CN114971310B - Intelligent production line for composite tires - Google Patents
Intelligent production line for composite tires Download PDFInfo
- Publication number
- CN114971310B CN114971310B CN202210606958.XA CN202210606958A CN114971310B CN 114971310 B CN114971310 B CN 114971310B CN 202210606958 A CN202210606958 A CN 202210606958A CN 114971310 B CN114971310 B CN 114971310B
- Authority
- CN
- China
- Prior art keywords
- production
- module
- link
- intelligent
- composite tire
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 189
- 239000002131 composite material Substances 0.000 title claims abstract description 73
- 238000003860 storage Methods 0.000 claims abstract description 36
- 239000002994 raw material Substances 0.000 claims abstract description 13
- 239000000463 material Substances 0.000 claims description 43
- 238000000034 method Methods 0.000 claims description 32
- 239000011159 matrix material Substances 0.000 claims description 26
- 238000012545 processing Methods 0.000 claims description 21
- 239000003292 glue Substances 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 14
- 230000004927 fusion Effects 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 7
- 229920001971 elastomer Polymers 0.000 claims description 7
- 239000005060 rubber Substances 0.000 claims description 7
- 238000000354 decomposition reaction Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 6
- 238000004073 vulcanization Methods 0.000 claims description 5
- 238000002360 preparation method Methods 0.000 claims description 4
- 238000004146 energy storage Methods 0.000 claims description 3
- 238000002156 mixing Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 239000004973 liquid crystal related substance Substances 0.000 claims 2
- 238000010586 diagram Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 239000000047 product Substances 0.000 description 6
- 239000002699 waste material Substances 0.000 description 6
- 238000011835 investigation Methods 0.000 description 5
- 239000011265 semifinished product Substances 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- XEKOWRVHYACXOJ-UHFFFAOYSA-N Ethyl acetate Chemical compound CCOC(C)=O XEKOWRVHYACXOJ-UHFFFAOYSA-N 0.000 description 3
- 229910000831 Steel Inorganic materials 0.000 description 3
- 239000011324 bead Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 238000004513 sizing Methods 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- ZWEHNKRNPOVVGH-UHFFFAOYSA-N 2-Butanone Chemical compound CCC(C)=O ZWEHNKRNPOVVGH-UHFFFAOYSA-N 0.000 description 2
- CSCPPACGZOOCGX-UHFFFAOYSA-N Acetone Chemical compound CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 description 2
- 229920001730 Moisture cure polyurethane Polymers 0.000 description 2
- 230000004075 alteration Effects 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 2
- 150000001875 compounds Chemical class 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 239000011259 mixed solution Substances 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- YRIZYWQGELRKNT-UHFFFAOYSA-N 1,3,5-trichloro-1,3,5-triazinane-2,4,6-trione Chemical compound ClN1C(=O)N(Cl)C(=O)N(Cl)C1=O YRIZYWQGELRKNT-UHFFFAOYSA-N 0.000 description 1
- UXVMQQNJUSDDNG-UHFFFAOYSA-L Calcium chloride Chemical compound [Cl-].[Cl-].[Ca+2] UXVMQQNJUSDDNG-UHFFFAOYSA-L 0.000 description 1
- 244000043261 Hevea brasiliensis Species 0.000 description 1
- 239000004677 Nylon Substances 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 239000000853 adhesive Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- 230000001680 brushing effect Effects 0.000 description 1
- 239000006229 carbon black Substances 0.000 description 1
- 238000005266 casting Methods 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012046 mixed solvent Substances 0.000 description 1
- 229920003052 natural elastomer Polymers 0.000 description 1
- 229920001194 natural rubber Polymers 0.000 description 1
- 229920001778 nylon Polymers 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
- 229920000728 polyester Polymers 0.000 description 1
- 229920003225 polyurethane elastomer Polymers 0.000 description 1
- 238000002203 pretreatment Methods 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 229950009390 symclosene Drugs 0.000 description 1
- 229920003051 synthetic elastomer Polymers 0.000 description 1
- 239000005061 synthetic rubber Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides an intelligent production line of a composite tire, which comprises the following parts: the intelligent control terminal makes a corresponding production plan aiming at the order, gives production tasks to each responsible module according to the production plan, and monitors the whole production; the intelligent execution module defines the total production method of the composite tire according to the production task issued by the intelligent control terminal; the production module is used for controlling each production link of the composite tire production to effectively and orderly run according to the production method defined by the intelligent execution module; the storage module is used for classifying and storing production raw materials of the composite tire, components and articles produced at each stage and controlling and managing each warehouse; and the intelligent logistics module is used for commanding and realizing the allocation and transportation among the articles among all the warehouses. The invention solves the technical problems of lower working efficiency and higher cost in the prior art.
