CN115048556A - Method and system for monitoring state of protective lens of laser cutting machine - Google Patents
Method and system for monitoring state of protective lens of laser cutting machine Download PDFInfo
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Abstract
The invention provides a method and a system for monitoring the state of a protective lens of a laser cutting machine, which relate to the technical field of monitoring devices of control systems, and the method comprises the following steps: acquiring basic data information of a protective lens of a laser cutting machine; performing state evaluation to obtain a first estimated state; acquiring a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set; evaluating the state to obtain a second estimated state; acquiring usage log record information; acquiring a comprehensive estimated state by using log record information; and acquiring a real-time state monitoring estimation result. The technical problem that the state of the protective lens of the laser cutting machine is low in evaluation precision and cannot be replaced and maintained in time is solved, the state of the protective lens of the multi-dimensional intelligent evaluation laser cutting machine is achieved, the evaluation precision of the state of the protective lens is improved, the state of the protective lens is updated in real time, and the technical effect that relevant managers can replace and maintain the protective lens in time is assisted.
Description
Technical Field
The invention relates to the technical field of monitoring devices of control systems, in particular to a method and a system for monitoring the state of a protective lens of a laser cutting machine.
Background
The protective lens of the laser cutting machine is used for preventing dust and splash from damaging the focusing lens, and is necessary for other laser equipment except the laser cutting machine, the other laser equipment comprises laser marking, laser welding, laser engraving and other related laser equipment, the protective lens of the laser cutting machine is a quick-wear part and can be cleaned regularly to achieve the purpose of being used repeatedly, however, an anti-reflection film is arranged on the surface of the protective lens of the laser cutting machine, the protective lens is afraid of pollution, humidity, oiliness and scratch, and dry and deoiled air needs to be provided in the working process, and the protective lens of the laser cutting machine cannot be directly taken by hands.
Through the protection lens state monitoring system, the protection lens is detected in real time, and the state of the protection lens can be guaranteed to meet the use requirement of the laser cutting machine to the maximum extent.
The state evaluation precision of the protective lens of the laser cutting machine is low in the prior art, so that the protective lens cannot be replaced and maintained in time.
Disclosure of Invention
The application provides the method and the system for monitoring the state of the protective lens of the laser cutting machine, so that the technical problem that the protective lens cannot be replaced and maintained in time due to low evaluation precision of the state of the protective lens of the laser cutting machine is solved, the state of the protective lens of the laser cutting machine can be intelligently evaluated in a multidimensional manner, the evaluation precision of the state of the protective lens is improved, the state of the protective lens is updated in real time, and the technical effect that relevant managers can replace and maintain the protective lens in time is assisted.
In view of the above problems, the present application provides a method and a system for monitoring the state of a protective lens of a laser cutting machine.
In a first aspect of the present application, a method for monitoring the status of a protective lens of a laser cutting machine is provided, wherein the method is applied to a status monitoring system embedded with a data retrieval engine, and the method includes: acquiring basic data information of a protective lens of a laser cutting machine, wherein the basic data information of the protective lens comprises lens model information, lens overall dimension information, lens material information and lens coating technical parameter information; evaluating the state of the protective lens according to the lens overall dimension information, the lens material information and the lens coating technical parameter information to obtain a first estimated state of the protective lens; performing parameter index retrieval on the processing process of the protective lens based on the lens model information through the data retrieval engine to obtain a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set; evaluating the state of the protective lens according to the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set to obtain a second estimated state of the protective lens; acquiring use log record information of the protective lens through the state monitoring system; adjusting the first estimated state and the second estimated state through the use log record information to obtain a comprehensive estimated state; and correcting parameters by combining the comprehensive estimated state with real-time detection data to obtain a real-time state monitoring estimated result of the protective lens.
In a second aspect of the present application, there is provided a protective lens condition monitoring system of a laser cutting machine, wherein the system includes: the data acquisition unit is used for acquiring basic data information of a protective lens of the laser cutting machine, wherein the basic data information of the protective lens comprises lens model information, lens overall dimension information, lens material information and lens coating technical parameter information; the first state evaluation unit is used for evaluating the state of the protective lens according to the lens overall dimension information, the lens material information and the lens coating technical parameter information to obtain a first estimated state of the protective lens; a parameter retrieval unit, configured to perform parameter index retrieval on the processing procedure of the protective lens based on the lens model information through a data retrieval engine, and acquire a lens cutting parameter set, a lens polishing parameter set, and a lens chamfering parameter set; a second state evaluation unit, configured to evaluate a state of the protective lens according to the lens cutting parameter set, the lens polishing parameter set, and the lens chamfering parameter set, and obtain a second estimated state of the protective lens; the log record acquisition unit is used for acquiring the use log record information of the protective lens through the state monitoring system; the index adjusting unit is used for adjusting the first estimated state and the second estimated state through the use log record information to obtain a comprehensive estimated state; and the parameter correction unit is used for correcting parameters by combining the comprehensive estimated state with real-time detection data to obtain a real-time state monitoring estimated result of the protective lens.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the basic data information of the protective lens of the laser cutting machine is obtained; evaluating the state of the protective lens to obtain a first estimated state of the protective lens; acquiring a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set; evaluating the state of the protective lens to obtain a second estimated state of the protective lens; acquiring the use log record information of the protective lens through the state monitoring system; acquiring a comprehensive estimated state through the use log record information; and correcting parameters by combining the comprehensive estimated state with real-time detection data to obtain a real-time state monitoring estimated result of the protective lens. The embodiment of the application achieves the technical effects that the state of the protective lens of the multi-dimensional intelligent assessment laser cutting machine is evaluated, the state assessment precision of the protective lens is improved, the state of the protective lens is updated in real time, and relevant managers are assisted to replace and maintain the protective lens in time.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for monitoring the state of a protective lens of a laser cutting machine according to the present application;
fig. 2 is a schematic flow chart illustrating a method for monitoring a state of a protective lens of a laser cutting machine according to the present invention to obtain plane mapping image data;
fig. 3 is a schematic flow chart illustrating a flow field estimation information acquisition process of a method for monitoring a state of a protective lens of a laser cutting machine according to the present application;
fig. 4 is a schematic structural diagram of a protective lens condition monitoring system of a laser cutting machine according to the present application.
