Hotel intelligent check-in management method and device based on internet of things

Abstract

The application discloses a hotel intelligent check-in management method and device based on an Internet of Things. The method comprises the following steps: acquiring check-in request data, which is used for representing data of a check-in request user; performing user portrait analysis processing on the check-in request data based on multi-dimensional feature fusion to obtain user portrait feature data; performing service link matching processing on the user portrait feature data to obtain target service link data, so as to execute the target service link data; the service link comprises a mobile service link, a self-service link and a fixed service link; when receiving check-in confirmation data, performing intelligent equipment individualization configuration processing according to the user portrait feature data to realize individualized check-in; and the check-in confirmation data is data of completing check-in registration of the user. Through the multi-dimensional feature fusion portrait analysis on the user, the corresponding service link is matched, and the intelligent control on the room scene is realized based on the Internet of Things, so as to meet the individualized check-in demand of the user on the hotel scene.

Description

Technical Field

[0001] This application relates to the field of the Internet of Things (IoT), and more specifically, to an IoT-based smart hotel check-in management method and device. Background Technology

[0002] The existing hotel front desk service model suffers from defects such as inefficient resource allocation, insufficient population coverage, and lack of technological links. Specifically, these include the following problems: limitations of traditional front desks: fixed spatial layout occupies physical resources, is prone to queuing and congestion during peak hours, and personnel / equipment are idle during off-peak hours; service coverage is only for human-interaction groups and cannot adapt to users with different levels of technological adaptability; existing self-service technologies only realize human-computer interaction services of a single self-service terminal and do not combine user profiles to segment and adapt to different groups, making it difficult to meet the differentiated needs of different groups.

[0003] Therefore, this application is made to address the problem of low personalization in existing services. Summary of the Invention

[0004] The main objective of this application is to provide a hotel smart check-in management method and device based on the Internet of Things, in order to solve the technical problem that the existing hotel check-in services have a low degree of personalization, and to achieve the technical effect of improving the degree of personalization.

[0005] To achieve the above objectives, the first aspect of this application proposes an Internet of Things-based intelligent hotel check-in management method, applied to a hotel check-in management system, to realize intelligent management of hotel check-in, including: Obtain check-in request data, wherein the check-in request data is data used to represent users who have check-in requests; The check-in request data is subjected to user profile analysis based on multi-dimensional feature fusion to obtain user profile feature data; The user profile feature data is processed by service link matching to obtain target service link data, and the target service link data is executed. The service links include mobile service links, self-service links and fixed service links. Upon receiving the check-in confirmation data, the smart device is configured in a personalized manner based on the user profile feature data to achieve personalized check-in. The check-in confirmation data is the data showing that the user has completed the check-in registration.

[0006] Furthermore, the check-in request data is subjected to user profile analysis based on multi-dimensional feature fusion to obtain user profile feature data including: The check-in request data is processed based on the request link to obtain first request link data, wherein the first request link data is link data used to represent a reservation request; The first request link data is subjected to multidimensional feature extraction processing to obtain multidimensional feature data, wherein the multidimensional feature data includes data for representing user basic information, behavioral characteristics and historical characteristics; The multidimensional feature data is processed into a user profile based on an fitness model to obtain the user profile feature data, wherein the user profile feature data is feature data used to represent the user's technological fitness.

[0007] Furthermore, the check-in request data is subjected to user profile analysis based on multi-dimensional feature fusion to obtain user profile feature data including: The check-in request data is processed based on the request link to obtain second request link data. The second request link data is link data used to represent the request of the hotel IoT device, including video stream data and wireless trigger data. The video stream data and the wireless trigger data are subjected to feature extraction processing based on multimodal fusion to obtain multimodal fusion feature data; The multimodal fusion feature data is processed into user profiles based on an fitness model to obtain the user profile feature data.

[0008] Furthermore, feature extraction processing based on multimodal fusion is performed on the video stream data and the wireless trigger data to obtain multimodal fusion feature data, including: The video stream data is subjected to behavior feature-based recognition processing to obtain user behavior feature data; The video stream data is subjected to auxiliary device recognition processing based on target detection to obtain user auxiliary feature data; The wireless trigger data is processed based on the identification of the triggering device to obtain user technology adaptation feature data; The user behavior feature data, the user auxiliary feature data, and the user technology feature data are subjected to multimodal feature fusion processing to obtain the multimodal fused feature data.

