CN117035610A - Intelligent warehouse-out method, computer and readable storage medium - Google Patents
Intelligent warehouse-out method, computer and readable storage medium Download PDFInfo
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Abstract
The invention relates to the field of logistics and supply chains, in particular to an intelligent warehouse-out method, a computer and a readable storage medium. The invention discloses an intelligent warehouse-out method, a computer and a readable storage medium, wherein the method comprises the following steps: the computer determines the first delivery path according to the warehouse data and all the candidate material data, so that delivery personnel of the warehouse platform can deliver the materials according to the optimal delivery path, the repeated walking distance for delivering the materials is reduced, the loading vehicle can reach the delivery place before the required delivery time, the computer sends the first delivery path and the first candidate material data to the warehouse platform, the materials can be delivered at a more proper time, and the delivery efficiency of the materials is improved.
Description
Technical Field
The invention relates to the field of logistics and supply chains, in particular to an intelligent warehouse-out method, a computer and a readable storage medium.
Background
With the continuous development of logistics supply chain industries such as express delivery, group purchase and the like, the link of warehouse delivery of warehouse materials is more and more important, and the improvement of the warehouse delivery efficiency of the warehouse materials is necessary.
At present, the method for delivering the intelligent warehouse in the related technology mainly relies on preset algorithms and rules, and materials in the warehouse are managed and scheduled through a computer system. When receiving the delivery instruction, the computer system determines delivery materials according to preset rules, and then the computer system guides automation equipment such as AGVs (automated guided vehicles) or warehouse related personnel to extract and transport the materials according to delivery paths.
However, the related art is generally random when determining the delivery path, but the factors such as the length of the path, the alternative condition of the materials and the like are not considered, the placement position of each material in the warehouse is different, and the automatic equipment or the related personnel of the warehouse can generate repeated walking distance in the process, so that time is wasted, and the operation errors of the personnel can be caused, and the delivery efficiency of the materials is reduced.
In addition, since the state of the loading vehicle cannot be known by the automation equipment or the warehouse related personnel, the loading vehicle needs to wait for arrival at the shipment channel, and the process occupies the shipment channel, so that the shipment process of other materials is blocked, and the whole workflow is affected.
Disclosure of Invention
The application provides an intelligent warehouse ex-warehouse method, a computer and a readable storage medium, which are used for determining a first ex-warehouse path according to warehouse data and all candidate material data, so that ex-warehouse personnel of a warehouse platform can ex-warehouse materials according to the optimal ex-warehouse path, the repeated walking distance for ex-warehouse materials is reduced, a loading vehicle can arrive at an ex-warehouse place before the required ex-warehouse time, and the computer sends the first ex-warehouse path and the first candidate material data to the warehouse platform, so that the materials can be ex-warehouse at more proper time, and the efficiency of material ex-warehouse is improved.
In a first aspect, the present application provides an intelligent warehouse-out method, which includes: under the condition that the receiving of a delivery instruction containing a delivery bill sent by information interaction equipment of a user is determined, a computer sends a first acquired data request to a warehouse platform, so that the warehouse platform sends warehouse data and all candidate material data related to the required delivery material to the computer, wherein the delivery bill comprises the required delivery material and the required delivery time; the computer calculates the delivery path of each candidate material data according to the warehouse data and all candidate material data; the computer determines a first delivery path with the shortest delivery path and first alternative material data related to the first delivery path; the computer sends a second data acquisition request to the vehicle dispatching system, so that the vehicle dispatching system sends the real-time position and road condition information of the loading vehicle to the computer; the computer judges whether the loading vehicle can reach the delivery place before the required delivery time according to the real-time position of the loading vehicle and the road condition information; and under the condition that the loading vehicle can reach the delivery site before the required delivery time, the computer sends the first delivery path and the first alternative material data to the warehouse platform, so that the warehouse platform carries out delivery according to the first delivery path and the first alternative material data under the condition that the loading vehicle reaches the delivery site.
By adopting the technical scheme, the computer determines the first delivery path according to the warehouse data and all the candidate material data, so that delivery personnel of the warehouse platform can deliver the materials according to the optimal delivery path, the repeated walking distance for delivering the materials is reduced, the loading vehicle can reach the delivery place before the required delivery time, and the computer sends the first delivery path and the first candidate material data to the warehouse platform, so that the materials can be delivered at more proper time, and the delivery efficiency of the materials is improved.
With reference to some embodiments of the first aspect, in some embodiments, the computer determines a first delivery path with a shortest delivery path and first candidate material data related to the first delivery path, and specifically includes: the computer represents the path to be delivered as a natural number sequence; an evaluation step: the computer carries out fitness evaluation on all the ex-warehouse paths one by one to obtain fitness corresponding to all the ex-warehouse paths one by one; the selection step: the computer randomly selects natural number sequences of two ex-warehouse paths to perform cross operation or mutation operation to generate a new natural number sequence and a new ex-warehouse path corresponding to the new natural number sequence; and the computer repeatedly executes the evaluation step and the selection step until the adaptability obtained in the evaluation step is lower than a preset value, and the delivery path with the lowest adaptability is determined as a first delivery path.
By adopting the technical scheme, the genetic algorithm is used for calculating the ex-warehouse path model, and finally the first ex-warehouse path is obtained, so that the more accurate and more optimized first ex-warehouse path can be obtained.
In combination with some embodiments of the first aspect, in some embodiments, the computer sends the first delivery path and the first candidate material data to the warehouse platform if the loading vehicle can reach the delivery site before the required delivery time, such that the warehouse platform performs delivery according to the first delivery path and the first candidate material data if the loading vehicle reaches the delivery site, the method further comprises: under the condition that the loading vehicle cannot normally arrive, the computer sends a third data acquisition request to the warehouse platform to acquire real-time state information of all warehouses in the warehouse platform, wherein the real-time state information comprises warehouse capacity and warehouse equipment state; determining a warehouse having a warehouse capacity greater than the volume of the first candidate material data as an available warehouse; determining that the warehouse equipment in the available warehouse is normal as an optional warehouse; and if the optional warehouse exists, the computer sends a temporary storage instruction to the warehouse platform, so that the warehouse platform selects the optional warehouse closest to the warehouse platform to carry out warehouse-out according to the first warehouse-out path and the first alternative material data.
By adopting the technical scheme, the system can quickly make adjustment and select the nearest optional warehouse to temporarily store under the condition that the loading vehicle cannot normally arrive, so that the system can select the nearest optional warehouse to temporarily store materials, and the overall response capability of the system is improved.
In combination with some embodiments of the first aspect, in some embodiments, the computer sends the first delivery path and the first candidate material data to the warehouse platform if the loading vehicle can reach the delivery site before the required delivery time, such that the warehouse platform performs delivery according to the first delivery path and the first candidate material data if the loading vehicle reaches the delivery site, the method further comprises: in the absence of an optional warehouse, the computer sends a fourth data acquisition request to the vehicle dispatching system, so that the vehicle dispatching system sends peripheral idle loading vehicle information to the computer, wherein the idle loading vehicle is a loading vehicle not allocated with goods or transport tasks; the computer selects the nearest first idle loading vehicle in the idle loading vehicle information as the loading vehicle; the computer sends a vehicle replacement instruction to the warehouse platform, so that the warehouse platform takes the first idle loading vehicle as a loading vehicle; the computer sends a call instruction to the vehicle dispatch system to cause the vehicle dispatch system to call the first idle loaded vehicle to arrive at a delivery location before the requested delivery time.
By adopting the technical scheme, under the condition that an optional warehouse does not exist, the idle loading vehicle is timely called to carry out material delivery, so that the demand of material delivery can be rapidly met, the resource utilization can be maximized, and the emergency response capability of the system is improved.
In combination with some embodiments of the first aspect, in some embodiments, the computer sends the first delivery path and the first candidate material data to the warehouse platform if the loading vehicle can reach the delivery site before the required delivery time, such that the warehouse platform performs delivery according to the first delivery path and the first candidate material data if the loading vehicle reaches the delivery site, the method further comprises: under the condition that the quantity of the first candidate material data and the weight of the first candidate material data sent by the warehouse platform are determined to be received, determining that the quantity of the first candidate material data and the weight of the first candidate material data do not correspond to the quantity of the required warehouse-out material and the weight of the required warehouse-out material, and judging the first candidate material data as abnormal data; and under the condition that abnormal data are determined to exist, the computer sends a video instruction to the monitoring system, so that the monitoring system automatically calls the video record of the first candidate material data to be delivered out of the database and stores the video record.
By adopting the technical scheme, under the condition that abnormal data is detected, video instructions are sent to the monitoring system, video recordings of relevant time periods can be automatically called and stored, powerful evidence can be provided for tracing and analyzing the generation reasons of the abnormal data, and warehouse management staff is helped to conduct problem investigation and solution, meanwhile, the time and cost of manual intervention and operation are reduced, and the working efficiency is improved.
In combination with some embodiments of the first aspect, in some embodiments, the computer sends the first delivery path and the first candidate material data to the warehouse platform if the loading vehicle can reach the delivery site before the required delivery time, such that the warehouse platform performs delivery according to the first delivery path and the first candidate material data if the loading vehicle reaches the delivery site, the method further comprises: the computer acquires rainfall degree data in the current weather, wherein the rainfall degree data is divided into light rain, medium rain and heavy rain; under the condition that the rainfall degree data is determined to be light rain, the computer sends an instruction for establishing a temporary shipment channel to the warehouse platform, so that the warehouse platform establishes the temporary shipment channel; under the condition that the rainfall degree data is moderate rain, the computer sends an instruction for increasing the number of the shipment channels to the warehouse platform, so that the warehouse platform increases the number of the shipment channels; and under the condition that the rainfall degree data is heavy rain, the computer sends the data to the warehouse platform to stop delivery, so that the warehouse platform stops delivery.
By adopting the technical scheme, corresponding measures are taken to deal with the conditions of different rainfall degrees, the risk of damage or loss of materials under severe weather conditions is reduced, the efficiency of material delivery can be improved by establishing temporary delivery channel instructions and increasing the number of delivery channels, delivery delay caused by weather reasons is reduced, and under the condition of heavy rain, the warehouse platform stops delivery, so that the safety of goods can be protected.
In a second aspect, the embodiment of the application provides an intelligent warehouse ex-warehouse computer, which comprises a data request module, a calculation module, a determination module, a request module, a judgment module and a sending module; the smart warehouse outlet computer is configured to perform a method as described in the first aspect and any possible implementation manner of the first aspect.
The data request module is used for sending a first acquired data request to the warehouse platform under the condition that the receiving of a warehouse-out instruction containing a warehouse-out bill sent by the information interaction equipment of the user is determined, so that the warehouse platform sends warehouse data and all candidate material data related to the materials requiring warehouse-out, and the warehouse-out bill comprises the materials requiring warehouse-out and the time requiring warehouse-out;
The calculation module is used for calculating the delivery path of each candidate material data according to the warehouse data and all candidate material data; the determining module is used for determining a first ex-warehouse path with the shortest ex-warehouse path and first alternative material data related to the first ex-warehouse path;
the request module is used for sending a second data acquisition request to the vehicle dispatching system so that the vehicle dispatching system can send the real-time position and road condition information of the loaded vehicle;
the judging module is used for judging whether the loading vehicle can reach the delivery site before the delivery time is required according to the real-time position of the loading vehicle and the road condition information;
and the sending module is used for sending the first delivery path and the first alternative material data to the warehouse platform under the condition that the loading vehicle can reach the delivery place before the delivery time is required, so that the warehouse platform carries out delivery according to the first delivery path and the first alternative material data under the condition that the loading vehicle reaches the delivery place.
In a third aspect, an embodiment of the present application provides a computer including: one or more processors and memory; the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors call for causing the electronic device to perform the method as described in the first aspect and any possible implementation of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform a method as described in the first aspect and any possible implementation of the first aspect.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. according to the application, the computer determines the first delivery path according to the warehouse data and all the candidate material data, so that delivery personnel of the warehouse platform can deliver the materials according to the optimal delivery path, the repeated walking distance for delivering the materials is reduced, the loading vehicle can reach the delivery place before the required delivery time, and the computer sends the first delivery path and the first candidate material data to the warehouse platform, so that the materials can be delivered at a more proper time, and the delivery efficiency of the materials is improved.
2. According to the application, the ex-warehouse paths are expressed as natural number sequences, the fitness evaluation is carried out on all the ex-warehouse paths one by one to obtain the fitness corresponding to all the ex-warehouse paths one by one, the natural number sequences of the two ex-warehouse paths are randomly selected to carry out the cross operation or the mutation operation to generate a new natural number sequence and a new ex-warehouse path corresponding to the new natural number sequence, and then the evaluation and the selection operation are repeated to finally obtain the first ex-warehouse path, so that the more accurate and more optimized first ex-warehouse path can be obtained.
3. According to the application, the instruction is sent to the warehouse platform to enable the warehouse platform to select the optional warehouse closest to the warehouse platform to temporarily store the materials, so that the retention and delay of the materials are avoided, the system can quickly make adjustment and select the closest optional warehouse to temporarily store under the condition that the vehicle cannot arrive, and the overall response capability of the system is improved.
Drawings
FIG. 1 is a schematic diagram of an interactive scenario for an intelligent warehouse-out computer of the present application.
Fig. 2 is a schematic flow chart of the material delivery in the related art of the present application.
Fig. 3 is a schematic flow chart of an intelligent warehouse-out method in an embodiment of the application.
Fig. 4 is another flow chart of an intelligent warehouse-out method according to an embodiment of the application.
Fig. 5 is a schematic diagram of a scenario of an intelligent warehouse-out method according to an embodiment of the present application.
Fig. 6 is another flow chart of an intelligent warehouse-out method according to an embodiment of the application.
Fig. 7 is a schematic structural diagram of a functional module of an intelligent warehouse-out computer according to an embodiment of the present application.
Fig. 8 is a schematic diagram of a physical device structure of an intelligent warehouse-out computer according to an embodiment of the present application.
Detailed Description
The terminology used in the following embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates to the contrary. It should also be understood that the term "and/or" as used in this disclosure refers to and encompasses any or all possible combinations of one or more of the listed items.
The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature, and in the description of embodiments of the application, unless otherwise indicated, the meaning of "a plurality" is two or more.
Fig. 1 is a schematic diagram of an interaction scenario of an intelligent warehouse-out computer according to the present application. The intelligent warehouse delivery computer comprises a computer and a warehouse platform in communication connection with the computer, wherein the warehouse platform delivers according to instructions sent by the computer, and automatic equipment such as AGVs (automated guided vehicles) or warehouse related personnel generally deliver materials to a loading vehicle to complete delivery.
In addition, the user can send the delivery order and the delivery instruction to the computer, the vehicle dispatching system can send the real-time information and the road condition information of the loading vehicle to the computer, and the computer judges the state of the loading vehicle according to the real-time information and the road condition information of the loading vehicle.
Fig. 2 is a schematic flow chart of the material delivery in the related art of the present application.
S201, submitting a material delivery application and a delivery bill to a warehouse by related departments or personnel;
s202, the warehouse examines and approves the ex-warehouse application, if the approval meets the regulations, the personnel related to the warehouse find out corresponding materials, check the quantity and check the integrity and quality of the materials from the warehouse according to the ex-warehouse list;
s203, conveying the materials to a delivery channel;
s204, waiting for the arrival of the loading vehicle;
and S205, loading cargoes into the vehicles one by one after the loading vehicles arrive.
It can be understood that in the related art, the warehouse related personnel find the corresponding materials according to the delivery bill in the warehouse, the placement position of each material in the warehouse is different, the warehouse related personnel need to find the storage point position of the corresponding material on the delivery bill on the shelf of the warehouse, the repeated walking distance is generated in the process, the repeated walking process wastes time, and the operation error is possibly caused, so that the delivery efficiency of the materials is reduced. In addition, since the state of the loading vehicle cannot be known by the warehouse related personnel, when the warehouse related personnel conveys the corresponding goods and materials of the delivery bill to the delivery channel, the loading vehicle does not arrive yet, and the delivery channel is required to be occupied in the process of waiting for the arrival of the loading vehicle in the delivery channel, so that the delivery process of other goods and materials is blocked, and the whole workflow is influenced.
The foregoing is a scheme of delivering materials in the related art of the present application, and the scheme of the intelligent warehouse delivering method of the present application is described below with reference to fig. 3:
fig. 3 is a schematic flow chart of an intelligent warehouse-out method in an embodiment of the application.
S301, under the condition that a delivery instruction containing a delivery bill sent by information interaction equipment of a user is confirmed to be received, a computer sends a first acquired data request to a warehouse platform, so that the warehouse platform sends warehouse data and all candidate material data related to materials requiring delivery to the computer;
the delivery bill comprises delivery material and delivery time, and the warehouse data comprises the maximum load of each transport of related personnel in the delivery process of the material, the weight of the material in the warehouse and the distance between adjacent shelves on each path in the warehouse.
S302, the computer calculates the delivery path of each candidate material data according to the warehouse data and all candidate material data; in some embodiments, a delivery path of each candidate material data may be calculated according to the warehouse data and all candidate material data, four kinds of goods in the delivery list need to be picked from the warehouse, and the four kinds of goods are distributed on four storage positions in the warehouse, and then a warehouse entrance and exit may be represented by 0, and 4 natural numbers from 1 to 4 represent one storage position in turn respectively, where one kind of delivery path of the materials is: 0-1-4-2-3-0.
S303, the computer determines a first ex-warehouse path with the shortest ex-warehouse path and first alternative material data related to the first ex-warehouse path;
in some embodiments, the method includes the steps of firstly, representing the ex-warehouse paths as natural number sequences by a computer, evaluating the fitness of all the ex-warehouse paths one by one to obtain fitness corresponding to all the ex-warehouse paths one by one, randomly selecting the natural number sequences of the two ex-warehouse paths by the computer to perform cross operation or mutation operation to generate a new natural number sequence and a new ex-warehouse path corresponding to the new natural number sequence, repeatedly executing the evaluating step and the selecting step by the computer until the fitness obtained by the evaluating step is lower than a preset value, determining the ex-warehouse path with the lowest fitness as a first ex-warehouse path, and finally determining first alternative material data related to the first ex-warehouse path by the computer according to the first ex-warehouse path, so that the first alternative material data are subjected to ex-warehouse according to the sequence of the first ex-warehouse path.
S304, the computer sends a second data acquisition request to the vehicle dispatching system, so that the vehicle dispatching system sends the real-time position and road condition information of the loading vehicle to the computer;
in some embodiments, the real-time position of the loading vehicle is the current geographical position information of the loading vehicle, which is obtained by a vehicle dispatching system through a Global Positioning System (GPS) and other technologies, and the road condition information refers to traffic conditions and road condition conditions on the relevant road, and is generally from a traffic management department, and specifically includes the historical driving speed data, traffic flow, and other conditions of the relevant road section.
S305, the computer judges whether the loading vehicle can reach the delivery site before the delivery time is required according to the real-time position of the loading vehicle and the road condition information;
the computer calculates the distance between the real-time position of the loading vehicle and the position of the current shipment channel according to the longitude and latitude coordinates between the real-time position of the loading vehicle and the position of the current shipment channel by acquiring the real-time position of the loading vehicle and the position of the current shipment channel.
According to road condition information, historical driving speed data including driving speeds under the same road section, similar time and similar traffic conditions are firstly subjected to data cleaning, abnormal value removal, missing value processing and the like,
dividing the data according to time periods and road sections, and averaging historical running speed data of the same time period and the same road section to obtain the predicted running speeds of the same road section, similar time and similar traffic conditions of the loading vehicle in each time period.
And obtaining the predicted running time of the loading vehicle according to the calculated distance between the real-time position of the loading vehicle and the position of the current shipment channel and the predicted running speed obtained by analysis, and judging whether the loading vehicle can reach the shipment place before the required shipment time according to the predicted running time of the loading vehicle.
In some embodiments, 10 road segments remain between the loading vehicle and the location of the delivery channel, the predicted running speed of the current time segment of each road segment is obtained, the time spent for the loading vehicle to travel the 10 road segments is calculated, and the predicted arrival time of the loading vehicle is obtained according to the current time, so as to judge whether the loading vehicle can arrive at the delivery site before the delivery time is required.
And S306, under the condition that the loading vehicle can reach the delivery place before the delivery time is required, the computer sends the first delivery path and the first candidate material data to the warehouse platform, so that the warehouse platform carries out delivery according to the first delivery path and the first candidate material data under the condition that the loading vehicle reaches the delivery place.
In the above embodiment, the computer determines the first delivery path according to the warehouse data and all the candidate material data, so that the delivery personnel of the warehouse platform can deliver the material according to the optimal delivery path, the repeated walking distance for delivering the material is reduced, the computer sends the first delivery path and the first candidate material data to the warehouse platform when the loading vehicle arrives at the delivery place before the required delivery time, the material can be delivered at a more proper time, and the material delivery efficiency is improved.
The above is that the computer determines the first delivery path according to the warehouse data and all the candidate material data, and determines whether the loading vehicle can reach the delivery site before the delivery time is required to send the delivery instruction to the warehouse platform, and the scheme of determining the first delivery path according to the present application is described below with reference to fig. 4:
fig. 4 is a schematic flow chart of an intelligent warehouse-out method according to an embodiment of the application.
S401, the computer represents all the ex-warehouse paths as natural number sequences;
in some embodiments, four kinds of goods in the delivery bill need to be picked from the warehouse, and the four kinds of goods are distributed on four storage locations in the warehouse, and then 0 can be used for representing the warehouse entrance and exit, and 4 natural numbers from 1 to 4 respectively represent one storage location in turn, wherein one kind of goods delivery path is as follows: and the natural number sequence corresponding to the delivery path is { 01 4 2 3 0}, wherein the natural number sequence is from an entrance 0-storage site 1-storage site 4-storage site 2-storage site 3-entrance 0.
S402, evaluation: the computer carries out fitness evaluation on all the ex-warehouse paths one by one to obtain fitness corresponding to all the ex-warehouse paths one by one;
in some embodiments, the fitness of all outgoing paths is calculated using a fitness function:
Fit(x)＝r/X
And r is a preset coefficient, X is the distance of the corresponding ex-warehouse path, the fitness function is used for carrying out fitness calculation on all the ex-warehouse paths one by one, and the smaller the fitness is, the shorter the total walking distance of the current ex-warehouse path is, and the closer the total walking distance of the current ex-warehouse path is to the first ex-warehouse path.
S403, selecting: the computer randomly selects natural number sequences of the two ex-warehouse paths to perform cross operation or mutation operation to generate a new natural number sequence and a new ex-warehouse path corresponding to the new natural number sequence;
the crossing operation is to select natural number sequence fragments corresponding to two delivery paths to combine to form a group of new natural number sequences, wherein the natural number sequences correspond to the new delivery paths and simulate a crossing genetic mechanism of the biological world. The mutation operation is to randomly change part of sequences in a natural number sequence corresponding to a delivery path to obtain a group of new natural number sequences, wherein the natural number sequences correspond to the new delivery path and simulate the gene mutation of the biological kingdom.
S404, the computer repeatedly executes the evaluation step and the selection step until the adaptability obtained in the evaluation step is lower than a preset value, and the delivery path with the lowest adaptability is determined as the first delivery path.
In the above embodiment, the outbound paths are represented as natural number sequences, the fitness evaluation is performed on all the outbound paths one by one to obtain fitness corresponding to all the outbound paths one by one, the natural number sequences of the two outbound paths are randomly selected to perform the crossover operation or the mutation operation to generate a new natural number sequence and a new outbound path corresponding to the new natural number sequence, and then the evaluation and selection operation is repeated to finally obtain the first outbound path, so that the more accurate and more optimized first outbound path can be obtained.
To facilitate understanding of the steps in the above embodiments, a description will be given next of a first delivery path obtained by inputting warehouse data and alternative material data into a delivery path model by a computer, in conjunction with fig. 5:
fig. 5 is a schematic diagram of a scenario of an intelligent warehouse-out method according to an embodiment of the present application.
In some embodiments, the warehouse is composed of 4 equal-length roadways, the shelves on two sides of the roadway are used for storing various materials to be picked, each small square represents a material storage position, the upper array { x-y-z } on the small square represents a corresponding storage position mark, the upper end and the lower end of the roadway are respectively provided with a passageway, warehouse personnel can pick up goods from two sides when facing the roadway, and materials 1-6 represent alternative materials to be taken out of the warehouse.
The computer inputs warehouse data and all candidate material data into a warehouse-out path model to obtain a first warehouse-out path, in the warehouse-out path model, the meaning of min is minimum, an objective function represents the minimum total travel distance of the warehouse-out path, the aim of the model is to minimize the total travel distance of the warehouse-out path which is passed by each warehouse-out through selecting a proper warehouse-out path, the meaning of s.t. is a constraint condition,for constraint 1, constraint 1 means to ensure that each material is picked and only once; / >For constraint 2, constraint 2 means that the total weight of materials transported each time is ensured not to exceed the maximum load; x is x ij ≤x i(j+1) ,/> For constraint 3, constraint 3 means to ensure that the materials are picked up in order of storage during each transportation, ensuring that each material can be picked up.
Fig. 6 is a schematic flow chart of an intelligent warehouse-out method according to an embodiment of the application.
S601, under the condition that a delivery instruction containing a delivery bill sent by information interaction equipment of a user is confirmed to be received, a computer sends a first acquired data request to a warehouse platform, so that the warehouse platform sends warehouse data and all candidate material data related to materials requiring delivery to the computer;
s602, calculating a delivery path of each piece of alternative material data by a computer according to the warehouse data and all pieces of alternative material data;
s603, the computer determines a first ex-warehouse path with the shortest ex-warehouse path and first alternative material data related to the first ex-warehouse path; s604, the computer sends a second data acquisition request to the vehicle dispatching system, so that the vehicle dispatching system sends the real-time position and road condition information of the loading vehicle to the computer;
s605, the computer judges whether the loading vehicle can reach the delivery site before the delivery time is required according to the real-time position of the loading vehicle and the road condition information;
S606, the computer sends the first ex-warehouse path and the first alternative material data to the warehouse platform, so that the warehouse platform performs ex-warehouse according to the first ex-warehouse path and the first alternative material data under the condition that the loading vehicle arrives at an ex-warehouse place;
steps S601 to S606 are similar to steps S301 to S306 in the embodiment shown in fig. 3, and reference may be made to the descriptions in S301 to S306, and the description thereof will not be repeated here.
S607, the computer sends a third data acquisition request to the warehouse platform to acquire the real-time state information of all warehouses in the warehouse platform;
when the loading vehicle cannot reach the ex-warehouse place before the ex-warehouse time is required, the computer acquires real-time state information of all warehouses in the warehouse platform through the warehouse platform, wherein the real-time state information comprises warehouse capacity and warehouse equipment state.
S608, determining that the warehouse with the warehouse capacity larger than the volume of the first candidate material data is an available warehouse; determining that the warehouse equipment state in the available warehouses is normal as an optional warehouse;
s609, judging whether an optional warehouse exists;
s610, the computer sends a temporary storage instruction to the warehouse platform, so that the warehouse platform selects an optional warehouse closest to the warehouse platform to carry out warehouse-out according to the first warehouse-out path and the first alternative material data;
If the optional warehouse exists, the computer sends a temporary storage instruction to the warehouse platform, the warehouse platform selects the optional warehouse closest to the optional warehouse to temporarily store the materials, and then the materials are delivered according to the first delivery path and the first alternative material data in corresponding time according to the arrival time of the loading vehicle.
S611, the computer sends a fourth data acquisition request to the vehicle dispatching system, so that the vehicle dispatching system sends peripheral idle loading vehicle information to the computer;
if the optional warehouse does not exist, the computer acquires surrounding idle loading vehicle information through the vehicle dispatching system, wherein the idle loading vehicle is a loading vehicle which is not allocated with goods or transportation tasks.
S612, the computer selects the nearest first idle loading vehicle in the idle loading vehicle information as the loading vehicle;
s613, the computer sends a vehicle replacement instruction to the warehouse platform, so that the warehouse platform takes the first idle loading vehicle as a loading vehicle; s614, the computer sends a calling instruction to the vehicle dispatching system, so that the vehicle dispatching system calls the first idle loading vehicle to arrive at the delivery site before the delivery time is required.
Under the condition that the quantity of the first candidate material data and the weight of the first candidate material data sent by the warehouse platform are determined to be received, determining that the quantity of the first candidate material data and the weight of the first candidate material data do not correspond to the quantity of the required warehouse-out material and the weight of the required warehouse-out material, and judging the first candidate material data as abnormal data; under the condition that abnormal data are determined to exist, the computer sends a video instruction to the monitoring system, so that the monitoring system automatically calls video recordings of the first alternative material data to be delivered out of the database and stores the video recordings; when the quantity of the first candidate material data and the weight of the first candidate material data are determined to correspond to the quantity of the materials required to be delivered and the weight of the materials required to be delivered, namely abnormal data are eliminated, the computer sends a deleting instruction to the monitoring system, so that the monitoring system automatically deletes the video records of the materials required to be delivered.
Under the condition that abnormal data are detected, a video instruction is sent to a monitoring system, video recordings of relevant time periods can be automatically called and stored, powerful evidence can be provided for tracing and analyzing the generation reasons of the abnormal data, and warehouse management staff is helped to conduct problem investigation and solution, meanwhile, the time and cost of manual intervention and operation are reduced, and the working efficiency is improved; when the abnormal data is eliminated, the monitoring system automatically deletes the video record of the first alternative material data to be delivered, so that the use of the storage space can be reduced, and the storage resource can be saved.
The computer acquires rainfall degree data in the current weather, wherein the rainfall degree data is divided into light rain, medium rain and heavy rain; under the condition that the rainfall degree data is determined to be light rain, the computer sends an instruction for establishing a temporary shipment channel to the warehouse platform, so that the warehouse platform establishes the temporary shipment channel; under the condition that the rainfall degree data is moderate rain, the computer sends an instruction for increasing the number of the shipment channels to the warehouse platform, so that the warehouse platform increases the number of the shipment channels; and under the condition that the rainfall degree data is heavy rain, the computer sends the data to the warehouse platform to stop delivery, so that the warehouse platform stops delivery.
Under different rainfall levels, corresponding measures are taken to deal with, the risk of damage or loss of goods and materials under severe weather conditions is reduced, the efficiency of goods and materials delivery can be improved by establishing temporary delivery channel instructions and increasing the number of delivery channels, delivery delay caused by weather reasons is reduced, and under heavy rain conditions, the warehouse platform stops delivery, so that the safety of goods can be protected.
The following describes a computer in an embodiment of the present application from a module point of view:
fig. 7 is a schematic structural diagram of a functional module of an intelligent warehouse-out computer according to an embodiment of the present application.
The computer includes:
a data request module 701, configured to send a first data acquisition request to a warehouse platform under the condition that it is determined that a delivery instruction including a delivery order sent by an information interaction device of a user is received, so that the warehouse platform sends warehouse data and all candidate material data related to a material requiring delivery, and the delivery order includes a material requiring delivery and a time requiring delivery;
a calculation module 702, configured to calculate a delivery path of each candidate material data according to the warehouse data and all candidate material data; a determining module 703, configured to determine a first delivery path with a shortest delivery path and first candidate material data related to the first delivery path;
A request module 704, configured to send a second data acquisition request to the vehicle dispatching system, so that the vehicle dispatching system sends the real-time position and road condition information of the loaded vehicle;
the judging module 705 is configured to judge whether the loading vehicle can reach the delivery site before the delivery time is required according to the real-time position of the loading vehicle and the road condition information;
and the sending module 706 is configured to send the first delivery path and the first candidate material data to the warehouse platform when the loading vehicle can reach the delivery site before the delivery time is required, so that the warehouse platform performs delivery according to the first delivery path and the first candidate material data when the loading vehicle reaches the delivery site.
The system in the embodiment of the present application is described above from the point of view of the modularized functional entity, and the system in the embodiment of the present application is described below from the point of view of hardware processing, please refer to fig. 8, which is a schematic diagram of the physical device structure of a computer provided in the embodiment of the present application.
It should be noted that the structure of the computer shown in fig. 8 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 8, the computer includes a central processing unit (Central Processing Unit, CPU) 801 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 802 or a program loaded from a storage section 808 into a random access Memory (Random Access Memory, RAM) 803. In the RAM 803, various programs and data required for computer operations are also stored. The CPU 801, ROM802, and RAM 803 are connected to each other by a bus 804. An Input/Output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a camera, an infrared sensor, and the like; an output section 807 including a liquid crystal display (Liquid Crystal Display, LCD), a speaker, and the like; a storage section 808 including a hard disk or the like; and a communication section 809 including a network interface card such as a LAN (Local Area Network ) card, modem, or the like. The communication section 809 performs communication processing via a network such as the internet. The drive 810 is also connected to the I/O interface 805 as needed. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as needed so that a computer program read out therefrom is mounted into the storage section 808 as needed.
In particular, according to embodiments of the present invention, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 809, and/or installed from the removable media 811. When the computer program is executed by a Central Processing Unit (CPU) 801, various functions defined in the present invention are performed.
It should be noted that, the computer readable medium shown in the embodiments of the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Specifically, the system of the present embodiment includes a processor and a memory, where the memory stores a computer program, and when the computer program is executed by the processor, the method for measuring spectral information provided in the foregoing embodiment is implemented.
As another aspect, the present application also provides a computer-readable storage medium, which may be included in the system described in the above embodiment; or may exist alone without being assembled into the system. The storage medium carries one or more computer programs which, when executed by a processor of the system, cause the system to implement the methods provided in the embodiments described above.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.
As used in the above embodiments, the term "when …" may be interpreted to mean "if …" or "after …" or "in response to determination …" or "in response to detection …" depending on the context. Similarly, the phrase "at the time of determination …" or "if detected (a stated condition or event)" may be interpreted to mean "if determined …" or "in response to determination …" or "at the time of detection (a stated condition or event)" or "in response to detection (a stated condition or event)" depending on the context.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), etc.
Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: ROM or random access memory RAM, magnetic or optical disk, etc.
Claims (10)
1. An intelligent warehouse-out method is characterized by comprising the following steps:
under the condition that a delivery instruction containing a delivery order sent by information interaction equipment of a user is received, a computer sends a first acquired data request to a warehouse platform, so that the warehouse platform sends warehouse data and all candidate material data related to a required delivery material to the computer, wherein the delivery order comprises the required delivery material and required delivery time;
the computer calculates the delivery path of each candidate material data according to the warehouse data and all candidate material data;
the computer determines a first ex-warehouse path with the shortest ex-warehouse path and first alternative material data related to the first ex-warehouse path;
The computer sends a second data acquisition request to the vehicle dispatching system, so that the vehicle dispatching system sends the real-time position and road condition information of the loaded vehicle to the computer;
the computer judges whether the loading vehicle can reach a delivery place before the required delivery time according to the real-time position of the loading vehicle and the road condition information;
and under the condition that the loading vehicle can reach the delivery place before the required delivery time, the computer sends the first delivery path and the first alternative material data to the warehouse platform, so that the warehouse platform carries out delivery according to the first delivery path and the first alternative material data under the condition that the loading vehicle reaches the delivery place.
2. The method according to claim 1, wherein the computer determines a first delivery path with a shortest delivery path and first candidate material data associated with the first delivery path, comprising:
the computer representing all of the outbound paths as a natural number sequence;
an evaluation step: the computer carries out fitness evaluation on all the ex-warehouse paths one by one to obtain fitness corresponding to all the ex-warehouse paths one by one;
The selection step: the computer randomly selects natural number sequences of the two ex-warehouse paths to perform cross operation or mutation operation to generate a new natural number sequence and a new ex-warehouse path corresponding to the new natural number sequence;
and the computer repeatedly executes the evaluation step and the selection step until the adaptability obtained in the evaluation step is lower than a preset value, and the delivery path with the lowest adaptability is determined as the first delivery path.
3. The method according to claim 1, wherein the computer determines a first delivery path with a shortest delivery path and first candidate material data associated with the first delivery path, comprising:
the computer inputs the warehouse data and all the candidate material data into the ex-warehouse path model to obtain the first ex-warehouse path;
the ex-warehouse path model is as follows:
in the formula, S is an objective function and represents the total distance of the delivery path, y represents how many times the delivery process needs to be carried out, m represents the total number of cargoes in the warehouse data, W represents the maximum load of each delivery in the warehouse data, and W j Representing the weight, x, of the jth item in the warehouse data ij For decision variables, pick-up, x, if the j-th cargo in the i-th transportation belongs to all candidate material data ij 1, if the j-th goods in the i-th transportation do not belong to all the candidate material data, not picking up, x ij Is 0, d ij Representing the distance between adjacent shelves on the ith path in the warehouse data.
4. The method of claim 1, wherein the computer sends the first delivery path and the first alternative material data to the warehouse platform if the loading vehicle can reach a delivery location before the required delivery time, such that the warehouse platform performs delivery according to the first delivery path and the first alternative material data if the loading vehicle reaches the delivery location, the method further comprising:
under the condition that the loading vehicle cannot normally arrive, the computer sends a third data acquisition request to the warehouse platform to acquire real-time state information of all warehouses in the warehouse platform, wherein the real-time state information comprises warehouse capacity and warehouse equipment state; determining a warehouse with warehouse capacity greater than the volume of the first candidate material data as an available warehouse;
Determining that the warehouse equipment state in the available warehouses is normal as an optional warehouse;
and under the condition that the optional warehouse exists, the computer sends a temporary storage instruction to a warehouse platform, so that the warehouse platform selects the optional warehouse closest to the warehouse platform to carry out warehouse-out according to the first warehouse-out path and the first candidate material data.
