Whole-house customized smart home personalized interaction system based on artificial intelligence

Abstract

The invention discloses a whole-house customized smart home personalized interaction system based on artificial intelligence, and relates to the technical field of smart furniture control. The system comprises a multi-modal perception module, a user portrait construction module, a personalized recommendation module, a natural language processing module, an intelligent control module, a data storage and management module and a safety protection module, adopts quantum and other technologies, perceives users in multiple dimensions, accurately constructs portraits, provides personalized services, and guarantees system safety. The system is accurate in multi-mode perception, comprehensive in portrait construction, high in recommendation individuation, intelligent in language interaction, safe and flexible in control, safe in data storage, strict in protection, capable of paying attention to health and environment, capable of achieving self-evolution and capable of improving home experience.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control interaction systems for furniture, and particularly to a personalized interaction system for whole-house customized smart homes based on artificial intelligence. Background Art

[0002] With the rapid development of technology, smart homes have gradually entered people's lives. Although traditional smart home systems can achieve remote control and automated operation of some devices, they have problems such as a single interaction method and low personalization level. Most systems only support voice or mobile APP control, making it difficult to meet the diverse interaction needs of users. Moreover, there is a lack of unified standards and poor compatibility among different brands and types of smart home devices, causing many inconveniences to users during use.

[0003] Existing smart home systems do not have a deep enough perception and understanding of users, and cannot accurately grasp users' personalized needs and habits. They often can only operate according to preset rules and patterns, and cannot make intelligent adjustments based on users' real-time status and environmental changes. For example, when a user is in a bad mood, it cannot automatically provide a suitable relaxation solution; when the environment changes, it cannot optimize the home environment in a timely manner.

[0004] At the same time, data security and privacy protection of smart home systems face severe challenges. Traditional encryption technologies and security protection mechanisms are easily cracked, and there is a risk of leakage of users' personal information and usage data. In addition, the response speed and stability of the system also need to be improved. When processing a large amount of data and complex tasks, delays and failures are likely to occur, affecting the user experience. Therefore, developing a personalized interaction system for whole-house customized smart homes based on artificial intelligence has important practical significance, which can effectively solve the problems existing in existing smart home systems and provide users with a more intelligent, convenient, secure and personalized home experience. Summary of the Invention

[0005] The personalized interaction system for whole-house customized smart homes based on artificial intelligence proposed by the present invention aims to solve the problems mentioned in the above prior art.

[0006] To achieve the above object, the present invention adopts the following technical solution: A personalized interaction system for whole-house customized smart homes based on artificial intelligence, comprising:

[0007] Multimodal perception module: Integrating quantum imaging technology with a nanoscale sensor array; performing feature extraction and fusion on data through a quantum neural network, and applying a sensor quantum fusion algorithm Where F Q is the fused quantum-enhanced perception information, q i is the i-th quantum weighting coefficient, S iData collected by the i-th sensor. Meanwhile, electroencephalogram reading technology is introduced to obtain the user's electroencephalogram signal in real time through a head-mounted device, and the user's intention is analyzed to provide a basis for interaction;

[0008] User portrait construction module: In addition to collecting home usage data, it utilizes gene detection data and the results of psychological assessment questionnaires; it uses a deep generative adversarial network GAN combined with a Bayesian network to construct a user portrait generative adversarial network to generate user features, and the Bayesian network determines the causal relationship between features; a quantum state user similarity index is introduced where u1 and u2 are different users, and are the values of the i-th quantized feature for users u1 and u2 respectively, used to measure the quantum-level similarity between users;

[0009] Personalized recommendation module: Based on the user portrait and real-time perception information, it combines the quantum annealing collaborative filtering algorithm with the recommendation algorithm based on the semantic graph; it optimizes the recommendation strategy through the combination of reinforcement learning and quantum game theory, considering the strategic interaction between different users, and improves the accuracy of recommendations and user satisfaction;

