CN117408614A - Intelligent management system and method based on high-precision die - Google Patents
Intelligent management system and method based on high-precision die Download PDFInfo
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Abstract
The invention relates to the technical field of computers, in particular to an intelligent management system and method based on a high-precision die. The method comprises the following steps: s1, collecting initial information of a die; s2, judging the grade of the die; s3, taking the die and recording the ex-warehouse information of the die; s4, finishing the use of the die; s5, collecting images of the working surface of the die before warehousing; s6, obtaining a die state evaluation value; s7, judging whether the warehouse-in of the die meets a preset standard or not; s8, performing secondary judgment on the die which does not meet the preset standard, or correcting the rated service life, or scrapping; s9, warehousing the die meeting the preset standard. Realizing the efficient management of the high-precision die.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent management system and method based on a high-precision die.
Background
The high-precision die is a die which is manufactured by using high-precision and high-efficiency processing methods and surface treatment technologies such as numerical control processing, grinding, electric discharge machining, laser cutting, laser welding, 3D printing and surface treatment in the process of manufacturing high-precision and high-quality parts and components, and has high required die precision. The application field of the high-precision die is very wide, and the high-precision die comprises a plurality of industries such as automobiles, aerospace, electronics, communication, medical treatment, optics, light industry and the like, is one of important tools essential in modern industrial production, and plays an important role in manufacturing high-precision and high-quality parts.
Chinese patent publication No.: CN111695858B discloses a full life cycle management system for a mold, at least comprising: the system comprises a die purchasing module, a die trouble shooting module and a die inventory evaluation management module; wherein: the mould inventory assessment management module evaluates the service life of the mould inventory by applying a mould safety inventory assessment method, obtains relevant characteristic data from the abnormality detection unit and the industrial sensor of the mould trouble shooting module, calculates by applying a mould safety inventory assessment method, outputs mould inventory safety precaution and optimal inventory replenishment quantity, and finally informs the optimal inventory replenishment quantity to the mould purchasing module. According to the technical scheme, the storage of the die cannot be optimized according to the corresponding use state of the die, so that the die is disordered to manage, and the problem of service life reduction of the precision die is solved.
Disclosure of Invention
Therefore, the invention provides an intelligent management system and method based on a high-precision die, which are used for overcoming the defect that in the prior art, the storage of the die cannot be optimized according to the corresponding use state of the die, so that the die is disordered to manage, and the service life of the die is further influenced.
In order to achieve the above object, in one aspect, the present invention provides an intelligent management system based on a high-precision mold, including:
the information acquisition module is used for acquiring information of the die and comprises an importing unit used for acquiring initial information of the die, a recording unit used for acquiring use information of the die and an image input unit used for acquiring images of the working surface of the die; the initial information comprises the name, the rated service life, the dimensional precision and the shape and position precision of the mold, and the use information comprises the ex-warehouse information, the warehouse-in information and the use time length information of the mold;
the information storage module is connected with the information acquisition module and comprises a plurality of sub databases used for respectively storing the information of the dies; the sub database stores corresponding spare part mould quantity information;
the information analysis module is respectively connected with the information acquisition module and the information storage module and is used for judging the grade and the corresponding storage form of the die according to the dimensional precision of the die and the shape and position precision of the die and judging whether the warehousing of the die meets the preset standard or not based on the die state evaluation value V.
Further, the information analysis module judges the grade of the die based on a size threshold interval in which the size precision of the die is located and a shape and position threshold interval in which the shape and position precision of the die is located, and the grade comprises a first grade, a second grade, a third grade, a fourth grade and a fifth grade.
Further, the information analysis module is provided with a plurality of storage forms for the die based on the grade of the die, including normal temperature storage, dry storage, clean storage, semi-vacuum storage and vacuum storage.
Further, the mold state evaluation value is setWherein->For the evaluation coefficient +.>S is the total area of the image of the working surface of the mold acquired by the image entry unit, sn is the area of the i-th dark point in the acquired image, i=1, 2.
