下载PDF
Enhancing Drone and Air Taxi Flight Operations with Meteomatics' Weather Data
技术
- 分析与建模 - 数字孪生/模拟
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 航天
- 农业
适用功能
- 维护
用例
- 农业无人机
- 数字孪生
服务
- 无人机运营服务
- 系统集成
挑战
无人驾驶飞机和未来的自动空中出租车等无人驾驶飞行器缺乏能够直接响应天气变化和影响的机载飞行员。对天气变化的响应是由软件和自动驾驶仪控制的。这就需要飞行期间提供实时天气数据和天气预报数据,以便安全高效地进行飞行前计划。如果天气导致飞行风险增加或无法接受,则需要相应调整航线或起飞时间。由于农业、物流、交通管理和监控等缺乏航空专业知识的行业需要在商业环境中安全有效地操作无人机,这一挑战变得更加复杂。
关于客户
Unisphere 是一家总部位于德国的公司,专注于自动飞行运营的智能解决方案。其运营管理平台 NOVA 被领先的 BVLOS 无人机运营商和空中出租车公司使用。该平台利用其独特的模拟技术支持有人驾驶和全自动飞行操作,为每次飞行创建数字孪生。该平台提供的运营分析为规划垂直机场和设计空中出租车服务的战略决策提供了数据驱动的基础。这是通过根据历史天气数据分析天气状况对未来航班运营的影响来实现的。
解决方案
Unisphere 开发了 NOVA 运营管理平台,这是一个用于商业无人机操作的数字副驾驶。该平台提高了自动化水平,使专业无人机操作员能够绘制和标准化其飞行操作,以实现高效、安全的扩展。 NOVA Cast 是该平台的解决方案之一,可提前一周提供飞行模拟预测。这使得可以使用数字双胞胎尽早模拟飞行,评估各种天气参数及其对飞行可行性的影响。如果某些天气参数超出了车辆的预设限制,则会提前在模拟中识别出来,从而获得更好的飞行时间或替代路线规划。另一种解决方案 NOVA Aware 支持每日天气简报和航班调度,预报周期为 48 小时。为了正常运行并保持最新状态,该软件需要以所需的格式实时永久访问高分辨率天气数据。 Unisphere 选择 Meteomatics 天气 API 来实现此目的,是因为它的准确性和其他令人印象深刻的功能。
运营影响
数量效益
相关案例.
Case Study
Intelligent Farming with ThingWorx Analytics
Z Farms was facing three challenges: costly irrigation systems with water as a limited resource, narrow optimal ranges of soil moisture for growth with difficult maintenance and farm operators could not simply turn on irrigation systems like a faucet.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Greenhouse Intelligent Monitoring and Control Solution
Farming Orchids is the most successful form of precision farming in Taiwan, and also the most exported flower. Orchids need a specific temperature and humidity conditions to grow and bloom, and its flowering time may not be in line with market demands, so the price collapses when there is overproduction. Therefore, some farmers began to import automated greenhouse control systems for breeding and forcing, which not only improves quality, but also effectively controls the production period and yield to ensure revenue. In 2012, an orchid farmer built a Forcing Greenhouse of about 200 pings (approximately 661 Square Meters) in Tainan, Taiwan. The system integrator adopted Advantech’s APAX-5000 series programmable automation controllers to build the control platform, coupled with Advantech WebAccess HMI/SCADA software, to achieve cloud monitoring. The staff of the orchid field can monitor important data anytime via smart phone, iPad, and other handheld devices, and control the growth and flowering conditions. System requirements: In the past, most environmental control systems of orchid greenhouses in Taiwan used PLCs (Programmable Logic Controller) with poorscalability and control, and could not be connected to the Internet formonitoring from the cloud. For advanced database analysis and networking capability, the PC platform must be adopted. Therefore, PAC Systems (Programmable Automation Controller) with both PLC programming capabilities andPC functions is a better choice.The environmental control of the Orchid greenhouse switches on and off devices like fan, shade net, cooling/heat pump, liquid flow control, water-cooling wall etc. It is controlled by a control panel of electric controllers, and is driven by a motor, to adjust the greenhouse temperature, humidity, and other environmental conditions to the set parameters.