According to national fire and explosion statistics in recent years from the Fire Prevention, Fighting and Rescue Police Department (PCCC&CNCH), Ministry of Public Security, the number of fires has been increasing over the years and increasingly occurs with great frequency and continuously with extremely complex nature, causing much damage to property, life and health of people. In 2023 alone, Vietnam will have 3,456 fires and explosions, killing 157 people and injuring 136 people; Property damage was estimated at 878 billion VND and 236 hectares of forest.

Figure 1. Hanoi mini apartment fire in 2023

Figure 2. Forest fire in Soc Son – Hanoi

There are many reasons why fires are becoming more and more serious and causing such great damage. This includes firefighting units that cannot proactively detect them, significantly reducing the effectiveness of fire prevention and fighting. Because in Vietnam today, the authorities usually only know there is a fire when people detect it and report it.

So how can we detect fires as quickly as possible, determine the fire's location most accurately and minimize damage to people and property every time a fire occurs?

 Stemming from the urgent needs of the above practice, Chau Long Company - a leading provider of smart operating monitoring solutions has researched and launched smart fire monitoring and warning solutions. – Is a solution that integrates the advanced technology foundation of the Industry 4.0, including: Sensors to measure air quality, temperature, humidity, assess urban environmental quality or fire warning...Connect smart city surveillance system uses multispectral image analysis with Artificial Intelligence (AI) to detect smoke and fire from long distances; A low-power wide-area radio network (LPWAN) connects data to a high-performance computing center using a numerical model to detect unusual events and provide real-time warnings on a GIS map basis via Internet.

Smart fire monitoring and warning solutions bring many outstanding benefits compared to traditional fire alarm devices:

• Detect fire quickly and accurately

The wireless fire alarm system uses smart fire/smoke sensors built with artificial intelligence and computer vision technology capable of detecting signs of fire such as smoke, temperature and CO gas accurately, sending real-time alerts to help control fires and respond promptly to dangerous situations.

• Reduce the risk of false alarms

Smart fire/smoke alarms use smart algorithms and data analysis to eliminate false alarms. It helps avoid unnecessary harassment situations, optimizing responsiveness.

• Remote monitoring

The smart fire/smoke alarm can be connected to the internet via mesh Bluetooh/WIFI/LTE to enable remote monitoring. The system can send real-time alerts to workers and other management personnel to their smartphones in the event of exposure to smoke, high temperature hot spots, small fires from long distances or flammable air.

• Integrate with other smart monitoring and management systems

Smart fire alarm and monitoring systems powered by AI can be easily integrated with other smart systems such as: Building management system (BMS), smart city operating management system , fire protection system,... create a comprehensive security system to help optimize management of processes and resources.

• Provide detailed information about the fire

Smart fire/smoke alarm systems provide detailed information about risk sources and fire locations, helping fire prevention staff and authorities respond more quickly and effectively.

• Wireless/non-electric technology

Wireless fire alarm systems do not need to use fireproof wires or complicated wiring like traditional fire alarm systems. The advent of AI-powered wireless technology offers cost-effectiveness, ease of installation, and low maintenance costs. In addition, the flexibility to move and change the position of sensor devices brings many valuable benefits.

Figure 3. Image of smoke and fire detection system

Forest fire warning system and long-range fire warning system:

Main components:

• Smart forest fire monitoring system

The Artificial Intelligence Monitoring System (AIoT Monitoring System) is designed to simultaneously collect image data and environmental information and integrate data processing using Artificial Intelligence technologies, Deep learning (AI Deep learning) and Internet of Things to provide users with real-time alerts.

In low cloudy weather, the cameras can clearly see smoke and possibly fire (in the near-infrared range) from up to 5km away. Dust and CO, CO2, NO2 gases will fly in the wind and spread around. With a light wind speed (3ms), smoke and dust will spread horizontally 5km every minute.

The gas sensor system is connected, combining information about wind direction and wind speed, and through artificial intelligence processing can create warnings about fire outbreaks in directions and areas with a radius of several hundred. meters. The multi-spectral camera system with integrated artificial intelligence will focus on scanning the warning area with high resolution to search for smoke and fire, providing images of the center for supervisors to assess the extent of fire and make appropriate firefighting mobilization decisions.

The data system is displayed on the Web-GIS platform, easily shared with many different users for different purposes.

Figure 4. Smart forest fire monitoring system

Designed for installation in high places and large monitoring areas to detect fire or smoke. Combined systems:

- Industrial smart monitoring system with low light image sensor, selectable optical zoom 4/12/30X corresponding to smoke and fire detection distance up to 1.5/3/5km

- AI-Edge industrial computer

- Cli-LPWAN-S: Low-power wireless communication (WIFI, LPWAN) long range (distance up to 30km)

- Cli-COM-LTE: industrial 3G/4G/LTE modem

- Solar and wind power systems

- GNSS Receiver supports BDS/GPS/GLONASS

- Embedded software processes video to detect fire/smoke at distances up to 5km.

- Auto tilt zoom to follow different presets

- Connect WIFI to local network

- Video software simulates explosions in the city or suburban forest, projected on a video wall or several large TVs in the main showroom

• Cli-SAS – Non-electric IoT air sensor for fire detection

- Air sensors can detect forest fires or small fires before they develop into large fires by measuring different gases such as Carbon monoxide and Hydrogen.

- Solar batteries and undervoltage power enable Cli-SAS to establish a large-scale IoT network for extremely early detection of forest fires.

- Attached to power poles, trees... a network of thousands of Cli-SAS sensors are collecting data for wide-area monitoring and are connected to a central server through a number of CLI-AIoTM or Cli-SmartEyesHSD.

Figure 5. IoT gas quality monitoring system

Smart fire detection system warns of fires in areas such as factories, warehouses, gas stations, factories, and industrial parks …:

Main components:

• Cli-SmartEyesFD - Detect smart fires in warehouses, factories, gas stations or areas with high risk of fire and explosion with cameras integrated with infrared fire detection sensors

Designed based on infrared thermoelectric sensor technology, it is highly effective in early detection of fire risks, allowing to prevent fires from arising from the beginning and save time, money and create trust. The system can detect a fire from a distance of 60m with a fire area of ​​0.09m2. Combined systems:

- AI processor: Dual core 240MHz

- Meshed WiFi 2.4 GHz b/g/n, legacy Bluetooth, and Bluetooth Low-Energy 5.0.

- 2MP AI camera (1600x1200).

- GNSS receiver supports BDS/GPS/GLONASS

- Software controls automatic tilt and warns when hot spots, flammable gas or smoke are detected.

- Optical fire detection sensors are designed to detect virtually all fires, including hydrocarbon fires. Fire detection distance: This email address is being protected from spambots. You need JavaScript enabled to view it.*0.3m (Fuel: n-heptane).

Table 1. Optical fire detection sensor specifications

Figure 6. Cli-Smart Eyes - camera with integrated infrared fire detection sensor to detect smart fires

Table 2. Sensor type selection table for specific application (* Suitable   ** Recommended)

The smart fire monitoring and warning solution researched, designed and manufactured by Chau Long Company is a comprehensive solution, integrating advanced equipment and technology to early detect fire and explosion risks and warn promptly and support effective fire fighting. This solution can be applied in a variety of applications to monitor fire prevention and fighting for factories, warehouses, apartment complexes, forests, nature reserves…

Several images of the smart forest fire monitoring and early warning system installed on Ham Lon mountain, Soc mountain, Soc Son district, Hanoi:

Figure 7: Image of field equipment installation at Soc Son mountain

Figure 8: Image of the management interface at the center

Figure 9: Image of smoke signal detection (daytime) at Soc Son

Figure 10: Image of smoke signal detection (at night) in Soc Son

To explore and receive detailed advice about this solution of ours, customers and partners please contact the Technical Consulting Department as soon as possible for the best service!