Light linkage control method in smart home scene
By acquiring user needs and automatically designing scene control strategies, the problem of lack of flexibility and personalization of lighting control in smart home systems is solved, and the intelligent linkage between lighting and other smart devices is realized, which improves the intelligence level of smart home systems.
Patent Information
- Application Number
- CN202411467703.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-21
- Publication Date
- 2025-02-14
AI Technical Summary
In existing smart home systems, lighting control lacks flexibility and personalization, making it difficult to achieve intelligent linkage between lighting and other smart devices.
By obtaining the specific needs of users for smart homes, we automatically design scenario control strategies, including conditional triggering mechanisms and linkage rules, and customize and adjust them according to the scenario control strategy to obtain the final lighting linkage control strategy.
The collaborative work between lighting and other smart devices has been realized, the intelligence level of smart home systems has been improved, and a more convenient, comfortable and personalized living experience is provided to users.
Smart Images

Figure CN119450876A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of lighting linkage control, and in particular to a lighting linkage control method in a smart home scenario. Background Art
[0002] In recent years, with the rapid development of the Internet of Things and artificial intelligence technologies, smart home systems have gradually become an important part of modern families. Smart home systems integrate various smart devices (such as lights, curtains, air conditioners, audio, etc.) to realize intelligent control of the home environment, providing users with a more convenient, comfortable and personalized living experience.
[0003] However, there are still some shortcomings in lighting control in existing smart home systems. Traditional lighting control mainly relies on manual switches or remote controls. This operation method is not only cumbersome, but also difficult to achieve intelligent linkage between lights and other smart devices. Although some smart home systems have introduced lighting linkage control functions, most of them rely on fixed scene settings and predefined rules, lacking flexibility and personalization. Summary of the invention
[0004] In view of this, the present invention proposes a lighting linkage control method in a smart home scenario, which can solve the defects of lack of flexibility and personalization in the prior art.
[0005] The technical solution of the present invention is achieved in this way:
[0006] A lighting linkage control method in a smart home scenario, specifically comprising:
[0007] Obtain users’ specific needs for smart homes;
[0008] Based on the collected user needs, automatically design a scene control strategy, the scene control strategy includes a conditional trigger mechanism and linkage rules;
[0009] Customize and adjust the scene control strategy to obtain the final lighting linkage control strategy, which is used to achieve the coordinated work of lighting and other smart devices;
[0010] Apply the lighting linkage control strategy to the smart home system, and continuously optimize the lighting linkage control strategy through user feedback and technology updates.
[0011] As a further optional solution of the lighting linkage control method in the smart home scene, the scene control strategy is automatically designed based on the collected user needs, specifically including:
[0012] Analyze the collected user needs;
[0013] Based on the results of user demand analysis, define different scenarios in smart homes, each of which includes environmental parameters and device status requirements;
[0014] Design a conditional trigger mechanism for each scenario, which includes time conditions, environmental perception conditions, and user behavior conditions;
[0015] Based on the scene definition and condition trigger mechanism, formulate the linkage rules between lights and other smart devices, which clearly define the specific status and behavior sequence of lights and other smart devices in each scene.
[0016] As a further optional solution of the lighting linkage control method in the smart home scene, the linkage rules between the lighting and other smart devices are formulated based on the scene definition and condition trigger mechanism, specifically including:
[0017] Use graph theory to model the devices in smart homes and clarify the connection and dependency relationships between smart devices;
[0018] Define the linkage logic and priority order between smart devices based on the connection relationship and dependency relationship between smart devices;
[0019] Linkage rules are formulated based on the linkage logic and priority order, scenario definition and conditional trigger mechanism between smart devices.
[0020] As a further optional solution of the lighting linkage control method in the smart home scenario, the use of graph theory to model the devices in the smart home and clarify the connection relationship and dependency relationship between smart devices specifically includes:
[0021] List all smart devices in the smart home and define each smart device as a node in the graph model;
[0022] Analyze the physical and logical connections between smart devices;
[0023] Based on the physical and logical connections between smart devices, define the edges of smart devices in the graph model;
[0024] Analyze dependencies between smart devices;
[0025] Define the edge weights based on the dependencies between smart devices.
[0026] As a further optional solution of the lighting linkage control method in the smart home scene, the custom adjustment is performed according to the scene control strategy to obtain the final lighting linkage control strategy, which specifically includes:
[0027] Real-time preview of scene control strategies;
[0028] The user adjusts the scene control strategy based on the preview results to obtain the final lighting linkage control strategy.
