Smart hotel operation platform based on digital twin technology and Internet of Things

Abstract

The invention discloses a smart hotel operation platform based on a digital twin technology and an internet of things. The smart hotel operation platform comprises a hardware equipment layer, an internet of things platform and a digital twin hotel system, and the hardware equipment layer comprises guest control equipment, a public area gateway, a host, public area detection equipment and security equipment. According to the intelligent hotel operation platform based on the digital twinning and the Internet of Things, the core pain points that a traditional hotel is high in labor cost, serious in energy waste and blind in decision making are effectively solved, automation and intellectualization of operation management are achieved through the platform, and the labor cost and the energy consumption cost are remarkably reduced; through data driving and analog simulation, decision scientificity and operation efficiency are improved; by means of personalized environment regulation and quick service response, the customer experience and the market attraction are greatly enhanced; and an active security and emergency system is established, so that the anti-risk capability of the hotel is comprehensively enhanced, and key support is provided for digital transformation and sustainable development of the hotel industry.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of hotel operation, and in particular to a smart hotel operation platform based on digital twin technology and the Internet of Things. BACKGROUND

[0002] Traditional hotels are facing multiple challenges under the current environment: the labor cost accounts for 25%-35%, energy is wasted seriously (the energy consumption of air conditioning and lighting is more than 70%), the RevPAR in 2024 decreases by 6% compared with the previous year; the service relies on manual work, which leads to a response lag (20 minutes on average), and 68% of young consumers think that the traditional hotel lacks attraction; 78% of traditional hotels have not deployed intelligent systems, and the future development of traditional hotels faces severe challenges; the traditional hotel has the following problems: 1. the operation mode highly dependent on manpower leads to low efficiency and high cost; 2. the decision-making is blind due to the lack of data support, and it is difficult to meet the demand of the new generation of passengers for technology and individualization; 3. energy is wasted seriously and the anti-risk ability is weak; in view of the above, the application provides a smart hotel operation platform based on digital twin technology and the Internet of Things. SUMMARY

[0003] Based on the technical problems existing in the background technology, the application provides a smart hotel operation platform based on digital twin technology and the Internet of Things.

[0004] The smart hotel operation platform based on digital twin technology and the Internet of Things provided by the application comprises a hardware device layer, an Internet of Things platform and a digital twin hotel system. The hardware device layer comprises guest control devices, public area gateways and host computers, public area detection devices and security devices. The Internet of Things platform comprises a sensing layer, a network transmission layer module, a platform application layer module, a device control layer module and a security protection module. The digital twin hotel system comprises a data acquisition and access layer, a digital twin modeling layer, a data fusion and analysis layer, a visual control layer, a business application and interaction layer and a feedback and control execution layer.

[0005] Preferably, the guest control device comprises a guest control host computer, an intelligent panel, a millimeter wave radar human sensor, an intelligent door lock, a door magnetic and a curtain motor, the guest control host computer is responsible for connecting and scheduling various intelligent devices, it integrates Internet of Things data, receives instructions from the intelligent panel and the millimeter wave radar human sensor, accurately controls the running state of light, air conditioning and curtain devices, and can be linked with an external hotel management system to synchronize guest room check-in and device fault information, and is a core node for realizing the automation and informatization management of guest rooms. The intelligent panel is used for centralized control of light, air conditioner, curtain and service call function in the guest room, and is also used as a scene switch to one-key switch "get up", "sleep", "reading" preset mode. The millimeter wave radar human sensing is divided into 2.4G and 60G, which is used for detecting human existence, moving track and micro-motion state in the guest room or public area, simultaneously judging whether the guest room is occupied, automatically adjusting air conditioner and light of the guest control host, triggering energy-saving mode when no one is present, and providing personnel distribution data support for hotel safety patrol; The intelligent door lock supports face recognition, password, mobile phone applet unlocking modes, improves the convenience of check-in and the safety of the guest room; The door magnetic is used for real-time monitoring of the opening and closing state of the door, and immediately sends a warning to the hotel management system if the door is abnormally opened, so as to protect the safety of the guests and property; The curtain motor is used for receiving the instructions of the guest control host or the intelligent panel, driving the curtain to automatically open and close, and the guest can adjust it through voice or key, and can set a timing mode, and the running state of the curtain motor can be recorded by the system, which helps equipment operation and maintenance, and improves the comfort and intelligent experience of the guest room.

[0006] Preferably, the public area gateway and host include a smart building gateway, a smart building IO module, a smart building controller, a switching power supply and an intelligent elevator control, the smart building gateway is responsible for connecting various types of intelligent devices at the bottom layer and the upper management platform, can be compatible with different communication protocols, collects and converts the scattered data collected by sensors and controller devices, and transmits the data after encryption, receives the instructions issued by the platform and distributes them to the terminal devices, and is the core hub for ensuring data interconnection and remote control of the building; The smart building IO module is used for connecting the front-end sensing device and the back-end control system, the input I port can collect the on-off or analog signal of the access control card reader and infrared detector device; the output O port drives the sound and light alarm and relay actuator to act according to the controller instructions, so as to realize precise signal response and control of various scenes in the building; The smart building controller is responsible for overall management of air conditioning, fresh air, lighting and water supply and drainage system, which automatically adjusts the running parameters of the equipment through preset logic or receiving management platform instructions, and simultaneously monitors the running state of the equipment in real time, triggers an alarm when an abnormality occurs, and realizes automatic and energy-saving operation and maintenance of the building equipment; The switching power supply is used for converting AC 220V mains into DC power required by the equipment, which has functions of overload protection, short circuit protection, voltage stabilization and the like, can provide continuous and stable power support for gateway, controller, sensor and other precise electronic equipment, avoids equipment failure caused by voltage fluctuation or power interruption, and ensures continuous operation of the building intelligent system; The intelligent elevator control fuses identity recognition and elevator dispatching functions, supports face swiping, card swiping, and mobile phone APP authorization verification modes, only allows authorized personnel to use the elevators of specified floors, effectively ensures building security, and can optimize elevator operation logic in combination with personnel distribution data, reduce waiting time, and improve traffic efficiency and experience.

