CN118194490A - Simulation calculation method and device for logistics system - Google Patents
Simulation calculation method and device for logistics system Download PDFInfo
- Publication number
- CN118194490A CN118194490A CN202211591786.XA CN202211591786A CN118194490A CN 118194490 A CN118194490 A CN 118194490A CN 202211591786 A CN202211591786 A CN 202211591786A CN 118194490 A CN118194490 A CN 118194490A
- Authority
- CN
- China
- Prior art keywords
- simulation
- target
- calculation
- service
- logistics
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004088 simulation Methods 0.000 title claims abstract description 615
- 238000004364 calculation method Methods 0.000 title claims abstract description 253
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000009826 distribution Methods 0.000 claims abstract description 24
- 238000003860 storage Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 9
- 238000004806 packaging method and process Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 26
- 238000004458 analytical method Methods 0.000 description 26
- 238000010586 diagram Methods 0.000 description 17
- 238000004519 manufacturing process Methods 0.000 description 10
- 230000006399 behavior Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 9
- 230000006870 function Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 7
- 238000012795 verification Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 238000007726 management method Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000011144 upstream manufacturing Methods 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000005538 encapsulation Methods 0.000 description 3
- 238000012856 packing Methods 0.000 description 3
- 238000012384 transportation and delivery Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a simulation calculation method and device of a logistics system, and relates to the technical field of logistics. One embodiment of the method comprises the following steps: receiving a simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation; acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter; and sending the target configuration parameters to a target simulation calculation service for simulation calculation to obtain a simulation calculation result. The embodiment realizes the global simulation calculation of the fully-automatic and integrated logistics network system, improves the simulation calculation efficiency and improves the simulation calculation effect.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a simulation calculation method and device of a logistics system.
Background
In planning and operation of a large logistics network, the configuration strategies of resources such as bin network, sorting, distribution, transportation capacity and the like are often required to be updated and adjusted. In order to ensure the actual production execution effect, after the corresponding strategy is formulated, the production state is loaded in the virtual environment by constructing a logistics network or a logistics node model, and simulation calculation is performed, so that possible problems are estimated in advance according to the simulation calculation result, and the configured strategy is adjusted.
In the existing simulation calculation method of the logistics system, the simulation calculation is mainly carried out aiming at a single logistics network link and key logistics nodes, but when the overall simulation calculation is carried out on the whole logistics system, the simulation calculation analysis of the logistics network links and the logistics nodes is difficult to be compatible due to the fact that the configuration of the simulation calculation is complex, the simulation calculation efficiency is low, the overall simulation calculation cannot be completed in an automatic mode, the simulation calculation effect is poor, and the simulation effect verification analysis on an automatic and integrated overall configuration strategy in the production system is difficult to be carried out.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a simulation calculation method and device for a logistics system, which can combine simulation calculation services of a plurality of logistics networks and logistics nodes, realize global simulation calculation of a fully-automatic and integrated logistics network system, improve simulation calculation efficiency and promote simulation calculation effect.
In order to achieve the above object, according to an aspect of the embodiments of the present invention, there is provided a simulation calculation method of a logistics system, including:
receiving a simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation;
acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter;
And sending the target configuration parameters to a target simulation calculation service for simulation calculation to obtain a simulation calculation result.
Further, before the step of receiving the simulation task and disassembling the simulation task, the method further includes:
Acquiring a historical task list and logistics state information corresponding to the historical task list;
And configuring the simulation task and configuration parameters corresponding to the simulation task according to the historical task list and the logistics state information corresponding to the historical task list.
Further, before the step of obtaining the simulated computing service set, the method further includes:
responding to the registration requests of the plurality of simulation computing services, and packaging the plurality of simulation computing services according to the simulation service types to obtain a simulation computing service set; wherein the simulation service type corresponds to the simulation task type.
Further, sending the target configuration parameters to the target simulation computing service for simulation computation, and further comprising:
inquiring the service state of each service computing node in the target simulation computing service, and determining the service computing node with the clothing state being an idle state as the target service computing node;
and sending the target configuration parameters to the target service computing node for simulation computation.
Further, the step of determining the target simulation computing service corresponding to the target configuration parameter includes:
Determining the type of the logistics node corresponding to the target configuration parameter and the calculation authority identification corresponding to each logistics node according to the target configuration parameter;
and determining the target simulation computing service corresponding to the target configuration parameters according to the computing authority identification.
Further, determining the type of the logistics node corresponding to the target configuration parameter and the calculation authority identification corresponding to each logistics node according to the target configuration parameter; the step of determining the target simulation computing service corresponding to the target configuration parameter according to the computing authority identifier further comprises the following steps:
Determining a target logistics node set corresponding to the simulation task based on the target configuration parameters; the target logistics node set indicates the logistics node type, the target logistics node identification and the calculation authority identification corresponding to each logistics node corresponding to the target configuration parameter;
and acquiring a simulation calculation service set, traversing the logistics node group information corresponding to each simulation calculation service type in the simulation calculation service set, matching with the target logistics node set corresponding to the target configuration parameters, and determining the target simulation calculation service corresponding to the target configuration parameters.
Further, the step of determining the target simulation computing service corresponding to the target configuration parameter includes:
determining a key node identifier in the target configuration parameter;
And updating the target simulation computing service according to the key node identification.
