CN116214607A - Full-automatic die cutting control system and method for optical film material - Google Patents
Full-automatic die cutting control system and method for optical film material Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B26—HAND CUTTING TOOLS; CUTTING; SEVERING
- B26D—CUTTING; DETAILS COMMON TO MACHINES FOR PERFORATING, PUNCHING, CUTTING-OUT, STAMPING-OUT OR SEVERING
- B26D5/00—Arrangements for operating and controlling machines or devices for cutting, cutting-out, stamping-out, punching, perforating, or severing by means other than cutting
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B26—HAND CUTTING TOOLS; CUTTING; SEVERING
- B26D—CUTTING; DETAILS COMMON TO MACHINES FOR PERFORATING, PUNCHING, CUTTING-OUT, STAMPING-OUT OR SEVERING
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- B26D7/27—Means for performing other operations combined with cutting
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B26F—PERFORATING; PUNCHING; CUTTING-OUT; STAMPING-OUT; SEVERING BY MEANS OTHER THAN CUTTING
- B26F1/00—Perforating; Punching; Cutting-out; Stamping-out; Apparatus therefor
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Abstract
The invention relates to the technical field of die cutting machine control, in particular to a full-automatic die cutting control system and method based on an optical film material, comprising a film material die cutting acquisition unit, a film material die cutting operation processing unit, a processor, a film material die cutting monitoring and judging unit and a film material die cutting adjustment display unit; according to the invention, the data classification processing is carried out according to the collected related data, the related numerical values among different data are calculated, the operation conditions of the die cutting machine in multiple aspects are reflected according to the related data, the data in multiple different aspects are subjected to the related analysis calculation and the normalization processing, the numerical values are converted into the same numerical value, the operation coefficient calculation is conveniently carried out on the operation of the die cutting machine, the state judgment is carried out according to the operation coefficient, whether the abnormal state is carried out or not, the adjustment numerical values are reversely deduced, the accuracy of data analysis is improved, the time of data analysis is saved, the operation of the die cutting machine is monitored in real time, and the accuracy of the processing material of the die cutting machine is improved.
Description
Technical Field
The invention relates to the technical field of die cutting machine control, in particular to a full-automatic die cutting control system and method for an optical film material.
Background
The optical film material is characterized in that one or more layers of dielectric films or metal films or the combination of the two films are coated or coated on an optical element or an independent substrate so as to change the transmission characteristics of light waves, including projection, reflection, absorption, scattering, polarization, phase change and the like of light, and can be divided into a reflecting film, a polaroid, a diffusion film, a brightness enhancement film and a light filter.
At present, when the existing die cutting machine is operated, an operation parameter display controller of the die cutting machine is installed on the die cutting machine, and data adjustment can be performed on a display, but the display can only simply acquire the operation parameters of the die cutting machine, and whether the parameters of the die cutting machine need to be adjusted is judged by analyzing the cut product and the operation parameters by a technician.
The operation parameter display controller of the die cutting machine cannot automatically perform data analysis on collected data and comprehensively correlate and process multiple aspects of data, so that the result of data analysis is inaccurate, meanwhile, reverse deduction is performed according to the analysis result, and numerical values to be adjusted of various data are calculated.
Disclosure of Invention
The invention aims to provide a full-automatic die cutting control system and method for optical film materials, which are used for acquiring information of related data during operation of a die cutting machine, so that the related data of the die cutting machine are quickly acquired, the data are classified according to the acquired related data, so that the related numerical value among different data is calculated, the operation condition of the die cutting machine in multiple aspects is reflected according to the related data, the operation condition of the die cutting machine is conveniently and intuitively known, the data in multiple different aspects are subjected to related analysis and calculation, the multiple-aspect data are subjected to normalization processing, the numerical value is converted into the same numerical value, the operation of the die cutting machine is conveniently evaluated and calculated through the numerical value, the operation coefficient of the die cutting machine is analyzed, the state judgment is carried out according to the operation coefficient, whether the operation of the die cutting machine is abnormal or not is analyzed, the numerical value is reversely regulated according to the analysis and judgment result, the data analysis accuracy is increased, the data analysis time is saved, the operation of the die cutting machine is monitored in real time, and the accuracy of the processing material of the die cutting machine is increased.
The aim of the invention can be achieved by the following technical scheme: the full-automatic die-cutting control system for the optical film material comprises a film material die-cutting acquisition unit, a film material die-cutting operation processing unit, a processor, a film material die-cutting monitoring and judging unit and a film material die-cutting adjustment display unit;
the processor generates collecting signaling and sends the collecting signaling to the film die cutting collecting unit, the film die cutting collecting unit collects related data of the die cutting machine, the collected related data of the die cutting machine are marked as die cutting information, standard collecting processing operation is carried out according to the die cutting information to obtain a real module group, the real module group comprises module standard data, corresponding module time data, module temperature data, module optimal data, module inferior data and module loss data, and the processor generates operation signaling and sends the operation signaling to the film die cutting operation processing unit;
the film die cutting operation processing unit is used for processing data related to the die cutting machine, so that the operation state processing operation is carried out on the operation state of the die cutting machine, and an actual array is obtained, wherein the actual array comprises an actual machining efficiency value and an actual temperature rise speed value;
the processor generates a module judgment signal and sends the module judgment signal to the film die cutting monitoring judging unit, the film die cutting monitoring judging unit extracts data and converts numerical values of state data of the die cutting machine during operation, and module judgment calculation processing operation is carried out according to the extracted data to obtain a conversion array, wherein the conversion array comprises a module optimal conversion value, a module inferior conversion value and a damage influence value Ca;
The processor generates an adjusting signal and sends the adjusting signal to the film die-cutting adjusting display unit, the operating state represented by the numerical conversion of the die-cutting machine is adjusted and displayed on the control parameters of the die-cutting machine through the film die-cutting adjusting display unit, an adjusting array is obtained, the adjusting array is displayed, and the adjusting array comprises a safety signal, an adjusting signal and an expected calculated numerical value.
Further, the specific operation process of the label picking processing operation is as follows:
the method comprises the steps of obtaining die cutting information, and dividing the die cutting information into die mark data, die time data, modulus data, die temperature data, die best data, die inferior data and die loss data;
dividing corresponding module time data, modulus data, module temperature data, module optimal data, module inferior data and module loss data under module standard data;
the die mark data is represented as the type and number of the die cutting machine, the die time data is represented as the working time of the die cutting machine corresponding to the die mark data of the die cutting machine, the modulus data is represented as the total processing amount of the die cutting machine processing material corresponding to the die mark data of the die cutting machine, the die temperature data is represented as the temperature of the die cutting machine corresponding to the die mark data of the die cutting machine when in operation, the die quality data is represented as the qualified material of the die cutting machine processing material corresponding to the die mark data of the die cutting machine, the die failure data is represented as the failure time of the die cutting machine corresponding to the die mark data of the die cutting machine.
Further, the specific operation procedure of the running state processing operation is as follows:
dividing corresponding analog time data into a plurality of time periods according to the analog label data, calibrating each time period into time period data, dividing modulus data corresponding to the time period data into a plurality of modulus data, calibrating each modulus data into time quantity data, and carrying out efficiency processing on the time quantity data and the time period data to obtain an actual processing efficiency value;
extracting time period data and corresponding time period data and temperature data, dividing the time period corresponding to the time period data by the temperature data, dividing the sum of the temperature data in a plurality of time period data, calibrating the sum of the temperature data as time temperature data, and performing temperature processing on the time period data and the corresponding time temperature data to obtain a temperature rise actual value.
Further, the specific processing procedure for efficiency processing is as follows:
according to the calculation formula: machining efficiency = time data/time period data, calculating a plurality of machining efficiencies corresponding to each time data and time period data, calculating a mean value of the plurality of machining efficiencies, and calculating a machining efficiency mean value;
marking coordinate points of a plurality of machining efficiencies and machining efficiency averages in a plane rectangular coordinate system, taking the machining efficiency averages as judging standards, calibrating the machining efficiency above the machining efficiency averages as overflow efficiency, calibrating a period corresponding to the overflow efficiency as an overflow efficiency period, calibrating the machining efficiency below the machining efficiency averages as missing efficiency, and calibrating a period corresponding to the missing efficiency as a missing efficiency period;
Counting the occurrence times of the missing efficiency time period and the overflowing efficiency time period, marking the missing time period times and the overflowing time period times in sequence, calculating an overflowing ratio and a missing ratio according to the missing time period times and the overflowing time period times, calculating the actual machining efficiency value according to the overflowing ratio, the missing ratio and the machining efficiency mean value, and calculating the actual machining efficiency value.
Further, the specific process of temperature treatment is as follows:
according to the calculation formula: time period temperature mean value = time temperature data/time period data, calculating a plurality of time period temperature mean values corresponding to each time temperature data and the time period data, carrying out mean value calculation on the plurality of time period temperature mean values, and calculating time Wen Junzhi;
and marking coordinate points of numerical values of the die time data and the die temperature data in a plane rectangular coordinate system to obtain a die time and die temperature image, wherein the specific marking method comprises the following steps of: the method comprises the steps of calibrating analog time data to be X-axis values, calibrating analog temperature data to be Y-axis values, forming an analog time analog temperature image, marking an analog time analog temperature image of time Wen Junzhi to be a time temperature coordinate point, calibrating analog time data corresponding to the time temperature coordinate point to be a steady rise time point, calibrating a time period from a coordinate origin to the steady rise time point to be a steady rise time period, calibrating analog temperature data when the analog time data is zero to be initial temperature data, and calculating temperature rise speeds of the time Wen Junzhi, the initial temperature data and the steady rise time period to calculate Wen Shengsu values;
The initial temperature data and the time Wen Junzhi coordinate points are connected in a straight line, a connecting line formed by the straight line connection is marked as a real Wen Junxian, and the real temperature average line and the corresponding mode temperature data are analyzed, specifically: when the die temperature data corresponding to the same die time data are above the real temperature equalizing line, the coordinate point corresponding to the die temperature data is marked as a floating temperature coordinate point, and when the die temperature data corresponding to the same die time data are below the real temperature equalizing line, the coordinate point corresponding to the die temperature data is marked as a sinking temperature coordinate point;
counting the occurrence times of the floating temperature coordinate points and the sinking temperature coordinate points, calibrating the occurrence times into the floating temperature times and the sinking temperature times in sequence, calculating the duty ratio of the floating temperature times and the sinking temperature times, and calculating the floating temperature duty ratio and the sinking temperature duty ratio according to a calculation formula: the actual temperature rise rate value is calculated by the actual temperature rise rate value = the actual temperature rise rate value + the floating temperature ratio value-the floating temperature influence factor-the sinking temperature ratio value-the sinking temperature influence factor, wherein the floating temperature influence factor and the sinking temperature influence factor are both preset values.