Description
Technical Field
The invention relates to the technical field of tire production, in particular to an intelligent production line of a composite tire.
Background
The tire industry is the most important industry in the rubber product industry in China all the time, and the intelligent development is gradually performed; the composite tyre belongs to the tyre for automobile, and compared with traditional tyre, the pre-treatment process of old tyre is simplified, the production cost is greatly reduced, the waste is effectively utilized, and the consumption of resource and the pollution are reduced.
The invention relates to a compound tire invented by Maren et al, a manufacturing method thereof is 202111486404.2, and the bonding part of a tire body and a casting polyurethane elastomer is polished, cleaned and dried for later use, so as to finish the surface pretreatment of the tire body; preparing a mixed solution of trichloroisocyanuric acid and an acetone/butanone/ethyl acetate mixed solvent treated by anhydrous calcium chloride, and preparing a tread treating agent by adopting the mixed solution and a multi-branch grafting adhesive solution; spraying or brushing the tread treating agent on the prepared tire tread to carry out surface modification treatment; and (3) pouring the tire tread subjected to surface modification treatment by adopting the modified polyurethane prepolymer or the linear polyurethane prepolymer to obtain a composite tire finished product.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology: the working efficiency is lower, the higher technical problem of cost.
Disclosure of Invention
The intelligent production line for the composite tire solves the technical problems of lower working efficiency and higher cost in the prior art by providing the intelligent production line for the composite tire, and achieves the technical effects of higher working efficiency and lower cost.
The invention provides an intelligent production line of a composite tire, which specifically comprises the following technical scheme:
an intelligent production line for composite tires comprises the following parts:
the intelligent logistics system comprises an intelligent control terminal, an intelligent execution module, a production module, a material storage module, a storage module and an intelligent logistics module;
the intelligent control terminal makes a corresponding composite tire production plan aiming at an order, takes down the decomposed tasks of the intelligent execution module to the production module, the storage module and the intelligent logistics module, and monitors the operation of the whole composite tire production line in real time;
the intelligent execution module defines the total production method of the composite tire according to the composite tire production plan formulated by the intelligent control terminal, decomposes tasks and issues the tasks to each module by the intelligent control terminal;
the production module controls each production link of the composite tire production to effectively and orderly run according to the task issued by the intelligent control terminal module;
the storage module is used for storing the production raw materials required by each production link of the production module and producing the rest components, articles and other materials in each production link in a classified manner, and controlling and managing each warehouse;
and the intelligent logistics module directs the allocation and transportation of materials among all the warehouses in the storage module and among all the warehouses and all the production links of the production module according to the tasks issued by the intelligent control terminal module.
The realization method of the intelligent production line of the composite tire comprises the following steps:
s1, defining a production scheduling method to generate a production plan according to order requirements, and defining a total production method of the composite tire according to the production plan;
s2, decomposing the production plan by using a production method, distributing tasks and issuing the tasks to each responsible module;
s3, completing task allocation, starting production in each link, and completing the production task of the composite tire.
