CN117236037A - Simulation system and method for evaluating warehouse layout of contact net parts - Google Patents
Simulation system and method for evaluating warehouse layout of contact net parts Download PDFInfo
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Abstract
The application relates to the technical field of model simulation, and provides a simulation system and a simulation method for evaluating warehouse layout of contact net parts, wherein the system comprises the following steps: the simulation input module is used for inputting warehouse layout data of the contact network part warehouse through the interactive interface, parameterizing data of all entities in the contact network part warehouse according to the warehouse layout data to obtain corresponding entity parameters, wherein the entities comprise: region layout, shelves, workstations, and robots; the simulation modeling module is used for establishing simulation models of all entities and determining layout strategies of the contact net part warehouse to obtain strategy data; performing simulation modeling according to warehouse layout data, entity parameters and strategy data to generate a warehouse simulation model of the contact net parts; the simulation operation module is used for responding to the operation of a user and operating the contact net part warehouse simulation model to obtain a plurality of simulation results; and the simulation result evaluation module is used for carrying out statistical analysis on the obtained multiple simulation results.
Description
Technical Field
The application relates to the technical field of model simulation, in particular to a simulation system and a simulation method for evaluating warehouse layout of contact net parts.
Background
With the continuous development of the logistics industry, the logistics efficiency of the warehouse is more and more emphasized. As an important link in the railway transportation field, the contact net part warehouse is simulated to form an important way for detecting whether the layout of the contact net part warehouse and the material efficiency of the contact net part warehouse are reasonable or efficient.
In the prior art, on one hand, the simulation process of the contact net part warehouse adopts manual carding of the types of entities in the contact net part warehouse, various parameter data of the entities and the workflow, and then a modeling tool is used for manually establishing a contact net part warehouse simulation model. On the other hand, experience is lacking in accuracy and repeatability when evaluating whether the warehouse layout of the contact net parts is reasonable.
Disclosure of Invention
The embodiment of the application provides a simulation system and a simulation method for evaluating the warehouse layout of contact net parts, which are used for solving the technical problem of low accuracy in evaluating the warehouse layout of the contact net parts in the related prior art.
In a first aspect, the present application provides a simulation system for evaluating a warehouse layout of contact net parts, the system comprising:
the simulation input module is used for inputting warehouse layout data of the contact network part warehouse through the interactive interface, and parameterizing data of all entities in the contact network part warehouse according to the warehouse layout data to obtain corresponding entity parameters, wherein the entities comprise: regional layout, shelves, workstations and robots, the physical parameters of regional layout include: warehouse size parameters, workstation area, mobile shelf storage area and charging area, and the entity parameters of goods shelves include: the physical parameters of the workstation include: the physical parameters of the robot comprise: robot number information and robot running state parameters;
the simulation modeling module is used for establishing simulation models of all entities and determining layout strategies of the contact net part warehouse to obtain strategy data; performing simulation modeling according to warehouse layout data, entity parameters and strategy data to generate a warehouse simulation model of the contact net parts;
The simulation operation module is used for responding to the operation of a user and operating the contact net part warehouse simulation model to obtain a plurality of simulation results, wherein the operation of the user comprises the following steps: inputting a plurality of groups of simulation parameters;
the simulation result evaluation module is used for carrying out statistical analysis on the obtained multiple simulation results to evaluate whether the warehouse layout of the contact net parts meets a preset target.
According to the above, as all entities in the contact net part warehouse and main influencing factors of each link in the layout process of the contact net part warehouse are parameterized, parameter input or modification is carried out through a man-machine interaction interface, so that quick modeling simulation of the layout of the contact net part warehouse is realized, huge workload of manual modeling is avoided, and modeling speed is greatly improved; and according to the statistical analysis of the simulation results, whether the layout scheme of the warehouse of the contact net parts meets the preset target can be accurately estimated, and the accuracy of estimation is improved.
In one possible embodiment, the simulation system for evaluating the warehouse layout of the contact net parts further comprises:
the simulation output module is used for deriving a plurality of simulation results of the contact net part warehouse simulation model, and the simulation result evaluation module performs statistical analysis according to the plurality of simulation results derived by the simulation output module so as to evaluate whether the contact net part warehouse layout meets a preset target.
In one possible design, the simulation input module includes:
the first input submodule is used for inputting warehouse layout data of the contact net part warehouse;
and the second input sub-module is used for inputting a plurality of groups of simulation data in the simulation process.
In one possible design, the simulation modeling module includes:
the physical modeling module is used for establishing a parameterized model according to the warehouse layout data and the data of all the entities in the warehouse of the contact network part, and determining the entity parameters of all the entities; calculating the position coordinates of all entities through the relative position coordinates among the entities;
the flow modeling module is used for determining a layout strategy of the contact net part warehouse and a following strategy of the robot so as to carry out simulation modeling.
