Our philosophy on accuracy 我们的准确性保障理念

This is the third post in our series of deeper dives into the four pillars of our design philosophy – safety, reliability, accuracy, and resilience – and how they’re are embodied in our technology. Our previous posts focused on our commitment to safety and features of our design aimed at reducing downtime. Today’s post focuses on accuracy.

这是我们系列文章中的第三篇，这个系列深入探讨我们设计理念的四大支柱——安全性、可靠性、准确性和坚韧性——以及它们是如何体现在我们的漂浮式激光雷达测风装置中的。之前的文章主要关注了我们对安全的承诺以及我们为降低停机风险所做的特殊的设计，而今天的文章将关注的是准确性。

Prior to the advent of floating LiDARs, met masts were the industry standard for capturing accurate wind data. The problem, however, was that they did so by introducing significant time and financial barriers. Floating LiDARs, by contrast, don’t require expensive foundations to be built into the seabed and are therefore a powerful tool for reducing development costs and unlocking deep-water sites that would otherwise be cost-prohibitive. (This is especially important with the recent emergence of floating turbines to facilitate windfarm development in deeper waters.)

在漂浮式激光雷达出现之前，利用固定测风塔测风是行业内测量并获取高精度风资源数据的标准。然而，问题在于通过这种方法需要花费大量的时间和资金。相比之下，漂浮式激光雷达不需要在海床上建立昂贵的地基，因此这是降低开发成本和解锁深海场址的强大工具，否则成本将是高昂的。(近几年随着浮式风机的出现，这一点显得尤为重要，因为它促进了深海风力发电场的发展。)

But while reducing costs and opening new frontiers are exciting prospects, any alternative to the old technology is only viable if it can achieve the standard of accuracy developers have come to expect. Generally speaking, a 1% decrease in data uncertainty accounts for approximately 3% in energy uncertainty, so the cost to a developer and its financing partners from even a minor deviation can be substantial.

但是，虽然降低成本和开辟新领域是令人兴奋的，但任何替代旧技术的方法只有达到开发者期望的准确性标准才可行。一般来说，所测数据不确定性降低1%就会导致能源不确定性降低约3%，所以即使是一个微小的偏差也会给开发商及其融资伙伴带来巨大的成本。

Wind speed and wind turbine power output are related through the above formula, where ρ and A correspond to air density and swept area, respectively.

风速和风机输出功率的关系通过上式反应，其中ρ和A分别对应空气密度和扫风面积。

To ensure floating LiDARs measure up, suppliers typically quantify their performance by conducting a trial wind measurement campaign alongside a traditional met mast and comparing the two data sets. Using this approach, we can confidently say that our technology meets The Carbon Trust’s Offshore Wind Accelerator (“OWA”) Floating LiDAR Roadmap’s best practice criteria - the preeminent industry standard.

为了确保漂浮式激光雷达达到要求标准，供应商通常将其投放至一个传统的固定测风塔旁进行测风对比来量化他们的性能。使用这种方法，我们可以自信地说，我们的技术满足OWA规划图中的最佳实践标准 - 卓越的行业标准。

We’re able to achieve these results using a sophisticated motion compensation algorithm (to remove the effect of buoy movement from the collected data) and a structural design that lowers the buoy’s center of gravity (to maintain a tilt angle below 15° over 99% of the time and ensure the collected raw data remains a valid input to the algorithm).

我们能够使用精确的运动补偿算法（从采集的数据中消除浮标运动对数据的影响）以及较低浮体重心的结构设计（在99%以上的时间内保持倾斜角度15度以内，并确保收集到的原始数据仍然是算法的有效输入）来实现这些结果。

Ultimately, the challenge of offshore wind measurement is to collect accurate data consistently at remote sites and under harsh conditions. With world-class technology, thoughtful design choices, and a dedicated team who understands the importance of a wind measurement campaign in the lifecycle of a development project, we’re tackling that challenge head-on.

最后，海上风资源测量的挑战是能够在深海地区以及恶劣条件下连续准确地采集数据。凭借世界一流的技术、周到的设计选择以及一个理解风资源测量在风资源开发项目的生命周期中重要性的敬业团队，我们将正面迎击这一挑战。