Further, the step S1 includes:
after the order is generated, numbering the user to form a user set P, defining a corresponding order parameter set D according to the order quantity, the difficulty and the other related parameters, and determining a user enterprise relationship matrix by constructing a user enterprise relationship model to provide a reference basis for the subsequent cooperation with the user.
Further, the step S1 includes:
when the intelligent control terminal monitors each link of the whole production line, each element in a grading matrix of the order completion process is defined according to the completion degree of each link, and element parameters in the grading matrix are defined as follows:
wherein d i Represents the ith order information, beta j Representing the completion degree of the j-th link;
optionally, the task completion is specifically defined by link task difficulty, efficiency, loss and other related parameters, and the j-th link task completion of the i-th order is specifically defined as follows:
wherein ρ is j Represents the task difficulty, theta of the j-th link j Indicating the working efficiency of the j-th link.
Further, the step S2 includes:
decomposing a production plan formulated by the intelligent control module by utilizing a production method formulated by the intelligent execution module, distributing tasks and issuing the tasks to each responsible module, issuing the tasks to other modules by the intelligent control terminal according to the task decomposition result, and then carrying out corresponding execution processing by each module;
the plan decomposition includes: task arrangement of each link of the production module, task arrangement of the intelligent logistics module, task arrangement of the storage module, monitoring of each production link and task arrangement of other related modules;
the corresponding processing comprises a storage module for storing and managing raw materials, glue parts and finished products; the intelligent logistics module is used for controlling and managing the material conveying required by each production link in the production module, the material conveying among all warehouses in the storage module and other relevant conveying; and the intelligent control terminal monitors the task of the whole production line.
Further, the step S3 includes:
and transporting the materials required by each link to a material platform of each production link through the intelligent logistics module.
Further, the intelligent logistics module adopts an ultra-precision AGV trolley to carry out material transmission;
when the AGV trolley collects two-dimensional code images, gray processing is carried out on the collected two-dimensional code images, and gray processing is carried out on the images by introducing fusion factors and average values, the maximum values and the weighted average values of representative components of the images, so that the precision of the AGV trolley is further improved.
Further, the step S3 includes:
the production module comprises the following links: the method comprises an internal mixing link, a rubber component preparation link, a composite tire forming link, a vulcanization link, a final inspection link and a composite tire testing link;
and the superfluous produced semi-finished product glue parts are sent to corresponding warehouses in the storage modules through the superfluous precision AGV trolley, and the energy storage modules perform unified control and management on the superfluous produced semi-finished product glue parts in each link.
At the beginning of each link, the incoming raw material or object is inspected.
The invention has at least the following technical effects or advantages:
1. according to the invention, the task completion degree of each link is defined to determine each element value in the grading matrix in the order completion process, so that each link can be better evaluated, the whole order is further evaluated, a more accurate user enterprise relation matrix is constructed, the working efficiency is improved, and the cost is reduced.
2. According to the invention, the user enterprise relationship matrix is further determined by constructing the user enterprise relationship model, so that a reference basis is provided for subsequent re-cooperation with the user and task upgrading, the investigation and search time is reduced, and the working efficiency is further improved.
3. According to the invention, the AGV trolley is utilized for material transmission, so that manpower and material resources are greatly saved, and the production labor cost is reduced.
4. According to the invention, the fusion factors are introduced, and the image representing component mean value, the maximum value and the weighted mean value are utilized to carry out gray processing on the image, so that the image outline is clearer, the accuracy of the AGV trolley is improved, and the production efficiency is further improved.
5. According to the intelligent logistics production line, the storage module and the intelligent logistics module are used for effectively connecting production modules and storing redundant materials and glue components, so that the efficiency of the production line is improved, the waste of materials is avoided, the labor cost is reduced, and the intelligent production is realized.
Drawings
FIG. 1 is a system block diagram of a composite tire intelligent production line according to the present invention;
FIG. 2 is a flow chart of an intelligent production line for composite tires according to the present invention.
