CN114330890A - Anti-false-cut early warning method and system for electronic element - Google Patents
Anti-false-cut early warning method and system for electronic element Download PDFInfo
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Abstract
The invention discloses a false-cutting-prevention early warning method and a false-cutting-prevention early warning system for electronic elements, wherein the method comprises the following steps: obtaining a historical working parameter set of a first board separator, and performing traversal analysis to obtain a first preset safe cutting distance; obtaining a first real-time cutting distance by analyzing an electronic component data set of a first circuit board; if the first real-time cutting distance is within the first preset safe cutting distance, activating an inertial sensing device to track according to a first tracking instruction to obtain a plurality of sensing data; and performing data fusion on the plurality of sensing data according to a multi-sensing fusion algorithm, and inputting the obtained first cutting attitude information into a miscut early warning model to obtain first early warning information. The problem of exist among the prior art to the board separator the mistake condition of cutting have not comparatively perfect early warning method, can't carry out intelligent analysis to the mistake to the condition of cutting by mistake appears in the machinery board separator, influences production efficiency, increases the technical problem of disability rate.
Description
Technical Field
The invention relates to the field of electronic element processing, in particular to an anti-false-cutting early warning method and system for an electronic element.
Background
Along with the continuous development of intelligent technology, the demand of corresponding intelligent mobile equipment increases along with it for the demand of board separator has been promoted, because electronic component is the essential element in the electronic circuit, at present stage, the mode of carrying out manual board separation based on the manual work causes board damage, board deformation easily, exerts oneself quality influence such as uneven, thereby causes the loss. The board separator can realize mechanical board separation, improves production efficiency when improving board separation quality, but the phenomenon of miscut probably appears when carrying out work in the board separator, consequently, how to guarantee the work degree of accuracy of board separator still is the problem of comparatively paying attention to.
However, in the prior art, a perfect early warning method is not provided for the condition of the mistaken cutting of the board separator, and intelligent analysis cannot be performed on the mistaken cutting, so that the condition of the mistaken cutting of the mechanical board separator is caused, the production efficiency is affected, and the rejection rate is increased.
Disclosure of Invention
The fault-cutting-prevention early warning method and system for the electronic element solve the technical problems that no perfect early warning method exists for the fault-cutting situation of a board dividing machine, intelligent analysis cannot be conducted on the fault-cutting, the fault-cutting situation of mechanical board dividing occurs, production efficiency is affected, and rejection rate is increased.
On one hand, the application provides an anti-miscut-preventing early warning method for an electronic element, the method is applied to an anti-miscut-preventing early warning system for the electronic element, the system is in communication connection with an inertial sensing device, and the method comprises the following steps: obtaining a historical working parameter set of a first board separator; obtaining a first preset safe cutting distance by traversing and analyzing the historical working parameter set, wherein the first preset safe cutting distance is a safe cutting distance between a blade of the first board separator and an electronic element; obtaining a first real-time cutting distance by analyzing an electronic component data set of a first circuit board; if the first real-time cutting distance is within the first preset safe cutting distance, acquiring a first tracking instruction, and activating the inertial sensing device to track the first board separator according to the first tracking instruction to acquire a plurality of sensing data, wherein the plurality of sensing data comprise displacement sensing data, rotating speed sensing data and acceleration sensing data; and performing data fusion on the plurality of sensing data according to a multi-sensing fusion algorithm, generating first cutting attitude information, inputting the first cutting attitude information into a miscut early warning model, and obtaining first early warning information.
On the other hand, this application still provides an electronic component's mistake and cuts early warning system, the system includes: the system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining a historical working parameter set of a first board separator; a second obtaining unit, configured to obtain a first preset safe cutting distance by performing traversal analysis on the historical working parameter set, where the first preset safe cutting distance is a safe cutting distance between a blade of the first board separator and an electronic element; a third obtaining unit for obtaining a first real-time cutting distance by analyzing an electronic component data set of the first circuit board; the first judging unit is used for obtaining a first tracking instruction if the first real-time cutting distance is within the first preset safe cutting distance; a fourth obtaining unit, configured to activate an inertial sensing device to track the first circuit board according to the first tracking instruction, so as to obtain a plurality of sensing data, where the plurality of sensing data includes displacement sensing data, rotation speed sensing data, and acceleration sensing data; the first generating unit is used for carrying out data fusion on the multiple sensing data according to a multi-sensing fusion algorithm to generate first cutting attitude information; and the fifth obtaining unit is used for inputting the first cutting posture information into the miscut early warning model to obtain first early warning information.