[0007] Preferably, the public area detection device includes an environment monitoring sensor, a fluid system monitoring sensor, and an energy metering sensor. The environment monitoring sensor includes a temperature sensor, a humidity sensor, an illuminance sensor, and a carbon dioxide concentration sensor. The temperature sensor is used to collect temperature data of indoor and outdoor, equipment room, and pipeline key areas in real time, and synchronizes the data to the intelligent building controller. The air conditioning and floor heating system can be automatically adjusted in linkage, and the equipment operation temperature is monitored to ensure that it is normal, avoiding overheating and causing failure, which is the basis for ensuring environmental comfort and equipment safety. The humidity sensor is used to monitor the air humidity in real time, and works in cooperation with the temperature sensor to control the humidifier, dehumidifier, or fresh air system, prevent the environment from being too wet or too dry, improve comfort, avoid mold growth, and maintain suitable living and office environment humidity. The illuminance sensor is used to monitor the intensity of natural light and indoor environment light to realize intelligent lighting control. The carbon dioxide concentration sensor is used to monitor the indoor CO2 concentration. An increase in concentration represents a decrease in air quality, and people will feel hot and tired. This data is used to control the start and stop of the fresh air system and the air volume to introduce outdoor fresh air when needed, ensure indoor air quality, and improve personnel work efficiency and health. The fluid system monitoring sensor includes a flow rate sensor, a water pressure sensor, a fan differential pressure switch, and a water flow switch. The flow rate sensor is installed in the pipeline to measure the flow rate of water and air fluid, monitor the flow of the air conditioning water system and water supply pipeline, determine the water pump operation state and whether the filter screen is blocked, provide data support for system adjustment, fault troubleshooting, and energy calculation; the water pressure sensor is used to monitor the pressure in the water pipe and ensure the stability of the water supply system to prevent pipe explosion caused by excessive pressure or insufficient water supply caused by low pressure, and can automatically adjust the pressure in linkage with the frequency conversion water pump to maintain constant pressure water supply and save energy; the fan differential pressure switch is installed on both sides of the fan inlet and outlet or filter screen. When the fan fails to cause abnormal pressure difference or the filter screen is blocked to increase the pressure difference, the fan differential pressure switch will trigger a signal to the controller to timely warn of ventilation failure or the need to replace the filter screen to ensure normal operation of the fresh air system and the smoke exhaust system; the water flow switch is connected in series in the pipeline. When the water flow reaches the set flow rate, the switch is closed to trigger the equipment to start. When the water flow is interrupted, the signal is disconnected, the related equipment is stopped, and a warning is issued to prevent equipment damage caused by dry burning and realize the linkage protection of water flow and equipment. The energy metering sensor includes a smart water meter and a smart electricity meter, the smart water meter is used for recording water consumption data of guest rooms, public areas and equipment in real time, and uploading to a management platform through Internet of Things, and a manager can intuitively master water consumption peak and abnormal water consumption conditions, realizes water consumption billing automation and water saving control, and reduces water resource waste; the smart electricity meter measures electricity consumption according to regions and equipment, and data is synchronously uploaded to a background in real time, the system can automatically analyze electricity load and identify abnormal electricity consumption, helps to formulate energy saving strategies, and meanwhile realizes automatic electricity fee accounting and improves electricity management efficiency.

[0008] Preferably, the security equipment includes a smoke detection device, a temperature sensing device, an automatic water spraying fire extinguishing device and an access control system; the smoke detection device is arranged in guest rooms, corridors and machine rooms, and monitors smoke particle concentration in air in real time through optical or ion sensing technology, and once the concentration exceeds a safety threshold, triggers local sound and light alarm, and synchronously pushes a warning signal to a hotel management background and a fire control room, to remind personnel to evacuate and start a subsequent linkage emergency procedure; the temperature sensing device is a temperature sensor for environmental regulation, and has a higher set threshold, and is usually linked with the smoke detection device to form a composite warning system, to give an early warning in a scene where smoke is not obviously generated but temperature suddenly rises, to make up for the limitation of single smoke detection, and further improve accuracy and timeliness of fire warning; the automatic water spraying fire extinguishing device is operated in linkage with a fire detection system, when the detection device confirms a fire, a thermal element in the device breaks due to heat, a nozzle automatically sprays water to suppress initial fire, and quickly controls a flame spreading range, in the intelligent hotel system, a starting state of the device is synchronously fed back to the background, to help a manager to accurately locate a fire area, to improve disposal efficiency by cooperating with manual rescue, and to minimize fire loss; in a normal state, the access control system strictly controls access permission of key areas of hotel guest rooms, equipment rooms and office areas through card swiping, face recognition and password, to prevent illegal intrusion and property theft, and to ensure safety of guests and hotel assets, and in a fire emergency, the access control system is linked with the fire control system, to automatically release all access controls, to ensure that evacuation passages are unobstructed.

[0009] Preferably, the perception layer is composed of various Internet of Things terminal devices, and covers safety equipment, environmental equipment, energy consumption equipment and control equipment, and a core function thereof is to collect physical quantity data of all areas of the hotel in real time, and to convert a state of a real scene into a transmissible electronic signal, to provide basic data support for subsequent analysis and control of the system. The network transmission layer module is responsible for connecting the perception layer device and the platform application layer, integrates various communication technologies including wired networks, wireless networks and gateway devices, can adapt to communication protocols of different devices, and through encrypted transmission and protocol conversion, stably uploads dispersed data collected by the perception layer to the management platform, and accurately pushes control instructions issued by the platform to the terminal device, to ensure real-time and safe flow of data between the device and the system. The platform application layer module is the core carrier of smart hotel operation and management, usually deployed in the form of cloud or local server, which integrates data storage, analysis engine and business management function; It realizes three core functions: (1) data processing, cleaning, integration and visualization of uploaded device data; (2) intelligent decision-making, generating control instructions through preset logic or AI algorithm; (3) business support, providing room management, security monitoring, energy consumption statistical operation interface for managers to realize remote control and fine operation; The device control layer module connects the platform application layer and physical devices, composed of intelligent controllers, relays and actuators, which accurately drive the terminal device action after receiving the instructions issued by the platform; The security protection module provides protection for device operation and data security, including device security, communication security, platform security and emergency response.