Detailed Description
The technical scheme in the embodiment of the application aims to solve the technical problems, and the overall thought is as follows:
firstly, defining a production scheduling method to generate a production plan according to order requirements, defining a total production method of the composite tire according to the production plan, and constructing a user enterprise relationship model to determine a user enterprise relationship matrix after the order is generated; decomposing the production plan by using a production method, distributing tasks and issuing the tasks to each responsible module; and the intelligent logistics module starts production of all links required by using the ultra-precision AGV trolley to complete the production task of the composite tire. Each element value in the grading matrix of the order completion process is determined by defining the task completion degree of each link, each link can be better evaluated, the whole order is further evaluated, a more accurate user enterprise relation matrix is constructed, the working efficiency is improved, and the cost is reduced; the user enterprise relation matrix is further determined by constructing the user enterprise relation model, a reference basis is provided for subsequent re-cooperation with the user and task upgrading, investigation and search time is reduced, and working efficiency is further improved; by utilizing the AGV trolley to carry out material transmission, manpower and material resources are greatly saved, and the production labor cost is reduced; the fusion factors are introduced, and the image representing component mean value, the maximum value and the weighted mean value are utilized to carry out gray processing on the image, so that the image outline is clearer, the accuracy of the AGV trolley is improved, and the production efficiency is further improved; carry out effectual connection between to production module through storage module and intelligent commodity circulation module to and the storage of unnecessary material and gluey part, improved the efficiency of production line, avoided the waste of material, reduced labour cost, realized intelligent production.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Referring to fig. 1, an intelligent production line for a composite tire comprises the following parts:
the intelligent logistics system comprises an intelligent control terminal, an intelligent execution module, a production module, a material storage module, a finished product storage module and an intelligent logistics module;
the intelligent control terminal makes a corresponding composite tire production plan according to the order, takes the decomposed tasks of the intelligent execution module to the production module, the storage module and the intelligent logistics module, and monitors the operation of the whole composite tire production line in real time;
the intelligent execution module defines the total production method of the composite tire according to the composite tire production plan formulated by the intelligent control terminal, decomposes tasks and issues the tasks to each module by the intelligent control terminal;
the production module controls each production link of the composite tire production to effectively and orderly run according to the task issued by the intelligent control terminal module;
the storage module is used for storing the production raw materials required by each production link of the production module and producing the rest components, articles and other materials in each production link in a classified manner, and controlling and managing each warehouse;
and the intelligent logistics module commands the allocation and transportation of materials among all the warehouses in the storage module and among all the production links of all the warehouses and the production module according to the tasks issued by the intelligent control terminal module.
Referring to fig. 2, an intelligent production line for composite tires comprises the following steps:
s1, defining a production scheduling method to generate a production plan according to order requirements, and defining a total production method of the composite tire according to the production plan;
s11, according to the order requirements of users, a production plan is formulated, a relation structure network of the users and enterprises is constructed, and a basis is provided for subsequent cooperation;
and (3) defining a production scheduling method by utilizing the intelligent control terminal according to order requirements to make a production plan, and simultaneously giving working parameter quantities to the production plan.
In the invention, the user set P, P= { P is formed by numbering the cooperative users 1 ,p 2 ,…,p N Where N represents the total number of cooperating users, p i Representing the ith user; according toOrder quantity size, difficulty and other related parameters define corresponding order parameter set D, D= { D 1 ,d 2 ,…,d N N represents the total number of orders, d i Representing an ith order parameter;
the user enterprise relation model is constructed as follows:
Mode 1 ＝{P,D,G,C,Out 1 }
wherein P represents a user set, D represents an order parameter set, G represents an order completion process scoring matrix, C represents a user enterprise relationship matrix, and Out 1 Representing the model output.
According to the invention, the user enterprise relationship matrix is further determined by constructing the user enterprise relationship model, so that a reference basis is provided for subsequent re-cooperation with the user and task upgrading, the investigation and search time is reduced, and the working efficiency is further improved.