[0010] Natural language processing module: It uses a large language model based on quantum computing and adopts quantum sentiment analysis technology. By analyzing the quantum semantic features and emotional quantum states in language, it judges the user's emotional state, including using a quantum emotional polarity calculation function where P Q is the quantum emotional polarity value, q i is the weight of the i-th quantum emotional word, s i is the score of the i-th quantum emotional word, and the system adjusts the reply method and service content according to the user's emotional quantum state;

[0011] Intelligent control module: It is connected to the home furnishing equipment customized for the whole house through a quantum communication protocol, introduces an actuator driven by a microelectromechanical system MEMS, supports device control authorization based on the user's biometric characteristics, real-time monitoring of device status, and a fault warning function based on a quantum anomaly detection algorithm. By analyzing the quantum state changes of device operation data, faults can be detected in advance;

[0012] Data storage and management module: It adopts a quantum encrypted distributed database system, utilizes the polymorphism of quantum bits to improve data storage density and read / write speed, and at the same time ensures data security; it establishes a quantum backup and recovery mechanism, and realizes real-time off-site backup of data through quantum entanglement;

[0013] Security Protection Module: Set up a quantum biometric fusion authentication mechanism. By combining fingerprint, face, iris, and DNA biometrics with quantum keys, and adopting quantum firewall technology, utilize the entanglement property of quantum states to construct a quantum protection shield against external attacks. Real-time monitor quantum state anomalies in network traffic, conduct quantum audits on user operation records, and ensure the traceability of operation records through quantum traceability algorithms.

[0014] Furthermore, it also includes:

[0015] Health Monitoring and Care Module: Integrate quantum-level biosensors in home appliances to detect changes in biological quantum states at the human cell level. Analyze and diagnose health data through a quantum medical knowledge graph and quantum machine learning algorithms. When detecting abnormal user health, use quantum communication technology to send early warnings in a timely manner and provide health advice based on quantum medicine; introduce quantum health risk assessment indicators where R Q is the quantum health risk value, q i is the weight of the i-th quantum health indicator, h i is the degree of abnormality of the i-th quantum health indicator, helping users understand their own health status.

[0016] Environmental Adaptation Module: Install quantum-level temperature and humidity sensors, air quality sensors, and quantum light field sensors to perceive minute quantum state changes in the environment. According to environmental quantum data and user personalized preferences, use quantum control technology to automatically adjust the operating state of home appliances. Introduce the quantum environmental comfort index C Q = a×T Q + b×H Q + c×A Q + d×L Q , where T Q is the quantum temperature, H Q is the quantum humidity, A Q is the quantum air quality, L Q is the quantum light intensity, and a, b, c, d are the corresponding quantum weight coefficients. The system dynamically adjusts the environmental adjustment strategy according to the value.

[0017] Furthermore, in the multimodal perception module, adopt quantum edge computing technology. Some quantum data processing and analysis tasks are completed on sensor nodes or edge devices. Utilize the parallel computing ability of quantum bits to reduce data transmission latency. At the same time, introduce gesture recognition and posture analysis technology based on quantum entanglement, and identify user gesture actions and body postures by detecting changes in quantum entanglement states to achieve an interaction method.

[0018] Furthermore, in the user portrait construction module, by combining the user's dream data and subconscious signal analysis, electroencephalogram signals and bioelectric signals in the user's dreams are collected through a sleep monitoring device, and the quantum psychology model is used to analyze the user's subconscious needs; at the same time, the quantum relationship map of the user's social network is integrated to analyze the quantum-level social interaction patterns of the user in the social network.

[0019] Furthermore, in the personalized recommendation module, the body reward mechanism of quantum reinforcement learning is introduced. The agents represent different recommendation strategies respectively, and the strategy optimization is realized through quantum games; according to the user's feedback on the recommended content, the recommendation strategy is dynamically adjusted, and the quantum synergy effect between different user groups is considered to improve the overall satisfaction of the recommendation.

[0020] Furthermore, in the natural language processing module, cross-dimensional language recognition and interaction are supported. It can not only recognize various languages and dialects on the earth, but also parse and reply to the preset special language codes across time, space and culture, expanding the application scenarios and interaction boundaries of the system.

