Internet Of Things 简明教程
IoT - Environmental Monitoring
物联网在环境监控中的应用十分广泛——环境保护、极端天气监控、水安全、濒危物种保护、商业化养殖等等。在这些应用中，传感器检测并测量每种类型的环境变化。
The applications of IoT in environmental monitoring are broad − environmental protection, extreme weather monitoring, water safety, endangered species protection, commercial farming, and more. In these applications, sensors detect and measure every type of environmental change.
Air and Water Pollution
当前用于空气和水安全的监控技术主要使用人工劳动以及先进的仪器和实验室处理。物联网通过减少对人工劳动的需求、允许频繁取样、增加取样和监控的范围、允许在现场进行复杂测试以及将响应工作与检测系统绑定，从而改进了这项技术。这使我们能够防止严重的污染和相关灾害。
Current monitoring technology for air and water safety primarily uses manual labor along with advanced instruments, and lab processing. IoT improves on this technology by reducing the need for human labor, allowing frequent sampling, increasing the range of sampling and monitoring, allowing sophisticated testing on-site, and binding response efforts to detection systems. This allows us to prevent substantial contamination and related disasters.
Extreme Weather
尽管目前使用的高级系统功能强大，可以进行深度监控，但它们存在使用诸如雷达和卫星之类的广泛仪器而不是更精细的解决方案的问题。它们用于较小细节的仪器缺乏与更强大技术相同的准确定位。
Though powerful, advanced systems currently in use allow deep monitoring, they suffer from using broad instruments, such as radar and satellites, rather than more granular solutions. Their instruments for smaller details lack the same accurate targeting of stronger technology.
新的物联网发展承诺提供更精细的数据、更高的准确性和灵活性。有效的预测需要在范围、工具类型和部署方面具有高细节和灵活性。这样可以进行早期检测和早期响应，防止人命和财产损失。
New IoT advances promise more fine-grained data, better accuracy, and flexibility. Effective forecasting requires high detail and flexibility in range, instrument type, and deployment. This allows early detection and early responses to prevent loss of life and property.
Commercial Farming
当今复杂化商业农场已经利用先进技术与生物技术相当一段时间，但是，物联网引入了更多更深入自动和分析的途径。
Today’s sophisticated commercial farms have exploited advanced technology and biotechnology for quite some time, however, IoT introduces more access to deeper automation and analysis.
很多商业化农场，例如天气监测，都存在精度不足的情况，并且需要人力在监测领域工作。其自动化还保持受限。
Much of commercial farming, like weather monitoring, suffers from a lack of precision and requires human labor in the area of monitoring. Its automation also remains limited.
物联网允许操作去除大部分系统功能、农场分析和监测中的人工干预。系统可以检测出农作物、土壤、环境等方面的变化。它们通过对大量丰富的数据集合进行分析来优化标准流程。它们还可以防止健康危害（例如大肠杆菌）的发生，并允许更好的控制。
IoT allows operations to remove much of the human intervention in system function, farming analysis, and monitoring. Systems detect changes to crops, soil, environment, and more. They optimize standard processes through analysis of large, rich data collections. They also prevent health hazards (e.g., e. coli) from happening and allow better control.