[0009] Further, the user profile feature data is subjected to service link matching processing to obtain target service link data, and the execution of the target service link data includes: Acquire service trigger data, wherein the service trigger data is data used to indicate that a user has entered the hotel's IoT detection range; The service trigger data is subjected to service link matching processing based on face recognition to obtain the target service link data; If the target service link data is a mobile service link, obtain the load data of the mobile service node, perform task allocation processing on the mobile service node according to the load data, and obtain task service node data so as to realize the task service node to perform check-in information collection. If the target service node data is a fixed service link, the hotel IoT display device generates fixed service node guidance data to enable the fixed service node to perform check-in information collection. If the target service node data is a self-service link, self-service guidance data is generated and sent to the user terminal to enable the self-service node to collect check-in information.

[0010] Furthermore, upon receiving check-in confirmation data, personalized configuration processing of smart devices is performed based on the user profile feature data to achieve personalized check-in, including: Match the guest room scene template data with the user profile feature data to obtain process scene configuration data; Retrieve user notes data; The user remarks data is subjected to semantic recognition feature extraction processing to obtain remarks scene feature data, wherein the remarks scene feature data is feature data used to represent the customer's remarks room scene; The process scenario configuration data is optimized based on the noted scenario feature data to obtain target scenario configuration data, and the user room is configured based on IoT devices based on the target scenario configuration data.

[0011] According to a second aspect of this application, an IoT-based smart hotel check-in management device is proposed, applied to a hotel check-in management system to achieve intelligent management of hotel check-in, including: The data acquisition module is used to acquire check-in request data, wherein the check-in request data is data used to represent users who have check-in requests; The user profiling module is used to perform user profiling analysis and processing on the check-in request data based on multi-dimensional feature fusion to obtain user profiling feature data. The service link matching module is used to perform service link matching processing on the user profile feature data to obtain target service link data, and to execute the target service link data. The service links include mobile service links, self-service links and fixed service links. The personalized configuration module is used to perform personalized configuration processing of smart devices based on the user profile feature data after receiving the check-in confirmation data, so as to realize personalized check-in. The check-in confirmation data is the data of the user completing the check-in registration.

[0012] Furthermore, the user profiling module includes: The request link identification module is used to perform request link-based identification processing on the check-in request data to obtain first request link data, wherein the first request link data is link data used to represent a reservation request; The feature extraction module is used to perform multi-dimensional feature extraction processing on the first request link data to obtain multi-dimensional feature data, wherein the multi-dimensional feature data includes data representing user basic information, behavioral characteristics and historical characteristics; The fitness module is used to perform user profiling based on the fitness model on the multidimensional feature data to obtain the user profile feature data, wherein the user profile feature data is feature data used to represent the user's technological fitness.

[0013] According to a third aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing the computer to execute the above-described Internet of Things-based smart hotel check-in management method.

[0014] According to a fourth aspect of this application, an electronic device is proposed, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to cause the at least one processor to perform the above-described Internet of Things-based smart hotel check-in management method.

[0015] The technical solutions provided by the embodiments of this application may include the following beneficial effects: In this application, check-in request data is obtained, wherein the check-in request data is data representing users with check-in requests; the check-in request data is subjected to user profile analysis processing based on multi-dimensional feature fusion to obtain user profile feature data; the user profile feature data is subjected to service link matching processing to obtain target service link data, and the target service link data is executed, wherein the service link includes mobile service link, self-service link, and fixed service link; upon receiving check-in confirmation data, intelligent device personalized configuration processing is performed according to the user profile feature data to achieve personalized check-in, wherein the check-in confirmation data is the data of the user completing check-in registration. By performing multi-dimensional feature fusion profile analysis on users, matching corresponding service links, and realizing intelligent control of room scenarios based on the Internet of Things, the personalized check-in needs of users in hotel scenarios are met. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application. In the drawings: Figure 1 A flowchart illustrating an IoT-based smart hotel check-in management method provided in this application; Figure 2 A flowchart illustrating an IoT-based smart hotel check-in management method provided in this application; Figure 3 A flowchart illustrating an IoT-based smart hotel check-in management method provided in this application; Figure 4 A schematic diagram of a smart hotel check-in management device based on the Internet of Things provided in this application; Figure 5 A schematic diagram of another IoT-based smart hotel check-in management device provided for this application. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] In this application, the terms "upper," "lower," "left," "right," "front," "rear," "top," "bottom," "inner," "outer," "middle," "vertical," "horizontal," "lateral," and "longitudinal" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing this application and its embodiments, and are not intended to limit the indicated device, element, or component to having a specific orientation, or to be constructed and operated in a specific orientation.

