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AVEVA

Establishment1967 year
number of employees7000
addressTokyo/Minato-ku/2-15-6 Shibaura, Oaze Shibaura MJ Building
phone03-4567-8710
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last updated:Aug 05, 2024
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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.

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AVEVA Advanced Analytics

Improve quality, energy efficiency, and throughput with cloud-based normative insights!

Introducing "AVEVA Advanced Analytics," which we handle. Maximize the value of industrial data and improve overall operational efficiency through real-time predictive insights during the production process. By modeling throughput, quality, and energy, you can deepen your knowledge of processes and assets, identify and rectify inefficiencies and issues, eliminate waste, and enhance productivity. 【Features】 ■ No programming skills required ■ Collect and aggregate data from multiple data sources ■ Leverage the power of the cloud to share data with internal and external stakeholders ■ Easily collaborate with data scientists and subject matter experts ■ Utilize dashboards, analytical tools, and analytical reports *For more details, please download the PDF or feel free to contact us.

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AVEVA Predictive Analytics

Automatically adapts to changes in input volume, environment, and operating conditions! Can provide warnings before equipment failures occur.

We would like to introduce "AVEVA Predictive Analytics," which we handle. With native integration with the "AVEVA PI System," it is possible to deploy predictive/prescriptive maintenance activities among stakeholders without the need for data scientists or software development. Moreover, the success of predictive analytics solutions depends not only on algorithmic methods but also on expansion methods across the entire business. This no-code dedicated solution enables the deployment and maintenance of predictive monitoring programs throughout the organization. 【Features (partial)】 ■ Native integration with AVEVA PI System ■ Intuitive model building ■ Alerts and notifications ■ Fault diagnosis ■ Time-to-failure prediction *For more details, please download the PDF or feel free to contact us.

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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.

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[Information] Comprehensive DX promoted by Shell

Infiltrating major energy companies and accelerating digital transformation!

This document presents a case where the energy company "Shell" transitioned from reactive to predictive operations, supporting engineers with data-driven insights and early determination that data is essential for achieving goals. The company, which extracts business value from real-time technology, applies existing enterprise contracts across many operational areas. These contracts are permeating a data-driven culture within the organization and accelerating digital transformation. [Contents (partial)] ■ Introduction ■ Company-wide intelligence through smart solutions ■ Advanced operations utilizing analytics ■ Saving millions of dollars through the digitalization of blowout preventers ■ Supporting greenhouse gas recovery with advanced analytics *For more details, please download the PDF or feel free to contact us.

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CONNECT Data Service

Extracting more value from industrial data.

If you could gain more insights from important industrial data, what kind of reforms would you initiate? How about gathering all valuable industrial data in one place in the cloud and organizing it along with related data according to its meaning? What if you could securely share that data with stakeholders both inside and outside the organization?

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Edge Data Store

Robust IIoT storage for Edge to Cloud connectivity

Edge Data Store (EDS) is software for Industrial IoT (IIoT) that enables the collection, storage, and access of operational data from sensors and devices that are not connected to control networks. Data that has been left behind due to unstable network connections or power in harsh environments can be accessed by placing it on the Edge Data Store, which is a cost-effective and robust device, allowing it to be utilized for actionable insights. By combining remote edge data with control networks, it becomes possible to gain a better overall understanding of industrial operations.

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AVEVA AIM

Information collaboration infrastructure system for realizing digital twins

AVEVA Asset Information Management is a solution that centralizes all information sources based on equipment tags, enabling visualization and information management. It eliminates silos across the entire plant lifecycle, providing accurate and up-to-date information to support efficient operations and decision-making. Furthermore, integration with the PI System allows for the unification of engineering data and operational data. With a user-friendly interface and advanced search capabilities, it enables engineers and operators to quickly access the information they need, thereby enhancing productivity. By implementing AVEVA Asset Information Management, companies can achieve both improved efficiency and reliability in asset management, strengthening their competitive edge.

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AVEVA PRO/II Simulation

Inclusive process simulation

AVEVA PRO/II Simulation is a professional tool that performs comprehensive simulations necessary for process design, improvement, and operational analysis. It calculates rigorous steady-state thermal and material balances across various processes, from oil and gas separation to reactive distillation.

  • Scientific Calculation and Simulation Software

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AVEVA PI System Portfolio

A digital backbone that can handle everything for centralized information management.

Integrated Solution for Operational Data Management AVEVA PI System has been the absolute standard for over 40 years as a solution for managing real-time time-series data across various industries. It is a natively integrated software suite designed to collect, contextualize, visualize, analyze, and deliver valuable data in a way that is accessible to both operational departments and others.

  • Solar power generation

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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.

  • IT Control and Services

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[PI System Implementation Case] Juwi

Improving asset monitoring through data integration! A case study that saved $2.6 million.

Juwi is a renewable energy company that takes on the design and management from project initiation to implementation, as well as providing asset monitoring services after project execution. As the company's asset portfolio expanded, the integration and management became more complex. The number of individual software applications needed for asset management increased, making the integration of new assets more difficult. Therefore, we decided to implement our PI System as an integrated monitoring solution to simplify operations. [Case Study] ■Implementation Site: Juwi ■Implemented Product: PI System *For more details, please refer to the PDF document or feel free to contact us.

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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.*

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[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.*

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[PI System Implementation Case] eMotorWerks, USA

Optimize the smart grid charging solution JuiceBox TM for electric vehicles by utilizing data from the connected EV network.

eMotorWerks, Inc. is applying its electric vehicle charging solution, JuiceBox™ (trademark), with our data management system, the PI System. In the United States, it is estimated that by 2025, the number of electric vehicles will reach 10 million, and if all of them are connected to the charging grid simultaneously, the power demand could reach 100 GW (gigawatts), which accounts for 15% of the total electricity. eMotorWerks is leveraging the PI System to create a shared data ecosystem that provides valuable services, leading to excellent charging performance, improved grid stability, and growth in renewable energy generation. 【Key Benefits】 ■ Improved Charging Performance - Real-time monitoring of events and charging parameters for EVs connected to the grid, optimizing charging performance. ■ Enhanced Grid Stability - Cloud management of all data from demand-side activities like EV charging and supply-side data from power companies, optimizing supply to thousands of charging stations. ■ Expansion of Business Opportunities - Various developments in adjacent fields are possible. *For more details, please refer to the PDF document or feel free to contact us.

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[PI System Implementation Case] Sandvik Coromant Company

A battle against time! The trajectory from PoC of Industry 4.0 to "value realization on a company-wide scale."

In 2015, Sandvik Coromant embarked on a pilot project for a Proof of Concept (PoC) to track, manage, and optimize equipment performance using our "PI System." While the project team requested a 10-week grace period to demonstrate value, management demanded proof in just 4 weeks. As a result, the project team was able to quickly model each system using the Asset Framework of the PI System, ingest data from a wide range of diverse sources, analyze it, and provide rapid feedback on the results. These tools from the PI System were a tremendous help for the time-constrained project and led to a successful demonstration. [Overview] ■ Client: Sandvik Coromant ■ Industry: Manufacturing - Industrial Machinery Manufacturing ■ Product Implemented: PI System *For more details, please refer to the PDF document or feel free to contact us.

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[PI System Implementation Case] Flowserve Corporation

Introducing a case study on the use of the PI System to improve equipment reliability and performance: Avoiding a loss of $650,000 due to unexpected operational downtime.

Flowserve Corporation, headquartered in the United States, is a global company specializing in fluid control equipment, including pumps and mechanical seals. In this instance, we will introduce a case where Flowserve's global rotating equipment monitoring solution was realized through OSIsoft's connected services. Currently, manufacturers around the world are embarking on strategies to integrate digital intelligence into industrial equipment to improve uptime, prevent accidents, and enhance the bottom line. The amount lost by the process industry due to unexpected downtime and inadequate maintenance reaches $20 billion worldwide. Approximately 80% of these losses could be prevented if information were accessible at an early stage. [Case Overview] ■ Industry: Manufacturing ■ Business Value IoT, remote performance monitoring, collaborative data ecosystem Aftermarket (maintenance) service provider for industrial applications Connected services, OEM *For more details, please refer to the PDF document or feel free to contact us.

