CN110851476A - Production equipment adjusting method and device, computer device and storage medium - Google Patents

Production equipment adjusting method and device, computer device and storage medium Download PDF

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CN110851476A
CN110851476A CN201910969589.9A CN201910969589A CN110851476A CN 110851476 A CN110851476 A CN 110851476A CN 201910969589 A CN201910969589 A CN 201910969589A CN 110851476 A CN110851476 A CN 110851476A
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CN110851476B (en
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徐龙
程义群
桂绍文
尹哲
蒋益民
李军旗
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Shenzhen Fulian Jingjiang Technology Co ltd
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Ji Zhun Precision Industry Hui Zhou Co ltd
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Abstract

The invention provides a production equipment adjusting method, a production equipment adjusting device, a computer device and a storage medium, wherein the production equipment adjusting method comprises the following steps: selecting data in a tuning database according to the model of a product to be produced to set parameters of the production equipment, wherein the tuning 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, improving the production speed of production equipment; and if the size data information of the product is abnormal, adjusting the parameters of the production equipment. The invention can lead the adjusting method of the production equipment to be carried out in a more scientific and efficient way without depending on manual experience.

Description

Production equipment adjusting method and device, computer device and storage medium
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 mostly finished by adopting precision machining equipment, and the production parameters of the precision machining equipment are firstly debugged before the products are produced. The traditional debugging method is to check the size of the cutter to judge whether the setting of the equipment parameters meets the product size requirement. When the size of the cutter is checked, the machine is stopped to take out a preset number of cutter products, the size of the cutter is checked by using detection equipment, the preset number is about 10-20 according to different cutter size types determined according to needs, and when the cutter products of different models are produced, different grinding wheel brands and grinding wheel granularities can be selected by production equipment, wherein the matching relation among the cutter brands, the grinding wheel brands and the grinding wheel granularities is accumulated and groped slowly completely by means of experience of processing personnel. Secondly, in the conventional production process of the cutter product, the production parameters are not changed once being set, and even when the processing quality of the product is stable, the preset production parameters related to the production speed are not changed, for example, the parameters of the equipment such as the rotating speed of the main shaft and the workpiece shaft, and the production speed of the product is reduced due to the unchanged production speed. Thirdly, in the traditional production process, if the grinding wheel of the processing part is abraded to cause unqualified processing size, the workpiece feeding amount needs to be adjusted manually.
Disclosure of Invention
In view of the above, there is a need for a method and an apparatus for adjusting production equipment, a computer apparatus, and a computer storage medium, wherein the method for adjusting production equipment is performed in a more scientific and efficient manner, does not rely on manual experience, and can increase the production speed on the premise of stable quality of the produced products.
A first aspect of the present application provides a production equipment adjustment method, the method comprising:
selecting data in a tuning database according to the model of a product to be produced to set parameters of the production equipment, wherein the tuning 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, improving the production speed of production equipment;
and if the size data information of the product is abnormal, adjusting the parameters of the production equipment.
Preferably, the method further comprises selecting a corresponding processing consumable and a parameter of the processing consumable from a production material database according to a model of a product to be produced.
Preferably, the processing consumable is a grinding wheel;
the parameters of the processing consumables comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and the granularity of the grinding wheel.
Preferably, the step of establishing the tuning database includes:
obtaining production equipment parameters adopted when qualified products are produced;
and substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis to obtain the production equipment parameters with the 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;
performing feature extraction on 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 for increasing the production speed of the production equipment comprises the following steps: increasing one or more of the feed speed of the product to be produced and the rotational speed of the grinding wheel.
Preferably, the method for adjusting the parameters of the production equipment comprises the following steps:
substituting the first production equipment parameter, the second production equipment parameter, the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting a parameter value for compensating the production equipment parameter through fitting analysis;
and setting the production equipment by using the parameter value.
