A hotel room environment intelligent control method and system

Abstract

The invention discloses an intelligent control method and system for a hotel guest room environment, and relates to the field of intelligent control technology. Sensors in intelligent devices in hotel guest rooms collect guest room environment data, and send the data to a general control center through data transmission. The general control center adjusts and analyzes the guest room environment according to the collected guest room environment data and artificial adjustment data. First, a dynamic analysis is performed on an initial adjustment process within a time period, and then the analysis result of the initial adjustment process is combined with the artificial adjustment process. A fixed scene mode of a smooth adjustment point is determined according to an initial scene mode and an expected vector of a resident. Then, a state transfer matrix of the initial adjustment process is combined to obtain a state transfer matrix of the artificial adjustment process and a dynamic scene mode after the transfer. Then, individual environmental parameters expected by the resident are adjusted to obtain the most suitable scene mode for the resident, and the personalized needs of different residents for the hotel guest room environment are fully met.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a hotel guest room environment intelligent control method and system. Background Art

[0002] In the hotel room intelligent control system, the intelligent control of the hotel room environmental parameters is the key to ensure the comfort of the residents. When the residents enter the hotel room, the hotel room environmental control system is connected to each sub-module through the intelligent gateway control and communication module, and the hotel environmental parameters are adjusted through different control panels in the hotel room to meet the residents' needs for the room environment scene; in the prior art, different environmental modes are selected for the personalized and different needs of the residents, and then the corresponding sub-control system is controlled. The local and global scene adjustment processes corresponding to different environmental modes are fixed and changed. However, the adjustment of the fixed mode is difficult to meet the personalized needs of all residents for the hotel environment. Different users have different requirements for the most suitable environment of the hotel room environment. When the residents adjust the room environment scene autonomously, the time for the hotel room environment to reach the most suitable for the residents will be prolonged due to the lack of understanding of the adjustment process and operating parameters of the intelligent device, the proficiency of the intelligent device regulation, etc. In order to meet the personalized needs of the residents in a timely manner, so that the environmental comfort of different guests is met, and the management efficiency of the hotel room intelligent control system is improved, the present invention proposes a hotel room environment intelligent control method and system. Summary of the invention

[0003] In view of the above situation, in order to overcome the defects of the prior art, the purpose of the present invention is to provide a hotel guest room environment intelligent control method and system. The general control center uses the guest room environment data to dynamically analyze the initial adjustment process of the guest room to obtain a state transfer matrix, and then combines the initial adjustment process with the manual control process for analysis. The expected vector of the resident for the guest room environment is determined according to the manual control data, and the personalized needs of different residents are met. At the same time, the timeliness of system control is guaranteed, which greatly improves the management efficiency of the hotel guest room environment.

[0004] The present invention proposes a hotel guest room environment intelligent control method, which realizes the intelligent control of the guest room scene by analyzing the guest room environment data in the hotel. The specific analysis process is as follows:

[0005] The room environment data is collected through sensors of different smart devices in the hotel rooms, and the collected room environment data is pre-processed and stored. The room environment data is transmitted to the main control center through the data transmission path of the corresponding sub-control system;

[0006] The sub-control system controls different environmental parameters in the guest room environmental data respectively. The environmental parameters in the hotel guest room at different times form corresponding scene modes. The scene modes include initial scene mode, dynamic scene mode, fixed scene mode and most adaptable scene mode.

[0007] The time when the resident checks in is recorded as After the main control center detects the resident's check-in information, the adjustment before the resident enters the hotel room is the initial adjustment. The automatic control signal of the smart device in the hotel room is sent through the smart gateway and communication unit to start and intelligently control the smart devices in the hotel room. The scene mode corresponding to the guest room environment data at all times changes dynamically with the operation of the smart devices in the guest room;

[0008] The time when the resident enters the guest room is recorded as go through arrive After the initial adjustment within the time period, The dynamic scene mode corresponding to the moment is recorded as the initial scene mode. After the resident enters the hotel room, the scene mode of the hotel room environment is manually adjusted, and the data in the manual adjustment process is recorded as the manual adjustment data;

[0009] Total control center integration arrive The guest room environment data within the time period and the automatic control of the intelligent equipment are used to establish a multi-dimensional spatial dynamic analysis model for the initial adjustment process, and the state conversion matrix of the guest room environment data corresponding to the environmental parameters is obtained. Taking the moment as the starting point, the behavior of the residents and the human adjustment process are adaptively analyzed in combination with the state transition matrix, and the most adaptive scene mode of the residents is obtained from the adaptive process of human adjustment data and guest room environment data.

