Automatic sagger conveying and detecting system and using method thereof

Abstract

The invention discloses an automatic sagger conveying and detecting system and a use method thereof, relates to the technical field of automatic detection, and aims to solve the problems of low detection efficiency and non-uniform standard caused by dependence on manual detection in a sagger use process; and meanwhile, the technical problem that whether the marked saggar can be maintained or not is difficult to assess when the pressure result or the detection result is unqualified is solved. According to the method, the saggar is marked; initialized quality data of the marked saggar and quality data before and after each time of use are collected, so that use change data of the marked saggar can be obtained. The crack and the internal damage which cannot be identified by the marked sagger can be tested by carrying out air tightness inspection on the marked sagger, and accidents caused by cracking of the crack and the internal damage in the working state of the sagger are avoided. The change of the loss weight, the damage area and the damage depth can be converted into intuitive numbers through the feature migration index, and the damage degree of the currently marked saggar can be evaluated more efficiently through the application of the feature migration index to judge whether the saggar has maintenance value or not.

Description

Technical Field

[0001] The invention belongs to the field of automatic detection, and relates to a sagger automatic detection technology, in particular to a sagger automatic conveying detection system and a use method thereof. Background Art

[0002] As a key recycling container, saggers play a vital role in ceramics, refractory materials and other high-temperature firing processes. They are subjected to the severe test of extreme temperature changes, that is, they frequently experience severe impacts of thermal stress in continuous heating and cooling cycles. With the passage of time and the accumulation of frequency of use, saggers are prone to progressive damage such as crack propagation, spalling, and wear. These microscopic damages gradually accumulate and may eventually lead to the overall failure of the sagger structure, causing product defects, reducing the yield rate, and even affecting the stable operation and safety of the entire production line.

[0003] At present, most of the monitoring of sagger damage still relies on manual visual inspection, which is significantly limited by the professional skills, experience accumulation, physical strength and time of the inspectors. With the rapid improvement of the automation level of the manufacturing industry and the acceleration of the production pace, the traditional manual inspection mode has exposed many shortcomings: first, the inspection efficiency is low and it is difficult to match the highly automated production line; second, the inspection standard is highly subjective, greatly affected by personal factors, lacks uniformity and repeatability; third, the excessive reliance on human resources increases the labor intensity and management costs, which is not conducive to sustainable development.

[0004] Therefore, there is an urgent need to develop a sagger automatic conveying detection system and a method of using the same to solve these problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an automatic conveying and detection system for saggers and a method for using the same, which are used to solve the technical problem that the saggers rely on manual detection during use, resulting in low detection efficiency and inconsistent standards; at the same time, it is difficult to evaluate whether the marked saggers with unqualified pressure results or detection results can be maintained. First, the saggers are marked to obtain a number of marked saggers with different numbers, so that each sagger has its own code; then, the marked saggers are tested for air tightness to check for minor damage; then, the quality data of the marked saggers is checked to determine whether there is any damage that affects the use of the marked saggers; finally, the characteristic migration index is referenced to judge whether the marked saggers can be maintained to improve the utilization rate of the marked saggers and solve the above problems.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application provides a method for using a sagger for automatic conveying detection, comprising:

[0007] Step 1: Marking a number of saggers respectively to obtain a number of marked saggers, and obtaining initial quality data of the number of marked saggers; wherein the quality data includes weight loss, damage area and damage depth.

[0008] Step 2: transport several marked saggers to the inspection station to obtain the quality data of the marked saggers each time they enter and end the working state; obtain the characteristic migration index based on the weight loss, damage area and damage depth of the marked saggers;

[0009] Step 3: Fill the marked sagger with gas to a set pressure value, and let the marked sagger stand for a preset time, and obtain a pressure result according to the air pressure after the marked sagger has been left standing for the preset time; wherein the pressure result includes unqualified and qualified pressure;

[0010] Step 4: obtaining multiple preset areas, generating corresponding damage degrees according to the damage area and damage depth in the preset areas, and taking the preset area with the largest damage degree as the local risk area; the preset area refers to an area with the same preset area as any position on the surface of the marked sagger; and,

[0011] For the marked saggers with qualified pressure, the test results are obtained according to the quality data of the marked saggers entering the working state and the degree of damage in the local risk area; the test results include qualified and unqualified; the degree of damage includes the accumulated damage area and damage depth;

[0012] For the marked saggers with unqualified pressure results or test results, the final inspection results are obtained according to the characteristic migration index; among which, the final inspection results include repairable and unrepairable.

