Smart home migration method based on space mapping algorithm and user identity migration

Abstract

The invention discloses a smart home migration method based on a space mapping algorithm and user identity migration, and the method comprises the following steps: S1, enabling a user to package old residence data through a process triggered by a'preparation to move 'entrance on a smart home App or a central control screen; and S2, uploading the packed old residence data in the S1 to a cloud server for temporary storage, and carrying out analysis and structured storage on the data by the cloud server so as to prepare for subsequent intelligent deployment. By introducing a smart home moving mode based on a space mapping algorithm and user digital identity migration, one-key, intelligent, safe and lossless cross-region migration of a user personalized smart home environment is realized, the convenience, experience continuity and data security in the moving process are remarkably improved, meanwhile, cross-brand equipment compatibility is supported, and the user experience is improved. The smart home ecological island is effectively broken, and interconnection and intercommunication of the whole industry are promoted.

Description

Technical Field

[0001] This invention relates to the field of smart home migration technology, and in particular to a smart home migration method based on spatial mapping algorithms and user identity migration. Background Technology

[0002] With the popularization of IoT technology, smart home systems have gradually entered thousands of households. Users usually have multiple brands of smart devices deployed in their homes, such as smart lights, air conditioners, curtains, security sensors, etc., and they are centrally controlled through a unified smart home app or a central control screen deployed in the home. Users usually spend a lot of time setting up complex automated scenes (such as "home mode", "leisure mode" and "sleep mode") and device linkage rules according to their personal living habits in order to improve the comfort and convenience of their living experience. However, when users need to move to a new home or business travelers check into a smart hotel again, existing smart home systems cannot effectively migrate users' personalized settings and device control logic. This requires spending a lot of time reconfiguring devices, scenes, and related interactions, resulting in an unsatisfactory user experience. In view of the above, this application proposes a smart home migration method based on spatial mapping algorithm and user identity migration. Summary of the Invention

[0003] Based on the technical problems existing in the background technology, this invention proposes a smart home migration method based on spatial mapping algorithm and user identity migration.

[0004] The smart home migration method proposed in this invention, based on spatial mapping algorithm and user identity migration, includes the following steps: S1: Users can trigger the process by entering the "Prepare to Move" entry on the smart home app or the central control screen to package the data of their old home. S2: Upload the old residence data packaged in S1 to the cloud server for temporary storage. The cloud server analyzes and stores the data in a structured manner to prepare for the next intelligent deployment. S3: Users open the App or central control screen in their new home to obtain the data from their old home temporarily stored in S2, and enter the "New Home Deployment" mode to apply the old home data to the corresponding devices in their new home.

[0005] Preferably, the logical steps for packaging the old residence data in step S1 are as follows: S101: Triggering and Scanning: Users trigger the process through the "Prepare to Move" entry on the smart home app or central control screen. The system automatically scans and lists all online and offline devices under the current account, and generates a detailed device list and scene list. S102: The system will package housing data using a hierarchical strategy; S103: The system prompts the user to confirm the move-out time and can automatically perform the permission removal operation after the move-out. After the move-out is confirmed, the permission is removed and a completion confirmation is sent to the user, and the "Prepare to Move" entry is terminated.

[0006] Preferably, in S102, the data classification strategy includes transferable data and local sensitive data. Transferable data includes personalized settings of the device, automated scene logic, scheduled tasks, room names, and floor plans of the old residence. This data will be uploaded to the cloud server. Local sensitive data includes Wi-Fi passwords, biometric information of family members, and real-time alarm records of security devices. Local sensitive data will never be uploaded and will only prompt the user to handle it locally.

[0007] Preferably, the specific process of the "new home deployment" mode in S3 includes the following steps: S301: The system automatically scans the local area network, discovers new smart devices, and manually prompts the user to upload floor plans of the old and new residences for analysis. S302: Constructing a new residential space model based on information and analysis of automatically scanned structures; S303: Based on the new home space model and old home data package built in S302, the core intelligent processing is carried out through the spatial mapping algorithm, and attempts to apply the device settings and scene rules of the old home to the corresponding devices in the new home. S304: Visual preview of new home deployment data, allowing users to fine-tune and confirm based on the visualized content; S305: If the user agrees to deploy the data in the new home, the application settings are deployed; otherwise, the user needs to fine-tune them.

[0008] Preferably, in step S301, the uploaded floor plan can be either a CAD drawing or a photograph.

[0009] Preferably, in step S303, during intelligent processing, the system matches the room structure of the old residence with the floor plan of the new residence based on spatial functional semantics, physical attributes, and cross-brand devices. The spatial mapping algorithm has parameter adaptive capability. During physical attribute matching, the system automatically calculates and adjusts the device operating parameters according to the device configuration information of the old and new homes. When performing cross-brand device matching, the system will retain compatible devices of the same type from different brands.

[0010] Compared with existing technologies, the beneficial effects of this invention are: This invention introduces a smart home relocation mode based on spatial mapping algorithms and user digital identity migration, enabling users to migrate their personalized smart home environments across regions in a one-click, intelligent, safe, and lossless manner. This significantly improves the convenience, consistency of experience, and data security during the relocation process. It also supports cross-brand device compatibility, effectively breaking down the silos in the smart home ecosystem and promoting interconnectivity across the entire industry. Attached Figure Description

[0011] Figure 1 This is a flowchart illustrating the packaging of old home data in the smart home migration method based on spatial mapping algorithm and user identity migration proposed in this invention. Figure 2 This is a flowchart illustrating the process of a user obtaining data packets from their old home in the smart home migration method based on spatial mapping algorithm and user identity migration proposed in this invention. Figure 3 This is a flowchart of the new home deployment mode in the smart home migration method based on spatial mapping algorithm and user identity migration proposed in this invention. Detailed Implementation

[0012] The present invention will be further explained below with reference to specific embodiments. Example

[0013] Reference Figure 1-3 This embodiment proposes a smart home migration method based on spatial mapping algorithm and user identity migration, including the following steps: S1: Users can trigger the process by entering the "Prepare to Move" entry on the smart home app or the central control screen to package the data of their old home. The logical steps for packaging old residence data are as follows: S101: Triggering and Scanning: Users trigger the process through the "Prepare to Move" entry on the smart home app or central control screen. The system automatically scans and lists all online and offline devices under the current account, and generates a detailed device list and scene list. S102: The system will package housing data using a hierarchical strategy; The data classification strategy includes transferable data and local sensitive data. Transferable data includes personalized settings of devices, automated scene logic, scheduled tasks, room names, and floor plans of old residences. This data will be uploaded to the cloud server. Local sensitive data includes Wi-Fi passwords, biometric information of family members, and real-time alarm records of security devices. Local sensitive data will never be uploaded and will only prompt users to handle it locally. S103: The system prompts the user to confirm the move-out time and can automatically perform the permission removal operation after the move-out. After the move-out is confirmed, the permission is removed and a completion confirmation is sent to the user, and the "Prepare to Move" entry is closed. S2: Upload the old residence data packaged in S1 to the cloud server for temporary storage. The cloud server analyzes and stores the data in a structured manner to prepare for the next intelligent deployment. S3: Users open the App or central control screen in their new home to obtain the data from the old home temporarily stored in S2, and enter the "New Home Deployment" mode to apply the old home data to the corresponding devices in the new home. The specific process for the "New Home Deployment" mode includes the following steps: S301: The system automatically scans the local area network, discovers new smart devices, and manually prompts the user to upload floor plans of the old and new residences for analysis. The uploaded floor plans can be either CAD drawings or images. S302: Constructing a new residential space model based on information and analysis of automatically scanned structures; S303: Based on the new home space model and old home data package built in S302, the core intelligent processing is carried out through the spatial mapping algorithm, and attempts to apply the device settings and scene rules of the old home to the corresponding devices in the new home. In the intelligent processing stage, the system matches the room structure of the old residence with the floor plan of the new residence based on spatial functional semantics, physical attributes, and cross-brand devices. In the spatial functional semantic matching stage, the spatial mapping algorithm identifies the "living room" of the old residence and the "living room" of the new residence as corresponding areas, so that they can be matched correctly. The spatial mapping algorithm has parameter adaptive capabilities. When matching physical attributes, the system automatically calculates and adjusts the operating parameters of the devices (such as brightness, temperature, wind speed, and music volume) based on the equipment configuration information of the old and new homes to maintain a consistent user experience. This achieves a true migration of the experience. For example, if the old living room has a 30W light fixture set to 80% brightness, and the new living room has a 50W light fixture, the system will automatically calculate the luminous flux ratio and adjust the brightness of the new light to approximately 48% ((30*0.8) / 50 ≈0.48) to maintain a similar lighting experience. The music volume will also be proportionally increased or decreased based on the area and the corresponding changes in the floor plan (from 20㎡ to 25㎡), among other intelligent adaptation operations. When performing cross-brand device matching, the system will retain compatibility for the same type of device from different brands (e.g., switching from a brand A air conditioner to a brand B air conditioner); S304: Visual preview of new home deployment data, allowing users to fine-tune and confirm based on the visualized content; S305: If the user agrees to deploy the data in the new home, the application settings are deployed; otherwise, the user needs to fine-tune the settings. This embodiment introduces a smart home migration mode based on spatial mapping algorithms and user digital identity migration, enabling users to migrate their personalized smart home environment across regions in a one-click, intelligent, safe and lossless manner. It significantly improves the convenience, experience continuity and data security during the migration process, while supporting cross-brand device compatibility, effectively breaking down the silos of the smart home ecosystem and promoting overall industry interconnection.

[0014] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A smart home migration method based on spatial mapping algorithm and user identity migration, characterized in that, Includes the following steps: S1: Users trigger the process through the "Prepare to Move" entry on the smart home app or central control screen to package the data of their old home; S2: Upload the old residence data packaged in S1 to the cloud server for temporary storage. The cloud server analyzes and stores the data in a structured manner to prepare for the next intelligent deployment. S3: Users can open the App or central control screen in their new home to obtain the data from their old home temporarily stored in S2, and then enter the "New Home Deployment" mode to apply the old home data to the corresponding devices in their new home.

2. The smart home migration method based on spatial mapping algorithm and user identity migration according to claim 1, characterized in that, In step S1, the logical steps for packaging the old residence data are as follows: S101: Triggering and Scanning: Users trigger the process through the "Prepare to Move" entry on the smart home app or central control screen. The system automatically scans and lists all online and offline devices under the current account, and generates a detailed device list and scene list. S102: The system will package housing data using a hierarchical strategy; S103: The system prompts the user to confirm the move-out time and can automatically perform the permission removal operation after the move-out. After the move-out is confirmed, the permission is removed and a completion confirmation is sent to the user, and the "Prepare to Move" entry is terminated.

3. The smart home migration method based on spatial mapping algorithm and user identity migration according to claim 2, characterized in that, In S102, the data classification strategy includes transferable data and local sensitive data. Transferable data includes personalized settings of the device, automated scene logic, scheduled tasks, room names, and floor plans of the old residence. This data will be uploaded to the cloud server. Local sensitive data includes Wi-Fi passwords, biometric information of family members, and real-time alarm records of security devices. Local sensitive data will never be uploaded and will only prompt the user to handle it locally.

4. The smart home migration method based on spatial mapping algorithm and user identity migration according to claim 1, characterized in that, In S3, the specific process of the "New Home Deployment" mode includes the following steps: S301: The system automatically scans the local area network, discovers new smart devices, and manually prompts the user to upload floor plans of the old and new residences for analysis. S302: Constructing a new residential space model based on information and analysis of automatically scanned structures; S303: Based on the new home space model and old home data package built in S302, the core intelligent processing is carried out through the spatial mapping algorithm, and attempts to apply the device settings and scene rules of the old home to the corresponding devices in the new home. S304: Visual preview of new home deployment data, allowing users to fine-tune and confirm based on the visualized content; S305: If the user agrees to deploy the data in the new home, the application settings are deployed; otherwise, the user needs to fine-tune them.

5. The smart home migration method based on spatial mapping algorithm and user identity migration according to claim 4, characterized in that, In S301, the uploaded floor plan can be either CAD or a picture.

6. The smart home migration method based on spatial mapping algorithm and user identity migration according to claim 4, characterized in that, In S303, during intelligent processing, the system matches the room structure of the old residence with the floor plan of the new residence based on spatial functional semantics, physical attributes, and cross-brand devices. The spatial mapping algorithm has parameter adaptive capability. During physical attribute matching, the system automatically calculates and adjusts the device operating parameters according to the device configuration information of the old and new homes. When performing cross-brand device matching, the system will retain compatible devices of the same type from different brands.

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