CN116880391A - Full-automatic coating machine and operation system - Google Patents
Full-automatic coating machine and operation system Download PDFInfo
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- CN116880391A CN116880391A CN202310853336.1A CN202310853336A CN116880391A CN 116880391 A CN116880391 A CN 116880391A CN 202310853336 A CN202310853336 A CN 202310853336A CN 116880391 A CN116880391 A CN 116880391A
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- 238000000576 coating method Methods 0.000 title claims abstract description 122
- 239000011248 coating agent Substances 0.000 title claims abstract description 121
- 239000000463 material Substances 0.000 claims abstract description 35
- 238000004519 manufacturing process Methods 0.000 claims abstract description 19
- 238000006073 displacement reaction Methods 0.000 claims abstract description 10
- 238000007599 discharging Methods 0.000 claims description 39
- 238000007689 inspection Methods 0.000 claims description 38
- 239000003292 glue Substances 0.000 claims description 31
- 239000002994 raw material Substances 0.000 claims description 18
- 238000005259 measurement Methods 0.000 claims description 9
- 238000013433 optimization analysis Methods 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 3
- 238000009529 body temperature measurement Methods 0.000 claims description 2
- 239000000284 extract Substances 0.000 claims description 2
- 238000004148 unit process Methods 0.000 claims description 2
- 238000012797 qualification Methods 0.000 claims 3
- 238000005457 optimization Methods 0.000 abstract description 9
- 238000013135 deep learning Methods 0.000 abstract description 4
- 230000001419 dependent effect Effects 0.000 abstract description 2
- 239000000758 substrate Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000000976 ink Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C—APPARATUS FOR APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C11/00—Component parts, details or accessories not specifically provided for in groups B05C1/00 - B05C9/00
- B05C11/10—Storage, supply or control of liquid or other fluent material; Recovery of excess liquid or other fluent material
- B05C11/1002—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves
- B05C11/1005—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves responsive to condition of liquid or other fluent material already applied to the surface, e.g. coating thickness, weight or pattern
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C—APPARATUS FOR APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C11/00—Component parts, details or accessories not specifically provided for in groups B05C1/00 - B05C9/00
- B05C11/10—Storage, supply or control of liquid or other fluent material; Recovery of excess liquid or other fluent material
- B05C11/1002—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves
- B05C11/1015—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves responsive to a conditions of ambient medium or target, e.g. humidity, temperature ; responsive to position or movement of the coating head relative to the target
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Coating Apparatus (AREA)
Abstract
The application relates to the field of control of coating machines, and aims to solve the problem that control parameters of the coating machines are too dependent on manual determination during production and are easy to cause control errors, in particular to a full-automatic coating machine and an operation system; according to the application, the base data can be identified and recorded by adopting the self-identification base material feeding mode and taking the data detected in the displacement sensor in the coating machine equipment as the base data, the base data is taken as the base material size judging data, the operation parameters of the coating machine are combined with the base material size data, the actual relevant operation parameters of the coating machine are directly calculated and obtained, the error phenomenon which can occur when the parameters are manually input is avoided, and the continuous optimization system automatically judges the precision degree of the production parameters in the production process through the feedback optimization cycle, so that the system can perform deep learning in continuous operation, experience is accumulated, and the accuracy of the system in the operation of the control coating machine is further ensured.
Description
Technical Field
The application relates to the field of coater control, in particular to a full-automatic coating coater and an operation system.
Background
The coating machine is mainly used for the surface coating process production of films, papers and the like, the machine is characterized in that a layer of glue, paint or ink with specific functions is coated on a coiled base material, and the coiled base material is cut into pieces or coiled after being dried, the special multifunctional coating head is adopted, the surface coating production in various forms can be realized, the coiling and uncoiling of the coating machine are all provided with a full-speed automatic film receiving mechanism, the PLC program tension is controlled in a closed loop and the coating machine is mainly divided into brush type coating, scraper type coating, roller type coating and spray coating;
at present, the coating machine in the prior art still has the defect that the production parameters of most coating machines are manually controlled, so that the control parameters depend on manual experience too, the condition of imperfect parameter control easily occurs in production, the product quality is reduced, the defective loss during the production of the product is increased, and the high-efficiency and economic production of enterprises is not facilitated;
the application provides a solution to the technical problem.
