CN116205554B - Mobile self-service vending equipment and vending control method - Google Patents

Mobile self-service vending equipment and vending control method Download PDF

Info

Publication number
CN116205554B
CN116205554B CN202310459486.4A CN202310459486A CN116205554B CN 116205554 B CN116205554 B CN 116205554B CN 202310459486 A CN202310459486 A CN 202310459486A CN 116205554 B CN116205554 B CN 116205554B
Authority
CN
China
Prior art keywords
order
distribution
mobile self
time
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310459486.4A
Other languages
Chinese (zh)
Other versions
CN116205554A (en
Inventor
张政
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Tianhai Technology Co ltd
Original Assignee
Zhejiang Tianhai Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Tianhai Technology Co ltd filed Critical Zhejiang Tianhai Technology Co ltd
Priority to CN202310459486.4A priority Critical patent/CN116205554B/en
Publication of CN116205554A publication Critical patent/CN116205554A/en
Application granted granted Critical
Publication of CN116205554B publication Critical patent/CN116205554B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0838—Historical data
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/009—User recognition or proximity detection
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/02—Devices for alarm or indication, e.g. when empty; Advertising arrangements in coin-freed apparatus

Landscapes

  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)

Abstract

The invention provides a mobile self-service vending device and a vending control method, which belong to the technical field of self-service devices and specifically comprise the following steps: the distribution time determining module is responsible for acquiring orders by using the mobile self-service vending equipment and determining distribution time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of the orders; the distribution determining module is responsible for determining whether distribution is required to be started or not based on distribution time, order obtaining time and order quantity of the mobile self-service vending equipment; the power consumption evaluation module is responsible for determining the distribution distance of the mobile self-service equipment through the destination of the order, and combining the historical distribution power consumption after the single order arrives at the destination to determine the power consumption of the mobile self-service equipment; the commodity output module is responsible for verifying the identity of a customer by utilizing the voice module to obtain an identity verification result, and outputting the commodity of the order when the identity verification result is true, so that the operation reliability of the automatic vending equipment is improved.

