CN112905409A - Abnormity solving method and device for automatic vending equipment - Google Patents

Abnormity solving method and device for automatic vending equipment Download PDF

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Publication number
CN112905409A
CN112905409A CN202110051134.6A CN202110051134A CN112905409A CN 112905409 A CN112905409 A CN 112905409A CN 202110051134 A CN202110051134 A CN 202110051134A CN 112905409 A CN112905409 A CN 112905409A
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China
Prior art keywords
vending
target
abnormal
exception
information
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Chinese (zh)
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杨凯然
刘天雄
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Guangzhou Leyaoyao Information Technology Co ltd
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Guangzhou Leyaoyao Information Technology Co ltd
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Priority to CN202110051134.6A priority Critical patent/CN112905409A/en
Publication of CN112905409A publication Critical patent/CN112905409A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • 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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063114—Status monitoring or status determination for a person or group
    • 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
    • G06Q10/20—Administration of product repair or maintenance

Abstract

The invention discloses an abnormity solving method and device of automatic vending equipment, wherein the method comprises the following steps: receiving abnormal information reported by a target automatic vending device in each automatic vending device, wherein the abnormal information at least comprises a fault code; determining an abnormal classification corresponding to the abnormal information; determining an exception resolution strategy corresponding to the target vending equipment based on the monitoring information, the exception classification and the fault code corresponding to the target vending equipment; and executing an exception resolution operation on the target automatic vending equipment according to the exception resolution strategy. The invention can improve the effect of solving the abnormity.

Description

Abnormity solving method and device for automatic vending equipment
Technical Field
The invention relates to the field of electronic equipment, in particular to a method and a device for solving the abnormity of automatic vending equipment.
Background
At present, with the popularization of the automatic vending equipment, people can select commodities to be purchased through the automatic vending equipment, and after payment is successful, the automatic vending equipment can automatically deliver the commodities.
The mode of carrying out artifical supervision to the automatic vending equipment is found in practice, is difficult to the automatic vending equipment of supervision quantity, and the abnormal conditions of automatic vending equipment often appears is not by the phenomenon of in time discovering to lead to unusual solution effect poor.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an abnormity solving method and device of automatic vending equipment, which at least improve abnormity solving effect.
According to an aspect of an embodiment of the present invention, there is provided a method for solving an abnormality of a vending machine, including: receiving abnormal information reported by a target automatic vending device in each automatic vending device, wherein the abnormal information at least comprises a fault code; determining an abnormality classification corresponding to the abnormality information; determining an exception resolution strategy corresponding to the target vending equipment based on the monitoring information corresponding to the target vending equipment, the exception classification and the fault code; and executing an exception resolution operation on the target automatic vending equipment according to the exception resolution strategy.
As an optional implementation manner, the determining an exception resolution policy corresponding to the target vending device based on the monitoring information corresponding to the target vending device, the exception classification, and the fault code includes: determining an abnormal component of the target vending equipment based on the monitoring information corresponding to the target vending equipment and the fault code; and determining an abnormality solution strategy matched with the abnormal component as the abnormality solution strategy corresponding to the target vending equipment in each abnormality solution strategy corresponding to the abnormality classification.
As an optional implementation manner, the receiving of the abnormal information reported by the target vending device in each vending device includes: in response to the fact that the monitoring information corresponding to the target vending equipment indicates that the target vending equipment is abnormal, sending an acquisition instruction to the target vending equipment, wherein the acquisition instruction is used for indicating to acquire the abnormal information of the target vending equipment; and receiving the abnormal information returned by the target automatic vending equipment based on the acquisition instruction.
As an optional implementation manner, after performing the exception resolution operation on the target vending device according to the exception resolution policy, the method further includes: obtaining the selling data of the target automatic selling equipment; based on the vending data and the vending data of other vending devices, a vending statistic result is determined.
