CN116934036A - Hotel intelligent robot management method, device, electronic equipment and medium - Google Patents

Hotel intelligent robot management method, device, electronic equipment and medium Download PDF

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CN116934036A
CN116934036A CN202310903749.6A CN202310903749A CN116934036A CN 116934036 A CN116934036 A CN 116934036A CN 202310903749 A CN202310903749 A CN 202310903749A CN 116934036 A CN116934036 A CN 116934036A
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robot
target
task
intelligent robot
intelligent
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林庭锐
支涛
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Beijing Yunji Technology Co Ltd
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Beijing Yunji Technology Co Ltd
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    • 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
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • 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
    • 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
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The disclosure relates to the technical field of intelligent robot management, and provides a hotel intelligent robot management method, a hotel intelligent robot management device, electronic equipment and a hotel intelligent robot management medium. The method comprises the following steps: when a code scanning request of a user for the hotel intelligent container is detected, acquiring commodity inventory, original information and existing information of each commodity in the hotel intelligent container; determining target commodities based on original information and existing information of each commodity; controlling the hotel intelligent container to automatically take off the target commodity and update the commodity inventory; and sending the updated commodity inventory to a purchase interface of the user. According to the method and the system, the original information and the existing information of each commodity in the hotel intelligent container are compared, so that a target user is locked, and the accuracy and the efficiency of commodity unloading are improved. The method provided by the embodiment of the disclosure can control the intelligent container to timely detect target commodities needing to be put off the shelf and put off the shelf, avoid the food safety problem and improve the user experience.

Description

Hotel intelligent robot management method, device, electronic equipment and medium
Technical Field
The disclosure relates to the technical field of intelligent robot management, in particular to a hotel intelligent robot management method, a hotel intelligent robot management device, electronic equipment and a hotel intelligent robot management medium.
Background
With the rapid development of technology, intelligent robots are playing an increasingly important role in the hotel industry. The delivery robot can finish various tasks like a human attendant, such as delivery of take-out, delivery of express, replacement of bedding and the like, so that not only is the efficiency and the standardization degree of guest room service improved, but also guests can enjoy service more autonomously, and the overall living experience is improved. The robot with the road is used as a receptionist of a hotel lobby, so that guests can obtain faster and more convenient check-in experience, the robot with the road can accurately identify the needs of the guests, provide detailed information and accurately guide the guests to arrive at a destination, the working efficiency of the hotel foreground is greatly improved, and the waiting time of the guests is reduced. The luggage delivery robot helps guests to automatically carry luggage to corresponding areas from specified positions, and burden and fatigue of the guests are greatly reduced. The intelligent robot not only improves the service quality and efficiency of the hotel, but also brings many innovations and convenience to the hotel.
Because of the large number of hotel personnel, the complex areas and terrains, the distribution robot, the robot with road and the baggage consignment robot generally need to move from one area to another when executing one task, and for temporarily increased tasks, it is difficult to allocate a proper intelligent robot for timely treatment.
Therefore, how to reasonably distribute intelligent robots based on tasks to be distributed, so as to timely meet customer demands and improve user experience is a technical problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the embodiments of the present disclosure provide a hotel intelligent robot management method, apparatus, electronic device, and medium, so as to solve the problem in the prior art how to reasonably allocate intelligent robots based on tasks to be allocated, thereby timely satisfying customer demands and improving user experience.
In a first aspect of the disclosed embodiments, a hotel intelligent robot management method is provided, including: the hotel intelligent robot management method is characterized by comprising the following steps of: when the task list of the associated intelligent robot is detected to have tasks to be distributed, acquiring task information of the tasks to be distributed; determining a target robot district and a target robot type based on the task information; determining an alternative intelligent robot based on the target robot district and the target robot type, and acquiring the current state of the alternative intelligent robot; and selecting a target intelligent robot to execute the task to be allocated based on the current state of the candidate intelligent robot.
In a second aspect of the disclosed embodiments, there is provided a hotel intelligent robot management device, comprising: the acquisition unit is configured to acquire task information of the tasks to be distributed when detecting that the tasks to be distributed exist in a task list of the associated intelligent robot; a first determining unit configured to determine a target robot district and a target robot type based on the task information; a second determining unit configured to determine an alternative intelligent robot based on the target robot district and the target robot type and acquire a current state of the alternative intelligent robot; and the selection unit is configured to select a target intelligent robot to execute the task to be allocated based on the current state of the candidate intelligent robot.
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 detecting that tasks to be distributed exist in a task list of an associated intelligent robot, acquiring task information of the tasks to be distributed; then, determining a target robot district and a target robot type based on the task information; then, based on the target robot district and the target robot type, determining an alternative intelligent robot and acquiring the current state of the alternative intelligent robot; and finally, selecting a target intelligent robot to execute the task to be allocated based on the current state of the candidate intelligent robot. The method provided by the embodiment of the disclosure determines the target robot district and the target robot type through the task information. The method provided by the embodiment of the disclosure can control the intelligent container to timely detect target commodities needing to be put off the shelf and put off the shelf, avoid the food safety problem and improve the user experience.
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 a hotel intelligent robot management method, according to some embodiments of the present disclosure;
FIG. 2 is a flow chart of some embodiments of a hotel intelligent robot management method according to the present disclosure;
FIG. 3 is a schematic structural diagram of some embodiments of a hotel intelligent robotic management 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 application 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 diagram of one application scenario of a hotel intelligent robot management method, according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, when detecting a code scanning request of a user for a hotel intelligent container, a computing device 101 may acquire a commodity inventory 102, original information 103 and existing information 104 of each commodity in the hotel intelligent container; the computing device 101 may then determine the target commodity 105 based on the original information 103 and the existing information 104 for each commodity; then, the hotel intelligent container is controlled to automatically take off the shelf of the target commodity 105 and update the commodity inventory 102; finally, the computing device 101 may send the updated inventory of goods to the user's purchase interface.
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 application 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 a hotel intelligent robot management method according to the present disclosure. The hotel intelligent robot management method of fig. 2 may be performed by the computing device 101 of fig. 1. As shown in fig. 2, the hotel intelligent robot management method includes:
step S201, when a code scanning request of a user for the intelligent hotel container is detected, acquiring commodity inventory, original information and existing information of all commodities in the intelligent hotel container.
In some embodiments, when a user's request for a scan code for a hotel smart container is detected, an executing body of the hotel smart robot management method (e.g., the computing device 101 shown in fig. 1) may acquire the inventory of goods, the original information of each of the goods, and the existing information within the hotel smart container.
In some embodiments, the original information includes an original appearance picture, a production date, and a shelf life of each commodity, and the existing information includes an existing appearance picture and a date of the day of each commodity. Here, the original appearance picture may be obtained by photographing or scanning when the commodity is put in storage, the production date and the quality guarantee period may be scanned and stored in the electronic tag, and the existing appearance picture may be obtained by photographing or scanning at the current time.
