Automatic hotel cleaning method and device, electronic equipment and medium

Abstract

The invention relates to the technical field of intelligent hotel management, and provides an automatic hotel cleaning method and device, electronic equipment and a medium. The method comprises the steps that a to-be-cleaned target room is determined; performing preliminary cleaning on the target room based on a preset cleaning sequence; if the preliminary cleaning is finished, the indoor environment is recognized, and a recognition result is obtained; and performing adaptive cleaning based on the recognition result. According to the method provided by the invention, the fixed cleaning program and the self-adaptive cleaning program are set, the fixed cleaning item and other cleaning items of the target room are respectively cleaned, the inspection link is set, and the final cleanliness is evaluated.

Description

Technical Field

[0001] The present disclosure relates to the technical field of hotel intelligent management, and in particular to a hotel automatic cleaning method, device, electronic equipment and medium. Background Art

[0002] With the advancement of science and technology, artificial intelligence technology has been widely used in people's lives. Hotel room cleaning is an important part of hotel management. Room cleaning consumes manpower and is prone to inadequate cleaning. Therefore, how to automatically clean hotel rooms and ensure the cleaning quality has become an urgent problem to be solved. Summary of the invention

[0003] In view of this, the embodiments of the present disclosure provide a hotel automatic cleaning method, device, electronic device and medium to solve the problem in the prior art of how to automatically clean hotel rooms and ensure the cleaning quality.

[0004] According to a first aspect of an embodiment of the present disclosure, a hotel automatic cleaning method is provided, including: determining a target room to be cleaned; performing preliminary cleaning on the target room based on a preset cleaning order; if the preliminary cleaning is completed, identifying the indoor environment and obtaining an identification result; and performing adaptive cleaning based on the identification result.

[0005] According to a second aspect of an embodiment of the present disclosure, there is provided an automatic cleaning device for a hotel, comprising: a determination unit, configured to determine a target room to be cleaned; a preliminary cleaning unit, configured to perform preliminary cleaning on the target room based on a preset cleaning order; an identification unit, configured to identify the indoor environment and obtain an identification result if the preliminary cleaning is completed; and an adaptive cleaning unit, configured to perform adaptive cleaning based on the identification result.

[0006] According to a third aspect of an embodiment of the present disclosure, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0007] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0008] Compared with the prior art, the embodiments of the present disclosure have the following beneficial effects: first, determine the target room to be cleaned; second, perform preliminary cleaning on the target room based on a preset cleaning sequence; then, if the preliminary cleaning is completed, identify the indoor environment and obtain the recognition result; finally, perform adaptive cleaning based on the recognition result. The method provided by the present disclosure first determines the target room to be cleaned, and then sets a preset cleaning sequence for the target cleaning room. The cleaning sequence here is for fixed cleaning items. The fixed cleaning items refer to the cleaning items that must be performed when cleaning each guest room, such as floor cleaning, bed sheet replacement, etc. After preliminary cleaning, determine whether there are other items to be cleaned in the indoor target room by identifying the indoor environment, and according to the recognition result, control the adaptive robot to perform adaptive cleaning according to the items to be cleaned corresponding to the recognition result. Finally, after two cleanings, identify the cleaning result and determine whether the cleanliness is greater than the preset cleanliness to determine whether the cleaning is thorough. The method provided by the present disclosure performs cleaning treatments on fixed cleaning items and other cleaning items in the target room by setting two cleaning programs, fixed cleaning and adaptive cleaning, and sets an inspection link to evaluate the final cleanliness. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0010] Figure 1 is a schematic diagram of an application scenario of the hotel automatic cleaning method according to some embodiments of the present disclosure;

[0011] Figure 2 is a flow chart of some embodiments of the hotel automatic cleaning method according to the present disclosure;

[0012] Figure 3 It is a schematic diagram of the structure of some embodiments of the hotel automatic cleaning device according to the present disclosure;

[0013] Figure 4 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0014] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0015] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0016] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0017] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0018] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0019] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0020] Figure 1 It is a schematic diagram of an application scenario of the hotel automatic cleaning method according to some embodiments of the present disclosure.

[0021] exist Figure 1 In the application scenario, first, the computing device 101 can determine the target room 102 to be cleaned. Secondly, the computing device 101 can perform preliminary cleaning 103 on the target room 102 based on a preset cleaning order. Then, if the preliminary cleaning 103 is completed, the computing device 101 can identify the indoor environment and obtain an identification result 104. Finally, the computing device 101 can perform adaptive cleaning based on the identification result 104, as shown in the figure numeral 105.

[0022] It should be noted that the computing device 101 can be hardware or software. When the computing device 101 is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or it can be implemented as a single server or a single terminal device. When the computing device 101 is embodied as software, it can be installed in the hardware devices listed above. It can be implemented as multiple software or software modules for providing distributed services, for example, or it can be implemented as a single software or software module. No specific limitation is made here.

[0023] It should be understood that Figure 1 The number of computing devices in the embodiment is only illustrative. Any number of computing devices may be provided according to implementation requirements.

[0024] Figure 2 Detailed description of the invention The invention is a flowchart of some embodiments of the hotel automatic cleaning method according to the present invention. Figure 2 The hotel automatic cleaning method can be Figure 1 The computing device 101 executes. Figure 2 As shown, the hotel automatic cleaning method includes:

[0025] Step S201, determining a target room to be cleaned.

[0026] In some embodiments, the target rooms may be several rooms that have been checked out by the customer but have not been cleaned.

[0027] Step S202: Perform preliminary cleaning on the target room based on a preset cleaning sequence.

[0028] In some embodiments, the preset cleaning order is a cleaning order set for fixed cleaning items, that is, the implementation order of fixed items. Here, the fixed cleaning items at least include: sweeping items, bathroom cleaning items, changing bed sheets items and vacuuming items. The execution subject of the hotel automatic cleaning method can perform preliminary cleaning of the above target room through the following steps:

[0029] The first step is to determine fixed cleaning items based on the target room; here, the fixed cleaning items are determined according to the pattern or layout of the target room, and different fixed cleaning items are set for different patterns and layouts.

[0030] The second step is to determine a preset cleaning sequence based on the above fixed cleaning items. Here, after determining the above fixed cleaning item list, the preset cleaning sequence is determined according to the fixed cleaning item list.

[0031] Step S203: if the above preliminary cleaning is completed, identify the indoor environment and obtain the identification result.

[0032] In some embodiments, the execution subject of the hotel automatic cleaning method can obtain the recognition result through the following steps:

[0033] The first step is to determine the fixed area range information corresponding to the fixed cleaning project if the above preliminary cleaning is completed; here, any fixed cleaning project corresponds to a fixed area range, as an example: the fixed area corresponding to the bathroom cleaning project is the bathroom area.

[0034] The second step is to obtain the target image information of the target room. Here, the adaptive cleaning robot is controlled to obtain the target image information of the target room based on the built-in camera. The target image information is all the image information of the target room including the fixed area.

[0035] The third step is to determine the adaptive cleaning range information based on the target image information and the fixed area range information. Here, based on the target image information and the fixed area range information, the range other than the fixed area range is determined as the adaptive cleaning range.

[0036] The fourth step is to identify the indoor environment based on the above-mentioned adaptive cleaning range information to obtain an identification result; here, after determining the adaptive cleaning range, the indoor environment of the adaptive cleaning range is identified to generate an identification result, and the identification result at least includes the location of the pollutants to be deeply cleaned and the type of pollutants to be deeply cleaned.

[0037] Step S204: performing adaptive cleaning based on the above recognition results.

[0038] In some embodiments, the execution subject of the hotel automatic cleaning method can perform adaptive cleaning by following the steps below:

[0039] The first step is to determine the cleaning items based on the types of pollutants to be deeply cleaned. Here, different cleaning items correspond to different types of pollutants to be deeply cleaned.

[0040] Step 2: Based on the above cleaning items and the above positions of the pollutants to be deeply cleaned, the adaptive robot is controlled to perform adaptive cleaning; here, after determining the above cleaning items, the adaptive robot is controlled to move to the above positions of the pollutants to be deeply cleaned according to the above positions of the pollutants to be deeply cleaned. Adaptive cleaning is performed on the pollutants to be deeply cleaned based on the cleaning items.

[0041] In some optional implementations of some embodiments, after controlling the adaptive robot to perform adaptive cleaning based on the cleaning items and the locations of the pollutants to be deeply cleaned, the method further includes:

[0042] The first step, if the above-mentioned adaptive cleaning is completed, the adaptive robot is controlled to obtain the image information and laser point cloud information of the interior of the room; here, after the preliminary cleaning and deep cleaning are completed, the adaptive robot is controlled to obtain all the image information and laser point cloud information of the interior of the room according to the built-in camera and laser point cloud acquisition device.

[0043] The second step is to determine the above-mentioned adaptive cleaning completion degree based on the above-mentioned image information and laser point cloud information; here, the adaptive cleaning completion degree is determined based on the combination of image information and laser point cloud information. The laser point cloud can be used to determine whether there are objects of a certain volume such as garbage, and the image information can be used to determine whether there are uncleaned stains, etc. The adaptive cleaning completion degree is determined based on the current cleaning situation. The adaptive cleaning completion degree can be a completion ratio or a completion score.

[0044] Step 3: If the above-mentioned adaptive cleaning completion degree is greater than the preset cleaning degree, it is determined that the cleaning is completed; here, the preset cleaning degree is set to determine whether the adaptive cleaning completion degree is qualified. If the above-mentioned adaptive cleaning completion degree is greater than the preset cleaning degree, it is determined that the cleaning is completed. Otherwise, the secondary cleaning is started again until the adaptive cleaning completion degree is greater than the preset cleaning degree, and the cleaning is determined to be completed. If there are cleaning items that the adaptive cleaning robot cannot handle, an alarm is issued.

[0045] Compared with the prior art, the embodiments of the present disclosure have the following beneficial effects: first, determine the target room to be cleaned; second, perform preliminary cleaning on the target room based on a preset cleaning sequence; then, if the preliminary cleaning is completed, identify the indoor environment and obtain the recognition result; finally, perform adaptive cleaning based on the recognition result. The method provided by the present disclosure first determines the target room to be cleaned, and then sets a preset cleaning sequence for the target cleaning room. The cleaning sequence here is for fixed cleaning items. The fixed cleaning items refer to the cleaning items that must be performed when cleaning each guest room, such as floor cleaning, bed sheet replacement, etc. After preliminary cleaning, determine whether there are other items to be cleaned in the indoor target room by identifying the indoor environment, and according to the recognition result, control the adaptive robot to perform adaptive cleaning according to the items to be cleaned corresponding to the recognition result. Finally, after two cleanings, identify the cleaning result and determine whether the cleanliness is greater than the preset cleanliness to determine whether the cleaning is thorough. The method provided by the present disclosure performs cleaning treatments on fixed cleaning items and other cleaning items in the target room by setting two cleaning programs, fixed cleaning and adaptive cleaning, and sets an inspection link to evaluate the final cleanliness.

[0046] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0047] The following are embodiments of the device disclosed herein, which can be used to execute the method embodiments disclosed herein. For details not disclosed in the device embodiments disclosed herein, please refer to the method embodiments disclosed herein.

[0048] Figure 3 Schematic diagram of the structure of some embodiments of the hotel automatic cleaning device according to the present disclosure. Figure 3 As shown, the hotel automatic cleaning device includes: a determination unit 301, a preliminary cleaning unit 302, an identification unit 303 and an adaptive cleaning unit 304. The determination unit 301 is configured to determine the target room to be cleaned; the preliminary cleaning unit 302 is configured to perform preliminary cleaning on the target room based on a preset cleaning sequence; the identification unit 303 is configured to identify the indoor environment and obtain an identification result if the preliminary cleaning is completed; and the adaptive cleaning unit 304 is configured to perform adaptive cleaning based on the identification result.

[0049] In some optional implementations of some embodiments, the determination unit 301 of the hotel automatic cleaning device is further configured to: determine the target room to be cleaned; perform preliminary cleaning on the target room based on a preset cleaning order; if the preliminary cleaning is completed, identify the indoor environment and obtain an identification result; and perform adaptive cleaning based on the identification result.

[0050] In some optional implementations of some embodiments, the hotel automatic cleaning device is further configured to: determine fixed cleaning items based on the target room; and determine a preset cleaning order based on the fixed cleaning items.

[0051] In some optional implementations of some embodiments, the above-mentioned fixed cleaning items include at least: a sweeping item, a bathroom cleaning item, a bed sheet changing item and a vacuuming item.

[0052] In some optional implementations of some embodiments, the recognition unit 303 of the hotel automatic cleaning device is further configured to: if the above-mentioned preliminary cleaning is completed, determine the fixed area range information corresponding to the fixed cleaning item; obtain the target image information of the above-mentioned target room; based on the above-mentioned target image information and the above-mentioned fixed area range information, determine the adaptive cleaning range information; based on the above-mentioned adaptive cleaning range information, identify the indoor environment to obtain the recognition result.

[0053] In some optional implementations of some embodiments, the above-mentioned identification results include: the location of the pollutants to be deeply cleaned, and the type of pollutants to be deeply cleaned.

[0054] In some optional implementations of some embodiments, the adaptive cleaning unit 304 of the hotel automatic cleaning device is further configured to: determine the cleaning items based on the types of pollutants to be deeply cleaned; and control the adaptive robot to perform adaptive cleaning based on the cleaning items and the locations of the pollutants to be deeply cleaned.

[0055] In some optional implementations of some embodiments, the hotel automatic cleaning device is further configured to: if the above-mentioned adaptive cleaning is completed, control the adaptive robot to obtain image information and laser point cloud information inside the room; determine the completion degree of the above-mentioned adaptive cleaning based on the above-mentioned image information and laser point cloud information; if the above-mentioned adaptive cleaning completion degree is greater than the preset cleanliness, determine that the cleaning is completed.

[0056] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

[0057] Reference below Figure 4 , which shows an electronic device (eg, Figure 1 Schematic diagram of the structure of the computing device 101)400. Figure 4 The server shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0058] like Figure 4 As shown, the electronic device 400 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage device 408 into a random access memory (RAM) 403. In the RAM 403, various programs and data required 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 via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0059] Typically, the following devices may be connected to the I / O interface 405: an input device 406 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 407 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 408 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 4The electronic device 400 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 4 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0060] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 409, or installed from the storage device 408, or installed from the ROM 402. When the computer program is executed by the processing device 401, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0061] It should be noted that the computer-readable medium in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, the computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0062] In some embodiments, the client and the server 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"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0063] The computer-readable medium may be included in the device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: determines the target room to be cleaned; performs preliminary cleaning on the target room based on a preset cleaning sequence; if the preliminary cleaning is completed, identifies the indoor environment and obtains a recognition result; and performs adaptive cleaning based on the recognition result.

[0064] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0065] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0066] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The units described may also be provided in a processor, for example, may be described as: a processor including a determination unit, a preliminary cleaning unit, an identification unit, and an adaptive cleaning unit. The names of these units do not, in some cases, constitute limitations on the units themselves, for example, the determination unit may also be described as a "unit for determining a target room to be cleaned".

[0067] The names of these units do not, in some cases, limit the units themselves. For example, the detection unit may also be described as a "unit for detecting whether the container is tilted based on a preset horizontal sensor."

[0068] 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: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0069] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A hotel automatic cleaning method, characterized in that: The method comprises: Identify target rooms to be cleaned; Based on a preset cleaning sequence, performing preliminary cleaning on the target room; If the preliminary cleaning is completed, the indoor environment is identified and an identification result is obtained; Based on the recognition result, adaptive cleaning is performed.

2. The hotel automatic cleaning method according to claim 1, characterized in that: The method for determining the preset cleaning sequence includes: Determine fixed cleaning items based on the target room; A preset cleaning sequence is determined based on the fixed cleaning items.

3. The hotel automatic cleaning method according to claim 2, characterized in that: The fixed cleaning items at least include: sweeping the floor, cleaning the bathroom, changing bed sheets and vacuuming.

4. The hotel automatic cleaning method according to claim 1, characterized in that: If the preliminary cleaning is completed, identifying the indoor environment and obtaining the identification result include: If the preliminary cleaning is completed, determining fixed area range information corresponding to the fixed cleaning items; Acquire target image information of the target room; Determining adaptive cleaning range information based on the target image information and the fixed area range information; The indoor environment is identified based on the adaptive cleaning range information to obtain an identification result.

5. The hotel automatic cleaning method according to claim 4, characterized in that: The identification result includes: the location of the pollutants to be deeply cleaned and the type of pollutants to be deeply cleaned.

6. The hotel automatic cleaning method according to claim 5, characterized in that: The step of performing adaptive cleaning based on the recognition result includes: Determine the cleaning items based on the types of pollutants to be deeply cleaned; Based on the cleaning items and the locations of the pollutants to be deeply cleaned, the adaptive robot is controlled to perform adaptive cleaning.

7. The hotel automatic cleaning method according to claim 6, characterized in that: After controlling the adaptive robot to perform adaptive cleaning based on the cleaning item and the location of the pollutants to be deeply cleaned, the method further includes: If the adaptive cleaning is completed, controlling the adaptive robot to obtain image information and laser point cloud information inside the room; Determining the adaptive cleaning completion degree based on the image information and the laser point cloud information; If the adaptive cleaning completion degree is greater than a preset cleaning degree, it is determined that the cleaning is completed.

8. An automatic cleaning device for a hotel, characterized in that: The device comprises: a determination unit configured to determine a target room to be cleaned; A preliminary cleaning unit, configured to perform preliminary cleaning on the target room based on a preset cleaning sequence; an identification unit, configured to identify the indoor environment and obtain an identification result if the preliminary cleaning is completed; The adaptive cleaning unit is configured to perform adaptive cleaning based on the recognition result.

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: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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