[0029] As a further optional solution of the lighting linkage control method in the smart home scene, the user adjusts the scene control strategy according to the preview result, specifically including:
[0030] Identify the corresponding scene based on the preview result;
[0031] Dynamically allocate corresponding menu items and navigation bars based on the scene recognition results;
[0032] The user adjusts the scene control strategy according to the menu items and the navigation bar.
[0033] As a further optional solution of the lighting linkage control method in the smart home scenario, the lighting linkage control strategy is continuously optimized through user feedback and technical updates, specifically including:
[0034] Collect user feedback on the lighting linkage control strategy;
[0035] Organize the collected user feedback and classify the main needs and problems of users;
[0036] Analyze the technology development trend of smart home;
[0037] According to the main needs, problems and technological trends of users, clarify the technical update and iteration goals of the lighting linkage control strategy.
[0038] A lighting linkage control system in a smart home scenario, comprising:
[0039] The acquisition module is used to obtain the user's specific needs for smart home;
[0040] An automatic design module, used to automatically design a scenario control strategy based on collected user needs, wherein the scenario control strategy includes a conditional trigger mechanism and linkage rules;
[0041] A custom adjustment module is used to perform custom adjustments based on the scene control strategy to obtain a final lighting linkage control strategy, wherein the lighting linkage control strategy is used to achieve collaborative work between lighting and other smart devices;
[0042] The update module is used to apply the lighting linkage control strategy to the smart home system and continuously optimize the lighting linkage control strategy through user feedback and technical updates.
[0043] A computing device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the lighting linkage control method in the above-mentioned smart home scenario are implemented.
[0044] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the lighting linkage control method in the above-mentioned smart home scenario.
[0045] The beneficial effects of the present invention are as follows: by obtaining the specific needs of users for smart homes, a basis is provided for the subsequent design of lighting linkage control strategies, which ensures that the lighting linkage control strategies can closely fit the actual usage scenarios and preferences of users, thereby meeting the personalized needs of users. Based on the collected user needs, the technical solution can automatically design scene control strategies, including conditional trigger mechanisms and linkage rules. This automated process not only improves the design efficiency, but also ensures the consistency and accuracy of the strategies. Through the conditional trigger mechanism, the lighting linkage control strategy can be automatically executed under specific conditions, such as time, ambient light, human activities, etc., thereby realizing intelligent lighting control. Custom adjustments are made according to the scene control strategy to obtain the final lighting linkage control strategy. This process gives users great flexibility. Active and customizable, users can fine-tune the lighting linkage control strategy according to their preferences and actual needs to achieve a smart home scene that better suits personal needs. The lighting linkage control strategy not only focuses on the control of the light itself, but also realizes the collaborative work of the light and other smart devices. This collaborative work can enhance the intelligence level of the entire smart home system and bring users a more convenient, comfortable and energy-saving living experience. The importance of continuously optimizing the lighting linkage control strategy through user feedback and technological updates means that with the continuous development of user use and technology, the lighting linkage control strategy can be continuously improved and perfected, thereby continuously improving the user experience. This continuous optimization mechanism ensures that the smart home system can always stay at the forefront of the industry and provide users with the latest and highest quality smart services. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0047] Figure 1 A schematic diagram of a flow chart of a lighting linkage control method in a smart home scenario according to the present invention;
[0048] Figure 2 The present invention is a schematic diagram of the composition of a lighting linkage control system in a smart home scenario. DETAILED DESCRIPTION
[0049] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0050] refer to Figure 1 to Figure 2 , a lighting linkage control method in a smart home scene, specifically comprising:
[0051] Obtain users’ specific needs for smart homes;
[0052] Based on the collected user needs, automatically design a scene control strategy, the scene control strategy includes a conditional trigger mechanism and linkage rules;
[0053] Customize and adjust the scene control strategy to obtain the final lighting linkage control strategy, which is used to achieve the coordinated work of lighting and other smart devices;
[0054] Apply the lighting linkage control strategy to the smart home system, and continuously optimize the lighting linkage control strategy through user feedback and technology updates.