In a second aspect, the present application provides a simulation method for evaluating a warehouse layout of a contact net part, where the method is applicable to the simulation system for evaluating a warehouse layout of a contact net part in the first aspect and any one of possible designs of the first aspect, and the method includes:
inputting warehouse layout data through an interactive interface, and parameterizing data of all entities in a contact network part warehouse according to the warehouse layout data so as to obtain entity parameters of the entities;
Establishing simulation models of all entities and determining layout strategies of contact net part warehouses to obtain strategy data;
performing simulation modeling according to warehouse layout data, entity parameters of the entity and strategy data to generate a warehouse simulation model of the contact net part;
running a contact net part warehouse simulation model to obtain a plurality of simulation results;
and carrying out statistical analysis on the obtained simulation results to evaluate whether the warehouse layout of the contact net parts meets a preset target.
According to the above, it can be known that, according to the warehouse layout data, the entity parameters of all the entities in the contact net part warehouse and the strategy data related to the layout, the contact net part warehouse simulation model is automatically and rapidly generated, all possible layout schemes of the contact net part warehouse are simulated by using the contact net part warehouse simulation model, a plurality of simulation results are obtained, statistical analysis is performed on the obtained simulation results, whether the layout of the contact net part warehouse meets the preset target can be rapidly and accurately estimated, and the optimal layout of the contact net part warehouse can be determined in the layout schemes of the contact net part warehouse.
In one possible design, running a warehouse simulation model of a contact net part to obtain a plurality of simulation results includes:
Randomly generating a plurality of groups of simulation parameters by adopting a statistical simulation method;
inputting a plurality of groups of simulation parameters into a warehouse simulation model of the contact net parts one by one to carry out compiling operation simulation;
and obtaining simulation results of each group of simulation parameters to obtain a plurality of simulation results.
In one possible design, the simulation parameters include: the warehouse-in time sequence and the warehouse-out time sequence which corresponds to the warehouse-in time sequence one by one.
In one possible design, the simulation result includes: at least one of robot utilization, contact net spare part waiting time and warehouse storage efficiency.
In one possible design, performing statistical analysis on the obtained plurality of simulation results to evaluate whether the warehouse layout of the contact net parts meets a preset target includes:
carrying out statistical analysis on the simulation results to obtain at least one of a first statistical characteristic parameter of the utilization rate of the robot, a second statistical characteristic parameter of the waiting time of the contact net parts and a third statistical characteristic parameter of the warehouse storage efficiency;
and determining whether the warehouse layout of the contact net parts meets a preset target according to whether the first statistical characteristic parameter, the second statistical characteristic parameter and the third statistical characteristic parameter are larger than a preset threshold.
In one possible design, the statistical analysis is performed on the obtained multiple simulation results to evaluate whether the warehouse layout of the contact net parts meets the preset target, and the method further includes:
and determining the influence degree of the simulation parameters on the simulation results according to the plurality of groups of simulation parameters and the plurality of simulation results, wherein the influence degree is used for representing the correlation between the change of the simulation parameters and the change of the simulation results.
In a third aspect, the present application provides an electronic device comprising: a memory and a processor for storing a computer program which, when executed by the processor, causes the apparatus to perform the simulation method for evaluating a warehouse layout of catenary components of any one of the implementations of the second aspect.
In a fourth aspect, the present application provides a computer-readable storage medium comprising: computer programs or instructions; the computer program or instructions, when run on a computer, cause the computer to perform the simulation method for evaluating the warehouse layout of catenary components of any one of the possible implementations of the second aspect, is performed.
In a fifth aspect, a computer program product is provided, comprising a computer program or instructions which, when run on a computer, cause the computer to perform the simulation method for evaluating a warehouse layout of catenary components of any one of the possible implementations of the second aspect.
According to the simulation system and the simulation method for evaluating the layout of the contact net part warehouse, the simulation model of the contact net part warehouse can be automatically and rapidly generated according to the warehouse layout data, the entity parameters of all entities in the contact net part warehouse and the strategy data related to the layout, all possible layout schemes of the contact net part warehouse are simulated by using the simulation model of the contact net part warehouse, a plurality of simulation results are obtained, statistical analysis is carried out on the obtained simulation results, whether the layout of the contact net part warehouse meets a preset target can be rapidly and accurately evaluated, and the optimal layout of the contact net part warehouse can be determined in the layout schemes of the contact net part warehouse.
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Fig. 1 is a schematic structural diagram of a simulation system for evaluating a warehouse layout of contact net parts provided in an application embodiment;
fig. 2 is a flow chart of a simulation method for evaluating a warehouse layout of a contact net part provided in an application embodiment;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
The present application will be further described in detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
If a similar description of "first\second\third" appears in the application document, the following description is added, in which the terms "first\second\third" are merely distinguishing between similar objects and do not represent a particular ordering of the objects, it being understood that the "first\second\third" may be interchanged in a particular order or precedence, where allowed, to enable embodiments of the application described herein to be practiced in an order other than that illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.
Based on the problems existing in the related art, the embodiment of the application provides a simulation method for evaluating the warehouse layout of contact net parts, which is applied to electronic equipment, wherein the electronic equipment can be a mobile phone, a tablet personal computer, a television (also can be called as an intelligent screen, a large screen device and the like), a notebook computer, an Ultra-mobile Personal Computer (UMPC), a handheld computer, a netbook, a personal digital assistant (Personal Digital Assistant, PDA), a wearable electronic equipment, a vehicle-mounted device (also can be called as a car machine), a virtual reality device and the like, and the embodiment of the application does not limit the problems. The function realized by the simulation method for evaluating the warehouse layout of the contact net parts provided by the embodiment of the application can be realized by calling program codes by a processor of electronic equipment, wherein the program codes can be stored in a computer storage medium.
The overhead contact system is a special power supply line which is special for electrified rail transit, is erected along a rail and provides electric energy for an electric locomotive or an electric vehicle, and is an important component of an electrified rail transit traction power supply system. Currently, the catenary may include: the support post and foundation, a contact suspension device and a support device, wherein the contact suspension device can comprise: the system comprises a carrier cable, a contact line, a hanger, a central anchor knot, an anchor section joint, a compensation device and the like, wherein the contact line is a lead which is in direct contact with a pantograph of an electric locomotive and is in sliding friction current receiving; the support device may include: the cantilever, the horizontal pull rod (or the horizontal cantilever), the suspension insulator string, the rod insulator and the like are used for suspending and supporting contact suspension and transmitting various stresses to large buildings such as a pillar or a bridge tunnel and the like; simultaneously, the carrier rope and the contact line are fixed in a certain range through a positioning component (a positioning pipe, a positioner and the like), so that the pantograph has good contact with the contact line when sliding; the support and the foundation are used for installing the supporting device, suspending the supporting device in a contact manner and bearing the load, and additional wires such as a power supply wire, a reinforcing wire, a return wire (NF wire), a positive feeder wire (AF wire), a protection wire (PW wire) and the like which are arranged according to different power supply modes are all installed at different height positions of the support, and protection equipment, electric equipment and the like which are arranged for power supply safety and the requirement of maintenance and overhaul operation are also installed on the support.
The overhead line system comprises various parts, in order to ensure the normal operation and maintenance of urban rail transit, the timely supply and maintenance of the overhead line system parts are required, and the overhead line system parts warehouse is taken as an important link in the railway transportation field, so that simulation becomes an important way for detecting whether the layout of the overhead line system parts warehouse and the material efficiency of the overhead line system parts warehouse are reasonable or efficient.
Based on this, an embodiment of the present application provides a simulation system for evaluating a warehouse layout of a contact net part, and fig. 1 is a schematic structural diagram of a simulation system for evaluating a warehouse layout of a contact net part provided in an embodiment of the present application, as shown in fig. 1, the simulation system 10 for evaluating a warehouse layout of a contact net part may include:
the simulation input module 110 is configured to input warehouse layout data of the contact network part warehouse through the interactive interface, and parameterize data of all entities in the contact network part warehouse according to the warehouse layout data to obtain corresponding entity parameters, where the entities include: regional layout, shelves, workstations and robots, the physical parameters of regional layout include: warehouse size parameters, workstation area, mobile shelf storage area and charging area, and the entity parameters of goods shelves include: the physical parameters of the workstation include: the physical parameters of the robot comprise: robot number information and robot running state parameters;
The simulation modeling module 120 is configured to establish a simulation model of all entities and determine a layout strategy of the contact net part warehouse to obtain strategy data; performing simulation modeling according to warehouse layout data, entity parameters and strategy data to generate a warehouse simulation model of the contact net parts;
the simulation running module 130 is configured to run the contact net part warehouse simulation model to obtain a plurality of simulation results in response to a running operation of a user, where the running operation of the user includes: inputting a plurality of groups of simulation parameters;
the simulation result evaluation module 140 is configured to perform statistical analysis on the obtained multiple simulation results to evaluate whether the warehouse layout of the contact net part meets a preset target.
The embodiment of the application provides a simulation system for evaluating the layout of a contact net part warehouse, which presents the layout and detailed operation process of the contact net part warehouse in a three-dimensional mode. The user inputs warehouse layout data of the contact net part warehouse through an interactive interface (Graphical User Interface, GUI) which transmits the data to a simulation system background of the contact net part warehouse layout. After receiving all warehouse layout data, strategy data for representing the layout strategy of the contact net part warehouse and entity parameters, starting a simulation modeling process, automatically creating an entity three-dimensional physical model and calculating entity coordinates by a simulation system of the contact net part warehouse layout according to the entity data, constructing a model layout, and generating a workflow of the contact net part warehouse simulation model according to the robot working strategy and the contact net part layout strategy. After the simulation modeling is finished, the running simulation can be compiled, the running state of the contact net part warehouse simulation model can be displayed in a three-dimensional dynamic mode, system running data can be analyzed in real time and displayed in a dynamic visual mode, and after the simulation is finished, a user can derive a simulation result and other running data according to requirements.
In one possible embodiment, the simulation system 10 for evaluating a warehouse layout of contact net parts may further comprise:
the simulation output module 150 is configured to derive a plurality of simulation results of the contact net part warehouse simulation model, and the simulation result evaluation module performs statistical analysis according to the plurality of simulation results derived by the simulation output module to evaluate whether the contact net part warehouse layout meets a preset target.
In one possible implementation, the simulation input module 110 may further include:
the first input submodule is used for inputting warehouse layout data of the contact net part warehouse;
and the second input sub-module is used for inputting a plurality of groups of simulation data in the simulation process.
In one possible implementation, the simulation modeling module 120 may further include:
the physical modeling module is used for establishing a parameterized model according to the warehouse layout data and the data of all the entities in the warehouse of the contact network part, and determining the entity parameters of all the entities; calculating the position coordinates of all entities through the relative position coordinates among the entities;
the flow modeling module is used for determining a layout strategy of the contact net part warehouse and a following strategy of the robot so as to carry out simulation modeling.
The first input submodule realizes the data parameterization of all entities in the contact net part warehouse, and before modeling, a user inputs warehouse layout data of the contact net part warehouse through page interaction. The simulation system 10 entity parameterization of the warehouse layout of the contact net parts mainly comprises four parts: the regional layout, the goods shelves, the workstations and the robots are used for establishing parameterized and hierarchical models aiming at the four parts, so that all parameters of the simulation system 10 of the warehouse layout of the contact net parts can be determined. Wherein the physical parameters of the region layout include: warehouse size parameters, workstation area, mobile shelf storage area and charging area, and the entity parameters of goods shelves include: the physical parameters of the workstation include: the physical parameters of the robot comprise: robot number information and robot operating state parameters.
The simulation system 10 for the warehouse layout of the contact net parts comprises two work stations, namely a warehouse-in work station and a warehouse-out work station, wherein the warehouse-in work station completes a replenishment warehouse-in process, and the warehouse-out work station completes a picking warehouse-out process.
The automatic modeling process of the entity in the physical modeling sub-module is to call the entity creation program, input the known parameters, generate a plurality of entities, and calculate the position coordinates of all the entities through the relative position coordinates among the entities. The simulation system 10 of the warehouse layout of the contact net parts comprises the following main entities: storage shelves, workstations, robots.
As a possible implementation, the physical parameters of the region layout may include: warehouse size parameters, mobile shelf storage areas, workstation areas, charging areas and material storage positions; the physical parameters of the shelf may include: the method comprises the steps of including shelf size parameters such as height, number, length, width and the like of the shelves, shelf position information including self position information of each shelf and relative position information between the shelves, and shelf distance information between the shelves; the physical parameters of the workstation include: warehouse-in workstation information, warehouse-out workstation information and contact net part types and quantity required by the warehouse-out workstation; the physical parameters of the robot may include: the number of robots, the robot speed, the robot handling capacity, and the rules of interaction between the robots and the shelves.
In one possible implementation manner, the simulation output module can output a simulation result after the simulation is finished, and can also analyze system operation data in real time and perform dynamic visual display in the simulation operation process. After the simulation is finished, the user can also view and export inventory data, robot operation data and workstation operation data.
In the embodiment of the application, as all entities in the contact net part warehouse and main influencing factors of each link in the layout process of the contact net part warehouse are parameterized, the parameters are input or modified through the man-machine interaction interface, the rapid modeling simulation of the layout of the contact net part warehouse is realized, the huge workload of manual modeling is avoided, and the modeling speed is greatly improved; and according to the statistical analysis of the simulation results, whether the layout scheme of the warehouse of the contact net parts meets the preset target can be accurately estimated, and the accuracy of estimation is improved.
Based on the simulation system for evaluating the warehouse layout of the contact net parts, the embodiment of the application also provides a simulation method for evaluating the warehouse layout of the contact net parts, and fig. 2 is a schematic implementation flow chart of the simulation method for evaluating the warehouse layout of the contact net parts, as shown in fig. 2, the simulation method for evaluating the warehouse layout of the contact net parts may include:
step S1: inputting warehouse layout data through an interactive interface, and parameterizing data of the entity in the warehouse of the contact network part according to the warehouse layout data so as to obtain entity parameters of the entity;
Step S2: establishing simulation models of all entities and determining layout strategies of contact net part warehouses to obtain strategy data;
step S3: performing simulation modeling according to warehouse layout data, entity parameters of the entity and strategy data to generate a warehouse simulation model of the contact net part;
step S4: running a contact net part warehouse simulation model to obtain a plurality of simulation results;
step S5: and carrying out statistical analysis on the obtained simulation results to evaluate whether the warehouse layout of the contact net parts meets a preset target.
The specific implementation process of the simulation method for evaluating the warehouse layout of the contact net parts is described in detail below.
Step S1: warehouse layout data is input through the interactive interface, and data of all entities in the contact network part warehouse are parameterized according to the warehouse layout data so as to obtain entity parameters of the entities.
And the warehouse layout data is input through the interactive interface, so that the equal proportion simulation of the warehouse layout of the contact network parts based on the real warehouse layout data can be realized. Based on the input warehouse layout data, all entities in the contact network part warehouse are parameterized to obtain entity parameters of all the entities, parameters related to the warehouse layout can be determined by parameterizing the warehouse layout data, and automatic and rapid simulation based on the determined parameters is facilitated.
Step S2: and establishing simulation models of all entities and determining layout strategies of the contact net part warehouse to obtain strategy data.
And establishing simulation models of all entities in a simulation system of the contact net part warehouse layout so as to realize real-time simulation of the real contact net part warehouse.
Step S3: and performing simulation modeling according to the warehouse layout data, the entity parameters of the entity and the strategy data to generate a warehouse simulation model of the contact net parts.
Step S4: and (3) operating the contact net part warehouse simulation model to obtain a plurality of simulation results.
A Monte Carlo method is adopted to randomly generate a plurality of groups of simulation parameters, and a contact net part warehouse simulation model is operated based on each group of simulation parameters to generate corresponding simulation results so as to obtain a plurality of simulation results.
In an embodiment of the present application, the simulation parameters may include: a time sequence of warehousing and a time sequence of ex-warehouse. By determining the time sequence of warehouse entry and the time sequence of warehouse exit, the simulation of the layout scheme of the contact network part warehouse meeting the transportation time can be determined.
Step S5: and carrying out statistical analysis on the obtained simulation results to evaluate whether the warehouse layout of the contact net parts meets a preset target.
In the embodiment of the application, the contact net part warehouse simulation model is automatically and quickly generated according to the warehouse layout data, the entity parameters of all the entities in the contact net part warehouse and the strategy data related to layout, all possible layout schemes of the contact net part warehouse are simulated by using the contact net part warehouse simulation model, a plurality of simulation results are obtained, the obtained simulation results are subjected to statistical analysis, whether the layout of the contact net part warehouse meets a preset target can be rapidly and accurately estimated, and the optimal layout of the contact net part warehouse can be determined in the contact net part warehouse layout schemes.
As a possible implementation manner, step S4 may further include:
randomly generating a plurality of groups of simulation parameters by adopting a statistical simulation method;
inputting a plurality of groups of simulation parameters into a warehouse simulation model of the contact net parts one by one to carry out compiling operation simulation;
and obtaining simulation results of each group of simulation parameters to obtain a plurality of simulation results.
As one possible implementation, the simulation parameters include: the warehouse-in time sequence and the warehouse-out time sequence which corresponds to the warehouse-in time sequence one by one.
As a possible implementation manner, the simulation result includes: at least one of robot utilization, contact net spare part waiting time and warehouse storage efficiency.
In the embodiment of the application, the corresponding simulation result is obtained by inputting different simulation parameters, and the current simulation result can be evaluated through various result performance indexes such as the robot utilization rate, the waiting time of the contact net parts, the warehouse storage efficiency and the like in the simulation result. Optionally, three simulation result performance parameters, including a robot utilization rate, a contact net part waiting duration and a warehouse storage efficiency, in the simulation result may have priority, for example, the priority of the contact net part waiting duration, which is the simulation result performance parameter, may be higher than the robot utilization rate in the simulation result, when in the two simulation results, the contact net part waiting duration of the first simulation result is better than the contact net part waiting duration of the second simulation result, and the robot utilization rate of the first simulation result is inferior to the robot utilization rate of the second simulation result, and then the priority of the contact net part waiting duration, which is the simulation result performance parameter, may be higher than the robot utilization rate in the simulation result, based on the contact net part waiting duration, determines that the layout scheme in the first simulation result is better than the layout scheme in the second simulation result. It should be noted that, the priority of the performance parameter of the simulation result, which is the waiting time of the contact net part, may be higher than the utilization rate of the robot in the simulation result, which is only exemplary, and the priority of the performance parameter of the three simulation results, which is the utilization rate of the robot, the waiting time of the contact net part and the warehouse storage efficiency, may be determined according to the actual requirement, which is not limited herein.
As a possible implementation manner, step S5 may further include:
carrying out statistical analysis on the simulation results to obtain at least one of a first statistical characteristic parameter of the utilization rate of the robot, a second statistical characteristic parameter of the waiting time of the contact net parts and a third statistical characteristic parameter of the warehouse storage efficiency;
and determining whether the warehouse layout of the contact net parts meets a preset target according to whether the first statistical characteristic parameter, the second statistical characteristic parameter and the third statistical characteristic parameter are larger than a preset threshold.
Calculating probability distribution and statistical rules respectively corresponding to the robot utilization rate, the waiting time of the contact net parts and the warehouse storage efficiency by carrying out statistical analysis on all simulation results so as to obtain a first statistical characteristic parameter of the robot utilization rate, a second statistical characteristic parameter of the waiting time of the contact net parts and a third statistical characteristic parameter of the warehouse storage efficiency; determining whether the warehouse layout of the contact net parts meets a preset target according to whether the first statistical characteristic parameter, the second statistical characteristic parameter and the third statistical characteristic parameter are larger than a preset threshold value, wherein the preset threshold value can be the same preset threshold value or different preset threshold value corresponding to each statistical characteristic parameter respectively.
As a possible implementation manner, step S5 may further include:
and determining the influence degree of the simulation parameters on the simulation results according to the plurality of groups of simulation parameters and the plurality of simulation results, wherein the influence degree is used for representing the correlation between the change of the simulation parameters and the change of the simulation results.
Specifically, the operation process of the simulation system for warehouse layout evaluation of the contact net parts in this embodiment is as follows:
step one, setting decision variables and system parameters, including setting: a. decision variables; system parameter settings. Wherein: the decision variables comprise a shelf position variable, a robot-shelf interaction variable, a material storage variable, a warehouse entry port and a warehouse exit port variable; the system parameter settings include the following: the height, the number, the length and the width of the goods shelves, a distance matrix between the goods shelves, a relative position relation matrix between the goods shelves, the storage positions and the number of materials, the positions and the number of the warehouse-in ports and the warehouse-out ports, and the types and the number of materials required by the warehouse-out ports.
The specific characterization of each parameter is as follows:
shelf position variable: x is x i ,y i The abscissa and ordinate of the ith pallet are indicated. These variables determine the position of the shelf.
Robot and shelf interaction variables: r is (r) i r j Indicating whether the robot i interacts with the shelf j, the value is 0 or 1. These variables determine the interaction between the robot and the pallet.
Material storage variable: x is x m ,y m The abscissa and ordinate of the material m are indicated. These variables determine the storage location of the material.
Warehouse entry and exit variables: x is x in ,y in And x out ,y out And the abscissa and the ordinate of the warehouse-in port and the warehouse-out port are represented. These variables determine the location of the entry and exit ports.
Height, number, length, width of the shelf: h is a i ,N s ,L i ,W i . These parameters define the properties of the shelves.
Distance matrix between shelves: d= [ D ] ij ]Representing the distance between the i-th shelf and the j-th shelf. This matrix defines the distance relationship between shelves.
Relative positional relationship matrix between shelves: r= [ R ] ij ]The relative positional relationship between the i-th shelf and the j-th shelf is shown. This matrix defines the relative positional relationship between shelves.
Material storage location and quantity: (x) m ,y m ),N m . These parameters define the storage location and quantity of the material.
Position and delivery of warehouse entry and exitQuantity: (x) in ,y in ),N in And (x) out ,y out ),N out . These parameters define the location and number of the entry and exit ports.
The types and the quantity of materials required by the warehouse outlet: o= [ O ] m ]The condition that the material m is needed at the warehouse outlet is shown. This parameter defines the demand materials for the outlet.
Step two, establishing an objective function:
setting a material average waiting time objective function: minimum T w The method comprises the steps of carrying out a first treatment on the surface of the The average waiting time index of the materials is the average waiting time required by measuring the materials from warehouse entry to warehouse exit. By minimizing this index, the efficiency of warehouse operations may be improved.
Let the robot utilization objective function: maximaze U r The method comprises the steps of carrying out a first treatment on the surface of the The utilization rate index of the robot is used for measuring the utilization rate of the robot in the warehouse operation process. By maximizing the index, the robot resources can be fully utilized, and the operation efficiency of the warehouse can be improved.
Establishing constraint conditions:
the constraint conditions include: the method comprises the steps of a goods shelf position constraint condition, a constraint condition of distance and relative position relation between goods shelves, a constraint condition of robot and goods shelf interaction, a constraint condition of material storage, a constraint condition of a warehouse-in port and a warehouse-out port, and a constraint condition of materials required by the warehouse-out port.
A shelf location constraint; the location of each shelf is within the warehouse boundary: x is x i ≥0,y i ≥0,x i ≤L,y i And less than or equal to W, wherein L and W are the length and width of the warehouse. These constraints ensure that the location of the shelves is within the warehouse.
Constraint conditions of distance and relative positional relationship between shelves: r is (r) ij =1 only when d ij ≤D max Wherein D is max Is the maximum distance between shelves. These constraints ensure that the distance and relative positional relationship between shelves are satisfactory.
Robot and goods shelf interaction constraint conditions: each robot interacts with at most one shelf: Σr i r j And is less than or equal to 1, and is applicable to all j. These constraints ensure that each robot interacts with at most one shelf, avoiding collisions and repetitive operations.
Material storage constraint conditions: the location of each item is within the warehouse boundary: x is x m ≥0,y m ≥0,x m ≤L,y m And less than or equal to W, wherein L and W are the length and width of the warehouse. These constraints ensure that the storage location of the material is within the warehouse.
Warehouse entry and exit constraints: the positions of the warehouse entry and the warehouse exit are within the warehouse boundary: x is x in ≥0,y in ≥0,x in ≤L,y in ≤W，x out ≥0,y out ≥0,x out ≤L,y out W is less than or equal to W. These constraints ensure that the locations of the warehouse entry and exit ports are within the warehouse.
Material constraint conditions required by a warehouse outlet: the type and the quantity of materials needed by the warehouse outlet meet the requirements: sigma o m ≤N out For all m. These constraints ensure that the type and amount of material required for the delivery port is satisfactory.
Solving based on genetic algorithm
The genetic algorithm is an optimization algorithm based on the biological evolution principle. The method simulates the evolution process in the nature, and searches the optimal solution of the problem through genetic operation and fitness evaluation. Genetic algorithms use a coded version of a set of candidate solutions (called individuals), generate new individuals through genetic manipulation (crossover, mutation) and selection strategies, and select next generation individuals based on their fitness evaluation. This process is repeated until either the stopping criterion is met or a preset number of iterations is reached.
A detailed step of solving the problem based on genetic algorithm:
initializing a population: a set of initial individuals (parameter settings) is randomly generated to form an initial population. Each individual consists of a group of decision variables corresponding to parameter settings of the warehouse layout of the contact net parts.
Calculating the fitness: and performing simulation operation on each individual, and calculating performance indexes of the individual, such as average waiting time of materials and utilization rate of robots, by using a simulation model. And taking the performance index as the fitness evaluation of the individual.
Selection operation: using a selection operator, parent individuals are selected according to fitness values of the individuals for use in generating next generation individuals. The selection operation selects a better individual as a parent with a certain probability according to the size of the fitness value.
Crossover operation: and performing crossover operation on the selected parent individuals by using crossover operators to generate new child individuals. In the context of a warehouse layout of catenary components, crossover operations may produce new child individuals by exchanging layout parameters (e.g., shelf locations, warehouse entry and exit locations, etc.) between individuals.
Mutation operation: mutation operation is carried out on offspring individuals by using mutation operators, and new genetic mutation is introduced. Mutation operations increase the diversity and exploratory capacity of populations by randomly changing certain layout parameter values of individuals.
Updating the population: the parent individuals and the offspring individuals are combined to form a new population.
Repeating the iteration: steps 2 to 6 are repeated until a stopping criterion is met (e.g. a maximum number of iterations or objective function convergence is reached).
Outputting a result: and selecting the individual with the highest fitness as an optimal solution, and corresponding to a simulation result with the optimal layout parameters. Further analysis and optimization may be performed based on the layout parameter settings of the optimal individual.
The following is one example of performing example simulation parameters:
height, number, length, width of the shelf: h is a i ＝2m,N s ＝10,L i ＝3m,W i ＝2m
Distance matrix between shelves:
relative positional relationship matrix between shelves:
material storage location and quantity: (x) m ,y m )＝[(2,1),(3,4),(1,3)],N m ＝[5,8,3]
The positions and the number of the warehouse-in ports and the warehouse-out ports: (x) in ,y in )＝(0,0),N in ＝2,(x out ,y out )＝(4,3),N out =1 kinds and amounts of materials required for the warehouse outlet: o= [1,0,1]
The following are the initialization parameters related to the genetic algorithm:
| parameters (parameters) | Numerical value |
| Population size | 50 |
| Maximum number of iterations | 100 |
| Crossover probability | 0.8 |
| Probability of variation | 0.1 |
| Selection operator | Tournament selection |
| Crossover operator | Single point crossover |
| Mutation operator | Random variation |
| Stop criterion | Up to the number of iterations |
50 individuals in each generation participate in the operation of the genetic algorithm, the genetic algorithm is iterated 100 times, and in the crossing operation, 80% probability selection is performed; in the mutation operation, the mutation probability of each gene (parameter) was 10%. The selection operator uses tournament selection, i.e. competition selection based on fitness values of individuals. The crossover operator uses single point crossover to generate new individuals by exchanging individual gene segments. The mutation operator adopts random mutation to randomly change some gene values of individuals. The stopping criterion may be that the objective function converges, i.e. the iteration is stopped when the change in the objective function value is smaller than a certain threshold. The objective function weight is used for calculating the fitness value, and the contribution of the average waiting time of materials and the utilization rate of the robot to the objective function is balanced.
The following is an example of simulation results, showing the change of objective functions before and after optimization:
| objective function | Before optimization | After optimization | Performance of |
| Objective function 1 ∈ | 432 | 218 | Lifting up |
| Objective function 2 ≡ | 52.08％ | 86.90％ | Lifting up |
By observing the table, it can be found that the value of the objective function 1 (average waiting time of the material) after optimization is smaller than the objective function value before optimization, and the value of the objective function 2 (robot utilization) is larger than the objective function value before optimization, which means that the performance index can be significantly improved by optimizing the layout or the parameter setting.
It should be noted that, in the embodiment of the present application, if the determination of the interest level is implemented in the form of a software functional module, and is sold or used as a separate product, the interest level may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. Thus, embodiments of the application are not limited to any specific combination of hardware and software.
Accordingly, an embodiment of the present application provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps in the simulation method for evaluating a warehouse layout of a contact net part provided in the above embodiment.
Referring to fig. 3, an embodiment of the present application provides an electronic device; fig. 3 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application, as shown in fig. 3, the electronic device 500 includes: a processor 501, at least one communication bus 502, a user interface 503, at least one external communication interface 504, a memory 505. Wherein the communication bus 502 is configured to enable connected communication between these components. The user interface 503 may include a display screen, and the external communication interface 504 may include a standard wired interface and a wireless interface, among others. The processor 501 is configured to execute a program stored in a memory for evaluating a simulation of a warehouse layout of a catenary component to implement the steps in the simulation method for evaluating a warehouse layout of a catenary component provided in the above-described embodiment.
The description of the electronic device and the storage medium embodiments above is similar to that of the method embodiments described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the computer apparatus and the storage medium of the present application, please refer to the description of the method embodiment of the present application.
It should be noted here that: the above description of the storage medium and the electronic device, the trash can embodiments is similar to the description of the method embodiments described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and the apparatus of the present application, please refer to the description of the method embodiments of the present application.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application. The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present application may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied essentially or in part in the form of a software product stored in a storage medium, including instructions for causing a controller to perform all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable storage device, a ROM, a magnetic disk, or an optical disk.
The foregoing is merely an embodiment of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A simulation system for evaluating a warehouse layout of contact net parts, the system comprising:
The simulation input module is used for inputting warehouse layout data of the contact net part warehouse through an interactive interface, and parameterizing data of all entities in the contact net part warehouse according to the warehouse layout data to obtain corresponding entity parameters, wherein the entities comprise: region layout, goods shelves, workstation and robot, the entity parameter of region layout includes: warehouse size parameters, workstation area, mobile shelf storage area and charging area, the entity parameters of goods shelves include: goods shelf size parameter, goods shelf position information and goods shelf distance information, the entity parameters of the workstation include: the physical parameters of the robot comprise: robot number information and robot running state parameters;
the simulation modeling module is used for establishing simulation models of all entities and determining layout strategies of the contact net part warehouse to obtain strategy data; performing simulation modeling according to the warehouse layout data, the entity parameters and the strategy data to generate a warehouse simulation model of the contact net part;
the simulation operation module is used for responding to the operation of a user, and operating the contact net part warehouse simulation model to obtain a plurality of simulation results, wherein the operation of the user comprises the following steps: inputting a plurality of groups of simulation parameters;
And the simulation result evaluation module is used for carrying out statistical analysis on the obtained multiple simulation results so as to evaluate whether the warehouse layout of the contact net parts meets a preset target.
2. The simulation system for evaluating a warehouse layout of a catenary component of claim 1, further comprising:
the simulation output module is used for exporting a plurality of simulation results of the contact net part warehouse simulation model, and the simulation result evaluation module performs statistical analysis according to the plurality of simulation results exported by the simulation output module so as to evaluate whether the contact net part warehouse layout meets a preset target.
3. The simulation system for evaluating a warehouse layout of a catenary component of claim 1, wherein the simulation input module comprises:
the first input submodule is used for inputting the warehouse layout data of the contact net part warehouse;
and the second input sub-module is used for inputting a plurality of groups of simulation data in the simulation process.
4. The simulation system for evaluating a warehouse layout of a catenary component of claim 1, wherein the simulation modeling module comprises:
the physical modeling module is used for building a parameterized model for the data of all entities in the contact net part warehouse according to the warehouse layout data and determining entity parameters of all the entities; calculating the position coordinates of all entities through the relative position coordinates among the entities;
And the flow modeling module is used for determining the layout strategy of the contact net part warehouse and determining the following strategy of the robot so as to carry out simulation modeling.
5. A simulation method for evaluating a warehouse layout of a catenary component, the method being applicable to the simulation system for evaluating a warehouse layout of a catenary component according to any one of claims 1-4, the method comprising:
inputting warehouse layout data through an interactive interface, and parameterizing data of all entities in the contact net part warehouse according to the warehouse layout data to obtain entity parameters of the entities;
establishing simulation models of all entities and determining layout strategies of the contact net part warehouse to obtain strategy data;
performing simulation modeling according to the warehouse layout data, the entity parameters of the entity and the strategy data to generate a warehouse simulation model of the contact net parts;
operating the contact net part warehouse simulation model to obtain a plurality of simulation results;
and carrying out statistical analysis on the obtained simulation results to evaluate whether the warehouse layout of the contact net parts meets a preset target.
6. The simulation method for evaluating a warehouse layout of a catenary component according to claim 5, wherein the running the warehouse simulation model of the catenary component obtains a plurality of simulation results, comprising:
Randomly generating a plurality of groups of simulation parameters by adopting a statistical simulation method;
inputting a plurality of groups of simulation parameters into the contact net part warehouse simulation model one by one to carry out compiling operation simulation;
and obtaining simulation results of each group of simulation parameters to obtain a plurality of simulation results.
7. The simulation method for evaluating a warehouse layout of catenary components of claim 6, wherein the simulation parameters include: the warehouse-in time sequence and the warehouse-out time sequence which corresponds to the warehouse-in time sequence one by one.
8. The simulation method for evaluating a warehouse layout of a catenary component according to claim 6, wherein the simulation result comprises: at least one of robot utilization, contact net spare part waiting time and warehouse storage efficiency.
9. The simulation method for evaluating a warehouse layout of a catenary component according to claim 8, wherein the performing a statistical analysis on the obtained plurality of simulation results to evaluate whether the warehouse layout of the catenary component meets a preset target comprises:
carrying out statistical analysis on a plurality of simulation results to obtain at least one of a first statistical characteristic parameter of the utilization rate of the robot, a second statistical characteristic parameter of the waiting time of the contact net parts and a third statistical characteristic parameter of the warehouse storage efficiency;
And determining whether the warehouse layout of the contact net parts meets a preset target according to whether the first statistical characteristic parameter, the second statistical characteristic parameter and the third statistical characteristic parameter are larger than a preset threshold.
10. The simulation method for evaluating a warehouse layout of a catenary component according to claim 9, wherein the performing a statistical analysis on the obtained plurality of simulation results to evaluate whether the warehouse layout of the catenary component meets a preset target, further comprises:
and determining the influence degree of the simulation parameters on the simulation result according to a plurality of groups of the simulation parameters and the simulation results, wherein the influence degree is used for representing the correlation between the change of the simulation parameters and the change of the simulation result.
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