automatic sampling

简明释义

1. 自动取样; 2. 自动进样;

英英释义

例句

1.The sensor system is designed for automatic sampling of environmental pollutants.

传感器系统旨在对环境污染物进行自动采样。

2.With automatic sampling, the process is more efficient and reduces human error.

通过自动采样，过程更加高效并减少人为错误。

3.The lab uses automatic sampling to ensure consistent and accurate data collection.

实验室使用自动采样来确保一致和准确的数据收集。

4.Our research project relies on automatic sampling to gather large amounts of data quickly.

我们的研究项目依赖于自动采样快速收集大量数据。

5.The water treatment facility implemented automatic sampling to monitor quality continuously.

水处理设施实施了自动采样以持续监测水质。

作文

In the modern world, technology has significantly influenced various industries, particularly in the field of data collection and analysis. One of the most notable advancements is the concept of automatic sampling, which refers to the process of collecting data or samples automatically without the need for human intervention. This technique has revolutionized how researchers and companies gather information, making it more efficient and accurate. The importance of automatic sampling can be seen in numerous applications, ranging from environmental monitoring to quality control in manufacturing. For instance, in environmental science, sensors can be deployed in rivers or air quality stations to continuously collect data on pollutants. These sensors use automatic sampling methods to take readings at predetermined intervals, ensuring that researchers have a comprehensive understanding of environmental changes over time. This real-time data collection allows for quicker responses to potential environmental hazards, ultimately benefiting public health and safety.In the manufacturing sector, automatic sampling plays a critical role in quality assurance. Companies often implement automated systems that regularly check product quality during production. By using automatic sampling, manufacturers can detect defects early in the process, reducing waste and ensuring that only high-quality products reach consumers. This not only saves time and resources but also enhances customer satisfaction by maintaining consistent quality standards.Moreover, the use of automatic sampling extends to the field of market research. Businesses can gather consumer feedback through automated surveys sent via email or mobile apps. By analyzing the data collected through automatic sampling, companies can gain insights into consumer behavior and preferences, allowing them to make informed decisions about product development and marketing strategies. This approach minimizes bias since the data collection is systematic and less influenced by human error.Despite its advantages, there are challenges associated with automatic sampling. One major concern is the reliability of the equipment used for data collection. If sensors malfunction or are improperly calibrated, the data collected may be inaccurate, leading to flawed conclusions. Therefore, regular maintenance and calibration of these devices are essential to ensure the integrity of the data.Furthermore, while automatic sampling can enhance efficiency, it is crucial to consider the ethical implications of automated data collection, especially when personal data is involved. Organizations must ensure that they comply with data protection regulations and respect individuals' privacy rights. This highlights the need for transparency in how data is collected and used.In conclusion, automatic sampling represents a significant advancement in data collection methods across various fields. Its ability to provide accurate and timely data has transformed research, manufacturing, and market analysis. However, as we embrace this technology, it is vital to address the challenges and ethical considerations that accompany it. By doing so, we can harness the full potential of automatic sampling while ensuring responsible and effective data management.

在现代社会，科技对各个行业产生了重大影响，尤其是在数据收集和分析领域。其中一个最显著的进展是自动采样的概念，它指的是在没有人工干预的情况下自动收集数据或样本的过程。这一技术彻底改变了研究人员和公司收集信息的方式，使其更加高效和准确。

自动采样的重要性可以在众多应用中看到，从环境监测到制造业的质量控制。例如，在环境科学中，传感器可以部署在河流或空气质量监测站，以持续收集污染物的数据。这些传感器使用自动采样方法在预定时间间隔内进行读取，确保研究人员全面了解环境变化。这种实时数据收集使得对潜在环境危害的快速响应成为可能，最终有利于公众健康和安全。

在制造业中，自动采样在质量保证中发挥着关键作用。公司通常实施自动化系统，定期检查生产过程中的产品质量。通过使用自动采样，制造商可以在生产过程中及早发现缺陷，减少浪费，并确保只有高质量的产品到达消费者手中。这不仅节省了时间和资源，还通过维持一致的质量标准来增强客户满意度。

此外，自动采样的使用还扩展到市场研究领域。企业可以通过自动发送的电子邮件或移动应用程序收集消费者反馈。通过分析通过自动采样收集的数据，公司可以深入了解消费者行为和偏好，从而做出有关产品开发和营销策略的明智决策。这种方法最小化了偏见，因为数据收集是系统性的，较少受到人为错误的影响。

尽管有其优势，但与自动采样相关的挑战也存在。一个主要问题是用于数据收集的设备的可靠性。如果传感器故障或校准不当，收集的数据可能不准确，从而导致错误的结论。因此，定期维护和校准这些设备对于确保数据的完整性至关重要。

此外，尽管自动采样可以提高效率，但在自动数据收集涉及个人数据时，考虑伦理问题也至关重要。组织必须确保遵守数据保护法规，并尊重个人隐私权。这突显了在数据收集和使用过程中需要保持透明度的重要性。

总之，自动采样代表了各个领域数据收集方法的重大进步。它提供准确和及时的数据的能力已经改变了研究、制造和市场分析。然而，随着我们拥抱这一技术，解决伴随而来的挑战和伦理考虑至关重要。通过这样做，我们可以充分利用自动采样的潜力，同时确保负责任和有效的数据管理。