Further, when the information analysis module judges that the warehousing of the die does not meet the preset standard based on the die state evaluation value V, the information analysis module secondarily judges whether the warehousing of the die meets the preset standard based on the area average value of the dark points, or reduces the rated service life of the die to a corresponding value, or sends out a prompt that the die is scrapped and the spare part die is called from a spare part warehouse.
Further, the information analysis module is provided with a plurality of adjustment modes aiming at the rated service life of the die, and the adjustment amplitude of each adjustment mode for the rated service life is different.
Further, the information analysis module secondarily judges that the warehouse-in of the die does not meet the preset standard based on the area average value of the dark points, and sends out a prompt that the die needs to be cleaned, or adjusts the grade of the die based on the difference value of the area average value and the second preset area average value.
Further, the information analysis module is provided with a plurality of adjustment modes aiming at the grade of the die based on the area mean value difference value and the grade of the die, and each adjustment mode is different in adjustment amplitude aiming at the grade of the die; and the area mean value difference value is a difference value between the area mean value and a second preset area mean value set in the information analysis module.
Further, the information analysis module is provided with a plurality of correction modes aiming at the number of the spare part molds in the sub-database, and the correction amplitude of each correction mode for the number of the spare part molds is different.
On the other hand, the invention also provides an intelligent management method based on the high-precision die, which comprises the following steps:
collecting initial information of a die and inputting corresponding sub-databases;
determining a grade of the die based on the initial information collected;
taking the mould and recording the ex-warehouse information of the mould;
finishing the use of the die;
collecting an image of the working surface of the die before warehousing;
obtaining a mold state evaluation value based on the acquired image;
judging whether the warehouse-in of the die meets a preset standard or not based on the die state evaluation value;
performing secondary judgment on the die which does not meet the preset standard, or correcting the rated service life of the die, or performing scrapping;
and warehousing the die meeting the preset standard.
Compared with the prior art, the system has the beneficial effects that the system comprises the information acquisition module which is composed of the importing unit, the recording unit and the image inputting unit, the information storage module which is used for storing single piece of die information, the information analysis module which is used for judging the grade and the corresponding storage form of the die and judging whether the warehousing of the die meets the preset standard or not based on the die state evaluation value V, so that the efficient management of the high-precision die is realized.
Further, the invention determines the grade of the corresponding mould based on the size and shape and position precision of the high-precision mould, grades the precision mould, and sets the corresponding storage form according to the corresponding grade, thereby optimizing the storage of the mould.
Furthermore, the invention sets the evaluation value of the mold state based on the information of the image of the mold working surface collected by the image input unit, thereby carrying out quantitative evaluation on the mold before warehousing after each use and facilitating efficient management of the mold.
Further, when the warehousing of the die is judged to be not in accordance with the preset standard based on the die state evaluation value V, whether the warehousing of the die is in accordance with the preset standard is judged secondarily based on the area average value of the dark points, or the rated service life of the die is reduced to a corresponding value, or a prompt that the die is scrapped and the spare part die is called from a spare part warehouse is sent. Therefore, the molds in different use states are evaluated, and efficient management is convenient to achieve.
Furthermore, when the die is worn, a plurality of adjustment modes aiming at the rated service life of the die are arranged, so that the recorded rated service life is accurately corrected, and the sudden failure of the die caused by overlarge deviation between the service life and the rated service life is avoided, and further the production is influenced.
Further, the invention judges that the warehouse-in of the mould does not meet the preset standard based on the area average value of the dark points for the second time, and sends out a prompt that the mould needs to be cleaned, or adjusts the grade of the mould based on the difference value of the area average value and the second preset area average value. Therefore, the state of the die is accurately judged, and efficient management is facilitated.
Furthermore, the invention is provided with a plurality of correction modes aiming at the quantity of the spare part dies in the sub database, thereby realizing the accurate correction of the die stock quantity, saving the input cost of the dies and avoiding the problem that the production is influenced by the shortage of the dies.
