CN115032910A - AI prediction-based multi-dimensional recommendation system and recommendation method - Google Patents
AI prediction-based multi-dimensional recommendation system and recommendation method Download PDFInfo
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Abstract
The invention discloses a multi-dimensional recommendation system and a recommendation method based on AI prediction, which comprises an AI processor module (1), an interactive control module (2), a data storage module (3) and a reminding and alarming module (4), wherein: the AI processor module (1) is respectively in data communication connection with the interaction control module (2), the data storage module (3) and the reminding and alarming module (4); interaction control module (2) are connected with user information input module (5), (window) curtain switching system (6), air conditioner control module (7), light control module (8), hot water supply module (9) and data acquisition module (10), realize control access user information input module (5), (window) curtain switching system (6), air conditioner control module (7), light control module (8) and hot water supply module (9), and receive the data that data acquisition module (10) gathered. The invention realizes the real intelligent home control and home idea, automatically learns the living habits of the residents, and automatically controls the light, the curtain, the temperature and the like, thereby realizing the automatic light, the curtain and the temperature under the condition that the user does not intervene, and providing comfort, intelligence and safety for the user.
Description
Technical Field
The invention relates to the technical field of intelligent family health, in particular to a multi-dimensional recommendation system and a recommendation method based on AI prediction.
Background
Along with the improvement of living standard, people are more and more vigorous to the intelligent living demand and also more and more enjoy the intelligent living, however, at present, in the intelligent equipment, such as in the intelligent home, the intelligent equipment and the home are formerly said, and not just the equipment capable of realizing simple remote control, but the user mainly realizes remote control through the APP, so as to control in the home in advance, so that the living is more comfortable, or the curtain and the window are controlled by using the sensor, but obviously the intelligent home is not real, people hope to have a way of understanding themselves and body-shirt themselves and caring their home, but in the prior art, the above means is absent. In order to obtain intelligent home furnishing, a multi-dimensional technology is expected to be provided, but the intelligent technology has the following technical defects, so that the intelligent home furnishing technology cannot be effectively applied;
the patent application CN10677227A discloses a cloud platform-based multidimensional data fusion analysis system and method, which comprises a data source layer, an access transmission layer, a data sharing exchange center and a big data fusion analysis platform, wherein the data sharing exchange center comprises an extraction module, a conversion module and a cleaning module of data, the extraction module is used for fusing various data resources and uniformly synchronizing the data to the system data center, the cleaning module is used for processing various data according to a uniform metadata specification, the conversion module is used for uniformly converting formats of the data processed by the cleaning module in a standardized manner, and the big data fusion analysis platform comprises an index construction module, an analysis mining module and a control and early warning module. The invention can intelligently and deeply mine according to the analysis model, integrate multi-dimensional information across platforms to form a valuable information chain, realize information sharing and seamless connection among different service systems, and effectively solve the problems of data islands and system islands.
CN10177144A discloses a wireless mobile warehousing service management system, which includes a service management terminal, a warehouse operation terminal and a remote query terminal; the automatic association and accurate online management of multidimensional information such as 'article, space, operation, time' and the like of the warehousing business are realized; the system supports full flow cooperativity from warehouse or storage yard field operation, local and remote multi-warehouse unified real-time accurate management, real-time service audit and the like, and consistency of logistics information flow, ensures integrity and confidentiality of system data, provides a centralized management and warehouse field operation cooperative work mechanism of the data and system and a real-time state query mechanism of logistics transportation customs clearance of customers at any time and any place, meets the informatization secondary requirement of the current logistics industry, and achieves the aim of the invention.
Patent application CN102890708A discloses an auxiliary support system for library interview decision, which comprises a data import module, a data warehouse, a metadata warehouse, an application service module, a front-end display module and a middleware module. The invention can lead in original collection resource information and use statistical information, uniformly store, organize and manage the information through a data warehouse technology, comprehensively analyze the information and provide multi-level, multi-dimensional and complete panoramic analysis information for users in a uniform and consistent mode. The method and the system solve the problem that the existing interview mode of the library of colleges and universities has larger subjectivity, can find the requirements of most users, adjust the existing resource structure, are reasonably distributed, provide auxiliary decision support for the construction of collected resources, and improve the utilization efficiency of expenses.
The patent CN104852989A discloses an intelligent agricultural monitoring system based on the internet of things, which includes a central processing unit, and the central processing unit is connected with an intelligent sensor, an intelligent regulation and control device, a real-time image and video monitoring device, a transmission device, an alarm system and a terminal; the central processing unit is connected with the intelligent sensor, the intelligent regulation and control device, the real-time image and video monitoring equipment, the transmission equipment, the alarm system and the terminal through a wireless network control system; the intelligent agricultural monitoring system is powered by solar power supply equipment. The Internet of things agricultural intelligent measurement and control system can greatly improve the production management efficiency, save labor, and conveniently provide strong scientific data theoretical support for various agricultural fields or research and the like, and the important function of the system is irrelevant to the current highly-automated and intelligent society.
Patent CN105160593A discloses a big data-oriented multi-dimensional heterogeneous data fusion method and system for power transmission and transformation equipment, which includes the following steps: s101, accessing multidimensional heterogeneous data for monitoring power failure and disasters; s102, preprocessing data; s103, mapping a model and a data structure; s104, customizing a professional data view; and S105, performing data fusion analysis. The invention follows the principle of flexible design and convenient expansion, realizes the unified sharing and use of various information resources by adopting modes of sharing a storage library, data service and the like, for example, satellite remote sensing, meteorological history and GIS data are shared by adopting a file mode, production management, state monitoring and lightning location data are shared by adopting a database mode, and effective management and full utilization of various special data are realized by taking evaluation source data as a starting point through three stages of data integration, data mining and analysis application.
