CN116894549A - Scheduling method and device for shared charger baby and electronic equipment - Google Patents
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Abstract
The application relates to a scheduling method and device for a shared charger, and electronic equipment, wherein the scheduling method for the shared charger comprises the following steps: the real-time demand of the shared charger baby in the area to be scheduled is predicted; counting the real-time effective quantity of shared charging treasures in an area to be scheduled, wherein the real-time effective quantity is the quantity which meets the use requirement in the shared charging treasures in a bin and is determined according to the set condition; and scheduling the in-bin shared charger baby according to the real-time demand of the shared charger baby in the area to be scheduled and the real-time effective quantity of the in-bin shared charger baby in the area to be scheduled. The method and the device solve the problem that the shared charger baby cannot be timely and accurately scheduled in the related art, realize effective and accurate scheduling of the shared charger baby, and improve the circulation rate of the shared charger baby.
Description
Technical Field
The application relates to the technical field of shared charging treasures, in particular to a scheduling method and device of shared charging treasures and electronic equipment.
Background
With the advent of the information age, electronic products such as mobile phones and tablet computers have become an indispensible communication and information processing tool for people. People have a deeper and deeper degree of dependence on mobile phones and tablet computers. This requires the batteries of these electronic products to have a long endurance to meet the use demands of users, and thus sharing the charger baby has been generated.
In the prior art, borrowing and returning of the shared charger can be realized by code scanning, and the borrowed shared charger is movable, namely, can be returned in the place B by borrowing in the place A, but the problem that other users cannot return the shared charger in the place B due to the fact that the storage ports of the shared charger are fully filled in the returning shared leasing equipment exists in the sharing mode in the prior art. And sharing treasured that charges is in the use, and the unavoidable loss that exists, and the treasured that charges that this moment system can not real-time identification bad damage leads to the store to effectively share treasured's real-time data inaccuracy that charges, and the producer can't be according to market demand real-time scheduling treasured that charges, and the effect is experienced in the market.
The effective quantity of the shared charger baby in each area, which actually meets the use requirement, is not considered in the prior art, so that the shared charger baby cannot be effectively and accurately scheduled in time, and the circulation rate of the shared charger baby is improved.
Aiming at the problem that the shared charger baby cannot be timely and accurately scheduled in the related technology, no effective solution is proposed at present.
Disclosure of Invention
The embodiment provides a scheduling method, a scheduling device, electronic equipment and a storage medium for sharing a charge pal, so as to solve the problem that the sharing the charge pal cannot be scheduled timely and accurately in the related technology.
In a first aspect, in this embodiment, there is provided a scheduling method of a shared charger, where the method includes: predicting the real-time demand of the shared charger baby in the area to be scheduled; counting the real-time effective quantity of the shared charging treasures in the area to be scheduled, wherein the real-time effective quantity is the quantity which is determined according to set conditions and meets the use requirement in the shared charging treasures in the warehouse; and dispatching the in-bin shared charger baby according to the real-time demand of the shared charger baby in the to-be-dispatched area and the real-time effective quantity of the in-bin shared charger baby in the to-be-dispatched area.
In some of these embodiments, the predicting the real-time demand of the shared treasured of the area to be scheduled comprises: acquiring order data of the shared charger baby, wherein the order data is used for displaying order information of the shared charger baby; acquiring video data of the area to be scheduled, and determining the passenger flow volume of the area to be scheduled according to the video data of the area to be scheduled; and predicting the real-time demand of the shared charger baby in the area to be scheduled according to the order data of the shared charger baby and the passenger flow volume of the area to be scheduled.
In some of these embodiments, said counting the real-time effective number of shared treasures of the area to be scheduled comprises: counting the in-house real-time data of the in-house shared charging treasures, wherein the in-house real-time data are used for displaying in-house state information of the shared payment treasures; performing performance test on the in-house shared charger baby to obtain performance data of the in-house shared charger baby, wherein the performance data are used for displaying performance information of the shared charger baby; and determining the real-time effective quantity of the shared charging treasures in the area to be scheduled according to the performance data of the in-bin shared charging treasures and the in-bin real-time data of the in-bin shared charging treasures.
In some embodiments thereof, the in-bin real-time data includes bin disabled state data, bin treasured state data, treasured charge code read data, bin charge data, and bin short order data.
