CN110851476B - Production equipment adjusting method, device, computer device and storage medium - Google Patents
Production equipment adjusting method, device, computer device and storage medium Download PDFInfo
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Abstract
The invention provides a production equipment adjusting method, a device, a computer device and a storage medium, wherein the production equipment adjusting method comprises the following steps: selecting data in a dispatching database according to the model of a product to be produced to set parameters of production equipment, wherein the dispatching database stores the corresponding relation between the model of the product and the parameters of the production equipment; collecting size data of a product in real time, comparing the size data of the product with size data in a product size database, and judging whether the size data of the product is normal or not; if the size data of the products are normal and the number of the products with the normal size data information exceeds a preset value, the production speed of production equipment is improved; and if the size data information of the product is abnormal, adjusting the production equipment parameters. The invention can lead the production equipment adjusting method to be carried out in a more scientific and efficient way without depending on manual experience.
Description
Technical Field
The invention relates to the field of production equipment adjustment, in particular to a production equipment adjustment method, a production equipment adjustment device, a computer device and a computer storage medium.
Background
At present, the production of cutter products is finished by adopting precision machining equipment, and the production parameters of the precision machining equipment are firstly debugged before the production of the products. The traditional debugging mode is to judge whether the setting of the equipment parameters meets the product size requirement or not through checking the cutter size. When the cutter size is checked, a preset number of cutter products need to be stopped and taken out, the cutter size is checked by using a detection device, the preset number is about 10-20 according to different cutter size types determined as required, and when different types of cutter products are produced, different grinding wheel brands and grinding wheel granularity are selected by production devices, wherein the matching relation between the cutter types and the grinding wheel brands and the grinding wheel granularity is accumulated and fuelled completely by virtue of experience of processing personnel. Second, production parameters are not changed once they are set in the conventional production process of the tool product, and even when the processing quality of the product is stable, preset production parameters related to the production speed are not changed, for example, parameters of equipment such as the rotation speeds of a main shaft and a workpiece shaft, and the production speed is reduced when the production speed is unchanged. Again, in conventional production processes, if the machining component wheel wears out resulting in a machining size failure, it is necessary to manually adjust the workpiece feed rate.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method and apparatus for adjusting a production facility, a computer apparatus and a computer storage medium, in which the method for adjusting a production facility is performed in a more scientific and efficient manner, is not dependent on manual experience, and can increase the production speed on the premise of stable quality of the produced product.
A first aspect of the present application provides a production facility adjustment method, the method comprising:
selecting data in a dispatching database according to the model of a product to be produced to set parameters of production equipment, wherein the dispatching database stores the corresponding relation between the model of the product and the parameters of the production equipment;
collecting size data of a product in real time, comparing the size data of the product with size data in a product size database, and judging whether the size data of the product is normal or not;
if the size data of the products are normal and the number of the products with the normal size data information exceeds a preset value, the production speed of production equipment is improved;
and if the size data information of the product is abnormal, adjusting the production equipment parameters.
Preferably, the method further comprises selecting the corresponding processing consumable and parameters of the processing consumable from a production material database according to the model of the product to be produced.
Preferably, the processing consumable is a grinding wheel;
the parameters of the processing consumable comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and granularity of the grinding wheel.
Preferably, the step of establishing the tuning database includes:
obtaining production equipment parameters adopted when qualified products are produced;
substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis, and obtaining the production equipment parameters with minimum size out of tolerance.
Preferably, the method for collecting the size data of the product in real time, comparing the size data of the product with the size data in the product size database, and judging whether the size data of the product is normal comprises the following steps:
acquiring image information of a product on line through a camera device;
extracting features of the image information by using an image recognition technology to obtain product size data;
comparing the size data with the normal size data of the product in a database;
and if the size data is not consistent with the normal size data in the database, judging that the size data of the product is abnormal.
Preferably, the method of increasing the production speed of the production apparatus includes: one or more of increasing the feed rate of the product to be produced and increasing the rotational speed of the grinding wheel.
Preferably, the method for adjusting the production equipment parameters comprises the following steps:
substituting the first production equipment parameter, the second production equipment parameter and the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting parameter values for compensating the production equipment parameters through fitting analysis;
and setting the production equipment by using the parameter values.
