Smart home equipment compatible method based on edge computing technology

Abstract

The invention discloses a smart home device compatibility method based on an edge computing technology, and the method achieves the localization processing and analysis of smart home devices through the introduction of the edge computing technology, improves the compatibility between devices, reduces the network delay, and improves the user experience. The method has the advantages of low delay, high security, strong compatibility, optimized utilization of energy and resources, personalized and intelligent control, flow pressure relief and the like, has a wide application prospect in the field of smart home, and provides more convenient, efficient and secure smart home experience for users.

Description

Technical Field

[0001] This invention relates to the field of smart homes, specifically to a method for ensuring compatibility of smart home devices based on edge computing technology. Background Technology

[0002] With the rapid development of IoT technology, smart homes have become an important part of family life. However, due to the different communication protocols and data formats used by smart home devices from different brands, interoperability between devices has become a major challenge. Traditional smart home systems mostly rely on cloud servers for data processing and control. This approach not only suffers from network latency issues, but also increases the risk of data leakage due to the large amount of data transmitted to the cloud. Summary of the Invention

[0003] Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a smart home device compatibility method based on edge computing technology.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a smart home device compatibility method based on edge computing technology. By introducing edge computing technology, the method enables localized processing and analysis of smart home devices, improves compatibility between devices, reduces network latency, and enhances user experience. Specifically, it includes the following technical contents: The first step is to initialize the edge computing device; The second step is to connect smart home devices; The third step involves edge computing devices performing device identification. The fourth step is to query the equipment information database; Step 5: Protocol conversion and compatibility handling; Step 6: Localized data processing and analysis; Step 7: Generate personalized control strategies; Step 8: Edge computing devices automatically adjust smart home devices; Step nine: Continuously monitor equipment status and data changes.

[0005] Furthermore, an improvement of the present invention includes a smart home device compatibility method based on edge computing technology, specifically comprising the following parts: Part 1: Building an Edge Computing Platform; Part Two: Data Processing and Protocol Conversion; Part Three: Equipment Connection and Management; Part Four: Unified Communication Standards and Interfaces; Part Five: Central Control Devices and User Experience; Furthermore, an improvement of the present invention includes a smart home device compatibility method based on edge computing technology, comprising hardware configuration and software process.

[0006] Furthermore, an improvement of the present invention is that the hardware configuration includes an edge computing device, which includes a processor, a memory, and a network interface.

[0007] Furthermore, improvements to the present invention include that the software process includes a device access and identification module, a protocol conversion and compatibility processing module, a data localization processing module, and a personalized control strategy generation module.

[0008] Compared with existing technologies, this invention provides a smart home device compatibility method based on edge computing technology, which has the following beneficial effects: This smart home device compatibility method based on edge computing technology boasts advantages such as low latency, high security, strong compatibility, optimized energy and resource utilization, personalized and intelligent control, and reduced traffic pressure. These advantages make this method widely applicable in the smart home field and provide users with a more convenient, efficient, and secure smart home experience. Attached Figure Description

