CN116402329B - Intelligent management method and system for piston rod production workshop - Google Patents
Intelligent management method and system for piston rod production workshop Download PDFInfo
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- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 7
- 238000005520 cutting process Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 5
- 230000003746 surface roughness Effects 0.000 description 5
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- 239000003921 oil Substances 0.000 description 1
- 238000007747 plating Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 229910001220 stainless steel Inorganic materials 0.000 description 1
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Abstract
The application relates to the technical field of intelligent management, and provides an intelligent management method and system for a piston rod production workshop, wherein the method comprises the following steps: acquiring information of the piston rod and related components thereof; acquiring real-time production and processing parameters and piston rod demand information, and determining an initial coordinate point; setting a piston rod production information chain according to the piston rod production flow and real-time production processing parameters; classifying and aggregating the initial coordinate points to obtain N classified and aggregated coordinate centers; according to the order of the piston rod performance deviation from big to small, regulating and controlling M production stages in the piston rod production process; after the sample piston rod and related components are assembled, a feedback adjustment result is obtained, the technical problem of low production and processing control precision of the piston rod is solved, a staged multi-point control mode is adopted, the production and processing control force of the piston rod is improved, feedback adjustment is carried out, the production and processing control precision of the piston rod is improved, and the technical effect of automatic management of a piston rod production workshop is achieved.
Description
Technical Field
The application relates to the technical field of intelligent management, in particular to an intelligent management method and system for a piston rod production workshop.
Background
The piston rod is used as a shaft part, is slender and has a larger length-diameter ratio, is an important part for transmitting force of the hydraulic oil cylinder, and is widely applied to oil cylinders (the components of the hydraulic oil cylinder comprise cylinder barrels, piston rods, pistons and end covers), air cylinders, automobile manufacturing, hydropneumatic, textile machinery, printing machinery and other products.
The base materials of the piston rod are usually 45# steel, 40Cr steel and stainless steel, and the production and processing precision requirements of the piston rod are high, and generally the base materials are rough turning, semi-finish turning, rough grinding, semi-finish grinding and finish grinding, so that the dimensional tolerance is continuously reduced by utilizing the principle of a small number of times of processing (the dimension test is required after each processing), and the production and manufacturing efficiency of a piston rod production workshop is low.
In summary, the piston rod production and processing control precision in the prior art is low.
Disclosure of Invention
The application provides an intelligent management method and system for a piston rod production workshop, and aims to solve the technical problem of low precision of piston rod production and processing control in the prior art.
In view of the above problems, the embodiment of the application provides an intelligent management method and system for a piston rod production workshop.
According to a first aspect of the present disclosure, an intelligent management method for a piston rod production workshop is provided, wherein the method comprises: acquiring information of the piston rod and related components thereof; acquiring real-time production and processing parameters of the piston rod and piston rod demand information; determining an initial coordinate point of the surface of the piston rod according to the piston rod demand information, wherein the initial coordinate point comprises k piston rod performance demand parameters; setting a piston rod production information chain according to a piston rod production flow and the real-time production processing parameters, wherein the piston rod production information chain comprises M production stages, and M is a positive integer greater than or equal to 2; according to the piston rod production information chain, classifying and polymerizing initial coordinate points on the surface of the piston rod to obtain k classified and polymerized coordinate centers; regulating and controlling the M production stages in the piston rod production process according to the sequence that the performance offset of the piston rod corresponding to the k classification aggregation coordinate centers is from large to small; after the sample piston rod is produced, assembling the sample piston rod and related components thereof, and obtaining feedback adjustment results after the assembling is completed, wherein the feedback adjustment results are regulation and control constraint information of the M production stages.