A second aspect of the present application provides a production facility adjustment apparatus, the apparatus comprising:
the machine adjusting module is used for selecting data in a machine adjusting database according to the model of the product to be produced to set the parameters of the production equipment, and the corresponding relation between the model of the product and the parameters of the production equipment is stored in the machine adjusting database;
the judging module is used for collecting the size data of the product in real time, comparing the size data of the product with the size data in the product size database, and judging whether the size data of the product is normal or not;
the first execution module is used for improving the production speed of the production equipment if the size data of the products are normal and the number of the products with the normal size data information exceeds a preset value;
and the second execution module is used for adjusting the parameters of the production equipment when the size data information of the product is abnormal.
A third aspect of the present application provides a computer apparatus comprising a processor for implementing a production facility adjustment method as described above when executing a computer program stored in a memory.
A fourth aspect of the present application provides a computer storage medium having stored thereon a computer program which, when executed by a processor, implements a production facility adjustment method as described above.
The production equipment adjusting method solves the problem that the production equipment depends on manual experience to debug the equipment in the debugging stage, adopts an intelligent control method to judge the production condition of the equipment, and improves the production efficiency.
Drawings
Fig. 1 is a schematic diagram of an application environment of a method for adjusting production equipment according to an embodiment of the invention.
Fig. 2 is a flowchart of a production facility adjusting method according to a second embodiment of the present invention.
Fig. 3 is a schematic structural view of a production facility adjusting device according to a third embodiment of the present invention.
Fig. 4 is a schematic diagram of a computer device according to a fourth embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, and the described embodiments are merely some, rather than all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Example 1
Fig. 1 is a schematic diagram of an application environment of a method for adjusting production equipment according to an embodiment of the invention.
The production facility adjustment method of the present invention is applied to a computer device 1, and the computer device 1 and at least one production facility 2 establish a communication connection through a network. In a further embodiment of the invention, the computer device 1 is in communication with a server 3, the server 3 being adapted to store a call-in database and a production material database. The network may be a wired network or a wireless network, such as radio, wireless fidelity (Wireless Fidelity, WIFI), cellular, satellite, broadcast, etc.
The computer apparatus 1 may be an electronic device, such as a personal computer, a server, etc., in which production device adjustment software is installed, wherein the server may be a single server, a server cluster, a cloud server, etc.
The production equipment 2 is production equipment with production and processing functions, including but not limited to high-precision numerical control machine tools and grinding and processing equipment.
The server 3 is a server having a storage function, and the cloud server 3 may be a single server, a server cluster, or a cloud server.
Example two
Fig. 2 is a flowchart of a method for adjusting production equipment according to a second embodiment of the present invention. The order of the steps in the flow diagrams may be changed, and some steps may be omitted, according to different needs.
And S1, selecting data in a machine-adjusting database according to the model of the product to be produced to set the parameters of the production equipment, wherein the machine-adjusting database stores the corresponding relation between the model of the product and the parameters of the production equipment.
In an embodiment of the present invention, the production facility parameters may include: the rotation speed of the grinding wheel spindle, the rotation speed of the workpiece shaft, the supply speed of the workpiece shaft, and the like.
The step of creating the tuning database may include: obtaining production equipment parameters adopted when qualified products are produced; substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis, and obtaining the production equipment parameters with minimum size out of tolerance.
In yet another embodiment of the present invention, the method further comprises selecting a corresponding processing consumable and parameters of the processing consumable from a production material database according to the model of the product to be produced. Wherein the processing consumable is a grinding wheel; the parameters of the processing consumable comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and granularity of the grinding wheel.
For example, the product to be produced is a cutter, the cutter is produced in the production equipment 2, before production is started, the computer device 1 receives the model of the cutter, searches the production equipment parameters corresponding to the model of the cutter in the dispatching database according to the model, and the production equipment parameters comprise the rotating speed of the grinding wheel spindle, the rotating speed of the workpiece shaft, the feeding speed of the workpiece shaft and the like, and sends the production equipment parameters to the production equipment 2. The computer device 1 can also look up in the production material database the type of grinding wheel, the brand of grinding wheel and the granularity of the grinding wheel required for producing the type of tool according to the type of the tool.
