Hotel room management method and system

Abstract

The invention discloses a hotel room management method and system, and relates to the technical field of Internet of Things and equipment management, and the method comprises the steps: obtaining the room number of a hotel room and the module information in the room, and defining the unique equipment identifier of each piece of equipment in the room; the unique device identifier is bound with a room main control module, and the room main control module communicates with a remote platform; business scene presetting associated with the room type is established and issued on the remote platform, and the room main control module detects and executes equipment control action according to the received business scene presetting. According to the invention, each piece of equipment is ensured to be accurately monitored and managed on the system level, the operation processes of subsequent batch configuration and remote maintenance are simplified, and the hotel operation efficiency is greatly improved. And the room type template can be continuously optimized, scene configuration can be adjusted, personalized linkage control for different guest habits or room types can be realized, and the guest check-in experience can be obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things and equipment management, and in particular to a hotel room management method and system. Background Art

[0002] With the development of science and technology, the intelligentization of hotel rooms has become a trend. How to better serve hotels, improve the level of intelligent services, and how to manage room equipment in hundreds of hotels, how to locate, monitor, and operate and maintain equipment requires a good solution.

[0003] Hotels often have hundreds of rooms, each with 10-20 modules, which are divided into types such as relays and air conditioners. Managing, labeling, and debugging thousands of devices requires enormous manpower and material resources.

[0004] Currently, hotel room management generally relies on manual or fragmented control methods. Room equipment (such as air conditioners, lights, curtains, and sensors) lacks a unified management interface, making batch configuration and remote scenario-based control difficult. Due to the inability to effectively collect and analyze guest behavior data, hotels are often unable to provide refined intelligent services based on user habits.

[0005] To address the aforementioned issues in the existing technology, this paper proposes a hotel room management method. By establishing room templates and distributing business scenario configurations in batches via a remote platform, this method enables unified management and automated control of hotel room equipment. Furthermore, by leveraging profiling and association rule mining of device usage data, this method continuously optimizes and updates room scenario configurations, ultimately significantly improving hotel management efficiency and guest experience. Summary of the Invention

[0006] In view of the above-mentioned problems, the present invention is proposed.

[0007] Therefore, the technical problem solved by the present invention is that the management of existing hotel guest rooms generally relies on manual or scattered control methods. The equipment in each room (such as air conditioners, lights, curtains, sensors, etc.) lacks a unified management interface and it is difficult to achieve batch configuration and remote scenario control.

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, an embodiment of the present invention provides a hotel room management method, comprising obtaining a room number of a hotel room and module information in the room, and defining a unique device identifier for each device in the room; Bind the unique device identifier to the room master module, which then communicates with the remote platform; Establish and issue business scenario presets associated with the room type on the remote platform. The room master control module detects and executes device control actions based on the received business scenario presets.

[0009] As a preferred solution of the hotel room management method of the present invention, wherein: the module information includes module type, device and device quantity; The module types include relays, triggers, air conditioners, curtains and dimming; The equipment includes specific equipment under the module type; The unique device identifier includes a unique device identifier for each room, which consists of four bytes. The first byte indicates the module type, the second byte indicates the device, the third byte indicates the number of devices of the same module type in the room, and the fourth byte indicates the sorting number of the same device. After completion, a unique identifier for each device in the room is formed.

[0010] As a preferred embodiment of the hotel room management method of the present invention, the binding of the unique device identifier to the room master control module includes binding the room master control module to the unique device identifier of each device in the room, setting room information and writing the room number in the room master control module to form a binding between the room number and the devices in the room, thereby forming a management and control association relationship between the room master control module and each device; After the room master module is bound to the device in the room, the room master module communicates and reports normally with the remote platform, and the room master module associates the room number and the unique device identifier of the device in the room with the platform for communication.

[0011] As a preferred embodiment of the hotel room management method of the present invention, the step of establishing and issuing business scenario presets associated with room types on a remote platform includes establishing room templates on the remote platform, each room template being associated with multiple business scenarios, each business scenario being defined with clear triggering conditions and corresponding device control actions; According to the room type of the hotel room, associate the room with the room type template; Based on the relationship between the room and the room template, the remote platform sends the room template and the associated business scenario configuration to the corresponding room master control module; The room master module receives and parses the business scenario configuration, monitors the status of the equipment in the room according to the trigger conditions defined in the business scenario, and automatically executes the device control action defined in the business scenario when the preset trigger conditions are met.

[0012] As a preferred solution of the hotel room management method described in the present invention, wherein: each room template is associated with multiple business scenarios, including defining a business scenario name, trigger conditions and device control actions for each business scenario; Collect equipment usage data for different room types, conduct portrait analysis, and generate or optimize business scenarios for corresponding room types; The remote platform updates the room template based on the portrait analysis results and sends the updated business scenario configuration to the corresponding room master control module for execution.

[0013] As a preferred solution of the hotel room management method described in the present invention, wherein: the collected in-room device usage data under different room types includes device triggering events, device operating time, trigger sensor status and room status data; The portrait analysis includes pre-processing the collected equipment usage data, data cleaning, and eliminating invalid, abnormal or missing data; Calculate the average usage frequency, average single usage duration, and linkage probability between devices to form a feature vector of device usage behavior in the room. computing devices The average frequency of use under room type is expressed as: ; in, For equipment The average frequency of use, For devices The total number of trigger uses, The total number of occupancy days of the room during the statistical period; computing devices The average single usage duration is expressed as: ; in, For devices The average single usage time, For devices No. Second opening duration; Calculate the linkage probability between devices and analyze the linkage relationship between devices, which can be expressed as: ; in, For devices Trigger the device simultaneously when used The probability of For devices With equipment The number of times used simultaneously, For equipment Total number of separate uses; The average usage frequency, average single usage duration, and linkage probability between devices are combined into the device usage behavior feature vector in the room, which is expressed as: ; ; ; in, For the room Internal device usage behavior feature vector, For the room Number of devices inside, Using behavioral signature vectors for all devices in the room, , For room type The device usage behavior feature vectors of all rooms are as follows: For room type The first room down, For room type The next Rooms, , The number of room types.