In another aspect of the disclosure, an intelligent management system for a piston rod production plant is provided, wherein the system comprises: the first information acquisition module is used for acquiring information of the piston rod and related components thereof; the second information acquisition module is used for acquiring real-time production and processing parameters of the piston rod and piston rod demand information; the coordinate point determining module is used for determining initial coordinate points of the surface of the piston rod according to the piston rod demand information, wherein the initial coordinate points comprise k piston rod performance demand parameters; the information chain setting module is used for setting a piston rod production information chain according to the piston rod production flow and the real-time production processing parameters, wherein the piston rod production information chain comprises M production stages, and M is a positive integer greater than or equal to 2; the classification aggregation module is used for carrying out classification aggregation on initial coordinate points on the surface of the piston rod according to the piston rod production information chain to obtain k classification aggregation coordinates; the automatic regulation and control module is used for regulating and controlling the M production stages in the production process of the piston rod according to the sequence that the performance deviation of the piston rod corresponding to the k classification and aggregation coordinate centers is from large to small; and the feedback adjustment module is used for assembling the sample piston rod and related components thereof after the sample piston rod is produced, and obtaining feedback adjustment results after the sample piston rod and related components are assembled, wherein the feedback adjustment results are regulation and control constraint information of the M production stages.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
because the information of the piston rod and the related components is acquired; acquiring real-time production and processing parameters and piston rod demand information, and determining an initial coordinate point; setting a piston rod production information chain according to the piston rod production flow and real-time production processing parameters; classifying and aggregating the initial coordinate points to obtain N classified and aggregated coordinate centers; according to the order of the piston rod performance deviation from big to small, regulating and controlling M production stages in the piston rod production process; after the sample piston rod and related components are assembled, a feedback adjustment result is obtained, a staged multi-point control mode is adopted, the piston rod production and processing control force is improved, feedback adjustment is carried out, the piston rod production and processing control precision is improved, and the technical effect of automatic management of a piston rod production workshop is achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Fig. 1 is a schematic flow chart of a possible intelligent management method of a piston rod production workshop according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a possible process for generating a piston rod production information chain in an intelligent management method of a piston rod production workshop according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a possible flow for generating k cis-position regulation related index sets in an intelligent management method of a piston rod production workshop according to an embodiment of the present application;
fig. 4 is a schematic diagram of a possible structure of an intelligent management system of a piston rod production shop according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a first information acquisition module 100, a second information acquisition module 200, a coordinate point determination module 300, an information chain setting module 400, a classification aggregation module 500, an automatic regulation and control module 600 and a feedback adjustment module 700.
Detailed Description
The embodiment of the application provides an intelligent management method and system for a piston rod production workshop, which solve the technical problem of low precision of piston rod production and processing control, realize a staged multipoint control mode, improve the strength of piston rod production and processing control, perform feedback adjustment, improve the precision of piston rod production and processing control, and realize the technical effect of automatic management of the piston rod production workshop.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent management method for a piston rod production shop, where the method includes:
s10: acquiring information of the piston rod and related components thereof; and
s20: acquiring real-time production and processing parameters of the piston rod and piston rod demand information;
specifically, the piston rod and related components thereof comprise a cylinder barrel, a piston rod, a piston and an end cover, and the information of the piston rod and related components thereof comprises various component basic information such as component model information, component size information and the like; in a piston rod production workshop, acquiring real-time production processing parameters (real-time production processing parameters: real-time rotating speed, real-time cutting processing length and the like of a lathe) of the piston rod according to equipment production records, wherein the piston rod demand information comprises surface roughness requirements (Ra0.4-0.8μm) and machining dimensional tolerances (generally, the dimensional tolerance grade of a forging is 8-12 grade, and the machining allowance grade is common grade), and providing data sources for subsequent steps.
S30: determining an initial coordinate point of the surface of the piston rod according to the piston rod demand information, wherein the initial coordinate point comprises k piston rod performance demand parameters;
s40: setting a piston rod production information chain according to a piston rod production flow and the real-time production processing parameters, wherein the piston rod production information chain comprises M production stages, and M is a positive integer greater than or equal to 2;
as shown in fig. 2, step S40 includes the steps of:
s41: setting M production stages according to the production flow of the piston rod, wherein each production stage corresponds to at least one production device;
s42: obtaining M device regulation sets according to the production devices in the M production stages;
s43: and taking the M equipment regulation and control sets as constraint information and the real-time production processing parameters as input variables based on a chain structure to generate a piston rod production information chain.
