How can smart cities achieve electricity safety?

How to avoid reducing the occurrence of electrical fires? In addition to the common knowledge of the widespread use of electricity safety to residents, researchers have begun to use artificial intelligence technology to use the big data to derive the operating mode of the power system, to early warning of hidden dangers, to prevent problems Burning."

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.

Shen Yuxiang, chairman of the Building Electrical Branch of the Architectural Society of China, said that at present, China's urban industrial electricity consumption is declining, and residential electricity consumption is on the rise. According to the case statistics, electrical fires mainly occurred in more than 50% of the total number of “five small” places such as small shops and farmer's markets. Therefore, it is very important to manage the safety of electricity. "Our country is prepared to focus on rectifying electrical fires in three years. Reducing electrical fire accidents is a key issue to be addressed in the cutting-edge technology of the electrical industry." Shen Yuxiang said.

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 prevention system that emerges at the historic moment can patrol 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, and automatically alarm. , disconnect, isolate the fault circuit.

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 intelligent fire protection system 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.

Take a community as an example. Each household has an upgraded “electric meter” for collecting electricity consumption data of the residents in 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.

Although there are still many ways to go from technology to application, the wisdom of urban electrical systems will be the only way in the future. Xiaobian believes that with the current development speed of science and technology, it is possible that the intelligent electrical system may be in ours after three years. To achieve a certain degree of pilot and application in the city. In the future, urban living electricity will be safer.