CN116563059A - Intelligent container offline processing method and device, electronic equipment and medium - Google Patents

Intelligent container offline processing method and device, electronic equipment and medium Download PDF

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Publication number
CN116563059A
CN116563059A CN202310562424.6A CN202310562424A CN116563059A CN 116563059 A CN116563059 A CN 116563059A CN 202310562424 A CN202310562424 A CN 202310562424A CN 116563059 A CN116563059 A CN 116563059A
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China
Prior art keywords
offline
intelligent container
container
intelligent
field
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Chinese (zh)
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李航
支涛
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Henan Yunji Intelligent Technology Co Ltd
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Henan Yunji Intelligent Technology Co Ltd
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Priority to CN202310562424.6A priority Critical patent/CN116563059A/en
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    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F9/00—Details other than those peculiar to special kinds or types of apparatus
    • G07F9/002—Vending machines being part of a centrally controlled network of vending machines
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • General Health & Medical Sciences (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Primary Health Care (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Computing Systems (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The disclosure relates to the field of behavior monitoring, and provides an intelligent container offline processing method, device, electronic equipment and medium. The method comprises the following steps: when the intelligent container is detected to be offline, acquiring offline field data of the offline intelligent container; generating an offline field log based on the offline field data; and controlling the offline intelligent container to send the offline field log to an intelligent container maintenance system. The method provided by the embodiment of the disclosure transmits the offline field log to an intelligent container maintenance system. The method provided by the disclosure can timely detect that the intelligent container has an offline fault, and ensure the safe work of the intelligent container, thereby avoiding economic loss.