Disclosure of Invention
According to the application, the base data can be identified and recorded by adopting the self-identification base material feeding mode and taking the data detected in the displacement sensor in the coater equipment as the base data, the base data is taken as the base material size judging data, the operation parameters of the coater are combined with the base material size data, the actual relevant operation parameters of the coater are directly calculated and acquired, the manual input operation parameter mode in the traditional mode is abandoned, the error phenomenon which can occur when the parameters are manually input is avoided, the yield is improved, and the continuous optimization system automatically judges the precision degree of the production parameters in the production process through feedback optimization circulation, so that the system can deeply learn in continuous operation, experience is accumulated, the accuracy of the system in operation control of the coater is further ensured, the problem that the control parameters are excessively dependent on manual determination in production and are easy to cause control errors is solved.
The aim of the application can be achieved by the following technical scheme: the full-automatic coating machine comprises a feeding acquisition unit, an operation analysis unit, a coating machine control unit, a discharging feedback unit and an optimization analysis unit, wherein the feeding acquisition unit is used for acquiring feeding information of the coating machine, the acquired feeding information comprises feeding length, feeding speed and feeding thickness, and the feeding acquisition unit sends the feeding information to the operation analysis unit;
the operation analysis unit acquires and analyzes the feeding information, generates a coater control signal according to an analysis result, and sends the coater control signal to the coater control unit;
the coater control unit executes the coater control signal, generates an execution reinspection signal and sends the execution reinspection signal to the discharge feedback unit;
the discharging feedback unit is used for carrying out quality inspection on a finished product of a discharging port of the coating machine after receiving the re-inspection executing signal, generating a signal according to the quality inspection result and sending the quality inspection signal to the optimizing and analyzing unit;
the optimizing and analyzing unit processes the quality inspection and analyzing result after obtaining the quality inspection and analyzing result, obtains an operation optimizing signal and sends the operation optimizing signal to the operation analyzing unit, and the operation analyzing unit optimizes the feeding information analyzing process according to the operation optimizing signal after obtaining the operation optimizing signal.
As a preferred embodiment of the present application, the feeding collection unit obtains the cross width of the fed raw material by the distance sensor, generates the feeding length according to the cross width, obtains the thickness data of the raw material fed into the coater by the contact sensor, generates the feeding thickness according to the thickness data, performs fixed-point measurement on the raw material fed into the coater by the displacement sensor, calculates the displacement speed of the raw material fed into the coater according to the point interval between the two measurements, and generates the feeding speed.
As a preferred embodiment of the present application, after the operation analysis unit obtains the feeding information, according to the feeding crossing width in the feeding information, the glue outlet amount of the glue head corresponding to the feeding crossing width in the preset glue outlet amount database is obtained, and a glue outlet control signal is generated according to the glue outlet amount of the glue head;
after the operation analysis unit obtains the feeding thickness, comparing the feeding thickness with the feeding thickness in a preset feeding thickness database, obtaining the coating tension corresponding to the current feeding thickness, and generating a coating tension control signal;
the operation analysis unit obtains the feeding speed of the coating machine, compares the feeding speed with the feeding speed in a preset feeding speed database, obtains the coating temperature corresponding to the current feeding speed, and generates a coating temperature control signal, wherein the glue outlet control signal, the coating tension control signal and the coating temperature control signal all belong to the control signal of the coating machine.
As a preferred embodiment of the application, after receiving the signal of executing the re-inspection, the discharging feedback unit performs quality inspection on the discharging temperature, the coating coverage rate and the integrity of the raw materials at the outlet of the coating machine, wherein the quality inspection on the discharging temperature is completed through an infrared temperature measuring device, the measurement on the coating coverage rate is completed through a linear scanning device, and the quality inspection on the integrity of the raw materials is performed through a camera device;
after the discharging feedback unit obtains the discharging temperature, comparing the discharging temperature with a preset discharging temperature, if the discharging temperature is within a preset discharging temperature range, generating a temperature qualified signal, and if the discharging temperature is outside the preset discharging temperature range, generating a temperature unqualified signal;
after the discharging feedback unit obtains the coating coverage rate, comparing the coating coverage rate with a preset coating coverage rate threshold value, if the coating coverage rate is smaller than the preset coating coverage rate threshold value, generating a glue yield unqualified signal, and if the coating coverage rate is larger than or equal to the preset coating coverage rate threshold value, generating a glue yield qualified signal;
after the material integrity is obtained by the material discharging feedback unit, the material integrity is compared with a preset material integrity threshold value, if the material integrity is smaller than the preset material integrity threshold value, a coating roller tension unqualified signal is generated, and if the material integrity is larger than or equal to the preset material integrity threshold value, a coating roller tension qualified signal is generated.
As a preferred embodiment of the present application, the temperature pass signal, the temperature fail signal, the glue yield pass signal, the coating roll tension fail signal, and the coating roll tension pass signal all belong to quality inspection signals.
As a preferred embodiment of the present application, after the optimizing and analyzing unit obtains the quality inspection signal, the optimizing and analyzing unit extracts the unqualified signal in the quality inspection signal, and sends the unqualified signal to the operation and analyzing unit, and after the operation and analyzing unit obtains the unqualified signal, the operation and analyzing unit obtains the corresponding coater control signal during production according to the unqualified signal, and modifies specific parameters in the coater control signal.
Compared with the prior art, the application has the beneficial effects that:
1. in the application, when the coating machine is controlled, the basic data can be identified and recorded by adopting an autonomously identified substrate feeding mode and taking the data detected in a displacement sensor in coating machine equipment as the basic data, the basic data is taken as the judgment data of the substrate size, the operation parameters of the coating machine are combined with the substrate size data, and the actual related operation parameters of the coating machine are directly calculated and obtained, so that compared with the operation mode of the traditional coating machine: the manual operation parameter input mode in the traditional mode is abandoned, the mode of combining automatic identification and data feedback is adopted, different use requirements are met, meanwhile, the error phenomenon which can occur when the parameters are manually input is avoided, and the yield is improved.
2. According to the application, through feedback optimization circulation, the continuous optimization system automatically judges the precision degree of production parameters in the production process, so that the system can perform deep learning in continuous operation, experience is accumulated, and the accuracy degree of the system in the operation of controlling the coating machine is further ensured.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a system block diagram of the present application;
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiment one:
referring to fig. 1, a full-automatic coating machine and an operation system thereof, which comprises a feeding acquisition unit, an operation analysis unit, a coating machine control unit, a discharging feedback unit and an optimization analysis unit, wherein the feeding acquisition unit is used for acquiring feeding information of the coating machine, the acquired feeding information comprises a feeding length, a feeding speed and a feeding thickness, when the feeding acquisition unit acquires the feeding information, a spanning width of an entered raw material is acquired through a distance sensor, the feeding length is generated according to the spanning width, thickness data of the raw material entering the coating machine is acquired through a contact sensor, the feeding thickness is generated according to the thickness data, the raw material entering the coating machine is subjected to fixed-point measurement through a displacement sensor, the displacement speed of the raw material entering the coating machine is calculated according to a point interval between two measurements, the feeding speed is generated, and the feeding acquisition unit sends the feeding information to the operation analysis unit;
after the feeding information is acquired by the operation analysis unit, acquiring a glue outlet quantity of the glue head corresponding to the feeding crossing width in a preset glue outlet quantity database according to the feeding crossing width in the feeding information, and generating a glue outlet control signal according to the glue outlet quantity of the glue head;
after the operation analysis unit obtains the feeding thickness, comparing the feeding thickness with the feeding thickness in a preset feeding thickness database, obtaining the coating tension corresponding to the current feeding thickness, and generating a coating tension control signal;
the operation analysis unit obtains the feeding speed of the coating machine, compares the feeding speed with the feeding speed in a preset feeding speed database, obtains the coating temperature corresponding to the current feeding speed, and generates a coating temperature control signal, wherein the glue outlet control signal, the coating tension control signal and the coating temperature control signal belong to the control signal of the coating machine, and sends the control signal of the coating machine to the control unit of the coating machine;
the coater control unit executes the coater control signal, generates an execution reinspection signal and sends the execution reinspection signal to the discharge feedback unit;
embodiment two:
referring to fig. 1, after receiving a signal for performing the re-inspection, a discharge feedback unit performs quality inspection on a finished product at a discharge port of a coating machine, generates a signal according to a quality inspection result, and sends the quality inspection signal to an optimization analysis unit, wherein the discharge feedback unit performs quality inspection on discharge temperature, coating coverage rate and raw material integrity at an outlet of the coating machine, the quality inspection on the discharge temperature is completed through an infrared temperature measurement device, the measurement on the coating coverage rate is completed through a linear scanning device, and the quality inspection on the raw material integrity is performed through a camera device;
after the discharging feedback unit obtains the discharging temperature, comparing the discharging temperature with a preset discharging temperature, if the discharging temperature is within a preset discharging temperature range, generating a temperature qualified signal, and if the discharging temperature is outside the preset discharging temperature range, generating a temperature unqualified signal;
after the coating coverage rate is obtained by the discharging feedback unit, comparing the coating coverage rate with a preset coating coverage rate threshold value, if the coating coverage rate is smaller than the preset coating coverage rate threshold value, generating a glue yield unqualified signal, and if the coating coverage rate is larger than or equal to the preset coating coverage rate threshold value, generating a glue yield qualified signal;
after the material integrity is obtained by the material discharging feedback unit, comparing the material integrity with a preset material integrity threshold, if the material integrity is smaller than the preset material integrity threshold, generating a coating roller tension unqualified signal, and if the material integrity is larger than or equal to the preset material integrity threshold, generating a coating roller tension qualified signal, wherein the temperature qualified signal, the temperature unqualified signal, the glue yield qualified signal, the coating roller tension unqualified signal and the coating roller tension qualified signal all belong to quality inspection signals;
the quality inspection analysis result is processed by the optimization analysis unit after the quality inspection analysis result is obtained, the unqualified signals in the quality inspection signals are extracted by the optimization analysis unit after the quality inspection signals are obtained, the unqualified signals are sent to the operation analysis unit, the corresponding coater control signals during production are obtained according to the unqualified signals after the unqualified signals are obtained by the operation analysis unit, specific parameters in the coater control signals are modified, optimization of the feeding information analysis process is achieved, deep learning can be conducted in continuous operation of the coater control system, experience is accumulated, and accuracy of the system in operation of controlling the coater is further guaranteed.
According to the application, the base data can be identified and recorded by adopting the self-identification base material feeding mode and taking the data detected in the displacement sensor in the coating machine equipment as the base data, the base data is taken as the base material size judging data, the operation parameters of the coating machine are combined with the base material size data, the actual relevant operation parameters of the coating machine are directly calculated and obtained, different use requirements are met by discarding the manual input operation parameter mode in the traditional mode, the error phenomenon which can occur when the parameters are manually input is avoided, the yield is improved, and the precision degree of the continuous optimization system in the production process automatically judges the production parameters is improved through feedback optimization circulation, so that the system can perform deep learning in continuous operation, experience is accumulated, and the accuracy of the system in the operation of the control coating machine is further ensured.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The full-automatic coating coater and the operation system are characterized by comprising a feeding acquisition unit, an operation analysis unit, a coater control unit, a discharge feedback unit and an optimization analysis unit, wherein the feeding acquisition unit is used for acquiring feeding information of the coater, the acquired feeding information comprises feeding length, feeding speed and feeding thickness, and the feeding acquisition unit sends the feeding information to the operation analysis unit;
the operation analysis unit acquires and analyzes the feeding information, generates a coater control signal according to an analysis result, and sends the coater control signal to the coater control unit;
the coater control unit executes the coater control signal, generates an execution reinspection signal and sends the execution reinspection signal to the discharge feedback unit;
the discharging feedback unit is used for carrying out quality inspection on a finished product of a discharging port of the coating machine after receiving the re-inspection executing signal, generating a signal according to the quality inspection result and sending the quality inspection signal to the optimizing and analyzing unit;
the optimizing and analyzing unit processes the quality inspection and analyzing result after obtaining the quality inspection and analyzing result, obtains an operation optimizing signal and sends the operation optimizing signal to the operation analyzing unit, and the operation analyzing unit optimizes the feeding information analyzing process according to the operation optimizing signal after obtaining the operation optimizing signal.
2. The full-automatic coating machine and the operation system according to claim 1, wherein the feed acquisition unit acquires the crossing width of the fed raw material through the distance sensor, generates the feed length according to the crossing width, acquires the thickness data of the raw material fed into the coating machine through the contact sensor, generates the feed thickness according to the thickness data, performs fixed-point measurement on the raw material fed into the coating machine through the displacement sensor, calculates the displacement speed of the raw material fed into the coating machine according to the point interval between the two measurements, and generates the feed speed.
3. The full-automatic coating machine and the operation system according to claim 1, wherein after the operation analysis unit obtains the feeding information, the glue outlet amount of the glue head corresponding to the feeding crossing width in the preset glue outlet amount database is obtained according to the feeding crossing width in the feeding information, and a glue outlet control signal is generated according to the glue outlet amount of the glue head;
after the operation analysis unit obtains the feeding thickness, comparing the feeding thickness with the feeding thickness in a preset feeding thickness database, obtaining the coating tension corresponding to the current feeding thickness, and generating a coating tension control signal;
the operation analysis unit obtains the feeding speed of the coating machine, compares the feeding speed with the feeding speed in a preset feeding speed database, obtains the coating temperature corresponding to the current feeding speed, and generates a coating temperature control signal, wherein the glue outlet control signal, the coating tension control signal and the coating temperature control signal all belong to the control signal of the coating machine.
4. The full-automatic coating machine and the operation system according to claim 3, wherein after receiving the re-inspection execution signal, the discharge feedback unit performs quality inspection on the discharge temperature, the coating coverage rate and the raw material integrity at the outlet of the coating machine, wherein the quality inspection on the discharge temperature is completed through an infrared temperature measurement device, the measurement on the coating coverage rate is completed through a linear scanning device, and the quality inspection on the raw material integrity is performed through a camera device;
after the discharging feedback unit obtains the discharging temperature, comparing the discharging temperature with a preset discharging temperature, if the discharging temperature is within a preset discharging temperature range, generating a temperature qualified signal, and if the discharging temperature is outside the preset discharging temperature range, generating a temperature unqualified signal;
after the discharging feedback unit obtains the coating coverage rate, comparing the coating coverage rate with a preset coating coverage rate threshold value, if the coating coverage rate is smaller than the preset coating coverage rate threshold value, generating a glue yield unqualified signal, and if the coating coverage rate is larger than or equal to the preset coating coverage rate threshold value, generating a glue yield qualified signal;
after the material integrity is obtained by the material discharging feedback unit, the material integrity is compared with a preset material integrity threshold value, if the material integrity is smaller than the preset material integrity threshold value, a coating roller tension unqualified signal is generated, and if the material integrity is larger than or equal to the preset material integrity threshold value, a coating roller tension qualified signal is generated.
5. The full-automatic coating machine and the operation system according to claim 4, wherein the temperature qualification signal, the temperature failure signal, the glue yield qualification signal, the coating roller tension failure signal and the coating roller tension qualification signal all belong to quality inspection signals.
6. The full-automatic coating machine and the operation system according to claim 1, wherein the optimization analysis unit extracts a reject signal in the quality inspection signal after acquiring the quality inspection signal, and sends the reject signal to the operation analysis unit, and the operation analysis unit acquires a corresponding coating machine control signal during production according to the reject signal after acquiring the reject signal, and modifies specific parameters in the coating machine control signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310853336.1A CN116880391A (en) | 2023-07-12 | 2023-07-12 | Full-automatic coating machine and operation system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310853336.1A CN116880391A (en) | 2023-07-12 | 2023-07-12 | Full-automatic coating machine and operation system |
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| CN116880391A true CN116880391A (en) | 2023-10-13 |
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| CN202310853336.1A Pending CN116880391A (en) | 2023-07-12 | 2023-07-12 | Full-automatic coating machine and operation system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117148809A (en) * | 2023-10-31 | 2023-12-01 | 南通中奥车用新材料有限公司 | Process optimization method and system for artificial leather production equipment |
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2023
- 2023-07-12 CN CN202310853336.1A patent/CN116880391A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117148809A (en) * | 2023-10-31 | 2023-12-01 | 南通中奥车用新材料有限公司 | Process optimization method and system for artificial leather production equipment |
| CN117148809B (en) * | 2023-10-31 | 2023-12-29 | 南通中奥车用新材料有限公司 | Process optimization method and system for artificial leather production equipment |
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