And S2, collecting size data of the product in real time, comparing the size data of the product with size data in a product size database, and judging whether the size data of the product is normal or not.
In an embodiment of the present invention, the method for collecting size data information of a product in real time, comparing the size data information of the product with size data information in a product size data information database, and determining whether the size data information of the product is normal may include:
acquiring image information of a product on line through a camera device;
extracting features of the image information by using an image recognition technology to obtain product size data;
comparing the size data with the normal size data of the product in a database;
and if the size data is not consistent with the normal size data in the database, judging that the size data of the product is abnormal.
The size data may include the apparent size of the product, the shape of the product, and location information.
In an embodiment of the present invention, image information of a product is obtained by a high-definition industrial CCD camera disposed inside a production device, and feature information of a product size is extracted from the obtained image information of the product by using an image recognition technology, where the image recognition method includes any one of an image recognition method based on a neural network, an image recognition method based on a wavelet moment, and an image recognition method based on a fractal feature, and the image recognition method is in the prior art and will not be described herein. The product processing data information extracted by the image recognition technology comprises size information of the product, such as R angle, helix angle, core diameter and the like of the product, and shape and position information of the product, such as eccentricity, chip flute distance and the like. Comparing the product processing data information with the normal processing data information of the product in a database; and if the processing data information is not consistent with the normal processing data information in the database, judging that the processing data information of the product is abnormal.
And step S3, if the size data of the products are normal and the number of the products with the normal size data information exceeds a preset value, the production speed of the production equipment is improved.
In one embodiment of the invention, drawing a tube drawing of the obtained size data of the product according to the type of the size data, counting the number of the product in the range of the tube drawing, and if the counted number exceeds a preset value, accelerating the production speed of production equipment, wherein the method for accelerating the production speed comprises the steps of increasing the rotation speed of a grinding wheel and/or increasing the feeding amount of a workpiece shaft.
And S4, if the size data information of the product is abnormal, adjusting production equipment parameters.
In one embodiment of the present invention, the method for adjusting parameters of a production facility may include:
substituting the first production equipment parameter, the second production equipment parameter and the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting parameter values for compensating the production equipment parameters through fitting analysis;
and setting the production equipment by using the parameter values.
For example, during the production of the cutter, abrasion of the grinding wheel occurs along with the increase of the data of the cutter, when the abrasion of the grinding wheel exceeds a preset value, the size data of the product produced by the equipment is abnormal, and in this case, the size of the produced product can be compensated by adjusting the parameters of the production equipment. The compensation of the parameters of the production equipment is completed by the following steps: any two parameters are selected among the production equipment parameters, such as the rotational speed of the grinding wheel spindle and the rotational speed of the workpiece spindle. And (3) acquiring the rotating speed of the grinding wheel spindle and the rotating speed of the workpiece shaft under the condition that the produced product is qualified, drawing a three-dimensional Gaussian surface by taking the rotating speed of the grinding wheel spindle and the rotating speed of the workpiece shaft as two-dimensional planes and taking the tolerance range of the product as an ordinate, and searching the rotating speed of the grinding wheel spindle and the rotating speed of the workpiece shaft within the tolerance range on the Gaussian surface. The same method is used for drawing a three-dimensional Gaussian surface according to the rotating speed of the workpiece shaft, the feeding speed of the workpiece shaft and the tolerance range of products, and searching the rotating speed of the workpiece shaft and the feeding speed of the workpiece shaft within the tolerance range on the Gaussian surface. And storing the rotation speed of the grinding wheel spindle, the rotation speed of the workpiece shaft and the supply speed of the workpiece shaft corresponding to the product.
In other embodiments of the invention, the method further comprises: and establishing a health database of the production equipment, comparing the health data of the production equipment with the normal data in the health database, and judging whether the production equipment is normal or not.
The health data of the production facility may include: one or more of spindle vibration frequency, spindle rotation speed, brand of grinding wheel, model of grinding wheel, service life of grinding wheel, and model of grinding wheel corresponding to production of product.
