NB-IoT technology-based low-energy consumption smoke detection and alarming device

Abstract

The invention relates to an NB-IoT technology-based low-energy consumption smoke detection and alarming device, which comprises a CPU module, a communication module and a battery detection module, wherein the communication module and the battery detection module are electrically connected with the CPU module respectively; and the CPU module comprises an integrated circuit U2 in a model of STM8L151K4T6. The device is used for detecting the smoke concentration in air, a local alarm is given once exceeding a safety threshold, and the alarm information is instantly pushed to a mobile intelligent terminal; and besides, a water valve, a door and window and an exhaust system can be opened in a linked mode for processing, precious time is won for the user, and risks are reduced as far as possible.

Description

technical field [0001] The invention relates to a low-energy smoke detection and alarm device based on NB-IoT technology, which belongs to the technical field of the Internet of Things. Background technique [0002] As a disaster caused by people's carelessness or line aging, fire has caused huge losses to people's life safety and property safety. Family security is very important. Home security is a preventive measure based on home security. It uses electronic technology to automatically detect sudden events, especially fire, in the armed monitoring area, generate an alarm signal, and give an alarm prompt at the first time. However, at present, most of the smoke detection alarms generally have a single alarm method, slow response speed, and cannot prevent problems before they happen, and the relevant important data detected cannot be collected, resulting in the lack of many important data in the later analysis of the cause of the house fire. Contents of the invention [...

AI Technical Summary

Problems solved by technology

However, at present, most of the smoke detection alarms generally have a single alarm method and slow response speed, so they cannot be prevented before they happen, and the relevant important data detected cannot be collected, resulting in the lack of many important data in the later analysis of the cause of the house fire.

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