Further, the method of the invention collects initial information of the mold through S1; s2, judging the grade of the die; s3, taking the die and recording the ex-warehouse information of the die; s4, finishing the use of the die; s5, collecting images of the working surface of the die before warehousing; s6, obtaining a die state evaluation value; s7, judging whether the warehouse-in of the die meets a preset standard or not; s8, performing secondary judgment on the die which does not meet the preset standard, or correcting the rated life of the die, or performing scrapping; s9, putting the die meeting the preset standard in storage, and realizing efficient management of the high-precision die.
Drawings
FIG. 1 is a flow chart of an intelligent management system based on a high-precision die according to an embodiment of the invention;
FIG. 2 is a flow chart of an intelligent management method based on a high-precision die according to an embodiment of the invention;
FIG. 3 is a flowchart for determining whether the warehouse-in of the mold meets the preset standard according to the embodiment of the invention;
FIG. 4 is a flow chart of a mode of adjusting the rated life of a mold according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It should be noted that the data in this embodiment are obtained by comprehensively analyzing and evaluating the historical information collection and the corresponding historical operation results of the system three months before operation. According to the system, numerical values of various preset parameter standards for the system operation are comprehensively determined according to the storage of 13250 moulds accumulated in the first three months before the system operation. It will be understood by those skilled in the art that the determination manner of the system according to the present invention for the parameters mentioned above may be that the value with the highest duty ratio is selected as the preset standard parameter according to the data distribution, the weighted summation is used to take the obtained value as the preset standard parameter, each history data is substituted into a specific formula, and the value obtained by using the formula is taken as the preset standard parameter or other selection manner, as long as different specific conditions in the single item determination process can be definitely defined by the obtained value by the system according to the present invention are satisfied.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Referring to fig. 1, fig. 2, fig. 3, and fig. 4, which are flowcharts of an intelligent management system based on a high-precision mold according to an embodiment of the invention; a flow chart of an intelligent management method based on a high-precision die; and judging whether the warehouse-in of the die accords with a flow chart of a flow chart die rated life adjusting mode of a preset standard.
The intelligent management system based on the high-precision die provided by the embodiment of the invention comprises the following components:
the information acquisition module is used for acquiring information of the mold and comprises an importing unit used for acquiring initial information of the mold, wherein the initial information comprises a name, a rated service life, dimensional precision of the mold and shape and position precision of the mold, a recording unit used for acquiring use information of the mold, and the use information comprises ex-warehouse information, warehouse-in information and use time length information of the mold, and an image input unit used for acquiring images of the working surface of the mold;
the information storage module is connected with the information acquisition module and comprises a plurality of sub databases used for respectively storing the information of the dies; the sub database stores corresponding spare part mould quantity information;
the information analysis module is respectively connected with the information acquisition module and the information storage module and is used for judging the grade and the corresponding storage form of the die according to the dimensional precision of the die and the shape and position precision of the die and judging whether the warehousing of the die meets the preset standard or not based on the die state evaluation value V.
In particular, the image entry unit, such as an industrial camera, is not particularly limited, for acquiring images of the working surface of the mold.
