Prodrone, a Japanese company that has experimented with long-distance UAV flight for many times, conducted a UAV test in Tokyo earlier. It transported rescue materials to the peak valley area of the town of Omo to simulate how UAVs can assist rescue in areas where roads are blocked after natural disasters.
Test UAV is a modified version of pd6b-type 2, which has been used for transportation and measurement by many enterprises
Mobile network remote control UAV
The test, commissioned by the Tokyo Metropolitan Government, is called “investigation and verification plan for cargo transportation using UAVs”. It is planned to use KDDI’s intelligent UAV operation management system to remotely operate the UAV with the action network, realize the automatic flight beyond the line of sight distance, and deliver the rescue materials to the blocked disaster areas. The test will be conducted in the peak valley area of Otomo town at the western end of Tokyo. In the future, the test will also be conducted in the areas of Otomo Town, huihara village and rizhichu town.
The schematic diagram of the experiment is used for remote setting flight and monitoring in Tokyo hall
Send to blocked area
In October last year, Japan’s No. 19 typhoon, due to the collapse of roads in the area of Omo, traffic was blocked in some areas, resulting in the isolation of local villages. The Tokyo metropolitan government dispatched UAVs to transport materials, but encountered some problems, such as the preliminary flight route verification, the loading capacity of the UAV and so on. Therefore, this test is to prepare for possible natural disasters in the future, including setting the flight path of UAV, and then using the UAV to load 10kg materials to and fro the town of Odom at a distance of 3km one way, to verify the effectiveness of UAV assistance in rescue.
It is reported that the model of the tested prodrone UAV is pd6b-type 3. It is a six axis UAV with a body weight of 12kg and a maximum load capacity of 30kg. In the case of no load, the flight time can reach 28 minutes.
Editor in charge: GT