The order completion process scoring matrix is defined by an intelligent control terminal according to the degree of completion of each link when each link of the whole production line is monitored;
wherein M represents M production links, g ij And the scoring parameter of the jth link of the ith order is defined according to the order parameter set D and the completion degree of each link.
As a specific embodiment, the present invention defines the element parameters in the scoring matrix as:
wherein beta is j Indicating the degree of completion of the j-th link.
Optionally, the task completion is specifically defined by link task difficulty, efficiency, loss and other related parameters, and the j-th link task completion of the i-th order is specifically defined as follows:
wherein ρ is j Represents the task difficulty, theta of the j-th link j Indicating the working efficiency of the j-th link.
According to the invention, the task completion degree of each link is defined to determine each element value in the grading matrix in the order completion process, so that each link can be better evaluated, the whole order is further evaluated, a more accurate user enterprise relation matrix is constructed, the working efficiency is improved, and the cost is reduced.
S12, defining a total production method of the composite tire according to a production plan;
and defining the total production method of the composite tire by the intelligent execution module according to the production plan established by the intelligent control terminal, and simultaneously giving the parameters for starting the operation.
S2, decomposing the production plan by using a production method, distributing tasks and issuing the tasks to each responsible module;
s21, decomposing a production plan according to a defined total production method;
the plan decomposition specifically includes: the system comprises a storage module, a production module, an intelligent logistics module, a storage module, a production module, a storage module, a control module and a control module.
S22, issuing the decomposed tasks to each responsible module;
and according to the task decomposition result, the intelligent control terminal issues the task to each module, and each module performs corresponding execution processing.
The corresponding processing comprises a storage module for storing and managing raw materials, glue parts and finished products; the intelligent logistics module is used for controlling and managing the material conveying required by each production link in the production module, the material conveying among all warehouses in the storage module and other relevant conveying; and the intelligent control terminal monitors the task of the whole production line.
S3, completing task allocation, starting production in each link, and completing the production task of the composite tire.
According to the total production method defined by the intelligent execution module, the production module acquires the responsible tasks by the intelligent logistics module.
S31, after the production module commands each production link to start producing the composite tire according to the received task;
firstly, transporting materials required by each link to a material platform of each production link through an intelligent logistics module;
preferably, in the transportation process, an ultra-precision AGV trolley is adopted for material transmission;
as a specific embodiment, when the two-dimensional code image is acquired by the AGV trolley, firstly, gray processing is performed on the acquired two-dimensional code image, and gray processing is performed on the image by introducing a fusion factor, wherein the fusion factor is defined as:
wherein R is 1 ,R 2 ,R 3 Respectively representing the image average value, the maximum value and the weighted average value gray level processing result; finally, the method comprises the following steps:
according to the invention, the AGV trolley is utilized for material transmission, so that manpower and material resources are greatly saved, and the production labor cost is reduced.
According to the invention, the fusion factors are introduced, and the image representing component mean value, the maximum value and the weighted mean value are utilized to carry out gray processing on the image, so that the image outline is clearer, the accuracy of the AGV trolley is improved, and the production efficiency is further improved.
The production module importantly comprises the following links: the method comprises an internal mixing link, a rubber component preparation link, a composite tire forming link, a vulcanization link, a final inspection link and a composite tire testing link.
In the banburying step, carbon black, natural rubber or synthetic rubber, oil, additives, accelerators and other raw materials are transported to an internal mixer through an ultra-precision AGV trolley, all raw materials are detected, and after the detection is correct, all the raw materials are mixed together and then processed in the internal mixer to produce a sizing material;
preferably, the produced "glue" is sent to the next production link by an ultra-precision AGV trolley.