Specifically, the information analysis module determines a grade of the mold based on a size threshold interval in which the dimensional accuracy of the mold is located and a shape and position threshold interval in which the shape and position accuracy is located, wherein,
the first grade is judged as the grade of the die is judged as one grade by the information analysis module; the first level judgment meets the condition that the dimensional accuracy of the die is larger than a first dimensional threshold value by 0.01mm and the shape and position accuracy is larger than a first shape and position threshold value by 0.015mm;
the second grade is judged as the grade of the die is judged as the second grade by the information analysis module; the second level judges that the dimensional accuracy of the die is smaller than or equal to a first dimensional threshold value of 0.01mm and larger than a second dimensional threshold value of 0.0075mm, and the shape and position accuracy is smaller than or equal to a first shape and position threshold value of 0.015mm and larger than a second shape and position threshold value of 0.012mm;
the third grade is judged as the information analysis module judges that the grade of the die is three-grade; the third level judges that the dimensional accuracy of the die is smaller than or equal to a second dimensional threshold value of 0.0075mm and larger than a third dimensional threshold value of 0.0050mm, and the shape and position accuracy is smaller than or equal to a second shape and position threshold value of 0.012mm and larger than a third shape and position threshold value of 0.008mm;
the fourth grade is judged as the information analysis module judges that the grade of the die is four; the fourth grade judgment meets the requirement that the dimensional accuracy of the die is smaller than or equal to a third dimensional threshold value of 0.0050mm and larger than a fourth dimensional threshold value of 0.0025mm, and the shape and position accuracy is smaller than or equal to a third shape and position threshold value of 0.008mm and larger than a fourth shape and position threshold value of 0.005mm;
the fifth grade is judged as the grade of the die judged by the information analysis module is five; the fifth level of judgment satisfies that the dimensional accuracy of the die is equal to or less than a fourth dimensional threshold value of 0.0025mm and the shape and position accuracy is equal to or less than a fourth shape and position threshold value of 0.005mm.
In particular, the information analysis module determines a storage form of the corresponding die based on the grade of the die,
if the grade of the die is one grade, judging that normal-temperature storage is used;
if the grade of the die is two grades, judging to use dry storage;
if the grade of the die is three, judging to use clean storage;
if the grade of the die is four, judging that the semi-vacuum storage is used;
and if the grade of the die is five, judging that vacuum storage is used.
Specifically, the mold state evaluation valueWherein->To evaluate the coefficient, setS is the total area of the image of the working surface of the mold acquired by the image entry unit, sn is the area of the i-th dark point in the acquired image, i=1, 2.
Specifically, a dark point is a point region in the acquired image where the brightness of the region is lower than the average brightness of the image.
Specifically, the average brightness of the image is calculated by dividing the image into pixels and then performing statistical calculation.
Specifically, the information analysis module determines whether the warehouse-in of the mold meets a preset standard based on the mold state evaluation value V, wherein,
the first warehouse-in judgment is that the information analysis module judges that the warehouse-in of the die meets the preset standard and warehouse-in according to the original storage form, and the recording unit collects the use information of the die and records the use information in the corresponding sub-database; the first warehouse-in judgment meets the condition that the die state evaluation value is smaller than 1.72% of a first preset die state evaluation value;
the second warehousing judgment is that the information analysis module judges that the warehousing of the die does not meet the preset standard, and judges whether the warehousing of the die meets the preset standard or not based on the area average value of the dark points; the second warehousing judgment meets the condition that the die state evaluation value is more than or equal to the first preset die state evaluation value and less than 5.52% of a second preset die state evaluation value;
the third warehouse-in judgment is that the information analysis module judges that the warehouse-in of the die does not meet the preset standard, the reason that the warehouse-in of the die does not meet the preset standard is that the working surface of the die is worn, and the information analysis module reduces the rated service life of the die to a corresponding value according to the difference value between the die state evaluation value and the second preset die state evaluation value; the third warehousing judgment meets the condition that the die state evaluation value is more than or equal to the second preset die state evaluation value and less than 17.30% of a third preset die state evaluation value;
the fourth warehouse-in judgment is that the information analysis module judges that the warehouse-in of the die does not meet the preset standard, judges that the die is scrapped, and sends out prompts of scrapping the die and calling the spare part die from a spare part warehouse; and the fourth warehousing judgment meets the condition that the die state evaluation value is greater than or equal to the third preset die state evaluation value.