In a third aspect, the present application provides an anti-false-cut warning system for an electronic component, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
1. the method comprises the steps of collecting historical working parameters of the board cutting machine, performing traversal analysis according to all collected parameter sets to determine a preset safe cutting distance suitable for the cutting characteristics of the board cutting machine, comparing and detecting the distance between a blade and a cut electronic element before cutting, and performing mistaken cutting pre-detection early warning before board cutting operation of the board cutting machine, further, installing an inertial sensor on a main operating part of the board cutting machine, and performing mistaken cutting prevention early warning during cutting operation of the board cutting machine according to the inertial sensor, wherein the analysis in multiple sensing dimensions is realized by constructing a mistaken cutting early warning model based on the inertial sensor, and further correspondingly obtaining output early warning information, the flow mistaken cutting prevention analysis during cutting execution based on the board cutting machine is realized, so that the intelligent supervision of the board cutting machine is realized, therefore, the mistaken cutting supervision of double protection is realized, the working accuracy of the plate separator is improved, the rejection rate is reduced, and the technical effect of intelligent mistaken cutting early warning is realized.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic flow chart illustrating a false-cut-prevention warning method for an electronic component according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a second warning information generation process of an anti-miscut warning method for an electronic component according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a process of constructing a false cut warning model of a false cut warning prevention method for an electronic component according to an embodiment of the present application;
fig. 4 is a schematic flowchart illustrating a first warning information output process of a false-cut-prevention warning method for an electronic component according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an anti-miscut warning system for electronic components according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a false-cutting-prevention early warning method and system for electronic components, and solves the technical problems that in the prior art, no perfect early warning method exists for the situation that a board separator is mistakenly cut, intelligent analysis cannot be performed on the mistaken cutting, the situation that mechanical board separators are mistakenly cut is caused, production efficiency is affected, the rejection rate is increased, intelligent supervision on the board separator is achieved, double-protection false-cutting early warning is achieved, the working accuracy of the board separator is improved, and the rejection rate is reduced.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
At present, the enterprise realizes that automatic board splitting replaces artifical board splitting basically, different models and the kind to board splitting machine have different operation methods, generally speaking, carry out the in-process of board splitting machine board splitting and need inspect and check each item of notice, wherein, there is the condition of miscut when cutting the circuit board, to the condition of cutting the board miscut, can harm the plate body itself, thereby reduce the quality of board, this application has proposed an electronic component prevents miscut early warning method, can prevent miscut data acquisition and intelligent analysis to the board splitting machine, realize miscut early warning from a plurality of dimensions, improve the degree of accuracy and the early warning comprehensiveness of board splitting machine.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the method comprises the steps of collecting historical working parameters of the board dividing machine, performing traversal analysis according to all collected parameter sets to determine a preset safe cutting distance suitable for the cutting characteristics of the board dividing machine, comparing and detecting the distance between a blade and a cut electronic element before cutting, and realizing mistaken cutting pre-detection early warning before board dividing operation of the board dividing machine, further, installing an inertial sensor on a main operating part of the board dividing machine, and realizing mistaken cutting prevention early warning during cutting operation of the board dividing machine according to the inertial sensor, wherein the analysis in multiple sensing dimensions is realized on the basis of constructing a mistaken cutting early warning model based on the inertial sensor, and further correspondingly obtaining output early warning information, the flow mistaken cutting prevention analysis during cutting execution based on the board dividing machine is realized, so that the intelligent supervision of the board dividing machine is realized, therefore, the mistaken cutting supervision of double protection is realized, the working accuracy of the plate separator is improved, the rejection rate is reduced, and the technical effect of intelligent mistaken cutting early warning is realized.
For better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.
Example one
As shown in fig. 1, an embodiment of the present application provides a false-cut-prevention early-warning method for an electronic component, where the method is applied to a false-cut-prevention early-warning system for an electronic component, the system is in communication connection with an inertial sensing device, and the method includes:
step S100: obtaining a historical working parameter set of a first board separator;
particularly, the enterprise realizes that automatic board splitting replaces artifical board splitting basically, different models and the kind to board splitting machine have different operation methods, generally speaking, carry out the in-process of board splitting machine board splitting and need inspect and check each item of notice, wherein, there is the condition of miscut when cutting the circuit board, to the condition of cutting the board miscut, can harm the plate body itself, thereby reduce the quality of board, this application has proposed an electronic component prevents miscut early warning method, can prevent miscut data acquisition and intelligent analysis to the board splitting machine, realize miscut early warning from a plurality of dimensions, improve the degree of accuracy and the early warning comprehensiveness of board splitting machine. The first board separator is a PCB (printed circuit board) board separator, is a board separator for a circuit board, and comprises but is not limited to a plurality of types of board separators such as a feed board separator, a stamping board separator, a laser board separator and the like, historical working cutting parameters of the first board separator are analyzed, such as cutting speed, positioning data and vertical distance between a cutter of the first board separator and the circuit board, so that collection of the historical working parameters is achieved, and because the types of the parameters correspondingly collected when the board separators of different types work are different, data collection and data processing are achieved according to the types of the board separators in a targeted manner, and the quality of source data and the analysis accuracy are improved.