A second aspect of the present application provides a production equipment adjustment device, the device comprising:
the system comprises a debugging module, a data processing module and a data processing module, wherein the debugging module is used for selecting data in a debugging database according to the model of a product to be produced to set parameters of production equipment, and the debugging database stores the corresponding relation between the model of the product and the parameters of the production equipment;
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 a product size database and judging whether the size data of the product is normal or not;
the first execution module is used for increasing the production speed of the production equipment when 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 application provides a computer arrangement comprising a processor for implementing the production device 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 the production equipment 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 architecture of a method for adjusting production equipment according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for adjusting production equipment according to a second embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an adjusting device of a production apparatus 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 objects, features and advantages of the present invention can be more clearly understood, a detailed description of the present invention will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present invention, and the described embodiments are merely a subset of the embodiments of the present invention, rather than a complete embodiment. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present 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 in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Example one
Fig. 1 is a schematic diagram of an application environment architecture of a method for adjusting production equipment according to an embodiment of the present invention.
The production equipment adjusting method is applied to a computer device 1, and the computer device 1 and at least one production equipment 2 establish communication connection through a network. In another embodiment of the present invention, the computer device 1 is communicatively connected to a server 3, and the server 3 is used for storing a calling database and a production material database. The network may be a wired network or a Wireless network, such as radio, Wireless Fidelity (WIFI), cellular, satellite, broadcast, etc.
The computer device 1 may be an electronic device installed with production equipment adjustment software, such as a personal computer, a server, and the like, wherein the server may be a single server, a server cluster, a cloud server, or the like.
The production equipment 2 is production equipment with production and processing functions, and includes but is not limited to high-precision numerical control machine tools and grinding and processing equipment.
The server 3 is a server with 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 flow chart of a method for adjusting production equipment according to a second embodiment of the present invention. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs.
And step S1, selecting data in a tuning database according to the model of the product to be produced to set parameters of the production equipment, wherein the tuning database stores the corresponding relation between the model of the product and the parameters of the production equipment.
In one embodiment of the present invention, the production equipment parameters may include: the rotational speed of the grinding wheel spindle, the rotational speed of the workpiece shaft, the feed rate of the workpiece shaft, and the like.
The step of establishing the tuning database may include: obtaining production equipment parameters adopted when qualified products are produced; and substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis to obtain the production equipment parameters with the minimum size out-of-tolerance.
In yet another embodiment of the present invention, the method further includes selecting a corresponding processing consumable part and a parameter of the processing consumable part from a production material database according to a model of a product to be produced. Wherein the processing consumable is a grinding wheel; the parameters of the processing consumables comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and the granularity of the grinding wheel.
For example, the product to be produced is a tool, the tool is produced in the production equipment 2, before production is started, the computer device 1 receives the model of the tool, searches production equipment parameters corresponding to the model of the tool in the tuning database according to the model, the production equipment parameters 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, and sends the production equipment parameters to the production equipment 2. The computer device 1 may further search, in the production material database, a model of a grinding wheel, a brand of the grinding wheel, and a granularity of the grinding wheel required for producing the cutter of the model according to the model of the cutter.
And step S2, 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, a 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;
performing feature extraction on 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 an apparent size of the product, a shape of the product, and position information.
In an embodiment of the present invention, image information of a product is acquired by a high-definition industrial CCD camera disposed inside a production device, and feature information of a product size is extracted from the acquired 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 the prior art and is not described herein again. The product processing data information extracted by the image recognition technology comprises product size information, such as the R angle, the spiral angle, the core diameter and the like of the product, and product shape and position information, such as the eccentricity, the chip groove 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 does not accord with the normal processing data information in the database, judging that the product processing data information 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, improving the production speed of the production equipment.
In an embodiment of the invention, a control chart is drawn according to the size data of the obtained product according to the type of the size data, the quantity of the products in the range of the control chart is counted, if the counted value exceeds a preset value, the production speed of the production equipment is accelerated, and the method for accelerating the production speed comprises the steps of increasing the rotating speed of a grinding wheel and/or increasing the feeding amount of a workpiece shaft.
And step S4, if the size data information of the product is abnormal, adjusting the parameters of the production equipment.
In an embodiment of the present invention, the method for adjusting parameters of a production device may include:
substituting the first production equipment parameter, the second production equipment parameter, the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting a parameter value for compensating the production equipment parameter through fitting analysis;
and setting the production equipment by using the parameter value.