The component of the production apparatus may be a grinding wheel.
The method for establishing the health database of the production equipment and comparing the health data of the production equipment with the normal data in the health database to judge whether the production equipment is normal may include:
receiving health data of production equipment acquired by a sensor in real time;
comparing the health data of the production equipment with the normal data in the health database when the product is produced;
and if the health data of the production equipment exceeds the range of the normal data in the health database when the product is produced, judging that the production equipment is abnormal.
The method for receiving health data of production equipment acquired by a sensor in real time can comprise the following steps:
the temperature inside the production equipment is obtained from the temperature sensor, the abrasion degree of the grinding wheel in the production equipment is obtained from the position sensor, and at least one of the speeds of the rotating shaft in the production equipment is obtained from the speed sensor.
In one embodiment of the invention, temperature information inside the production equipment acquired by the temperature sensor is received, the received temperature information is compared with a preset value, and whether the received temperature information is in a normal range is judged.
In still another embodiment of the present invention, thickness information of a grinding wheel acquired by a position sensor is received, the received thickness information is compared with original information of the grinding wheel, an abrasion loss of the grinding wheel is calculated, the abrasion loss is compared with a preset value, and whether the received thickness information of the grinding wheel is within a normal range is determined.
If the production equipment is abnormal, processing the abnormality according to a preset mode.
In one embodiment, if the temperature in the production equipment exceeds a preset value, an alarm is sent out according to a preset mode, wherein the preset mode comprises sending the alarm to a preset user terminal in a mail and short message mode.
In another embodiment of the present invention, if the abrasion loss of the grinding wheel in the production equipment exceeds a preset value, the preset user terminal sends an alarm in a mail or short message mode.
The foregoing fig. 2 describes the production equipment adjusting method of the present invention in detail, and the following describes, with reference to fig. 3 to 4, functional modules of a software device implementing the production equipment adjusting method and a hardware device architecture implementing the production equipment adjusting method.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
Example III
FIG. 3 is a block diagram of a preferred embodiment of the apparatus for adjusting a manufacturing facility according to the present invention.
In some embodiments, the production facility adjustment apparatus 10 operates in a computer device. The computer device is connected to a plurality of user terminals via a network. The production facility adjusting device 10 may comprise a plurality of functional modules consisting of program code segments. Program code for each program segment in the production equipment tuning device 10 may be stored in a memory of a computer device and executed by the at least one processor to implement production equipment tuning functions.
In this embodiment, the production facility adjusting apparatus 10 may be divided into a plurality of functional modules according to the functions performed by the same. Referring to fig. 3, the functional module may include: the system comprises a dispatching module 101, a judging module 102, a first executing module 103 and a second executing module 104. The module referred to in the present invention refers to a series of computer program segments capable of being executed by at least one processor and of performing a fixed function, stored in a memory. In the present embodiment, the functions of the respective modules will be described in detail in the following embodiments.
The dispatching module 101 is configured to select data in a dispatching database according to a model of a product to be produced, and set parameters of production equipment, where the dispatching database stores a correspondence between the model of the product and parameters of the production equipment.
In an embodiment of the present invention, the production facility parameters may include: the rotation speed of the grinding wheel spindle, the rotation speed of the workpiece shaft, the supply speed of the workpiece shaft, and the like.
The step of creating the tuning database may include: obtaining production equipment parameters adopted when qualified products are produced; substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis, and obtaining the production equipment parameters with minimum size out of tolerance.
In yet another embodiment of the present invention, the method further comprises selecting a corresponding processing consumable and parameters of the processing consumable from a production material database according to the model of the product to be produced. Wherein the processing consumable is a grinding wheel; the parameters of the processing consumable comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and granularity of the grinding wheel.
For example, the product to be produced is a cutter, the cutter is produced in the production device 2, before production is started, the machine adjustment module 101 receives the model of the cutter, searches the machine adjustment database for production device parameters corresponding to the model of the cutter according to the model, and the production device parameters include the rotation speed of the grinding wheel spindle, the rotation speed of the workpiece shaft, the feeding speed of the workpiece shaft and the like, and sends the production device parameters to the production device 2. The machine adjustment module 101 can also search the model of the grinding wheel, the brand of the grinding wheel and the granularity of the grinding wheel required for producing the cutter with the model in a production material database according to the model of the cutter.