Step S200: obtaining a first preset safe cutting distance by traversing and analyzing the historical working parameter set, wherein the first preset safe cutting distance is a safe cutting distance between a blade of the first board separator and an electronic element;
specifically, the traversing analysis of the historical working parameter set is the traversing analysis of data of the parameters collected by the board separator for each work, so that the historical working parameters can be analyzed for the safety distance, the first preset safety cutting distance is the perpendicular safety cutting distance between the cutter and the electronic component when the board separator works, for example, the cutter is descended to ensure the stable speed and reduce the rough edges or flaws, therefore, the first preset safety cutting distance obtained by traversing the historical working parameter set can be analyzed according to the real-time use condition of the current board separator to ensure the set reliability, wherein, because the board separator places the PCB on the straight cutter, the upper circular cutter passes through the groove to separate the jointed PCB, in order to ensure that components on the board do not collide with the body and the blades of the board separator, therefore, the first preset safe cutting distance is set to realize the safe judgment condition of the first board separator before cutting operation.
Step S300: obtaining a first real-time cutting distance by analyzing an electronic component data set of a first circuit board;
step S400: if the first real-time cutting distance is within the first preset safe cutting distance, a first tracking instruction is obtained;
further, as shown in fig. 2, step S300 in the embodiment of the present application further includes:
step S310: obtaining a first component by analyzing an electronic component data set of the first circuit board, wherein the first component is the highest component on the first circuit board;
step S320: obtaining a first preset safe distance threshold value according to the first preset safe cutting distance and a first fluctuation threshold value;
step S330: detecting a real-time cutting distance between the first element and the first board cutting machine to obtain a first real-time cutting distance;
step S340: judging whether the first real-time cutting distance is in the first preset safety distance threshold value or not;
step S350: and if the first real-time cutting distance is not in the first preset safety distance threshold value, generating second early warning information.
Specifically, the first circuit board is a circuit board to be diced, since a plurality of electronic components are welded on the circuit board, when the first circuit board is diced, an electronic component data set of the first circuit board needs to be analyzed, so that the highest component information on the circuit board can be determined, and further, pre-determination before dicing is realized, the first component is a determined highest component welded on the circuit board to be diced, so that the height information of the component is compared with the height of a cutter for performing dicing of a board-dividing machine according to the height information of the component, further, a first fluctuation threshold value is added according to the first preset safe dicing distance, wherein the first fluctuation threshold value is a range of a fluctuation threshold value determined according to the dicing characteristics of the board-dividing machine, for example, the cutter needs to react time from rest or running, and the speed of the cutter when contacting the circuit board can be influenced according to the reaction time and the cutter descending dicing speed, therefore, the quality of the cutting plate is reduced, and the first safety distance threshold value is further obtained by increasing the dynamic judgment performance of the first preset safety cutting distance.
Further, whether the first real-time cutting distance is within a first preset safety distance threshold value or not is judged, if the first real-time cutting distance is within the first preset safety distance threshold value, the first tracking instruction is obtained, and if the first real-time cutting distance is not within the first early warning safety distance threshold value, second early warning information is obtained, wherein the second early warning information corresponds to an mistaken cutting early warning instruction obtained before the board dividing machine cuts the board.
Step S500: according to the first tracking instruction, activating the inertial sensing device to track the first board separator to obtain a plurality of sensing data, wherein the sensing data comprise displacement sensing data, rotating speed sensing data and acceleration sensing data;
specifically, when the first tracking instruction is obtained, the inertia sensing device is activated to perform data tracking on the first board dividing machine, and tool sensing data of the first board dividing machine during real-time cutting is obtained, wherein the inertia sensing device comprises an inertia sensing detection unit, and the inertia sensing detection unit is connected with a data processing unit of the board dividing machine, so that all the obtained sensing data are received, and intelligent processing of the data is realized. When the first tracking instruction is obtained, the preliminary early warning detection indicating that the current element is mistakenly cut passes, therefore, the first board cutting machine is subjected to real-time acquisition of sensing data according to the first tracking instruction, and the corresponding mistaken cutting probability of the board cutting machine during cutting can be analyzed, so that real-time monitoring of multiple sensing dimensions can be provided, early warning pertinence and multiple dimensions are improved, and early warning accuracy is further improved.
Step S600: performing data fusion on the multiple sensing data according to a multi-sensing fusion algorithm to generate first cutting attitude information;
specifically, the multi-sensing fusion algorithm is used for performing data fusion calculation on the multiple sensing data obtained by the inertial sensing acquisition device, and performing multi-dimensional analysis on a first board separator based on the multiple sensing data, and since a cutter of the first board separator moves as a path and is cut according to numerical control point positions, in order to maintain response accuracy of the first board separator during cutting, the inertial sensing device acquires the sensing data in a micro patch sensor manner, and performs data fusion on the multiple sensing data obtained by sensing, so as to obtain the first cutting attitude information, wherein the sensing fusion manner is to construct a curve of fitting data in a three-dimensional space, so as to accurately express the first board separator during real-time cutting, therefore, the working parameters of the first board separator can be monitored in real time by realizing the sensing fitting of data, and the comparison monitoring is realized according to the preset segmentation path points of the circuit board, so that the comparison accuracy of the false cutting prevention early warning in the cutting process is improved.
