Logistics system simulation method, device and equipment based on digital twinning and medium

Abstract

The invention discloses a logistics system simulation method and device based on digital twinning, equipment and a medium, and relates to the technical field of digital twinning, and the method comprises the steps: analyzing a logistics line in a target logistics system, so as to determine the operation direction of each production line and a plurality of production line assemblies; classifying the plurality of production line components based on the running direction and the distribution condition to generate a plurality of steering components and a plurality of running components; virtual sensors used for automatic simulation are arranged in the steering assembly and the operation assembly; according to the operation direction, constructing corresponding logic links by using the plurality of steering components and the plurality of operation components, and defining component numbers for the components in the logic links; all the logic links are connected through the component numbers and the distribution conditions, and superposition of the components between the links is carried out at the joints, so that simulation is carried out through the digital twin model, the component numbers and the virtual sensors. Therefore, the digital twinning scene can be simulated accurately and efficiently.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and in particular to a logistics system simulation method, device, equipment and medium based on digital twin. Background Art

[0002] The logistics industry is facing an urgent need to shorten the design and verification cycle of new strategies, and to achieve efficient optimization and flexible allocation of resources. Digital twin technology, with its efficient verification capabilities, continuous analysis capabilities and intelligent decision-making capabilities, has become an important supporting force in the digital transformation of enterprises. The current logistics system is often very complex, involving multiple components and logical interactive control. At the same time, the logistics lines in the logistics system are also extremely large, with a large number of components. The existing scene building technology directly regards the entire scene of the logistics system as a whole for rapid configuration. The efficiency of building virtual scenes and simulating various scenes in the logistics process needs to be improved. In addition, due to the low stability of the built scenes, the reliability of supporting logistics decisions through logical simulation is low, which makes it difficult to meet the needs of more efficient and intelligent logistics management and operations.

[0003] In summary, how to accurately and efficiently simulate digital twin scenarios is a problem that needs to be solved urgently. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a logistics system simulation method, device, equipment and medium based on digital twin, which can accurately and efficiently simulate the digital twin scene. The specific scheme is as follows:

[0005] In a first aspect, the present application provides a logistics system simulation method based on digital twins, comprising:

[0006] Analyze the logistics lines in the target logistics system to determine the running direction of each production line in the logistics line and a number of production line components corresponding to each production line;

[0007] The plurality of production line components are classified based on the running direction and the distribution of the logistics lines to generate a plurality of steering components and a plurality of running components corresponding to each of the production lines; the steering components and the running components are both provided with virtual sensors for automated simulation;

[0008] According to the running direction, the component running links corresponding to the production lines are constructed by using the plurality of steering components and the plurality of running components to obtain corresponding logical links, and component numbers are defined for the components in the logical links based on the running direction;

[0009] The logical links are connected using the defined component numbers and the distribution conditions, and the components between the links are superimposed at the connection points of the logical links, so as to simulate the target logistics system using the obtained digital twin model of the target logistics system, the component numbers and the information fed back by the virtual sensors.

[0010] Optionally, defining component numbers for components in each logical link based on the running direction includes:

[0011] For a target component among the components, a running end point of the target component is determined based on the running direction of the target component, and a one-to-one corresponding end point number is set for each running end point; the target component is any component among the components;

[0012] Determining the endpoint number of the operation endpoint of the target component;

[0013] If the number of the endpoints is one, the endpoint number of the running endpoint of the target component is used as the component number of the target component;

[0014] If there are multiple endpoints, the endpoint numbers of the running endpoints of the target component are subjected to a bitwise XOR operation to superimpose the endpoint numbers, and the superimposed numbers are used as the component number of the target component;

[0015] The superimposed number obtained by superimposing any number of end point numbers is different from all the end point numbers.

[0016] Optionally, the superimposing of inter-link components at the connection of each logical link includes:

[0017] Determine, from the logical links, respectively, a connection link set corresponding to a connection point of each logical link, and evaluate the height between each connection link in the connection link set to obtain a height difference between each connection link;

[0018] The target running component and the target steering component at the connection are determined from the components of each connection link, and the target running component and the target steering component are superimposed according to the height difference.

[0019] Optionally, before simulating the target logistics system using the obtained digital twin model of the target logistics system, the component numbers, and the information fed back by the virtual sensors, the method further includes:

[0020] The logic control parameters of the components are set based on the received parameter setting instructions, and the logic control parameters of the previous component and the next component corresponding to each target component in the components are saved in the target component.

[0021] Optionally, the virtual sensor includes a first sensor and a second sensor; wherein, the first sensor is located at the end of each component along the corresponding running direction, and is used to detect whether there is an object at the end of the component, and generates a corresponding first trigger signal when the existence of an object is detected at the end of the component; the second sensor is flat and attached to the top of each component, and is used to detect whether an object has arrived at the current component and identify the item number information, and generates a corresponding second trigger signal when it is detected that an object has arrived at the current component.

[0022] Optionally, the simulating the target logistics system by using the obtained digital twin model of the target logistics system, the component number, and the information fed back by the virtual sensor includes:

[0023] Assigning a corresponding item number to the item to be transported according to the target running destination corresponding to the item to be transported;

[0024] Transporting the items to be transported in the obtained digital twin model of the target logistics system based on the item number and the component number;

[0025] When the second trigger signal fed back by the second sensor of any of the components is detected, the item number of the item to be transported is obtained through the second sensor, and the component number of the current component and the item number are bitwise ANDed to obtain a corresponding first operation result;

[0026] If the value of the first operation result is greater than zero, the current component is started, and when the first trigger signal fed back by the first sensor of the current component is detected, it is determined whether the second sensor of the next component of the current component has generated the corresponding second trigger signal;

[0027] If it is determined that the second sensor of the next component of the current component has generated the corresponding second trigger signal, then it is determined whether the first sensor of the next component has generated the corresponding first trigger signal, so as to determine whether to allow the continued transportation of the item to be transported based on the judgment result.