[0009] Figure 1 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0010] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0011] Please see Figure 1 A smart home device compatibility method based on edge computing technology is proposed. By introducing edge computing technology, the method enables localized processing and analysis of smart home devices, improves device compatibility, reduces network latency, and enhances user experience. Specifically, it includes the following technical aspects: The first step is to initialize the edge computing device. This is the starting point of the entire workflow. The smart home system is started, and at the same time, the edge computing device is also initialized to prepare for subsequent device access and data processing. The second step is to connect smart home devices. Users connect their smart home devices to the system. These devices may be from different brands and use different protocols, requiring compatibility handling through edge computing devices. The third step involves edge computing devices performing device identification. This is done by automatically identifying the device by reading its unique identifier (such as MAC address and serial number). This is a crucial step in achieving device compatibility, providing a foundation for subsequent data processing and control. The fourth step involves querying the device information database to obtain detailed device information. After identifying the device, the edge computing device will query the pre-set device information database to obtain detailed information such as the device's brand, model, and communication protocol. This information is crucial for subsequent protocol conversion and compatibility processing. The fifth step is protocol conversion and compatibility processing. Based on the information obtained from the device information database, the edge computing device will perform protocol conversion for smart home devices of different brands and protocols to ensure that they can work normally in the same system and achieve interconnection between devices. The sixth step involves localized data processing and analysis. Edge computing devices process and analyze data generated by smart home devices in real time, including data collection, storage, filtering, and pattern recognition. Localized processing reduces latency in data transmission to the cloud, improving system response speed. The seventh step involves generating personalized control strategies. Based on user habits and environmental parameters (such as temperature, humidity, and light), edge computing devices generate personalized control strategies. These strategies can automatically adjust the working modes and parameters of smart home devices, providing a more intelligent and comfortable living environment. Step 8: The edge computing device automatically adjusts the smart home devices. Based on the generated personalized control strategy, the edge computing device sends control commands to the smart home devices, automatically adjusting their working modes and parameters. For example, it automatically adjusts the air conditioner temperature setting based on the indoor temperature, and automatically adjusts the brightness of indoor lights based on outdoor light. The ninth step involves continuously monitoring device status and data changes. The entire workflow is a continuous process, with edge computing devices constantly monitoring the status and data changes of smart home devices. This helps to promptly detect device malfunctions or anomalies and take appropriate action.

[0012] A smart home device compatibility method based on edge computing technology specifically includes the following parts: Part 1: Building an Edge Computing Platform. This involves deploying an edge computing platform at the edge of the smart home system, such as in devices like home gateways or smart routers. This platform possesses powerful data processing, protocol conversion, and communication capabilities, enabling it to receive, process, and analyze raw data from various smart home devices in real time. Part Two: Data Processing and Protocol Conversion. After receiving raw data from various smart home devices, the edge computing platform first performs device identification. Using its built-in device identification algorithm, the platform parses the received data to identify key information such as device type, brand, and communication protocol. Based on this information, the platform determines the corresponding data processing and protocol conversion rules. Subsequently, the platform cleans, converts, and standardizes the data according to these rules to ensure data consistency and usability. Part Three: Device Connectivity and Management. This section describes how smart home devices from different brands and using different communication protocols are connected via a smart gateway or other connected devices. The smart gateway maintains real-time communication with the edge computing platform, sending processed data to the corresponding devices and receiving device status and feedback information. During this process, the edge computing platform continuously identifies and monitors the connected devices to ensure the accuracy of device status and the stability of the connection. Once a device malfunction or anomaly is detected, the platform can respond quickly and take appropriate measures to ensure the normal operation of the system. Part Four: Unified Communication Standards and Interfaces. This section establishes unified communication standards and interface specifications to guide the design and development of smart home devices. By adhering to unified communication standards and interface specifications, incompatibility between devices is reduced, and device interoperability is improved. Part 5: Central Control Devices and User Experience. This section introduces smart home central control devices, such as smart speakers and touchscreens, to provide users with a user-friendly interface. These central devices connect to an edge computing platform, receiving voice commands or touch operations from users and forwarding them to the corresponding devices for execution. Simultaneously, the edge computing platform collects real-time device usage data and user feedback, providing data support for optimizing the user experience. A method for ensuring smart home device compatibility based on edge computing technology, including hardware configuration and software process.

[0013] Furthermore, the hardware configuration includes an edge computing device, which includes a processor, a memory, and a network interface. The processor is responsible for executing data processing and control logic, the memory is used to store data such as device information databases and protocol conversion rules, and the network interface is used to communicate with smart home devices and other network devices.

[0014] Furthermore, the software process includes a device access and identification module, a protocol conversion and compatibility processing module, a data localization processing module, and a personalized control strategy generation module, etc., and each module works together to realize the various functions of the present invention.

[0015] The present invention has the following advantages: Low latency and real-time response: Traditional cloud computing requires sending data to remote cloud servers for processing before returning control commands, which introduces latency. Edge computing technology, however, enables processing and decision-making to occur on devices closer to the data source, significantly reducing data transmission time and thus improving response speed. This allows smart home devices to respond to user commands more promptly, achieving smarter and faster home control.

[0016] Enhanced data security: Edge devices can process and store data locally, eliminating the need to transmit all data to cloud servers, thus reducing data transmission risks and the possibility of related privacy breaches. Furthermore, edge devices can use local encryption technologies to encrypt data, further improving data security.

[0017] Enhanced Device Compatibility: An edge computing-based smart home device compatibility method, through protocol conversion and compatibility processing, enables interconnectivity between smart home devices of different brands and protocols. This breaks down communication barriers between devices, providing users with a more convenient and flexible user experience.

[0018] Energy management and resource utilization optimization: Edge computing technology optimizes the energy use of smart home devices, making their energy consumption more efficient. Simultaneously, through intelligent allocation of device resources, it achieves rational utilization and optimization of resources, improving the performance and efficiency of the entire smart home system.

[0019] Personalized and intelligent control: Based on user habits and environmental parameters, edge computing devices can generate personalized control strategies and automatically adjust the working modes and parameters of smart home devices. This provides users with a more comfortable and intelligent living environment.

[0020] Relieving traffic pressure: When transmitting data to the cloud, edge computing performs some simple data processing through edge nodes. When faced with a large amount of data, it can extract useful information through compression algorithms before transmission, thereby reducing bandwidth resource consumption. Real-time data processing and analysis: Edge computing technology enables real-time data processing and analysis on the device itself, which is the core of this approach. Traditional data processing methods require uploading large amounts of data to cloud servers for processing, which not only causes latency but may also increase the risk of data transmission problems. Edge computing, on the other hand, can process data directly on the device, greatly improving the response speed and real-time performance of smart home systems. Device compatibility and interoperability: Achieving compatibility and interoperability between smart home devices of different brands and protocols is another key aspect of this approach. Through protocol conversion and compatibility processing, edge computing devices can identify and adapt to the communication protocols of various devices, ensuring they can work collaboratively within the same system. Personalized and intelligent control: Edge computing-based smart home device compatibility methods can generate personalized control strategies based on user habits and environmental parameters. This enables smart home systems to more intelligently adjust device operating modes and parameters, providing a more comfortable and convenient living environment. Security and privacy protection: Edge computing technology enables local processing on the device, avoiding the privacy risks associated with uploading sensitive data to the cloud. Simultaneously, encryption technologies and security protocols ensure data security during transmission and processing. In summary, edge computing-based smart home device compatibility methods offer advantages such as low latency, high security, strong compatibility, optimized energy and resource utilization, personalized and intelligent control, and reduced bandwidth pressure. These advantages make this method widely applicable in the smart home field, providing users with a more convenient, efficient, and secure smart home experience.

[0021] In the description herein, it should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0022] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for ensuring compatibility of smart home devices based on edge computing technology, characterized in that: By introducing edge computing technology, localized processing and analysis of smart home devices can be achieved, improving compatibility between devices, reducing network latency, and enhancing user experience. Specifically, this includes the following steps: The first step is to initialize the edge computing device; The second step is to connect smart home devices; The third step involves edge computing devices performing device identification. The fourth step is to query the equipment information database; Step 5: Protocol conversion and compatibility handling; Step 6: Localized data processing and analysis; Step 7: Generate personalized control strategies; Step 8: Edge computing devices automatically adjust smart home devices; Step nine: Continuously monitor equipment status and data changes.

2. The smart home device compatibility method based on edge computing technology according to claim 1, characterized in that, Specifically, it includes the following parts: Part 1: Building an Edge Computing Platform; Part Two: Data Processing and Protocol Conversion; Part Three: Equipment Connection and Management; Part Four: Unified Communication Standards and Interfaces; Part 5: Central Control Devices and User Experience 3. The smart home device compatibility method based on edge computing technology according to claim 2, characterized in that, This includes both hardware components and software processes.

4. The smart home device compatibility method based on edge computing technology according to claim 3, characterized in that: The hardware configuration includes an edge computing device, which includes a processor, memory, and a network interface.

5. The smart home device compatibility method based on edge computing technology according to claim 4, characterized in that: The software process includes a device access and identification module, a protocol conversion and compatibility processing module, a data localization processing module, and a personalized control strategy generation module.

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