For example, in the production process of the tool, the grinding wheel is worn along with the increase of the data of the tool, when the wear 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 each parameter of the production equipment is completed by the following steps: any two parameters are selected from the production equipment parameters, such as the rotational speed of the grinding wheel spindle and the rotational speed of the workpiece spindle. The method comprises the steps of obtaining the rotating speed of a grinding wheel spindle and the rotating speed of a workpiece shaft under the condition that a produced product is qualified, drawing a three-dimensional Gaussian curved 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 a vertical coordinate, 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 curved surface. In the same method, a three-dimensional Gaussian curved surface is drawn according to the rotating speed of the workpiece shaft, the feeding speed of the workpiece shaft and the tolerance range of the product, and the rotating speed of the workpiece shaft and the feeding speed of the workpiece shaft within the tolerance range are searched on the Gaussian curved 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 present 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.
The health data of the production facility may include: the main shaft vibration frequency, the main shaft rotating speed, the brand of the grinding wheel, the type of the grinding wheel, the service life of the grinding wheel and one or more of the corresponding grinding wheel types during product production.
The component of the production apparatus may be a grinding wheel.
The method for establishing the 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 may include:
receiving health data of production equipment acquired by a sensor in real time;
comparing the health data of the production equipment during the production of the product with the normal data in the health database;
and if the health data of the production equipment exceeds the range of 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 the production equipment acquired by the 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 an embodiment of the present invention, the 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 within a normal range is determined.
In another embodiment of the present invention, the thickness information of the grinding wheel obtained by the position sensor is received, the received thickness information is compared with the original information of the grinding wheel, the wear amount of the grinding wheel is calculated, the wear amount is compared with a preset value, and whether the received thickness information of the grinding wheel is within a normal range is determined.
And 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 mode of mails and short messages.
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 the form of mail or short message.
The above-mentioned fig. 2 describes the production equipment adjustment method of the present invention in detail, and the functional modules of the software device for implementing the production equipment adjustment method and the hardware device architecture for implementing the production equipment adjustment method are described below with reference to fig. 3-4.
It is to be understood that the embodiments are illustrative only and that the scope of the claims is not limited to this configuration.
EXAMPLE III
FIG. 3 is a schematic diagram of an adjusting device of a production facility according to a preferred embodiment of the present invention.
In some embodiments, the production equipment adjustment device 10 runs in a computer device. The computer device is connected with a plurality of user terminals through a network. The production equipment adjustment apparatus 10 may include a plurality of functional modules composed of program code segments. The program code of the various program segments in the production equipment adjustment device 10 may be stored in the memory of the computer device and executed by the at least one processor to implement the production equipment adjustment function.
In this embodiment, the production equipment adjustment device 10 may be divided into a plurality of functional modules according to the functions performed by the production equipment adjustment device. Referring to fig. 3, the functional modules may include: the system comprises a tuning module 101, a judging module 102, a first executing module 103 and a second executing module 104. The module referred to herein is a series of computer program segments capable of being executed by at least one processor and capable of performing a fixed function and is stored in memory. In the present embodiment, the functions of the modules will be described in detail in the following embodiments.
The tuning module 101 is configured to select data in a tuning database according to a model of a product to be produced to set parameters of the production equipment, where a correspondence between the model of the product and the parameters of the production equipment is stored in the tuning database.
In one embodiment of the present invention, the production equipment parameters may include: the rotational speed of the grinding wheel spindle, the rotational speed of the workpiece shaft, the feed rate of the workpiece shaft, and the like.
The step of establishing the tuning database may include: obtaining production equipment parameters adopted when qualified products are produced; and substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis to obtain the production equipment parameters with the minimum size out-of-tolerance.
In yet another embodiment of the present invention, the method further includes selecting a corresponding processing consumable part and a parameter of the processing consumable part from a production material database according to a model of a product to be produced. Wherein the processing consumable is a grinding wheel; the parameters of the processing consumables comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and the granularity of the grinding wheel.
For example, the product to be produced is a tool, the tool is produced in the production equipment 2, before production is started, the machine-tuning module 101 receives the model of the tool, searches production equipment parameters corresponding to the model of the tool in the machine-tuning database according to the model, the production equipment parameters 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, and sends the production equipment parameters to the production equipment 2. The tuning module 101 may further search, in the production material database, a model of a grinding wheel, a brand of the grinding wheel, and a granularity of the grinding wheel required for producing the cutter of the model according to the model of the cutter.
The judging module 102 is configured to collect size data of a product in real time, compare the size data of the product with size data in a product size database, and judge whether the size data of the product is normal.
In an embodiment of the present invention, a 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;
performing feature extraction on 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 an apparent size of the product, a shape of the product, and position information.
In an embodiment of the present invention, image information of a product is acquired by a high-definition industrial CCD camera disposed inside a production device, and feature information of a product size is extracted from the acquired 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 the prior art and is not described herein again. The product processing data information extracted by the image recognition technology comprises product size information, such as the R angle, the spiral angle, the core diameter and the like of the product, and product shape and position information, such as the eccentricity, the chip groove 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 does not accord with the normal processing data information in the database, judging that the product processing data information is abnormal.
The first executing module 103 is configured to increase the production speed of the production equipment if the size data of the product is normal and the number of products with normal size data information exceeds a preset value.
In an embodiment of the invention, a control chart is drawn according to the size data of the obtained product according to the type of the size data, the quantity of the products in the range of the control chart is counted, if the counted value exceeds a preset value, the production speed of the production equipment is accelerated, and the method for accelerating the production speed comprises the steps of increasing the rotating speed of a grinding wheel and/or increasing the feeding amount of a workpiece shaft.
And a second executing module 104, configured to adjust the parameters of the production equipment when the size data information of the product is abnormal.
In an embodiment of the present invention, the method for adjusting parameters of a production device may include:
substituting the first production equipment parameter, the second production equipment parameter, the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting a parameter value for compensating the production equipment parameter through fitting analysis;
and setting the production equipment by using the parameter value.
For example, in the production process of the tool, the grinding wheel is worn along with the increase of the data of the tool, when the wear 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 each parameter of the production equipment is completed by the following steps: any two parameters are selected from the production equipment parameters, such as the rotational speed of the grinding wheel spindle and the rotational speed of the workpiece spindle. The method comprises the steps of obtaining the rotating speed of a grinding wheel spindle and the rotating speed of a workpiece shaft under the condition that a produced product is qualified, drawing a three-dimensional Gaussian curved 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 a vertical coordinate, 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 curved surface. In the same method, a three-dimensional Gaussian curved surface is drawn according to the rotating speed of the workpiece shaft, the feeding speed of the workpiece shaft and the tolerance range of the product, and the rotating speed of the workpiece shaft and the feeding speed of the workpiece shaft within the tolerance range are searched on the Gaussian curved 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 present 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.
The health data of the production facility may include: the main shaft vibration frequency, the main shaft rotating speed, the brand of the grinding wheel, the type of the grinding wheel, the service life of the grinding wheel and one or more of the corresponding grinding wheel types during product production.
The component of the production apparatus may be a grinding wheel.
The method for establishing the 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 may include:
receiving health data of production equipment acquired by a sensor in real time;
comparing the health data of the production equipment during the production of the product with the normal data in the health database;
and if the health data of the production equipment exceeds the range of 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 the production equipment acquired by the 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 an embodiment of the present invention, the 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 within a normal range is determined.
In another embodiment of the present invention, the thickness information of the grinding wheel obtained by the position sensor is received, the received thickness information is compared with the original information of the grinding wheel, the wear amount of the grinding wheel is calculated, the wear amount is compared with a preset value, and whether the received thickness information of the grinding wheel is within a normal range is determined.
And 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 mode of mails and short messages.
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 the form of mail or short message.
Example four
FIG. 4 is a diagram of a computer device according to a preferred embodiment of the present invention.