[0028] Optionally, the process of transporting the item to be transported in the obtained digital twin model of the target logistics system based on the item number and the component number includes:

[0029] When the object to be transported is transported to the connection of each logical link, the second trigger signal fed back by the second sensor in the steering component and the running component at the connection is monitored;

[0030] Acquire the item number of the item to be transported through the second sensor, and determine the first component number of the steering component and the second component number of the running component;

[0031] Performing a bitwise AND operation on the first component number and the second component number and the item number respectively to obtain a corresponding second operation result;

[0032] If the value obtained by calculating the second calculation result and the first component number is greater than zero, the steering component is started;

[0033] If the value obtained by calculating the second operation result and the second component number is greater than zero, the running component is started.

[0034] In a second aspect, the present application provides a logistics system simulation device based on digital twins, comprising:

[0035] A logistics line analysis module is used to analyze the logistics lines in the target logistics system to determine the running direction of each production line in the logistics line and a number of production line components corresponding to each production line;

[0036] A component classification module, used for classifying the plurality of production line components based on the running direction and the distribution of the logistics lines, so as to generate a plurality of steering components and a plurality of running components corresponding to each of the production lines; the steering components and the running components are both provided with virtual sensors for automated simulation;

[0037] A number definition module, used to construct component operation links corresponding to each production line using the plurality of steering components and the plurality of operation components according to the operation direction to obtain corresponding logical links, and define component numbers for each component in each logical link based on the operation direction;

[0038] A component overlay module is used to connect the logical links using the defined component numbers and the distribution, and to overlay the components between the links at the connection points of the logical links, so as to simulate the target logistics system using the obtained digital twin model of the target logistics system, the component numbers and the information fed back by the virtual sensors.

[0039] In a third aspect, the present application provides an electronic device, including:

[0040] Memory, used to store computer programs;

[0041] A processor is used to execute the computer program to implement the aforementioned logistics system simulation method based on digital twins.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned digital twin-based logistics system simulation method is implemented.

[0043] In the present application, the logistics lines in the target logistics system are analyzed to determine the running direction of each production line in the logistics line and a number of production line components corresponding to each production line; the several production line components are classified based on the running direction and the distribution of the logistics lines to generate a number of steering components and a number of running components corresponding to each production line; the steering components and the running components are provided with virtual sensors for automatic simulation; the component running links corresponding to each production line are constructed according to the running direction using the several steering components and the several running components to obtain corresponding logical links, and component numbers are defined for each component in the logical links based on the running direction; the logical links are connected using the defined component numbers and the distribution, and the components between the links are superimposed at the connection points of the logical links, so as to simulate the target logistics system using the obtained digital twin model of the target logistics system, the component numbers and the information fed back by the virtual sensors. As can be seen from the above, the present application first analyzes the logistics lines in the target logistics system to determine the running direction of each production line and the corresponding several production line components, classifies the several production line components based on the running direction and the distribution of the logistics lines, and generates corresponding several steering components and several running components, and constructs each logical link according to the running direction using the several steering components and the several running components, and defines the component number for each component in each logical link at the same time, and then connects the logical links using the component number and the distribution, and superimposes the components between the links at the connection, so as to use the obtained digital twin model of the target logistics system, the component number and the information fed back by the virtual sensor to simulate the target logistics system. In this way, through the above process of the present application, the logistics lines in the entire target logistics system are divided into several logical links, and the component numbers of each component in the several logical links are defined based on the running direction, and the divided several logical links and component numbers are quickly configured, which reduces the time required for fast configuration and the coupling degree between components, thereby accurately and efficiently simulating the digital twin scene. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0045] Figure 1 A flow chart of a logistics system simulation method based on digital twin disclosed in this application;

[0046] Figure 2 A timing diagram of a logistics system simulation method based on digital twin disclosed in this application;

[0047] Figure 3 A schematic diagram of a component structure disclosed in this application;

[0048] Figure 4 A digital twin model and component numbering schematic diagram disclosed in this application;

[0049] Figure 5 A schematic diagram of a logical link distribution disclosed in this application;

[0050] Figure 6 A schematic diagram of a component logic control flow disclosed in this application;

[0051] Figure 7 A flowchart of a specific logistics system simulation method based on digital twins disclosed in this application;

[0052] Figure 8 A schematic diagram of a component logic control flow disclosed in this application;

[0053] Fig. 9 This is a structural schematic diagram of a logistics system simulation device based on digital twins disclosed in this application;

[0054] Fig.10 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] The existing scenario building technology directly regards the entire scenario of the logistics system as a whole for rapid configuration. The efficiency of building virtual scenarios and simulating various scenarios in the logistics process needs to be improved. In addition, due to the low stability of the built scenarios, the reliability of supporting logistics decisions through logical simulation is low, which makes it difficult to meet the needs of more efficient and intelligent logistics management and operations.

[0057] In order to overcome the above technical problems, the present application provides a logistics system simulation method based on digital twins to accurately and efficiently simulate digital twin scenarios.

[0058] See also Figure 1 As shown, the embodiment of the present invention discloses a logistics system simulation method based on digital twin, including:

[0059] Step S11: Analyze the logistics lines in the target logistics system to determine the running direction of each production line in the logistics line and a number of production line components corresponding to each production line.