Description of reference numerals: the system comprises a data acquisition unit 11, a first state evaluation unit 12, a parameter retrieval unit 13, a second state evaluation unit 14, a log record acquisition unit 15, an index adjustment unit 16 and a parameter correction unit 17.
Detailed Description
The application provides the method and the system for monitoring the state of the protective lens of the laser cutting machine, so that the technical problem that the protective lens cannot be replaced and maintained in time due to low evaluation precision of the state of the protective lens of the laser cutting machine is solved, the state of the protective lens of the laser cutting machine can be intelligently evaluated in a multidimensional manner, the evaluation precision of the state of the protective lens is improved, the state of the protective lens is updated in real time, and the technical effect that relevant managers can replace and maintain the protective lens in time is assisted.
Example one
As shown in fig. 1, the present application provides a method for monitoring the status of a protective lens of a laser cutting machine, wherein the method is applied to a status monitoring system embedded with a data retrieval engine, and the method comprises:
step S100: acquiring basic data information of a protective lens of a laser cutting machine, wherein the basic data information of the protective lens comprises lens model information, lens overall dimension information, lens material information and lens coating technical parameter information;
in particular, the protective lens of the laser cutting machine is used for preventing dust and slag spattering from damaging a focusing lens, scanning and extracting parameter information through related parameter indications in the product details of the protective lens, identifying and confirming basic data information of the protective lens, the basic data information of the protective lens comprises lens model information, lens outline dimension information, lens material information and lens coating technical parameter information, common antireflection films with high damage threshold (damage threshold is more than 15J/cm) need to be crossed on two sides to reduce the reflection of the protective lens, in the coating process, the equipment model information and the coating equipment operation parameter information of the coating equipment of the protective lens are extracted, and the equipment model information and the coating equipment operation parameter information are set as lens coating technical parameter information to provide a data base for subsequent data processing.
Step S200: evaluating the state of the protective lens according to the lens overall dimension information, the lens material information and the lens coating technical parameter information to obtain a first estimated state of the protective lens;
further, as shown in fig. 2, according to the lens overall dimension information, the lens material information and the lens coating technical parameter information, the state of the protective lens is evaluated to obtain a first estimated state of the protective lens, and the step S200 further includes:
step S210: acquiring laser antireflection film information of the protective lens;
step S220: acquiring a lens coating technical parameter interval by combining the lens overall dimension information and the lens material information according to the laser antireflection film information;
step S230: judging whether the lens coating technical parameter information meets the lens coating technical parameter interval or not;
step S240: if the first-order deviation correlation index of the lens size coating and the first-order deviation correlation index of the lens material coating are met, performing deviation correlation analysis according to the lens overall dimension information, the lens material information and the lens coating technical parameter information, and respectively obtaining a first-order deviation correlation index of the lens size coating and a first-order deviation correlation index of the lens material coating;
step S250: and evaluating the state of the protective lens through the first-order deviation correlation index of the lens size coating and the first-order deviation correlation index of the lens material coating to obtain a first estimated state of the protective lens.
Specifically, in the embodiment of the present application, for convenience of solution description, a "protective lens" is simplified to a "lens", a state of the protective lens is comprehensively evaluated through correlation analysis and partial correlation analysis based on data types of the lens overall dimension information, the lens material information, and the lens coating technical parameter information, a state evaluation result is set to be a first estimated state of the protective lens, and the first estimated state is lens state evaluation information determined by deriving a lens basic index parameter, so as to provide support for performing state evaluation of the protective lens.
Specifically, the data retrieval engine is used for retrieving data to obtain laser antireflection film information of the protective lens, the laser antireflection film information includes but is not limited to damage threshold information, refractive index information and material information, parameter matching is performed through historical data of the coating equipment based on the lens external dimension information and the lens material information to obtain a lens coating technical parameter interval of the coating equipment, parameter index limiting extraction is performed through the laser antireflection film information, the lens external dimension information and the lens material information to obtain historical data of the coating equipment, the lens coating technical parameter interval includes an interval parameter upper limit and an interval parameter lower limit, the lens coating technical parameter interval can be a deposition rate interval, a friction coefficient interval and other parameter intervals, the interval parameter upper limit of the deposition rate interval is a historical deposition rate upper limit corresponding to the historical data of the coating equipment, the lower limit of the interval parameter of the deposition rate interval, the upper limit of the interval parameter of the friction coefficient interval, the lower limit of the interval parameter of the friction coefficient interval and the upper limit of the interval parameter of the deposition rate interval are obtained in the same manner, and the details are not repeated here.
Specifically, after the lens coating technical parameter interval is determined, whether the lens coating technical parameter information is in the lens coating technical parameter interval is judged; if the lens coating technical parameter information is in the lens coating technical parameter interval, processing the lens overall dimension information, the lens coating technical parameter information and the lens material information through relevant data preprocessing algorithms such as standardization processing and the like to obtain lens overall dimension preprocessing information, lens coating technical parameter preprocessing information and lens material preprocessing information, respectively performing partial correlation analysis on the lens overall dimension preprocessing information, the lens coating technical parameter preprocessing information, the lens material preprocessing information and the lens coating technical parameter preprocessing information, and correspondingly obtaining a lens dimension coating first-order partial correlation index and a lens material coating first-order partial correlation index; the first estimated state of the protective lens is obtained, the relevance between parameter indexes is reduced by performing partial correlation analysis, the accuracy reduction of an estimation result caused by the error of a certain index is avoided, technical support is provided for comprehensive index estimation, and the stability of the first estimated state is improved.
Further, the step S250 of evaluating the state of the protective lens by using the first-order deviation correlation index of the lens size coating and the first-order deviation correlation index of the lens material coating to obtain a first estimated state of the protective lens further includes:
step S251: performing correlation analysis on the first-order correlation index of the lens size coating film and the first-order correlation index of the lens material coating film to obtain a first-order correlation coefficient;
step S252: judging whether the first-order correlation coefficient meets an initial correlation coefficient;
step S253: if yes, setting the first-order correlation coefficient as a first estimated state of the protective lens;
step S254: if not, performing partial correlation analysis to respectively obtain a second-order partial correlation index of lens size coating and a second-order partial correlation index of lens material coating;
step S255: and taking the setting of the first estimated state as a repeated termination condition, and performing cyclic operation to obtain a cyclic output, wherein the cyclic output is the first estimated state.
Specifically, an initial correlation coefficient is obtained, the initial correlation coefficient is a preset index of a manager related to the state monitoring system, correlation analysis is performed on the first-order partial correlation index of the lens size coating and the first-order partial correlation index of the lens material coating, a correlation analysis result is obtained, and the correlation analysis result is set as the first-order correlation coefficient; judging whether the first-order correlation coefficient meets the initial correlation coefficient; if the first-order correlation coefficient meets the initial correlation coefficient, setting the first-order correlation coefficient as a first estimated state of the protective lens; if the first-order correlation coefficient does not meet the initial correlation coefficient, respectively performing second-order partial correlation analysis on the lens external dimension pretreatment information, the lens coating technical parameter pretreatment information, the lens material pretreatment information and the lens coating technical parameter pretreatment information to correspondingly obtain a lens dimension coating second-order partial correlation index and a lens material coating second-order partial correlation index, and performing correlation analysis on the lens dimension coating second-order partial correlation index and the lens material coating second-order partial correlation index to obtain a second-order correlation coefficient; and setting a circulation body, repeatedly performing correlation analysis and partial correlation analysis, performing circulation operation by using the circulation body to finish the setting of the first estimated state as a repeated termination condition, and acquiring circulation body output, wherein the circulation body output is the first estimated state.
Step S300: performing parameter index retrieval on the processing process of the protective lens based on the lens model information through the data retrieval engine to obtain a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set;
step S400: evaluating the state of the protective lens according to the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set to obtain a second estimated state of the protective lens;
specifically, in the processing process of the protective lens, the lens model information is used as index retrieval data, the index retrieval data is input to the data retrieval engine to perform parameter index retrieval, a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set are obtained, the lens cutting parameter set comprises a plurality of lens cutting parameters and a plurality of lens position information, the lens position information is the actual position information of the protective lens corresponding to the lens cutting parameters, the lens polishing parameter set comprises lens position data corresponding to polishing parameters, the lens chamfering parameter set comprises lens position data corresponding to chamfering parameters, the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set are subjected to data screening to obtain data screening results, and radar map synapse analysis is performed on the three-dimensional image data of the protective lens and the data screening results, the method comprises the steps of drawing three-dimensional image data of the protective lens and data screening results on a radar map, mainly carrying out multi-dimensional analysis on the data screening results to obtain radar map analysis results of the protective lens, setting the radar map analysis results as a second estimated state of the protective lens, and providing a basis for comprehensively evaluating the state of the protective lens and improving the reliability of the second estimated state.
Further, according to the lens cutting parameter set, the lens polishing parameter set, and the lens chamfering parameter set, the state of the protective lens is evaluated, and a second estimated state of the protective lens is obtained, and the step S400 further includes:
step S410: performing association storage on the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set, and storing the association of the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set in a primary screening unit of a parameter screening model;
step S420: screening the associated storage data in the preliminary screening unit through the parameter screening model to obtain an associated parameter screening result;
step S430: and evaluating the state of the protective lens according to the screening result of the associated parameters to obtain a second estimated state of the protective lens.
Specifically, the method comprises the steps of performing association binding on a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set through a corresponding relation of actual position information of a protective lens to obtain an association binding data set, wherein the cutting parameter, the polishing parameter and the chamfering parameter of a point A of the protective lens are elements of the association binding data set, storing the association binding data set in a primary screening unit of a parameter screening model, the parameter screening model is a data screening model, the primary screening unit is used for storing data to be subjected to screening processing, screening the association binding data set through the functionality of the parameter screening model to obtain a data screening result, and setting the data screening result as an association parameter screening result; and performing radar map synapse analysis through the three-dimensional image data of the protective lens and the associated parameter screening result, comprehensively evaluating the state of the protective lens, obtaining a second estimated state of the protective lens, performing data binding processing operation, and providing a basis for subsequent data associated screening.
Further, the step S420 of screening the associated stored data in the preliminary screening unit through the parameter screening model to obtain an associated parameter screening result further includes:
step S421: performing K equal division on the associated storage data in the primary screening unit to obtain K groups of associated parameter subsets;
step S422: performing random extraction on a first group of associated parameter subsets with playback for M times to obtain M first sampling associated parameter sets, wherein the first group of associated parameter subsets is any one group of associated parameter subsets in the K groups of associated parameter subsets;
step S423: respectively calculating the information entropies of the M first sampling associated parameter sets to obtain M sampling associated information entropies;
step S424: respectively comparing the M sampling associated information entropies with the information entropies of the first group of associated parameter subsets, and judging whether the associated information entropies are equal;
step S425: if the associated information entropies are equal, performing parameter screening on the first group of associated parameter subsets to obtain a first group of associated primary screening subsets;
step S426: and repeating the data screening process, and screening the data of the K groups of associated parameter subsets to obtain associated parameter screening results.
Specifically, data K (K belongs to N and K is not more than the number of elements of the associated binding data set) is equally divided, an equally divided result is obtained, and the equally divided result is set as a K-group associated parameter subset; performing random extraction with M times (M belongs to N and M is not more than the number of elements of the first group of associated parameter subsets) with return on a first group of associated parameter subsets, wherein the first group of associated parameter subsets are any one group of associated parameter subsets in the K groups of associated parameter subsets, acquiring M first sampling associated parameter sets after the random extraction of the first group of associated parameter subsets is finished, calculating the information entropy of the first group of associated parameter subsets, and respectively calculating the information entropy of the M first sampling associated parameter sets to acquire M sampling associated information entropies; sequentially and respectively comparing the M sampling associated information entropies with the information entropies of the first group of associated parameter subsets, and judging whether the M sampling associated information entropies have the state that the information entropies of the first group of associated parameter subsets are equal; if M sample associated information entropies exist and the information entropies of the first group of associated parameter subsets are equal, setting any sample associated information entropy with equal information entropy as A sample associated information entropy, determining a corresponding set of A sample association parameters, comparing the set of A sample association parameters with the first set of association parameter subsets, and transmitting the set of A sample association parameters back through a data screening channel, resetting the first group of associated parameter subsets to set to A sample associated parameter sets, repeating the above operations, performing parameter screening on the first group of associated parameter subsets, obtaining screening results of the first group of associated parameter subsets when M sampling associated information entropies do not exist in the state that the information entropies of the first group of associated parameter subsets are equal, and setting the screening results of the first group of associated parameter subsets as a first group of associated primary screening subsets; and synchronously carrying out data screening on the K groups of associated parameter subsets to obtain associated parameter screening results, providing technical support for ensuring the effectiveness of data information, and reducing the low data operation processing efficiency caused by data redundancy.
Further, the embodiment of the present application further includes:
step S426-1: after the associated parameters in the preliminary screening unit are stored, acquiring a data screening initialization signal;
step S426-2: performing K-equal division on the associated parameters in the preliminary screening unit by combining the data screening initialization signal and preset data screening information to obtain K groups of associated parameter subsets;
step S426-3: matching the preset data screening information to obtain a data screening parameter index of the parameter screening model;
step S426-4: synchronously performing parameter setting on K data screening channels of the parameter screening model through the data screening parameter indexes, and acquiring data screening processing signals after parameter setting is completed;
step S426-5: and synchronously performing data screening on the K groups of associated parameter subsets based on the K data screening channels through the data screening processing signals to obtain associated parameter screening results.
Specifically, in the process of synchronously performing data screening on the K groups of associated parameter subsets, a control signal of related equipment needs to be combined to assist the execution of a data screening process, and after the primary screening unit completes data associated storage, a data screening initialization signal is obtained, where the data screening initialization signal is used to perform initialization setting on the parameter screening model; the preset data screening information is the upper and lower limits of the number of elements of the K groups of associated parameter subsets, the times of reverse transmission and resetting setting of a data screening channel are limited by a threshold value through the preset data screening information, the phenomenon that the operation processing efficiency of the parameter screening model cannot be guaranteed due to the fact that the reverse transmission and resetting setting are carried out for multiple times is avoided, and after the initialization setting of the parameter screening model is completed, the associated parameters in the primary screening unit are subjected to K equal division through the data screening initialization signal and the preset data screening information to obtain the K groups of associated parameter subsets; performing parameter matching through upper and lower limits of the number of elements corresponding to the preset data screening information to obtain a data screening parameter index of the parameter screening model, wherein the data screening parameter index is a set parameter of K data screening channels of the parameter screening model, the data screening channel is a data operation bidirectional transmission channel, the K data screening channels of the parameter screening model are synchronously subjected to parameter setting through the set parameter of the K data screening channels to provide support for the K data screening channels to synchronously perform data screening, and after parameter setting is completed, a data screening processing signal is obtained and used for controlling the parameter screening model to start screening processing; and synchronously carrying out data screening on the K groups of associated parameter subsets to obtain the output of the parameter screening model, and setting the output of the parameter screening model as an associated parameter screening result. The data screening initialization signal and the data screening processing signal assist in synchronous data screening processing, and technical support is provided for guaranteeing the screening processing efficiency of the parameter screening model.