[0014] As a preferred embodiment of the hotel room management method described in the present invention, the portrait analysis further includes using the established feature vectors of in-room device usage behavior to perform cluster analysis on device usage behavior, thereby grouping room types into several distinct categories. A clustering algorithm is used to derive a feature center vector for each category, wherein the feature center vector represents typical characteristics of room device usage, thereby forming a room portrait. Based on the feature center vectors and device linkage probability analysis results obtained from room type cluster analysis, an association rule mining algorithm is used to identify highly confident device linkage relationships in each room type. Linkage configuration scenarios are then created for device combinations with confidence levels exceeding a preset threshold. As new data continues to arrive, data collection, cleaning, and recalculation of various characteristic indicators are performed regularly. Room portrait clustering analysis and device linkage scenario optimization recommendations are performed again to obtain the feature center vector of the new room cluster. The feature center vector of the original cluster and the new data are used to update the feature center vector of the room cluster in a weighted manner to form a new room portrait.

[0015] As a preferred solution of the hotel room management method described in the present invention, wherein: the room master control module receives and parses the business scenario configuration, including extracting the trigger condition in the business scenario after the room master control module receives and parses the business scenario configuration issued by the platform; The devices in the room are equipped with a status feedback module. Each device automatically sends the current switch or operating status of the device to the room master module regularly and when the status changes. The room master module receives the status feedback information sent by the devices in the room and updates the local device status mapping table. The room master module compares the device status in the local device status mapping table with the business scenario trigger conditions issued by the platform in real time. If the device status in the local device status mapping table is consistent with the trigger conditions, it determines that the trigger conditions are met and executes the corresponding device control action; When the device status in the local device status mapping table is inconsistent with the trigger condition, the monitoring continues until it is detected that the trigger condition is met and then the corresponding device control action is executed.

[0016] As a preferred solution of the hotel room management method described in the present invention, the automatic execution of the device control action defined in the business scenario includes feeding back the business scenario execution result and status information to the remote platform after executing the device control action.

[0017] In a second aspect, an embodiment of the present invention provides a hotel room management system, comprising: Identification module: obtains the room number of the hotel room and the module information in the room, and defines the unique device identification of each device in the room; Binding module: binds the unique device identifier to the room master module, which communicates with the remote platform; Detection and execution module: Establish and issue business scenario presets associated with room types on the remote platform. The room master control module detects and executes device control actions based on the received business scenario presets.

[0018] Beneficial effects of the present invention: The present invention not only ensures accurate monitoring and management of each device at the system level by uniformly numbering and uniquely identifying the guest rooms and the equipment in the rooms, but also simplifies the operational procedures for subsequent batch configuration and remote maintenance, greatly improving the hotel's operating efficiency. At the same time, the combination of the room master control module and the remote platform enables seamless connection between business scenario configuration and real-time equipment monitoring, providing the hotel with an automated management method that can be quickly updated and flexibly expanded. The present invention can also continuously optimize room templates and adjust scene configurations to achieve personalized linkage control for different seasons, guest habits or room types, significantly improving the guest's stay experience. By mining high-confidence linkage relationships, potential synergy effects between devices can also be automatically discovered and applied to new business scenarios, further enhancing the intelligence and humanization of hotel room management. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive efforts. Among them: Figure 1 A flow chart of a hotel room management method according to an embodiment of the present application is shown in FIG. 1. DETAILED DESCRIPTION

[0020] In order to make the above objectives, features and advantages of the present application more apparent, specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work should fall within the protection scope of the present application.

[0021] Embodiment 1, Reference Figure 1 According to an embodiment of the present application, a hotel room management method is provided, which comprises: S1, obtaining a room number of a hotel room and module information in the room, and defining unique device identifiers of each device in the room.

[0022] In the present application, in order to realize intelligent and automatic management of hotel room devices, first, all rooms in the hotel need to be clearly identified and classified and managed. Specifically, the present step comprises the following contents: First, obtain the unique room number of each guest room in the hotel. The room number is an important identifier to distinguish different guest rooms in the hotel, and the numbers of each guest room are independent and not repeated.

[0023] The module information includes module type, device and device quantity.

[0024] The module type includes relay, trigger, air conditioner, curtain and dimming.

[0025] The device includes specific devices under the module type.

[0026] Further, the devices in the hotel room are clearly divided into modules. The hotel room is usually configured with multiple types of device modules, and the module type specifically includes but is not limited to relay module, trigger module, air conditioner module, curtain module and dimming module, etc. Each module type can be further divided into multiple specific devices, for example, the relay module can include socket switch, power controller; the trigger module can include infrared sensor, door magnetic sensor, radar sensor; the air conditioner module can include central air conditioner controller, split air conditioner controller; the curtain module can include electric curtain, electric roller shutter; the dimming module can include bedside lamp, wall lamp, ceiling lamp and other specific lighting devices.

[0027] Further, according to the above division, the unique device identifier of each device in the room is defined to ensure the uniqueness and identifiability of the device in the room or even the entire hotel. The device unique identifier is constituted in a fixed length of four bytes. Among them, the first byte is used to represent the module type to which the device belongs, the second byte represents the specific device under the module type, the third byte represents the number of devices of the same module type in a single room, and the fourth byte represents the sorting number of the same device in the room. For example, the device identifier of the socket switch under the relay module can be represented as (01, 01, 02, 01), which represents the socket switch 01 under the relay module 01, and there are two devices of the same type in the room, and this device is the first device. The device identifier of the central air conditioner controller under the air conditioner module can be represented as (03, 01, 01, 01), which represents the central air conditioner controller 01 under the air conditioner module 03, and there is only one such device in the room, and the sorting number is 01.

[0028] Through the above steps, the uniqueness definition and identifier generation of each device in the room are finally completed, thereby laying a foundation for the subsequent steps of binding the device with the room master module, realizing intelligent control of the device, and data interaction with the remote platform.

[0029] S2, bind the unique device identifier with the room master module, and the room master module communicates with the remote platform.

[0030] The room master module is bound with the unique device identifier of each device in the room, and the room information is set in the room master module, the room number is written, the binding of the room number and the devices in the room is formed, and the management and control association relationship of the room master module to each device is formed.

[0031] After the room master module is bound with the devices in the room, the room master module normally communicates with the remote platform and reports, and the room master module communicates with the platform to associate the room number and the unique device identifier of the devices in the room.

[0032] In this step, in order to realize intelligent management of the hotel room, the device unique identifier defined in the foregoing needs to be bound with the corresponding room master module, so as to realize unified monitoring and management of the device.

[0033] Firstly, the room master module obtains and stores the unique room number of the room, so as to identify and associate the room.

[0034] Then, the room master module binds with each device in the room, stores the unique device identification of each device into the room master module, and forms a clear binding relationship between the room number and the device identification. For example, the room number of the guest room is 1001, and the room master module stores the socket switch device identification (01, 01, 02, 01) and the central air conditioner controller device identification (03, 01, 01, 01), which indicates that the room master module establishes a clear management relationship with these devices.

[0035] The devices in the room are configured with a state feedback module, and each device automatically sends the current on-off or running state of the device to the room master module periodically and when the state changes. After receiving the state feedback information, the room master module updates the local device state mapping table in real time. For example, when the socket switch changes from opening to closing or vice versa, the state feedback module immediately sends the state information to the room master module, and the room master module updates the device state mapping table accordingly.

[0036] Finally, the room master module communicates with the remote platform by using a network communication method, uploads the room number, the unique identification of each device in the room, and the current running state information of the device to the remote platform, so that the platform can perform unified management, real-time monitoring, and remote control of the devices.

[0037] Specifically, the room master module sends a data packet containing the room number 1001, the device identification (01, 01, 02, 01), and the on-off state of the device to the remote platform through a wireless or wired network protocol (such as Wi-Fi or Ethernet).

[0038] Through the implementation of this step, necessary data support and management basis are provided for subsequent establishment and issuance of business scenario presets associated with the room type on the remote platform, and for the room master module to perform device control actions according to the received business scenario presets.

[0039] S3, establishing and issuing business scenario presets associated with the room type on the remote platform, and the room master module detecting and performing device control actions according to the received business scenario presets.

[0040] S3.1, establishing and issuing business scenario presets associated with the room type on the remote platform includes establishing a room type template on the remote platform, each room type template being associated with multiple business scenarios, and each business scenario defining a clear trigger condition and a corresponding device control action.

[0041] S3.2, according to the room type of the hotel room, associating the room with the room type template.

[0042] S3.3, based on the association relationship between the room and the room type template, the remote platform configures and issues the room type template and the associated business scenarios to the corresponding room master module.

[0043] S3.4, the room master module receives and analyzes the service scene configuration, monitors the device state in the room according to the trigger condition defined in the service scene, and automatically executes the device control action defined in the service scene when the preset trigger condition is detected.

[0044] Further, the remote platform can establish a room type template for each room type (for example: business room, parent-child room, cinema room, etc.), and each room type template includes a plurality of service scenes. Each service scene lists the executable trigger condition and device control action. The remote platform will deliver all service scenes in the corresponding room type template to the room master module of the corresponding room type module. At the same time, the hotel administrator can customize the room type and the plurality of service scenes included in the room type.

[0045] For example, if the conference mode service scene is preset in the business room type template, when the room master module detects that the check-in information matches the time period trigger condition, the device linkage in the conference mode can be automatically executed, such as adjusting the light brightness, closing the curtains, etc.

[0046] Specifically, for step S3.1, the following steps are included: S3.1.1, define the service scene name, trigger condition and device control action for each service scene.

[0047] For example, the check-in welcome scene, the trigger condition is that when it is detected that the check-in information has taken effect, and the door magnet or room radar sensor feedback that someone enters the room (for example, the power card has been inserted into the power card slot); the device control action is to automatically adjust the air conditioner to the preset comfortable temperature (for example, 24°C) and switch to the appropriate wind speed, automatically turn on part of the light (such as the main light or soft reading light), ensure the basic lighting of the room, and automatically open the curtains to a specified opening degree (such as 50%) according to the room type requirement, create a bright and comfortable room atmosphere.

[0048] The off-room energy-saving scene, the trigger condition is that when it is detected that there is no one in the room (such as the door magnet, radar or human body sensor has not detected activity for a long time) or the power card is removed from the power card slot, and the guest check-out registration has been completed; the device control action is to turn off all lighting lamps, including bedside lamps, wall lamps, ceiling lamps, etc., turn off or lower the air conditioning equipment (depending on the specific setting, directly turn off or enter low power consumption mode), close the curtains or switch to the default mode (if it is an open design, it can maintain moderate ventilation when there is no one in the room).

[0049] Smart linkage scenarios are triggered based on profile analysis and association rule mining results. For example, if the probability of device A being turned on is high, the probability of device B being triggered simultaneously is also high and exceeds the confidence threshold. The device control action is that when a guest turns on device A (such as a TV), device B is automatically awakened (e.g., by ambient lighting or closing curtains). If a guest turns off device A, device B is automatically turned off after a delay (e.g., in a resting scenario, the ceiling light automatically turns off 10 minutes after the TV is turned off).

[0050] S3.1.2. Collect equipment usage data for different room types, conduct portrait analysis, and generate or optimize business scenarios for the corresponding room types.

[0051] The device usage data in the room includes device trigger events, sensor status of the trigger, and room status data.

[0052] Device trigger events include switching, adjustment, mode switching, number of key presses, and device operation time.

[0053] Trigger sensor states include infrared, radar, human body, door sensor, power card, etc., and room status data includes rented, vacant, checked-in, and checked-out. Room device usage data includes device trigger events such as switching, adjustment, mode switching, key press count, device operating time, and trigger sensor states including infrared, radar, human body, door sensor, power card, etc., and room status data including rented, vacant, checked-in, and checked-out.

[0054] The remote platform can collect and store various types of data in a unified manner, and remove abnormal or missing data through preprocessing, data cleaning and other operations.

[0055] The remote platform then calculates the device's trigger frequency, usage duration, and interactions with other devices, combining this information into a behavioral feature vector, laying the foundation for profiling and subsequent scenario optimization. For example, if the analysis results in a business room show that the air conditioner is used frequently and its average single usage duration has a high probability of interacting with curtains, the remote platform may introduce a new business scenario in a subsequent update that automatically closes the curtains after the air conditioner has been on for a certain period of time.

[0056] Furthermore, profile analysis involves preprocessing and cleaning the collected device usage data, removing invalid, abnormal, or missing data, and calculating the average usage frequency, average single usage duration, and the probability of interaction between devices to form a feature vector of device usage behavior within the room. To address issues such as low occupancy rates and limited data samples in some rooms, the remote platform aggregates and analyzes data from all rooms of the same room type. This multi-room data constructs a group behavior feature vector, compensating for bias caused by insufficient single-room profile data and improving the model's generalization and the accuracy of scenario configuration.

[0057] Furthermore, the device in S3 The specific device identified by the unique device identifier determined in S1. For example, the device identifier (03,01,01,01) defined in S1 represents the central air conditioning controller under the air conditioning module in the room. The device in S3 analysis This specifically refers to the central air conditioning controller. After the room master module binds the device's unique identifier to the room number in S2, it can accurately collect and record the operating data of each device, thereby enabling precise identification and analysis during the profiling analysis in S3.

[0058] Specifically, the room in S3 Abbreviation or abstract expression of room number, symbol of equipment This is an abbreviation or abstract representation of a unique device identifier, used in statistical analysis to analyze data such as device usage frequency, usage duration, and device linkage relationships. On the one hand, it ensures the accuracy of data collection and analysis, ensuring that data analysis results accurately correspond to actual devices and avoiding confusion between similar devices. On the other hand, it facilitates efficient internal data processing and management, allowing the results of profiling analysis to be directly used for automated device configuration and control, thereby achieving refined, personalized, and intelligent management of hotel room equipment, significantly improving the accuracy and adaptability of business scenario configuration.

[0059] The following calculation is based on the equipment in a single room. The same method is used for other rooms in the hotel.

[0060] Calculate Room Equipment The average frequency of use under room type is expressed as: ; in, For equipment The average frequency of use, For equipment The total number of trigger uses, The total number of nights the room has been occupied during the statistical period.

[0061] Calculate Room Equipment The average single usage duration is expressed as: ; in, For devices The average single usage time, For devices No. The duration of the second opening.

[0062] Calculate Room The linkage probability between devices is analyzed and the linkage relationship between devices is expressed as: ; in, For equipment Trigger the device simultaneously when used The probability of For equipment With equipment The number of times used simultaneously, For devices The total number of times it is used alone.

[0063] The average usage frequency, average single usage duration, and linkage probability between devices are combined into the device usage behavior feature vector in room x, expressed as: ; ; ; in, For the room Internal device usage behavior feature vector, For the room Number of devices inside, Using behavioral signature vectors for all devices in the room, , For room type The device usage behavior feature vectors of all rooms are as follows: For room type The first room down, For room type The next Rooms, , The number of room types.

[0064] After the feature vectors of all the rooms in the room type are standardized by the platform, the feature vectors are classified according to the distance measurement criteria, and rooms with similar features are grouped into the same category. Each category represents a combination of rooms with similar device usage patterns in the same room type.

[0065] After clustering is completed, the platform extracts the feature center vector of the rooms in each category as a representative vector, representing the common features of the device usage in the category, and forms a portrait of the room type. For example, if the air conditioner usage frequency and single time duration are high in the center vector of a category, and the linkage probability with the curtain is significant, the category can represent a room type feature with high requirements for environmental comfort; another center vector with high lighting device on frequency and short duration indicates that its use is concentrated in short stays or night scenes, and the platform judges it as a room type feature that is biased towards functional use.

[0066] Room type clustering does not rely on subjective label setting, but is based on the aggregation results of structured data, and can stably divide a number of typical categories with common usage patterns in large sample room data. The platform generates room type portraits based on these categories, which are used as the basis for subsequent business scenario template configuration.

[0067] Furthermore, portrait analysis also includes clustering analysis of device usage behavior using the established room device usage behavior feature vector, and induction of the room type into several clear categories. Each category obtains a feature center vector of the cluster through clustering algorithm, and the feature center vector represents the typical features of the room type device usage, forming a room type portrait.

[0068] According to the feature center vector obtained by room type portrait clustering analysis and the device linkage probability analysis result, the remote platform can perform cross-room association rule mining based on the behavior feature vectors of multiple rooms. For low occupancy rate rooms with small data volume, high confidence linkage relationships in other rooms of the same room type can be introduced to construct an initial business scenario configuration. The platform realizes intelligent completion and migration configuration of business scenarios through behavior similarity matching and room type consistency analysis mechanism, ensuring that even in the case of insufficient single room data, mature and stable intelligent control experience can be provided for new guests.

[0069] With the continuous entry of new data, data collection, cleaning and recalculation of various feature indicators are regularly performed, and room type portrait clustering analysis and device linkage scenario optimization recommendation are performed again to obtain new feature center vectors of room type clustering. The original feature center vectors of clustering and new data are used to update the feature center vectors of room type clustering in a weighted manner to form new room type portraits.

[0070] Clustering analysis includes generating room type portrait categories using a k-means clustering algorithm, which is represented as: ; wherein, is the set of room type behavior feature vectors of the th cluster, is the feature center vector of the th cluster, is the total number of room type clusters, is the room type th room device usage behavior feature vector.

[0071] The association rule is used to analyze the device linkage rule in the room, and the scene configuration is optimized, which is represented as: ; wherein, is the confidence of the device usage after linkage with the device , is the probability of simultaneous use of the device and the device , is the probability of the device being used alone, if exceeds the preset confidence threshold, the device forms a linkage configuration scene with the device .

[0072] The portrait analysis step is periodically executed, and the newly added data is used for dynamic optimization of the room type portrait. The iteration update formula of the room type portrait is represented as: ; wherein, is the feature center vector of the th cluster after updating, representing the feature combination of device usage behavior of a specific room type (e.g. family room, business room, cinema room, etc.) after updating, is the feature center vector of the th cluster before updating, representing the existing device usage behavior feature combination of the room type before this data update, is the total number of rooms in a certain specific room type in the past, is the number of newly added rooms in a certain specific room type, is the device usage behavior feature vector of the newly added room.

[0073] S3.1.3, the remote platform updates the room type template according to the portrait analysis result, and distributes the updated business scene configuration to the corresponding room master module for execution.

[0074] ​The remote platform continuously optimizes, adds, or removes business scenarios for corresponding room types based on continuous analysis of device usage data. Once the platform completes a scenario update, it automatically distributes the updated business scenario to the room's main control module, ensuring it remains up-to-date. For example, if the platform discovers through data analysis that guests prefer to automatically turn off or dim lights in the evening, it can advance the trigger time for night mode or add new trigger conditions to ensure better sleep.

[0075] By combining portrait analysis with clustering algorithms, the device usage characteristics of rooms of different types are summarized to form room portraits. On this basis, through association rule mining, high-confidence device linkage relationships are further identified, and these high-confidence linkage relationships are converted into executable device linkage scenarios. When the platform continues to receive new data, it can iterate the original cluster centers with the help of weighted updates, thereby dynamically adapting to user habits and environmental changes. For example, if new data from a parent-child room continuously shows that guests often turn on the night light and air conditioner at the same time at night, the confidence of this linkage will be automatically increased. When the confidence reaches the preset threshold, the platform can set the linkage configuration scenario of automatically turning on the night light after turning on the air conditioner, ensuring that guests have a safer and more comfortable environment at night.

[0076] Furthermore, before issuing business scenario configurations, the remote platform compares group room profiles with the current room device usage. If the current room profile sample is insufficient or the behavioral characteristics are unclear, it can reference representative scenario configurations with similar profiles in the same room type as an initial reference to assist in completing the business scenario. This mechanism significantly improves the coverage and adaptability of intelligent configurations and is particularly suitable for room device control scenarios with large occupancy fluctuations or when they are first activated.

[0077] This invention overcomes the limitations of traditional room management systems, which rely solely on single-room data for control configuration, by introducing a cross-room data collaboration mechanism and analyzing group behavioral characteristics. By integrating usage data from multiple rooms of the same room type into modeling and intelligent reasoning, it effectively addresses the issue of low intelligent control capabilities in rooms with sparse data and low sample sizes. This allows high-occupancy rooms to drive intelligent scene completion in low-data rooms, significantly improving the overall intelligent management level of hotel rooms and the guest experience.

[0078] After the platform updates the room type template according to the image analysis result and issues the configuration in step S3.1.3, the room master module stores and analyzes the received service scene configuration, and executes the corresponding device control action in the case of meeting the triggering condition. It should be noted that the room type image and the corresponding scene configuration in the present application serve as the basis for the remote platform to build an initial scene template, and its role is to provide a unified default configuration scheme to improve the configuration efficiency and intelligent degree, but it does not constitute a mandatory execution rule for device control behavior.

[0079] As described in step S2, the room master module has established a binding relationship with the devices in the room, and obtains the current running state of each device in real time through the configured state feedback module to form a local device state mapping table. Before executing the service scene issued by the remote platform, the room master module needs to first compare the device state in the mapping table with the triggering condition defined in the service scene, and only in the case of meeting the preset condition, the corresponding device control action is executed. If the triggering condition is not met, it is not executed and enters the continuous monitoring state.

[0080] Therefore, when the room type image clustering result of the present application is used for scene configuration, it is only used as an initial parameter set of the room control strategy, and will not forcibly execute a control action that does not conform to the current use preference when the user behavior changes. For example, if the room type image default setting is to turn off the main light and air conditioner after 22:00, but the room master module continuously receives the state feedback information of the guest operating the main light or air conditioner in this period, it will judge that the triggering condition is not met, and will not execute the default scene action, avoiding the miscontrol or interference to the guest.

[0081] Although the room type image is mainly constructed based on the group behavior of similar rooms, the room master module does not blindly execute the default configuration when actually controlling and executing, but dynamically compares and judges in combination with the real-time device state feedback and the current behavior of the guest.

[0082] Specifically, if the user actively changes the device state at the control time point recommended by the image (such as turning on the light at the preset light-off period), the master module will recognize that the triggering condition is not met, refuse to execute the default action, and continuously monitor the subsequent behavior to ensure that the individual use habit is not miscontrolled.

[0083] In addition, the remote platform will periodically collect real-time behavior data of the room, and if the behavior deviates from the group characteristics for a long time, it can gradually migrate to a clustering category that is more in line with the characteristics of the room through the image dynamic updating mechanism, thereby improving the adaptation degree of scene configuration and guest habits.

[0084] The application ensures adaptive intelligent control by combining the current device state and the actual behavior of the occupant even if the device linkage configuration based on the room type portrait is adopted, and takes into account the group portrait efficiency and individual behavior difference, thereby improving the flexibility and practicality of the system.

[0085] In the service scenario configured by the platform in step S3.1.3, each scenario defines specific trigger conditions and device control actions, and the room master module judges whether the trigger conditions are met according to the device state feedback result, and automatically executes the control actions in the service scenario when the trigger conditions are met. The control objects include lighting modules, air conditioning modules, curtain modules and other main controllable devices in the guest room.

[0086] After executing the device control actions, the room master module switches the devices to the set state and continuously maintains or adjusts the control logic in combination with the subsequent state feedback. For example, in the "energy saving when leaving the room" service scenario, the trigger condition is that the power card is removed and it is detected that the room is unoccupied, and the master module automatically executes actions such as "turning off the lighting device", "turning off or adjusting the air conditioning device to low power consumption mode" and the like after the condition is met. Such control process does not rely on the active behavior of the occupant, but is automatically completed, effectively reducing the idle running time of the devices during the period when the occupant leaves the room or goes out.

[0087] Similarly, in the "night quiet" scenario, when the time reaches the preset evening time period, the master module judges the light state in the device state mapping table, and if the current state is on and there is no high-frequency activity detection in the room, the high-power lighting devices such as ceiling light and wall light are automatically dimmed or turned off.

[0088] The application realizes automatic adjustment and control of the running time of the devices by defining the control scenarios by the platform and combining the trigger judgment and state control of the master module, especially reducing unnecessary operation of the devices in the state of room vacancy, unoccupancy or inactivity. Without changing the device structure or energy efficiency level, the application effectively controls the running time through the management strategy, thereby reducing the running energy consumption of the air conditioning, lighting and other devices as a whole.

[0089] Specifically, for step S3.4, the room master module receives and analyzes the service scenario configuration issued by the platform, and extracts the trigger conditions in the service scenario.

[0090] The room master module records each trigger condition in the service scenario configuration locally to determine when to execute the corresponding device action. Relying on the state feedback module described in step S2, each device actively reports the current state (such as on / off, working mode, brightness, etc.) when the state changes or at a preset time interval. Once the room master module receives the device feedback information, it updates the local device state mapping table maintained locally, and compares it with the service scenario trigger condition in real time.

[0091] Furthermore, the devices in the room are equipped with a status feedback module. Each device automatically sends the current switch or operating status of the device to the room master module regularly and when the status changes. The room master module receives the status feedback information sent by the devices in the room and updates the local device status mapping table.

[0092] The room master control module compares the device status in the local device status mapping table with the business scenario trigger conditions issued by the platform in real time. If the device status in the local device status mapping table is consistent with the trigger conditions, it is determined that the trigger conditions are met and the corresponding device control action is executed.

[0093] When the device status in the local device status mapping table is inconsistent with the trigger condition, the monitoring continues until it is detected that the trigger condition is met and then the corresponding device control action is executed.

[0094] After executing the device control action, the business scenario execution results and status information are fed back to the remote platform.

[0095] Example 2 is the second embodiment of the present invention, which is different from the previous embodiment in that: If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art or the portion of the current technical solution, can be embodied in the form of a software product. The current computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0096] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0097] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, and then editing, interpreting, or processing in another suitable manner as necessary, and then storing it in a computer memory.

[0098] Example 3 is an embodiment of the present invention, which provides a hotel room management system, including an identification module, a binding module and a detection execution module.

[0099] Identification module: obtains the room number of the hotel room and the module information in the room, and defines the unique device identification of each device in the room.

[0100] Binding module: binds the unique device identifier to the room master module, and the room master module communicates with the remote platform.

[0101] Detection and execution module: Establish and issue business scenario presets associated with room types on the remote platform. The room master control module detects and executes device control actions based on the received business scenario presets.

[0102] Example 4 is an embodiment of the present invention, which provides a hotel room management method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation / comparative experiments.

[0103] The experiment used 10 standard business hotel rooms as the test scenario. The goal was to compare the performance of an intelligent room control system based on scenario-based control via a remote platform (hereinafter referred to as the "intelligent room control system") with a traditional room control system (which lacks centralized control and requires manual intervention). The focus was on the differences in room environment control response speed and guest satisfaction between the two systems. The experiment selected three typical guest room equipment: air conditioning, lighting, and curtains. The tests were conducted using simulated scenarios: "Welcome Upon Arrival" and "Energy Savings Upon Departure." The following is the experimental preparation and implementation process: An intelligent room control system has been deployed in 10 business-class guest rooms, connecting each room's air conditioning, lighting, and electric curtains to the hotel's centralized control network. Each room is equipped with a Room Control Unit (RCU) or equivalent intelligent gateway, which connects to the remote management platform. Under traditional systems, these devices operate independently, requiring manual operation individually via in-room switches or remote controls. With the intelligent room control system, all devices are connected to the network and can receive commands from the remote platform, achieving unified and coordinated control.

[0104] Technicians set parameters and calibrate the devices connected to the system, ensuring that the air conditioners, lights, and curtains can respond promptly to remote commands. For example, the air conditioner temperature control panel is set to a mode that can be controlled from the backend, the light switch is replaced with a smart dimming module, and the curtain motor is connected to a controller that can communicate remotely. The communication address of each device is registered in the system, making it easy for the platform to identify and control it individually. The curtain open / close position is also calibrated to ensure accurate movement when scenes are triggered.

[0105] On the hotel's room management backend (remote control platform), engineers preconfigured two types of scene control strategies: "Welcome" and "Departure Energy Saving." For the Welcome scenario, upon receiving a guest check-in or door unlocking event, the platform immediately sends a command to the room: the air conditioner switches to comfort mode (for example, automatically cooling to 25°C), the main and backlights turn on (adjusting brightness to a soft, bright setting), and the electric curtains automatically open (fully drawn during the day to let in natural light, or only the gauze curtains open at night to create a cozy atmosphere). For the Departure Energy Saving scenario, upon detecting a guest's departure (via a door magnetic sensor detecting the door is open and no one is present, or the front desk system receiving a check-out notification), the platform delays for several tens of seconds to confirm that no one has returned. Then, a shutdown command is issued: the air conditioner enters standby or energy-saving mode (disabling the compressor to maintain ventilation only), all lights turn off, and the curtains automatically close (closing curtains during the day to reduce direct sunlight and save energy, and drawing thick curtains at night to provide privacy).

[0106] To implement the above strategy, the corresponding trigger conditions and signal connections must be configured. In the experiment, the hotel's front desk management system (PMS) and guest room door lock system were connected to the intelligent room control platform. When the front desk checks a guest in and authorizes the room card, the platform receives a check-in notification. Simultaneously, the room door lock's door opening signal is transmitted to the platform. Upon detecting the guest's first card swipe, the welcome scene is triggered. Furthermore, magnetic field sensors and indoor infrared sensors installed at each room's entrance are linked to the system to monitor guest entry and exit and in-room activity. When the magnetic field detects a door opening and the infrared sensor remains inactive for a set period of time, the system determines that the guest has left the room, triggering the vacant energy-saving scene. By integrating these sensor signals with the platform's logic, scene triggering is fully automated, requiring no human intervention.

[0107] After the system was deployed and verified to be functioning properly, a multi-day actual occupancy simulation test was conducted. First, baseline data was obtained in the traditional room control mode: the intelligent linkage function was not enabled, the room was maintained in the traditional control mode, and the test personnel played the role of the occupant to complete the occupancy operation (inserting the room card to take power and manually turning on the air conditioner, turning on the light, and manually pulling open the curtain), and the time required for each device to be manually turned on at the time of occupancy was recorded; when leaving the room, the test personnel turned off each device one by one, and the time from leaving the room to the actual turning off of the device was recorded (in the traditional case, many devices may remain on, and the staff needs to check and turn off after the fact). Subsequently, the scene linkage function of the intelligent room control system was enabled, and real occupants or test personnel were invited to occupy the same room. Each time an occupant occupied the room, the system automatically executed the welcome scene; when the occupant left and pulled out the room card or the door magnetic sensor detected that the door was opened and the person left, the system automatically executed the energy-saving scene. In this stage, the system log and on-site observation were used to record the response time of the device under the intelligent system (such as the time taken by the air conditioner, light, and curtain to complete the action within a few seconds after receiving the occupancy trigger signal). Each room repeated the above process multiple times in the two modes to obtain reliable data. During the experiment, a questionnaire was also distributed to real occupants, and they were asked to evaluate the satisfaction of the room environment control (1-10) when they checked out, covering device response speed, ease of use, comfort, and other aspects.

[0108] The test personnel collected and organized the data obtained from the above experiment. For the response speed indicator, we mainly recorded the time taken from the trigger signal to the start of the air conditioner, the lighting of the light, and the start of the curtain in the occupancy welcome scene. In the traditional system, this is equivalent to the time interval for the occupant to turn on each device individually; in the intelligent system, it is the delay time of the system automatically executing. The average value of the multiple measurement results of all 10 rooms was taken to form the data of the response time of the air conditioner, light, and curtain in each guest room in the traditional mode and the intelligent mode. For the satisfaction indicator, we sorted the questionnaire scores and calculated the average satisfaction of each room during the traditional system (without enabling the intelligent linkage) and the average satisfaction after applying the intelligent room control system. Finally, the traditional system data and the intelligent room control system data of each room were correspondingly sorted into a table for comparative analysis.

[0109] The specific data content can be referred to Table 1 and Table 2. Table 1 Comparison table of response and satisfaction of traditional method-intelligent room control system

[0110] Table 2 Comparison table of response and satisfaction of the present application-intelligent room control system

[0111] The data in the table shows that the intelligent room control system of the present invention significantly improves both device response speed and user satisfaction compared to traditional room control systems. Taking device response speed as an example, the air conditioner takes an average of approximately 9 seconds to respond in a traditional system (guests often have to turn it on manually), while the intelligent system can start up in approximately 2 seconds, a nearly 80% reduction in response time. Regarding lighting, traditional manual lighting takes an average of approximately 4 seconds, while the intelligent system can illuminate lights within 1 second. The difference is even more pronounced with curtains: traditionally, guests often take 20 to 30 seconds to open the curtains (sometimes long after check-in), while the intelligent system can automatically open them in approximately 5 to 10 seconds. Overall, the intelligent room control system significantly reduces the response latency of each device through scene linkage, achieving fast and synchronized operation. This increased speed ensures that guests experience a comfortable environment the moment they enter the room: the air conditioner quickly begins adjusting the temperature, the lights instantly turn on, and the curtains open to greet them, eliminating the need to search for switches one by one as with traditional methods. Furthermore, when leaving the room, the intelligent system promptly shuts down all devices, avoiding the energy waste caused by long periods of idling in traditional systems.

[0112] The comparison results of user satisfaction scores also show that the intelligent room control system greatly improves the guest experience. Under the traditional control mode, the guest satisfaction scores are mostly concentrated in 6-8 points, and in individual cases, it is even lower (such as a room only gets 5 points, reflecting that some guests are not satisfied with the stay experience). After the intelligent system is enabled, the satisfaction of each room is generally improved to about 9 points, and some reach the full score of 10 points. The scores of almost every room are improved by 1-3 points. This means that after adopting the intelligent room control system, the evaluation of the room environment by the guests is significantly improved, and they think that the room is more comfortable and convenient. This is consistent with the situation observed on site: the automatic welcome scene makes the guests feel at home as soon as they enter the door - the room has already adjusted the light and temperature for them, saving the trouble of fumbling in the dark, looking for switches everywhere, and waiting for the air conditioner to cool down; when leaving the hotel, the guests do not have to worry about whether they have forgotten to turn off the lights or the air conditioner, and the system will automatically handle everything. This seamless intelligent experience improves the satisfaction and goodwill of the guests to the hotel service. Compared with the traditional system, the intelligent room control system of the present application embodies significant innovation and practicality in control efficiency, guest experience, and system scalability. First, in terms of control efficiency, the intelligent system controls air conditioners, lights, curtains, and other devices through a remote platform, greatly reducing manual operation and reaction delay, achieving one-key multi-control and automatic adjustment, which is not only fast but also highly accurate, eliminating the risk of human oversight (such as forgetting to turn off the lights when leaving the room). Hotel staff also do not need to check the device status room by room, reducing the operational workload. Second, in terms of guest experience, the intelligent room control provides guests with unprecedented convenience and comfort: technology creates a thoughtful welcome atmosphere for check-in, improving the service level of the hotel. The guests no longer need to take the trouble to familiarize themselves with various switches or manually operate the curtains, and the automatic service of the intelligent system makes the check-in process smoother and more enjoyable. This innovative service mode enhances the satisfaction and loyalty of the guests. Finally, in terms of system scalability, the architecture based on the remote platform enables the hotel to easily integrate more devices and functions into the room control system. For example, in the future, intelligent speakers, televisions, door locks, and even voice assistants can be added, and new scene control modes can be realized through software upgrades. The traditional room control system lacks a unified platform, making it difficult to achieve such expansion. The modular and expandable design of the intelligent room control system ensures its long-term application value and the ability to flexibly adjust and upgrade as the hotel's needs change. These innovations make the system not only improve the efficiency of control and management but also significantly improve the guest experience, thus having high practicality. In summary, the experimental data and analysis fully demonstrate the obvious advantages of the intelligent room control system based on the remote platform issuing scene control over the traditional manual control mode, and it has a high innovative application value and promotion prospect in the field of hotel room control.

[0113] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced, without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A hotel room management method, characterized in that: include: Obtain the hotel room number and module information in the room, and define the unique device identifier for each device in the room; Bind the unique device identifier to the room master module, which then communicates with the remote platform; Establish and issue business scenario presets associated with the room type on the remote platform. The room master control module detects and executes device control actions based on the received business scenario presets.

2. A hotel room management method as claimed in claim 1, characterized in that: The module information includes module type, device and device quantity; The module types include relays, triggers, air conditioners, curtains and dimming; The equipment includes specific equipment under the module type; The unique device identifier includes a unique device identifier for each room, which consists of four bytes. The first byte indicates the module type, the second byte indicates the device, the third byte indicates the number of devices of the same module type in the room, and the fourth byte indicates the sorting number of the same device. After completion, a unique identifier for each device in the room is formed.

3. A hotel room management method as claimed in claim 2, characterized in that, Binding the unique device identifier to the room master control module includes binding the room master control module to the unique device identifier of each device in the room, setting room information in the room master control module, writing the room number, forming a binding between the room number and the devices in the room, and forming a management and control association relationship between the room master control module and each device; After the room master module is bound to the device in the room, the room master module communicates and reports normally with the remote platform, and the room master module associates the room number and the unique device identifier of the device in the room with the platform for communication.

4. A hotel room management method as claimed in claim 3, characterized in that: The establishment and issuance of business scenario presets associated with room types on the remote platform includes establishing room templates through the remote platform, each room template being associated with multiple business scenarios, each business scenario being defined with clear triggering conditions and corresponding device control actions; According to the room type of the hotel room, associate the room with the room type template; Based on the relationship between the room and the room template, the remote platform sends the room template and the associated business scenario configuration to the corresponding room master control module; The room master control module receives and parses the business scenario configuration, monitors the status of the equipment in the room according to the trigger conditions defined in the business scenario, and automatically executes the device control action defined in the business scenario when the preset trigger conditions are met.

5. A hotel room management method as claimed in claim 4, characterized in that: Associating multiple business scenarios with each room template includes defining a business scenario name, trigger conditions, and device control actions for each business scenario; Collect equipment usage data for different room types, conduct portrait analysis, and generate or optimize business scenarios for corresponding room types; The remote platform updates the room template based on the portrait analysis results and sends the updated business scenario configuration to the corresponding room master control module for execution.

6. A hotel room management method as claimed in claim 5, characterized in that: The collected data on equipment usage in different room types includes equipment triggering events, equipment operation time, sensor status of triggers, and room status data; The portrait analysis includes pre-processing the collected equipment usage data, data cleaning, and eliminating invalid, abnormal or missing data; Calculate the average usage frequency, average single usage duration, and linkage probability between devices to form a feature vector of device usage behavior in the room. computing devices The average frequency of use under room type is expressed as, ； in, For equipment The average frequency of use, For equipment The total number of trigger uses, The total number of occupancy days of the room during the statistical period; computing devices The average single usage time is expressed as, ； in, For equipment The average single usage time, For equipment No. Second opening duration; Calculate the linkage probability between devices and analyze the linkage relationship between devices, which can be expressed as: ； in, For equipment Trigger the device simultaneously when used The probability of For equipment With equipment The number of times used simultaneously, For equipment Total number of separate uses; The average usage frequency, average single usage duration and linkage probability between devices are combined into the device usage behavior feature vector in the room, expressed as, ； ； ； in, For the room Internal device usage behavior feature vector, For the room Number of devices inside, Using behavioral signature vectors for all devices in the room, , For room type The device usage behavior feature vectors of all rooms are as follows: For room type The first room down, For room type The next Rooms, , The number of room types.

7. A hotel room management method as claimed in claim 6, characterized in that: The portrait analysis also includes using the established feature vectors of device usage behavior in the room to perform cluster analysis on device usage behavior, thereby grouping the room types into several clear categories. A clustering algorithm is used to derive a feature center vector for each category. The feature center vector represents the typical characteristics of device usage in the room type, thereby forming a room portrait. Based on the feature center vectors and device linkage probability analysis results obtained from room type cluster analysis, an association rule mining algorithm is used to identify highly confident device linkage relationships in each room type. Linkage configuration scenarios are then created for device combinations with confidence levels exceeding a preset threshold. As new data continues to arrive, data collection, cleaning, and recalculation of various characteristic indicators are performed regularly. Room portrait clustering analysis and device linkage scenario optimization recommendations are performed again to obtain the feature center vector of the new room cluster. The feature center vector of the original cluster and the new data are used to update the feature center vector of the room cluster in a weighted manner to form a new room portrait.

8. A hotel room management method as claimed in claim 7, characterized in that: The room master module receives and parses the business scenario configuration, including extracting the trigger conditions in the business scenario after the room master module receives and parses the business scenario configuration issued by the platform; The devices in the room are equipped with a status feedback module. Each device automatically sends the current switch or operating status of the device to the room master module regularly and when the status changes. The room master module receives the status feedback information sent by the devices in the room and updates the local device status mapping table. The room master module compares the device status in the local device status mapping table with the business scenario trigger conditions issued by the platform in real time. If the device status in the local device status mapping table is consistent with the trigger conditions, it determines that the trigger conditions are met and executes the corresponding device control action; When the device status in the local device status mapping table is inconsistent with the trigger condition, the monitoring continues until it is detected that the trigger condition is met and then the corresponding device control action is executed.

9. A hotel room management method as claimed in claim 8, characterized in that: The automatic execution of the device control action defined in the business scenario includes feeding back the business scenario execution result and status information to the remote platform after executing the device control action.

10. A hotel room management system, used to implement a hotel room management method according to any one of claims 1 to 9, characterized in that: include: Identification module, which obtains the room number of the hotel room and the module information in the room, and defines the unique device identification of each device in the room; The binding module binds the unique device identifier to the room master module, which communicates with the remote platform; The detection and execution module establishes and issues business scenario presets associated with the room type on the remote platform. The room master control module detects and executes device control actions based on the received business scenario presets.

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