Description

Mobile self-service vending equipment and vending control method
Technical Field
The invention belongs to the technical field of self-service equipment, and particularly relates to mobile self-service vending equipment and a vending control method.
Background
In order to realize vending control of mobile self-service vending equipment, in the patent CN113313876B, a vending robot for mobile hotel provides goods to the position of a user, which is convenient for the shopping of the user, and carries out voice dialogue with the user, so as to remind the user to receive the purchased goods, thereby bringing good shopping experience to the user, but the following technical problems are existed:
1. the real-time monitoring of the electric quantity of the mobile self-service vending equipment is ignored, and the vending strategy is optimized according to the monitoring result of the electric quantity, for example, if the electric quantity of the mobile self-service vending equipment can not meet the delivery requirement, if delivery is still performed, delivery failure can be caused, so that the experience of a user is poor.
2. Without consideration of verifying the identity of the recipient in connection with, for example, a mobile self-service vending apparatus, if the identity of the recipient and the type of the item cannot be verified, unnecessary damage may occur.
Aiming at the technical problems, the invention provides a mobile self-service vending device and a vending control method.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the present invention, a vending control method is provided.
A vending control method, comprising:
acquiring the real-time electric quantity of the mobile self-service vending equipment, and entering the next step when the real-time electric quantity meets the requirement;
acquiring orders by using the mobile self-service vending equipment, determining distribution time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of orders, and entering the next step when the distribution is required to be started based on the distribution time, the order acquisition time and the quantity of orders of the mobile self-service vending equipment;
determining the distribution distance of the mobile self-service equipment and the basic power consumption through the destination of the order, determining the compensation power consumption through the distribution distance, the number of the order and the distribution time by adopting a model based on an NSGA-LSSVM algorithm, determining the power consumption of the mobile self-service equipment by combining the historical distribution power consumption after a single order arrives at the destination, and entering the next step when the real-time power consumption of the mobile self-service equipment meets the power consumption requirement;
and delivering through the mobile self-service vending equipment, verifying the identity of the customer by utilizing the voice module and the information of the order to obtain an identity verification result when the mobile self-service vending equipment reaches the destination of the order, and outputting the commodity of the order when the identity verification result is true.
On the other hand, the embodiment of the application provides a mobile self-service vending apparatus, which adopts the vending control method, and specifically includes:
an electric quantity acquisition module; a delivery time determining module; a distribution determining module; a power consumption evaluation module; a commodity output module;
the electric quantity acquisition module is responsible for acquiring the real-time electric quantity of the mobile self-service vending equipment;
the distribution time determining module is responsible for acquiring orders by using the mobile self-service vending equipment and determining distribution time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of the orders;
the distribution determining module is responsible for determining whether distribution is required to be started or not based on distribution time, order obtaining time and order quantity of the mobile self-service vending equipment;
the power consumption evaluation module is responsible for determining the distribution distance of the mobile self-service equipment through the destination of the order, and determining the power consumption of the mobile self-service equipment by combining the historical distribution power consumption after a single order arrives at the destination;
the commodity output module is responsible for verifying the identity of the customer by utilizing the voice module and the information of the order to obtain an identity verification result, and outputting the commodity of the order when the identity verification result is true.
In another aspect, the present invention provides a computer storage medium having a computer program stored thereon, which when executed in a computer causes the computer to perform a vending control method as described above.
The invention has the beneficial effects that:
through the real-time monitoring to the real-time electric quantity of mobile self-service vending equipment to avoid accepting the too slow technical problem of delivery time that the order led to when the electric quantity was too low, further promoted the operational reliability of mobile self-service vending equipment, also further promoted user's shopping experience simultaneously.
The distribution time is determined at least based on the destination of the order, the quantity of the articles of the single order and the quantity of the orders, and whether the distribution is required to be started or not is determined based on the distribution time, the order obtaining time and the order quantity of the mobile self-service vending equipment, so that the accurate evaluation of the distribution time from multiple angles and the determination of the starting distribution time are realized, the distribution time of a user from multiple angles is ensured, and meanwhile, the influence of unnecessary multiple distribution on the distribution time and the service life of the mobile self-service vending equipment is avoided.
The distribution distance of the mobile self-service equipment is determined through the destination of the order, and the power consumption of the mobile self-service equipment is determined by combining the historical distribution power consumption of a single order after the single order arrives at the destination, so that the power consumption of transportation, the output of products after the order arrives at the destination and the power consumption of communication with a user are both considered, and the accuracy and the comprehensiveness of power consumption assessment are ensured.
The identity of the customer is verified by utilizing the voice module and the information of the order to obtain an identity verification result, so that unnecessary goods loss is avoided, and the accuracy and pertinence of distribution are further ensured.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings;
FIG. 1 is a flow chart of a vending control method according to embodiment 1;
FIG. 2 is a flowchart of specific steps for delivery time determination according to example 1;
FIG. 3 is a flowchart of specific steps for determining that a dispense needs to be turned on according to embodiment 1;
FIG. 4 is a flowchart showing specific steps for determining the power consumption of the mobile self-service vending apparatus according to embodiment 1;
fig. 5 is a frame diagram of a mobile self-service vending apparatus according to embodiment 2.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.
