CN117000484A - Hub surface coating equipment - Google Patents
Hub surface coating equipment Download PDFInfo
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- CN117000484A CN117000484A CN202310689879.4A CN202310689879A CN117000484A CN 117000484 A CN117000484 A CN 117000484A CN 202310689879 A CN202310689879 A CN 202310689879A CN 117000484 A CN117000484 A CN 117000484A
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- 238000000576 coating method Methods 0.000 title claims abstract description 66
- 239000011248 coating agent Substances 0.000 title claims abstract description 58
- 238000005507 spraying Methods 0.000 claims abstract description 144
- 239000003973 paint Substances 0.000 claims abstract description 41
- 239000007788 liquid Substances 0.000 claims abstract description 40
- 239000000725 suspension Substances 0.000 claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 230000000007 visual effect Effects 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 15
- 230000000149 penetrating effect Effects 0.000 claims abstract description 4
- 238000004519 manufacturing process Methods 0.000 claims description 114
- 238000000034 method Methods 0.000 claims description 27
- 238000010191 image analysis Methods 0.000 claims description 21
- 238000009472 formulation Methods 0.000 claims description 18
- 239000000203 mixture Substances 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 15
- 239000007921 spray Substances 0.000 claims description 14
- 238000012797 qualification Methods 0.000 claims description 13
- 230000007613 environmental effect Effects 0.000 claims description 12
- 150000003839 salts Chemical class 0.000 claims description 9
- 238000012549 training Methods 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 239000011521 glass Substances 0.000 claims description 7
- 238000004886 process control Methods 0.000 claims description 6
- 239000000853 adhesive Substances 0.000 claims description 3
- 230000001070 adhesive effect Effects 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 239000002994 raw material Substances 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 7
- 239000010410 layer Substances 0.000 description 6
- 239000000463 material Substances 0.000 description 5
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000005260 corrosion Methods 0.000 description 2
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- 229910001385 heavy metal Inorganic materials 0.000 description 1
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B16/00—Spray booths
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B12/00—Arrangements for controlling delivery; Arrangements for controlling the spray area
- B05B12/08—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means
- B05B12/12—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means responsive to conditions of ambient medium or target, e.g. humidity, temperature position or movement of the target relative to the spray apparatus
- B05B12/122—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means responsive to conditions of ambient medium or target, e.g. humidity, temperature position or movement of the target relative to the spray apparatus responsive to presence or shape of target
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B16/00—Spray booths
- B05B16/90—Spray booths comprising conveying means for moving objects or other work to be sprayed in and out of the booth, e.g. through the booth
Landscapes
- Application Of Or Painting With Fluid Materials (AREA)
Abstract
The application relates to a surface coating device of a hub, which comprises a suspension chain conveyor, a spraying room, a plurality of spraying robots, a visual detection assembly and a PLC (programmable logic controller); the system comprises a suspension chain conveyor, a spraying room, a plurality of spraying robots and a visual detection assembly, wherein the visual detection assembly is connected with a PLC; the suspension chain conveyor is arranged in the spraying chamber in a penetrating manner, and a plurality of hanging tools for conveying hubs to be processed are arranged in a sliding manner; the spraying robots are arranged in two rows in the spraying chamber, and the two rows of spraying robots are arranged along the conveying direction of the suspension chain conveyor and are oppositely arranged; the PLC controller generates a hub spraying scheme based on user requirements and controls the spraying robots to carry out coating processing on the hubs conveyed by the suspension chain conveyor. According to the application, the hub spraying scheme can be generated based on user demand matching, so that the custom configuration of paint liquid and automatic parameter generation and setting are realized, and the effects of effectively improving the surface coating quality and the coating efficiency of the hub are achieved.
Description
Technical Field
The application relates to the field of surface coating, in particular to surface coating equipment for hubs.
Background
The hub is used as an important safety part of the automobile, plays a very important role in the use process of the automobile, and has increasingly higher requirements on better corrosion resistance in the use process of the hub, in particular to the corrosion resistance in the operation of the hub in a severe environment.
Coating refers to a process of coating a product processed by materials such as metal, plastic, wood and the like, wherein a protective layer or a decorative layer is covered on the surface, and along with the development of industrial technology, the development of the coating technology and equipment in China goes through the development process from manual to mechanical equipment to an automatic production line, and the coating process flow is generally as follows: pretreatment, polishing, coating, leveling, drying or curing and three-waste treatment. Coating equipment is the mechanical equipment used to complete these coating processes. The existing surface coating process flow is approximately the same, the coating performance of the existing surface coating equipment is often dependent on the paint layer components, the existing surface coating equipment is cured and complicated in coating process, the parameter control is complex, large manpower and material resources are consumed, and the hub performance after coating processing is easy to appear and cannot meet the user requirements.