Specifically, according to the piston rod demand information, determining an initial coordinate point of the piston rod surface, wherein the initial coordinate point comprises k piston rod performance demand parameters (k is a positive integer and k is greater than or equal to M), and the k piston rod performance demand parameters comprise at least one of the following: surface roughness, surface tin layer thickness (tin plating treatment is adopted, tin is soft and has good lipophilicity, plastic deformation of tin can shorten running-in time, good slidability can prevent a piston from pulling a cylinder when starting and lubricating oil is lacking), manufacturing process (rough turning, finish turning, rough grinding, semi-finish grinding and finish grinding), manufacturing design precision (generally, the tolerance value of rough turning is not more than 0.3mm, the tolerance value of finish turning is not more than 0.046mm, the tolerance value of rough grinding is not more than 0.046mm, the tolerance value of semi-finish grinding is not more than 0.07mm and the tolerance value of finish grinding is not more than 0.03 mm) and the initial coordinate point is any unit area on the surface of a piston rod;
specifically, according to the piston rod production process and the real-time production processing parameters, setting a piston rod production information chain, wherein the piston rod production information chain comprises M production stages, namely a rough turning stage, a finish turning stage and a grinding stage, namely M=3, wherein M is a positive integer greater than or equal to 2, and each production stage corresponds to at least one production device (a rough turning stage, a finish turning stage, a precision lathe and a grinding stage);
according to the production equipment of the M production stages, obtaining M equipment regulation sets, wherein the equipment regulation sets comprise index regulation intervals of all production equipment of the production stage (for example, the equipment regulation sets of a precision lathe comprise a back cutting amount regulation interval, a feeding amount regulation interval, a cutting speed regulation interval and a machine tool power regulation interval) of a finish turning processing stage; based on a chain structure, the M device regulation and control sets are used as constraint information to be observed for the real-time production and processing parameters, the real-time production and processing parameters are used as input variables, chain distribution arrangement is carried out according to a piston rod production flow, a piston rod production information chain is obtained, the piston rod production and processing parameters are regulated and controlled under the premise of controlled constraint limitation (the condition that the production and processing parameters are not set due to the error of the set production and processing parameters, and the feasibility of production and processing parameter regulation and control management is ensured).
S50: according to the piston rod production information chain, classifying and polymerizing initial coordinate points on the surface of the piston rod to obtain k classified and polymerized coordinate centers;
step S50 includes the steps of:
s51: determining k cis-position regulation index sets based on k piston rod performance requirement parameters in the initial coordinate points;
s52: performing correlation analysis according to the k cis-position regulation index sets to obtain k cis-position regulation related index sets;
s53: and carrying out classified aggregation on coordinate points on the surface of the piston rod according to the k cis-position regulation related index sets to obtain k classified aggregation coordinate centers.
Specifically, according to the piston rod production information chain, classifying and polymerizing initial coordinate points on the surface of a piston rod to obtain k classified and polymerized coordinate centers, wherein k piston rod performance requirement parameters in the initial coordinate points are taken as adjustment targets, k order regulation index sets corresponding to the k piston rod performance requirement parameters are determined (for example, the tolerance value set as a rough car in the manufacturing design precision is not more than 0.3mm, the back draft of the common lathe can be preferably adjusted, then the feed of the common lathe is adjusted, namely, the back draft of the common lathe is taken as a first order regulation index, the feed of the common lathe is taken as a second order regulation index, and the order regulation index set corresponding to the tolerance value set as the rough car in the manufacturing design precision is obtained);
according to priority of the cis-position regulation, sequentially performing relevance analysis according to the k cis-position regulation index sets (generally, if only one index does not meet the requirement parameter of piston rod performance, the index with low relevance to other indexes needs to be preferentially regulated, which is simply stated, the machine tool power and the cutting speed are high in relevance to other indexes with low relevance to other indexes such as cutting speed, and if the machine tool power regulation or the back-position regulation can meet the requirement, the back-position regulation is preferentially selected, the k cis-position regulation index sets are limited, and k cis-position regulation related index sets are obtained;
and (3) using a K-Medoids (central point) algorithm, namely simply taking the K cis-position regulation related index sets as central points, taking the central points as reference starting points, performing bottom-up condensation hierarchical classification clustering iteration on the coordinate points on the surface of the piston rod, and acquiring K classification aggregation coordinate centers after the clustering iteration is carried out until the coordinate point distribution on the surface of the piston rod is not changed any more, thereby providing support for fine regulation of parameters.