And the judging module 102 is used for collecting the size data of the product in real time, comparing the size data of the product with the size data in the product size database, and judging whether the size data of the product is normal or not.
In an embodiment of the present invention, the method for collecting size data information of a product in real time, comparing the size data information of the product with size data information in a product size data information database, and determining whether the size data information of the product is normal may include:
acquiring image information of a product on line through a camera device;
extracting features of the image information by using an image recognition technology to obtain product size data;
comparing the size data with the normal size data of the product in a database;
and if the size data is not consistent with the normal size data in the database, judging that the size data of the product is abnormal.
The size data may include the apparent size of the product, the shape of the product, and location information.
In an embodiment of the present invention, image information of a product is obtained by a high-definition industrial CCD camera disposed inside a production device, and feature information of a product size is extracted from the obtained image information of the product by using an image recognition technology, where the image recognition method includes any one of an image recognition method based on a neural network, an image recognition method based on a wavelet moment, and an image recognition method based on a fractal feature, and the image recognition method is in the prior art and will not be described herein. The product processing data information extracted by the image recognition technology comprises size information of the product, such as R angle, helix angle, core diameter and the like of the product, and shape and position information of the product, such as eccentricity, chip flute distance and the like. Comparing the product processing data information with the normal processing data information of the product in a database; and if the processing data information is not consistent with the normal processing data information in the database, judging that the processing data information of the product is abnormal.
The first execution module 103 is configured to increase the production speed of the production device if the size data of the product is normal and the number of products with normal size data information exceeds a preset value.
In one embodiment of the invention, drawing a tube drawing of the obtained size data of the product according to the type of the size data, counting the number of the product in the range of the tube drawing, and if the counted number exceeds a preset value, accelerating the production speed of production equipment, wherein the method for accelerating the production speed comprises the steps of increasing the rotation speed of a grinding wheel and/or increasing the feeding amount of a workpiece shaft.
And the second execution module 104 is used for adjusting production equipment parameters when the size data information of the product is abnormal.
In one embodiment of the present invention, the method for adjusting parameters of a production facility may include:
substituting the first production equipment parameter, the second production equipment parameter and the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting parameter values for compensating the production equipment parameters through fitting analysis;
and setting the production equipment by using the parameter values.
For example, during the production of the cutter, abrasion of the grinding wheel occurs along with the increase of the data of the cutter, when the abrasion of the grinding wheel exceeds a preset value, the size data of the product produced by the equipment is abnormal, and in this case, the size of the produced product can be compensated by adjusting the parameters of the production equipment. The compensation of the parameters of the production equipment is completed by the following steps: any two parameters are selected among the production equipment parameters, such as the rotational speed of the grinding wheel spindle and the rotational speed of the workpiece spindle. And (3) acquiring the rotating speed of the grinding wheel spindle and the rotating speed of the workpiece shaft under the condition that the produced product is qualified, drawing a three-dimensional Gaussian surface by taking the rotating speed of the grinding wheel spindle and the rotating speed of the workpiece shaft as two-dimensional planes and taking the tolerance range of the product as an ordinate, and searching the rotating speed of the grinding wheel spindle and the rotating speed of the workpiece shaft within the tolerance range on the Gaussian surface. The same method is used for drawing a three-dimensional Gaussian surface according to the rotating speed of the workpiece shaft, the feeding speed of the workpiece shaft and the tolerance range of products, and searching the rotating speed of the workpiece shaft and the feeding speed of the workpiece shaft within the tolerance range on the Gaussian surface. And storing the rotation speed of the grinding wheel spindle, the rotation speed of the workpiece shaft and the supply speed of the workpiece shaft corresponding to the product.
In other embodiments of the invention, the method further comprises: and establishing a health database of the production equipment, comparing the health data of the production equipment with the normal data in the health database, and judging whether the production equipment is normal or not.
The health data of the production facility may include: one or more of spindle vibration frequency, spindle rotation speed, brand of grinding wheel, model of grinding wheel, service life of grinding wheel, and model of grinding wheel corresponding to production of product.
