CN114137921A - Real-time allocation system and allocation method for intelligent production workshop of sanitary equipment - Google Patents
Real-time allocation system and allocation method for intelligent production workshop of sanitary equipment Download PDFInfo
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Abstract
The invention relates to the field of workshop production scheduling systems and scheduling methods thereof, in particular to a real-time scheduling system and a scheduling method thereof for an intelligent production workshop of sanitary equipment, which are used for scheduling and configuring production resources, tracking order tasks and feeding real-time data in the production process back to a cloud and a workshop twin data center under the environment of the cloud and the workshop twin data center; RFID antennas are arranged in the feeding cache region, the contact cache region, the equipment processing region and the discharging cache region, so that the monitoring precision in the production process can be greatly improved; the required scheduling data can be rapidly and accurately acquired through real-time interaction and scheduling of the manufacturing task management center and the twin workshop data center and high-precision RFID identification, the scheduling accuracy is guaranteed, the scheduling scheme is continuously adjusted and optimized through information interaction and iterative optimization of a physical workshop and a virtual workshop, and production disturbance is timely responded.
Description
Technical Field
The invention relates to the field of a workshop production scheduling system and a scheduling method of sanitary equipment, in particular to a real-time scheduling system and a scheduling method of an intelligent production workshop of the sanitary equipment.
Background
The sanitary equipment processing parts belong to single-piece small-batch manufacturing, and the execution of the job shop plan is always influenced by random events such as internal and external, subjective and objective, technical and management and the like. Therefore, there are many uncertainty factors in the production process of a single piece, small lot-type manufacturing plant, such as: the order arrives at random, the personalized requirements of customers are increased, the delivery date requirements are shorter and shorter, the order change phenomenon is more and more frequent, waste products and equipment faults appear in the production process, the manufacturing progress of products is delayed, and the like. The uncertainty factors can cause deviation of an actual production process from an expected plan, an original operation workshop planning scheme is no longer feasible, production order is affected, production efficiency is reduced, products cannot be delivered according to schedule, and unnecessary economic loss is brought to manufacturing enterprises.
Disclosure of Invention
An object of the present invention is to solve at least the above problems by a system for real-time allotment of an intelligent production workshop for a sanitary equipment and an allotment method thereof.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: real-time allotment system in sanitary equipment intelligence workshop, its characterized in that includes:
the physical workshop is used for executing the production plan and acquiring workshop scheduling information in real time;
the cloud information exchanger is used for converting the acquired order information into a task request, tracking order changes in real time and feeding back production progress;
the manufacturing task management center is used for decomposing a task request issued from the cloud information exchanger into subtasks, and performing characteristic matching on the subtasks and the process route library to obtain a specific process route;
the virtual workshop simulates production activities according to real-time workshop scheduling information acquired by the physical workshop, triggers an optimized production process by combining historical scheduling information, and uploads optimized simulation scheduling data to a manufacturing task management center;
the workshop twin data center is used for collecting and fusing real-time workshop scheduling information from a physical workshop and simulation scheduling information from a virtual workshop;
the workshop service center is used for workshop service and driving the workshop service information to be executed by a physical workshop through the workshop twin data center;
the physical workshop transmits real-time scheduling information to a manufacturing task management center, the manufacturing task management center drives the physical workshop to execute a production task, information interaction and iterative optimization are carried out between the physical workshop and a virtual workshop, information interaction is carried out between the cloud information exchanger and the manufacturing task management center, information interaction is carried out between the manufacturing task management center and a workshop twin data center, simulation information is transmitted to the manufacturing task management center by the virtual workshop, the manufacturing task management center drives the virtual workshop to simulate production, the workshop twin data center drives a workshop service center, and the workshop service center outputs service data to the workshop twin data center.
Preferably, the physical workshop comprises a workshop real-time scheduling information base, the physical workshop records scheduling information into the workshop real-time scheduling information base in real time, and real-time data are transmitted to the manufacturing task management center through the workshop real-time scheduling information base.