[0020] Furthermore, in addition to indicating location or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in some cases to indicate a certain dependency or connection relationship. Those skilled in the art can understand the specific meaning of these terms in this application based on the specific circumstances.

[0021] Furthermore, the terms "installation," "setup," "equipped with," "connection," "linked," and "socketing" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or an internal connection between two devices, components, or parts. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0022] In some optional embodiments of this application, an IoT-based intelligent hotel check-in management method is proposed and applied to a hotel check-in management system to achieve intelligent management of hotel check-in. Figure 1 A flowchart of an IoT-based smart hotel check-in management method provided in this application is shown below. Figure 1 As shown, the method includes the following steps: S101: Obtain check-in request data; The check-in request data represents data used to indicate users with check-in requests. It includes first check-in request data and second check-in request data. The first check-in request data is generated when a user initiates a hotel reservation, either through the hotel's app or through the platform. This includes user information such as identity information and reservation details, user behavior information collected through tracking points (e.g., room browsing, click paths, information reading), and user device information such as phone model, version, Bluetooth, and Wi-Fi information. The second check-in request data is generated when a user arrives at the hotel and enters the hotel's IoT devices. This data is collected through the hotel's IoT devices, including sensor information such as mobile phone Bluetooth beacon / iBeacon detection and Wi-Fi probe MAC address sniffing, as well as video stream data collected by image sensors.

[0023] In an optional embodiment of this application, when a user has a reservation, the check-in request data includes first check-in request data and second check-in request data; when the user is not a user with a reservation, the check-in request data is the second check-in request data.

[0024] S102: Perform user profile analysis and processing on the check-in request data based on multi-dimensional feature fusion to obtain user profile feature data; In some optional embodiments of this application, an IoT-based smart hotel check-in management method is proposed. Figure 2 A flowchart of an IoT-based smart hotel check-in management method provided in this application is shown below. Figure 2 As shown, the method includes the following steps: S201: Perform request link-based identification processing on the check-in request data to obtain the first request link data; The first request link data is used to indicate that there is a reservation request; S202: Perform multi-dimensional feature extraction processing on the first request link data to obtain multi-dimensional feature data; Multidimensional feature data includes data used to represent basic user information, behavioral characteristics, and historical characteristics; S203: Perform user profiling processing on multidimensional feature data based on an fitness model to obtain user profile feature data.

[0025] User profile feature data is feature data used to represent a user's technological adaptability.

[0026] In an optional embodiment of this application, the fitness model is a pre-trained model that acquires historical check-in data, APP behavior data, and real-time perception data of sample users. The real-time perception data includes at least the lobby stay time and the usage characteristics of hotel IoT devices. The data of the above sample users are processed by multi-dimensional feature vector extraction. Users are stratified by clustering algorithm, and a regression model is trained to predict the user's technology fitness score. The user stratification labels and technology fitness scores are associated and stored in the user profile database.

[0027] In some optional embodiments of this application, a hotel smart check-in management method based on the Internet of Things includes: The check-in request data is processed based on the request link to obtain the second request link data, which is the link data used to represent the request of the hotel IoT device, including video stream data and wireless trigger data. The video stream data and wireless trigger data are processed based on multimodal fusion to obtain multimodal fusion feature data. The multimodal fusion feature data is processed based on the fitness model to obtain user profile feature data.

[0028] In some optional embodiments of this application, feature extraction processing based on multimodal fusion is performed on video stream data and wireless trigger data to obtain multimodal fusion feature data, including: The video stream data undergoes behavioral feature-based recognition processing to obtain user behavioral feature data, which includes behavioral characteristics indicating loitering in the lobby and intention to use self-service equipment. The video stream data also undergoes assistive device recognition processing based on object detection to obtain user assistive feature data, where assistive devices can include wheelchairs, canes, luggage, etc. Wireless trigger data undergoes trigger device-based recognition processing to obtain user technology adaptation feature data, which is obtained by identifying user smart terminal devices based on methods such as mobile phone Bluetooth beacon / iBeacon detection and WiFi probe MAC address sniffing. Finally, multimodal feature fusion processing is performed on the user behavioral feature data, user assistive feature data, and user technology feature data to obtain multimodal fused feature data.

[0029] S103: Perform service link matching processing on user profile feature data to obtain target service link data, and then execute the target service link data; Service links include mobile service links, self-service links, and fixed service links; In some optional embodiments of this application, an IoT-based smart hotel check-in management method is proposed. Figure 3 A flowchart of an IoT-based smart hotel check-in management method provided in this application is shown below. Figure 3 As shown, the method includes the following steps: S301: Obtain service trigger data; Service trigger data is used to indicate that a user has entered the hotel's IoT detection range; S302: Perform service link matching processing based on face recognition on the service trigger data to obtain the target service link data; When a user is detected entering the hotel's IoT sensing range, the execution of the target service link is triggered, and the user's biometric information is collected through IoT terminal devices; the biometric information is then compared and verified at the edge with a pre-stored identity feature database.

[0030] S303: Execute target service link data.

[0031] If the target service link data is a mobile service link, obtain the load data of the mobile service node, perform task allocation processing on the mobile service node according to the load data, and obtain the task service node data so as to realize the task service node to collect check-in information. In an optional embodiment of this application, the mobile service link is a mobile PAD service link. When a user enters the hotel's IoT sensing range, the edge computing node triggers an event push to the dispatch center. The dispatch center assigns service task notifications to the PAD terminal of the target service personnel based on the service personnel's location and load status. The task notification includes at least the user's photo and room type preference. The camera of the target PAD terminal collects facial images and sends them to the server. The server compares the on-site facial images with pre-stored facial features in the reservation database. After successful comparison, a one-time verification token is generated to complete the collection of check-in information and check-in procedures. The IoT gateway writes electronic room card permissions to the smart door lock of the target room.

[0032] If the target service node data is a fixed service link, the hotel IoT display device generates fixed service node guidance data to enable the fixed service node to perform check-in information collection. In an optional embodiment of this application, the fixed service link is a fixed front desk service link. When a user enters the hotel's IoT sensing range, if a user is identified as staying in the hotel lobby for a period of time exceeding a preset time, fixed front desk guidance data is generated. The fixed front desk collects the user's ID information and image information for verification. After verification, an electronic room card or physical room card is generated to complete the collection of check-in information and check-in procedures.

[0033] If the target service node data is a self-service link, generate self-service guidance data and send it to the user terminal to enable the self-service node to collect check-in information.

[0034] In an optional embodiment of this application, the self-service link is a self-service terminal link. When a user enters the hotel's IoT sensing range, self-service terminal guidance data is generated. The self-service terminal collects the user's image data and ID card through a camera and a card reader, respectively, and verifies the user's ID information and image information. After verification, an electronic room card or physical room card is generated to complete the check-in information collection and check-in process.

[0035] S104: Upon receiving check-in confirmation data, the system performs personalized configuration of smart devices based on user profile feature data to achieve personalized check-in.

[0036] Check-in confirmation data refers to the data showing that the user has completed the check-in registration.

[0037] In some optional embodiments of this application, an IoT-based smart hotel check-in management method is provided, including: Matching guest room scene template data with user profile feature data yields process scene configuration data; acquiring user remarks data; performing semantic recognition feature extraction on user remarks data yields remarks scene feature data, which represents the features of the guest room scene noted by the customer. The guest room scene includes at least the preset temperature value, light brightness value, curtain opening / closing status, and TV welcome page; optimizing the process scene configuration data based on the remarks scene feature data yields target scene configuration data, and configuring the user room based on IoT devices based on the target scene configuration data, sending configuration commands to the smart thermostat, smart light controller, smart curtain motor, and smart TV in the target guest room through the IoT gateway.

[0038] In some optional embodiments of this application, an IoT-based smart hotel check-in management device is provided, applied to a hotel check-in management system to achieve intelligent management of hotel check-in. Figure 4 A schematic diagram of a hotel smart check-in management device based on the Internet of Things provided in this application is shown below. Figure 4 As shown, it includes: The data acquisition module 41 is used to acquire check-in request data, wherein the check-in request data is data used to represent users who have check-in requests; User profile module 42 is used to perform user profile analysis and processing on the check-in request data based on multi-dimensional feature fusion to obtain user profile feature data. The service link matching module 43 is used to perform service link matching processing on the user profile feature data to obtain target service link data, and to execute the target service link data. The service links include mobile service links, self-service links and fixed service links. The personalized configuration module 44 is used to perform personalized configuration processing of smart devices based on the user profile feature data after receiving the check-in confirmation data, so as to realize personalized check-in. The check-in confirmation data is the data of the user completing the check-in registration.

[0039] In some optional embodiments of this application, an IoT-based smart hotel check-in management device is provided. Figure 5 A schematic diagram of another IoT-based smart hotel check-in management device provided in this application is shown below. Figure 5 As shown, it includes: The request link identification module 51 is used to perform request link-based identification processing on the check-in request data to obtain first request link data, wherein the first request link data is link data used to represent a reservation request; The feature extraction module 52 is used to perform multi-dimensional feature extraction processing on the first request link data to obtain multi-dimensional feature data, wherein the multi-dimensional feature data includes data representing user basic information, behavioral characteristics and historical characteristics; The fitness module 53 is used to perform user profile processing based on the fitness model on the multidimensional feature data to obtain the user profile feature data, wherein the user profile feature data is feature data used to represent the user's technological fitness.

[0040] The specific methods of execution of each unit in the above embodiments have been described in detail in the embodiments of the method, and will not be elaborated here.

[0041] In summary, this application involves obtaining check-in request data, which represents data indicating a user with a check-in request; performing user profile analysis based on multi-dimensional feature fusion on the check-in request data to obtain user profile feature data; performing service link matching processing on the user profile feature data to obtain target service link data, which is then executed. The service links include mobile service links, self-service links, and fixed service links. Upon receiving check-in confirmation data, personalized configuration processing for smart devices is performed based on the user profile feature data to achieve personalized check-in. The check-in confirmation data represents the user's completed check-in registration data. By performing multi-dimensional feature fusion profiling analysis on users, matching corresponding service links, and implementing intelligent control of the room environment based on the Internet of Things, the application aims to meet users' personalized check-in needs in a hotel setting.

[0042] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0043] Obviously, those skilled in the art should understand that the various units or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device, or fabricating them separately as individual integrated circuit modules, or fabricating multiple modules or steps into a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0044] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A smart hotel check-in management method based on the Internet of Things, characterized in that, Applied to hotel check-in management systems to achieve intelligent management of hotel check-in, including: Obtain check-in request data, wherein the check-in request data is data used to represent users who have check-in requests; The check-in request data is subjected to user profile analysis based on multi-dimensional feature fusion to obtain user profile feature data; The user profile feature data is processed by service link matching to obtain target service link data, and the target service link data is executed. The service links include mobile service links, self-service links and fixed service links. Upon receiving the check-in confirmation data, the smart device is configured with personalized features based on the user profile data to achieve personalized check-in. The check-in confirmation data is the data showing that the user has completed the check-in registration.

2. The hotel smart check-in management method based on the Internet of Things according to claim 1, characterized in that, The check-in request data is subjected to user profile analysis based on multi-dimensional feature fusion to obtain user profile feature data including: The check-in request data is processed based on the request link to obtain first request link data, wherein the first request link data is link data used to represent a reservation request; The first request link data is subjected to multidimensional feature extraction processing to obtain multidimensional feature data, wherein the multidimensional feature data includes data for representing user basic information, behavioral characteristics and historical characteristics; The multidimensional feature data is processed into a user profile based on an fitness model to obtain the user profile feature data, wherein the user profile feature data is feature data used to represent the user's technological fitness.

3. The hotel smart check-in management method based on the Internet of Things according to claim 1, characterized in that, The check-in request data is subjected to user profile analysis based on multi-dimensional feature fusion to obtain user profile feature data including: The check-in request data is processed based on the request link to obtain second request link data. The second request link data is link data used to represent the request of the hotel IoT device, including video stream data and wireless trigger data. The video stream data and the wireless trigger data are subjected to feature extraction processing based on multimodal fusion to obtain multimodal fusion feature data; The multimodal fusion feature data is processed into user profiles based on an fitness model to obtain the user profile feature data.

4. The IoT-based intelligent hotel check-in management method according to claim 2, characterized in that, The video stream data and the wireless trigger data are subjected to feature extraction processing based on multimodal fusion to obtain multimodal fusion feature data, including: The video stream data is subjected to behavior feature-based recognition processing to obtain user behavior feature data; The video stream data is subjected to auxiliary device recognition processing based on target detection to obtain user auxiliary feature data; The wireless trigger data is processed based on the identification of the triggering device to obtain user technology adaptation feature data; The user behavior feature data, the user auxiliary feature data, and the user technology feature data are subjected to multimodal feature fusion processing to obtain the multimodal fused feature data.

5. The IoT-based intelligent hotel check-in management method according to claim 1, characterized in that, The user profile feature data is subjected to service link matching processing to obtain target service link data. Execution of the target service link data includes: Acquire service trigger data, wherein the service trigger data is data used to indicate that a user has entered the hotel's IoT detection range; The service trigger data is subjected to service link matching processing based on face recognition to obtain the target service link data; If the target service link data is a mobile service link, obtain the load data of the mobile service node, perform task allocation processing on the mobile service node according to the load data, and obtain task service node data so as to realize the task service node to perform check-in information collection. If the target service node data is a fixed service link, the hotel IoT display device generates fixed service node guidance data to enable the fixed service node to perform check-in information collection. If the target service node data is a self-service link, self-service guidance data is generated and sent to the user terminal to enable the self-service node to collect check-in information.

6. The hotel smart check-in management method based on the Internet of Things according to claim 1, characterized in that, Upon receiving check-in confirmation data, the system performs personalized configuration processing for smart devices based on the user profile feature data to achieve personalized check-in, including: Match the guest room scene template data with the user profile feature data to obtain process scene configuration data; Retrieve user notes data; The user remarks data is subjected to semantic recognition feature extraction processing to obtain remarks scene feature data, wherein the remarks scene feature data is feature data used to represent the customer's remarks room scene; The process scenario configuration data is optimized based on the noted scenario feature data to obtain target scenario configuration data, and the user room is configured based on IoT devices based on the target scenario configuration data.

7. A smart hotel check-in management device based on the Internet of Things, characterized in that, Applied to hotel check-in management systems to achieve intelligent management of hotel check-in, including: The data acquisition module is used to acquire check-in request data, wherein the check-in request data is data used to represent users who have check-in requests; The user profiling module is used to perform user profiling analysis and processing on the check-in request data based on multi-dimensional feature fusion to obtain user profiling feature data. The service link matching module is used to perform service link matching processing on the user profile feature data to obtain target service link data, and to execute the target service link data. The service links include mobile service links, self-service links and fixed service links. The personalized configuration module is used to perform personalized configuration processing of smart devices based on the user profile feature data after receiving the check-in confirmation data, so as to realize personalized check-in. The check-in confirmation data is the data of the user completing the check-in registration.

8. The IoT-based intelligent hotel check-in management device according to claim 7, characterized in that, The user profile module includes: The request link identification module is used to perform request link-based identification processing on the check-in request data to obtain first request link data, wherein the first request link data is link data used to represent a reservation request; The feature extraction module is used to perform multi-dimensional feature extraction processing on the first request link data to obtain multi-dimensional feature data, wherein the multi-dimensional feature data includes data representing user basic information, behavioral characteristics and historical characteristics; The fitness module is used to perform user profiling based on the fitness model on the multidimensional feature data to obtain the user profile feature data, wherein the user profile feature data is feature data used to represent the user's technological fitness.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the Internet of Things-based smart hotel check-in management method according to any one of claims 1-6.

10. An electronic device, characterized in that, include: At least one processor; The system also includes a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to cause the at least one processor to perform the Internet of Things-based smart hotel check-in management method according to any one of claims 1-6.

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