Further, after the step of sending the target configuration parameters to the target simulation computing service for simulation computation, the method further comprises:
setting a polling period;
And checking the simulation calculation state of the sent target configuration parameters according to the polling period, and updating the service state of the target simulation calculation service with the simulation calculation completed.
According to another aspect of the embodiment of the present invention, there is provided a simulation calculation apparatus of a logistics system, including:
The target configuration parameter determining module is used for receiving the simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation;
The target simulation computing service determining module is used for acquiring a simulation computing service set and determining target simulation computing services corresponding to the target configuration parameters;
And the calculation module is used for sending the target configuration parameters to the target simulation calculation service for simulation calculation to obtain a simulation calculation result.
According to still another aspect of the embodiment of the present invention, there is provided an electronic device for simulation calculation of a logistics system, including:
one or more processors;
storage means for storing one or more programs,
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the simulated computing service of any of the logistics systems described above.
According to yet another aspect of an embodiment of the present invention, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a simulated computing service of any of the logistics systems described above.
One embodiment of the above invention has the following advantages or benefits: because the simulation task is received, the simulation task is disassembled, sub-tasks corresponding to different simulation task types are obtained, and target configuration parameters corresponding to the sub-tasks respectively are determined; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation; acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter; the technical means that the target configuration parameters are sent to the target simulation calculation service for simulation calculation to obtain a simulation calculation result is overcome, the technical means that in the existing simulation calculation analysis method of the logistics system, as the configuration of a plurality of simulation calculation is complex, the simulation calculation analysis of a plurality of logistics network links and logistics nodes is difficult to be compatible, the simulation calculation efficiency is low, the global simulation calculation cannot be completed in an automatic mode, the simulation calculation effect is poor, the technical problem that the simulation effect verification analysis of an automatic and integrated global configuration strategy in a production system is difficult to realize is solved, the simulation calculation service of a plurality of logistics networks and logistics nodes can be combined, the global simulation calculation of a full-automatic and integrated logistics network system is realized, the simulation calculation efficiency is improved, and the technical effect of the simulation calculation effect is improved.
Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of the main flow of a simulation calculation method of a logistics system according to one embodiment of the present invention;
FIG. 2a is a schematic diagram of a main flow of a simulation calculation method of a logistics system according to another embodiment of the present invention;
FIG. 2b is a schematic diagram of a framework after encapsulation of a simulated computing service;
FIG. 2c is a schematic diagram of a main flow of a simulated computing service schedule in a simulated computing method;
FIG. 3 is a schematic diagram of the main modules of a simulated computing device of a logistics system, provided in accordance with an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;
Fig. 5 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
FIG. 1 is a schematic diagram of the main flow of a simulation calculation method of a logistics system according to one embodiment of the present invention; as shown in fig. 1, the simulation calculation method of the logistics system provided by the embodiment of the invention mainly includes:
step S101, receiving a simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation.
Wherein the bin network simulation, the transportation simulation and the distribution simulation belong to the logistics network simulation, and the warehouse node simulation and the sorting node simulation belong to the logistics node simulation. The configuration parameters comprise basic configuration parameters of the logistics network, network load configuration parameters and simulation operation configuration parameters; the network basic configuration parameters comprise logistics nodes, line information and parameter attributes attached to the logistics nodes and the lines, such as node names, line IDs, node types, shifts, capacity and clamping positions of sorting nodes, loading of the lines and the like. The network load configuration parameters include user orders, waybill traffic flow data, and the like. The simulation running configuration comprises basic configuration parameters such as simulation time and the like, and a logistics node (warehouse node and sorting node) simulation configuration list is required to be used.
Specifically, according to an embodiment of the present invention, before the step of receiving the simulation task and disassembling the simulation task, the method further includes:
Acquiring a historical task list and logistics state information corresponding to the historical task list;
And configuring the simulation task and configuration parameters corresponding to the simulation task according to the historical task list and the logistics state information corresponding to the historical task list.
According to the embodiment of the invention, the historical task list in a past period of time and the physical state information related to the historical task list can be acquired to configure the simulation task. Furthermore, the generation time and the generation quantity corresponding to the simulation task can be adjusted according to the update strategy.
After the step of configuring the simulation task and the configuration parameters corresponding to the simulation task, the configuration information may be stored in the form of Key-Value (where the simulation task number is Key and the corresponding configuration parameter is Value), and when the simulation task is issued, only the simulation task number is issued, and the specific execution module obtains the corresponding configuration parameters from the database according to the simulation task number. Through the arrangement, access of different simulation calculation services to the calculation objects (configuration parameters) is facilitated, and the overall simulation calculation efficiency of the logistics system is improved.
Step S102, a simulation computing service set is obtained, and a target simulation computing service corresponding to the target configuration parameter is determined.
Further, according to an embodiment of the present invention, before the step of obtaining the set of simulated computing services, the method further includes:
responding to the registration requests of the plurality of simulation computing services, and packaging the plurality of simulation computing services according to the simulation service types to obtain a simulation computing service set; wherein the simulation service type corresponds to the simulation task type.
