CN111025932A - Multi-house scene sharing method and system based on edge calculation - Google Patents
Multi-house scene sharing method and system based on edge calculation Download PDFInfo
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Abstract
The application discloses a multi-house scene sharing system based on edge computing, wherein an individual data generating module collects control data of a user on house facilities, house individual management data reflecting life preference of the user is generated according to the control data, an individual data sending module is connected with an intelligent central control system of a current house and sends the house individual management data to the intelligent central control system, a function data generating module of the intelligent central control system generates an intelligent function instruction adaptive to life preference of the user according to the house individual management data and facility scene parameters of the current house, and a house facility control module of the intelligent central control system controls the intelligent facilities of the current house according to the intelligent function instruction. The system can automatically control each household facility to change the residential environment into the situation of preference of the residential living habits of the user, realize intelligent multi-residential situation sharing, and avoid the user from carrying out complicated setting on the facilities of a new residence.
Description
Technical Field
The application relates to the technical field of intelligent house control, in particular to a multi-house scene sharing method and system based on edge calculation.
Background
With the development of society and the improvement of living standard, people often live alternately among a plurality of own residences or rented residences instead of being fixed in a residence for a long time. For example, people with high income level may buy houses in different cities, spend at different houses on weekdays and weekends, avoid summer heat or cold in houses in other provinces and cities during holidays, and live in houses in different cities for a period of time in a year; as another example, urban residents often move to different residences for renting as work units, schools, etc. change to accommodate the need to switch between work and child school.
The intelligent house adopts heating, lighting, air conditioning, curtain, physical training, video and audio entertainment and other facilities which support intelligent functions in the house, and mainly carries out overall coordination and control on the intelligent facilities of the types through intelligent central control. The smart phone can use the intelligent central control as a relay center to issue remote control instructions to various intelligent facilities of the house, so that the smart phone has the functions of a universal controller, such as adjusting heating temperature, adjusting air conditioner temperature and air speed, adjusting illumination intensity, opening or closing curtains and the like.
At present, for a user who alternately lives in different residences, every time the residence is changed, each facility in the residence needs to be set again, so that the life of the user in a new residence can meet the requirement of the user on the living preference, and the user needs to reconfigure the parameters of the facility, so that the workload of the user is increased, and the satisfaction degree of the user is reduced.
Disclosure of Invention
Object of the application
Based on the above, in order to enable a user to realize seamless connection of life among multiple residences, and enable the user to generate a residence scene which accords with the preference of the living habits of the user in a new residence without spending much time on debugging intelligent facilities in the new residence.
(II) technical scheme
In one aspect, a multi-dwelling scene sharing system based on edge computing is provided, including:
the personalized data generation module is used for collecting control data of a user on residential facilities and generating residential personalized management data reflecting life preference of the user according to the control data;
the individual data sending module is used for establishing connection with the intelligent central control system of the current house and sending house individual management data to the intelligent central control system;
the function data generation module of the intelligent central control system is used for generating an intelligent function instruction which is suitable for the living preference of a user according to the house personalized management data and the facility scene parameters of the current house;
and the residential facility control module of the intelligent central control system is used for controlling the intelligent facilities of the current residence according to the intelligent function instruction.
In one possible embodiment, the personalized data generating module is further used for receiving user personalized use data generated by the direct control of the intelligent facility by the user from the intelligent facility in the house; and the number of the first and second electrodes,
the personalized data generation module also generates the house personalized management data according to the user personalized use data.
In one possible embodiment, when a plurality of users transmit the house personalized management data to the intelligent central control system of the current house during the residence, the house facility control module controls the intelligent facilities of the current house according to the preset control priority for the pre-divided house area or facility category.
In a possible implementation manner, the personality data generation module determines the time length for which the life preference of the user is kept stable according to the control data, and classifies the control data set with the time length exceeding the set time length according to the time and/or the geographic position so as to generate house personalized management data reflecting the life preference of the user at different times and/or geographic positions.
In one possible embodiment, the system further comprises:
and the facility operation prompting module is used for detecting whether the intelligent facility is operated by the user to accept the step of the intelligent function instruction and sending a prompt to a designated person when the user does not perform corresponding operation of accepting the intelligent function instruction within the set time.
In another aspect, a method for sharing multiple residential scenes based on edge calculation is further provided, including:
collecting control data of a user on residential facilities, and generating residential personalized management data reflecting living preferences of the user according to the control data;
establishing connection with the intelligent central control system of the current house, and sending house personalized management data to the intelligent central control system of the current house;
the intelligent central control system generates an intelligent function instruction which is adapted to the living preference of the user according to the house personalized management data and the facility scene parameters of the current house;
and controlling the intelligent facilities of the current house according to the intelligent function instruction.
In one possible embodiment, the method further comprises:
receiving user-personalized usage data from an intelligent facility in a home that is generated by a user's direct control of the intelligent facility; and the number of the first and second electrodes,
and generating the house personalized management data according to the user personalized use data.
In one possible embodiment, the method further comprises:
when a plurality of users send the individual house personalized management data to the intelligent central control system of the current house during the residence, the pre-divided house areas or house equipment are controlled respectively according to the set control priority.
In a possible implementation manner, the generating of the house personalized management data reflecting the life preference of the user according to the control data is specifically:
and determining the time length of the life preference of the user for keeping stable according to the control data, and classifying the control data set with the time length exceeding the set time length according to the time and/or the geographic position so as to generate house personalized management data reflecting the life preference of the user at different times and/or geographic positions.
In one possible embodiment, the method further comprises:
detecting whether the intelligent facility is operated by the user to accept the intelligent function instruction, and sending a prompt to a designated person when the user does not perform corresponding operation of accepting the intelligent function instruction within the set time.
(III) advantageous effects
The multi-house scene sharing system and the method have the advantages that when the user terminal equipment is used for sending data for controlling household facilities to the intelligent central control system of the smart house, the data are collected and processed, the determination of the house living habit preference of the user is achieved, the data are recorded as user personalized management data, and the user personalized management data are sent to the intelligent central control system of the house after the user lives in another smart house, so that after the intelligent central control system analyzes the management data, the household facilities can be automatically controlled, the house environment is changed into the scene of the house living habit preference of the user, the intelligent multi-house scene sharing is achieved, and the situation that the user conducts complicated setting on the facilities of a new house is avoided.
Drawings
The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining and illustrating the present application and should not be construed as limiting the scope of the present application.
FIG. 1 is a block diagram of one embodiment of a multi-dwelling scene sharing system as disclosed herein.
Fig. 2 is a flow chart of one embodiment of the multi-home scenario sharing method disclosed in the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application.
An embodiment of the edge computing based multi-dwelling scene sharing system disclosed in the present application is described in detail below with reference to fig. 1. As shown in fig. 1, the system disclosed in this embodiment mainly includes: the intelligent central control system comprises an individual data generating module, an individual data sending module, a functional data generating module of the intelligent central control system and a residential facility control module.
The personalized data generation module is used for collecting control data of the user on the residential facilities and generating residential personalized management data reflecting life preference of the user according to the control data.
The personality data generating module may be built in the user terminal device, for example, in a smart phone of the user. In the following, a smart phone is taken as an example to represent a user terminal device. For users who own a plurality of different smart residences and live in the smart residences in a renting mode or the like, the users can control the intelligent central control system through the smart phone to perform functional regulation and control on residential facilities, such as heating facilities such as an air conditioner and the like, lighting facilities such as lamps and lanterns and the like, entertainment facilities such as a home theater and the like, security facilities such as an entrance guard and the like, and more specific residential environment regulation such as regulation of the temperature of the heating facilities, regulation of the illumination of the lighting facilities, regulation of the volume of the entertainment facilities, regulation of the security level of the security facilities and the like.
Specifically, the intelligent central control system can be in communication connection with each intelligent facility through a wireless local area network (such as WIFI covering a house), can also be accessed to a cloud server through a wide area network, uploads house intelligent function instructions to the cloud server for storage and analysis, receives control instructions from the cloud server, and forwards the control instructions to the intelligent facilities for execution, so that intelligent control over the intelligent facilities in the intelligent house is achieved.
In the process of adjusting the residential environment by the user, the control device for sending the control signal to the residential facility to realize residential environment adjustment can record or acquire the content of the control signal and the control data such as the time for sending the control signal, and the like, so that the control data of the residential facility can be acquired by the individual data generation module. For example, if the control device is a residential intelligent central control system, the intelligent central control system feeds control data such as the content and time of a control signal sent by the intelligent central control system back to the smart phone (the personalized data generation module), and the personalized data generation module collects the control data of residential facilities.
After the individual data generation module collects control data for a period of time, a certain amount of sample control data exist, and the rules according with the daily living habits and living preferences of the user can be obtained by counting and analyzing the sample control data, namely, the house individual management data is generated. The control data is only data for a specific residential facility, and the same control data may not work equally well for residential facilities of the same type but of different performance. However, the living habits and preferences of the users are fixed, that is, the actual actions and influences of the residential facilities of different residences on the users are about the same after the residential facilities are operated and implemented. Thus, home personalization management data refers to the functional role generated by a facility that is perceived by a user and preferred by the user.
Specifically, for example, a user resides in the residence a in a period of summer, the inverter air conditioner is turned on at 11 am and 26 degrees of outlet air are set every day, the inverter lamp is turned on at 5 pm and the illumination level is set to be middle, the air conditioner and the lamp are turned off at 10 pm and 30 pm, and then the user sleeps. The function of the inverter air conditioner is to adjust the room temperature to about 26 degrees so that the user feels about 26 degrees, and the function of the inverter lamp is to adjust the indoor illumination to about 300 lux for example so that the inverter lamp is suitable for the user to read books. For the life of the user only involving partial lighting and temperature control, the personalized data generation module can acquire control data indicated by the user on residential facilities, and statistically analyze the control data to obtain the setting of the on-off time and temperature of the air conditioner and the setting of the on-off time and illumination of the lamp in the life habits preferred by the user, so as to generate residential personalized management data reflecting the life preferences of the user. The management data includes control information capable of instructing each residential facility to operate in conformity with the living habit conditions of the user, and in the case of the above case, the residential personalized management data includes an indoor environment temperature of about 26 degrees and an indoor environment illuminance of about 300 lux in a corresponding time period.
The personalized data sending module is used for establishing connection with the intelligent central control system of the current house and sending house personalized management data generated by the personalized data generating module to the intelligent central control system.
The individual data sending module can also be arranged in a smart phone of a user, and is connected with an intelligent central control system of the smart house through any means such as Bluetooth communication, WIFI communication, networking communication and NFC communication. When a user lives in one house, in order to realize control of the smart house, the personalized data sending module of the user smart phone firstly establishes communication connection with the intelligent central control system of the current house, and then sends personalized management data generated according to the previous living habits of the user to the intelligent central control system. After receiving the personalized management data, the intelligent central control system can control proper residential facilities at proper time according to the control information contained in the intelligent central control system, so that when a user switches among multiple residences, each residential facility can operate according to the living habits of the user.
The user's life preference may be different for different time periods (e.g., different seasons), and thus the house-customized management data may be changed according to the time period of the year, and thus when the user's smart phone transmits the management data to the house, the management data corresponding to the current time is transmitted.
And the function data generating module of the intelligent central control system is used for generating an intelligent function instruction which is suitable for the living habit preference of the user according to the house personalized management data sent by the personalized data sending module and the facility scene parameters of the current house.
Since the types and performance parameters of the residential facilities configured in different residences may be different, and the attributes of the residences, such as the areas and the house types, may also be different, the facility context parameters of different residences may also be different. For example, in the foregoing example, the user resides in the house a during a period of summer, and when the user resides in the house B during the summer of the second year, since the intelligent central control system B records the facility context parameters of the house B, including the larger usage area of the house B compared to the house a, and the number, installation location, and performance parameters of the air conditioners and the light fixtures are different, after the smart phone of the user sends the house personalized management data to the intelligent central control system B of the house B, the intelligent central control system B reads the user life preference of the indoor environment temperature of 26 degrees and the indoor environment illumination of 300 lux during the corresponding period, and simultaneously issues the control command capable of matching with the air conditioners and the light fixtures to the air conditioners and the light fixtures of the house B in combination with the larger usage area of the house B and the difference in the number, location, and performance parameters of the air conditioners and the light fixtures, the control command may be different from the control command issued by the intelligent central control system a of the house a to the air conditioner and the lighting of the house a due to the difference between the house a and the house B.
Specifically, the intelligent central control system B records facility scene parameters of the house B, such as the use area of air-conditioned rooms, such as a living room and a bedroom of the house B, the maximum power and the air output of an air conditioner, the maximum power of a lamp and the large-area French window of each room, because the use area is large and the maximum air output of the air conditioner is insufficient, the intelligent central control system B may need to set the air conditioner to be 25 degrees or even lower to achieve the setting of the ambient temperature to be 26 degrees, the indoor temperature rise caused by sunlight injected from the French window in a time period with strong sunshine is counteracted, the indoor body sensing temperature of 26 degrees is maintained, the temperature control instruction issued by the intelligent central control system B and the temperature control instruction issued by the intelligent central control system A are different due to different residential facility situation parameters, and the temperature control instruction is an intelligent function instruction which is adapted to the preference of living habits of users.
In terms of indoor illumination, because the natural light of the house B is still sufficient at 5 pm, the intelligent central control system B can issue an illumination instruction to the lamps to turn on the lamps after the natural light illumination is insufficient after a period of time, gradually increase the power of the lamps and turn on more lamps along with the gradual disappearance of the natural light, and keep the sum of the illumination of the natural light and the illumination of the lamp light to be about 300 lux in the process. At the moment, the illumination instruction issued by the intelligent central control system B and the illumination instruction issued by the intelligent central control system A are different due to different residential facility scene parameters, and the illumination instruction is an intelligent function instruction which is adapted to the living habit preference of the user.
In addition, for different geographic positions (such as a southern city and a northern city), the living preference of the user can be influenced, so that the intelligent central control system can comprehensively generate the intelligent function instruction by considering the environmental factors of the house such as no heating in winter in the southern city, more humid air and the like.
The house facility control module of the intelligent central control system is used for controlling the intelligent facilities of the current house according to the intelligent function instruction,
the intelligent central control system issues the temperature control instruction, the illumination instruction and other instructions which are suitable for the living habit preference of the user so as to control the operation of each residential facility and create a proper residential environment for the user.
In the embodiment, when the user terminal device is used for sending data for controlling household facilities to the intelligent central control system of the smart house, the data is collected and processed, the determination of the house living habit preference of the user is realized, the data is recorded as the user personalized management data, and the user personalized management data is sent to the intelligent central control system of the house after the user lives in another smart house, so that after the intelligent central control system analyzes the management data, the intelligent central control system can automatically control the household facilities to change the house environment into the house living habit preference of the user, the intelligent multi-house scene sharing is realized, and the complicated setting of the facilities of a new house by the user is avoided.
In order to facilitate the control of the residential facilities in the new house which can be controlled by the intelligent central control system after the house is replaced by the user, in one embodiment, the personalized data generation module is also used for receiving the user personalized use data generated by the direct control of the intelligent facilities by the user from the intelligent facilities in the house. And the personalized data generation module also generates house personalized management data according to the user personalized use data.
The intelligent degree of different residences is different, so that a certain optimization space exists in the intelligent control of residential facilities, wherein the optimization space includes the situation that facilities which are not controlled by an intelligent central control system and a user smart phone exist in the residence A, and the similar facilities in the residence B can be controlled by the intelligent central control system. Taking home theater as an example, in this case, since the home theater in the residence a does not access the intelligent central control system, the smart phone of the user does not collect the preference of the user for using the home theater, and when the user lives in the residence B, the home theater in the residence B accessing the intelligent central control system cannot be controlled by the intelligent central control system to the preferred use state of the user because there is no data related to the home theater in the residence personalized management data.
Therefore, the home theater of the house A can be connected with the smart phone of the user, the using operation of the user is recorded when the user directly performs channel selection, volume adjustment, movie online watching and other operations, the personalized using data of the user is obtained, for example, the user manually switches to a central news simulcast through a remote controller at 7 o' clock every night, and the personalized using data of the user is sent to the personalized data generating module. The personalized data generation module carries out the same processing and analysis on the use data as the control data, so that the generated house personalized management data comprises the user use preference data of the facilities which are not connected with the intelligent central control system. When a user switches to a residence B connected with the home theater and the intelligent central control system to live, the functional data generation module can generate an intelligent functional instruction of the home theater, for example, the intelligent functional instruction is started when a television is turned off at 7 points every day and is automatically switched to a central station, so that the use of the home theater is in accordance with the habit preference of the user.
By directly acquiring the use data of the residential facilities which are not connected with the intelligent residential control system and controlling the residential facilities of the same type which are connected with the intelligent residential control system after a user lives in another intelligent residential, the residential environment further conforms to the living habit preference of the user and complicated setting of the facilities of a new residential by the user is further avoided.
In order to avoid the situation that the intelligent central control system cannot reasonably coordinate the control schemes of the facilities due to different living habits of a plurality of users, because a plurality of users possibly live in the same house at the same time, in one embodiment, when a plurality of users send respective house personalized management data to the intelligent central control system of the current house during the living period, the house facility control module controls the intelligent facilities of the current house according to the preset control priority by the pre-divided house area or facility type.
The control priority is the embodiment of the control right of the user to the residential facility, and the user with the highest priority has the control right of the residential facility, so the intelligent central control system can control the operation of the residential facility by using the residential personalized management data of the user with the highest priority. The control priorities include two types, one is a control priority for each residential facility, and the other is a control priority for residential facilities contained in each area of the house,
assuming that a couple of couples live in the house B and both have own living habits, when the couples live in the house B send the house personalized management data to the intelligent central control system of the house B, the control priorities of the couples can be set and sent to the intelligent central control system.
For the first control priority, users in the house can commonly assign the priority levels of the house facilities. For example, the priority of the male party on the home theater is higher than that of the female party, and the priority of the female party on the washing machine is higher than that of the male party, the intelligent central control system controls the home theater according to the living habits of the male party and controls the washing machine according to the living habits of the female party.
In the second control priority, each user in the house may divide the house into areas such as a living room, a bedroom, a study, and a kitchen in advance according to the spatial areas, and the priority levels of the house facilities in each area may be commonly assigned in units of areas. For example, a male may use a study more frequently, and a user of a facility such as a lamp or an air conditioner in the study is a male, so that the priority of the male with respect to the study may be set higher than that of the female, and a female may use a kitchen more frequently, and a user of a facility such as a water heater or an electric oven in the kitchen may be a female, so that the priority of the female with respect to the kitchen may be set higher than that of the male.
The user can also change the control priority at any time to increase the flexibility of scene sharing.
By controlling the scene sharing of multiple users by using the priority, the scene sharing among the multiple users can be coordinated to a certain degree, and the house can be ensured to meet the living habit preferences of all the users to a greater degree.
In order to enable residences in different times and geographical positions to always meet the living preferences of the users, in one embodiment, the personalized data generation module determines the time length for which the living preferences of the users are kept stable according to the control data, and classifies the control data sets with the time lengths exceeding the set time length according to the time and/or the geographical position to generate the residential personalized management data reflecting the living preferences of the users in different times and/or geographical positions.
The time and the geographical location may change the life preference of the user, for example, the user may control the air conditioner to cool in summer, the air conditioner may not be turned on in the northern area in winter, and the air conditioner may control the air conditioner to warm in the southern area in winter.
Therefore, a plurality of different use modes can be distinguished according to time and geographic positions, and after the residence is switched, the geographic position and residence time of the current residence are judged to select the corresponding use mode, so that the living habits of the user when the user lives in the residence at different geographic positions at different times are met. Specifically, in terms of time, the personalized data generation module collects user control data of a whole year, wherein in northern summer, if 40 days of continuous 60 days of the user have almost the same control time and temperature of the air conditioner, the fact that the time length kept by the preference of the user for temperature control exceeds the corresponding set time (30 days) indicates that the time length kept by the preference of the user for temperature control exceeds the corresponding set time, at this time, the control data of 40 days can be used as a control data set and classified into the use scene of northern summer, and the management data generated by using the control data set are management data in a northern summer use mode. Furthermore, the 40 days are working days, and in the remaining 20 days (all holidays), the air conditioner control time and temperature of the user are the same (but different from the working days), and the kept time length also exceeds the set duration (10 days) of the corresponding holidays, so that the control data of the 20 days can be used as a control data set to be classified into the use situation of the holidays in the northern summer.
After the user switches to the current house, the management data of all different use scenes are sent to the intelligent central control system, the intelligent central control system can judge the current use scene (namely the use mode) according to the geographic position of the current house and the time of the day, and then the house facility operation is controlled according to the specific use mode.
The control data of different time and different geographic positions are classified, so that the living preferences of the user under different scenes are determined, and which use scene should be applied is judged according to the geographic position and the time of the current residence of the user, so that the user preferences are expanded and diversified, and the scene sharing experience of the user is more truly met.
When the intelligent central control system controls the residential facility to execute corresponding functions, some functions can be completed only by the cooperation of users, for example, the users are used to wash clothes at 10 am every saturday, and the intelligent central control system controls the washing machine to automatically add water at corresponding time and then the users can start to wash the clothes. In order to enable the residential facility which needs to be matched by the user to correctly execute the functions of the residential facility without wasting resources, in one embodiment, the system further comprises a facility operation prompting module, wherein the facility operation prompting module is used for detecting whether the intelligent facility is operated by the user to receive the intelligent function instruction, and sending a prompt to a designated person when the user does not perform corresponding operation of receiving the intelligent function instruction within the set time.
The facility operation prompting module can be arranged in the washing machine, if the facility operation prompting module detects that the user does not put clothes to be washed into the washing machine until 10 o' clock 30 after the washing machine finishes adding water at 10 am, the facility operation prompting module can prompt the user in modes of voice prompt, information sending to a smart phone of the user and the like, and the user is prevented from forgetting.
The designated person may be another user. For example, the user a is an elderly person with a disease, and the living environment in the house is adapted to the user a. User a needs to take medicine at 13 pm a day, so the water dispenser is set to automatically heat up at 12 pm for 50 minutes a day and automatically tap out a cup of hot water at 13 pm to wait for user a to take the medicine. At the moment, the facility operation prompting module can comprise a pressure sensor arranged in a hot water area automatically connected out of the water dispenser, and if the hot water is taken away, the pressure sensor feeds back a corresponding signal to indicate that the user A takes the medicine normally; if the pressure sensor does not feed back a signal within a set time, for example, at 13 o' clock and 30 min, it indicates that the user a is not taking medicine normally, and at this time, a voice prompt may be directly sent to the user a, or a prompt may be sent to a smart phone of a child user B of the user a, so that the user B contacts the user a or checks whether the user a is suffering from a disease or has an accident by monitoring. The designated person may be the guardian of user a, user B, as well as when user a is a child.
It can be understood that, for the functions that can be completed without the cooperation of the user, for example, the air conditioner can send out the wind with the set temperature at the set time according to the instruction of the intelligent central control system to realize the temperature control function, but if the user a leaves the room and causes no person in the room, the judgment can be also carried out through a facility operation prompting module which is arranged in the room and used for detecting whether the room has a person, and if the room has no person for more than 30 minutes, the facility operation prompting module can send a prompt to the user a and inquire whether the user a needs to close the air conditioner, so as to save the electricity. Therefore, whether user cooperation is needed or not, all facilities can be captured by the facility operation prompting module and prompt the user at a proper time under the condition that the functions are not completed or no audience exists after the functions are completed.
After the residential facility is controlled, whether the user normally obeys the operation of the life preference of the user is judged by monitoring the use of the facility, and if the user does not obey the operation of the life preference of the user, the user is prompted, so that the user is prevented from forgetting.
An embodiment of the multi-home scenario sharing method disclosed in the present application is described in detail below with reference to fig. 2. The present embodiment is used to implement the aforementioned multi-dwelling scene sharing system. As shown in fig. 2, the method disclosed in this embodiment includes the following steps:
step 100, collecting control data of a user on residential facilities, and generating residential personalized management data reflecting living preferences of the user according to the control data;
200, establishing connection with an intelligent central control system of the current house, and sending house personalized management data to the intelligent central control system of the current house;
and 400, controlling the intelligent facilities of the current house according to the intelligent function instruction.
In one embodiment, the method further comprises: receiving user-personalized usage data from an intelligent facility in a home that is generated by a user's direct control of the intelligent facility; and, also according to the personalized use data of users, produce the personalized management data of the house.
In one embodiment, the method further comprises: when a plurality of users send respective house personalized management data to the intelligent central control system of the current house during the residence, the pre-divided house areas or house equipment are respectively controlled according to the set control priority.
In one embodiment, the generating of the house personalized management data reflecting the life preference of the user according to the control data is specifically: and determining the time length of the life preference of the user for keeping stable according to the control data, and classifying the control data set with the time length exceeding the set time length according to the time and/or the geographic position so as to generate house personalized management data reflecting the life preference of the user at different times and/or geographic positions.
In one embodiment, the method further comprises: detecting whether the intelligent facility is operated by the user to accept the intelligent function instruction, and sending a prompt to a designated person when the user does not perform corresponding operation of accepting the intelligent function instruction within the set time.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A multi-dwelling scene sharing system based on edge computing, comprising:
the personalized data generation module is used for collecting control data of a user on residential facilities and generating residential personalized management data reflecting life preference of the user according to the control data;
the individual data sending module is used for establishing connection with the intelligent central control system of the current house and sending house individual management data to the intelligent central control system;
the function data generation module of the intelligent central control system is used for generating an intelligent function instruction which is suitable for the living preference of a user according to the house personalized management data and the facility scene parameters of the current house;
and the residential facility control module of the intelligent central control system is used for controlling the intelligent facilities of the current residence according to the intelligent function instruction.
2. The system of claim 1, wherein the personality data generation module is further for receiving user-personalized usage data from the intelligent appliances in the home resulting from the user's direct control of the intelligent appliances; and the number of the first and second electrodes,
the personalized data generation module also generates the house personalized management data according to the user personalized use data.
3. The system as claimed in claim 1, wherein when a plurality of users transmit their own house-specific management data to the intelligent central control system of the current house during their residence, the house facility control module controls the intelligent facility of the current house in accordance with the previously divided house areas or facility categories according to the set control priority.
4. The system of claim 1, wherein the personality data generation module determines a length of time that the user's life preferences remain stable based on the control data, and categorizes the control data sets having a length of time that exceeds a set length of time by time and/or geographic location to generate home personalization management data reflecting the user's life preferences at different times and/or geographic locations.
5. The system of claim 1, further comprising:
and the facility operation prompting module is used for detecting whether the intelligent facility is operated by the user to accept the step of the intelligent function instruction and sending a prompt to a designated person when the user does not perform corresponding operation of accepting the intelligent function instruction within the set time.
6. A method for sharing multiple home scenarios based on edge computing, comprising:
collecting control data of a user on residential facilities, and generating residential personalized management data reflecting living preferences of the user according to the control data;
establishing connection with the intelligent central control system of the current house, and sending house personalized management data to the intelligent central control system of the current house;
the intelligent central control system generates an intelligent function instruction which is adapted to the living preference of the user according to the house personalized management data and the facility scene parameters of the current house;
and controlling the intelligent facilities of the current house according to the intelligent function instruction.
7. The method of claim 6, further comprising:
receiving user-personalized usage data from an intelligent facility in a home that is generated by a user's direct control of the intelligent facility; and the number of the first and second electrodes,
and generating the house personalized management data according to the user personalized use data.
8. The method of claim 6, further comprising:
when a plurality of users send the individual house personalized management data to the intelligent central control system of the current house during the residence, the pre-divided house areas or house equipment are controlled respectively according to the set control priority.
9. The method according to claim 6, wherein the generating of home personalization management data reflecting the preferences of the user's life from the control data is embodied as:
and determining the time length of the life preference of the user for keeping stable according to the control data, and classifying the control data set with the time length exceeding the set time length according to the time and/or the geographic position so as to generate house personalized management data reflecting the life preference of the user at different times and/or geographic positions.
10. The method of claim 6, further comprising:
detecting whether the intelligent facility is operated by the user to accept the intelligent function instruction, and sending a prompt to a designated person when the user does not perform corresponding operation of accepting the intelligent function instruction within the set time.
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