Traditional fire fighting mainly relies on the means of "civil air defense+technical defense" for fire emergency treatment. Due to the geographical isolation of buildings, the traditional fire management is decentralized and inefficient. Many times, it is still up to the masses to find the fire and call the police in time.

At the same time, the time cost for firefighters to verify information and carry out rescue is high, and they will also encounter poor communication in an emergency, which will spread the fire, delay valuable rescue time and often cause great losses.

Intelligent fire protection uses advanced Internet of Things technology to monitor the running state of fire protection system in real time, find fire information in time and upload it to the cloud platform, intelligently analyze the fire and push alarm information to networked units and fire departments, so as to realize rapid judgment and decision-making, save valuable rescue time and reduce and avoid fire losses by scientific and technological means.

How to make a quick decision?

It is mainly a combination of online monitoring+safety early warning+fire record+online command.

Take Hangzhou as an example.

The mini fire stations of Yuhang District Fire Squadron, Linping Street, Jinqiao Street and Nanyuan Street in Hangzhou began to be used. There are 14669 intelligent smoke detectors, 39 intelligent fire hydrants, 9 13 battery car charging piles, 1 19 alarm records, 145 mini fire station, and 68 users.

Through the intelligent monitoring and analysis of multi-channel and multi-platform data, the police situation and hidden dangers are actively discovered, and the overall perception of the police situation is realized;

Through real-time integration of resources and police situation, all-round intelligence is formed, and immediate linkage response is realized through model plan analysis, and immediate linkage response is realized through model plan analysis quickly, so as to convey commands quickly and accurately and respond immediately;

Through intelligent traffic signal control, emergency vehicles are provided with elastic green wave protection of signal lights, which greatly shortens the arrival time of rescue and ensures the priority of emergency vehicles.

In the actual combat of the system, more than 5,000 cases of alarm were found, and 4 cases of major property losses were avoided.

On the way to rescue, through the intelligent control of traffic signals, the average single saving reached 18%, which effectively improved the emergency response time.