Software-defined intelligent architecture system and method for supporting rapid implementation of intelligent environment

Abstract

The invention provides a software-defined intelligent architecture system and method for supporting rapid implementation of an intelligent environment. The method comprises the following steps that: S1, a rule controller analyzes a script configuration file, decomposes intelligent implementation into computing units containing position information, and allocates a rule set corresponding to healthcare service to an intelligent node at a corresponding position based on the position information of the intelligent node; and S2, the intelligent node compiles a script configuration file based on the script interpreter, and compiles a script file corresponding to a functional algorithm in the health care service into a code file which can be executed by the system. According to the invention, intelligent service and function adjustment of the intelligent environment can be realized quickly and effectively, the cost of system development is fully reduced, and the flexibility of intelligent realization is improved.

Description

technical field [0001] The present invention relates to the technical field of intelligent environment, in particular to a software-defined intelligent architecture system and a method for supporting rapid realization of intelligent environment. Background technique [0002] With the rapid development of artificial intelligence and pervasive computing, the smart environment (SmartEnvironment) based on smart nodes has been greatly developed and paid attention to in recent years as a hot research field. Install smart sensors in other environments to provide a more comfortable, safer, and more convenient living, office, and service environment, and replace people to complete various manual labor and repetitive tasks according to each person's different service needs. In addition, the huge application value of the smart environment is also reflected in its specific uses, such as smart conference rooms, smart classrooms, and smart homes. In recent years, researchers have gradual...

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Problems solved by technology

[0003] However, after years of research and development, the intelligent environment has not been widely used and promoted in the fields of elderly care and other fields. The main problems include three aspects, such as figure 1 :

[0004] 1) The efficiency of intelligent implementation strategies in intelligent environments is low: In the intelligent implementation of traditional intelligent nodes, manufacturers generally produce node devices containing corresponding sensors according to specific needs in intelligent environments, and burn their functional algorithms in nodes Solidify, and then install and deploy the device according to the established mode

However, although this intelligent implementation strategy has good performance, it is inefficient, difficult to adjust, and overly dependent on equipment manufacturers, resulting in the current intelligent environment being mostly used in specific applications

[0005] 2) The system development method in the intelligent environment is expensive and difficult: in the development of the traditional intelligent environment system, developers need to develop the underlying codes one by one for intelligent nodes of different manufacturers and functions, and burn them on the intelligent nodes to solidify

However, a feature-rich intelligent environment requires nearly a hundred intelligent nodes. This system development method requires developers to invest a lot of time and energy, and the development cost is high and the efficiency is low.

In addition, the heterogeneity of smart node devices from different manufacturers is high, developers need multiple underlying development languages, and the development of smart environment systems is difficult

[0006] 3) The realization of intelligence in the intelligent environment cannot respond to the reasonable needs of users and make flexible adjustments: in the specific application of the intelligent environment, once the system needs to be upgraded, or when there are some changes in personnel, user needs, and equipment, (for example: new The access of sensors, the emergence of geriatric complications, or the user’s new service requirements, etc.), often requires developers to re-develop embedded software for smart devices

Therefore, the traditional intelligent environment requires a lot of time and resources to update and maintain a large number of intelligent nodes in the system. The realization of intelligence cannot make flexible adjustments in response to changes in the reasonable needs of users. The promotion of the environment creates a huge obstacle

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