Specifically, the bin network simulation service corresponds to the bin network simulation task type and is used for executing simulation calculation of warehouse and warehouse internal allocation, cargo allocation and transportation behaviors; the transport network simulation service corresponds to the type of the transport simulation task and is used for executing simulation calculation from first sorting to last sorting until the sorting network behavior of the site; the cable network simulation service corresponds to cable simulation task types and is used for simulating site and distribution and cable behavior; the warehouse simulation corresponds to the type of the simulation task of the warehouse node and is used for loading cargoes, picking, packing and carrying out simulation calculation of delivery according to orders; the sorting simulation service corresponds to the sorting node simulation task type and is used for receiving simulation calculation of sorting the cargoes from the upstream ring node to the vehicle and delivering the cargoes to the downstream ring node.
Through the arrangement, the simulation calculation services of the service types are accessed into the logistics system, so that the subsequent combined call is conveniently carried out on each link, the global simulation calculation of the fully-automatic and integrated logistics network system is realized, and the simulation calculation efficiency is improved.
Preferably, according to an embodiment of the present invention, the step of determining a target simulation computing service corresponding to the target configuration parameter includes:
Determining the type of the logistics node corresponding to the target configuration parameter and the calculation authority identification corresponding to each logistics node according to the target configuration parameter;
and determining the target simulation computing service corresponding to the target configuration parameters according to the computing authority identification.
Specifically, by configuring the calculation authority identification, the simulation calculation service corresponding to the current logistics node can be matched conveniently and quickly.
Specifically, determining the type of the logistics node corresponding to the target configuration parameter and the calculation authority identifier corresponding to each logistics node according to the target configuration parameter; the step of determining the target simulation computing service corresponding to the target configuration parameter according to the computing authority identifier further comprises the following steps:
Determining a target logistics node set corresponding to the simulation task based on the target configuration parameters; the target logistics node set indicates the logistics node type, the target logistics node identification and the calculation authority identification corresponding to each logistics node corresponding to the target configuration parameter;
and acquiring a simulation calculation service set, traversing the logistics node group information corresponding to each simulation calculation service type in the simulation calculation service set, matching with the target logistics node set corresponding to the target configuration parameters, and determining the target simulation calculation service corresponding to the target configuration parameters.
Illustratively, according to an embodiment of the present invention, the step of determining the target simulation computing service corresponding to the target configuration parameter includes:
determining a key node identifier in the target configuration parameter;
And updating the target simulation computing service according to the key node identification.
Specifically, the key node identification is determined in a parameter configuration link, the key node is a node for performing analysis, such as analysis of capacity utilization condition and analysis of clamping condition, and the non-key node is a node arranged for constructing a complete network, and only task data is collected and transferred in the process, so that specific simulation calculation is not required to be executed.
Step S103, the target configuration parameters are sent to a target simulation calculation service for simulation calculation, and a simulation calculation result is obtained.
Specifically, after the simulation calculation result is obtained, the simulation calculation result can be analyzed to verify possible problems in the configuration strategies of the resources such as bin network, sorting, distribution, transportation capacity and the like, so as to adjust the configuration strategies and provide theoretical basis for upgrading and maintaining the production system.
Further, according to an embodiment of the present invention, the sending the target configuration parameter to the target simulation computing service to perform simulation computation further includes:
inquiring the service state of each service computing node in the target simulation computing service, and determining the service computing node with the clothing state being an idle state as the target service computing node;
and sending the target configuration parameters to the target service computing node for simulation computation.
Through the arrangement, a plurality of service computing nodes are arranged in the simulation computing service, so that the simulation computing efficiency is further improved.
Preferably, according to an embodiment of the present invention, after the step of sending the target configuration parameters to the target simulation computing service for performing the simulation computation, the method further includes:
setting a polling period;
And checking the simulation calculation state of the sent target configuration parameters according to the polling period, and updating the service state of the target simulation calculation service with the simulation calculation completed.
According to the technical scheme of the embodiment of the invention, as the simulation task is received, the simulation task is disassembled to obtain the subtasks corresponding to different simulation task types, and the target configuration parameters corresponding to the subtasks respectively are determined; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation; acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter; the technical means that the target configuration parameters are sent to the target simulation calculation service for simulation calculation to obtain a simulation calculation result is overcome, the technical means that in the existing simulation calculation analysis method of the logistics system, as the configuration of a plurality of simulation calculation is complex, the simulation calculation analysis of a plurality of logistics network links and logistics nodes is difficult to be compatible, the simulation calculation efficiency is low, the global simulation calculation cannot be completed in an automatic mode, the simulation calculation effect is poor, the technical problem that the simulation effect verification analysis of an automatic and integrated global configuration strategy in a production system is difficult to realize is solved, the simulation calculation service of a plurality of logistics networks and logistics nodes can be combined, the global simulation calculation of a full-automatic and integrated logistics network system is realized, the simulation calculation efficiency is improved, and the technical effect of the simulation calculation effect is improved.
FIG. 2a is a schematic diagram of a main flow of a simulation calculation method of a logistics system according to another embodiment of the present invention; as shown in fig. 2a, the simulation calculation method of the logistics system provided by the embodiment of the present invention mainly includes:
Step S201, acquiring a historical task list and logistics state information corresponding to the historical task list; and configuring the simulation task and configuration parameters corresponding to the simulation task according to the historical task list and the logistics state information corresponding to the historical task list.
According to the embodiment of the invention, the historical task list in a past period of time and the physical state information related to the historical task list can be acquired to configure the simulation task. Furthermore, the generation time and the generation quantity corresponding to the simulation task can be adjusted according to the update strategy.