Description

Intelligent container offline processing method and device, electronic equipment and medium
Technical Field
The disclosure relates to the field of intelligent containers, and in particular relates to an intelligent container offline processing method, an intelligent container offline processing device, electronic equipment and a medium.
Background
The intelligent counter of hotel is unmanned mode of selling, in the region that does not have the staff, if intelligence counter is because outage or fuselage damage initiative offline, hardly in time be attended to. The intelligent container carries out data transmission with the control system through the 4G network, and after the intelligent container is offline, the control system cannot be connected with the intelligent container, and once the equipment is offline for a long time, unexpected economic loss can be caused.
Therefore, how to timely detect the offline faults of the intelligent container and ensure the safe operation of the intelligent container, so as to avoid economic loss is a technical problem which needs to be solved by the technicians in the field.
Disclosure of Invention
In view of the above, the embodiments of the present disclosure provide an offline processing method, device, electronic device and medium for an intelligent container, so as to solve the problem that in the prior art, if the intelligent container is offline actively due to power failure or body damage, the intelligent container is difficult to be paid attention to in time. The intelligent container carries out data transmission with the control system through the 4G network, and after the intelligent container is offline, the control system cannot be connected with the intelligent container, and once the equipment is offline for a long time, the problem of unexpected economic loss can be caused.
In a first aspect of an embodiment of the present disclosure, an offline processing method for an intelligent container is provided, including: when the intelligent container is detected to be offline, acquiring offline field data of the offline intelligent container; generating an offline field log based on the offline field data; and controlling the offline intelligent container to send the offline field log to an intelligent container maintenance system.
In a second aspect of the embodiments of the present disclosure, there is provided an intelligent container offline processing apparatus, including: an acquisition unit configured to acquire offline field data of the offline intelligent container when the intelligent container is detected to be offline; a generation unit configured to generate an offline field log based on the offline field data; and the sending unit is configured to control the offline intelligent container to send the offline field log to an intelligent container maintenance system.
In a third aspect of the disclosed embodiments, an electronic device is provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect of the disclosed embodiments, a computer-readable storage medium is provided, which stores a computer program which, when executed by a processor, implements the steps of the above-described method.
Compared with the prior art, the embodiment of the disclosure has the beneficial effects that: firstly, when the offline of the intelligent container is detected, acquiring offline field data of the offline intelligent container; secondly, generating an offline field log based on the offline field data; and finally, controlling the off-line intelligent container to send the off-line field log to an intelligent container maintenance system. The method provided by the embodiment of the disclosure sends the offline field log to the intelligent container maintenance system, so that the problem that the intelligent container is difficult to pay attention to in time if the intelligent container is actively offline due to power failure or body damage in the prior art is avoided. The intelligent container carries out data transmission with the control system through the 4G network, and after the intelligent container is offline, the control system cannot be connected with the intelligent container, and once the equipment is offline for a long time, the problem of unexpected economic loss can be caused. The method provided by the disclosure can timely detect that the intelligent container has an offline fault, and ensure the safe work of the intelligent container, thereby avoiding economic loss.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required for the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic illustration of one application scenario of an intelligent container offline processing method according to some embodiments of the present disclosure;
FIG. 2 is a flow chart of some embodiments of an intelligent container offline processing method according to the present disclosure;
FIG. 3 is a schematic structural view of some embodiments of an intelligent container offline processing device according to the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
FIG. 1 is a schematic illustration of one application scenario of an intelligent container offline processing method according to some embodiments of the present disclosure.
In the application scenario of FIG. 1, first, when an off-line smart container is detected, the computing device 101 may obtain off-line field data 102 for the off-line smart container. Then, based on the offline field data 102, an offline field log 103 is generated. Finally, the computing device 101 can control the offline smart container to send the offline field log 103 to the smart container maintenance system 104.
The computing device 101 may be hardware or software. When the computing device 101 is hardware, it may be implemented as a distributed cluster of multiple servers or terminal devices, or as a single server or single terminal device. When the computing device 101 is embodied as software, it may be installed in the hardware devices listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein.
It should be understood that the number of computing devices in fig. 1 is merely illustrative. There may be any number of computing devices, as desired for an implementation.
FIG. 2 is a flow chart of some embodiments of an intelligent container offline processing method according to the present disclosure. The intelligent container offline processing method of FIG. 2 can be performed by the computing device 101 of FIG. 1. As shown in FIG. 2, the intelligent container offline processing method comprises the following steps:
step S201, when the intelligent container is detected to be offline, acquiring offline field data of the offline intelligent container.
In some embodiments, when an off-line smart container is detected, the executing body of the smart container off-line processing method (e.g., the computing device 101 shown in FIG. 1) obtains off-line field data of the off-line smart container.
In an alternative of some embodiments, the offline field data includes: power supply operation data, monitoring picture data, and network connection data. The power supply operation data are the voltage value and the current value of the power supply of the offline intelligent container in the window period. The monitoring picture data are the machine body of the offline intelligent container and the monitoring pictures around the machine body of the offline intelligent container in the window period. The network connection data is the network transmission rate of the offline intelligent container in the window period. The window period may be configured, for example, 15 minutes.
Step S202, generating an offline field log based on the offline field data.
In some embodiments, the executing body determines whether the offline intelligent container has an abnormal power-off based on the power operation data, and obtains an abnormal power-off detection result; the execution main body determines whether the offline intelligent container has abnormal movement or not based on the monitoring picture data to obtain an abnormal movement detection result; based on the network connection data, the execution body determines whether the offline intelligent container has abnormal disconnection of the network, and obtains an abnormal network disconnection detection result.
In an alternative manner of some embodiments, if the voltage value and the current value of the power supply of the offline intelligent container are zero in the window period, determining that the offline intelligent container has abnormal disconnection of the power supply, and obtaining an abnormal power-off detection result as an abnormal power-off. If the offline intelligent container body and monitoring pictures around the offline intelligent container body display abnormal movement of the offline intelligent container body in the window period, determining that the offline intelligent container has abnormal movement, and obtaining an abnormal movement detection result as abnormal movement. If the network transmission rate of the offline intelligent container in the window period is reduced to zero, determining that the offline intelligent container has abnormal disconnection of the network, and obtaining an abnormal disconnection detection result as an abnormal disconnection.
In some embodiments, the executing body obtains the position number and the machine code of the offline intelligent container; the execution body generates the offline field log based on the abnormal power outage detection result, the abnormal movement detection result, the abnormal network outage detection result, the position number, and the machine code.
In some embodiments, the execution body may control the intelligent container maintenance system to retrieve a specific location and machine model of the offline intelligent container based on the location number and the machine code.
Step S203, the offline intelligent container is controlled to send the offline field log to an intelligent container maintenance system.
In some embodiments, the execution body controls the offline intelligent container to send the offline field log to an intelligent container maintenance system through a short message; the executing body determines whether the offline field log is received by the intelligent container maintenance system.
In some embodiments, if the intelligent container maintenance system does not receive a short message including the offline field log, the executing body selects a target online intelligent container and obtains an online field log of the target online container; the execution main body controls the offline intelligent container to send the offline field log to a target online intelligent container through Bluetooth; the execution body controls the target online intelligent container to send the offline field log and the online field log to an intelligent container maintenance system.
In some embodiments, the target online intelligent container is the online intelligent container having the shortest distance from the offline intelligent container.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein in detail.
The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
FIG. 3 is a schematic structural view of some embodiments of an intelligent container offline processing device according to the present disclosure. As shown in fig. 3, the intelligent container offline processing device includes: an acquisition unit 301, a generation unit 302, and a transmission unit 303. Wherein, the obtaining unit 301 is configured to obtain offline field data of the offline intelligent container when the intelligent container is detected to be offline; a generating unit 302 configured to generate an offline field log based on the offline field data; and a transmitting unit 303 configured to control the offline intelligent container to transmit the offline field log to an intelligent container maintenance system.
In some alternative implementations of some embodiments, the offline field data includes: power supply operation data, monitoring picture data, and network connection data.
In some optional implementations of some embodiments, the generation unit 302 of the intelligent container offline processing device is further configured to: based on the power supply operation data, determining whether the offline intelligent container has abnormal disconnection of the power supply, and obtaining an abnormal power failure detection result; determining whether the offline intelligent container has abnormal movement or not based on the monitoring picture data to obtain an abnormal movement detection result; and determining whether the offline intelligent container has abnormal network disconnection based on the network connection data, and obtaining an abnormal network disconnection detection result.
In some optional implementations of some embodiments, the generation unit 302 of the intelligent container offline processing device is further configured to: acquiring the position number and the machine code of an offline intelligent container; and generating an offline field log based on the abnormal power-off detection result, the abnormal movement detection result, the abnormal network-disconnection detection result, the position number and the machine code.
In some optional implementations of some embodiments, the sending unit 303 of the intelligent container offline processing device is further configured to: the offline intelligent container is controlled to send the offline field log to an intelligent container maintenance system through a short message; determining whether the intelligent container maintenance system receives the offline field log.
In some optional implementations of some embodiments, the sending unit 303 of the intelligent container offline processing device is further configured to: if the intelligent container maintenance system does not receive the short message containing the offline field log, selecting a target online intelligent container and acquiring the online field log of the target online container; controlling the offline intelligent container to send the offline field log to a target online intelligent container through Bluetooth; and controlling the target online intelligent container to send the offline field log and the online field log to an intelligent container maintenance system.
In some alternative implementations of some embodiments, the target online intelligent container is the online intelligent container that is the shortest distance from the offline intelligent container.
Referring now to FIG. 4, a schematic diagram of an electronic device 400 (e.g., computing device 101 of FIG. 1) suitable for use in implementing some embodiments of the present disclosure is shown. The server illustrated in fig. 4 is merely an example, and should not be construed as limiting the functionality and scope of use of the embodiments of the present disclosure in any way.
As shown in fig. 4, the electronic device 400 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401, which may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic device 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
In general, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 shows an electronic device 400 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 4 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 409, or from storage 408, or from ROM 402. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing device 401.
It should be noted that, in some embodiments of the present disclosure, the computer readable medium may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be embodied in the apparatus; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: when the intelligent container is detected to be offline, acquiring offline field data of the offline intelligent container; generating an offline field log based on the offline field data; and controlling the offline intelligent container to send the offline field log to an intelligent container maintenance system.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a generation unit, and a transmission unit. The names of these units do not constitute a limitation of the unit itself in some cases, for example, the acquisition unit may also be described as "unit acquiring offline field data of an offline intelligent container when an intelligent container is detected offline".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims (10)

