soft×AVEVA - List of Manufacturers, Suppliers, Companies and Products

[PI System Implementation Case] Sweden Hydroelectric Power Plant CBM

Covers about 90% of all failure modes without additional sensors! Discovering new efficiencies through condition-based maintenance.

Vattenfall Hydro, a Swedish company, is a major hydropower operator in Europe. The management team realized that there was a need to change the company's asset maintenance efforts. For the previous 15 to 20 years, they had been using condition-based monitoring, but relied on an old system that depended on periodic inspections, tests, and static data from data historians, resulting in many reactive maintenance practices. To improve efficiency and reduce operational costs, it was necessary to transition to real-time condition-based monitoring using measurement instruments. [Case Study] - Implementation Site: Vattenfall Hydro Power - Industry: Power Generation, Hydropower - Implemented Product: PI System *For more details, please refer to the PDF document or feel free to contact us.*

Company：AVEVA
Price：Other

Data Centres

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[PI System Case Study] Predictive Maintenance at Ansaldo Energia, Italy

You can perform a comparison between actual data and estimated data! Real-time notifications enable prompt responses, achieving predictive maintenance!

Ansaldo Energia is a company based in Genoa, Italy, specializing in the construction of thermal power plants, primarily engaged in plant engineering, construction, and services. It owns over 100 power plants and more than 300 gas turbines worldwide, providing remote monitoring services to customers in 13 countries. The PDF document introduces how the company utilizes the PI System for remote asset monitoring and predictive maintenance. [Case Study] - Implementation Site: Ansaldo Energia - Industry: Power Generation, Construction - Implemented Product: PI System *For more details, please refer to the PDF document or feel free to contact us.*

Company：AVEVA
Price：Other

Data Centres

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Protecting building automation systems from cyber attacks.

Challenges of Cybersecurity in Building Automation Systems (BAS): How to Achieve a Balance Between Data Protection and Operational Efficiency?

Current Building Automation Systems (BAS) face cybersecurity challenges that require them to collect, utilize, and provide critical data while also protecting that data. This issue has two facets: ◇ The data obtained from commercial and corporate building facilities has become more abundant than ever, and there is a growing recognition of the value of this data. ◇ BAS data and its functionalities are exposed to risks of misuse and theft, making them more vulnerable than ever. However, there are several ways to utilize and protect data simultaneously. This document explains the cybersecurity risks that facility management personnel should be aware of. It discusses how these risks have increased in recent years and the potential impacts on users and owners of facilities if data is hacked. Additionally, cybersecurity experts will provide insights on how to mitigate these risks. It will also clarify what should be required of employees and partners to ensure that BAS and its data are securely protected from hackers, disruptors, and other malicious actors.

Company：AVEVA
Price：Other

IT Control and Services

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[Information] Supporting new business opportunities in the data ecosystem.

In future power generation, the integration management of numerous decentralized facilities and vast amounts of data will be crucial!

In this document, we explain that connecting with industrial partners within our ecosystem using a hybrid data architecture represents the future of information sharing in the power generation business. We discuss topics such as "Data Ecosystem in Power Generation" and "Challenges Faced by IT Departments During Cloud-Based Growth." Additionally, we provide a "Checklist for Industrial Data Sharing" as a necessary feature of our solutions, alongside safety and usability. We encourage you to download and read it. [Contents (Partial)] ■ Data Ecosystem in Power Generation ■ Challenges Faced by IT Departments During Cloud-Based Growth ■ Checklist for Industrial Data Sharing ■ Transformation of Perspectives on Sharing ■ Advantages of a Connected Data Ecosystem *For more details, please download the PDF or feel free to contact us.

Company：AVEVA
Price：Other

Other Software

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Four Ways to Derive More Value from Data

Get more from existing data! We will also introduce root cause analysis and predictive maintenance.

This document introduces four ways to derive more value from the data of the "AVEVA PI System." It showcases how companies in the chemical, oil and gas, mining, and power industries are utilizing data in their initiatives. Additionally, it includes case studies such as "Root Cause Analysis at Covestro" for the chemical industry and "Predictive Maintenance at PETRONAS" for the oil and gas industry. We encourage you to download and read it. [Contents] ■ Gaining more from existing data ■ Root cause analysis at Covestro ■ Predictive maintenance at PETRONAS ■ Automated delay calculations at Rio Tinto ■ Data sharing at Silicon Valley Clean Energy *For more details, please download the PDF or feel free to contact us.

Company：AVEVA
Price：Other

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soft×AVEVA - List of Manufacturers, Suppliers, Companies and Products

soft Product List

[PI System Implementation Case] Sweden Hydroelectric Power Plant CBM

[PI System Case Study] Predictive Maintenance at Ansaldo Energia, Italy

Protecting building automation systems from cyber attacks.

[Information] Supporting new business opportunities in the data ecosystem.

Four Ways to Derive More Value from Data

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