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Senseye
概述
公司介绍
Senseye 是领先的基于云的预测性维护软件。它通过自动预测机器故障而无需专家手动分析,帮助制造商避免停机并节省资金。其智能机器学习算法使其可用于任何制造商的任何机器,从现有的工业物联网传感器和平台获取信息,以自动诊断故障并提供机器的剩余使用寿命。
物联网解决方案
物联网应用简介
Senseye 是应用基础设施与中间件, 分析与建模, 功能应用, 传感器, 和 基础设施即服务 (iaas)等工业物联网科技方面的供应商。同时致力于汽车, 建筑与基础设施, 电子产品, 石油和天然气, 和 零售等行业。
技术栈
Senseye的技术栈描绘了Senseye在应用基础设施与中间件, 分析与建模, 功能应用, 传感器, 和 基础设施即服务 (iaas)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:
无
弱
中等
强
实例探究.
Case Study
Predictive maintenance in Schneider Electric
Schneider Electric Le Vaudreuil factory in France is recognized by the World Economic Forum as one of the world’s top nine most advanced “lighthouse” sites, applying Fourth Industrial Revolution technologies at large scale. It was experiencing machine-health and unplanned downtime issues on a critical machine within their manufacturing process. They were looking for a solution that could easily leverage existing machine data feeds, be used by machine operators without requiring complex setup or extensive training, and with a fast return on investment.
Case Study
Scalable Predictive Maintenance in Nissan
With an abundance of data and insufficient skilled resources to perform analysis, Nissan were keen to expand the benefits of using data to influence maintenance. It decided to embark on a Condition Based maintenance programme to reduce production downtime by up to 50% across thousands of diverse assets. It was attracted to Senseye by its strong prognostics offering underpinned by machine learning.
Case Study
Nissan Manufactures Vehicles in 20 Countries
With an abundance of sensor data but insufficient skilled resources to perform manual analysis, Nissan was keen to expand the benefits of using data and machine learning to influence maintenance. In 2016, it decided to embark on a Predictive Maintenance program to reduce production downtime by up to 50% across thousands of diverse machines.It was attracted to Senseye by its deep domain experience and ability to scale across its sites, underpinned by its patented Artificial Intelligence technology.
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Supplier
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MachineMetrics is the authority on real-time manufacturing analytics. When we started MachineMetrics, we identified undeniable gaps in current manufacturing processes: a lack of real-time production visibility and a lack of communication between machine operators and their managers. Roughly 50% of US companies admitting to not having a systematic roadmap toward Digital Manufacturing solutions nor automation and over 90% of companies have yet to attempt to integrate solutions to date. Many companies have attempted to develop solutions for this problem but it had yet to be truly solved. We spoke with 100+ manufacturers to gather their feedback on why these solutions did not fit their needs and how it could be designed better.MachineMetrics was thus created; an IIoT manufacturing analytics and machine monitoring platform to help companies visualize where they stand now and overcome the challenges along the Digital Transformation journey to advance forward from reactivity, to proactivity, and to predictivity. Our fully automated machine monitoring solution provides visualizations of real-time manufacturing production data, instant notifications, as well as historical analytics, allowing factory workers to make faster, smarter, more confident decisions based on real-time data.We've simplified IoT for the shop floor and are empowering manufacturers to develop their roadmap toward manufacturing excellence with the easiest to use and simplest to integrate software on the market. MachineMetrics is driving manufacturing efficiency by more than 20% on average for our customers and we are proud to be developing the future of manufacturing alongside them.
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Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple.
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Peak offers a Decision Intelligence platform that doesn’t just deliver models, it delivers results. It is a single platform that can help you rapidly deploy multiple AI-powered solutions on a single platform. It takes you all the way from siloed data and systems, to putting AI in the hands of commercial decision makers. It is built to empower you to make superhuman decisions, all the time.