As people's demand for intelligent fire safety continues to grow, 5G edge computing gateways, as a new technology, have been widely used in intelligent monitoring and management of fire equipment. This article will introduce the application of 5G edge computing gateway in intelligent fire safety and give a Python code example.
1. Application of 5G edge computing gateway in intelligent fire safety
5G edge computing gateway is a terminal device that integrates 5G communication technology and edge computing technology. It can achieve low-latency, high-bandwidth communication, and can deploy computing resources on edge devices closer to users, thereby achieving real-time processing of data and rapid response. In the field of intelligent fire safety, 5G edge computing gateway can be used to implement the following functions:
1. Intelligent monitoring of fire equipment: Through the 5G edge computing gateway, real-time monitoring and data collection of fire equipment can be achieved. For example, data such as temperature, humidity, smoke, etc. of fire protection equipment can be monitored and transmitted to the cloud for analysis and processing.
2. Intelligent management of fire protection equipment: Through the 5G edge computing gateway, remote control and management of fire protection equipment can be achieved. For example, the gateway can be used to control the switch status of fire-fighting equipment, adjust the parameters of fire-fighting equipment, or troubleshoot equipment.
3. Rapid response to emergencies: When an emergency occurs, the 5G edge computing gateway can quickly start and respond to firefighting equipment by quickly responding and processing data. For example, when a fire is detected, the gateway can immediately activate firefighting equipment and send the processed data to the cloud for further analysis and processing.
2. The main functions of the Barium-Rhenium technology BL302 edge computing gateway: The
embedded ARM controller BL301/BL302 series is an industrial-grade rugged industrial controller, using NXP's high-performance processor I.MX6ULL and the advanced ARM Cortex-A7 architecture. Operating speed up to 800MHz, with high stability. This product can provide up to 4 channels of RS485/RS232, 1 channel of CAN port, 2 channels of network port, 2 channels of DI port, 2 channels of PWM port output and 1 channel of USB interface, 1 channel of power input/output interface, 1 channel of HDMI video display interface. It can run LINUX, Ubuntu, Debian and other OS, is compatible with Node-Red, QT, Python, C++ and other applications, and supports MySQL, InfluxDB, SQLite and other databases. Rich hardware interfaces, strong software compatibility, compact size, and DIN35 rail mounting allow the embedded ARM controller BL301/BL302 to have a wide range of application scenarios.
3. Python code example
The following is a simple Python code example for remote control and management of fire protection equipment through the 5G edge computing gateway.
#Import the required modules
import requests
# Define the IP address and port number of the gateway
gateway_ip = '192.168.1.1'
gateway_port = '8080'
# Define the ID and command of the fire protection equipment
device_id = '001'
command = 'on'
# Define the URL for sending requests
url = f'http://{gateway_ip}:{gateway_port}/control'
# Define request parameters
params = { 'id': device_id, 'command': command }
#Send POST request
response = requests.post(url, data=params)
# Parse the response result
result = response.text
#Print the result
print(result)