CN115525037A - Intelligent field workshop management method - Google Patents
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- G—PHYSICS
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- 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]
- G05B19/4185—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 the network communication
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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
- G05B2219/00—Program-control systems
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Abstract
The invention relates to the technical field of workshop management methods, and discloses an intelligent on-site workshop management method, which comprises the following working steps: the first step is as follows: designing and arranging the whole intelligent factory; the second step is that: establishing a manufacturing execution system of a factory; the third step: establishing an environment-friendly production safety monitoring system; the fourth step: and building a network architecture of a factory internal production system and the like. The intelligent field workshop management method comprises the following steps: designing and arranging the whole intelligent factory; the second step is that: establishing a manufacturing execution system of a factory; the third step: the invention improves the overall management efficiency of the field workshop, and realizes intellectualization and scientification in the real sense based on the development of the current era.
Description
Technical Field
The invention relates to the technical field of workshop management methods, in particular to an intelligent on-site workshop management method.
Background
With the continuous development of the current industry, the development requirements of the current-generation industry and factories can be compounded by the aid of application, penetration and fusion of information technologies in various links such as product research and development, production process control, operation management, marketing circulation and the like in order to promote comprehensively, intelligent manufacturing development in the whole market is accelerated, and the core competitiveness of the industry is improved. The factory workshop in the prior art can not realize relatively centralized and comprehensive intelligent management, so that the coordination among all links and parts in the factory workshop is relatively weak, and the overall operation efficiency of the workshop is improved.
Therefore, an intelligent field workshop management method is provided.
Disclosure of Invention
The invention mainly solves the technical problems in the prior art and provides an intelligent field workshop management method.
In order to achieve the purpose, the invention adopts the following technical scheme that the intelligent field workshop management method comprises the following working steps:
the first step is as follows: designing and arranging the whole factory intelligently;
the second step: establishing a manufacturing execution system of a factory;
the third step: establishing an environment-friendly production safety monitoring system;
the fourth step: building a network architecture of a factory internal production system;
the fifth step: and establishing and perfecting a network collaborative manufacturing mode.
Preferably, in the first step, a digital model is required to be established for overall design, process flow and layout of a factory, analog simulation is carried out, planning, production and operation full-flow digital management is realized, product and process design and simulation are carried out by applying digital three-dimensional design and process technology, verification and optimization are carried out through physical detection and tests, wherein interconnection and high integration of key technical equipment such as a numerical control machine tool, an industrial robot, intelligent sensing and control equipment, intelligent detection and assembly equipment, intelligent logistics and warehouse storage equipment and the like in production management and control are required, a production process data acquisition and analysis system is further established in the first step, production field data such as production progress, field operation, quality inspection, equipment state, material transmission and the like are fully acquired, and visual management is realized.
Preferably, the second step of establishing a factory manufacturing execution system can realize the whole-process closed-loop management of planning, scheduling, quality, equipment, production and energy efficiency, and the second step of establishing an enterprise resource planning system can realize the optimization of enterprise operation management such as supply chain, logistics, cost and the like.
Preferably, the third step specifically includes, for projects with higher safety risks and pollution emission, realizing automatic detection and monitoring of toxic and harmful substance emission and hazard sources and omnibearing monitoring of safety production, and establishing an online emergency command linkage system.
Preferably, a network architecture of a factory internal production system is built in the fourth step, efficient cooperation and integration among various links such as process, production, inspection and logistics, a data acquisition system, a monitoring system, a manufacturing execution system and an enterprise resource planning system are realized, and a full-life-cycle data unified platform is built;
and the fourth step also comprises establishing an intelligent factory information safety management system and a technical protection system, having information safety guarantee capabilities of network protection, emergency response and the like, establishing a functional safety protection system, and effectively avoiding system failure by adopting a full life cycle method.