After the steps of configuring the simulation task and the configuration parameters corresponding to the simulation task are completed, the configuration information can be stored in a form of Key-Value (wherein the simulation task number is Key, and the corresponding configuration parameters are Value), and when the simulation task is issued, only the simulation task number Key needs to be issued, and the corresponding configuration parameters Value are obtained from the database according to the simulation task number by a specific execution module. Through the arrangement, access of different simulation calculation services to calculation objects (configuration parameters) is facilitated, and the overall simulation calculation efficiency of the logistics system is improved.
Step S202, responding to the registration requests of a plurality of simulation computing services, and packaging the plurality of simulation computing services according to the simulation service types to obtain a simulation computing service set; wherein the simulation service type corresponds to the simulation task type.
Specifically, the bin network simulation service corresponds to the bin network simulation task type and is used for executing simulation calculation of warehouse and warehouse internal allocation, cargo allocation and transportation behaviors; the transport network simulation service corresponds to the type of the transport simulation task and is used for executing simulation calculation from first sorting to last sorting until the sorting network behavior of the site; the cable network simulation service corresponds to cable simulation task types and is used for simulating site and distribution and cable behavior; the warehouse simulation corresponds to the type of the simulation task of the warehouse node and is used for loading cargoes, picking, packing and carrying out simulation calculation of delivery according to orders; the sorting simulation service corresponds to the sorting node simulation task type and is used for receiving simulation calculation of sorting the cargoes from the upstream ring node to the vehicle and delivering the cargoes to the downstream ring node.
Through the arrangement, the simulation calculation services of the service types are accessed into the logistics system, so that the subsequent combined call is conveniently carried out on each link, the global simulation calculation of the fully-automatic and integrated logistics network system is realized, and the simulation calculation efficiency is improved.
FIG. 2b is a schematic diagram of a framework after the encapsulation of the simulation computing service, as shown in FIG. 2b, the registered simulation computing service after encapsulation includes two parts, namely a simulation run management module and a simulation computing process module; the simulation operation management module resides in the memory when the simulation computing service operates, and is used for receiving simulation tasks and model initialization information (configuration parameters) from the upstream simulation computing service combination scheduling module, starting a simulation computing process, monitoring and feeding back a simulation state. The simulation calculation process module is used for running a simulation algorithm, externally presents as an independent operating system process, can be executed only when the simulation operation management module receives an external simulation task and starts the simulation calculation operation, and exits after the simulation calculation is finished.
Further, in the aspect of simulation task scheduling, the simulation running management module interacts with the simulation computing service combination scheduling module through a Restful interface to provide self state inquiry capability and receive the issued simulation computing task. And the interaction between the service combination scheduling module and the Restful interface of the simulation algorithm service is used for completing the automatic simulation scene decomposition application.
Step S203, receiving a simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation.
The configuration parameters comprise a logistics network basic configuration parameter, a network load configuration parameter and a simulation operation configuration parameter; the network basic configuration parameters comprise logistics nodes, line information and parameter attributes attached to the logistics nodes and the lines, such as node names, line IDs, node types, shifts, capacity and clamping positions of sorting nodes, loading of the lines and the like. The network load configuration parameters include user orders, waybill traffic flow data, and the like. The simulation running configuration comprises basic configuration parameters such as simulation time and the like, and a logistics node (warehouse node and sorting node) simulation configuration list is required to be used.
Step S204, determining the type of the logistics node, the key node identification and the calculation authority identification corresponding to each logistics node corresponding to the target configuration parameters according to the target configuration parameters; and determining the target simulation computing service corresponding to the target configuration parameter from the simulation computing service set according to the computing authority identification and the key node identification.
According to the embodiment of the invention, based on the configuration content of the target configuration parameters, whether the network topology which needs to be calculated by the simulation service type exists in the logistics network corresponding to the simulation task can be judged. Specifically, according to the embodiment of the invention, the network configuration required by the simulation task can be obtained according to the number of the simulation task, the type of the logistics node in the configuration is inquired, the target logistics node set G corresponding to the simulation calculation service is obtained, the elements in the G are stored in the form of < N, V and C > triplets, the set can contain 0 to a plurality of elements, and the number of independent subnets which can be simulated by the simulation calculation service of the type in the network configuration is represented. Wherein N is a logistics node ID identifier, V is a key node identifier (namely a target logistics node identifier), C is a calculation authority identifier, and both are Boolean values. Whether the logistics node is a key node is determined in a simulation task and a configuration link of a corresponding configuration parameter; the key nodes are the nodes needing key analysis, such as analysis of capacity utilization condition and analysis of clamping condition, and the non-key nodes are the nodes arranged for constructing the complete network.
When the feedback logistics node is a non-key node, the node model only realizes the functions of data collection, external cargo quantity and business load injection in a corresponding network simulation algorithm, and has no actual logistics node logic simulation function.
