Electroforming Processing Quality Inspection System Based on Artificial Intelligence

Abstract

The present invention relates to the field of quality inspection technology, and in particular to an electroforming processing quality inspection system based on artificial intelligence, comprising a quality inspection module, a data calibration module, a quality assessment module and a recording module. The quality inspection module comprises an information acquisition unit, a temperature detection unit and a density detection unit. In the electroforming processing quality inspection system based on artificial intelligence, the largest hole on the surface of an electroforming plate is selected by a calculation unit, and a piece of the entire area of ​​the electroforming plate with the same proportion as the hole is calculated at the same time, and then the density in the selected area of ​​the electroforming plate is detected again by the detection unit. At the same time, the temperature of the electroforming plate at the first time of production completion and the surface temperature after cooling are detected by the temperature detection unit. According to the principle of thermal expansion and contraction, the changes in the size of the holes on the surface of the electroforming plate are detected by the information acquisition unit respectively, and the impurities inside the electroforming plate are calculated by the data calculation unit.

Description

Technical Field

[0001] The present invention relates to the technical field of quality inspection, and in particular to an electroforming quality inspection system based on artificial intelligence. Background Art

[0002] Electroforming is a processing technology that uses the principle of electrolysis to deposit metal or other conductive materials on the surface of a conductor to form a desired shape. During the electroforming process, metal ions in the electrolyte are reduced and deposited on the surface of the cathode (the object to be processed) under the action of the electric field, gradually forming a casting corresponding to the shape of the cathode.

[0003] During processing, existing electroplated plates need to be inspected by combining the holes on their surface with their internal density. However, during the inspection process, if some areas of the overall area of ​​the electroplated plate have large holes and low density, at this time, if only the density and holes of the overall area of ​​the electroplated plate can be used for inspection and calculation, the inspection results of the electroplated plate will be inaccurate. In view of this, we propose an electroplating processing quality inspection system based on artificial intelligence. Summary of the invention

[0004] The purpose of the present invention is to provide an electroforming processing quality detection system based on artificial intelligence, which is used to detect the electroforming plate in real time through the quality detection module, and at the same time detects the density inside the electroforming plate through the density detection unit. When the electroforming plate is detected to have multiple holes on the surface through the quality detection module, the size of the area with larger hole fragmentation is collected through the information collection unit, and then the electroforming plate detection result is calculated through the classification unit according to the size of the area and the size of the hole fragmentation, and finally the effect of the larger hole size on the electroforming plate on the overall electroforming plate is determined through the result judgment unit, so as to judge the processing quality of the electroforming plate;

[0005] The temperature detection unit detects the temperature of the electroformed plate at the first time of production and the surface temperature after cooling. According to the principle of thermal expansion and contraction, the information acquisition unit detects the change in the size of the holes on the surface of the electroformed plate. The density detection unit detects the temperature of the electroformed plate at the first time of production and the change in the internal density after cooling. Then the data calculation unit calculates the impurities inside the electroformed plate.

[0006] To achieve the above-mentioned purpose, the present invention provides an electroforming processing quality detection system based on artificial intelligence, including a quality detection module, a data calibration module, a quality assessment module and a recording module;

[0007] The quality detection module includes an information acquisition unit, a temperature detection unit and a density detection unit;

[0008] The information collection unit is used to detect the data of the electroformed plate after processing through an inductive sensor, and to establish a database, and then upload the detection results to the established database, and at the same time, the staff inputs the detection standards of the electroformed plate into the database;

[0009] The data of the electroformed plate after processing are: the size of the electroformed plate, the number of holes on the surface and the size of the holes;

[0010] When the electroformed plate approaches the sensor, the size of the electroformed plate will affect the magnetic resistance of the magnetic circuit inside the inductive sensor. The change in the size of the electroformed plate will cause the thickness of the air gap in the magnetic circuit to change, thereby changing the magnetic resistance. Due to the change in magnetic resistance, the self-inductance coefficient of the coil will also change. The change in the self-inductance coefficient reflects the change in the size of the electroformed plate. The inductive sensor senses the change in the size of the electroformed plate by detecting the change in the self-inductance coefficient of the coil. The change is converted into a change in voltage or frequency, which is detected and amplified by the electronic circuit inside the inductive sensor. The specific calculation formula is as follows:

[0011] Relationship between inductance value and size: Inductance value Total magnetic resistance of the magnetic circuit Related to, expressed as

[0012]

[0013] in, is the number of turns of the coil inside the inductive sensor

[0014]

[0015] Calculation of magnetic resistance: magnetic resistance It is the magnetic resistance between the core and the armature and the magnetic reluctance of the air gap It consists of two parts:

[0016] in, and air gap length and the magnetic cross-sectional area of ​​the air gap related;

[0017] Detection of size change: When the size of the electroformed plate changes, the air gap length d changes, thus changing , and thus change ;

[0018] Signal conversion: Inductive sensors convert changes in inductance value into voltage or frequency signals, which are related to the dimensions of the electroformed plate by the following formula:

[0019]

[0020] in, is the output voltage, c is a function that describes the relationship between the inductance value and the output voltage;

