下载PDF
Navily Enhances Maritime Safety with Meteomatics' Weather Data
技术
- 分析与建模 - 实时分析
- 传感器 - 全球定位系统
适用行业
- 设备与机械
- 海洋与航运
适用功能
- 质量保证
用例
- 实时定位系统 (RTLS)
- 时间敏感网络
服务
- 系统集成
- 测试与认证
挑战
Navilly 是一个面向休闲划船者的数字平台，在向用户提供准确、及时的天气预报方面面临着挑战。该应用程序充当巡航指南、预订平台和帆船社区，依赖于一家天气数据提供商，该提供商由于依赖单一天气预报模型而无法提供精确的预报。这种精度的缺乏是一个重大问题，因为天气条件对于航行至关重要，决定了海上旅程的成功和安全。抛锚地点的决定在很大程度上受到天气条件的影响，不利或快速变化的条件可能会导致事故，从而可能使乘客面临生命危险。 Navilly 的目标是通过为每个锚地提供推荐分数来简化用户的决策过程，同时考虑到用户评分、天气预报和锚地提供的自然保护。然而，缺乏准确的天气数据阻碍了这一进程。
关于客户
Navilly 是一个面向休闲划船者的数字平台，通常被称为“海上旅行顾问”。该应用程序作为巡航指南、预订平台和帆船社区，提供频繁的海况更新和用户之间实时信息交流的空间。 Navilly 覆盖地中海和加勒比海，旨在帮助水手预订最好的码头并找到最安全的锚地。该应用程序在全球拥有超过 500,000 名用户，包含超过 25,000 个码头和锚地的信息。它还允许用户预订欧洲 700 多个码头的位置。该应用程序提供锚地天气情况的实时数据、预报和警报，用户可以通过应用程序内聊天与其他用户和码头交换信息。
解决方案
Navilly 向 Meteomatics 寻求解决方案来应对天气数据挑战。 Meteomatics 的 API 提供基于不同模型组合的天气数据，确保为每个时间和位置选择最佳数据源。这种方法为海军带来了更高质量的天气数据。 Meteomatics 的工程师还与 Navilly 密切合作，提高海岸线水温预报的精度，这是确定码头和锚地情况的关键因素。借助 Meteomatics，Navily 能够使用对于沿海每个位置而言更加准确的数据进行操作，而之前提供商的数据则在海上 20 至 50 公里之外。此外，Navily 的开发人员对从 Meteomatics API 接收数据的速度印象深刻，解决了之前响应时间慢和停机时间长的问题。
运营影响
数量效益
相关案例.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.