The calculation authority identifier C characterizes whether the internal logic of the node N is responsible for calculation by the service when in distributed simulation, if the non-key node of a certain simulation calculation service is replaced by a node of V=false of other simulation calculation services to provide data, the C attribute of the logistics node N is required to be set as false, and repeated calculation is avoided. The logistics nodes in the service can only be used for retrieving data, and no calculation model is associated in the service. All simulation task configuration parameter data sent to the c=false logistics node are sent to the simulation bus. Upon logic initialization through this interface, initial c=true is defaulted. The modification of the C attribute is only involved when the subsequent multi-simulation computing service coordinates the simulation computing responsibility of the specific logistics node model. The allocation of critical and non-critical nodes in a logistics network is exemplarily shown in table 1:
TABLE 1
Further, the obtained set of simulation computing services may be denoted as DT N＝{(STi,Gi)|STi being a type of simulation computing service, and G i being logistics node group information from which simulation computation may be performed.
All G i,Gj pairs (i not equal to j) generated by traversing the simulation calculation service of the logistics network links (including bin network simulation, transportation simulation and cable distribution simulation) in DT N are matched according to the obtained result of the logistics node set G, ifIt is illustrated that the logistics nodes of different simulation calculation services can perform simulation calculation overlap. Then, go through the element E of v=true and c=true in G i, if the same stream node N can be found in G j, but the corresponding v=false and c=true, then the corresponding c=false of the element E can be set. The simulated computation authority of the logistics node N is transferred from the service type ST i to ST j. After all traversals are completed, if all G sets in DT N are checked for given logistics node N, and for the same N element, only once C=true occurs, then calculation task allocation of the logistics network link is indicated to be completed.
For the logistics node simulation links (including warehouse node simulation and sorting node simulation), a node simulation service is appointed to simulate a logistics node N in simulation configuration, firstly, a unit element set (ST N,GN),STN is sorting node or warehouse node simulation calculation service, G N is unit element set containing corresponding logistics nodes, element attributes C=true and V=false) is created (in DT N, after V=true and C=false are set for all G i set elements containing N nodes, the (ST N,GN) is added into DT N set, and then, by checking DT N, all elements of C=true in the G i set are not overlapped and all logistics nodes to be calculated in a simulation mode are covered, so that task allocation of the logistics node simulation links is completed.
Step S205, inquiring the service state of each service computing node in the target simulation computing service, and determining the service computing node with the clothing state being an idle state as the target service computing node; and sending the target configuration parameters to the target service computing node for simulation computation.
Specifically, according to the embodiment of the present invention, all elements in DT N are traversed, the running state of all service instance deployments corresponding to the target simulation computing service ST i is queried, if the service instance S i is idle, the state is set to be occupied, and the target configuration parameters are sent to the service instance S i for simulation computing.
Preferably, according to an embodiment of the present invention, after the step of sending the target configuration parameters to the target simulation computing service for performing the simulation computation, the method further includes:
setting a polling period;
And checking the simulation calculation state of the sent target configuration parameters according to the polling period, and updating the service state of the target simulation calculation service with the simulation calculation completed.
FIG. 2c is a schematic diagram showing a main flow of a simulation computing service schedule in a simulation computing method, and as shown in FIG. 2c, the simulation computing service schedule mainly includes a simulation task allocation process and a simulation monitoring thread. Specifically, after receiving the simulation task, the simulation task allocation thread receives the simulation task, disassembles the simulation task to obtain subtasks corresponding to different simulation task types, and determines target configuration parameters corresponding to the subtasks respectively. The configuration parameters of the simulation task comprise a logistics network basic configuration parameter, a network load configuration parameter and a simulation operation configuration parameter. Then determining the type of the logistics node, the key node identification and the calculation authority identification corresponding to each logistics node corresponding to the target configuration parameters according to the target configuration parameters; and determining the target simulation computing service corresponding to the target configuration parameter from the simulation computing service set according to the computing authority identification and the key node identification. And when the simulation calculation is monitored to be finished, the occupation of the corresponding simulation calculation service is relieved.
According to the technical scheme of the embodiment of the invention, as the simulation task is received, the simulation task is disassembled to obtain the subtasks corresponding to different simulation task types, and the target configuration parameters corresponding to the subtasks respectively are determined; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation; acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter; the technical means that the target configuration parameters are sent to the target simulation calculation service for simulation calculation to obtain a simulation calculation result is overcome, the technical means that in the existing simulation calculation analysis method of the logistics system, as the configuration of a plurality of simulation calculation is complex, the simulation calculation analysis of a plurality of logistics network links and logistics nodes is difficult to be compatible, the simulation calculation efficiency is low, the global simulation calculation cannot be completed in an automatic mode, the simulation calculation effect is poor, the technical problem that the simulation effect verification analysis of an automatic and integrated global configuration strategy in a production system is difficult to realize is solved, the simulation calculation service of a plurality of logistics networks and logistics nodes can be combined, the global simulation calculation of a full-automatic and integrated logistics network system is realized, the simulation calculation efficiency is improved, and the technical effect of the simulation calculation effect is improved.
FIG. 3 is a schematic diagram of the main modules of a simulated computing device of a logistics system, provided in accordance with an embodiment of the present invention; as shown in fig. 3, a simulation computing device 300 of a logistics system according to an embodiment of the present invention mainly includes:
the target configuration parameter determining module 301 is configured to receive a simulation task, disassemble the simulation task, obtain subtasks corresponding to different simulation task types, and determine target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation.