The computer arrangement 1 comprises a memory 20, a processor 30 and a computer program 40, such as a production equipment adjustment program, stored in the memory 20 and executable on the processor 30. The processor 30, when executing the computer program 40, implements the steps of the above-described embodiments of the manufacturing apparatus adjustment method, such as the steps S1-S4 shown in fig. 2. Alternatively, the processor 30 executes the computer program 40 to implement the functions of the modules/units in the above-mentioned embodiment of the production equipment adjustment apparatus, for example, the unit 101 and the unit 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 implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, the instruction segments describing the execution process of the computer program 40 in the computer apparatus 1. For example, the computer program 40 may be divided into the call-up module 101, the judgment module 102, the first execution module 103, and the second execution module 104 in fig. 3. See the third embodiment for the specific functions of each module.
The computer device 1 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. It will be appreciated by a person skilled in the art that the schematic diagram is merely 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 those shown, or some components may be combined, or different components, for example, the computer apparatus 1 may further comprise an input and output device, a network access device, a bus, etc.
The Processor 30 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. 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, various interfaces and lines connecting the various parts of the overall computer device 1.
The memory 20 may be used for storing the computer program 40 and/or the module/unit, and the processor 30 implements various functions of the computer device 1 by running or executing the computer program and/or the module/unit stored in the memory 20 and calling 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 required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the computer apparatus 1, and the like. In addition, the memory 20 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The modules/units integrated with the computer device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and which, when executed by a processor, may implement the steps of the above-described embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
In the embodiments provided in the present invention, it should be understood that the disclosed computer apparatus and method can 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 only one logical function division, and there may be other divisions when the actual implementation is performed.
In addition, functional units in the embodiments of the present invention may be integrated into the same processing unit, or each unit may exist alone physically, or two or more units are integrated into the same unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
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 attributes 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 obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. The units or computer means recited in the computer means claims may also be implemented by the same unit or computer means, either in software or in hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A method of production equipment adjustment, the method comprising:
selecting data in a tuning database according to the model of a product to be produced to set parameters of the production equipment, wherein the tuning 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, improving the production speed of production equipment;
and if the size data information of the product is abnormal, adjusting the parameters of the production equipment.
2. The manufacturing equipment adjustment method according to claim 1, further comprising selecting a corresponding processing consumable part and a parameter of the processing consumable part from a production material database according to a model of a product to be produced.
3. The production equipment adjustment method according to claim 2, wherein the processing consumable is a grinding wheel;
the parameters of the processing consumables comprise one or more of the brand of the grinding wheel, the model of the grinding wheel and the granularity of the grinding wheel.
4. The production equipment adjustment method of claim 1, wherein the step of establishing the tuning database comprises:
obtaining production equipment parameters adopted when qualified products are produced;
and substituting the production equipment parameters and the tolerance range of the qualified product into a preset algorithm model for analysis to obtain the production equipment parameters with the minimum size out-of-tolerance.
5. The method for adjusting production equipment according to claim 1, wherein 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 determining whether the size data of the product is normal comprises:
acquiring image information of a product on line through a camera device;
performing feature extraction on 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. The production facility adjustment method according to claim 1, wherein the method of increasing the production speed of the production facility comprises: increasing one or more of the feed speed of the product to be produced and the rotational speed of the grinding wheel.
7. The method for adjusting manufacturing equipment of claim 1, wherein the method for adjusting the parameters of the manufacturing equipment comprises:
substituting the first production equipment parameter, the second production equipment parameter, the difference value between the abnormal product size and the normal product size into a preset algorithm model for fitting analysis;
outputting a parameter value for compensating the production equipment parameter through fitting analysis;
and setting the production equipment by using the parameter value.
8. A production equipment adjustment device, characterized in that the device comprises:
the system comprises a debugging module, a data processing module and a data processing module, wherein the debugging module is used for selecting data in a debugging database according to the model of a product to be produced to set parameters of production equipment, and the debugging database stores the corresponding relation between the model of the product and the parameters of the production equipment;
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 a product size database and judging whether the size data of the product is normal or not;
the first execution module is used for increasing the production speed of the production equipment when 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.
9. A computer device, characterized by: the computer arrangement comprises a processor for implementing the production device adjustment method according to any one of claims 1-8 when executing a computer program stored in a memory.
10. A computer storage medium having a computer program stored thereon, characterized in that: the computer program, when executed by a processor, implements the production device adjustment method of any one of claims 1-8.
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