The component of the production apparatus may be a grinding wheel.
The method for establishing the health database of the production equipment and comparing the health data of the production equipment with the normal data in the health database to judge whether the production equipment is normal may include:
receiving health data of production equipment acquired by a sensor in real time;
comparing the health data of the production equipment with the normal data in the health database when the product is produced;
and if the health data of the production equipment exceeds the range of the normal data in the health database when the product is produced, judging that the production equipment is abnormal.
The method for receiving health data of production equipment acquired by a sensor in real time can comprise the following steps:
the temperature inside the production equipment is obtained from the temperature sensor, the abrasion degree of the grinding wheel in the production equipment is obtained from the position sensor, and at least one of the speeds of the rotating shaft in the production equipment is obtained from the speed sensor.
In one embodiment of the invention, temperature information inside the production equipment acquired by the temperature sensor is received, the received temperature information is compared with a preset value, and whether the received temperature information is in a normal range is judged.
In still another embodiment of the present invention, thickness information of a grinding wheel acquired by a position sensor is received, the received thickness information is compared with original information of the grinding wheel, an abrasion loss of the grinding wheel is calculated, the abrasion loss is compared with a preset value, and whether the received thickness information of the grinding wheel is within a normal range is determined.
If the production equipment is abnormal, processing the abnormality according to a preset mode.
In one embodiment, if the temperature in the production equipment exceeds a preset value, an alarm is sent out according to a preset mode, wherein the preset mode comprises sending the alarm to a preset user terminal in a mail and short message mode.
In another embodiment of the present invention, if the abrasion loss of the grinding wheel in the production equipment exceeds a preset value, the preset user terminal sends an alarm in a mail or short message mode.
Example IV
FIG. 4 is a schematic diagram of a computer device according to a preferred embodiment of the invention.
The computer device 1 comprises a memory 20, a processor 30 and a computer program 40, such as a production facility adjustment program, stored in the memory 20 and executable on the processor 30. The steps of the above-described embodiment of the production equipment adjusting method, such as steps S1 to S4 shown in fig. 2, are implemented when the processor 30 executes the computer program 40. Alternatively, the processor 30, when executing the computer program 40, performs the functions of the modules/units of the production equipment tuning device embodiments described above, such as units 101-104 in fig. 3.
Illustratively, the computer program 40 may be partitioned into one or more modules/units that are stored in the memory 20 and executed by the processor 30 to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program 40 in the computer device 1. For example, the computer program 40 may be divided into a tuning module 101, a judging module 102, a first executing module 103, and a second executing module 104 in fig. 3. For specific functions of each module, see embodiment three.
The computer device 1 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. It will be appreciated by a person skilled in the art that the schematic diagram is only an example of the computer apparatus 1 and does not constitute a limitation of the computer apparatus 1, and may comprise more or less components than shown, or may combine certain components, or different components, e.g. the computer apparatus 1 may further comprise input and output devices, network access devices, buses, etc.
The processor 30 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor 30 may be any conventional processor or the like, the processor 30 being the control center of the computer device 1, the various interfaces and lines being used to connect the various parts of the overall computer device 1.
The memory 20 may be used to store the computer program 40 and/or modules/units, and the processor 30 may perform various functions of the computer device 1 by executing or executing the computer program and/or modules/units stored in the memory 20, and invoking data stored in the memory 20. The memory 20 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the computer apparatus 1 (such as audio data, phonebook, etc.), and the like. In addition, the memory 20 may include high-speed random access memory, and may also include nonvolatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid state storage device.
The modules/units integrated in the computer device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
In the several embodiments provided herein, it should be understood that the disclosed computer apparatus and method may be implemented in other ways. For example, the above-described embodiments of the computer apparatus are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be other manners of division when actually implemented.