Wherein the bin network simulation, the transportation simulation and the distribution simulation belong to the logistics network simulation, and the warehouse node simulation and the sorting node simulation belong to the logistics node simulation. The configuration parameters comprise a logistics network basic configuration parameter, a network load configuration parameter and a simulation operation configuration parameter.
Specifically, according to an embodiment of the present invention, the simulation computing device 300 of the above-mentioned logistics system further includes a simulation task configuration module, where before the step of receiving the simulation task and disassembling the simulation task, the simulation task configuration module is configured to:
Acquiring a historical task list and logistics state information corresponding to the historical task list;
And configuring the simulation task and configuration parameters corresponding to the simulation task according to the historical task list and the logistics state information corresponding to the historical task list.
According to the embodiment of the invention, the historical task list in a past period of time and the physical state information related to the historical task list can be acquired to configure the simulation task. Furthermore, the generation time and the generation quantity corresponding to the simulation task can be adjusted according to the update strategy.
After the step of configuring the simulation task and the configuration parameters corresponding to the simulation task, the configuration information may be stored in the form of Key-Value (where the simulation task number is Key and the corresponding configuration parameter is Value), and when the simulation task is issued, only the simulation task number is issued, and the specific execution module obtains the corresponding configuration parameters from the database according to the simulation task number. Through the arrangement, access of different simulation calculation services to the calculation objects (configuration parameters) is facilitated, and the overall simulation calculation efficiency of the logistics system is improved.
The target simulation computing service determining module 302 is configured to obtain a simulation computing service set and determine a target simulation computing service corresponding to the target configuration parameter.
Further, according to an embodiment of the present invention, the simulation computing apparatus 300 of the logistics system further includes a registration module, before the step of obtaining the simulation computing service set, the registration module is configured to:
responding to the registration requests of the plurality of simulation computing services, and packaging the plurality of simulation computing services according to the simulation service types to obtain a simulation computing service set; wherein the simulation service type corresponds to the simulation task type.
Specifically, the bin network simulation service corresponds to the bin network simulation task type and is used for executing simulation calculation of warehouse and warehouse internal allocation, cargo allocation and transportation behaviors; the transport network simulation service corresponds to the type of the transport simulation task and is used for executing simulation calculation from first sorting to last sorting until the sorting network behavior of the site; the cable network simulation service corresponds to cable simulation task types and is used for simulating site and distribution and cable behavior; the warehouse simulation corresponds to the type of the simulation task of the warehouse node and is used for loading cargoes, picking, packing and carrying out simulation calculation of delivery according to orders; the sorting simulation service corresponds to the sorting node simulation task type and is used for receiving simulation calculation of sorting the cargoes from the upstream ring node to the vehicle and delivering the cargoes to the downstream ring node.
Through the arrangement, the simulation calculation services of the service types are accessed into the logistics system, so that the subsequent combined call is conveniently carried out on each link, the global simulation calculation of the fully-automatic and integrated logistics network system is realized, and the simulation calculation efficiency is improved.
Preferably, according to an embodiment of the present invention, the target simulation computing service determining module 302 is configured to:
Determining the type of the logistics node corresponding to the target configuration parameter and the calculation authority identification corresponding to each logistics node according to the target configuration parameter;
and determining the target simulation computing service corresponding to the target configuration parameters according to the computing authority identification.
Specifically, by configuring the calculation authority identification, the simulation calculation service corresponding to the current logistics node can be matched conveniently and quickly.
Specifically, the target simulation computing service determining module 302 is further configured to:
Determining a target logistics node set corresponding to the simulation task based on the target configuration parameters; the target logistics node set indicates the logistics node type, the target logistics node identification and the calculation authority identification corresponding to each logistics node corresponding to the target configuration parameter;
and acquiring a simulation calculation service set, traversing the logistics node group information corresponding to each simulation calculation service type in the simulation calculation service set, matching with the target logistics node set corresponding to the target configuration parameters, and determining the target simulation calculation service corresponding to the target configuration parameters.
Illustratively, according to an embodiment of the present invention, the target simulation computing service determining module 302 is further configured to:
determining a key node identifier in the target configuration parameter;
And updating the target simulation computing service according to the key node identification.
Specifically, the key node identification is determined in a parameter configuration link, the key node is a node for performing analysis, such as analysis of capacity utilization condition and analysis of clamping condition, and the non-key node is a node arranged for constructing a complete network, and only task data is collected and transferred in the process, so that specific simulation calculation is not required to be executed.
The calculation module 303 is configured to send the target configuration parameter to a target simulation calculation service for performing simulation calculation, so as to obtain a simulation calculation result.
Specifically, after the simulation calculation result is obtained, the simulation calculation result can be analyzed to verify possible problems in the configuration strategies of the resources such as bin network, sorting, distribution, transportation capacity and the like, so as to adjust the configuration strategies and provide theoretical basis for upgrading and maintaining the production system.
Further, according to an embodiment of the present invention, the above-mentioned calculation module 303 is further configured to:
inquiring the service state of each service computing node in the target simulation computing service, and determining the service computing node with the clothing state being an idle state as the target service computing node;
and sending the target configuration parameters to the target service computing node for simulation computation.
Through the arrangement, a plurality of service computing nodes are arranged in the simulation computing service, so that the simulation computing efficiency is further improved.