As an optional implementation, the method further includes: acquiring abnormal information of each automatic vending device and a corresponding abnormal solving strategy; and estimating the service life of each automatic vending device according to the abnormal information of each automatic vending device and the corresponding abnormal solution strategy.
According to another aspect of the embodiments of the present invention, there is also provided an abnormality solving apparatus for a vending machine, including: the system comprises an information receiving unit, a display unit and a display unit, wherein the information receiving unit is configured to receive abnormal information reported by a target automatic vending device in each automatic vending device, and the abnormal information at least comprises fault codes; a classification determination unit configured to determine an abnormality classification corresponding to the abnormality information; a policy determining unit configured to determine an exception resolution policy corresponding to the target vending device based on the monitoring information corresponding to the target vending device, the exception classification, and the fault code; and an exception resolution unit configured to perform an exception resolution operation on the target vending device according to the exception resolution policy.
As an optional implementation, the policy determining unit is further configured to: determining an abnormal component of the target vending equipment based on the monitoring information corresponding to the target vending equipment and the fault code; and determining an abnormality solution strategy matched with the abnormal component as the abnormality solution strategy corresponding to the target vending equipment in each abnormality solution strategy corresponding to the abnormality classification.
As an optional implementation manner, the information receiving unit is further configured to: in response to the fact that the monitoring information corresponding to the target vending equipment indicates that the target vending equipment is abnormal, sending an acquisition instruction to the target vending equipment, wherein the acquisition instruction is used for indicating to acquire the abnormal information of the target vending equipment; and receiving the abnormal information returned by the target automatic vending equipment based on the acquisition instruction.
As an optional implementation, the apparatus further includes: a data obtaining unit configured to obtain vending data of the target vending device after performing an anomaly resolution operation on the target vending device according to the anomaly resolution policy; and a result determining unit configured to determine a vending statistic result based on the vending data and vending data of other vending devices.
As an optional implementation, the apparatus further includes: the above-mentioned device still includes: an information acquisition unit configured to acquire abnormality information of each vending apparatus and a corresponding abnormality resolution policy; and the service life estimating unit is configured to estimate the service life of each automatic vending device according to the abnormal information of each automatic vending device and the corresponding abnormal solving strategy.
According to another aspect of the embodiments of the present invention, there is also provided an abnormality solving apparatus for a vending machine, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the abnormality solving method for the vending machine through the computer program.
According to still another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for resolving an abnormality of a vending apparatus when the computer program runs.
In the embodiment of the invention, the abnormal information reported by the abnormal target automatic vending equipment can be received, and the abnormal classification corresponding to the abnormal information is determined, so that the corresponding abnormal solving strategy is determined according to the monitoring information, the abnormal classification and the fault code of the target automatic vending equipment. The abnormity solving operation executed on the target automatic vending equipment based on the determined abnormity solving strategy can be executed quickly, and the abnormity solving effect is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of an alternative method of resolving an anomaly of a vending machine according to an embodiment of the present invention;
FIG. 2 is a flow chart of an alternative method of resolving an anomaly of a vending apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural view of an alternative vending apparatus anomaly resolving device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an abnormality solving apparatus of an alternative vending apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
An embodiment of the present invention provides a selectable method for solving an exception of a vending machine, and as shown in fig. 1, the method for solving an exception of a vending machine includes:
s101, receiving abnormal information reported by a target automatic vending device in each automatic vending device, wherein the abnormal information at least comprises a fault code.