In some embodiments, the performing the performance test on the in-bin shared charger baby, and obtaining the performance data of the in-bin shared charger baby includes: performing energy storage capability test on the in-bin shared charger baby to obtain energy storage performance data of the in-bin shared charger baby; performing charging capability test on the in-house shared charger baby to obtain charging performance data of the in-house shared charger baby; and carrying out service life test on the in-bin shared charger baby to obtain service life performance data of the in-bin shared charger baby.
In some embodiments, the obtaining order data of the shared charger, the order data for displaying order information of the shared charger includes: acquiring a user order of the area to be scheduled; determining the shared charger baby demand data information of the area to be scheduled according to the user order; the shared treasured data information that charges includes treasured service time information and treasured data line use information charges.
In some of these embodiments, the scheduling the in-bin shared treasures according to the shared treasures demand of the to-be-scheduled area and the effective number of in-bin shared treasures of the to-be-scheduled area includes: determining the scheduling requirement of the area to be scheduled according to the charging bank demand of the area to be scheduled, the effective quantity of the in-bin shared charging banks of the area to be scheduled and the distance between the areas to be scheduled; the scheduling requirement comprises the quantity of adjustable charging treasures or the quantity of adjustable discharging treasures.
In a second aspect, in this embodiment, there is provided a scheduling apparatus for sharing a charger baby, the scheduling apparatus including:
the prediction module is used for predicting the real-time demand of the shared charger baby in the area to be scheduled;
the statistics module is used for counting the real-time effective quantity of the shared charging treasures in the area to be scheduled, wherein the real-time effective quantity is the quantity which is determined according to the set conditions and meets the use requirement in the shared charging treasures in the warehouse;
and the scheduling module is used for scheduling the in-bin shared charging treasures according to the real-time demand of the shared charging treasures of the to-be-scheduled area and the real-time effective quantity of the in-bin shared charging treasures of the to-be-scheduled area.
In a third aspect, in this embodiment, there is provided an electronic device including: a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor implementing the shared treasured scheduling method according to the first aspect described above when executing the computer program.
In a fourth aspect, in this embodiment, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the shared charger baby scheduling method described in the first aspect.
Compared with the related art, the scheduling method, the scheduling device, the electronic equipment and the storage medium for the shared charger baby provided in the embodiment predict the real-time demand of the shared charger baby in the area to be scheduled; counting the real-time effective quantity of shared charging treasures in an area to be scheduled, wherein the real-time effective quantity is the quantity which meets the use requirement in the shared charging treasures in a bin and is determined according to the set condition; according to the real-time demand of the shared charging treasures in the area to be scheduled and the real-time effective quantity of the shared charging treasures in the area to be scheduled, the shared charging treasures in the area are scheduled, the problem that the shared charging treasures cannot be scheduled timely and accurately in the related art is solved, the efficient and accurate scheduling of the shared charging trees is realized, and the circulation rate of the shared charging treasures is improved.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the other features, objects, and advantages of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a block diagram of the hardware configuration of a terminal that performs a scheduling method of a shared charger baby of the present embodiment.
Fig. 2 is a flowchart of a scheduling method of the shared charger baby of the present embodiment.
Fig. 3 is a flowchart of a scheduling method of the shared charger baby according to the preferred embodiment.
Fig. 4 is a schematic diagram of scheduling simulation of the number of shared chargers according to the preferred embodiment.
Fig. 5 is a block diagram showing a configuration of a scheduling apparatus for sharing a charger baby according to the present embodiment.
Detailed Description
The present application will be described and illustrated with reference to the accompanying drawings and examples for a clearer understanding of the objects, technical solutions and advantages of the present application.
Unless defined otherwise, technical or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terms "a," "an," "the," "these" and similar terms in this application are not intended to be limiting in number, but may be singular or plural. The terms "comprising," "including," "having," and any variations thereof, as used herein, are intended to encompass non-exclusive inclusion; for example, a process, method, and system, article, or apparatus that comprises a list of steps or modules (units) is not limited to the list of steps or modules (units), but may include other steps or modules (units) not listed or inherent to such process, method, article, or apparatus. The terms "connected," "coupled," and the like in this disclosure are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as used herein means two or more. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., "a and/or B" may mean: a exists alone, A and B exist together, and B exists alone. Typically, the character "/" indicates that the associated object is an "or" relationship. The terms "first," "second," "third," and the like, as referred to in this disclosure, merely distinguish similar objects and do not represent a particular ordering for objects.
