background overview

On August 20, 2019, a massive flash flood and mudslide disaster was triggered by heavy rainfall in Wenchuan County, Sichuan Province, resulting in complete disruption of roads, communications, and electricity in multiple towns and villages. A large number of people were trapped and out of contact. Emergency rescue operations faced extremely difficult conditions due to lack of information and poor communication.

action

Following the disaster, the technical team of CHENGDU TIMESTARS CO., LTD., carrying the "Air‑Space‑Ground Integrated" emergency rescue system, rushed to the disaster area, with the following equipment as the core deployment:

The TIM‑series industrial UAVs, equipped with high‑definition visible light cameras and infrared thermal imaging cameras, were used for daytime reconnaissance and life search and rescue at night or in adverse weather conditions respectively.

1. Rapid full-area survey and disaster assessment

With roads cut off, TIM UAVs were the first to fly into the core disaster area, quickly identifying key hazard locations such as road damage, submerged houses, and blocked river channels. This provided the command center with a first-hand, comprehensive disaster assessment report, indicating the main direction for rescue efforts.

2. Precise search and positioning to support life rescue

Using infrared thermal imaging technology, UAVs scanned areas inaccessible to personnel at night or in adverse weather conditions to search for trapped individuals. At the same time, UAVs continuously monitored potential geological hazard points, providing crucial information for the safe movement of rescue teams and early warning of secondary disasters.

During the 2019 Wenchuan mudslide rescue operation, CHENGDU TIMESTARS CO., LTD.'s TIM UAV system was not merely a reconnaissance tool, but was the first to open a lifeline at the most critical moment. It fully demonstrated the application value of the TIM UAV system, integrating reconnaissance and communication functions, in responding to extreme disaster scenarios characterized by road disruptions, network outages, and power failures.