automatic adjustment control system according to claim 1, characterized in that: The method for evaluating the energy efficiency of a machine tool during machining is: Collect energy consumption and production data, monitor the energy consumption data and production output data of machine tools during processing, and obtain energy consumption related data; Based on the energy consumption related data, through the formula: ； Calculating the energy efficiency of tool machines , and according to the energy efficiency of machine tools The size of the machine tool is used to evaluate the overall energy efficiency of the machine tool; in, For energy consumption data, Output data for production, is the adjustment factor of energy consumption, is the gain coefficient, For machine tool energy efficiency.

8. The machine tool automatic adjustment control system according to claim 7, characterized in that: The steps for obtaining the energy efficiency optimization configuration are: Based on the energy efficiency of the machine tool , through the formula: ； Calculate the adjusted operating power; in, is the current operating power of the machine tool, For the target energy efficiency, is the current machine tool energy efficiency, is the power adjustment factor, is the stabilizing factor, is the adjusted machine tool operating power; The adjusted machine tool operating power is implemented, and the start and stop of differentiated functional components of the machine tool are adjusted to obtain an energy efficiency optimized configuration.

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