Disclosure of Invention
The application provides a surface coating device for a hub, which aims to solve the problems that the coating process of the existing surface coating device is complicated, the parameter control is difficult, and the hub performance after coating processing can not meet the requirements of users easily.
In a first aspect, the application provides a surface coating device for a hub, which adopts the following technical scheme:
the surface coating equipment for the hub comprises a suspension chain conveyor, a spraying room, a plurality of spraying robots, a visual detection assembly and a PLC controller; the system comprises a suspension chain conveyor, a spraying room, a plurality of spraying robots and a visual detection assembly, wherein the visual detection assembly is connected with a PLC; the suspension chain conveyor is arranged in the spraying chamber in a penetrating manner, and a plurality of hanging tools for conveying hubs to be processed are arranged in a sliding manner; the spraying robots are arranged in two rows in the spraying chamber, and the two rows of spraying robots are arranged along the conveying direction of the suspension chain conveyor and are oppositely arranged; the PLC controller generates a hub spraying scheme based on user requirements and controls the spraying robots to carry out coating processing on the hubs conveyed by the suspension chain conveyor.
Preferably, the PLC controller generates a hub spraying scheme based on user requirements, and controls the plurality of spraying robots to perform coating processing on the hub conveyed by the suspension chain conveyor, specifically including the following steps:
obtaining a user demand to generate a hub performance demand, wherein the hub performance demand comprises at least one of thickness, glossiness, adhesive force, hardness, tensile strength, yield strength, elongation, viscosity, flexibility, water resistance, salt spray resistance and weather resistance;
according to the hub performance requirement, a hub spraying scheme is determined in a matching mode, wherein the hub spraying scheme comprises paint liquid formula information, equipment parameters and production process flow information, and the paint liquid formula information comprises at least one raw material information and configuration process flow information;
dispatching production personnel and auxiliary equipment according to a hub spraying scheme, configuring paint liquid according to configuration process flow information, and transporting to a spraying robot;
the PLC controller generates a process control instruction based on the production process flow information, sets equipment parameters of the suspension chain conveyor, the spraying room, the spraying robots and the visual detection assembly, and controls the spraying robots to carry out coating processing on the hubs conveyed by the suspension chain conveyor based on the process control instruction.
Preferably, the method for determining the hub spraying scheme according to the hub performance requirement matching specifically comprises the following steps:
according to the hub performance requirements, at least one alternative scheme meeting the hub performance requirements is determined through matching of a preset scheme matching model; the scheme matching model is obtained by training a machine learning model through historical data;
calculating a formula score A of each alternative scheme according to a preset formula score formula for the paint liquid formula of each alternative scheme;
scoring each alternative scheme based on each performance requirement, and generating a performance score B of each alternative scheme;
scoring each alternative scheme based on the production condition, and generating a production score C of each alternative scheme;
calculating and determining a scheme score D of each alternative scheme through a preset scheme score formula;
and sequencing the alternative schemes based on the scheme scores, and selecting the alternative scheme with the highest score value as the hub spraying scheme.
Preferably, the preset formula scoring formula specifically includes:
wherein A is i Scoring the formulation of the ith alternative; s is a preset paint liquid unit cost standard; s is S i Cost per production for the formulation of the ith alternative; n is a preset paint liquid configuration difficulty coefficient standard; n (N) i The configuration difficulty coefficient of the formula of the ith alternative scheme is the higher the configuration difficulty coefficient is; j is a preset paint liquid unit configuration time reference; j (J) i A configuration duration for the formulation of the ith alternative; h is a preset paint liquid environmental protection coefficient standard; h i Environmental factors for the formulation of the ith alternative; x is X 1 Scoring coefficients for preset production cost; x is X 2 Scoring coefficients for preset configuration difficulty; x is X 3 Scoring coefficients for preset configuration duration; x is X 4 The method comprises the steps of scoring a preset environmental protection influence coefficient; and X is 1 、X 2 、X 3 、X 4 Are set by the manager.
Preferably, the preset scheme scoring formula specifically includes:
D i ＝Y 1 *A i +Y 2 *B i +Y 3 *C i ；
wherein D is i Scoring the scheme of the ith alternative scheme; a is that i Is the first i Formulation scoring of the individual alternatives; bi is the performance score of the i-th alternative; c (C) i Scoring the production of the ith alternative; y is Y 1 Scoring coefficients for the formulation; y is Y 2 Scoring coefficients for performance; y is Y 3 Scoring coefficient for production；Y 1 、Y 2 And Y 3 Are set by the manager.