[0013] In order to prevent the sagger from breaking during continuous use, thereby causing system failure or product quality problems, the sagger is generally inspected; and the traditional inspection method mainly relies on manual inspection, which is not only inefficient but also has inconsistent inspection quality, and cannot well achieve the control and full utilization of the sagger quality. The present application inspects the sagger in an automated manner, thereby ensuring the uniformity and efficiency of the inspection.

[0014] Preferably, the marking sagger is filled with gas to a set pressure value, and the marking sagger is left to stand for a preset time, and a pressure result is obtained according to the air pressure after the marking sagger has been left to stand for the preset time, including:

[0015] The mouth of the marking sagger is sealed with a silicone plug to keep the marking sagger cavity in a sealed state;

[0016] Fill the marking sagger cavity with gas through the one-way valve on the silicone plug until the pressure reaches the set value;

[0017] Place the marked sagger in a constant pressure environment for a preset time;

[0018] Determine whether the air pressure of the marked sagger is lower than the air pressure threshold; if yes, the pressure is qualified; if no, it is unqualified;

[0019] By sealing the mouth of the marking sagger with a silicone plug, air tightness can be ensured and the marking sagger will not be damaged; and the use of a one-way valve can avoid unstable air pressure caused by gas dissipation after the marking sagger is filled with gas. The marked sagger filled with gas is placed in a constant pressure environment to avoid interference from external factors; the purpose of leaving it still for a set period of time is to magnify the impact of minor cracks or damage, making the data comparison more obvious.

[0020] Preferably, the detection result is obtained according to the quality data of the marking sagger entering the working state and the degree of damage in the local risk area, including:

[0021] A1: Determine whether the quality data of the sagger entering the working state is qualified; if yes, jump to A2; if no, the sagger is marked as unqualified;

[0022] A2: Whether the accumulated damage area in the local risk area is greater than the first threshold; if not, jump to A3; if yes, mark the sagger as unqualified;

[0023] A3: Based on whether the cumulative damage area in the local risk area is greater than the first threshold; if not, the sagger is marked as qualified, and if so, the sagger is marked as unqualified.

[0024] The damage position of the marking sagger is random, and minor damage will not affect the function of the marking sagger. However, if the minor damage is concentrated, it will affect the support of the marking sagger, resulting in defective products and breakage of the marking sagger.

[0025] Preferably, judging whether the quality data of the marking sagger entering the working state is qualified includes:

[0026] B1: Determine whether the weight loss of the marked sagger is higher than the weight threshold; if not, jump to B2; if yes, mark the quality data of the marked sagger as unqualified;

[0027] B2: Determine whether the maximum damage area of ​​the marked sagger exceeds the area threshold; if not, jump to B3; if yes, mark the quality data of the marked sagger as unqualified;

[0028] B3: Determine whether the deepest damage depth of the marked sagger exceeds the depth threshold; if not, mark the quality data of the marked sagger as qualified; if yes, mark the quality data of the marked sagger as unqualified.

[0029] The marking sagger will wear during use. This wear may not cause obvious cracks, but the wear will make the thickness of the sagger uneven. This will cause uneven heating of the internal objects when heated, which will have a certain impact on the product.

[0030] The damage area and damage depth of the sagger directly affect the stability of the structure. The stability of the sagger can be quickly determined by evaluating the maximum damage area and maximum damage depth of the marked sagger.

[0031] Preferably, obtaining the final inspection result according to the characteristic migration index includes:

[0032] Determine whether the characteristic migration index exceeds the risk threshold; if yes, mark the final inspection result of the marked sagger as unqualified and cannot be repaired; if no, mark the final inspection result of the marked sagger as unqualified but can be repaired.