Preferably, the fifth step specifically includes the following steps:
s501, establishing an intelligent factory Internet network manufacturing resource collaborative cloud platform which has a perfect system architecture and corresponding operation rules;
s502, realizing integration and butt joint of innovative resources and design capacity through the cooperation of an intelligent inter-factory research and development system;
s503, realizing the integration and butt joint of production capacity and service capacity, and the parallel organization and collaborative optimization of each link and a supply chain in the manufacturing process through the cooperation of an intelligent inter-factory management system and a service support system;
s504, establishing a product traceability system cooperatively shared around a whole production chain by utilizing technologies such as industrial cloud, industrial big data, industrial internet identification analysis and the like, and realizing information traceability service covering links such as product production, manufacturing, operation and maintenance service and the like among enterprises;
and S505, aiming at the manufacturing demand and the social manufacturing resources, carrying out dynamic analysis and flexible configuration of manufacturing services and resources.
Preferably, the method further comprises a sixth step of an intelligent factory personalized customization mode, wherein the method specifically comprises the following steps: the intelligent factory products adopt a modular design and are combined to form personalized products through differentiated customized parameters; an intelligent factory internet personalized customization service platform is built, and deep interaction with a user is realized through modes of customization parameter selection, three-dimensional digital modeling, virtual reality or augmented reality and the like, so that a product customization scheme is generated quickly; establishing an intelligent factory personalized product database, and mining and analyzing personalized demand characteristics of a user by applying a big data technology; the industrial internet personalized customization platform realizes collaboration and integration with digital manufacturing systems of enterprise research and development design, planning and scheduling, flexible manufacturing, marketing management, supply chain management, logistics distribution, after-sales service and the like.
Preferably, the method further comprises a seventh step of operating and maintaining the intelligent factory remotely.
Preferably, the intelligent plant remote operation and maintenance service mode specifically includes the following steps:
s701, configuring an open data interface for intelligent equipment/products in an intelligent factory, having the functions of data acquisition, communication, remote control and the like, acquiring and uploading data such as equipment states, operation operations, environmental conditions and the like by using an industrial internet supporting technologies such as IPv4 and IPv6, and flexibly adjusting equipment operation parameters according to remote instructions;
s702, establishing an intelligent equipment/product remote operation and maintenance service platform in an intelligent factory, effectively screening, carding, storing and managing equipment/product uploaded data, and providing services such as online detection, fault early warning, fault diagnosis and repair, predictive maintenance, operation optimization, remote upgrade and the like through data mining and analysis;
s703, realizing the cooperation and integration of the intelligent equipment/product remote operation and maintenance service platform in the intelligent factory with a product full-life cycle management system, a customer relationship management system and a product research and development management system;
s704, establishing an expert database and an expert consultation system of a corresponding intelligent factory, providing decision support for remote diagnosis of intelligent equipment/products, and providing an operation maintenance solution for a user;
s705, establishing an information security management system of the intelligent factory, and having information security protection capability.
Advantageous effects
The invention provides an intelligent field workshop management method. The method has the following beneficial effects:
(1) The intelligent field workshop management method comprises the following steps: designing and arranging the whole factory intelligently; the second step is that: establishing a manufacturing execution system of a factory; the third step: establishing an environment-friendly production safety monitoring system; the fourth step: building a network architecture of a factory internal production system; the fifth step: the invention relates to a method for managing a field workshop, which comprises the steps of building and perfecting a network collaborative manufacturing mode, further comprising a sixth step of intelligent factory personalized customization mode and a seventh step of intelligent factory remote operation and maintenance service mode, so that the management of the intelligent field workshop of the invention is from the intelligent design of an intelligent factory to the design of an internal operation system, a frame structure and the like until the final operation, management, improvement and the like.
(2) The invention relates to an intelligent field workshop management method, which comprises the steps of establishing a digital model for the overall design, process flow and layout of a factory, carrying out analog simulation, realizing planning, production and operation full-flow digital management, carrying out product, process design and simulation by applying digital three-dimensional design and process technology, and carrying out verification and optimization by physical detection and test.
(3) According to the intelligent field workshop management method, a network architecture of an internal production system of a factory is built in the fourth step, efficient cooperation and integration among various links such as technology, production, inspection and logistics, a data acquisition system, a monitoring system, a manufacturing execution system and an enterprise resource planning system are realized, a full life cycle data unified platform is built, the fourth step also comprises the step of building an intelligent factory information safety management system and a technical protection system, the intelligent factory information safety management system has information safety guarantee capabilities such as network protection and emergency response, a functional safety protection system is built, and system failure is effectively avoided by adopting a full life cycle method, so that the safety and stability of the workshop management volume can be improved.