The technical problems are summarized as follows:
the existing mobile self-service vending equipment ignores real-time monitoring of the electric quantity of the mobile self-service vending equipment, optimizes the vending strategy according to the monitoring result of the electric quantity, and meanwhile does not consider verifying the identity of a receiver in a combined manner, for example, if the mobile self-service vending equipment cannot verify the identity of the receiver and the type of an article, unnecessary goods loss can possibly occur.
Example 1
In order to solve the above problems, according to an aspect of the present invention, as shown in fig. 1, there is provided a vending control method according to an aspect of the present invention, including:
s11, acquiring real-time electric quantity of the mobile self-service vending equipment, and entering a step S12 when the real-time electric quantity meets the requirement;
the specific illustration is that when the real-time electric quantity of the mobile self-service vending apparatus is greater than an electric quantity operation requirement value, the mobile self-service vending apparatus is determined to meet the requirement, wherein the electric quantity operation requirement value is determined according to the average distribution time of single orders and the average distribution distance of single orders of the mobile self-service vending apparatus.
For the convenience of understanding, further, when the real-time electric quantity of the mobile self-service vending apparatus is less than 10%, the real-time electric quantity cannot meet the requirement.
In this embodiment, through the real-time monitoring to the real-time electric quantity of mobile self-service vending apparatus to avoid accepting the too slow technical problem of delivery time that the order leads to when the electric quantity is too low, further promoted the operational reliability of mobile self-service vending apparatus, also further promoted user's shopping experience simultaneously.
S12, acquiring orders by using the mobile self-service vending equipment, determining delivery time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of orders, and entering step S13 when the delivery needs to be started based on the delivery time, the order acquisition time and the quantity of orders of the mobile self-service vending equipment;
in this embodiment, the determination of the delivery time and the determination of the need to start delivery are to avoid the problem that the delivery time is too slow or the power consumption is increased due to frequent movement of the mobile self-service vending apparatus, if and only if the time from the last delivery, that is, the time for acquiring the order is longer than a certain time, or the delivery time is too long, or the number of orders is too large, the delivery is started, and in the actual operation process, the determination can be further performed by combining other types of data.
For ease of understanding, in a specific embodiment, as shown in fig. 2, the specific steps of determining the delivery time are:
s21, determining a destination of each order based on the destination of the order, generating a distribution track based on the destination of each order, and determining a basic distribution time of the mobile self-service vending equipment based on the distribution track;
specifically, in the actual operation process, similar distribution of orders in rooms a/B/C, for example, may occur, and it is necessary to determine the distribution track of the mobile vending apparatus from far to near according to the distance between rooms a/B/C and further combine the moving speed of the mobile vending apparatus according to the distribution track, so as to determine the basic distribution time.
S22, determining the time consumption of the mobile self-service vending equipment after reaching a destination corresponding to the single order based on the number of the articles of the single order, and obtaining the estimated delivery time of the mobile self-service vending equipment by combining the basic delivery time;
it will be appreciated that when the mobile self-service vending apparatus reaches the destination to which the individual order corresponds, authentication of the customer and distribution of the item to the customer are also required, and therefore a certain time is also required.
S23, determining an order with the number of the articles being larger than the basic number based on the number of the articles of the single order, taking the order as a screening order, determining whether the estimated delivery time needs to be corrected based on the number of the screening order and the number of the orders, if so, entering a step S24, and if not, taking the estimated delivery time as the delivery time;
it can be understood that when the number of the screened orders and the number of the orders are large, the delivery time of the single order of the user is inevitably increased, and meanwhile, the delivery time of the single order is also possibly increased due to other factors, so that further correction of the delivery time is required, on the other hand, the correction amount can be constructed by establishing a mapping table, wherein the correction amount is determined as shown in table 1;
table 1 determination of correction amount
Specifically, for example, if the number of screening orders is 3, the number of orders is 5, and the correction amount at this time is 1+3, that is, 4 minutes.
And S24, correcting the estimated delivery time based on the quantity of the screening orders and the quantity of the orders to obtain the delivery time.
During actual operation, the correction amount may be constructed by constructing an empirical formula using the number of the screening orders and the number of the orders, and the delivery time may be determined based on the sum of the correction amount and the predicted delivery time.
Specifically, the determining the time consumption of the mobile self-service vending apparatus after reaching the destination corresponding to the single order specifically includes:
determining similar historical orders according to the number of the articles of the single order;
and determining the time consumption of the mobile self-service vending equipment after reaching the destination corresponding to the single order based on the average time consumption of the similar historical orders after the mobile self-service vending equipment reaches the destination corresponding to the similar historical orders.
For ease of understanding, in another possible embodiment, as shown in FIG. 3, the specific steps for determining that a dispense needs to be turned on are:
s31, acquiring order acquiring time of the mobile self-service vending equipment, and entering a step S32 when the order acquiring time determines that the distribution does not need to be started;
it should be noted that, when the order is acquired for too long, the delivery needs to be started at this time, so as to avoid the problem of too long waiting time of the customer.
S32, acquiring the order number of the mobile self-service vending equipment, determining that the distribution is not required to be started according to the order number, and entering a step S33;
it should be noted that, when the number of orders in the mobile self-service vending apparatus is too large, the dispensing needs to be started at this time, so as to avoid the problem of too long waiting time of customers.
S33, acquiring order amount of the mobile self-service vending equipment, and entering step S34 when the order amount determines that the distribution does not need to be started;