Step S51 includes the steps of:
s511: on the piston rod production information chain, a first cis-position regulation index is obtained by taking a first piston rod performance demand parameter in the initial coordinate point as a target;
s512: on the piston rod production information chain, taking a first piston rod performance requirement parameter in the initial coordinate point as a target, and acquiring a second cis-position regulation index;
s513: acquiring a cis-position regulation index set corresponding to the first piston rod performance demand parameter in the initial coordinate point based on the first cis-position regulation index and the second cis-position regulation index;
s514: and generating k cis-position regulation index sets based on the kth piston rod performance requirement parameter in the initial coordinate point.
Specifically, determining k cis-position regulation index sets based on k piston rod performance requirement parameters in the initial coordinate point includes, on the piston rod production information chain, taking a first piston rod performance requirement parameter in the initial coordinate point as a target, and acquiring a first cis-position regulation index (a regulation index with the highest correspondence with the first piston rod performance requirement parameter, if the first piston rod performance requirement parameter is a tolerance value set as a rough turning in manufacturing design precision, the first cis-position regulation index may be a back cutting tool amount of a common lathe); on the piston rod production information chain, taking a first piston rod performance requirement parameter in the initial coordinate point as a target, and acquiring a second cis-position regulation index (a regulation index with a second highest degree of correspondence with the first piston rod performance requirement parameter, wherein if the first piston rod performance requirement parameter is a tolerance value set as a rough turning in manufacturing design precision, the second cis-position regulation index can be the feeding amount of an ordinary lathe); based on the first and second cis-position regulation indexes, acquiring a cis-position regulation index set corresponding to the first piston rod performance requirement parameter in the initial coordinate point according to the sequence from high to low of the degree of correspondence with the first piston rod performance requirement parameter, and taking the cis-position regulation index set corresponding to the first piston rod performance requirement parameter as a first cis-position regulation index set; and repeating the operation, and sequentially obtaining k cis-position regulation and control index sets according to the sequence from high to low of the corresponding degree of the k piston rod performance requirement parameters based on the k piston rod performance requirement parameters in the initial coordinate point, wherein the k cis-position regulation and control index sets are in one-to-one correspondence with the k piston rod performance requirement parameters, and support is provided for rapid regulation and control of piston rod requirements.
As shown in fig. 3, step S52 includes the steps of:
s521: performing correlation analysis on k first cis-position regulation indexes to obtain a first locking set;
s522: performing correlation analysis on the k second cis-position regulation indexes to obtain a second locking set;
s523: and generating the k cis-position regulation related index sets based on the first locking set and the second locking set.
