CN112859792A - Intelligent factory management and control system - Google Patents
Intelligent factory management and control system Download PDFInfo
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- CN112859792A CN112859792A CN202110166674.9A CN202110166674A CN112859792A CN 112859792 A CN112859792 A CN 112859792A CN 202110166674 A CN202110166674 A CN 202110166674A CN 112859792 A CN112859792 A CN 112859792A
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- 238000004364 calculation method Methods 0.000 claims abstract description 4
- 238000012797 qualification Methods 0.000 claims abstract description 4
- 238000003860 storage Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 40
- 238000003754 machining Methods 0.000 claims description 6
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- 238000012502 risk assessment Methods 0.000 description 2
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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]
- G05B19/4185—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
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31088—Network communication between supervisor and cell, machine group
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- 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
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- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses an intelligent factory management and control system, which relates to the field of environmental monitoring and comprises a data acquisition module, a database and a data processing module, wherein the data acquisition module is connected to production equipment and used for adopting equipment data and building the database; the server acquires equipment data from the database or the acquisition module, constructs a plurality of control models aiming at different production characteristics by using the equipment data and forms a model library; the server periodically acquires real-time production data, and selects a model from the model library according to a real-time produced product to form an individualized management scheme; inputting real-time production data into each model in a management scheme for calculation, setting a threshold value for each model, judging the qualification of real-time production, and finally importing the result into a database for storage; and the server gives an instructive instruction to the production equipment according to the result of the analyzer. The invention helps managers to make personalized management schemes and achieves the aim of lean management of factories.
Description
Technical Field
The invention relates to the field of factory management, in particular to an intelligent factory management and control system.
Background
An intelligent factory is a new stage of modern factory informatization development, and information management and service are enhanced by using the technology of the Internet of things and the equipment monitoring technology on the basis of a digital factory; the production flow is clearly mastered, the controllability of the production process is improved, the production line data are timely and correctly collected, and the production planning and the production progress are reasonable.
In the prior art, as the published Chinese invention patents: CN109725610A, a factory production information analysis processing method, a device and equipment, and discloses a technical scheme for determining a production execution scheme by using historical data, determining a real-time risk analysis result according to real-time data, and comprehensively analyzing the real-time risk analysis result and the real-time data to determine the real-time production execution scheme. The essence of the method is that a certain amount of historical data is utilized to dig out the data most beneficial to production, and the real-time production flow is guided according to the dug-out data, so that the production flow is adjusted to be optimal.
Therefore, on the premise of having an optimal production flow, how to realize lean management meeting the production needs of the user is a new problem.
Disclosure of Invention
The invention aims to provide an intelligent factory management and control system
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent factory management and control system comprises a data acquisition module, a data storage module and a data processing module, wherein the data acquisition module is connected to production equipment and used for adopting equipment data and building a database as a model parameter;
the server constructs a plurality of control models aiming at different products and different production characteristics according to the basic data and the configured model parameters, and selects one or more control models to form a management scheme according to the production requirements of the products;
the server periodically acquires real-time production data;
inputting real-time production data into each model in a management scheme for calculation, setting a threshold value for each model, judging the qualification of real-time production by using an analyzer in a server, and finally importing the result into a database for storage;
and the server gives an instructive instruction to the production equipment according to the result of the analyzer.
Preferably, the device data comprises basic data, wherein the basic data comprises a product to be produced, a process flow, a device to be used, an accessory, a material, a department organization, and is imported into the data acquisition module in a system docking or manual form mode.
Preferably, the model comprises a comprehensive efficiency model, calculated by the following formula:
where OEE represents the overall efficiency of the plant, TcIndicates the duration of operation of the apparatus, TaRepresenting the duration of the power-on of the equipment, P representing the production, Q representing the tempo, PmIndicating a miseligibility number.
Preferably, the model comprises a shutdown loss model calculated by the following formula:
wherein M islossIndicating the amount of equipment downtime lost, TtIndicating the time of shutdown and N the unit price.
Preferably, the model includes a tool change model, and a threshold value G for the number of times of tool machining is presetmaxAnd obtaining the machining times G of the tool to be inspectedtextComparing the sizes of the two, if Gtext≥GmaxReplacement is required.
Preferably, the model comprises a start rate model, calculated by the formula:
wherein C is the actuation rate, TsFor length of production, TbThe working hours.
Preferably, the instructional command comprises a reverse-control shutdown.
Preferably, the system further comprises a display device for displaying parameters of the management and control system, and the model output and comparison result.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of presetting a model base, storing a plurality of models formed by using equipment data and algorithms in the model base, wherein the models reflect management data of each production link, selecting one or more models to formulate a personalized production management scheme according to requirements of managers and actual production conditions, exhausting all models in the scheme after the management scheme is confirmed, matching the models with real-time production data to obtain production characteristics (defined in the models) reflected by the real-time production data, and giving targeted instructions to the managers to fulfill the aim of lean management.
Drawings
Fig. 1 is a schematic diagram illustrating an overall architecture of a plant management and control system according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an exemplary data management interface.
FIG. 3 is a diagram illustrating a value assignment interface of the embodiment.
FIG. 4 is a diagram illustrating an exemplary model management interface.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, an intelligent factory management and control system disclosed in this embodiment includes a data acquisition module connected to a production device, and configured to adopt device data and build a database; wherein the part of data also comprises some basic data: comprises the produced products, the process flow, the used equipment, the auxiliary tools, the materials, the department organization and the like. These underlying data are imported through other system interfaces or through EXCEL.
