CN113128801A - Vehicle resource management method and device, terminal equipment and storage medium - Google Patents
Vehicle resource management method and device, terminal equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a vehicle resource management method, a device, terminal equipment and a storage medium, wherein the method comprises the following steps: acquiring material information of a transportation object; determining target logistics vehicle information of a transportation object according to the material information; and generating a material assembly sequence based on the target logistics vehicle information and the material information so as to assemble the transportation object onto the target logistics vehicle according to the material assembly sequence. The problem of transport capacity waste caused by the fact that transport capacity of a vehicle cannot be fully utilized is solved.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a vehicle resource management method, a vehicle resource management device, terminal equipment and a storage medium.
Background
With the progress of globalization, competition among enterprises is becoming increasingly intense, and logistics technology and storage capacity levels are increasingly weighted in enterprise competitiveness levels.
At present, for the logistics transportation of large-batch and various types of materials, more workers select a proper vehicle type according to experience, and then the materials are loaded on related vehicles and filled fully. Because the proper vehicle type is selected according to the experience of the working personnel for material transportation, the transportation capacity of the vehicle cannot be fully utilized in some scenes, and the transportation capacity is wasted.
Disclosure of Invention
The embodiment of the invention provides a vehicle resource management method, a vehicle resource management device, terminal equipment and a storage medium, and aims to solve the problem that the transport capacity of a vehicle cannot be fully utilized and is wasted in the related art.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a vehicle resource management method, which may include:
acquiring material information of a transportation object;
determining target logistics vehicle information of a transportation object according to the material information;
and generating a material assembly sequence based on the target logistics vehicle information and the material information so as to assemble the transportation object onto the target logistics vehicle according to the material assembly sequence.
In a possible embodiment, the above mentioned "material information" may include material physical property information and material logistics property information;
wherein the material physical property information comprises at least one of the following: material bar codes, material names, suppliers, belonged bodies, inventory types, belonged items, material batches, packaging quantity, packaging length, packaging width, packaging height, weight and stacking conditions;
the material flow characteristic information comprises at least one of the following: logistics charging mode, transportation classification, pressure bearing condition, packaging condition, safety condition and transportation condition.
In another possible embodiment, the step of "determining the target logistics vehicle information of the transportation object according to the material information" may specifically include:
when a plurality of transport objects are provided, carrying out material classification on the plurality of transport objects according to material information to obtain at least one class group;
and determining target logistics vehicle information of the category group according to the material physical characteristic information and the material logistics characteristic information of the transportation objects in the category group.
In another possible embodiment, the step of "determining the target logistics vehicle information of the transportation object according to the material information" may specifically include:
obtaining vehicle types of a plurality of currently available logistics vehicles and vehicle standard load density corresponding to the vehicle types;
calculating the material density of the transportation object according to the material information;
and determining the target logistics vehicle information of the transportation object according to the standard load density and the material density of the vehicle.
In another possible embodiment, the step of determining the standard load density of the vehicle corresponding to the vehicle type may specifically include:
acquiring the standard maximum load of the vehicle and the standard maximum capacity of the vehicle according to the type of the vehicle;
and determining the standard load density of the vehicle according to the ratio of the standard maximum load of the vehicle to the standard maximum capacity of the vehicle.
In another possible embodiment, the step of "calculating the material density of the transportation object according to the material information" may specifically include:
determining the weight of the materials of the transportation object and the volume of the materials of the transportation object according to the material information;
and obtaining the material density according to the ratio of the weight of the material to the volume of the material.
In another possible embodiment, the step of "determining the target logistics vehicle information of the transportation object according to the standard load density and the material density of the vehicle" may specifically include:
acquiring a basic freight corresponding to the vehicle type according to the vehicle type;
and determining the target logistics vehicle information of the transportation object according to the standard load density, the material density and the basic freight charge of the vehicle.
In still another possible embodiment, the above-mentioned "target logistics vehicle information" may include at least one of: vehicle type, compartment size, load capacity, cargo capacity, number of vehicles.
In another possible embodiment, the step of "determining the target logistics vehicle information of the transportation object according to the material information" may specifically include:
and determining the target logistics vehicle information of the transportation object according to the material information and the basic freight of the vehicle.
In another possible embodiment, the step of generating the material assembly sequence based on the target logistics vehicle information and the material information may specifically include:
processing the target vehicle information and the material information through a material vehicle assembly model to obtain a plurality of assembly sequences;
and determining an assembly sequence of which the priority meets a preset condition in the plurality of assembly sequences as a material assembly sequence, and displaying the material assembly sequence to a user.
In a second aspect, an embodiment of the present invention provides a vehicle resource management device, which may include:
the acquisition module is used for acquiring material information of a transportation object;
the processing module is used for determining target logistics vehicle information of the transport object according to the material information;
and the generating module is used for generating a material assembling sequence based on the target logistics vehicle information and the material information so as to assemble the transportation object to the target logistics vehicle according to the material assembling sequence.
In a third aspect, an embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored on the memory and operable on the processor, and when executed by the processor, the computer program implements the vehicle resource management method according to the first aspect.
In a fourth aspect, there is provided a computer-readable storage medium having stored thereon a computer program for causing a computer to execute the vehicle resource management method as shown in the first aspect, if the computer program is executed in the computer.
In the embodiment of the invention, the goods and materials information of the transport object and the logistics vehicle information of the equipped vehicle are collected, the carrying vehicle of the transport object to be taken out of the warehouse is adapted, the target logistics vehicle information required by the transport object during transportation is finally given, and the goods and materials assembly sequence of each vehicle is given. In this way, due to the variety of material information of each transportation object, the material information and the logistics vehicle information to be determined should be comprehensively calculated and evaluated in detail during calculation. Meanwhile, when the target logistics vehicle is determined, the assembly mode of the transportation object is calculated, and various transportation objects can be subjected to processing such as space reserving, line changing, rotating, blank reserving, crossing, mixed overlapping and laminating, so that the carriage space of the target logistics vehicle is utilized to the maximum extent, and the material assembly sequence of various transportation objects under complex conditions is realized. Thereby, avoid manual intervention, the arrangement goods and materials of rationalization are transferred and are joined in marriage more, and the transport capacity of make full use of vehicle avoids the transport capacity extravagant.
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The present invention will be better understood from the following description of specific embodiments thereof taken in conjunction with the accompanying drawings, in which like or similar reference characters designate like or similar features.
FIG. 1 is a schematic structural diagram of a vehicle resource management system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a vehicle resource management method according to an embodiment of the present invention;
FIG. 3 is a flowchart of a vehicle resource management method based on a vehicle resource management system according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a vehicle resource management device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, along with the process of globalization, competition among enterprises is becoming more and more intense, the weight of logistics technology and storage capacity level in enterprise competitiveness level is increasing, and the logistics management level of the enterprise directly influences the market competitiveness of the enterprise. How to reduce the warehouse logistics cost becomes a major point of enterprise attention.
During the existing logistics transportation, for the logistics transportation of a large number of materials, the materials are generally estimated and adapted according to the volume and the weight of the materials when being delivered from a warehouse, and more workers adopt a box-type method to load and fill the materials according to experience. Thus, the capacity of the vehicle cannot be fully utilized due to the lack of an accurate way for calculating the capacity, and the capacity is wasted.
In order to solve the problems in the related art, embodiments of the present invention provide a vehicle resource management method, an apparatus, a terminal device, and a storage medium, so as to solve the problem that the transportation capacity of a vehicle cannot be fully utilized, which results in transportation capacity waste.
In the embodiment of the invention, in a scene of vehicle resource management in a logistics warehouse, material information of transportation objects such as heavy goods, blister goods material single packages and the like and equipped logistics vehicle information are acquired, and the material information is adapted according to different logistics vehicles to obtain target logistics vehicle information bearing the material information; then, a material assembly sequence is generated based on the target logistics vehicle information and the material information to assemble the transportation object onto the target logistics vehicle according to the material assembly sequence.
Or, under the conditions of more types of goods and materials, complex types and large quantity of goods and materials for delivery, the goods and materials information of transportation objects such as heavy goods, foamed goods and materials single piece package and the like and the equipped logistics vehicle information are acquired, the physical property information of the goods and materials, the logistics property information and the vehicle information of the equipped vehicle library in the goods and materials information of the heavy goods and foamed goods and materials single piece package are acquired, the transportation objects are grouped according to the goods and materials logistics property information, the transportation objects with different logistics requirements are adapted according to different logistics vehicles, and the target logistics vehicle information is obtained. And after grouping is finished, calculating the average material density of each group of transportation objects, and determining and selecting the final target logistics vehicle information according to the average material density, material logistics characteristic information, the number of vehicles required by each vehicle type and the basic freight information of each vehicle type. After the selection of the vehicle model is completed, the heavy goods and the blister goods loaded by a single vehicle are matched, the matching quantity of the blister goods and the heavy goods carried by each vehicle is coordinated, and a carried goods and materials list, an assembly sequence and an assembly position of each vehicle during goods and materials transportation are finally given through a goods and materials vehicle assembly algorithm, so that the transportation capacity of the vehicle is utilized to the maximum extent, and the cost of storage and logistics is reduced.
Based on the above mentioned method, the embodiment of the present invention provides a vehicle resource management system, which can be described in detail with reference to the system shown in fig. 1.
Fig. 1 is a schematic structural diagram of a vehicle resource management system according to an embodiment of the present invention.
As shown in fig. 1, the system may include: the system comprises an ex-warehouse scheduling module, a physical characteristic information module, a logistics characteristic information module, a material aggregation grouping module, an available vehicle information management module, a vehicle adaptation algorithm module, a basic freight information management module, a vehicle loading optimization module and a vehicle loading recommendation module.
Each of the above modules is explained in detail below:
(1) warehouse-out scheduling module
The ex-warehouse scheduling module is used for providing an obtaining function of material information (which can comprise material physical characteristic information and material logistics characteristic information) of the transportation object when ex-warehouse scheduling personnel perform ex-warehouse scheduling operation on the transportation object, and the scheduling personnel calls the material information of the transportation object through the ex-warehouse scheduling module and provides the material information to the vehicle adaptation algorithm module so that the vehicle adaptation algorithm module calls information related to the transportation object in other modules.
(2) Physical characteristic information module
The physical characteristic information module is used for providing physical characteristic information extraction, splitting and calculation functions for the transport object, and accurate physical characteristic information acquisition of the transport object can be realized by carrying out basic presetting on a physical characteristic information calculation mode for splitting a transport object package.
(3) Logistics characteristic information module
The logistics characteristic information module is used for providing management and extraction functions of logistics information such as logistics charging modes, transportation classifications, pressure bearing conditions, packaging requirements, safety requirements, transportation requirements and the like of types corresponding to the transportation objects.
(4) Material aggregation grouping module
The material aggregation grouping module is used for realizing the functions of aggregating and grouping materials according to different transportation requirements on the transportation object through the information output by the physical characteristic information module and the logistics characteristic information module.
It should be noted that in some scenarios, the module may be absent, i.e. the physical characteristics module and the logistic characteristics module are directly connected to the vehicle adaptation algorithm module 6.
(5) Available vehicle information management module
The available vehicle information management module is used for providing basic information such as vehicle types, vehicle sizes, loading capacity and the like of the available vehicles for material delivery scheduling in the current warehouse logistics.
(6) Vehicle adaptation algorithm module
The vehicle adaptation algorithm module is used for requesting the logistics characteristic information module and the physical characteristic information module (or the material aggregation grouping module) to acquire the logistics characteristic information and the physical characteristic information according to the transportation object list to be transported output by the ex-warehouse scheduling module.
After data acquisition is completed, the adaptive algorithm module acquires available logistics vehicle information corresponding to each group of goods and materials from the available vehicle information management module according to the transportation object list and the logistics characteristic information and the physical characteristic information corresponding to each transportation object (or calls the goods and materials aggregation grouping module to group the goods and materials, so that the transportation objects with different logistics requirements are aggregated and grouped, and according to goods and materials grouping results).
After obtaining the available logistics vehicle information, the vehicle adaptation algorithm module calculates the material density of the transportation object (in each group) according to the material information (or grouping result). And optimizing the vehicles according to the available standard loading density of the vehicles corresponding to the group of transportation objects by a vehicle model optimizing method, obtaining a vehicle adaptation result, estimating the number of the vehicles required when the vehicles of the type are used, and submitting the number to a vehicle loading optimizing module.
(7) Basic freight information management module
The basic freight information management module is used for providing basic freight information maintenance, basic freight information grouping query and information extraction functions of vehicles with different logistics types of available vehicles corresponding to the transportation objects.
(8) Vehicle load preference module
The vehicle loading optimization module is used for calling a vehicle transportation cost calculation function of the basic transportation cost information management module for extracting the current ex-warehouse logistics vehicle adaptation result list, and optimizing the ex-warehouse logistics vehicle adaptation result according to the transportation cost calculation result, so that the target logistics vehicle information is determined.
(9) Vehicle loading recommendation module
And the vehicle loading recommendation module carries out final calculation on the quantity and the loading position of the recommended loading transportation objects of each vehicle of each group of recommended logistics vehicles through a vehicle adaptation algorithm and a vehicle loading algorithm so as to obtain the recommended vehicle adaptation result information of the transportation objects, namely the target logistics vehicle information.
The target logistics vehicle information can comprise the number of vehicles in use, the type and the number of goods loaded on each vehicle, and the loading position information of goods on each vehicle. The final target logistics vehicle information is fed back to the warehouse logistics scheduling personnel to complete the target vehicle loading recommendation of the transportation object, so that the warehouse logistics scheduling personnel can conveniently schedule the vehicle according to the recommendation result; and the storage operators can conveniently load the materials for the vehicles according to the recommended results.
Therefore, based on the system, the vehicle resource management method provided by the embodiment of the invention is explained in detail.
Fig. 2 is a flowchart of a vehicle resource management method according to an embodiment of the present invention.
As shown in fig. 2, the method may include steps 210-230, which are specifically as follows:
and step 210, acquiring material information of the transportation object.
The material information comprises material physical characteristic information and material logistics characteristic information.
Here, the material physical property information includes at least one of: material bar code, material name, supplier, belonging subject, inventory type, belonging item, material batch, packaging quantity, packaging length, packaging width, packaging height, weight and stacking condition.
The material flow characteristic information comprises at least one of the following: logistics charging mode, transportation classification, pressure bearing condition, packaging condition, safety condition and transportation condition.
And step 220, determining target logistics vehicle information of the transportation object according to the material information.
(1) The embodiment of the invention provides a mode for determining target logistics vehicle information according to material information, which comprises the following specific steps:
wherein, in one possible embodiment, the step may comprise:
obtaining vehicle types of a plurality of currently available logistics vehicles and vehicle standard load density corresponding to the vehicle types;
calculating the material density of the transportation object according to the material information;
and determining the target logistics vehicle information of the transportation object according to the standard load density and the material density of the vehicle.
Here, when determining the standard load density of the vehicle corresponding to the above-mentioned vehicle type, a specific manner may be as follows:
acquiring the standard maximum load of the vehicle and the standard maximum capacity of the vehicle according to the type of the vehicle;
and determining the standard load density of the vehicle according to the ratio of the standard maximum load of the vehicle to the standard maximum capacity of the vehicle.
Furthermore, in the case where the density of the material to be transported is calculated in the above step, the embodiment of the present invention provides a method, which is specifically as follows:
determining the weight of the materials of the transportation object and the volume of the materials of the transportation object according to the material information;
and obtaining the material density according to the ratio of the weight of the material to the volume of the material.
Then, the step of determining the target logistics vehicle information of the transportation object according to the determined standard load density and material density of the vehicle may specifically include:
acquiring a basic freight corresponding to the vehicle type according to the vehicle type;
and determining the target logistics vehicle information of the transportation object according to the standard load density, the material density and the basic freight charge of the vehicle.
It should be noted that the above mentioned information of the target logistics vehicles includes at least one of the following items: vehicle type, compartment size, load capacity, cargo capacity, number of vehicles.
Based on this, in another possible embodiment, in some possible scenarios (for example, scenarios with too many kinds and large number of transportation objects), in an embodiment of the present invention, before determining the target logistics vehicle information of the transportation object, the transportation object may further be subjected to material classification, and thus the step may specifically include:
when a plurality of transport objects are provided, carrying out material classification on the plurality of transport objects according to material information to obtain at least one class group;
obtaining vehicle types of a plurality of currently available logistics vehicles and vehicle standard load density corresponding to the vehicle types;
calculating the material density of the transported objects in each category group;
according to the standard load density and material density of the vehicle,
and determining target logistics vehicle information of the category group according to the material physical characteristic information and the material logistics characteristic information of the transportation objects in the category group.
(2) Based on the two possible embodiments in (1), in addition to the manner of determining the target logistics vehicle information according to the material information, the embodiment of the invention further provides a method for determining the target logistics vehicle information according to the material information and the basic freight of the vehicle, which specifically includes the following steps:
and determining the target logistics vehicle information of the transportation object according to the material information and the basic freight of the vehicle.
And step 230, generating a material assembly sequence based on the target logistics vehicle information and the material information, so as to assemble the transportation object onto the target logistics vehicle according to the material assembly sequence.
In practical applications, besides the need to adapt the transport object to the appropriate target logistics vehicle, a determination is also needed
Processing the target vehicle information and the material information through a material vehicle assembly model to obtain a plurality of assembly sequences;
and determining an assembly sequence of which the priority meets a preset condition in the plurality of assembly sequences as a material assembly sequence, and displaying the material assembly sequence to a user.
In the embodiment of the invention, the goods and materials information of the transport object and the logistics vehicle information of the equipped vehicle are collected, the carrying vehicle of the transport object to be taken out of the warehouse is adapted, the target logistics vehicle information required by the transport object during transportation is finally given, and the goods and materials assembly sequence of each vehicle is given. In this way, due to the variety of material information of each transportation object, the material information and the logistics vehicle information to be determined should be comprehensively calculated and evaluated in detail during calculation. Meanwhile, when the target logistics vehicle is determined, the assembly mode of the transportation object is calculated, and various transportation objects can be subjected to processing such as space reserving, line changing, rotating, blank reserving, crossing, mixed overlapping and laminating, so that the carriage space of the target logistics vehicle is utilized to the maximum extent, and the material assembly sequence of various transportation objects under complex conditions is realized. Thereby, avoid manual intervention, the arrangement goods and materials of rationalization are transferred and are joined in marriage more, and the transport capacity of make full use of vehicle avoids the transport capacity extravagant.
In order to facilitate understanding of the method provided by the embodiment of the invention, based on the system and the method, the vehicle resource management method provided by the embodiment of the invention is exemplified by taking the example of obtaining the warehousing material vehicle adaptation information in the actual operation of the warehousing and logistics scheduling personnel.
Fig. 3 is a flowchart of a vehicle resource management method based on a vehicle resource management system according to an embodiment of the present invention.
As shown in fig. 3, the method is applied to a vehicle resource management system, wherein the method may include steps 301 to 309, specifically as follows:
step 301, the ex-warehouse scheduling module receives the transportation objects to be ex-warehouse, which are determined by the warehouse logistics scheduling personnel, and generates a list of the transportation objects to be ex-warehouse according to the transportation objects.
And step 302, acquiring material logistics characteristic information of the transportation objects according to the transportation object list.
The vehicle adaptation algorithm module requests the logistics characteristic information module to acquire the material logistics characteristic information of the transportation objects in the list according to the transportation object list sent by the receiving ex-warehouse scheduling module;
and the logistics characteristic information module returns the material logistics characteristic information of the corresponding transportation object according to the requested transportation object list.
Wherein the material flow characteristic information may include at least one of: logistics charging mode, transportation classification, pressure bearing condition, packaging condition, safety condition and transportation condition.
And 303, acquiring the physical property information of the transportation object according to the transportation object list.
The vehicle adaptation algorithm module requests the physical characteristic information module to acquire the material physical characteristic information of the transportation objects in the list according to the requested transportation object list;
and the physical characteristic information module returns the material physical characteristic information of the corresponding transport object according to the requested transport object list.
Wherein the material physical property information comprises at least one of the following: material bar code, material name, supplier, belonging subject, stock type, belonging item, material batch, packaging quantity, packaging length, packaging width, packaging height, weight, stacking conditions (e.g. whether and number of layers that can be stacked).
Here, the material classification that can be used as a basis for the transportation object based on the material physical property information is, for example: classifying the materials with light weight and large volume as the goods to be soaked, and calculating the cost according to the volume; the goods with heavy materials but light volume are classified as heavy goods, and the payment calculation is carried out according to the weight of the goods.
It should be noted that, in this embodiment, the order of determining the physical characteristic information and the physical characteristic information is not specifically limited.
And 304, grouping the transportation objects according to the material logistics characteristic information and the material physical characteristic information to obtain an aggregation grouping result.
The vehicle adaptation algorithm module calls the material aggregation grouping module according to a transport object list to be delivered from a warehouse and material physical characteristic information and material logistics characteristic information corresponding to each transport object, so that the transport objects are grouped, and the differentiation management of the transport objects with different logistics requirements such as common materials, fragility, rainwater resistance, inflammability, explosiveness, liquid and the like is realized. And after the material aggregation grouping module finishes aggregation and grouping of the transportation objects, the aggregation grouping result is fed back to the vehicle adaptation algorithm module.