The method embodiments provided in the present embodiment may be executed in a terminal, a computer, or similar computing device. For example, the method runs on a terminal, and fig. 1 is a block diagram of a hardware structure of the terminal for executing a scheduling method of a shared charger baby according to the present embodiment. As shown in fig. 1, the terminal may include one or more (only one is shown in fig. 1) processors 102 and a memory 104 for storing data, wherein the processors 102 may include, but are not limited to, a microprocessor MCU, a programmable logic device FPGA, or the like. The terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and is not intended to limit the structure of the terminal. For example, the terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a scheduling method of a shared charger in the present embodiment, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, to implement the above-described method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used to receive or transmit data via a network. The network includes a wireless network provided by a communication provider of the terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is configured to communicate with the internet wirelessly.
In this embodiment, a method for scheduling shared charging treasures is provided, fig. 2 is a flowchart of a method for scheduling shared charging treasures in this embodiment, as shown in fig. 2, and the flowchart includes the following steps:
step S202, predicting the real-time demand of the shared charger baby of the area to be scheduled.
Specifically, the area to be scheduled is an area of interest selected through the background, for example, the service end obtains the area of interest through a device position algorithm, and the area to be scheduled by the treasured to be charged can be a specific store to be scheduled; the server predicts the real-time demand of the shared treasures of the area to be scheduled according to market research or treasures order information of the client, wherein the real-time demand of the shared treasures of the area to be scheduled can be the real-time demand obtained through a linear regression algorithm. Linear regression is the primary demonstration tool for economics. For example, it is used to predict consumer costs, fixed investment costs, inventory costs, purchases of export products in one country, import costs, demand for holding liquidity assets, labor demands, labor supplies; the real-time demand in this embodiment may be the demand of the time dimension shared charger, for example, the golden week of travel, the night economy peak period, the weekend period, etc.; and can also be a geographic dimension such as a train station during spring travel, airport, hot spot, etc.
Step S204, counting the real-time effective quantity of the shared treasures of the area to be scheduled, wherein the real-time effective quantity is the quantity which is determined according to the set conditions and meets the use requirement in the shared treasures of the warehouse.
Specifically, the effective number of the shared charging treasures which can meet the use requirement of the user in the set time is counted for the shared charging treasures in the area to be scheduled, for example, the storage quantity of the shared charging treasures in the warehouse is 20, but 5 of the shared charging treasures cannot meet the use requirement of the user, and the effective number of the shared charging trees is 15.
And step S206, scheduling the in-bin shared charger baby according to the real-time demand of the shared charger baby in the area to be scheduled and the real-time effective quantity of the in-bin shared charger baby in the area to be scheduled.
Specifically, according to the real-time demand of the area to be scheduled, namely, how many shared charging treasures are needed to meet the demands of users. Then, the real-time effective quantity of the shared charging treasures in the warehouse needs to be counted, namely the quantity of the charging treasures meeting the use requirement. Based on these two data, a shared charger baby schedule can be performed. The specific manner of dispatch may include dispatching shared charger baby from other areas to be dispatched or servicing or replacing shared charger baby that does not meet the use requirements. The purpose of dispatch is to ensure that the user of waiting the dispatch region can in time conveniently use sharing treasured that charges, improves user's satisfaction and use experience.
Further, the real-time demand of the area to be scheduled can be predicted according to the real-time effective quantity of the shared charging treasures in the warehouse by setting up a prediction model. The prediction models include trend prediction models and regression prediction models. The trend prediction model may be a model that predicts a future based on a known trend, e.g., a trend prediction model-the trend of the future is the same as the past trend of the change, accurately describing the trend of the predicted variable. Or the correlation between the regression prediction model and the variables in the prediction period is the same as that of the sample period, the relation between the prediction variables and the influencing factors is accurately described, and the future can be presumed by using the known relation.
Still further, the prediction is based on a correlation of future lease orders with historical lease orders. Since the order information has information of time, user location and charging device store location, this association involves not only a spatiotemporal association of the same area user location (store location) but also a spatiotemporal association of different area user locations (store locations). Based on the above, three charger lease order prediction models based on deep learning are provided in the embodiment. First, users are clustered and divided into user groups and store groups, and spatial structure relations of orders in the user group space and spatial structure relations in the store group space are searched. Then, the simultaneous orders in the user group and the store group are related to form a user-store group space, and spatial structure connection in the user-store group space is found. Further, in the case of renting time based on an actual charger baby, time is divided into time slices. And then, the three spaces are related according to the time slice sequence, and the relation of the three spaces on the time sequence is found. And finally, adding the factors such as preferential activities, holidays, weather and the like into the model, and improving the prediction performance of the model. The evaluation criteria for three models were RMSE, MSE, and MAE, where RMSE was around 0.17, MSE was around 0.030, and MAE was around 0.013. Almost all the areas without orders are eliminated, the trend of order generation is predicted for the areas with more orders, the predicted requirement is basically met, and the model proposed herein can be shown to be feasible and effective.
Through the steps, the real-time demand of the shared charger baby in the area to be scheduled is predicted; counting the real-time effective quantity of shared charging treasures in an area to be scheduled, wherein the real-time effective quantity is the quantity which meets the use requirement in the shared charging treasures in a bin and is determined according to the set condition; according to the real-time demand of the shared charging treasures in the area to be scheduled and the real-time effective quantity of the shared charging treasures in the area to be scheduled, the shared charging treasures in the area are scheduled, the problem that the shared charging treasures cannot be scheduled timely and accurately in the related art is solved, the efficient and accurate scheduling of the shared charging trees is realized, and the circulation rate of the shared charging treasures is improved.
In some of these embodiments, predicting the real-time demand of the shared treasures for the area to be scheduled includes: acquiring order data of the shared charger, wherein the order data is used for displaying order information of the shared charger; acquiring video data of an area to be scheduled, and determining the passenger flow volume of the area to be scheduled according to the video data of the area to be scheduled; and predicting the real-time demand of the shared charger baby in the area to be scheduled according to the order data of the shared charger baby and the passenger flow volume of the area to be scheduled.
Specifically, the server may classify the order according to the position in the order, for example, by establishing a classification model or a matching model, so that the server may classify the order according to the position in the order, and then determine the treasured charge demand of each to-be-scheduled area according to the number of orders in each to-be-scheduled area. Further, the received order is the current user's use requirement of each area to be scheduled, and there is a potential use requirement for the entire user. The server can also forecast the demand of the charger in a future period by combining historical order data on the basis of the current order quantity. For example, the number of orders in the current area to be scheduled (a mall or a city area) is 200, and the server can calculate and determine that the demand of the treasures in the area to be scheduled is 450 according to the association between the historical order data and the prediction model.
Further, the server establishes a classification model or a matching model, so that classifying the order according to the position in the order comprises: and constructing a classification model, namely acquiring a trained classification model which is trained from the source field, and constructing an initial classification model by combining a full connection layer. Obtaining a training sample, inputting the training sample into the trained classification model of the initial classification model, and obtaining a prediction classification result corresponding to the characteristics by adding a full connection layer at the output end of the trained classification model; and based on the difference between the classification labels and the prediction classification results, carrying out parameter adjustment on the full-connection layer in the initial classification model to obtain the classification model for the target field. And training the full-connection layer on the basis of the converged trained classification model.
In some of these embodiments, counting the real-time effective number of shared treasures of charge for the area to be scheduled includes: counting in-house real-time data of the in-house shared charging treasures, wherein the in-house real-time data are used for displaying in-house state information of the shared payment treasures; performing performance test on the in-house shared charger to obtain performance data of the in-house shared charger, wherein the performance data are used for displaying performance information of the shared charger; and determining the real-time effective quantity of the shared charging treasures in the area to be scheduled according to the performance data of the shared charging treasures in the bin and the real-time data of the shared charging treasures in the bin.
In some of these embodiments, the in-bin real-time data includes bin disabled status data, bin treasured status data, treasured charge code read data, bin charge data, and bin short order data.
