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Urbint
概述
公司介绍
使公用事业和基础设施运营商能够使社区更安全、更有弹性。 Urbint 是一家致力于基础设施和公用事业安全的人工智能公司。我们创建了人工智能驱动的解决方案,使公用事业和基础设施运营商能够最大限度地降低每一美元所花费的风险,并在正确的时间将正确的资源部署到正确的地方。结果是什么?更强大的基础设施。降低风险。最终,更安全和更有弹性的社区。
物联网解决方案
我们通过将我们的世界模型与手头挑战的历史数据相结合来训练 AI 模型,使 AI 能够预测未来的挑战实例。通过使用非线性机器学习技术,人工智能甚至可以学会识别尚未发生的事件的模式和序列。管理安全性、弹性和可负担性 公用事业管理其社区的安全性、弹性和可负担性。我们的软件可帮助您优化安全性和弹性,同时保持可负担性。
技术栈
Urbint的技术栈描绘了Urbint在等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
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弱
中等
强
实例探究.
Case Study
National Grid's Successful Damage Reduction Strategy with Urbint's AI-Powered Solution
National Grid, a multinational electricity and gas utility company, had been successful in reducing damages in their downstate New York territory for nearly a decade. However, the damage rate plateaued around 1.6 damages per thousand 811 tickets. The utility was facing challenges in identifying high-risk excavations due to the large volume of tickets, which was around 600,000 per year. Furthermore, the utility was experiencing higher-than-average no call-in damages on Long Island, with 40 to 45 percent of damages resulting from excavators not calling 811 before working. Despite efforts to increase awareness among the excavating community, the utility was still an outlier in the industry. National Grid needed a solution to efficiently identify their highest risk excavations and determine where no call-in damage was most likely to occur on Long Island.