it should be noted that, when the amount of the order of the mobile self-service vending apparatus is too large, the dispensing is required to be started at this time, so as to avoid the problem of too long waiting time of the customer.
S34, acquiring the distribution time of the mobile self-service vending equipment, and entering step S34 when the distribution time is determined to be not required to be started;
it should be noted that, when the delivery time of the mobile self-service vending apparatus is too long, the delivery needs to be started at this time, so as to avoid the problem of too long waiting time of the customer.
S35, determining a distribution evaluation value of the mobile self-service vending equipment based on the distribution time, the order acquisition time and the order quantity of the mobile self-service vending equipment, and determining whether distribution needs to be started or not based on the distribution evaluation value.
It will be appreciated that when the delivery evaluation value is large, it is indicated that delivery needs to be started at this time, otherwise, the waiting time of the user may be too long, so that the experience degree is poor.
Specifically, if and only if the time of acquiring the order, the amount of the order and the number of the orders are all determined that the distribution is not required to be started, the distribution time of the mobile self-service vending equipment is determined.
In this embodiment, the distribution time is determined at least based on the destination of the order, the number of items of a single order, and the number of orders, and whether the distribution needs to be started is determined based on the distribution time, the order acquisition time, and the number of orders of the mobile self-service vending apparatus, so that accurate evaluation of the distribution time from multiple angles and determination of the starting distribution time are realized, the distribution time of the user from multiple angles is ensured, and meanwhile, the influence of unnecessary multiple distribution on the distribution time and the service life of the mobile self-service vending apparatus is avoided.
S13, determining the distribution distance of the mobile self-service equipment and the basic power consumption through the destination of the order, determining the compensation power consumption through the distribution distance, the order quantity and the distribution time by adopting a model based on an NSGA-LSSVM algorithm, determining the power consumption of the mobile self-service equipment by combining the historical distribution power consumption after a single order arrives at the destination, and entering a step S14 when the real-time power consumption of the mobile self-service equipment meets the power consumption requirement;
in this embodiment, in order to avoid that the real-time electric quantity of the mobile vending apparatus cannot meet the requirement of power consumption of a single delivery when the mobile vending apparatus delivers, the power consumption of the mobile vending apparatus can meet the requirement of power consumption of the current delivery by determining the delivery distance and the historical delivery power consumption of the delivery of the commodity communicated with the user after reaching the destination.
It should be further noted that, as shown in fig. 4, the specific steps for determining the power consumption of the mobile self-service vending apparatus are as follows:
s41, determining a destination of each order, generating a distribution track based on the destination of each order, determining the distribution distance of the mobile self-service equipment based on the distribution track, and determining the basic power consumption based on the distribution distance;
s42, obtaining the historical distribution power consumption after the single order reaches the order destination, determining other power consumption by combining the order quantity, and obtaining corrected basic power consumption based on the other power consumption and the basic power consumption;
and S43, based on the distribution distance, the order number and the distribution time of the mobile self-service vending equipment, adopting a model based on an NSGA-LSSVM algorithm to determine the compensation power consumption, and determining the power consumption of the mobile self-service vending equipment based on the compensation power consumption and the correction basic power consumption.
Specifically, the compensation power consumption is related to the delivery distance, the number of orders and the delivery time, wherein when the delivery distance is longer, the number of orders is larger and the delivery time is longer, the compensation power consumption is larger.
In one or more embodiments, the compensation power consumption may be determined using a model based on NSGA-LSSVM algorithm, where the specific steps of determining are:
step1: and (5) normalizing the data set. And normalizing the distribution distance, the order number and the distribution time of the mobile self-service vending equipment as a data set. According to the objective function f 1 (a) A training set and a testing set are constructed.
Step2: setting an objective function. Using the mean square error between the actual value and the LSSVM predictive valueMean Square Error, MSE) as a prediction error to establish an objective functionThe method comprises the following steps:
in (1) the->For penalty parameters, delta is core parameter, C i * As a predicted value, C i For the actual value, n is the number of data in the training set, and i is the ith data in the training set.
Step3: setting target optimization parameters, selecting population scale as 30, maximum iteration number as 200, variable number as 3 and target function number as 2.
Step4: entering an NSGA-LSSVM optimizing flow, adopting an NSGA algorithm, and using an objective function f 1 (a) Andsimultaneously, optimizing LSSVM parameters at minimum; iterating; until the stopping condition is met; outputting a Pareto solution set curve; and selecting an optimal Pareto solution to obtain the optimal parameters.
Step5: a stop condition is determined. Assuming that two Pareto solution sets are separated by GAP (representing the algebra of separation), the two populations are referred to as adjacent GAP generation populations. If the adjacent GAP generation population distance is less than the minimum distance of an acceptable adjacent GAP generation population, then it is considered to be stable and the algorithm stops with this stability maintained for T consecutive times. The values of GAP and T affect the calculation amount of the algorithm and reduce the iteration number, in the invention, GAP is set to 2, and T is set to 5.
It should be noted that, with the comparison analysis prediction result, the improved correlation coefficient R is used as the performance evaluation standard, and the calculation formula is as follows:
、/>the actual value average value and the predicted value average value are respectively.
In this embodiment, the distribution distance of the mobile self-service vending apparatus is determined by the destination of the order, and the power consumption of the mobile self-service vending apparatus is determined by combining the historical distribution power consumption after the single order arrives at the destination, so that the power consumption of transportation, the output of the product after arriving at the destination and the power consumption of communication with the user are both considered, and the accuracy and the comprehensiveness of power consumption assessment are ensured.
S14, delivering through the mobile self-service vending equipment, when the mobile self-service vending equipment reaches the destination of the order, verifying the identity of the customer by utilizing the voice module and the information of the order to obtain an identity verification result, and outputting the commodity of the order when the identity verification result is true.
It will be appreciated that in one or more embodiments of the present description, the determination of the authentication result includes the following:
determining the destination of the order by using the camera equipment of the mobile self-service vending equipment to obtain a destination determination result, and entering the next step when the destination determination result is true;
and outputting order verification information by utilizing the voice module of the mobile self-service vending equipment, acquiring the order verification information output by the customer, and determining an identity verification result by utilizing the order verification information output by the customer.
The order verification information includes, but is not limited to, the number of items in the order, the type of the items, the time of placing the order, and personal information of the customer.
In this embodiment, the identity of the customer is verified by using the voice module and the information of the order to obtain the identity verification result, so that unnecessary goods loss is avoided, and the accuracy and pertinence of distribution are further ensured.
Example 2
On the other hand, as shown in fig. 5, in an embodiment of the present application, a mobile self-service vending apparatus is provided, and the vending control method includes:
an electric quantity acquisition module; a delivery time determining module; a distribution determining module; a power consumption evaluation module; a commodity output module;
the electric quantity acquisition module is responsible for acquiring the real-time electric quantity of the mobile self-service vending equipment;
the distribution time determining module is responsible for acquiring orders by using the mobile self-service vending equipment and determining distribution time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of the orders;
the distribution determining module is responsible for determining whether distribution is required to be started or not based on distribution time, order obtaining time and order quantity of the mobile self-service vending equipment;
the power consumption evaluation module is responsible for determining the distribution distance of the mobile self-service equipment through the destination of the order, and determining the power consumption of the mobile self-service equipment by combining the historical distribution power consumption after a single order arrives at the destination;
the method for determining the power consumption of the mobile self-service vending equipment specifically comprises the following steps of:
determining a destination of each order, generating a distribution track based on the destination of each order, determining a distribution distance of the mobile self-service equipment based on the distribution track, and determining basic power consumption based on the distribution distance;
the historical distribution power consumption after the single order reaches the order destination is obtained, other power consumption is determined by combining the order quantity, and the corrected basic power consumption is obtained based on the other power consumption and the basic power consumption;
and based on the distribution distance, the order number and the distribution time of the mobile self-service vending equipment, adopting a model based on an NSGA-LSSVM algorithm to determine the compensation power consumption, and determining the power consumption of the mobile self-service vending equipment based on the compensation power consumption and the correction basic power consumption.
The commodity output module is responsible for verifying the identity of the customer by utilizing the voice module and the information of the order to obtain an identity verification result, and outputting the commodity of the order when the identity verification result is true.
Example 3
In another aspect, the present invention provides a computer storage medium having a computer program stored thereon, which when executed in a computer causes the computer to perform a vending control method as described above.
It should be noted that, the vending control method specifically includes:
acquiring orders by using the mobile self-service vending equipment, determining distribution time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of orders, and judging power consumption when the distribution is required to be started based on the distribution time, the order acquisition time and the quantity of orders of the mobile self-service vending equipment;
determining the distribution distance of the mobile self-service equipment through the destination of the order, combining the historical distribution power consumption after a single order arrives at the destination, determining the power consumption of the mobile self-service equipment, and distributing through the mobile self-service equipment when the real-time power consumption of the mobile self-service equipment meets the power consumption requirement;
the specific steps of determining the delivery time are as follows:
determining a destination of each order based on the destination of the order, generating a distribution track based on the destination of each order, and determining a basic distribution time of the mobile self-service equipment based on the distribution track;
specifically, in the actual operation process, similar distribution of orders in rooms a/B/C, for example, may occur, and it is necessary to determine the distribution track of the mobile vending apparatus from far to near according to the distance between rooms a/B/C and further combine the moving speed of the mobile vending apparatus according to the distribution track, so as to determine the basic distribution time.
Determining the time consumption of the mobile self-service vending equipment after reaching a destination corresponding to the single order based on the number of the articles of the single order, and obtaining the estimated delivery time of the mobile self-service vending equipment by combining the basic delivery time;
it will be appreciated that when the mobile self-service vending apparatus reaches the destination to which the individual order corresponds, authentication of the customer and distribution of the item to the customer are also required, and therefore a certain time is also required.
And determining an order with the number of the articles being larger than the basic number based on the number of the articles of the single order, taking the order as a screening order, determining whether the estimated delivery time needs to be corrected based on the number of the screening order and the number of the orders, and correcting the estimated delivery time based on the number of the screening order and the number of the orders to obtain the delivery time.
When the destination of the order is reached, the identity of the customer is verified by utilizing the voice module and the information of the order to obtain an identity verification result, and when the identity verification result is true, the commodity of the order is output.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.

Claims (8)

1. A vending control method, comprising:
acquiring the real-time electric quantity of the mobile self-service vending equipment, and entering the next step when the real-time electric quantity meets the requirement;
acquiring orders by using the mobile self-service vending equipment, determining distribution time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of orders, and entering the next step when the distribution is required to be started based on the distribution time, the order acquisition time and the quantity of orders of the mobile self-service vending equipment;
the specific steps of the distribution time determination are as follows:
determining a destination of each order based on the destination of the order, generating a distribution track based on the destination of each order, and determining a basic distribution time of the mobile self-service equipment based on the distribution track;
determining the time consumption of the mobile self-service vending equipment after reaching a destination corresponding to the single order based on the number of the articles of the single order, and obtaining the estimated delivery time of the mobile self-service vending equipment by combining the basic delivery time;
determining an order with the number of the articles larger than the basic number based on the number of the articles of the single order, taking the order as a screening order, determining whether the estimated delivery time needs to be corrected based on the number of the screening order and the number of the orders, if so, correcting the estimated delivery time based on the number of the screening order and the number of the orders to obtain the delivery time, and if not, taking the estimated delivery time as the delivery time;
the specific steps for determining that the distribution needs to be started are as follows:
acquiring order acquiring time of the mobile self-service equipment, acquiring order quantity of the mobile self-service equipment when the order acquiring time determines that the distribution is not required to be started, acquiring order amount of the mobile self-service equipment when the order quantity determines that the distribution is not required to be started, and entering a next step when the order amount determines that the distribution is not required to be started;
acquiring the delivery time of the mobile self-service vending equipment, determining whether delivery is required to be started or not based on the delivery time, the acquired order time and the order quantity of the mobile self-service vending equipment when the delivery is not required to be started according to the delivery time;
determining the distribution distance of the mobile self-service equipment and the basic power consumption through the destination of the order, determining the compensation power consumption through the distribution distance, the number of the order and the distribution time by adopting a model based on an NSGA-LSSVM algorithm, determining the power consumption of the mobile self-service equipment by combining the historical distribution power consumption after a single order arrives at the destination, and entering the next step when the real-time power consumption of the mobile self-service equipment meets the power consumption requirement;
the specific steps of determining the power consumption of the mobile self-service vending equipment are as follows:
determining a destination of each order, generating a distribution track based on the destination of each order, determining a distribution distance of the mobile self-service equipment based on the distribution track, and determining basic power consumption based on the distribution distance;
the historical distribution power consumption after the single order reaches the order destination is obtained, other power consumption is determined by combining the order quantity, and the corrected basic power consumption is obtained based on the other power consumption and the basic power consumption;
based on the distribution distance, the order number and the distribution time of the mobile self-service vending equipment, adopting a model based on an NSGA-LSSVM algorithm to determine compensation power consumption, and determining the power consumption of the mobile self-service vending equipment based on the compensation power consumption and the correction basic power consumption;
the compensation power consumption can be determined by adopting a model based on an NSGA-LSSVM algorithm, wherein the specific steps of the determination are as follows:
step1: normalizing the data set; normalizing the distribution distance, the order number and the distribution time of the mobile self-service vending equipment as a data set; according to the objective function f 1 (a) Constructing a training set and a testing set;
step2: setting an objective function; establishing an objective function using the mean square error (Mean Square Error, MSE) between the actual value and the LSSVM predicted value as the prediction errorThe method comprises the following steps: />In (1) the->For penalty parameters, delta is core parameter, C i * As a predicted value, C i N is the number of data of the training set, i is the ith data of the training set;
step3: setting target optimization parameters, selecting a population scale of 30, a maximum iteration number of 200, a variable number of 3 and a target function number of 2;
step4: entering an NSGA-LSSVM optimizing flow, adopting an NSGA algorithm, and using an objective function f 1 (a) Andsimultaneously, optimizing LSSVM parameters at minimum; iterating; until the stopping condition is met;outputting a Pareto solution set curve; selecting an optimal Pareto solution to obtain optimal parameters;
step5: determining a stop condition; assuming that two Pareto solution sets are separated by GAP (representing the separation algebra), then these two populations are referred to as adjacent GAP generation populations; if the adjacent GAP generation population distance is less than the minimum acceptable adjacent GAP generation population distance, the algorithm is deemed to be stable and is stopped if such stability is maintained for T consecutive times; GAP and T can influence the calculated amount of the algorithm and reduce the iteration number, in the invention, GAP is set to 2, and T is set to 5;
and delivering through the mobile self-service vending equipment, verifying the identity of the customer by utilizing the voice module and the information of the order to obtain an identity verification result when the mobile self-service vending equipment reaches the destination of the order, and outputting the commodity of the order when the identity verification result is true.
2. The vending control method of claim 1, wherein when the real-time power of the mobile self-service vending apparatus is greater than a power operation requirement value, the mobile self-service vending apparatus is determined to meet the requirement, wherein the power operation requirement value is determined according to an average delivery time of a single order and an average delivery distance of the single order of the mobile self-service vending apparatus.
3. The vending control method according to claim 1, wherein the determining of the time consumption of the mobile self-service vending apparatus after reaching the destination corresponding to the single order comprises:
determining similar historical orders according to the number of the articles of the single order;
and determining the time consumption of the mobile self-service vending equipment after reaching the destination corresponding to the single order based on the average time consumption of the similar historical orders after the mobile self-service vending equipment reaches the destination corresponding to the similar historical orders.
4. The vending control method of claim 1, wherein the determination of the dispensing time of the mobile self-service vending apparatus is made if and only if it is determined that no dispensing is required by the acquisition order time, the order amount, the order quantity.
5. The vending control method of claim 1, wherein said compensation power consumption is related to said delivery distance, number of orders, and delivery time, wherein said compensation power consumption is greater as said delivery distance is longer, said number of orders is greater, and said delivery time is longer.
6. The vending control method as recited in claim 1, wherein the authentication result is determined by:
determining the destination of the order by using the camera equipment of the mobile self-service vending equipment to obtain a destination determination result, and entering the next step when the destination determination result is true;
and outputting order verification information by utilizing the voice module of the mobile self-service vending equipment, acquiring the order verification information output by the customer, and determining an identity verification result by utilizing the order verification information output by the customer.
7. The vending control method of claim 1, wherein said order verification information includes, but is not limited to, the number of items ordered, the type of items, the time of placement, and personal information of the customer.
8. A mobile self-service vending apparatus employing a vending control method as claimed in any one of claims 1 to 7, comprising in particular:
an electric quantity acquisition module; a delivery time determining module; a distribution determining module; a power consumption evaluation module; a commodity output module;
the electric quantity acquisition module is responsible for acquiring the real-time electric quantity of the mobile self-service vending equipment;
the distribution time determining module is responsible for acquiring orders by using the mobile self-service vending equipment and determining distribution time at least based on the destination of the orders, the quantity of articles of single orders and the quantity of the orders;
the distribution determining module is responsible for determining whether distribution is required to be started or not based on distribution time, order obtaining time and order quantity of the mobile self-service vending equipment;
the power consumption evaluation module is responsible for determining the distribution distance of the mobile self-service equipment through the destination of the order, and determining the power consumption of the mobile self-service equipment by combining the historical distribution power consumption after a single order arrives at the destination;
the commodity output module is responsible for verifying the identity of the customer by utilizing the voice module and the information of the order to obtain an identity verification result, and outputting the commodity of the order when the identity verification result is true.
CN202310459486.4A 2023-04-26 2023-04-26 Mobile self-service vending equipment and vending control method Active CN116205554B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310459486.4A CN116205554B (en) 2023-04-26 2023-04-26 Mobile self-service vending equipment and vending control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310459486.4A CN116205554B (en) 2023-04-26 2023-04-26 Mobile self-service vending equipment and vending control method

Publications (2)

Publication Number Publication Date
CN116205554A CN116205554A (en) 2023-06-02
CN116205554B true CN116205554B (en) 2024-02-09

Family

ID=86507996

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310459486.4A Active CN116205554B (en) 2023-04-26 2023-04-26 Mobile self-service vending equipment and vending control method

Country Status (1)

Country Link
CN (1) CN116205554B (en)

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205353316U (en) * 2015-12-03 2016-06-29 杨珊珊 Electronic unmanned aerial vehicle
CN107274038A (en) * 2017-07-31 2017-10-20 上海电力学院 A kind of LSSVM Prediction of annual electricity consumption methods optimized based on ant lion
CN108898345A (en) * 2018-07-05 2018-11-27 北京智行者科技有限公司 One kind sending operational method with charge free
CN109063892A (en) * 2018-06-25 2018-12-21 华北电力大学 Industry watt-hour meter prediction technique based on BP-LSSVM combination optimization model
CN109146361A (en) * 2018-07-25 2019-01-04 智慧式控股有限公司 A kind of unmanned goods stock of wisdom formula, shared system and business model
CN109190705A (en) * 2018-09-06 2019-01-11 深圳码隆科技有限公司 Self-service method, apparatus and system
CN110610333A (en) * 2019-08-21 2019-12-24 深圳易马达科技有限公司 Method and terminal for planning path
CN110838205A (en) * 2019-11-21 2020-02-25 大连开尔文科技有限公司 Automatic vending method, automatic vending machine and server
KR102100592B1 (en) * 2019-09-02 2020-04-13 정종욱 Method and stystem for providing delivery order service
CN111224443A (en) * 2020-02-05 2020-06-02 广州赛特智能科技有限公司 Big data based distribution robot charging method and system and processing terminal
CN112069656A (en) * 2020-08-07 2020-12-11 湖北交投十巫高速公路有限公司 Durable concrete mix proportion multi-objective optimization method based on LSSVM-NSGAII
CN112512943A (en) * 2019-02-01 2021-03-16 松下电器（美国）知识产权公司 Information processing method and information processing system
CN112782588A (en) * 2020-12-30 2021-05-11 深圳市加码能源科技有限公司 SOC online monitoring method based on LSSVM and storage medium thereof
CN113256217A (en) * 2021-06-11 2021-08-13 北京之前科技有限公司 Method, equipment and system for carrying out article distribution by using hotel robot
CN113313876A (en) * 2021-05-26 2021-08-27 北京云迹科技有限公司 Mobile hotel vending robot
CN114254801A (en) * 2021-11-09 2022-03-29 清华大学 Industrial user power consumption long-term prediction method and device based on similarity measurement
CN114511272A (en) * 2022-02-27 2022-05-17 浙江工业大学 Solving algorithm for optimizing unmanned aerial vehicle distribution network for city instant distribution
CN115439188A (en) * 2022-09-08 2022-12-06 上海有个机器人有限公司 Method and system for helping to buy goods in intelligent container by robot and related product