Patent CN 105577748A discloses an environmental information collection method and system based on a group perception technology, wherein the method comprises the following steps: acquiring the position of a user; acquiring perception information of a user on a position through a group perception technology, wherein the perception information comprises conventional description information and special submission information; collecting environmental parameters detected in the position, wherein the environmental parameters comprise one or more of light intensity, temperature, humidity, CO2 concentration and noise; and obtaining multidimensional environment data according to the perception information and the environment parameters. The acquisition method provided by the embodiment of the invention can acquire the outdoor or non-environmental parameter information besides the indoor environmental parameters, improves the acquisition accuracy, ensures the participation enthusiasm of the user, and efficiently and accurately identifies and judges the behaviors of the user participating in sensing and the environment where the user is located, thereby ensuring the integrity and reliability of data.
Patent CN106408940A discloses a traffic detection device based on microwave and video data fusion, which comprises a video sensor, a microwave sensor, an a/D conversion module, a processor module, a network communication module, a traffic flow parameter data fusion module, a traffic flow management platform, a target tracking module, a traffic event and information management platform; a traffic detection method based on microwave and video data fusion is disclosed, which uses a device to realize information complementation and data fusion. The device can improve the reliability of the system, can give out accurate estimation on the target position, obtains more accurate data and provides powerful parameters for relevant departments; the invention provides a fusion method based on microwave and video data, wherein after a microwave sensor detects certain traffic behaviors recorded in a database, the video sensor is controlled to take a picture, and then whether the video sensor is matched with the database or not is analyzed to give an alarm, so that the false alarm rate is reduced, manpower and material resources are reduced, and intelligent detection is really realized.
Therefore, at present, the following defects which are hoped to be overcome exist in the aspects of intelligent home and intelligent multi-dimensional control;
1. in the prior art, although there are also home intelligent devices or smart homes, relatively simple smart behaviors such as closing or opening curtains and lamps, turning on an air conditioner in advance and the like are often only detected when a user enters, on the one hand, the smart behaviors are relatively shallow, the current state of the user is not obtained, as an actual situation, a common person has different ideas on temperature, brightness, curtain opening and closing and the like under different states, moods and body states, obviously, the existing smart homes cannot be achieved, and most people consider the smart homes to be not intelligent and practical, so that the smart homes are not installed.
2. In the prior art, the safety of houses, particularly the safety of residents, is always a matter of great concern to the existing personnel, and if the following personnel follow behind, the common safety identification technology cannot effectively provide safety services, particularly safety prevention and safety countermeasures.
3. In the prior art, people with different health usually need different daily habits and daily habits in order to maintain and maintain physical needs, and meet the daily habits and daily habits of people as much as possible under the condition of meeting the daily habits and daily habits of the health, but the prior art does not have the effective control means.
In the face of the above technical problems, people hope to provide a home system which is truly intelligent and multidimensional, and a propulsion system which meets the requirements of people, is comfortable and healthy is realized. However, the prior art has not provided an effective solution to the above technical problem.
Disclosure of Invention
The invention aims to provide a multi-dimensional recommendation system and a recommendation method based on AI prediction to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a multi-dimensional recommendation system and a recommendation method based on AI prediction comprise an AI processor module, an interaction control module, a data storage module and a reminding and alarming module, wherein: the AI processor module is respectively in data communication connection with the interaction control module, the data storage module and the reminding and alarming module;
the interactive control module is connected with a user information input module, a curtain opening and closing system, an air conditioner control module, a light control module, a hot water supply module and a data acquisition module, the user information input module, the curtain opening and closing system, the air conditioner control module, the light control module and the hot water supply module which are used for controlling access are connected, and data acquired by the data acquisition module are received;
the user information input module is used for inputting information of the standing user and life information and work and rest habits of the standing user, forming multi-dimensional data records corresponding to the user, the life information and the work and rest habits, and storing the data records in the data storage module; the curtain opening and closing system is used for controlling the opening and closing of curtains, and the air conditioner control module is used for controlling air conditioners arranged in all the rooms so as to control the temperature in all the rooms; the light control module is used for controlling the brightness and color of light in each room; the hot water supply module is used for controlling the water heater to work so as to supply hot water; the information acquisition module comprises an image monitoring module and a facial expression recognition module and is used for acquiring images and acquiring data; the image monitoring module comprises a first camera module arranged at a building doorway and a second camera module arranged in each room;
the data storage module is also used for storing the data and the control data acquired by the interaction control module and simultaneously storing the data records of the life information and the work and rest habits of the user; the reminding and alarming module is used for sending out a reminding or alarming function;
when the multi-dimensional recommendation system based on AI prediction operates, according to the use requirements of a building, a permanent user inputs permanent user information and life information and work and rest habits of the permanent user through the user information input module to form corresponding multi-dimensional data records of the user, the life information and the work and rest habits, and the permanent user can also temporarily input data for temporarily changing the life information and the work and rest habits;
after a person arrives at a gate, the video monitoring module arranged at the gate automatically shoots an image of the person, the AI processor module identifies and authenticates the image, and when the person is identified as a permanent user, a door is opened and the permanent user is allowed to enter;
meanwhile, the facial expression sensing module identifies the expression of the entering permanent user based on the image to obtain the emotion of the entering user, and sends the emotion of the user to the AI processor module;
the AI processor module reads the historical life information and the data record of the work and rest habits stored in the data storage module, learns the neural network based on the emotion of the standing user, acquires the presumed life and rest behaviors of the standing user under the current emotion, and controls the curtain opening and closing system, the air conditioner control module, the light control module and the hot water supply system based on the presumed life and rest behaviors, thereby controlling the opening and closing of the curtain, the indoor temperature, the color and the brightness of the light and the time for supplying hot water and providing automatic equipment control for the standing user; the reminding and alarming module is used for reminding the daily work and rest activities of the living user;
when the permanent user does not want to remind the current daily life and rest activities, the permanent user inputs a temporary change plan of the daily life information and the work and rest habits or a permanent change plan of the daily life information and the work and rest habits through the user information input module, the AI processor module performs neural network learning according to the input temporary change plan of the daily life information and the work and rest habits or the permanent change plan of the daily life information and the work and rest habits, so that new presumed daily life and rest behaviors are generated, and when the permanent change plan of the daily life information and the work and rest habits is input by the user, the data stored by the data storage module is modified to form new multidimensional data records of the daily life information and the work and rest habits of the user; meanwhile, the AI processor module acquires the acquired data and control data of each interactive control module, forms recommended daily life and rest behaviors through data calculation based on the acquired data and control data and multidimensional data records of user life information and work and rest habits stored in the data storage module, and reminds the user of the daily life and rest behaviors through the reminding and alarming module and automatically controls the corresponding curtain opening and closing system, the air conditioner control module, the light control module, the hot water supply module and the data acquisition module;
and when the interactive control module detects that the user or the room is in an abnormal condition, the reminding and alarming module gives an alarm.