Specifically, the bin disabled state data in table 1 below refers to state data that indicates whether the shared charger baby bin is disabled or not, and may be used to determine whether the bin is available or not. The bin spring state data refers to data of whether the charge pal is in a pop-up state in the bin sharing charge pal bin, and can be used for judging whether the charge pal is taken out. The data read by the charger baby code refers to the data read by the charger baby code by the shared charger baby in the bin, and can be used for confirming identity information of the charger baby. The bin charging data refers to charging state data of the charging bank in the bin sharing charging bank bin, and can be used for judging charging conditions of the charging bank. The short-time order data of the bin refers to the data of the short-time order in the bin sharing charging treasures bin, and can be used for recording the renting condition of the charging treasures. These real-time data can be used for management and monitoring of the shared charger baby in the warehouse to improve the use efficiency and safety of the charger baby.
Table 1 sharing charging cabinet bin and charging bank problem point
In some embodiments, performing a performance test on the in-bin shared charger baby, obtaining performance data of the in-bin shared charger baby comprises: carrying out energy storage capability test on the in-bin shared charger baby to obtain energy storage capability data of the in-bin shared charger baby; carrying out charging capability test on the in-house shared charger baby to obtain charging performance data of the in-house shared charger baby; and carrying out service life test on the in-bin shared charger baby to obtain service life performance data of the in-bin shared charger baby.
In some embodiments, obtaining order data for the shared charger baby, the order data for displaying the order information for the shared charger baby includes: acquiring a user order of a region to be scheduled; determining shared treasured charging demand data information of an area to be scheduled according to a user order; the shared treasured data information includes treasured usage time information and treasured data line usage information.
Specifically, acquiring the user order of the area to be scheduled refers to acquiring the user order information of all the areas to be scheduled from a database, wherein the user order information comprises an order number, a user ID, an order state, order creation time, order ending time and the like. The step of determining the shared treasured demand data information of the area to be scheduled according to the user order refers to determining the information such as the number of shared treasures to be provided, the type of the treasures to be provided, the service time of the treasures to be provided, the service condition of the treasures to be provided, and the like according to the information in the user order. The shared treasured data information comprises treasured service time information and treasured data line service information, and the service time and the data line service condition of each shared treasured are determined according to the information in the user order so as to be convenient for scheduling and management. Displaying the order data on the front end means displaying the acquired order data on a front end interface, wherein the acquired order data comprises user order information and shared treasured charging demand data information, and the manager can conveniently schedule and manage the data. Through the steps, the order data of the shared charger baby can be acquired and managed and scheduled, so that the effective use and management of the shared charger baby are ensured.
Further, when detecting whether the treasured that charges is unusual, still include detecting whether the data line of treasured that charges is unusual, specifically, can be that the online statistics is specific when treasured that charges is borrowed, what data line port is used by the customer, when a certain treasured that charges is borrowed, only use the android mouth that charges, can judge the apple charging line and other line damage of this treasured that charges together according to other data, wherein other data include the time of use of the different data lines of treasured that charges, the lease time of treasured that charges, the interface information that the charging line corresponds, etc. further, still can be through the linear function, or further use softmax function to become probability form with the data line output of treasured that charges.
In some of these embodiments, scheduling the in-bin shared treasures according to the shared treasures demand of the area to be scheduled and the effective number of in-bin shared treasures of the area to be scheduled comprises: determining the scheduling demand of the area to be scheduled according to the demand of the treasures to be scheduled, the effective quantity of shared treasures in the warehouse of the area to be scheduled and the distance between the areas to be scheduled; scheduling requirements include an adjustable in-charge treasured number or an adjustable out-charge treasured number.
The present embodiment is described and illustrated below by way of preferred embodiments.
Fig. 3 is a flowchart of a method for scheduling shared charging treasures according to the preferred embodiment, as shown in fig. 3, the method for scheduling shared charging treasures includes the following steps:
step S302, estimating the point location demand according to store locations, passenger flows, holidays and historical usage treasured data.
