Cutting fluid automatic proportioning control system

Abstract

The invention relates to the technical field of automatic control, in particular to an automatic cutting fluid proportioning control system which comprises a flow control module, a delay compensation module, a dynamic adjusting module and a dynamic flow adjusting module. According to the invention, the flow and proportion of the cutting fluid are accurately adjusted, so that the requirements of different production stages are met, the use efficiency of the cutting fluid and the processing quality stability are improved, parameters such as the flow and the temperature are monitored in real time, the flow and the proportion are dynamically adjusted, instability caused by environmental fluctuation or equipment response lag is reduced, accurate supply of the cutting fluid is ensured, and the production efficiency is improved. Aiming at variable production requirements, environment changes are rapidly responded, a matching strategy is automatically optimized, machining errors and equipment abrasion caused by matching imbalance are effectively avoided, the improved control strategy improves the cutting fluid utilization rate, it is guaranteed that the machining quality and the equipment service life are synchronously prolonged, resource waste is reduced, meanwhile, the manual intervention requirement and the operation complexity are reduced, and the production efficiency is improved. And the overall production efficiency and the system stability are improved.

Description

Technical Field

[0001] The invention relates to the technical field of automatic control, and in particular to an automatic proportioning control system for cutting fluid. Background Art

[0002] The field of automation control technology refers to the use of control theory, control systems and automation equipment to achieve automated regulation and optimization of industrial production processes. This field covers a variety of control methods, such as feedback control, feedforward control, fuzzy control and dynamic control, and is widely used in machinery manufacturing, chemical, electric power, energy, transportation and other industries. The core goal of automation control is to improve production efficiency, reduce labor costs, improve system accuracy and stability, and optimize the use of resources. Modern automation control technology uses sensors, actuators, computer systems and artificial intelligence to monitor and adjust various parameters in complex production processes in real time, so as to achieve the purpose of precise control and optimized operation. With the integration of intelligent and digital technologies, automation control technology is developing towards a higher level of intelligence, remoteness and networking.

[0003] Among them, the automatic ratio control system for cutting fluid belongs to the field of automation control technology, and is mainly used for the precise ratio and regulation of cutting fluid in industrial production. The system automatically monitors and adjusts the ratio of cutting fluid to additives or chemicals to ensure the best cooling, lubrication and cleaning effects during the processing. Its purpose is to improve the efficiency and quality of metal processing, reduce material waste, and ensure process consistency and long-term stability of equipment. The automatic ratio control system can be widely used in the management of cutting fluids for CNC machine tools, lathes, milling machines, grinders and other equipment.

[0004] The existing technology is adjusted based on preset ratio parameters, ignoring real-time environmental changes and dynamic factors in the production process. Its fixed ratio and flow setting are not suitable for complex production conditions, resulting in reduced processing accuracy or excessive wear of equipment. For example, when the flow of cutting fluid fails to respond to changes in temperature or pressure in a timely manner, it causes reduced cutting efficiency or damage to the surface quality of the workpiece, which in turn affects the overall production efficiency. The control feedback delay and response time in the existing technology are long, so that the system cannot be adjusted quickly when the equipment status or process conditions change, resulting in difficulty in ensuring accuracy and stability. Due to the poor adaptability of the system to the environment, it often relies on manual intervention for real-time adjustment, which increases labor costs and operational complexity, and also limits the intelligence of the system. 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 proportioning control system for cutting fluid.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: a cutting fluid automatic proportioning control system comprises:

[0007] The flow control module is based on the cutting fluid production needs, divides the production into multiple stages, selects flow regulators, temperature monitoring devices, and concentration sensors, monitors cutting fluid data, obtains real-time data on cutting fluid flow regulation, compares the deviation between the set value and the real-time value, regulates the flow through the flow control valve, and generates a cutting fluid flow feedback regulation strategy;

[0008] The delay compensation module is based on the cutting fluid flow feedback regulation strategy, analyzes the equipment response and information transmission delay, uses the flow meter and pressure regulation hysteresis effect, calculates the compensation amount to correct the control signal, obtains the delay compensation signal, adjusts the adjustment timing and amplitude of the cutting fluid flow, and generates the flow regulation delay compensation control result;

[0009] The dynamic adjustment module detects environmental changes in real time based on the flow adjustment delay compensation control result, automatically adjusts the flow regulator parameters, optimizes the ratio control, generates a dynamic adjustment strategy, corrects the cutting fluid ratio according to the real-time needs of the differentiated production stage, and generates an optimized cutting fluid ratio result;

[0010] The dynamic flow adjustment module is based on the optimized cutting fluid ratio result, monitors real-time data through a feedback loop, adjusts the flow rate in combination with a temperature sensor and a control valve, responds to environmental changes, adjusts the flow rate and concentration, adjusts the cutting fluid ratio, and generates an optimized cutting fluid flow control plan.

[0011] As a further solution of the present invention, the step of acquiring the real-time data of cutting fluid flow regulation is specifically as follows:

[0012] Based on the production needs of cutting fluid, the production process is divided and the equipment is deployed. The upper and lower flow limit parameters of the flow regulator are set. The temperature monitoring configuration is started to record the real-time temperature. The concentration sensor is called to monitor the change of liquid concentration and obtain the multi-stage monitoring data of the cutting fluid.

[0013] Based on the cutting fluid multi-stage monitoring data, the real-time flow data output by the flow regulator is called, the flow value and the set range are compared and collected in stages, the flow deviation difference is calculated, the temperature value recorded by the temperature monitoring configuration is associated with the concentration sensor data, and the cutting fluid parameter association data is generated;

[0014] Based on the cutting fluid parameter-related data, the difference value of the flow regulator is extracted, the flow output value of the flow regulator is adjusted, the temperature monitoring device and the concentration sensor are called, the adjusted temperature and concentration data are synchronously monitored, and the real-time data of cutting fluid flow regulation is obtained.

[0015] As a further solution of the present invention, the steps for obtaining the cutting fluid flow feedback regulation strategy are specifically as follows:

[0016] According to the cutting fluid flow rate adjustment real-time data, the cutting fluid flow rate data is monitored in real time by a flow sensor, the real-time flow rate is captured and compared with a preset target flow rate, the deviation between the real-time and target flow rates is calculated, the deviation value is recorded and stored, and the real-time flow rate deviation data is obtained;

[0017] Based on the real-time flow deviation data, a threshold is set and it is determined whether the flow needs to be adjusted. For deviations exceeding the threshold, adjustments are made through the flow control valve using the formula:

[0018]

[0019] Get traffic regulation policy parameters;

[0020] Among them, ΔQ represents the adjustment amount of the flow control valve, k is the flow adjustment sensitivity coefficient, ΔF is the deviation between the real-time flow and the target flow, and F target is the target flow rate, γ is the intensity index of the regulation response, and sign(ΔF) is the sign function of the deviation;

[0021] The flow rate regulation strategy parameters are used to optimize the feedback mechanism of flow control, the responsiveness and regulation efficiency of the control configuration are analyzed in combination with the original regulation data, the control strategy is adjusted, and the cutting fluid flow rate feedback regulation strategy is generated.

[0022] As a further solution of the present invention, the step of acquiring the delay compensation signal is specifically:

[0023] Calling the cutting fluid flow feedback regulation strategy, collecting the monitoring value of the pressure sensor through the real-time flow meter, recording the response characteristics of the current flow regulation, distinguishing and quantifying the response delay time and the information transmission delay, combining the sampling time interval to calibrate the time deviation, and generating equipment response and signal transmission delay data;

[0024] Based on the equipment response and signal transmission delay data, combined with the real-time flow value fed back by the flow meter and the pressure regulation hysteresis effect, the formula is adopted:

[0025]

[0026] Calculate and obtain the delay compensation parameter;

[0027] Among them, C delay is the delay compensation amount, L res is the device response delay, L trans is the signal transmission delay, P adj is the current regulating pressure, P ref is the reference pressure, Ftarget is the target flow;

[0028] The delay compensation parameter is called and superimposed on the current control signal amplitude, and the delay compensation signal is obtained by recalculating the amplitude and time point of the compensated control signal.

[0029] As a further solution of the present invention, the step of obtaining the flow regulation delay compensation control result is specifically:

[0030] Based on the delay compensation signal, extract the real-time flow monitoring data, calculate the time offset between the current flow output value and the target value point by point, record the time node difference and amplitude range, and obtain the flow regulation delay deviation data;

[0031] Based on the flow regulation delay deviation data, extract the time offset and amplitude deviation value, call the flow regulator time control parameter, correct the trigger time node and amplitude output difference, and obtain the flow regulation compensation data;

[0032] Based on the flow regulation compensation data, the flow regulator output amplitude is corrected, the corrected flow value is monitored in real time, the current flow is synchronously compared with the target value, and the flow regulation delay compensation control result is obtained.

[0033] As a further solution of the present invention, the step of acquiring the dynamic adjustment strategy is specifically:

[0034] Based on the flow regulation delay compensation control result, combined with the real-time data of the wear sensor, the wear degree of the processing equipment and the workpiece is detected in real time, the data fed back by the temperature sensor, the pressure sensor and the flow meter are called, the temperature, pressure and flow change trends at the current time point are recorded, the temperature change rate, the pressure fluctuation amplitude and the flow deviation are calculated, the data are sorted, and a set of environmental parameter changes is generated;

[0035] The environmental parameter change set is called, and the relationship between temperature change, pressure fluctuation and flow deviation is analyzed through the dynamic response characteristics of the flow controller, using the formula:

[0036]

[0037] Generate dynamic adjustment amount of flow regulator parameters;

[0038] in, is the dynamic adjustment amount of the flow regulator parameters, is the temperature change value, is the pressure change value, is the deviation between the real-time flow and the target flow, and are the adjustment weights of temperature and pressure respectively, To adjust the sensitivity index;

[0039] Based on the dynamic adjustment amount of the flow regulator parameter, the adjustment amount is applied to the control parameter of the current flow regulator, the control output value and the time point are calculated, and correction iteration is performed according to the flow feedback data to generate a dynamic adjustment strategy.

[0040] As a further solution of the present invention, the steps for obtaining the optimized cutting fluid ratio result are specifically as follows:

[0041] Based on the dynamic adjustment strategy, concentration, temperature, flow rate, and pressure parameters are extracted, real-time values ​​of the production stage are collected, equipment parameters are read item by item and calibrated to remove abnormal values, and the required parameter set of the production stage is obtained;

[0042] Based on the production stage demand parameter set, key parameters of concentration, temperature and flow rate are compared, and by setting the standard parameter range, the deviation value of the parameter is calculated item by item, the change trend and adjustment range of the current parameter are extracted, and the cutting fluid ratio adjustment parameter set is generated;

[0043] Based on the cutting fluid ratio adjustment parameter set, the cutting fluid components are adjusted item by item, the component ratio is proportioned according to the correction value, the cutting fluid is stirred in real time and continuously tested to verify whether the parameter concentration and temperature reach the standard range, and the optimized cutting fluid ratio result is obtained.

[0044] As a further solution of the present invention, the steps for obtaining the optimized cutting fluid flow control solution are specifically as follows:

[0045] Based on the optimized cutting fluid ratio result, the feedback loop is called to monitor the flow and concentration data in real time, and the temperature, flow and concentration data are synchronized in time in combination with the ambient temperature change value and the current opening parameter of the control valve, and the instantaneous change rate and deviation amplitude of the parameters are analyzed to generate a set of dynamic environmental change parameters;

[0046] According to the dynamic environmental change parameter set, the influence of temperature change, flow deviation and concentration deviation on flow control is analyzed, and the formula is adopted:

[0047]

[0048] Calculate the flow response adjustment amount and obtain the dynamic correction amount of the flow regulator;

[0049] in, is the flow rate regulation response, is the temperature change value, is the concentration deviation value, is the deviation between the real-time flow and the target flow, , and are the response coefficients of temperature, concentration and flow rate, respectively, is the weight parameter;

[0050] The dynamic correction amount of the flow regulator is called, the correction amount is input into the current flow control instruction, the opening value and flow output of the control valve are synchronously corrected, and the instruction is output through real-time control parameters to obtain an optimized cutting fluid flow control solution.