Step S500: acquiring the use log record information of the protective lens through the state monitoring system;
step S600: adjusting the first estimated state and the second estimated state through the use log record information to obtain a comprehensive estimated state;
specifically, the state monitoring system is used for extracting data and acquiring the use log record information of the protective lens, the usage log information includes but is not limited to lens disassembly records, lens assembly records, the log record information is normalized by an objective weighting method such as an entropy weighting method, performing weight calculation on the result obtained by the normalization processing, evaluating the use loss condition of the protective lens in the log record information, carrying out non-dimensionalization processing on the first estimated state and the second estimated state, and calculating the result through weight, and carrying out weighting adjustment on the non-dimensionalized processing result to obtain a comprehensive estimation state, carrying out non-dimensionalized processing to eliminate the influence of dimension, variable self variation and numerical value size, and providing support for balancing index difference and improving the stability of the comprehensive estimation state.
Step S700: and correcting parameters by combining the comprehensive estimated state with real-time detection data to obtain a real-time state monitoring estimated result of the protective lens.
Further, as shown in fig. 3, by using the comprehensive estimated state and combining with real-time detection data, parameter correction is performed to obtain a real-time state monitoring estimated result of the protective lens, and step S700 further includes:
step S710: positioning an execution node of a preset program of the laser cutting machine by combining the real-time detection data through the preset program of the laser cutting machine;
step S720: performing parameter correction by combining the comprehensive estimated state and the real-time detection data with the relevant standard and execution nodes of the numerical control laser cutting machine to obtain a real-time state monitoring estimated result of the protective lens;
step S730: periodically updating the real-time state monitoring estimation result based on the service life of the protective lens, and determining the updating frequency of the real-time state monitoring estimation result;
step S740: and judging the frequency of a preset updating frequency threshold and the updating frequency, and if the updating frequency is not lower than the preset updating frequency threshold, acquiring an abnormal marking signal.
Specifically, a preset program of the laser cutting machine is obtained, the preset program of the laser cutting machine is a preset processing program of the laser cutting machine, positioning is carried out on the preset program of the laser cutting machine through the real-time detection data, and an execution node of the preset program of the laser cutting machine is positioned and determined; the method comprises the steps of uniformly executing relevant national standards such as 'numerical control laser cutting machine', normalizing the comprehensive estimated state, real-time detection data, the relevant numerical control laser cutting machine standards and execution nodes, performing weight calculation on results obtained by normalization processing of the relevant numerical control laser cutting machine standards and the execution nodes by using a coefficient of variation method, wherein the coefficient of variation method is an objective weighting method, directly using information contained in the results obtained by normalization processing of the relevant numerical control laser cutting machine standards and the execution nodes, obtaining the weights of the results obtained by normalization processing of the relevant numerical control laser cutting machine standards and the execution nodes through calculation, after determining the weights, sequentially performing weight calculation on the results obtained by normalization processing of the comprehensive estimated state and the real-time detection data, and respectively calculating to obtain real-time state monitoring estimated results, technical support is provided for ensuring the stability of the real-time state monitoring estimation result, and the reliability of the real-time state monitoring estimation result is ensured.
To further explain in detail, in the embodiment of the present application, for convenience of explanation, a "protection lens state monitoring system" is abbreviated as "state monitoring system", after obtaining a real-time state monitoring estimation result of the protection lens, the service life of the protection lens is retrieved and obtained through lens model information, the update frequency of the real-time state monitoring estimation result is determined in combination with the usage log record information, the usage time corresponding to the update frequency and the usage log record information corresponds to the service life, the usage time is closer to the service life, correspondingly, the update frequency of the real-time state monitoring estimation result is higher, the real-time state monitoring estimation result is periodically updated through the update frequency of the real-time state monitoring estimation result, and the preset update frequency threshold is a preset index of the state monitoring system, the preset updating frequency threshold value can be set by contrasting the operation processing efficiency of the state monitoring system, the user-defined setting is specifically required to be carried out by combining the requirements of relevant managers of the state monitoring system, the frequency of the preset updating frequency threshold value and the updating frequency is judged, if the updating frequency is not lower than the preset updating frequency threshold value, an abnormal marking signal is obtained, the abnormal marking signal is used for reminding the relevant managers of the state monitoring system to replace the protective lens of the laser cutting machine, support is provided for ensuring the safe operation of the laser cutting machine, the focusing lens cannot be effectively protected due to the loss of the protective lens, the focusing lens is directly contacted with dust and splashed slag, and support is provided for timely replacing the protective lens.