[0055] In this embodiment, by obtaining the user's specific needs for smart home, a basis is provided for the subsequent design of lighting linkage control strategy, which ensures that the lighting linkage control strategy can closely fit the user's actual usage scenarios and preferences, thereby meeting the user's personalized needs. Based on the collected user needs, the technical solution can automatically design scene control strategies, including conditional trigger mechanisms and linkage rules. This automated process not only improves the design efficiency, but also ensures the consistency and accuracy of the strategy. Through the conditional trigger mechanism, the lighting linkage control strategy can be automatically executed under specific conditions, such as time, ambient light, personnel activities, etc., thereby realizing intelligent lighting control. Custom adjustments are made according to the scene control strategy to obtain the final lighting linkage control strategy. This process gives users great flexibility. With its flexibility and customizability, users can fine-tune the lighting linkage control strategy according to their preferences and actual needs to achieve a smart home scene that is more in line with their personal needs. The lighting linkage control strategy not only focuses on the control of the light itself, but also realizes the collaborative work of the light with other smart devices. This collaborative work can enhance the intelligence level of the entire smart home system and bring users a more convenient, comfortable and energy-saving living experience. The importance of continuously optimizing the lighting linkage control strategy through user feedback and technological updates means that with the continuous development of user use and technology, the lighting linkage control strategy can be continuously improved and perfected, thereby continuously improving the user experience. This continuous optimization mechanism ensures that the smart home system can always stay at the forefront of the industry and provide users with the latest and highest-quality smart services.
[0056] It should be noted that.
[0057] Preferably, the automatic design of a scene control strategy based on the collected user needs specifically includes:
[0058] Analyze the collected user needs;
[0059] Based on the results of user demand analysis, define different scenarios in smart homes, each of which includes environmental parameters and device status requirements;
[0060] Design a conditional trigger mechanism for each scenario, which includes time conditions, environmental perception conditions, and user behavior conditions;
[0061] Based on the scene definition and condition trigger mechanism, formulate the linkage rules between lights and other smart devices, which clearly define the specific status and behavior sequence of lights and other smart devices in each scene.
[0062] In this embodiment, by carefully analyzing the collected user needs, the technical solution can accurately capture the user's specific expectations and preferences for smart homes. This precise analysis provides a solid foundation for the subsequent scene definition and conditional trigger mechanism design, ensuring that the lighting linkage control strategy can truly meet the user's actual needs; according to the results of the user demand analysis, different scenes in the smart home are defined, such as waking up scene, leaving home scene, returning home scene, etc. Each scene contains specific environmental parameters and device status requirements. This scene definition not only provides users with a more intuitive and easy-to-understand smart home operation interface, but also enables the lighting linkage control strategy to automatically adjust according to different scenes, providing users with a personalized living experience; designing a conditional trigger mechanism for each scene is one of the core of the technical solution. The conditional trigger mechanism includes time conditions, environmental perception conditions and user behavior conditions. These conditions The components can be flexibly combined to form a variety of triggering methods. For example, the time condition can set the light switching time according to the user's living habits. The environmental perception condition can automatically adjust the light brightness according to environmental parameters such as light intensity and temperature. The user behavior condition can trigger the corresponding light linkage according to the user's actions or instructions. This intelligent conditional triggering mechanism makes the light linkage control strategy more flexible and efficient; based on the scene definition and conditional triggering mechanism, formulating the linkage rules between lights and other smart devices is another highlight of this technical solution. The linkage rules clarify the specific status and behavior sequence of lights and other smart devices in each scene. For example, when the user enters the house, the lights automatically turn on, the curtains automatically open, and the air conditioner automatically adjusts to a suitable temperature. This coordinated linkage rule not only improves the overall intelligence level of the smart home system, but also brings users a more convenient and comfortable life experience.
[0063] Preferably, the linkage rules between the lighting and other smart devices are formulated based on the scene definition and condition trigger mechanism, specifically including:
[0064] Use graph theory to model the devices in smart homes and clarify the connection and dependency relationships between smart devices;
[0065] Define the linkage logic and priority order between smart devices based on the connection relationship and dependency relationship between smart devices;
[0066] Linkage rules are formulated based on the linkage logic and priority order, scenario definition and conditional trigger mechanism between smart devices.
[0067] In this embodiment, graph theory is used to model the devices in the smart home, which can clearly show the connection relationship and dependency relationship between the devices. This modeling method makes the complex relationship between the devices intuitively presented, and provides strong support for the subsequent formulation of linkage rules. Through modeling, it can be clarified which devices have linkage relationships with lights, as well as the role and priority of these devices in the linkage process, which helps to achieve precise control in practical applications and avoid conflicts and interference between devices. Based on the connection relationship and dependency relationship between devices, the linkage logic between smart devices is defined, which enables lights and other smart devices to work together according to preset logic in specific scenarios to achieve intelligent control. Defining the priority order between devices helps to control in an orderly manner according to priority when multiple devices need to respond at the same time, which can ensure the normal operation of key devices and improve the overall stability and reliability of the system. Based on the linkage logic and priority order between devices, scene definition and conditional trigger mechanism, precise linkage is formulated. Rules, which can ensure that lights and other smart devices are linked in a preset manner under specific conditions to achieve intelligent control; by formulating precise linkage rules, the user's living experience can be significantly improved. For example, in the movie-watching scene, the lights can be automatically dimmed and the curtains can be automatically closed to create a comfortable viewing environment for users. This intelligent control method not only improves the convenience of life, but also enhances the user's comfort and satisfaction; precise linkage rules can also help achieve energy conservation and environmental protection. For example, in the away-from-home scene, lights and other smart devices can be automatically turned off to avoid unnecessary energy consumption, which not only helps to reduce household energy consumption, but also helps to protect the environment and achieve sustainable development; the use of graph theory for device modeling and relationship analysis makes the system easy to expand and maintain. With the continuous increase and update of smart home devices, new devices can be easily incorporated into the system and the linkage rules can be adjusted according to actual needs, which helps to maintain the flexibility and scalability of the system and meet the ever-changing needs of users.
[0068] Preferably, the use of graph theory to model the devices in the smart home and clarify the connection relationship and dependency relationship between the smart devices specifically includes:
[0069] List all smart devices in the smart home and define each smart device as a node in the graph model;
[0070] Analyze the physical and logical connections between smart devices;
[0071] Based on the physical and logical connections between smart devices, define the edges of smart devices in the graph model;
[0072] Analyze dependencies between smart devices;
[0073] Define the edge weights based on the dependencies between smart devices.
[0074] In this embodiment, all smart devices in the smart home are first listed and defined as a node in the graph model. This step allows each device in the system to be clearly identified, providing a basis for subsequent analysis and control. Through the graph model, smart devices are presented in the form of nodes, which helps to intuitively display the relationship and layout between devices, which is of great significance for system design and optimization because it allows designers to clearly see the various components in the system and understand the interactions between them. The technical solution analyzes the physical connections (such as cable connections, wireless signal connections, etc.) and logical connections (such as data communication, control signal transmission, etc.) between smart devices. This analysis helps to identify the actual connection mode and signal transmission path between devices. Based on the physical connection and logical connection, the technical solution defines the edges between smart devices in the graph model. These edges represent the connection relationship and signal transmission path between devices, which are important bases for the subsequent formulation of linkage rules and intelligent control. The dependency relationship between smart devices is deeply analyzed, including direct dependency and indirect dependency. Direct dependency refers to the direct physical or logical connection relationship between devices, and indirect dependency refers to the connection relationship between devices through other devices or systems. The connection relationship formed is based on the dependency relationship. The technical solution defines the weight of the edge in the graph theory model. The size of the weight reflects the strength and importance of the dependency relationship between devices. This quantitative representation helps to prioritize and allocate resources according to the dependency relationship between devices in the subsequent control and optimization process; by clarifying the connection relationship and dependency relationship between devices, the technical solution provides strong support for the intelligent control and optimization of smart home systems. For example, when formulating linkage rules, the trigger conditions and execution order can be determined according to the connection relationship and dependency relationship between devices, so as to achieve more accurate and efficient control; clear connection relationships and dependencies help identify potential problems and risk points in the system. By monitoring and analyzing these relationships, problems such as device failures or communication anomalies can be discovered and handled in a timely manner, thereby improving the reliability and stability of the system; the quantitatively represented dependency relationship provides a basis for resource allocation and load balancing. In the smart home system, different devices may require different resources and processing capabilities. By allocating resources and load balancing according to the dependency relationship between devices, it can be ensured that each device in the system can obtain sufficient resources and processing capabilities, thereby achieving more balanced and efficient operation.
[0075] Preferably, the customized adjustment is performed according to the scene control strategy to obtain the final lighting linkage control strategy, which specifically includes:
[0076] Real-time preview of scene control strategies;
[0077] The user adjusts the scene control strategy based on the preview results to obtain the final lighting linkage control strategy.
[0078] In this embodiment, the real-time preview function enables users to intuitively see the actual effect of the scene control strategy in the smart home. This intuitiveness helps users better understand how the strategy works and how it affects the linkage of lights and other smart devices. Through the preview, users can evaluate the effect of the strategy before actually applying it, which provides users with valuable decision-making support, enabling them to fine-tune the strategy according to actual needs to ensure that the final light linkage control strategy meets expectations. The real-time preview reduces potential problems caused by misunderstanding or misconfiguration of the strategy. Users can discover and correct errors during the preview process to avoid problems in actual application; the user adjustment function allows users to personalize the scene control strategy according to personal preferences and needs, which ensures that the final light linkage control strategy can fully meet user expectations and provide a customized smart home experience. By allowing users to participate in the strategy adjustment process, the technical solution improves user satisfaction. Users feel that they have the right to control the behavior of the smart home, which enhances their sense of participation and belonging.
[0079] Preferably, the user adjusts the scene control strategy according to the preview result, specifically including:
[0080] Identify the corresponding scene based on the preview result;
[0081] Dynamically allocate corresponding menu items and navigation bars based on the scene recognition results;
[0082] The user adjusts the scene control strategy according to the menu items and the navigation bar.
[0083] In this embodiment, the scene can be quickly identified through the preview results, and the system can dynamically display menu items and navigation bars related to the current scene to the user. This dynamic allocation method reduces the time cost of users in finding and adjusting strategies and improves the convenience of operation. For different scenarios, the menu items and navigation bars provided by the system may be different. This personalized display method enables users to understand the control options in each scene more intuitively, thereby enhancing the user's personalized experience. The dynamically allocated menu items and navigation bars only display content related to the current scene, avoiding the interference of redundant information, which reduces the complexity of user operations and makes the adjustment process more intuitive and efficient. Users can accurately adjust the scene control strategy based on the functions provided by the menu items and navigation bars. This adjustment method ensures that the strategy can fully meet the needs and expectations of users. Users are allowed to adjust the control strategy according to actual needs, which improves the flexibility of the strategy, which helps to cope with changing needs in different scenarios and ensures that the smart home system can always provide the best service to users; users participate in the strategy adjustment process, which enables them to have a deeper understanding of the working principle and configuration method of the smart home system, which enhances the user's sense of participation and belonging and improves their satisfaction with the system; scene recognition, dynamic allocation of menu items and navigation bars, and user adjustment strategy functions jointly optimize the user experience of the smart home system, and users can understand and operate the system more easily and enjoy more intelligent and personalized services; through dynamic allocation and adjustment of strategies, the smart home system can better adapt to the needs of different scenarios, which improves the intelligence level of the system and enables it to better provide intelligent services to users.
[0084] Preferably, the continuous optimization of the lighting linkage control strategy through user feedback and technical updates specifically includes:
[0085] Collect user feedback on the lighting linkage control strategy;
[0086] Organize the collected user feedback and classify the main needs and problems of users;
[0087] Analyze the technology development trend of smart home;
[0088] According to the main needs, problems and technological trends of users, clarify the technical update and iteration goals of the lighting linkage control strategy.
[0089] In this embodiment, by collecting user feedback on the use of the lighting linkage control strategy, the actual needs of users can be accurately captured, including functional requirements, performance requirements, ease of use requirements, etc., which helps to ensure that subsequent technical updates can truly solve user problems and improve user experience; sorting out the collected user feedback and classifying and summarizing the main problems and needs of users can help enterprises quickly identify and solve potential problems in the system, which can not only improve the stability and reliability of the system, but also enhance users' trust in the smart home system; the analysis results of technical trends can provide guidance for the technical update of the lighting linkage control strategy, and the direction and focus of the technical update can be determined according to the technical trends to ensure that the system update can meet the requirements of industry development and meet user expectations; according to the main needs, problems and technical trends of users, clarifying the technical update and iteration goals of the lighting linkage control strategy can help focus on solving key problems and improve the efficiency and quality of technical updates; clear technical update goals can ensure that every update of the system can bring substantial improvements, thereby continuously optimizing the user experience, which helps to improve user satisfaction and loyalty to the smart home system.
[0090] A lighting linkage control system in a smart home scenario, comprising:
[0091] The acquisition module is used to obtain the user's specific needs for smart home;
[0092] An automatic design module, used to automatically design a scenario control strategy based on collected user needs, wherein the scenario control strategy includes a conditional trigger mechanism and linkage rules;
[0093] A custom adjustment module is used to perform custom adjustments based on the scene control strategy to obtain a final lighting linkage control strategy, wherein the lighting linkage control strategy is used to achieve collaborative work between lighting and other smart devices;
[0094] The update module is used to apply the lighting linkage control strategy to the smart home system and continuously optimize the lighting linkage control strategy through user feedback and technical updates.
[0095] A computing device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the lighting linkage control method in the above-mentioned smart home scenario are implemented.
[0096] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the lighting linkage control method in the above-mentioned smart home scenario.
[0097] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A lighting linkage control method in a smart home scenario, characterized in that: Specifically include: Obtain users’ specific needs for smart homes; Based on the collected user needs, automatically design a scene control strategy, the scene control strategy includes a conditional trigger mechanism and linkage rules; Customize and adjust the scene control strategy to obtain the final lighting linkage control strategy, which is used to achieve the coordinated work of lighting and other smart devices; Apply the lighting linkage control strategy to the smart home system, and continuously optimize the lighting linkage control strategy through user feedback and technology updates.
2. The lighting linkage control method in a smart home scenario according to claim 1 is characterized in that: The automatic design of the scene control strategy based on the collected user needs specifically includes: Analyze the collected user needs; Based on the results of user demand analysis, define different scenarios in smart homes, each of which includes environmental parameters and device status requirements; Design a conditional trigger mechanism for each scenario, which includes time conditions, environmental perception conditions, and user behavior conditions; Based on the scene definition and condition trigger mechanism, formulate the linkage rules between lights and other smart devices, which clearly define the specific status and behavior sequence of lights and other smart devices in each scene.
3. The lighting linkage control method in a smart home scenario according to claim 2 is characterized in that: The linkage rules between lighting and other smart devices are formulated based on the scene definition and condition trigger mechanism, including: Use graph theory to model the devices in smart homes and clarify the connection and dependency relationships between smart devices; Define the linkage logic and priority order between smart devices based on the connection relationship and dependency relationship between smart devices; Linkage rules are formulated based on the linkage logic and priority order, scenario definition and conditional trigger mechanism between smart devices.
4. The lighting linkage control method in a smart home scenario according to claim 3 is characterized in that: The use of graph theory to model the devices in the smart home and clarify the connection relationship and dependency relationship between smart devices specifically includes: List all smart devices in the smart home and define each smart device as a node in the graph model; Analyze the physical and logical connections between smart devices; Based on the physical and logical connections between smart devices, define the edges of smart devices in the graph model; Analyze dependencies between smart devices; Define the edge weights based on the dependencies between smart devices.
5. The lighting linkage control method in a smart home scenario according to claim 4 is characterized in that: The customized adjustment is performed according to the scene control strategy to obtain the final lighting linkage control strategy, which specifically includes: Real-time preview of scene control strategies; The user adjusts the scene control strategy based on the preview results to obtain the final lighting linkage control strategy.
6. The lighting linkage control method in a smart home scenario according to claim 5 is characterized in that: The user adjusts the scene control strategy according to the preview result, specifically including: Identify the corresponding scene based on the preview result; Dynamically allocate corresponding menu items and navigation bars based on the scene recognition results; The user adjusts the scene control strategy according to the menu items and the navigation bar.
7. The lighting linkage control method in a smart home scenario according to claim 6 is characterized in that: The continuous optimization of lighting linkage control strategy through user feedback and technical updates specifically includes: Collect user feedback on the lighting linkage control strategy; Organize the collected user feedback and classify the main needs and problems of users; Analyze the technology development trend of smart home; According to the main needs, problems and technological trends of users, clarify the technical update and iteration goals of the lighting linkage control strategy.
8. A lighting linkage control system in a smart home scenario, characterized in that: include: The acquisition module is used to obtain the user's specific needs for smart home; An automatic design module, used to automatically design a scenario control strategy based on collected user needs, wherein the scenario control strategy includes a conditional trigger mechanism and linkage rules; A custom adjustment module is used to perform custom adjustments based on the scene control strategy to obtain a final lighting linkage control strategy, wherein the lighting linkage control strategy is used to achieve collaborative work between lighting and other smart devices; The update module is used to apply the lighting linkage control strategy to the smart home system and continuously optimize the lighting linkage control strategy through user feedback and technical updates.
9. A computing device, characterized in that The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the lighting linkage control method in the smart home scene described in any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the steps of the lighting linkage control method in a smart home scenario as described in any one of claims 1 to 7.