在工业领域,我们正在不断努力,以实现一个智能工厂,从原材料验收到最终产品的生产线通过旨在改善质量控制和节省人工的网络连接起来。其中一项工作是将生产线与分析和检查过程整合。近年来,在制造业中,由于出生率下降和人口老龄化而导致的人为因素和人工短缺,产品质量问题被列为主要问题。一个解决方案是在分析和检查过程中实现节省人工的紧急任务。然而,到目前为止,很难进行在线检查,因为使用分析仪器的检查过程通常涉及复杂的测量和成本问题。这种情况使 LIBS 作为一种支持在线分析和检查的有前景的技术而备受瞩目。
LIBS 是 Laser-Induced Breakdown Spectroscopy(激光诱导分解光谱法)的缩写,这是一种光谱分析技术,使用激光快速分析目标物体中包含的多种元素。当短脉冲激光光束被照射到目标物体的表面时,它导致目标物体热蒸发并产生等离子体。在等离子体内,从原子发射的电子与电离原子再结合,并在回归其原始原子状态的过程中产生独特的光谱。在元素层面测量物质光谱。通过将这种复杂的元素信息与 AI 技术相结合,现在可以获得高度准确的分析信息。
原理图
LIBS 的优势在于不需要对目标物体进行复杂的预测量处理,无论物体的状态如何(气体、液体、固体)。这实现了在线检查所需的高速、非接触式检查,并且还允许分析各种物质,例如塑料、金属和玻璃。这意味着 LIBS 技术将证明在各种制造工厂进行在线检查方面大有可为。
在线测量图像
LIBS 可以检测硅、铁、碳和钙的光谱特性,这些是煤燃烧产物中飞灰的主要组成元素。这使得 LIBS 非常适用于钢铁制造业,可以测量钢铁制造中的副产品,即钢渣,以便进行实时质量控制。此外,还可以测量飞灰中的含碳量,并将其送回以控制炉的燃烧温度。
在钢铁制造工艺等高温环境中,由于极热,分析仪器无法安装在附近。这样在分析和检查中就难以获得准确的结果。但现在应用 LIBS 可确保即使在远程位置也能进行高度准确的属性分析。已有计划在从原材料选择到轧制过程的钢铁制造中执行所有检查过程,以提高产品质量。
在回收领域,准确识别大量混合废料的技术对于实现更高效的回收至关重要。使用 LIBS 可以高度准确地筛选属性难以直观识别的材料,从而有助于更有效地重新利用资源。
我们拥有一系列适用于 LIBS 的光接收和发射设备,包括 CCD 线阵图像传感器和固体激光器,它们紧凑、轻便且易于安装在设备上。
这款前照式 CCD 线阵图像传感器具有高速电子快门功能。采用可快速移动像素电荷的结构,使电荷重置更快。
光谱响应范围:200 nm 至 1000 nm
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