The glue part preparation link; feeding the compound into an extruder head, so as to extrude different semi-finished glue components: tread, sidewalls/bead and apex and other gum components; then passing the nylon and polyester produced cord through a calender and hanging a layer of thinner sizing on both sides of the cord to form a "cord fabric"; winding a plurality of steel wires after coating rubber to form tire beads; cutting the curtain cloth into suitable width and angle according to the specification of the composite tire and the structural design requirement of the composite tire, and connecting joints; manually attaching the triangular rubber strips extruded by the extruder to the tire beads; in the spindle room, many steel wires come out through the threading board, and then pass through the die plate together with the sizing material to make the two sides of the steel wires glue. Cutting the belted layer into a specified angle and width after rubberizing according to the specification of the composite tire and the requirements of structural design; all the rubber parts are transported to the step of 'composite tire forming' for composite tire forming.
The composite tire forming step is to assemble all semi-finished products into a green tire on a forming machine, wherein the ecology is a composite tire which is not vulcanized; after inspection, the green tyre is transported to a vulcanization link.
In the vulcanization step, the green tire is put on a vulcanizing machine, and proper time and proper conditions are passed in a mold, so that the finished composite tire with a groove on the surface of the tire body is vulcanized.
And in the final inspection step, visual appearance inspection, uniformity detection (completed by a uniformity experiment machine), dynamic balance test (completed by a dynamic balance experiment machine) and final X-ray detection are carried out on the composite tire, and then the composite tire is transported to a finished product warehouse for shipment.
In the composite tire testing link, after the composite tire is formally put into production, the composite tire testing is still carried out to monitor the quality of the composite tire, and the tests are identical to the tests carried out when a new tire is released. The machine used to test the composite tire is a "mileage experiment", which is typically done at high speeds and with durability.
Preferably, the ultra-precision AGV trolley is used for conveying the semi-finished product glue parts produced in excess to corresponding warehouses in the storage module, and the energy storage module is used for uniformly controlling and managing the semi-finished product glue parts produced in excess in each link, so that material waste is avoided.
Preferably, at the beginning of each link, the incoming raw material or object is detected to ensure the normal operation of each link.
According to the intelligent logistics production line, the storage module and the intelligent logistics module are used for effectively connecting production modules and storing redundant materials and glue components, so that the efficiency of the production line is improved, the waste of materials is avoided, the labor cost is reduced, and the intelligent production is realized.
S32, monitoring each production link and feeding back to the intelligent control terminal;
in the production process, the intelligent control terminal monitors the whole production line, so that the whole intelligent production line of the composite tire forms a closed loop, and the highest efficient production is achieved.
Effect investigation:
the technical scheme of the invention can effectively solve the technical problems of lower working efficiency and higher cost, and the system or the method can better evaluate each link by defining the task completion degree of each link to determine each element value in the grading matrix in the order completion process, further evaluate the whole order, construct a more accurate user enterprise relation matrix, improve the working efficiency and reduce the cost; the user enterprise relation matrix is further determined by constructing the user enterprise relation model, a reference basis is provided for subsequent re-cooperation with the user and task upgrading, investigation and search time is reduced, and working efficiency is further improved; by utilizing the AGV trolley to carry out material transmission, manpower and material resources are greatly saved, and the production labor cost is reduced; the fusion factors are introduced, and the image representing component mean value, the maximum value and the weighted mean value are utilized to carry out gray processing on the image, so that the image outline is clearer, the accuracy of the AGV trolley is improved, and the production efficiency is further improved; carry out effectual connection between to production module through storage module and intelligent commodity circulation module to and the storage of unnecessary material and gluey part, improved the efficiency of production line, avoided the waste of material, reduced labour cost, realized intelligent production.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. The intelligent production line of the composite tire is characterized by comprising the following parts:
the intelligent logistics system comprises an intelligent control terminal, an intelligent execution module, a production module, a material storage module, a storage module and an intelligent logistics module;
the intelligent control terminal makes a corresponding composite tire production plan according to the order, takes the decomposed tasks of the intelligent execution module to the production module, the storage module and the intelligent logistics module, and monitors the operation of the whole composite tire production line in real time;
at the intelligent control terminal, a corresponding composite tire production plan is formulated for an order, when the production plan is formulated, a user-enterprise relationship model is constructed to determine a user-enterprise relationship structure network, the user-enterprise relationship structure network is updated in real time, the accuracy of the user-enterprise relationship network is ensured, and a reference basis is provided for subsequent re-cooperation with the user and task upgrading; the user enterprise relation model is constructed as follows:
the order completion process scoring matrix is defined by the intelligent control terminal according to the degree of completion of each link when each link of the whole production line is monitored;
the intelligent execution module defines the total production method of the composite tire according to the composite tire production plan formulated by the intelligent control terminal, decomposes tasks and issues the tasks to each module by the intelligent control terminal;
the production module controls each production link of the composite tire production to effectively and orderly run according to the task issued by the intelligent control terminal module;
the storage module is used for storing the production raw materials required by each production link of the production module and producing the rest components, articles and other materials in each production link in a classified manner, and controlling and managing each warehouse;
and the intelligent logistics module commands the allocation and transportation of materials among all the warehouses in the storage module and among all the production links of all the warehouses and the production module according to the tasks issued by the intelligent control terminal module.