Step S700: and inputting the first cutting posture information into a miscut early warning model to obtain first early warning information.
Specifically, the first cutting posture information is input into a middle heel of the miscut early warning model, and early warning monitoring of the first board dividing machine is achieved according to the miscut early warning model, wherein the miscut early warning model is a three-dimensional model and comprises a first early warning model, a second early warning model and a third early warning model, and displacement fixed-point miscut early warning is achieved through the first early warning model according to a preset cutting path of a circuit board to be divided; the second early warning model is used for realizing the early warning of the miscut of the deviation of the main shaft according to the preset cutting speed and the rotating speed sensing data of the circuit board to be cut; the third early warning model is used for realizing the early warning of inertia stability brought by acceleration based on a preset segmentation speed according to the circuit board material attribute of the circuit board to be segmented. According to the false-cut early warning model, corresponding output information of three dimensions is obtained respectively, corresponding false-cut probability is obtained according to the output information, when the false-cut probability is large or is larger than a preset probability, the corresponding early warning information is output, and the intelligent supervision of the board dividing machine is achieved, so that the false-cut early warning of double protection is achieved, the working accuracy of the board dividing machine is improved, and the rejection rate is reduced.
Further, as shown in fig. 3, step S700 in the embodiment of the present application further includes:
step S710: obtaining a preset cutting path of the first circuit board;
step S720: obtaining a first supervision data set according to the preset cutting path;
step S730: analyzing the historical working parameter set according to the preset cutting path to obtain a second supervision data set;
step S740: and constructing the miscut early warning model according to the first supervision data set and the second supervision data set.
Specifically, a preset cutting path of a circuit board to be cut is obtained, fixed point positioning is realized according to the preset cutting path, and positioning and cutting are carried out by a cutter of the board dividing machine, because the cutting of the circuit board comprises straight line cutting, curve cutting or irregular cutting, the preset cutting path of the first circuit board is obtained firstly, a first supervision data set is obtained according to the preset cutting path, the first supervision data set can carry out path supervision on the real-time working of the first board dividing machine, further, according to the preset cutting path, cutting path similarity analysis is carried out in the historical working of the first board dividing machine, the first N working parameters with the maximum similarity are called and analyzed, and a second supervision data set is obtained, wherein the second supervision data set can realize adaptive regulation and reference supervision according to the historical working parameters of the first board dividing machine, the richness and comprehensiveness of early warning comparison data are improved, and further the first supervision data set and the second supervision data set are used as basic data for building a miscut early warning model, so that the accuracy of the miscut early warning model is improved.
Further, the step S740 of constructing the miscut warning model according to the first surveillance data set and the second surveillance data set further includes:
step S741: constructing a plurality of early warning dimensions, wherein the plurality of early warning dimensions comprise a first early warning dimension, a second early warning dimension and a third early warning dimension, the first early warning dimension is displacement early warning, the second early warning dimension is rotation speed early warning, and the third early warning dimension is acceleration early warning;
step S742: taking the first supervision data set as main monitoring data and the second supervision data set as auxiliary adjustment data to generate a model early warning data set;
step S743: and constructing the miscut early warning model according to the early warning dimensions and the model early warning data set.
Specifically, the three-dimensional model constructed according to the multiple early warning dimensions during mistaken cutting of the early warning model comprises a first early warning dimension model, a second early warning dimension model and a third early warning dimension model, the first early warning dimension is used as an X axis to perform early warning analysis on data, the second early warning dimension is used as a Y axis to perform early warning analysis on data, and the third early warning dimension is used as a Z axis to perform early warning analysis on data. In detail, the early warning model of the first dimension realizes the early warning of the miscut of the displacement fixed point according to the preset cutting path of the circuit board to be cut, and generates a model early warning data set under the first dimension aiming at the preset cutting path to be cut, so as to further realize the early warning of the displacement correction; the early warning model of the second dimension is used for generating a model early warning data set under the second dimension according to preset segmentation speed and rotating speed sensing data of the circuit board to be segmented, so that the early warning of the error segmentation of the main shaft deviation is realized; the early warning model of the third dimension generates a model early warning data set under the third dimension according to the circuit board material attribute of the circuit board to be divided and the cutter inertia of the first board separator at the preset cutting speed, so that the early warning of the inertia stability caused by acceleration is realized. The first supervision data set serves as main monitoring data, the second supervision data set serves as auxiliary adjustment data to obtain a model early warning data set corresponding to each dimensionality, and therefore the miscut early warning model is constructed according to the early warning models of the three dimensionalities and the model early warning data set, and therefore early warning accuracy and the miscut prevention effect are further improved through miscut early warning of the multiple dimensionalities.