In summary, the method and system for monitoring the status of the protective lens of the laser cutting machine provided by the present application have the following technical effects:
the basic data information of the protective lens of the laser cutting machine is obtained; evaluating the state of the protective lens to obtain a first estimated state of the protective lens; acquiring a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set; evaluating the state of the protective lens to obtain a second estimated state of the protective lens; acquiring the use log record information of the protective lens through a state monitoring system; acquiring a comprehensive estimated state by using log record information; and obtaining a real-time state monitoring estimation result of the protective lens. The application provides the method and the system for monitoring the state of the protective lens of the laser cutting machine, so that the state of the protective lens of the laser cutting machine can be intelligently evaluated in a multidimensional manner, the evaluation precision of the state of the protective lens is improved, the state of the protective lens is updated in real time, and the technical effect of assisting relevant managers in replacing and maintaining the protective lens in time is achieved.
After the storage is finished, acquiring a data screening initialization signal, and performing K equal division by combining preset data screening information to acquire K groups of associated parameter subsets; and matching preset data screening information, acquiring data screening parameter indexes, synchronously performing parameter setting on K data screening channels of the parameter screening model, acquiring data screening processing signals after parameter setting is completed, synchronously performing data screening based on the K data screening channels, and acquiring associated parameter screening results. The data screening initialization signal and the data screening processing signal assist in synchronous data screening processing, and technical support is provided for guaranteeing the screening processing efficiency of the parameter screening model.
Due to the fact that a preset program of the laser cutting machine is adopted, the execution node of the preset program is located by combining real-time detection data, parameter correction is conducted, and a real-time state monitoring estimation result is obtained; carrying out periodic updating based on the service life, and determining the updating frequency; and judging the frequency of the preset updating frequency threshold and the updating frequency, if the updating frequency is not lower than the preset updating frequency threshold, acquiring an abnormal marking signal, providing support for ensuring the safe operation of the laser cutting machine, avoiding the direct contact of the focusing lens with dust and splashed slag caused by the fact that the focusing lens cannot be effectively protected due to the loss of the protective lens, and providing support for timely replacing the protective lens.
Example two
Based on the same inventive concept as the method for monitoring the state of the protective lens of the laser cutting machine in the foregoing embodiment, as shown in fig. 4, the present application provides a system for monitoring the state of the protective lens of the laser cutting machine, wherein the system includes:
the data acquisition unit 11 is configured to acquire basic data information of a protective lens of a laser cutting machine, where the basic data information of the protective lens includes lens model information, lens overall dimension information, lens material information, and lens coating technical parameter information;
the first state evaluation unit 12 is configured to evaluate the state of the protective lens according to the lens overall dimension information, the lens material information, and the lens coating technical parameter information, so as to obtain a first estimated state of the protective lens;
a parameter retrieving unit 13, where the parameter retrieving unit 13 is configured to perform parameter index retrieval on the processing procedure of the protective lens based on the lens model information through a data retrieval engine, and acquire a lens cutting parameter set, a lens polishing parameter set, and a lens chamfering parameter set;
a second state evaluation unit 14, where the second state evaluation unit 14 is configured to evaluate the state of the protective lens according to the lens cutting parameter set, the lens polishing parameter set, and the lens chamfering parameter set, and obtain a second estimated state of the protective lens;
a log record obtaining unit 15, where the log record obtaining unit 15 is configured to obtain, by the state monitoring system, usage log record information of the protective lens;
an index adjusting unit 16, where the index adjusting unit 16 is configured to adjust the first estimated state and the second estimated state through the use log record information to obtain a comprehensive estimated state;
and the parameter correcting unit 17 is used for correcting parameters by combining the comprehensive estimated state with real-time detection data to obtain a real-time state monitoring estimated result of the protective lens.
Further, the system comprises:
an antireflection film information acquisition unit for acquiring laser antireflection film information of the protective lens;
the coating technical parameter acquisition unit is used for acquiring a lens coating technical parameter interval by combining the lens overall dimension information and the lens material information according to the laser antireflection film information;
the technical parameter judging unit is used for judging whether the lens coating technical parameter information meets the lens coating technical parameter interval;
the partial correlation analysis unit is used for performing partial correlation analysis according to the lens overall dimension information, the lens material information and the lens coating technical parameter information if the lens overall dimension information, the lens material information and the lens coating technical parameter information are met, and respectively acquiring a first-order partial correlation index of lens dimension coating and a first-order partial correlation index of lens material coating;
the first state evaluation unit is used for evaluating the state of the protective lens through the first-order deviation correlation index of the lens size coating and the first-order deviation correlation index of the lens material coating to obtain a first estimated state of the protective lens.
Further, the system comprises:
the first-order correlation coefficient acquisition unit is used for carrying out correlation analysis on the first-order correlation index of the lens size coating film and the first-order correlation index of the lens material coating film to acquire a first-order correlation coefficient;
a coefficient judgment unit for judging whether the first-order correlation coefficient satisfies an initial correlation coefficient;
the first estimated state setting unit is used for setting the first-order correlation coefficient as a first estimated state of the protective lens if the first estimated state setting unit meets the first estimated state;
the second-order partial correlation index obtaining unit is used for carrying out partial correlation analysis if the first-order partial correlation index does not meet the requirement, and respectively obtaining a second-order partial correlation index of lens size coating and a second-order partial correlation index of lens material coating;
and the loop operation unit is used for performing loop operation by taking the setting of the first estimated state as a repeated termination condition to obtain loop body output, wherein the loop body output is the first estimated state.