2. The implementation method of the intelligent production line of the composite tire is characterized by comprising the following steps of:
s1, defining a production scheduling method to generate a production plan according to order requirements, and defining a total production method of the composite tire according to the production plan;
s2, decomposing the production plan by using a production method, distributing tasks and issuing the tasks to each responsible module;
s3, completing task allocation, starting production in each link, and completing the production task of the composite tire;
the materials required by each link are transported to a material platform of each production link through an intelligent logistics module; the intelligent logistics module adopts an ultra-precision AGV trolley to carry out material transmission;
when the AGV trolley collects two-dimensional code images, gray processing is carried out on the collected two-dimensional code images, and gray processing is carried out on the images by introducing fusion factors, wherein the fusion factors are defined as:
3. the method for implementing a composite tire intelligent production line according to claim 2, wherein S1 comprises:
after the order is generated, numbering the user to form a user set P, defining a corresponding order parameter set D according to the order quantity, the difficulty and the other related parameters, and determining a user enterprise relationship matrix by constructing a user enterprise relationship model to provide a reference basis for the subsequent cooperation with the user.
4. The method for implementing a composite tire intelligent production line according to claim 2, wherein S1 comprises:
when the intelligent control terminal monitors each link of the whole production line, each element in a grading matrix of the order completion process is defined according to the completion degree of each link, and element parameters in the grading matrix are defined as follows:
the task completion is specifically defined by link task difficulty, efficiency, loss and other related parameters, and the j link task completion of the i order is specifically defined as follows:
5. The method for implementing a composite tire intelligent production line according to claim 2, wherein S2 comprises:
decomposing a production plan formulated by the intelligent control module by utilizing a production method formulated by the intelligent execution module, distributing tasks and issuing the tasks to each responsible module, issuing the tasks to other modules by the intelligent control terminal according to the task decomposition result, and then carrying out corresponding execution processing by each module;
the plan decomposition includes: task arrangement of each link of the production module, task arrangement of the intelligent logistics module, task arrangement of the storage module, monitoring of each production link and task arrangement of other related modules;
the corresponding processing comprises a storage module for storing and managing raw materials, glue parts and finished products; the intelligent logistics module is used for controlling and managing the material conveying required by each production link in the production module, the material conveying among all warehouses in the storage module and other relevant conveying; and the intelligent control terminal monitors the task of the whole production line.