Preferably, the real-time workshop scheduling information base comprises an equipment operation information module, a personnel on-duty information module, a processing task information module and a production state information module.
Preferably, the physical workshop further comprises a resource recovery module, a physical processing module and a process node configuration module, wherein the process node configuration module is a process node matching processing device, and the resource recovery module judges the processing device which is not matched with the process node as a spare resource.
Preferably, the plant twin data center comprises a simulation database for collecting virtual plant simulation scheduling data and a process route library for recording process route instances from physical plants, the manufacturing task management center records the process route instances from the physical plants into the process route library, and the process route library is matched with process routes for the physical plants.
Preferably, the workshop service center comprises a production information module, a frame state module, an online man-hour prediction module and an implementation scheduling scheme module.
Preferably, the processing equipment comprises an equipment processing area for processing the workpiece, a loading cache area for temporary storage of workpiece loading, a node cache area for temporary storage of the workpiece between different processing joints, a discharging cache area for temporary storage of workpiece discharging and an RFID reader-writer for reading RFID tag information, wherein the equipment processing area, the loading cache area, the node cache area and the discharging cache area are all provided with RFID antennas for receiving the RFID tag information.
Preferably, the physical workshop comprises processing equipment, a feeding conveying loop line and a discharging conveying loop line, the processing equipment is provided with a plurality of processing equipment, the feeding conveying loop line is connected with a feeding cache region and a node cache region of each processing equipment, the discharging conveying loop line is connected with a discharging cache region of each processing equipment, a feeding conveyor is arranged on the feeding conveying loop line between the adjacent processing equipment, and a discharging conveyor is arranged on the discharging conveying loop line between the adjacent processing equipment.
The allocation method of the real-time allocation system of the intelligent production workshop of the sanitary equipment is characterized by comprising the following processes:
the cloud information exchanger converts the acquired order information into an order request, tracks the change of the order in real time and feeds back the production progress;
the manufacturing task management center decomposes a task request issued from the cloud information exchanger into subtasks, performs characteristic matching on the subtasks and a process route library to obtain a specific process route example, a process node configuration module disassembles a process into processing nodes and matches the processing nodes with corresponding processing equipment, a resource recovery module judges the processing equipment which is not matched with the process nodes as spare resources, and when the equipment operation condition is abnormal, a physical processing module automatically triggers early warning and redistributes the processing tasks to other processing equipment;
the physical workshop acquires scheduling related information in real time through the equipment operation module, the personnel on duty module, the processing task module and the production state information module, and records the scheduling information into a workshop real-time scheduling information base, and the real-time data is further transmitted to a manufacturing task management center;
the manufacturing task management center and the workshop twin data center carry out data interactive transmission in real time, the manufacturing task management center packages scheduling information from a physical workshop to generate a process route example, and inputs a process route library of the workshop twin data center, and meanwhile, the process route library can provide a process route example matching function for production of the physical workshop;
the virtual workshop carries out simulation according to scheduling real-time data, updates and optimizes the production process by combining historical data, transmits the optimized simulation data back to a workshop twin data center, and iterates and fuses the real-time scheduling data and the simulation data in the workshop twin data center;
the twin data driving workshop service center provides services including production information statistics, workshop state monitoring, man-hour online prediction, implementation of scheduling schemes and the like;
preferably, the workpiece to be machined is placed on the tray for machining circulation, the label of the workpiece is adhered to the tray, when the workpiece passes through a position corresponding to a certain device, the RFID antenna and the RFID reader-writer acquire RFID label information to judge the correct position, and when the position is judged to be correct, corresponding action is executed.