Further, the specific operation process of the model judgment calculation processing operation is as follows:
selecting corresponding module data, module data and module time data according to the module data, counting the occurrence times of the module data and the module data, respectively calibrating the module data and the module data into module data and module data, calculating the module data and the module data by the ratio of the module data to the module data, and calculating the ratio of the module data to the module data;
Identifying the module time data corresponding to each occurrence of the module optimal data and the module time data, calibrating the module time data and the module time data into the optimal time data and the inferior time data in sequence, carrying out difference calculation on each two adjacent optimal time data or inferior time data, calculating a plurality of optimal time difference values and inferior time difference values, carrying out mean value calculation on the plurality of optimal time difference values, calculating an optimal time average difference value, carrying out difference calculation on the plurality of optimal time difference values and the optimal time average difference value, calculating a plurality of optimal difference values, carrying out mean value calculation on the plurality of optimal difference values, carrying out sum calculation and difference calculation on the optimal time average difference value and the optimal difference average value, calculating an optimal sum average difference value and an optimal difference average difference value, and calibrating the numerical value between the optimal sum average difference value and the optimal difference average difference value into an optimal time range value;
calculating average value calculation of a plurality of inferior time difference values, calculating an inferior time average difference value, calculating a plurality of inferior difference values by calculating difference values of the plurality of inferior time difference values and the inferior time average difference value, calculating an inferior difference average value by calculating average value of the plurality of inferior difference values, calculating sum calculation and difference calculation of the inferior time average difference value and the inferior difference average value, calculating an inferior sum average difference value and an inferior difference average difference value, and calibrating a numerical value between the sum average difference value and the inferior difference average difference value to be an inferior time range value;
Calculating a modulo-optimal conversion value by using the modulo-optimal ratio and the optimal time range value, wherein the modulo-optimal conversion value is calculated by using the specific calculation formula: modulo optimal conversion value = modulo optimal sub-occupation ratio value x optimal occupation threshold value + optimal time range value x optimal time threshold value, wherein the optimal occupation threshold value and the optimal time threshold value are both preset values;
calculating the modulus inferior conversion value by the modulus inferior ratio and the inferior time range value, wherein the specific calculation formula is as follows: the module inferior conversion value=module inferior sub-occupation ratio value, inferior occupation threshold value and inferior time range value, wherein the inferior occupation threshold value and the inferior time threshold value are preset values;
and extracting corresponding die loss data according to the die mark data, and performing abrasion treatment to obtain a damage influence value Ca.
Further, the specific process of performing the abrasion treatment is as follows:
counting the occurrence times of the pattern damage data, calibrating the occurrence times of the pattern damage data as a pattern damage time value, setting a damage threshold value, carrying out difference calculation on the pattern damage time value and the damage threshold value, calculating a pattern damage difference value, carrying out numerical identification marking on the pattern damage difference value, judging that the occurrence times of the pattern damage exceeds a preset value when the pattern damage difference value is more than or equal to zero, generating an excessive loss signal, and judging that the occurrence times of the pattern damage is lower than the preset value when the occurrence times of the pattern damage difference value is less than zero, and generating a low loss signal;
And identifying the excessive loss signal and the low loss signal, when the excessive loss signal is identified, giving an excessive influence value C1, when the low loss signal is identified, giving a low loss influence value C2, uniformly calibrating the excessive influence value C1 and the low loss influence value C2 as a damage influence value Ca, and taking the value of a as 1,2.
Further, the specific operation procedure of adjusting the display operation is as follows:
selecting corresponding actual machining efficiency value, actual temperature rise speed value, optimal modeling conversion value, inferior modeling conversion value and damage influence value Ca according to the model mark data, and marking the actual machining efficiency value as
The actual value of the temperature rise rate is marked +.>
Marking the MODULATION value as +.>
Marking the inferior conversion value as +.>
The value of j is a positive integer, and the marked numerical value is substituted into the calculation formula:
calculating the operation coefficient of the model mark
Wherein u1 is represented as a weight coefficient of an actual machining efficiency value, u2 is represented as a weight coefficient of an actual temperature rise rate value, e1 is represented as a weight coefficient of a modulo optimal conversion value, e2 is represented as a weight coefficient of a modulo inferior conversion value, and glc is represented as a calculated deviation correction factor of a modulo operation coefficient;
extracting the operation coefficient of the module mark
And the modulus run coefficient is +.>
Comparing with coefficient threshold M1, when ∈1 >
When M1 is not less than, generating a safety signal and displaying the safety signal, when +.>
When the value is less than M1, generating an adjusting signal;
and calculating a difference value between the modulus running coefficient and the coefficient threshold value according to the regulating signal, calculating a coefficient difference value, substituting the coefficient difference value into a calculation formula of the modulus running coefficient according to a change regulating value, calculating a calculation value corresponding to the machining efficiency actual value, the temperature rise actual value, the modulus optimal conversion value, the modulus inferior conversion value and the damage influence value, and calibrating the calculation value corresponding to the machining efficiency actual value, the temperature rise actual value, the modulus optimal conversion value, the modulus inferior conversion value and the damage influence value into an expected calculation value.
The full-automatic die cutting control method for the optical film material comprises the following steps:
step one: the method comprises the steps of collecting related data of a die cutting machine through a film die cutting collecting unit, marking the collected related data of the die cutting machine as die cutting information, and carrying out label collecting processing operation according to the die cutting information to obtain a real module group, wherein the real module group comprises module label data, corresponding module time data, module temperature data, module optimal data, module inferior data and module loss data;
step two: the film die cutting operation processing unit is used for processing data related to the die cutting machine, so that the operation state processing operation is carried out on the operation state of the die cutting machine, and an actual array is obtained, wherein the actual array comprises an actual machining efficiency value and an actual temperature rise speed value;
Step three: carrying out data extraction and numerical conversion on state data of the die cutting machine during operation through a film die cutting monitoring and judging unit, and carrying out a die judging calculation processing operation according to the extracted data to obtain a conversion array, wherein the conversion array comprises a die optimal conversion value, a die inferior conversion value and a damage influence value Ca;
step four: and adjusting and displaying control parameters of the die cutting machine through an operation state represented by numerical conversion of the die cutting machine by the film die cutting adjustment display unit to obtain an adjustment array, and displaying the adjustment array, wherein the adjustment array comprises a safety signal, an adjustment signal and an expected calculation numerical value.