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205353316U (en) * 2015-12-03 2016-06-29 杨珊珊 Electronic unmanned aerial vehicle
CN107274038A (en) * 2017-07-31 2017-10-20 上海电力学院 A kind of LSSVM Prediction of annual electricity consumption methods optimized based on ant lion
CN109063892A (en) * 2018-06-25 2018-12-21 华北电力大学 Industry watt-hour meter prediction technique based on BP-LSSVM combination optimization model
CN108898345A (en) * 2018-07-05 2018-11-27 北京智行者科技有限公司 One kind sending operational method with charge free
CN109146361A (en) * 2018-07-25 2019-01-04 智慧式控股有限公司 A kind of unmanned goods stock of wisdom formula, shared system and business model
CN109190705A (en) * 2018-09-06 2019-01-11 深圳码隆科技有限公司 Self-service method, apparatus and system
CN112512943A (en) * 2019-02-01 2021-03-16 松下电器（美国）知识产权公司 Information processing method and information processing system
CN110610333A (en) * 2019-08-21 2019-12-24 深圳易马达科技有限公司 Method and terminal for planning path
KR102100592B1 (en) * 2019-09-02 2020-04-13 정종욱 Method and stystem for providing delivery order service
CN110838205A (en) * 2019-11-21 2020-02-25 大连开尔文科技有限公司 Automatic vending method, automatic vending machine and server
CN111224443A (en) * 2020-02-05 2020-06-02 广州赛特智能科技有限公司 Big data based distribution robot charging method and system and processing terminal
CN112069656A (en) * 2020-08-07 2020-12-11 湖北交投十巫高速公路有限公司 Durable concrete mix proportion multi-objective optimization method based on LSSVM-NSGAII
CN112782588A (en) * 2020-12-30 2021-05-11 深圳市加码能源科技有限公司 SOC online monitoring method based on LSSVM and storage medium thereof
CN113313876A (en) * 2021-05-26 2021-08-27 北京云迹科技有限公司 Mobile hotel vending robot
CN113256217A (en) * 2021-06-11 2021-08-13 北京之前科技有限公司 Method, equipment and system for carrying out article distribution by using hotel robot
CN114254801A (en) * 2021-11-09 2022-03-29 清华大学 Industrial user power consumption long-term prediction method and device based on similarity measurement
CN114511272A (en) * 2022-02-27 2022-05-17 浙江工业大学 Solving algorithm for optimizing unmanned aerial vehicle distribution network for city instant distribution
CN115439188A (en) * 2022-09-08 2022-12-06 上海有个机器人有限公司 Method and system for helping to buy goods in intelligent container by robot and related product

Also Published As

Publication number Publication date
CN116205554A (en) 2023-06-02

Similar Documents

Publication Publication Date Title
US20240116388A1 (en) Real-time electric vehicle fleet management
US20230050802A1 (en) System and Method of Simultaneous Computation of Optimal Order Point and Optimal Order Quantity
US8094005B2 (en) Asset performance optimization
Rakhmonov et al. Power consumption management from the positions of the general system theory
US20080201182A1 (en) Method for determining an aggregated forecast deviation
US11036250B2 (en) Datacenter stabilization of regional power grids
US20220358451A1 (en) Automated inventory management method and system thereof
US8285582B2 (en) Automatic calculation of forecast response factor
US10380706B2 (en) Equipment management apparatus
WO2014052243A1 (en) Fuel cell fleet optimization
CN112215546B (en) Object page generation method, device, equipment and storage medium
US11138679B2 (en) Management method and management apparatus
US9438039B2 (en) Demand response determination apparatus and method for determining a power threshold using an over-consumption false positive rate and unloading electric power equipment when the power threshold is exceeded
CN113962631A (en) Management method of fresh food distribution platform
KR20210014907A (en) Method for determining orders ranking of Raw Materials connecting Storage Administerating System
CN116205554B (en) Mobile self-service vending equipment and vending control method
CN116433158A (en) Dynamic commodity inventory management system and method based on cloud computing
KR20210014432A (en) Method for accurate estimating demand of Raw Materials Using System for estimating demand of Raw Materials
US20020188529A1 (en) System and method for calculation of controlling parameters for a computer based inventory management
Boute et al. Performance evaluation of a production/inventory system with periodic review and endogenous lead times
US20200380453A1 (en) Systems and methods for intelligent inventory management across network of vending machines
JP2010128816A5 (en)
CN110390545A (en) Transport power pricing method, device, server and computer readable storage medium
CN110070247A (en) Logistics information processing method and device
KR102573036B1 (en) Ai optimal trading control system for reducing electricity bills

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant