CN114615557A - Network-resident method and device for unmanned retail equipment, storage medium and unmanned retail equipment - Google Patents
Network-resident method and device for unmanned retail equipment, storage medium and unmanned retail equipment Download PDFInfo
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- CN114615557A CN114615557A CN202210264154.6A CN202210264154A CN114615557A CN 114615557 A CN114615557 A CN 114615557A CN 202210264154 A CN202210264154 A CN 202210264154A CN 114615557 A CN114615557 A CN 114615557A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/637—Control signals issued by the client directed to the server or network components
- H04N21/6375—Control signals issued by the client directed to the server or network components for requesting retransmission, e.g. of data packets lost or corrupted during transmission from server
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
- H04N21/23106—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion involving caching operations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/239—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/24—Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
- H04N21/2408—Monitoring of the upstream path of the transmission network, e.g. client requests
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Abstract
The invention discloses a method and a device for networking unmanned retail equipment, a storage medium and the unmanned retail equipment, and belongs to the technical field of unmanned retail. When uploading of a service video shot by the unmanned retail equipment fails, recording the current service video which fails to be uploaded, and detecting whether a transaction service exists in the unmanned retail equipment; if the current service video exists, initializing the uploading time interval, re-uploading the current service video according to the initialized uploading time interval, initializing the video uploading time interval when the network environment is poor, and uploading the service video according to the initialized time interval, so that the video uploading time is reduced, and meanwhile, the flow consumed during the video uploading is also saved.
Description
Technical Field
The invention relates to the technical field of unmanned retail, in particular to a method and a device for networking unmanned retail equipment, a storage medium and the unmanned retail equipment.
Background
The current unmanned retail equipment usually installs one camera on the top of a shelf or the back wall and the two side walls of a cabinet body, and each layer is provided with at least one camera, and all goods of the corresponding layer of shelf and the selling condition in the unmanned retail equipment are monitored through the camera, and then the video shot by the camera is uploaded.
The uploading of the video task needs to be through a network, the uploading of the video is carried out according to a certain time gradient in the prior art, but when the video is uploaded by the current unmanned retail equipment, the set gradient time span is large, so that the video task needs to be completed within a long time, and when the network is poor, the video uploading task can be carried out all the time, but the actual video is uploaded to the cloud end, and a large amount of flow is wasted.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a method and a device for network residence of unmanned retail equipment, a storage medium and the unmanned retail equipment, and aims to solve the technical problems that a video task is long in time consumption and a large amount of flow is wasted when a network is poor in the prior art.
In order to achieve the above object, the present invention provides a method for networking unmanned retail equipment, comprising the steps of:
when uploading of a service video shot by the unmanned retail equipment fails, recording the current service video which fails to be uploaded, and detecting whether a transaction service exists in the unmanned retail equipment;
if the current service video exists, initializing an uploading time interval, and re-uploading the current service video according to the initialized uploading time interval.
Optionally, if the current service video exists, initializing an upload time interval, and after the current service video is re-uploaded according to the initialized upload time interval, the method further includes:
detecting the current network signal intensity of a service video in an uploading process;
and when the current network signal intensity is smaller than the preset signal intensity, stopping uploading the service video, and recording the current time interval and the size of the uploaded video file.
Optionally, after stopping uploading the service video and recording the current time interval and the size of the uploaded video file when the current network signal strength is less than the preset signal strength, the method further includes:
and screening out a target base station from the plurality of base stations according to the base station connection priority when the current network signal strength is detected to be greater than or equal to the preset signal strength.
Optionally, before the time of failure of uploading the service video captured by the unmanned retail device, the method further includes:
acquiring base station information of each base station around the unmanned retail equipment;
determining a target base station based on a preset base station information white list and the base station information;
establishing a network connection between the unmanned retail device and the target base station;
and uploading the service video shot by the unmanned retail equipment through the network connection.
Optionally, the determining a target base station based on a preset base station information white list and the base station information includes:
determining the connection priority of the base station according to a preset base station information white list;
and screening the target base station from the plurality of base stations according to the base station connection priority.
Optionally, if the current service video exists, initializing an upload time interval, and after the current service video is re-uploaded according to the initialized upload time interval, the method further includes:
recording current base station information, a base station connection state and a video uploading rate in a service video uploading process;
and updating the preset base station information white list according to the current base station information, the base station connection state and the video uploading rate.
Optionally, after detecting whether a transaction service exists in the unmanned retail device, the method further includes:
and if the service video does not exist, initializing the unmanned retail equipment and stopping uploading the service video.
In addition, in order to achieve the above object, the present invention further provides a network hosting apparatus for unmanned retail equipment, including:
the system comprises a detection module, a processing module and a display module, wherein the detection module is used for recording a current business video which fails to be uploaded when the business video shot by the unmanned retail equipment fails to be uploaded, and detecting whether a transaction business exists in the unmanned retail equipment;
and the uploading module is used for initializing the uploading time interval if the current service video exists, and re-uploading the current service video according to the initialized uploading time interval.
In addition, to achieve the above object, the present invention also provides an unmanned retail device, including: a memory, a processor, and an unmanned retail device web-hosting program stored on the memory and running on the processor, the unmanned retail device web-hosting program configured to implement the unmanned retail device web-hosting method as described above.
In addition, to achieve the above object, the present invention further provides a storage medium having an unmanned retail equipment web-hosting program stored thereon, where the unmanned retail equipment web-hosting program, when executed by a processor, implements the unmanned retail equipment web-hosting method as described above.
When uploading of a service video shot by the unmanned retail equipment fails, recording the current service video which fails to be uploaded, and detecting whether a transaction service exists in the unmanned retail equipment; if the current service video exists, initializing the uploading time interval, re-uploading the current service video according to the initialized uploading time interval, initializing the video uploading time interval when the network environment is poor, and uploading the service video according to the initialized time interval, so that the video uploading time is reduced, and meanwhile, the flow consumed during the video uploading is also saved.
Drawings
FIG. 1 is a schematic diagram of an unmanned retail facility in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the method for web hosting of unmanned retail equipment of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of the method for web hosting of unmanned retail equipment according to the invention;
FIG. 4 is a schematic flow chart of a third embodiment of the method for web hosting of unmanned retail equipment of the present invention;
fig. 5 is a block diagram of the first embodiment of the web hosting apparatus of the unmanned retail device of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of an unmanned retail device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the unmanned retail device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 is not intended to be limiting of the unmanned retail device, and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and an unmanned retail device web-hosting program.
In the unmanned retail device shown in fig. 1, the network interface 1004 is primarily used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the unmanned retail device of the present invention may be provided in the unmanned retail device, and the unmanned retail device calls the network-hosting program of the unmanned retail device stored in the memory 1005 through the processor 1001 and executes the network-hosting method of the unmanned retail device provided by the embodiment of the present invention.
An embodiment of the present invention provides a method for networking an unmanned retail device, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of a method for networking an unmanned retail device according to the present invention.
In this embodiment, the network-resident method for the unmanned retail device includes the following steps:
step S10: when uploading of a business video shot by the unmanned retail equipment fails, recording the current business video which fails to upload, and detecting whether a transaction business exists in the unmanned retail equipment.
In this embodiment, an execution main body of this embodiment may be an unmanned retail device network-residing device, and the unmanned retail device network-residing device may be an electronic device such as a personal computer or a server, and may also be other unmanned retail cabinets and other devices that can achieve the same or similar functions.
It should be noted that, in the current unmanned retail equipment, a camera is usually installed on the top of a shelf or on the rear wall and two side walls of a cabinet body, and at least one camera is arranged on each layer, so as to monitor all goods on the corresponding layer of shelf and the selling conditions in the unmanned retail equipment, and then upload videos shot by the cameras. The uploading of the video task needs to be carried out through a network, the uploading of the video is carried out according to a certain time gradient in the prior art, but when the video is uploaded by the current unmanned retail equipment, the set gradient time span is large, so that the video task can be completed only by consuming a long time, and when the network is poor, the video uploading task can be carried out all the time, but the actual video is uploaded to the cloud end, and a large amount of flow is wasted.
In order to solve the above technical problem, in this embodiment, the uploading time interval of the service video is adjusted to accelerate the video uploading, and meanwhile, when the network is poor, the flow consumed by the unmanned retail device when the service video is uploaded is saved, which may be specifically implemented as follows.
In a specific implementation, the overall flow of the present scheme is described in this embodiment. Unmanned retail equipment is an unmanned automatic vending equipment, and its inside is provided with the camera, and when the user wants to purchase commodity from unmanned retail equipment, the user need open unmanned retail equipment's cabinet door earlier, then takes out required commodity from unmanned retail equipment, and after accomplishing the transaction, the user closes unmanned retail equipment's cabinet door again. In the whole process from the opening of the cabinet door of the unmanned retail cabinet by the user to the closing of the cabinet door of the unmanned retail cabinet by the user, the camera shoots in real time, and then the shot video, namely the business video is uploaded. In this embodiment, the service video may be uploaded to a server in the cloud, where the server in the cloud may be an independent server, or may be a server network or a server cluster composed of servers, for example, the server described in this embodiment includes, but is not limited to, a computer, a network host, a single network server, multiple network server sets, or a cloud server composed of multiple servers, where the cloud server is composed of a large number of computers or network servers based on cloud computing (cloud computing).
It should be noted that the unmanned retail device uploads the service video to the cloud terminal in a networking manner, the unmanned retail device in this embodiment is connected to a surrounding base station to obtain a network, and due to factors such as an environment where the unmanned retail device is located and a signal intensity of the base station, a situation that a network environment is poor may be encountered during uploading of the service video by the unmanned retail device, in this situation, although the unmanned retail device continues to upload the service video, an actual cloud terminal does not receive the service video, if the network environment is poor for a long time, the unmanned retail device always uploads the service video, which wastes network traffic greatly, so in the process of uploading the service video in this embodiment, the network situation of the video in the uploading process is monitored in real time, that is, whether the service video shot by the unmanned retail equipment fails to be uploaded is detected. Specifically, whether the uploading of the service video fails or not can be judged according to the feedback signal of the cloud server, if the uploading of the service video succeeds, a receiving success signal fed back by the cloud server is received, and if the signal is not received, the uploading of the service video fails.
Further, if the service video captured by the unmanned retail device fails to be uploaded, in this embodiment, it is further detected whether a transaction service exists in the unmanned retail device, that is, whether a user is using the unmanned retail device to purchase a commodity, in this embodiment, whether the transaction service exists may be detected in an image processing manner based on the service video, and the transaction service may also be detected in a manner of setting other sensors, where a specific manner may be selected according to an actual situation, and this is not limited in this embodiment.
Step S20: and if so, initializing an uploading time interval, and re-uploading the current service video according to the initialized uploading time interval.
It should be noted that, when the service video is uploaded, in this embodiment, the service video is uploaded according to a certain time gradient (that is, a time interval), the time interval in this embodiment may be a non-uniform time interval, for example, 5s after the service video is captured, the service video is uploaded, then the service video is uploaded after 8s, then the service video is uploaded after 30s, the time interval may be set according to an actual situation, which is not limited in this embodiment. It should be emphasized that the upload time interval set in this embodiment is far smaller than the upload time interval generally set in the current unmanned retail device, so that the upload efficiency of the service video is improved.
In this embodiment, if it is detected that a transaction service exists in the unmanned retail device, that is, when a user is purchasing a product using the unmanned retail device, in this embodiment, the upload time interval is initialized, for example, assuming that the upload of the service video is performed according to the time intervals of 5s, 8s, 30s and 1min, when the upload of the service video should be performed according to the upload time interval of 30s, it is detected that the upload of the service video fails, and meanwhile, the existence of the transaction service is also detected, in this case, the upload time interval is initialized to 5s in this embodiment, and then, the upload of the service video is performed again according to the upload time interval of 5 s.
Further, if the service video does not exist, it indicates that the user does not use the product of the unmanned retail device, in this case, the unmanned retail device is initialized, and then the uploading of the service video is stopped.
In the embodiment, when uploading of a service video shot by unmanned retail equipment fails, the current service video which fails to be uploaded is recorded, and whether a transaction service exists in the unmanned retail equipment is detected; if the current service video exists, initializing the uploading time interval, re-uploading the current service video according to the initialized uploading time interval, initializing the video uploading time interval when the network environment is poor, and uploading the service video according to the initialized time interval, so that the video uploading time is reduced, and meanwhile, the flow consumed during the video uploading is also saved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of a method for web hosting an unmanned retail device according to the present invention.
Based on the first embodiment, after the step S20, the method for web hosting for an unmanned retail device in this embodiment further includes:
step S30: and detecting the current network signal intensity of the service video in the uploading process.
In a specific implementation, in a process of uploading a service video, a network may fluctuate, and the network fluctuation may greatly affect the uploading of the service video.
Step S40: and when the current network signal intensity is smaller than the preset signal intensity, stopping uploading the service video, and recording the current time interval and the size of the uploaded video file.
It should be noted that the network signal strength corresponds to the quality of the network environment, and the larger the network signal strength is, the better the network environment is, otherwise, the network environment is worse, and in this embodiment, the magnitude of the network signal strength is evaluated by presetting the signal strength.
In a specific implementation, if the current network signal strength is smaller than the preset signal strength, it indicates that the current network signal strength is lower, and the network environment is poorer at this time, which may seriously affect the uploading of the service video.
Further, in this embodiment, after the uploading of the service video is stopped, the current network signal strength still continues to be detected, and if it is detected that the current network signal strength is greater than or equal to the preset signal strength, it indicates that the network environment at this time has recovered, and in this case, the uploading of the service video is resumed in this embodiment. Specifically, the size of the remaining video files to be uploaded is determined according to the size of the uploaded video files, and then the remaining service videos are uploaded according to the recorded current uploading time interval and the size of the remaining video files to be uploaded. For example, it is assumed that the service video is uploaded at time intervals of 5s, 8s, 30s and 1min, and when the service video is to be uploaded at the uploading time interval of 30s, it is detected that the current network signal strength is low, in this case, the uploading of the service video is temporarily stopped in this embodiment, and after the current network signal strength is recovered, the remaining service video is continuously uploaded at the uploading time interval of 30 s.
The embodiment detects the current network signal strength of the service video in the uploading process; and when the current network signal intensity is smaller than the preset signal intensity, stopping uploading the service video, recording the current time interval and the size of the uploaded video file, and continuing to upload the service video after the current network signal intensity is recovered, so that the network flow is saved while the service video can be effectively uploaded.
Referring to fig. 4, fig. 4 is a schematic flowchart of a third embodiment of a method for hosting an unmanned retail device in a network according to the present invention.
Based on the first embodiment, a third embodiment of the network hosting method of the unmanned retail device of the present invention is provided.
In this embodiment, step S10 is preceded by:
step S00: and acquiring base station information of each base station around the unmanned retail equipment.
Step S01: and determining a target base station based on a preset base station information white list and the base station information.
It should be noted that in this embodiment, after the network connection is established with the base station, the service video is uploaded after the network is acquired by the base station, but different base stations have different network qualities, and before the network connection is established with the base station, a base station with better network quality needs to be selected to establish the network connection.
In specific implementation, in this embodiment, base station information corresponding to each base station around the unmanned retail device is obtained first, and an obtaining range of the base station information may be set based on an actual situation, which is not limited in this embodiment.
After the base station information is obtained, in this embodiment, a target base station is screened from a plurality of base stations according to the base station information, specifically, in this embodiment, the target base station is screened based on a preset base station information white list, and base station information of a base station which has network connection with the unmanned retail equipment in the past and has network quality up to standard is stored in the preset base station information white list.
Further, after the base station information is obtained, searching is performed in a preset base station information white list, priority ranking is performed on the corresponding base stations according to the base station information which can be searched in the preset base station information white list, so that the base station connection priority is determined, and then the target base station is screened out according to the base station connection priority. For example, assuming that the base station information of the base station a, the base station B, and the base station C is obtained, the base station information of the base station a and the base station C may be found according to a preset base station information white list, and then the base station connection priority of the base station a and the base station C is determined, and assuming that the base station connection priority of the base station a is higher than that of the base station C, the base station a may be determined as a target base station. And if the relevant base station information is not inquired in the preset base station information white list, randomly selecting an unconnected base station for connection.
Step S02: establishing a network connection between the unmanned retail device and the target base station.
Step S03: and uploading the service video shot by the unmanned retail equipment through the network connection.
In a specific implementation, after the target base station is determined and a network connection is established with the target base station, the uploading of the service video is performed through the established network connection.
Further, after the service video uploading is completed, if the current time is the network connection established with the base station which is not connected in the past, the current base station information, the base station connection state and the video uploading rate in the service video uploading process are recorded. And comparing the video uploading rate with a preset rate, and if the video uploading rate is greater than the preset rate and the connection state of the base station is in a stable state, adding the base station information of the base station into a preset base station information white list to finish updating the preset base station information white list.
In the embodiment, base station information of each base station around the unmanned retail equipment is obtained; determining a target base station based on a preset base station information white list and the base station information; establishing a network connection between the unmanned retail device and the target base station; uploading the service video shot by the unmanned retail equipment through the network connection, and simultaneously recording current base station information, a base station connection state and a video uploading rate in the service video uploading process; and updating the preset base station information white list according to the current base station information, the base station connection state and the video uploading rate so as to ensure that the unmanned retail equipment can establish network connection with the base station with better network quality all the time, thereby improving the uploading efficiency of the service video.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores an unmanned retail device web-hosting program, and the unmanned retail device web-hosting program, when executed by a processor, implements the steps of the unmanned retail device web-hosting method described above.
Since the storage medium adopts all technical solutions of all the above embodiments, at least all the beneficial effects brought by the technical solutions of the above embodiments are achieved, and details are not repeated herein.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of the web hosting apparatus of the unmanned retail device according to the present invention.
As shown in fig. 5, the network-hosting device of an unmanned retail device according to an embodiment of the present invention includes:
the detection module 10 is configured to, when uploading of a service video captured by the unmanned retail device fails, record a current service video that fails to be uploaded, and detect whether a transaction service exists in the unmanned retail device.
It should be noted that, in the current unmanned retail equipment, a camera is usually installed on the top of a shelf or on the rear wall and two side walls of a cabinet body, and at least one camera is arranged on each layer, so as to monitor all goods on the corresponding layer of shelf and the selling conditions in the unmanned retail equipment, and then upload videos shot by the cameras. The uploading of the video task needs to be carried out through a network, the uploading of the video is carried out according to a certain time gradient in the prior art, but when the video is uploaded by the current unmanned retail equipment, the set gradient time span is large, so that the video task can be completed only by consuming a long time, and when the network is poor, the video uploading task can be carried out all the time, but the actual video is uploaded to the cloud end, and a large amount of flow is wasted.
In order to solve the above technical problem, in this embodiment, the uploading time interval of the service video is adjusted to accelerate the video uploading, and meanwhile, when the network is poor, the flow consumed by the unmanned retail device when the service video is uploaded is saved, which may be specifically implemented as follows.
In a specific implementation, the overall flow of the present scheme is described in this embodiment. Unmanned retail equipment is an unmanned automatic vending equipment, and its inside is provided with the camera, and when the user wants to purchase commodity from unmanned retail equipment, the user need open unmanned retail equipment's cabinet door earlier, then takes out required commodity from unmanned retail equipment, and after accomplishing the transaction, the user closes unmanned retail equipment's cabinet door again. In the whole process from the opening of the cabinet door of the unmanned retail cabinet by the user to the closing of the cabinet door of the unmanned retail cabinet by the user, the camera shoots in real time, and then the shot video, namely the business video is uploaded. In this embodiment, the service video may be uploaded to a server in the cloud, where the server in the cloud may be an independent server, or may be a server network or a server cluster composed of servers, for example, the server described in this embodiment includes but is not limited to a computer, a network host, a single network server, multiple network server sets, or a cloud server composed of multiple servers, where the cloud server is composed of a large number of computers or network servers based on cloud computing (cloud computing).
It should be noted that the unmanned retail device uploads the service video to the cloud terminal in a networking manner, the unmanned retail device in this embodiment is connected to a surrounding base station to obtain a network, and due to factors such as an environment where the unmanned retail device is located and a signal intensity of the base station, a situation that a network environment is poor may be encountered during uploading of the service video by the unmanned retail device, in this situation, although the unmanned retail device continues to upload the service video, an actual cloud terminal does not receive the service video, if the network environment is poor for a long time, the unmanned retail device always uploads the service video, which wastes network traffic greatly, so in the process of uploading the service video in this embodiment, the network situation of the video in the uploading process is monitored in real time, namely, whether the service video shot by the unmanned retail equipment fails to be uploaded is detected. Specifically, whether the uploading of the service video fails or not can be judged according to the feedback signal of the cloud server, if the uploading of the service video succeeds, a receiving success signal fed back by the cloud server is received, and if the signal is not received, the uploading of the service video fails.
Further, if the service video captured by the unmanned retail device fails to be uploaded, in this embodiment, it is further detected whether a transaction service exists in the unmanned retail device, that is, whether a user is using the unmanned retail device to purchase a commodity, in this embodiment, whether the transaction service exists may be detected in an image processing manner based on the service video, and the transaction service may also be detected in a manner of setting other sensors, where a specific manner may be selected according to an actual situation, and this is not limited in this embodiment.
And the uploading module 20 is configured to initialize the uploading time interval if the current service video exists, and upload the current service video again according to the initialized uploading time interval.
It should be noted that, when the service video is uploaded, in this embodiment, the service video is uploaded according to a certain time gradient (that is, a time interval), the time interval in this embodiment may be a non-uniform time interval, for example, 5s after the service video is captured, the service video is uploaded, then the service video is uploaded after 8s, and then the service video is uploaded after 30s, the time interval may be set according to an actual situation, which is not limited in this embodiment. It should be emphasized that the upload time interval set in this embodiment is far smaller than the upload time interval typically set in the current unmanned retail device, which improves the upload efficiency of the business video.
In this embodiment, if it is detected that a transaction service exists in the unmanned retail device, that is, when a user is using the unmanned retail device to purchase a device, the upload time interval is initialized in this embodiment, for example, assuming that the upload of the service video is performed according to the time intervals of 5s, 8s, 30s and 1min, when the upload of the service video should be performed according to the upload time interval of 30s, it is detected that the upload of the service video fails, and meanwhile, the existence of the transaction service is also detected, in this case, the upload time interval is initialized to 5s in this embodiment, and then, the upload of the service video is performed again according to the upload time interval of 5 s.
Further, if the service video does not exist, it indicates that the user does not use the product of the unmanned retail device, in this case, the unmanned retail device is initialized, and then the uploading of the service video is stopped.
In the embodiment, when uploading of a service video shot by unmanned retail equipment fails, the current service video which fails to be uploaded is recorded, and whether a transaction service exists in the unmanned retail equipment is detected; if the current service video exists, initializing the uploading time interval, re-uploading the current service video according to the initialized uploading time interval, initializing the video uploading time interval when the network environment is poor, and uploading the service video according to the initialized time interval, so that the video uploading time is reduced, and meanwhile, the flow consumed during the video uploading is also saved.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to a network hosting method of the unmanned retail device provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
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.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An unmanned retail device web-hosting method, characterized in that the unmanned retail device web-hosting method comprises:
when uploading of a service video shot by the unmanned retail equipment fails, recording the current service video which fails to be uploaded, and detecting whether a transaction service exists in the unmanned retail equipment;
and if so, initializing an uploading time interval, and re-uploading the current service video according to the initialized uploading time interval.
2. The method of claim 1, wherein after initializing an upload time interval and re-uploading the current business video according to the initialized upload time interval, the method further comprises:
detecting the current network signal intensity of a service video in an uploading process;
and when the current network signal intensity is smaller than the preset signal intensity, stopping uploading the service video, and recording the current time interval and the size of the uploaded video file.
3. The method for web hosting for an unmanned retail device of claim 2, wherein after stopping uploading the business video and recording the current time interval and the uploaded video file size when the current network signal strength is less than a preset signal strength, further comprising:
and when the current network signal intensity is detected to be greater than or equal to the preset signal intensity, screening a target base station from the plurality of base stations according to the base station connection priority.
4. The method for hosting a network by an unmanned retail device according to claim 1, wherein before the time of failure of uploading the business video captured by the unmanned retail device, the method further comprises:
acquiring base station information of each base station around the unmanned retail equipment;
determining a target base station based on a preset base station information white list and the base station information;
establishing a network connection between the unmanned retail device and the target base station;
and uploading the service video shot by the unmanned retail equipment through the network connection.
5. The method of claim 4, wherein the determining a target base station based on a whitelist of preset base station information and the base station information comprises:
determining the connection priority of the base station according to a preset base station information white list;
and screening the target base station from the plurality of base stations according to the base station connection priority.
6. The method of claim 4, wherein after initializing an upload time interval and re-uploading the current business video according to the initialized upload time interval, the method further comprises:
recording current base station information, a base station connection state and a video uploading rate in a service video uploading process;
and updating the preset base station information white list according to the current base station information, the base station connection state and the video uploading rate.
7. The retail unmanned device networking method of any of claims 1-6, wherein, after detecting the presence of a transaction within the retail unmanned device, further comprising:
and if the service video does not exist, initializing the unmanned retail equipment and stopping uploading the service video.
8. An unmanned retail device web hosting apparatus, characterized in that the unmanned retail device web hosting apparatus comprises:
the system comprises a detection module, a processing module and a processing module, wherein the detection module is used for recording a current business video which fails to be uploaded when the business video shot by the unmanned retail equipment fails to be uploaded, and detecting whether a transaction business exists in the unmanned retail equipment;
and the uploading module is used for initializing the uploading time interval if the current service video exists, and re-uploading the current service video according to the initialized uploading time interval.
9. An unmanned retail device, the unmanned retail device comprising: a memory, a processor, and an unmanned retail device web-hosting program stored on the memory and running on the processor, the unmanned retail device web-hosting program configured to implement the unmanned retail device web-hosting method of any one of claims 1-7.
10. A storage medium having stored thereon an unmanned retail device web-hosting program that, when executed by a processor, implements the unmanned retail device web-hosting method of any one of claims 1-7.
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| CN202210264154.6A CN114615557A (en) | 2022-03-17 | 2022-03-17 | Network-resident method and device for unmanned retail equipment, storage medium and unmanned retail equipment |
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