Universal man-machine interaction system and method based on AI and IOT

Abstract

The invention discloses a universal man-machine interaction system and method based on AI and IOT, and relates to the technical field of communication, the universal man-machine interaction system comprises a central service system, a plurality of user application terminals and a plurality of access objects; the user application terminal comprises an instant chat module; the access object comprises a communication protocol interface module and a function service execution module; the central service system comprises a protocol conversion module, a modeling module, a publishing and subscribingmodule, a natural language processing module and a rule processing module. A new system interaction mode is adopted, a group instant chat window containing people and equipment is established, equipment (and/or people) interaction operation is carried out through voice, characters, even pictures like WeChat, the equipment interaction operation form is unified, and equipment application and management become simple, efficient, unified and convenient.

Description

technical field [0001] The present invention relates to the field of communication technology, specifically a general human-computer interaction system and method based on AI and IOT. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. [0003] The Internet of Things (IOT) refers to the real-time collection of any information that needs monitoring, connection, and interaction through various devices and technologies such as information sensors, radio frequency identification technology, global positioning system, infrared sensors, and laser scanners. Objects or processes, collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, location, etc., and realize the ubiquitous connection between thing...

AI Technical Summary

Problems solved by technology

[0006] 1. The software operation is complex, the interface development cost is high, and the device is operated and interacted through a specific graphical interface

[0007] 2. The various interactive interfaces are not unified, the learning cost is high, and it is difficult to adapt quickly during the switching process, such as figure 1 and figure 2

[0010] 5. For smart speakers, the software and hardware limit the adaptability to a single scenario, generally a single-direction human-computer interaction under the LAN, which has little impact on traditional software, such as smart home scenarios: voice control curtains, lights, etc.; smart driving scenarios: voice Control the sunroof, music and more

[0011] 6. The existing artificial intelligence application scenarios lack physical carriers, and most of them stay at the pure software level

[0012] 7. It is not possible to combine multiple scattered (network and geographically dispersed) devices together for command scheduling (multi-dimensional interaction between people and things, things and things, etc., especially after people issue scheduling commands for multi-object participation in the group, Between machines, between machines and other people, data interaction between each other according to scheduling instructions)

[0013] For example, the patent "A Smart Home System Based on Instant Messaging Software and Internet of Things Communication" (Patent Publication No.: CN 108449246 A) and the patent "Human-Computer Interaction Method and System Based on Artificial Intelligence" (Patent Publication No.: CN105068661 B) both An interaction method and system are disclosed, but because it is mainly a specific graphical interface to operate and interact with the device, the learning cost is high; the latest AI intelligence such as Tmall Genie only uses voice (or text) to interact with a single device. Simple operation, no centralized instruction scheduling operations for multiple scattered devices, realizing cross-network and cross-region linkage interaction between devices and devices, devices and people

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