Preferably, when the multi-dimensional recommendation system is used, the image information of the normally-living user is input through the user information input module, for the extraordinary living user, the information of the extraordinary living user is temporarily input through the user information input module, and the extraordinary living user is allowed to enter in a mode of allowing the extraordinary living user to temporarily enter the permission authentication; or the standing user actively opens the door to allow access, or the standing user enters along with the standing user; when the user who is very resident enters along with the user who is very resident, the AI processor module detects the distance between the user who is very resident and the user who is very resident on the basis of the image obtained by the first camera module, when the distance is larger than a certain value, the user who is very resident is considered to be a person who is not allowed to enter the building, when the user who is very resident continuously tries to enter, the reminding and alarming module gives an alarm, the user is reminded of paying attention to safety, meanwhile, the door is closed after the user who is very resident enters, and the alarm information is sent to a safety management department after the user who is very resident continuously breaks in; for very large residents, the admission authentication is valid only for the day.
Preferably, the AI processor module determines whether the very living user belongs to a person who is not allowed to enter based on the image acquired by the first camera module, when detecting a distance between the very living user and the common resident, and when the distance is smaller than the certain value, the facial expression sensing module identifies an expression of the very living user based on the acquired image, and sends the identified expression of the very living user to the AI processor module, and when the AI processor module determines that the expression of the very living user is abnormal, the door is quickly closed after the very living user enters, an alarm is given through the reminding and alarming module, and the alarm information is sent to the safety management department.
Preferably, when the AI processor module controls the curtain opening and closing system, the air conditioner control module, the light control module, the hot water supply system and the information acquisition module to work based on the presumed life and rest behaviors, the reminding and alarming module is used for forecasting the control command before the control command is sent, and if the user does not make an objection, the control command is sent to the corresponding interactive control module to further control the corresponding equipment.
Preferably, the interactive control module further acquires the weather data; acquiring real-time weather data including weather, air temperature, air pressure and air quality parameters through the Internet; when the AI processor module generates the presumed life and rest behaviors, the AI processor module also corrects the presumed life and rest behaviors based on the weather data.
Preferably, when the AI processor module generates the presumed life and rest behavior, the AI processor module further judges the presumed life and rest behavior to be life and rest health behavior, and when the behavior which is not fit with medical health exists, the reminding and alarm module reminds, and the standing user can set the behavior which is preferential to the medical health or the behavior which is preferential to own habit, so that when the reminding and alarm module reminds, if the standing user does not select, the selection is carried out based on the preference of the standing user, and the corresponding interaction control module is controlled.
Preferably, the user information entry module further obtains the physical and physiological information of the standing user, and when the AI processor module learns the inferred daily living action through the neural network, the data of the dimension of the physical and physiological information of the standing user is also considered, and the inferred daily living action is ensured to meet the requirement of medical health.
Preferably, when the AI processor module generates the presumed life and rest behavior, time information at that time is acquired, and when the AI processor module learns the presumed life and rest behavior through the neural network, the time information is also taken into consideration to recommend a behavior according with healthy life and rest.