1. An intelligent container offline processing method is characterized by comprising the following steps:
when the intelligent container is detected to be offline, acquiring offline field data of the offline intelligent container;
generating an offline field log based on the offline field data;
and controlling the offline intelligent container to send the offline field log to an intelligent container maintenance system.
2. The intelligent container offline processing method according to claim 1, wherein the offline field data comprises: power supply operation data, monitoring picture data, and network connection data.
3. The intelligent container offline processing method of claim 2, wherein the generating an offline field log based on the offline field data comprises:
determining whether the offline intelligent container has abnormal disconnection of the power supply based on the power supply operation data to obtain an abnormal power failure detection result;
based on the monitoring picture data, determining whether the offline intelligent container has abnormal movement or not, and obtaining an abnormal movement detection result;
and determining whether the offline intelligent container has abnormal disconnection of the network based on the network connection data, and obtaining an abnormal network disconnection detection result.
4. The intelligent container offline processing method of claim 3, wherein the generating an offline field log based on the offline field data comprises:
acquiring the position number and the machine code of an offline intelligent container;
and generating an offline field log based on the abnormal power-off detection result, the abnormal movement detection result, the abnormal network-disconnection detection result, the position number and the machine code.
5. The intelligent container offline processing method of claim 4, wherein the controlling the offline intelligent container to send the offline field log to an intelligent container maintenance system comprises:
the offline intelligent container is controlled to send the offline field log to an intelligent container maintenance system through a short message;
determining if the offline field log is received by the intelligent container maintenance system.
6. The intelligent container offline processing method of claim 5, wherein the controlling the offline intelligent container to send the offline field log to an intelligent container maintenance system comprises:
if the intelligent container maintenance system does not receive the short message containing the offline field log, selecting a target online intelligent container and acquiring the online field log of the target online container;
controlling the offline intelligent container to send the offline field log to a target online intelligent container through Bluetooth;
and controlling the target online intelligent container to send the offline field log and the online field log to an intelligent container maintenance system.
7. The intelligent container offline processing method according to claim 6, wherein the target online intelligent container is an online intelligent container having a shortest distance from the offline intelligent container.
8. An intelligent container offline processing device, which is characterized by comprising:
an acquisition unit configured to acquire offline field data of the offline intelligent container when the intelligent container is detected to be offline;
a generation unit configured to generate the offline field log based on the offline field data;
and the sending unit is configured to control the offline intelligent container to send the offline field log to an intelligent container maintenance system.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 7.
CN202310562424.6A 2023-05-17 2023-05-17 Intelligent container offline processing method and device, electronic equipment and medium Withdrawn CN116563059A (en)

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Application Number Priority Date Filing Date Title
CN202310562424.6A CN116563059A (en) 2023-05-17 2023-05-17 Intelligent container offline processing method and device, electronic equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310562424.6A CN116563059A (en) 2023-05-17 2023-05-17 Intelligent container offline processing method and device, electronic equipment and medium

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