[0033] Preferably, the characteristic migration index is obtained based on the weight loss, damage area and damage depth of the marked sagger, including:

[0034] Obtain the cumulative damage area, cumulative damage depth, and loss weight of the marked sagger before it enters the working state when used for the i-th time, and mark them as SMAi, SHAi, and XZAi respectively; where the loss weight refers to the difference between the weight of the marked sagger at the time of initialization and the weight after wear;

[0035] The characteristic migration index TQZAi before the marked sagger enters the working state when it is used for the i-th time is calculated by the formula TQZAi=α1×SMAi×SHAi / SZV+α2×XZAi / XZA; wherein SZV is the volume of the marked sagger, SZW is the weight of the marked sagger, α1 and α2 are both proportional coefficients greater than 0, and i is the number of times the marked sagger is used and is a positive integer;

[0036] Obtain the cumulative damage area, cumulative damage depth, and loss weight of the marked sagger before it leaves the working state when used for the i-th time, and mark them as SMBi, SHBi, and XZBi respectively;

[0037] The characteristic migration index TQZBi after the marking sagger leaves the working state when it is used for the i-th time is calculated by the formula TQZBi=α1×SMBi×SHBi / SZV+α2×XZBi / XZA.

[0038] Preferably, after step 2, the method further includes: calculating a characteristic migration index change ΔTQZi from the i-1th time the marking sagger leaves the working state to the i-th time it enters the working state according to the formula ΔTQZi=TQZAi-TQZB(i-1);

[0039] Determine whether ΔTQZi is greater than the change threshold. If yes, check the fault in the storage process; if no, do not perform any operation.

[0040] The quality data of the marking sagger changes continuously during use. The marking sagger will be stored after use. It may be damaged during the storage process. When damage occurs, it is necessary to promptly determine whether the storage process is reasonable to avoid further damage to the marking sagger during the subsequent storage process.

[0041] Preferably, the process of obtaining the risk threshold includes:

[0042] Collect the quality data of all the marked saggers with faults before they enter the working state;

[0043] Calculate the characteristic migration index of the faulty marked sagger based on the quality data;

[0044] Arrange the characteristic migration indexes of all faulty marked saggers in ascending order into a risk array;

[0045] Take the first n% of the characteristic migration index data of the risk array, calculate the average value, and obtain the risk threshold; where n≥30.

[0046] Preferably, the remaining number of uses of the marked sagger marked as qualified by the test result is predicted, including:

[0047] The quality curve is obtained by fitting the curve based on the quality data of each time the marked sagger enters the working state and the number of times it is used; the number of times used refers to the number of times the marked sagger ends the working state

[0048] According to the order of the number of times of use from small to large, the quality data of each point is extracted from the quality curve and input into the sagger evaluation model; wherein the sagger evaluation model is constructed based on the artificial intelligence model;

[0049] The sagger evaluation model evaluates whether the marked sagger is damaged according to the input quality data; if yes, the number of times the sagger is used when it is damaged is recorded; if no, the quality data continues to be input into the sagger evaluation model;

[0050] The remaining number of uses of the marked sagger is calculated based on the number of uses when the sagger is damaged and the number of uses that have already occurred.

[0051] During the continuous use of the marking sagger, the quality data of the marking sagger will change continuously. The quality trend of the marking sagger can be estimated by fitting the curve according to this change law, thereby predicting the quality data generated by the marking sagger as the number of uses changes.

[0052] Preferably, the sagger evaluation model is constructed based on an artificial intelligence model, including:

[0053] Collect the quality data of the sagger entering the working state in the database as the test input data and the corresponding data of whether the sagger is damaged after the working state ends as the test output data;

[0054] The artificial intelligence model is trained based on the test input data and the test output data to obtain the sagger evaluation model; wherein the artificial intelligence model includes a BP neural network model or a RBF neural network model.

[0055] Another aspect of the present application provides a sagger automatic conveying and detection system, comprising:

[0056] Conveying module: used to complete the conveying of marked saggers;

[0057] Data acquisition module: marking a number of saggers respectively to obtain a number of marked saggers, and obtaining quality data of the number of marked saggers; wherein the quality data includes weight loss, damage area and damage depth; and transmitting the number of marked saggers to the inspection station to obtain the quality data of the marked saggers each time they enter and end the working state; obtaining the characteristic migration index based on the weight loss, damage area and damage depth of the marked saggers;

[0058] Air pressure detection module: fill the marked sagger with gas to the set air pressure value, and let the marked sagger stand for a preset time, and obtain the pressure result according to the air pressure after the marked sagger stands for the preset time; wherein the pressure result includes unqualified and qualified pressure;