[0010] Preferably, the data collection and access layer is a virtual-real mapping data basis, responsible for integrating building full-dimensional data, and is the core support for accurate construction of digital twin mirror, used for real-time synchronization of Internet of Things platform device operation data, environmental parameters and energy consumption data; At the same time, it accesses building design drawings, operation and maintenance records, space layout static data, as well as personnel flow and security event dynamic data, and completes data cleaning and format conversion through standardized interface to ensure the unity and timeliness of multi-source data, providing data for dynamic updating of virtual mirror; The digital twin modeling layer constructs a virtual mirror corresponding to the physical building 1:1 through three-dimensional modeling and data fusion technology, which takes BIM model as the basic framework, integrates the spatial information of building structure, pipeline layout and device location; Then the real-time collected data is "injected" into the model to realize the dynamic visualization of device operation state, environment state and personnel location, while supporting model layering and disassembly, which can accurately locate to a single device or pipeline, providing an intuitive virtual operation carrier for subsequent analysis and control, and supporting "What-if" simulation, allowing managers to test the effects of various schemes in the virtual space without affecting the real operation; The data fusion and analysis layer is responsible for deep processing and analysis of multi-source data in the virtual mirror, which integrates big data analysis, AI algorithm and simulation technology, and can realize three core functions: (1) state monitoring, identifying device abnormalities through data comparison, automatically marking fault location and pushing early warning; (2) trend prediction, simulating device performance degradation curve and energy consumption trend based on historical data to predict maintenance needs in advance; (3) scene simulation, constructing virtual scenes of fire spread, personnel evacuation and energy optimization to simulate the effects of different strategies and provide data support for decision-making.

[0011] Preferably, the visualization management layer is presented in the form of a three-dimensional visualization large screen and a mobile terminal, for converting virtual mirror and analysis results into an intuitive operation interface, supporting multi-dimensional viewing, data drilling and remote control; The business application and interaction layer provides special application functions for different scenarios, specifically (1) operation and maintenance management, realizing device full life cycle management through virtual mirror, automatically generating maintenance work orders and tracking maintenance progress to reduce operation and maintenance costs; (2) security management, displaying personnel trajectories and security device states in real time, and when an anomaly occurs, the virtual mirror automatically highlights the alarm area and links the surveillance video to assist rapid disposal; (3) energy consumption optimization, visualizing the energy consumption distribution of each area, formulating energy saving strategies through simulation, and realizing precise energy saving; (4) space management, optimizing space layout based on personnel flow data to improve space utilization efficiency; The feedback and control execution layer is the core closed loop link for the digital twin system to go from virtual mapping to physical control, and its role is to automatically or manually confirm the optimization instructions generated by the platform layer analysis and decision, and then issue them to the building automation system and lighting system execution unit through a standard interface to drive physical devices to act, and after execution, the system will verify the results in real time through the perception layer data to ensure that the instructions are accurately implemented; if an anomaly is found, an alarm will be immediately issued.

[0012] Compared with the existing technology, the present application has the following advantages: 1. Through automatic control, intelligent scheduling and remote management, the dependence on manpower for front desk, engineering, security and other positions is greatly reduced, the labor cost is reduced, and the problem of low efficiency and high cost caused by the traditional hotel operation mode which highly depends on manpower is solved; 2. Through real-time monitoring of the environment and personnel activities by Internet of Things sensors and energy consumption analysis and strategy optimization by digital twin models, precise and automatic control of main energy consumption devices such as air conditioners and lighting is realized, comprehensive energy consumption is effectively reduced, and the problem of serious energy waste in traditional hotels is solved; 3. Based on the fusion analysis and "What-if" simulation of full data by the digital twin hotel system, the peak season power distribution load can be predicted and personnel scheduling can be optimized, so that management decisions are changed from "experience judgment" to "data-driven", equipment failures can be predicted in advance, resource allocation can be optimized, operation efficiency can be improved, service interruption risk can be reduced, and the problem of "overly blind decisions lacking data support" is solved; 4. Personalized room environment automatic adjustment, seamless intelligent guest control and rapid response services are provided, the average response time is shortened from 20 minutes to nearly real-time, the demand of new generation of passengers for technology and personalization is greatly met, the brand attraction and competitiveness of the hotel are improved, and the problems of "service relying on manual work causing response lag" and "difficulty in meeting the demand of new generation of passengers" are solved; The present application effectively solves the core pain points of high labor cost, serious energy waste and blind decision of traditional hotels by constructing a smart hotel operation platform based on digital twinning and Internet of Things. The platform realizes the automation and intelligentization of operation management, significantly reduces the labor and energy consumption costs; through data driving and simulation, the scientific nature of decision-making and operation efficiency are improved; with the help of personalized environment regulation and rapid service response, customer experience and market attractiveness are greatly enhanced; and an active security and emergency system is established, which comprehensively strengthens the risk resistance ability of the hotel, and provides key support for the digital transformation and sustainable development of the hotel industry. BRIEF DESCRIPTION OF DRAWINGS

[0013] Fig. 1 A system block diagram of a smart hotel operation platform based on digital twinning technology and Internet of Things is proposed for the present application; Fig. 2 A flowchart of a smart hotel operation platform based on digital twinning technology and Internet of Things is proposed for the present application. DETAILED DESCRIPTION

[0014] The present application will be further described below in conjunction with specific embodiments. EMBODIMENT

