Air detection device
CN122116891APending Publication Date: 2026-05-29WUHU MATY AIR CONDITIONING EQUIP CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHU MATY AIR CONDITIONING EQUIP CO LTD
- Filing Date
- 2024-11-27
- Publication Date
- 2026-05-29
AI Technical Summary
Technical Problem
Existing air quality monitoring equipment is slow to process collected air quality data, and its hardware design is complex and costly.
Method used
The system-on-a-chip (SoC) integrates a serial peripheral interface, a high-speed serial bus SPI, and a universal asynchronous transceiver (UART) to reduce data transmission nodes. Combined with a voice acquisition module and an air quality sensor, data processing and uploading are performed through the SoC.
Benefits of technology
It improves data processing speed, reduces hardware design complexity and cost, and enables efficient air quality data acquisition and voice recognition.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122116891A_ABST
Abstract
The application provides an air detection device, and relates to the technical field of smart home. The computing capacity of a system-level chip is utilized, an MCU is not additionally arranged, the nodes of data transmission are reduced, the data processing efficiency is improved, the hardware design cost is saved, and a voice collection module, a voice processing module, a high-speed serial bus SPI and a serial peripheral interface are sequentially electrically connected. After the voice data collected by the voice collection module is denoised and subjected to analog-digital conversion processing, the voice data is transmitted at high speed to the system-level chip through the high-speed serial bus SPI and the serial peripheral interface, so that the processing speed of the air detection device for the voice data is improved. Further, the system-level chip can upload the voice data to a cloud server through a router for automatic speech recognition ASR. After successful recognition, the cloud server performs word segmentation on the voice data, and performs semantic understanding according to the segmented data, so as to generate a response instruction corresponding to the voice data.
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