[0010] Specifically, the general control center arrive The guest room environment data collected during the initial adjustment is used to obtain the state conversion matrix of the environment parameters. The environment parameters corresponding to the scene modes at different times are different. The data indicators of the environment parameters corresponding to the scene modes are represented as a matrix. The column vector of the matrix is ​​the transpose of the spatial distribution vector corresponding to the environment parameters. The number of environment parameters is recorded as n, and the matrix is ​​represented as , Indicates the time value. , is the environmental parameter matrix of the scene mode at time t. The control processes of different environmental parameters are connected through the bus to form a control network. The environmental parameter matrix corresponding to the moment is , The environmental parameter matrix corresponding to the initial scene mode at the moment is: , with the environmental parameter matrix As the initial adjustment matrix, the dynamic change process of environmental parameters is placed in multidimensional space for dynamic analysis, and the state variables of different environmental parameters changing in space are recorded as , the state variable of the overall control center is recorded as , the analytical equation is as follows:

[0011]

[0012] in, Respectively Time and +1 time the state equation of the guest room environment parameters of the general control center, is the state transfer matrix, is the input vector, is the state analysis error.

[0013] Furthermore, according to the analysis of the state equation corresponding to the environmental parameters at different times, we can obtain arrive The state transfer matrix of the environmental parameters between , the state transfer matrix is ​​recorded as the product of the space conversion matrix S and the initial adjustment matrix X, The time when the resident enters the guest room Different, the corresponding analysis data sets are also different, and the dynamic analysis results are also different. arrive The state transfer matrix of the initial control process at time instant is combined with the adaptive process of human control.

[0014] Specifically, the hotel room environment adjustment process is divided into two parts, corresponding to two time periods: the time when the resident checks in Time until the resident enters the guest room The time period is from the time when the resident enters the room to the time when the scene mode is most suitable. arrive This is the initial adjustment process of the main control center. Residents enter the guest room and manually adjust the hotel's smart devices. The manually adjusted data is transmitted to the main control center through the communication system. The main control center combines the state transition matrix and the manually adjusted data to adaptively adjust the hotel room environment.

[0015] Specifically, the general control center combines the initial adjustment process with the manual control data to adaptively adjust the hotel room environment after manual adjustment. The scene mode at the moment is recorded as the initial scene mode of the adaptive analysis process, and the environmental parameter matrix corresponding to the system is , the number of environmental parameters in the artificially adjusted data is recorded as m, and the artificially adjusted environmental parameters The general control center extracts the behavior data of residents from the artificial adjustment data, and analyzes it in combination with the operating parameters of the smart devices to obtain the residents' expected values ​​of environmental parameters, which are recorded as the expected vector , and then determine the fixed scene mode that is closest to the scene mode expected by the residents based on the expected vector.

[0016] In particular, the adaptive process of the hotel room environment combines arrive The state transition matrix within the time period is The process from time to the final adjustment time T is analyzed, and the time when the resident enters the guest room Different, according to arrive The state transfer matrix obtained by the dynamic analysis process within the time period is also different. A data pool is constructed based on the data of the initial adjustment process of different residents staying in the same guest room. The data in the data pool is analyzed to obtain the spatial transformation matrix S of the state transfer matrix. The influence of the spatial transformation matrix on environmental parameters is only related to the spatial distribution of hotel rooms. The initial adjustment matrix X is related to the operating parameters and time of the smart devices in the guest room during the initial adjustment process.

[0017] Furthermore, the state transfer matrix of the artificial adjustment process is analyzed according to the initial adjustment process. The specific process is as follows:

[0018]

[0019] in, is the state transfer matrix in the initial adjustment process, is the state transfer matrix in the artificial adjustment process, is the artificial adjustment matrix, From time to time T, the scene mode is related to human adjustment. is the similarity between the initial scene pattern and the fixed scene pattern, is the spatial transfer coefficient of environmental parameters, according to arrive The state transfer matrix within the time period is obtained by artificially adjusting the state transfer matrix .

[0020] Furthermore, during the manual adjustment process, the general control center first adjusts the state according to the state transfer matrix The scene mode is adjusted to obtain the dynamic scene mode, and then the dynamic scene mode is further modified according to the scene mode expected by the residents. The column vectors in the environmental parameter matrix corresponding to the dynamic scene mode that coincide with the environmental parameters in the expected vector are extracted, and the overall control center then uses the values ​​of the corresponding environmental parameters in the expected vector as the target values. , taking the column vector as the initial distribution value of the corresponding environmental parameter, the single environmental parameter is corrected one by one to obtain the most suitable scene mode for the residents.

[0021] The present invention also proposes an intelligent control system for hotel guest room environment, which includes a general control center, a communication module, an intelligent gateway, a sub-control system, and a mobile terminal module. The sub-control system includes a lighting subsystem, an access control subsystem, an air-conditioning subsystem, a ventilation subsystem, a music subsystem, and a curtain subsystem. The access control subsystem performs identity recognition on residents entering the room, and the data generated by different modules are transmitted to the general control center through a bus and an intelligent gateway.

