专业知识

虹膜边缘

如果有一种方法可以看到不可见的东西呢? 虹膜边缘是世界上最快、最准确的甲烷检测工具.

简化甲烷检查

虹膜边缘平台结合了专家技术, 值得信赖的传感器, 定制的部署硬件简化了甲烷检查的合规性, helps you eliminate penalties quickly and accelerates your decarbonisation strategy.

无与伦比的甲烷定位和量化

虹膜边缘是你以劳动效率Cost增加收益的关键, 提供完全自主的数据分析, auditable results for reporting certification and unmatched methane localisation and quantification.

现在就减少甲烷

我们的软件是市场上最快的, cheaper than current alternatives and the most precise globally available with the ability to drill down to the detail.

准确的
  • Most precise tool on the market - precise analysis and mapping pinpoints - able to drill down to the detail - locating the exact location of methane leaks.
  • 符合所有美国法律要求.
  • 确定甲烷惩罚暴露的真实程度.
  • 展示对脱碳的持续承诺.
非常高效。
  • 您需要的数据,及时,明智的决策.
  • 市场上最快的,能够在24小时内检测和确定修复.
  • 不需要经过认证的专业人员来完成这项工作, 团队成员可以继续他们的一天, 在我们的行动中提供谨慎的服务.
有效的
  • 例行测绘量化通过减排实现的减排.
  • 多个部署选项.
  • 市场上最具Cost效益的选择.

低CostSolutions

不需要训练有素的技术人员

On-field personnel perform inspections without the this enables seamless integration into routine duties and 'fit-for-purpose' deployments across different platforms.

This exponentially decreases costs and allows technicians to perform inspections quickly and efficiently resulting in optimised operations and improved productivity.

无缝集成到现有的操作

我们提供简单的集成和定制,以满足您的设施的独特需求. As the software can effectively operate as a handheld device and on any robot or drone on the market.

我们已经成功探测到, 量化, 并报告了9个天然气设施的逃逸排放物.

与传统工具相比,虹膜边缘具有Cost效益:

高达90%的硬件节省
使用现场人员可节省高达80%的劳动力Cost
每次检查节省高达85%

虹膜边缘 is able to locate the exact location of methane leaks utilising 3D visualisation software.

看看如何实现虹膜边缘

点击下面的按钮,我们的一位顾问将很快回复您.

开始

Wood has been optimising equipment maintenance and reliability of asset-intensive industries for 25+ years.

我们在创新和对第一性原理的理解方面有着悠久的历史, 开创了设备状态监测领域, working 关闭ly with clients and our partners in building sensing hardware and predictive maintenance software to troubleshoot and resolve critical equipment problems.

A recent example has seen our teams co-design our client's wireless vibration sensors, 具备高集成度, 精确测量, 数据采集速率为1-15分钟,并将这些传感器共同部署到20 / 2,在其中一个液化天然气站点安装了000个翅片风扇. 我们的贡献将开发和部署加快了2年.

基于广泛的客户知识和10多年的运营数据, we created and deployed explainable artificial intelligence models to production within four months.

我们创建了一个无线传感器策略评估框架, capable of rapidly qualifying market sensors and building and developing an integrated architecture.

We have convinced our client's chief engineers to trust our transparent sensing analytics approach and architecture across all seven existing and new assets.