In the embodiment of the present invention, the execution main body may be a terminal device or a server that establishes a connection with each vending device, and the execution main body may obtain an operation condition of each vending device. Further, the execution main body can receive abnormal information reported by the target vending equipment with abnormal conditions in each vending equipment. Wherein, each automatic vending equipment can be based on the commodity that the user selected to purchase and the payment information of user to this commodity, and the corresponding motor of control rotates, realizes the automatic shipment of this commodity. In the whole selling process, the possible abnormalities may include, but are not limited to, that the user cannot select the commodity, that the payment information displayed by the automatic selling device does not correspond to the commodity, that the motor rotates abnormally, that the shipment fails abnormally, and the like, which is not limited in this embodiment. After the execution main body receives the abnormal information reported by the target vending equipment with the abnormal conditions in each vending equipment, the abnormal information can be analyzed, and the fault code can be obtained. Optionally, the exception information may further include an exception event code, an exception occurrence time, and the like, which is used to assist in locating an exception and solving the exception, and the effect is better.
And S102, determining the abnormality classification corresponding to the abnormality information.
In the embodiment of the present invention, a plurality of preset exception classifications may be stored in the execution main body in advance, where the exception classifications are used to describe categories to which exceptions belong, and may include, but are not limited to, commodity exceptions, payment exceptions, hardware exceptions, and the like. Optionally, when the abnormal information reported by the target vending device includes an abnormal event code, the abnormal classification corresponding to the abnormal information may be determined based on the abnormal event code.
S103, determining an abnormity solving strategy corresponding to the target vending equipment based on the monitoring information, the abnormity classification and the fault code corresponding to the target vending equipment.
In the embodiment of the invention, each vending device can be provided with a monitoring device, each monitoring device can acquire the monitoring information of the corresponding vending device, and the monitoring information can be information such as monitoring videos. Under the condition that the abnormal solution strategy corresponding to the target vending equipment is determined, monitoring information, abnormal classification and fault codes corresponding to the target vending equipment can be integrated, and the corresponding abnormal solution strategy is determined. The abnormity solving strategy obtained in the process can contain the characteristics of various target automatic vending equipment, and the obtained abnormity solving strategy is determined to be more accurate.
And S104, executing an abnormity solving operation on the target automatic vending equipment according to the abnormity solving strategy.
In the embodiment of the invention, after the abnormity solving strategy is determined, abnormity solving operation can be executed on the target automatic vending equipment according to the abnormity solving step in the abnormity solving strategy, so that the abnormity condition of the target automatic vending equipment is solved.
For example, a user may scan a two-dimensional shopping code on a target vending device, the target vending device should display commodity information under normal conditions, if the target vending device is abnormal, the commodity information cannot be normally displayed, abnormal information carrying a fault code may be sent to the execution main body, so that the execution main body determines a corresponding abnormal solution policy, and performs an abnormal solution operation on the target vending device, so that the target vending device can normally display the commodity information; or the target automatic vending equipment can normally display commodity information, a user selects a certain commodity to be added into the shopping cart, and if the commodity is failed to be added into the shopping cart, the target automatic vending equipment can also send abnormal information carrying fault codes to the execution main body, so that the execution main body determines a corresponding abnormal solution strategy and executes abnormal solution operation on the target automatic vending equipment, and the target automatic vending equipment can realize operation of adding the shopping cart; or, after a user adds a certain commodity into the shopping cart, if the user chooses to perform payment operation on the commodity, the user finds that payment cannot be performed, and at this time, the user may send abnormal information carrying a fault code to the execution main body, so that the execution main body determines a corresponding abnormal solution policy, and performs abnormal solution operation on the target vending device, so that the target vending device can perform payment operation.
Further, if the payment operation is successfully performed, the target vending device enters a shipment detection phase. Firstly, whether the control panel receives a delivery instruction needs to be detected, if the control panel receives the delivery instruction, the control panel responds to the delivery instruction, and delivery channel information is controlled, so that the control panel delivers according to the delivery channel information. When any link in the process is abnormal, the step of reporting the abnormal information can be triggered. If all links in the process are normal, entering a motor shipment control stage. The motor rotates according to the control of the control panel to carry out shipment to the commodity, if the motor receives the feedback signal of goods way, confirm that shipment is successful, if the motor rotates a circle and does not receive the feedback signal, explain that shipment is failed, appear unusually.
In the embodiment of the invention, the abnormal information reported by the abnormal target automatic vending equipment can be received, and the abnormal classification corresponding to the abnormal information is determined, so that the corresponding abnormal solving strategy is determined according to the monitoring information, the abnormal classification and the fault code of the target automatic vending equipment. The abnormity solving operation executed on the target automatic vending equipment based on the determined abnormity solving strategy can be executed quickly, and the abnormity solving effect is improved.
Further, an embodiment of the present invention provides another optional method for solving an exception of a vending device, and as shown in fig. 2, the method for solving an exception of a vending device includes:
s201, in response to the fact that the monitoring information corresponding to the target automatic vending equipment indicates that the target automatic vending equipment is abnormal, sending an obtaining instruction to the target automatic vending equipment, wherein the obtaining instruction is used for indicating to obtain the abnormal information of the target automatic vending equipment.
In the embodiment of the present invention, whether a target vending device is abnormal or not may be determined according to monitoring information corresponding to the vending device, and specifically, whether a display abnormality or a hardware abnormality or the like is present may be determined based on image analysis of a monitored image of the vending device. Or, the situation of equipment alarm and the like can be determined based on voice analysis of the monitoring video of the automatic vending equipment. If the target automatic vending equipment is determined to be abnormal according to the monitoring information, an obtaining instruction can be sent to the target automatic vending equipment to obtain abnormal information sent by the target automatic vending equipment.
S202, receiving abnormal information returned by the target automatic vending equipment based on the acquisition instruction, wherein the abnormal information at least comprises a fault code.
In the embodiment of the present invention, for the detailed description of step S202, refer to the detailed description of step S101, which is not repeated herein.
S203, determining the abnormality classification corresponding to the abnormality information.
In the embodiment of the present invention, for the detailed description of step S203, refer to the detailed description of step S102, which is not repeated herein.
And S204, determining abnormal components of the target automatic vending equipment based on the monitoring information and the fault codes corresponding to the target automatic vending equipment.
In the embodiment of the invention, the abnormal component of the target automatic vending equipment can be determined based on the equipment image information in the monitoring information corresponding to the target automatic vending equipment and the fault code of the target automatic vending equipment. Optionally, the monitoring devices for acquiring the monitoring information corresponding to the target vending device may be respectively disposed around each component in the target vending device, and configured to monitor the operation conditions of each component.
And S205, determining an exception resolution strategy matched with the exception component as the exception resolution strategy corresponding to the target vending equipment in the exception resolution strategies corresponding to the exception classification.
In the embodiment of the invention, each exception resolution strategy corresponding to each exception classification can be preset, and the exception resolution strategy matched with the exception component can be determined in each exception resolution strategy corresponding to the exception classification. The mode of matching the abnormal solution strategy after classification can reduce the operation amount of abnormal matching and improve the determination rate of the abnormal solution strategy.
And S206, executing an abnormity solving operation on the target automatic vending equipment according to the abnormity solving strategy.
In the embodiment of the present invention, for the detailed description of step S206, refer to the detailed description of step S104, which is not repeated herein.
And S207, obtaining the selling data of the target automatic selling equipment.
According to the embodiment of the invention, after the abnormity solving operation is performed on the target automatic vending equipment according to the abnormity solving strategy, the vending data of the target automatic vending equipment can be obtained, the influence of the abnormity of the target automatic vending equipment on the vending data is reduced, and more accurate vending data is obtained.
And S208, determining a selling statistic result based on the selling data and the selling data of other automatic selling equipment.
In the embodiment of the invention, the selling statistical result is determined based on the obtained accurate selling data of the target automatic selling equipment and the selling data of other normally-operated selling equipment, so that the accuracy of the selling statistical result can be improved. Wherein the sale statistics may include, but are not limited to, a sale category, a sale quantity, a sale amount, and the like.
As an alternative implementation, the following steps may also be performed: acquiring abnormal information of each automatic vending device and a corresponding abnormal solving strategy; and estimating the service life of each automatic vending device according to the abnormal information of each automatic vending device and the corresponding abnormal solution strategy.
In the embodiment of the invention, the service life of each automatic vending device can be estimated according to the abnormal information of each automatic vending device and the corresponding abnormal solving strategy, and the machine changing operation can be executed on each automatic vending device under the condition that the service life of each automatic vending device is up to the service life, so that the user experience is improved.
In the embodiment of the invention, the abnormal information reported by the abnormal target automatic vending equipment can be received, and the abnormal classification corresponding to the abnormal information is determined, so that the corresponding abnormal solving strategy is determined according to the monitoring information, the abnormal classification and the fault code of the target automatic vending equipment. The abnormity solving operation executed on the target automatic vending equipment based on the determined abnormity solving strategy can be executed quickly, and the abnormity solving effect is improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
According to another aspect of the embodiments of the present invention, there is also provided an abnormality solving apparatus for a vending machine, for implementing the abnormality solving method for a vending machine, as shown in fig. 3, including:
the information receiving unit 301 is configured to receive abnormal information reported by a target vending device in each vending device, where the abnormal information at least includes a fault code.
In the embodiment of the present invention, the execution main body may be a terminal device or a server that establishes a connection with each vending device, and the execution main body may obtain an operation condition of each vending device. Further, the execution main body can receive abnormal information reported by the target vending equipment with abnormal conditions in each vending equipment. Wherein, each automatic vending equipment can be based on the commodity that the user selected to purchase and the payment information of user to this commodity, and the corresponding motor of control rotates, realizes the automatic shipment of this commodity. In the whole selling process, the possible abnormalities may include, but are not limited to, that the user cannot select the commodity, that the payment information displayed by the automatic selling device does not correspond to the commodity, that the motor rotates abnormally, that the shipment fails abnormally, and the like, which is not limited in this embodiment. After the execution main body receives the abnormal information reported by the target vending equipment with the abnormal conditions in each vending equipment, the abnormal information can be analyzed, and the fault code can be obtained. Optionally, the exception information may further include an exception event code, an exception occurrence time, and the like, which is used to assist in locating an exception and solving the exception, and the effect is better.
A classification determination unit 302 configured to determine an abnormality classification corresponding to the abnormality information.
In the embodiment of the present invention, a plurality of preset exception classifications may be stored in the execution main body in advance, where the exception classifications are used to describe categories to which exceptions belong, and may include, but are not limited to, commodity exceptions, payment exceptions, hardware exceptions, and the like. Optionally, when the abnormal information reported by the target vending device includes an abnormal event code, the abnormal classification corresponding to the abnormal information may be determined based on the abnormal event code.
A policy determining unit 303 configured to determine an exception resolution policy corresponding to the target vending device based on the monitoring information, the exception classification, and the fault code corresponding to the target vending device.
In the embodiment of the invention, each vending device can be provided with a monitoring device, each monitoring device can acquire the monitoring information of the corresponding vending device, and the monitoring information can be information such as monitoring videos. Under the condition that the abnormal solution strategy corresponding to the target vending equipment is determined, monitoring information, abnormal classification and fault codes corresponding to the target vending equipment can be integrated, and the corresponding abnormal solution strategy is determined. The abnormity solving strategy obtained in the process can contain the characteristics of various target automatic vending equipment, and the obtained abnormity solving strategy is determined to be more accurate.
An exception resolution unit 304 configured to perform an exception resolution operation on the target vending device in accordance with the exception resolution policy.
In the embodiment of the invention, after the abnormity solving strategy is determined, abnormity solving operation can be executed on the target automatic vending equipment according to the abnormity solving step in the abnormity solving strategy, so that the abnormity condition of the target automatic vending equipment is solved.
As an optional implementation, the policy determining unit is further configured to: determining an abnormal component of the target vending equipment based on the monitoring information corresponding to the target vending equipment and the fault code; and determining an abnormality solution strategy matched with the abnormal component as the abnormality solution strategy corresponding to the target vending equipment in each abnormality solution strategy corresponding to the abnormality classification.
In the embodiment of the invention, the abnormal component of the target automatic vending equipment can be determined based on the equipment image information in the monitoring information corresponding to the target automatic vending equipment and the fault code of the target automatic vending equipment. Optionally, the monitoring devices for acquiring the monitoring information corresponding to the target vending device may be respectively disposed around each component in the target vending device, and configured to monitor the operation conditions of each component. And each exception solution strategy corresponding to each exception classification can be preset, and the exception solution strategy matched with the exception component can be determined in each exception solution strategy corresponding to the exception classification. The mode of matching the abnormal solution strategy after classification can reduce the operation amount of abnormal matching and improve the determination rate of the abnormal solution strategy.
As an optional implementation manner, the information receiving unit is further configured to: in response to the fact that the monitoring information corresponding to the target vending equipment indicates that the target vending equipment is abnormal, sending an acquisition instruction to the target vending equipment, wherein the acquisition instruction is used for indicating to acquire the abnormal information of the target vending equipment; and receiving the abnormal information returned by the target automatic vending equipment based on the acquisition instruction.
In the embodiment of the present invention, whether a target vending device is abnormal or not may be determined according to monitoring information corresponding to the vending device, and specifically, whether a display abnormality or a hardware abnormality or the like is present may be determined based on image analysis of a monitored image of the vending device. Or, the situation of equipment alarm and the like can be determined based on voice analysis of the monitoring video of the automatic vending equipment. If the target automatic vending equipment is determined to be abnormal according to the monitoring information, an obtaining instruction can be sent to the target automatic vending equipment to obtain abnormal information sent by the target automatic vending equipment.
As an optional implementation, the apparatus further includes: a data obtaining unit configured to obtain vending data of the target vending device after performing an anomaly resolution operation on the target vending device according to the anomaly resolution policy; and a result determining unit configured to determine a vending statistic result based on the vending data and vending data of other vending devices.
According to the embodiment of the invention, after the abnormity solving operation is performed on the target automatic vending equipment according to the abnormity solving strategy, the vending data of the target automatic vending equipment can be obtained, the influence of the abnormity of the target automatic vending equipment on the vending data is reduced, and more accurate vending data is obtained. Based on the above-mentioned more accurate target vending equipment's that acquires sell data, with other normal operating vending equipment's the data of selling, confirm to sell the statistical result, can improve the degree of accuracy of selling the statistical result. Wherein the sale statistics may include, but are not limited to, a sale category, a sale quantity, a sale amount, and the like.
As an optional implementation, the apparatus further includes: the above-mentioned device still includes: an information acquisition unit configured to acquire abnormality information of each vending apparatus and a corresponding abnormality resolution policy; and the service life estimating unit is configured to estimate the service life of each automatic vending device according to the abnormal information of each automatic vending device and the corresponding abnormal solving strategy.
In the embodiment of the invention, the service life of each automatic vending device can be estimated according to the abnormal information of each automatic vending device and the corresponding abnormal solving strategy, and the machine changing operation can be executed on each automatic vending device under the condition that the service life of each automatic vending device is up to the service life, so that the user experience is improved.
In the embodiment of the invention, the abnormal information reported by the abnormal target automatic vending equipment can be received, and the abnormal classification corresponding to the abnormal information is determined, so that the corresponding abnormal solving strategy is determined according to the monitoring information, the abnormal classification and the fault code of the target automatic vending equipment. The abnormity solving operation executed on the target automatic vending equipment based on the determined abnormity solving strategy can be executed quickly, and the abnormity solving effect is improved.