[0022] Due to the adoption of the above technical solution, the present invention has the following advantages compared with the prior art:

[0023] The present invention proposes an intelligent control method for hotel guest room environment, which collects hotel guest room environment data through sensors of different intelligent devices and transmits the data to the general control center through a data transmission path. The general control center divides the process of adjusting the guest room environment after the occupants of the hotel guest room check in into two parts. The general control center adjusts the guest room environment according to the following conditions: arrive The analysis data set of the general control center in the initial adjustment process of the hotel guest rooms is different. The spatial transfer matrix obtained by analysis also has the same environmental parameter transfer influence in the artificial control process. The operation of the smart devices in the hotel guest rooms is monitored in real time through the analysis of the initial adjustment process, and the spatial distribution influence of the environmental parameters is analyzed as a whole. The initial scene mode when the guest room occupants enter is obtained through the analysis of the initial adjustment process, so as to accurately analyze the environmental parameters in the artificial adjustment process.

[0024] In the manual adjustment process of the present invention, the general control center combines the analysis results of the initial adjustment process with the manual adjustment process. The manual adjustment data includes relevant data on human behavior and operation of smart devices. The general control center analyzes the behavior and operation of the occupants of the guest room after entering the guest room to obtain the occupants' expected vector for the guest room, determines the fixed scene mode of the smooth adjustment point according to the initial scene mode and the expected vector, and then combines the fixed scene mode with the state transfer matrix of the initial adjustment process to obtain the state transfer matrix of the manual adjustment process. The initial adjustment process is combined with the manual adjustment process, and the analysis of the impact of smart devices and guest room space on environmental regulation in the manual adjustment process is added, which greatly improves the control efficiency of the general control center.

[0025] The general control center further analyzes the change process of environmental parameters according to the state transfer matrix of the artificial adjustment process and the initial scene mode, and obtains the state transfer matrix The dynamic scene mode after state transfer transformation, the environmental parameters corresponding to the dynamic scene mode are closest to the room environment expected by the room occupants. All environmental parameters after state transfer work together to form the dynamic scene mode, and then the individual environmental parameters expected by the residents are adjusted to obtain the most suitable scene mode for the residents, which meets the personalized needs of different residents for the hotel room environment. The most suitable scene mode for the room is obtained by adjusting some environmental parameters manually adjusted by the residents. The problem of different proficiency of different residents in smart devices is overcome by analyzing the initial adjustment process of the general control center. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is an overall analysis flow chart of the present invention. DETAILED DESCRIPTION

[0027] The above and other technical contents, features and effects of the present invention are described in detail below with reference to the attached Figure 1 The detailed description of the embodiments will clearly show that the structural contents mentioned in the following embodiments are all based on the drawings in the specification.

[0028] The hotel room intelligent control system uses computing control, communication and management technologies, based on a dedicated network composed of RCU (room intelligent controller) in the guest room, to intelligently manage and control the hotel room security system, access control system, central air conditioning system, intelligent lighting system, service system, and background music system, and reflect the room status, guest needs, service status and equipment status in real time, and assist the hotel in real-time control and analysis of room equipment and internal resources;

[0029] With the continuous improvement of intelligent control level, hotel room environment intelligent control system has become an indispensable part of the hotel industry. Intelligent control system can make guests have a more convenient, comfortable and intelligent experience in the hotel. The hardware part of the hotel room control system includes various sensors and controllers, and the software part includes applications and data processing programs. The sensors in the hotel rooms are connected with smart devices to form a network, and a large amount of uploaded data is generated. Then the data is processed by using data analysis models to achieve more intelligent control;

[0030] In the process of intelligent control of hotel room environment, it is very important to meet the personalized needs of guests for the hotel room environment. In the prior art, in order to meet the differences in needs of different guests, the intelligent control system realizes intelligent control of the hotel room environment through the selection of scene modes. However, in the actual application process, the needs of guests are diverse, and the selection of fixed hotel room environment scene modes cannot fully meet the personalized needs of all guests, and the working efficiency and control process of different intelligent devices are different. When guests check in to a hotel, they have different proficiency in operating the smart devices in the hotel rooms. The personalized differences in guests' needs for environmental scenes and the differences in their operating proficiency will affect the guests' stay experience. In order to achieve more intelligent and precise control of the hotel room environment, meet the personalized differences of guests, and improve the guests' stay experience, the present invention proposes a hotel room environment intelligent control method to achieve the change of hotel room environment scenes.

[0031] In the specific implementation process, the hotel guest room environment intelligent control method is realized by relying on the hotel guest room environment intelligent control system. The intelligent control of the guest room scene is realized by analyzing the guest room environment data in the hotel, and the intelligent control process is further optimized. The specific analysis process is as follows:

[0032] Step 1: Obtain working data of smart devices in hotel rooms;

[0033] Step 2: The entire process of residents checking into hotel rooms is divided into two parts for analysis, from checking in to entering the room, and from entering the room to the hotel room environment reaching the most satisfactory and most adaptable scene mode for the residents;

[0034] Step 3: Initially control the guest room environment from check-in to entering the hotel room, and analyze the scene mode of the initial control process, so as to obtain the working status of the smart devices in the hotel room without human influence, as well as the spatial distribution characteristics of different environmental parameters. Through the initial adjustment process, the initial scene mode when the resident enters the hotel room is obtained, which provides initial data for the adaptation analysis of human control; through the analysis of the initial adjustment process, the smart devices in the hotel room can operate normally, but the working efficiency is reduced, there are occlusions, etc.

