The importance of fire prediction can be seen from the fire at Notre Dame de Paris, France

According to foreign media reports, a serious fire broke out at Notre Dame de Paris in France on the afternoon of the 15th local time. The spire of this sacred church building described by Hugo collapsed in thick smoke. A spokesman for Notre Dame de Paris said: "Everything is burning. Nothing is left on the wooden frame."

After the fire broke out, the French Ministry of the Interior said that 400 firefighters participated in the fight against the fire. The fire department used high-pressure water guns to put out the fire. After more than 4 hours of rescue, the fire gradually cooled down and was under control. The main structure of Notre Dame de Paris was preserved and protected. However, this terrible fire caused serious damage to Notre Dame de Paris, which is very regrettable. The citizens of Paris spontaneously gathered together to mourn the loss of Notre Dame de Paris.

What caused the fire at Notre Dame de Paris, France? According to the fire officials at the scene, the fire at Notre Dame de Paris may be related to the renovation of the church building. Glenn Corbett, an associate professor of fire science at John Jay College in New York, speculated that one of the dangerous factors that may cause fires is open flames during construction. Corbett believes that the dangers posed by open flames on torches, sparks from welders, and flammable materials on other scaffolding are all potential disasters. In this regard, fire risk prediction is very important to avoid the occurrence of some fires and unnecessary property losses and life threats as much as possible.

In my country, according to statistics, there were 237,000 fires in 2018, with direct property losses of 3.675 billion yuan, of which 107,000 were residential fires, exceeding 45% of the total number of fires in the whole year. The reason is related to the backward construction of fire prevention infrastructure in my country. So how can we use the power of new technologies to avoid fires as much as possible? Or what new technologies are mainly used for fire risk prediction?

Smoke and other sensors are indispensable. Sensor technology is the basic technology of the new technological revolution and the information society. Various types of sensors can replace or even surpass the functions of human senses, provide a large amount of reliable and accurate perception information in a specific environment, and provide complete and reliable data resources for fire risk prediction. Sensors are generally widely used in cutting-edge technology fields such as aviation and aerospace, as well as people's daily lives such as industry and agriculture. For example, smoke sensors widely used in home life achieve fire prevention by monitoring the concentration of smoke. Smart smoke sensors can monitor fire smoke in the area 24 hours a day, and connect to the alarm system and cloud platform so that the alarm information can be transmitted to the owner and the fire department in a timely manner, realizing the intelligentization of fire alarm.

In addition, big data + artificial intelligence build a "fire eye" fire risk prediction system. First of all, the fire risk prediction system needs to rely on the support of massive data, and the data collection covers a wide range and requires refinement. In addition to the perception information data collected by various sensors, it will also involve unit information, building information, historical fire information, historical inspection hidden danger records and other related collection data. For building information alone, it is further divided into building type, building age, floor height, building area, fire resistance level, number of units, maximum number of people that can be accommodated, etc. In addition, fire protection needs to take the initiative to connect with public security, safety supervision, transportation, industry and commerce, housing and construction and other departments, establish a basic business data pool related to fire safety management, and form a unified "fire data cloud" in the city.

With the help of these massive data resources, the fire risk prediction system conducts machine learning, dynamically and quantitatively ranks all buildings and public facilities for fire risks, identifies high-risk units, and predicts fire risks. In addition, high-risk fire warning instructions can be simultaneously pushed to fire departments, police stations, and related units, as well as relevant departments and counties (cities), townships (towns), and streets (communities) through integration with the fire service system. Firefighting staff can analyze fire inspections on a daily basis and at different time stages, explore the distribution characteristics of fire hazards in different periods and regions, and arrange fire supervision and inspection work and rectification work in a targeted manner. Undoubtedly, accurate fire risk prediction can greatly improve the accuracy of fire prevention and control work, achieve "data-driven elimination, predictive warning", and eliminate more fire hazards in the bud.

Finally, we hope that with the help of the accurate fire risk prediction system built by new technologies such as the Internet of Things , big data and artificial intelligence, all ancient buildings can be well protected and the tragedy of Notre Dame de Paris will never happen again! At the same time, through the application of new technologies, fires in residential buildings and public facilities can be greatly reduced or avoided, and people's sense of security and happiness in life can be improved.