How to realize smart and safe electricity in modern cities

How to reduce the occurrence of electrical fires? In addition to the common sense of popularizing electricity safety for residents, Zhengzhou Jintel has begun to use artificial intelligence technology to cooperate with big data to derive the operating mode of power system, build smart and safe power , and early warning of hidden dangers. ".

Statistics show that from 2011 to 2016, there were 524,000 electrical fires in China, resulting in direct economic losses of more than 9.2 billion yuan. Among them, there were 17 major electrical fires, accounting for 70% of the total number of major fires.

In general, electrical fires that occur in household electricity are often caused by aging of the line, because the aging of the line often leads to faults such as fault arcs that are dangerous and difficult to detect. High-power appliances such as air conditioners, electric heaters, electric vehicle chargers, etc., once the line ages, will bury the hidden danger of fire.

In this regard, the intelligent fire cloud platform that emerged at the historic moment can conduct inspections on various electrical fire hazards in the line 24 hours a day, and perform "intelligent" processing on problems such as overload, short circuit, abnormal residual current, and fault arc. Alarm, disconnect, and isolate fault circuits.

Smart fire is very different from traditional fire. For example, the most common switch "trip" is a manifestation of the traditional fire mode. By setting a specific value, the current will exceed this value and automatically "trip" to protect the circuit. However, the use of electrical equipment in electrical systems is ever-changing, not only when the current is large, it will catch fire, and "tripping" can only deal with one of them.

The smart fire cloud platform has changed the traditional discriminating mode, that is, changing the "tripping" type of "non-large or small" and replacing it with "normal and abnormal". As long as it is not in the "normal" state, the system will determine that it is "abnormal", thus issuing an alarm, automatically breaking the line, isolating the abnormal point, and quickly avoiding the fire. And this discriminating is based on big data and deep learning technology.

Taking a community as an example, each household has an upgraded “electric meter” for collecting electricity consumption data of the residents of the building. While implementing smart protection, the data will be uploaded to the “cloud” of the community center to analyze the entire community. Use electricity data. At present, it is possible to build a smart fire prevention system covering the city by technology, and implement intelligent monitoring of power hazards in all corners of the city through hierarchical calculation.

The wisdom of the future urban electrical system will be the way to go, and Zhengzhou Jintelai has been building a more complete smart and safe power system. In the future, urban living electricity will be safer.