[0060] In this embodiment, the logistics lines in the target logistics system are first analyzed to determine the running direction of each production line in the logistics line and the corresponding production line components of each production line. The production line components are operating devices in the actual logistics scene of the target logistics system, including but not limited to conveyor rollers, stackers, elevators, jacking devices, etc.; the production line is composed of the production line components and is used to transport the items to be transported in the target logistics system.

[0061] It should be pointed out that, unlike the prior art which directly considers the logistics system as a whole for configuration to form a digital twin model for the logistics system, this embodiment first obtains all components under the target logistics system and a scenario diagram including the running direction of each production line, and generates the logical links corresponding to each production line based on the scenario diagram using the obtained components to obtain a logical link distribution diagram, and then uses the logical link distribution diagram to perform rapid configuration on the digital twin platform to obtain a digital twin model of the target logistics system, and uses the digital twin model to simulate the target logistics system. Figure 2 The figure shows a timing diagram of a logistics system simulation method based on digital twins provided by the present application. In this way, the present embodiment first analyzes the logistics line in the target logistics system to determine the running direction and production line components of each production line in the logistics line, so as to use the running direction and the production line components to divide the entire logistics line in the target logistics system, thereby reducing the complexity of configuring the target logistics system.

[0062] Step S12: classify the plurality of production line components based on the running direction and the distribution of the logistics lines to generate a plurality of steering components and a plurality of running components corresponding to each of the production lines; the steering components and the running components are both provided with virtual sensors for automated simulation.

[0063] In this embodiment, the several production line components are classified using the running direction and the distribution of the logistics lines to generate several steering components and several running components corresponding to each production line. The classification of the production line components includes the steering components and the running components, and the steering components and the running components are the corresponding running devices mapped to the virtual scene by the production line components; the steering components and the running components are both provided with virtual sensors for automated simulation; the steering components are mainly used at the intersection nodes between the production lines to change the direction of the running route of the items; the running components are used to transport items along the corresponding running direction.

[0064] It should be pointed out that the virtual sensor includes a first sensor and a second sensor; wherein the first sensor is located at the end of each component along the corresponding running direction, and is used to detect whether there is an object at the end of the component, and generates a corresponding first trigger signal when the object is detected at the end of the component; the second sensor is laid flat and attached to the top of each component, and is used to detect whether an object has arrived at the current component and identify the number information of the object, and generates a corresponding second trigger signal when the object has arrived at the current component. That is, each of the steering component and the running component is provided with the first sensor and the second sensor, and the weight information of the object can be detected by the second sensor to determine whether an object has arrived at the current component and identify the number information of the object. At the same time, the first sensor can be used to detect whether there is an object at the end of the component or whether an object has arrived or left. Figure 3 The figure shows a schematic diagram of a component structure provided by the present application, wherein the in-place sensor in the figure is the first sensor, and the load sensor is the second sensor.

[0065] It should be further pointed out that, since the steering component is mainly used at the intersection nodes between the production lines, each production line only contains one steering component or no steering component, which varies according to the connection between the production lines and the distribution of the production lines in the logistics line. In this way, this embodiment classifies the several production line components according to the running direction and the distribution of the logistics line to obtain several steering components and several running components, so as to divide the logistics line by using the several steering components and the several running components to improve the efficiency of configuring the target logistics system; at the same time, virtual sensors are set in the steering components and the running components to monitor the arrival of the components in time when the items are transported to the components, so as to realize automatic logic control.

[0066] Step S13: construct component operation links corresponding to each production line using the plurality of steering components and the plurality of operation components according to the operation direction to obtain corresponding logical links, and define component numbers for each component in each logical link based on the operation direction.

[0067] In this embodiment, according to the running direction, the component running links corresponding to the production lines are constructed by using the several steering components and the several running components to obtain the corresponding logical links, and the component numbers are defined for the components in the logical links according to the running direction. The component running links are virtual logical links corresponding to the production lines in the actual target logistics system, which are obtained by dividing the logistics lines according to the running directions of the corresponding production lines; the component numbers are used to match the item information obtained by the virtual sensor when transporting items, so as to realize the automatic logic control during the transportation of items.

[0068] It should be pointed out that the logical link is classified into row links and column links based on rows or columns. Among them, the row link refers to a logical link composed of components arranged in rows, and the column link refers to a logical link composed of components arranged in columns. There can be multiple logical links in the same target logistics system, and the logical links can cross and overlap. It can be understood that, similar to the structure of the production line, the logical link only contains one steering component or does not contain the steering component. At the connection of each logical link, the running components and the steering components between the logical links are connected in a superimposed form. Usually, the running component belongs to the logical link before the steering, and the steering component belongs to the logical link after the steering. Therefore, the steering component is not included in the logical link corresponding to the first production line in the logistics line. At the last running component along the running direction, the running component is superimposed with the steering component of the next connected logical link; for nodes involving more than two logical links in the connection, one of the logical links does not contain the steering component. For the generation of the respective logical links, the component operation links are constructed by using the several steering components and the several operation components according to the operation direction and the distribution situation, and the component operation links are used as the obtained logical links.