Preferably, the scoring each alternative solution based on each performance requirement, and generating the performance score B of each alternative solution specifically includes the following steps:
generating a performance sequence based on hub performance requirements for each alternative, the performance sequence comprising at least one of a thickness sequence, a gloss sequence, an adhesion sequence, a hardness sequence, a tensile strength sequence, a yield strength sequence, an elongation sequence, a viscosity sequence, a flexibility sequence, a water resistance sequence, a salt spray resistance sequence, and a weather resistance sequence;
generating sequence scores of various alternatives based on a preset sequence score comparison table, wherein the sequence scores comprise one or more of thickness sequence scores, glossiness sequence scores, adhesion sequence scores, hardness sequence scores, tensile strength sequence scores, yield strength sequence scores, elongation sequence scores, viscosity sequence scores, flexibility sequence scores, water resistance sequence scores, salt spray resistance sequence scores and weather resistance sequence scores;
acquiring a user performance requirement trend, and determining a highest priority performance sequence and a next priority performance sequence in the performance sequences;
and calculating the performance score B of each alternative scheme through a preset performance score calculation formula based on the sequence scores of the highest priority performance sequence and the secondary priority performance sequence of each alternative scheme.
Preferably, the preset performance score calculation formula specifically includes:
B i ＝L 1 *Z i +L 2 *V i ；
wherein B is i Performance score for the i < th > alternative; l (L) 1 Scoring coefficients for the highest priority performance sequence; z is Z i Scoring the highest priority performance sequence of the i-th alternative; l (L) 2 Scoring coefficients for the sub-priority performance sequence; v (V) i Sum of the sub-priority performance sequence scores for the i-th alternative; and L is 1 And L 2 Are all pipeAnd setting by a manager.
Preferably, the scoring the alternatives based on the production situation, and generating the production score C of each alternative specifically includes the following steps:
generating a production cost sequence, a production efficiency sequence and a spraying qualification rate sequence for each alternative scheme based on the production cost, the production efficiency and the spraying qualification rate respectively;
generating a production cost sequence score, a production efficiency sequence score and a spraying qualification rate sequence score of each alternative scheme through a preset sequence score comparison table;
acquiring the production preference tendency of a user, determining one sequence of a production cost sequence, a production efficiency sequence and a spraying qualification rate sequence as a highest priority production sequence, and taking the other two sequences as secondary priority production sequences;
calculating the production score C of each alternative scheme through a preset production score calculation formula based on the sequence scores of the highest priority production sequence and the secondary priority production sequence of each alternative scheme.
Preferably, the preset production score calculation formula specifically includes:
C i ＝K 1 *M i +K 2 *N i ；
wherein C is i Scoring the production of the ith alternative; k (K) 1 Scoring coefficients for the highest priority production sequences; m is M i Scoring the highest priority production sequence of the i-th alternative; k (K) 2 Scoring coefficients for the sub-priority production sequences; n (N) i Producing a sum of sequence scores for the sub-priorities of the ith alternative; and K is 1 And K 2 Are set by the manager.
Preferably, a glass observation wall is arranged on one side of the spraying chamber, and the visual detection assembly is arranged on the outer wall of the glass observation wall and faces to the plurality of spraying robots; the visual detection assembly comprises video acquisition equipment for acquiring a spraying processing picture and an image analysis model for analyzing images in real time, wherein the image analysis model is connected with the video acquisition equipment on the basis of Chat Gtp4.0 as a bottom layer to carry out image analysis training on whether a hanger mounts a hub; the image analysis model identifies the hanger entering the spraying room, and when the hanger which is not mounted with the hub reaches the spraying robot, the image analysis model sends control instruction information to the spraying robot to control the spraying robot to skip the spraying operation.
In summary, the present application includes at least one of the following beneficial technical effects:
1. through the arrangement of the PLC, the hub spraying scheme can be accurately and efficiently matched according to the user requirements, the custom allocation of paint liquid is realized, the spraying logic of a spraying robot is optimized, the parameter automatic matching setting is realized, the hub surface coating process is simplified, and the effects of effectively improving the hub coating quality and the coating efficiency are achieved;
2. through the arrangement of a scheme matching model, a plurality of alternative schemes meeting the performance requirement of the hub are matched and determined, the three aspects of paint liquid formula, coating performance and production condition of each alternative scheme are respectively scored, the accurate calculation scheme scoring of each alternative scheme is realized, the best alternative scheme is effectively and accurately screened out to serve as a hub spraying scheme, meanwhile, the user requirement is met, the manual process of the surface coating of the hub is simplified, manpower and material resources are saved, and the satisfied hub spraying scheme is matched for the user based on the actual production condition of the user;
3. the image analysis model is built on the basis of Chat Gtp4.0 as a bottom layer, so that the image analysis model has an efficient and high-precision image analysis function, real-time analysis of image information in a spraying chamber can be realized, and a spraying robot is controlled to flexibly skip a spraying procedure of an empty hanger.
Drawings
FIG. 1 is a schematic view of a spray booth in accordance with an embodiment of the present application;
FIG. 2 is a system block diagram of a surface coating apparatus for a wheel hub in accordance with an embodiment of the present application;
FIG. 3 is a flow chart of a method of performing a coating process in an embodiment of the application;
FIG. 4 is a flow chart of a method of matching a determined hub spray scheme in an embodiment of the present application;
FIG. 5 is a flow chart of a method of generating performance scores for various alternatives in an embodiment of the application;
FIG. 6 is a flow chart of a method of generating production scores for various alternatives in an embodiment of the application.
Reference numerals illustrate: 1. a hanging chain conveyor; 2. a spray booth; 3. a spraying robot; 4. a visual detection component; 41. video acquisition equipment; 42. an image analysis model; 5. and a PLC controller.
Detailed Description
The application is described in further detail below with reference to fig. 1-6.
The embodiment of the application discloses a surface coating device for a hub. Referring to fig. 1 and 2, a surface coating apparatus of a wheel hub includes a suspension chain conveyor 1, a spray booth 2, a plurality of spray robots 3, a visual inspection assembly 4, and a PLC controller 5; the spraying machine comprises a hanging chain conveyor 1, a spraying room 2, a plurality of spraying robots 3 and a visual detection assembly 4, which are all connected with a PLC (programmable logic controller) 5; the suspension chain conveyor 1 is arranged in the spraying chamber 2 in a penetrating manner, and a plurality of hanging tools for conveying hubs to be processed are arranged in a sliding manner; the spraying robots 3 are arranged in two rows in the spraying chamber 2, and the two rows of spraying robots 3 are arranged along the conveying direction of the suspension chain conveyor 1 and are oppositely arranged; the PLC controller 5 generates a wheel hub spraying scheme based on user requirements, and controls the spraying robots 3 to carry out coating processing on the wheel hubs conveyed by the suspension chain conveyor 1. Through the setting of the PLC 5, the hub spraying scheme can be accurately and efficiently matched according to the user demands, the custom allocation of paint liquid is realized, the spraying logic of the spraying robot 3 is optimized, the parameter automatic matching setting is realized, the hub surface coating process is simplified, and the effects of effectively improving the hub coating quality and the coating efficiency are achieved.
Referring to fig. 1 and 2, a glass observation wall is arranged at one side of the spraying chamber 2, and the visual detection assembly 4 is arranged on the outer wall of the glass observation wall and faces to the spraying robots 3; the visual detection assembly 4 comprises video acquisition equipment 41 for acquiring spraying processing pictures and an image analysis model 42 for analyzing images in real time, wherein the image analysis model 42 is connected with the video acquisition equipment 41 on the basis of Chat Gtp4.0 as a bottom layer to carry out image analysis training on whether a hanger mounts a hub; the image analysis model 42 identifies the hanger entering the spraying room 2, and when the hanger without the hub mounted reaches the spraying robot 3, sends control instruction information to the spraying robot 3 to control the spraying robot 3 to skip the spraying operation. Because Chat Gtp4.0 has strong image analysis and recognition capability and has strong logic analysis capability, training can be completed only by providing image data of a hanging tool non-mounted photo and a hanging tool mounted hub for recognition training iteration. The spraying logic solidification of the existing spraying robot 3 is fully solved, only spraying operation can be mechanically carried out when the hanger passes through the spraying robot 3, and the phenomenon that paint liquid is wasted and the hanger is seriously polluted is easily caused when the hub on part of the hanger is removed due to various reasons when the hanger passes through the preamble procedure. The image analysis model 42 is constructed on the basis of Chat Gtp4.0 as a bottom layer, so that the image analysis model has an efficient and high-precision image analysis function, real-time analysis of image information in the spraying chamber 2 can be realized, and the spraying robot 3 is controlled to flexibly skip a spraying procedure of an empty hanger. In addition, the Chat Gtp4.0 can be subjected to deep training, so that the hub spraying quality detection function of the Chat Gtp4.0 is improved, and further, the intelligent spraying robot 3 can perform spraying adjustment, supplementary spraying and other operations. Finally, setting the video capturing device 41 outside the glass observation wall can effectively protect the video capturing device 41 from being corroded, polluted and damaged by paint liquid, and the video capturing device 41 in the embodiment can be a device which can be approved to capture image information, such as a high-speed pan-tilt camera, an infrared camera and the like.
Referring to fig. 3, the PLC controller generates a wheel hub spraying scheme based on user requirements, and controls a plurality of spraying robots to perform coating processing on a wheel hub conveyed by a suspension chain conveyor, specifically including the following steps:
s1, obtaining user requirements to generate hub performance requirements, wherein the hub performance requirements comprise at least one of thickness, glossiness, adhesive force, hardness, tensile strength, yield strength, elongation, viscosity, flexibility, water resistance, salt spray resistance and weather resistance;
s2, determining a hub spraying scheme according to hub performance requirements, wherein the hub spraying scheme comprises paint liquid formula information, equipment parameters and production process flow information, and the paint liquid formula information comprises at least one raw material information and configuration process flow information;
s3, paint liquid configuration is carried out according to configuration process flow information: dispatching production personnel and auxiliary equipment according to a hub spraying scheme, configuring paint liquid according to configuration process flow information, and transporting to a spraying robot;
s4, coating the hub: the PLC controller generates a process control instruction based on the production process flow information, sets equipment parameters of the suspension chain conveyor, the spraying room, the spraying robots and the visual detection assembly, and controls the spraying robots to carry out coating processing on the hubs conveyed by the suspension chain conveyor based on the process control instruction. The hub performance requirements are generated based on user requirements, the hub spraying scheme is further accurately matched, the customized configuration of paint liquid and the automatic generation of parameters are realized, the efficient and fine spraying of the hubs entering the spraying room by a plurality of spraying robots is further controlled, the intelligent and automatic spraying is realized, the manual working procedures of the hub surface coating are simplified, the manpower and material resources are saved, and the effects of effectively improving the hub coating quality and the coating efficiency are achieved.
Referring to fig. 4, the method for determining the hub spraying scheme according to the hub performance requirement matching specifically comprises the following steps:
s21, matching determination alternative scheme: according to the hub performance requirements, at least one alternative scheme meeting the hub performance requirements is determined through matching of a preset scheme matching model; the scheme matching model is obtained by training a machine learning model through historical data;
s22, calculating a formula score A of each alternative scheme: calculating a formula score A of each alternative scheme according to a preset formula score formula for the paint liquid formula of each alternative scheme;
s23, generating performance scores B of various alternatives: scoring each alternative scheme based on each performance requirement, and generating a performance score B of each alternative scheme;
s24, generating production scores C of various alternatives: scoring each alternative scheme based on the production condition, and generating a production score C of each alternative scheme;
s25, calculating scheme scores D of all alternative schemes: calculating and determining a scheme score D of each alternative scheme through a preset scheme score formula;
s26, selecting a hub spraying scheme: and sequencing the alternative schemes based on the scheme scores, and selecting the alternative scheme with the highest score value as the hub spraying scheme. Through the setting of the scheme matching model, a plurality of alternative schemes meeting the hub performance requirement are matched and determined, the three aspects of paint liquid formula, coating performance and production condition of each alternative scheme are respectively scored, the accurate calculation scheme scoring of each alternative scheme is realized, the optimal alternative scheme is effectively and accurately screened out to serve as a hub spraying scheme, meanwhile, the user requirement is met, the manual process of hub surface coating is simplified, manpower and material resources are saved, and the hub spraying scheme meeting the user satisfaction is matched for the user based on the actual production condition of the user.
The formula scoring formula preset above specifically comprises:
wherein A is i Scoring the formulation of the ith alternative; s is a preset paint liquid unit cost standard; s is S i Cost per production for the formulation of the ith alternative; n is a preset paint liquid configuration difficulty coefficient standard; n (N) i The configuration difficulty coefficient of the formula of the ith alternative scheme is the higher the configuration difficulty coefficient is; j is a preset paint liquid unit configuration time reference; j (J) i A configuration duration for the formulation of the ith alternative; h is a preset paint liquid environmental protection coefficient standard; h i Environmental factors for the formulation of the ith alternative; x is X 1 Scoring coefficients for preset production cost; x is X 2 Scoring coefficients for preset configuration difficulty; x is X 3 Scoring coefficients for preset configuration duration; x is X 4 The method comprises the steps of scoring a preset environmental protection influence coefficient; and X is 1 、X 2 、X 3 、X 4 Are set by the manager. In addition, the paint liquid environmental protection coefficient is evaluated from three dimensions of the formaldehyde content, the VOC content and the heavy metal content of the paint liquid, and the paint liquid environmental protection judgment related standard is consulted. The paint liquid formula scores of all the alternative schemes are calculated from four dimensions of paint liquid cost, configuration difficulty coefficient, configuration duration and environmental protection influence, the accuracy of the calculation of the paint liquid scores is provided, and the matching accuracy of the hub spraying scheme is improved.
The preset scheme scoring formula specifically comprises the following steps:
Di＝Y 1 *A i +Y 2 *B i +Y 3 *C i ；
wherein D is i Scoring the scheme of the ith alternative scheme; a is that i Scoring the formulation of the ith alternative; v (V) i Performance score for the i < th > alternative; c (C) i Scoring the production of the ith alternative; y is Y 1 Scoring coefficients for the formulation; y is Y 2 Scoring coefficients for performance; y is Y 3 Scoring the production; y is Y 1 、Y 2 And Y 3 Are set by the manager. And scoring is respectively carried out from three aspects of paint liquid formula, coating performance and production condition of each alternative scheme, so that the scheme scoring is accurately calculated for each alternative scheme.