[0021] The temperature detection unit is used to detect the temperature of the electroformed plate immediately after production and the surface temperature after cooling by using an infrared thermal imager;

[0022] When the electroformed plate is produced, it is first tested by the temperature detection unit, and when the electroformed plate is cooled, it is tested again by the temperature detection unit;

[0023] When the electroformed plate is in thermal equilibrium, it will emit infrared radiation to the surrounding space. The intensity of the radiation is related to the temperature of the electroformed plate. The infrared thermal imager receives the infrared radiation and converts it into electrical signals, and then converts these signals into temperature values ​​through the following algorithm;

[0024] Specifically, when the infrared thermal imager is working, its detector receives infrared radiation from the surface of the electroformed plate. There is a mathematical relationship between the intensity of the radiation and the temperature of the object, which is usually expressed by the following formula:

[0025]

[0026] It is the infrared radiation intensity received by the surface of the object. The unit of I is W / m². is the emissivity of an object, which reflects the object's ability to radiate heat and is between 0.9 and 1.0. is the Stefan-Boltzmann constant, , is the absolute temperature of the object;

[0027] The density detection unit is used to detect the density of the electroformed plate immediately after production and the internal density after cooling by optical detection method;

[0028] When using the optical detection method, after the light is reflected by the surface of the electroformed plate, the remaining light enters the interior of the electroformed plate. Some changes will occur during the refraction and absorption process, thereby detecting the internal density of the electroformed plate. The specific calculation method is as follows:

[0029] Step 1: Measure the reflected light intensity and reflection angle ;

[0030] Step 2: Calculate the refractive index of the electroformed plate according to Fresnel's law and the absorption coefficient ;

[0031]

[0032]

[0033] Step 3: Calculate the density of the electroformed plate based on the refractive index and absorption coefficient ;

[0034]

[0035] Indicates the actual volume of the electroformed plate, and represents the refractive index and absorption coefficient of the standard sample, Indicates the density of the standard sample.

[0036] The data calibration module includes a result determination unit, a hole selection unit and a verification calculation unit;

[0037] The result determination unit is used to determine the quality of the electroformed plate after the overall inspection through the inspection values ​​detected by the information acquisition unit and the density detection unit;

[0038] When used, the result determination unit compares the detection values ​​detected by the information acquisition unit and the density detection unit with the detection standards of the electroformed plate in the database by using a direct comparison method. The working principle of the direct comparison method is as follows:

[0039] Difference = actual measurement value - test standard

[0040] Wherein, the actual measured value is the detection value detected by the information acquisition unit and the density detection unit;

[0041] If the difference is within the range allowed by the inspection standard of the electroformed plate input by the staff, the processing quality of the electroformed plate is considered to be qualified; if the difference exceeds the allowed range, the processing quality of the electroformed plate is considered to be unqualified;

[0042] The testing standards of the electroformed plate are manually input into the database established by the information collection unit by the staff;

[0043] The hole selection unit is used to select the largest hole in the surface of the electroformed plate in the database established in the information collection unit by using the direct comparison method, and then select a block in the entire area of ​​the electroformed plate with the same proportion as the hole by using the block determination method;

[0044] The calculation method of the block determination method is:

[0045] Determine the center coordinates of the hole and radius ;

[0046] Calculate the side length of the selected area ;

[0047]

[0048]

[0049] Determine the coordinates of the upper left corner of the selected area , so that it coincides with the center of the hole;

[0050] The verification calculation unit is used to predict and calculate the density, size, number of surface holes and hole size of the electroformed plate after production according to the production process of the electroformed plate, and then compare the values ​​detected by the information collection unit and the density detection unit with the values ​​detected by the information collection unit and the density detection unit through the above-mentioned direct comparison method to verify the accuracy of the detection by the information collection unit and the density detection unit;

[0051] The production process of cast plates is a technology that uses electric current to drive chemical reactions in electrolyte solutions to deposit metal on the electrode surface;

[0052] The method for predicting the density of electroformed plates after production is the empirical formula method. First, a mathematical model between the density of electroformed plates and electroforming process parameters is established. Based on experimental data, a multivariate linear or polynomial function relationship is established to predict the density of electroformed plates. The specific calculation formula is as follows:

[0053]

[0054] is the density of the electroformed plate, is the current density, is the voltage, is the temperature, is the electrolyte concentration, is the empirical coefficient;

[0055] The method for predicting the size of the electroformed plate after production is the geometric calculation method. The geometric calculation method is based on the physical and chemical principles in the electroformed plate production process. The geometric relationship is used to predict the size of the electroformed plate after production. This method takes into account the current efficiency, the uniformity of the electrochemical reaction, and various geometric parameters in the electroforming process.

[0056]

[0057] is the increase in thickness of the electroformed plate, is the current, It is the electroforming time. is the density of the electroformed material, is the number of electrons transferred in the electrochemical reaction, is Faraday's constant, is the electroformed plate area;

[0058] The method for predicting the number and size of surface holes after electroforming plate production is the model prediction method. The model prediction method is used to predict the number and size of surface holes in electroforming plate production. This method takes into account multiple variables in the production process, current density, electrolyte composition, temperature, stirring speed, and their effects on hole formation. The calculation formula of the model prediction method is as follows:

[0059]

[0060]

[0061] and It is a function trained based on historical data.