6. The method for implementing a composite tire intelligent production line according to claim 2, wherein S3 comprises:
the production module comprises the following links: the method comprises an internal mixing link, a rubber component preparation link, a composite tire forming link, a vulcanization link, a final inspection link and a composite tire testing link;
the extra-production semi-finished glue components are sent to corresponding warehouses in the storage modules through the ultra-precision AGV trolley, and the energy storage modules are used for carrying out unified control and management on the extra-production semi-finished glue components in each link;
at the beginning of each link, the incoming raw material or object is inspected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210606958.XA CN114971310B (en) | 2022-05-31 | 2022-05-31 | Intelligent production line for composite tires |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210606958.XA CN114971310B (en) | 2022-05-31 | 2022-05-31 | Intelligent production line for composite tires |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114971310A CN114971310A (en) | 2022-08-30 |
| CN114971310B true CN114971310B (en) | 2023-07-04 |
Family
ID=82957308
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210606958.XA Active CN114971310B (en) | 2022-05-31 | 2022-05-31 | Intelligent production line for composite tires |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114971310B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140091170A (en) * | 2013-01-10 | 2014-07-21 | 주식회사 마루테크 | Intelligent video monitoring system and method |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105550836A (en) * | 2015-11-03 | 2016-05-04 | 武汉宝钢华中贸易有限公司 | Automatic production scheduling optimization management information model based on big data analysis and processing technology |
| CN109102191B (en) * | 2018-08-15 | 2021-11-02 | 中国人民解放军海军航空大学 | Production planning, scheduling and scheduling method for tire manufacturing enterprise |
| NL2021726B1 (en) * | 2018-09-28 | 2020-05-07 | Milgro Groep B V | Method of recircling |
| CN112884419A (en) * | 2021-03-31 | 2021-06-01 | 广东汇芯半导体有限公司 | Management system of intelligent power module production workshop |
-
2022
- 2022-05-31 CN CN202210606958.XA patent/CN114971310B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140091170A (en) * | 2013-01-10 | 2014-07-21 | 주식회사 마루테크 | Intelligent video monitoring system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114971310A (en) | 2022-08-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109102191B (en) | Production planning, scheduling and scheduling method for tire manufacturing enterprise | |
| Aljuneidi et al. | A mathematical model for designing reconfigurable cellular hybrid manufacturing-remanufacturing systems | |
| CN102909844B (en) | Production method for injection molding machine workpiece production line | |
| WO2019196234A1 (en) | Brand-new mode of manufacturing tire intelligently in entire process | |
| CN102540997B (en) | Tire vulcanization production control system and operative plan execution method | |
| CN1760902A (en) | Method for optimizing scheduling system by technical imitaitng real flow | |
| CN110751411B (en) | Cloud manufacturing task oriented manufacturing resource matching method | |
| CN111476466B (en) | Digital workshop electric energy management research method based on context awareness | |
| CN112907156A (en) | Rubber plug production discharge method and device | |
| CN114971310B (en) | Intelligent production line for composite tires | |
| CN114186791A (en) | Multi-model small-batch-oriented dynamic scheduling method for debugging production of complex equipment products | |
| CN109872038A (en) | A kind of manufacture executes Visualized management system and method | |
| Knapčíková et al. | Using a discrete event simulation as an effective method applied in the production of recycled material | |
| KR20120133531A (en) | Information management system for tyre manufacturing process | |
| CN110597718A (en) | Automatic test implementation method and system based on AI | |
| CN109447428A (en) | The determination method, apparatus and intelligent terminal of vehicle production line sequence scheduled production | |
| CN117452889A (en) | Intelligent tire equipment platform system and control method | |
| CN102173069A (en) | Radial tire full-automatic flexible production method (TRS) | |
| CN109636021B (en) | Task reliability oriented manufacturing system selective maintenance decision method | |
| CN104325571A (en) | Method for online predication of dispersion of mixed compound in rubber open mill | |
| CN108828942A (en) | The Optimization Scheduling of vulcanization process in a kind of production of rubber tyre | |
| CN113978003A (en) | Tire production method, device, server and storage medium | |
| CN108133261B (en) | Automobile rubber hose mandrel quality evaluation method based on BP neural network | |
| CN109624187A (en) | A kind of quality control method of memory foam foaming process | |
| Zhou | Design of manufacturing execution system in tire enterprises |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |