semi-automatic position fixing

简明释义

半自动定位法

英英释义

例句

1.The surveying equipment is equipped with semi-automatic position fixing to streamline the data collection process.

该测量设备配备了半自动定位修正功能，以简化数据收集过程。

2.In maritime operations, the vessel's GPS utilizes semi-automatic position fixing to enhance its accuracy in rough waters.

在海洋作业中，船只的GPS利用半自动定位修正来提高在恶劣水域中的准确性。

3.The application of semi-automatic position fixing in agriculture allows for precise field mapping and crop monitoring.

在农业中应用半自动定位修正可以实现精确的田地测绘和作物监控。

4.The new drone features advanced navigation systems with semi-automatic position fixing that allows it to maintain stability during flight.

这款新无人机配备了先进的导航系统，具有半自动定位修正功能，可以在飞行过程中保持稳定。

5.With semi-automatic position fixing, the robot can navigate through complex environments without constant human intervention.

通过半自动定位修正，机器人可以在复杂环境中导航，而无需持续的人为干预。

作文

In the realm of navigation and location tracking, the term semi-automatic position fixing plays a crucial role. This technology blends human intervention with automated systems to determine precise locations. Unlike fully automatic systems that rely solely on algorithms and satellite data, semi-automatic position fixing allows operators to manually input certain parameters or make adjustments based on real-time observations. This hybrid approach enhances accuracy, especially in challenging environments where signals may be obstructed or unreliable.The significance of semi-automatic position fixing can be observed in various fields such as maritime navigation, aviation, and even in personal GPS devices. For instance, in maritime navigation, captains often encounter situations where GPS signals are weak due to geographical features like mountains or tall buildings. In such cases, relying entirely on automatic systems could lead to errors. By employing semi-automatic position fixing, navigators can cross-reference their position with charts and landmarks, ensuring a more reliable fix on their location.Similarly, in aviation, pilots utilize semi-automatic position fixing during critical phases of flight, such as landing or navigating through dense urban areas. While autopilot systems can manage many aspects of flying, pilots remain vigilant and can intervene when necessary, using their judgment to adjust the flight path based on visual cues or air traffic conditions. This combination of automated and manual input not only improves safety but also provides pilots with greater control over their aircraft.Moreover, in the context of personal navigation devices, semi-automatic position fixing is essential for users who may travel in unfamiliar areas. These devices often suggest routes based on GPS data, but they also allow users to modify their paths based on local knowledge or preferences. For example, a user might choose to avoid a congested area or take a scenic route, which the device can accommodate through semi-automatic position fixing. This adaptability makes navigation more user-friendly and efficient.The advantages of semi-automatic position fixing extend beyond just accuracy; they also encompass efficiency and flexibility. With this method, users can respond to real-time changes in their environment, making it particularly useful in dynamic situations. In emergency services, for example, responders can quickly ascertain their location and adjust their routes based on current conditions, leading to faster response times and improved outcomes.However, it is essential to acknowledge the challenges associated with semi-automatic position fixing. The reliance on human input means that there is a potential for error, especially if the operator is not adequately trained or aware of the surrounding environment. Therefore, investing in training and technology that supports operators in making informed decisions is crucial. Additionally, as technology continues to evolve, the integration of artificial intelligence and machine learning into semi-automatic position fixing systems could further enhance their efficacy by predicting environmental changes and suggesting optimal adjustments.In conclusion, semi-automatic position fixing represents a vital intersection between technology and human expertise. Its application across various fields highlights its importance in ensuring accurate and reliable navigation. As we continue to advance in technology, understanding and optimizing semi-automatic position fixing will be key to enhancing our navigation systems and improving overall safety and efficiency in transportation.

在导航和位置跟踪的领域中，术语半自动定位修正扮演着至关重要的角色。这项技术将人工干预与自动系统相结合，以确定精确的位置。与完全自动化系统仅依赖算法和卫星数据不同，半自动定位修正允许操作员手动输入某些参数或根据实时观察进行调整。这种混合方法提高了准确性，尤其是在信号可能被阻挡或不可靠的挑战性环境中。半自动定位修正的重要性可以在海洋导航、航空甚至个人GPS设备等多个领域中观察到。例如，在海洋导航中，船长经常遇到由于地理特征（如山脉或高楼大厦）而导致GPS信号微弱的情况。在这种情况下，完全依赖自动系统可能会导致错误。通过采用半自动定位修正，导航员可以与图表和地标进行交叉参考，从而确保对其位置的更可靠修正。同样，在航空领域，飞行员在飞行的关键阶段（如着陆或穿越密集城市区域）利用半自动定位修正。虽然自动驾驶系统可以管理飞行的许多方面，但飞行员始终保持警惕，并可以在必要时进行干预，利用他们的判断基于视觉线索或空中交通条件调整飞行路径。这种自动与手动输入的结合不仅提高了安全性，还为飞行员提供了对其飞机的更大控制权。此外，在个人导航设备的上下文中，半自动定位修正对于在陌生地区旅行的用户至关重要。这些设备通常基于GPS数据建议路线，但它们也允许用户根据当地知识或偏好修改路径。例如，用户可能选择避开拥堵区域或选择风景优美的路线，而设备可以通过半自动定位修正来适应这一点。这种适应性使导航更加用户友好和高效。半自动定位修正的优势不仅限于准确性；还包括效率和灵活性。通过这种方法，用户可以对环境中的实时变化做出反应，这在动态情况下特别有用。在紧急服务中，例如，响应者可以快速确认他们的位置并根据当前条件调整路线，从而导致更快的响应时间和改善的结果。然而，必须承认与半自动定位修正相关的挑战。对人类输入的依赖意味着可能出现错误，尤其是当操作员没有接受充分培训或对周围环境缺乏了解时。因此，投资于培训和支持操作员做出明智决策的技术至关重要。此外，随着技术的不断发展，将人工智能和机器学习整合到半自动定位修正系统中，可能通过预测环境变化并建议最佳调整，进一步增强其效果。总之，半自动定位修正代表了技术与人类专业知识之间的重要交汇点。它在各个领域的应用突显了其在确保准确和可靠导航方面的重要性。随着我们在技术上的不断进步，理解和优化半自动定位修正将是提升我们的导航系统和改善交通运输整体安全性和效率的关键。