[0062] The data calibration module also includes a detection unit;

[0063] The detection unit recalculates the data and density of the electroformed plate in the selected area in the hole selection unit, and compares the calculated value with the detection standard of the electroformed plate input by the staff of the result judgment unit by using the above direct comparison method to compare whether the electroformed plate in this area is qualified;

[0064] When the above detection is completed, the unqualified and qualified results are output to the data recording unit.

[0065] The quality assessment module includes a calibration unit;

[0066] The calibration unit is used to calibrate the electroformed plate detection standard in the database established by the information acquisition unit through a learning calculation method when the electroformed plate is produced in different environments and the electroformed plate detection standard changes due to different production processes;

[0067] The learning calculation method is:

[0068] Assuming we have two main influencing factors: environmental factor A temperature and process factor B casting speed, the inspection standard C of the electroformed plate is expressed as:

[0069]

[0070] is a constant term, representing the baseline test standard when there is no environmental or process influence. It is the coefficient of environmental factor A, which indicates the change of the test standard for each unit change of temperature. It is the coefficient of process factor B, which indicates the change of the test standard for each unit change of casting speed. is a random error term, which represents the impact of other unconsidered factors on the detection standard.

[0071] The quality assessment module also includes an observation unit;

[0072] The observation unit is used to calculate the difference in the size of the holes on the surface of the electroformed plate caused by the temperature of the electroformed plate at the first time of production completion and the surface temperature after cooling by a difference calculation method;

[0073] The calculation formula for the relationship between the difference and the hole size is based on the thermal expansion principle of the electroformed plate. When the temperature of the electroformed plate changes, the material will expand or contract according to its thermal expansion coefficient, thereby affecting the size of the hole. The calculation formula of the difference calculation method is as follows:

[0074]

[0075] is the change in hole size, is the sensitivity of the hole size change to temperature change, which depends on the type of material and the geometry of the hole. It is the temperature change, that is, the difference between the temperature at the first moment of production completion and the temperature after cooling.

[0076] The recording module includes a data calculation unit and a data recording unit;

[0077] The hole selection unit is used to calculate the impurities during the processing of the electroformed plate according to the difference values ​​of the hole sizes on the surface of the electroformed plate in the quality assessment module and then use the impurity calculation method;

[0078] The calculation formula of the impurity calculation method is as follows: First, a mathematical model is established to associate the hole size with the impurity amount, and the relationship function between the hole size and the impurity amount is determined. It is assumed that the impurity amount is proportional to the hole size, that is:

[0079]

[0080] It is impurity quality. is the coefficient of relationship between impurity mass and pore size, is the difference in hole size;

[0081] The data recording unit is used to automatically store the detection results of the quality detection module, the data calibration module, and the quality assessment module through the Storm method;

[0082] The calculation method of the Storm method is as follows: Storm uses the concept of "Tuple", each Tuple represents a data record, Storm's calculation units are called "Spout" and "Bolt", Spout is responsible for data production and input, Bolt is responsible for data processing and output, Storm's calculation principle is to organize Spout and Bolt through "Topology" and transmit data through "Stream";

[0083]

[0084] .

[0085] The recording module also includes distinguishing taxa;

[0086] The classification unit is used to classify the data in the data recording unit to determine whether the result is qualified or unqualified, and the standard of classification is manually input into the information collection unit by the staff to establish a database;

[0087] When the data in the data recording unit is greater than the standard for distinction, it is qualified;

[0088] If the data in the data recording unit is less than the distinction standard, it is considered unqualified.

[0089] The quality detection module is used to detect the electroformed plate in real time, and at the same time, detect the density inside the electroformed plate through the density detection unit. When the electroformed plate is detected to have multiple holes on the surface by the quality detection module, the size of the area with larger hole fragments is collected through the information collection unit, and then the electroformed plate detection result is calculated through the classification unit according to the size of the area and the size of the hole fragments. Finally, the result judgment unit is used to judge the influence of the larger hole size on the overall electroformed plate, so as to judge the processing quality of the electroformed plate;

[0090] Then, the temperature detection unit detects the temperature of the electroformed plate at the first time of production and the surface temperature after cooling. According to the principle of thermal expansion and contraction, the information acquisition unit detects the change in the size of the holes on the surface of the electroformed plate. Then, the density detection unit detects the temperature of the electroformed plate at the first time of production and the change in the internal density after cooling. Then, the data calculation unit calculates the impurities inside the electroformed plate.