Specifically, performing correlation analysis according to the k priority regulation index sets to obtain k priority regulation related index sets, including positioning regulation indexes of which all sequences are at the positions of first priority regulation indexes in the k priority regulation index sets, obtaining k first priority regulation indexes, performing correlation analysis on the k first priority regulation indexes (the correlation analysis is performed by a TOPSIS method (Technique for Order Preference by Similarity to ideal Sulution, a superior-inferior solution distance method), specifically, performing normalization processing on the k first priority regulation indexes, performing correlation analysis on the best matching characteristic with highest similarity and the worst matching characteristic with lowest similarity found by a cosine method, then respectively calculating distances between the k first priority regulation indexes and the best matching characteristic and the worst matching characteristic, obtaining the relative proximity degree between the k first priority regulation indexes and the best matching characteristic, determining the correlation degree between the k first priority regulation indexes, and adding the correlation degree exceeding 50% (50% = 0.51%) to the first priority regulation indexes to a first locking regulation index of which is more than 50% = 0.51% = 100%) (25%) (the correlation analysis is performed by adding the k first priority regulation indexes to the second locking regulation index of 25%);
and in k cis-position regulation and control index sets, the first locking set and the second locking set are used as regulation and control indexes of association locking (if necessary, the operations can be repeated to continuously obtain a third locking set and a fourth locking set), the k cis-position regulation and control index sets are subjected to regulation and control association locking (generally, if the surface roughness and the surface tin layer thickness are not met at the same time, in the cis-position regulation and control index set with the surface roughness as a target and the cis-position regulation and control index set with the surface tin layer thickness as a target, an association regulation and control mode can be adopted to determine the regulation and control indexes of association locking (namely, after the regulation and control indexes of association locking are changed, the surface roughness and the surface tin layer thickness are changed), and the k cis-position regulation and control related index sets are obtained after the association locking mark is completed, so that a plurality of regulation and control requirements are met with minimum regulation and control efficiency is accelerated, and technical support is provided for realizing rapid and high-precision production regulation and control.
S60: regulating and controlling the M production stages in the piston rod production process according to the sequence that the performance offset of the piston rod corresponding to the k classification aggregation coordinate centers is from large to small;
s70: after the sample piston rod is produced, assembling the sample piston rod and related components thereof, and obtaining feedback adjustment results after the assembling is completed, wherein the feedback adjustment results are regulation and control constraint information of the M production stages.
Step S70 includes the steps of:
s71: after production of the sample piston rod, quality inspection of the sample piston rod and its related components is performed;
s72: after the sample piston rod and the related components thereof pass the quality inspection, assembling the sample piston rod and the related components thereof;
s73: and after the sample piston rod and related components are assembled, sample product information is obtained, and a feedback adjustment result is obtained according to the sample product information and the product demand information.
Specifically, in the production process of the piston rod, setting the k classification aggregate coordinate centers as regulation and control management coordinate points of the surface of the piston rod, regulating and controlling in M production stages according to the order of the performance deviation of the corresponding piston rod from large to small, and further comprising: after a small batch of sample piston rods are produced in a piston rod production workshop, assembling the sample piston rods and related components thereof, and after the sample piston rods and the related components thereof are assembled, obtaining feedback adjustment results, wherein the feedback adjustment results are regulation and control constraint information of the M production stages (in short, the piston rods need to be assembled with a cylinder barrel, a piston and an end cover to be manufactured into related products such as a hydraulic cylinder, and the related products such as the hydraulic cylinder also have certain product performance requirements, and the small batch of feedback optimization regulation and control can be performed before the piston rods are put into production on a large scale so as to provide support for ensuring the suitability between the processed piston rods and related components thereof;
specifically, after the production of the sample piston rod, assembling the sample piston rod and related components thereof, and obtaining feedback adjustment results after the assembly is completed, wherein the quality inspection is carried out on the sample piston rod and related components thereof after the production of the sample piston rod; after the quality inspection (quality inspection: meeting the quality inspection specifications of JB/T13755-2020 "technical Condition of piston rod for gas spring" and the like) of the sample piston rod and related components thereof passes, assembling the sample piston rod and related components thereof, and obtaining sample product information after the sample piston rod and related components thereof are assembled, wherein the sample product information comprises but is not limited to sample air tightness information, sample coaxiality information and sample wear resistance information, and a feedback adjustment result is obtained according to the sample product information and product requirement information (the product requirement information is consistent with the data type of the sample product information), so as to provide support for feedback optimization regulation and control.
Step S73 includes the steps of:
s731: performing air tightness test on the sample product information to obtain first sample product information;
s732: coaxiality test is conducted on the sample product information, and second sample product information is obtained;
s733: carrying out wear resistance test on the sample product information to obtain third sample product information;
s734: and acquiring a feedback adjustment result according to the first sample product information, the second sample product information, the third sample product information and the product demand information.