Referring to fig. 5, the scoring of each alternative based on each performance requirement, and generating the performance score B of each alternative specifically includes the following steps:
s231, generating performance sequences of various alternatives: generating a performance sequence based on hub performance requirements for each alternative, the performance sequence comprising at least one of a thickness sequence, a gloss sequence, an adhesion sequence, a hardness sequence, a tensile strength sequence, a yield strength sequence, an elongation sequence, a viscosity sequence, a flexibility sequence, a water resistance sequence, a salt spray resistance sequence, and a weather resistance sequence;
s232, generating sequence scores of various alternatives: generating sequence scores of various alternatives based on a preset sequence score comparison table, wherein the sequence scores comprise one or more of thickness sequence scores, glossiness sequence scores, adhesion sequence scores, hardness sequence scores, tensile strength sequence scores, yield strength sequence scores, elongation sequence scores, viscosity sequence scores, flexibility sequence scores, water resistance sequence scores, salt spray resistance sequence scores and weather resistance sequence scores;
s233, determining a highest priority performance sequence and a second priority performance sequence: acquiring a user performance requirement trend, and determining a highest priority performance sequence and a next priority performance sequence in the performance sequences;
s234, calculating performance scores B of the alternatives: and calculating the performance score B of each alternative scheme through a preset performance score calculation formula based on the sequence scores of the highest priority performance sequence and the secondary priority performance sequence of each alternative scheme. In the aspect of performance scoring, based on performance requirements in the hub performance requirements, a corresponding number of performance sequences are generated, further, the sequence scoring of each alternative scheme in each performance sequence is obtained, the highest priority performance sequence and the secondary priority performance sequence are determined based on user preference, and further, the performance scoring B of each alternative scheme is calculated and determined, so that the performance scoring of each alternative scheme is calculated from the user requirement, scientificity and accuracy are facilitated to calculate through the performance scoring, the hub spraying scheme is accurately and efficiently matched, meanwhile, the user coating trend is considered, the user requirements are met, and the effects of effectively improving the scheme matching accuracy and the user satisfaction are achieved.
The preset performance score calculation formula specifically comprises the following steps:
B i ＝L 1 *Z i +L 2 *V i ；
wherein B is i Performance score for the i < th > alternative; l (L) 1 Scoring coefficients for the highest priority performance sequence; z is Z i Scoring the highest priority performance sequence of the i-th alternative; l (L) 2 Scoring coefficients for the sub-priority performance sequence; v (V) i Sum of the sub-priority performance sequence scores for the i-th alternative; and L is 1 And L 2 Are set by the manager.
Referring to fig. 6, the scoring of each alternative based on the production situation, and generating the production score C of each alternative specifically includes the following steps:
s241, generating a production sequence for each alternative scheme: generating a production cost sequence, a production efficiency sequence and a spraying qualification rate sequence for each alternative scheme based on the production cost, the production efficiency and the spraying qualification rate respectively;
s242, generating production sequence scores of various alternatives: generating a production cost sequence score, a production efficiency sequence score and a spraying qualification rate sequence score of each alternative scheme through a preset sequence score comparison table;
s243, determining a highest priority production sequence and a second priority production sequence: acquiring the production preference tendency of a user, determining one sequence of a production cost sequence, a production efficiency sequence and a spraying qualification rate sequence as a highest priority production sequence, and taking the other two sequences as secondary priority production sequences;
s244, calculating production scores C of all alternatives: calculating the production score C of each alternative scheme through a preset production score calculation formula based on the sequence scores of the highest priority production sequence and the secondary priority production sequence of each alternative scheme. In the aspect of production scoring, from three dimensions of production cost, production efficiency and qualification rate of each alternative scheme, the highest priority production sequence and the next priority production sequence are determined according to user preference, and on the basis of actual production conditions, the production trend requirements of users are considered, so that the accuracy and rationality of production scoring are improved, and the effects of effectively improving scheme matching accuracy and user satisfaction are achieved.
The preset production score calculation formula specifically comprises the following steps:
C i ＝K 1 *M i +K 2 *N i ；
wherein C is i Scoring the production of the ith alternative; k (K) 1 Scoring coefficients for the highest priority production sequences; m is M i Scoring the highest priority production sequence of the i-th alternative; k (K) 2 Production for sub-prioritySequence scoring coefficients; n (N) i Producing a sum of sequence scores for the sub-priorities of the ith alternative; and K is 1 And K 2 Are set by the manager.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the scope of the present application. It will be apparent that the described embodiments are merely some, but not all, embodiments of the application. Based on these embodiments, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort are within the scope of the application. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art may still combine, add or delete features of the embodiments of the present application or make other adjustments according to circumstances without any conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present application, which also falls within the scope of the present application.
Claims (10)
1. The utility model provides a surface coating equipment of wheel hub which characterized in that: comprises a suspension chain conveyor (1), a spraying room (2), a plurality of spraying robots (3), a visual detection component (4) and a PLC (programmable logic controller) controller (5); the spraying device comprises a suspension chain conveyor (1), a spraying room (2), a plurality of spraying robots (3) and a visual detection assembly (4), wherein the spraying robots and the visual detection assembly are connected with a PLC (programmable logic controller) 5; the suspension chain conveyor (1) is arranged in the spraying chamber (2) in a penetrating manner, and a plurality of hanging tools for conveying hubs to be processed are arranged in a sliding manner; the spraying robots (3) are arranged in two rows in the spraying chamber (2), and the two rows of spraying robots (3) are arranged along the conveying direction of the suspension chain conveyor (1) and are oppositely arranged; the PLC (5) generates a wheel hub spraying scheme based on user requirements, and controls the spraying robots (3) to carry out coating processing on the wheel hubs conveyed by the suspension chain conveyor (1).
2. A surface coating apparatus for a hub as set forth in claim 1, wherein: the PLC controller generates a hub spraying scheme based on user requirements, and controls the spraying robots to carry out coating processing on the hub conveyed by the suspension chain conveyor, and the method specifically comprises the following steps of:
obtaining a user demand to generate a hub performance demand, wherein the hub performance demand comprises at least one of thickness, glossiness, adhesive force, hardness, tensile strength, yield strength, elongation, viscosity, flexibility, water resistance, salt spray resistance and weather resistance;
according to the hub performance requirement, a hub spraying scheme is determined in a matching mode, wherein the hub spraying scheme comprises paint liquid formula information, equipment parameters and production process flow information, and the paint liquid formula information comprises at least one raw material information and configuration process flow information;
dispatching production personnel and auxiliary equipment according to a hub spraying scheme, configuring paint liquid according to configuration process flow information, and transporting to a spraying robot;
the PLC controller generates a process control instruction based on the production process flow information, sets equipment parameters of the suspension chain conveyor, the spraying room, the spraying robots and the visual detection assembly, and controls the spraying robots to carry out coating processing on the hubs conveyed by the suspension chain conveyor based on the process control instruction.
3. A surface coating apparatus for a hub as set forth in claim 2, wherein: the hub spraying scheme is determined according to the hub performance requirement matching, and specifically comprises the following steps of:
according to the hub performance requirements, at least one alternative scheme meeting the hub performance requirements is determined through matching of a preset scheme matching model; the scheme matching model is obtained by training a machine learning model through historical data;
calculating a formula score A of each alternative scheme according to a preset formula score formula for the paint liquid formula of each alternative scheme;
scoring each alternative scheme based on each performance requirement, and generating a performance score B of each alternative scheme;
scoring each alternative scheme based on the production condition, and generating a production score C of each alternative scheme;
calculating and determining a scheme score D of each alternative scheme through a preset scheme score formula;
and sequencing the alternative schemes based on the scheme scores, and selecting the alternative scheme with the highest score value as the hub spraying scheme.
4. A surface coating apparatus for a hub as set forth in claim 3, wherein: the preset formula scoring formula specifically comprises the following steps:
wherein A is i Scoring the formulation of the ith alternative; s is a preset paint liquid unit cost standard; s is S i Cost per production for the formulation of the ith alternative; n is a preset paint liquid configuration difficulty coefficient standard; n (N) i The configuration difficulty coefficient of the formula of the ith alternative scheme is the higher the configuration difficulty coefficient is; j is a preset paint liquid unit configuration time reference; j (J) i A configuration duration for the formulation of the ith alternative; h is a preset paint liquid environmental protection coefficient standard; h i Environmental factors for the formulation of the ith alternative; x is X 1 Scoring coefficients for preset production cost; x is X 2 Scoring coefficients for preset configuration difficulty; x is X 3 Scoring coefficients for preset configuration duration; x is X 4 The method comprises the steps of scoring a preset environmental protection influence coefficient; and X is 1 、X 2 、X 3 、X 4 Are set by the manager.
5. A surface coating apparatus for a hub as set forth in claim 3, wherein: the preset scheme scoring formula specifically comprises the following steps:
D i ＝Y 1 *A i +Y 2 *B i +Y 3 *C i ；
wherein D is i Scoring the scheme of the ith alternative scheme; a is that i For the ith alternativeIs a formulation score of (2); b (B) i Performance score for the i < th > alternative; c (C) i Scoring the production of the ith alternative; y is Y 1 Scoring coefficients for the formulation; y is Y 2 Scoring coefficients for performance; y is Y 3 Scoring the production; y is Y 1 、Y 2 And Y 3 Are set by the manager.