[0035] Step 4: Residents enter the hotel rooms. Different residents have personalized needs for the hotel room environment. Residents further control the smart devices in the hotel rooms. However, the residents have limited proficiency in regulating the hotel smart devices. During the process of manual regulation, the hotel room environment is affected by the hotel itself and manual control. Combined with the initial regulation process, the manual regulation process is specifically analyzed;

[0036] The intelligent control of the hotel guest room environment relies on the intelligent control of the smart devices in the hotel guest rooms. The smart devices are connected through the system bus and work together to realize the intelligent control of the hotel guest rooms. The guest room environment data is collected through the sensors of different smart devices in the hotel guest rooms, and the collected guest room environment data is pre-processed and stored. The guest room environment data is transmitted to the general control center through the data transmission path of the corresponding sub-control system; the general control center is the data analysis center of the hotel guest room environment intelligent control. The controllers of different sub-control systems control different smart devices respectively. The sensor guest room environment parameters in the smart device change, for example: the air conditioning subsystem performs environmental parameters of temperature and humidity in the hotel guest rooms, and the temperature sensor collects the value of the temperature in the guest room, and the humidity sensor collects the value of the humidity in the guest room;

[0037] The hotel guest room intelligent control system includes sub-control systems for controlling different environmental parameters. It uses agile network technology and background database management to form an intelligent neural network that penetrates into the hotel terminal through distributed controllers in the guest rooms, and dynamically monitors the guest room status, room safety, room facilities, guest needs and services, and assists the hotel service front desk and middle office management departments to conduct real-time dynamic analysis and emergency response of hotel room resources;

[0038] When residents check into hotel rooms, different sub-control systems work together to adjust environmental parameters through different control sensing panels. Different environmental parameters together form a comfortable scene for the residents in the rooms.

[0039] The sub-control system controls different environmental parameters in the guest room environmental data respectively. The environmental parameters in the hotel guest room at different times form corresponding scene modes. The scene modes include initial scene mode, dynamic scene mode, fixed scene mode and most adaptable scene mode.

[0040] All environmental parameters at the same time together constitute the corresponding scene mode. The environmental parameters corresponding to the scene mode include temperature, humidity, wind speed, light, sound, etc. When the general control center starts to regulate the hotel room environment, with the operation of air conditioners, dehumidifiers, lighting and other equipment, the temperature and humidity and other environmental parameters in the hotel rooms are also in a dynamic change process. At the same time, the spatial layout of the guest room will also affect the adjustment rate. The scene mode with environmental parameter changes is recorded as a dynamic scene mode;

[0041] The time when the resident checks in is recorded as , the occupants of the guest rooms log in and enter their check-in information through the front desk service system to determine the room they are staying in. After the main control center detects the occupants' check-in information, the adjustments before the occupants enter the hotel rooms are made as initial adjustments. The automatic control signals of the smart devices in the hotel rooms are sent through the smart gateway and communication unit to start and intelligently control the smart devices in the hotel rooms. The scene mode corresponding to the guest room environment data at all times changes dynamically with the operation of the smart devices in the guest room;

[0042] During the specific implementation process, after the guest checks in at the front desk, the front desk staff starts the welcome mode for entering the guest room. In this mode, the main control center makes initial adjustments to the hotel guest room environment, turns on the door light, turns on the fan to enter the low air volume operation mode, turns on the guest room exhaust fan, maintains the air convection environment to keep the air in the guest room fresh, and turns on the air conditioner in advance to cool down in summer; when there are no residents staying, the main control center does not control the overall scene mode of the guest room environment, the hotel guest room is in vacant mode, the front desk and housekeeping department manage the online monitoring of the guest room management status, and the staff selectively turns on the air conditioner, exhaust fan, curtains and other smart devices to ventilate in time to keep the air in the guest room fresh and the bedding dry and odor-free;

[0043] The working efficiency of different smart devices varies. Under the same working efficiency mode of air-conditioning equipment, there are differences in cooling effect. Under the influence of different cooling degrees, in the same space of hotel guest rooms, the indoor temperature changes differently in space. In order to analyze the personalized needs of guest room residents more accurately, the general control center dynamically analyzes the influence of guest room space and smart device working efficiency during the initial adjustment process, and combines the analysis results obtained from the dynamic analysis with the process of manual control;

[0044] The time when the resident enters the guest room is recorded as ,go through arrive After the initial adjustment within the time period, The dynamic scene mode corresponding to the moment is recorded as the initial scene mode. After the resident enters the hotel room, the scene mode of the hotel room environment is manually adjusted, including the selection of a fixed scene mode and the control and adjustment of a single environmental parameter. The data in the manual adjustment process is recorded as the manual adjustment data.

[0045] The time when the hotel room guests arrive at the hotel entrance is , enter through the access control subsystem. When the guest opens the room door with a contactless door card, the door magnetic switch signal triggers the room controller to turn on the room entrance light. When the resident enters the hotel room, the process of manual control has been started. The manual control process includes human operation behavior and the operation behavior of controlling the intelligent device. On the basis of the initial adjustment of the general control center, the hotel guest enters the room to trigger the intelligent device and adjust the intelligent device, thereby further changing the hotel room environment.

[0046] The inductive smart power box reads the entry data and starts the guest room welcome lighting mode; a human infrared detector is installed on the bathroom roof. When it detects that a guest has entered the bathroom lighting and exhaust fan, after a fixed delay, if the detector does not detect a human signal, the bathroom lighting and exhaust fan will be turned off when both conditions are met; a human infrared detector is installed on the top of the wardrobe; a touch screen is installed on the wall, allowing guests to easily control the lighting scene, electric curtains, service instructions, door display, and send service requests to the hotel front desk;

[0047] When a guest checks into a room, the scene mode of the room is the dynamic scene mode obtained by initial adjustment. The dynamic scene mode at the time of entry is recorded as the initial scene mode after the person enters the room. The initial scene mode has nothing to do with the resident's manual adjustment operation, but is only related to the initial adjustment process. When different guests enter, the guest's triggering and change process of the hotel room environment is different, and the change of the scene mode of the room environment is also different. The general control center combines the initial adjustment process with the manual adjustment process;

[0048] Total control center integration arrive The guest room environment data within the time period and the automatic control of the intelligent equipment are used to establish a multi-dimensional spatial dynamic analysis model for the initial adjustment process, and the state conversion matrix of the guest room environment data corresponding to the environmental parameters is obtained. Taking the moment as the starting point, the behavior of the residents and the human adjustment process are adaptively analyzed in combination with the state transition matrix, and the most adaptive scene mode of the residents is obtained from the adaptive process of human adjustment data and guest room environment data.

[0049] As the time when smart devices are turned on changes, the scene in the hotel room changes. Changes in different environmental parameters lead to changes in the hotel room environment scene. The overall control center arrive The guest room environmental data collected during the initial adjustment is used to obtain the state conversion matrix of the environmental parameters. The environmental parameters corresponding to the scene modes at different times are different. The values ​​of the environmental parameters change with the regulation process. The data indicators of the environmental parameters corresponding to the scene modes are represented as a matrix. The column vector of the matrix is ​​the transpose of the spatial distribution vector corresponding to the environmental parameters. The number of environmental parameters is recorded as n, and n is the number of all environmental parameters of the hotel guest room intelligent control. The distribution of environmental parameters is related to the space of the guest room. In the control process of dynamic changes in environmental parameters, the change values ​​of environmental parameters and spatial distribution are constantly changing. For example, temperature and humidity. When controlling the environmental parameters of temperature and humidity in hotel guest rooms, in the process from the air conditioner being turned on to the constant temperature in the guest room, the closer the distance to the air outlet of the air conditioner is, the closer the temperature is to the regulated temperature. The process of temperature change at different spatial locations is different, and the number of sensors in hotel guest rooms is limited. The values ​​of environmental parameters at different locations in hotel guest rooms are obtained through energy space transmission based on the data that have been collected. The matrix of the distribution of environmental parameters related to the spatial position is

[0050] The light intensity in the hotel room is related to the control process of the smart device. Taking all the environmental parameters corresponding to the scene mode in the hotel room into consideration, it is described in the form of a matrix. The matrix is ​​expressed as , Indicates the time value. , is the environmental parameter matrix of the scene mode at time t. The control processes of different environmental parameters are connected through the bus to form a control network. The environmental parameter matrix corresponding to the moment is , The environmental parameter matrix corresponding to the initial scene mode at the moment is: , with the environmental parameter matrix As the initial adjustment matrix, the dynamic change process of environmental parameters is placed in multidimensional space for dynamic analysis, and the state variables of different environmental parameters changing in space are recorded as , the state variable of the overall control center is recorded as , the analytical equation is as follows:

[0051]

[0052] in, Respectively Moment and +1 time the state equation of the guest room environment parameters of the general control center, is the state transfer matrix, is the input vector, is the state analysis error. When the vectors corresponding to n state points are given, the error between time points is obtained through calculation and analysis. and Before the occupants of the hotel rooms enter the hotel rooms, the column vectors corresponding to the environmental parameters in the environmental parameter matrix are obtained by the general control center through spatial analysis. The conduction of temperature through the spatial transfer coefficient makes the temperature at different locations different. The number of sensors in the hotel rooms is limited, and the number of environmental parameters obtained in the hotel rooms is limited. The temperature values ​​of different spatial locations are obtained by analyzing the energy field of the hotel rooms.

[0053] The main control center obtains the initial scene mode when the occupants of the guest room enter the guest room by analyzing the initial adjustment process, and obtains the initial scene mode when the occupants of the guest room enter the guest room by analyzing the initial adjustment process. arrive The state transition matrix within the time period;

[0054] According to the analysis of the state equation corresponding to the environmental parameters at different times, we can get arrive The state transfer matrix of the environmental parameters between , the state transfer matrix is ​​recorded as the product of the space conversion matrix S and the initial adjustment matrix X, , the time when the resident enters the room Different, the corresponding analysis data sets are also different, and the dynamic analysis results are also different. arrive The state transfer matrix of the initial control process at time instant is combined with the adaptive process of human control.

[0055] The process of adjusting the hotel room environment is divided into two parts, corresponding to two time periods: the time when the resident checks in Time until the resident enters the guest room The time period is from the time when the resident enters the room to the time when the scene mode is most suitable. arrive This is the initial adjustment process of the main control center. Residents enter the guest room and manually adjust the hotel's smart devices. The manually adjusted data is transmitted to the main control center through the communication system. The main control center combines the state transition matrix and the manually adjusted data to adaptively adjust the hotel room environment.

[0056] When the occupants of the guest rooms enter the hotel rooms, the environment of the hotel rooms is artificially adjusted due to the check-in of the guests. The artificial adjustment of the hotel room environment includes two parts: one is to adjust according to the behavior of the customers, and the other is that the guests make independent adjustments according to their own personalized needs, which together constitute the artificial adjustment process; the general control center analyzes the environmental parameters expected by the guests based on the artificial adjustment data, and on the basis of the initial adjustment process, performs a state analysis on the adjustment process from the artificial adjustment data to the expected environmental state, and obtains the smooth adjustment point through analysis; then analyzes the environmental parameters at the smooth adjustment point, and the general control center adjusts the smooth adjustment point adaptively through the sub-control system, and the adaptive adjustment parameters are obtained by analyzing the data parameters, data transmission type and data transmission time of the hotel environment and guest room environment data;

[0057] The general control center combines manual adjustment data and adaptive adjustment parameters to intelligently control the environmental parameters of hotel rooms, shortening the time to adjust to the most suitable environmental parameters and adaptively adjusting the environmental parameters of hotel rooms;

[0058] The main control center combines the initial adjustment process with the manual control data to adaptively adjust the hotel room environment after manual adjustment. The scene mode at the moment is recorded as the initial scene mode of the adaptive analysis process, and the environmental parameter matrix corresponding to the system is , the number of environmental parameters in the artificially adjusted data is recorded as m, and the artificially adjusted environmental parameters , the general control center extracts the adjustment behavior of residents in the artificial adjustment data, and analyzes it in combination with the operating parameters of the smart devices to obtain the expected values ​​of the residents for the environmental parameters, which is recorded as the expected vector , and then determine the fixed scene mode that is closest to the scene mode expected by the residents based on the expected vector.

[0059] When the occupants of a hotel room enter the room, they can adjust the environmental parameters of the hotel room, such as temperature, lighting, noise intensity, etc., according to their own needs. The environmental parameters affected by the smart devices are preset through the control panel of the sub-control system. However, the scene modes composed of different environmental parameters preset by the occupants have different adaptability to people. Different scene modes improve the comfort level due to the interaction between different environmental parameters.

[0060] In the process of hotel room environment adaptation, combined with arrive The state transition matrix within the time period is The process from time to the final adjustment time T is analyzed, and the time when the resident enters the guest room Different, according to arrive The state transfer matrix obtained by the dynamic analysis process within the time period is also different. A data pool is constructed based on the data of the initial adjustment process of different residents staying in the same guest room. The data in the data pool is analyzed to obtain the spatial transformation matrix S of the state transfer matrix. The influence of the spatial transformation matrix on environmental parameters is only related to the spatial distribution of hotel rooms. The initial adjustment matrix X is related to the operating parameters and time of the smart devices in the guest room during the initial adjustment process.

[0061] The state transfer matrix of the artificial adjustment process is analyzed according to the initial adjustment process. The specific process is as follows:

[0062]

[0063] in, is the state transfer matrix in the initial adjustment process, is the state transfer matrix in the artificial adjustment process, is the artificial adjustment matrix, From time to time T, the scene mode is related to human adjustment. is the similarity between the initial scene pattern and the fixed scene pattern, is the spatial transfer coefficient of environmental parameters, according to arrive The state transfer matrix within the time period is obtained by artificially adjusting the state transfer matrix .

[0064] In the process of manual adjustment, the general control center first calculates the state transfer matrix The scene mode is adjusted to obtain the dynamic scene mode, and then the dynamic scene mode is further modified according to the scene mode expected by the residents. The column vectors in the environmental parameter matrix corresponding to the dynamic scene mode that coincide with the environmental parameters in the expected vector are extracted, and the overall control center then uses the values ​​of the corresponding environmental parameters in the expected vector as the target values. , taking the column vector as the initial distribution value of the corresponding environmental parameter, the single environmental parameter is corrected one by one to obtain the most suitable scene mode for the residents.

[0065] A hotel guest room environment intelligent control system, the system includes a general control center, a communication module, an intelligent gateway, a sub-control system, and a mobile terminal module. The sub-control system includes a lighting subsystem, an access control subsystem, an air conditioning subsystem, a ventilation subsystem, a music subsystem, and a curtain subsystem. The access control subsystem identifies the resident entering the room, and the data generated by different modules are transmitted to the general control center through a bus and an intelligent gateway.

[0066] When the present invention is used specifically, the intelligent control system of the hotel guest room environment includes a general control center, a communication module, an intelligent gateway, a sub-control system, and a mobile terminal module. The sub-control system includes a lighting subsystem, an access control subsystem, an air conditioning subsystem, a ventilation subsystem, a music subsystem, and a curtain subsystem. In the analysis process of the intelligent control method of the hotel guest room environment, the guest room environment data is firstly collected through the sensors of different intelligent devices in the hotel guest room, and the collected guest room environment data is pre-processed and stored, and the specific values ​​of the guest room environment data collected at different times are different; then the guest room environment data is transmitted to the general control center through the data transmission path of the corresponding sub-control system; the general control center intelligently controls the hotel guest room environment according to the guest room environment data collected at different stages, and the values ​​of different environmental parameters are combined into different scene modes of the hotel guest room, and the corresponding different comfort levels are formed. In order to satisfy the guests entering the guest room to quickly reach a satisfactory guest room comfort level, the general control center respectively performs data analysis on different adjustment processes, and the adjustment process of the hotel guest room environment The process is divided into an initial adjustment process and a manual adjustment process; in the initial adjustment process, after the main control center detects the resident's check-in information, it adjusts the room environment before the resident enters the hotel room, and sends automatic control signals of the smart devices in the hotel room through the smart gateway and the communication unit. The scene mode corresponding to the room environment data changes dynamically with the operation of the smart devices in the room; and the law of dynamic changes is analyzed to obtain the working efficiency of the smart devices in the hotel room and the comprehensive impact of the overall scene change under the initial scene mode; in the manual adjustment process, the main control center combines the state transition matrix obtained by the initial adjustment process analysis with the manual adjustment process to obtain a fixed scene mode that is closest to the resident's personalized needs, and the fixed scene mode corresponds to the smooth adjustment point in the manual adjustment process. On the basis of the smooth adjustment point, individual environmental parameters are regulated, so that on the basis of satisfying the guests' adjustment of the adjusted environmental parameters, other environmental parameters can also automatically adapt to the guests' personalized needs, so that the adjustment process matches the adaptability of different scene modes.

[0067] The above is a further detailed description of the present invention in combination with specific embodiments, but it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A hotel room environment intelligent control method, characterized in that: Intelligent control of guest room scenes is achieved through analysis of the guest room environment data in the hotel. The specific analysis process is as follows: The room environment data is collected through sensors of different smart devices in the hotel rooms, and the collected room environment data is pre-processed and stored. The room environment data is transmitted to the main control center through the data transmission path of the corresponding sub-control system; The sub-control system controls different environmental parameters in the guest room environmental data respectively. The environmental parameters in the hotel guest room at different times form corresponding scene modes. The scene modes include initial scene mode, dynamic scene mode, fixed scene mode and most adaptable scene mode. The time when the resident checks in is recorded as t0. After the main control center detects the resident's check-in information, the adjustment before the resident enters the hotel room is the initial adjustment. The automatic control signal of the smart device in the hotel room is sent through the smart gateway and the communication unit to start and intelligently control the smart devices in the hotel room. The scene mode corresponding to the room environment data at time t0 changes dynamically with the operation of the smart devices in the room; The time when the resident enters the guest room is recorded as t * , from t0 to t * After the initial adjustment within the time period, t * The dynamic scene mode corresponding to the moment is recorded as the initial scene mode. After the resident enters the hotel room, the scene mode of the hotel room environment is manually adjusted, and the data in the manual adjustment process is recorded as the manual adjustment data; The overall control center combines t0 to t * The guest room environment data and the automatic control of intelligent devices within the time period are used to establish a multi-dimensional spatial dynamic analysis model for the initial adjustment process, and the state conversion matrix of the guest room environment data corresponding to the environmental parameters is obtained. * Taking time as the starting point, the behavior of residents and the process of manual adjustment are adaptively analyzed in combination with the state transition matrix, and the most adaptive scene mode of residents is obtained from the adaptive process of manual adjustment data and room environment data; The overall control center is based on t0 to t * The guest room environment data collected during the initial adjustment is used to obtain the state conversion matrix of the environment parameters. The environment parameters corresponding to the scene modes at different times are different. The data indicators of the environment parameters corresponding to the scene modes are expressed as a matrix. The column vector of the matrix is ​​the transpose of the spatial distribution vector corresponding to the environment parameters, which is obtained through analysis by the general control center. The number of environment parameters is recorded as n, and the matrix is ​​expressed as t represents the time value, t∈[t0, t * ], p t is the environmental parameter matrix of the scene mode at time t. The control processes of different environmental parameters are connected through the bus to form a control network. The environmental parameter matrix corresponding to time t0 is t * The environmental parameter matrix corresponding to the initial scene mode at the moment is: Environmental parameter matrix is the initial adjustment matrix, and the dynamic change process of environmental parameters is placed in multidimensional space for dynamic analysis. The state variables of different environmental parameters in space are recorded as x i (t), i∈[1,n], the state variable of the overall control center is recorded as x(t)=[x1(t), x2(t), ..., x n (t)] T , the analytical equation is as follows: x(t)=Hx(t+1)+bε, Among them, x(t) and x(t+1) are the state equations of the guest room environment parameters of the general control center at time t and time t+1 respectively, H is the state transfer matrix, b is the input vector, and ε is the state analysis error; According to the analysis of the state equation corresponding to the environmental parameters at different times, the * The state transfer matrix H of the environmental parameters between the two rooms is recorded as the product of the space conversion matrix S and the initial adjustment matrix X, H = S × X. The time point t at which the resident enters the guest room * Different, the corresponding analysis data set is also different, and the dynamic analysis results are also different. * The state transfer matrix of the initial control process at time instant is combined with the adaptive process of human control.

2. A hotel room environment intelligent control method according to claim 1, characterized in that: The adjustment process of the hotel room environment is divided into two parts, corresponding to two time periods, from the time t0 when the resident checks in to the time t0 when the resident enters the room * The time period is from the time when the occupant enters the room to the time when the scene mode is adjusted to the most suitable mode, t0 to t * This is the initial adjustment process of the master control center. The resident enters the guest room and manually adjusts the hotel's smart devices. The manually adjusted data is transmitted to the master control center through the communication system. The master control center combines the state transition matrix and the manually adjusted data to adaptively adjust the hotel room environment. The total control center adaptively adjusts the hotel room environment after manual adjustment by combining the initial adjustment process with the manual control data, and records the scene mode at time t as the initial scene mode of the adaptive analysis process. The corresponding environmental parameter matrix of the system is * Let the number of environmental parameters in the manual adjustment data be m, and m < n for the manually adjusted environmental parameters. The total control center extracts the behavior data of the住户 from the manual adjustment data and analyzes it in combination with the operating parameters of the intelligent devices to obtain the expected values of the environmental parameters by the住户, denoted as the expected vector (C1, C2, C3,..., C ), and then determines the fixed scene mode that is closest to the scene mode expected by the住户 according to the expected vector. m ) 3. A hotel room environment intelligent control method according to claim 1, characterized in that: In the adaptive process of the hotel room environment, combined with t0 to t * The state transfer matrix in time period t * The process from time to the final adjustment time T is analyzed. The time point t at which the resident enters the guest room * Different, depending on t0 to t * The state transfer matrix obtained by the dynamic analysis process within the time period is also different. A data pool is constructed based on the data of the initial adjustment process of different residents staying in the same guest room. The data in the data pool is analyzed to obtain the spatial transformation matrix S of the state transfer matrix. The influence of the spatial transformation matrix on the environmental parameters is only related to the spatial distribution of the hotel rooms. The initial adjustment matrix X is related to the operating parameters and time of the smart devices in the guest room during the initial adjustment process.

4. A hotel room environment intelligent control method according to claim 1, characterized in that: The state transfer matrix of the artificial adjustment process is analyzed according to the initial adjustment process. The specific process is as follows: H=S×X Among them, H is the state transfer matrix in the initial adjustment process, H * is the state transfer matrix in the artificial adjustment process, X * is the artificial adjustment matrix, at t * From time T to time T, the scene mode is related to human adjustment, cos(β,δ) is the similarity between the initial scene mode and the fixed scene mode, μ i is the spatial transfer coefficient of the environmental parameter, according to t0 to t * The state transfer matrix within the time period is obtained by artificially adjusting the state transfer matrix H * .

5. A hotel room environment intelligent control method according to claim 4, characterized in that: In the process of manual adjustment, the general control center first calculates the state transfer matrix H * The scene mode is adjusted to obtain the dynamic scene mode, and then the dynamic scene mode is further modified according to the scene mode expected by the residents. The column vectors in the environmental parameter matrix corresponding to the dynamic scene mode that coincide with the environmental parameters in the expected vector are extracted. The overall control center then uses the values ​​of the corresponding environmental parameters in the expected vector as the target value C i ,i∈[1,m], taking the column vector as the initial distribution value of the corresponding environmental parameter, the single environmental parameter is corrected one by one to obtain the most adaptive scene mode of the resident.

6. A hotel room environment intelligent control system, characterized in that: The method of any one of claims 1 to 5 is applied to the present system, which includes a general control center, a communication module, an intelligent gateway, a sub-control system, and a mobile terminal module. The sub-control system includes a lighting subsystem, an access control subsystem, an air-conditioning subsystem, a ventilation subsystem, a music subsystem, and a curtain subsystem. The access control subsystem identifies the residents entering the system, and the data generated by different modules are transmitted to the general control center through a bus and an intelligent gateway.

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