Specifically, sample product information is obtained, and a feedback adjustment result is obtained according to the sample product information and product demand information, wherein the sample product information is subjected to an air tightness test (which can be realized by a vacuum attenuation method, and the vacuum attenuation method is the prior art), and the air tightness test result is defined as first sample product information; coaxiality test is conducted on the sample product information (a dial indicator measuring method is used for reading the maximum value and the minimum value of roundness measuring values of a cylinder barrel, a piston rod, a piston and an end cover on a sample product, and the maximum value and the minimum value of the roundness measuring values are used as coaxiality test results), and coaxiality test results are defined as second sample product information; performing wear resistance test on the sample product information (to ensure the test accuracy, an isotope measurement method can be adopted, wherein the isotope measurement method is a common means for measuring the wear resistance), and defining a wear resistance test result as third sample product information; and setting the difference values of the air tightness constraint index, the coaxiality constraint index and the wear resistance constraint index in the first sample product information, the second sample product information, the third sample product information and the product demand information as feedback adjustment results, and ensuring the performance of the product manufactured by the piston rod and related components thereof.
In summary, the intelligent management method and system for the piston rod production workshop provided by the embodiment of the application have the following technical effects:
1. because the information of the piston rod and the related components is acquired; acquiring real-time production and processing parameters and piston rod demand information, and determining an initial coordinate point; setting a piston rod production information chain according to the piston rod production flow and real-time production processing parameters; classifying and aggregating the initial coordinate points to obtain N classified and aggregated coordinate centers; according to the order of the piston rod performance deviation from big to small, regulating and controlling M production stages in the piston rod production process; after the sample piston rod and related components are assembled, a feedback adjustment result is obtained, and the intelligent management method and system for the piston rod production workshop provided by the application realize the technical effects of improving the control force of piston rod production and processing by adopting a staged multi-point control mode, carrying out feedback adjustment, improving the control precision of piston rod production and processing and realizing the automatic management of the piston rod production workshop.
2. Because the correlation analysis is carried out on k first cis-position regulation indexes and k second cis-position regulation indexes, a first locking set and a second locking set are respectively obtained; based on the first locking set and the second locking set, k cis-position regulation and control related index sets are generated, multiple regulation and control requirements are met with minimum regulation and control change, regulation and control efficiency is quickened, and technical support is provided for realizing rapid high-precision production regulation and control.
Example two
Based on the same inventive concept as the intelligent management method of the piston rod production shop in the foregoing embodiment, as shown in fig. 4, an embodiment of the present application provides an intelligent management system of the piston rod production shop, where the system includes:
a first information acquisition module 100 for acquiring information of the piston rod and its related components; and
the second information acquisition module 200 is configured to acquire real-time production and processing parameters of the piston rod and piston rod demand information;
the coordinate point determining module 300 is configured to determine an initial coordinate point of the piston rod surface according to the piston rod requirement information, where the initial coordinate point includes k piston rod performance requirement parameters;
the information chain setting module 400 is configured to set a piston rod production information chain according to a piston rod production flow and the real-time production processing parameters, where the piston rod production information chain includes M production stages, and M is a positive integer greater than or equal to 2;
the classification aggregation module 500 is configured to perform classification aggregation on initial coordinate points on the surface of the piston rod according to the piston rod production information chain, so as to obtain k classification aggregation coordinate centers;
the automatic regulation and control module 600 is configured to regulate and control the M production stages in the piston rod production process according to the order of the k classification and aggregation coordinate centers corresponding to the piston rod performance offset from large to small;
and the feedback adjustment module 700 is configured to, after the production of the sample piston rod, assemble the sample piston rod and related components thereof, and obtain a feedback adjustment result after the assembly is completed, where the feedback adjustment result is regulation constraint information of the M production stages.
Further, the system includes:
the production stage setting module is used for setting M production stages according to the production flow of the piston rod, wherein each production stage corresponds to at least one production device;
the equipment regulation and control set acquisition module is used for acquiring M equipment regulation and control sets according to the production equipment in the M production stages;
and the piston rod production information chain generation module is used for generating a piston rod production information chain by taking the M device regulation and control sets as constraint information and taking the real-time production processing parameters as input variables based on a chain structure.
Further, the system includes:
the cis-position regulation index set acquisition module is used for determining k cis-position regulation index sets based on k piston rod performance requirement parameters in the initial coordinate point;
the correlation analysis module is used for carrying out correlation analysis according to the k cis-position regulation and control index sets to obtain k cis-position regulation and control related index sets;
and the classification aggregation module is used for carrying out classification aggregation on coordinate points on the surface of the piston rod according to the k cis-position regulation related index sets to obtain k classification aggregation coordinate centers.
Further, the system includes:
the first cis-position regulation and control index acquisition module is used for acquiring a first cis-position regulation and control index on the piston rod production information chain by taking a first piston rod performance requirement parameter in the initial coordinate point as a target;
the second cis-position regulation and control index acquisition module is used for acquiring a second cis-position regulation and control index on the piston rod production information chain by taking the first piston rod performance requirement parameter in the initial coordinate point as a target;
the cis-position regulation and control index set acquisition module is used for acquiring a cis-position regulation and control index set corresponding to the first piston rod performance requirement parameter in the initial coordinate point based on the first cis-position regulation and control index and the second cis-position regulation and control index;
and the k cis-position regulation index set generation module is used for generating k cis-position regulation index sets based on the k piston rod performance requirement parameters in the initial coordinate point.
Further, the system includes:
the first locking set acquisition module is used for carrying out correlation analysis on k first cis-position regulation indexes to acquire a first locking set;
the second locking set acquisition module is used for carrying out correlation analysis on k second cis-position regulation indexes to acquire a second locking set;
and the k cis-position regulation related index set generation modules are used for generating the k cis-position regulation related index sets based on the first locking set and the second locking set.
Further, the system includes:
the quality inspection module is used for performing quality inspection on the sample piston rod and related components thereof after the sample piston rod is produced;
a component assembly module for assembling the sample piston rod and related components thereof after the sample piston rod and related components thereof pass the quality inspection;
and the sample product information acquisition module is used for acquiring sample product information after the sample piston rod and related components thereof are assembled, and acquiring a feedback adjustment result according to the sample product information and the product demand information.
Further, the system includes:
the air tightness testing module is used for carrying out air tightness testing on the sample product information to obtain first sample product information;
the coaxiality testing module is used for testing coaxiality of the sample product information and obtaining second sample product information;
the abrasion resistance testing module is used for conducting abrasion resistance testing on the sample product information and obtaining third sample product information;
and the feedback adjustment result acquisition module is used for acquiring a feedback adjustment result according to the first sample product information, the second sample product information, the third sample product information and the product demand information.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any method for implementing an embodiment of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (5)
1. An intelligent management method for a piston rod production workshop is characterized by comprising the following steps:
acquiring information of the piston rod and related components thereof; and
acquiring real-time production and processing parameters of the piston rod and piston rod demand information;
determining an initial coordinate point of the surface of the piston rod according to the piston rod demand information, wherein the initial coordinate point comprises k piston rod performance demand parameters;
setting a piston rod production information chain according to the piston rod production flow and the real-time production processing parameters, comprising:
setting M production stages according to the production flow of the piston rod, wherein each production stage corresponds to at least one production device;
obtaining M equipment regulation sets according to the production equipment in the M production stages, wherein the equipment regulation sets comprise index regulation intervals of all production equipment in the corresponding production stages;
taking the M equipment regulation and control sets as constraint information and the real-time production and processing parameters as input variables based on a chain structure to generate a piston rod production information chain, wherein the piston rod production information chain comprises M production stages, and M is a positive integer greater than or equal to 2;
according to the piston rod production information chain, carrying out classified aggregation on initial coordinate points on the surface of the piston rod to obtain k classified aggregation coordinate centers, wherein the method comprises the following steps:
on the piston rod production information chain, a first order regulation and control index and a second order regulation and control index are obtained by taking a first piston rod performance requirement parameter in the initial coordinate point as a target, wherein the first order regulation and control index is a regulation and control index with a first rank corresponding to the first piston rod performance requirement parameter, and the second order regulation and control index is a regulation and control index with a second rank corresponding to the first piston rod performance requirement parameter;
acquiring a cis-position regulation index set corresponding to the first piston rod performance demand parameter in the initial coordinate point based on the first cis-position regulation index and the second cis-position regulation index;
generating k cis-position regulation index sets based on the kth piston rod performance requirement parameter in the initial coordinate point;
performing correlation analysis according to the k cis-position regulation index sets to obtain k cis-position regulation related index sets;
according to the k cis-position regulation related index sets, classifying and aggregating coordinate points on the surface of the piston rod to obtain k classified and aggregated coordinate centers;
regulating and controlling the M production stages in the piston rod production process according to the sequence that the performance offset of the piston rod corresponding to the k classification aggregation coordinate centers is from large to small;
after the sample piston rod is produced, assembling the sample piston rod and related components thereof, and obtaining feedback adjustment results after the assembling is completed, wherein the feedback adjustment results are regulation and control constraint information of the M production stages.
