In recent years, with the development of information technology such as the Internet of Things, mobile Internet, and artificial intelligence , smart home systems such as security, entertainment, energy conservation, and health with various functions have begun to be integrated into thousands of households. The extensive application of advanced technologies has made the daily lives of ordinary people. The quality has improved significantly. Complex smart home systems usually have a variety of smart devices with different functions. After the IoT awareness module obtains the sensory data from the home device, it converts these functions into user-oriented terminal remote control through the functions provided by the home intelligence integration platform. Monitoring and other services.
Despite the great progress in the development of smart home technology , there is still a long way to truly realize the essence of the "people-oriented" service of smart home. The future smart home should focus on the "intelligence" of the homeowner's service, that is, according to changes in the family environment, owner's position, owner's mood, time and other factors, and actively provide adaptive services. To this end, we need to continue to pay attention to the development of key technologies in smart home. This paper studies a smart home system that supports semantic reasoning. By introducing semantic elements into the smart home IoT system, we can realize smart home semantic reasoning and achieve the goal of true smart home service. .
1 Internet of Things semantic architecture
In order to solve the heterogeneous interconnection and platform intelligence problems in the rapid development of the Internet of Things technology, many scholars and organizations have conducted extensive research on the semantic technology of the Internet of Things. When the International Organization for Standardization (ISO) OneM2M developed the Internet of Things standards, it introduced semantic technology into the Internet of Things to support knowledge reasoning and enhance the intelligence of the Internet of Things. Combined with the requirements of the semantic Internet of Things in the smart home environment, this paper improves the semantic function model of oneM2M and proposes the semantic architecture shown in Figure 1. The main improvements are as follows: Adding content related to device control functions, including instruction set and instruction processing module; setting device object pool, storage device object, including device instance corresponding to physical device, abstracted by basic function of physical device Abstract device, virtual device generated by mash-up.
Figure 1 Improved IoT semantic architecture diagram
Semantic analysis and query: Semantic parsing of application-side instructions (including direct parsing, or calling inference process), conversion to REST instructions for CRUD operations on resource URLs, sent to data processing or instruction processing modules.
Reasoning: For the instructions sent by the semantic analysis and query module, based on the preset rules, the object resources are obtained in the existing device (including the device instance and the virtual device), and the instruction type is determined; when the unique object resource is not obtained, the semantics are called. Combination module.
Semantic combination: Provides new services to users by aggregating abstract devices and virtual devices from different sources according to specific rules. This process can be triggered by user requirements or actively triggered by the platform.
Ontology Modeling: An offline process that creates an ontology model in advance for each new resource (including devices, users, etc.).
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