[0021] Furthermore, in the control module, the device control technology based on the quantum field is introduced. The remote control of home appliances is realized by emitting and receiving quantum field signals without relying on traditional communication protocols; the quantum self-organizing network and automatic discovery functions of the devices are supported, and when a new device is connected, secure authentication and networking are realized through quantum key exchange.

[0022] Furthermore, in the data storage and management module, the quantum key technology is adopted. The characteristics of quantum bits are used to endow the nodes with security and computing power to ensure the traceability of data; at the same time, through quantum data mining technology, the quantum correlation patterns and laws in the data are mined to provide support for personalized recommendation and services.

[0023] Furthermore, the whole system realizes the quantum adaptive learning ability; the system automatically adjusts the system architecture, algorithms and parameters according to the quantum fluctuations of the cosmic environment, the microscopic changes of physical laws and the expansion of user needs; through the combination of quantum genetic algorithm and quantum annealing algorithm, the optimization and upgrade of the system are realized to improve the system performance and adaptability.

[0024] Compared with the existing technologies, the beneficial effects of the present invention are:

[0025] The multimodal perception module adopts advanced technologies to comprehensively and accurately perceive user information, providing strong support for interactions. The user profile construction module combines data from multiple aspects to create a precise and comprehensive user profile. The personalized recommendation module provides recommendation content that highly matches user needs, enhancing the quality of life. The natural language processing module enables efficient and accurate language interactions and can also sense user emotions. The intelligent control module ensures safe, precise, flexible, and convenient device control. The data storage and management module guarantees the security and efficiency of data. The security protection module adopts multiple authentication methods and advanced technologies to safeguard system security. The health monitoring and care module and the environment adaptation module focus on user health and environmental comfort. The entire system has the ability of self-evolution, can continuously optimize and upgrade, and brings users an ultimate smart home experience. Brief Description of the Drawings

[0026] Figure 1 It is a schematic block diagram of the personalized interaction system for whole-house customized smart home based on artificial intelligence proposed by the present invention;

[0027] Figure 2 It is a schematic block diagram for comparing the speech command recognition accuracy of the personalized interaction system for whole-house customized smart home based on artificial intelligence proposed by the present invention;

[0028] Figure 3 It is a schematic block diagram of the personalized recommendation satisfaction of the personalized interaction system for whole-house customized smart home based on artificial intelligence proposed by the present invention. Detailed Embodiments

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0030] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention.

[0031] In addition, the terms "first" and "second" are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of said features. In the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined. In addition, the terms "mounted", "connected", and "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The present invention will be further described in detail below with reference to the accompanying drawings.

[0032] Referring to Figures 1 - 2 : A specific implementation manner of an artificial intelligence-based whole-house customized smart home personalized interaction system

[0033] I. System overall architecture

[0034] This artificial intelligence-based whole-house customized smart home personalized interaction system is composed of a multi-modal perception module, a user profile construction module, a personalized recommendation module, a natural language processing module, an intelligent control module, a data storage and management module, a security protection module, a health monitoring and care module, and an environment adaptation module. Each module cooperates with each other to form an organic whole, providing users with a full-range and personalized smart home interaction experience.

[0035] II. Specific implementation details of each module

[0036] 1. Multi-modal perception module In this module, a combination of quantum imaging technology and a nanoscale sensor array is adopted. The quantum imaging device utilizes the characteristics of quantum entanglement states. By detecting and analyzing entangled photons, it can obtain images with ultra-high resolution and not restricted by traditional optics. For example, when a user enters a room, the quantum imaging device can quickly capture subtle information such as the user's facial expressions and body movements. The nanoscale sensor array contains various types of micro-sensors. For example, bioelectric sensors can sense the weak bioelectric signals of the human body, and odor sensors can detect the odor molecules emitted by the human body. These sensors are distributed in every corner of the whole house, collecting multi-dimensional information of users in real time. The collected data is subjected to feature extraction and fusion through a quantum neural network. The quantum neural network utilizes the superposition and entanglement characteristics of quantum bits, can process a large amount of data in parallel, and greatly improves the data processing speed. At the same time, a multi-sensor quantum fusion algorithm is used where F Q [ is the fused quantum-enhanced perception information, q iis the i-th quantum weighting coefficient, S i is the data collected by the i-th sensor. Through this algorithm, the data of different sensors are effectively fused, providing a comprehensive and accurate basis for subsequent interactions. In addition, electroencephalogram reading technology is introduced. The user wears a head-mounted electroencephalogram reading device, and the system can obtain the user's electroencephalogram signal in real time and analyze the user's subconscious intention through a specific algorithm. For example, when the user has the subconscious intention to turn on a certain device, the system can make a response in advance.