6. A surface coating apparatus for a hub as set forth in claim 3, wherein: the scoring of each alternative scheme based on each performance requirement, and the generation of the performance score B of each alternative scheme specifically comprises the following steps:
generating a performance sequence based on hub performance requirements for each alternative, the performance sequence comprising at least one of a thickness sequence, a gloss sequence, an adhesion sequence, a hardness sequence, a tensile strength sequence, a yield strength sequence, an elongation sequence, a viscosity sequence, a flexibility sequence, a water resistance sequence, a salt spray resistance sequence, and a weather resistance sequence;
generating sequence scores of various alternatives based on a preset sequence score comparison table, wherein the sequence scores comprise one or more of thickness sequence scores, glossiness sequence scores, adhesion sequence scores, hardness sequence scores, tensile strength sequence scores, yield strength sequence scores, elongation sequence scores, viscosity sequence scores, flexibility sequence scores, water resistance sequence scores, salt spray resistance sequence scores and weather resistance sequence scores;
acquiring a user performance requirement trend, and determining a highest priority performance sequence and a next priority performance sequence in the performance sequences;
and calculating the performance score B of each alternative scheme through a preset performance score calculation formula based on the sequence scores of the highest priority performance sequence and the secondary priority performance sequence of each alternative scheme.
7. A surface coating apparatus for a hub as set forth in claim 6, wherein: the preset performance score calculation formula specifically comprises the following steps:
B i ＝L 1 *Z i +L 2 *V i ；
wherein B is i Performance score for the i < th > alternative; l (L) 1 Scoring coefficients for the highest priority performance sequence; z is Z i Scoring the highest priority performance sequence of the i-th alternative; l (L) 2 Scoring coefficients for the sub-priority performance sequence; v (V) i Sum of the sub-priority performance sequence scores for the i-th alternative; and L is 1 And L 2 Are set by the manager.
8. A surface coating apparatus for a hub as set forth in claim 3, wherein: the scoring of each alternative scheme based on the production situation, and the generation of the production score C of each alternative scheme specifically comprises the following steps:
generating a production cost sequence, a production efficiency sequence and a spraying qualification rate sequence for each alternative scheme based on the production cost, the production efficiency and the spraying qualification rate respectively;
generating a production cost sequence score, a production efficiency sequence score and a spraying qualification rate sequence score of each alternative scheme through a preset sequence score comparison table;
acquiring the production preference tendency of a user, determining one sequence of a production cost sequence, a production efficiency sequence and a spraying qualification rate sequence as a highest priority production sequence, and taking the other two sequences as secondary priority production sequences;
calculating the production score C of each alternative scheme through a preset production score calculation formula based on the sequence scores of the highest priority production sequence and the secondary priority production sequence of each alternative scheme.
9. A surface coating apparatus for a hub as set forth in claim 8, wherein: the preset production score calculation formula specifically comprises the following steps:
C i ＝K 1 *M i +K 2 *N i ；
wherein C is i Scoring the production of the ith alternative; k (K) 1 At the highestPriority production sequence scoring coefficients; m is M i Scoring the highest priority production sequence of the i-th alternative; k (K) 2 Scoring coefficients for the sub-priority production sequences; n (N) i Producing a sum of sequence scores for the sub-priorities of the ith alternative; and K is 1 And K 2 Are set by the manager.
10. A surface coating apparatus for a hub as set forth in claim 1, wherein: a glass observation wall is arranged on one side of the spraying chamber (2), and the visual detection assembly (4) is arranged on the outer wall of the glass observation wall and faces to the spraying robots (3); the visual detection assembly (4) comprises video acquisition equipment (41) for acquiring spraying processing pictures and an image analysis model (42) for analyzing images in real time, wherein the image analysis model (42) is connected with the video acquisition equipment (41) on the basis of Chat Gtp4.0 as a bottom layer to carry out image analysis training on whether a hanging tool mounts a hub; the image analysis model (42) identifies the hanger entering the spraying room (2), and when the hanger without the hub mounted reaches the spraying robot (3), control instruction information is sent to the spraying robot (3) to control the spraying robot (3) to skip the spraying operation.
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| CN202310689879.4A CN117000484A (en) | 2023-06-12 | 2023-06-12 | Hub surface coating equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117092962A (en) * | 2023-10-19 | 2023-11-21 | 常州市百宏智能科技有限公司 | Numerical control machine tool machining control system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117092962A (en) * | 2023-10-19 | 2023-11-21 | 常州市百宏智能科技有限公司 | Numerical control machine tool machining control system |
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