In addition, the data acquisition module extracts data from the equipment through an acquisition program to form a basic parameter ledger (refer to fig. 2, namely an interface for data management); production data considered custom may also be included in the database.
The server constructs a plurality of control models aiming at different products and different production characteristics according to the basic data and the configured model parameters, and selects one or more control models to form a management scheme according to the production requirements of the products; the server selects different periods and different basic data as model elements according to the data in the constructed database and the management concept of managers and the actual situation in the production process, and selects the parameters to be concerned to combine with the operation symbols to form the final concerned operation formula; one or more operation formulas are combined to form a management model of the production index, and the management model is finally used for controlling the production index.
The server periodically acquires real-time production data (directly acquired by a data acquisition module or extracted from a database), and selects a model from a model library according to a real-time production product to form a personalized management scheme; referring to fig. 3 and 4, after the parameters are assigned, a model calculation algorithm meeting the needs of the administrator can be established by itself by using a built-in operation symbol.
Inputting real-time production data into each model in a management scheme for calculation, setting a threshold value for each model, judging the qualification of real-time production by using an analyzer in a server, and finally importing the result into a database for storage;
specifically, the model includes a comprehensive efficiency model, which is calculated by the following formula:
where OEE represents the overall efficiency of the plant, TcIndicates the duration of operation of the apparatus, TaRepresenting the duration of the power-on of the equipment, P representing the production, Q representing the tempo, PmRepresents the number of miseligibility; and evaluating the comprehensive efficiency of the current processing flow based on the model.
The method also comprises a shutdown loss model which is calculated by the following formula:
wherein M islossIndicating the amount of equipment downtime lost, TtRepresents the time of shutdown, and N represents the unit price;
also comprises a cutter replacing model, wherein a threshold value G of the machining times of the cutter is presetmaxAnd obtaining the machining times G of the tool to be inspectedtextComparing the sizes of the two, if Gtext≥GmaxThen replacement is required;
and also includes the starting rateA model calculated by the formula:
wherein C is the actuation rate, TsFor length of production, TbThe working hours.
It should be mentioned that the system further includes a display panel page for displaying real-time data of the management and control system and analysis data of the model output result or time period to be displayed in real time.
According to the importance degree of the production process, instructive instructions can be issued to the production equipment according to the result of the server analyzer, and the instructive instructions comprise operations such as reverse control shutdown and the like so as to avoid the generation of defective products or damage to mechanical parts.
In summary, the present embodiment utilizes real-time data extracted from the device or system data that is constant, and a management scheme constructed by a model selected by a manager to construct a management system for application in a modern intelligent factory; the manager can freely adjust the management scheme by using a set of system and a set of data; meanwhile, the real-time performance and periodicity of the data are beneficial to management personnel to carry out targeted management on specific production links, and the lean effect is realized.
Claims (8)
1. The utility model provides an intelligence factory management and control system which characterized in that: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is connected to production equipment and used for adopting equipment data and building a database as a model parameter;
the server constructs a plurality of control models aiming at different products and different production characteristics according to the basic data and the configured model parameters, and selects one or more control models to form a management scheme according to the production requirements of the products;
the server periodically acquires real-time production data;
inputting real-time production data into each model in a management scheme for calculation, setting a threshold value for each model, judging the qualification of real-time production by using an analyzer in a server, and finally importing the result into a database for storage;
and the server gives an instructive instruction to the production equipment according to the result of the analyzer.
2. The intelligent plant management and control system according to claim 1, wherein: the equipment data comprises basic data, wherein the basic data comprises a produced product, a process flow, used equipment, an auxiliary tool, a material and a department organization, and the basic data is imported into the data acquisition module in a system butt joint or manual form mode.
3. The intelligent plant management and control system according to claim 2, wherein: the model comprises a comprehensive efficiency model and is calculated by the following formula:
where OEE represents the overall efficiency of the plant, TcIndicates the duration of operation of the apparatus, TaRepresenting the duration of the power-on of the equipment, P representing the production, Q representing the tempo, PmIndicating a miseligibility number.
4. The intelligent plant management and control system according to claim 3, wherein: the model comprises a shutdown loss model, and is calculated by the following formula:
wherein M islossIndicating the amount of equipment downtime lost, TtIndicating the time of shutdown and N the unit price.
5. The intelligent plant management and control system according to claim 4, wherein: the model comprises a tool replacement model, and a threshold value G of the tool machining times is presetmaxAnd obtaining the machining times G of the tool to be inspectedtextComparing the sizes of the two, if Gtext≥GmaxReplacement is required.
6. The intelligent plant management and control system according to claim 5, wherein: the model comprises a starting rate model and is calculated by the following formula:
wherein C is the actuation rate, TsFor length of production, TbThe working hours.
7. The intelligent plant management and control system according to claim 1 or 5, wherein: the instructional commands include a reverse shutdown.
8. The intelligent plant management and control system according to claim 7, wherein: the system also comprises a display device for displaying the parameters of the management and control system and the model output and comparison results.
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Cited By (2)
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| CN117494045A (en) * | 2023-11-06 | 2024-02-02 | 南京海汇装备科技有限公司 | Data integration intelligent management and control system and method based on data fusion |
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