[0051] Compared with the prior art, the advantages and positive effects of the present invention are:

[0052] In the present invention, through the meticulous cutting fluid flow and ratio adjustment process, it is possible to accurately adapt to the needs of different production stages, optimize the use efficiency of cutting fluid, and significantly improve the quality and stability in the industrial processing process. With the help of real-time monitoring and adjustment of the flow, it is possible to reduce the instability caused by environmental fluctuations or equipment response lags, ensure the accurate supply of cutting fluid under different processing conditions, monitor multiple parameters such as temperature and flow in real time, and dynamically adjust the ratio and flow of cutting fluid, thereby effectively avoiding processing errors or premature wear of equipment due to ratio imbalance. In the face of changing production needs, by quickly responding to environmental changes and automatically optimizing the ratio strategy, it is helpful to reduce resource waste in the production process and improve production efficiency. The improved ratio control strategy improves the utilization rate of cutting fluid, ensures the simultaneous improvement of processing quality and equipment service life, and significantly reduces the need for manual intervention and operation complexity. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 is a system flow chart of the present invention;

[0054] Figure 2 It is a flow chart of real-time data of cutting fluid flow regulation in the present invention;

[0055] Figure 3 It is a flow chart of the cutting fluid flow feedback regulation strategy in the present invention;

[0056] Figure 4 is a flow chart of a delay compensation signal in the present invention;

[0057] Figure 5 It is a flow chart of the flow regulation delay compensation control result in the present invention;

[0058] Figure 6 It is a flow chart of the dynamic adjustment strategy in the present invention;

[0059] Figure 7 It is a flow chart of the optimized cutting fluid ratio result in the present invention;

[0060] Figure 8 The figure is a flow chart of the cutting fluid flow control scheme optimized in the present invention. DETAILED DESCRIPTION

[0061] 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.

[0062] 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" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the 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, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0063] See also Figure 1 , a cutting fluid automatic proportioning control system comprises:

[0064] The flow control module is based on the cutting fluid production needs, divides the production into multiple stages, selects flow regulators, temperature monitoring devices, and concentration sensors, monitors cutting fluid data, obtains real-time data on cutting fluid flow regulation, compares the deviation between the set value and the real-time value, regulates the flow through the flow control valve, and generates a cutting fluid flow feedback regulation strategy;

[0065] The delay compensation module is based on the cutting fluid flow feedback regulation strategy, analyzes the equipment response and information transmission delay, uses the flow meter and pressure regulation hysteresis effect, calculates the compensation amount to correct the control signal, obtains the delay compensation signal, adjusts the adjustment timing and amplitude of the cutting fluid flow, and generates the flow regulation delay compensation control result;

[0066] The dynamic adjustment module detects environmental changes in real time based on the flow adjustment delay compensation control results, automatically adjusts the flow regulator parameters, optimizes the ratio control, generates dynamic adjustment strategies, corrects the cutting fluid ratio according to the real-time needs of the differentiated production stage, and generates optimized cutting fluid ratio results;

[0067] The dynamic flow adjustment module is based on the optimized cutting fluid ratio results. It monitors real-time data through a feedback loop, adjusts the flow rate in combination with temperature sensors and control valves, responds to environmental changes, adjusts the flow rate and concentration, adjusts the cutting fluid ratio, and generates an optimized cutting fluid flow control plan.

[0068] The real-time data of cutting fluid flow regulation include real-time flow data, real-time temperature data, and real-time concentration data. The cutting fluid flow feedback regulation strategy includes flow regulation instructions, set value parameters, and flow deviation data. The delay compensation signal includes compensation amount parameters, delay correction signal, and control signal correction value. The flow regulation delay compensation control result includes compensation timing parameters, flow regulation amplitude, and delay calibration data. The dynamic adjustment strategy includes environmental change parameters, flow regulation parameters, and dynamic ratio parameters. The optimized cutting fluid ratio results include ratio concentration value, ratio temperature value, and flow regulation results. The optimized cutting fluid flow control scheme includes flow feedback data, temperature adjustment parameters, and concentration control strategy.

[0069] See also Figure 2 , the specific steps for obtaining real-time data of cutting fluid flow regulation are:

[0070] Based on the production needs of cutting fluid, the production process is divided and the equipment is deployed. The upper and lower flow limit parameters of the flow regulator are set. The temperature monitoring configuration is started to record the real-time temperature. The concentration sensor is called to monitor the change of liquid concentration and obtain the multi-stage monitoring data of the cutting fluid.

[0071] The initial flow range value is calculated according to the working pressure, flow rate and equipment fluid consumption required by the cutting fluid, and the range is used as the upper and lower limit control parameters of the flow regulator. The temperature monitoring configuration is started to record the real-time temperature. The temperature sensor is deployed at the key node position of the cutting fluid output pipeline. The temperature data is collected once a minute and a real-time monitoring curve is formed. The concentration sensor is called to monitor the change of liquid concentration. The sensor is fixed at the liquid outlet of the main mixing tank. The sensor is set to collect concentration data every 30 seconds. After the data is initially digitized by the sensor, it is uploaded to the central monitoring unit in real time to form multi-stage monitoring data of the cutting fluid, ensuring that the key parameters in the production process are visible and traceable in real time.

[0072] Based on the multi-stage monitoring data of cutting fluid, the real-time flow data output by the flow regulator is called, the flow value and the set range are compared and collected in stages, the flow deviation difference is calculated, the temperature value recorded by the temperature monitoring configuration is associated with the concentration sensor data, and the cutting fluid parameter association data is generated;

[0073] The output flow is divided into the initial flow segment, the intermediate flow segment and the stable flow segment according to the production stage. The real-time flow data of each stage is recorded respectively and compared with the preset upper and lower limits of the flow. The real-time data is calculated by the data processing module to obtain the deviation value between the current flow and the set range. The temperature value recorded by the temperature monitoring configuration and the liquid concentration data of the concentration sensor are combined to compare the correlation between the temperature, concentration and flow data of the cutting fluid at different stages. The temperature data obtained every minute is integrated with the concentration value and flow difference at the corresponding time point to obtain the cutting fluid parameter correlation data, and the flow-temperature-concentration relationship at different stages is presented in the form of a chart to intuitively analyze the matching degree and abnormal deviation between the parameters.

