engineering source data

简明释义

工程技术来源资料

英英释义

例句

1.A comprehensive review of the engineering source data revealed several inconsistencies.

对工程源数据的全面审查揭示了几个不一致之处。

2.The project team analyzed the engineering source data to ensure all specifications were met.

项目团队分析了工程源数据以确保所有规格都得到了满足。

3.We need to validate the engineering source data before proceeding with the design phase.

在进入设计阶段之前，我们需要验证工程源数据。

4.The engineering source data was collected from various field surveys and experiments.

该工程源数据是从各种现场调查和实验中收集的。

5.Accurate engineering source data is crucial for the success of any construction project.

准确的工程源数据对任何建设项目的成功至关重要。

作文

In the field of engineering, data plays a critical role in shaping the outcomes of projects and innovations. One of the essential components of this data is referred to as engineering source data, which encompasses the raw information that engineers utilize to design, analyze, and implement various systems and structures. Understanding engineering source data is crucial for anyone involved in the engineering profession, as it directly influences the quality and accuracy of the work produced.To begin with, engineering source data can include a variety of information types, such as measurements, specifications, and historical performance data. For instance, when designing a bridge, engineers must gather data on materials, stress factors, environmental conditions, and past project outcomes. This foundational data serves as the basis for calculations and simulations that ensure the safety and functionality of the structure. Without accurate engineering source data, the risk of failure increases significantly, potentially leading to catastrophic results.Moreover, the collection of engineering source data often involves sophisticated techniques and tools. Engineers may use sensors, surveys, or computer simulations to gather the necessary information. For example, in civil engineering, geotechnical surveys are conducted to understand soil characteristics before constructing a building. The data obtained from these surveys becomes part of the engineering source data, informing decisions about foundation design and material selection.Another important aspect of engineering source data is its role in collaboration among different engineering disciplines. In multidisciplinary projects, such as the development of a new transportation system, civil, mechanical, and electrical engineers must share and integrate their respective data sets. Effective communication and management of engineering source data are vital to ensuring that all components work harmoniously together. This collaborative approach not only enhances the project's efficiency but also mitigates potential risks associated with miscommunication or data discrepancies.Furthermore, the advancement of technology has transformed how engineering source data is collected, stored, and analyzed. With the rise of big data and artificial intelligence, engineers now have access to vast amounts of information that can be processed quickly and accurately. This evolution enables more informed decision-making and predictive modeling, ultimately leading to better project outcomes. For example, predictive analytics can help engineers anticipate potential issues based on historical engineering source data, allowing for proactive solutions rather than reactive fixes.In conclusion, engineering source data is an indispensable element of the engineering process. It provides the foundation for design, analysis, and implementation, influencing the success of engineering projects. As technology continues to advance, the methods of collecting and utilizing engineering source data will evolve, further enhancing the capabilities of engineers. Therefore, a thorough understanding of engineering source data is essential for aspiring engineers and professionals alike, as it equips them with the knowledge needed to tackle complex challenges and contribute to innovative solutions in the ever-evolving field of engineering.

在工程领域，数据在塑造项目和创新的结果中发挥着关键作用。其中一个重要组成部分被称为工程源数据，它包含了工程师用来设计、分析和实施各种系统和结构的原始信息。理解工程源数据对任何参与工程职业的人来说都是至关重要的，因为它直接影响到所产生工作的质量和准确性。首先，工程源数据可以包括多种信息类型，例如测量、规格和历史性能数据。例如，在设计一座桥时，工程师必须收集有关材料、应力因素、环境条件和过去项目结果的数据。这些基础数据作为计算和模拟的基础，确保结构的安全性和功能性。如果没有准确的工程源数据，失败的风险显著增加，可能导致灾难性的结果。此外，收集工程源数据通常涉及复杂的技术和工具。工程师可能使用传感器、调查或计算机模拟来收集必要的信息。例如，在土木工程中，进行岩土调查以了解土壤特性，然后再建造建筑物。从这些调查中获得的数据成为工程源数据的一部分，为基础设计和材料选择提供信息。工程源数据的另一个重要方面是它在不同工程学科之间协作中的作用。在多学科项目中，例如新交通系统的开发，土木、机械和电气工程师必须共享和整合各自的数据集。有效的沟通和管理工程源数据对于确保所有组件协调工作至关重要。这种协作方法不仅提高了项目的效率，还降低了由于沟通不畅或数据差异而带来的潜在风险。此外，技术的进步改变了收集、存储和分析工程源数据的方式。随着大数据和人工智能的兴起，工程师现在可以快速准确地访问大量信息。这种演变使得更明智的决策和预测建模成为可能，最终导致更好的项目结果。例如，预测分析可以帮助工程师根据历史工程源数据预见潜在问题，从而允许主动解决方案，而不是被动修复。总之，工程源数据是工程过程不可或缺的元素。它为设计、分析和实施提供基础，影响工程项目的成功。随着技术的不断进步，收集和利用工程源数据的方法将不断演变，进一步增强工程师的能力。因此，深入理解工程源数据对未来的工程师和专业人士来说都是必不可少的，因为这使他们具备应对复杂挑战和为不断发展的工程领域贡献创新解决方案所需的知识。