CN111178838A - An intelligent digital factory system based on cloud computing - Google Patents
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Abstract
本发明提供了一种基于云计算的智能数字化工厂系统，包括服务器集群，所述集群服务器连接于云计算平台，且所述服务器集群包括上层管理系统，特别地，所述服务器集群还包括基层管理系统，所述上层管理系统连接于所述基层管理系统，所述基层管理系统与多个现场终端通信连接，所述现场终端包括现场控制器，所述现场控制器连接有多个终端设备。本发明将基层管理系统和上层管理系统相结合，实现数据共享，加强了各部门的协同办公能力，提高了工作效率。
The present invention provides an intelligent digital factory system based on cloud computing, including a server cluster, the cluster server is connected to a cloud computing platform, and the server cluster includes an upper management system, in particular, the server cluster also includes a basic management system The upper management system is connected to the base management system, the base management system is communicatively connected with a plurality of field terminals, the field terminals include a field controller, and the field controller is connected with a plurality of terminal devices. The invention combines the basic management system with the upper management system, realizes data sharing, strengthens the collaborative office ability of various departments, and improves work efficiency.
Description
Technical Field
The invention belongs to the technical field of factory management, and particularly relates to an intelligent digital factory system based on cloud computing.
Background
At present, many factories are equipped with ERP systems, but for manufacturing companies, the ERP systems alone are not enough to realize the intellectualization of the companies, and the ERP systems are enterprise resource planning systems and are used by upper management, including quality management; managing a laboratory; managing the flow operation; managing a formula; managing product data; maintenance management, warehouse management and the like, and is used for integrating and decomposing upper layer data and the like. However, the ERP system is not a workshop-level product, and the information provided by the ERP is different from the information required by the basic level personnel, so that the information requirement of the basic level personnel cannot be met. In addition, a separate ERP system creates a data gap between upper management and lower plant environments, thus creating inefficiencies and additional costs that reduce overall company performance.
Disclosure of Invention
The invention aims to solve the problems and provides an intelligent digital factory system based on cloud computing.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides an intelligent digital factory system based on cloud calculates, includes the server cluster, the cluster server is connected in cloud computing platform, just the server cluster includes upper management system, and in particular, the server cluster still includes basic level management system, upper management system connect in basic level management system, basic level management system and a plurality of field terminal communication connection, field terminal includes the site controller, the site controller is connected with a plurality of terminal equipment.
In the cloud computing-based intelligent digital factory system, the server cluster is connected with a client cluster, the client cluster comprises any one or more of a high-level management client, a supervisor client, a quality inspection client, a maintenance client, a material client, a scheduling client and an operation client, and each client is embedded in the mobile terminal.
In the above intelligent digital factory system based on cloud computing, the primary management system includes a plan management module, and the plan management module is configured to perform the following steps:
s11, receiving a demand order and generating a production order according to the demand order;
s12, decomposing the production order and arranging the production order into a regulation plan task according to the existing plan;
s13, issuing related plan tasks to related departments;
and S14, receiving feedback information of plan completion conditions and monitoring and managing the whole process.
In the above intelligent digital factory system based on cloud computing, the primary management system further includes a scheduling management module, and the scheduling management module is configured to execute the following steps:
s21, generating a demand plan according to the production order and issuing the demand plan to a scheduling management terminal;
s22, receiving scheduling information returned by a scheduling management end and scheduling feedback information returned by a scheduled department;
and S23, storing the scheduling information for logistics monitoring and scheduling query.
In the above intelligent digital factory system based on cloud computing, the primary management system further includes a maintenance guidance module, and the maintenance guidance module is configured to perform the following steps:
s31, receiving a maintenance fault alarm and distributing maintenance tasks to maintenance personnel;
s32, receiving a fault query result of a maintenance worker and judging the fault type;
s33, searching a maintenance experience base according to the fault type, judging whether similar faults exist, calling out a previous maintenance mode for maintenance personnel to maintain according to previous experiences if the similar faults exist, and otherwise, executing a step S34;
and S34, receiving the equipment fault type and the maintenance method uploaded by the maintenance personnel, and storing the equipment fault type and the maintenance method into a maintenance experience library.
In the above intelligent digital factory system based on cloud computing, the basic management system further comprises a material management module, the material management module is used for basic information management, raw material management, work-in-process management, finished product management, warehouse monitoring and production batching management of materials, the basic information management comprises material numbers of management objects and warehouse codes where the management objects are located, and the raw material management, the work-in-process management and the finished product management all comprise warehousing management, ex-warehouse management, material query management and material inventory.
In the intelligent digital factory system based on cloud computing, the scheduling management module queries the complete set condition of materials in the scheduled plan according to the material information in the material management module to give a complete set conclusion, and gives the complete set production quantity and generates a material shortage list when complete set can not be given.