In an optional manner of some embodiments, the method provided by the embodiments of the present disclosure completes the determination and the shelving of the target commodity before the user enters the shopping interface by executing the hotel intelligent robot management method when the code scanning request of the user for the hotel intelligent container is detected, so that the shopping interface of the user only displays the good commodity, and the timeliness of the commodity shelving is improved.
Step S202, determining target commodities based on the original information and the existing information of each commodity.
In some embodiments, the executing body determines whether a damaged commodity exists based on an original appearance picture and an existing appearance picture of each commodity; if a damaged commodity exists, the damaged commodity is determined as a target commodity. In an optional manner of some embodiments, the executing body calculates a similarity between an original appearance picture and an existing appearance picture of each commodity, and if the similarity between the original appearance picture and the existing appearance picture of at least one commodity is lower than a first threshold, determines that the commodity is a damaged commodity. Here, the first threshold may be 100%.
In some embodiments, the executing entity determines whether an expired commodity exists based on the date of production and the date of quality guarantee of each commodity; and if the expired commodity exists, determining the expired commodity as a target commodity. In an alternative manner of some embodiments, the executing body calculates the time to take the respective commodity out of shelf. The formulas for calculating the shelf life of different commodities are different, for example, the shelf life of bread, low-temperature milk, hot drinks, refrigerated fresh food=production date+shelf life-2 days; flour soaking, shelf time of ham sausage = production date + shelf life-8 days; shelf life is shelf time of goods above half a year = production date + shelf life-37 days.
In an optional manner of some embodiments, the method and the system lock the target user by comparing the original information and the existing information of each commodity in the hotel intelligent container, and the method and the system do not rely on manual investigation any more, so that the accuracy and the efficiency of commodity shelf-off are improved.
Step S203, the hotel intelligent container is controlled to automatically take off the shelf to process the target commodity and update the commodity inventory.
In some embodiments, if the target commodity is a damaged commodity, the execution body controls the hotel intelligent container to perform isolation processing on the target commodity; the execution main body controls the hotel intelligent container to generate an artificial off-shelf instruction based on the target commodity; the execution main body controls the hotel intelligent container to send the manual shelf-off instruction to the background; the execution body controls the hotel intelligent container to update the commodity inventory. In some embodiments, the isolating process is to physically seal the target commodity in place, so as to prevent it from being knocked by extrusion and from spilling or leaking.
In some embodiments, if the target commodity is an expired commodity, controlling the hotel intelligent container to drop the target commodity to a container storage bin; the hotel intelligent container updates the commodity inventory.
In some embodiments, if the target commodity is both an expired commodity and a broken commodity, the target commodity is treated as a broken commodity.
Step S204, the updated commodity inventory is sent to a purchasing interface of the user.
In some embodiments, the executing entity sends the updated inventory of the commodity to a purchase interface of the user.
In an optional manner of some embodiments, the method provided by the embodiments of the present disclosure ensures that the shopping interface entered by the user only displays good goods by sending the updated goods inventory to the user's shopping interface, thereby avoiding the situation that the user chooses goods that should be put down.
Compared with the prior art, the embodiment of the disclosure has the beneficial effects that: firstly, when a code scanning request of a user for a hotel intelligent container is detected, acquiring commodity inventory, original information and existing information of each commodity in the hotel intelligent container; then, determining a target commodity based on the original information and the existing information of each commodity; then, controlling the hotel intelligent container to automatically take off the shelf for the target commodity and update the commodity inventory; and finally, sending the updated commodity inventory to a purchase interface of the user. According to the method provided by the embodiment of the disclosure, the hotel intelligent robot management method is executed when the code scanning request of the user for the hotel intelligent container is detected, and the determination and the unloading of the target commodity are completed before the user enters the shopping interface, so that the timeliness of commodity unloading is improved; further, the original information and the existing information of each commodity in the hotel intelligent container are compared, so that a target user is locked, manual investigation is not relied on, and the accuracy and the efficiency of commodity putting are improved; furthermore, the method provided by the embodiment of the disclosure ensures that the shopping interface entered by the user only displays good goods by sending the updated goods inventory to the user's shopping interface, thereby avoiding the situation that the user chooses goods which should be put down. The method provided by the embodiment of the disclosure can control the intelligent container to timely detect target commodities needing to be put off the shelf and put off the shelf, avoid the food safety problem and improve the user experience.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein.
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 diagram of some embodiments of a hotel intelligent robotic management device according to the present disclosure. As shown in fig. 3, the hotel intelligent robot management device includes: an acquisition unit 301, a determination unit 302, a processing unit 303, and a transmission unit 304. Wherein, the acquiring unit 301 is configured to acquire the commodity inventory, the original information and the existing information of each commodity in the hotel intelligent container when detecting the code scanning request of the user for the hotel intelligent container; a determining unit 302 configured to determine a target commodity based on the above-described original information and the above-described existing information of each commodity; a processing unit 303 configured to control the hotel intelligent container to automatically take the target commodity off-shelf and update the commodity inventory; and a transmitting unit 304 configured to transmit the updated commodity inventory to a purchase interface of the user.
In some optional implementations of some embodiments, the original information includes an original appearance picture, a production date, and a shelf life of each commodity, and the existing information includes an existing appearance picture and a date of the day of each commodity.
In some optional implementations of some embodiments, the determination unit 302 of the hotel intelligent robotic management device is further configured to: determining whether damaged commodities exist or not based on original appearance pictures and existing appearance pictures of the commodities; if a damaged commodity exists, the damaged commodity is determined as a target commodity.
In some optional implementations of some embodiments, the determination unit 302 of the hotel intelligent robotic management device is further configured to: determining whether an expired commodity exists based on the production date and the quality guarantee period of each commodity and the date of the day; and if the expired commodity exists, determining the expired commodity as a target commodity.
In some optional implementations of some embodiments, the processing unit 303 of the hotel intelligent robotic management device is further configured to: if the target commodity is a damaged commodity, controlling the hotel intelligent container to isolate the target commodity; controlling the hotel intelligent container to generate a manual taking-off instruction based on the target commodity; the hotel intelligent container is controlled to send the manual shelf-off instruction to the background; and controlling the hotel intelligent container to update the commodity inventory.
In some optional implementations of some embodiments, the processing unit 303 of the hotel intelligent robotic management device is further configured to: if the target commodity is an overdue commodity, controlling the hotel intelligent container to put the target commodity down to a container storage bin; and controlling the hotel intelligent container to update the commodity inventory.
In some optional implementations of some embodiments, the hotel intelligent robot management device is further configured to: and when the code scanning request of the user for the intelligent hotel container is not detected within the continuous preset time, controlling the intelligent hotel container to actively execute the automatic unloading method.
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 detecting a code scanning request of a user for a hotel intelligent container, acquiring commodity inventory, original information and existing information of each commodity in the hotel intelligent container; determining a target commodity based on the original information and the existing information of each commodity; controlling the hotel intelligent container to automatically take off the target commodity and update the commodity inventory; and sending the updated commodity inventory to a purchase interface of the user.
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 determination unit, a processing unit, and a transmission unit. The names of these units do not limit the unit itself in some cases, and for example, the acquiring unit may also be described as "a unit that acquires the inventory of the commodity, the original information of each commodity, and the existing information in the hotel intelligent container" when the code scanning request of the user for the hotel intelligent container is detected.
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 application 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 application. 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. The hotel intelligent robot management method is characterized by comprising the following steps of:
when detecting that tasks to be distributed exist in a task list of an associated intelligent robot, acquiring task information of the tasks to be distributed;
determining a target robot district and a target robot type based on the task information;
determining an alternative intelligent robot based on the target robot district and the target robot type and acquiring the current state of the alternative intelligent robot;
and selecting a target intelligent robot to execute the task to be distributed based on the current state of the candidate intelligent robot.
2. The hotel intelligent robot management method of claim 1, wherein the task information comprises: departure location, task completion location, and service type.
3. The hotel intelligent robot management method of claim 2, wherein the determining the target robot jurisdiction and the target robot type based on the task information comprises:
if the departure place and the task completion place are in the same robot district, determining that the same robot district is a target robot district;
and if the departure place and the task completion place are not in the same robot district, determining the robot district corresponding to the departure place as a target robot district.
4. The hotel intelligent robot management method of claim 3, wherein the target robot type comprises: a dispensing robot, a road robot, and a baggage consignment robot;
the determining the target robot district and the target robot type based on the task information comprises the following steps:
and obtaining the target robot type based on the service type, the corresponding relation between the service type and the target robot type.
5. The hotel intelligent robot management method of claim 4, wherein said determining an alternative intelligent robot and obtaining a current status of the alternative intelligent robot based on the target robot jurisdiction and the target robot type comprises:
acquiring the affiliated robot district and affiliated robot type of each intelligent robot;
determining robots of which the affiliated robot jurisdiction, the affiliated robot type, the target robot jurisdiction and the target robot type are consistent as alternative robots;
acquiring the current state of the alternative intelligent robot, wherein the current state comprises the following steps: the system comprises a current electric quantity, a current position and a current task state, wherein the current task state comprises a no-task state and an execution task state.
6. The hotel intelligent robot management method of claim 5, wherein selecting a target intelligent robot to perform the task to be assigned based on the current state of the candidate intelligent robot comprises:
determining whether an alternative intelligent robot with a current task state being a no-task state exists;
if so, determining whether the alternative intelligent robot with the current position in the target robot district exists in the alternative intelligent robots with no task state;
if so, selecting the alternative intelligent robot with the highest current electric quantity as a target intelligent machine;
and controlling the target intelligent robot to execute the task to be distributed.
7. The hotel intelligent robot management method of claim 6, wherein after said controlling said target intelligent robot to perform said task to be assigned, said method further comprises:
and controlling the target intelligent robot to return to the district of the robot to be standby.
8. An intelligent robot management device for a hotel, comprising:
the acquisition unit is configured to acquire task information of a task to be allocated when detecting that the task to be allocated exists in a task list of the associated intelligent robot;
a first determination unit configured to determine a target robot jurisdiction and a target robot type based on the task information;
a second determining unit configured to determine an alternative intelligent robot based on the target robot jurisdiction and the target robot type and acquire a current state of the alternative intelligent robot;
and the selection unit is configured to select a target intelligent robot to execute the task to be distributed based on the current state of the candidate intelligent robot.
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.
CN202310903749.6A 2023-07-21 2023-07-21 Hotel intelligent robot management method, device, electronic equipment and medium Pending CN116934036A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310903749.6A CN116934036A (en) 2023-07-21 2023-07-21 Hotel intelligent robot management method, device, electronic equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310903749.6A CN116934036A (en) 2023-07-21 2023-07-21 Hotel intelligent robot management method, device, electronic equipment and medium

Publications (1)

Publication Number Publication Date
CN116934036A true CN116934036A (en) 2023-10-24

Family

ID=88391986

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310903749.6A Pending CN116934036A (en) 2023-07-21 2023-07-21 Hotel intelligent robot management method, device, electronic equipment and medium

Country Status (1)

Country Link
CN (1) CN116934036A (en)

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