CN112598457A - Control method and device for unmanned vending vehicle and unmanned vending vehicle - Google Patents
Control method and device for unmanned vending vehicle and unmanned vending vehicle Download PDFInfo
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Abstract
The invention provides a control method and a device of an unmanned vending vehicle and the unmanned vending vehicle, and relates to the technical field of unmanned, automatic and unmanned vehicle vending, wherein the method comprises the following steps: acquiring the residual quantity of target commodities in an unmanned vending vehicle at a first vending place; acquiring the expected sales volume of the target commodity in each sales time period of different sales places; when the residual quantity is larger than the predicted sales quantity at the positive price, calculating a first predicted loss amount sold at the first selling point; calculating a second expected loss amount of the unmanned selling vehicle sold up after going to a second selling place; when first expected loss amount is greater than the expected loss amount of second, control unmanned vehicle of selling go to the second and sell the place, when first loss amount is less than or equal to the expected loss amount of second, control unmanned vehicle of selling continues selling in first selling the place and sell. The invention can sell the commodities as soon as possible, thereby shortening the selling period of the commodities in the unmanned selling machine and avoiding commodity waste.
Description
Technical Field
The invention relates to the technical field of unmanned vehicles, in particular to a control method and device of an unmanned vending vehicle and the unmanned vending vehicle.
Background
The vending machine is a common commercial automation device, is not limited by time and space, and has flexible site selection and convenient transaction. With the maturity of the internet of things technology, the popularization of mobile payment and the continuous rising of the current economic cost, the vending machine is used as a low-cost and rapidly-expandable ultramicro retail channel carrier, and has huge future development potential.
However, the current vending machine is arranged in a fixed place and cannot move independently, the stored commodities cannot be efficiently combined with the purchase demand of consumers, the commodity price is adjusted according to the overall sales volume of the market, the attractions to the consumers in different places are different, the selling period of the vending machine is long due to the fact that the commodity price is large, and waste of the commodities is caused.
Disclosure of Invention
The invention solves the problem that the existing automatic vending machine wastes commodities due to long vending period.
In order to solve the above problems, the present invention provides a control method of an unmanned vending vehicle, the method including: acquiring the residual quantity of target commodities in an unmanned vending vehicle at a first vending place; acquiring the expected sales volume of the target commodity in each sales time period of different sales places; the predicted sales amount comprises a predicted sales amount corresponding to a positive price and a predicted sales amount corresponding to a discount; when the residual quantity is larger than the expected sales quantity at the positive price, calculating a first expected loss amount corresponding to the target commodity which finishes selling the residual quantity at a first selling point; calculating a second expected loss amount corresponding to the target commodities of which the left quantity is sold up when the unmanned selling vehicle goes to a second selling place; when the first expected loss amount is larger than the second expected loss amount, the unmanned vending vehicle is controlled to go to the second vending place for vending, and when the first loss amount is smaller than or equal to the second expected loss amount, the unmanned vending vehicle is controlled to continue vending at the first vending place.
Optionally, the calculating a first expected loss amount corresponding to the target product sold out of the remaining quantity at the first selling point includes: if the residual quantity is larger than the predicted sales quantity corresponding to the discount, calculating a first product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a second product of the sales quantity difference and the positive price, and summing the first product and the second product to obtain a first predicted loss amount; the sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount; and if the residual quantity is less than or equal to the expected sales quantity corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain a first expected loss amount.
Optionally, the calculating a second expected loss amount corresponding to the unmanned vending vehicle going to a second vending place and selling the remaining amount of the target goods includes: if the residual quantity is larger than the predicted sales quantity corresponding to the discount, calculating a third product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a fourth product of the sales quantity difference and the positive price, and summing the third product and the fourth product to obtain a discount loss amount; the sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount; if the residual quantity is less than or equal to the predicted sales volume corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain a discount loss amount; calculating a cost of traveling to a second point of sale; and adding the discount loss amount and the cost to obtain the second predicted loss amount.
Optionally, the summing the discounted loss amount and the cost to obtain the second expected loss amount includes: calculating a first product of the discount loss amount and a discount weight coefficient, and a second product of the cost of traveling to the second selling location and a traveling loss weight coefficient; wherein the discount weight coefficient is positively correlated with the discount spread corresponding to the discount loss amount, and the driving loss weight coefficient is positively correlated with the driving duration; and adding the first product and the second product to obtain the second expected loss amount.
Optionally, the method further comprises: and if the remaining quality guarantee period of the target commodity is smaller than a preset threshold value, controlling the unmanned vending vehicle to go to a third vending place with the predicted sale amount larger than the remaining amount and the minimum time for going to, and adjusting the price of the target commodity according to a discount corresponding to the third vending place.
Optionally, if there are other goods in the unmanned vending vehicle, the determining the vending mode of the unmanned vending vehicle includes: if a plurality of second selling places with the same second expected loss amount exist, determining the consumption capacity of each second selling place for other commodities; and controlling the unmanned vending vehicle to go to the second vending place with highest consumption capacity.
Optionally, the method further comprises: if a plurality of second selling places with the same second expected loss amount exist, determining the distance between each second selling place and a replenishment place or a charging place; and controlling the unmanned vending vehicle to go to the second vending place with the minimum distance.
Optionally, the method further comprises: acquiring historical sales amount corresponding to the positive price and historical sales amount corresponding to the discount of the unmanned vending vehicle in the vending place in a historical sales period; and determining the expected sales volume of the unmanned vending vehicle at the vending place according to the historical sales volume.
The invention provides a control device of an unmanned vending vehicle, which comprises: the system comprises a residual quantity obtaining module, a residual quantity obtaining module and a residual quantity obtaining module, wherein the residual quantity obtaining module is used for obtaining the residual quantity of target commodities in an unmanned selling vehicle at the current selling place; the expected quantity obtaining module is used for obtaining expected sales quantity of the target commodity in each sales time period of different sales places; the predicted sales amount comprises a predicted sales amount corresponding to a positive price and a predicted sales amount corresponding to a discount; the first calculation module is used for calculating a first expected loss amount corresponding to the target goods of which the residual quantity is sold at a first selling point when the residual quantity is larger than the expected selling quantity at the positive price; the second calculation module is used for calculating a second expected loss amount corresponding to the target commodities of which the left quantity is sold up when the unmanned selling vehicle goes to a second selling place; and the selling control module is used for controlling the unmanned selling vehicle to go to the second selling place for selling when the first expected loss amount is larger than the second expected loss amount, and controlling the unmanned selling vehicle to continue selling at the first selling place when the first loss amount is smaller than or equal to the second expected loss amount.
The invention provides an unmanned vending vehicle, which comprises a controller and a commodity vending device, wherein the controller is connected with the commodity vending device; the controller is used for executing the control method provided by any one of the above items.
The control method and device for the unmanned vending vehicle and the unmanned vending vehicle provided by the embodiment can effectively combine commodities with potential consumption demands, improve the attraction to consumers according to local conditions, sell the commodities as soon as possible, shorten the vending cycle of the commodities in the unmanned vending machine and avoid commodity waste.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method of controlling an unmanned vend vehicle in accordance with an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a control device of an unmanned vending vehicle according to an embodiment of the present invention.
Description of reference numerals:
201-residual quantity obtaining module; 202-a projected quantity acquisition module; 203-a first calculation module; 204-a second calculation module; 205-sell control module.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the invention provides an unmanned vending vehicle which comprises a controller and a commodity vending device. The controller may control the vehicle to travel to a predetermined vend location and control the sale price of the merchandise within the merchandise sales device. The process of selecting which selling place to use as the traveling destination and determining the selling price of the goods may be performed by the controller, or may be performed by a server to which the controller is connected, and then transmitted to the controller. Optionally, the server may be in communication connection with controllers of a plurality of unmanned vending vehicles, and the selling places and selling prices of the unmanned vending vehicles are controlled by the server in a unified manner.
FIG. 1 is a schematic flow chart of a method of controlling an unmanned vend vehicle in one embodiment of the present invention, the method comprising:
and S102, acquiring the residual quantity of the target commodities in the unmanned vending vehicle at the first vending place.
The unmanned vending vehicle can store and sell various commodities, and the target commodity can only comprise one kind of commodity or a plurality of kinds of commodities in the process of controlling the unmanned vending vehicle. The information such as the storage quantity, the selling quantity, the residual quantity and the like of the target commodities is stored in the unmanned selling vehicle and can be read according to the requirement.
And S104, acquiring the expected sales volume of the target commodity in each sales time interval of different sales places.
In order to accurately combine the goods of the unmanned vending vehicle with the purchase demand of the consumer, one day is divided into a plurality of sales periods, for example, two hours is divided into one sales period. In the subsequent steps, a commodity price adjustment process of the unmanned vending vehicle is performed once every vending period, and a vending place adjustment process of the unmanned vending vehicle is performed once. Unmanned vehicle of selling adjusts the mode of selling of unmanned vehicle of selling based on above-mentioned adjustment flow, and the mode of adjusting includes but not limited to following form: maintaining the price of the last sale period, maintaining the sale location of the last sale period, traveling to a sale location different from the sale location of the last sale period, modifying to a price different from the price of the last sale period, etc.
The predicted sales amount of the target commodity in each sales period of different sales locations can be determined according to the historical sales amount of the target commodity in the historical sales period of the corresponding sales location, and the predicted sales amount comprises the following steps: acquiring historical sales amount corresponding to positive price and historical sales amount corresponding to discount of an unmanned vending vehicle in a vending place in a historical vending time period; and determining the expected sales volume of the unmanned vending vehicle at the vending place according to the historical sales volume. Alternatively, an average value of the historical sales amounts of the plurality of historical sales periods is used as the predicted sales amount, or a median value of the historical sales amounts of the plurality of historical sales periods is used as the predicted sales amount, or a maximum value or a minimum value of the historical sales amounts of the plurality of historical sales periods is used as the predicted sales amount.
Further, the sales period takes into account period attributes such as weekdays, holidays, and the like, and in order to improve the accuracy of prediction of the predicted sales, the predicted sales amount is determined based on historical periods of the same attributes (e.g., both weekdays, both holidays).
Further, the sales period is determined based on the historical period of the same characteristics in consideration of the characteristics of the period, such as rain, snow, clear weather, high temperature, and the like, that is, the characteristic information about how many potential customers exist outside.
And S106, when the residual quantity is larger than the expected sales quantity at the positive price, calculating a first expected loss amount corresponding to the target product which finishes selling the residual quantity at the first selling point.
When the remaining quantity is larger than the expected sales amount at the positive price, if the sales are continued at the first selling point, the discount sales are required to be made, and the sales at the discount price have a loss amount with respect to the positive price sales. The target product may be provided with a plurality of different discounts, and it should be noted that each different discount may correspond to a different expected sales amount. For example, when the target commodity is sold at 9 folds, 15 shares are expected to be sold; when the target commodity is sold in 8 folds, 20 shares of the target commodity are expected to be sold; if the target commodity is sold by 7 folds, 30 shares are expected to be sold.
After the target product is discounted, the target product is sold or not sold, and the corresponding loss amount is different, which is specifically as follows:
(1) if the remaining quantity is larger than the predicted sales quantity corresponding to the discount, calculating a first product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a second product of the sales quantity difference and the positive price, and summing the first product and the second product to obtain a first predicted loss amount. The sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount. If the loss is not sold out, two parts are included in the first expected loss amount: the spread loss amount of the target item sold by discount and the positive price loss amount of the target item not sold (i.e., lost) are discounted.
(2) And if the residual quantity is less than or equal to the expected sales quantity corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain a first expected loss amount. And if the target product is sold out, only the price difference loss amount of the target product sold in a discount mode is included in the first expected loss amount.
And S108, calculating a second expected loss amount corresponding to the target commodities of which the unmanned selling vehicle finishes selling the residual quantity after going to a second selling place.
Optionally, calculating the second expected loss amount may include the steps of:
(1) and if the residual quantity is larger than the predicted sales quantity corresponding to the discount, calculating a third product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a fourth product of the sales quantity difference and the positive price, and summing the third product and the fourth product to obtain the discount loss amount. The sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount.
(2) And if the residual quantity is less than or equal to the predicted sales quantity corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain the discount loss amount. The calculation process of the discount loss amount is similar to the calculation process of the first expected loss amount, and is not described herein again.
(3) The cost of traveling to the second point of sale is calculated. The cost of traveling to the second selling point includes one or more of energy cost consumed by traveling, road toll cost and parking fee cost.
(4) The discounted amount of loss is summed with the cost to obtain a second projected amount of loss.
And S110, when the first expected loss amount is larger than the second expected loss amount, controlling the unmanned vending vehicle to go to the second vending place for vending, and when the first loss amount is smaller than or equal to the second expected loss amount, controlling the unmanned vending vehicle to continuously sell at the first vending place.
After the first expected loss amount and the second expected loss amount are obtained, the selling place of the unmanned selling vehicle can be determined to generate smaller loss, and the selling behavior of the unmanned selling vehicle can be controlled. The control method is executed in each selling time period, and the selling place and the selling price of the unmanned selling vehicle can be adjusted in time along with the time change, so that the selling speed of the target commodity is improved, the selling price is improved as much as possible, the maximum selling benefit is realized, the selling period of the commodity is shortened, and the waste of the commodity is avoided.
According to the control method of the unmanned vending vehicle, expected sales amounts of target commodities in each sales period of each sales location can be calculated, expected loss amounts of the target commodities in the first sales location and the second sales location can be obtained, the unmanned vending vehicle is controlled to sell the commodities in the sales locations with the expected loss amounts being smaller, accordingly, the commodities and potential consumption requirements are effectively combined, attractiveness to consumers is improved according to local conditions, the commodities are sold as soon as possible, the sales cycle of the commodities in the unmanned vending machine is shortened, and commodity waste is avoided.
In the case where there are M total of the unmanned sales vehicles in the current sales period, the above S104 may be performed as follows: if N other unmanned selling vehicles exist in the selling place at the preset time of the current selling time period, subtracting the sold quantity and the quantity of the target commodities in the N other unmanned selling vehicles from the expected selling quantity of the current selling time period to obtain the actual expected selling quantity of the target commodities in the current selling time period of the selling place. Wherein M is greater than or equal to N, and M, N are positive integers.
The predetermined time is, for example, a midpoint time of the current sales period. At a ratio of 17: 00-19: when 00 is the current sales period, for example, the midpoint time 16:00 is selected, the sold quantity at the sales location (the quantity of the target products sold by all the unmanned sales vehicles at the sales location) and the remaining quantity of the target products in each of the other unmanned sales vehicles are determined at 16:00, and the sold quantity and the remaining quantity are subtracted from the expected sales quantity to obtain the actual expected sales quantity of the current sales period at the sales location.
By means of determining the actual expected sales volume at the preset time, the situation that a plurality of unmanned selling vehicles exist in a certain selling place is considered, and the quantity of the target commodities which can be sold is accurately determined. And the process is executed at the midpoint moment, enough time is left in the current selling time period to adjust the selling place and the price of the unmanned selling vehicle, and the feasibility is high.
When the predicted loss amount is calculated, different weight coefficients are set for the discount loss amount and the running time, so that the relative importance degree of the discount loss amount or the running time in the process of place and price decision is improved. Based on this, the second expected loss amount may be performed according to the following steps:
(1) a first product of the discount loss amount and the discount weight coefficient, and a second product of the cost of traveling to the second point of sale and the travel loss weight coefficient are calculated. The discount weight coefficient is positively correlated with the discount spread corresponding to the discount loss amount, and the driving loss weight coefficient is positively correlated with the driving duration.
On the basis of artificially setting the relative weight of the discount loss amount and the travel time length, the discount weight coefficient and the travel loss weight coefficient can also be preset with the change rule of the discount weight coefficient and the travel loss weight coefficient. Setting a driving loss weight coefficient to be positively correlated with the driving time length in consideration of the purpose of shortening the driving time length, wherein the driving loss weight coefficient is larger if the driving time length is longer, so that the final estimated loss amount is relatively higher; considering the purpose of reducing the discount proportion, the discount weight coefficient is set to be in positive correlation with the discount spread, and if the discount spread is larger, the discount weight coefficient is larger, so that the final expected loss is relatively higher. The relatively higher expected loss results in the target unmanned vender not selecting its corresponding sales location, and the result of selecting other sales locations achieves the above-mentioned objective.
(2) The first product and the second product are added to obtain a second expected loss.
Since the target goods in the unmanned selling vehicle have shelf life limit, once the shelf life is exceeded, the target goods close to the shelf life can not be sold in principle, so that the target goods are sold as soon as possible, the selling place with larger selling quantity is selected when the selling place is selected, and the target goods can be further discounted on the basis of the existing discount to be sold as soon as possible. The above method may further comprise the steps of:
and if the remaining quality guarantee period of the target commodity is smaller than the preset threshold value, controlling the unmanned vending vehicle to go to a third selling place with the expected sale amount larger than the remaining amount and the minimum time for going to, and adjusting the price of the target commodity according to the discount corresponding to the third selling place. The preset threshold may be a preset number of days threshold or a preset number of hours threshold, etc.
In the above-described location and price decision making, the sales of the inclusive commodity may be considered as a supplementary form of decision, considering that the unmanned aerial vehicle may sell other inclusive commodities in addition to the target commodity as a main commodity. If there are other goods in the target unmanned wagon, the step S110 may further include the following steps: if a plurality of second selling places with the same second expected loss amount exist, determining the consumption capacity of each second selling place for other commodities; and controlling the unmanned vending vehicle to go to a second vending place with highest consumption capacity.
Optionally, the consumption capacity of the other commodities can be determined by information such as income level of audience and crowd at the selling location, consumption habits, and the like, and will not be described herein again.
As another supplementary way of the above location and price decision, the distance between the selling location and the replenishment location or the charging location may be added to the decision process, and the shorter the distance is, the more favorable the replenishment or the charging is, so as to shorten the selling period of the goods and reduce the selling cost to a certain extent. The above method may further comprise the steps of: if a plurality of second selling places with the same second expected loss amount exist, determining the distance between each second selling place and a replenishment place or a charging place; and controlling the unmanned vending vehicle to travel to the second vending place with the minimum distance.
Fig. 2 is a schematic structural view of a control device of an unmanned vending vehicle according to an embodiment of the present invention, the device including:
a remaining quantity obtaining module 201, configured to obtain a remaining quantity of the target product in the unmanned vending vehicle at the current vending location;
an expected quantity obtaining module 202, configured to obtain expected sales quantities of the target product in different selling places in different selling time periods; the predicted sales amount comprises a predicted sales amount corresponding to a positive price and a predicted sales amount corresponding to a discount;
the first calculating module 203 is configured to calculate a first expected loss amount corresponding to the target product that finishes selling the remaining quantity at the first selling point when the remaining quantity is greater than the expected selling quantity at the positive price;
a second calculating module 204, configured to calculate a second expected loss amount corresponding to the target product that the unmanned vending vehicle goes to a second vending place and finishes vending the remaining amount of the target product;
and the selling control module 205 is used for controlling the unmanned selling vehicle to go to the second selling place for selling when the first expected loss amount is greater than the second expected loss amount, and controlling the unmanned selling vehicle to continue selling at the first selling place when the first loss amount is less than or equal to the second expected loss amount.
The control device of the unmanned selling vehicle provided by the embodiment can calculate the expected loss amount of the target commodity in each selling period of each selling place, can calculate the expected loss amount of the target commodity in the first selling place and the second selling place, and can control the unmanned selling vehicle to sell the target commodity in the selling place with the expected loss amount smaller, so that the commodity and the potential consumption demand are effectively combined, the attraction to consumers is improved according to local conditions, the commodity is sold as soon as possible, the selling cycle of the commodity in the unmanned selling machine is shortened, and the commodity waste is avoided.
Optionally, as an embodiment, the first calculating module 203 is specifically configured to:
if the residual quantity is larger than the predicted sales quantity corresponding to the discount, calculating a first product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a second product of the sales quantity difference and the positive price, and summing the first product and the second product to obtain a first predicted loss amount; the sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount; and if the residual quantity is less than or equal to the expected sales quantity corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain a first expected loss amount.
Optionally, as an embodiment, the second calculating module 204 is specifically configured to:
if the residual quantity is larger than the predicted sales quantity corresponding to the discount, calculating a third product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a fourth product of the sales quantity difference and the positive price, and summing the third product and the fourth product to obtain a discount loss amount; the sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount; if the residual quantity is less than or equal to the predicted sales volume corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain a discount loss amount; calculating a cost of traveling to a second point of sale; and adding the discount loss amount and the cost to obtain the second predicted loss amount.
Optionally, as an embodiment, the second calculating module 204 is specifically configured to:
calculating a first product of the discount loss amount and a discount weight coefficient, and a second product of the cost of traveling to the second selling location and a traveling loss weight coefficient; wherein the discount weight coefficient is positively correlated with the discount spread corresponding to the discount loss amount, and the driving loss weight coefficient is positively correlated with the driving duration; and adding the first product and the second product to obtain the second expected loss amount.
Optionally, as an embodiment, the vending control module 205 is further configured to:
and if the remaining quality guarantee period of the target commodity is smaller than a preset threshold value, controlling the unmanned vending vehicle to go to a third vending place with the predicted sale amount larger than the remaining amount and the minimum time for going to, and adjusting the price of the target commodity according to a discount corresponding to the third vending place.
Optionally, as an embodiment, the vending control module 205 is further configured to:
if a plurality of second selling places with the same second expected loss amount exist, determining the consumption capacity of each second selling place for other commodities; and controlling the unmanned vending vehicle to go to the second vending place with highest consumption capacity.
Optionally, as an embodiment, the vending control module 205 is further configured to:
if a plurality of second selling places with the same second expected loss amount exist, determining the distance between each second selling place and a replenishment place or a charging place; and controlling the unmanned vending vehicle to go to the second vending place with the minimum distance.
Optionally, as an embodiment, the apparatus further includes an expected sales determination module configured to:
acquiring historical sales amount corresponding to the positive price and historical sales amount corresponding to the discount of the unmanned vending vehicle in the vending place in a historical sales period; and determining the expected sales volume of the unmanned vending vehicle at the vending place according to the historical sales volume.
The embodiment also provides an unmanned vending vehicle, which comprises a controller and a commodity vending device; the controller is used for executing the control method provided by the above embodiment.
The present embodiment further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the processes of the control method embodiment, and can achieve the same technical effects, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
Of course, those skilled in the art will understand that all or part of the processes in the methods of the above embodiments may be implemented by instructing the control device to perform operations through a computer, and the programs may be stored in a computer-readable storage medium, and when executed, the programs may include the processes of the above method embodiments, where the storage medium may be a memory, a magnetic disk, an optical disk, and the like.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The control device and the unmanned vending vehicle disclosed by the embodiment correspond to the control method disclosed by the embodiment, so that the description is relatively simple, and the relevant points can be referred to the description of the method part.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. The present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of controlling an unmanned vend vehicle, the method comprising:
acquiring the residual quantity of target commodities in an unmanned vending vehicle at a first vending place;
acquiring the expected sales volume of the target commodity in each sales time period of different sales places; the predicted sales amount comprises a predicted sales amount corresponding to a positive price and a predicted sales amount corresponding to a discount;
when the residual quantity is larger than the expected sales quantity at the positive price, calculating a first expected loss amount corresponding to the target commodity which finishes selling the residual quantity at a first selling point;
calculating a second expected loss amount corresponding to the target commodities of which the left quantity is sold up when the unmanned selling vehicle goes to a second selling place;
when the first expected loss amount is larger than the second expected loss amount, the unmanned vending vehicle is controlled to go to the second vending place for vending, and when the first loss amount is smaller than or equal to the second expected loss amount, the unmanned vending vehicle is controlled to continue vending at the first vending place.
2. The method of claim 1, wherein calculating a first expected loss amount corresponding to the remaining quantity of the target item sold at the first point of sale comprises:
if the residual quantity is larger than the predicted sales quantity corresponding to the discount, calculating a first product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a second product of the sales quantity difference and the positive price, and summing the first product and the second product to obtain a first predicted loss amount; the sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount;
and if the residual quantity is less than or equal to the expected sales quantity corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain a first expected loss amount.
3. The method of claim 1, wherein said calculating a second expected loss amount corresponding to said unmanned vender traveling to a second vender for selling the remaining quantity of the target product comprises:
if the residual quantity is larger than the predicted sales quantity corresponding to the discount, calculating a third product of the predicted sales quantity corresponding to the discount and the discount spread, calculating a fourth product of the sales quantity difference and the positive price, and summing the third product and the fourth product to obtain a discount loss amount; the sales difference is the difference between the remaining quantity and the expected sales corresponding to the discount;
if the residual quantity is less than or equal to the predicted sales volume corresponding to the discount, calculating the product of the residual quantity and the discount spread to obtain a discount loss amount;
calculating a cost of traveling to a second point of sale;
and adding the discount loss amount and the cost to obtain the second predicted loss amount.
4. The method of claim 3, wherein said summing said discounted amount of loss and said cost to obtain said second projected amount of loss comprises:
calculating a first product of the discount loss amount and a discount weight coefficient, and a second product of the cost of traveling to the second selling location and a traveling loss weight coefficient; wherein the discount weight coefficient is positively correlated with the discount spread corresponding to the discount loss amount, and the driving loss weight coefficient is positively correlated with the driving duration;
and adding the first product and the second product to obtain the second expected loss amount.
5. The method according to claim 1 or 2, characterized in that the method further comprises:
and if the remaining quality guarantee period of the target commodity is smaller than a preset threshold value, controlling the unmanned vending vehicle to go to a third vending place with the predicted sale amount larger than the remaining amount and the minimum time for going to, and adjusting the price of the target commodity according to a discount corresponding to the third vending place.
6. The method of claim 1, wherein determining the vending mode of the unmanned vend vehicle if there are additional items in the unmanned vend vehicle comprises:
if a plurality of second selling places with the same second expected loss amount exist, determining the consumption capacity of each second selling place for other commodities;
and controlling the unmanned vending vehicle to go to the second vending place with highest consumption capacity.
7. The method of claim 1, further comprising:
if a plurality of second selling places with the same second expected loss amount exist, determining the distance between each second selling place and a replenishment place or a charging place;
and controlling the unmanned vending vehicle to go to the second vending place with the minimum distance.
8. The method of claims 1-7, further comprising:
acquiring historical sales amount corresponding to the positive price and historical sales amount corresponding to the discount of the unmanned vending vehicle in the vending place in a historical sales period;
and determining the expected sales volume of the unmanned vending vehicle at the vending place according to the historical sales volume.
9. A control device for an unmanned vender, the device comprising:
the system comprises a residual quantity obtaining module, a residual quantity obtaining module and a residual quantity obtaining module, wherein the residual quantity obtaining module is used for obtaining the residual quantity of target commodities in an unmanned selling vehicle at the current selling place;
the expected quantity obtaining module is used for obtaining expected sales quantity of the target commodity in each sales time period of different sales places; the predicted sales amount comprises a predicted sales amount corresponding to a positive price and a predicted sales amount corresponding to a discount;
the first calculation module is used for calculating a first expected loss amount corresponding to the target goods of which the residual quantity is sold at a first selling point when the residual quantity is larger than the expected selling quantity at the positive price;
the second calculation module is used for calculating a second expected loss amount corresponding to the target commodities of which the left quantity is sold up when the unmanned selling vehicle goes to a second selling place;
and the selling control module is used for controlling the unmanned selling vehicle to go to the second selling place for selling when the first expected loss amount is larger than the second expected loss amount, and controlling the unmanned selling vehicle to continue selling at the first selling place when the first loss amount is smaller than or equal to the second expected loss amount.
10. An unmanned vending vehicle is characterized by comprising a controller and a commodity vending device;
the controller is configured to perform the control method according to any one of claims 1 to 8.
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