In addition, each functional unit in the embodiments of the present invention may be integrated in the same processing unit, or each unit may exist alone physically, or two or more units may be integrated in the same unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or computer means recited in the computer means claim may also be implemented by means of software or hardware by means of the same unit or computer means. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A method of manufacturing facility adjustment, the method comprising:
selecting data in a dispatching database according to the model of a product to be produced to set parameters of production equipment, wherein the dispatching database stores the corresponding relation between the model of the product and the parameters of the production equipment;
collecting size data of a product in real time, comparing the size data of the product with size data in a product size database, and judging whether the size data of the product is normal or not;
if the size data of the products are normal and the number of the products with the normal size data information exceeds a preset value, the production speed of the production equipment is increased, and the method for increasing the production speed of the production equipment comprises the following steps: one or more of increasing the feed speed of the product to be produced and increasing the rotational speed of the grinding wheel;
if the size data information of the product is abnormal, adjusting production equipment parameters, including:
substituting the first production equipment parameter, the second production equipment parameter and the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting parameter values for compensating the production equipment parameters through fitting analysis;
and setting the production equipment by using the parameter values.
2. The production facility adjustment method of claim 1, further comprising selecting a corresponding processing consumable and parameters of the processing consumable from a production material database according to a model of a product to be produced.
3. The production facility adjustment method of claim 2, wherein the processing consumable is a grinding wheel;
the parameters of the processing consumable comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and granularity of the grinding wheel.
4. The production facility adjustment method of claim 1, wherein the creating step of the tuning database comprises:
obtaining production equipment parameters adopted when qualified products are produced;
substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis, and obtaining the production equipment parameters with minimum size out of tolerance.
5. The production facility adjustment method of claim 1, wherein the method of collecting size data of a product in real time, comparing the size data of the product with size data in a product size database, and judging whether the size data of the product is normal comprises:
acquiring image information of a product on line through a camera device;
extracting features of the image information by using an image recognition technology to obtain product size data;
comparing the size data with the normal size data of the product in a database;
and if the size data is not consistent with the normal size data in the database, judging that the size data of the product is abnormal.
6. A production facility adjustment apparatus, the apparatus comprising:
the machine adjusting module is used for selecting data in a machine adjusting database according to the model of the product to be produced to set the parameters of the production equipment, and the corresponding relation between the model of the product and the parameters of the production equipment is stored in the machine adjusting database;
the judging module is used for collecting the size data of the product in real time, comparing the size data of the product with the size data in the product size database, and judging whether the size data of the product is normal or not;
the first execution module is configured to increase the production speed of the production device if the size data of the product is normal and the number of products with normal size data information exceeds a preset value, where the method for increasing the production speed of the production device includes: one or more of increasing the feed speed of the product to be produced and increasing the rotational speed of the grinding wheel;
the second execution module is used for adjusting production equipment parameters when the size data information of the product is abnormal, and comprises the following steps:
substituting the first production equipment parameter, the second production equipment parameter and the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting parameter values for compensating the production equipment parameters through fitting analysis;
and setting the production equipment by using the parameter values.
7. A computer apparatus, characterized in that: the computer arrangement comprises a processor for implementing the production equipment adjustment method according to any one of claims 1-5 when executing a computer program stored in a memory.
8. A computer storage medium having a computer program stored thereon, characterized by: the computer program, when executed by a processor, implements the production equipment adjustment method of any one of claims 1-5.
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| CN111883458A (en) * | 2020-07-22 | 2020-11-03 | 昆山泽旭自动化科技有限公司 | Production line parameter adjusting device, production line parameter adjusting method and storage medium |
| CN112571166A (en) * | 2020-12-03 | 2021-03-30 | 广东韶钢松山股份有限公司 | Grinding system and grinding method of roll collar |
| CN113436182A (en) * | 2021-07-08 | 2021-09-24 | 揭阳市汇宝昌电器有限公司 | Rapid visual detection and identification method for end cover assembly quality of miniature direct current motor |
| CN113568926B (en) * | 2021-09-24 | 2022-01-18 | 江西黎为科技有限公司 | Gold plating method, system, readable storage medium and computer equipment |
| CN115049374B (en) * | 2022-08-17 | 2022-11-29 | 四川省郫县豆瓣股份有限公司 | Data processing method and device for process equipment |
| CN117348572B (en) * | 2023-11-17 | 2024-04-05 | 成都安美勤信息技术股份有限公司 | Exception protection method and system based on industrial Internet of things |
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