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SUV驶过城市道路和高速公路时，车内的光谱系统每秒读出一次甲烷数据。华东师范大学研究人员完成了1小时、47公里的路测，车辆最高速度达到100公里/小时，并用受控释放装置模拟天然气泄漏，追踪气体羽流的位置。
As the SUV drove through urban roads and highways, its onboard spectroscopic system took a methane reading once per second. Researchers at East China Normal University completed a 1-hour, 47 km road test, with the vehicle reaching a top speed of 100 km/h. They used a controlled-release device to simulate a natural gas leak and track the location of the gas plume.
这套设备能测到66 ppb精度的甲烷。它把中红外双光梳光谱装进紧凑硬件：两个精确匹配的频率梳提供多个等间距波长，中红外光穿过一个开放式气体池，在周围空气中形成25米光路。许多分子在中红外区域具有独特的吸收特征，因此可以用于灵敏的气体识别。
The equipment can measure methane with a precision of 66 ppb. It packs mid-infrared dual-comb spectroscopy into compact hardware: two precisely matched frequency combs provide multiple evenly spaced wavelengths, while mid-infrared light passes through an open-path gas cell to create a 25 m optical path through the surrounding air. Many molecules have distinctive absorption signatures in the mid-infrared region, making it suitable for sensitive gas identification.
移动测量的难点不只是把仪器装上车。环境噪声和车辆振动会影响双光梳光谱系统的表现，研究团队正是针对这一问题改进设计。测试中，系统测得的背景甲烷平均浓度为1.815 ppm，结果保持稳定；围绕一个模拟泄漏点行驶后生成的二维浓度图，也与当地风向模式高度吻合。研究结果发表于《光学快报》，系统的品质因数达到3.4 × 10⁶ Hz，与典型实验室中红外双光梳光谱系统相当。
The challenge of mobile measurement is not simply mounting the instrument on a vehicle. Environmental noise and vehicle vibrations can affect the performance of dual-comb spectroscopy systems, and the research team refined the design to address this problem. During testing, the system measured an average background methane concentration of 1.815 ppm, with stable results. A two-dimensional concentration map generated after the vehicle drove around a simulated leak site also closely matched local wind patterns. The findings were published in Optics Letters, and the system achieved a figure of merit of 3.4 × 10⁶ Hz, comparable to that of typical laboratory mid-infrared dual-comb spectroscopy systems.
具体来说，这意味着城市和天然气企业可以用一辆车寻找肉眼看不见的泄漏热点，而不必先在现场部署硬件。系统还能记录GPS坐标并通知维修人员，帮助把检修力量集中到更准确的位置；天然气基础设施、垃圾填埋场、畜牧场和煤矿等区域，都可能成为移动巡检的应用对象。甲烷泄漏还可能带来火灾和爆炸隐患，因此定位更准确，既有助于减少资源浪费，也可能改善附近居民的空气质量。
In practical terms, this means cities and natural gas companies could use a vehicle to search for leak hotspots invisible to the naked eye without first deploying hardware on site. The system can also record GPS coordinates and notify maintenance crews, helping direct repair efforts more accurately. Natural gas infrastructure, landfills, livestock farms and coal mines could all become targets for mobile inspections. Methane leaks may also create fire and explosion hazards, so more accurate detection could both reduce resource waste and potentially improve air quality for nearby residents.
但它还不是现成的商业化巡检产品。研究团队计划扩大光谱覆盖范围，以同时检测多种痕量气体，抑制长时间积分中的基线漂移，并开发适合海量移动数据的自动分析软件；他们还希望继续缩小设备的尺寸、重量和成本，最终集成到无人机上，用于道路难以到达的区域。
But it is not yet a ready-to-use commercial inspection product. The research team plans to expand the spectral coverage to detect multiple trace gases simultaneously, suppress baseline drift during long integrations and develop automated analysis software suited to large volumes of mobile data. The team also hopes to further reduce the equipment’s size, weight and cost, ultimately integrating it into a drone for use in areas that are difficult to reach by road.