[0069] It should be noted that the component number of each component is defined according to the number of endpoints of the running endpoints corresponding to each component, and the processing flow is as follows: for the target component among the components, the running endpoint of the target component is determined based on the running direction of the target component, and a one-to-one corresponding endpoint number is set for each running endpoint; the target component is any component among the components; the number of endpoints of the running endpoint of the target component is determined; if the number of endpoints is one, the endpoint number of the running endpoint of the target component is used as the component number of the target component; if the number of endpoints is multiple, the endpoint numbers of the running endpoints of the target component are bitwise XORed to superimpose the endpoint numbers, and the superimposed number obtained is used as the component number of the target component; wherein, the superimposed number obtained after superimposing any number of endpoint numbers is different from all the endpoint numbers. That is, for any component among the components, that is, the target component, the running end point corresponding to the target component is determined according to the running direction of the target component, and a corresponding end point number is set for each of the running end points, and then the end point number of the running end points corresponding to the target component is determined. When the number of end points is one, the end point number of the running end point of the target component can be directly used as the component number of the target component. When the number of end points is multiple, the end point numbers of the multiple running end points corresponding to the target component can be bitwise XORed to superimpose the end point numbers, and the superimposed number obtained is used as the component number of the target component. It can be understood that since the component number is used to realize the automated logical control in the process of transporting items, in order to avoid the duplication of the superimposed number with the component number of the target component corresponding to only one running end point, resulting in errors in the transportation of items, it is necessary to ensure that the superimposed number obtained after superimposing any number of end point numbers is different from all the end point numbers. For example, in this embodiment, the endpoint numbers of the running endpoints may be set to numbers in a digital sequence constructed by exponential powers of two, so as to ensure that the sum of any two or more numbers in the digital sequence does not repeat with numbers in the digital sequence. Figure 4 The figure shows a digital twin model and a schematic diagram of component numbering provided by the present application. In this way, the present embodiment constructs a number of steering components and a number of operating components into component operating links corresponding to each production line according to the operating direction to obtain corresponding logical links, so as to quickly configure the logical links and increase the stability of the digital twin model; at the same time, an exponential power of two is selected as the terminal number of the operating end point to ensure that the sum of any two or more numbers in the digital sequence does not repeat the numbers in the digital sequence to avoid errors in the operating end point of the item transportation.

[0070] Step S14: connect the logical links using the defined component numbers and the distribution conditions, and superimpose the components between the links at the connection points of the logical links, so as to simulate the target logistics system using the obtained digital twin model of the target logistics system, the component numbers and the information fed back by the virtual sensors.

[0071] In this embodiment, the logical links are connected according to the defined component numbers and the distribution conditions, and the components between the links are superimposed at the connection points of the logical links to obtain a digital twin model of the target logistics system, and the target logistics system is simulated using the digital twin model, the component numbers and the information fed back by the virtual sensors.

[0072] It should be pointed out that the inter-link components at the connection of each logical link in this embodiment are stacked in the form of up and down stacking. Since in the actual target logistics system, there may be a height difference between the two intersecting production lines in the upper and lower spaces, this embodiment needs to stack the inter-link components according to the height between each connection link. The processing flow is as follows: determine the connection link set corresponding to the connection of each logical link from each logical link, and evaluate the height between each connection link in the connection link set to obtain the height difference between each connection link; determine the target operation component and the target steering component at the connection from the components of each connection link, and stack the target operation component and the target steering component according to the height difference. Among them, the target steering component is not only used to change the movement direction of the running route of the item, but also used to change the height of the running route. That is, determine the connection link set corresponding to the connection point from each logical link, evaluate the height between each connection link in the connection link set to determine the height difference between each connection link, and determine the target operation component and the target steering component of the connection point, and superimpose the target operation component and the target steering component according to the height difference. For example, if the connection is a low-to-high operation route, the target steering component is located above the target operation component to increase the transportation height of the items; if the connection is a high-to-low operation route, the target steering component is located below the target operation component to reduce the transportation height of the items. Figure 5 The figure shows a schematic diagram of a logical link distribution provided by the present application. It is understandable that at the connection, the tops of the sensing heights of the corresponding virtual sensors of the target steering component and the target running component can be set to be consistent to ensure that when the object reaches the connection, the virtual sensor can detect the object at the same time.

[0073] It should be further pointed out that before simulating the target logistics system, the present embodiment also needs to set the parameters of the components, and the processing flow is as follows: the logic control parameters of the components are set based on the received parameter setting instructions, and the logic control parameters of the previous component and the next component corresponding to each target component in the components are saved in the target component. Among them, the parameter setting instructions are obtained through the preset setting interface and set by the operator according to the actual simulation requirements; the logic control parameters refer to the physical properties of the components, including but not limited to speed, acceleration, deceleration, friction coefficient, acceleration and deceleration time, starting speed, etc. The physical properties are consistent with the physical properties of the components in the actual target logistics system to ensure that the generated digital twin model is consistent with the actual target logistics system to the greatest extent. That is, the logic control parameters of the components are set according to the received parameter setting instructions, and the logic control parameters of the previous component and the next component corresponding to each target component in the components are saved in the target component to realize the communication between the components, so as to facilitate the intelligent identification of the possible blockage of items during the transportation of items. It can be understood that the component at the first position in the logical link has no corresponding previous component, and the previous component parameter in its logical control parameters is set to empty, and the component at the end has no corresponding next component, and the next component parameter in its logical control parameters is set to empty.

