【AIoT Smart Smoke Detection System】System Design Overview

Steve-George

【AIoT Smart Smoke Detection System】System Design Overview [Copy link]

 

1. Product structure diagram

2. Brief description of product principle

This system is mainly divided into four parts: cloud part, connection part, control part and sensor part. The following will further explain these four parts:

1. Sensing part

The sensing part includes two parts: smoke detection and visible light analysis. The CN0537 module of Analog Devices and the K210 development board of SiPEED are used respectively. Considering the usage scenarios of smoke sensors, battery power is the most reasonable choice. However, this also has a great limit on the power consumption of the device. If the K210 chip is used for uninterrupted image visual analysis, although it can ensure timely detection of fire, the power consumption required by the system will greatly shorten the battery life of the product. Using smoke detection + image recognition can achieve low-power operation while ensuring detection accuracy. Under normal conditions, K210 is in a dormant state and does not generate any power consumption. The smoke sensor will continue to detect and respond to sudden fires. When the data detected by the smoke sensor exceeds the set threshold, K210 will automatically turn on image recognition to determine whether there is an open fire. If K210 finds an open fire, an alarm signal will be issued. In this way, daily smoke such as cigarettes will not trigger the system fire alarm, and the effectiveness of detection can also be guaranteed in industrial workshops with heavy smoke.

2. Control section

The control part uses the Analog Devices ADICUP3029 development board, which can communicate with the CN0537 module of the sensor part through the Arduino Uno R3 interface, and can also be connected to the K210 core board using the UART interface. The CN0537 sample program officially provided by ADI is also demonstrated based on the ADICUP development board. The control part mainly acts as a bridge between the sensor part and the connection part, making the design of this system more concise and stable.

3. Connection part

The connection part uses the CC2642R1 development board of Texas Instruments and the BC25 core board of Quectel for prototype construction. The LAUNCHXL-CC26X2R1 development board of Texas Instruments supports wireless protocols such as Wi-Fi, low-power Bluetooth , Thread, Zigbee, 802.15.4, and can provide a variety of connection methods. In this project, its Wi-Fi function is mainly used to connect to the local LAN and Bluetooth connection for local management. Quectel's BC25 core board provides NB-IoT connection, which can directly connect edge devices to the cloud through NB-IoT narrowband Internet of Things, without the need for local network deployment in the building. The two connection methods complement each other and can greatly improve the applicability and stability of this product, and can better cope with complex real-life scenarios.

4. Cloud part

Thousands of fire detection terminals may be deployed in a modern large building, and it is very important to manage these devices efficiently. In order to maximize management efficiency and transmit the information monitored by the equipment, online management should be carried out with the help of cloud services. The CC2642R1 chip can connect to the Internet via Wi-Fi to communicate with the cloud server and report monitoring data in real time; the BC25 chip can access the cloud through the NB-IoT network and the IoTDA service provided by Huawei Cloud. Cloud data management and subsequent user platform development are less relevant to the electronics field, so they will not be expanded here.

lugl4313820

The control part uses the ADICUP3029 development board from Analog Devices. I have never used this before, could you please give me a detailed introduction?

Steve-George

lugl4313820 posted on 2022-10-21 19:03 The control part uses the ADICUP3029 development board from Analog Devices. I have never come across this before, can you give me a detailed introduction?

Product link: https://www.analog.com/cn/design-center/evaluation-hardware-and-software/evaluation-boards-kits/EVAL-ADICUP3029.html

This development board uses ADI's own ADuCM3029 processor, which is based on the ARM Cortex M3 architecture and has low power consumption, making it very suitable for building IoT applications. The development board has an Arduino R3 Uno interface that can be used in combination with many of ADI's own modules. In fact, the other places are not much different from general embedded development boards. The official CCES IDE is provided for development, but Keil and IAR are also supported.