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[PI System Implementation Case] Deschutes Brewery

Enhancing the use of sensor data to improve beer quality! Maximizing production volume through improved temperature control.

In 2015, at Deschutes Brewery, the seventh largest craft beer brewery in the United States, a new type of fermentation tank used in the cooling stage of the brewing process experienced a rapid temperature rise. Initially, equipment upgrades were considered, but first, they attempted to use operational data collected with the 'PI System' to simultaneously achieve a reduction in cooling time and maintain beer quality. Additionally, they added a fourth temperature sensor to the conical bottom of the fermentation tank, which had not been monitored before, and utilized this to implement cooling control for the conical bottom. This led to new discoveries and improvements in control, preventing unnecessary temperature rises. Furthermore, by transitioning to condition-based maintenance (CBM), they were able to avoid $8 million in excessive capital investment. [Case Overview] ■ Industry: Food & Beverage ■ Business Value - Process optimization, increased production, improved quality, democratization of data Predictive analytics, real-time KPI dashboard *For more details, please refer to the PDF document or feel free to contact us.

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AVEVA PI Vision

Instantly check necessary real-time information.

AVEVA PI Vision is a tool for visualizing data from the PI Server, allowing for real-time visual understanding of critical operations and processes across the enterprise. With an intuitive dashboard for ad-hoc analysis, engineers and operators can natively access the data and tools necessary for decision-making, and they can also freely create and manage display screens in a self-service manner. Additionally, it is compatible with mobile devices, enabling real-time data access even when on the go. 【Features】 ■ Simple visualization with comprehensive result display ■ Easy understanding of operational status ■ Reduced response times ■ Streamlined root cause analysis ■ Seamless integration of asset data *For more details, please refer to the PDF document or feel free to contact us.

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AVEVA PI Server

AVEVA PI Server is the core product of the AVEVA PI System, equipped with data storage, normalization, analysis, and notification functions.

The AVEVA PI Server includes Data Archive, Asset Framework, Asset Analytics, Event Frames, and Notifications. By combining these features, it enables the secure storage, organization, and contextualization of operational data. It adds context to raw data, structures it, and performs calculations. This provides insights into operations and business. Additionally, it ensures a reliable audit trail, making it easy to verify compliance with laws, regulations, and industry standards, while robust security covers every aspect to protect valuable data. 【Features】 ■ Safely stores time-series operational data for decades ■ Accessible to anyone within the organization who needs data, regardless of department or position ■ Creates a reliable single data source, regardless of source, format, or age ■ Retrieves and compares summary data of events from specific processes ■ Automatically notifies alerts when changes occur in operations * For more details, please refer to the PDF document or feel free to contact us.

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AVEVA P&ID

Intelligent P&ID Creation Management System

It is a plant engineering system that integrates CAD graphics and databases, which is effective in improving design efficiency and quality. Since it adopts AutoCAD as its graphic engine, it has good compatibility with drawing operations and existing P&ID drawings, allowing for smooth intelligentization. Centralized data management prevents human errors and reduces design risks. It also provides functionality to ensure data consistency from the early stages of design. AVEVA P&ID makes it easy to create various lists such as equipment, instrumentation, and line lists, as well as output connection information data. Data integration with AVEVA's engineering and design products, such as electrical instrumentation design and 3D plant models, is also easy, contributing significantly to the efficiency of design operations as a hub for functional design.

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AVEVA E3D Design

3D Plant Detailed Design and Space Management System

AVEVA E3D Design is the world's most advanced and powerful 3D design solution for process plants, marine, and power industries. It is compatible with other AVEVA Engineering & Design solution products, providing customers with best-in-class productivity and functionality.

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