In another aspect, the present application further provides a multidimensional recommendation method based on AI prediction, including a multidimensional recommendation system based on AI prediction, wherein the specific recommendation method is as follows;
step S1, the user with management authority inputs the information of the permanent user, the life information and the work and rest habits of the permanent user through the user information input module to form the corresponding multidimensional data record of the user, the life information and the work and rest habits, and the permanent user can also temporarily input the data for temporarily changing the life information and the work and rest habits; for the user with the abnormal residence, the admission authentication is only valid on the same day;
step S2, after the person arrives at the gate, the video monitoring module arranged at the gate automatically shoots the image of the person, the AI processor module identifies and authenticates the image, and when the person is identified as a permanent user, the door is opened and the permanent user is allowed to enter;
step S3, after the entrance is allowed, the facial expression sensing module identifies the entrance permanent user expression based on the image to obtain the emotion of the entrance user, and sends the emotion of the user to the AI processor module;
step S4, the AI processor module reads the historical life information and the data record of the work and rest habits stored in the data storage module, learns the neural network based on the emotion of the stay-alive user, obtains the presumed work and rest behaviors of the stay-alive user under the current emotion, and controls the curtain opening and closing system, the air conditioner control module, the light control module and the hot water supply system based on the presumed work and rest behaviors, thereby controlling the opening and closing of the curtain, the indoor temperature, the color and the brightness of the light and the time of supplying hot water and providing automatic equipment control for the stay-alive user; the reminding and alarming module is used for reminding the daily work and rest activities of the living user;
step S5, when the steady user does not want the reminding of the current life and rest activities, the steady user inputs the temporary life information and the change plan of the work and rest habits or the permanent life information and the change plan of the work and rest habits through the user information input module, the AI processor module performs the learning of the neural network according to the input temporary life information and the change plan of the work and rest habits or the permanent life information and the change plan of the work and rest habits, so as to generate a new presumed life and rest behaviors, and when the user inputs the permanent life information and the change plan of the work and rest habits, the data stored in the data storage module is modified, so as to form a new multidimensional data record of the life information and the work and rest habits of the user;
step S6, the AI processor module acquires the acquired data and control data of each interactive control module, forms recommended daily life and rest behaviors through data calculation based on the acquired data and control data and multidimensional data records of user life information and work and rest habits stored in the data storage module, and reminds the user of the daily life and rest behaviors through the reminding and alarming module and automatically controls the corresponding curtain opening and closing system, the air conditioner control module, the light control module, the hot water supply module and the data acquisition module;
step S7, for the user in the abnormal situation, the user in the abnormal situation temporarily inputs the information of the user in the abnormal situation through the user information input module, and the user in the abnormal situation enters the user in a mode of allowing the user in the abnormal situation to temporarily enter the user in the abnormal situation to be authorized; or the standing user actively opens the door to allow access, or the standing user enters along with the standing user; when the user who is very resident enters along with the user who is very resident, the AI processor module detects the distance between the user who is very resident and the user who is very resident on the basis of the image obtained by the first camera module, when the distance is larger than a certain value, the user who is very resident is considered to be a person who is not allowed to enter the building, when the user who is very resident continuously tries to enter, the reminding and alarming module gives an alarm, the user is reminded of paying attention to safety, meanwhile, the door is closed after the user who is very resident enters, and the alarm information is sent to a safety management department after the user who is very resident continuously breaks in; and for the user who is in an abnormal condition, entering an authorized authentication valid only day step S8, and when the interaction control module detects that the user or the room has abnormal conditions, giving an alarm through the reminding and alarming module.
Preferably, when the AI processor module generates the presumed life and rest behavior, the AI processor module further judges the presumed life and rest behavior to be life and rest health behavior, and when the behavior which is not fit with medical health exists, the reminding and alarm module reminds, and the standing user can set the behavior which is preferential to the medical health or the behavior which is preferential to own habit, so that when the reminding and alarm module reminds, if the standing user does not select, the selection is carried out based on the preference of the standing user, and the corresponding interaction control module is controlled.
Compared with the prior art, the invention has the beneficial effects that:
1. in this application, realize real intelligent house control and house theory, the life habit of automatic study resident family to automatic control light, (window) curtain and temperature etc. thereby can be in order to realize automatic light, (window) curtain and temperature under the condition that the user did not intervene, provide travelling comfort, intelligence and security for the user.
2. In this application, through according to people's habit of living, can judge whether personnel follow the personnel through detection distance, action, can in time report to the police when following to take the safety to deal with the measure, thereby improve the intelligence and the security of living.
3. In the application, the physical state of people, states such as time and weather are fully considered, diagnosis and judgment are carried out from multiple dimensions, one recommended life work and rest behavior which is fit for physical health and can also fit for life work and rest is recommended, the user is not allowed to be in a position of being a regular reason, and the recommended life work and rest behavior can only be not fit for regulations occasionally, so that people live healthily and comfortably.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic structural diagram of an interactive control module and a corresponding control module according to the present invention;
fig. 3 is a schematic structural diagram of a data acquisition module according to the present invention.
In the figure: 1. an AI processor module; 2. an interaction control module; 3. a data storage module; 4. a reminding and alarming module; 5. a user information input module; 6. a curtain opening and closing system; 7. an air conditioner control module; 8. a light control module; 9. a hot water supply module; 10. a data acquisition module; 11. an image monitoring module; 12. a facial expression recognition module; 13. a first camera module; 14. and a second camera module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1-3, the present invention provides a technical solution: a multi-dimensional recommendation system and a recommendation method based on AI prediction comprise an AI processor module 1, an interaction control module 2, a data storage module 3 and a reminding and alarming module 4, wherein: the AI processor module 1 is respectively in data communication connection with the interaction control module 2, the data storage module 3 and the reminding and alarming module 4;
the interactive control module 2 is connected with a user information input module 5, a curtain opening and closing system 6, an air conditioner control module 7, a light control module 8, a hot water supply module 9 and a data acquisition module 10, controls the user information input module 5, the curtain opening and closing system 6, the air conditioner control module 7, the light control module 8 and the hot water supply module 9 which are connected in an access manner, and receives data acquired by the data acquisition module 10;
the user information input module 5 is used for inputting information of the standing user and life information and work and rest habits of the standing user, forming corresponding multi-dimensional data records of the user, the life information and the work and rest habits, and storing the data records in the data storage module 3; the curtain opening and closing system 6 is used for controlling the opening and closing of curtains, and the air conditioner control module 7 is used for controlling air conditioners arranged in each room so as to control the temperature in each room; the light control module 8 is used for controlling the brightness and color of light in each room; the hot water supply module 9 is used for controlling the water heater to work so as to supply hot water; the information acquisition module 10 comprises an image monitoring module 11 and a facial expression recognition module 12, and is used for acquiring images and acquiring data; the image monitoring module 11 comprises a first camera module 13 arranged at a building doorway and a second camera module 14 arranged in each room;
the data storage module 3 is also used for storing the data and control data acquired by the interactive control module 2 and simultaneously storing the data records of the life information and the work and rest habits of the user; the reminding and alarming module 4 is used for sending out a reminding or alarming function;
when the multi-dimensional recommendation system based on AI prediction runs, according to the use requirement of a building, a standing user inputs information of the standing user, life information and work and rest habits of the standing user through the user information input module 5 to form corresponding multi-dimensional data records of the user, the life information and the work and rest habits, and the standing user can also temporarily input data for temporarily changing the life information and the work and rest habits;
after a person arrives at a doorway, the video monitoring module 11 arranged at the doorway automatically shoots an image of the person, the AI processor module 1 identifies and authenticates the image, and when the person is identified as a permanent user, the door is opened and the permanent user is allowed to enter;
meanwhile, the facial expression sensing module 12 recognizes the expression of the entering permanent user based on the image to obtain the emotion of the entering user, and sends the emotion of the user to the AI processor module 1;
the AI processor module 1 reads the historical life information and the data record of the work and rest habits stored in the data storage module 3, learns the neural network based on the emotion of the stay-alive user, obtains the presumed life and rest behaviors of the stay-alive user under the current emotion, and controls the curtain opening and closing system 6, the air conditioner control module 7, the light control module 8 and the hot water supply system 9 based on the presumed life and rest behaviors, thereby controlling the opening and closing of the curtain, the indoor temperature, the color and brightness of the light and the time of providing hot water and providing automatic equipment control for the stay-alive user; the reminding and alarming module 4 is used for reminding the daily work and rest activities of the living user;
when the permanent user does not want to remind the current daily life and rest activities, the permanent user inputs a temporary change plan of the daily life information and the work and rest habits or a permanent change plan of the daily life information and the work and rest habits through the user information input module 7, the AI processor module 1 performs neural network learning according to the input temporary change plan of the daily life information and the work and rest habits or the permanent change plan of the daily life information and the work and rest habits, so that new presumed daily life and rest behaviors are generated, and when the user inputs the permanent change plan of the daily life information and the work and rest habits, the data stored in the data storage module 3 is modified to form new multidimensional data records of the daily life information and the work and rest habits of the user; meanwhile, the AI processor module 1 acquires the acquired data and control data of each interactive control module 2, forms recommended daily life and rest behaviors through data calculation based on the acquired data and control data and multidimensional data records of user life information and work and rest habits stored in the data storage module 3, and reminds the user of the daily life and rest behaviors through the reminding and alarming module 4 and automatically controls the corresponding curtain opening and closing system 6, the air conditioner control module 7, the light control module 8, the hot water supply module 9 and the data acquisition module 10;
and when the interactive control module 2 detects that the user or the room is in an abnormal condition, the reminding and alarming module 4 gives an alarm.
Preferably, when the multi-dimensional recommendation system is used, the image information of the normally-living user is input through the user information input module 5, for the extraordinary living user, the information of the extraordinary living user is temporarily input through the user information input module 5, and the extraordinary living user is allowed to enter in a mode of allowing the extraordinary living user to temporarily enter the permission authentication; or the standing user actively opens the door to allow access, or the standing user enters along with the standing user; when an abnormal user enters along with the normal user, the AI processor module 1 detects the distance between the abnormal user and the normal user based on the image acquired by the first camera module 13, when the distance is greater than a certain value, the abnormal user is considered to be a person who is not allowed to enter the building, when the abnormal user continuously tries to enter, the reminding and alarming module 4 gives an alarm to remind the user of paying attention to safety, and the door is closed after the abnormal user enters, and the alarm information is sent to a safety management department after the abnormal user continuously intrudes; for very large residents, the admission authentication is valid only for the day.
Preferably, when the AI processor module 1 determines whether the unusual user belongs to a person who is not allowed to enter based on the image acquired by the camera module one 13, when the distance between the unusual user and the frequent user is detected, and when the distance is smaller than the certain value, the facial expression sensing module 11 identifies the expression of the unusual user based on the acquired image, and sends the identified expression of the unusual user to the AI processor module 1, and when the AI processor module 1 determines that the expression of the unusual user is abnormal, the door is quickly closed after the unusual user enters, an alarm is given through the reminding and alarm module 4, and the alarm information is sent to a safety management department.
Preferably, when the AI processor module 1 controls the curtain opening and closing system 6, the air conditioner control module 7, the light control module 8, the hot water supply system 9 and the information acquisition module 10 to work based on the inferred daily life and rest behaviors, the reminding and alarm module 4 is used for forecasting the control command before the control command is sent, and if the user does not propose an objection, the control command is sent to the corresponding interactive control module 2 to further control the corresponding equipment.
Preferably, the interactive control module 2 further acquires the weather data; acquiring real-time weather data including weather, air temperature, air pressure and air quality parameters through the Internet; when the AI processor module 1 generates the inferred daily and resting behaviors, the AI processor module 1 also corrects the inferred daily and resting behaviors based on the weather data.
Preferably, when the AI processor module 1 generates the presumed life work and rest behavior, the AI processor module 1 further judges the presumed life work and rest behavior as to life work and rest health behavior, and when there is a work and rest behavior not conforming to medical health, the reminding and alarm module 4 reminds, and the standing user can set a work and rest behavior preferred to medical health or a work and rest behavior preferred to own habits, so that when reminding is performed through the reminding and alarm module 4, if the standing user does not select, the selection is performed based on the preference of the standing user, and the corresponding interactive control module 2 is controlled.
Preferably, the user information entry module 5 further obtains the physical physiological information of the stay-alive user, and when the AI processor module 1 learns the inferred daily life and rest behaviors through the neural network, the data of the dimension of the physical physiological information of the stay-alive user is also considered, and the inferred daily life and rest behaviors are ensured to meet the requirements of medical health.
Preferably, when the AI processor module 1 generates the presumed life action and rest, the time information at that time is acquired, and when the AI processor module 1 learns the presumed life action and rest through the neural network, the time information is also taken into consideration to recommend the action according with the healthy life action and rest.
The second concrete embodiment:
the application also provides a multi-dimensional recommendation method based on AI prediction, which comprises a multi-dimensional recommendation system based on AI prediction, wherein the specific recommendation method comprises the following steps;
step S1, the user with management authority enters the information of the permanent user, the life information and the work and rest habits of the permanent user through the user information entry module 7 to form a multi-dimensional data record corresponding to the life information and the work and rest habits of the user, and the permanent user can also temporarily enter the data for temporarily changing the life information and the work and rest habits; for the user with the abnormal residence, the admission authentication is only valid on the same day;
step S2, after a person arrives at the door, the video monitoring module 11 arranged at the door automatically shoots the image of the person, the AI processor module 1 identifies and authenticates the image, and when the person is identified as a permanent user, the door is opened and the permanent user is allowed to enter;
step S3, after allowing entry, the facial expression sensing module 12 recognizes the incoming permanent user expression based on the image to obtain the emotion of the entering user, and sends the emotion of the user to the AI processor module 1;
step S4, the AI processor module 1 reads the historical life information and the data records of the work and rest habits stored in the data storage module 3, and performs learning of the neural network based on the emotion of the stay-in-person user, obtains the presumed work and rest behaviors of the stay-in-person user under the current emotion, and controls the curtain opening and closing system 6, the air conditioner control module 7, the light control module 8, and the hot water supply system 9 based on the presumed work and rest behaviors, thereby controlling the opening and closing of the curtain, the indoor temperature, the color and brightness of the light, the time of supplying hot water, and providing automatic control of various devices for the stay-in-person user; the reminding and alarming module 4 is used for reminding the daily work and rest activities of the living user;
step S5, when the steady user does not want the reminding of the current life, work and rest activities, the steady user inputs the temporary change plan of life information and work and rest habits or the permanent change plan of life information and work and rest habits through the user information input module 7, the AI processor module 1 learns the neural network according to the input temporary change plan of life information and work and rest habits or the permanent change plan of life information and work and rest habits, so as to generate new presumed life and rest behaviors, and when the user inputs the permanent change plan of life information and work and rest habits, the data stored in the data storage module 3 is modified, so as to form new multidimensional data records of life information and work and rest habits of the user;
step S6, the AI processor module 1 acquires the acquired data and control data of each interactive control module 2, forms recommended daily life and rest behaviors through data calculation based on the acquired data and control data and multi-dimensional data records of user life information and work and rest habits stored in the data storage module 3, and reminds the user of the daily life and rest behaviors through the reminding and alarming module 4 and automatically controls the corresponding curtain opening and closing system 6, the air conditioner control module 7, the light control module 8, the hot water supply module 9 and the data acquisition module 10;
step S7, for the user in the unusual situation, the user in the unusual situation temporarily enters the information of the user in the unusual situation through the user information entry module 5, and thus the user in the unusual situation is allowed to enter the system by the temporary entering permission authentication; or the standing user actively opens the door to allow access, or the standing user enters along with the standing user; when an abnormal user enters along with the normal user, the AI processor module 1 detects the distance between the abnormal user and the normal user based on the image acquired by the first camera module 13, when the distance is greater than a certain value, the abnormal user is considered to be a person who is not allowed to enter the building, when the abnormal user continuously tries to enter, the reminding and alarming module 4 gives an alarm to remind the user of paying attention to safety, and the door is closed after the abnormal user enters, and the alarm information is sent to a safety management department after the abnormal user continuously intrudes; and for the user who is in an abnormal condition, entering an authorized authentication valid only day step S8, and when the interaction control module 2 detects that the user or the room has abnormal conditions, giving an alarm through the reminding and alarming module 4.
Preferably, when the AI processor module 1 generates the presumed life work and rest behavior, the AI processor module 1 further judges the presumed life work and rest behavior as to life work and rest health behavior, and when there is a work and rest behavior not conforming to medical health, the reminding and alarm module 4 reminds, and the standing user can set a work and rest behavior preferred to medical health or a work and rest behavior preferred to own habits, so that when reminding is performed through the reminding and alarm module 4, if the standing user does not select, the selection is performed based on the preference of the standing user, and the corresponding interactive control module 2 is controlled.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A multi-dimensional recommendation system and a recommendation method based on AI prediction are characterized in that: including AI processor module (1), interactive control module (2), data storage module (3) and warning and alarm module (4), wherein: the AI processor module (1) is respectively in data communication connection with the interaction control module (2), the data storage module (3) and the reminding and alarming module (4).
2. The AI-prediction-based multidimensional recommendation system of claim 1, wherein:
interaction control module (2) are connected with user information input module (5), (window) curtain switching system (6), air conditioner control module (7), light control module (8), hot water supply module (9) and data acquisition module (10), realize that control is inserted user information input module (5), (window) curtain switching system (6), air conditioner control module (7), light control module (8) and hot water supply module (9), and receive the data that data acquisition module (10) gathered.
3. The AI prediction-based multidimensional recommendation system of claim 2, wherein:
the user information input module (5) is used for inputting information of the standing user and life information and work and rest habits of the standing user, forming corresponding multi-dimensional data records of the user, the life information and the work and rest habits, and storing the data records in the data storage module (3); the curtain opening and closing system (6) is used for controlling the opening and closing of curtains, and the air conditioner control module (7) is used for controlling air conditioners arranged in all the rooms so as to control the temperature in all the rooms; the light control module (8) is used for controlling the brightness and color of light in each room; the hot water supply module (9) is used for controlling the water heater to work so as to supply hot water; the information acquisition module (10) comprises an image monitoring module (11) and a facial expression recognition module (12) and is used for acquiring images and acquiring data; the image monitoring module (11) comprises a first camera module (13) arranged at a building doorway and a second camera module (14) arranged in each room;
the data storage module (3) is also used for storing the data and control data acquired by the interaction control module (2) and simultaneously storing the data records of the life information and the work and rest habits of the user; the reminding and alarming module (4) is used for sending out a reminding or alarming function;
when the multi-dimensional recommendation system based on AI prediction operates, according to the use requirements of a building, a living user inputs information of the living user, life information of the living user and work and rest habits of the living user through the user information input module (5) to form a multi-dimensional data record corresponding to the life information and the work and rest habits of the user, and the living user can also temporarily input data for temporarily changing the life information and the work and rest habits;
after a person arrives at a doorway, the video monitoring module (11) arranged at the doorway automatically shoots images of the person, the AI processor module (1) identifies and authenticates the images, and when the person is identified as a permanent user, the door is opened and the permanent user is allowed to enter;
meanwhile, the facial expression sensing module (12) identifies the expression of the incoming permanent user based on the image to obtain the emotion of the incoming user, and sends the emotion of the user to the AI processor module (1);
the AI processor module (1) reads historical life information and data records of work and rest habits stored in the data storage module (3), learns a neural network based on the emotion of the stay-in-person user, acquires the presumed life and rest behaviors of the stay-in-person user under the current emotion, and controls the curtain opening and closing system (6), the air conditioner control module (7), the light control module (8) and the hot water supply system (9) based on the presumed life and rest behaviors, so that the opening and closing of the curtain, the indoor temperature, the color and brightness of light and the time for supplying hot water are controlled, and automatic equipment control is provided for the stay-in-person user; the reminding and alarming module (4) is used for reminding the daily work and rest activities of the living user;
when the permanent user does not want to remind of the current daily life and rest activities, the permanent user inputs a temporary change plan of the daily life information and the work and rest habits or a permanent change plan of the daily life information and the work and rest habits through the user information input module (7), the AI processor module (1) performs neural network learning according to the temporary change plan of the daily life information and the work and rest habits or the permanent change plan of the daily life information and the work and rest habits, so that new presumed daily life and rest behaviors are generated, and when the permanent change plan of the daily life information and the work and rest habits is input by the user, data stored by the data storage module (3) are modified to form new multi-dimensional data records of the daily life information and the work and rest habits of the user; meanwhile, the AI processor module (1) acquires the acquired data and control data of each interactive control module (2), forms recommended daily work and rest behaviors through data calculation based on the acquired data and control data and multidimensional data records of user life information and work and rest habits stored in the data storage module (3), and reminds the user and automatically controls a corresponding curtain opening and closing system (6), an air conditioner control module (7), a light control module (8), a hot water supply module (9) and a data acquisition module (10) through the reminding and alarming module (4) to perform daily work and rest behaviors;
and when the interactive control module (2) detects that the user or the room is abnormal, the reminding and alarming module (4) gives an alarm.
4. The AI prediction-based multidimensional recommendation system of claim 3, wherein: when the AI processor module (1) controls the curtain opening and closing system (6), the air conditioner control module (7), the light control module (8), the hot water supply system (9) and the information acquisition module (10) to work based on the inferred daily work and rest behaviors, the reminding and alarm module (4) is used for forecasting a control instruction before the control instruction is sent, and if a user does not propose an objection, the control instruction is sent to the corresponding interactive control module (2) so as to control corresponding equipment;
when the multi-dimensional recommendation system is used, image information of a normally-living user is input through the user information input module (5), for an extraordinary living user, the information of the extraordinary living user is temporarily input through the user information input module (5), and the extraordinary living user is allowed to enter in a mode of allowing the extraordinary living user to temporarily enter permission authentication; or the standing user actively opens the door to allow access, or the standing user enters along with the standing user; when an extraordinary user enters along with an extraordinary user, the AI processor module (1) detects the distance between the extraordinary user and the ordinary user based on the image acquired by the first camera module (13), when the distance is greater than a certain value, the extraordinary user is considered to be a person who does not allow to enter the building, when the extraordinary user continuously tries to enter, the reminding and alarming module (4) gives an alarm and reminds the user to pay attention to safety, and meanwhile, a door is closed after the extraordinary user enters, and the alarm information is sent to a safety management department after the extraordinary user continuously breaks into the door; for the user with the abnormal residence, the admission authentication is only valid on the same day;
the AI processor module (1) judges whether the very-living user belongs to a person who is not allowed to enter or not based on the image acquired by the first camera module (13), when the distance between the very-living user and the very-living user is detected, when the distance is smaller than the certain value, the facial expression sensing module (11) identifies the expression of the very-living user based on the acquired image and sends the identified expression of the very-living user to the AI processor module (1), and when the AI processor module (1) judges that the expression of the very-living user is abnormal, the door is quickly closed after the very-living user enters, an alarm is given through the reminding and alarming module (4), and the alarm information is sent to a safety management department.
5. The AI prediction based multi-dimensional recommendation system and method of claim 4, wherein: the interaction control module (2) also acquires the weather data; acquiring real-time weather data including weather, air temperature, air pressure and air quality parameters through the Internet; when the AI processor module (1) generates the presumed daily and resting behaviors, the AI processor module (1) corrects the presumed daily and resting behaviors based on the weather data.
6. The AI prediction-based multidimensional recommendation system of claim 5, wherein: when AI processor module (1) generates speculate life work and rest action, AI processor module (1) is still right speculate life work and rest action and carry out life work and rest health action and judge, when there is the work and rest action that does not accord with medical health, through remind and alarm module (4), and the user of standing still can set up the work and rest action of preference medical health or the work and rest action of preference oneself custom, thereby when reminding through remind and alarm module (4), if the user of standing still does not select, then select based on the preference of the user of standing still to control corresponding interactive control module (2).
7. The AI prediction-based multidimensional recommendation system of claim 6, wherein: the user information entry module (5) also acquires the physical physiological information of the standing user, and when the AI processor module (1) learns the presumed life and rest behavior through the neural network, the data of the dimension of the physical physiological information of the standing user is also considered, and the presumed life and rest behavior is ensured to meet the requirements of medical health.
8. The AI prediction-based multidimensional recommendation system of claim 7, wherein: when the AI processor module (1) generates the presumed life and rest behaviors, the time information at that time is obtained, and when the AI processor module (1) obtains the presumed life and rest behaviors through the learning of the neural network, the time information is also considered to recommend the behaviors according with the healthy life and rest behaviors.
9. A multi-dimensional recommendation method based on AI prediction, comprising the multi-dimensional recommendation system based on AI prediction of claim 8, characterized in that the specific recommendation method is as follows;
step S1, the user with the management authority inputs the information of the standing user, the life information and the work and rest habits of the standing user through the user information input module (7), so that multi-dimensional data records corresponding to the user, the life information and the work and rest habits are formed, and meanwhile, the standing user can also temporarily input data for temporarily changing the life information and the work and rest habits; for the user with the abnormal residence, the admission authentication is only valid on the same day;
step S2, after a person arrives at the door, the video monitoring module (11) arranged at the door automatically shoots the image of the person, the AI processor module (1) identifies and authenticates the image, and when the person is identified as a permanent user, the door is opened and the permanent user is allowed to enter;
step S3, after the entry is permitted, the facial expression sensing module (12) recognizes the incoming facial expression of the standing user based on the image to obtain the emotion of the incoming user, and sends the emotion of the user to the AI processor module (1);
step S4, the AI processor module (1) reads historical life information and data records of work and rest habits stored in the data storage module (3), learns a neural network based on the emotion of the stay-alive user, acquires the presumed work and rest behaviors of the stay-alive user in the current emotion, and controls the curtain opening and closing system (6), the air conditioner control module (7), the light control module (8) and the hot water supply system (9) based on the presumed work and rest behaviors, so that the opening and closing of a curtain, the indoor temperature, the light color and the brightness and the time of supplying hot water are controlled, and automatic control of various devices is provided for the stay-alive user; the reminding and alarming module (4) is used for reminding the daily work and rest activities of the living user;
step S5, when the steady user does not want the reminding of the current life and rest activities, the steady user inputs temporary life information and a change plan of the work and rest habits or a permanent life information and a change plan of the work and rest habits through the user information input module (7), the AI processor module (1) performs the learning of the neural network according to the input temporary life information and the change plan of the work and rest habits or the permanent life information and the change plan of the work and rest habits, thereby generating new presumed life and rest behaviors, and when the user inputs the permanent life information and the change plan of the work and rest habits, the data stored in the data storage module (3) is modified, so as to form a new multidimensional data record of the life information and the work and rest habits of the user;
step S6, the AI processor module (1) acquires the acquired data and control data of each interactive control module (2), forms recommended daily work and rest behaviors through data calculation based on the acquired data and control data and multidimensional data records of user life information and work and rest habits stored in the data storage module (3), and reminds the user of the daily work and rest behaviors through the reminding and alarming module (4) and automatically controls the corresponding curtain opening and closing system (6), the air conditioner control module (7), the light control module (8), the hot water supply module (9) and the data acquisition module (10);
step S7, for the user in the abnormal situation, the user in the abnormal situation temporarily inputs the information of the user in the abnormal situation through the user information input module (5), and the user in the abnormal situation enters the user in a mode of allowing the user in the abnormal situation to temporarily enter the user in the authorized mode; or the standing user actively opens the door to allow access, or the standing user enters along with the standing user; when an extraordinary user enters along with an extraordinary user, the AI processor module (1) detects the distance between the extraordinary user and the ordinary user based on the image acquired by the first camera module (13), when the distance is greater than a certain value, the extraordinary user is considered to be a person who does not allow to enter the building, when the extraordinary user continuously tries to enter, the reminding and alarming module (4) gives an alarm and reminds the user to pay attention to safety, and meanwhile, a door is closed after the extraordinary user enters, and the alarm information is sent to a safety management department after the extraordinary user continuously breaks into the door; and for the user who is in an abnormal condition, entering an authorized authentication valid step S8 only on the same day, and when the interaction control module (2) detects that the user or the room has abnormal conditions, giving an alarm through the reminding and alarming module (4).
10. The AI-prediction-based multidimensional recommendation method of claim 9, wherein: when the AI processor module (1) generates the presumed life and rest behaviors, the AI processor module (1) also judges the work and rest health behaviors of the presumed life and rest behaviors, when the work and rest behaviors which do not accord with medical health exist, the reminding and alarm module (4) is used for reminding, and the standing user can set the work and rest behaviors which are preferential to the medical health or the work and rest behaviors which are preferential to own habits, so that when the reminding and alarm module (4) is used for reminding, if the standing user does not select, the selection is carried out based on the preference of the standing user, and the corresponding interaction control module (2) is controlled.
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