China’s CASC plans app-based control system for Cai Hong UAVs


Date:2017-08-05 Source:Janes By:Globalmil Viewed:

Kelvin Wong - IHS Jane's International Defence Review
03 August 2017
Kelvin Wong - IHS简国际防务评论
CASC engineers ready a pair of CH-4 strike-capable reconnaissance UAVs for a flight test in northwestern China. The company is developing an app-based interface to simplify higher order UAV operations. Source: IHS Markit/Kelvin Wong
中国航天科技集团公司(CASC)工程师准备了一架用于中国西北部飞行试验的CH-4型攻击-能力无人机。该公司正在开发一个基于应用的界面,以简化更高级的无人机操作。资料来源:IHS Markit / Kelvin Wong
Engineers at the Beijing-based China Academy of Aerospace Aerodynamics (CAAA), the unmanned aerial vehicle (UAV) platform, systems, and technology business unit of defence prime China Aerospace Science and Technology Corporation (CASC), are developing a new app-based UAV management system specifically designed to reduce the complexities of operating larger, multirole air vehicles in the medium-altitude long-endurance (MALE) class.
Jane’s sources revealed that such an effort had been under way since 2014 and the company aims to have early software builds ready for field trials “in the near future”. It is expected that the yet-to-be-named app-based system will be made available as an option for the company’s flagship products such as the Cai Hong 4 (Rainbow 4, or CH-4) – which is already in service a number of countries in Central Asia and the Middle East – and the recently market-ready CH-5 strike-capable reconnaissance MALE UAVs when fully developed.
简氏消息来源透露,自2014年以来,这样的努力已经开始,公司的目标是在不久的将来为现场试验准备早期的软件。预计尚未命名的基于应用程序的系统将作为公司旗舰产品的一个选择项,如已经投入使用已在中亚和中东国家服役一定数量的彩虹-4型(Cai Hong-4或CH-4)-以及最近市场上准备好全面发展的CH-5型攻击-能力侦察高空长航时(MALE)无人机。
A company official briefed Jane’s that the proposed management system takes the form of open architecture software that exploits the high level of automation that is already inherent in the company’s UAV platforms – which are already capable of automatic take-off and landing and autonomous navigation – to enable an operator to assign tasks to one or multiple platforms using easily identifiable app icons.
“Our app-based approach is designed to increase the effectiveness of UAV missions by raising operator focus from the level of tactical operation to that of supervision,” the official explained. “By automating most, if not all tactical functions, we are also aiming to ease the cognitive burden on operators, enabling them to supervise and command multiple concurrent UAV missions without losing effectiveness.”
该官员解释说:“我们基于应用程序的方法旨在通过将操作员的重点从战术操作层面提升到监督层面,提高无人机任务的有效性”, “通过自动化大多数(如果不是全部)战术功能,我们也旨在减轻操作员的认知负担,使他们能够监督和指挥多个并发UAV任务,而不会失去有效性。

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