[0074] Based on the cutting fluid parameter correlation data, the difference value of the flow regulator is extracted, the flow output value of the flow regulator is adjusted, the temperature monitoring device and the concentration sensor are called, the adjusted temperature and concentration data are synchronously monitored, and the real-time data of cutting fluid flow regulation is obtained;

[0075] By adjusting the flow output value of the regulator, the difference is fed back to the flow regulator, so that the regulator gradually adjusts the flow output until the flow difference is controlled within the minimum error range. The temperature monitoring configuration and concentration sensor are called to synchronously monitor the adjusted temperature and concentration data respectively to form a secondary real-time monitoring curve. The data verification cycle is 3 minutes to ensure that the adjusted flow, temperature and concentration are maintained within the target range. The real-time collected cutting fluid data is uploaded to the central control system for further data storage and analysis, and the real-time data of cutting fluid flow regulation is obtained to provide accurate data support for the continuous optimization of subsequent automatic proportioning control, thereby ensuring the accuracy and stability of the cutting fluid supply process.

[0076] See also Figure 3 , the specific steps for obtaining the cutting fluid flow feedback regulation strategy are:

[0077] According to the real-time data of cutting fluid flow rate adjustment, the flow rate data of cutting fluid is monitored in real time through the flow sensor, the real-time flow rate is captured and compared with the preset target flow rate, the deviation between the real-time and target flow rates is calculated, the deviation value is recorded and stored, and the real-time flow rate deviation data is obtained;

[0078] The flow sensor is used to monitor the flow data of the cutting fluid in real time, the actual flow value is obtained from the cutting fluid flow detection module, and the data is uploaded to the control center. The preset target flow parameters are called for real-time comparison, and the deviation between the actual flow and the target flow at each time point is calculated. The deviation data is stored in the cache area in chronological order, and the real-time collected data is denoised. By setting the elimination criteria for abnormal flow data, the abnormal values ​​caused by instantaneous fluctuations are screened out to ensure the validity of the recorded deviation data. Subsequently, based on the time series analysis method, the deviation data is trend identified and smoothed, and the periodic jitter data is further eliminated. When performing deviation calculation, the flow deviation values ​​at multiple time points are averaged and the standard deviation is calculated to obtain the discrete degree of flow fluctuation. The result is used to identify the severity of the deviation of the current adjustment state, and finally obtain real-time flow deviation data for subsequent flow adjustment control links.

[0079] Based on the real-time flow deviation data, a threshold is set to determine whether the flow needs to be adjusted. For deviations exceeding the threshold, adjustments are made through the flow control valve using the formula:

[0080]

[0081] Get traffic regulation policy parameters;

[0082] in, Indicates the adjustment amount of the flow control valve, is the flow rate adjustment sensitivity coefficient, is the deviation between the real-time flow and the target flow, is the target flow, To adjust the intensity index of the response, is the sign function of the deviation;

[0083] The formula is useful in that it accounts for the flow deviation Normalize and combine the target flow , and introduce the sensitivity parameter and nonlinear index , achieving precise control of flow regulation response speed and regulation range, improving regulation adaptability and system stability;

[0084] Through actual testing, set the target flow L / min, real-time flow L / min;

[0085] Calculate real-time deviation: ;

[0086] Set the sensitivity coefficient , exponential adjustment parameter :

[0087]

[0088]

[0089]

[0090] This result shows that the cutting fluid flow rate needs to be reduced Unit, the negative sign indicates that the control valve performs a reduction adjustment action. The adjustment amount is used to generate a specific flow adjustment instruction to drive the flow control valve to dynamically adjust the cutting fluid flow, ultimately ensuring that the flow matches the target flow.

[0091] Utilize the flow regulation strategy parameters to optimize the feedback mechanism of flow control, analyze the responsiveness and regulation efficiency of the control configuration in combination with the original regulation data, adjust the control strategy, and generate the cutting fluid flow feedback regulation strategy;

[0092] Based on the original flow regulation data, a retrospective analysis of the system regulation effect is carried out, the actual flow and deviation data of each time node in the original flow regulation database are called, the data are arranged according to the time series, the deviation value of each time node is matched and calculated with the corresponding regulation result, and the response relationship between the regulation action and the flow feedback is analyzed. The response error between the original flow regulation deviation and the actual feedback is obtained through the error calculation model, and the regulation period is screened based on the size of the response error, and the regulation period with a large error is eliminated, and the regulation interval with a relatively accurate response is retained. On the basis of the obtained regulation interval, the current flow feedback regulation strategy parameters and the original optimal regulation parameters are weighted averaged, and the current regulation parameter values ​​are readjusted through the dynamic error weight calculation method. Finally, the cutting fluid flow feedback regulation strategy is generated, which is used as a dynamic regulation instruction of the flow control system and applied in the real-time flow feedback control link to achieve continuous monitoring and real-time regulation of the flow.

[0093] See also Figure 4 , the steps for obtaining the delay compensation signal are specifically as follows:

[0094] Call the cutting fluid flow feedback regulation strategy, collect the monitoring value of the pressure sensor through the real-time flow meter, record the response characteristics of the current flow regulation, distinguish and quantify the response delay time and information transmission delay, calibrate the time deviation in combination with the sampling time interval, and generate equipment response and signal transmission delay data;

[0095] Based on the real-time monitoring data of the flow meter and pressure sensor, the actual flow value and pressure response value of the current device are obtained through the data acquisition module, and the real-time data is sorted and stored according to the timestamp to establish a time series data set. The acquisition interval of the sensor signal is calculated according to the sampling period. The time deviation in the current signal transmission process is analyzed in combination with the current working status of the equipment, and the equipment response delay time and signal transmission delay time at each moment are recorded. For the equipment response delay, the time difference of the flow meter feedback is used for quantitative analysis, and the threshold is set to eliminate noise data and abnormal delay points. For signal transmission delay, the delay amount of different transmission paths is analyzed by comparing the timestamp of the transmission data packet. At the same time, the delays in different time periods are smoothed to form a stable data set, and the equipment response and signal transmission delay data are obtained to provide quantitative input for the calculation of the compensation amount, and ensure the accuracy and timing consistency of the time data.