[0059] Data processing module: obtaining multiple preset areas, generating corresponding damage degrees according to the damage area and damage depth in the preset areas, and taking the preset area with the largest damage degree as the local risk area; the preset area refers to an area with the same preset area as any position on the surface of the marking sagger; and,

[0060] For the marked saggers with qualified pressure, the test results are obtained according to the quality data of the marked saggers entering the working state and the degree of damage in the local risk area; the test results include qualified and unqualified; the degree of damage includes the accumulated damage area and damage depth;

[0061] For the marked saggers (the pressure result or the test result is unqualified), the final inspection result is obtained according to the characteristic migration index; wherein, the final inspection result includes repairable and unrepairable.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] 1. This application marks the saggers so that each marked sagger has an exclusive identity information. The initialization quality data of the marked saggers and the quality data before and after each use are collected, so that the usage change data of the marked saggers can be obtained, which provides data support for the later use and life evaluation of the marked saggers. By performing an airtightness inspection on the marked saggers, cracks and internal damage that cannot be identified in the marked saggers can be tested to avoid these cracks and internal damage from breaking when the saggers are in working state and causing accidents. The characteristic migration index can convert the changes in weight loss, damage area and damage depth into intuitive numbers. The use of the characteristic migration index can more efficiently evaluate the degree of damage of the current marked saggers and determine whether it is worth maintaining.

[0064] 2. During the continuous use cycle of the marking sagger, its quality data presents a dynamic change trend. The correlation between the key parameters in the quality data obtained from the test: damage area, damage depth and weight loss and the number of uses is carefully regressed in real time to construct a quality curve. This quality curve can estimate the damage area, damage depth and weight loss of the marking sagger according to the number of uses; inputting these estimated data into the trained sagger evaluation model can more efficiently evaluate the failure of the sagger after the estimated number of uses. This method can better judge the service life of the marking sagger, providing data support for the use adjustment of the marking sagger. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0066] Figure 1 A schematic diagram of a method for automatic conveying and detecting saggers according to an embodiment of the present invention;

[0067] Figure 2 This is a schematic diagram of the estimated usage times of the sagger according to an embodiment of the present invention;

[0068] Figure 3 A schematic diagram of damage degree detection according to an embodiment of the present invention;

[0069] Figure 4 The figure is a schematic diagram of an automatic conveying and detecting system for saggers according to an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0071] See also Figure 1 The first embodiment of the present invention provides a method for using a sagger for automatic conveying detection, comprising:

[0072] Step S1: Marking a number of unused saggers to obtain marked saggers, and obtaining initial quality data of the marked saggers; wherein the quality data includes weight loss, damage area and damage depth; obtaining a characteristic migration index based on the influence of the weight loss, damage area and damage depth of the marked saggers on the performance of the marked saggers;

[0073] Step S2: transporting a number of marking saggers to a testing station to obtain quality data of the marking saggers each time they enter a working state and end a working state;

[0074] Among them, the conveying process of marking saggers includes:

[0075] The marking sagger is taken from the storage station to the conveying device by the robot arm.

[0076] The marking sagger is transported to the inspection station by a conveying device.

[0077] The marked saggers are weighed and 3D laser scanned at the inspection station.

[0078] Record and mark the weight loss, damage area and damage depth of the sagger when it enters the working state.

[0079] Transport the marked sagger into the working area.

[0080] The conveyor marks the sagger out of the working area.

[0081] Transport the marked sagger to the inspection station.

[0082] The marked saggers are weighed and 3D laser scanned at the inspection station.

[0083] Record and mark the damage weight, damage area and damage depth of the sagger at the end of its working state.

[0084] The sagger is taken from the conveying device to the upper storage station by the robot arm.

[0085] Among them, the characteristic migration index is obtained based on the weight loss, damage area and damage depth of the marked sagger, including:

[0086] Obtain the cumulative damage area, cumulative damage depth, and loss weight of the marked sagger before it enters the working state when used for the i-th time, and mark them as SMAi, SHAi, and XZAi respectively; where the loss weight refers to the difference between the weight of the marked sagger at the time of initialization and the weight after wear;

[0087] The characteristic migration index TQZAi before the marked sagger enters the working state when it is used for the i-th time is calculated by the formula TQZAi=α1×SMAi×SHAi / SZV+α2×XZAi / XZA; wherein SZV is the volume of the marked sagger, SZW is the weight of the marked sagger, α1 and α2 are both proportional coefficients greater than 0, and i is the number of times the marked sagger is used and is a positive integer;

[0088] Obtain the cumulative damage area, cumulative damage depth, and weight loss of the marked sagger before it leaves the working state when used for the i-th time, and mark them as SMBi, SHBi, and XZBi respectively;

[0089] The characteristic migration index TQZBi after the marking sagger leaves the working state when it is used for the i-th time is calculated by the formula TQZBi=α1×SMBi×SHBi / SZV+α2×XZBi / XZA.

[0090] According to the formula ΔTQZi=TQZAi-TQZB(i-1), calculate the characteristic migration index change ΔTQZi from the i-1th time the marking sagger leaves the working state to the i-th time it enters the working state;

[0091] Determine whether ΔTQZi is greater than the change threshold. If yes, check for faults in the storage process; if no, do not perform any operation.

[0092] For example: Assume that α1 and α2 are both 5; SMAi is 10 mm 2 ; SHAi is 8mm; XZAi is 100g; i is 30; SMB(i-1) is 9mm 2 ; SHB(i-1) is 7mm; XZB(i-1) is 90g; SZV is 1000mm 3 ; SZW is 1000g; change threshold is 0.1.

[0093] Then ΔTQZi=TQZAi-TQZB(i-1)=0.135, which exceeds the change threshold of 0.1, and the fault in the storage process is then checked.

[0094] Step S3: After the marking sagger is filled with gas until the gas pressure reaches a set value, the marking sagger is left to stand for a preset time;

[0095] For example:

[0096] 1. Fill a marked sagger with gas to 0.5MPa, and after standing for 5 minutes, measure the gas pressure of the marked sagger to be 0.49MPa;

[0097] 2. Fill another marked sagger with gas to 0.5MPa. After standing for 5 minutes, measure the gas pressure of the marked sagger to be 0.3MPa;

[0098] This is a measure to detect the airtightness of the marked sagger, through which unobservable damage can be checked.

[0099] Step S4: Determine whether the air pressure of the marking sagger is lower than the air pressure threshold, if yes, proceed to step S5; if not, proceed to step S8.

[0100] Step S5: obtaining the quality data of the marking sagger entering the working state and the damage degree in the preset area; wherein the preset area refers to an area with the same preset area as any position on the surface of the marking sagger; the damage degree includes the accumulated damage area and damage depth.

[0101] The quality data of the marking sagger is constantly changing during its use, and damage may still occur from the time the marking sagger is used to the time it is used again. Therefore, the quality data of the marking sagger is judged before it enters the working area each time, which can enhance the control over the quality of the marking sagger.

[0102] Step S6: Determine whether the quality data of the marked sagger is within the qualified range; if yes, proceed to step S7; if no, proceed to step S8;

[0103] Among them, judging whether the quality data marking the sagger entering the working state is qualified includes:

[0104] B1: Determine whether the weight loss of the marked sagger is higher than the weight threshold; if not, jump to B2; if yes, mark the quality data of the marked sagger as unqualified;

[0105] B2: Determine whether the maximum damage area of ​​the marked sagger exceeds the area threshold; if not, jump to B3; if yes, mark the quality data of the marked sagger as unqualified;

[0106] B3: Determine whether the deepest damage depth of the marked sagger exceeds the depth threshold; if not, mark the quality data of the marked sagger as qualified; if yes, mark the quality data of the marked sagger as unqualified.

[0107] For example, the weight threshold of the marked sagger is 10% of the weight of the marked sagger; if the initial weight of a marked sagger is 1000g, and after a period of use it is only 800g, the weight loss is 200g, which exceeds the weight threshold of 100g, then the marked sagger is judged to be unqualified.

[0108] Step S7: Determine whether the damage degree of the marked sagger is within the qualified range. If yes, the test result is qualified; if not, proceed to step S8;

[0109] Step S8: Determine whether the characteristic migration index exceeds the risk threshold. If yes, mark the final inspection result of the marked sagger as unqualified and cannot be repaired; if no, mark the final inspection result of the marked sagger as unqualified but can be repaired.

[0110] Among them, the cumulative damage area, cumulative damage depth, and loss weight of the marked sagger before entering the working state when it is used for the i-th time are obtained and marked as SMAi, SHAi, and XZAi respectively; among them, the loss weight refers to the difference between the weight of the marked sagger initialized and the weight after wear;

[0111] The characteristic migration index TQZAi before the marked sagger enters the working state when it is used for the i-th time is calculated by the formula TQZAi=α1×SMAi×SHAi / SZV+α2×XZAi / XZA; wherein SZV is the volume of the marked sagger, SZW is the weight of the marked sagger, α1 and α2 are both proportional coefficients greater than 0, and i is the number of times the marked sagger is used and is a positive integer;

[0112] For example: Assume that α1 and α2 are both 5; SMAi is 10 mm 2 ; SHAi is 8mm; XZAi is 100g; i is 30; SZV is 1000mm 3 ; SZW is 1000g; risk threshold is 1.00.

[0113] Then TQZAi=0.9, that is, the characteristic migration index of the marked sagger before entering the working state for the 30th time is 0.9. Since it does not exceed the risk threshold, this marked sagger is unqualified but can be repaired.

[0114] The process of obtaining the risk threshold includes:

[0115] Collect the quality data of all the marked saggers with faults before they enter the working state;

[0116] Calculate the characteristic migration index of the faulty marked sagger based on the quality data;

[0117] Arrange the characteristic migration indexes of all faulty marked saggers in ascending order into a risk array;

[0118] Take the first n% of the characteristic migration index data of the risk array, calculate the average value, and obtain the risk threshold; where n≥30.

[0119] For example: The risk array is: 1.00, 1.00, 1.00, 1.01, 1.01, 1.01, 1.01, 1.01, 1.01, 1.02;

[0120] Take the characteristic migration index data of the first n% of the risk array and calculate the average value to obtain a risk threshold of 1.00.

[0121] See also Figure 2 , the steps for marking the estimated number of times the sagger is used include:

[0122] Step S11: fitting a curve according to the quality data of each time the working state of the marking sagger ends and the number of times used to obtain a quality curve; wherein the number of times used refers to the number of times the working state of the marking sagger ends.

[0123] Step S12: extracting the quality data of each point on the quality curve in the order of the number of times of use from the smallest to the largest, and inputting the data into the sagger evaluation model; wherein the sagger evaluation model is constructed based on the artificial intelligence model.

[0124] Step S13: The sagger evaluation model evaluates whether the marked sagger is damaged according to the input quality data; if yes, proceed to step S14; if no, proceed to step S15.

[0125] Step S14: Record the number of times the sagger is used when it is damaged.

[0126] Step S15: Calculate the remaining number of uses of the marked sagger according to the number of uses when the sagger is damaged and the number of uses that have already occurred.

[0127] Among them, the sagger evaluation model is built based on the artificial intelligence model, including:

[0128] Collect the quality data of the sagger entering the working state in the database as the test input data and the corresponding data of whether the sagger is damaged after the working state ends as the test output data;

[0129] The artificial intelligence model is trained based on the test input data and the test output data to obtain the sagger evaluation model; wherein the artificial intelligence model includes a BP neural network model or a RBF neural network model.

[0130] The present application records the quality data of the marking sagger, and predicts the quality trend of the marking sagger according to the number of times the marking sagger is used and the quality data fitting curve, so that the later use status of the marking sagger can be well predicted. Then, the predicted marking sagger status is evaluated by the pre-trained sagger evaluation model to determine whether the marking sagger will be damaged in the later stage, so that the damage of the marking sagger can be well avoided, and the production personnel can determine the corresponding measures in advance to avoid the impact of the damage of the marking sagger in the later stage.

[0131] See also Figure 3 , the steps for detecting the degree of damage within the setting area of ​​the marking sagger include:

[0132] Step S21: on the surface of the marked sagger, a plurality of preset areas are randomly selected for inspection; the preset area refers to an area size that is preset;

[0133] Step S22: calculating the cumulative damage area or cumulative damage depth inside each selected preset area;

[0134] Step S23: Determine whether the cumulative damage area of ​​any preset area exceeds the first threshold. If yes, proceed to step S26; if not, proceed to step S24.

[0135] Step S24: Determine whether the cumulative damage depth of any preset area exceeds the second threshold value. If yes, proceed to step S26; if not, proceed to step S25.

[0136] Step S25: determining whether the quality data of the marked sagger before entering the working area is qualified.

[0137] Step S26: Determine whether the characteristic migration index exceeds the risk threshold.

[0138] See also Figure 4 Another aspect of the present invention provides a sagger automatic conveying and detection system, comprising:

[0139] Conveying module: used to complete the conveying of marked saggers;

[0140] Data acquisition module: marking a number of saggers respectively to obtain a number of marked saggers, and obtaining quality data of the number of marked saggers; wherein the quality data includes weight loss, damage area and damage depth; and transmitting the number of marked saggers to the inspection station to obtain the quality data of the marked saggers each time they enter and end the working state; obtaining the characteristic migration index based on the weight loss, damage area and damage depth of the marked saggers;

[0141] Air pressure detection module: fill the marked sagger with gas to the set air pressure value, and let the marked sagger stand for a preset time, and obtain the pressure result according to the air pressure after the marked sagger stands for the preset time; wherein the pressure result includes unqualified and qualified pressure;

[0142] Data processing module: obtaining multiple preset areas, generating corresponding damage degrees according to the damage area and damage depth in the preset areas, and taking the preset area with the largest damage degree as the local risk area; the preset area refers to an area with the same preset area as any position on the surface of the marking sagger; and,

[0143] For the marked saggers with qualified pressure, the test results are obtained according to the quality data of the marked saggers entering the working state and the degree of damage in the local risk area; the test results include qualified and unqualified; the degree of damage includes the accumulated damage area and damage depth;

[0144] For the marked saggers with unqualified pressure results or test results, the final inspection results are obtained according to the characteristic migration index; among which, the final inspection results include repairable and unrepairable.

[0145] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0146] The working principle of the present invention is as follows: firstly, the saggers are marked to obtain a plurality of marked saggers with different numbers, so that each sagger has its own code; then, the marked saggers are tested for air tightness to check for minor damage; then, the quality data of the marked saggers is checked to determine whether there is damage that affects the use of the marked saggers; finally, the characteristic migration index is referenced to determine whether the marked saggers can be maintained to improve the utilization rate of the marked saggers.

[0147] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for automatic conveying and detection of saggers, characterized in that: The following steps are involved: Step 1: Marking a number of saggers respectively to obtain a number of marked saggers, and obtaining initial quality data of the number of marked saggers; wherein the quality data includes loss weight, damage area and damage depth; Step 2: transport several marked saggers to the inspection station to obtain the quality data of the marked saggers each time they enter and end the working state; obtain the characteristic migration index based on the weight loss, damage area and damage depth of the marked saggers; Step 3: Fill the marked sagger with gas to a set pressure value, and let the marked sagger stand for a preset time, and obtain a pressure result according to the air pressure after the marked sagger has been left standing for the preset time; wherein the pressure result includes unqualified and qualified pressure; Step 4: obtaining multiple preset areas, generating corresponding damage degrees according to the damage area and damage depth in the preset areas, and taking the preset area with the largest damage degree as the local risk area; the preset area refers to an area with the same preset area as any position on the surface of the marked sagger; and, For the marked saggers with qualified pressure, the test results are obtained according to the quality data of the marked saggers entering the working state and the degree of damage in the local risk area; the test results include qualified and unqualified; the degree of damage includes the accumulated damage area and damage depth; For the marked saggers with unqualified pressure results or test results, the final inspection results are obtained according to the characteristic migration index; among which, the final inspection results include repairable and unrepairable.

2. A method for automatic conveying and detecting a sagger according to claim 1, characterized in that: The method of obtaining the test result according to the quality data of the sagger entering the working state and the degree of damage in the local risk area includes: A1: Determine whether the quality data of the sagger entering the working state is qualified; if yes, jump to A2; if no, the sagger is marked as unqualified; A2: Whether the accumulated damage area in the local risk area is greater than the first threshold; if not, jump to A3; if yes, mark the sagger as unqualified; A3: Based on whether the cumulative damage area in the local risk area is greater than the first threshold; if not, the sagger is marked as qualified, and if so, the sagger is marked as unqualified.

3. A method for automatic conveying and detecting a sagger according to claim 2, characterized in that: Determine whether the quality data marking the sagger entering the working state is qualified, including: B1: Determine whether the weight loss of the marked sagger is higher than the weight threshold; if not, jump to B2; if yes, mark the quality data of the marked sagger as unqualified; B2: Determine whether the maximum damage area of ​​the marked sagger exceeds the area threshold; if not, jump to B3; if yes, mark the quality data of the marked sagger as unqualified; B3: Determine whether the deepest damage depth of the marked sagger exceeds the depth threshold; if not, mark the quality data of the marked sagger as qualified; if yes, mark the quality data of the marked sagger as unqualified.

4. A method for automatic conveying and detecting a sagger according to claim 1, characterized in that: The characteristic migration index is obtained based on the weight loss, damage area and damage depth of the marked sagger, including: Obtain the cumulative damage area, cumulative damage depth, and loss weight of the marked sagger before it enters the working state when used for the i-th time, and mark them as SMAi, SHAi, and XZAi respectively; where the loss weight refers to the difference between the weight of the marked sagger at the time of initialization and the weight after wear; The characteristic migration index TQZAi before the marked sagger enters the working state when it is used for the i-th time is calculated by the formula TQZAi=α1×SMAi×SHAi / SZV+α2×XZAi / XZA; wherein SZV is the volume of the marked sagger, SZW is the weight of the marked sagger, α1 and α2 are both proportional coefficients greater than 0, and i is the number of times the marked sagger is used and is a positive integer; Obtain the cumulative damage area, cumulative damage depth, and weight loss of the marked sagger before it leaves the working state when used for the i-th time, and mark them as SMBi, SHBi, and XZBi respectively; The characteristic migration index TQZBi after the marking sagger leaves the working state when it is used for the i-th time is calculated by the formula TQZBi=α1×SMBi×SHBi / SZV+α2×XZBi / XZA.

5. The method for using the automatic conveying detection of saggers according to claim 1 is characterized in that: The obtaining of the final inspection result according to the characteristic migration index includes: Determine whether the characteristic migration index exceeds the risk threshold; if yes, mark the final inspection result of the marked sagger as unqualified and irreparable; if no, mark the final inspection result of the marked sagger as unqualified but repairable.

6. A method for using the automatic conveying detection of saggers according to claim 4, characterized in that: After step 2, it also includes: According to the formula ΔTQZi=TQZAi-TQZB(i-1), calculate the characteristic migration index change ΔTQZi from the i-1th time the marking sagger leaves the working state to the i-th time it enters the working state; Determine whether ΔTQZi is greater than the change threshold. If yes, check for faults in the storage process; if no, do not perform any operation.

7. A method for automatic conveying and detecting saggers according to claim 5, characterized in that: The steps to obtain the risk threshold include: Collect the quality data of all the marked saggers with faults before they enter the working state; Calculating a characteristic migration index of the faulty marking sagger based on the quality data; Arrange the characteristic migration indexes of all faulty marked saggers in ascending order into a risk array; Take the first n% of the characteristic migration index data of the risk array, calculate the average value, and obtain the risk threshold; where n≥30.

8. A sagger automatic conveying and detection system, characterized in that: include: Data acquisition module: marking a number of saggers respectively to obtain a number of marked saggers, and obtaining initial quality data of the number of marked saggers; wherein the quality data includes loss weight, damage area and damage depth; and, Transmitting a number of marked saggers to the inspection station to obtain the quality data of the marked saggers each time they enter and end the working state; obtaining the characteristic migration index based on the weight loss, damage area and damage depth of the marked saggers; Air pressure detection module: fill the marked sagger with gas to the set air pressure value, and let the marked sagger stand for a preset time, and obtain the pressure result according to the air pressure after the marked sagger stands for the preset time; wherein the pressure result includes unqualified and qualified pressure; Data processing module: obtaining multiple preset areas, generating corresponding damage degrees according to the damage area and damage depth in the preset areas, and taking the preset area with the largest damage degree as the local risk area; the preset area refers to an area with the same preset area as any position on the surface of the marking sagger; and, For the marked saggers with qualified pressure, the test results are obtained according to the quality data of the marked saggers entering the working state and the degree of damage in the local risk area; the test results include qualified and unqualified; the degree of damage includes the accumulated damage area and damage depth; For the marked saggers with unqualified pressure results or test results, the final inspection results are obtained according to the characteristic migration index; among which, the final inspection results include repairable and unrepairable.

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