In foretell intelligent digital factory system based on cloud calculates, basic unit's management system still includes equipment management module, terminal equipment includes field device and is used for carrying out the supervisory equipment who monitors to field device, just equipment management module is used for receiving static management data and dynamic management data, static management data includes maintenance personnel to corresponding equipment's maintenance information and maintenance information, dynamic management data includes the operational data that supervisory equipment uploaded's monitoring data and terminal equipment uploaded.
In the above intelligent digital factory system based on cloud computing, the field devices include process devices, RFID devices and printer devices; the operation monitoring device includes a sensor device.
In the above intelligent digital factory system based on cloud computing, the basic management system further includes a business flow management module, a quality inspection guidance module, a machining guidance module and a tool/cutter management module, where the tool/cutter management module is used to perform basic information management, maintenance management, warehouse entry and exit management, maintenance management, life management, inventory management and scrap management on a work/cutter; the business flow management module is used for receiving the work preparation and completion condition of each department for executing corresponding tasks; the quality inspection guiding module and the processing guiding module respectively comprise a file consulting unit, an operation guiding unit and an abnormal calling unit.
The invention has the advantages that the production management mode is optimized, the process management and control are strengthened, and the fine management is realized; the basic level management system and the upper level management system are combined to realize data sharing, so that the cooperative office capacity of each department is enhanced, and the working efficiency is improved; the timeliness and the accuracy of production data analysis and statistics are improved; the problems that the enterprise is slow in reflection, cannot avoid and deal with errors in time and the like due to lag of information and report data are solved; effective and standard management support is provided for product quality inspection of enterprises; a standard production management information platform is established, so that information interconnection and intercommunication between an internal field control layer and a management layer of an enterprise are realized, and managers on the upper layer of the enterprise can know the operation condition of a production field in time. The core competitiveness of an enterprise is improved;
drawings
FIG. 1 is a block diagram of a system architecture for a cloud computing based intelligent digital factory system;
FIG. 2 is a flow chart of the maintenance of the apparatus of the present invention after a failure;
FIG. 3 is a schematic view of the management contents of the tool management module according to the present invention;
FIG. 4 is a schematic view of the management of the tool management module of the present invention;
FIG. 5 is a method flow diagram of the quality inspection process of the present invention;
FIG. 6 is a method flow diagram of the process of the present invention;
FIG. 7 is a schematic diagram of a quality inspection guide according to the present invention;
FIG. 8 is a schematic representation of a known manner of processing guidance of the present invention.
Reference numerals: an upper management system 1; a base management system 2; a server cluster 3; a field terminal 4; the site controller 41; the terminal device 42; a cloud computing platform 5.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the present embodiment discloses an intelligent digital factory system based on cloud computing, which includes a server cluster 3, the server cluster 3 is connected to a cloud computing platform 5, the server cluster 3 includes a plurality of function servers, each function system/module may be located in its own function server, and the server cluster 3 includes an upper management system 1 and a base management system 2, and the upper management system 1 is connected to the base management system 2, the base management system 2 is connected to a plurality of field terminals 4, the field terminals 4 include a field controller 41, and the field controller 41 is connected to a plurality of terminal devices 42.
The basic level management system 2 is used for execution management of a production process, the upper level management system 1 (e.g., an ERP system) is an enterprise management system for being operated by upper level managers of an enterprise, and includes engineering data management, production management, project management, customer service management material management, financial management and the like, the service objects of the upper level management system 1 are the upper level managers and are used for upper level work such as strategy formulation and the like, and the independent operation of the upper level management system 1 easily results in fault between a plan formulation and an execution level. The embodiment accesses the basic level management system 2 on the basis of the ERP system, and realizes the integrated analysis of basic level workshop data and the integrated decomposition of upper layer data. The basic level management system 2 and the upper level management system 1 are connected into the factory management system together, the upper level management system 1 and basic level workshop data are communicated, real-time performance between basic level data feedback and high level data identification is improved, and therefore reasonable production plans can be provided by upper level management personnel, and production efficiency of companies is improved.
Further, the server cluster 3 is connected with a client cluster, the client cluster includes a plurality of high-level management clients, a supervisor client, a quality inspection client, a maintenance client, a material client, a scheduling client and an operation client, and each client is embedded in the mobile terminal. The support of mobile terminal access is provided, different access authorities and access ranges are provided for people of different positions in the organization architecture, and the base management system 2 is widely applied.
Specifically, the base management system 2 includes a plan management module, and the plan management module is configured to perform the following steps:
s11, receiving a demand order issued by the upper management system 1 and generating a production order according to the demand order;
s12, decomposing the production order and arranging the production order into a regulation plan task according to the existing plan;
s13, issuing related plan tasks to related departments;
and S14, receiving feedback information of plan completion conditions uploaded by each relevant department through the client, and monitoring and managing the whole process. And at the same time, upload the received information to the upper management system 1.
Further, the base layer management system 2 further includes a scheduling management module, and the scheduling management module is configured to perform the following steps:
s21, generating a demand plan according to the production order and issuing the demand plan to a scheduling management terminal;
s22, receiving scheduling information returned by a scheduling management end and scheduling feedback information returned by a scheduled department;
and S23, storing the scheduling information for logistics monitoring and scheduling query. Likewise, the scheduling information is also uploaded to the upper management system.
Further, as shown in fig. 2, the base management system 2 further includes a maintenance instruction module, and the maintenance instruction module is configured to perform the following steps:
s31, receiving a maintenance fault alarm and distributing maintenance tasks to maintenance personnel;
s32, receiving a fault query result of a maintenance worker and judging the fault type;
s33, searching a maintenance experience base according to the fault type, judging whether similar faults exist, calling out a previous maintenance mode for maintenance personnel to maintain according to previous experiences if the similar faults exist, and otherwise, executing a step S34;
and S34, receiving the equipment fault type and the maintenance method uploaded by the maintenance personnel, and storing the equipment fault type and the maintenance method into a maintenance experience library.
A maintenance experience base is established based on the past fault experience, when the same fault occurs, maintenance personnel can directly refer to the experience method in the maintenance experience base for maintenance, the reason of the equipment fault does not need to be searched again, the maintenance method does not need to be researched, and the maintenance efficiency is improved.
Preferably, the basic level management system 2 further includes a material management module, the material management module is configured to perform basic information management, raw material management, product in process management, finished product management, warehouse monitoring, and production ingredient management on the material, the basic information management includes a material number of a management object and a warehouse code where the management object is located, and the raw material management, the product in process management, and the finished product management all include warehousing management, ex-warehouse management, material query management, and material inventory. And the scheduling management module inquires the complete set condition of the materials in the scheduled plan according to the material information in the material management module to give a complete set conclusion, and gives the production quantity of the complete set and generates a material shortage list when the complete set can not be given, so that material managers can supplement the material shortage list in time, and the material supplement efficiency is improved.
Further, the basic level management system 2 further includes a device management module, the terminal device 42 includes a field device and a monitoring device for monitoring the field device, and the device management module is configured to receive static management data and dynamic management data, the static management data includes maintenance information and maintenance information of a maintenance worker for the corresponding device, and the dynamic management data includes monitoring data uploaded by the monitoring device and operation data uploaded by the terminal device 42. And the field devices include process devices, RFID devices, printer devices and the like; the operation monitoring device includes a sensor device such as a temperature sensor, an infrared sensor, or the like.
The production order information and the constraint element information (such as material information and terminal equipment 42 information) are acquired through integration of the upper layer management system and the base layer management system, decomposition and scheduling of the production order are realized by analyzing and processing the order information and the constraint element through cloud computing, and efficient production guidance execution is realized.
In addition, timely feedback can be given when the plan execution changes, for example, when equipment fails, the schedule can be adjusted through a scheduling management module, a plan management module and other modules in a combined mode. The method provides possibility for real-time feedback and timely scheduling, and greatly improves the efficiency of plan adjustment and field execution.
Further, as shown in fig. 3 to 8, the primary management system 2 further includes a business flow management module, a quality inspection guidance module, a machining guidance module, and a tool/cutter management module, where the tool/cutter management module is used to perform basic information management, maintenance management, in-out management, maintenance management, life management, inventory management, scrap management, and the like on the work/cutter; the business flow management module is used for receiving the work preparation and completion condition of each department for executing corresponding tasks; the quality inspection guiding module and the processing guiding module respectively comprise a file consulting unit, an operation guiding unit and an abnormal calling unit.
In addition, the basic level management system 2 may further include a production modeling module, a spare part management module, a work order management module, a work reporting management module, a fool-proof error-proofing module, a billboard module, an image-text archive management module, a personnel management module, an outsourcing management module, a performance management module, and the like, for different application factories.
The embodiment optimizes the management service in the production and manufacturing process through the feedback result, and meanwhile, managers can conveniently know the reason of overhigh enterprise cost or unstable product quality according to various feedback information, so that the adjustment can be made in time, better service can be provided for customers in a targeted manner, the problem can be clarified for the customers in time and accurately when customer complaints occur, and the influence range can be confirmed. The data of the production process of the product also provides effective support for production management decision, and the problems in the production process are exposed and processed in time. Effectively prevents the occurrence of problems, and eliminates the quality problems of products and the abnormal conditions of the production line in the bud state.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Although the upper management system 1 is used more herein; a base management system 2; a server cluster 3; a field terminal 4; the site controller 41; the terminal device 42; cloud computing platform 5, etc., but does not exclude the possibility of using other terms. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
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| CN112286148A (en) * | 2020-09-30 | 2021-01-29 | 张成林 | Intelligent factory system based on Internet of things technology and digital management technology |
| CN114169848A (en) * | 2021-11-19 | 2022-03-11 | 深圳市沃科赛尔信息技术有限公司 | A Solution to Problems in Digital Factory |
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