And 305, acquiring the information of the currently available logistics vehicles according to the aggregation grouping result, and acquiring the standard load density of the vehicles.
The vehicle adaptation algorithm module requests the current available logistics vehicle information from the available vehicle information management module according to the goods and materials grouping result output by the goods and materials aggregation grouping module, and obtains the standard load density of each vehicle type.
Wherein the logistics vehicle information may include at least one of: vehicle type, compartment size, load capacity, cargo capacity, vehicle standard load density.
Further, the method for obtaining the standard load density of the vehicle comprises the following steps: the vehicle standard load density is the maximum load capacity of the vehicle standard/the maximum cargo capacity of the vehicle standard.
Here, the type definition of the basic data of the vehicle adaptation algorithm module for adapting the mathematical model is specifically as follows:
basic data types of the logistics vehicle: t ═ x, y, z, w };
wherein, freight train basic data x, y, z, w type corresponds in proper order: the length, width, height limit and maximum load of the carriage of the vehicle are 4 attributes.
Basic data types of material physical characteristic information: m ═ dx, dy, dz, dw, df, dt };
wherein, the physical property information dx, dy, dz, dw, df, dt basic data types of the materials correspond to the following types in sequence: package length, package width, package height, material weight, stackable quantity (e.g., stackable quantity type (0 means no limitation in number of stacks, 1 means no stacks, 2 and above means number of stacks that can be stacked), transportation billing type (0 means heavy goods, billing by material weight; 1 means blister goods, billing by material volume)).
The available vehicle information management module feeds back the current available logistics vehicle information of each group of transportation objects to the vehicle adaptation algorithm module according to the material logistics characteristic information and the material physical characteristic information of the transportation objects in each group after grouping.
And step 306, determining the material density according to the aggregation grouping result, and estimating the number of vehicles according to the material density and the standard load density of the vehicles.
The vehicle adaptation algorithm module calculates the material density of each group of the transportation objects according to the aggregation grouping result, optimizes the vehicle according to the vehicle standard load density of the group of the transportation objects by a vehicle model optimization method to obtain a vehicle adaptation result, and estimates the number of the vehicles required when the type of the vehicle is used.
The mode of determining the material density may include: and material density is the weight of all the transported objects/volume of all the transported objects.
The vehicle adaptation algorithm of the vehicle adaptation algorithm module may specifically include:
the goal of the vehicle adaptation algorithm is to make the best use of the capacity of the vehicle, i.e. the volume of the blister plus the volume of the heavy goods, which is the loading capacity of the vehicle, and the weight of the blister plus the weight of the heavy goods, which is the loading capacity of the vehicle, may be less than but not exceeded, and the closer the approach the more the demand is met.
The equations may be listed:
Ma*A+Mb*B＝Mt
Va*A+Vb*B＝Vt
ma, Mb, Mt, Va, Vb, Vt are known, and by rounding, the maximum value of the transportation objects a and B can be obtained.
In actual use, due to the variety of the transportation objects, there may be:
Ma*A+Mb*B+Mc*C+……+Mn*N＝Mt
Va*A+Vb*B+Vc*C+……+Vn*N＝Vt
so that the adaptation result has multiple results, and for the situation, the adaptation algorithm has to take priority on several principles:
preferentially grouping according to the transportation characteristic information of the transportation objects, reducing the types and the quantity of the transportation objects during the adaptation of the transportation objects and simultaneously meeting the logistics transportation requirements of different transportation objects.
On the basis of grouping according to the transportation characteristics, grouping each group of transportation objects according to the charging type, namely, the foam goods and the heavy goods, and sequencing the material density according to the charging type.
And combining the heavy goods transportation object and the blister goods transportation object to enable the density of the composite material to be as close to the standard load density of the vehicle as possible, and assembling according to the combination.
It should be noted that the number of vehicles required for using this type of vehicle is submitted by the vehicle adaptation algorithm module to the vehicle loading preference module as well as the vehicle adaptation results for each set of transportation objects.
Among them, the preferable mode of the vehicle model can be as follows:
after the transportation objects are grouped according to the material logistics characteristic information and the material physical characteristic information, calculating the material density of each group respectively, calculating the vehicle standard load density of each vehicle simultaneously, taking several groups of results with the closest density, evaluating the number of vehicles approximately needed respectively, performing preliminary optimization, and selecting several types of vehicles with the highest cost performance.
And 307, acquiring basic freight information of the corresponding vehicle in the vehicle adaptation result according to the vehicle adaptation result.
The vehicle loading optimization module requests the basic freight information management module to acquire the basic freight information of the corresponding vehicle according to the vehicle adaptation result of each group of materials submitted by the adaptation algorithm module.
Here, the basic freight information management module feeds back basic freight information of the corresponding vehicle to the vehicle loading preference module.
And 308, determining target logistics vehicle information according to the vehicle adaptation result and the basic freight information.
The vehicle loading optimization module calculates and obtains the optimal vehicle type of each group of transportation objects according to the vehicle adaptation result of each group, the number of vehicles required when each group of transportation objects selects different types of vehicles and the basic freight information of each vehicle type, and the number of the vehicles is submitted to the vehicle loading recommendation module.
And 309, generating a material assembly sequence and displaying the material assembly sequence based on the target logistics vehicle information and the material information.
Here, the vehicle loading recommendation module obtains the final transportation object ex-warehouse recommended vehicle adaptation result information, i.e. target logistics vehicle information through a vehicle loading algorithm, where the target logistics vehicle information may include the number of vehicles in use, the type and number of transportation objects loaded in each vehicle, loading position information of vehicles corresponding to each transportation object, loading sequence information, and the like. And the result information is fed back to the warehouse logistics scheduling personnel to complete the vehicle loading recommendation of the transportation object leaving the warehouse, so that the warehouse logistics scheduling personnel can conveniently schedule the vehicle according to the recommendation result, and the warehousing operation personnel can conveniently load materials for the vehicle according to the recommendation result.
The steps of the algorithm for realizing vehicle loading are as follows:
and grouping the loading and transporting objects of each vehicle according to the standard load density and the material density of the vehicles to obtain a loading and transporting object list of each vehicle.
And assembling according to the transportation object list of each vehicle and the transportation object assembling principle.
Assembly principle of the transported object:
during vehicle assembly, the transportation object assembles the goods according to the principle of heavy goods first and then the goods, big piece first and then the smallclothes, lower floor first and then upper floor.
Loading position and assembly sequence algorithm:
the type of basic data of the three-dimensional data for assembling the target logistics vehicle is as follows:
SM＝{xyz0,xyz1,x,y,z,w,f,fn}
the three-dimensional data basic data xyz0, xyz1, x, y, z, w, f and fn types of the material vehicle assembly are as follows in sequence: the three-dimensional coordinate of the starting space, the three-dimensional coordinate of the ending space, the packaging height, the weight of materials, the number of layers which can be stacked and the number of layers.
On the basis, the space coordinate and material physical characteristic information of each transportation object assembly is as follows:
assembly coordinates of material S0:
SM＝{[0,0,0],[S0.DX,S0.DY,S0.DZ],S0.DX,S0.DY,S0.DZ,S0.DF,1,1}
assembly coordinates of material S01:
SM＝{[0,0,S0.DZ],[S0.DX,S0.DY,S0.DZ+S01.DZ],S0.DX,S0.DY,S0.DZ+S01.DZ,S0.DF,2,1}
the basic three-dimensional mathematical model of the target logistics vehicle assembly can be established by the construction of the data types of the three-dimensional data of the vehicle and the three-dimensional data of the goods and materials and the basic data type of the three-dimensional data of the goods and materials loading.
And according to the material assembly principle, carrying out priority sequencing on the loading and transporting objects of the target logistics vehicle to obtain a most basic transporting object loading sequence list.
After the loading sequence is finished, the loading of the transport objects can be finished by referring to the transport object loading sequence table according to the rectangular and cuboid layout algorithm.
Based on this, in practical application, due to the variety of physical characteristic information of each material, in the layout calculation, the physical characteristic information of the material of the transportation object to be loaded and the length and width of the carriage should be calculated comprehensively, evaluated and the like in detail. Meanwhile, according to different evaluation results, when the loading modes of the transportation objects are calculated, various types of transportation objects are subjected to processes of inter-leaving, line changing, rotating, blank leaving, crossing, overlapping, laminating and the like, so that the space of a carriage is utilized to the maximum extent, and the vehicle loading modes and the loading positions of various transportation objects under complex conditions are calculated.
In the embodiment of the invention, the final recommendation result can be used for marking the two-dimensional code, the bar code information and the position information of the loaded materials of each vehicle in detail according to a space coordinate system, the vehicle and the loaded materials can be modeled through a three-dimensional simulation image, the installation step is simulated according to the space coordinate system, and meanwhile, the simulation result is displayed through a large screen, so that an installer can conveniently install the materials according to the simulation step; and the space coordinate information can be transmitted to the industrial robot in the later period, and the industrial robot carries out automatic installation according to the simulation steps.
In conclusion, in the embodiment, the physical property information of the goods and materials packaged by the heavy goods and the blister goods transportation object single piece and the vehicle information equipped with the vehicle library are acquired, the vehicles carrying the goods to be delivered out of the warehouse are adapted, the matching quantity of the blister goods and the heavy goods carried by each vehicle is coordinated, the models and the quantity of the vehicles required during goods and materials transportation are finally given, the list of the carried transportation objects of each vehicle and the method of the assembly sequence are given, the reasonable selection of the vehicle types and the maximum use of the vehicle transportation capacity are realized, and the logistics cost is reduced.
In addition, by comparing the material density of the grouped target objects with the standard load density of the vehicle, a more suitable vehicle type is selected, and the budget amount is reduced.
Based on the vehicle resource management method, an embodiment of the present invention further provides a vehicle resource management device, which is specifically described with reference to fig. 4.
Fig. 4 is a schematic structural diagram of a vehicle resource management device according to an embodiment of the present invention.
As shown in fig. 4, the apparatus 40 may include:
an obtaining module 401, configured to obtain material information of a transportation object;
the processing module 402 is used for determining target logistics vehicle information of the transportation object according to the material information;
a generating module 403, configured to generate a material assembly order based on the target logistics vehicle information and the material information, so as to assemble the transportation object onto the target logistics vehicle according to the material assembly order.
The material information in the embodiment of the invention can comprise: material physical property information and material logistics property information.
Wherein the material physical property information comprises at least one of the following: material bar codes, material names, suppliers, belonged bodies, inventory types, belonged items, material batches, packaging quantity, packaging length, packaging width, packaging height, weight and stacking conditions;
the material flow characteristic information comprises at least one of the following: logistics charging mode, transportation classification, pressure bearing condition, packaging condition, safety condition and transportation condition.
In a possible embodiment, the processing module 402 may be specifically configured to, when a plurality of transportation objects are provided, classify the transportation objects according to the material information to obtain at least one category group;
and determining target logistics vehicle information of the category group according to the material physical characteristic information and the material logistics characteristic information of the transportation objects in the category group.
In another possible embodiment, the processing module 402 may be specifically configured to obtain vehicle types of a plurality of currently available logistics vehicles and a vehicle standard load density corresponding to the vehicle types;
calculating the material density of the transportation object according to the material information;
and determining the target logistics vehicle information of the transportation object according to the standard load density and the material density of the vehicle.
Based on this, the processing module 402 may be specifically configured to obtain the vehicle standard maximum load and the vehicle standard maximum capacity according to the vehicle type;
and determining the standard load density of the vehicle according to the ratio of the standard maximum load of the vehicle to the standard maximum capacity of the vehicle. Further, determining the weight of the materials of the transportation object and the volume of the materials of the transportation object according to the material information; and obtaining the material density according to the ratio of the weight of the material to the volume of the material.
The processing module 402 may be specifically configured to, according to the vehicle type, obtain a basic freight rate corresponding to the vehicle type; and determining the target logistics vehicle information of the transportation object according to the standard load density, the material density and the basic freight charge of the vehicle.
Wherein the related target logistics vehicle information comprises at least one of the following items: vehicle type, compartment size, load capacity, cargo capacity, number of vehicles.
In yet another possible embodiment, the processing module 402 may be specifically configured to determine the target logistics vehicle information of the transportation object according to the material information and the basic freight rate of the vehicle.
In addition, the generating module 403 in the embodiment of the present invention may be specifically configured to process the target vehicle information and the material information through the material vehicle assembly model to obtain a plurality of assembly sequences; and determining an assembly sequence of which the priority meets a preset condition in the plurality of assembly sequences as a material assembly sequence, and displaying the material assembly sequence to a user.
In the embodiment of the invention, the goods and materials information of the transport object and the logistics vehicle information of the equipped vehicle are collected, the carrying vehicle of the transport object to be taken out of the warehouse is adapted, the target logistics vehicle information required by the transport object during transportation is finally given, and the goods and materials assembly sequence of each vehicle is given. In this way, due to the variety of material information of each transportation object, the material information and the logistics vehicle information to be determined should be comprehensively calculated and evaluated in detail during calculation. Meanwhile, when the target logistics vehicle is determined, the assembly mode of the transportation object is calculated, and various transportation objects can be subjected to processing such as space reserving, line changing, rotating, blank reserving, crossing, mixed overlapping and laminating, so that the carriage space of the target logistics vehicle is utilized to the maximum extent, and the material assembly sequence of various transportation objects under complex conditions is realized. Thereby, avoid manual intervention, the arrangement goods and materials of rationalization are transferred and are joined in marriage more, and the transport capacity of make full use of vehicle avoids the transport capacity extravagant.
Fig. 5 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present invention.
The terminal device 500 includes but is not limited to: a radio frequency unit 501, a network module 502, an audio output unit 503, an input unit 504, a sensor 505, a display unit 506, a user input unit 507, an interface unit 508, a memory 509, a processor 510, and a power supply 511. Those skilled in the art will appreciate that the terminal device configuration shown in fig. 5 does not constitute a limitation of the terminal device, and that the terminal device may include more or fewer components than shown, or combine certain components, or a different arrangement of components. In the embodiment of the present invention, the terminal device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 501 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink resources from a base station and then processes the received downlink resources to the processor 510; in addition, the uplink resource is transmitted to the base station. In general, radio frequency unit 501 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 501 can also communicate with a network and other devices through a wireless communication system.
The terminal device provides the user with wireless broadband internet access through the network module 502, such as helping the user send and receive e-mails, browse webpages, access streaming media, and the like.
The audio output unit 503 may convert an audio resource received by the radio frequency unit 501 or the network module 502 or stored in the memory 509 into an audio signal and output as sound. Also, the audio output unit 503 may also provide audio output related to a specific function performed by the terminal apparatus 500 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 503 includes a speaker, a buzzer, a receiver, and the like.
The input unit 504 is used to receive an audio or video signal. The input Unit 504 may include a Graphics Processing Unit (GPU) 5041 and a microphone 5042, and the Graphics processor 5041 processes image resources of still pictures or video obtained by an image capture device (e.g., a camera) in a video capture mode or an image capture mode. The processed image frames may be displayed on the display unit 505. The image frames processed by the graphic processor 5041 may be stored in the memory 509 (or other storage medium) or transmitted via the radio frequency unit 501 or the network module 502. The microphone 5042 may receive sound and may be capable of processing such sound into an audio asset. The processed audio resources may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 501 in case of the phone call mode.
The terminal device 500 further comprises at least one sensor 505, such as light sensors, motion sensors and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 5061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 5061 and/or a backlight when the terminal device 500 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the terminal device posture (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration identification related functions (such as pedometer, tapping), and the like; the sensors 505 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 506 is used to display information input by the user or information provided to the user. The display unit 506 may include a display panel 5061, and the display panel 5061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 507 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the terminal device. Specifically, the user input unit 507 includes a touch panel 5071 and other input devices 5072. Touch panel 5071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 5071 using a finger, stylus, or any suitable object or attachment). The touch panel 5071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 510, and receives and executes commands sent by the processor 510. In addition, the touch panel 5071 may be implemented in various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 5071, the user input unit 507 may include other input devices 5072. In particular, other input devices 5072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.
Further, the touch panel 5071 may be overlaid on the display panel 5061, and when the touch panel 5071 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 510 to determine the type of the touch event, and then the processor 510 provides a corresponding visual output on the display panel 5061 according to the type of the touch event. Although in fig. 5, the touch panel 5071 and the display 5061 are two independent components to implement the input and output functions of the terminal device, in some embodiments, the touch panel 5071 and the display 5061 may be integrated to implement the input and output functions of the terminal device, and is not limited herein.
The interface unit 508 is an interface for connecting an external device to the terminal apparatus 500. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless resource port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 508 may be used to receive input (e.g., resource information, power, etc.) from an external device and transmit the received input to one or more elements within the terminal apparatus 500 or may be used to transmit resources between the terminal apparatus 500 and the external device.
The processor 510 is a control center of the terminal device, connects various parts of the whole terminal device by using various interfaces and lines, and performs various functions and processing resources of the terminal device by running or executing software programs and/or modules stored in the memory 509 and calling resources stored in the memory 509, thereby performing overall monitoring of the terminal device. Processor 510 may include one or more processing units; preferably, the processor 510 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 510.
The terminal device 500 may further include a power supply 511 (such as a battery) for supplying power to various components, and preferably, the power supply 511 may be logically connected to the processor 510 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.
In addition, the terminal device 500 includes some functional modules that are not shown, and are not described in detail herein.
Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when the computer program is executed in a computer, causes the computer to perform the steps of the vehicle resource management method of an embodiment of the present invention.
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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (13)
1. A vehicle resource management method, comprising:
acquiring material information of a transportation object;
determining target logistics vehicle information of the transportation object according to the material information;
and generating a material assembly sequence based on the target logistics vehicle information and the material information so as to assemble the transportation object to the target logistics vehicle according to the material assembly sequence.
2. The method of claim 1, wherein the material information comprises material physical characteristic information and material logistics characteristic information;
wherein the material physical property information comprises at least one of: material bar codes, material names, suppliers, belonged bodies, inventory types, belonged items, material batches, packaging quantity, packaging length, packaging width, packaging height, weight and stacking conditions;
the material flow characteristic information comprises at least one of: logistics charging mode, transportation classification, pressure bearing condition, packaging condition, safety condition and transportation condition.
3. The method according to claim 1 or 2, wherein the determining the target logistics vehicle information of the transportation object according to the material information comprises:
when a plurality of transport objects are available, carrying out material classification on the plurality of transport objects according to the material information to obtain at least one class group;
and determining the target logistics vehicle information of the category group according to the material physical characteristic information and the material logistics characteristic information of the transportation objects in the category group.
4. The method of claim 1, wherein the determining the target logistics vehicle information of the transportation object according to the material information comprises:
obtaining vehicle types of a plurality of currently available logistics vehicles and vehicle standard load density corresponding to the vehicle types;
calculating the material density of the transportation object according to the material information;
and determining the target logistics vehicle information of the transportation object according to the standard load density of the vehicle and the material density.
5. The method of claim 4, wherein determining a vehicle standard payload density for the vehicle type comprises:
acquiring the standard maximum load of the vehicle and the standard maximum capacity of the vehicle according to the type of the vehicle;
and determining the standard load density of the vehicle according to the ratio of the standard maximum load of the vehicle to the standard maximum capacity of the vehicle.
6. The method of claim 4 or 5, wherein calculating the material density of the transportation object from the material information comprises:
determining the weight of the materials of the transportation object and the volume of the materials of the transportation object according to the material information;
and obtaining the material density according to the ratio of the weight of the material to the volume of the material.
7. The method of claim 4, wherein the determining the target logistics vehicle information of the transportation object according to the vehicle standard load density and the material density comprises:
acquiring a basic freight corresponding to the vehicle type according to the vehicle type;
and determining the target logistics vehicle information of the transportation object according to the standard load density of the vehicle, the material density and the basic freight charge.
8. The method of claim 4, wherein the target logistics vehicle information comprises at least one of: vehicle type, compartment size, load capacity, cargo capacity, number of vehicles.
9. The method of claim 1, wherein determining target logistics vehicle information of the transportation object according to the material information comprises:
and determining the target logistics vehicle information of the transportation object according to the material information and the basic freight of the vehicle.
10. The method of claim 1, wherein generating a material assembly order based on the target logistics vehicle information and the material information comprises:
processing the target vehicle information and the material information through a material vehicle assembly model to obtain a plurality of assembly sequences;
and determining an assembly sequence of which the priority meets a preset condition in the plurality of assembly sequences as a material assembly sequence, and displaying the material assembly sequence to a user.
11. A vehicle resource management apparatus, characterized by comprising:
the acquisition module is used for acquiring material information of a transportation object;
the processing module is used for determining the target logistics vehicle information of the transportation object according to the material information;
and the generating module is used for generating a material assembling sequence based on the target logistics vehicle information and the material information so as to assemble the transport object to the target logistics vehicle according to the material assembling sequence.
12. A terminal device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the vehicle resource management method of claims 1-10.
13. A computer-readable storage medium, having stored thereon a computer program which, if executed in a computer, causes the computer to execute the vehicle resource management method according to claims 1-10.
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