[0091] Compared with the prior art, the present invention has the following beneficial effects:

[0092] In the electroforming processing quality inspection system based on artificial intelligence, the largest hole in the surface of the electroforming plate is selected by the hole selection unit, and a piece of the whole area of ​​the electroforming plate with the same proportion as the hole is calculated, and then the density in the selected area of ​​the electroforming plate is detected again by the detection unit, and finally the electroforming plate is classified by the classification unit. At the same time, the temperature of the electroforming plate at the first time of production completion and the surface temperature after cooling are detected by the temperature detection unit. According to the principle of thermal expansion and contraction, the change of the size of the holes on the surface of the electroforming plate is detected by the information acquisition unit, and then the temperature of the electroforming plate at the first time of production completion and the change of the internal density after cooling are detected by the density detection unit, and then the impurities inside the electroforming plate are calculated by the data calculation unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] Figure 1 It is the overall module principle diagram of the present invention;

[0094] Figure 2 This is a schematic diagram of the quality detection module of the present invention;

[0095] Figure 3 This is a schematic diagram of the data calibration module of the present invention;

[0096] Figure 4 is a schematic diagram of a quality assessment module of the present invention;

[0097] Figure 5 This is a schematic diagram of the recording module of the present invention.

[0098] The meaning of each number in the figure is:

[0099] 100, quality detection module; 110, information collection unit; 120, temperature detection unit; 130, density detection unit;

[0100] 200, data calibration module; 210, result determination unit; 220, hole selection unit; 230, verification calculation unit; 240, detection unit;

[0101] 300, quality assessment module; 310, calibration unit; 320, observation unit;

[0102] 400, recording module; 410, data calculation unit; 420, data recording unit; 430, classification unit. DETAILED DESCRIPTION

[0103] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0104] An electroforming processing quality inspection system based on artificial intelligence includes a quality inspection module 100, a data calibration module 200, a quality assessment module 300 and a recording module 400;

[0105] The quality detection module 100 includes an information acquisition unit 110, a temperature detection unit 120 and a density detection unit 130;

[0106] The information collection unit 110 is used to detect the data of the electroformed plate after processing through an inductive sensor, and to establish a database, and then upload the detection results to the established database, and at the same time, the staff inputs the detection standard of the electroformed plate into the database;

[0107] The data of the electroformed plate after processing are: the size of the electroformed plate, the number of holes on the surface and the size of the holes;

[0108] When the electroformed plate approaches the sensor, the size of the electroformed plate will affect the magnetic resistance of the magnetic circuit inside the inductive sensor. The change in the size of the electroformed plate will cause the thickness of the air gap in the magnetic circuit to change, thereby changing the magnetic resistance. Due to the change in magnetic resistance, the self-inductance coefficient of the coil will also change. The change in the self-inductance coefficient reflects the change in the size of the electroformed plate. The inductive sensor senses the change in the size of the electroformed plate by detecting the change in the self-inductance coefficient of the coil. The change is converted into a change in voltage or frequency, which is detected and amplified by the electronic circuit inside the inductive sensor. The specific calculation formula is as follows:

[0109] Relationship between inductance value and size: Inductance value Total magnetic resistance of the magnetic circuit Related, expressed as:

[0110]

[0111] in, is the number of turns of the coil inside the inductive sensor;

[0112]

[0113] Calculation of magnetic resistance: magnetic resistance It is the magnetic resistance between the core and the armature and the magnetic reluctance of the air gap It consists of two parts:

[0114] in, and air gap length and the magnetic cross-sectional area of ​​the air gap related;

[0115] Detection of size change: When the size of the electroformed plate changes, the air gap length d changes, thus changing , and thus change ;

[0116] Signal conversion: Inductive sensors convert changes in inductance value into voltage or frequency signals, which are related to the dimensions of the electroformed plate by the following formula:

[0117]

[0118] in, is the output voltage, c is a function that describes the relationship between the inductance value and the output voltage;

[0119] The temperature detection unit 120 is used to detect the temperature of the electroformed plate immediately after production is completed and the surface temperature after cooling by using an infrared thermal imager;

[0120] When the electroformed plate is produced, it is first detected by the temperature detection unit 120, and when the electroformed plate is cooled, it is detected again by the temperature detection unit 120;

[0121] When the electroformed plate is in thermal equilibrium, it will emit infrared radiation to the surrounding space. The intensity of the radiation is related to the temperature of the electroformed plate. The infrared thermal imager receives the infrared radiation and converts it into electrical signals, and then converts these signals into temperature values ​​through the following algorithm;

[0122] Specifically, when the infrared thermal imager is working, its detector receives infrared radiation from the surface of the electroformed plate. There is a mathematical relationship between the intensity of the radiation and the temperature of the object, which is usually expressed by the following formula:

[0123]

[0124] It is the infrared radiation intensity received by the surface of the object. The unit of I is W / m². is the emissivity of an object, which reflects the object's ability to radiate heat and is between 0.9 and 1.0. is the Stefan-Boltzmann constant, , is the absolute temperature of the object;

[0125] The density detection unit 130 is used to detect the density of the electroformed plate immediately after production and the internal density after cooling by optical detection method;

[0126] When using the optical detection method, after the light is reflected by the surface of the electroformed plate, the remaining light enters the interior of the electroformed plate. Some changes will occur during the refraction and absorption process, thereby detecting the internal density of the electroformed plate. The specific calculation method is as follows:

[0127] Step 1: Measure the reflected light intensity and reflection angle ;

[0128] Step 2: Calculate the refractive index of the electroformed plate according to Fresnel's law and the absorption coefficient ;

[0129]

[0130]

[0131] Step 3: Calculate the density of the electroformed plate based on the refractive index and absorption coefficient ;

[0132]

[0133] Indicates the actual volume of the electroformed plate, and represents the refractive index and absorption coefficient of the standard sample, Indicates the density of the standard sample.