2. The method of claim 1, wherein a correlation analysis is performed according to the k cis-position regulation index sets to obtain k cis-position regulation related index sets, the method comprising:
positioning the regulation indexes which are sequenced in the first order regulation index positions in the k order regulation index sets, and obtaining k first order regulation indexes;
performing correlation analysis on k first cis-position regulation indexes to obtain a first locking set;
positioning the regulation indexes which are sequenced in the second cis-position regulation index positions in the k cis-position regulation index sets, and obtaining k second cis-position regulation indexes;
performing correlation analysis on the k second cis-position regulation indexes to obtain a second locking set;
and generating the k cis-position regulation related index sets based on the first locking set and the second locking set.
3. The method of claim 1, wherein after production of the sample piston rod, the sample piston rod and its associated components are assembled, and after assembly, feedback adjustment results are obtained, the method comprising:
after production of the sample piston rod, quality inspection of the sample piston rod and its related components is performed;
after the sample piston rod and the related components thereof pass the quality inspection, assembling the sample piston rod and the related components thereof;
and after the sample piston rod and related components are assembled, sample product information is obtained, and a feedback adjustment result is obtained according to the sample product information and the product demand information.
4. The method of claim 3, wherein feedback adjustment results are obtained in accordance with the sample product information and product demand information, the method comprising:
performing air tightness test on the sample product information to obtain first sample product information;
coaxiality test is conducted on the sample product information, and second sample product information is obtained;
carrying out wear resistance test on the sample product information to obtain third sample product information;
and acquiring a feedback adjustment result according to the first sample product information, the second sample product information, the third sample product information and the product demand information.
5. An intelligent management system for a piston rod manufacturing shop, characterized by implementing an intelligent management method for a piston rod manufacturing shop according to any one of claims 1-4, comprising:
the first information acquisition module is used for acquiring information of the piston rod and related components thereof; and
the second information acquisition module is used for acquiring real-time production and processing parameters of the piston rod and piston rod demand information;
the coordinate point determining module is used for determining initial coordinate points of the surface of the piston rod according to the piston rod demand information, wherein the initial coordinate points comprise k piston rod performance demand parameters;
the information chain setting module is used for setting a piston rod production information chain according to the piston rod production flow and the real-time production processing parameters, wherein the piston rod production information chain comprises M production stages, and M is a positive integer greater than or equal to 2;
the classification aggregation module is used for carrying out classification aggregation on initial coordinate points on the surface of the piston rod according to the piston rod production information chain to obtain k classification aggregation coordinate centers;
the automatic regulation and control module is used for regulating and controlling the M production stages in the production process of the piston rod according to the sequence that the performance deviation of the piston rod corresponding to the k classification and aggregation coordinate centers is from large to small;
and the feedback adjustment module is used for assembling the sample piston rod and related components thereof after the sample piston rod is produced, and obtaining feedback adjustment results after the sample piston rod and related components are assembled, wherein the feedback adjustment results are regulation and control constraint information of the M production stages.
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