Further, the system comprises:
the data storage unit is used for performing association storage on the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set and storing the association of the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set in a primary screening unit of a parameter screening model;
the correlation parameter screening result acquisition unit is used for screening the correlation storage data in the preliminary screening unit through the parameter screening model to acquire a correlation parameter screening result;
and the second estimated state acquisition unit is used for evaluating the state of the protective lens according to the associated parameter screening result to acquire a second estimated state of the protective lens.
Further, the system comprises:
the data equally-dividing unit is used for performing K equally-dividing on the associated storage data in the preliminary screening unit to obtain K groups of associated parameter subsets;
a sampling associated parameter set obtaining unit, configured to perform M-time random extraction on a first group of associated parameter subsets, and obtain M first sampling associated parameter sets, where the first group of associated parameter subsets is any one of the K groups of associated parameter subsets;
the information entropy calculation unit is used for calculating the information entropy of the M first sample associated parameter sets respectively to obtain M sample associated information entropies;
the information entropy judging unit is used for respectively comparing the M sampling associated information entropies with the information entropies of the first group of associated parameter subsets and judging whether the associated information entropies are equal;
the association initial screening subset acquisition unit is used for performing parameter screening on the first group of association parameter subsets to acquire a first group of association initial screening subsets if the entropy of the association information is equal;
and the screening result acquisition unit is used for repeating the data screening process, screening the data of the K groups of associated parameter subsets and acquiring the associated parameter screening result.
Further, the system comprises:
the correlation parameter storage unit is used for acquiring a data screening initialization signal after the correlation parameters in the preliminary screening unit are stored;
a parameter subset acquisition unit, configured to perform K-equal division on the association parameters in the preliminary screening unit by using the data screening initialization signal in combination with preset data screening information, and acquire K groups of association parameter subsets;
the screening parameter acquisition unit is used for matching the preset data screening information to acquire a data screening parameter index of the parameter screening model;
the parameter synchronous setting unit is used for synchronously performing parameter setting on K data screening channels of the parameter screening model through the data screening parameter indexes, and acquiring data screening processing signals after the parameter setting is completed;
and the data screening unit is used for synchronously screening the data of the K groups of associated parameter subsets based on the K data screening channels through the data screening processing signals to obtain associated parameter screening results.
Further, the system comprises:
the execution node positioning unit is used for positioning an execution node of a preset program of the laser cutting machine by combining the real-time detection data through the preset program of the laser cutting machine;
the parameter correction unit is used for correcting parameters by combining the comprehensive estimated state and the real-time detection data with the relevant standard and execution nodes of the numerical control laser cutting machine to obtain the real-time state monitoring estimated result of the protective lens;
the periodic updating unit is used for periodically updating the real-time state monitoring estimation result based on the service life of the protective lens and determining the updating frequency of the real-time state monitoring estimation result;
and the frequency height judging unit is used for judging a preset updating frequency threshold value and the frequency height of the updating frequency, and acquiring an abnormal mark signal if the updating frequency is not lower than the preset updating frequency threshold value.
The specification and drawings are merely exemplary of the application and various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Such modifications and variations of the present application are within the scope of the claims of the present application and their equivalents, and the present application is intended to include such modifications and variations.
Claims (8)
1. A method for monitoring the state of a protective lens of a laser cutting machine is characterized in that the method is applied to a state monitoring system, a data retrieval engine is embedded in the state monitoring system, and the method comprises the following steps:
acquiring basic data information of a protective lens of a laser cutting machine, wherein the basic data information of the protective lens comprises lens model information, lens overall dimension information, lens material information and lens coating technical parameter information;
evaluating the state of the protective lens according to the lens overall dimension information, the lens material information and the lens coating technical parameter information to obtain a first estimated state of the protective lens;
performing parameter index retrieval on the processing process of the protective lens based on the lens model information through the data retrieval engine to obtain a lens cutting parameter set, a lens polishing parameter set and a lens chamfering parameter set;
evaluating the state of the protective lens according to the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set to obtain a second estimated state of the protective lens;
acquiring the use log record information of the protective lens through the state monitoring system;
adjusting the first estimated state and the second estimated state through the use log record information to obtain a comprehensive estimated state;
and correcting parameters by combining the comprehensive estimated state with real-time detection data to obtain a real-time state monitoring estimated result of the protective lens.
2. The method of claim 1, wherein the state of the protective lens is evaluated based on the lens form size information, lens material information, and lens coating specification information to obtain a first estimated state of the protective lens, the method comprising:
acquiring laser antireflection film information of the protective lens;
acquiring a lens coating technical parameter interval by combining the lens overall dimension information and the lens material information according to the laser antireflection film information;
judging whether the lens coating technical parameter information meets the lens coating technical parameter interval;
if yes, performing partial correlation analysis according to the lens overall dimension information, the lens material information and the lens coating technical parameter information, and respectively obtaining a first-order partial correlation index of lens dimension coating and a first-order partial correlation index of lens material coating;
and evaluating the state of the protective lens through the first-order deviation correlation index of the lens size coating and the first-order deviation correlation index of the lens material coating to obtain a first estimated state of the protective lens.
