OSIsoft
我们相信拥有数据的人可以改变他们的世界。
概述
公司介绍
OSIsoft 提供企业基础设施行业标准 PI System,用于管理实时数据和事件。 PI System 使企业能够在整个企业中捕获和利用基于传感器的数据,以提高效率、资产健康、生产力、可持续性、质量、安全性和安保性。开放式基础架构不仅是数据历史学家,还连接数据、运营和人员,以实现实时运营智能和转型运营。
物联网应用简介
OSIsoft 是基础设施即服务 (iaas), 平台即服务 (paas), 分析与建模, 功能应用, 和 传感器等工业物联网科技方面的供应商。同时致力于建筑物, 化学品, 城市与自治市, 食品与饮料, 金属, 矿业, 石油和天然气, 造纸, 药品, 可再生能源, 运输, 和 公用事业等行业。
技术栈
OSIsoft的技术栈描绘了OSIsoft在基础设施即服务 (iaas), 平台即服务 (paas), 分析与建模, 功能应用, 和 传感器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
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实例探究.
Case Study
The city of Calgary using data to predict and mitigate floods
Every year, spring rains and snowmelt pour into the rivers and reservoirs that feed the City of Calgary’s water supply. As a result, downtown businesses and residents are faced with unpredictable floods that could do millions of dollars of damage. The City of Calgary turned to the PI System for a data-driven approach to predicting and managing flooding.Both the Bow and Elbow rivers flow through Calgary’s borders and provide fresh water to the system. These rivers carry the runoff, rainfall, and snowmelt from nearly 9,000 kilometers of land and the water is collected in two primary reservoirs managed by the City of Calgary. To ensure a safe, consistent, supply of water for its customers, the City of Calgary must keep a close eye on both the quality and quantity of water in these rivers and reservoirs. One of the biggest challenges in doing so is the region’s annual floods. Each year, between May and June, snowmelt, runoff, and rainstorms cause the water levels in the rivers to increase substantially. Preparing for flood-level waters is part of the utility’s annual plans, but predicting when, precisely, they would occur was another matter. Water tables can change quickly and the utility must balance flood risks against continuing to meet user demand and maintaining reservoir levels and water quality. During a flood event, the utility is faced with a surge in water volume through its system. Before water reaches the reservoirs, it must be treated and the sudden increase in volume caused by the floods often overwhelmed the treatment plants, resulting in quality issues. Furthermore, City of Calgary lacked timely information that would let it reduce reservoir volume in advance of a flood. As a result, emergency response often struggled to respond as flood waters reached downtown. The resulting damages — including residential and commercial insurance claims, water quality issues, system downtime, and regulatory fines — could total in the millions. To reduce the impact of floods on its customers and its business, City of Calgary, turned to the PI System.
Case Study
Real-time Air Quality Monitoring with AVEVA Data Hub: A CosaTron Case Study
CosaTron, a company that provides high-value, remote air quality monitoring services for building owners and facilities managers, faced a significant challenge due to the COVID-19 pandemic. The urgency to monitor indoor air quality increased exponentially among their customers. This was primarily due to the heightened awareness and concern about the spread of the virus in enclosed spaces. Additionally, customers expressed a need to review the indoor air quality themselves. This requirement posed a challenge for CosaTron as it necessitated a solution that could provide real-time, remote monitoring of indoor air quality sensors, which was not part of their existing service offerings.
Case Study
Tendeka Uses Real-Time Telemetry Data to Improve Clients’ Operating Efficiency
Oil and gas producers face serious consequences if a downhole safety valve fails. In many cases, both company policy and government regulations require the well to be shut in for safety and environmental reasons. Some intervention-based tools allow the well to return to production, but unfortunately these tool designs, often decades old, are fraught with technical challenges, which can diminish the total production potential of the compromised well and the range of the well’s functionality.Tendeka, a provider of completions technology to the oil industry, developed an innovative smart valve that relays information bi-directionally from the downhole to the surface and can also be controlled wirelessly from the surface. The valve transmits regular wireless signals to the surface, which convey important information about downhole conditions and well operations. The valve allows wells to be returned to production during testing, while also providing the required downhole closure capability, should it become necessary to shut in the well. With this deployment of Electronic Ambient Valve (EAV) and Edge Data Storage (EDS) technology, Tendeka wanted to prove that continuous monitoring of the valve function could be conducted by both the operator and Tendeka personnel in headquarters.
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