The invention has the beneficial effects that:
according to the invention, the related data of the die cutting machine is acquired through information acquisition, the related data of the die cutting machine is acquired rapidly, the data is classified according to the acquired related data, so that the related numerical value among different data is calculated, the operation condition of the die cutting machine in multiple aspects is reflected according to the related data, the operation condition of the die cutting machine is conveniently and intuitively known, the data in multiple different aspects is subjected to related analysis and calculation, so that the multiple aspects of data are subjected to normalization processing, the numerical value is converted into the same numerical value, the operation of the die cutting machine is conveniently evaluated and calculated through the numerical value, the operation coefficient of the die cutting machine is analyzed, the state is judged according to the operation coefficient, so that whether the operation of the die cutting machine is abnormal is analyzed, the regulation numerical value is reversely deduced according to the analysis and judgment result, the accuracy of data analysis is improved, the time of data analysis is saved, the operation of the die cutting machine is monitored in real time, and the accuracy of the processing material of the die cutting machine is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses a full-automatic die-cutting control system and method for an optical film, comprising a film die-cutting acquisition unit, a film die-cutting operation processing unit, a processor, a film die-cutting monitoring and judging unit and a film die-cutting adjustment display unit;
the processor generates collecting signaling and sends the collecting signaling to the film die cutting collecting unit, the film die cutting collecting unit collects related data of the die cutting machine, the collected related data of the die cutting machine is marked as die cutting information, standard collecting processing operation is carried out according to the die cutting information to obtain a real module group, the real module group comprises module standard data, corresponding module time data, module temperature data, module optimal data, module inferior data and module loss data, the processor generates operation signaling and sends the operation signaling to the film die cutting operation processing unit, the film die cutting operation processing unit carries out data processing on the related data of the die cutting machine, thereby carrying out operation state processing operation on the operation state of the die cutting machine to obtain an actual group, the actual group comprises an actual processing efficiency value and an actual temperature rise speed value, the processor generates a module judging signal and sends the module judging signal to the film die cutting monitoring judging unit, the film die cutting monitoring judging unit extracts data and converts numerical values of state data of the die cutting machine during operation, and carries out module judging calculation processing operation according to the extracted data to obtain a conversion array, the conversion array comprises a module optimal conversion value, a module inferior conversion value and a damage influence value Ca, the processor generates an adjusting signal and sends the adjusting signal to the film die cutting adjusting display unit, the film die cutting adjusting display unit carries out adjustment display operation on control parameters of the die cutting machine according to the operation state represented by the numerical value conversion of the die cutting machine to obtain an adjusting array, the adjusting array is displayed, and the adjusting array comprises a safety signal, an adjusting signal and a predicted calculation value;
The film die cutting acquisition unit acquires data of die cutting information related to the die cutting machine according to the collecting signaling, and performs label collecting processing operation according to the die cutting information, wherein the specific operation process of the label collecting processing operation is as follows:
the method comprises the steps of obtaining die cutting information, calibrating the type and number of a die cutting machine in the die cutting information as die mark data, calibrating the working time of the die cutting machine corresponding to the die mark data of the die cutting machine in the die cutting information as die time data, calibrating the total processing amount of the die cutting machining material corresponding to the die mark data of the die cutting machine in the die cutting information as modulus data, calibrating the temperature of the die cutting machine corresponding to the die mark data of the die cutting machine in the die cutting information as die temperature data when in operation, calibrating the qualified material of the die cutting machining material corresponding to the die mark data of the die cutting machine in the die cutting information as die best data, calibrating the unqualified material of the die cutting machining material corresponding to the die mark data of the die cutting machine in the die cutting information as die bad data, and calibrating the damage time of the die cutting machine corresponding to the die mark data of the die cutting machine in the die cutting information as die damage data;
extracting module data, and rectifying corresponding module time data, modulus data, module temperature data, module data and module loss data according to the module data, namely dividing the corresponding module time data, modulus data, module temperature data, module data and module loss data under the module data, and calibrating the module data, the corresponding module time data, modulus data, module temperature data, module data and module loss data into a real module array;
The film die cutting operation processing unit extracts data according to the change condition of various data when the die cutting machine operates by an operation signaling, and performs operation state processing operation on the real-time working state of the die cutting machine according to die mark data, corresponding die time data, modulus data and die temperature data, wherein the specific operation process of the operation state processing operation is as follows:
dividing corresponding analog time data into a plurality of time periods according to the analog label data, calibrating each time period into time period data, dividing modulus data corresponding to the time period data into a plurality of modulus data, calibrating each modulus data into time quantity data, and carrying out efficiency processing on the time quantity data and the time period data, wherein the method specifically comprises the following steps of:
substituting each time amount data and time period data into a calculation formula: machining efficiency = time data/time period data, calculating a plurality of machining efficiencies, calculating a mean value of the plurality of machining efficiencies, and calculating a machining efficiency mean value;
marking coordinate points of a plurality of machining efficiencies and machining efficiency averages in a plane rectangular coordinate system, taking the machining efficiency averages as judging standards, calibrating the machining efficiency above the machining efficiency averages as overflow efficiency, calibrating a period corresponding to the overflow efficiency as an overflow efficiency period, calibrating the machining efficiency below the machining efficiency averages as missing efficiency, and calibrating a period corresponding to the missing efficiency as a missing efficiency period;
Counting the occurrence times of the missing period and the overflow period, and marking the occurrence times as the missing period times and the overflow period times in sequence according to a calculation formula: the overflow ratio=the overflow period number/(the missing period number+the overflow period number), the missing ratio=the missing period number/(the missing period number+the overflow period number), the overflow ratio and the missing ratio are calculated, the actual value of the machining efficiency is calculated by calculating the overflow ratio, the missing ratio and the average value of the machining efficiency, and the actual value of the machining efficiency is calculated by the specific calculation method: actual machining efficiency value = average machining efficiency value + overflow ratio value x overflow influence factor-missing ratio value x missing influence factor, wherein both the overflow influence factor and the missing influence factor are preset values;
extracting time period data and corresponding time period data and temperature data, dividing the time period corresponding to the time period data by the temperature data, dividing the total sum of the temperature data in a plurality of time period data, calibrating the total sum of each temperature data as time temperature data, and performing temperature processing on the time period data and the corresponding time temperature data, wherein the method specifically comprises the following steps of:
substituting each time period data and corresponding time temperature data into a calculation formula: time period temperature mean value = time temperature data/time period data, calculating a plurality of time period temperature mean values, calculating the time Wen Junzhi by carrying out mean value calculation on the plurality of time period temperature mean values;
And marking coordinate points of numerical values of the die time data and the die temperature data in a plane rectangular coordinate system to obtain a die time and die temperature image, wherein the specific marking method comprises the following steps of: the method comprises the steps of calibrating analog time data as an X-axis value, calibrating analog temperature data as a Y-axis value, forming an analog time analog temperature image, marking an analog time image at the analog time Wen Junzhi as a time temperature coordinate point, calibrating analog time data corresponding to the time temperature coordinate point as a steady rise time point, calibrating a time period from a coordinate origin to the steady rise time point as a steady rise time period, calibrating analog temperature data equal to zero at the analog time as initial temperature data, calculating the temperature rise speed of the analog time Wen Junzhi, the initial temperature data and the steady rise time period, and calculating Wen Shengsu values, wherein the specific calculation formula is as follows: wen Shengsu value = (time Wen Junzhi-initial temperature data)/steady rise period;
the initial temperature data and the time Wen Junzhi coordinate points are connected in a straight line, a connecting line formed by the straight line connection is marked as a real Wen Junxian, and the real temperature average line and the corresponding mode temperature data are analyzed, specifically: when the die temperature data corresponding to the same die time data are above the real temperature equalizing line, the coordinate point corresponding to the die temperature data is marked as a floating temperature coordinate point, and when the die temperature data corresponding to the same die time data are below the real temperature equalizing line, the coordinate point corresponding to the die temperature data is marked as a sinking temperature coordinate point;
Counting the occurrence times of the floating temperature coordinate points and the sinking temperature coordinate points, calibrating the occurrence times into the floating temperature times and the sinking temperature times in sequence, calculating the duty ratio of the floating temperature times and the sinking temperature times, and calculating the floating temperature duty ratio and the sinking temperature duty ratio, wherein the specific calculation formula is as follows: floating temperature ratio=floating temperature number/(floating temperature number+sinking Wen Cishu), sinking temperature ratio=sinking temperature number/(floating temperature number+sinking Wen Cishu), and temperature rise is carried out on the temperature rise value, the floating temperature ratio and the sinking temperature ratio to substitute the temperature rise into the calculation formula: calculating a temperature rise actual value, wherein the temperature rise actual value = temperature rise value + floating temperature ratio-floating temperature influence factor-sinking temperature ratio-sinking temperature influence factor, and the floating temperature influence factor and the sinking temperature influence factor are preset values;
calibrating the actual machining efficiency value and the actual temperature rise speed value into an actual array;
the film die cutting monitoring and judging unit extracts data according to the die cutting and judging signaling, and carries out die cutting and calculating processing operation according to the extracted die cutting and judging data, the die deterioration data, the die time data and the die loss data, wherein the specific operation process of the die cutting and calculating processing operation is as follows:
selecting corresponding module data, module data and module time data according to the module data, counting the occurrence times of the module data and the module data, respectively calibrating the module data and the module data into module data and module data, calculating the module data and the module data by the ratio of the module data to the module data, and calculating the module ratio and the module ratio, wherein the module data and the module data are calculated by the specific calculation formula: the modulus best ratio=modulus best data/(modulus best data+modulus inferior data), the modulus inferior ratio=modulus inferior data/(modulus best data+modulus inferior data);
Identifying the module time data corresponding to each occurrence of the module optimal data and the module time data, calibrating the module time data and the module time data into the optimal time data and the inferior time data in sequence, carrying out difference calculation on each two adjacent optimal time data or inferior time data, calculating a plurality of optimal time difference values and inferior time difference values, carrying out mean value calculation on the plurality of optimal time difference values, calculating an optimal time average difference value, carrying out difference calculation on the plurality of optimal time difference values and the optimal time average difference value, calculating a plurality of optimal difference values, carrying out mean value calculation on the plurality of optimal difference values, carrying out sum calculation and difference calculation on the optimal time average difference value and the optimal difference average value, calculating an optimal sum average difference value and an optimal difference average difference value, and calibrating the numerical value between the optimal sum average difference value and the optimal difference average difference value into an optimal time range value;
calculating average value calculation of a plurality of inferior time difference values, calculating an inferior time average difference value, calculating a plurality of inferior difference values by calculating difference values of the plurality of inferior time difference values and the inferior time average difference value, calculating an inferior difference average value by calculating average value of the plurality of inferior difference values, calculating sum calculation and difference calculation of the inferior time average difference value and the inferior difference average value, calculating an inferior sum average difference value and an inferior difference average difference value, and calibrating a numerical value between the sum average difference value and the inferior difference average difference value to be an inferior time range value;
Calculating a modulo-optimal conversion value by using the modulo-optimal ratio and the optimal time range value, wherein the modulo-optimal conversion value is calculated by using the specific calculation formula: modulo optimal conversion value = modulo optimal sub-occupation ratio value x optimal occupation threshold value + optimal time range value x optimal time threshold value, wherein the optimal occupation threshold value and the optimal time threshold value are both preset values;
calculating the modulus inferior conversion value by the modulus inferior ratio and the inferior time range value, wherein the specific calculation formula is as follows: the module inferior conversion value=module inferior sub-occupation ratio value, inferior occupation threshold value and inferior time range value, wherein the inferior occupation threshold value and the inferior time threshold value are preset values;
extracting corresponding model loss data according to model loss data, counting the occurrence times of the model loss data, calibrating the occurrence times of the model loss data as model loss values, setting a damage threshold value, carrying out difference calculation on the model loss values and the damage threshold value, calculating the model loss values, carrying out numerical identification marking on the model loss values, judging that the damage times exceed a preset value when the model loss values are larger than or equal to zero, generating an excessive loss signal, judging that the damage times are lower than the preset value when the model loss values are smaller than zero, generating a low loss signal, identifying the excessive loss signal and the low loss signal, giving an excessive influence value C1 when the excessive loss signal is identified, giving a low loss influence value C2 when the low loss signal is identified, and uniformly calibrating the excessive influence value C1 and the low loss influence value C2 as damage influence values Ca, wherein the value of a is 1 and 2;
Calibrating the optimal conversion value, the inferior conversion value and the damage influence value Ca into a conversion array;
the film die cutting adjustment display unit extracts a machining efficiency actual value, a temperature rise actual value, a die optimal conversion value, a die inferior conversion value and a damage influence value Ca according to an adjustment signaling, and adjusts and displays the extracted machining efficiency actual value, the temperature rise actual value, the die optimal conversion value, the die inferior conversion value and the damage influence value Ca, wherein the specific operation process of the adjustment and display operation is as follows:
selecting a corresponding actual machining efficiency value, a temperature rise actual value, a modulus optimal conversion value, a modulus inferior conversion value and a damage influence value Ca according to the modulus data, and according to a calculation formula:
calculating the operation coefficient of the model mark
Wherein->
Expressed as an actual machining efficiency value, and u1 is expressed as an actual machining efficiency valueWeight coefficient of value +_>
Expressed as a temperature rise actual value, u2 as a weight coefficient of the temperature rise actual value, ca as a damage influence value,>
expressed as a modulo optimal conversion value, e1 as a weight coefficient of the modulo optimal conversion value,/->
The value is expressed as a modulus inferior conversion value, e2 is expressed as a weight coefficient of the modulus inferior conversion value, glc is expressed as a calculation deviation correction factor of a modulus operation coefficient, j is a positive integer, and a is 1 and 2;
Extracting a module operation coefficient, comparing the module operation coefficient with a coefficient threshold, judging that the module operation coefficient is in a safety range when the module operation coefficient is greater than or equal to the coefficient threshold, generating a safety signal, displaying the safety signal, and judging that the module operation coefficient is abnormal when the module operation coefficient is smaller than the coefficient threshold, and generating an adjusting signal;
calculating a difference value between the modulus running coefficient and a coefficient threshold value according to the regulating signal, calculating a coefficient difference value, substituting the coefficient difference value into a calculation formula of the modulus running coefficient according to a change regulating value, calculating a calculation value corresponding to a machining efficiency actual value, a temperature rise actual value, a modulus optimal conversion value, a modulus inferior conversion value and a damage influence value, and calibrating the calculation value corresponding to the machining efficiency actual value, the temperature rise actual value, the modulus optimal conversion value, the modulus inferior conversion value and the damage influence value into a predicted calculation value;
and extracting an adjusting signal, displaying the adjusting signal and the calculated value according to the prediction, and sending the adjusting signal to the mobile terminal.
The full-automatic die cutting control method for the optical film material comprises the following steps:
step one: the method comprises the steps of collecting related data of a die cutting machine through a film die cutting collecting unit, marking the collected related data of the die cutting machine as die cutting information, and carrying out label collecting processing operation according to the die cutting information to obtain a real module group, wherein the real module group comprises module label data, corresponding module time data, module temperature data, module optimal data, module inferior data and module loss data;
Step two: the film die cutting operation processing unit is used for processing data related to the die cutting machine, so that the operation state processing operation is carried out on the operation state of the die cutting machine, and an actual array is obtained, wherein the actual array comprises an actual machining efficiency value and an actual temperature rise speed value;
step three: carrying out data extraction and numerical conversion on state data of the die cutting machine during operation through a film die cutting monitoring and judging unit, and carrying out a die judging calculation processing operation according to the extracted data to obtain a conversion array, wherein the conversion array comprises a die optimal conversion value, a die inferior conversion value and a damage influence value Ca;
step four: and adjusting and displaying control parameters of the die cutting machine through an operation state represented by numerical conversion of the die cutting machine by the film die cutting adjustment display unit to obtain an adjustment array, and displaying the adjustment array, wherein the adjustment array comprises a safety signal, an adjustment signal and an expected calculation numerical value.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (9)
1. The full-automatic die-cutting control system for the optical film material is characterized by comprising a film material die-cutting acquisition unit, a film material die-cutting operation processing unit, a processor, a film material die-cutting monitoring and judging unit and a film material die-cutting adjustment display unit;
the processor generates collecting signaling and sends the collecting signaling to the film die cutting collecting unit, the film die cutting collecting unit collects related data of the die cutting machine, the collected related data of the die cutting machine are marked as die cutting information, standard collecting processing operation is carried out according to the die cutting information to obtain a real module group, the real module group comprises module standard data, corresponding module time data, module temperature data, module optimal data, module inferior data and module loss data, and the processor generates operation signaling and sends the operation signaling to the film die cutting operation processing unit;
the film die cutting operation processing unit is used for processing data related to the die cutting machine, so that the operation state processing operation is carried out on the operation state of the die cutting machine, and an actual array is obtained, wherein the actual array comprises an actual machining efficiency value and an actual temperature rise speed value;
the processor generates a module judgment signal and sends the module judgment signal to the film die cutting monitoring judging unit, the film die cutting monitoring judging unit extracts data and converts numerical values of state data of the die cutting machine during operation, and module judgment calculation processing operation is carried out according to the extracted data to obtain a conversion array, wherein the conversion array comprises a module optimal conversion value, a module inferior conversion value and a damage influence value Ca;
The processor generates an adjusting signal and sends the adjusting signal to the film die-cutting adjusting display unit, the operating state represented by the numerical conversion of the die-cutting machine is adjusted and displayed on the control parameters of the die-cutting machine through the film die-cutting adjusting display unit, an adjusting array is obtained, the adjusting array is displayed, and the adjusting array comprises a safety signal, an adjusting signal and an expected calculated numerical value.
2. The full-automatic die-cutting control system of the optical film material according to claim 1, wherein the specific operation process of the label picking processing operation is as follows:
the method comprises the steps of obtaining die cutting information, and dividing the die cutting information into die mark data, die time data, modulus data, die temperature data, die best data, die inferior data and die loss data;
dividing corresponding module time data, modulus data, module temperature data, module optimal data, module inferior data and module loss data under module standard data;
the die mark data is represented as the type and number of the die cutting machine, the die time data is represented as the working time of the die cutting machine corresponding to the die mark data of the die cutting machine, the modulus data is represented as the total processing amount of the die cutting machine processing material corresponding to the die mark data of the die cutting machine, the die temperature data is represented as the temperature of the die cutting machine corresponding to the die mark data of the die cutting machine when in operation, the die quality data is represented as the qualified material of the die cutting machine processing material corresponding to the die mark data of the die cutting machine, the die failure data is represented as the failure time of the die cutting machine corresponding to the die mark data of the die cutting machine.
3. The full-automatic die-cutting control system for optical film materials according to claim 2, wherein the specific operation process of the running state processing operation is as follows:
dividing corresponding analog time data into a plurality of time periods according to the analog label data, calibrating each time period into time period data, dividing modulus data corresponding to the time period data into a plurality of modulus data, calibrating each modulus data into time quantity data, and carrying out efficiency processing on the time quantity data and the time period data to obtain an actual processing efficiency value;
extracting time period data and corresponding time period data and temperature data, dividing the time period corresponding to the time period data by the temperature data, dividing the sum of the temperature data in a plurality of time period data, calibrating the sum of the temperature data as time temperature data, and performing temperature processing on the time period data and the corresponding time temperature data to obtain a temperature rise actual value.
4. The full-automatic die-cutting control system for optical film materials according to claim 3, wherein the specific processing process for performing the efficiency processing is as follows:
according to the calculation formula: machining efficiency = time data/time period data, calculating a plurality of machining efficiencies corresponding to each time data and time period data, calculating a mean value of the plurality of machining efficiencies, and calculating a machining efficiency mean value;
Marking coordinate points of a plurality of machining efficiencies and machining efficiency averages in a plane rectangular coordinate system, taking the machining efficiency averages as judging standards, calibrating the machining efficiency above the machining efficiency averages as overflow efficiency, calibrating a period corresponding to the overflow efficiency as an overflow efficiency period, calibrating the machining efficiency below the machining efficiency averages as missing efficiency, and calibrating a period corresponding to the missing efficiency as a missing efficiency period;
counting the occurrence times of the missing efficiency time period and the overflowing efficiency time period, marking the missing time period times and the overflowing time period times in sequence, calculating an overflowing ratio and a missing ratio according to the missing time period times and the overflowing time period times, calculating the actual machining efficiency value according to the overflowing ratio, the missing ratio and the machining efficiency mean value, and calculating the actual machining efficiency value.
5. The full-automatic die-cutting control system for the optical film material according to claim 4, wherein the specific process of performing temperature treatment is as follows:
according to the calculation formula: time period temperature mean value = time temperature data/time period data, calculating a plurality of time period temperature mean values corresponding to each time temperature data and the time period data, carrying out mean value calculation on the plurality of time period temperature mean values, and calculating time Wen Junzhi;
And marking coordinate points of numerical values of the die time data and the die temperature data in a plane rectangular coordinate system to obtain a die time and die temperature image, wherein the specific marking method comprises the following steps of: the method comprises the steps of calibrating analog time data to be X-axis values, calibrating analog temperature data to be Y-axis values, forming an analog time analog temperature image, marking an analog time analog temperature image of time Wen Junzhi to be a time temperature coordinate point, calibrating analog time data corresponding to the time temperature coordinate point to be a steady rise time point, calibrating a time period from a coordinate origin to the steady rise time point to be a steady rise time period, calibrating analog temperature data when the analog time data is zero to be initial temperature data, and calculating temperature rise speeds of the time Wen Junzhi, the initial temperature data and the steady rise time period to calculate Wen Shengsu values;
the initial temperature data and the time Wen Junzhi coordinate points are connected in a straight line, a connecting line formed by the straight line connection is marked as a real Wen Junxian, and the real temperature average line and the corresponding mode temperature data are analyzed, specifically: when the die temperature data corresponding to the same die time data are above the real temperature equalizing line, the coordinate point corresponding to the die temperature data is marked as a floating temperature coordinate point, and when the die temperature data corresponding to the same die time data are below the real temperature equalizing line, the coordinate point corresponding to the die temperature data is marked as a sinking temperature coordinate point;
Counting the occurrence times of the floating temperature coordinate points and the sinking temperature coordinate points, calibrating the occurrence times into the floating temperature times and the sinking temperature times in sequence, calculating the duty ratio of the floating temperature times and the sinking temperature times, and calculating the floating temperature duty ratio and the sinking temperature duty ratio according to a calculation formula: the actual temperature rise rate value is calculated by the actual temperature rise rate value = the actual temperature rise rate value + the floating temperature ratio value-the floating temperature influence factor-the sinking temperature ratio value-the sinking temperature influence factor, wherein the floating temperature influence factor and the sinking temperature influence factor are both preset values.
6. The full-automatic die-cutting control system for the optical film material according to claim 5, wherein the specific operation process of the die-judging calculation processing operation is as follows:
selecting corresponding module data, module data and module time data according to the module data, counting the occurrence times of the module data and the module data, respectively calibrating the module data and the module data into module data and module data, calculating the module data and the module data by the ratio of the module data to the module data, and calculating the ratio of the module data to the module data;
identifying the module time data corresponding to each occurrence of the module optimal data and the module time data, calibrating the module time data and the module time data into the optimal time data and the inferior time data in sequence, carrying out difference calculation on each two adjacent optimal time data or inferior time data, calculating a plurality of optimal time difference values and inferior time difference values, carrying out mean value calculation on the plurality of optimal time difference values, calculating an optimal time average difference value, carrying out difference calculation on the plurality of optimal time difference values and the optimal time average difference value, calculating a plurality of optimal difference values, carrying out mean value calculation on the plurality of optimal difference values, carrying out sum calculation and difference calculation on the optimal time average difference value and the optimal difference average value, calculating an optimal sum average difference value and an optimal difference average difference value, and calibrating the numerical value between the optimal sum average difference value and the optimal difference average difference value into an optimal time range value;
Calculating average value calculation of a plurality of inferior time difference values, calculating an inferior time average difference value, calculating a plurality of inferior difference values by calculating difference values of the plurality of inferior time difference values and the inferior time average difference value, calculating an inferior difference average value by calculating average value of the plurality of inferior difference values, calculating sum calculation and difference calculation of the inferior time average difference value and the inferior difference average value, calculating an inferior sum average difference value and an inferior difference average difference value, and calibrating a numerical value between the sum average difference value and the inferior difference average difference value to be an inferior time range value;
calculating a modulo-optimal conversion value by using the modulo-optimal ratio and the optimal time range value, wherein the modulo-optimal conversion value is calculated by using the specific calculation formula: modulo optimal conversion value = modulo optimal sub-occupation ratio value x optimal occupation threshold value + optimal time range value x optimal time threshold value, wherein the optimal occupation threshold value and the optimal time threshold value are both preset values;
calculating the modulus inferior conversion value by the modulus inferior ratio and the inferior time range value, wherein the specific calculation formula is as follows: the module inferior conversion value=module inferior sub-occupation ratio value, inferior occupation threshold value and inferior time range value, wherein the inferior occupation threshold value and the inferior time threshold value are preset values;
and extracting corresponding die loss data according to the die mark data, and performing abrasion treatment to obtain a damage influence value Ca.
7. The full-automatic die-cutting control system for optical film materials according to claim 6, wherein the specific process of performing the abrasion treatment is as follows:
counting the occurrence times of the pattern damage data, calibrating the occurrence times of the pattern damage data as a pattern damage time value, setting a damage threshold value, carrying out difference calculation on the pattern damage time value and the damage threshold value, calculating a pattern damage difference value, carrying out numerical identification marking on the pattern damage difference value, judging that the occurrence times of the pattern damage exceeds a preset value when the pattern damage difference value is more than or equal to zero, generating an excessive loss signal, and judging that the occurrence times of the pattern damage is lower than the preset value when the occurrence times of the pattern damage difference value is less than zero, and generating a low loss signal;
and identifying the excessive loss signal and the low loss signal, when the excessive loss signal is identified, giving an excessive influence value C1, when the low loss signal is identified, giving a low loss influence value C2, uniformly calibrating the excessive influence value C1 and the low loss influence value C2 as a damage influence value Ca, and taking the value of a as 1,2.
8. The full-automatic die-cutting control system for optical film materials according to claim 7, wherein the specific operation process for adjusting the display operation is as follows:
selecting corresponding actual machining efficiency value, actual temperature rise speed value, optimal modeling conversion value, inferior modeling conversion value and damage influence value Ca according to the model mark data, and marking the actual machining efficiency value as 
The actual value of the temperature rise rate is marked +.>
Marking the MODULATION value as +.>
Marking the inferior conversion value as +.>
The value of j is a positive integer, and the marked numerical value is substituted into the calculation formula:
calculating the operation coefficient of the model mark
Wherein u1 is represented as a weight coefficient of an actual machining efficiency value, u2 is represented as a weight coefficient of an actual temperature rise rate value, e1 is represented as a weight coefficient of a modulo optimal conversion value, e2 is represented as a weight coefficient of a modulo inferior conversion value, and glc is represented as a calculated deviation correction factor of a modulo operation coefficient;
extracting the operation coefficient of the module mark
And the modulus run coefficient is +.>
Coefficient of andthe threshold M1 is compared, when +.>
When M1 is not less than, generating a safety signal and displaying the safety signal, when +.>
When the value is less than M1, generating an adjusting signal;
and calculating a difference value between the modulus running coefficient and the coefficient threshold value according to the regulating signal, calculating a coefficient difference value, substituting the coefficient difference value into a calculation formula of the modulus running coefficient according to a change regulating value, calculating a calculation value corresponding to the machining efficiency actual value, the temperature rise actual value, the modulus optimal conversion value, the modulus inferior conversion value and the damage influence value, and calibrating the calculation value corresponding to the machining efficiency actual value, the temperature rise actual value, the modulus optimal conversion value, the modulus inferior conversion value and the damage influence value into an expected calculation value.
9. The full-automatic die-cutting control method for the optical film material is characterized by comprising the following steps of:
step one: the method comprises the steps of collecting related data of a die cutting machine through a film die cutting collecting unit, marking the collected related data of the die cutting machine as die cutting information, and carrying out label collecting processing operation according to the die cutting information to obtain a real module group, wherein the real module group comprises module label data, corresponding module time data, module temperature data, module optimal data, module inferior data and module loss data;
step two: the film die cutting operation processing unit is used for processing data related to the die cutting machine, so that the operation state processing operation is carried out on the operation state of the die cutting machine, and an actual array is obtained, wherein the actual array comprises an actual machining efficiency value and an actual temperature rise speed value;
step three: carrying out data extraction and numerical conversion on state data of the die cutting machine during operation through a film die cutting monitoring and judging unit, and carrying out a die judging calculation processing operation according to the extracted data to obtain a conversion array, wherein the conversion array comprises a die optimal conversion value, a die inferior conversion value and a damage influence value Ca;
step four: and adjusting and displaying control parameters of the die cutting machine through an operation state represented by numerical conversion of the die cutting machine by the film die cutting adjustment display unit to obtain an adjustment array, and displaying the adjustment array, wherein the adjustment array comprises a safety signal, an adjustment signal and an expected calculation numerical value.
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