[0015] REFERENCE Figs. 1-2 The present embodiment proposes a smart hotel operation platform based on digital twinning technology and Internet of Things, which includes a hardware device layer, an Internet of Things platform and a digital twinning hotel system; The hardware device layer includes guest control devices, public area gateways and host computers, public area detection devices and security devices; The guest control devices include a guest control host computer, an intelligent panel, a millimeter wave radar human sensor, an intelligent door lock, a door magnet and a curtain motor. The guest control host computer is responsible for connecting and dispatching various intelligent devices. It integrates Internet of Things data, receives instructions from the intelligent panel and the millimeter wave radar human sensor, accurately controls the operating state of light, air conditioning and curtain devices, and can be linked with external hotel management systems to synchronize guest room check-in and device fault information. It is the core node of realizing the automation and informatization management of guest rooms. The intelligent panel is used to centrally control the light, air conditioning, curtain and service call functions in the guest room. The intelligent panel is also used as a scene switch to one-key switch the "wake up", "sleep" and "reading" preset modes. The millimeter wave radar human sensor is divided into 2.4G and 60G, which is used to detect the presence of human body, moving track and micro-motion state in the guest room or public area, and to judge whether there is a person in the guest room, and to link the guest control host computer to automatically adjust the air conditioning and light. It is also used to trigger the energy saving mode when there is no one, and provides personnel distribution data support for hotel safety patrol. The intelligent door lock supports face recognition, password, and mobile phone app unlocking modes, which improves the convenience of check-in and the security of guest rooms. Door magnetic is used for real-time monitoring of the door opening and closing state, if the door is opened abnormally, it will send an early warning to the hotel management system, to protect the safety of guests and property; Curtain motor is used to receive the instructions of guest control host or intelligent panel, drive the curtain to open and close automatically, guests can adjust through voice or key, and can set the timing mode, the running state of curtain motor can be recorded by the system, which helps equipment operation and maintenance, improves the comfort and intelligent experience of guest room; Public area gateway and host include intelligent building gateway, intelligent building IO module, intelligent building controller, switching power supply and intelligent elevator control, intelligent building gateway is responsible for connecting various intelligent devices at the bottom layer and the upper management platform, can compatible with different communication protocols, collect, convert and encrypt the scattered data collected by sensors and controller devices, at the same time, receive the instructions issued by the platform and distribute them to the terminal devices, which is the core hub to ensure the data interconnection and remote control of the building; Intelligent building IO module is used to connect front-end sensing devices and back-end control system, input I port can collect the on-off or analog signal of access control card reader and infrared detector; Output O port drives sound and light alarm and relay actuator according to the controller instructions, to realize precise signal response and control of various scenes in the building; Intelligent building controller is responsible for overall management of air conditioning, fresh air, lighting and water supply and drainage system, it automatically adjusts the equipment operation parameters through preset logic or receives the instructions of management platform, at the same time, it monitors the equipment operation state in real time, triggers an alarm when an abnormality occurs, to realize the automation and energy saving operation and maintenance of building equipment; Switching power supply is used to convert AC 220V power into DC power required by equipment, it has overload protection, short circuit protection, voltage stabilization and other functions, which can provide continuous and stable power support for gateway, controller, sensor and other precision electronic equipment, avoid equipment failure caused by voltage fluctuation or power interruption, and ensure the continuous operation of building intelligent system; Intelligent elevator control integrates identity recognition and elevator dispatching function, supports face recognition, card swiping and mobile phone APP authorization verification, only allows authorized personnel to use the elevator of specified floor, effectively ensures the security of the building, at the same time, can optimize the elevator operation logic combined with personnel distribution data, reduce the waiting time, improve the efficiency and experience of passing; Public area detection equipment includes environmental monitoring sensors, fluid system monitoring sensors and energy metering sensors; The environmental monitoring sensor includes a temperature sensor, a humidity sensor, an illumination sensor, and a carbon dioxide concentration sensor. The temperature sensor is used to collect temperature data of indoor and outdoor, equipment room, and pipeline key area in real time, and synchronizes the data to the intelligent building controller. The air conditioner and floor heating system can be automatically adjusted in linkage, and the equipment operation temperature is monitored to avoid overheating and failure. It is the basis for ensuring environmental comfort and equipment safety. The humidity sensor is used to monitor the air humidity in real time, and works with the temperature sensor to control the humidifier, dehumidifier, or fresh air system to prevent the environment from being too wet or too dry, improve comfort and avoid mold growth, and maintain suitable living and office environment humidity. The illumination sensor is used to monitor the intensity of natural light and indoor environment light to achieve intelligent lighting control, such as automatically adjusting the opening and closing of the curtain to utilize natural light, or automatically turning on / dimming indoor light according to the light intensity to achieve "people walk light off", and can cooperate with the curtain motor to adjust the sunshade, balance lighting and energy consumption, and achieve significant energy saving effect. The carbon dioxide concentration sensor is used to monitor the indoor CO2 concentration. The concentration increases, which represents the decline of air quality, and people will feel hot and tired. This data is used to control the start and stop of the fresh air system and the air volume to introduce outdoor fresh air when needed, ensure indoor air quality, and improve personnel work efficiency and health; The fluid system monitoring sensor includes a flow rate sensor, a water pressure sensor, a fan differential pressure switch, and a water flow switch. The flow rate sensor is installed in the pipeline to measure the flow rate of water and air flow, monitor the flow of the air conditioning water system and water supply pipeline, determine the water pump operation state and filter screen blockage, provide data support for system adjustment, fault diagnosis, and energy calculation; The water pressure sensor is used to monitor the pressure in the water pipe and ensure the stability of the water supply system to prevent pipe explosion caused by excessive pressure or insufficient water supply caused by low pressure, and can automatically adjust the pressure of the frequency conversion water pump to maintain constant pressure water supply and save energy; The fan differential pressure switch is installed on both sides of the fan inlet and outlet or filter screen. When the fan fails to cause abnormal pressure difference or the filter screen is blocked to increase the pressure difference, the fan differential pressure switch will trigger a signal to the controller to timely alarm ventilation failure or filter screen replacement to ensure normal operation of the fresh air system and exhaust system; The water flow switch is connected in series in the pipeline. When the water flow reaches the set flow rate, the switch is closed to trigger the equipment start, and when the water flow is interrupted, the signal is disconnected to stop the related equipment and issue a warning to prevent equipment dry burning damage and realize water flow and equipment linkage protection; The energy metering sensor includes a smart water meter and a smart electricity meter. The smart water meter is used for recording water consumption data of guest rooms, public areas and equipment in real time, and uploading the data to a management platform through the Internet of Things. The management personnel can intuitively master the water consumption peak and abnormal water consumption, realize water consumption billing automation and water saving control, and reduce water resource waste. The smart electricity meter measures electricity consumption according to regions and equipment. Data is synchronously transmitted to the background in real time. The system can automatically analyze electricity load and identify abnormal electricity consumption, help to formulate energy saving strategies, and realize automatic accounting of electricity charges, thereby improving electricity management efficiency. The security equipment includes a smoke detection device, a temperature sensing device, an automatic water spraying fire extinguishing device and an access control system. The smoke detection device is deployed in guest rooms, corridors and machine rooms. The smoke detection device monitors the concentration of smoke particles in the air in real time through optical or ion sensing technology. Once the concentration exceeds the safety threshold, the local audible and visual alarm is triggered, and the warning signal is synchronously pushed to the hotel management background and the fire control room, so as to remind personnel to evacuate and start the subsequent linkage emergency procedure. The temperature sensing device is a temperature sensor for relative environment adjustment. The temperature sensing device has a higher set threshold and is combined with the smoke detection device to form a composite warning system. The temperature sensing device can give an early warning in the scene where smoke is not obviously generated but the temperature rises suddenly, thereby making up for the limitation of single smoke detection and further improving the accuracy and timeliness of fire warning. The automatic water spraying fire extinguishing device is operated in linkage with the fire detection system. When the detection device confirms the fire, the thermal element in the device breaks due to heat, and the nozzle sprays water to suppress the initial fire and quickly control the spread of the flame. In the intelligent hotel system, the starting state of the device is synchronously fed back to the background, so as to help the management personnel to accurately locate the fire area, improve the disposal efficiency by cooperating with manual rescue, and minimize the loss caused by fire. In normal conditions, the access control system strictly controls the access permission of key areas of hotel guest rooms, equipment rooms and office areas through card swiping, face recognition and password methods, prevents illegal intrusion and property theft, and protects the safety of guests and hotel assets. In the case of fire emergency, the access control system is linked with the fire control system to automatically release all access controls, so as to ensure that the evacuation passage is unobstructed. The Internet of Things platform includes a sensing layer, a network transmission layer module, a platform application layer module, a device control layer module and a security protection module. The sensing layer is composed of various Internet of Things terminal devices, including safety devices (smoke detectors, temperature sensing devices, access card readers), environmental devices (temperature and humidity sensors, light sensors), energy consumption devices (smart water meters, electricity meters) and control devices (curtain motors, guest control panels). The core function of the sensing layer is to collect physical quantity data (such as smoke concentration, temperature, personnel identity and energy consumption value) of various areas of the hotel in real time, and convert the status of the real scene into a transmissible electronic signal, thereby providing basic data support for subsequent analysis and control of the system. The network transmission layer module is responsible for connecting the perception layer device and the platform application layer. This module integrates various communication technologies, including wired networks, wireless networks, and gateway devices, and can adapt to different communication protocols of devices. Through encrypted transmission and protocol conversion, it stably uploads the dispersed data collected by the perception layer to the management platform, and accurately pushes the control instructions issued by the platform to the terminal devices, ensuring the real-time and secure flow of data between devices and systems. The platform application layer module is the core carrier of smart hotel operation and management, usually deployed in the form of a cloud or local server. This module integrates data storage, analysis engines, and business management functions. It realizes three core functions: (1) data processing, which cleans, integrates, and visualizes the uploaded device data (such as energy consumption reports and device status dashboards); (2) intelligent decision-making, which generates control instructions through pre-set logic or AI algorithms (such as unlocking the access control system and starting the smoke exhaust system during a fire warning); and (3) business support, which provides interfaces for guest room management, security monitoring, and energy consumption statistics, enabling management personnel to achieve remote control and fine operation. The device control layer module connects the platform application layer and physical devices, consisting of intelligent controllers, relays, and actuators. After receiving the instructions issued by the platform, it accurately drives the terminal devices to act, such as automatically opening the fire passage door of the access control system and starting the automatic sprinkler system when receiving a fire warning signal. Based on environmental data, it adjusts the air conditioning wind speed, light intensity, or curtain opening and closing state, converting the system's intelligent decision-making into actual device responses in the scene. The security protection module provides protection for device operation and data security, including device security (terminal device identity authentication, tamper-resistant firmware), communication security (data transmission encryption, access control), platform security (server firewall, data backup and recovery), and emergency response (automatic alarm for abnormal data, rapid positioning of faulty devices). For example, the identity verification of the access control system prevents unauthorized access, data encryption transmission prevents information leakage, and the device linkage logic during a fire ensures compliance in emergency handling, ensuring reliable operation of the system and safety of the hotel. The digital twin hotel system includes the data collection and access layer, the digital twin modeling layer, the data fusion and analysis layer, the visualization control layer, the business application and interaction layer, and the feedback and control execution layer. The data collection and access layer is the foundation of virtual and real mapping data, responsible for integrating building full-dimensional data, and is the core support for accurate construction of digital twin images. It synchronizes real-time data from the Internet of Things platform, environmental parameters, and energy consumption data. It also accesses building design drawings, operation and maintenance records, spatial layout static data, and personnel flow and security event dynamic data. Through standardized interfaces, it completes data cleaning and format conversion, ensuring the unity and timeliness of multi-source data, and providing data for dynamic updating of virtual images. The digital twin modeling layer constructs a virtual mirror corresponding to the physical building 1:1 through three-dimensional modeling and data fusion technology. It takes the BIM model as the basic framework, integrates the spatial information of building structure, pipeline layout, and equipment location, and then "injects" real-time collected data into the model to realize the dynamic visualization of equipment operating state (such as fan speed, valve opening), environmental state (such as temperature distribution, smoke concentration), and personnel location. It also supports model layering and disassembly (such as building layer, equipment layer, and system layer) and can accurately locate to a single device or pipeline, providing an intuitive virtual operation carrier for subsequent analysis and control and supporting "What-if" simulation, allowing managers to test the effects of various schemes (such as adjusting space layout and changing air conditioning strategy) in the virtual space without affecting real operation. The data fusion and analysis layer is responsible for deep processing and analysis of multi-source data in the virtual mirror. It integrates big data analysis, AI algorithms, and simulation technology to realize three core functions: (1) state monitoring, identifying equipment abnormalities (such as sudden increase in water pump energy consumption and abnormal elevator operation vibration) through data comparison, automatically marking fault locations and sending early warnings; (2) trend prediction, simulating equipment performance degradation curve and energy consumption trend based on historical data to predict maintenance needs (such as filter replacement cycle and air conditioner failure risk); (3) scene simulation, constructing virtual scenes of fire spread, personnel evacuation, and energy optimization to simulate the effects of different strategies (such as adjusting air conditioning temperature to affect energy consumption) and provide data support for decision-making. The visual control layer presents in the form of three-dimensional visual screens and mobile terminals, converting virtual images and analysis results into intuitive operation interfaces, supporting multi-dimensional viewing, data drilling, and remote control. For example, clicking on a faulty fan in the virtual interface can directly retrieve the maintenance manual and issue a shutdown command. Through drag-and-drop operations, fire evacuation channel optimization schemes can be simulated, and real-time evacuation efficiency changes can be viewed, realizing "what you see is what you get" virtual-real interactive control. The business application and interaction layer provides specialized application functions for different scenarios. Specifically, (1) operation and maintenance management, which realizes equipment lifecycle management through virtual images, automatically generates maintenance work orders, and tracks maintenance progress to reduce operation and maintenance costs; (2) security control, which displays personnel trajectories and security device status in real time, and when an anomaly occurs, the virtual image automatically highlights the alarm area and links to the surveillance video to assist in rapid disposal; (3) energy optimization, which visualizes energy consumption distribution in each region, develops energy-saving strategies through simulation, and realizes precise energy saving; (4) space management, which optimizes space layout based on personnel flow data to improve space utilization efficiency. The feedback and control execution layer is the core closed loop link for the digital twin system to go from virtual mapping to physical control. Its role is to automatically or manually confirm the optimized instructions generated by the platform layer analysis and decision-making (such as adjusting air conditioning parameters, issuing equipment maintenance tasks or energy efficiency strategies), and then issue them to the building automation system, lighting system execution unit through standard interfaces to drive physical equipment action. After execution, the system will verify the results in real time through the perception layer data to ensure that the instructions are accurately implemented. If abnormalities are found, an alarm will be issued immediately. This "decision-making - execution - feedback - optimization" closed loop process not only realizes the actual value of energy saving, equipment reliability and operation efficiency improvement, but also continuously calibrates the model through data feedback, making the system intelligent and iterative; This embodiment effectively solves the core pain points of high labor costs, serious energy waste and blind decision-making in traditional hotels by building a smart hotel operation platform based on digital twinning and the Internet of Things. The platform realizes automation and intelligentization of operation management, significantly reducing labor and energy costs. Through data-driven and simulation, the scientific nature of decision-making and operational efficiency are improved. With personalized environmental regulation and rapid service response, customer experience and market appeal are greatly enhanced. An active security and emergency system is established to comprehensively strengthen the hotel's risk resistance, providing key support for the digital transformation and sustainable development of the hotel industry.

[0016] In this embodiment, the specific implementation steps of the smart hotel operation platform based on digital twinning and the Internet of Things are as follows: S1: Data upload: The digital twin hotel system first interfaces with the full data of the physical building through the data collection and access layer, including dynamic data collected by Internet of Things devices (such as equipment operating parameters, environmental indicators), static data generated by building design and operation (such as BIM models, maintenance records). The collected data is standardized, and after standardization, these data are "injected" into the virtual mirror constructed by the digital twin modeling module, making the virtual model and the state of the physical building keep millisecond-level synchronization, forming a mapping relationship of "physical entity moving, virtual mirror responding in real time"; The digital twin hotel system analyzes the full data through the data fusion and analysis layer, generates intelligent decision-making basis, and deeply processes multi-source data in the virtual mirror. Through big data comparison and identification of equipment abnormalities (such as sudden increase in restaurant energy consumption), it predicts equipment life (such as air conditioner filter replacement cycle) with AI algorithms, simulates scene effects (such as fire spread path) with simulation technology, and analyzes the results to synchronize feedback to the virtual mirror. Key information is marked in the form of highlights and pop-ups to provide visual and data-based support for subsequent decision-making; S2: Personnel and equipment interaction: The manager interacts with the virtual mirror through the visual management and control layer, can directly view the global state of the building, drill down to the details of the equipment data, and when problems are found or need to be optimized and adjusted, can issue instructions (such as remotely shutting down the faulty wind turbine, simulating evacuation route optimization) under the virtual interface. The instructions are processed by the digital twin hotel system and transmitted to the physical world execution equipment for closed-loop optimization and iteration to continuously improve system efficiency. The state change of the physical equipment after executing the instructions will be fed back to the virtual mirror again through the data acquisition and access layer, forming a "decision-making-execution-feedback-optimization" closed loop. The digital twin hotel system continuously iterates the algorithm model based on long-term data accumulation (such as optimizing energy consumption prediction accuracy and improving fault recognition logic), so that the simulation and decision-making capabilities of the virtual mirror continuously meet the real needs of the physical entity. S3: Decision-making instruction downlink, the digital twin hotel system generates corresponding control instructions through comprehensive analysis of environmental and equipment state and energy consumption data, and pushes them back to the corresponding regional Internet of Things platform through the network layer of the Internet of Things system. The Internet of Things platform issues control instructions to the corresponding gateway, which then converts the instructions into signals executable by the device and transmits them to the terminal hardware, realizing the cross-system linkage of "virtual operation-physical response". After the instructions reach the device end, the hardware controller (such as the guest control host and access control controller) parses and drives the actuator to act, such as the relay attracting the control air conditioner power on-off, the motor driving the curtain rail operation. After the equipment completes the execution, it immediately generates an "execution result feedback signal" (such as "the air conditioner has been turned off, the current temperature is 26°C"), which is transmitted back to the digital twin hotel system along the original transmission link. The virtual mirror synchronously updates the corresponding equipment state (such as the air conditioner icon changing from "running" to "off"), completing the closed-loop confirmation of the instruction downlink. S4: "What-if" simulation: "What-if" simulation realizes the pre-performance and optimization of "hypothetical decisions" by building parameterized virtual scenarios. The specific operation logic steps are as follows: S401: The manager inputs the hypothetical conditions (such as "what if the 15th floor air conditioner main switch is turned off, how will the regional temperature change trend be?" "What if a fire breaks out in the lobby, what is the difference in escape efficiency of different evacuation routes?") in the visual management and control interface. S402: System call history data and real-time parameters (current personnel distribution, equipment status, environmental conditions) simulate scene evolution process through fluid mechanics, crowd dynamics, etc. Professional algorithms output multi-dimensional results (such as temperature change curve, evacuation time consumption comparison, energy consumption fluctuation data), for example: Before the arrival of the hotel peak season, managers can simulate "whether the power distribution system is overloaded after increasing the occupancy rate of 20 guest rooms" through "what-if", the system based on current electricity meter data, guest room appliance power model, simulates voltage fluctuation range and transformer load rate, if the overload risk is predicted, can push "adjust part of the public area lighting power" "peak shifting start air conditioning" and other optimization schemes in advance, to avoid the device failure or service interruption caused by the decision after landing; S5: Security policy: Pre-emptive prevention strategy: Through simulation technology, potential risks are identified in advance, resources are pre-deployed, static resource locations such as fire hydrants (model, water pressure), emergency exits are marked in daily management, and real-time state of emergency teams is synchronized, laying a foundation for resource visualization for emergency disposal; Accident occurrence stage: Digital twin technology realizes efficient response through rapid modeling and intelligent decision-making, optimizes fire passage opening sequence combined with spatial topology analysis, automatically matches the optimal pre, automatically locates the risk area and recommends the nearest emergency resources, while planning a route to avoid congestion. The management personnel monitors the disposal progress in real time through the large screen; Post-optimization: Through virtual training and continuous stress testing, continuously optimize disposal processes with data, digital twin hotel system supports simulating fire, gas leakage and other accidents in virtual scenarios, imports real disposal data to reproduce the whole process of the event, analyzes the reasons for the delay of rescue forces, and improves the disposal efficiency of subsequent similar events.

[0017] The above describes only the preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can make equivalent replacement or change according to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A smart hotel operation platform based on digital twin technology and the Internet of Things, characterized in that, This includes the hardware equipment layer, the Internet of Things platform, and the digital twin hotel system; The hardware device layer includes guest control equipment, public area gateways and hosts, public area detection equipment, and security equipment; The IoT platform includes a sensing layer, a network transmission layer module, a platform application layer module, a device control layer module, and a security protection module. The digital twin hotel system includes a data acquisition and access layer, a digital twin modeling layer, a data fusion and analysis layer, a visualization and control layer, a business application and interaction layer, and a feedback and control execution layer.

2. The smart hotel operation platform based on digital twin technology and the Internet of Things as described in claim 1, characterized in that, The guest room control equipment includes a guest room control host, a smart panel, a millimeter-wave radar human sensor, a smart door lock, a door magnet, and a curtain motor. The guest room control host is responsible for connecting and scheduling various smart devices. It integrates IoT data, receives instructions from the smart panel and the millimeter-wave radar human sensor, and accurately controls the operating status of the lighting, air conditioning, and curtain equipment. At the same time, it can be linked with an external hotel management system to synchronize room check-in and equipment failure information. It is the core node for realizing automated and information-based management of guest rooms. The smart panel is used to centrally control the lights, air conditioning, curtains and service call functions in the guest room. The smart panel is also used as a scene switch to switch between preset modes such as "wake up", "sleep" and "read" with one click. The millimeter-wave radar human detection is divided into 2.4G and 60G, which are used to detect the presence, movement trajectory and micro-motion status of human bodies in guest rooms or public areas. It is also used to determine whether there are people in the guest room, link the guest room control host to automatically adjust the air conditioner and lighting, and trigger the energy-saving mode when no one is there, providing personnel distribution data support for hotel security patrols. The smart door lock supports multiple unlocking methods, including facial recognition, password, and mobile app, enhancing check-in convenience and guest room security. The door sensor is used to monitor the opening and closing status of the room door in real time. If an abnormal opening occurs, it will immediately send an alert to the hotel management system to ensure the safety of guests and their property. The curtain motor is used to receive instructions from the guest control host or smart panel to drive the curtains to open and close automatically. Guests can adjust the curtains by voice or buttons and can set a timer mode. The operating status of the curtain motor can be recorded by the system to help with equipment operation and maintenance management and improve the comfort of living and the intelligent experience of the guest room.

3. A smart hotel operation platform based on digital twin technology and the Internet of Things as described in claim 1, characterized in that, The public area gateway and host include a smart building gateway, a smart building IO module, a smart building controller, a switching power supply, and a smart elevator control. The smart building gateway is responsible for connecting various underlying smart devices with the upper-level management platform. It is compatible with different communication protocols, and it aggregates, converts, and encrypts the scattered data collected by sensors and controller devices for transmission. At the same time, it receives instructions from the platform and distributes them to terminal devices. It is the core hub for ensuring building data interoperability and remote management. The smart building IO module is used to connect the front-end sensing devices and the back-end control system. The input I port can collect the switch or analog signals of the access control card reader and infrared detector; the output O port drives the sound and light alarm and relay actuator according to the controller instructions, so as to realize the precise signal response and control of various building scenarios. The intelligent building controller is responsible for the overall management of air conditioning, fresh air, lighting and water supply and drainage systems. It automatically adjusts the equipment operating parameters through preset logic or by receiving instructions from the management platform, while monitoring the equipment operating status in real time. When an abnormality occurs, it triggers an early warning, thereby realizing the automated and energy-saving operation and maintenance of building equipment. The switching power supply is used to convert AC 220V mains power into DC power required by the equipment, and can provide continuous and stable power support for gateways, controllers, sensors and precision electronic equipment, avoid equipment failure due to voltage fluctuations or power interruptions, and ensure the continuous operation of the building intelligent system. The intelligent elevator control system integrates identity recognition and elevator scheduling functions, supporting facial recognition, card swiping, and mobile APP authorization verification methods. It allows only authorized personnel to use elevators on designated floors, effectively ensuring building security. At the same time, it can optimize elevator operation logic based on personnel distribution data, reducing waiting time and improving traffic efficiency and experience.

4. A smart hotel operation platform based on digital twin technology and the Internet of Things as described in claim 1, characterized in that, The public area monitoring equipment includes environmental monitoring sensors, fluid system monitoring sensors, and energy metering sensors; The environmental monitoring sensors include temperature sensors, humidity sensors, illuminance sensors, and carbon dioxide concentration sensors. Temperature sensors collect real-time temperature data from indoor and outdoor areas, equipment rooms, and key areas of pipelines. This data is synchronized to the smart building controller, which can then automatically adjust the air conditioning and underfloor heating systems. Simultaneously, it monitors whether the equipment's operating temperature is normal, preventing malfunctions due to overheating, thus ensuring environmental comfort and equipment safety. Humidity sensors monitor ambient air humidity in real-time, working in conjunction with temperature sensors to control humidifiers, dehumidifiers, or fresh air systems. This prevents the environment from being too humid or too dry, improving comfort and preventing mold growth, maintaining suitable humidity levels for living and working environments. Illuminance sensors monitor the intensity of natural light and indoor ambient light, enabling intelligent lighting control. Carbon dioxide concentration sensors monitor indoor CO2 concentration; elevated concentrations indicate declining air quality, causing stuffiness and fatigue. This data is used to control the start / stop and airflow of the fresh air system, introducing fresh outdoor air when needed to ensure indoor air quality and improve employee work efficiency and health. The fluid system monitoring sensors include flow velocity sensors, water pressure sensors, fan differential pressure switches, and flow switches. The flow velocity sensors are installed in the pipes to measure the flow velocity of water and air, monitor the flow rate of the air conditioning water system and water supply pipes, determine the operating status of the water pump, and check for filter blockage, providing data support for system adjustment, troubleshooting, and energy calculation. The water pressure sensors monitor the pressure inside the water pipes, ensuring a stable water supply system, preventing excessive pressure from causing pipe bursts or insufficient pressure from causing insufficient water supply, and can automatically adjust the frequency converter pump. The system controls pressure and maintains constant water pressure, saving energy and reducing consumption. A differential pressure switch for the fan is installed at the fan inlet and outlet or on both sides of the filter. When a fan malfunction causes an abnormal pressure difference, or when filter blockage increases the pressure difference, the differential pressure switch will trigger a signal to the controller, providing timely warnings of ventilation failure or the need to replace the filter, ensuring the normal operation of the fresh air system and smoke exhaust system. A flow switch is connected in series in the pipeline. When the water flow reaches the set flow rate, the switch closes to trigger the equipment to start. When the water flow is interrupted, the signal is disconnected, shutting down the relevant equipment and issuing a warning to prevent dry burning damage, achieving linkage protection between water flow and equipment. The energy metering sensors include smart water meters and smart electricity meters. Smart water meters record water consumption data in real time for guest rooms, public areas, and equipment, and upload the data to the management platform via the Internet of Things. Managers can intuitively grasp peak water consumption and abnormal water consumption, realizing automated water billing and water-saving management, and reducing water waste. Smart electricity meters measure electricity consumption by area and equipment, and the data is synchronized to the backend in real time. The system can automatically analyze the power load, identify abnormal power consumption, help formulate energy-saving strategies, and realize automatic electricity billing, improving the efficiency of electricity management.

5. A smart hotel operation platform based on digital twin technology and the Internet of Things as described in claim 1, characterized in that, The security equipment includes smoke detection devices, temperature sensors, automatic sprinkler systems, and access control systems. The smoke detection devices are deployed in guest rooms, corridors, and server rooms, using optical or ionization sensing technology to monitor the concentration of smoke particles in the air in real time. Once the concentration exceeds a safety threshold, a local audible and visual alarm is immediately triggered, and a warning signal is simultaneously pushed to the hotel management backend and fire control room to alert personnel to evacuate and initiate subsequent emergency procedures. The temperature sensors, compared to environmental control sensors, have higher threshold settings and are often linked with smoke detection devices to form a composite early warning system. This system provides early warning in scenarios where smoke has not yet clearly formed but the temperature has risen sharply, compensating for the limitations of single smoke detection and further improving the accuracy of fire early warning. Timeliness: The automatic sprinkler system operates in conjunction with the fire detection system. When the detection equipment confirms a fire, the heat-sensitive element inside the device ruptures due to heat, and the sprinkler head automatically sprays water to suppress the initial fire and quickly control the spread of the flames. In the smart hotel system, its activation status is simultaneously fed back to the backend, helping managers accurately locate the fire area and improve the efficiency of manual rescue, minimizing fire losses. Under normal circumstances, the access control system strictly controls access to key areas of the hotel, such as guest rooms, equipment rooms, and office areas, through card swiping, facial recognition, and passwords to prevent unauthorized entry and property theft, ensuring the safety of guests and hotel assets. In the event of a fire emergency, it links with the fire protection system to automatically release all access control access, ensuring unobstructed evacuation routes.

6. A smart hotel operation platform based on digital twin technology and the Internet of Things as described in claim 1, characterized in that, The perception layer consists of various IoT terminal devices, including security devices, environmental devices, energy consumption devices, and control devices. Its core function is to collect physical quantity data of various areas of the hotel in real time and convert the state of the real scene into transmittable electronic signals, providing basic data support for subsequent system analysis and control. The network transmission layer module is responsible for connecting the perception layer devices and the platform application layer. This module integrates multiple communication technologies, including wired networks, wireless networks and gateway devices, and can adapt to the communication protocols of different devices. Through encrypted transmission and protocol conversion, it stably uploads the scattered data collected by the perception layer to the management platform, and at the same time accurately pushes the control commands issued by the platform to the terminal devices, ensuring the real-time and secure flow of data between devices and the system. The platform application layer module is the core carrier of smart hotel operation and management. It is usually deployed in the form of cloud or local server. This module integrates data storage, analysis engine and business management functions. It achieves three core functions: (1) Data processing, cleaning, integrating and visualizing the uploaded equipment data; (2) Intelligent decision-making, generating control instructions through preset logic or AI algorithms; (3) Business support, providing operation interfaces for guest room management, security monitoring and energy consumption statistics, enabling managers to achieve remote control and refined operation. The device control layer module connects the platform application layer and the physical device. It consists of intelligent controllers, relays, and actuators. After receiving instructions from the platform, it accurately drives the terminal device to perform actions. The security protection module provides protection for equipment operation and data security, including equipment security, communication security, platform security, and emergency response.

7. A smart hotel operation platform based on digital twin technology and the Internet of Things as described in claim 1, characterized in that, The data acquisition and access layer serves as the data foundation for virtual-real mapping, responsible for integrating building data across all dimensions. It is the core support for the accurate construction of the digital twin image, used to synchronize IoT platform device operation data, environmental parameters, and energy consumption data in real time. Simultaneously, it accesses building design drawings, operation and maintenance records, static spatial layout data, as well as dynamic data on personnel flow and security events. Through standardized interfaces, it completes data cleaning and format conversion to ensure the uniformity and timeliness of multi-source data, providing data for the dynamic updating of the virtual image. The digital twin modeling layer constructs a virtual mirror corresponding to the physical building at a 1:1 scale through 3D modeling and data fusion technology. Based on the BIM model, it integrates spatial information on building structure, pipeline layout, and equipment location. Real-time collected data is then "injected" into the model to achieve dynamic visualization of equipment operation status, environmental status, and personnel location. It also supports layered model decomposition, which can accurately locate individual equipment or pipelines, providing an intuitive virtual operation platform for subsequent analysis and control. Furthermore, it supports "What-if" simulation, allowing managers to test the effects of various solutions in virtual space without affecting real-world operations. The data fusion and analysis layer is responsible for deep processing and analysis of multi-source data in the virtual image. It integrates big data analysis, AI algorithms and simulation technology to achieve three core functions: (1) Status monitoring, which identifies equipment abnormalities through data comparison, automatically marks the fault location and pushes early warnings; (2) Trend prediction: Based on historical data, simulate the performance degradation curve of equipment and the trend of energy consumption change to predict maintenance needs in advance; (3) Scenario simulation: Construct virtual scenarios of fire spread, personnel evacuation and energy consumption optimization to simulate the effects of different strategies and provide data support for decision-making.

8. A smart hotel operation platform based on digital twin technology and the Internet of Things according to claim 1, characterized in that, The visualization and control layer is presented in the form of a 3D visualization screen and mobile terminal, which is used to transform virtual images and analysis results into an intuitive operation interface, supporting multi-dimensional viewing, data drilling and remote control. The business application and interaction layer provides special application functions for different scenarios, specifically (1) Operation and maintenance management, realizing full life cycle management of equipment through virtual mirror, automatically generating maintenance work orders, tracking maintenance progress, and reducing operation and maintenance costs; (2) Security control, displaying personnel trajectory and security equipment status in real time, and automatically highlighting alarm areas and linking monitoring and recording when an abnormality occurs, assisting in rapid handling; (3) Energy consumption optimization, visually presenting the energy consumption distribution of each area, and formulating energy-saving strategies through simulation to achieve precise energy saving; (4) Space management, optimizing space layout based on personnel flow data to improve space utilization efficiency; The feedback and control execution layer is the core closed-loop link of the digital twin system from virtual mapping to physical control. Its function is to automatically or manually confirm the optimization instructions generated by the platform layer analysis and decision-making, and then send them to the building automation system and lighting system execution units through standard interfaces to drive the physical equipment to act. After execution, the system will verify the results in real time through the perception layer data to ensure that the instructions are accurately implemented; if an anomaly is detected, an alarm will be triggered immediately.

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