技术
- 应用基础设施与中间件 - 数据可视化
- 传感器 - 自动驾驶传感器
适用行业
- 航天
- 汽车
适用功能
- 维护
- 产品研发
用例
- 智能停车
- 车辆到基础设施 (V2I)
服务
- 数据科学服务
关于客户
Prodrive 成立于 1984 年,专注于赛车运动,如今为汽车、航空航天、国防和船舶领域的企业开发创新的工程解决方案。该公司一直是赛车运动领域一些最伟大人物的幕后黑手。例如,它已经制造了近 400 辆阿斯顿·马丁 GT 赛车,并继续在公司举办的每场比赛中为其提供支持。其复合材料部门生产轻质碳纤维增强聚合物和视觉碳部件。 Prodrive 是英国同类公司中最大的公司,也是赛车运动技术的世界领先者,在一级方程式赛车、达喀尔拉力赛、勒芒和世界拉力锦标赛中屡获殊荣。
挑战
Prodrive 是一家领先的赛车技术公司,其遗留分析系统面临着重大挑战。该系统从汽车中收集传感器数据,但难以处理长时间收集的大型数据集。分析汽车整个生命周期内的发动机数据对于 Prodrive 至关重要,因为它可以提供有关设计和制造调整的宝贵见解,从而提高车辆性能。此外,准确预测关键部件何时可能发生故障将有助于赛车队在比赛期间优化进站时间。考虑到 Prodrive 制造的汽车中的传感器数量及其采样频率,汽车在整个生命周期内收集的数据量是巨大的。每辆车在平均比赛周末可以产生大约 0.5 TB 的数据,在测试运行期间每周可以产生 5 到 10 TB 的数据。 Prodrive 需要能够管理大量数据、提供更好的管理功能并支持快速开发和实施周期的数据分析软件。
解决方案
Prodrive 寻求一种解决方案,可以处理和可视化多个高频实时数据流,并改善与管理人员就重要发现进行的沟通。他们一直在使用Python和类似的工具来开发自定义仪表板和流处理应用程序,但这些工具无法满足他们的容量需求,用户不友好,需要很长的开发时间,并且需要经验丰富的编码人员团队。 Prodrive 向 16 年来值得信赖的供应商 Altair 寻求帮助,并调查 Altair 的数据分析平台是否是他们所需的解决方案。该团队选择 Altair Panopticon™ 来满足数据可视化和流处理要求,然后与 Altair 合作进行概念验证部署,结果证明是成功的。如今,Prodrive 使用 Panopticon 在仪表板中显示从其汽车传入的历史和实时数据流,Prodrive 工程师无需 IT 协助即可设计、部署和维护。其流处理应用程序可以进行即时比较,并将复杂的统计函数应用于数据,以自动识别异常值和异常情况。
运营影响
数量效益
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