Further, as shown in fig. 4, the step S700 of the embodiment of the present application further includes inputting the first cutting posture information into the miscut warning model to obtain the first warning information:
step S750: inputting the first cutting posture information into the miscut warning model to obtain a first comparison result, a second comparison result and a third comparison result, wherein the first comparison result is a displacement comparison result of the first warning dimension, the second comparison result is an offset comparison result of the second position dimension, and the third comparison result is an inertia comparison result of the third warning dimension;
step S760: performing early warning judgment according to the first comparison result, the second comparison result and the third comparison result to generate first reminding information and/or second reminding information and/or third reminding information;
step S770: and taking the first reminding information and/or the second reminding information and/or the third reminding information as the first early warning information.
Specifically, after the first cutting posture information is input into the miscut early warning model, according to an early warning model of a first dimension of the miscut early warning model, model data comparison is carried out on the input real-time displacement in the first cutting posture information to obtain a first comparison result, according to an early warning model of a second dimension of the miscut early warning model, model data comparison is carried out on the input real-time rotating speed in the first cutting posture information to obtain a second comparison result, and according to an early warning model of a third dimension in the miscut early warning model, model data comparison is carried out on the input real-time acceleration in the first cutting posture information to obtain a third comparison result. And further, performing early warning judgment according to comparison results respectively obtained by the three dimensions, generating corresponding reminding information after triggering early warning conditions, and taking the reminding information as output information of the miscut early warning model.
Further, the output of the first reminding information, the second reminding information and the third reminding information is correspondingly output according to the comparison results of the three dimensions, and if the comparison results trigger the early warning condition, the corresponding reminding information is obtained. For example, when the first comparison result triggers an early warning condition, the second comparison result does not trigger the early warning condition, and the third comparison result triggers the early warning condition, first reminding information and third reminding information are obtained, and the first reminding information and the third reminding information are used as information output by the miscut early warning model; when the first comparison result does not trigger an early warning condition, the second comparison result does not trigger an early warning condition, and the third comparison result starts an early warning condition, third reminding information is obtained, and the third reminding information is used as information output by the miscut early warning model. And then can realize that the pertinence early warning is reminded, improve and prevent mistake and cut early warning effect.
Further, step S760 in the embodiment of the present application further includes:
step S761: according to the first cutting attitude information, obtaining real-time rotating speed data of the first plate cutting machine in the second early warning dimension;
step S762: obtaining rotation speed early warning data in the second early warning dimension according to the miscut early warning model;
step S763: performing axis deviation degree analysis according to the real-time rotating speed data and the rotating speed early warning data to obtain a first deviation coefficient;
step S764: and if the first deviation coefficient is not in the preset deviation coefficient, obtaining the second reminding information.
Specifically, since the first cutting posture information is real-time sensing data obtained when the first board cutting machine performs circuit board cutting, and real-time rotating speed data of the first board cutting machine in the second early warning dimension can be obtained according to the first cutting posture information, generally speaking, when the first board cutting machine performs cutting, cutting is performed according to a positioning path, such as curve cutting or irregular cutting, fine changes of tool turning may be caused, fine flaws of roughening and burrs of a circuit board section may occur after the fine changes are accumulated continuously, and the service life of the tool may be affected when the cutting speed is high, the first deviation coefficient is determined by targeted analysis by establishing an early warning model of the second dimension, wherein the first deviation coefficient is a deviation between the tool turning of the first board cutting machine and an initialization tool in the early warning model of the second dimension, when the first deviation coefficient is not in the preset deviation coefficient, it is indicated that iterative fine errors exist in the turning of the cutter of the first board separator, and the circuit board is mistakenly cut, that is, an early warning condition is triggered to obtain the second reminding information. The technical effect that the mistaken cutting early warning automatic triggering reminding is achieved by carrying out data analysis on the early warning model of the second dimension is achieved.
Further, step S760 in the embodiment of the present application further includes:
step S765: obtaining real-time acceleration data of the first board cutting machine in the third early warning dimension according to the first cutting posture information;
step S766: acquiring acceleration early warning data in the third early warning dimension according to the miscut early warning model;
step S767: performing inertial stability analysis according to the real-time acceleration data and the acceleration early warning data to obtain a first stability coefficient;
step S768: and if the first stability coefficient is not in the preset stability coefficient, obtaining the third reminding information.
Specifically, according to the first cutting posture information, obtaining the acceleration real-time data of the first plate cutting machine in the third early warning dimension, then comparing according to the acceleration early warning data in the early warning model of the third dimension, when the first board cutting machine cuts the circuit board, the cutting speed is preset according to the material and the cutting path of the circuit board, therefore, when the first board cutting machine has the cutting speed, the acceleration movement of the cutter can cause the cutter to generate certain inertia, thus influencing the cutting stability and the cutting quality of the cutter, thereby generating the condition of error switching, therefore, a first stability coefficient is obtained by carrying out inertia stability analysis on the real-time acceleration data and the acceleration early warning data, and when the first stability coefficient is not in the preset stability coefficient, triggering an early warning condition to obtain the third reminding information. The automatic early warning of the miscut aiming at the third dimension is achieved.
Compared with the prior art, the invention has the following beneficial effects:
1. the method comprises the steps of collecting historical working parameters of the board cutting machine, performing traversal analysis according to all collected parameter sets to determine a preset safe cutting distance suitable for the cutting characteristics of the board cutting machine, comparing and detecting the distance between a blade and a cut electronic element before cutting, and performing mistaken cutting pre-detection early warning before board cutting operation of the board cutting machine, further, installing an inertial sensor on a main operating part of the board cutting machine, and performing mistaken cutting prevention early warning during cutting operation of the board cutting machine according to the inertial sensor, wherein the analysis in multiple sensing dimensions is realized by constructing a mistaken cutting early warning model based on the inertial sensor, and further correspondingly obtaining output early warning information, the flow mistaken cutting prevention analysis during cutting execution based on the board cutting machine is realized, so that the intelligent supervision of the board cutting machine is realized, therefore, the mistaken cutting supervision of double protection is realized, the working accuracy of the plate separator is improved, the rejection rate is reduced, and the technical effect of intelligent mistaken cutting early warning is realized.
2. Due to the fact that miscut early warning of three dimensions of displacement accuracy, rotating speed deviation and acceleration stability is achieved by constructing the miscut early warning model, early warning judgment is conducted according to comparison results obtained by the three dimensions respectively, corresponding reminding information is generated after early warning conditions are triggered, the reminding information is used as output information of the miscut early warning model, and the technical effect of improving the pertinence and the accuracy of miscut early warning is achieved.
Example two
Based on the same inventive concept as the anti-miscut warning method for the electronic element in the foregoing embodiment, the present invention further provides an anti-miscut warning system for an electronic element, as shown in fig. 5, the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain a historical operating parameter set of a first board separator;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a first preset safe cutting distance by performing traversal analysis on the historical working parameter set, where the first preset safe cutting distance is a safe cutting distance between a blade of the first board separator and an electronic element;
a third obtaining unit 13, wherein the third obtaining unit 13 is configured to obtain a first real-time cutting distance by analyzing an electronic component data set of the first circuit board;
a first judging unit 14, where the first judging unit 14 is configured to obtain a first tracking instruction if the first real-time cutting distance is within the first preset safe cutting distance;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to activate an inertial sensing device to track the first circuit board according to the first tracking instruction, so as to obtain a plurality of sensing data, where the plurality of sensing data includes displacement sensing data, rotation speed sensing data, and acceleration sensing data;
a first generating unit 16, where the first generating unit 16 is configured to perform data fusion on the multiple sensing data according to a multi-sensing fusion algorithm to generate first cutting posture information;
a fifth obtaining unit 17, where the fifth obtaining unit 17 is configured to input the first cutting posture information into the miscut warning model to obtain first warning information.
Further, the system further comprises:
a first determination unit for determining a first temperature control threshold by analyzing a heat core of the first heater;
a third construction unit, configured to construct a step temperature value set according to the first temperature control threshold, where the step temperature value set includes a first temperature value, a second temperature value, a third temperature value, and a fourth temperature value, the first temperature value and the fourth temperature value are critical temperature values, and the second temperature value and the third temperature value are intermediate temperature values;
a fifth obtaining unit, configured to obtain a step time length set by performing time length response configuration on each temperature value in the step temperature value set;
and the first generation unit is used for generating the first early warning response data set according to the step temperature value set and the step duration set.
Further, the system further comprises:
a sixth obtaining unit, configured to obtain a first element by analyzing an electronic component data set of the first circuit board, where the first element is an element with a highest element on the first circuit board;
a seventh obtaining unit, configured to obtain a first preset safe distance threshold according to the first preset safe cutting distance and the first fluctuation threshold;
an eighth obtaining unit, configured to obtain the first real-time cutting distance by detecting a real-time cutting distance between the first element and the first board cutter;
a second judging unit, configured to judge whether the first real-time cutting distance is within the first preset safe distance threshold;
and the second generating unit is used for generating second early warning information if the first real-time cutting distance is not in the first preset safety distance threshold value.
Further, the system further comprises:
a ninth obtaining unit for obtaining a preset cutting path of the first circuit board;
a tenth obtaining unit, configured to obtain a first supervision data set according to the preset cutting path;
an eleventh obtaining unit, configured to analyze the historical working parameter set according to the preset cutting path to obtain a second supervision data set;
the first construction unit is used for constructing the miscut early warning model according to the first supervision data set and the second supervision data set.
Further, the system further comprises:
the second construction unit is used for constructing a plurality of early warning dimensions, wherein the plurality of early warning dimensions comprise a first early warning dimension, a second early warning dimension and a third early warning dimension, the first early warning dimension is displacement early warning, the second early warning dimension is rotation speed early warning, and the third early warning dimension is acceleration early warning;
a third generation unit, configured to use the first supervised data set as main monitored data and the second supervised data set as auxiliary adjustment data to generate a model early warning data set;
and the third construction unit is used for constructing the miscut early warning model according to the early warning dimensions and the model early warning data set.
Further, the system further comprises:
a twelfth obtaining unit, configured to input the first cutting posture information into the miscut warning model, and obtain a first comparison result, a second comparison result, and a third comparison result, where the first comparison result is a displacement comparison result of the first warning dimension, the second comparison result is an offset comparison result of the second position dimension, and the third comparison result is an inertia comparison result of the third warning dimension;
a fourth generating unit, configured to perform early warning judgment according to the first comparison result, the second comparison result, and the third comparison result, and generate first reminding information and/or second reminding information and/or third reminding information;
and the first output unit is used for taking the first reminding information and/or the second reminding information and/or the third reminding information as the first early warning information.
Further, the system further comprises:
a thirteenth obtaining unit, configured to obtain, according to the first cutting posture information, real-time rotation speed data of the first board cutting machine in the second early warning dimension;
a fourteenth obtaining unit, configured to obtain, according to the miscut warning model, rotation speed warning data in the second warning dimension;
a fifteenth obtaining unit, configured to perform axis deviation analysis according to the real-time rotation speed data and the rotation speed early warning data, and obtain a first deviation coefficient;
a sixteenth obtaining unit, configured to obtain the second reminding information if the first deviation coefficient is not within a preset deviation coefficient.
Further, the system further comprises:
a seventeenth obtaining unit, configured to obtain real-time acceleration data of the first board cutting machine in the third early warning dimension according to the first cutting posture information;
an eighteenth obtaining unit, configured to obtain acceleration early warning data in the third early warning dimension according to the miscut early warning model;
a nineteenth obtaining unit, configured to perform inertial stability analysis according to the real-time acceleration data and the acceleration early warning data to obtain a first stability coefficient;
a twentieth obtaining unit, configured to obtain the third reminding information if the first stability coefficient is not in a preset stability coefficient.
Various changes and specific examples of the anti-miscut-prevention early warning method for an electronic component in the first embodiment of fig. 1 are also applicable to the anti-miscut-prevention early warning system for an electronic component in the present embodiment, and through the foregoing detailed description of the anti-miscut-prevention early warning method for an electronic component, a person skilled in the art can clearly know the implementation method of the anti-miscut-prevention early warning system for an electronic component in the present embodiment, so for the brevity of the description, detailed description is not repeated here.
EXAMPLE III
The electronic device of the present application is described below with reference to fig. 6.
Fig. 6 illustrates a schematic structural diagram of an electronic device according to the present application.
Based on the inventive concept of the anti-miscut warning method for the electronic component in the foregoing embodiment, the present invention further provides an anti-miscut warning system for an electronic component, in which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the methods of the anti-miscut warning system for an electronic component described above are implemented.
Where in fig. 6 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the application provides an anti-miscut-preventing early warning method for an electronic element, which is applied to an anti-miscut-preventing early warning system for the electronic element, wherein the system is in communication connection with an inertial sensing device, and the method comprises the following steps: obtaining a historical working parameter set of a first board separator; obtaining a first preset safe cutting distance by traversing and analyzing the historical working parameter set, wherein the first preset safe cutting distance is a safe cutting distance between a blade of the first board separator and an electronic element; obtaining a first real-time cutting distance by analyzing an electronic component data set of a first circuit board; if the first real-time cutting distance is within the first preset safe cutting distance, acquiring a first tracking instruction, and activating the inertial sensing device to track the first board separator according to the first tracking instruction to acquire a plurality of sensing data, wherein the plurality of sensing data comprise displacement sensing data, rotating speed sensing data and acceleration sensing data; performing data fusion on the multiple sensing data according to a multi-sensing fusion algorithm to generate first cutting attitude information; and inputting the first cutting posture information into a miscut early warning model to obtain first early warning information. The problem of exist among the prior art have not comparatively perfect early warning method to the condition that board separator appears the miscut, can't carry out intelligent analysis to the miscut to the condition that mechanical board separator miscut appears influences production efficiency, increases the technical problem of disability rate, reached through carrying out intelligent supervision to the board separator, thereby realize the miscut early warning of dual protection, improve the accuracy of board separator work, reduce the technical effect of disability rate.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An anti-false-cut early warning method for an electronic component is applied to an anti-false-cut early warning system for the electronic component, the system is in communication connection with an inertial sensing device, and the method comprises the following steps:
obtaining a historical working parameter set of a first board separator;
obtaining a first preset safe cutting distance by traversing and analyzing the historical working parameter set, wherein the first preset safe cutting distance is a safe cutting distance between a blade of the first board separator and an electronic element;
obtaining a first real-time cutting distance by analyzing an electronic component data set of a first circuit board;
if the first real-time cutting distance is within the first preset safe cutting distance, a first tracking instruction is obtained;
according to the first tracking instruction, activating the inertial sensing device to track the first board separator to obtain a plurality of sensing data, wherein the sensing data comprise displacement sensing data, rotating speed sensing data and acceleration sensing data;
performing data fusion on the multiple sensing data according to a multi-sensing fusion algorithm to generate first cutting attitude information;
and inputting the first cutting posture information into a miscut early warning model to obtain first early warning information.
2. The method of claim 1, wherein the method further comprises:
obtaining a first component by analyzing an electronic component data set of the first circuit board, wherein the first component is the highest component on the first circuit board;
obtaining a first preset safe distance threshold value according to the first preset safe cutting distance and a first fluctuation threshold value;
detecting a real-time cutting distance between the first element and the first board cutting machine to obtain a first real-time cutting distance;
judging whether the first real-time cutting distance is in the first preset safety distance threshold value or not;
and if the first real-time cutting distance is not in the first preset safety distance threshold value, generating second early warning information.
3. The method of claim 1, wherein the method further comprises:
obtaining a preset cutting path of the first circuit board;
obtaining a first supervision data set according to the preset cutting path;
analyzing the historical working parameter set according to the preset cutting path to obtain a second supervision data set;
and constructing the miscut early warning model according to the first supervision data set and the second supervision data set.
4. The method of claim 3, wherein the miscut warning model is constructed from the first and second sets of supervisory data, the method further comprising:
constructing a plurality of early warning dimensions, wherein the plurality of early warning dimensions comprise a first early warning dimension, a second early warning dimension and a third early warning dimension, the first early warning dimension is displacement early warning, the second early warning dimension is rotation speed early warning, and the third early warning dimension is acceleration early warning;
taking the first supervision data set as main monitoring data and the second supervision data set as auxiliary adjustment data to generate a model early warning data set;
and constructing the miscut early warning model according to the early warning dimensions and the model early warning data set.
5. The method of claim 1, wherein the inputting the first cutting pose information into a miscut warning model obtains first warning information, the method further comprising:
inputting the first cutting posture information into the miscut warning model to obtain a first comparison result, a second comparison result and a third comparison result, wherein the first comparison result is a displacement comparison result of the first warning dimension, the second comparison result is an offset comparison result of the second position dimension, and the third comparison result is an inertia comparison result of the third warning dimension;
performing early warning judgment according to the first comparison result, the second comparison result and the third comparison result to generate first reminding information and/or second reminding information and/or third reminding information;
and taking the first reminding information and/or the second reminding information and/or the third reminding information as the first early warning information.
6. The method of claim 5, wherein the method further comprises:
according to the first cutting attitude information, obtaining real-time rotating speed data of the first plate cutting machine in the second early warning dimension;
obtaining rotation speed early warning data in the second early warning dimension according to the miscut early warning model;
performing axis deviation degree analysis according to the real-time rotating speed data and the rotating speed early warning data to obtain a first deviation coefficient;
and if the first deviation coefficient is not in the preset deviation coefficient, obtaining the second reminding information.
7. The method of claim 5, wherein the method further comprises:
obtaining real-time acceleration data of the first board cutting machine in the third early warning dimension according to the first cutting posture information;
acquiring acceleration early warning data in the third early warning dimension according to the miscut early warning model;
performing inertial stability analysis according to the real-time acceleration data and the acceleration early warning data to obtain a first stability coefficient;
and if the first stability coefficient is not in the preset stability coefficient, obtaining the third reminding information.
8. An anti-miscut warning system for electronic components, the system comprising:
the system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining a historical working parameter set of a first board separator;
a second obtaining unit, configured to obtain a first preset safe cutting distance by performing traversal analysis on the historical working parameter set, where the first preset safe cutting distance is a safe cutting distance between a blade of the first board separator and an electronic element;
a third obtaining unit for obtaining a first real-time cutting distance by analyzing an electronic component data set of the first circuit board;
the first judging unit is used for obtaining a first tracking instruction if the first real-time cutting distance is within the first preset safe cutting distance;
a fourth obtaining unit, configured to activate an inertial sensing device to track the first circuit board according to the first tracking instruction, so as to obtain a plurality of sensing data, where the plurality of sensing data includes displacement sensing data, rotation speed sensing data, and acceleration sensing data;
the first generating unit is used for carrying out data fusion on the multiple sensing data according to a multi-sensing fusion algorithm to generate first cutting attitude information;
and the fifth obtaining unit is used for inputting the first cutting posture information into the miscut early warning model to obtain first early warning information.
9. An electronic device, comprising a processor and a memory:
the memory is used for storing;
the processor is configured to execute the method of any one of claims 1-7 by calling.
10. A computer program product comprising a computer program and/or instructions, characterized in that the computer program and/or instructions, when executed by a processor, implement the steps of the method of any one of claims 1-7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115933574A (en) * | 2023-01-09 | 2023-04-07 | 浙江聚优非织造材料科技有限公司 | Intelligent control method and system for producing non-woven products |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115933574A (en) * | 2023-01-09 | 2023-04-07 | 浙江聚优非织造材料科技有限公司 | Intelligent control method and system for producing non-woven products |
| CN115933574B (en) * | 2023-01-09 | 2024-04-26 | 浙江聚优非织造材料科技有限公司 | Intelligent control method and system for producing non-woven product |
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