CN112218406A - Hotel personalized intelligent lighting system based on automatic user identity recognition - Google Patents

Hotel personalized intelligent lighting system based on automatic user identity recognition Download PDF

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CN112218406A
CN112218406A CN202011175538.8A CN202011175538A CN112218406A CN 112218406 A CN112218406 A CN 112218406A CN 202011175538 A CN202011175538 A CN 202011175538A CN 112218406 A CN112218406 A CN 112218406A
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user
modulation
lamp
value
vector
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CN112218406B (en
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邹细勇
张维特
井绪峰
李晓艳
陈亮
石岩
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China Jiliang University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

The invention provides a hotel personalized intelligent lighting system based on automatic user identity recognition. The host unit carries out fuzzy classification on personal characteristic data of the user after identity authentication to obtain characteristic membership values, light modulation instructions are analyzed to obtain modulation values of all lamps, comparison is carried out on the basis of vectors of the characteristic membership values of the user and the lamp modulation vectors with historical data of the user living in a database, the lamp modulation vectors preferred by the user are presumed according to the similarity among the vectors, and the presumed result is pushed to the user and is sent to a lamp group to carry out light modulation after being confirmed. According to the invention, the dimming preference of the user who stays in the guest room and does not operate the lamp is presumed according to the individual characteristics of the user and the similarity of dimming operation, and the lighting effect which is possibly interested in the user can be quickly pushed to the user, so that personalized lighting parameter recommendation and one-click scene lighting are realized.

Description

Hotel personalized intelligent lighting system based on automatic user identity recognition
The application is a divisional application with application number 201910287078.9, application date 2019, 03/04/03 and invention name "hotel personalized intelligent lighting device, system and method based on user identity automatic identification".
Technical Field
The invention relates to a hotel personalized intelligent lighting system based on automatic user identity recognition, and belongs to the field of intelligent lighting.
Background
Along with the gradual maturity of the LED intelligent lighting technology, the popularization rate of the LED intelligent lighting is higher and higher. The LED illumination system has the advantages that the LED illumination system is efficient and energy-saving, illumination modes are diversified, illumination effects can be switched in real time according to different scene requirements, and the LED illumination system is humanized. The hotel industry, as a representative service industry, is very focused on the check-in experience of customers. Because the main use areas of customers are concentrated in the indoor environment and the use time is concentrated in the evening, the industry has stronger requirements on efficient, practical and personalized intelligent lighting equipment.
Meanwhile, with the continuous development of the internet industry and the arrival of the big data era, the personalized recommendation function is taken as a product and service recommendation function which can automatically eliminate redundant information and search an optimal result according to the characteristics of a user, and the application range of the product and service recommendation function is gradually widened.
However, for the hotel industry, the currently used intelligent lighting devices in the industry are often limited to simple infrared and voice-operated switching devices or wireless remote control devices, and the like, and the pertinence is not high, and the lighting experience with higher applicability is provided for the check-in user according to the personalized lighting of the check-in user.
SUMMARY OF THE PATENT FOR INVENTION
The invention aims to provide a hotel personalized intelligent lighting device, a hotel personalized intelligent lighting system and a hotel personalized intelligent lighting method based on automatic user identity recognition, which are integrated with the advantages of intelligent lighting equipment and a personalized recommendation function and provide a more personalized lighting experience for a hotel check-in user.
One of the technical solutions of the present invention is to provide a hotel personalized intelligent lighting device with the following structure based on user identity automatic identification, which comprises a host unit and a user interface unit, wherein the host unit comprises an input module, an identity authentication module, a user characteristic analysis module, a user modulation analysis module, an illumination recommendation module, an output module and a storage module, and the user interface unit is provided with an operation panel, a display screen and a user identity identification module;
the host unit is configured to:
based on the user identification characteristic information collected by the user identification module, the identification module judges whether the user is a legal user or not according to the comparison between the information and the pre-stored data in the external server database and identifies the user identity,
the legal user inputs the registration information such as personal characteristic parameters of the user from the user interface unit, and simultaneously can input the dimming instruction for modulating the color temperature and the brightness of the dimmable lamp set in the hotel guest room, the information and the instruction are transmitted to the host unit through the input module and are transferred to the database of the external server by the host unit,
the personal characteristic parameters of the user comprise the categories of age, gender, area, occupation, favorite color temperature, favorite brightness, number of people living in, travel purpose and the like,
the user characteristic analysis module processes and analyzes personal characteristic data of a user according to categories, firstly, a fuzzy variable set is established for each category in the domain range of the category, and a membership function is established for each fuzzy variable in the set; then, calculating the membership degree value of each fuzzy variable corresponding to each category of each data in the personal characteristic data of the user according to the membership degree function, and arranging all the membership degree values into a characteristic membership degree value vector in sequence; then, the characteristic membership value vectors are respectively stored in a storage module and an external database,
the user modulation analysis module processes the dimming signals of the lamps in the corresponding dimmable lamp group in the dimming instruction input by the user through the user interface unit to obtain corresponding modulation values, arranges the modulation values into a lamp modulation vector in sequence and then respectively stores the lamp modulation vector in the storage module and the external database,
the illumination recommending module compares the characteristic membership value vector and the lamp modulation vector of the user with other historical living user data in an external database, speculates the final lamp modulation vector of the user according to the similarity between the vectors, and recommends the final lamp modulation vector to the user through the user interface unit,
and after the user confirms the recommendation, sending a dimming instruction to the dimmable lamp bank through the output module.
Preferably, when the check-in user registers in the foreground, the necessary identity information including ID card number, room number, etc. is stored in the database and transmitted to the host unit in the room where the user is checked in,
the user interface unit is provided with three interfaces, namely a login interface, a registration interface and a lamp modulation interface, after identity authentication is carried out on the login interface by a check-in user, the user enters a subsequent interface by the identified user identity,
the legal user can send information to the host unit through the registration interface and the lamp modulation interface, thereby perfecting the personal characteristic parameters of the user and the modulation operation of switching on and off the lamp in the guest room and the brightness and the color temperature.
Preferably, the host unit is further configured to:
when a new check-in user u checks in the hotel for the first time and registers through the user interface unit, the illumination recommending module compares the characteristic membership value vector of the user with the characteristic membership value vectors of other historical check-in users v in the database according to the registration information of the user, calculates the similarity between the two vectors,
Figure BSA0000223050790000021
Figure BSA0000223050790000031
wherein ,simi(u, v) is the characteristic similarity of users u and v in the ith parameter category dimension, I is the category set such as the age, j is the number of fuzzy variables in the fuzzy variable set of the ith parameter category, and muik(ui)、μik(vi) The parameter values for users u, v in the ith category correspond to the membership values of the kth fuzzy variables in this category, k being 1, 2.
Preferably, the host unit is further configured to:
for the non-first-time living user, when the living user u modulates the color temperature and the brightness of the lamp through the user interface unit, the modulation information of the user u is recorded, and meanwhile, the illumination recommending module establishes a lamp modulation vector [ X ] according to the modulation value of the user uu，Yu]：
Figure BSA0000223050790000032
wherein ,XuThe brightness modulation values of the user u to partial lamps in the adjustable light set in the guest room, such as m lamps, are represented, and the corresponding values are x1To xm，YuRepresenting the color temperature modulation values of the user u to the m lamps in the guest room, wherein the corresponding values are y1To ym，
Then, based on the lamp modulation vector, comparing the lamp modulation vector with the lamp modulation vectors of the historical living users stored in the database, and calculating the vector similarity one by one:
sim(u，v)＝α·simx+(1-α)·simy
Figure BSA0000223050790000033
wherein m represents the number of lamps modulated by living users together, xi，u、yi，u、xi，v、yi，vRespectively representing the brightness and color temperature modulation values of the lamp by the checked-in users u and v,
Figure BSA0000223050790000034
respectively, represent the average value of the corresponding modulation values,
Figure BSA0000223050790000035
for the arithmetic mean of the brightness modulation values of the m modulated lamps for the user u,
simx(u，v)、simyand (u, v) and sim (u, v) respectively represent the brightness similarity, the color temperature similarity and the overall vector similarity of u and v, the overall similarity is the weighted sum of the brightness similarity and the color temperature similarity, and alpha is the weight of the brightness similarity.
Preferably, the host unit is further configured to:
after the calculation of the vector similarity is completed, K historical living users with the highest similarity are taken as the neighbors of u to form a neighbor set of u, and then the recommended brightness modulation value of the lamp i in the guest room of the living user u is presumed according to the historical modulation information of the living users in the neighbor setx′u，iAnd color temperature modulation value y'u，i：
Figure BSA0000223050790000041
Wherein, i is 1, 2,. and n;
the output module modulates the brightness to a value x'u，iAnd color temperature modulation value y'u，iAnd the modulation data is sent to the user interface unit, and the confirmed modulation data returned by the user interface unit is stored in a database and is sent to a driver of the lamp group through the output module.
Preferably, the lamps i are all lamps which are not modulated by the user u in the guest room and are confirmed to be operated.
In another embodiment of the present invention, the host unit may be further configured to:
when a new user u enters the residence for the first time and is registered through a user interface unit, classifying the user u by adopting a fuzzy classification method according to user registration information, and calculating the classification:
F＝S+N+Y+D
wherein S is the gender of the check-in user, such as male 0 for female 1; n is the number of people living in, and generally takes values of 1, 2, 3 and the like; y is the age of the user living in, and the decimal place obtained by subtracting 20 from the actual age value is cut off to be 0 to 4; d is for travel purposes, and the numerical values are from 0 to 6, which correspond to business, travel, guest meeting, leisure, meeting, office and long renting respectively. F is the classification value of the checked-in user, and the users with the same score are classified into the same category, and the numerical value may be 1 to 14, i.e. all the historical checked-in users are classified into 14 categories.
After the user enters the guest room, the lighting recommendation module compares the F value with F values of other historical living users in an external database, combines the users with the same value into a neighbor set of the user, calculates the average of the final lamp modulation vector of the user according to the modulation values of the users in the neighbor set, takes the average as a speculative value and combines the speculative value into a modulation vector, and then recommends the modulation vector to the user through a user interface unit.
In still another embodiment of the present invention, there is also provided a hotel personalized intelligent lighting system based on automatic user identity recognition, which includes a light color adjustable lamp set having light properties with adjustable brightness and color temperature, a user interface unit for parameter input and dimming operation, a server, and a host unit respectively connected to the lamp set, the user interface unit and the server,
the user interface unit is provided with an operation panel, a display screen and a user identity identification module;
the host unit comprises an input module, an identity authentication module, a user characteristic analysis module, a user modulation analysis module, a lighting recommendation module, an output module and a storage module, and is configured to:
based on the user identification characteristic information collected by the user identification module, the identity authentication module judges whether the user is a legal user or not according to the comparison between the information and the pre-stored data in the server database and identifies the user identity,
the legal user inputs the registration information such as personal characteristic parameters of the user from the user interface unit, and simultaneously can input the dimming instruction for modulating the color temperature and the brightness of the dimmable lamp set in the hotel guest room, the information and the instruction are transmitted to the host unit through the input module and are transferred to the database of the external server by the host unit,
the personal characteristic parameters of the user comprise the categories of age, gender, area, occupation, favorite color temperature, favorite brightness, number of people living in, travel purpose and the like,
when a new check-in user u checks in the hotel for the first time, the user characteristic analysis module processes and analyzes personal characteristic data of the user according to categories, firstly, a fuzzy variable set is established for each category in the domain range of the category, and a membership function is established for each fuzzy variable in the set; then, calculating the membership degree value of each fuzzy variable corresponding to each category of each data in the personal characteristic data of the user according to the membership degree function, and arranging all the membership degree values into a characteristic membership degree value vector in sequence; then, the characteristic membership value vectors are respectively stored in a storage module and a server database,
the user modulation analysis module processes the dimming signals of the lamps in the corresponding dimmable lamp group in the dimming instruction input by the user through the user interface unit to obtain corresponding modulation values, arranges the modulation values into a lamp modulation vector in sequence and then respectively stores the lamp modulation vector in the storage module and the server database,
the illumination recommending module compares the characteristic membership value vector and the lamp modulation vector of the user with other historical living user data in the server database, speculates the final lamp modulation vector of the user according to the similarity between the vectors, and recommends the final lamp modulation vector to the user through the user interface unit,
after the user confirms the recommendation, a dimming instruction is sent to the dimmable lamp group through the output module,
wherein, the similarity of the characteristic membership value vector is calculated according to the following formula:
Figure BSA0000223050790000051
wherein ,
Figure BSA0000223050790000052
simi(u, v) is the characteristic similarity of a new living user u and a historical living user v in the database on the ith parameter category dimension, I is the age and other category set, j is the number of fuzzy variables in the fuzzy variable set of the ith parameter category, and muik(ui)、μik(vi) The parameter values for users u, v in the ith category correspond to the membership values of the kth fuzzy variables in this category, k being 1, 2.
Preferably, the lamp group is composed of a plurality of dimmable LED lamps and is distributed on the ceiling of the hotel, the drivers of the LED lamps are connected with the host unit through the communication interface, the host unit changes the driving current of each driving channel in the LED lamps through the drivers according to the instructions sent by the user interface unit to realize the modulation of the brightness and the color temperature of the LED lamps,
the modulation value is the PWM wave duty ratio value of the driving current of each driving channel,
the user interface unit can be connected with the host unit through a wireless route in the guest room, and meanwhile, the host unit is connected with the LED lamp group with adjustable light color and the server in a wired connection mode.
Preferably, the operation panel is provided with a plurality of scene mode keys,
in the debugging stage: after a user presses a scene mode key, the brightness and the color temperature of each lamp in the customer service under the mode are modulated, the mode mark is supplemented in the formed lamp modulation vector, when the illumination recommendation module compares the lamp modulation vectors, only the vectors with the same mode mark are compared, and the mode mark is also supplemented in the estimated and the final lamp modulation vector confirmed by the user,
in the application stage: by pressing a scene mode key, the host unit sends a dimming instruction to the dimmable light set through the output module based on the final light modulation vector confirmed by the user in the corresponding mode.
In still another embodiment of the present invention, a personalized intelligent lighting method for hotels based on automatic identification of user identities is provided, which includes the following steps:
s1, initializing, establishing the registration of user' S residence and fuzzy classification standard,
registering user identity and identification characteristic information in the hotel foreground and recording the information into a server database,
establishing fuzzy variable sets in the domain scope of each user personal characteristic parameter category, establishing membership function for each fuzzy variable in the sets,
s2, identity authentication and information collection,
in hotel rooms, based on the collected user identification characteristic information, the host unit compares the information with information prestored in a server database, judges whether the user is a legal user or not and identifies the identity of the user,
the registration information such as personal characteristic parameters of the user is received through the user interface unit and is transferred to the database of the server by the host unit, the personal characteristic parameters of the user comprise the categories of age, gender, area, occupation, favorite color temperature, favorite brightness, number of people living in, travel purpose and the like,
s3, the host unit judges whether the user is in the first time and constructs the user personality vector, if the user is in the first time, S4 is turned, otherwise, the user interface unit receives the dimming command that the user modulates the color temperature and the brightness of the adjustable light set in the hotel guest room, the dimming signal of each light in the corresponding adjustable light set in the dimming command is processed to obtain the corresponding modulation value, the modulation values are arranged into a light modulation vector as the user personality vector in sequence, then S5 is turned,
s4, for the user who enters the first time, firstly, for each personal characteristic parameter, calculating the membership degree value corresponding to the personal characteristic parameter value of the user based on the membership degree function of each fuzzy variable of the category where the parameter is located, and arranging all the membership degree values into a characteristic membership degree value vector as the user personality vector in sequence,
s5, storing the user personality vector in the storage module of the host unit and the server database respectively,
s6, comparing the user personality vector of the user with other historical living user data in the server database, speculating the light modulation vector preferred by the user according to the similarity between the vectors,
and S7, recommending the presumed result to the user through the user interface unit, after the user confirms or adjusts the recommendation, transmitting the confirmed lamp modulation vector to the dimmable lamp group through the output module of the host unit for dimming, and simultaneously storing the lamp modulation vector in the server database.
Preferably, the step S1 further includes:
when the check-in user registers in the foreground, the registered necessary identity information including ID card number, guest room number, etc. is stored in the server database and transmitted to the host unit in the guest room,
three interfaces, namely a login interface, a registration interface and a lamp modulation interface, are arranged on the user interface unit, and after identity authentication is carried out on the login interface by a check-in user, the user enters a subsequent interface by the identified user identity,
the legal user can send information to the host unit through the registration interface and the lamp modulation interface, thereby perfecting the personal characteristic parameters of the user and the modulation operation of switching on and off the lamp in the guest room and the brightness and the color temperature.
Preferably, in step S1, the server is a cloud server, and the system receives registration information such as user personal characteristic parameters through the user interface unit, and then the user interface unit directly stores the information in a database of the cloud server.
Preferably, the step S3 further includes:
for the non-first-time living user, when the living user u modulates the color temperature and the brightness of the lamp through the user interface unit, the modulation information of the user u is recorded, and meanwhile, the illumination recommending module establishes a lamp modulation vector [ X ] according to the modulation value of the user uu，Yu]：
Figure BSA0000223050790000071
wherein ,XuThe brightness modulation values of the user u to partial lamps in the adjustable light set in the guest room, such as m lamps, are represented, and the corresponding values are x1To xm，YuRepresenting the color temperature modulation values of the user u to the m lamps in the guest room, wherein the corresponding values are y1To ym；
The step S6 further includes:
based on the lamp modulation vectors, comparing the lamp modulation vectors with lamp modulation vectors of historical living users stored in a database, and calculating the vector similarity one by one:
sim(u，v)＝α·simx+(1-α)·simy
Figure BSA0000223050790000081
wherein m represents the number of lamps modulated by living users together, xi，u、yi，u、xi，v、yi，vRespectively representing the brightness and color temperature modulation values of the lamp by the checked-in users u and v,
Figure BSA0000223050790000082
respectively, represent the average value of the corresponding modulation values,
Figure BSA0000223050790000083
for the arithmetic mean of the brightness modulation values of the m modulated lamps for the user u,
simx(u，v)、simyand (u, v) and sim (u, v) respectively represent the brightness similarity, the color temperature similarity and the overall vector similarity of u and v, the overall similarity is the weighted sum of the brightness similarity and the color temperature similarity, and alpha is the weight of the brightness similarity.
Preferably, the step S6 further includes:
when the user u for the first time of living is detected, the characteristic membership value vector of the user is compared with the characteristic membership value vectors of other historical living users v in the database to calculate the similarity between the two vectors,
Figure BSA0000223050790000084
Figure BSA0000223050790000085
wherein ,simi(u, v) is the characteristic similarity of users u and v in the ith parameter category dimension, I is the category set such as the age, j is the number of fuzzy variables in the fuzzy variable set of the ith parameter category, and muik(ui)、μik(vi) The parameter values of the users u and v in the ith category respectively correspond to the membership degree of the kth fuzzy variable in the categoryThe value, k ═ 1, 2.
Preferably, the step S6 further includes:
after vector similarity calculation is finished, K historical checked-in users with the highest similarity are taken as the neighbors of u to form a neighbor set of u, and then the recommended brightness modulation value x 'of the lamp i in the guest room of the checked-in user u is estimated according to the historical modulation information of the checked-in users in the neighbor set'u，iAnd color temperature modulation value y'u，i：
Figure BSA0000223050790000091
Wherein, i is 1, 2,. and n;
the output module modulates the brightness to a value x'u，iAnd color temperature modulation value y'u，iAnd the modulation data is sent to the user interface unit, and the confirmed modulation data returned by the user interface unit is stored in a database and is sent to a driver of the lamp group through the output module.
Preferably, the lamps i are all lamps which are not modulated by the user u in the guest room and are confirmed to be operated.
Preferably, it further comprises the steps of:
the PWM wave duty ratio value of the driving current of each driving channel in the dimmable lamp set is used as a modulation value, and the modulation value is transmitted in the dimming instruction,
the lamp modulation vectors are displayed in a list on a display screen in the user interface unit.
Preferably, it further comprises the steps of:
a plurality of scene mode keys are provided on an operation panel in the user interface unit,
in the debugging stage, after a user presses a scene mode key, the brightness and the color temperature of each lamp in the customer service under the mode are modulated, the formed lamp modulation vectors are supplemented with the mode marks, the illumination recommending module compares the same vectors of the mode marks when comparing the lamp modulation vectors, the mode marks are also supplemented in the final lamp modulation vectors which are estimated and confirmed by the user,
in the application stage, the user presses a scene mode key, and the host unit sends a dimming instruction to the dimmable lamp group through the output module based on the final lamp modulation vector confirmed by the user in the corresponding mode.
In another embodiment of the present invention, the step S4 adopts the following processing:
when a new user u enters the residence for the first time and is registered through a user interface unit, classifying the user u by adopting a fuzzy classification method according to user registration information, and calculating the classification:
F＝S+N+Y+D
wherein S is the gender of the check-in user, such as male 0 for female 1; n is the number of people living in, and generally takes values of 1, 2, 3 and the like; y is the age of the user living in, and the decimal place obtained by subtracting 20 from the actual age value is cut off to be 0 to 4; d is for travel purposes, and the numerical values are from 0 to 6, which correspond to business, travel, guest meeting, leisure, meeting, office and long renting respectively. F is the classification value of the checked-in user, and the users with the same score are classified into the same category, and the numerical value may be 1 to 14, i.e. all the historical checked-in users are classified into 14 categories.
Step S6 employs the following processing:
after the user enters the guest room, the lighting recommendation module compares the F value of the user with F values of other historical living users in the server database, combines the users with the same value into a neighbor set of the user, calculates the average of the final lamp modulation vector of the user according to the modulation values of the users in the neighbor set, takes the average as a speculative value and combines the speculative value into a modulation vector, and then recommends the modulation vector to the user through a user interface unit.
In the lighting system, the user interface unit is connected with the host unit through a wired interface or a wireless WIFI interface, and the user interface unit can send user registration information and a regulation and control instruction to the host unit through a WIFI network of a hotel room. The host unit is connected with the LED strings of the LED lamps with adjustable light color through the driver, carries out brightness and color temperature modulation on the LED lamp sets with adjustable light color according to the regulation and control instructions of the user interface unit, simultaneously inputs user input information and the regulation and control instructions into the database, compares the information with other historical living users, conjectures user regulation and control parameters according to the user characteristics and the similarity of the modulation values of all the lamps in the regulation and control instructions, and recommends the user through the user interface unit so as to meet the personalized lighting requirements of the user.
The LED lamp set with adjustable light color comprises a plurality of LED lamps with adjustable brightness and color temperature, can be arranged on the ceiling of a hotel for the improved hotel according to the original lamp layout of the hotel, and is connected with a host unit, the host unit comprises a WIFI communication module, a wireless router which can be connected into a guest room environment through the module is communicated with a user interface unit, and meanwhile, the LED lamp set with adjustable light color is connected with a server in a wired connection mode. After the host unit recommends the presumed lamp modulation vector to the user, the driver is controlled to correspondingly change the driving current of each driving channel of the LED lamp with adjustable light color by changing the duty ratio of the PWM wave according to the confirmation instruction sent by the user interface unit, so that the brightness and the color temperature of each LED lamp in the guest room are modulated.
Recommended luminance modulation value x'u，iAnd color temperature modulation value y'u，iAfter the calculation is completed, the combination is a lamp modulation vector which is sent to a user interface unit and displayed on the interface of the user interface unit. The user can directly confirm the modulation parameter list corresponding to the vector, and can also modify the modulation parameters of part of the LED lamps. After the user clicks on the operation panel for confirmation, the user interface unit sends a lamp modulation instruction to the host unit according to various modulation parameters on the interface; and then, the host unit stores the lamp modulation vectors into a database of the server, and simultaneously sends corresponding PWM duty ratio modulation values to all drivers of the LED lamps through the output module, so that scene illumination in the guest room is realized.
The invention has the advantages that:
1. similarity calculation is carried out through analysis of user characteristics according to categories, the lighting requirement of the user is presumed to be caught for the first time, and the problem of cold start of recommended applications is solved;
2. after the user modulates part of the light, the system can speculate the modulation requirements of the user on other light by using similar modulation of the historical living user, and the lighting effect is more targeted;
3. according to the invention, through panel operation, single-lamp dimming and one-key switching of recommended scenes can be realized, and the method is simple and convenient.
Drawings
Fig. 1 is a flow chart of a working process of a hotel personalized intelligent lighting method based on user identity automatic identification;
fig. 2 is a block diagram of the hotel personalized intelligent lighting system based on automatic identification of user identity;
fig. 3 is a schematic diagram of an application environment of the personalized intelligent lighting system for the hotel;
FIG. 4 is a diagram of an attribute membership function;
FIG. 5 is a signal flow diagram for personalized recommendation of lamp modulation parameters;
FIG. 6 is a scene lighting operator interface.
wherein ：
1000 hotel personalized intelligent lighting system automatically recognized based on user identity, 100 host unit, 200 dimmable lamp set, 300 user interface unit, 400 server, 800 hotel personalized intelligent lighting device automatically recognized based on user identity,
110 input module, 120 user characteristic analysis module, 130 lighting recommendation module, 140 output module, 150 storage module, 160 user modulation analysis module, 170 identity authentication module,
the number of drivers 210, LED lamps 220,
310 display screen, 320 operation panel, 330 user identification module.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention is not limited to only these embodiments. The invention is intended to cover alternatives, modifications, equivalents and alternatives which may be included within the spirit and scope of the invention.
In the following description of the preferred embodiments of the present invention, specific details are set forth in order to provide a thorough understanding of the present invention, and it will be apparent to those skilled in the art that the present invention may be practiced without these specific details.
The invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. It should be noted that the drawings are in simplified form and are not to precise scale, which is only used for convenience and clarity to assist in describing the embodiments of the present invention.
Example 1
As shown in fig. 1, the hotel personalized intelligent lighting method based on automatic user identity identification of the present invention includes the following steps:
s1, initializing, establishing the registration of user' S residence and fuzzy classification standard,
registering user identity and identification characteristic information in the hotel foreground and recording the information into a server database,
establishing fuzzy variable sets in the domain scope of each user personal characteristic parameter category, establishing membership function for each fuzzy variable in the sets,
s2, identity authentication and information collection,
in hotel rooms, based on the collected user identification characteristic information, the host unit compares the information with information prestored in a server database, judges whether the user is a legal user or not and identifies the identity of the user,
the registration information such as personal characteristic parameters of the user is received through the user interface unit and is transferred to the database of the server by the host unit, the personal characteristic parameters of the user comprise the categories of age, gender, area, occupation, favorite color temperature, favorite brightness, number of people living in, travel purpose and the like,
s3, the host unit judges whether the user is in the first time and constructs the user personality vector, if the user is in the first time, S4 is turned, otherwise, the user interface unit receives the dimming command that the user modulates the color temperature and the brightness of the adjustable light set in the hotel guest room, the dimming signal of each light in the corresponding adjustable light set in the dimming command is processed to obtain the corresponding modulation value, the modulation values are arranged into a light modulation vector as the user personality vector in sequence, then S5 is turned,
s4, for the user who enters the first time, firstly, for each personal characteristic parameter, calculating the membership degree value corresponding to the personal characteristic parameter value of the user based on the membership degree function of each fuzzy variable of the category where the parameter is located, and arranging all the membership degree values into a characteristic membership degree value vector as the user personality vector in sequence,
s5, storing the user personality vector in the storage module of the host unit and the server database respectively,
s6, comparing the user personality vector of the user with other historical living user data in the server database, speculating the light modulation vector preferred by the user according to the similarity between the vectors,
and S7, recommending the presumed result to the user through the user interface unit, after the user confirms or adjusts the recommendation, transmitting the confirmed lamp modulation vector to the dimmable lamp group through the output module of the host unit for dimming, and simultaneously storing the lamp modulation vector in the server database.
The processing and application of the present invention are described in detail below.
As shown in fig. 2, the hotel personalized intelligent lighting system 1000 based on automatic user identity recognition by using the method of the present invention includes a hotel personalized intelligent lighting device 800 based on automatic user identity recognition, a dimmable light bank 200 with adjustable brightness and color temperature, and a server 400.
The hotel personalized intelligent lighting device 800 automatically identified based on the user identity comprises a host unit 100 and a user interface unit 300; the host unit 100 is provided therein with an input module 110, an identity authentication module 170, a user characteristic analysis module 120, an illumination recommendation module 130, an output module 140, a storage module 150, and a user modulation analysis module 160.
In the lighting system of hotel room, the personalized intelligent lighting device 800 of hotel based on automatic identification of user identity is connected with the dimmable lamp set 200 with adjustable brightness and color temperature and the server 400 respectively.
The user interface unit 300 is provided with an operation panel 320 for parameter input and a display screen 310 for displaying and assisting input operations. The user interface unit 300 is used to input registration information such as user personal characteristic parameters and perform dimming operation on the dimmable light set 200 in the hotel room. And the registration information and the dimming command are transmitted to the host unit 100 through the input module 110 and are transferred to the database in the server 400 by the host unit.
The user identification module 330 is used to enter user identification features for authentication and identification. Preferably, the user identification module 330 may adopt one or more of the following identification methods: fingerprint identification, iris identification, voice identification and face identification.
Referring to fig. 3, the light color adjustable lamp set 200 is an LED lamp set, which is composed of a plurality of LED lamps with adjustable brightness and color temperature. The LED lamps are arranged according to the functional partition according to the guest room structure, and for a modified hotel with the traditional lamps replaced by the LED lamps, the LED lamps can be arranged on the ceiling of the hotel according to the original lamp arrangement. The LED lamps are connected in wired communication with the host unit 100, e.g. one host unit may connect up to 64 LED lamps when a DALI bus is used. The host unit contains a WIFI communication module, and can be connected to a wireless router in the guest room environment through the wireless module, so as to realize communication between the host unit and the user interface unit 300. Meanwhile, the host unit 100 is also connected to the database of the server 400 by means of a wired connection. The host unit 100 changes the PWM duty ratio value transmitted to the LED lamp driver through the output module according to the operation signal sent by the user interface unit 300, so that the driver changes the driving current transmitted to each driving channel, thereby realizing the brightness and color temperature modulation of each LED lamp.
With reference to fig. 1, 2, and 5, the present invention modulates the light of the guest room by analyzing the preference of the living user to the light emitted from each lamp in the lamp group in the guest room, so as to realize lighting of various scenes. The preference analysis is based on dimming data of partial lamps mainly from the current user, and based on the modulation data of brightness, color temperature and the like of the operated dimming lamps, the data are compared with the modulation data of the same lamps of the historical living user recorded in the server database, the similarity degree of the data is analyzed, so that the dimming preference of the current user is presumed based on the modulation data of the historical living user on the lamps which are not dimmed by the current user, and the presumed result is presented to the user for decision making. Based on the accumulation of data, when a user enters a new house type of a hotel or other hotels of a chain hotel group, the dimming preference presumption in the newly-entered hotel room can be carried out according to the existing modulation data of the lamp light, so that personalized intelligent lighting recommendation and decision making are realized.
For this reason, the user modulation analysis module 120 processes the dimming signals of the lamps in the corresponding dimmable lamp set 200 in the dimming instruction input by the user through the user interface unit 300 to obtain corresponding modulation values, and sequentially arranges the modulation values into a lamp modulation vector and then respectively stores the lamp modulation vector in the storage module and the server database.
Referring to fig. 2, 3 and 5, in a hotel room, a dimmable LED lamp set 200 is composed of 11 LED lamps with adjustable brightness and color temperature, which are arranged on a ceiling of the hotel. The host unit 100 and the driver 210 are placed in a ceiling of a guest room toilet, the user interface unit 300 is placed at an entrance of the guest room, and the server 400 is placed in a hotel room.
When a check-in user registers at a foreground, identity card information, a contact way and a guest room number need to be registered according to the regulations, the information can be operated by the foreground of the hotel as a basic information table and written into a database of a server, wherein the identity card number is used as a main key ID of the user, namely a unique identifier. At the same time, the biological characteristics of the user are recorded into a database through an identity recognition module, such as a fingerprint recognition module, and the user characteristics are used for the identification of the user by an identity authentication module in a host unit in the guest room.
In the database of the server, a dimming information table of the LED lamps in various guest rooms is also arranged for the user, and dimming preference of the LED lamps is stored in the table in a format of lamp modulation vectors. Each record in the table comprises a user name, an identity card number and modulation parameters of each driving channel of 11 LED lamps in the guest room.
After the check-in user finishes the foreground registration, the check-in user enters the guest room and is connected to the host unit 100 through the user interface unit, and at least three interfaces, namely a login interface, a registration interface and a lamp modulation interface, are arranged in the operation interface formed by the operation panel 320 and the display screen 310 on the user interface unit 300. The first interface is a login interface where user identity authentication is to be performed. Based on the user identification feature information, such as fingerprint information, collected by the user identification module 330, the identity authentication module 170 in the host unit 100 determines whether the user is a legitimate user and identifies the user identity according to the comparison between the information and the data pre-stored in the database of the server 400, and the legitimate user is allowed to enter the subsequent interface with the identified user identity. And in the registration interface, the user completes personal information through checking and the like. In the lamp modulation interface, when the user changes data to modulate the lamp parameters and clicking the modification completion button triggers a setup completion event of the user interface unit, the user interface unit 300 transmits a dimming signal to the host unit 100 in response to the event.
The user interface unit 300 is provided with a dimming interface for each lamp, typically, the brightness of each lamp can be represented by a sliding bar, and the brightness can be adjusted between 0% and 100% by moving a cursor of the sliding bar up and down by a user; for the color temperature, a sector ring with the width of 120-150 degrees similar to a pointer type multimeter can be used for representing an adjustable color temperature interval, and the user moves a cursor to adjust the color temperature. After the user setting is completed, the user interface unit 300 transmits the brightness and color temperature setting values to the host unit 100 through the dimming signal.
The user modulation analysis module 120 in the host unit 100 analyzes the dimming signal, respectively converts the brightness setting value and the color temperature setting value into PWM duty ratio values, i.e., modulation values, corresponding to the driving channel current according to preset corresponding relationships between brightness-driving current and color temperature-driving current, and sequentially arranges the modulation values into a lamp modulation vector and then respectively stores the lamp modulation vector in the storage module 150 and the database of the server 400. Meanwhile, the PWM duty values are sent to the driver 210 of the corresponding LED lamp 220 in the dimmable lamp set 200 through the output module 140, and the driver 210 changes the driving current accordingly, so as to adjust the brightness and the color temperature of the corresponding LED lamp 220 to the setting values of the user interface unit 300, respectively.
Then, the lighting recommendation module 130 compares the light modulation vector of the living user with other historical living user data in the database of the server 400, speculates the final light modulation vector of the user according to the similarity between the vectors, and recommends the final light modulation vector to the user through the user interface unit 300; then, after the user confirms the recommendation, a dimming instruction including the modulation value of each driving channel of all the LED lamps in the guest room or the duty ratio of the driving current PWM is sent to the dimmable light set 200 through the output module 140, so as to implement scene lighting.
For the non-first-time living user, when the living user u modulates the color temperature and the brightness of the lamp through the user interface unit 300, the user modulation analysis module records the modulation information of the user u, and the illumination recommendation module establishes a lamp modulation vector [ X ] according to the modulation value of the user uu，Yu]：
Figure BSA0000223050790000151
wherein ,XuThe brightness modulation values of the user u to partial lamps in the adjustable light set in the guest room, such as m lamps, are represented, and the corresponding values are x1To xm，YuRepresenting the color temperature modulation values of the user u to the m lamps in the guest room, wherein the corresponding values are y1To ym。
The m lamps in the room that have been modulated may be those that currently enter the room, or may be other lamps that have been modulated by the user with their light parameters in the past, for example, lamps in rooms in other hotels in a data range that the hotel can acquire, or lamps in rooms in other different types of rooms in the hotel, or lamps in rooms in the same type of room but different numbers of rooms currently entering the hotel.
Then, based on the lamp modulation vectors, the lighting recommendation module compares the lamp modulation vectors with lamp modulation vectors of other users v who live in the history stored in the server database, and calculates the vector similarity one by one:
sim(u，v)＝α·simx+(1-α)·simy
Figure BSA0000223050790000152
wherein m represents the number of lamps modulated by the living users u and v together, and xi，u、yi，u、xi，v、yi，vRespectively representing the brightness and color temperature modulation values of the lamp by the checked-in users u and v,
Figure BSA0000223050790000161
respectively, represent the average value of the corresponding modulation values,
Figure BSA0000223050790000162
Figure BSA0000223050790000163
respectively for the arithmetic mean of the brightness and color temperature modulation values of the m modulated lamps by the user u,
simx(u，v)、simy(u, v) and sim (u, v) respectively represent the brightness similarity, the color temperature similarity and the overall vector similarity of u and v, the overall similarity is the weighted sum of the brightness similarity and the color temperature similarity, and alpha is a weight value of the brightness similarity between 0 and 1.
Preferably, when the number of the historical occupancy users who have modulated m lamps together with the occupancy user u is not large enough, the number of lamps modulated together may be decreased.
Preferably, when the number of the historical occupancy users who modulate m lamps together with the occupancy user u is not large enough, one or more lamps can be replaced by lamps which are not modulated by the occupancy user u but have modulation records on the replaced lamps by all the selected historical occupancy users, and the modulation value of the occupancy user u on the replaced lamps is set as the default initial value of the lamps, such as 80%, when the vector similarity is calculated.
Then, after the calculation of the vector similarity is finished, taking K history living users with the highest similarity as the neighbors of u and forming a neighbor set of u,then, a recommended brightness modulation value x 'of a lamp i in a guest room of a check-in user u is estimated according to historical modulation information of the check-in user in the neighbor set'u，iAnd color temperature modulation value y'u，i：
Figure BSA0000223050790000164
Wherein, i is 1, 2, n, n is the number of lamps of which the modulation value is not determined by the user u in the room;
the output module modulates the brightness to a value x'u，iAnd color temperature modulation value y'u，iAnd the modulation data is sent to the user interface unit, and the confirmed modulation data returned by the user interface unit is stored in a database and is sent to a driver of the lamp group through the output module.
K is preferably based on the richness of the data record, and is set to a smaller value initially, and the value is increased to a maximum value initially as more and more data records are collected.
The function of some lamps is unique like a mirror front lamp, as an optimization, if all historical living users in a neighbor set of u do not modulate a certain lamp i, all the living users in the set are considered to be satisfied with the default initial value of the modulation value of the lamp, or the brightness and the color temperature value of the lamp are considered not to influence the living experience of the lamp, and the default modulation value of the lamp is used as a recommended value instead of a calculated value.
Recommended luminance modulation value x'u，iAnd color temperature modulation value y'u，iAfter the calculation is completed, the combination is a lamp modulation vector which is sent to a user interface unit and displayed on a display screen of the user interface unit. The user can directly confirm the modulation parameter list corresponding to the vector, and can also modify the modulation parameters of part of the LED lamps. After the user clicks on the operation panel for confirmation, the user interface unit sends a lamp modulation instruction to the host unit according to various modulation parameters on the interface; further, the host unit stores the lamp modulation vectors in a database of the server, and simultaneously sends corresponding PWM duty ratio modulation values to each driver of the LED lamp through the output module,realize the scene illumination in the guest room.
The above realizes personalized lighting parameter recommendation for non-first-time-of-stay users, but for first-time-of-stay users, due to lack of data for modulating light parameters, recommendation cannot be realized in the above manner. For this cold start problem, the present invention is based on an analysis of the user characteristics.
Referring to fig. 1, 2 and 4, after the user logs in the user interface unit 300, the user inputs his/her registration information in the registration interface, which includes personal characteristic parameters, such as age, gender, area, occupation, favorite color temperature, favorite brightness, number of people who live in, and travel purpose. The database of the server 400 is provided with a user characteristic data table in which user primary key IDs and these user individual characteristic parameters are recorded.
The user characteristic analysis module 120 processes and analyzes the user personal characteristic data by category. First, a set of fuzzy variables is established for each class in its domain of discourse and a membership function is established for each fuzzy variable in the set.
Referring to fig. 4, in fig. 4a, for the age parameter category, 4 fuzzy variables are set for teenager, youth, middle-aged, elderly, etc.; in fig. 4b, 3 fuzzy variables such as low color temperature, medium color temperature, and high color temperature are set for the color temperature parameter classes.
Then, according to the established membership function in fig. 4, the membership value of each fuzzy variable in the category corresponding to each data in the user personal characteristic data is calculated, and all the membership values are arranged into a characteristic membership value vector in sequence. Meanwhile, the characteristic membership value vectors are respectively stored in a storage module and a server database.
Then, the illumination recommendation module 130 compares the first living user u's characteristic membership value vector with other historical living user v's characteristic membership value vectors in the database, calculates the similarity between the two vectors,
Figure BSA0000223050790000171
Figure BSA0000223050790000172
wherein ,simi(u, v) is the characteristic similarity of users u and v in the ith parameter category dimension, I is the set of characteristic parameter categories such as the age, j is the number of fuzzy variables in the fuzzy variable set of the ith parameter category, and muik(ui)、μik(vi) The parameter values for users u, v in the ith category correspond to the membership values of the kth fuzzy variables in this category, k being 1, 2.
And then, completing the calculation of the recommended value of the personalized lighting parameter and pushing the recommended value to the first-time user u in a manner similar to the first-time user u.
Example 2
Different from the embodiment 1, in the embodiment, the lighting parameter recommendation is performed on the first-time user by adopting a method of performing fuzzy classification on the user.
When a new user u enters the residence for the first time and is registered through a user interface unit, classifying the user u by adopting a fuzzy classification method according to user registration information, and calculating the classification:
F＝S+N+Y+D
wherein S is the gender of the check-in user, such as male 0 for female 1; n is the number of people living in, and generally takes values of 1, 2, 3 and the like; y is the age of the user living in, and the decimal place obtained by subtracting 20 from the actual age value is cut off to be 0 to 4; d is for travel purposes, and the numerical values are from 0 to 6, which correspond to business, travel, guest meeting, leisure, meeting, office and long renting respectively. F is the classification value of the checked-in user, and the users with the same score are classified into the same category, and the numerical value may be 1 to 14, i.e. all the historical checked-in users are classified into 14 categories.
Then, the illumination recommending module takes all history check-in users with the same classification value in the server database as u neighbors and forms a u neighbor set, and then according to the history of the check-in users in the neighbor setThe history modulation information is used for estimating a recommended brightness modulation value x 'of a lamp i in a guest room of a resident user u by a method of calculating an arithmetic mean value'u，iAnd color temperature modulation value y'u，iAnd pushed to the new check-in user u.
Example 3
The embodiment provides a hotel personalized intelligent lighting system based on automatic user identity recognition, and as shown in fig. 1 to 4, a hotel personalized intelligent lighting system 1000 based on automatic user identity recognition comprises a hotel personalized intelligent lighting device 800 based on automatic user identity recognition, a dimmable lamp set 200 with adjustable brightness and color temperature, and a server 400. The hotel personalized intelligent lighting device 800 automatically recognized based on the user identity includes a host unit 100 and a user interface unit 300.
The host unit 100, to which the light sets, the user interface unit and the server are connected, respectively, includes an input module 110, an identity authentication module 170, a user characteristic analysis module 120, a lighting recommendation module 130, an output module 140, a storage module 150 and a user modulation analysis module 160.
The user interface unit 300 is provided with an operation panel 320 for inputting parameters, a display screen 310 for assisting input operation, and a user identification module 330 for inputting user identification features for authentication and identification.
Based on the user identification feature information collected by the user identification module 330, the identity authentication module 170 determines whether the user is a legitimate user and identifies the user identity according to the comparison between the information and the data pre-stored in the database of the server 400,
a legal user inputs registration information such as user personal characteristic parameters from the user interface unit 300, and also inputs a dimming instruction for modulating the color temperature and brightness of the dimmable light set 200 in a hotel room. These information and instructions are transmitted to the host unit via the input module 110 in the control unit 100 and are transferred by the host unit to the database of the server 400.
The personal characteristic parameters of the user comprise the categories of age, gender, area, occupation, favorite color temperature, favorite brightness, number of people in residence, travel purpose and the like.
When a new check-in user u checks in the hotel for the first time, the user characteristic analysis module 120 performs processing and analysis on the personal characteristic data of the user according to categories:
firstly, establishing a fuzzy variable set for each category in the domain range of each category and establishing a membership function for each fuzzy variable in the set;
then, calculating the membership degree value of each fuzzy variable corresponding to each category of each data in the personal characteristic data of the user according to the membership degree function, and arranging all the membership degree values into a characteristic membership degree value vector in sequence;
and then, respectively storing the characteristic membership value vectors into a storage module and a server database.
The user modulation analysis module 160 processes the dimming signals of the lamps in the corresponding dimmable lamp group in the dimming instruction input by the user through the user interface unit 300 to obtain corresponding modulation values, and arranges the modulation values in sequence into a lamp modulation vector and stores the lamp modulation vector in the storage module 150 and the database of the server 400.
The illumination recommendation module 130 compares the characteristic membership value vector and the lamp modulation vector of the user with other historical living user data in the server database, infers the final lamp modulation vector of the user according to the similarity between the vectors, and recommends to the user through the user interface unit 300,
after the user confirms the recommendation, a dimming instruction is sent to the dimmable light bank 200 through the output module 140.
Wherein, the similarity of the characteristic membership value vector is calculated according to the following formula:
Figure BSA0000223050790000191
wherein ,
Figure BSA0000223050790000192
simi(u, v) is at the ithIn the dimension of the parameter categories, the characteristic similarity between a new living user u and a historical living user v in the database, wherein I is the set of categories such as age, j is the number of fuzzy variables in the fuzzy variable set of the ith parameter category, and muik(ui)、μik(vi) The parameter values for users u, v in the ith category correspond to the membership values of the kth fuzzy variables in this category, k being 1, 2.
Example 4
The embodiment provides a one-key scene lighting type hotel personalized intelligent lighting method based on user identity automatic identification, and as shown in fig. 1, fig. 2 and fig. 6, a plurality of scene mode keys corresponding to guest room lighting application scenes such as guest meeting, reading, working, television and the like are arranged on an operation panel, so that one-key scene lighting is realized.
On the basis of the embodiment 1, the hotel personalized intelligent lighting method based on the automatic identification of the user identity further comprises the following steps:
a plurality of scene mode keys are provided on an operation panel in the user interface unit,
in the debugging stage, after a user presses a scene mode key, the brightness and the color temperature of each lamp in the customer service under the mode are modulated, the formed lamp modulation vectors are supplemented with the mode marks, the illumination recommending module compares the same vectors of the mode marks when comparing the lamp modulation vectors, the mode marks are also supplemented in the final lamp modulation vectors which are estimated and confirmed by the user,
in the application stage, a user presses a scene mode key, and the host unit sends a dimming instruction to the dimmable lamp group through the output module based on the final lamp modulation vector confirmed by the user in the corresponding mode, so that all lamps in the guest room are synchronously switched to the confirmed brightness and color temperature, and one-key scene lighting is realized.
Preferably, the lamp modulation vectors are displayed in a list on a display screen 310 in the user interface unit 300.
Preferably, the operation panel 320 and the display screen 310 may be combined into one touch screen.
While the embodiments of the present invention have been described above, these embodiments are presented as examples and do not limit the scope of the invention. These embodiments may be implemented in other various ways, and various omissions, substitutions, and changes may be made without departing from the spirit of the invention. These embodiments and modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalent scope thereof.

Claims (8)

1. The hotel personalized intelligent lighting system based on the automatic identification of the user identity comprises a light color adjustable lamp bank with adjustable brightness and color temperature, a user interface unit used for parameter input and dimming operation, a server and a host unit respectively connected with the lamp bank, the user interface unit and the server,
the user interface unit is provided with an operation panel, a display screen and a user identity identification module,
the host unit comprises an input module, an identity authentication module, a user characteristic analysis module, a user modulation analysis module, a lighting recommendation module, an output module and a storage module, and is configured to:
based on the user identification characteristic information collected by the user identification module, the identity authentication module judges whether the user is a legal user or not according to the comparison between the information and the pre-stored data in the server database and identifies the user identity,
the legal user inputs the registration information such as personal characteristic parameters of the user from the user interface unit, and simultaneously can input the dimming instruction for modulating the color temperature and the brightness of the dimmable lamp set in the hotel guest room, the information and the instruction are transmitted to the host unit through the input module and are transferred to the database of the external server by the host unit,
the personal characteristic parameters of the user comprise the categories of age, gender, area, occupation, favorite color temperature, favorite brightness, number of people living in, travel purpose and the like,
the user characteristic analysis module processes and analyzes personal characteristic data of a user according to categories, firstly, a fuzzy variable set is established for each category in the domain range of the category, and a membership function is established for each fuzzy variable in the set; then, calculating the membership degree value of each fuzzy variable corresponding to each category of each data in the personal characteristic data of the user according to the membership degree function, and arranging all the membership degree values into a characteristic membership degree value vector in sequence; then, the characteristic membership value vectors are respectively stored in a storage module and a server database,
the user modulation analysis module processes the dimming signals of the lamps in the corresponding dimmable lamp group in the dimming instruction input by the user through the user interface unit to obtain corresponding modulation values, arranges the modulation values into a lamp modulation vector in sequence and then respectively stores the lamp modulation vector in the storage module and the server database,
the illumination recommending module compares the characteristic membership value vector and the lamp modulation vector of the user with other historical living user data in the server database, speculates the final lamp modulation vector of the user according to the similarity between the vectors, and recommends the final lamp modulation vector to the user through the user interface unit,
and after the user confirms the recommendation, sending a dimming instruction to the dimmable lamp bank through the output module.
2. The hotel personalized intelligent lighting system based on automatic user identity recognition of claim 1, wherein the similarity of the characteristic membership value vector is calculated according to the following formula:
Figure FSA0000223050780000011
wherein ,
Figure FSA0000223050780000021
simi(u, v) is the characteristic similarity of the new user u and the historical user v in the database in the ith parameter category dimension, and I is the stationThe age class set, j is the number of fuzzy variables in the fuzzy variable set of the ith parameter class, muik(ui)、μik(vi) The parameter values of users u and v in the ith category respectively correspond to the membership value of the kth fuzzy variable in the category, wherein k is 1, 2.
And when a new check-in user u checks in the hotel for the first time and registers through the user interface unit, the illumination recommendation module compares the characteristic membership value vector of the user with characteristic membership value vectors of other historical check-in users v in the database according to the user registration information, and calculates the similarity between the two vectors.
3. The hotel personalized intelligent lighting system based on automatic user identity recognition of claim 1, wherein the lamp set is composed of a plurality of dimmable LED lamps and is arranged on the ceiling of the hotel, the drivers of the LED lamps are connected with the host unit through the communication interface, the host unit changes the driving current of each driving channel in the LED lamps through the drivers according to the instructions sent by the user interface unit to realize the modulation of the brightness and the color temperature of the LED lamps,
the modulation value is the PWM wave duty ratio value of the driving current of each driving channel,
the user interface unit can be connected with the host unit through a wireless route in the guest room, and meanwhile, the host unit is connected with the LED lamp group with adjustable light color and the server in a wired connection mode.
4. The hotel personalized intelligent lighting system based on automatic user identity recognition as claimed in claim 1, wherein when the check-in user registers in the front desk, the necessary identity information registered by the check-in user, including identification number, room number, etc., is stored in the database and transmitted to the host unit in the room where the user is checked in by the database,
the user interface unit is provided with three interfaces, namely a login interface, a registration interface and a lamp modulation interface, after identity authentication is carried out on the login interface by a check-in user, the user enters a subsequent interface by the identified user identity,
the legal user can send information to the host unit through the registration interface and the lamp modulation interface, thereby perfecting the personal characteristic parameters of the user and the modulation operation of switching on and off the lamp in the guest room and the brightness and the color temperature.
5. The hotel personalized intelligent lighting system based on automatic identification of user identity as claimed in claim 1, wherein a plurality of scene mode keys are provided on the operation panel,
in the debugging stage: after a user presses a scene mode key, the brightness and the color temperature of each lamp in the customer service under the mode are modulated, the mode mark is supplemented in the formed lamp modulation vector, when the illumination recommendation module compares the lamp modulation vectors, only the vectors with the same mode mark are compared, and the mode mark is also supplemented in the estimated and the final lamp modulation vector confirmed by the user,
in the application stage: by pressing a scene mode key, the host unit sends a dimming instruction to the dimmable light set through the output module based on the final light modulation vector confirmed by the user in the corresponding mode.
6. The hotel personalization smart lighting system based on automatic identification of a user identity as recited in claim 1, wherein the host unit is further configured to:
for the non-first-time living user, when the living user u modulates the color temperature and the brightness of the lamp through the user interface unit, the modulation information of the user u is recorded, and meanwhile, the illumination recommending module establishes a lamp modulation vector [ X ] according to the modulation value of the user uu，Yu]：
Figure FSA0000223050780000031
wherein ,XuThe brightness modulation values of the user u to partial lamps in the adjustable light set in the guest room, such as m lamps, are represented, and the corresponding values are x1To xm，YuFor indicatingThe color temperature modulation values of the room u to the m lamps in the guest room are respectively y1To ym，
Then, based on the lamp modulation vector, comparing the lamp modulation vector with the lamp modulation vectors of the historical living users stored in the database, and calculating the vector similarity one by one:
sim(u，v)＝α·simx+(1-α)·simy
Figure FSA0000223050780000032
wherein m represents the number of lamps modulated by living users together, xi，u、yi，u、xi，v、yi，vRespectively representing the brightness and color temperature modulation values of the lamp by the checked-in users u and v,
Figure FSA0000223050780000033
respectively, represent the average value of the corresponding modulation values,
Figure FSA0000223050780000034
for the arithmetic mean of the brightness modulation values of the m modulated lamps for the user u,
simx(u，v)、simyand (u, v) and sim (u, v) respectively represent the brightness similarity, the color temperature similarity and the overall vector similarity of u and v, the overall similarity is the weighted sum of the brightness similarity and the color temperature similarity, and alpha is the weight of the brightness similarity.
7. The hotel personalization smart lighting system based on automatic identification of a user identity as recited in claim 1, wherein the host unit is further configured to:
after vector similarity calculation is finished, K historical checked-in users with the highest similarity are taken as the neighbors of u to form a neighbor set of u, and then the recommended brightness modulation value x 'of the lamp i in the guest room of the checked-in user u is estimated according to the historical modulation information of the checked-in users in the neighbor set'u，iAnd color temperature modulation valuey′u，i：
Figure FSA0000223050780000041
Wherein, i is 1, 2,. and n;
the output module modulates the brightness to a value x'u，iAnd color temperature modulation value y'u，iAnd the modulation data is sent to the user interface unit, and the confirmed modulation data returned by the user interface unit is stored in a database and is sent to a driver of the lamp group through the output module.
8. The hotel personalization smart lighting system based on automatic identification of a user identity as recited in claim 1, wherein the host unit is further configured to:
when a new user u enters the residence for the first time and is registered through a user interface unit, classifying the user u by adopting a fuzzy classification method according to user registration information, and calculating the classification:
F＝S+N+Y+D
wherein S is the gender of the check-in user, such as male 0 for female 1; n is the number of people living in, and generally takes values of 1, 2, 3 and the like; y is the age of the user living in, and the decimal place obtained by subtracting 20 from the actual age value is cut off to be 0 to 4; d is for travel purpose, the numerical values of D are from 0 to 6, the D respectively correspond to business, tourism, reception, leisure, meeting, office and long lease, and the users obtaining the same classification value score F are classified into the same category;
after the user enters the guest room, the lighting recommendation module compares the F value with F values of other historical living users in an external database, combines the same category users with the same value into a neighbor set of the user, calculates the average of the final lamp modulation vector of the user according to the modulation values of the users in the neighbor set, takes the average as a speculative value and combines the speculative value into a modulation vector, and then recommends the modulation vector to the user through a user interface unit.
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