[0096] Based on the equipment response and signal transmission delay data, combined with the real-time flow value fed back by the flow meter and the hysteresis effect of pressure regulation, the formula is adopted:

[0097]

[0098] Calculate and obtain the delay compensation parameter;

[0099] in, is the delay compensation amount, For device response delay, is the signal transmission delay, is the current regulation pressure, is the reference pressure, is the target flow;

[0100] The formula is useful because it delays the device response and signal transmission delay Accumulation is performed and nonlinear calculation of pressure adjustment amount and target flow is combined to improve the calculation accuracy of compensation amount and the adaptability to hysteresis effect, effectively correcting the flow regulation deviation caused by signal delay;

[0101] Detailed explanation of the formula and the process of formula calculation and derivation:

[0102] (Device response delay, obtained through the time difference of sensor data log);

[0103] (Signal transmission delay, obtained by comparing the data packet transmission timestamp);

[0104] (Currently regulated pressure, monitored in real time by pressure sensor);

[0105] (reference pressure, set by the normal operating baseline of the equipment);

[0106] (target flow, preset value through cutting fluid regulation strategy);

[0107] Calculate the absolute value of the pressure difference: ;

[0108] Calculate the denominator: ;

[0109] Calculate the square root part: ;

[0110] Calculate the compensation amount: ;

[0111] The result shows that the delay compensation parameter calculation result is , indicating that the compensation amount needs to be superimposed on the current control signal to adjust the signal lag problem in the cutting fluid flow feedback strategy and ensure that the control signal and the equipment response are synchronized in the time dimension.

[0112] The delay compensation parameter is called and added to the current control signal amplitude, and the delay compensation signal is obtained by recalculating the amplitude and time point of the compensated control signal;

[0113] Combined with the amplitude and time series data of the current control signal, the compensation amount is first superimposed on the output amplitude of the current control signal, and the amplitude of the adjusted signal is corrected. Based on the equipment response delay data and the transmission delay data, the output time point of the control signal is re-planned. By establishing a time synchronization mapping table, the corrected control signal is allocated to the corresponding output cycle, and the corrected signal is time-series segmented, corresponding to the time nodes of the device feedback one by one, to ensure that the time delay of the signal in the transmission path and the equipment response lag effect are corrected at the same time, and the compensated control signal is input into the flow regulation execution unit, and the cutting fluid flow regulation control strategy is updated in real time to obtain the delay compensation signal, completing the whole process of signal amplitude and time synchronization adjustment.

[0114] See also Figure 5 , the specific steps for obtaining the flow regulation delay compensation control result are:

[0115] Based on the delay compensation signal, extract the real-time flow monitoring data, calculate the time offset between the current flow output value and the target value point by point, record the time node difference and amplitude range, and obtain the flow regulation delay deviation data;

[0116] The real-time flow data output by the flow regulator is collected through the flow sensor, and the flow value at each moment is extracted point by point in chronological order. The difference analysis is performed in combination with the target flow value, and the time offset between the current flow output value and the target value is calculated. The key nodes of the flow response lag are determined, and the difference data of the time nodes are recorded, including the offset time interval and the range of change of the flow amplitude. The data is used as the basic information of the flow regulation delay deviation, and the recorded time node difference and amplitude change data are classified and sorted into three levels: mild delay, moderate delay and severe delay, to ensure that the flow response lag at different stages can be accurately located, and finally the flow regulation delay deviation data is obtained to provide a data basis for the subsequent compensation process.

[0117] Based on the flow regulation delay deviation data, the time offset and amplitude deviation values ​​are extracted, the flow regulator time control parameters are called, the trigger time node and amplitude output difference are corrected, and the flow regulation compensation data is obtained;

[0118] Associate the numerical value with the time control parameter of the flow regulator, and gradually correct the trigger time node of the flow regulator by comparing the difference between the current time control parameter and the target trigger node. Recalibrate the gain parameter of the flow output according to the amplitude deviation value to ensure that the flow regulator can respond to the regulation instruction more quickly after the correction, adjust the trigger cycle of the time trigger controller, and gradually reduce the time offset of the response lag to the minimum value. At the same time, perform dynamic feedback calibration on the amplitude output difference to reduce the output fluctuation amplitude of the flow regulator in different working stages, obtain the flow regulation compensation data, and upload it to the central control unit in real time to form a visual analysis result.

[0119] Based on the flow regulation compensation data, calibrate the flow regulator output amplitude, monitor the corrected flow value in real time, compare the current flow with the target value synchronously, and obtain the flow regulation delay compensation control result;

[0120] The real-time feedback mechanism is used to compare the compensated flow data with the target value, monitor the corrected flow value, ensure that the flow deviation is maintained within the minimum error range, and synchronously monitor the flow, temperature and concentration values ​​of the current cutting fluid through flow sensors and temperature monitoring equipment to verify the correction effect of the flow regulator. Combined with the real-time data comparison process, the control deviation of the flow regulation output is automatically identified, and the time node and output amplitude are further dynamically adjusted to form a closed-loop control feedback system, obtain the flow regulation delay compensation control results, and store the data in the historical monitoring library to provide support for the stability and accuracy of the subsequent cutting fluid automatic proportioning control, ensuring that the flow regulator can accurately and efficiently respond to production needs.

[0121] See also Figure 6 , the specific steps for obtaining the dynamic adjustment strategy are:

[0122] Based on the flow regulation delay compensation control results, combined with the real-time data of the wear sensor, the wear degree of the processing equipment and workpieces is detected in real time, the data fed back by the temperature sensor, pressure sensor and flow meter are called, the temperature, pressure and flow change trends at the current time point are recorded, the temperature change rate, pressure fluctuation amplitude and flow deviation are calculated, the data are sorted, and a set of environmental parameter changes is generated;

[0123] First, the real-time data of temperature, pressure, flow and wear sensors are stored and marked in the order of timestamps, and then the statistical screening method is used to eliminate outliers and noise data to ensure the validity and continuity of the collected data. For temperature parameters, the rate of change is calculated. Specifically, the instantaneous temperature change rate is obtained by dividing the temperature difference between the two time points before and after by the time interval; for pressure data, the pressure fluctuation amplitude is quantified by calculating the difference between the maximum pressure and the minimum pressure, and the pressure change is processed by moving average; for flow parameters, the deviation between the current flow and the target flow is monitored in real time, and the flow deviation is standardized to reduce the error caused by the asynchronous sampling cycle. Combined with the real-time data of the wear sensor, the wear degree of the processing equipment and the workpiece is detected in real time, and the wear data is associated with the environmental parameters to analyze its potential impact on the stability of equipment operation. On this basis, combined with the change trends of temperature, pressure, flow and wear, a set of environmental parameters and equipment status changes is generated, which provides the necessary dynamic input data for the next step of flow regulator parameter adjustment and equipment maintenance strategy optimization, and realizes the quantitative analysis and data standardization of environmental parameters and wear degree.

[0124] Call the environmental parameter change set, analyze the relationship between temperature change, pressure fluctuation and flow deviation through the dynamic response characteristics of the flow controller, and use the formula:

[0125]

[0126] Generate dynamic adjustment amount of flow regulator parameters;

[0127] in, is the dynamic adjustment amount of the flow regulator parameters, is the temperature change value, is the pressure change value, is the deviation between the real-time flow and the target flow, and are the adjustment weights of temperature and pressure respectively, To adjust the sensitivity index;

[0128] The benefit of the formula is that it accurately quantifies the impact of dynamic environmental changes on the flow regulator by weighted processing of temperature changes and pressure fluctuations, combined with the nonlinear square root operation of flow deviation, and achieves dual optimization of responsiveness and adaptability of control parameters;

[0129] (Temperature change value, instantaneous temperature difference obtained by monitoring the temperature sensor);

[0130] (pressure change value, pressure fluctuation amplitude calculated by pressure sensor);

[0131] (The deviation between the real-time flow and the target flow is measured by the flow meter);

[0132] , (Weight parameter, the influence weight of temperature and pressure based on historical data analysis);

[0133] (Sensitivity index, set by analyzing the response characteristics of the regulator and the degree of influence of environmental changes);

[0134] Calculate the weighted sum of temperature and pressure: ;

[0135] Calculate the square root of the flow deviation: ;

[0136] Calculate the parameter adjustment amount: ;

[0137] Denominator calculation result: ;

[0138] Perform exponential calculation: ;

[0139] The results show that the flow regulator parameter adjustment is , which means that under the current environmental change conditions, the adjustment amount needs to be superimposed on the existing parameters of the flow controller to adapt to the dynamic changes of temperature, pressure and flow, and realize dynamic control of the flow regulator.

[0140] Based on the dynamic adjustment amount of the flow regulator parameters, the adjustment amount is applied to the control parameters of the current flow regulator, the control output value and time point are calculated, and the correction iteration is performed according to the flow feedback data to generate a dynamic adjustment strategy;

[0141] The corrected parameters are verified through the real-time feedback module, and the parameter correction error is calculated based on the real-time response data fed back by the flow execution unit. According to the correction error, the control parameters are gradually optimized through the incremental allocation method, and the amplitude and time point of the flow output are adjusted in real time. At the same time, the temperature, pressure and flow feedback data are monitored for the second time to ensure that the corrected control parameters can match the current status of the equipment in real time. The final corrected parameters are sent to the flow regulator execution unit, the control instructions of the execution unit are updated, and the actual execution effect of the control instructions is monitored in real time. Finally, a dynamic adjustment strategy is formed to realize parameter adjustment and control optimization of the flow regulator in a dynamic environment.

[0142] See also Figure 7 , the specific steps for obtaining the optimized cutting fluid ratio result are:

[0143] Based on the dynamic adjustment strategy, concentration, temperature, flow rate, and pressure parameters are extracted, real-time values ​​in the production stage are collected, equipment parameters are read item by item, and abnormal values ​​are calibrated and eliminated to obtain the parameter set required in the production stage;

[0144] The sensor network is deployed at the key nodes of the cutting fluid production line to collect dynamic values ​​of various parameters in real time. The concentration data is continuously collected by the concentration sensor in a period of 30 seconds. The temperature monitoring module is installed at the main pipeline node where the cutting fluid flows to read the temperature change value every minute. The flow rate and pressure data are recorded in real time by the flow sensor and pressure monitor respectively to obtain the production stage parameters. During the data extraction process, all collected parameters are preliminarily screened by the data processing module to eliminate abnormal values ​​caused by instantaneous interference to ensure the accuracy and stability of the data. The operating values ​​of equipment parameters such as flow regulators and stirring devices are recorded synchronously, and data calibration is performed item by item to eliminate the impact of initial equipment errors. Finally, the production stage requirement parameter set is formed to provide effective basic data for the automatic proportioning process of cutting fluid.

[0145] Based on the parameter set required in the production stage, the key parameters of concentration, temperature and flow rate are compared. By setting the standard parameter range, the deviation value of the parameter is calculated item by item, the change trend and adjustment range of the current parameter are extracted, and the cutting fluid ratio adjustment parameter set is generated;

[0146] Set the standard parameter range: such as controlling the concentration at 3% to 6%, maintaining the temperature at 25°C to 35°C, and the flow rate at 1.2 to 1.8 cubic meters per hour. By comparing the real-time data with the standard range item by item, calculate the deviation value of each parameter, and perform change trend analysis based on the deviation value. The concentration deviation extracts the direction of concentration change and the adjustment range by continuously detecting the concentration difference at different time nodes. The temperature deviation determines the temperature fluctuation range by calculating the slope of the monitoring curve. The stability of the flow rate is determined by the fluctuation frequency and amplitude of the deviation value to form a comprehensive parameter change trend and adjustment range. The real-time status of each parameter is integrated with the set standard range to generate a cutting fluid ratio adjustment parameter set to provide data support for the optimization of the automatic ratio control system.

[0147] Based on the cutting fluid ratio adjustment parameter set, the cutting fluid components are adjusted item by item, the component ratio is proportioned according to the correction value, the cutting fluid is stirred in real time and continuously tested to verify whether the parameter concentration and temperature are within the standard range, and the optimized cutting fluid ratio result is obtained;

[0148] By correcting the composition ratio of the cutting fluid and adjusting the concentration, the ratio of the cutting fluid concentrate and water is re-proportioned according to the deviation correction value. For example, when the concentration deviation is -0.5%, the system automatically increases the dosage of the cutting fluid concentrate and monitors the change in water flow rate to ensure the precise control of the liquid ratio. After the composition is adjusted, the stirring device immediately stirs the cutting fluid at high speed and continuously and evenly stirs it in a cycle of 2 minutes to ensure the uniformity of the ratio. The corrected cutting fluid is detected in real time through the concentration sensor and temperature monitoring module, and the parameter concentration and temperature are checked one by one to verify whether the values ​​are stable and remain within the standard range. The accuracy of the cutting fluid ratio is confirmed by comparing the data for 5 consecutive cycles, and finally the optimized cutting fluid ratio result is obtained, realizing the efficient execution of the automatic ratio control process and the precise matching of production needs.

[0149] See also Figure 8 , the specific steps for obtaining the optimized cutting fluid flow control solution are:

[0150] Based on the optimized cutting fluid ratio results, the feedback loop is called to monitor the flow and concentration data in real time. The temperature, flow and concentration data are synchronized in time based on the ambient temperature change value and the current opening parameter of the control valve. The instantaneous change rate and deviation amplitude of the parameters are analyzed to generate a set of dynamic environmental change parameters.

[0151] Through the data storage module, various monitoring data are marked and stored in time series, and then noise filtering and abnormal data elimination are carried out. The elimination rules are based on the standard deviation and threshold range of historical data. Abnormal data points are screened and eliminated by calculating the average value and variance, and valid data are retained. Then, the change trends of flow, temperature and concentration in different time periods are analyzed, and the deviation between flow data and target value is calculated. The deviation amplitude is quantified by the difference between the current flow and the set flow. The concentration data calculates the deviation amplitude by comparing the real-time concentration value with the set concentration value. The temperature data records the real-time temperature difference and calculates the change rate to form a set of temperature change values, concentration deviation values ​​and flow deviation values. Finally, the processed data is standardized. Through the minimum-maximum normalization method, the data is adjusted to a comparable range to form a set of environmental dynamic change parameters, which provides effective parameter input for the next step of flow regulation and control instruction optimization.

[0152] According to the dynamic environment parameter set, the influence of temperature change, flow deviation and concentration deviation on flow control is analyzed, and the formula is used:

[0153]

[0154] Calculate the flow response adjustment amount and obtain the dynamic correction amount of the flow regulator;

[0155] in, is the flow rate regulation response, is the temperature change value, is the concentration deviation value, is the deviation between the real-time flow and the target flow, , and are the response coefficients of temperature, concentration and flow rate, respectively, is the weight parameter;

[0156] The benefit of the formula is that it uses a dynamic weighted calculation of temperature, concentration and flow deviation, combined with the weight parameter Comprehensive correction can quantify the influence of various parameters on flow regulation and improve the response effect of cutting fluid ratio control;

[0157] (Temperature change value, obtained by real-time monitoring and calculation of temperature difference by temperature sensor);

[0158] (Concentration deviation value, obtained by the difference between the real-time concentration value and the target concentration value);

[0159] (Flow deviation value, calculated by the difference between real-time flow data and set target value);

[0160] , , (Response coefficient, evaluating the weight of each parameter’s impact on flow regulation based on historical monitoring data);

[0161] (Comprehensive weight parameters are determined by the system's historical control accuracy and dynamic adjustment requirements);

[0162] Calculate the weighted sum of temperature, concentration, and flow deviations: ;

[0163] Calculate item by item: ;

[0164] Multiply the weighted sum by the combined weight parameter: ;

[0165] This result shows that the flow rate regulation response for , indicating that the correction value needs to be added to the existing flow control instruction, the control valve opening needs to be adjusted, the flow output and concentration ratio control of the cutting fluid needs to be optimized, and the adjustment response needs to be dynamically matched with the current environmental conditions.

[0166] The dynamic correction value of the flow regulator is called, and the correction value is input into the current flow control instruction, the opening value of the control valve and the flow output are corrected synchronously, and the instruction is output through the real-time control parameter to obtain the optimized cutting fluid flow control scheme;

[0167] First, the corrected opening value of the control valve is calculated, and the current valve opening and the correction amount are linearly superimposed to form a corrected opening instruction. Combined with the temperature and concentration deviations in the environmental dynamic change parameter set, the corrected instruction is verified in real time, the actual output flow data of the flow execution unit is monitored and compared with the target flow value, and a new error value is calculated. If the error exceeds the set threshold, error correction is performed, and the control instruction is gradually optimized through incremental iteration. The control valve opening and flow output are continuously adjusted, the optimized control instruction is sent to the execution unit, and data monitoring is continuously performed. The real-time response effect of the control parameters is judged through the feedback loop until the system error is stabilized within the preset range, forming an optimized cutting fluid flow control scheme to achieve dynamic flow regulation and concentration control in a dynamic environment.

[0168] 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. A cutting fluid automatic proportioning control system, characterized in that: The system comprises: The flow control module is based on the cutting fluid production needs, divides the production into multiple stages, selects flow regulators, temperature monitoring devices, and concentration sensors, monitors cutting fluid data, obtains real-time data on cutting fluid flow regulation, compares the deviation between the set value and the real-time value, regulates the flow through the flow control valve, and generates a cutting fluid flow feedback regulation strategy; The delay compensation module is based on the cutting fluid flow feedback regulation strategy, analyzes the equipment response and information transmission delay, uses the flow meter and pressure regulation hysteresis effect, calculates the compensation amount to correct the control signal, obtains the delay compensation signal, adjusts the adjustment timing and amplitude of the cutting fluid flow, and generates the flow regulation delay compensation control result; The dynamic adjustment module detects the wear degree of the processing equipment and the workpiece in real time based on the flow adjustment delay compensation control result and the real-time data of the wear sensor, automatically adjusts the flow regulator parameters, optimizes the ratio control, generates a dynamic adjustment strategy, and corrects the ratio of the cutting fluid according to the real-time demand and wear state of the differentiated production stage, and generates an optimized cutting fluid ratio result; The dynamic flow adjustment module is based on the optimized cutting fluid ratio result, monitors real-time data through a feedback loop, adjusts the flow rate in combination with a temperature sensor and a control valve, responds to environmental changes, adjusts the flow rate and concentration, adjusts the cutting fluid ratio, and generates an optimized cutting fluid flow control plan.

2. The cutting fluid automatic proportioning control system according to claim 1, characterized in that: The steps for obtaining the real-time data of cutting fluid flow regulation are specifically as follows: Based on the production needs of cutting fluid, the production process is divided and the equipment is deployed. The upper and lower flow limit parameters of the flow regulator are set. The temperature monitoring configuration is started to record the real-time temperature. The concentration sensor is called to monitor the change of liquid concentration and obtain the multi-stage monitoring data of the cutting fluid. Based on the cutting fluid multi-stage monitoring data, the real-time flow data output by the flow regulator is called, the flow value and the set range are compared and collected in stages, the flow deviation difference is calculated, the temperature value recorded by the temperature monitoring configuration is associated with the concentration sensor data, and the cutting fluid parameter association data is generated; Based on the cutting fluid parameter-related data, the difference value of the flow regulator is extracted, the flow output value of the flow regulator is adjusted, the temperature monitoring device and the concentration sensor are called, the adjusted temperature and concentration data are synchronously monitored, and the real-time data of cutting fluid flow regulation is obtained.

3. The cutting fluid automatic proportioning control system according to claim 2 is characterized in that: The steps for obtaining the cutting fluid flow feedback regulation strategy are specifically as follows: According to the cutting fluid flow rate adjustment real-time data, the cutting fluid flow rate data is monitored in real time by a flow sensor, the real-time flow rate is captured and compared with a preset target flow rate, the deviation between the real-time and target flow rates is calculated, the deviation value is recorded and stored, and the real-time flow rate deviation data is obtained; Based on the real-time flow deviation data, a threshold is set and it is determined whether the flow needs to be adjusted. For deviations exceeding the threshold, adjustments are made through the flow control valve using the formula:

4. Obtain traffic regulation strategy parameters; in, Indicates the adjustment amount of the flow control valve, is the flow rate adjustment sensitivity coefficient, is the deviation between the real-time flow and the target flow, is the target flow, To adjust the intensity index of the response, is the sign function of the deviation; The flow rate regulation strategy parameters are used to optimize the feedback mechanism of flow control, the responsiveness and regulation efficiency of the control configuration are analyzed in combination with the original regulation data, the control strategy is adjusted, and the cutting fluid flow rate feedback regulation strategy is generated.

5. The cutting fluid automatic proportioning control system according to claim 3 is characterized in that: The step of obtaining the delay compensation signal is specifically as follows: Calling the cutting fluid flow feedback regulation strategy, collecting the monitoring value of the pressure sensor through the real-time flow meter, recording the response characteristics of the current flow regulation, distinguishing and quantifying the response delay time and the information transmission delay, combining the sampling time interval to calibrate the time deviation, and generating equipment response and signal transmission delay data; Based on the equipment response and signal transmission delay data, combined with the real-time flow value fed back by the flow meter and the pressure regulation hysteresis effect, the formula is adopted:

6. Calculate and obtain the delay compensation parameters; in, is the delay compensation amount, For device response delay, is the signal transmission delay, is the current regulation pressure, is the reference pressure, is the target flow; The delay compensation parameter is called and superimposed on the current control signal amplitude, and the delay compensation signal is obtained by recalculating the amplitude and time point of the compensated control signal.

7. The cutting fluid automatic proportioning control system according to claim 4, characterized in that: The steps for obtaining the flow regulation delay compensation control result are specifically as follows: Based on the delay compensation signal, extract the real-time flow monitoring data, calculate the time offset between the current flow output value and the target value point by point, record the time node difference and amplitude range, and obtain the flow regulation delay deviation data; Based on the flow regulation delay deviation data, extract the time offset and amplitude deviation value, call the flow regulator time control parameter, correct the trigger time node and amplitude output difference, and obtain the flow regulation compensation data; Based on the flow regulation compensation data, the flow regulator output amplitude is corrected, the corrected flow value is monitored in real time, the current flow is synchronously compared with the target value, and the flow regulation delay compensation control result is obtained.

8. The cutting fluid automatic proportioning control system according to claim 5, characterized in that: The steps for obtaining the dynamic adjustment strategy are specifically as follows: Based on the flow regulation delay compensation control result, combined with the real-time data of the wear sensor, the wear degree of the processing equipment and the workpiece is detected in real time, the data fed back by the temperature sensor, the pressure sensor and the flow meter are called, the temperature, pressure and flow change trends at the current time point are recorded, the temperature change rate, the pressure fluctuation amplitude and the flow deviation are calculated, the data are sorted, and a set of environmental parameter changes is generated; The environmental parameter change set is called, and the relationship between temperature change, pressure fluctuation and flow deviation is analyzed through the dynamic response characteristics of the flow controller, using the formula: Generate dynamic adjustment amount of flow regulator parameters; in, is the dynamic adjustment amount of the flow regulator parameters, is the temperature change value, is the pressure change value, is the deviation between the real-time flow and the target flow, and are the adjustment weights of temperature and pressure respectively, To adjust the sensitivity index; Based on the dynamic adjustment amount of the flow regulator parameter, the adjustment amount is applied to the control parameter of the current flow regulator, the control output value and the time point are calculated, and correction iteration is performed according to the flow feedback data to generate a dynamic adjustment strategy. The cutting fluid automatic proportioning control system according to claim 6 is characterized in that: The steps for obtaining the optimized cutting fluid ratio result are specifically as follows: Based on the dynamic adjustment strategy, concentration, temperature, flow rate, and pressure parameters are extracted, real-time values ​​of the production stage are collected, equipment parameters are read item by item and calibrated to remove abnormal values, and the required parameter set of the production stage is obtained; Based on the production stage demand parameter set, key parameters of concentration, temperature and flow rate are compared, and by setting the standard parameter range, the deviation value of the parameter is calculated item by item, the change trend and adjustment range of the current parameter are extracted, and the cutting fluid ratio adjustment parameter set is generated; Based on the cutting fluid ratio adjustment parameter set, the cutting fluid components are adjusted item by item, the component ratio is proportioned according to the correction value, the cutting fluid is stirred in real time and continuously tested to verify whether the parameter concentration and temperature reach the standard range, and the optimized cutting fluid ratio result is obtained. The cutting fluid automatic proportioning control system according to claim 7 is characterized in that: The steps for obtaining the optimized cutting fluid flow control scheme are specifically as follows: Based on the optimized cutting fluid ratio result, the feedback loop is called to monitor the flow and concentration data in real time, and the temperature, flow and concentration data are synchronized in time in combination with the ambient temperature change value and the current opening parameter of the control valve, and the instantaneous change rate and deviation amplitude of the parameters are analyzed to generate a set of dynamic environmental change parameters; According to the dynamic environmental change parameter set, the influence of temperature change, flow deviation and concentration deviation on flow control is analyzed, and the formula is adopted: Calculate the flow response adjustment amount and obtain the dynamic correction amount of the flow regulator; in, is the flow rate regulation response, is the temperature change value, is the concentration deviation value, is the deviation between the real-time flow and the target flow, , and are the response coefficients of temperature, concentration and flow rate, respectively, is the weight parameter; The dynamic correction amount of the flow regulator is called, the correction amount is input into the current flow control instruction, the opening value and flow output of the control valve are synchronously corrected, and the instruction is output through real-time control parameters to obtain an optimized cutting fluid flow control solution.

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