From the above description, the real-time allocation system and the allocation method for the intelligent production workshop of the sanitary equipment provided by the invention have the following beneficial effects: scheduling and configuring production resources under the environment of a cloud and a twin data center of a workshop, splitting the production tasks, scheduling available resources, performing optimized production resource configuration on each processing node, minimizing vacant resources, improving production efficiency, tracking order tasks, and feeding real-time data in the production process back to the cloud and the twin data center of the workshop; RFID antennas are arranged in the feeding cache region, the contact cache region, the equipment processing region and the discharging cache region, so that the monitoring precision in the production process can be greatly improved; the method has the advantages that through real-time interaction and scheduling of the manufacturing task management center and the workshop twin data center and high-precision RFID identification, required scheduling data can be rapidly and accurately acquired, the scheduling accuracy is guaranteed, the running state of a workshop can be analyzed through the workshop twin data, the assembling time is predicted, the scheduling scheme is continuously adjusted and optimized through information interaction and iterative optimization of a physical workshop and a virtual workshop, and production disturbance is timely coped with.
Drawings
Fig. 1 is a schematic structural diagram of the real-time allocation system of the intelligent production workshop of the sanitary equipment.
Fig. 2 is a schematic diagram of an RFID identification system of a processing tool.
Fig. 3 is a schematic diagram of a physical plant layout.
Detailed Description
The invention is further described below by means of specific embodiments.
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, the system for real-time allocation of intelligent production workshops of sanitary equipment according to the present invention comprises:
the physical workshop is used for executing the production plan and acquiring workshop scheduling information in real time;
the cloud information exchanger is used for converting the acquired order information into a task request, tracking order changes in real time and feeding back production progress;
the manufacturing task management center is used for decomposing a task request issued from the cloud information exchanger into subtasks, and performing characteristic matching on the subtasks and the process route library to obtain a specific process route;
the virtual workshop simulates production activities according to real-time workshop scheduling information acquired by the physical workshop, triggers an optimized production process by combining historical scheduling information, and uploads optimized simulation scheduling data to a manufacturing task management center;
the workshop twin data center is used for collecting and fusing real-time workshop scheduling information from a physical workshop and simulation scheduling information from a virtual workshop;
the workshop service center is used for workshop service and driving the workshop service information to be executed by a physical workshop through the workshop twin data center;
the physical workshop transmits real-time scheduling information to a manufacturing task management center, the manufacturing task management center drives the physical workshop to execute a production task, information interaction and iterative optimization are carried out between the physical workshop and a virtual workshop, information interaction is carried out between a cloud information exchanger and the manufacturing task management center, information interaction is carried out between the manufacturing task management center and a twin workshop data center, the virtual workshop transmits simulation information to the manufacturing task management center, the manufacturing task management center drives the virtual workshop to simulate production, the twin workshop data center drives a workshop service center, and the workshop service center outputs service data to the twin workshop data center.
The physical workshop comprises a workshop real-time scheduling information base, the scheduling information is recorded into the workshop real-time scheduling information base in real time by the physical workshop, and real-time data are transmitted to the manufacturing task management center through the workshop real-time scheduling information base.
The real-time workshop scheduling information base comprises an equipment operation information module, a personnel on-duty information module, a processing task information module and a production state information module.
The physical workshop also comprises a resource recovery module, a physical processing module and a process node configuration module, wherein the process node configuration module is a process node matching processing device, and the resource recovery module judges the processing device which is not matched with the process node as a spare resource.
The workshop twin data center comprises a simulation database used for collecting virtual workshop simulation scheduling data and a process route library used for recording process route examples from a physical workshop, the manufacturing task management center records the process route examples from the physical workshop into the process route library, and the process route library is matched with process routes for the physical workshop.
The workshop service center comprises a production information module, a frame state module, a man-hour online prediction module and an implementation scheduling scheme module.
As shown in fig. 2, an RFID identification system of a processing apparatus is shown, the processing apparatus includes an apparatus processing area for processing a workpiece, a loading buffer area for temporary storage of a loading material of the workpiece, a node buffer area for temporary storage of the workpiece between different processing nodes, a discharging buffer area for temporary storage of a discharging material of the workpiece, and an RFID reader/writer for reading RFID tag information, and the apparatus processing area, the loading buffer area, the node buffer area, and the discharging buffer area are all provided with RFID antennas for receiving the RFID tag information.
As shown in fig. 3, the physical workshop is schematically arranged, the physical workshop includes processing devices, a feeding conveying loop and a discharging conveying loop, the processing devices are provided with a plurality of feeding conveying loops, the feeding conveying loops are connected with the feeding buffer areas and the node buffer areas of the processing devices, the discharging conveying loops are connected with the discharging buffer areas of the processing devices, a feeding conveyor is arranged on the feeding conveying loops between adjacent processing devices, and a discharging conveyor is arranged on the discharging conveying loops between adjacent processing devices.
The allocation method of the real-time allocation system of the intelligent production workshop of the sanitary equipment comprises the following operation flows:
the cloud information exchanger converts the acquired order information into an order request, tracks the change of the order in real time and feeds back the production progress;
and under the environment of the cloud and twin workshop data centers, scheduling and configuring production resources, splitting production tasks, scheduling available resources, performing optimized production resource configuration on each processing node, minimizing vacant resources, improving production efficiency, tracking order tasks, and feeding real-time data in the production process back to the cloud and twin workshop data centers.
The manufacturing task management center decomposes a task request issued from the cloud information exchanger into subtasks, performs characteristic matching on the subtasks and a process route library to obtain a specific process route example, a process node configuration module disassembles a process into processing nodes and matches the processing nodes with corresponding processing equipment, a resource recovery module judges the processing equipment which is not matched with the process nodes as spare resources, and when the equipment operation condition is abnormal, a physical processing module automatically triggers early warning and redistributes the processing tasks to other processing equipment;
a workpiece to be processed is placed on a tray for processing circulation, a label of the workpiece is adhered to the tray, when the workpiece passes through a position corresponding to certain equipment, an RFID antenna and an RFID reader-writer acquire RFID label information for correct position judgment, and when the position judgment is correct, corresponding action is executed;
the EPC coding structure is adopted to classify and code various production resources such as equipment, personnel, processing tools and the like, a data base is provided for intelligent manufacturing, cloud ordering and monitoring management of enterprises and cloud data connection with other production enterprises, and the coding structure and the coding method thereof are referred to in the prior art and are not described herein again.
Be equipped with pan feeding conveying loop and ejection of compact conveying loop and establish ties the processing equipment in the physics workshop, and work piece input and output adopt solitary circuit, reduce the time that the processing equipment waited for material loading or ejection of compact, thereby improve the speed of work piece circulation, the work piece can get into pan feeding conveying loop and transport to the processing equipment that corresponds the process from solitary material loading conveyer, the work piece gets into the material loading buffer memory district earlier and keeps in, then get into equipment processing district and process, later select from contact buffer memory district or ejection of compact buffer memory district ejection of compact according to the technology demand, the work piece that gets into the contact buffer memory district gets into next process through pan feeding conveying loop and processes, the work piece that gets into the ejection of compact buffer district directly goes out the material through ejection of compact conveying loop.
In the traditional workshop monitoring management scheme, only a certain characteristic process can be monitored, the specific production process inside the equipment cannot be monitored, and the monitoring precision is insufficient, so that accurate analysis on production activities cannot be carried out. In the invention, the RFID antennas are arranged in the feeding cache region, the contact cache region, the equipment processing region and the discharging cache region, so that the monitoring precision in the production process can be greatly improved.
The physical workshop acquires scheduling related information in real time through the equipment operation module, the personnel on duty module, the processing task module and the production state information module, and records the scheduling information into a workshop real-time scheduling information base, and the real-time data is further transmitted to a manufacturing task management center;
the manufacturing task management center and the workshop twin data center carry out data interactive transmission in real time, the manufacturing task management center packages scheduling information from a physical workshop to generate a process route example, and inputs a process route library of the workshop twin data center, and meanwhile, the process route library can provide a process route example matching function for production of the physical workshop;
the virtual workshop carries out simulation according to scheduling real-time data, updates and optimizes the production process by combining historical data, transmits the optimized simulation data back to a workshop twin data center, and iterates and fuses the real-time scheduling data and the simulation data in the workshop twin data center;
the twin data driving workshop service center provides services including production information statistics, workshop state monitoring, man-hour online prediction, implementation of scheduling schemes and the like;
the method has the advantages that through real-time interaction and scheduling of the manufacturing task management center and the workshop twin data center and high-precision RFID identification, required scheduling data can be rapidly and accurately acquired, the scheduling accuracy is guaranteed, the running state of a workshop can be analyzed through the workshop twin data, the assembling time is predicted, the scheduling scheme is continuously adjusted and optimized through information interaction and iterative optimization of a physical workshop and a virtual workshop, and production disturbance is timely coped with.
The above description is only a few specific embodiments of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications made by the design concept should fall within the scope of the present invention.
Claims (10)
1. Real-time allotment system in sanitary equipment intelligence workshop, its characterized in that includes:
the physical workshop is used for executing the production plan and acquiring workshop scheduling information in real time;
the cloud information exchanger is used for converting the acquired order information into a task request, tracking order changes in real time and feeding back production progress;
the manufacturing task management center is used for decomposing a task request issued from the cloud information exchanger into subtasks, and performing characteristic matching on the subtasks and the process route library to obtain a specific process route;
the virtual workshop simulates production activities according to real-time workshop scheduling information acquired by the physical workshop, triggers an optimized production process by combining historical scheduling information, and uploads optimized simulation scheduling data to a manufacturing task management center;
the workshop twin data center is used for collecting and fusing real-time workshop scheduling information from a physical workshop and simulation scheduling information from a virtual workshop;
the workshop service center is used for workshop service and driving the workshop service information to be executed by a physical workshop through the workshop twin data center;
the physical workshop transmits real-time scheduling information to a manufacturing task management center, the manufacturing task management center drives the physical workshop to execute a production task, information interaction and iterative optimization are carried out between the physical workshop and a virtual workshop, information interaction is carried out between the cloud information exchanger and the manufacturing task management center, information interaction is carried out between the manufacturing task management center and a workshop twin data center, simulation information is transmitted to the manufacturing task management center by the virtual workshop, the manufacturing task management center drives the virtual workshop to simulate production, the workshop twin data center drives a workshop service center, and the workshop service center outputs service data to the workshop twin data center.
2. The sanitary equipment intelligent production workshop real-time deployment system of claim 1, wherein: the physical workshop comprises a workshop real-time scheduling information base, the physical workshop records scheduling information into the workshop real-time scheduling information base in real time, and real-time data are transmitted to the manufacturing task management center through the workshop real-time scheduling information base.
3. The sanitary equipment intelligent production workshop real-time deployment system of claim 1, wherein: the real-time workshop scheduling information base comprises an equipment operation information module, a personnel on-duty information module, a processing task information module and a production state information module.
4. The sanitary equipment intelligent production workshop real-time deployment system of claim 1, wherein: the physical workshop further comprises a resource recovery module, a physical processing module and a process node configuration module, wherein the process node configuration module is a process node matching processing device, and the resource recovery module judges the processing device which is not matched with the process node as a spare resource.
5. The sanitary equipment intelligent production workshop real-time deployment system of claim 1, wherein: the workshop twin data center comprises a simulation database used for collecting virtual workshop simulation scheduling data and a process route library used for recording process route examples from a physical workshop, the manufacturing task management center records the process route examples from the physical workshop into the process route library, and the process route library is matched with process routes for the physical workshop.
6. The sanitary equipment intelligent production workshop real-time deployment system of claim 1, wherein: the workshop service center comprises a production information module, a frame state module, a man-hour online prediction module and an implementation scheduling scheme module.
7. The sanitary equipment intelligent production workshop real-time deployment system of claim 1, wherein: the processing equipment comprises an equipment processing area for processing the workpiece, a loading cache area for temporary storage of workpiece loading, a node cache area for temporary storage of the workpiece between different processing joints, a discharge cache area for temporary storage of workpiece discharge and an RFID reader-writer for reading RFID tag information, wherein the equipment processing area, the loading cache area, the node cache area and the discharge cache area are all provided with RFID antennas for receiving the RFID tag information.
8. The sanitary equipment intelligent production workshop real-time deployment system of claim 1, wherein: the physical workshop comprises processing equipment, a feeding conveying loop line and a discharging conveying loop line, wherein the processing equipment is provided with a plurality of processing equipment, the feeding conveying loop line is connected with a feeding cache region and a node cache region of each processing equipment, the discharging conveying loop line is connected with a discharging cache region of each processing equipment, a feeding conveyor is arranged on the feeding conveying loop line between the adjacent processing equipment, and a discharging conveyor is arranged on the discharging conveying loop line between the adjacent processing equipment.
9. The method for deploying the real-time deploying system of the intelligent production workshop of the sanitary equipment according to any one of claims 1 to 8, comprising the following procedures:
the cloud information exchanger converts the acquired order information into an order request, tracks the change of the order in real time and feeds back the production progress;
the manufacturing task management center decomposes a task request issued from the cloud information exchanger into subtasks, performs characteristic matching on the subtasks and a process route library to obtain a specific process route example, a process node configuration module disassembles a process into processing nodes and matches the processing nodes with corresponding processing equipment, a resource recovery module judges the processing equipment which is not matched with the process nodes as spare resources, and when the equipment operation condition is abnormal, a physical processing module automatically triggers early warning and redistributes the processing tasks to other processing equipment;
the physical workshop acquires scheduling related information in real time through the equipment operation module, the personnel on duty module, the processing task module and the production state information module, and records the scheduling information into a workshop real-time scheduling information base, and the real-time data is further transmitted to a manufacturing task management center;
the manufacturing task management center and the workshop twin data center carry out data interactive transmission in real time, the manufacturing task management center packages scheduling information from a physical workshop to generate a process route example, and inputs a process route library of the workshop twin data center, and meanwhile, the process route library can provide a process route example matching function for production of the physical workshop;
the virtual workshop carries out simulation according to scheduling real-time data, updates and optimizes the production process by combining historical data, transmits the optimized simulation data back to a workshop twin data center, and iterates and fuses the real-time scheduling data and the simulation data in the workshop twin data center;
the twin data drive workshop service center provides services including production information statistics, workshop state monitoring, man-hour online prediction, implementation of scheduling schemes and the like.
10. The blending method of the real-time blending system of the intelligent production workshop of the sanitary equipment according to claim 9, wherein the blending method comprises the following steps: the method comprises the steps that a workpiece to be machined is placed on a tray to be machined and subjected to machining circulation, a label of the workpiece is adhered to the tray, when the workpiece passes through a position corresponding to certain equipment, an RFID antenna and an RFID reader-writer acquire RFID label information to judge whether the position is correct, and when the position is judged to be correct, corresponding action is executed.
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| CN110765589A (en) * | 2019-09-10 | 2020-02-07 | 上海大学 | Intelligent workshop virtual and real synchronous monitoring system and method based on digital twins |
| CN110705868A (en) * | 2019-09-27 | 2020-01-17 | 江苏科技大学 | Twin data-based ship yard operation scheduling system and scheduling method thereof |
| CN111857065A (en) * | 2020-06-08 | 2020-10-30 | 北京邮电大学 | Intelligent production system and method based on edge calculation and digital twinning |
| CN113093680A (en) * | 2021-04-07 | 2021-07-09 | 上海电机学院 | FIMS system architecture design method based on digital twin technology |
| CN113222224A (en) * | 2021-04-25 | 2021-08-06 | 南京航空航天大学 | Real-time scheduling method for Internet of things workshop based on twin intelligent workpiece |
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