Preferably, according to an embodiment of the present invention, the simulation computing apparatus 300 of the above-mentioned logistics system further includes a service status update module, after the step of sending the target configuration parameter to the target simulation computing service for performing the simulation computation, the service status update module is configured to:
setting a polling period;
And checking the simulation calculation state of the sent target configuration parameters according to the polling period, and updating the service state of the target simulation calculation service with the simulation calculation completed.
According to the technical scheme of the embodiment of the invention, as the simulation task is received, the simulation task is disassembled to obtain the subtasks corresponding to different simulation task types, and the target configuration parameters corresponding to the subtasks respectively are determined; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation; acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter; the technical means that the target configuration parameters are sent to the target simulation calculation service for simulation calculation to obtain a simulation calculation result is overcome, the technical means that in the existing simulation calculation analysis method of the logistics system, as the configuration of a plurality of simulation calculation is complex, the simulation calculation analysis of a plurality of logistics network links and logistics nodes is difficult to be compatible, the simulation calculation efficiency is low, the global simulation calculation cannot be completed in an automatic mode, the simulation calculation effect is poor, the technical problem that the simulation effect verification analysis of an automatic and integrated global configuration strategy in a production system is difficult to realize is solved, the simulation calculation service of a plurality of logistics networks and logistics nodes can be combined, the global simulation calculation of a full-automatic and integrated logistics network system is realized, the simulation calculation efficiency is improved, and the technical effect of the simulation calculation effect is improved.
FIG. 4 illustrates an exemplary system architecture 400 of a simulated computing method of a logistics system or a simulated computing device of a logistics system to which embodiments of the present invention can be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 is used as a medium to provide communication links between the terminal devices 401, 402, 403 and the server 405. The network 404 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may interact with the server 405 via the network 404 using the terminal devices 401, 402, 403 to receive or send messages or the like. Various communication client applications, such as shopping class applications, logistics distribution class applications, search class applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only) may be installed on the terminal devices 401, 402, 403.
The terminal devices 401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 405 may be a server providing various services, such as a server (by way of example only) that utilizes terminal devices 401, 402, 403 (performing simulation calculations/performing data processing) for a user. The server may analyze and process the received data such as the simulation task, and feed back the processing result (e.g., the target simulation calculation service, the simulation calculation result—only an example) to the terminal device.
It should be noted that, the simulation calculation method of the logistics system provided in the embodiment of the present invention is generally executed by the server 405, and accordingly, the simulation calculation device of the logistics system is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, there is illustrated a schematic diagram of a computer system 500 suitable for use in implementing a terminal device or server in accordance with an embodiment of the present invention. The terminal device or server shown in fig. 5 is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 509, and/or installed from the removable media 511. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 501.
The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: a processor includes a target configuration parameter determination module, a target simulation computing service determination module, and a computing module. The names of these modules do not limit the module itself in some cases, for example, the calculation module may also be described as "a module for sending the target configuration parameters to the target simulation calculation service to perform the simulation calculation, and obtaining the simulation calculation result".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include: receiving a simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation; acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter; and sending the target configuration parameters to a target simulation calculation service for simulation calculation to obtain a simulation calculation result.
According to the technical scheme of the embodiment of the invention, as the simulation task is received, the simulation task is disassembled to obtain the subtasks corresponding to different simulation task types, and the target configuration parameters corresponding to the subtasks respectively are determined; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation; acquiring a simulation computing service set and determining a target simulation computing service corresponding to a target configuration parameter; the technical means that the target configuration parameters are sent to the target simulation calculation service for simulation calculation to obtain a simulation calculation result is overcome, the technical means that in the existing simulation calculation analysis method of the logistics system, as the configuration of a plurality of simulation calculation is complex, the simulation calculation analysis of a plurality of logistics network links and logistics nodes is difficult to be compatible, the simulation calculation efficiency is low, the global simulation calculation cannot be completed in an automatic mode, the simulation calculation effect is poor, the technical problem that the simulation effect verification analysis of an automatic and integrated global configuration strategy in a production system is difficult to realize is solved, the simulation calculation service of a plurality of logistics networks and logistics nodes can be combined, the global simulation calculation of a full-automatic and integrated logistics network system is realized, the simulation calculation efficiency is improved, and the technical effect of the simulation calculation effect is improved.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (11)
1. The simulation calculation method of the logistics system is characterized by comprising the following steps of:
receiving a simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation;
acquiring a simulation computing service set, and determining a target simulation computing service corresponding to the target configuration parameter;
And sending the target configuration parameters to the target simulation calculation service for simulation calculation to obtain a simulation calculation result.
2. The method of claim 1, wherein prior to the step of receiving a simulation task and disassembling the simulation task, the method further comprises:
acquiring a historical task list and logistics state information corresponding to the historical task list;
And configuring simulation tasks and configuration parameters corresponding to the simulation tasks according to the historical task list and the logistics state information corresponding to the historical task list.
3. The method of simulating calculation of a logistics system of claim 1, wherein prior to the step of obtaining a set of simulated calculation services, the method further comprises:
Responding to registration requests of a plurality of simulation computing services, and packaging the plurality of simulation computing services according to simulation service types to obtain a simulation computing service set; wherein the simulation service type corresponds to the simulation task type.