[0134] The data calibration module 200 includes a result determination unit 210, a hole selection unit 220 and a verification calculation unit 230;

[0135] The result determination unit 210 is used to determine the quality of the electroformed plate after the overall inspection through the inspection values ​​detected by the information acquisition unit 110 and the density detection unit 130;

[0136] When in use, the result determination unit 210 compares the detection values ​​detected by the detection standard and information collection unit 110 and the density detection unit 130 with the detection standard of the electroformed plate in the database by using a direct comparison method. The working principle of the direct comparison method is as follows:

[0137] Difference = actual measurement value - test standard;

[0138] The actual measured value is the detection value detected by the information acquisition unit 110 and the density detection unit 130;

[0139] If the difference is within the range allowed by the inspection standard of the electroformed plate input by the staff, the processing quality of the electroformed plate is considered to be qualified; if the difference exceeds the allowed range, the processing quality of the electroformed plate is considered to be unqualified;

[0140] The inspection standard of the electroformed plate is manually input into the information collection unit 110 by the staff to establish a database;

[0141] The hole selection unit 220 is used to select the largest hole in the surface of the electroformed plate in the database established in the information collection unit 110 by using the direct comparison method, and then select a block in the entire area of ​​the electroformed plate with the same proportion as the hole by using the block determination method;

[0142] The calculation method of the block determination method is:

[0143] Determine the center coordinates of the hole and radius ;

[0144] Calculate the side length of the selected area ;

[0145]

[0146]

[0147] Determine the coordinates of the upper left corner of the selected area , so that it coincides with the center of the hole;

[0148] The verification calculation unit 230 is used to predict and calculate the density, size, number of surface holes and hole size of the electroformed plate after production according to the production process of the electroformed plate, and then compare the values ​​detected by the information acquisition unit 110 and the density detection unit 130 with the values ​​detected by the information acquisition unit 110 and the density detection unit 130 through the above-mentioned direct comparison method to verify the accuracy of the detection by the information acquisition unit 110 and the density detection unit 130;

[0149] The production process of cast plates is a technology that uses electric current to drive chemical reactions in electrolyte solutions to deposit metal on the electrode surface;

[0150] The method for predicting the density of electroformed plates after production is the empirical formula method. First, a mathematical model between the density of electroformed plates and electroforming process parameters is established. Based on experimental data, a multivariate linear or polynomial function relationship is established to predict the density of electroformed plates. The specific calculation formula is as follows:

[0151]

[0152] is the density of the electroformed plate, is the current density, is the voltage, is the temperature, is the electrolyte concentration, is the empirical coefficient;

[0153] The method for predicting the size of the electroformed plate after production is the geometric calculation method. The geometric calculation method is based on the physical and chemical principles in the electroformed plate production process. The geometric relationship is used to predict the size of the electroformed plate after production. This method takes into account the current efficiency, the uniformity of the electrochemical reaction, and various geometric parameters in the electroforming process.

[0154]

[0155] is the increase in thickness of the electroformed plate, is the current, It is the electroforming time. is the density of the electroformed material, is the number of electrons transferred in the electrochemical reaction, is Faraday's constant, is the electroformed plate area;

[0156] The method for predicting the number and size of surface holes after electroforming plate production is the model prediction method. The model prediction method is used to predict the number and size of surface holes in electroforming plate production. This method takes into account multiple variables in the production process, current density, electrolyte composition, temperature, stirring speed, and their effects on hole formation. The calculation formula of the model prediction method is as follows:

[0157]

[0158]

[0159] and It is a function trained based on historical data.

[0160] The data calibration module 200 further includes a detection unit 240;

[0161] The detection unit 240 recalculates the data and density of the electroformed plate after processing in the selected area in the hole selection unit 220, and the calculated value and the detection standard of the electroformed plate input by the staff of the result judgment unit 210 are compared by the above direct comparison method to see whether the electroformed plate in this area is qualified;

[0162] When the above detection is completed, the unqualified and qualified results are output to the data recording unit 420.

[0163] The quality assessment module 300 also includes a calibration unit 310;

[0164] The calibration unit 310 is used to calibrate the electroformed plate detection standard in the database established by the information acquisition unit 110 through a learning calculation method when the electroformed plate is produced in different environments and different production processes cause the electroformed plate detection standard to change;

[0165] The learning calculation method is:

[0166] Assuming we have two main influencing factors: environmental factor A temperature and process factor B casting speed, the inspection standard C of the electroformed plate is expressed as:

[0167]

[0168] is a constant term, representing the baseline test standard when there is no environmental or process influence. It is the coefficient of environmental factor A, which indicates the change of the test standard for each unit change of temperature. It is the coefficient of process factor B, which indicates the change of the test standard for each unit change of casting speed. is a random error term, which represents the impact of other unconsidered factors on the detection standard.

[0169] The quality assessment module 300 also includes an observation unit 320;

[0170] The observation unit 320 is used to calculate the difference in the size of the holes on the surface of the electroformed plate caused by the temperature of the electroformed plate at the first time of production completion and the surface temperature after cooling by a difference calculation method;

[0171] The calculation formula for the relationship between the difference and the hole size is based on the thermal expansion principle of the electroformed plate. When the temperature of the electroformed plate changes, the material will expand or contract according to its thermal expansion coefficient, thereby affecting the size of the hole. The calculation formula of the difference calculation method is as follows:

[0172]

[0173] is the change in hole size, is the sensitivity of the hole size change to temperature change, which depends on the type of material and the geometry of the hole. It is the temperature change, that is, the difference between the temperature at the first moment of production completion and the temperature after cooling.

[0174] The recording module 400 includes a data calculation unit 410 and a data recording unit 420;

[0175] The data calculation unit 410 is used to calculate the impurities in the electroformed plate during processing according to the difference values ​​of the hole sizes on the surface of the electroformed plate in the quality assessment module 300 by using an impurity calculation method;

[0176] The calculation formula of the impurity calculation method is as follows: First, a mathematical model is established to associate the hole size with the impurity amount, and the relationship function between the hole size and the impurity amount is determined. It is assumed that the impurity amount is proportional to the hole size, that is:

[0177]

[0178] It is impurity quality. is the coefficient of relationship between impurity mass and pore size, is the difference in hole size;

[0179] The data recording unit 420 is used to automatically store the detection results of the quality detection module 100, the data calibration module 200, and the quality assessment module 300 through the Storm method;

[0180] The calculation method of the Storm method is as follows: Storm uses the concept of "Tuple", each Tuple represents a data record, Storm's calculation units are called "Spout" and "Bolt", Spout is responsible for data production and input, Bolt is responsible for data processing and output, Storm's calculation principle is to organize Spout and Bolt through "Topology" and transmit data through "Stream";

[0181]

[0182] .

[0183] The recording module 400 further includes a classification unit 430;

[0184] The classification unit 430 is used to classify the data in the data recording unit 420 into qualified and unqualified results, and the classification standard is manually input into the information collection unit 110 by the staff to establish a database;

[0185] The data in the data recording unit 420 is qualified when it is greater than the distinction standard;

[0186] If the data in the data recording unit 420 is smaller than the classification standard, it is considered unqualified.

[0187] The quality inspection module 100 is used to detect the density inside the electroformed plate in real time. When the electroformed plate is detected to have multiple holes on the surface by the quality inspection module 100, the size of the area with larger hole fragments is collected by the quality inspection module 100, and then the electroformed plate detection result is calculated by the data calibration module 200 according to the size of the area and the size of the hole fragments. Finally, the recording module 400 measures the impact of the larger hole size on the overall electroformed plate, thereby judging the processing quality of the electroformed plate. When evaluating the processing quality of the electroformed plate, the calibration unit 310 analyzes the surface of the electroformed plate produced in different environments to determine the detection standard.

[0188] Then, the quality inspection module 100 detects the temperature of the electroformed plate at the first time of production and the surface temperature after cooling. According to the principle of thermal expansion and contraction, the quality assessment module 300 detects the change in the size of the holes on the surface of the electroformed plate. Then, the quality inspection module 100 detects the temperature of the electroformed plate at the first time of production and the change in the internal density after cooling. Then, the quality inspection module 100 calculates the impurities inside the electroformed plate.

