Altizon Systems
面向数字化转型的工业物联网平台
概述
总部
美国
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成立年份
2013
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公司类型
私营公司
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收入
< $10m
|
员工人数
51 - 200
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网站
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推特句柄
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公司介绍
Altizon 通过帮助企业使用机器数据来推动业务决策,在全球范围内推动工业数字革命。 Altizon 在全球拥有 100 多个企业用户,是 Gartner、Forrester、BCG、Frost & Sullivan 等公认的领先工业物联网平台提供商。
物联网解决方案
主要客户
Spectra Symbol Corp., Varroc 集团
物联网应用简介
Altizon Systems 是基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 网络与连接, 传感器, 和 自动化与控制等工业物联网科技方面的供应商。同时致力于汽车, 化学品, 消费品, 电网, 石油和天然气, 包装, 和 公用事业等行业。
技术
用例
功能区
行业
技术栈
Altizon Systems的技术栈描绘了Altizon Systems在基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 网络与连接, 传感器, 和 自动化与控制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
IoT Solutions for Smart City | Internet of Things Case Study
There were several challenges faced: It is challenging to build an appliance that can withstand a wide range of voltage fluctuations from as low at 90v to as high as 320v. Since the device would be installed in remote locations, its resilience was of paramount importance. The device would have to deal with poor network coverage and have the ability to store and re-transmit data if networks were not available, which is often the case in rural India. The device could store up to 30 days of data.
Case Study
IoT Data Analytics Case Study - Packaging Films Manufacturer
The company manufactures packaging films on made to order or configure to order basis. Every order has a different set of requirements from the product characteristics perspective and hence requires machine’s settings to be adjusted accordingly. If the film quality does not meet the required standards, the degraded quality impacts customer delivery causes customer dissatisfaction and results in lower margins. The biggest challenge was to identify the real root cause and devise a remedy for that.
Case Study
Automotive Component Manufacturer Improves with Datonis IoT Solution
As a part of their Industry 4.0 initiative, the customer primarily wished to leverage IoT for maximizing operational efficiencies, productivity, reducing the energy footprints and maximizing capacity utilization. But there were several challenges at the outset:Firstly, the customer had multiple assembly lines with a diverse set of machines, systems and sensors, all communicating on different protocols. As such, primarily they needed a partner who could connect diverse set of assets on to a single platform and make use of underutilized ‘dark’ data.Secondly, the amount of data, data types and their applications was so vast, that the platform handling it, needed to be scalable and flexible.Lastly, Varroc faced the typical challenge of innovating in ‘Brownfield’ markets – wherein the real bottleneck is in integrating IoT in tandem with both the new and legacy equipment without any further CAPEX for asset substitution.
Case Study
IoT based Energy Quality Availability Monitoring Solution
There were several challenges faced:Since this data would be in the public domain, accuracy and authenticity of this data were of paramount importance. It should be able to withstand scrutiny.It is challenging to build an appliance that can withstand a wide range of voltage fluctuations from as low at 90v to as high as 320v. Since the device would be installed in remote locations, its resilience was of paramount importance.The device would have to deal with poor network coverage and have the ability to store and re-transmit data if networks were not available, which is often the case in rural India. The device could store up to 30 days of data.The platform that deals with the data should be readily available and highly reliable and never lose a packet of data.
Case Study
FMCG Case Study – CPG Line Monitoring
The leading CPG company operates several warehouses, mostly closer to the last distribution point (Large retailers). Products in various categories are packaged in specific delivery or display cartons at these facilities. As most CPG businesses consist of high volume with low margins, optimizing every operation and effective utilization of resources add up to profit margins. The key problem at these warehouses is the lack of visibility into reasons for machine breakdowns or idle time, thereby delay in delivery. The sunrise meetings lead to post-mortem of delivery issues like delay or quality. The customer wanted to implement real-time line monitoring and alert system to gain control over downtime issues and implement improvement measures.
Case Study
IoT Enabled Remote Asset Monitoring and Predictive Maintenance
A stripper well or marginal well is an oil or gas well that is nearing the end of its economically useful life. In the U.S., oil wells are generally classified as stripper wells when they produce 10 to 15 barrels per day or less for any 12-month period. These wells account for approximately 18% of the U.S. production. The key ask was to design a solution that would connect these wells often located in remote locations and collect information about their performance and operating conditions.
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Supplier
COPA-DATA
COPA-DATA is the technological leader for ergonomic and highly-dynamic process solutions. The company, founded in 1987, develops the software zenon for HMI/SCADA, Dynamic Production Reporting and integrated PLC systems at its headquarters in Austria. zenon is sold through its own offices in Europe, North America and Asia, as well as partners and distributors throughout the world. Customers benefit from local contact persons and local support thanks to a decentralized corporate structure. As an independent company, COPA-DATA can act quickly and flexibly, continues to set new standards in functionality and ease of use and leads the market trends. Over 135,000 installed systems in more than 90 countries provide companies in the Food & Beverage, Energy & Infrastructure, Automotive and Pharmaceutical sectors with new scope for efficient automation.
Supplier
Litmus Automation
Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io.
Supplier
FogHorn
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications. FogHorn’s software platform brings the power of Machine Learning and advanced analytics to the On-Premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and Predictive Maintenance use cases.
Supplier
Bohua Technology
Beijing Bohua Technology Co., Ltd. was established in 2006 and is specialized in the Internet industry equipment condition monitoring, fault diagnosis, maintenance management, intelligent monitoring and other related product development, production and technical services of high-tech enterprises. Bohua serves the petrochemical, coal chemical industry, metallurgy, electric power, wind power, military, municipal, rail transportation and other industries. Products include offline inspection system, a reciprocating compressor line monitoring and diagnosis systems, rotating machinery monitoring and diagnosis system, key-line pump monitoring and diagnosis system, on-line monitoring and diagnosis system of the wind turbine, the engine line monitoring system, a wireless monitoring and diagnosis system, moving professional equipment management platform, remote monitoring diagnostic center, RCM assessment of the overall solution. The company has a comprehensive product research and development, production, marketing, on-site project implementation and technical service capabilities, professional hardware production base through the ISO9001: 2008 quality management system certification, and high-tech enterprises in Beijing's Zhongguancun, has made more than patents and computer software copyrights, with certification of software products and software enterprise certification, and access to provincial and ministerial level scientific and technological progress award special award. Bohua technology has the layout of Industry 4.0 innovative intelligent field equipment, such as the Internet industry to make its own contribution to China over the next decade to develop into manufacturing power from the manufacturing country.
合作伙伴.
Supplier
Microsoft
Microsoft develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer and Edge web browsers.Year Founded: 1975Revenue: $93.6 billion (2014)NASDAQ: MSFT
Supplier
Deloitte LLP
Deloitte drives progress. Deloitte around the world helps clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Deloitte has more than 220,000 professionals at member firms delivering services in audit, tax, consulting, financial advisory, risk management, and related services in more than 150 countries and territories. Year Founded : 1845