Detailed Description
All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b): an intelligent field workshop management method comprises the following working steps:
the first step is as follows: designing and arranging the whole factory intelligently;
the second step: establishing a manufacturing execution system of a factory;
the third step: establishing an environment-friendly production safety monitoring system;
the fourth step: building a network architecture of a factory internal production system;
the fifth step: and establishing and perfecting a network collaborative manufacturing mode.
In the first step, a digital model is required to be established for overall design, process flow and layout of a factory, analog simulation is carried out, planning, production and operation full-flow digital management is realized, products, process design and simulation are carried out by applying digital three-dimensional design and process technology, verification and optimization are carried out through physical detection and tests, wherein interconnection and high integration of key technical equipment such as a numerical control machine tool, an industrial robot, intelligent sensing and control equipment, intelligent detection and assembly equipment, intelligent logistics and warehouse storage equipment and the like in production management and control are required, a production process data acquisition and analysis system is also required to be established in the first step, production field data such as production progress, field operation, quality inspection, equipment state, material transmission and the like are fully acquired, and visual management is realized.
The second step is to establish a factory manufacturing execution system to realize the whole-process closed-loop management of planning, scheduling, quality, equipment, production and energy efficiency, and also comprises establishing an enterprise resource planning system to realize the optimization of enterprise operation management such as supply chain, logistics, cost and the like.
And specifically, in the third step, for the projects with higher safety risk and pollution emission, the automatic detection and monitoring of the emission of toxic and harmful substances and the hazard source and the omnibearing monitoring of safety production are realized, and an online emergency command linkage system is established.
Establishing a network architecture of a factory internal production system in the fourth step, realizing efficient cooperation and integration among various links such as process, production, inspection, logistics and the like, a data acquisition system, a monitoring system, a manufacturing execution system and an enterprise resource planning system, and establishing a full life cycle data unified platform;
and the fourth step also comprises establishing an intelligent factory information safety management system and a technical protection system, having information safety guarantee capabilities of network protection, emergency response and the like, establishing a functional safety protection system, and effectively avoiding system failure by adopting a full life cycle method.
The fifth step specifically includes the steps of:
s501, establishing an intelligent factory Internet network manufacturing resource cooperative cloud platform which has a perfect system architecture and corresponding operation rules;
s502, through the cooperation of an intelligent inter-factory research and development system, the integration and butt joint of innovative resources and design capacity are realized;
s503, realizing the integration and butt joint of production capacity and service capacity, and the parallel organization and collaborative optimization of each link and a supply chain in the manufacturing process through the cooperation of an intelligent inter-factory management system and a service support system;
s504, establishing a product traceability system cooperatively shared around a whole production chain by utilizing technologies such as industrial cloud, industrial big data, industrial internet identification analysis and the like, and realizing information traceability service covering links such as product production, manufacturing, operation and maintenance service and the like among enterprises;
and S505, aiming at the manufacturing requirements and social manufacturing resources, carrying out dynamic analysis and flexible configuration of manufacturing services and resources.
The method further comprises a sixth step of intelligent factory personalized customization mode, wherein the method specifically comprises the following steps: the intelligent factory products adopt a modular design and are combined to form personalized products through differentiated customized parameters; an intelligent factory internet personalized customization service platform is built, and the deep interaction with a user is realized through modes of customized parameter selection, three-dimensional digital modeling, virtual reality or augmented reality and the like, so that a product customization scheme is generated quickly; establishing an intelligent factory personalized product database, and mining and analyzing personalized demand characteristics of a user by applying a big data technology; the industrial internet personalized customization platform realizes the cooperation and integration with digital manufacturing systems of enterprise research and development design, planned scheduling, flexible manufacturing, marketing management, supply chain management, logistics distribution, after-sale service and the like.