Specifically, the information analysis module calculates the difference between the die state evaluation value and the second preset die state evaluation value under the third warehouse-in judgment, marks the difference as a life difference, and determines an adjustment mode for the rated life of the die according to the life difference, wherein,
the first adjusting mode is that the information analysis module uses a first preset adjusting coefficient of 0.95 to reduce the rated life to a corresponding value; the first adjustment mode satisfies that the lifetime difference is less than 2.35% of a first preset lifetime difference;
the second adjusting mode is that the information analysis module uses a second preset adjusting coefficient 0.89 to reduce the rated life to a corresponding value; the second adjustment mode meets the condition that the service life difference value is more than or equal to the first preset service life difference value and less than 6.89% of a second preset service life difference value;
the third adjusting mode is that the information analysis module uses a third preset adjusting coefficient of 0.82 to reduce the rated life to a corresponding value; the third adjustment mode satisfies that the lifetime difference is greater than or equal to the second preset lifetime difference.
Specifically, the information analysis module secondarily determines whether the warehousing of the mold meets a preset standard based on the area average value of the dark points under the second warehousing determination, wherein,
the first type of judgment is that the information analysis module judges that the storage of the die meets the preset standard and stores the die in the original storage form, and the recording unit collects the use information of the die and records the use information in the corresponding sub-database; the first type of judgment meets the condition that the area average value is smaller than 0.06mm of a first preset area average value;
the second type of judgment is that the information analysis module judges that the warehouse-in of the die does not meet the preset standard, and the reason that the warehouse-in of the die does not meet the preset standard is that dust collection exists on the working surface of the die, and the information analysis module sends a prompt that the die needs to be cleaned; the second type of judgment meets the condition that the area average value is larger than or equal to the first preset area average value and smaller than a second preset area average value by 0.19 mm;
the third type of judgment is that the information analysis module judges that the warehouse-in of the die does not meet the preset standard, and the reason that the warehouse-in of the die does not meet the preset standard is that the working surface of the die is rusted, and the information analysis module adjusts the grade of the die based on the difference value of the area average value and the second preset area average value; and the third type of judgment meets the condition that the area average value is larger than or equal to the second preset area average value.
Specifically, the information analysis module is provided with a plurality of adjustment modes aiming at the grade of the die based on the area mean value difference value and the grade of the die, and the adjustment modes comprise:
if the area mean value difference is smaller than the preset area mean value difference and the grade of the die is smaller than five grades, the grade of the die is increased by one grade;
if the area mean value difference value is larger than or equal to the preset area mean value difference value and the grade of the die is smaller than five grades, the grade of the die is increased by two grades;
the area mean value is 0.19mm different from the second preset area mean value,
and comparing the preset area mean value difference value by 0.05 mm.
Specifically, the information analysis module determines a correction mode for the number of spare part molds in the sub-database based on the frequency of picking the spare part molds under a fourth warehouse-in judgment, wherein,
the first correction mode is that the information analysis module uses a first preset correction coefficient 1.1 to increase the number of spare part dies in the sub-database to a corresponding value, and if the number is not the whole number, the information analysis module is rounded up; the first correction mode meets the condition that the frequency is smaller than a first preset frequency for 3 times/month;
the second correction mode is that the information analysis module uses a second preset correction coefficient 1.2 to increase the number of spare part dies in the sub-database to a corresponding value, and if the number is not the whole number, the information analysis module is rounded up; the second correction mode meets the condition that the frequency is larger than or equal to the first preset frequency and smaller than the second preset frequency for 5 times/month;
the third correction mode is that the information analysis module uses a third preset correction coefficient 1.3 to increase the number of spare part dies in the sub-database to a corresponding value, and if the number of spare part dies is not the whole number, the number is rounded up; the third correction mode satisfies that the frequency is greater than or equal to the second preset frequency.
The intelligent management method based on the high-precision die provided by the embodiment of the invention comprises the following steps:
step S1, initial information of a die is collected and a corresponding sub-database is input;
step S2, judging the grade of the die based on the collected initial information;
step S3, the die is called, and the information of the die in warehouse out is recorded;
s4, finishing the use of the die;
s5, acquiring an image of the working surface of the die before warehousing;
step S6, a mold state evaluation value is obtained based on the acquired image;
step S7, judging whether the warehouse-in of the die meets a preset standard or not based on the die state evaluation value;
s8, performing secondary judgment on the die which does not meet the preset standard, or correcting the rated life of the die, or performing scrapping;
and S9, warehousing the die meeting the preset standard.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An intelligent management system based on high accuracy mould, characterized by comprising:
the information acquisition module is used for acquiring information of the die and comprises an importing unit used for acquiring initial information of the die, a recording unit used for acquiring use information of the die and an image input unit used for acquiring images of the working surface of the die; the initial information comprises the name, the rated service life, the dimensional precision and the shape and position precision of the mold, and the use information comprises the ex-warehouse information, the warehouse-in information and the use time length information of the mold;
the information storage module is connected with the information acquisition module and comprises a plurality of sub databases used for respectively storing the information of the dies; the sub database stores corresponding spare part mould quantity information;
the information analysis module is respectively connected with the information acquisition module and the information storage module and is used for judging the grade and the corresponding storage form of the die according to the dimensional precision of the die and the shape and position precision of the die and judging whether the warehousing of the die meets the preset standard or not based on the die state evaluation value V;
setting a mold state evaluation valueWherein->For the evaluation coefficient +.>S is the total area of the image of the working surface of the mold acquired by the image entry unit, sn is the area of the i-th dark point in the acquired image, i=1, 2,..n, n is the total number of dark points in the acquired image;
and when the information analysis module judges that the warehousing of the die does not meet the preset standard based on the die state evaluation value V, secondarily judging whether the warehousing of the die meets the preset standard based on the area average value of the dark points, or reducing the rated life of the die to a corresponding value, or sending out a prompt that the die is scrapped and the spare part die is called from a spare part warehouse.
2. The intelligent management system based on high-precision dies according to claim 1, wherein the information analysis module determines the level of the dies based on a size threshold interval in which the dimensional precision of the dies is located and a shape threshold interval in which the shape precision is located, including a first level, a second level, a third level, a fourth level, and a fifth level.
3. The intelligent management system based on the high-precision die as claimed in claim 2, wherein the information analysis module is provided with a plurality of storage forms for the die based on the grade of the die, including normal temperature storage, dry storage, clean storage, semi-vacuum storage and vacuum storage.
4. The intelligent management system based on the high-precision die according to claim 1, wherein the information analysis module is provided with a plurality of adjustment modes aiming at the rated life of the die, and the adjustment amplitude of each adjustment mode is different for the rated life.
5. The intelligent management system based on the high-precision die as claimed in claim 4, wherein the information analysis module is used for sending a prompt that the die needs to be cleaned when the warehouse-in of the die is judged to be not in accordance with a preset standard based on the area average value of the dark point for the second time, or adjusting the grade of the die based on the difference value between the area average value and a second preset area average value.
6. The intelligent management system based on the high-precision die as claimed in claim 5, wherein the information analysis module is provided with a plurality of adjustment modes aiming at the die grade based on the area mean value difference value and the die grade, and each adjustment mode is different in adjustment amplitude aiming at the die grade; and the area mean value difference value is a difference value between the area mean value and a second preset area mean value set in the information analysis module.
7. The intelligent management system based on high-precision molds according to claim 6, wherein the information analysis module is provided with a plurality of correction modes aiming at the number of the spare part molds in the sub-database, and the correction amplitude of each correction mode is different for the number of the spare part molds.
8. A management method of the intelligent high-precision mold-based management system according to any one of claims 1 to 7, comprising:
collecting initial information of a die and inputting corresponding sub-databases;
determining a grade of the die based on the initial information collected;
taking the mould and recording the ex-warehouse information of the mould;
finishing the use of the die;
collecting an image of the working surface of the die before warehousing;
obtaining a mold state evaluation value based on the acquired image;
judging whether the warehouse-in of the die meets a preset standard or not based on the die state evaluation value;
performing secondary judgment on the die which does not meet the preset standard, or correcting the rated service life of the die, or performing scrapping;
and warehousing the die meeting the preset standard.
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