[0074] It should be noted that the processing flow for simulating the target logistics system is as follows: assigning corresponding item numbers to the items to be transported according to the target running destination corresponding to the items to be transported; transporting the items to be transported in the obtained digital twin model of the target logistics system based on the item number and the component number; when the second trigger signal fed back by the second sensor of any of the components is monitored, the item number of the item to be transported is obtained through the second sensor, and the component number of the current component and the item number are bitwise ANDed to obtain the corresponding first operation result; if the value of the first operation result is greater than zero, the current component is started, and when the first trigger signal fed back by the first sensor of the current component is monitored, it is determined whether the second sensor of the next component of the current component has generated the corresponding second trigger signal; if it is determined that the second sensor of the next component of the current component has generated the corresponding second trigger signal, it is determined whether the first sensor of the next component has generated the corresponding first trigger signal, so as to determine whether to allow the items to be transported to continue to be transported based on the obtained judgment result. That is, first, a corresponding article number is assigned to the article to be transported according to the target running destination that the article to be transported needs to reach, that is, the destination number of the target running destination is used as the article number, and then the article to be transported is transported in the digital twin model of the target logistics system based on the article number and the component number. During this period, when the second trigger signal fed back by the second sensor of any of the components is monitored, the article number of the article to be transported is obtained through the second sensor, and the component number of the current component is determined. The component number and the article number are bitwise ANDed. If the value of the first operation result is greater than zero, it indicates that the component number matches the article number, indicating that the article to be transported needs the current component. Transport, start the current component so that the item to be transported continues to be transported on the current component along the running direction, and when the first trigger signal fed back by the first sensor of the current component is monitored, that is, when the item to be transported is transported to the end of the component of the current component, determine whether the second sensor of the next component has generated the corresponding second trigger signal, that is, determine whether the next component is empty; if it is determined that the second trigger signal has been generated, it indicates that the next component is not empty and other items are transported thereon, and continue to determine whether the first sensor of the next component has generated the first trigger signal, that is, determine whether there are items at the end of the component of the next component, so as to determine whether to allow the item to be transported to continue to be transported based on the judgment result.

[0075] It needs further explanation that, Figure 6The figure shows a schematic diagram of a component logic control process provided by the present application. The simulation process of the target logistics system described above is as follows: Figure 6 Specifically, if it is determined that there is an item at the end of the next component, that is, Figure 6 If the result of judging whether the next component is in place is yes, it indicates that the transportation process of the items at the next component has been stalled due to machine failure or other reasons, and the transportation of items ahead is blocked. The current component will be stopped to prevent the current component from continuing to transport the items to be transported, so as to avoid worsening of the blockage. If it is judged that there is no item at the end of the next component or the next component is empty, the next component will be started so that the next component can continue to transport the items it is transporting or transport the items to be transported that have been transported by the current component. At the same time, when it is monitored that the first trigger signal fed back by the first sensor of the current component disappears, it means that the item to be transported has been transported by the current component to the next component, and it is determined whether the previous component of the current component is empty, that is, whether the second sensor of the previous component has generated the corresponding second trigger signal. If it is determined that the previous component is not empty, it means that there are items in the previous component that may be suspended due to blockage. This embodiment can start the previous component to ensure that the suspended items are continued to be transported; if it is determined that the previous component is empty, it means that there are no items that need to be transported on the previous component for the time being, and the previous component can be stopped to avoid unnecessary energy loss and reduce the operating cost of the target logistics system. In this way, this embodiment uses the digital twin model, component number and information fed back by the virtual sensor to automatically simulate the target logistics system, realizes automated logic control, and ensures that the items are transported to the preset operation end point without manual adjustment when the items are transported to the intersection node; the logic control parameters of the previous component and the next component corresponding to each component are saved in the component, so as to realize communication between the components, which is helpful to intelligently identify the possible blockage of items during the transportation of items; in the process of the items being transported, the item information and transportation blockage are intelligently identified based on the information fed back by the virtual sensor, and corresponding measures are taken according to the identified situation. When a blockage occurs, the component is intelligently stopped to avoid the aggravation of the blockage, and the component is intelligently started when the blockage is alleviated, so that the items can continue to be transported without manual operation, thereby improving the transportation efficiency of the logistics line.

[0076] As can be seen from the above, the embodiment of the present application first analyzes the logistics lines in the target logistics system to determine the running direction of each production line and the corresponding several production line components, and classifies the several production line components based on the running direction and the distribution of the logistics lines to generate corresponding several steering components and several running components, and constructs each logical link according to the running direction using the several steering components and the several running components, and defines the component number for each component in the each logical link, and then connects the each logical link using the component number and the distribution, and superimposes the components between the links at the connection point, so as to use the obtained digital twin model of the target logistics system, the component number and the information fed back by the virtual sensor to simulate the target logistics system. In this way, through the above process of the embodiment of the present application, on the one hand, the logistics lines in the target logistics system are first analyzed to determine the running directions and production line components of each production line in the logistics line, so as to use the running directions and the production line components to divide the entire logistics line in the target logistics system, thereby reducing the complexity of configuring the target logistics system; on the other hand, virtual sensors are set in the steering components and the running components, so as to timely monitor the arrival of the components when the items are transported to the components, thereby realizing automatic logical control; on the other hand, a number of steering components and a number of running components are constructed into component running links corresponding to each production line according to the running direction, so as to obtain corresponding logical links, so as to quickly configure each logical link, thereby reducing the time required for quick configuration. The coupling degree between time and components increases the stability of the digital twin model; on the one hand, the exponential power of two is selected as the terminal number of the operation end point to ensure that the sum of any two or more numbers in the digital sequence does not repeat the numbers in the digital sequence to avoid errors in the operation end point of the item transportation; on the other hand, in the process of item transportation, the item information and transportation congestion are intelligently identified based on the information fed back by the virtual sensor, and corresponding measures are taken according to the identified situation. When congestion occurs, the component is intelligently stopped to avoid worsening of the congestion. When the congestion is alleviated, the component is intelligently started, and the continued transportation of items can be achieved without manual operation, thereby improving the transportation efficiency of the logistics line, and then accurately and efficiently simulating the digital twin scenario.

[0077] Based on the above embodiments, it can be known that through the method of the present application, when the items to be transported are transported to the connection points of each logical link, the steering component and the operating component can be combined to transport the items to be transported to ensure that the items to be transported are transported to the preset destination. For this reason, this embodiment describes in detail how to combine the steering component and the operating component to transport the items to be transported. Figure 7 As shown, the embodiment of the present invention discloses a logistics system simulation method based on digital twin, including:

[0078] Step S21: When the items to be transported are transported to the connection points of the logical links, a second trigger signal fed back by a second sensor in a steering component and a running component at the connection points is monitored.