The method further comprises a seventh step of providing an intelligent factory remote operation and maintenance service mode, wherein the intelligent factory remote operation and maintenance service mode specifically comprises the following steps:
s701, configuring an open data interface for intelligent equipment/products in an intelligent factory, having the functions of data acquisition, communication, remote control and the like, acquiring and uploading data such as equipment states, operation operations, environmental conditions and the like by using an industrial internet supporting technologies such as IPv4 and IPv6, and flexibly adjusting equipment operation parameters according to remote instructions;
s702, establishing an intelligent equipment/product remote operation and maintenance service platform in an intelligent factory, effectively screening, carding, storing and managing equipment/product uploaded data, and providing services such as online detection, fault early warning, fault diagnosis and repair, predictive maintenance, operation optimization, remote upgrade and the like through data mining and analysis;
s703, realizing the cooperation and integration of the intelligent equipment/product remote operation and maintenance service platform in the intelligent factory with a product full-life cycle management system, a customer relationship management system and a product research and development management system;
s704, establishing an expert database and an expert consultation system of a corresponding intelligent factory, providing decision support for remote diagnosis of intelligent equipment/products, and providing an operation maintenance solution for a user;
s705, establishing an information security management system of the intelligent factory, and having information security protection capability.
The intelligent field workshop management method comprises the following steps: designing and arranging the whole intelligent factory; the second step: establishing a manufacturing execution system of a factory; the third step: establishing an environment-friendly production safety monitoring system; the fourth step: building a network architecture of a factory internal production system; the fifth step: the invention relates to a method for managing a field workshop, which comprises the steps of building and perfecting a network collaborative manufacturing mode, further comprising a sixth step of intelligent factory personalized customization mode and a seventh step of intelligent factory remote operation and maintenance service mode, so that the management of the intelligent field workshop of the invention is from the intelligent design of an intelligent factory to the design of an internal operation system, a frame structure and the like until the final operation, management, improvement and the like.
In the first step of the invention, the overall design, the process flow and the layout of a factory need to establish a digital model and carry out analog simulation, so as to realize the digital management of the planning, the production and the operation of the whole flow, the product, the process design and the simulation are carried out by applying the digital three-dimensional design and the process technology, and the verification and the optimization are carried out by physical detection and test, wherein, a numerical control machine tool, an industrial robot, an intelligent sensing and control device, an intelligent detection and assembly device, an intelligent logistics, a warehouse storage device and other key technical devices are also needed to be interconnected and highly integrated in a production control device, the first step also comprises the establishment of a production process data acquisition and analysis system, so as to fully acquire production field data such as production progress, field operation, quality inspection, equipment state, material transmission and the like, and realize the visual management and the visualization.
In the fourth step, a network architecture of a factory internal production system is built, efficient cooperation and integration among various links such as processes, production, inspection and logistics, a data acquisition system, a monitoring system, a manufacturing execution system and an enterprise resource planning system are realized, a full life cycle data unified platform is built, an intelligent factory information safety management system and a technical protection system are built, the intelligent factory information safety management system has information safety guarantee capabilities such as network protection and emergency response, a functional safety protection system is built, and a full life cycle method is adopted to effectively avoid system failure, so that the safety and stability of the workshop management volume can be improved.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. An intelligent field workshop management method is characterized in that: the method comprises the following working steps:
the first step is as follows: designing and arranging the whole intelligent factory;
the second step: establishing a manufacturing execution system of a factory;
the third step: establishing an environment-friendly production safety monitoring system;
the fourth step: building a network architecture of a factory internal production system;
the fifth step: and establishing and perfecting a network collaborative manufacturing mode.
2. The intelligent on-site plant management method according to claim 1, wherein: in the first step, a digital model is required to be established for overall design, process flow and layout of a factory, analog simulation is carried out, planning, production and operation full-flow digital management is realized, products, process design and simulation are carried out by applying digital three-dimensional design and process technology, verification and optimization are carried out through physical detection and tests, and a production process data acquisition and analysis system is also required to be established for fully acquiring production field data such as production progress, field operation, quality inspection, equipment states, material transmission and the like and realizing visual management.
3. The intelligent on-site plant management method according to claim 1, wherein: the second step is to establish a factory manufacturing execution system to realize the whole process closed-loop management of planning, scheduling, quality, equipment, production and energy efficiency, and the second step also comprises establishing an enterprise resource planning system to realize the optimization of enterprise operation management such as supply chain, logistics, cost and the like.
4. The intelligent on-site plant management method according to claim 1, characterized in that: and specifically, in the third step, for the projects with higher safety risk and pollution emission, the automatic detection and monitoring of the emission of toxic and harmful substances and the hazard source and the omnibearing monitoring of safety production are realized, and an online emergency command linkage system is established.
5. The intelligent on-site plant management method according to claim 1, wherein: in the fourth step, a network architecture of a factory internal production system is built, efficient cooperation and integration among various links such as technology, production, inspection, logistics and the like, a data acquisition system, a monitoring system, a manufacturing execution system and an enterprise resource planning system are realized, and a full life cycle data unified platform is built;
and the fourth step of establishing an intelligent factory information safety management system and a technical protection system, having information safety guarantee capabilities of network protection, emergency response and the like, establishing a functional safety protection system, and effectively avoiding system failure by adopting a full life cycle method.
6. The intelligent on-site plant management method according to claim 1, wherein: the fifth step specifically includes the steps of:
s501, establishing an intelligent factory Internet network manufacturing resource collaborative cloud platform which has a perfect system architecture and corresponding operation rules;
s502, through the cooperation of an intelligent inter-factory research and development system, the integration and butt joint of innovative resources and design capacity are realized;
s503, realizing integration and butt joint of production capacity and service capacity, and parallel organization and cooperative optimization of each link and a supply chain in the manufacturing process through cooperation of an intelligent inter-factory management system and a service support system;
s504, establishing a product traceability system cooperatively shared around a whole production chain by utilizing technologies such as industrial cloud, industrial big data, industrial internet identification analysis and the like, and realizing information traceability service covering links such as product production, manufacturing, operation and maintenance service and the like among enterprises;
and S505, aiming at the manufacturing demand and the social manufacturing resources, carrying out dynamic analysis and flexible configuration of manufacturing services and resources.
7. The intelligent on-site plant management method according to claim 1, wherein: the method further comprises a sixth step of intelligent factory personalized customization mode, wherein the method specifically comprises the following steps: the intelligent factory products adopt a modular design and are combined to form personalized products through differentiated customized parameters; an intelligent factory internet personalized customization service platform is built, and the deep interaction with a user is realized through modes of customized parameter selection, three-dimensional digital modeling, virtual reality or augmented reality and the like, so that a product customization scheme is generated quickly; establishing an intelligent factory personalized product database, and mining and analyzing personalized demand characteristics of a user by applying a big data technology; the industrial internet personalized customization platform realizes collaboration and integration with digital manufacturing systems of enterprise research and development design, planning and scheduling, flexible manufacturing, marketing management, supply chain management, logistics distribution, after-sales service and the like.
8. The intelligent on-site plant management method according to claim 1, wherein: and the seventh step of remote operation and maintenance service mode of the intelligent factory is also included.
9. The intelligent on-site plant management method according to claim 8, wherein: the intelligent factory remote operation and maintenance service mode specifically comprises the following steps:
s701, configuring an open data interface for intelligent equipment/products in an intelligent factory, having the functions of data acquisition, communication, remote control and the like, acquiring and uploading data such as equipment states, operation operations, environmental conditions and the like by using an industrial internet supporting technologies such as IPv4 and IPv6, and flexibly adjusting equipment operation parameters according to remote instructions;
s702, establishing an intelligent equipment/product remote operation and maintenance service platform in an intelligent factory, effectively screening, carding, storing and managing equipment/product uploaded data, and providing services such as online detection, fault early warning, fault diagnosis and repair, predictive maintenance, operation optimization, remote upgrade and the like through data mining and analysis;
s703, realizing the cooperation and integration of the intelligent equipment/product remote operation and maintenance service platform in the intelligent factory with a product full-life cycle management system, a customer relationship management system and a product research and development management system;
s704, establishing an expert database and an expert consultation system of a corresponding intelligent factory, providing decision support for remote diagnosis of intelligent equipment/products, and providing an operation maintenance solution for a user;
s705, establishing an information security management system of the intelligent factory, and having information security protection capability.
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| CN116307621A (en) * | 2023-03-31 | 2023-06-23 | 江门市星群实业有限公司 | Wisdom mill production system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116307621A (en) * | 2023-03-31 | 2023-06-23 | 江门市星群实业有限公司 | Wisdom mill production system |
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