4. The method for simulating calculation of a logistics system of claim 1, wherein said sending the target configuration parameters to the target simulation calculation service for simulation calculation further comprises:
Inquiring the service state of each service computing node in the target simulation computing service, and determining the service computing node with the clothing state in an idle state as a target service computing node;
and sending the target configuration parameters to the target service computing node for simulation computation.
5. The method for simulating calculation of a logistics system of claim 1, wherein the step of determining a target simulated calculation service corresponding to the target configuration parameter comprises:
Determining the type of the logistics node corresponding to the target configuration parameter and the calculation authority identification corresponding to each logistics node according to the target configuration parameter;
and determining the target simulation computing service corresponding to the target configuration parameter according to the computing authority identification.
6. The method for simulating calculation of a logistics system according to claim 5, wherein the type of the logistics node corresponding to the target configuration parameter and the calculation authority identifier corresponding to each logistics node are determined according to the target configuration parameter; the step of determining the target simulation computing service corresponding to the target configuration parameter according to the computing authority identifier further comprises the following steps:
Determining a target logistics node set corresponding to the simulation task based on the target configuration parameters; the target logistics node set indicates the logistics node type, the target logistics node identifier and the calculation authority identifier corresponding to each logistics node corresponding to the target configuration parameter;
And acquiring a simulation calculation service set, traversing logistics node group information corresponding to each simulation calculation service type in the simulation calculation service set, matching with a target logistics node set corresponding to the target configuration parameters, and determining the target simulation calculation service corresponding to the target configuration parameters.
7. The method for simulating calculation of a logistics system of claim 5, wherein the step of determining a target simulated calculation service corresponding to the target configuration parameter comprises:
Determining a key node identifier in the target configuration parameter;
And updating the target simulation computing service according to the key node identifier.
8. The method of simulation calculation of a logistics system of claim 1, wherein after said step of sending said target configuration parameters to said target simulation calculation service for simulation calculation, said method further comprises:
setting a polling period;
And checking the simulation calculation state of the sent target configuration parameters according to the polling period, and updating the service state of the target simulation calculation service with the simulation calculation completed.
9. A simulated computing device for a logistics system, comprising:
the target configuration parameter determining module is used for receiving the simulation task, disassembling the simulation task to obtain subtasks corresponding to different simulation task types, and determining target configuration parameters corresponding to the subtasks respectively; the simulation task type comprises at least one of bin network simulation, transportation simulation, cable distribution simulation, warehouse node simulation and sorting node simulation;
the target simulation computing service determining module is used for acquiring a simulation computing service set and determining a target simulation computing service corresponding to the target configuration parameter;
and the calculation module is used for sending the target configuration parameters to the target simulation calculation service for simulation calculation to obtain a simulation calculation result.
10. An electronic device for simulated computation of a logistics system, comprising:
one or more processors;
storage means for storing one or more programs,
When executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-8.
11. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211591786.XA CN118194490A (en) | 2022-12-12 | 2022-12-12 | Simulation calculation method and device for logistics system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211591786.XA CN118194490A (en) | 2022-12-12 | 2022-12-12 | Simulation calculation method and device for logistics system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118194490A true CN118194490A (en) | 2024-06-14 |
Family
ID=91403239
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211591786.XA Pending CN118194490A (en) | 2022-12-12 | 2022-12-12 | Simulation calculation method and device for logistics system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118194490A (en) |
-
2022
- 2022-12-12 CN CN202211591786.XA patent/CN118194490A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108920222B (en) | Business processing method and device based on rule engine | |
| CN112632566B (en) | Vulnerability scanning method and device, storage medium and electronic equipment | |
| CN107479984B (en) | Distributed spatial data processing system based on message | |
| CN105338045A (en) | Cloud computing resource processing device, method and cloud computing system | |
| CN114327399A (en) | Distributed training method, apparatus, computer device, storage medium and product | |
| CN115454972A (en) | Data processing method, device, equipment and storage medium | |
| CN112947919A (en) | Method and device for constructing service model and processing service request | |
| CN113076186B (en) | Task processing method, device, electronic equipment and storage medium | |
| CN112199200B (en) | Resource scheduling method and device, computer equipment and storage medium | |
| CN112817992A (en) | Method, device, electronic equipment and readable storage medium for executing change task | |
| CN115361382B (en) | Data processing method, device, equipment and storage medium based on data group | |
| CN118194490A (en) | Simulation calculation method and device for logistics system | |
| CN115617480A (en) | Task scheduling method, device and system and storage medium | |
| CN115328457A (en) | Method and device for realizing form page based on parameter configuration | |
| CN115170026A (en) | Task processing method and device | |
| CN115407990A (en) | Method and device for business logic flow development and business logic flow realization | |
| CN111857736B (en) | Cloud computing product generation method, device, equipment and storage medium | |
| CN114936097A (en) | Processing node determination method, processing node determination device, computer equipment and storage medium | |
| CN114612212A (en) | Business processing method, device and system based on risk control | |
| CN112799797B (en) | Task management method and device | |
| CN113064905A (en) | Business process processing method and device, electronic equipment and computer readable medium | |
| CN112416488A (en) | User portrait implementation method and device, computer equipment and computer readable storage medium | |
| CN113159659A (en) | Method, device, equipment and computer readable medium for updating manifest aging | |
| CN113935613A (en) | Equipment inspection method and device, electronic equipment and computer readable medium | |
| US10789282B1 (en) | Document indexing with cluster computing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination |