CN116187729A - Resource scheduling method, device, equipment and storage medium based on digital twin - Google Patents
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Abstract
The application discloses a resource scheduling method, device, equipment and storage medium based on digital twin, which relate to the technical field of digital twin and comprise the following steps: modeling the current production line to obtain a digital twin production line; carrying out capacity calculation according to the real-time operation condition of the real-time monitoring production line, and simulating each resource scheduling scheme determined based on the capacity calculation result through the digital twin production line; evaluating the scheduling effect of all resource scheduling schemes based on the simulation result; and scheduling the resources of the production line according to the optimal scheduling scheme in all the resource scheduling schemes determined by the evaluation result. According to the method, the digital twin production line is established, the simulation analysis of the resource scheduling is carried out by utilizing the resource scheduling scheme determined by the digital twin production line according to the productivity calculation result, so that the resources are preferentially scheduled on the production line, the problem that the material scheduling of the production line is not timely due to the operation mode of manual on-site query of the production line is solved, and the overall performance of the production line is improved.
Description
Technical Field
The present invention relates to the field of digital twin technologies, and in particular, to a method, an apparatus, a device, and a storage medium for scheduling resources based on digital twin.
Background
Currently, most enterprises rely on manual calculation for capacity calculation, and assist in a statistical mode by intelligent software, so that a statistical process is complex, planning and scheduling are performed according to the capacity, and continuous planning and adjustment are required, so that staff needs to continuously combine on-site conditions to perform capacity adjustment, that is, the capacity of the current production line cannot be tracked in real time according to actual conditions, and therefore the problem that subsequent order planning is uneven in distribution and the scheduling of material of the production line is not timely is caused.
Disclosure of Invention
Accordingly, the invention aims to provide a resource scheduling method, device, equipment and storage medium based on digital twinning, which can change the operation mode of manual production line on-site inquiry, thereby solving the problem of untimely scheduling of production line materials and further improving the overall performance of the production line. The specific scheme is as follows:
in a first aspect, the present application discloses a resource scheduling method based on digital twinning, including:
modeling a current production line to obtain a digital twin production line corresponding to the production line;
monitoring the real-time operation condition of the production line in real time, and calculating the productivity according to the real-time operation condition to obtain a corresponding productivity calculation result;
determining a corresponding resource scheduling scheme based on the productivity calculation result, and simulating each resource scheduling scheme through the digital twin production line to obtain a corresponding simulation result;
evaluating the scheduling effect of all the resource scheduling schemes based on the simulation result to obtain evaluation results corresponding to the resource scheduling schemes;
and determining an optimal scheduling scheme in all the resource scheduling schemes according to the evaluation results corresponding to the resource scheduling schemes, and scheduling the resources of the production line according to the optimal scheduling scheme.
Optionally, the modeling the current production line to obtain a digital twin production line corresponding to the production line includes:
and modeling the current production line by using a preset modeling technology to obtain a digital twin production line corresponding to the production line.
Optionally, the monitoring the real-time operation condition of the production line in real time includes:
collecting real-time operation data and product information of production equipment on the production line in real time; the product information comprises product bar code information, scanning code scanning period information of a scanned product bar code and product material information required by product production.
Optionally, the resource scheduling method based on digital twin further includes:
transmitting the real-time operation data and the product information to a digital twin platform, and binding the real-time operation data and the product information to the digital twin production line so that the digital twin production line performs digital twin presentation according to the real-time operation data and the product information; the digital twin platform is a digital cloud platform constructed based on the digital twin production line.
Optionally, before the sending the real-time running data and the product information to the digital twin platform, the method further includes:
and carrying out data cleaning processing on the real-time operation data and the product information.
Optionally, the calculating the capacity according to the real-time running condition to obtain a corresponding capacity calculation result includes:
correlating the real-time operation data of the production equipment with the product information to obtain a corresponding correlation, and determining all processing data of each product based on the correlation;
calculating the production tact of each product according to the equipment operation tact in all the processing data and the real-time operation data;
calculating the real-time capacity quantity of a preset period obtained by the capacity load of the production line based on the production tact;
and calculating the current productivity level of the current production line based on the real-time productivity number.
Optionally, the determining a corresponding resource scheduling scheme based on the productivity calculation result includes:
determining a production plan and a production beat of the production line based on the current productivity level;
and determining a resource scheduling scheme for scheduling the production equipment, materials and staff on the production line according to the production plan and the production takt.
In a second aspect, the present application discloses a resource scheduling device based on digital twinning, including:
the model building module is used for modeling the current production line to obtain a digital twin production line corresponding to the production line;
the operation monitoring module is used for monitoring the real-time operation condition of the production line in real time;
the capacity calculation module is used for carrying out capacity calculation according to the real-time running condition to obtain a corresponding capacity calculation result;
the scheme determining module is used for determining a corresponding resource scheduling scheme based on the productivity calculation result;
the scheduling simulation module is used for simulating each resource scheduling scheme through the digital twin production line to obtain a corresponding simulation result;
the effect evaluation module is used for evaluating the scheduling effect of the resource scheduling scheme based on the simulation result to obtain a corresponding evaluation result;
the optimal scheme determining module is used for determining the optimal scheduling scheme in all the resource scheduling schemes according to the evaluation results corresponding to the resource scheduling schemes;
and the resource scheduling module is used for scheduling the resources of the production line according to the optimal scheduling scheme.
In a third aspect, the present application discloses an electronic device comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the disclosed digital twinning-based resource scheduling method.
In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein the computer program when executed by a processor implements the steps of the disclosed digital twinning-based resource scheduling method.
It can be seen that the present application provides a resource scheduling method based on digital twinning, including: modeling a current production line to obtain a digital twin production line corresponding to the production line; monitoring the real-time operation condition of the production line in real time, and calculating the productivity according to the real-time operation condition to obtain a corresponding productivity calculation result; determining a corresponding resource scheduling scheme based on the productivity calculation result, and simulating each resource scheduling scheme through the digital twin production line to obtain a corresponding simulation result; evaluating the scheduling effect of all the resource scheduling schemes based on the simulation result to obtain evaluation results corresponding to the resource scheduling schemes; and determining an optimal scheduling scheme in all the resource scheduling schemes according to the evaluation results corresponding to the resource scheduling schemes, and scheduling the resources of the production line according to the optimal scheduling scheme. Therefore, the method monitors the real-time running condition of the current production line to perform corresponding capacity calculation, establishes the digital twin production line to perform simulation analysis of resource scheduling by utilizing the resource scheduling scheme determined by the digital twin production line according to the capacity calculation result, and is convenient for preferentially scheduling the existing resources on the current production line, so that the overall performance of the production line is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for scheduling resources based on digital twinning disclosed in the present application;
FIG. 2 is a schematic diagram of a particular production line twinning replication of the present disclosure;
FIG. 3 is a schematic diagram of capacity calculation and data binding disclosed in the present application;
FIG. 4 is a schematic diagram of a data cleansing process disclosed herein;
FIG. 5 is a schematic diagram of an optimized scheduling of resources disclosed herein;
FIG. 6 is a schematic diagram of a resource scheduling device based on digital twinning disclosed in the present application;
fig. 7 is a block diagram of an electronic device disclosed in the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Currently, most enterprises rely on manual calculation for capacity calculation, and assist in a statistical mode by intelligent software, so that a statistical process is complex, planning and scheduling are performed according to the capacity, and continuous planning and adjustment are required, so that staff needs to continuously combine on-site conditions to perform capacity adjustment, that is, the capacity of the current production line cannot be tracked in real time according to actual conditions, and therefore the problem that subsequent order planning is uneven in distribution and the scheduling of material of the production line is not timely is caused. Therefore, the resource scheduling scheme based on digital twinning can change the operation mode of manual production line site inquiry, so that the problem of untimely scheduling of production line materials is solved, and the overall performance of the production line is improved.
The embodiment of the invention discloses a resource scheduling method based on digital twinning, which is shown in fig. 1 and comprises the following steps:
step S11: modeling the current production line to obtain a digital twin production line corresponding to the production line.
In this embodiment, a digital twin line corresponding to a current production line is constructed, and specifically, a preset modeling technology is used to model the current production line to obtain a digital twin line corresponding to the production line. The preset modeling techniques may include, but are not limited to, a picture modeling technique, a two-dimensional drawing modeling technique, a three-dimensional drawing modeling technique, and the like. And the digital twin production line is built to collect and integrate various data of the current production line, including data such as the running state of production equipment, the working condition of personnel, the flow direction of material flows, the quantity of materials and the like, and the data can be collected and processed through sensors, monitoring systems or ERP (Enterprise Resource Planning, enterprise resource planning systems) and other devices, for example, as shown in fig. 2, three-dimensional model data of the current production line are obtained, two-dimensional model data, mapping data, shooting materials and the like, an OBJ format or an FBX format three-dimensional model is built according to the data by using the preset modeling technology, the built three-dimensional model is subjected to light-weight processing, related data is bound to the three-dimensional model, and the three-dimensional model is driven by using the data. By utilizing the preset modeling technology and utilizing the technologies of material mapping, effect rendering and the like to carry out realistic description, the scene is consistent with the twin, namely, the modeling software is used for carrying out 1:1 three-dimensional model re-engraving according to the scene, so that the actual production line is identical with the twin production line. It should be noted that when the digital twin model is built, various physical characteristics and operation rules of the current production line, and various abnormal conditions possibly occurring in the production process, need to be considered.
Step S12: and monitoring the real-time operation condition of the production line in real time, and calculating the productivity according to the real-time operation condition to obtain a corresponding productivity calculation result.
In the embodiment, the running condition of the current production line is monitored in real time through various sensor devices so as to determine the real-time running condition of the current production line, and the real-time monitoring of the production line is realized. For example, the running state of production equipment on the current production line, the flowing condition of materials, the working condition of staff and the like are monitored in real time. Specifically, real-time operation data and product information of production equipment on the production line are collected in real time; the product information comprises product bar code information, scanning code scanning period information of a scanned product bar code and product material information required by product production. For another example, the real-time operation data of the production equipment is obtained through the internet of things technology, and the information of the products produced by the production equipment is obtained through the product bar code technology. It should be noted that the data acquisition frequency needs to be below 1s, so that the consistency of the site and the twin platform is ensured, the production site is more attached when the productivity is observed, and the known production beat is more accurate and effective.
In this embodiment, real-time monitoring of a production line is implemented, after real-time operation data and product information of production equipment on a current production line are collected, the real-time operation data and the product information are sent to a digital twin platform, and the real-time operation data and the product information are bound to the digital twin production line so that the digital twin production line performs digital twin presentation according to the real-time operation data and the product information; the digital twin platform is a digital cloud platform constructed based on the digital twin production line. It can be understood that all data are expressed in a three-dimensional model form and analyzed in a capacity dynamic chart form through a digital twin platform, so that the digital twin of the intelligent production line is realized. For example, referring to fig. 3, relevant job management data, such as MES (Manufacturing Execution System, manufacturing process execution system), ERP, APS (Advanced Planning and Scheduling, advanced planning and scheduling system) and other management systems, are obtained in real time from a management system, and the digital twin production line is driven to run with the real-time data, and is bound with relevant data, so as to calculate capacity data, and a real-time capacity calculation curve is presented on a digital twin platform in the form of a big data chart and the like, and further, in the digital twin platform, the real-time running beats of production equipment on the current production line can be displayed in three dimensions, and then, six major elements including personnel, equipment, materials, quality, running track (method) and environment on site are comprehensively managed in combination with the relevant data obtained from the management system, and comprehensive scheduling is performed in combination with site conditions.
The digital twin model can express the current production products and the required time prediction, and can dynamically analyze and present the productivity of the production line, thereby realizing accurate simulation and monitoring of a physical system, such as real-time monitoring of the running state of production equipment, the flow direction and the quantity of material flows, the working condition of personnel and the like. When the three-dimensional digital twin production line is displayed on the display terminal, a user can conveniently know the information such as the position, the production period, the equipment operation condition and the like of the product produced by the current production line.
In this embodiment, before the real-time running data and the product information are sent to the digital twin platform, the method further includes: and carrying out data cleaning processing on the real-time operation data and the product information. For example, referring to fig. 4, data such as collected equipment data, production management data, and text data is subjected to data cleansing processing to filter out dirty data, erroneous data, and the cleansed data is then stored in a database for subsequent data application. The data transmission manner may include, but is not limited to, kafka (i.e. distributed streaming platform) or MQTT (Message Queuing Telemetry Transport, message queue telemetry transport protocol) message queues.
In this embodiment, after the real-time operation condition of the production line is monitored in real time, capacity calculation is performed according to the real-time operation condition to obtain a corresponding capacity calculation result. Specifically, the real-time operation data of the production equipment and the product information are associated to obtain corresponding association relations, and all processing data of each product are determined based on the association relations; calculating the production tact of each product according to the equipment operation tact in all the processing data and the real-time operation data; calculating the real-time capacity quantity of a preset period obtained by the capacity load of the production line based on the production tact; and calculating the current productivity level of the current production line based on the real-time productivity number. Wherein, the product production takt represents the time interval of the product code scanning period.
For example, the equipment is numbered, A1-An exists in each equipment, real-time running data of the equipment is bound according to the number, a product is also subjected to a unique identification code, and B1-Bn is bound according to the number, when each product is processed by each equipment, the equipment number and the product identification code are correspondingly associated and bound, so that the association between the equipment and the product is realized, all processing data of each product (B1-Bn) can be known based on the association between the equipment and the product, then the production beat of each product (B1-Bn) can be calculated and determined according to the equipment running beat, the capacity load of the current production line is calculated according to the production beat of each product to obtain the real-time capacity quantity of each time period, for example, the capacity quantity is calculated by using a preset capacity calculation formula, namely the capacity is equal to the ratio between unit working time and the cycle time, wherein the unit working time represents the equipment running time, and the cycle time is based on the product production beat time calculated by the real-time running data of the equipment, so that the dynamic capacity of the production line can be calculated according to the real-time cycle time, and then the capacity quantity of the current production line can be predicted based on the current capacity level of the current production line. For example, referring to fig. 5, after calculating the capacity level of the current production line, the capacity of the next day, next week or next month is predicted to determine whether to increase or decrease the capacity, and if the capacity is decreased, the resource input is decreased, such as the input of human resources is decreased, the input of raw material resources is decreased, or the equipment adjustment is performed such that the capacity is decreased; if the productivity is not changed, the current state is maintained; if the capacity is increased, the input of resources is increased, for example, the existing productivity is optimized, for example, the production beat is increased, logistics is optimized, the process is improved, or new productivity is increased, for example, staff is increased or a new production line is increased, that is, comprehensive scheduling is performed on personnel, materials, equipment, so that the optimized adjustment of the input of the resources is realized, for example, the real-time production beat of the day is counted for the next day plan, the material distribution time of each time period of the next day and the time adjustment of the total plan of the week is performed on the next day, the equipment maintenance plan is timely adjusted, the conventional scheduling mode is greatly improved, the field is remotely controlled through a digital twin platform, the field situation is changed in a three-dimensional mode, the field situation is effectively combined, the field problem is clearly known by the scheduling staff, the surplus situation of the materials, the field situation of the productivity is improved, the control strength of the production plan is improved, the production efficiency is better understood, the production efficiency and the production risk is better understood, the production cost is better understood, the production process is better and the production cost is better, and the risk is better understood, and the production cost is better.
Step S13: and determining a corresponding resource scheduling scheme based on the productivity calculation result, and simulating each resource scheduling scheme through the digital twin production line to obtain a corresponding simulation result.
In this embodiment, after capacity calculation is performed according to the real-time operation condition to obtain a corresponding capacity calculation result, a corresponding resource scheduling party is determined based on the capacity calculation result. Specifically, determining a production plan and a production takt of the production line based on the current productivity level; and determining a resource scheduling scheme for scheduling the production equipment, materials and staff on the production line according to the production plan and the production takt. For example, equipment, materials and personnel are scheduled according to production plans and tacts to ensure optimal operating conditions of the production line. The equipment scheduling refers to starting, stopping and adjusting production equipment according to a production plan and a production beat so as to ensure the optimal utilization rate and production efficiency of the equipment; the material allocation refers to allocating and distributing materials of a production line according to a production plan and a production beat so as to ensure optimal utilization and production efficiency of the materials; personnel scheduling refers to scheduling and arranging staff of a production line according to a production plan and a production takt to ensure optimal utilization and production efficiency of the staff.
It should be noted that resource scheduling requires real-time monitoring of the operating state and production efficiency of the production line, and the utilization and operating conditions of various resources. Through real-time monitoring and scheduling, the problems and bottlenecks of the production line can be found in time, and corresponding measures are adopted to optimize and adjust so as to ensure the optimal running state and the maximum productivity utilization rate of the production line.
In this embodiment, each resource scheduling scheme is simulated by the digital twin production line to obtain a corresponding simulation result. It can be understood that different simulation scenes are set according to different resource scheduling schemes, the set simulation scenes are simulated to simulate the actual running condition of the production line through a digital twin model, and then the running condition of the production line can be known through simulation results to find out the production bottleneck and the optimization space.
Step S14: and evaluating the scheduling effect of all the resource scheduling schemes based on the simulation result to obtain evaluation results corresponding to the resource scheduling schemes.
In this embodiment, after the digital twin production line simulates each resource scheduling scheme to obtain a corresponding simulation result, the scheduling effects of all the resource scheduling schemes are evaluated based on the simulation result to obtain an evaluation result corresponding to each resource scheduling scheme.
Step S15: and determining an optimal scheduling scheme in all the resource scheduling schemes according to the evaluation results corresponding to the resource scheduling schemes, and scheduling the resources of the production line according to the optimal scheduling scheme.
In this embodiment, after the scheduling effects of all the resource scheduling schemes are evaluated based on the simulation results to obtain evaluation results corresponding to each of the resource scheduling schemes, an optimal scheduling scheme in all the resource scheduling schemes is determined according to the evaluation results corresponding to each of the resource scheduling schemes, and the resources of the production line are scheduled according to the optimal scheduling scheme. That is, the scheduling effects of different resource scheduling schemes are evaluated, indexes of production efficiency, production quality, cost and the like in each resource scheduling scheme are compared to determine the optimal scheduling scheme in all the resource scheduling schemes, and then the resources of the production line are scheduled according to the optimal scheduling scheme, so that the production efficiency and quality are improved, that is, the running efficiency and quality of the production line can be gradually optimized through continuous simulation analysis and optimization adjustment.
Therefore, in the embodiment of the application, the real-time running condition of the current production line is monitored to perform corresponding capacity calculation, and the digital twin production line is established to perform simulation analysis of resource scheduling by utilizing the resource scheduling scheme determined by the digital twin production line according to the capacity calculation result, so that the existing resources are preferentially scheduled on the current production line, and the overall performance of the production line is improved.
Correspondingly, the embodiment of the application also discloses a resource scheduling device based on digital twinning, and referring to fig. 6, the device comprises:
the model construction module 11 is used for modeling a current production line to obtain a digital twin production line corresponding to the production line;
an operation monitoring module 12 for monitoring the real-time operation condition of the production line in real time;
the capacity calculation module 13 is used for carrying out capacity calculation according to the real-time running condition to obtain a corresponding capacity calculation result;
a scheme determining module 14, configured to determine a corresponding resource scheduling scheme based on the capacity calculation result;
the scheduling simulation module 15 is configured to simulate each resource scheduling scheme through the digital twin production line to obtain a corresponding simulation result;
the effect evaluation module 16 is configured to evaluate a scheduling effect of the resource scheduling scheme based on the simulation result to obtain a corresponding evaluation result;
an optimal solution determining module 17, configured to determine an optimal scheduling solution in all the resource scheduling solutions according to the evaluation results corresponding to each of the resource scheduling solutions;
and the resource scheduling module 18 is configured to schedule the resources of the production line according to the optimal scheduling scheme.
From the above, in the embodiment of the present application, the real-time operation condition of the current production line is monitored to perform corresponding capacity calculation, and a digital twin production line is established to perform simulation analysis of resource scheduling by using the resource scheduling scheme determined by the digital twin production line according to the capacity calculation result, so that the existing resources are preferentially scheduled on the current production line, thereby improving the overall performance of the production line.
In some specific embodiments, the model building module 11 may specifically include:
the model construction unit is used for modeling the current production line by using a preset modeling technology to obtain a digital twin production line corresponding to the production line.
In some specific embodiments, the operation monitoring module 12 may specifically include:
the data acquisition unit is used for acquiring real-time operation data and product information of production equipment on the production line in real time; the product information comprises product bar code information, scanning code scanning period information of a scanned product bar code and product material information required by product production.
In some specific embodiments, the digital twin-based resource scheduling apparatus may specifically include:
the data transmitting module is used for transmitting the real-time operation data and the product information to a digital twin platform;
the data binding module is used for binding the real-time operation data and the product information to the digital twin production line so that the digital twin production line carries out digital twin presentation according to the real-time operation data and the product information; the digital twin platform is a digital cloud platform constructed based on the digital twin production line.
In some specific embodiments, before the sending the real-time operation data and the product information to the digital twin platform, the method specifically may include:
and the data cleaning module is used for carrying out data cleaning processing on the real-time operation data and the product information.
In some specific embodiments, the capacity calculation module 13 may specifically include:
the data association unit is used for associating the real-time operation data of the production equipment with the product information to obtain a corresponding association relation, and determining all processing data of each product based on the association relation;
a product production takt calculating unit, configured to calculate a product production takt of each product according to all the processing data and the equipment operation takt in the real-time operation data;
the productivity calculation unit is used for calculating the real-time productivity quantity of a preset period obtained by the current productivity load of the production line based on the production tact;
a capacity level calculation unit for calculating a current capacity level of the current production line based on the real-time capacity number;
in some specific embodiments, the scheme determination module 14 may specifically include:
a scheduling determination unit configured to determine a production plan and a production tact of the production line at present based on the current capacity level;
and the scheme determining unit is used for determining a resource scheduling scheme for scheduling the production equipment, materials and staff on the current production line according to the production plan and the production takt.
Further, the embodiment of the application also provides electronic equipment. Fig. 7 is a block diagram of an electronic device 20, according to an exemplary embodiment, and the contents of the diagram should not be construed as limiting the scope of use of the present application in any way.
Fig. 7 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. Wherein the memory 22 is configured to store a computer program that is loaded and executed by the processor 21 to implement the relevant steps of the digital twin-based resource scheduling method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon may include an operating system 221, a computer program 222, and the like, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and computer programs 222, which may be Windows Server, netware, unix, linux, etc. The computer program 222 may further comprise a computer program capable of performing other specific tasks in addition to the computer program capable of performing the digital twin-based resource scheduling method performed by the electronic device 20 as disclosed in any of the previous embodiments.
Further, the embodiment of the application also discloses a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is loaded and executed by a processor, the steps of the resource scheduling method based on digital twin disclosed in any embodiment are realized.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above detailed description of the resource scheduling method, device, equipment and storage medium based on digital twin provided by the invention applies specific examples to illustrate the principle and implementation of the invention, and the above description of the examples is only used to help understand the method and core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. The resource scheduling method based on digital twinning is characterized by comprising the following steps:
modeling a current production line to obtain a digital twin production line corresponding to the production line;
monitoring the real-time operation condition of the production line in real time, and calculating the productivity according to the real-time operation condition to obtain a corresponding productivity calculation result;
determining a corresponding resource scheduling scheme based on the productivity calculation result, and simulating each resource scheduling scheme through the digital twin production line to obtain a corresponding simulation result;
evaluating the scheduling effect of all the resource scheduling schemes based on the simulation result to obtain evaluation results corresponding to the resource scheduling schemes;
and determining an optimal scheduling scheme in all the resource scheduling schemes according to the evaluation results corresponding to the resource scheduling schemes, and scheduling the resources of the production line according to the optimal scheduling scheme.
2. The resource scheduling method based on digital twin according to claim 1, wherein modeling the current production line to obtain a digital twin production line corresponding to the production line comprises:
and modeling the current production line by using a preset modeling technology to obtain a digital twin production line corresponding to the production line.
3. The digital twinning-based resource scheduling method of claim 1, wherein the monitoring the real-time operation of the production line in real time comprises:
collecting real-time operation data and product information of production equipment on the production line in real time; the product information comprises product bar code information, scanning code scanning period information of a scanned product bar code and product material information required by product production.
4. The digital twinning-based resource scheduling method of claim 3, further comprising:
transmitting the real-time operation data and the product information to a digital twin platform, and binding the real-time operation data and the product information to the digital twin production line so that the digital twin production line performs digital twin presentation according to the real-time operation data and the product information; the digital twin platform is a digital cloud platform constructed based on the digital twin production line.
5. The digital twinning-based resource scheduling method of claim 4, wherein before the sending the real-time operational data and the product information to a digital twinning platform, further comprising:
and carrying out data cleaning processing on the real-time operation data and the product information.
6. The digital twin-based resource scheduling method according to any one of claims 3 to 5, wherein the performing capacity calculation according to the real-time operation condition to obtain a corresponding capacity calculation result includes:
correlating the real-time operation data of the production equipment with the product information to obtain a corresponding correlation, and determining all processing data of each product based on the correlation;
calculating the production tact of each product according to the equipment operation tact in all the processing data and the real-time operation data;
calculating the real-time capacity quantity of a preset period obtained by the capacity load of the production line based on the production tact;
and calculating the current productivity level of the current production line based on the real-time productivity number.
7. The digital twin based resource scheduling method of claim 6, wherein the determining a corresponding resource scheduling scheme based on the capacity calculation result comprises:
determining a production plan and a production beat of the production line based on the current productivity level;
and determining a resource scheduling scheme for scheduling the production equipment, materials and staff on the production line according to the production plan and the production takt.
8. A digital twinning-based resource scheduling apparatus, comprising:
the model building module is used for modeling the current production line to obtain a digital twin production line corresponding to the production line;
the operation monitoring module is used for monitoring the real-time operation condition of the production line in real time;
the capacity calculation module is used for carrying out capacity calculation according to the real-time running condition to obtain a corresponding capacity calculation result;
the scheme determining module is used for determining a corresponding resource scheduling scheme based on the productivity calculation result;
the scheduling simulation module is used for simulating each resource scheduling scheme through the digital twin production line to obtain a corresponding simulation result;
the effect evaluation module is used for evaluating the scheduling effect of the resource scheduling scheme based on the simulation result to obtain a corresponding evaluation result;
the optimal scheme determining module is used for determining the optimal scheduling scheme in all the resource scheduling schemes according to the evaluation results corresponding to the resource scheduling schemes;
and the resource scheduling module is used for scheduling the resources of the production line according to the optimal scheduling scheme.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the digital twin based resource scheduling method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program; wherein the computer program when executed by a processor implements the steps of the digital twin based resource scheduling method of any of claims 1 to 7.
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