[0037] 2. The user portrait construction module not only collects the user's regular usage data in the smart home system, such as device operation records, environmental adjustment preferences, etc., but also combines gene detection data and the results of psychological assessment questionnaires. Gene detection data can analyze information such as the user's innate physiological characteristics and disease susceptibility. The psychological assessment questionnaire analyzes the user's psychological state and personality traits through natural language processing technology. A user portrait is constructed by using a deep generative adversarial network (GAN) combined with a Bayesian network. The deep generative adversarial network consists of a generator and a discriminator. The generator continuously generates simulated user characteristics, and the discriminator judges whether the generated characteristics are real. Through the adversarial training of the two, multi-dimensional user characteristics are generated. The Bayesian network is used to determine the causal relationship between these characteristics, thereby constructing a more accurate and comprehensive user portrait. At the same time, a quantum state user similarity index is introduced where u1 and u2 are different users, and are the values of the i-th quantized feature for users u1 and u2 respectively. By calculating this index, the quantum-level similarity between users can be measured, and similar personalized services can be quickly provided for new users.

[0038] 3. The personalized recommendation module makes personalized recommendations by combining the quantum annealing collaborative filtering algorithm with the recommendation algorithm based on semantic graphs, using the user profile and real-time perception information. The quantum annealing collaborative filtering algorithm utilizes the superposition state of qubits to quickly search for the optimal recommendation solution in the high-dimensional solution space. For example, when recommending movies to users, this algorithm can simultaneously consider multiple dimensions such as the user's historical movie-watching records, current emotional state, and time factors, and quickly find the movies that best meet the user's needs. The semantic graph delves into the semantic associations between user interests and items by constructing a knowledge network. For example, when a user is interested in a certain type of music, the semantic graph can be associated with relevant singers, music styles, performance activities, etc., providing users with richer recommendation content. The recommendation strategy is continuously optimized by combining reinforcement learning and quantum game theory. Reinforcement learning gives corresponding rewards or punishments based on the user's feedback on the recommended content, thereby adjusting the recommendation strategy. Quantum game theory considers the strategic interactions between different users. When multiple users use the system simultaneously, it can optimize the allocation of recommendation resources, improving the accuracy of recommendations and user satisfaction. For example, when multiple users request recommendation services simultaneously, the system determines the recommendation priorities and recommended content for each user through quantum game theory to achieve the overall optimal recommendation effect.

[0039] 4. The natural language processing module processes the user's natural language instructions using a large language model based on quantum computing. This model utilizes the powerful parallel processing ability of quantum computing to achieve ultra-high-speed semantic understanding, syntactic analysis, and intent recognition of natural language. For example, when a user utters a complex voice instruction, the large language model based on quantum computing can instantly parse the user's intent and generate corresponding operation instructions. It supports cross-language and cross-modal natural language interaction. Users can communicate with the system in different languages and dialects, and at the same time, the system can comprehensively understand information such as images and gestures. For example, when a user says "Turn on the lights in this room" while pointing to a certain room, the system can accurately recognize the user's intent. It adopts quantum sentiment analysis technology to judge the user's emotional state by analyzing the quantum semantic features and emotional quantum states in the language. Use the quantum sentiment polarity calculation function where P Q is the quantum sentiment polarity value, q i is the weight of the i-th quantum sentiment word, and s i is the score of the i-th quantum sentiment word. The system adjusts the reply method and service content according to the user's emotional quantum state. For example, when it detects that the user is in a low mood, the system will communicate with the user in a warm tone and recommend some music or movies to soothe the mood.

[0040] 5. The intelligent control module is connected to the smart home devices for customized home furnishing through the quantum communication protocol. Quantum communication features absolute security and ultra-low latency, ensuring the fast and accurate transmission of device control instructions. Microelectromechanical system (MEMS)-driven intelligent actuators are introduced. These actuators are small in size, fast in response, and high in precision, enabling precise control of devices such as lights, curtains, and air conditioners. For example, the MEMS-driven light actuator can precisely adjust the brightness and color of lights to meet different scene requirements of users. It supports device control authorization based on user biometric features (such as fingerprints, palm prints, DNA features, etc.). Only when the user's biometric features match the pre-registered information can the device be operated, greatly enhancing the security of the system. It has the functions of real-time monitoring of device status and fault warning based on quantum anomaly detection algorithms. By analyzing the quantum state changes of device operation data, potential faults can be detected in advance. For example, when abnormal quantum state fluctuations occur in the operation data of the air conditioner device, the system will promptly issue a warning to remind the user to conduct inspections and repairs.

[0041] 6. The data storage and management module uses a quantum encrypted distributed database system for data storage. Quantum encryption utilizes the characteristics of quantum bits to ensure the absolute security of data and prevent data from being stolen or tampered with. At the same time, quantum data compression algorithms are used to efficiently compress and store massive amounts of data. Based on the superposition and entanglement characteristics of quantum states, this algorithm can greatly reduce the data storage space and transmission bandwidth without losing important information. A quantum backup and recovery mechanism is established to achieve real-time off-site backup of data through quantum entanglement. When the local database fails, data can be quickly restored from the backup database to ensure that the data is not lost. The stored data is regularly cleaned and optimized to improve the operating efficiency of the system. For example, expired user operation records and invalid device status data are deleted to reduce the burden on the database.

[0042] 7. The security protection module sets up a quantum biometric fusion authentication mechanism, combining biometric features such as fingerprints, faces, irises, and DNA with quantum keys. When a user accesses the system, multiple biometric identifications and quantum key verifications are required simultaneously. Only when all conditions match can the user successfully log in to the system. Quantum firewall technology is adopted, and a quantum protection shield against external attacks is constructed using the non-clonability and entanglement characteristics of quantum states. This firewall can real-time monitor quantum state anomalies in network traffic and immediately take corresponding protection measures once external attacks or illegal intrusion behaviors are detected. Quantum auditing of user operation records is carried out to ensure the non-tamperability and traceability of operation records through quantum traceability algorithms. For example, when the system detects an abnormal operation, the quantum traceability algorithm can trace the source and detailed process of the operation, providing strong evidence for the investigation and handling of security incidents.

[0043] 8. The health monitoring and care module integrates quantum-level biosensors in smart home devices. These sensors can detect changes in the bio-quantum states at the human cell level, such as the quantum energy fluctuations of cells and the quantum expression of genes. The health data is analyzed and diagnosed through a quantum medicine knowledge graph and quantum machine learning algorithms. The quantum medicine knowledge graph integrates a large amount of medical knowledge and research results, and the quantum machine learning algorithms can quickly and accurately analyze complex health data. When an abnormality in the user's health is detected, a warning is sent in a timely manner using quantum communication technology and personalized health advice based on quantum medicine is provided. Quantum health risk assessment indicators are introduced. Where R Q is the quantum health risk value, q i is the weight of the i-th quantum health indicator, h i is the degree of abnormality of the i-th quantum health indicator. By calculating this indicator, the system can help users deeply understand their own health status and provide corresponding health management plans according to the risk level.

[0044] 9. The environmental adaption module installs environmental monitoring devices such as quantum-level temperature and humidity sensors, air quality sensors, and quantum light field sensors. These sensors can sense minute changes in the quantum states in the environment, such as the quantum vibrations of molecules in the air and the quantum fluctuations of light. According to the environmental quantum data and the user's personalized preferences, the operation status of smart home devices is automatically adjusted using quantum control technology. For example, when the indoor temperature is too high, the system adjusts the cooling effect of the air conditioner by changing the quantum spin state of the material to achieve more precise temperature control. The quantum environmental comfort index C is introduced. Q = a×T Q + b×H Q + c×A Q + d×L Q where T Q is the quantum temperature, H Q is the quantum humidity, A Q is the quantum air quality, L Q is the quantum light intensity, and a, b, c, d are the corresponding quantum weight coefficients. The system dynamically adjusts the environmental adjustment strategy according to the C Q value to create an extremely comfortable home environment. For example, when the C Q value is lower than the set comfort threshold, the system will automatically adjust the light brightness, air conditioner temperature, and the operation status of the air purifier to improve the environmental comfort.

[0045] III. Data Representation of Beneficial Effects

[0046]

[0047] Based on the performance of 50 groups of experiments, the performance of this system in terms of recognition rate, response time, data security, interaction experience, etc. is more advantageous than that of traditional systems.

[0048] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.

Claims

1. An artificial intelligence-based personalized interaction system for smart home customization of the whole house, characterized in that, Including: Multimodal perception module: Integrating quantum imaging technology with nanoscale sensor arrays; Feature extraction and fusion of data through a quantum neural network, using a sensor quantum fusion algorithm where F Q is the quantum-enhanced perception information after fusion, q i is the i-th quantum weighting coefficient, and S i is the data collected by the i-th sensor. At the same time, electroencephalogram reading technology is introduced to obtain the user's electroencephalogram signal in real time through a head-mounted device, and the user's intention is analyzed to provide a basis for interaction; User profile construction module: In addition to collecting home usage data, it utilizes genetic test data and the results of psychological assessment questionnaires; it constructs a user profile generation adversarial network using a deep generative adversarial network (GAN) combined with a Bayesian network to generate user features, and the Bayesian network determines the causal relationships between features; a quantum state user similarity index is introduced where u1 and u2 are different users, and are the values of the i-th quantized feature for users u1 and u2 respectively, which are used to measure the similarity at the quantum level between users; Personalized recommendation module: Based on user profiles and real-time perception information, combining quantum annealing collaborative filtering algorithm with recommendation algorithm based on semantic graph; Optimizing the recommendation strategy through the combination of reinforcement learning and quantum game theory, considering the strategic interactions between different users, and improving the accuracy of recommendations and user satisfaction; Natural Language Processing Module: Utilize a large language model based on quantum computing, adopt quantum sentiment analysis technology, and judge the user's emotional state by analyzing the quantum semantic features and emotional quantum states in the language, including using a quantum sentiment polarity calculation function where P Q is the quantum sentiment polarity value, q i is the weight of the i-th quantum sentiment word, s i is the score of the i-th quantum sentiment word, and the system adjusts the reply method and service content according to the user's emotional quantum state; Intelligent control module: Connecting with home furnishing devices customized for the whole house through quantum communication protocols, introducing actuators driven by microelectromechanical systems (MEMS), supporting device control authorization based on user biometrics, real-time monitoring of device status and fault warning function based on quantum anomaly detection algorithm, and detecting faults in advance by analyzing the quantum state changes of device operation data; Data storage and management module: Adopting a quantum encryption distributed database system, using the multi-state property of quantum bits to improve data storage density and read / write speed, while ensuring data security; Establishing a quantum backup and recovery mechanism to achieve real-time off-site backup of data through quantum entanglement; Security protection module: Setting up a quantum biometric fusion authentication mechanism, combining fingerprint, face, iris, and DNA biometrics with quantum keys, adopting quantum firewall technology, using the entanglement property of quantum states to build a quantum protection shield against external attacks, real-time monitoring of quantum state anomalies in network traffic, conducting quantum audits on user operation records, and ensuring the integrity of operation records through quantum traceability algorithms.

2. The personalized interaction system for the whole-house customized smart home based on artificial intelligence according to claim 1, wherein Also including: Health monitoring and care module: Integrating quantum-level biosensors in home furnishing devices to detect the changes in bio-quantum states at the human cell level, analyzing and diagnosing health data through quantum medical knowledge graphs and quantum machine learning algorithms, and when detecting abnormalities in user health, using quantum communication technology to send early warnings in a timely manner and providing health suggestions based on quantum medicine; Introduce quantum health risk assessment indicators Among them, R Q is the quantum health risk value, q i is the weight of the i-th quantum health indicator, h i is the degree of abnormality of the i-th quantum health indicator, which helps users understand their own health conditions.

3. The personalized interaction system of the whole-house customized smart home based on artificial intelligence according to claim 1, characterized in that, Also including: Environment Adaptive Module: Install quantum-level temperature and humidity sensors, air quality sensors, and quantum light field sensors to sense minute quantum state changes in the environment. According to environmental quantum data and user personalized preferences, use quantum control technology to automatically adjust the operating status of home appliances, and introduce the quantum environmental comfort index C Q = a × T Q + b × H Q + c × A Q + d × D Q , where T Q is the quantum temperature, H Q is the quantum humidity, A Q is the quantum air quality, L Q is the quantum light intensity, and a, b, c, and d are the corresponding quantum weight coefficients. The system dynamically adjusts the environmental regulation strategy according to the value.

4. The personalized interaction system for whole-house customized smart home based on artificial intelligence according to claim 1, characterized in that, In the multimodal perception module, adopting quantum edge computing technology, completing some quantum data processing and analysis tasks on sensor nodes or edge devices, using the parallel computing ability of quantum bits to reduce data transmission latency. At the same time, introducing gesture recognition and posture analysis technology based on quantum entanglement, and realizing the interaction method by detecting the changes in quantum entanglement states to identify user gesture actions and body postures.

5. The personalized interaction system for whole-house customized smart home based on artificial intelligence according to claim 1, wherein In the user profile construction module, combining the analysis of users' dream data and subconscious signals, collecting the electroencephalogram signals and bioelectric signals in users' dreams through sleep monitoring devices, and analyzing users' subconscious needs using quantum psychology models; At the same time, integrating the quantum relationship graph of users' social networks and analyzing the quantum-level social interaction patterns of users in social networks.

6. The personalized interaction system of the whole-house customized smart home based on artificial intelligence according to claim 1, wherein In the personalized recommendation module, introducing the volume reward mechanism of quantum reinforcement learning, where data volumes represent different recommendation strategies respectively, and realizing strategy optimization through quantum games; Dynamically adjusting the recommendation strategy according to users' feedback on recommended content, considering the quantum synergy effect between different user groups, and improving the overall satisfaction of recommendations.

7. The personalized interaction system for the whole-house customized smart home based on artificial intelligence according to claim 1, wherein In the natural language processing module, cross-dimensional language recognition and interaction are supported. It can not only recognize various languages and dialects on Earth, but also parse and reply to special language encodings that are preset across time, space, and cultures, expanding the application scenarios and interaction boundaries of the system.

8. The personalized interaction system of the whole-house customized smart home based on artificial intelligence according to claim 1, wherein In the control module, device control technology based on quantum fields is introduced. Remote control of home devices is achieved by emitting and receiving quantum field signals without relying on traditional communication protocols. It supports the quantum self-organizing network and automatic discovery functions of devices. When new devices are connected, secure authentication and networking are realized through quantum key exchange.

9. The personalized interaction system of the whole-house customized smart home based on artificial intelligence according to claim 1, wherein In the data storage and management module, quantum key technology is adopted. The characteristics of quantum bits are used to endow nodes with security and computing capabilities, ensuring data traceability. At the same time, through quantum data mining technology, quantum correlation patterns and laws in data are mined to provide support for personalized recommendations and services.

10. The personalized interaction system of the whole-house customized smart home based on artificial intelligence according to claim 1, wherein, The entire system realizes quantum adaptive learning ability. The system automatically adjusts the system architecture, algorithms, and parameters according to the quantum fluctuations of the cosmic environment, the microscopic changes of physical laws, and the expansion of user needs. Through the combination of quantum genetic algorithms and quantum annealing algorithms, the optimization and upgrade of the system are achieved, improving the system performance and adaptability.

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