[0079] In this embodiment, at the connection point of each logical link, the corresponding steering component and the running component are stacked up and down, and the sensing heights of the second sensors set in the steering component and the running component are consistent. Therefore, when the items to be transported are transported to the connection point, the second trigger signal fed back by the steering component at the connection point and the second sensor in the running component will be monitored at the same time to obtain the information that the items to be transported are transported to the connection point, triggering the subsequent component logic control process. Figure 8 The figure shows a schematic diagram of a component logic control process provided by the present application. When the item runs to the intersection node position, that is, the connection point, the corresponding sensors of the steering component and the running component are triggered at the same time, and judgment is made based on the information obtained by the sensor, so as to selectively start the component according to the judgment result. In this way, when the second trigger signal fed back by the second sensor of the steering component and the running component is detected at the connection point of each logical link, it means that the item is transported to the connection point, so as to trigger the subsequent judgment process and realize automatic logic control.

[0080] Step S22: acquiring the item number of the item to be transported through the second sensor, and determining the first component number of the steering component and the second component number of the running component.

[0081] In this embodiment, after the second trigger signal is detected, the item number of the item to be transported can be obtained through the second sensor, and the first component number of the steering component and the second component number of the running component can be determined. It can be understood that the second sensor is not only used to detect whether an item has arrived at the current component, but also can be used to identify the information of the item, including but not limited to the item number, so the item number of the item to be transported can be obtained through the second sensor. In addition, it is also necessary to determine the first component number of the steering component and the second component number of the running component. The item number is defined according to the terminal number of the running terminal of the item to be transported, and the component number is defined according to the terminal number of one or more running terminals corresponding to the component. Therefore, after determining the item number and the component number, the route that the item to be transported needs to continue to run after the connection can be determined according to the item number and the component number.

[0082] Step S23, respectively perform a bitwise AND operation on the first component number and the second component number with the item number to obtain a corresponding second operation result.

[0083] In this embodiment, the first component number and the second component number are respectively bitwise ANDed with the article number to obtain the corresponding second operation result. The second operation result includes the operation result of the first component number and the article number, and the operation result of the second component number and the article number. That is, the first component number is matched with the article number, and the second component number is matched with the article number. It can be understood that the steering component belongs to the logical link after the steering, and the running component belongs to the logical link before the steering, so the first component number and the second component number corresponding to the two will not contain the same terminal number, so in the second matching result, only one of the first component number and the second component number matches the article number, and the second matching result can be used to determine the logical link to which the item to be transported needs to be transported, thereby realizing automatic logical control at the connection, and the item to be transported can be transported to the preset running terminal without manual operation.

[0084] Step S24: If the value obtained by calculating the second calculation result and the first component number is greater than zero, the steering component is started.

[0085] In this embodiment, if the value obtained by calculating the first component number in the second calculation result is greater than zero, it indicates that the first component number matches the item number, indicating that the item to be transported needs to be transported to a logical link different from the current logical link. Therefore, the steering component needs to be started to change the running direction of the item to be transported to ensure that the item to be transported is transported to the preset running end point.

[0086] Step S25: If the value obtained by calculating the second operation result and the second component number is greater than zero, the running component is started.

[0087] In this embodiment, if the value obtained by calculating the second component number in the second calculation result is greater than zero, it indicates that the second component number matches the item number, indicating that the item to be transported needs to continue to be transported in the current logical link without changing the running direction. Therefore, the running component needs to be started to ensure that the item to be transported is transported to the preset running end point.

[0088] As can be seen from the above, when the embodiment of the present application simulates the target logistics system, if the items to be transported are transported to the connection of each logical link, the second trigger signal fed back by the second sensor in the steering component and the running component at the connection is monitored, and then the item number of the item to be transported is obtained through the second sensor, and the first component number of the steering component and the second component number of the running component are determined at the same time, and the first component number and the second component number are matched with the item number respectively to obtain the corresponding second matching result. If the second matching result indicates that the first component number matches the item number, the steering component is started, and if the second matching result indicates that the second component number matches the item number, the running component is started. In this way, through the above process of the embodiment of the present application, when the items to be transported are transported to the connection, the subsequent running direction of the items to be transported is determined according to the item number and the component number to ensure that the items to be transported are transported to the preset running end point, thereby realizing automatic logic control, and the items to be transported can be transported to the preset running end point without manual operation.

[0089] Accordingly, see Fig. 9 As shown, the embodiment of the present application also provides a logistics system simulation device based on digital twin, including:

[0090] The logistics line analysis module 11 is used to analyze the logistics lines in the target logistics system to determine the running direction of each production line in the logistics line and a number of production line components corresponding to each production line;

[0091] A component classification module 12, for classifying the plurality of production line components based on the running direction and the distribution of the logistics line, so as to generate a plurality of steering components and a plurality of running components corresponding to each of the production lines; the steering components and the running components are both provided with virtual sensors for automated simulation;

[0092] A numbering definition module 13 is used to construct component operation links corresponding to each production line using the plurality of steering components and the plurality of operation components according to the operation direction to obtain corresponding logical links, and define component numbers for each component in each logical link based on the operation direction;

[0093] The component overlay module 14 is used to connect the logical links using the defined component numbers and the distribution conditions, and to overlay the components between the links at the connection points of the logical links, so as to simulate the target logistics system using the obtained digital twin model of the target logistics system, the component numbers and the information fed back by the virtual sensors.

[0094] As can be seen from the above, the embodiment of the present application first analyzes the logistics lines in the target logistics system to determine the running direction of each production line and the corresponding several production line components, classifies the several production line components based on the running direction and the distribution of the logistics line, and generates corresponding several steering components and several running components, and constructs each logical link according to the running direction using the several steering components and the several running components, and defines the component number for each component in each logical link, and then connects the logical links using the component number and the distribution, and superimposes the components between the links at the connection, so as to use the obtained digital twin model of the target logistics system, the component number and the information fed back by the virtual sensor to simulate the target logistics system. In this way, through the above process of the embodiment of the present application, the logistics lines in the entire target logistics system are divided into several logical links, and the component numbers of each component in the several logical links are defined based on the running direction, and the divided several logical links and component numbers are quickly configured, which reduces the time required for fast configuration and the coupling degree between components, thereby accurately and efficiently simulating the digital twin scene.

[0095] In some specific implementations, the number definition module 13 may specifically include:

[0096] a number setting unit, for determining, for a target component among the components, a running end point of the target component based on a running direction of the target component, and setting a one-to-one corresponding end point number for each running end point; the target component is any component among the components;

[0097] a quantity determination unit, configured to determine the endpoint quantity of the operation endpoint of the target component;

[0098] a first number determination unit, configured to use the endpoint number of the running endpoint of the target component as the component number of the target component if the number of the endpoints is one;

[0099] A second number determination unit is used for, if there are multiple endpoints, performing a bitwise XOR operation on the endpoint numbers of the running endpoints of the target component to superimpose the endpoint numbers, and using the superimposed number obtained as the component number of the target component;

[0100] The superimposed number obtained by superimposing any number of end point numbers is different from all the end point numbers.

[0101] In some specific implementations, the component stacking module 14 may specifically include:

[0102] A height evaluation unit, configured to respectively determine, from the logical links, a connection link set corresponding to a connection point of each logical link, and evaluate the heights between the connection links in the connection link set to obtain a height difference between the connection links;

[0103] The component superposition unit is used to determine the target running component and the target steering component at the connection point from the components of each connection link, and to superimpose the target running component and the target steering component according to the height difference.

[0104] In some specific implementations, the digital twin-based logistics system simulation device may further include:

[0105] The parameter saving unit is used to set the logic control parameters of each component based on the received parameter setting instruction, and save the logic control parameters of the previous component and the next component corresponding to each target component in the components to the target component.

[0106] In some specific embodiments, the virtual sensor includes a first sensor and a second sensor; wherein the first sensor is located at the end of each component along the corresponding running direction, and is used to detect whether there is an object at the end of the component, and generates a corresponding first trigger signal when the object is detected at the end of the component; the second sensor is flat and attached to the top of each component, and is used to detect whether an object has arrived at the current component and identify the number information of the object, and generates a corresponding second trigger signal when it is detected that an object has arrived at the current component.

[0107] In some specific implementations, the component stacking module 14 may specifically include:

[0108] A number assignment unit, used to assign corresponding item numbers to the items to be transported according to the target running destination corresponding to the items to be transported;

[0109] An article transport unit, configured to transport the article to be transported in the obtained digital twin model of the target logistics system based on the article number and the component number;

[0110] a first number matching unit, configured to, when detecting the second trigger signal fed back by the second sensor of any of the components, acquire the item number of the item to be transported through the second sensor, and perform a bitwise AND operation on the component number of the current component and the item number to obtain a corresponding first operation result;

[0111] a signal determination unit, configured to start the current component if the value of the first operation result is greater than zero, and determine whether the second sensor of the next component of the current component has generated the corresponding second trigger signal when monitoring the first trigger signal fed back by the first sensor of the current component;

[0112] A conditional judgment unit is used to judge whether the first sensor of the next component of the current component has generated the corresponding first trigger signal if it is determined that the second sensor of the next component of the current component has generated the corresponding second trigger signal, so as to determine whether to allow the continued transportation of the item to be transported based on the judgment result.

[0113] In some specific implementations, the component stacking module 14 may specifically include:

[0114] A signal monitoring unit, configured to monitor the second trigger signal fed back by the second sensor in the steering component and the running component at the connection when the item to be transported is transported to the connection of each logical link;

[0115] A third number determination unit, configured to obtain the item number of the item to be transported through the second sensor, and determine the first component number of the steering component and the second component number of the running component;

[0116] A second number matching unit, used for performing a bitwise AND operation on the first component number and the second component number with the item number, respectively, to obtain a corresponding second operation result;

[0117] A first component starting unit, configured to start the steering component if a value obtained by calculating the second calculation result and the first component number is greater than zero;

[0118] The second component starting unit is used to start the running component if the value obtained by calculating the second operation result and the second component number is greater than zero.

[0119] Furthermore, the present application also discloses an electronic device. Fig.10It is a structural diagram of an electronic device 20 shown according to an exemplary embodiment, and the content in the figure cannot be regarded as any limitation on the scope of use of this 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 and output interface 25 and a communication bus 26. Among them, the memory 22 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the digital twin-based logistics system simulation method disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment can specifically be an electronic computer.

[0120] In this embodiment, the power supply 23 is used to provide working 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 the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0121] In addition, the memory 22 as a carrier for resource storage may be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage method may be temporary storage or permanent storage.

[0122] The operating system 221 is used to manage and control the hardware devices and computer program 222 on the electronic device 20, which can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program that can be used to complete the digital twin-based logistics system simulation method performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks.

[0123] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned disclosed logistics system simulation method based on digital twin is implemented. For the specific steps of the method, reference may be made to the corresponding contents disclosed in the aforementioned embodiments, and no further description will be given here.

[0124] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be 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 parts can be referred to the method part.

[0125] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0126] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0127] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0128] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A logistics system simulation method based on digital twins, characterized in that: include: Analyze the logistics lines in the target logistics system to determine the running direction of each production line in the logistics line and a number of production line components corresponding to each production line; The plurality of production line components are classified based on the running direction and the distribution of the logistics lines to generate a plurality of steering components and a plurality of running components corresponding to each of the production lines; the steering components and the running components are both provided with virtual sensors for automated simulation; According to the running direction, the component running links corresponding to the production lines are constructed by using the plurality of steering components and the plurality of running components to obtain corresponding logical links, and component numbers are defined for the components in the logical links based on the running direction; The logical links are connected using the defined component numbers and the distribution conditions, and the components between the links are superimposed at the connection points of the logical links, so as to simulate the target logistics system using the obtained digital twin model of the target logistics system, the component numbers and the information fed back by the virtual sensors.

2. The logistics system simulation method based on digital twin according to claim 1 is characterized in that: The defining component numbers for the components in the logical links based on the running directions respectively includes: For a target component among the components, a running end point of the target component is determined based on the running direction of the target component, and a one-to-one corresponding end point number is set for each running end point; the target component is any component among the components; Determining the endpoint number of the operation endpoint of the target component; If the number of the endpoints is one, the endpoint number of the running endpoint of the target component is used as the component number of the target component; If there are multiple endpoints, the endpoint numbers of the running endpoints of the target component are subjected to a bitwise XOR operation to superimpose the endpoint numbers, and the superimposed numbers are used as the component number of the target component; The superimposed number obtained by superimposing any number of end point numbers is different from all the end point numbers.

3. The logistics system simulation method based on digital twin according to claim 1 is characterized in that: The superposition of components between links at the connection of each logical link includes: Determine, from the logical links, respectively, a connection link set corresponding to a connection point of each logical link, and evaluate the height between each connection link in the connection link set to obtain a height difference between each connection link; The target running component and the target steering component at the connection are determined from the components of each connection link, and the target running component and the target steering component are superimposed according to the height difference.

4. The logistics system simulation method based on digital twin according to claim 1 is characterized in that: Before simulating the target logistics system using the obtained digital twin model of the target logistics system, the component numbers, and the information fed back by the virtual sensor, the method further includes: The logic control parameters of the components are set based on the received parameter setting instructions, and the logic control parameters of the previous component and the next component corresponding to each target component in the components are saved in the target component.

5. The logistics system simulation method based on digital twin according to any one of claims 1 to 4, characterized in that: The virtual sensor includes a first sensor and a second sensor; wherein the first sensor is located at the end of each component along the corresponding running direction, and is used to detect whether there is an object at the end of the component, and generates a corresponding first trigger signal when the object is detected at the end of the component; the second sensor is laid flat and attached to the top of each component, and is used to detect whether an object has arrived at the current component and identify the number information of the object, and generates a corresponding second trigger signal when it is detected that an object has arrived at the current component.

6. The logistics system simulation method based on digital twin according to claim 2 is characterized in that: The simulating the target logistics system by using the obtained digital twin model of the target logistics system, the component number, and the information fed back by the virtual sensor includes: Assigning a corresponding item number to the item to be transported according to the target running destination corresponding to the item to be transported; Transporting the items to be transported in the obtained digital twin model of the target logistics system based on the item number and the component number; When the second trigger signal fed back by the second sensor of any of the components is detected, the item number of the item to be transported is obtained through the second sensor, and the component number of the current component is bitwise ANDed with the item number to obtain a corresponding first operation result; If the value of the first operation result is greater than zero, the current component is started, and when the first trigger signal fed back by the first sensor of the current component is detected, it is determined whether the second sensor of the next component of the current component has generated the corresponding second trigger signal; If it is determined that the second sensor of the next component of the current component has generated the corresponding second trigger signal, then it is determined whether the first sensor of the next component has generated the corresponding first trigger signal, so as to determine whether to allow the continued transportation of the item to be transported based on the judgment result.

7. The logistics system simulation method based on digital twin according to claim 6 is characterized in that: The process of transporting the item to be transported in the digital twin model of the target logistics system obtained based on the item number and the component number includes: When the object to be transported is transported to the connection of each logical link, the second trigger signal fed back by the second sensor in the steering component and the running component at the connection is monitored; Acquire the item number of the item to be transported through the second sensor, and determine the first component number of the steering component and the second component number of the running component; Performing a bitwise AND operation on the first component number and the second component number and the item number respectively to obtain a corresponding second operation result; If the value obtained by calculating the second calculation result and the first component number is greater than zero, the steering component is started; If the value obtained by calculating the second operation result and the second component number is greater than zero, the running component is started.

8. A logistics system simulation device based on digital twin, characterized in that: include: A logistics line analysis module is used to analyze the logistics lines in the target logistics system to determine the running direction of each production line in the logistics line and a number of production line components corresponding to each production line; A component classification module, used for classifying the plurality of production line components based on the running direction and the distribution of the logistics lines, so as to generate a plurality of steering components and a plurality of running components corresponding to each of the production lines; the steering components and the running components are both provided with virtual sensors for automated simulation; A number definition module, used to construct component operation links corresponding to each production line using the plurality of steering components and the plurality of operation components according to the operation direction to obtain corresponding logical links, and define component numbers for each component in each logical link based on the operation direction; A component overlay module is used to connect the logical links using the defined component numbers and the distribution, and to overlay the components between the links at the connection points of the logical links, so as to simulate the target logistics system using the obtained digital twin model of the target logistics system, the component numbers and the information fed back by the virtual sensors.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, used to execute the computer program to implement the logistics system simulation method based on digital twins as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store computer programs; wherein, when the computer program is executed by a processor, it implements the digital twin-based logistics system simulation method as described in any one of claims 1 to 7.

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