5. The method of claim 4, wherein the computer sends a temporary deposit instruction to a warehouse platform in the presence of the alternative warehouse, such that after the warehouse platform selects the alternative warehouse closest to the warehouse platform to be shipped according to the first shipment path and the first alternative material data, the method further comprises:
in the absence of the optional warehouse, the computer sends a fourth data acquisition request to a vehicle dispatching system, so that the vehicle dispatching system sends peripheral idle loading vehicle information to the computer, wherein the idle loading vehicle is the loading vehicle which is not allocated with goods or transport tasks;
the computer selects the nearest first idle loading vehicle in the idle loading vehicle information as the loading vehicle;
The computer sends a vehicle replacement instruction to the warehouse platform, so that the warehouse platform takes the first idle loading vehicle as a loading vehicle;
the computer sends a call instruction to the vehicle dispatch system to cause the vehicle dispatch system to call the first idle loaded vehicle to arrive at a delivery location before the requested delivery time.
6. The method of claim 1, wherein the computer sends the first delivery path and the first alternative material data to the warehouse platform if the loading vehicle can reach a delivery location before the required delivery time, such that the warehouse platform performs delivery according to the first delivery path and the first alternative material data if the loading vehicle reaches the delivery location, the method further comprising:
under the condition that the quantity of the first candidate material data and the weight of the first candidate material data sent by the warehouse platform are received, determining that the quantity of the first candidate material data and the weight of the first candidate material data do not correspond to the quantity of the required warehouse-out material and the weight of the required warehouse-out material, and judging the first candidate material data as abnormal data;
And under the condition that the abnormal data are determined to exist, the computer sends a video instruction to a monitoring system, so that the monitoring system automatically calls and stores video recordings of the first alternative material data.
7. The method of claim 1, wherein the computer sends the first delivery path and the first alternative material data to the warehouse platform if the loading vehicle can reach a delivery location before the required delivery time, such that the warehouse platform performs delivery according to the first delivery path and the first alternative material data if the loading vehicle reaches the delivery location, the method further comprising:
the computer acquires rainfall degree data in the current weather, wherein the rainfall degree data is divided into light rain, medium rain and heavy rain;
under the condition that the rainfall degree data is determined to be light rain, the computer sends an instruction for establishing a temporary shipment channel to the warehouse platform, so that the warehouse platform establishes the temporary shipment channel;
under the condition that the rainfall degree data is moderate rain, the computer sends an instruction for increasing the number of the shipment channels to the warehouse platform, so that the warehouse platform increases the number of the shipment channels;
And under the condition that the rainfall degree data is heavy rain, the computer sends the data to the warehouse platform to stop shipment, so that the warehouse platform stops shipment.
8. An intelligent warehouse out computer, characterized in that the computer comprises:
the data request module is used for sending a first acquired data request to the warehouse platform under the condition that the receiving of a delivery instruction containing a delivery bill sent by the information interaction equipment of the user is determined, so that the warehouse platform sends warehouse data and all candidate material data related to the required delivery material, and the delivery bill comprises the required delivery material and the required delivery time;
the calculation module is used for calculating the delivery path of each candidate material data according to the warehouse data and all candidate material data; the determining module is used for determining a first ex-warehouse path with the shortest ex-warehouse path and first alternative material data related to the first ex-warehouse path;
the request module is used for sending a second data acquisition request to the vehicle dispatching system so that the vehicle dispatching system can send the real-time position and road condition information of the loaded vehicle;
the judging module is used for judging whether the loading vehicle can reach a delivery place before the required delivery time according to the real-time position of the loading vehicle and the road condition information;
And the sending module is used for sending the first delivery path and the first alternative material data to the warehouse platform under the condition that the loading vehicle can reach the delivery place before the required delivery time, so that the warehouse platform carries out delivery according to the first delivery path and the first alternative material data under the condition that the loading vehicle reaches the delivery place.
9. An intelligent warehouse out computer, which is characterized by comprising: one or more processors and memory;
the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors invoke to cause the smart warehouse outlet computer to perform the method of any of claims 1-7.
10. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any of claims 1-7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118246673A (en) * | 2024-03-25 | 2024-06-25 | 深圳市赛诺梵科技有限公司 | A blood product supply control method, device, equipment and storage medium |
| CN118246861A (en) * | 2024-05-27 | 2024-06-25 | 国网山东省电力公司莱芜供电公司 | A method and system for managing the entry and exit of electric power equipment based on face recognition |
| CN118246861B (en) * | 2024-05-27 | 2025-04-18 | 国网山东省电力公司莱芜供电公司 | A method and system for managing the entry and exit of electric power equipment based on face recognition |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118246673A (en) * | 2024-03-25 | 2024-06-25 | 深圳市赛诺梵科技有限公司 | A blood product supply control method, device, equipment and storage medium |
| CN118246861A (en) * | 2024-05-27 | 2024-06-25 | 国网山东省电力公司莱芜供电公司 | A method and system for managing the entry and exit of electric power equipment based on face recognition |
| CN118246861B (en) * | 2024-05-27 | 2025-04-18 | 国网山东省电力公司莱芜供电公司 | A method and system for managing the entry and exit of electric power equipment based on face recognition |
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