Specifically, as shown in fig. 4, a point-location demand estimating line is formed by taking a horizontal axis as a date, taking a vertical axis as a current in-slot treasured number, and using treasured data according to store locations, passenger flows, holidays and histories, wherein point A represents the current in-slot treasured number when treasures need to be supplemented, point B represents the cooling period number of the treasured, the distance AB represents the number of the treasures need to be supplemented, point C represents the current in-slot treasured number when treasures need to be extracted, the vertical distance CE between point C and the point-location demand estimating line is the number of the treasures need to be extracted, the treasures need to be supplemented and the treasures need to be extracted as shorthand for extracting the treasures; the number of the precious supplement cooling period is 3 days, so that the precious supplement can not be frequently performed in a store, the precious supplement cost is controlled, and the execution efficiency is improved. The number of the charge treasures is borrowed by the same day in the same period of the dynamic period, the data of the historical period of 4 weeks and 28 days are taken, the number of the charge treasures borrowed by the same day in the week is summed and divided by 4 in each week, for example, the number of the charge treasures borrowed by the first week is 10 in each month, the number of the charge treasures borrowed by the second week is 12 in each month, the third monday is 10, the fourth monday is 12, the average charge treasures of monday is the sum of 10+12+10+12 divided by 4 or 11, and the demand from monday to monday is obtained by the same way, which represents the average demand amount of the charge treasures in a week.
Further, if the (T-1 day) empty slot condition still occurs on the premise of the demand, a preventive empty slot buffer (abbreviated as "anti-empty slot buffer") is added, which is the number of empty slot devices (i.e. the racks sharing the charger), for example: the equipment group A comprises 3 cabinets sharing the charger baby, and when 2 empty slots appear in the T-1 day, the buffer=2; the function of the empty slot buffer is (1) to eliminate the empty slots possibly caused by the natural increment and the demand forecast is less due to the original fault. And observing the empty slot condition of the subsequent point according to the demand, if the situation continues to appear, the corresponding average demand is increased, and 1 empty slot buffer is further increased on the basis of the new demand. If no empty slot appears, the actual demand is generally unchanged or reduced, and the subsequent average demand can be adjusted along with the actual demand at the moment, so that excessive supplementary charge pals can not be caused.
And step S304, determining the quantity of the supplementary treasures and the taken-out treasures at the point positions in real time.
Specifically, the quantity of the abnormal charge pals is updated in real time through a set abnormal charge pal and bin position diagnosis method, and the point position requirements are adjusted; the diagnosis method of the abnormal charge pal comprises the steps of counting the bin space and the service condition of the charge pal, and judging whether the charge pal is abnormal or not according to the service condition of a customer. The points are divided into three categories: net outflow, balance and net inflow; the net outflow means that the return quantity of the charger baby at the different store after being borrowed is larger than the return quantity at the store; balance means that the return quantity of the charge pal at the different store after being borrowed is equal to the return quantity at the store; the net inflow means that the return amount at the different store after the charge pal is borrowed is smaller than the return amount at the present store.
Further, the net outflow store target treasured number=point treasured required number+net outflow treasured number for day 3. Because the net outflow store can continuously reduce at the groove treasured that charges, lead to the frequent treasured that charges of replenishing of executive side, consequently increase the net outflow treasured that charges of 3 days and correspond quantity, can guarantee under the stable circumstances of demand, 4 am every day in the groove volume > = demand in 3 days, the treasured that charges of replenishing once in 3 days. Balance store target treasured number=point location treasured demand number net flow store target treasured number=point location treasured demand number. The balance and net flow into two types of stores are once the charging treasures corresponding to the supplement value demand quantity, the tank charging treasures cannot be reduced in a short time, and the charging treasures can be supplemented unless the tank quantity is supplemented due to the accidental event.
Step S306, according to the calculated supplementary treasures and the calculated treasures taking quantity, scheduling the treasures to be charged by the staff.
Specifically, comparing the target charge treasured number with the normal charge treasured number, and when the target charge treasured number is less than the normal charge treasured number, taking treasured in a dispatch state; and when the target charge treasured number is greater than the normal charge treasured number, the scheduling state is the supplementary treasured. When the scheduling state is treasured taking, treasured taking number=normal charge treasured number-target charge treasured number; when the scheduling state is the supplementary treasures, the supplementary treasures number=min (target charged treasures number, normal bin number) -normal charged treasures number. The scheduling of treasured charges is according to the point position polymerization in store, calculates the point position of every store and needs the moisturizing, get precious quantity, say: one store has 2 racks of shared treasures that charge, one of which needs to take out 1 treasure that charges, and the other of which needs to be replenished with 2 treasures that charge, with the result that the store needs to be replenished with one treasure.