[0189] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. The electroforming quality inspection system based on artificial intelligence is characterized by: It comprises a quality detection module (100), a data calibration module (200), a quality assessment module (300) and a recording module (400); The quality detection module (100) is used to detect the density inside the electroformed plate in real time. When the electroformed plate is detected to have multiple holes on its surface by the quality detection module (100), the size of the area with larger hole fragments is collected by the quality detection module (100), and then the electroformed plate detection result is calculated by the data calibration module (200) based on the area size and the hole fragment size. Finally, the recording module (400) is used to determine the impact of the larger hole size on the entire electroformed plate, thereby judging the processing quality of the electroformed plate. When evaluating the processing quality of the electroformed plate, the quality evaluation module (300) is used to analyze and detect the surface of the electroformed plate produced in different environments; Then, the quality detection module (100) detects the temperature of the electroformed plate at the first time of production completion and the surface temperature after cooling. According to the principle of thermal expansion and contraction, the quality assessment module (300) detects the change in the size of the holes on the surface of the electroformed plate. Then, the quality detection module (100) detects the temperature of the electroformed plate at the first time of production completion and the change in the internal density after cooling. Then, the quality detection module (100) calculates the impurities inside the electroformed plate. The quality detection module (100) comprises an information collection unit (110), a temperature detection unit (120) and a density detection unit (130); The information collection unit (110) is used to detect the data of the electroformed plate after processing through an inductive sensor, establish a database, and then upload the detection results to the established database, while the staff inputs the detection standard of the electroformed plate into the database; the data of the electroformed plate after processing are: the size of the electroformed plate, the number of holes on the surface, and the size of the holes; When the electroformed plate approaches the sensor, the size of the electroformed plate will affect the magnetic resistance of the magnetic circuit inside the inductive sensor. The change in the size of the electroformed plate will cause the thickness of the air gap in the magnetic circuit to change, thereby changing the magnetic resistance. Due to the change in magnetic resistance, the self-inductance coefficient of the coil will also change. The change in the self-inductance coefficient reflects the change in the size of the electroformed plate. The inductive sensor senses the change in the size of the electroformed plate by detecting the change in the self-inductance coefficient of the coil. The change is converted into a change in voltage or frequency, which is detected and amplified by the electronic circuit inside the inductive sensor. The specific calculation formula is as follows: Relationship between inductance value and size: Inductance value Total magnetic resistance of the magnetic circuit Related to, expressed as ； in, is the number of turns of the coil inside the inductive sensor; ； Calculation of magnetic resistance: magnetic resistance It is the magnetic resistance between the core and the armature and the magnetic reluctance of the air gap It consists of two parts: in, and air gap length and the magnetic cross-sectional area of ​​the air gap related; Detection of size change: When the size of the electroformed plate changes, the air gap length d changes, thus changing , and thus change ; Signal conversion: Inductive sensors convert changes in inductance value into voltage or frequency signals, which are related to the dimensions of the electroformed plate by the following formula: ； in, is the output voltage, c is a function that describes the relationship between the inductance value and the output voltage; The temperature detection unit (120) is used to detect the temperature of the electroformed plate immediately after production is completed and the surface temperature after cooling by means of an infrared thermal imager; When the electroformed plate is produced, it is first detected by the temperature detection unit (120), and when the electroformed plate is cooled, it is again detected by the temperature detection unit (120); When the electroformed plate is in thermal equilibrium, it will emit infrared radiation to the surrounding space. The intensity of the radiation is related to the temperature of the electroformed plate. The infrared thermal imager receives the infrared radiation and converts it into electrical signals, and then converts these signals into temperature values ​​through the following algorithm; When the infrared thermal imager is working, its detector receives infrared radiation from the surface of the electroformed plate. There is a mathematical relationship between the intensity of the radiation and the temperature of the object, which is usually expressed by the following formula: ； It is the infrared radiation intensity received by the surface of the object. The unit of I is W / m². is the emissivity of an object, which reflects the object's ability to radiate heat and is between 0.9 and 1.

0. is the Stefan-Boltzmann constant, , is the absolute temperature of the object; The density detection unit (130) is used to detect the density of the electroformed plate immediately after production is completed and the internal density after cooling by an optical detection method; When using the optical detection method, after the light is reflected by the surface of the electroformed plate, the remaining light enters the interior of the electroformed plate. Some changes will occur during the refraction and absorption process, thereby detecting the internal density of the electroformed plate. The specific calculation method is as follows: Step 1: Measure the reflected light intensity and reflection angle ; Step 2: Calculate the refractive index of the electroformed plate according to Fresnel's law and the absorption coefficient ; ； ； Step 3: Calculate the density of the electroformed plate based on the refractive index and absorption coefficient ; ； Indicates the actual volume of the electroformed plate, and represents the refractive index and absorption coefficient of the standard sample, Indicates the density of the standard sample.

2. The electroforming quality inspection system based on artificial intelligence according to claim 1 is characterized in that: The data calibration module (200) comprises a result determination unit (210), a hole selection unit (220) and a verification calculation unit (230); The result determination unit (210) is used to determine the quality of the electroformed plate after overall inspection based on the inspection value detected by the quality inspection module (100); When in use, the result determination unit (210) compares the detection density value detected by the quality detection module (100) with the detection standard of the electroformed plate in the database by using a direct comparison method. The working principle of the direct comparison method is as follows: Difference = actual measurement value - test standard; The actual measured value is the density detection value detected by the quality detection module (100); If the difference is within the range allowed by the inspection standard of the electroformed plate input by the staff, the processing quality of the electroformed plate is considered to be qualified; if the difference exceeds the allowed range, the processing quality of the electroformed plate is considered to be unqualified; The inspection standard of the electroformed plate is manually input into the quality inspection module (100) by the staff to establish a database; The hole selection unit (220) is used to select the largest hole on the surface of the electroformed plate in the above-established database by using the above-mentioned direct comparison method, and then select a block in the entire area of ​​the electroformed plate with the same proportion as the hole by using the block determination method; The calculation method of the block determination method is: Determine the center coordinates of the hole and radius ; Calculate the side length of the selected area ; ； ； Determine the coordinates of the upper left corner of the selected area , so that it coincides with the center of the hole; The verification calculation unit (230) is used to predict and calculate the density, size, number of surface holes and hole size values ​​of the electroformed plate after production according to the production process of the electroformed plate, and then compare the density value detected by the quality detection module (100) with the density value detected by the quality detection module (100) through the above-mentioned direct comparison method to verify the accuracy of the information collection unit (110) and the density detection unit (130) in the quality detection module (100); The production process of cast plates is a technology that uses electric current to drive chemical reactions in electrolyte solutions to deposit metal on the electrode surface; The method for predicting the density of electroformed plates after production is the empirical formula method. First, a mathematical model between the density of electroformed plates and electroforming process parameters is established. Based on experimental data, a multivariate linear or polynomial function relationship is established to predict the density of electroformed plates. The specific calculation formula is as follows: ； is the density of the electroformed plate, is the current density, is the voltage, is the temperature, is the electrolyte concentration, is the empirical coefficient; The method for predicting the size of the electroformed plate after production is the geometric calculation method. The geometric calculation method is based on the physical and chemical principles in the electroformed plate production process. The geometric relationship is used to predict the size of the electroformed plate after production. This method takes into account the current efficiency, the uniformity of the electrochemical reaction, and various geometric parameters in the electroforming process. ； is the increase in thickness of the electroformed plate, is the current, It is the electroforming time. is the density of the electroformed material, is the number of electrons transferred in the electrochemical reaction, is Faraday's constant, is the electroformed plate area; The method for predicting the number and size of surface holes after electroforming plate production is the model prediction method. The model prediction method is used to predict the number and size of surface holes in electroforming plate production. This method takes into account multiple variables in the production process, current density, electrolyte composition, temperature, stirring speed, and their effects on hole formation. The calculation formula of the model prediction method is as follows: ； ； and It is a function trained based on historical data.

3. The electroforming quality inspection system based on artificial intelligence according to claim 2 is characterized in that: The quality assessment module (300) further comprises a calibration unit (310); The calibration unit (310) is used to calibrate the electroformed plate detection standard in the database established by the information collection unit (110) in the quality detection module (100) by a learning calculation method when the electroformed plate is produced in different environments and the electroformed plate detection standard changes due to different production processes; The learning calculation method is: There are two main influencing factors: environmental factor A temperature and process factor B casting speed. The inspection standard C of electroformed plate is expressed as: ； is a constant term, representing the baseline test standard when there is no environmental or process influence. It is the coefficient of environmental factor A, which indicates the change of the test standard for each unit change of temperature. It is the coefficient of process factor B, which indicates the change of the test standard for each unit change of casting speed. is a random error term, which represents the impact of other unconsidered factors on the detection standard.

4. The electroforming quality inspection system based on artificial intelligence according to claim 3 is characterized in that: The recording module (400) includes a data calculation unit (410) and a data recording unit (420); The data calculation unit (410) is used to calculate the impurities during the processing of the electroformed plate according to the difference values ​​of the hole sizes on the surface of the electroformed plate in the quality assessment module (300) by using an impurity calculation method; The calculation formula of the impurity calculation method is as follows: First, a mathematical model is established to associate the hole size with the impurity amount, and the relationship function between the hole size and the impurity amount is determined. It is assumed that the impurity amount is proportional to the hole size, that is: ； It is impurity quality. is the coefficient of relationship between impurity mass and pore size, is the difference in hole size; The data recording unit (420) is used to automatically store the detection results of the quality detection module (100), the data calibration module (200), and the quality assessment module (300) through the Storm method.

5. The electroforming quality inspection system based on artificial intelligence according to claim 4 is characterized in that: The data calibration module (200) further includes a detection unit (240); The detection unit (240) recalculates the data and density of the electroformed plate in the selected area in the hole selection unit (220) after processing, and compares the calculated value with the detection standard of the electroformed plate input by the staff of the result judgment unit (210) using the above-mentioned direct comparison method to see whether the electroformed plate in this area is qualified; When the above detection is completed, the unqualified and qualified results are output to the data recording unit (420).

6. The electroforming quality inspection system based on artificial intelligence according to claim 1 is characterized in that: The quality assessment module (300) further comprises an observation unit (320); The observation unit (320) is used to calculate the difference in the size of the holes on the surface of the electroformed plate caused by the temperature of the electroformed plate at the first time of production completion and the surface temperature after cooling by a difference calculation method; The calculation formula for the relationship between the difference and the hole size is based on the thermal expansion principle of the electroformed plate. When the temperature of the electroformed plate changes, the material will expand or contract according to its thermal expansion coefficient, thereby affecting the size of the hole. The calculation formula of the difference calculation method is as follows: ； is the change in hole size, is the sensitivity of the hole size change to temperature change, which depends on the type of material and the geometry of the hole. It is the temperature change, that is, the difference between the temperature at the first moment of production completion and the temperature after cooling.

7. The electroforming quality inspection system based on artificial intelligence according to claim 4 is characterized in that: The recording module (400) further includes a classification unit (430); The distinguishing and classifying unit (430) is used to distinguish the data in the data recording unit (420) to obtain qualified and unqualified results, and the distinguishing standard is manually input into the information collection unit (110) by a staff member to establish a database; When the data in the data recording unit (420) is greater than the distinction standard, it is qualified; When the data in the data recording unit (420) is smaller than the distinguishing standard, it is considered unqualified.

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