3. The method of claim 2, wherein the state of the protective lens is evaluated by a first estimated state of the protective lens based on the first order deviation correlation index of the lens size and the first order deviation correlation index of the lens material, the method further comprising:
performing correlation analysis on the first-order correlation index of the lens size coating film and the first-order correlation index of the lens material coating film to obtain a first-order correlation coefficient;
judging whether the first-order correlation coefficient meets an initial correlation coefficient;
if yes, setting the first-order correlation coefficient as a first estimated state of the protective lens;
if not, performing partial correlation analysis to respectively obtain a second-order partial correlation index of lens size coating and a second-order partial correlation index of lens material coating;
and taking the setting of the first estimated state as a repeated termination condition, and performing cyclic operation to obtain a cyclic output, wherein the cyclic output is the first estimated state.
4. The method of claim 1, wherein the state of the protective lens is evaluated based on the lens cutting parameter set, the lens polishing parameter set, and the lens chamfering parameter set to obtain a second estimated state of the protective lens, the method further comprising:
performing association storage on the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set, and storing the association of the lens cutting parameter set, the lens polishing parameter set and the lens chamfering parameter set in a primary screening unit of a parameter screening model;
screening the associated storage data in the preliminary screening unit through the parameter screening model to obtain an associated parameter screening result;
and evaluating the state of the protective lens according to the screening result of the associated parameters to obtain a second estimated state of the protective lens.
5. The method of claim 4, wherein the associated stored data in the prescreening unit is filtered through the parameter filtering model to obtain associated parameter filtering results, and the method further comprises:
performing K equal division on the associated storage data in the primary screening unit to obtain K groups of associated parameter subsets;
performing random extraction on a first group of associated parameter subsets with playback for M times to obtain M first sampling associated parameter sets, wherein the first group of associated parameter subsets is any one group of associated parameter subsets in the K groups of associated parameter subsets;
respectively calculating the information entropies of the M first sampling associated parameter sets to obtain M sampling associated information entropies;
respectively comparing the M sampling associated information entropies with the information entropies of the first group of associated parameter subsets, and judging whether the associated information entropies are equal;
if the associated information entropies are equal, performing parameter screening on the first group of associated parameter subsets to obtain a first group of associated primary screening subsets;
and repeating the data screening process, and screening the data of the K groups of associated parameter subsets to obtain associated parameter screening results.
6. The method of claim 5, wherein the method further comprises:
after the associated parameters in the preliminary screening unit are stored, acquiring a data screening initialization signal;
performing K-equal division on the associated parameters in the preliminary screening unit by combining the data screening initialization signal and preset data screening information to obtain K groups of associated parameter subsets;
matching the preset data screening information to obtain a data screening parameter index of the parameter screening model;
synchronously performing parameter setting on K data screening channels of the parameter screening model through the data screening parameter indexes, and acquiring data screening processing signals after parameter setting is completed;
and synchronously performing data screening on the K groups of associated parameter subsets based on the K data screening channels through the data screening processing signals to obtain associated parameter screening results.
7. The method of claim 1, wherein the real-time status monitoring estimate of the protective lens is obtained by modifying parameters from the comprehensive estimate of status in combination with real-time monitoring data, the method further comprising:
positioning an execution node of a preset program of the laser cutting machine by combining the real-time detection data through the preset program of the laser cutting machine;
performing parameter correction by combining the comprehensive estimated state and the real-time detection data with the relevant standard and execution nodes of the numerical control laser cutting machine to obtain a real-time state monitoring estimated result of the protective lens;
periodically updating the real-time state monitoring estimation result based on the service life of the protective lens, and determining the updating frequency of the real-time state monitoring estimation result;
and judging the frequency of a preset updating frequency threshold and the updating frequency, and if the updating frequency is not lower than the preset updating frequency threshold, acquiring an abnormal marking signal.
8. A protective lens condition monitoring system for a laser cutting machine, the system comprising:
the data acquisition unit is used for acquiring basic data information of a protective lens of the laser cutting machine, wherein the basic data information of the protective lens comprises lens model information, lens overall dimension information, lens material information and lens coating technical parameter information;
the first state evaluation unit is used for evaluating the state of the protective lens according to the lens overall dimension information, the lens material information and the lens coating technical parameter information to obtain a first estimated state of the protective lens;
a parameter retrieval unit, configured to perform parameter index retrieval on the processing procedure of the protective lens based on the lens model information through a data retrieval engine, and acquire a lens cutting parameter set, a lens polishing parameter set, and a lens chamfering parameter set;
a second state evaluation unit, configured to evaluate a state of the protective lens according to the lens cutting parameter set, the lens polishing parameter set, and the lens chamfering parameter set, and obtain a second estimated state of the protective lens;
the log record acquisition unit is used for acquiring the use log record information of the protective lens through the state monitoring system;
the index adjusting unit is used for adjusting the first estimated state and the second estimated state through the use log record information to obtain a comprehensive estimated state;
and the parameter correction unit is used for correcting parameters by combining the comprehensive estimated state with real-time detection data to obtain a real-time state monitoring estimated result of the protective lens.
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