Further, the server establishes a real-time information table of the equipment according to the relation between the equipment and the store, the real-time bin information of the equipment and the target table of the charging treasures, and establishes a real-time information table of the store according to the store table, the real-time information table of the equipment and the work order table so as to schedule the charging treasures; the store table comprises a store id, store basic information and store marking information, and the work order table comprises work order marks and outstanding work order numbers; firstly, the server associates information of a store and equipment (namely a cabinet sharing a charging treasury) in advance; the device information comprises device codes, device basic information and device installation related information; the server acquires bin information of the equipment in real time, establishes a treasured object table of charging, calculates scheduling information according to bin change, and specifically calculates full slot rate, scheduling state and scheduling number according to bin information or treasured information of charging and an online state; determining whether the equipment needs to be scheduled or not according to the target charge treasures; the server obtains the change of the equipment bin according to the equipment real-time information table, calculates scheduling information according to stores, and specifically comprises the steps of calculating the full slot rate, calculating the scheduling state, the equipment number to be scheduled, the precious number to be acquired, the online state and the like.
It should be noted that the steps illustrated in the above-described flow or flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order other than that illustrated herein.
The embodiment also provides a scheduling device for sharing the charging device, which is used for implementing the foregoing embodiments and preferred embodiments, and is not described in detail. The terms "module," "unit," "sub-unit," and the like as used below may refer to a combination of software and/or hardware that performs a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware, are also possible and contemplated.
Fig. 5 is a block diagram showing a configuration of a scheduling apparatus for sharing a charger baby according to the present embodiment, and as shown in fig. 5, the scheduling apparatus includes:
the prediction module 10 is used for predicting the real-time demand of the shared charger baby in the area to be scheduled;
the statistics module 20 is used for counting the real-time effective quantity of the shared charging treasures in the area to be scheduled, wherein the real-time effective quantity is the quantity which is determined according to the set conditions and meets the use requirement in the shared charging treasures in the warehouse;
the scheduling module 30 is configured to schedule the in-bin shared charger baby according to the real-time demand of the shared charger baby in the to-be-scheduled area and the real-time effective number of the in-bin shared charger baby in the to-be-scheduled area.
The above-described respective modules may be functional modules or program modules, and may be implemented by software or hardware. For modules implemented in hardware, the various modules described above may be located in the same processor; or the above modules may be located in different processors in any combination.
There is also provided in this embodiment an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input/output device is connected to the processor.
Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:
s1, predicting the real-time demand of the shared charger baby in the area to be scheduled.
S2, counting the real-time effective quantity of the shared charging treasures in the area to be scheduled, wherein the real-time effective quantity is the quantity which is determined according to the set conditions and meets the use requirement in the bin shared charging treasures.
S3, scheduling the in-bin shared charger baby according to the real-time demand of the shared charger baby in the to-be-scheduled area and the real-time effective quantity of the in-bin shared charger baby in the to-be-scheduled area.
It should be noted that, specific examples in this embodiment may refer to examples described in the foregoing embodiments and alternative implementations, and are not described in detail in this embodiment.
In addition, in combination with the scheduling method of the shared charger baby provided in the above embodiment, a storage medium may be further provided to implement this embodiment. The storage medium has a computer program stored thereon; the computer program, when executed by a processor, implements the scheduling method of any of the shared treasures of charge in the above embodiments.
It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to be limiting. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure in accordance with the embodiments provided herein.
It is to be understood that the drawings are merely illustrative of some embodiments of the present application and that it is possible for those skilled in the art to adapt the present application to other similar situations without the need for inventive work. In addition, it should be appreciated that while the development effort might be complex and lengthy, it will nevertheless be a routine undertaking of design, fabrication, or manufacture for those of ordinary skill having the benefit of this disclosure, and further having the benefit of this disclosure.
The term "embodiment" in this disclosure means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive. It will be clear or implicitly understood by those of ordinary skill in the art that the embodiments described in the present application can be combined with other embodiments without conflict.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the patent claims. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A method for scheduling shared charge pals, the method comprising:
predicting the real-time demand of the shared charger baby in the area to be scheduled;
counting the real-time effective quantity of the shared charging treasures in the area to be scheduled, wherein the real-time effective quantity is the quantity which is determined according to set conditions and meets the use requirement in the shared charging treasures in the warehouse;
and dispatching the in-bin shared charger baby according to the real-time demand of the shared charger baby in the to-be-dispatched area and the real-time effective quantity of the in-bin shared charger baby in the to-be-dispatched area.
2. The scheduling method of the shared charger baby according to claim 1, wherein predicting the real-time demand of the shared charger baby for an area to be scheduled comprises:
acquiring order data of the shared charger baby, wherein the order data is used for displaying order information of the shared charger baby;
acquiring video data of the area to be scheduled, and determining the passenger flow volume of the area to be scheduled according to the video data of the area to be scheduled;
and predicting the real-time demand of the shared charger baby in the area to be scheduled according to the order data of the shared charger baby and the passenger flow volume of the area to be scheduled.
3. The method for scheduling shared treasures for charging according to claim 1, wherein said counting the real-time effective number of said shared treasures for charging in said area to be scheduled comprises:
counting the in-house real-time data of the in-house shared charging treasures, wherein the in-house real-time data are used for displaying in-house state information of the shared payment treasures;
performing performance test on the in-house shared charger baby to obtain performance data of the in-house shared charger baby, wherein the performance data are used for displaying performance information of the shared charger baby;
and determining the real-time effective quantity of the shared charging treasures in the area to be scheduled according to the performance data of the in-bin shared charging treasures and the in-bin real-time data of the in-bin shared charging treasures.
4. The method for scheduling shared charger baby of claim 3,
the in-bin real-time data comprise bin forbidden state data, bin bullet state data, charging treasured code reading data, bin charging data and bin short-time order data.
5. The method for scheduling shared treasures for charging according to claim 3, wherein said performing a performance test on said shared treasures for charging in bins, obtaining performance data of said shared treasures for charging in bins comprises:
performing energy storage capability test on the in-bin shared charger baby to obtain energy storage performance data of the in-bin shared charger baby;
performing charging capability test on the in-house shared charger baby to obtain charging performance data of the in-house shared charger baby;
and carrying out service life test on the in-bin shared charger baby to obtain service life performance data of the in-bin shared charger baby.
6. The method for scheduling a shared charger as set forth in claim 3, wherein said obtaining order data of the shared charger, the order data for displaying order information of the shared charger comprises:
acquiring a user order of the area to be scheduled;
determining the shared charger baby demand data information of the area to be scheduled according to the user order;
the shared treasured data information that charges includes treasured service time information and treasured data line use information charges.
7. The scheduling method of the shared treasures for charging according to any one of claims 1 to 6, wherein the scheduling the shared treasures for charging in bins according to the shared treasures demand of the area to be scheduled and the effective number of shared treasures for charging in bins of the area to be scheduled comprises:
determining the scheduling requirement of the area to be scheduled according to the charging bank demand of the area to be scheduled, the effective quantity of the in-bin shared charging banks of the area to be scheduled and the distance between the areas to be scheduled;
the scheduling requirement comprises the quantity of adjustable charging treasures or the quantity of adjustable discharging treasures.
8. A scheduling apparatus for sharing a charger baby, the scheduling apparatus comprising:
the prediction module is used for predicting the real-time demand of the shared charger baby in the area to be scheduled;
the statistics module is used for counting the real-time effective quantity of the shared charging treasures in the area to be scheduled, wherein the real-time effective quantity is the quantity which is determined according to the set conditions and meets the use requirement in the shared charging treasures in the warehouse;
and the scheduling module is used for scheduling the in-bin shared charging treasures according to the real-time demand of the shared charging treasures of the to-be-scheduled area and the real-time effective quantity of the in-bin shared charging treasures of the to-be-scheduled area.
9. An electronic device, comprising: a processor, a memory and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of scheduling shared treasures of charge according to any one of claims 1 to 7 when the program is executed by the processor.
10. A readable storage medium, characterized in that instructions in said storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the steps of the shared treasured scheduling method of any one of claims 1 to 7.
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