According to a further aspect of an embodiment of the present invention, there is also provided an abnormality solving device of a vending apparatus for implementing the abnormality solving method of the vending apparatus, as shown in fig. 4, the abnormality solving device of the vending apparatus includes a memory 402 and a processor 404, the memory 402 stores a computer program, and the processor 404 is configured to execute the steps of any one of the method embodiments described above through the computer program.
Optionally, in this embodiment, the abnormality solving device of the vending apparatus may be located in at least one of a plurality of network devices of a computer network.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, receiving abnormal information reported by the target automatic vending equipment in each automatic vending equipment, wherein the abnormal information at least comprises fault codes;
s2, determining the abnormal classification corresponding to the abnormal information;
s3, determining an exception resolution strategy corresponding to the target vending equipment based on the monitoring information, exception classification and fault code corresponding to the target vending equipment;
and S4, executing the abnormity solving operation on the target automatic vending equipment according to the abnormity solving strategy.
Optionally, as one of ordinary skill in the art will appreciate, the structure shown in fig. 4 is only an illustration, and the abnormality solving device of the vending apparatus may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 4 is a view not limiting the structure of the abnormality solving apparatus of the vending machine. For example, the anomaly resolution device of the vending apparatus may also include more or fewer components (e.g., network interfaces, etc.) than shown in fig. 4, or have a different configuration than shown in fig. 4.
The memory 402 may be configured to store software programs and modules, such as program instructions/modules corresponding to the method and apparatus for solving the abnormality of the vending device in the embodiment of the present invention, and the processor 404 executes various functional applications and data processing by running the software programs and modules stored in the memory 402, that is, implements the method for solving the abnormality of the vending device. The memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 402 may further include memory located remotely from the processor 404, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 402 may be used for storing information such as operation instructions, but is not limited thereto. As an example, as shown in fig. 4, the memory 402 may include, but is not limited to, an information receiving unit 301, a classification determining unit 302, a policy determining unit 303, and an abnormality solving unit 304 in the abnormality solving apparatus of the vending machine. In addition, but not limited to, other module units in the abnormality solving apparatus of the vending device may also be included, and are not described in detail in this example.
Optionally, the transmission device 406 is used for receiving or sending data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 406 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 406 is a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In addition, above-mentioned vending equipment's unusual equipment of solving still includes: a display 408 for displaying the display content; and a connection bus 410 for connecting the respective module parts in the abnormality solving apparatus of the above-described vending apparatus.
According to a further aspect of embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, receiving abnormal information reported by the target automatic vending equipment in each automatic vending equipment, wherein the abnormal information at least comprises fault codes;
s2, determining the abnormal classification corresponding to the abnormal information;
s3, determining an exception resolution strategy corresponding to the target vending equipment based on the monitoring information, exception classification and fault code corresponding to the target vending equipment;
and S4, executing the abnormity solving operation on the target automatic vending equipment according to the abnormity solving strategy.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the methods of the foregoing embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, or network devices) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.

Claims (10)

1. An anomaly resolution method for a vending machine, comprising:
receiving abnormal information reported by a target automatic vending device in each automatic vending device, wherein the abnormal information at least comprises a fault code;
determining an abnormality classification corresponding to the abnormality information;
determining an exception resolution strategy corresponding to the target vending equipment based on the monitoring information corresponding to the target vending equipment, the exception classification and the fault code;
and executing an exception resolution operation on the target automatic vending equipment according to the exception resolution strategy.
2. The method of claim 1, wherein determining an exception resolution policy for the target vending device based on the monitoring information, the exception classification, and the fault code for the target vending device comprises:
determining abnormal components of the target vending equipment based on the monitoring information corresponding to the target vending equipment and the fault code;
and determining an exception resolution strategy matched with the exception component as the exception resolution strategy corresponding to the target vending equipment in each exception resolution strategy corresponding to the exception classification.
3. The method according to claim 1, wherein the receiving the abnormal information reported by the target vending device in each vending device comprises:
in response to the fact that the monitoring information corresponding to the target vending equipment indicates that the target vending equipment is abnormal, sending an obtaining instruction to the target vending equipment, wherein the obtaining instruction is used for indicating to obtain the abnormal information of the target vending equipment;
and receiving the abnormal information returned by the target automatic vending equipment based on the acquisition instruction.
4. The method of claim 1, wherein after said performing an exception resolution operation on the target vending device in accordance with the exception resolution policy, the method further comprises:
obtaining vending data of the target vending equipment;
determining a vending statistic based on the vending data and vending data of other vending devices.
5. The method according to any one of claims 1 to 4, further comprising:
acquiring abnormal information of each automatic vending device and a corresponding abnormal solving strategy;
and estimating the service life of each automatic vending device according to the abnormal information of each automatic vending device and the corresponding abnormal solution strategy.
6. An abnormity solving device of automatic vending equipment, which is characterized by comprising:
the information receiving unit is configured to receive abnormal information reported by a target automatic vending device in each automatic vending device, and the abnormal information at least comprises fault codes;
a classification determination unit configured to determine an abnormality classification corresponding to the abnormality information;
a policy determination unit configured to determine an exception resolution policy corresponding to the target vending device based on the monitoring information corresponding to the target vending device, the exception classification, and the fault code;
an exception resolution unit configured to perform an exception resolution operation on the target vending device according to the exception resolution policy.
7. The apparatus of claim 6, wherein the policy determination unit is further configured to:
determining abnormal components of the target vending equipment based on the monitoring information corresponding to the target vending equipment and the fault code;
and determining an exception resolution strategy matched with the exception component as the exception resolution strategy corresponding to the target vending equipment in each exception resolution strategy corresponding to the exception classification.
8. The apparatus of claim 7, wherein the information receiving unit is further configured to:
in response to the fact that the monitoring information corresponding to the target vending equipment indicates that the target vending equipment is abnormal, sending an obtaining instruction to the target vending equipment, wherein the obtaining instruction is used for indicating to obtain the abnormal information of the target vending equipment;
and receiving the abnormal information returned by the target automatic vending equipment based on the acquisition instruction.
9. The apparatus of claim 7, further comprising:
a data obtaining unit configured to obtain vending data of the target vending device after the abnormality resolution operation is performed on the target vending device according to the abnormality resolution policy;
a result determination unit configured to determine a vending statistic result based on the vending data and vending data of other vending devices.
10. The apparatus of any one of claims 7 to 9, further comprising:
an information acquisition unit configured to acquire abnormality information of each vending apparatus and a corresponding abnormality resolution policy;
and the service life estimating unit is configured to estimate the service life of each automatic vending device according to the abnormal information of each automatic vending device and the corresponding abnormal solving strategy.
CN202110051134.6A 2021-01-14 2021-01-14 Abnormity solving method and device for automatic vending equipment Pending CN112905409A (en)

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CN110750784A (en) * 2019-09-24 2020-02-04 深圳市智莱科技股份有限公司 Safety prevention and control method and system for automatic vending equipment
CN110930581A (en) * 2018-09-20 2020-03-27 深圳友朋智能商业科技有限公司 Remote monitoring method and device for vending equipment, computer equipment and storage medium
CN111696259A (en) * 2019-07-05 2020-09-22 深圳友宝科斯科技有限公司 Method and device for processing goods delivery failure of self-service vending machine

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090094081A1 (en) * 2007-10-09 2009-04-09 Fawn Engineering Corp. Apparatus, method, and system to monitor performance of coin acceptors, bill validators, and other automated payment methods
CN110930581A (en) * 2018-09-20 2020-03-27 深圳友朋智能商业科技有限公司 Remote monitoring method and device for vending equipment, computer equipment and storage medium
CN111696259A (en) * 2019-07-05 2020-09-22 深圳友宝科斯科技有限公司 Method and device for processing goods delivery failure of self-service vending machine
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