AVEVA
Canvas Category Software : Information Technology : Asset Performance Management
Connecting information and artificial intelligence with human insight. AVEVA’s leading industrial software, together with OSIsoft’s world-class operational data management, empowers the people behind industries to engineer smarter, operate better and drive sustainable efficiency
Assembly Line
HENN: Improved production quality helps protect automotive brands
Automotive parts manufacturer HENN needed an improved data architecture that would allow it to gain real-time insight into its assembly line process, The primary goal was to improve the quality of its charged air connector, which is a critical car component and used by most major automotive brands. If it were to fail, significant damage to the car manufacturer’s brand could result. HENN sought to meet this challenge in a unique way by using CONNECT and Edge Data Store.
Prior to deploying CONNECT, it took HENN’s team two days to validate the production line data. Now, analysts can retrieve data from the cloud two minutes after a connector leaves the machine, and they can run inquiries against large data sets without impacting operations. This improved data processing speed helped increase the efficiency of HENN’s operations and the quality control of its product, thereby improving the reliability of the automotive brands that purchase HENN’s products.
Intelligent Data-Driven Energy Management: Data usage in Michelin's energy project
Centralized Monitoring and follow for energy to each factories in Michelin, down to the equipment in 65 factories. Data cleansing in Databricks for the use case.
AVEVA announces two new strategic partnerships at its biggest ever AVEVA World Conference
During the AVEVA World 2024 press conference, AVEVA‘s CEO, Caspar Herzberg, announced new strategic partnerships with Vulcan Energy Resources (VER) and Oxford Quantum Circuits (OQC).
VER aims at decarbonising lithium production by developing the world’s first dual lithium chemicals and renewable energy business with net zero greenhouse gas emissions. CONNECT, will be used to enhance collaboration and foster digital agility across the different project phases and industrial assets. VER will gain access to a comprehensive suite of software solutions tailored to Phase One and future phases. Core components, such as AVEVA’s Contract Risk Management (CRM) and AVEVA Asset Information Management (AIM), as well as AVEVA’s cutting-edge digital twin and Assai’s Document Control and Management system, will enable secure data sharing among multiple stakeholders including contractors.
AVEVA’s new partnership with Oxford Quantum Circuits (OQC) seeks to develop an application of quantum computing in the industrial sector. While still in its infancy, quantum computing is expected to help customers save time and money, as well as reducing power consumption. By partnering with OQC, AVEVA is bringing the power and capability of quantum compute to its customers, enabling them to unlock its potential to solve new and previously thought impossible problems. Quantum compute is anticipated to deliver an exponential speed-up over classical techniques, as well as generate cost and power consumption reductions: including AI large language models and big data.
How NOV solved critical oilfield operations using Databricks Data Intelligence Platform
NOV is a global oilfield services corporation. In order to better achieve scale and achieve data driven decisions across their operations, NOV aspired to create a data command center involving a comprehensive approach to ingest and seamlessly integrate real-time streaming data with historical batch data to provide a holistic overview of well site activities.They have implemented advanced data analytics and visualization tools to make sure that operators can promptly identify anomalies, potential issues, and trends from the well data.
Rigs generate over 1 billion rows of data per day from 30,000+ sensors streaming at 1 Hz or higher. This sensor data streams seamlessly into central repositories such as Aveva PI, formerly known as OSIsoft, yet corporate data and equipment details remain siloed, needing duplicated efforts due to limited data access. A robust model deployment pipeline significantly improves data-driven optimization. Modernizing to a unified, scalable data environment is critical for unlocking data-driven insights.
Implementing Databricks on AWS has proven instrumental in advancing CBM strategies within the realm of drilling equipment, leading to substantial improvements in the supply chain management of such crucial assets. By harnessing the power of data analytics and ML on the Databricks Data Intelligence Platform organizations can efficiently monitor the health and performance of drilling equipment in real-time.
Could reading instruction manuals become a thing of the past?
Simon Bennett, Aveva’s head of AI innovation, says the AI can locate where there has been, say, a power failure. It then delves into “a monster PDF manual”. From this, the AI - via a computer screen - generates different ideas of what the problem might be. It can also produce a 3D image of the affected machinery, such as a turbine, with Mr Bennett noting that engineers appreciate such visual responses to their questions.
Dozuki’s AI-powered system CreatorPro can automatically create a user guide based on an engineer making a video of him or her talking through and carrying out a process. “The user uploads the video, and a step-by-step instruction guide is automatically created,” says Allen Yeung, Dozuki’s vice president of product. “The AI chooses the text that accompanies each step, and it can automatically translate that into other languages.”
AVEVA and Meridian Energy Group Inc. Forge Partnership for World's Cleanest and Most Advanced Crude Oil Refineries
AVEVA, a global leader in industrial software driving digital transformation and sustainability, announced a strategic partnership with Meridian Energy Group Inc. (Meridian) to develop a digital twin for the first full-conversion refinery built in the U.S. since 1976, and the first modern “greenfield” advanced technology refinery constructed in the U.S. ever. This collaboration marks a significant milestone in advancing technological innovation and environmental stewardship in the refining industry.
Meridian has selected CONNECT, AVEVA’s industrial intelligence platform, and a series of EPC 4.0 solutions to create one unified, data-centric approach for the engineering and project execution of their new Davis Refinery. Meridian’s executive team, comprising decades of experience in plant engineering and operations, is the driving force to their adopting innovative technologies that overcome traditional project barriers and disparate systems. With AVEVA’s EPC 4.0 solutions, engineering data is no longer siloed, bringing real-time visibility across the engineering and design stage to procurement and construction, improving final handover and time to operational readiness.
AVEVA announces at ACHEMA a Strategic Collaboration Agreement with AWS to Drive Sustainable Industrial Transformation
AVEVA, a global leader in industrial software, driving digital transformation and sustainability, has announced a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS). Their enhanced collaboration will support industrial customers by enabling cloud delivery of the latest AVEVA applications as integrated, out-of-the-box Software-as-a-Service (SaaS) solutions.
AVEVA is collaborating with AWS to solve interoperability challenges with the help of Artificial Intelligence (AI). The lack of workability across data models can be a barrier for customers interested in digital twins, while creating data models is costly and time-consuming. AVEVA and AWS are looking to create mapping capability on AWS platforms, which could decrease time-to-value, while reducing data management complexity across data silos and industrial data standards.
Companies all around the world are already benefitting from AVEVA and AWS solutions. Take, for example, Norway’s Aker Carbon Capture, which designs and builds facilities for companies in carbon-intensive industries, such as cement, steel, and oil and gas. AVEVA’s Unified Engineering in the cloud helps Aker Carbon Capture create efficient and replicable designs for carbon capture units, and AVEVA’s AWS-based software allows teams to collaborate across time zones, resulting in an increase in operational efficiency and time to market by over 50%.
Empower Your Industrial Data Strategy: Integrate Litmus Edge with AVEVA PI
Litmus Edge provides several integration solutions to unlock your data from the AVEVA PI System, moving past the limitations of the Asset Framework SDK and PI Web API to enhance accessibility:
- DH Historian Agent: This Windows-based agent harnesses the Asset Framework SDK to collect data from the PI historian and securely transmit it to Litmus Edge for further processing.
- Northbound Integration: Using the PI Web API and OMF (Open Messaging Format), this integration enables Litmus Edge to send processed data back to the PI server, simplifying connectivity with proprietary OEM machines.
- Cloud Integration: OSIsoft’s acquisition by Aveva and the introduction of the AVEVA™ Data Hub allow Litmus Edge to send data directly to cloud-based services, enabling remote data management and analysis.
ABB co-launches interoperability initiative to unlock Industrial IoT insights for more efficient and sustainable industry
At the Hannover Messe on April 23, 2024, founding members ABB (including B&R), Capgemini, Microsoft, Rockwell Automation, Schneider Electric (including AVEVA) and Siemens announced collaboration on a new initiative to deliver interoperability for Industrial IoT ecosystems.
Hosted by the Linux Foundation and open to further interested parties, the Margo initiative draws its name from the Latin word for ‘edge’ and will define mechanisms for interoperability between applications, devices and orchestration software at the edge1 of industrial ecosystems. In particular, Margo will make it easy to run and combine applications from any ecosystem member on top of the hardware and runtime system of any other member. Margo aims to deliver on its interoperability promise through a modern and agile open-source approach, which will bring industrial companies increased flexibility, simplicity and scalability as they undergo digital transition in complex, multi-vendor environments.
AVEVA and Databricks Forge Strategic Collaboration to Accelerate Industrial AI Outcomes and Enable a Connected Industrial Ecosystem
AVEVA, a global leader in industrial software, and Databricks, the Data and AI company and inventor of the data lakehouse, proudly announce a strategic partnership aimed at reshaping the future of industrial software through an open, secure, and governed approach to data and AI. This collaboration will drive a closer integration between AVEVA Connect, AVEVA’s industrial intelligence platform, and the Databricks Data Intelligence Platform.
The partnership will act as a catalyst for AVEVA’s vision of a connected industrial ecosystem by enabling seamless and secure sharing of data amongst different industry applications and community stakeholders, orchestrated by AVEVA Connect. An open approach for industry collaboration and secure, cross-platform data sharing, powered by Databricks’ Delta Sharing, will help mutual customers in manufacturing, energy, consumer packaged goods and pharmaceutical sectors to identify new sources of value and gain flexibility in industrial processes, without compromising on security and governance.
Learnings from the global roll-out of a self-service data analytics tool at LANXESS
Discover the transformative journey of LANXESS, a global specialty chemicals conglomerate, as it integrates TrendMiner, a cutting-edge analytics platform, into its operations. From humble beginnings at a local plant to a global digital transformation, this video explores the strategic implementation, challenges, and successes of rolling out TrendMiner across diverse and widespread facilities.
Data-driven Maintenance Work Order Management with Crosser and AVEVA
The customer faced a significant challenge with its existing automated work order management system. This system relied on monitoring maintenance metrics using PLCs alongside predefined trigger points. AVEVA System Platform was responsible for initiating SAP to trigger specific work orders aligned with predefined work plans. However, this approach demanded manual adjustments to PLCs and the AVEVA System Platform each time a new device was introduced or new parameters were required.
Moreover, when a SAP work order was completed and counters needed to be reset to zero, manual connections to the PLCs were necessary, introducing operational risks and requiring substantial manual effort with each new device or reset. The existing approach not only carried operational risks with each change but also imposed significant manual labor for every new device and reset process.
Autonomous operations: The key to sustainably capitalizing on FPSO market growth
Yinson’s partnership with AVEVA, named Project Polaris, aims to combine our industry and technology expertise with its in-depth knowledge of the industry and FPSOs. Project Polaris is an integrated asset management solution consisting of AVEVA™ Asset Strategy Optimization, AVEVA™ Predictive Analytics, AVEVA™ BI Gateway, AVEVA™ Unified Operations Center, and AVEVA™ Work Tasks used in conjunction with existing solutions including AVEVA™ PI System™. It’s designed to improve the overall operations, maintenance, and reliability of the FPSO assets and drive toward sustainable, autonomous operations.
Using a unified operations center that provides a common user experience across the organization, Project Polaris is already helping Yinson overcome business challenges. From visualization to predictive analytics, Project Polaris integrates with existing applications and is scalable, allowing the solution to continue to gain value while reaching goals for 15 unique use cases. By monitoring asset reliability and efficiency, users can understand asset health and performance to make data-driven decisions that optimize operations, reduce unplanned downtime to zero, prevent failures, and maximize production through effective asset lifecycle management.
Harnessing Machine Learning for Anomaly Detection in the Building Products Industry with Databricks
One of the biggest data-driven use cases at LP was monitoring process anomalies with time-series data from thousands of sensors. With Apache Spark on Databricks, large amounts of data can be ingested and prepared at scale to assist mill decision-makers in improving quality and process metrics. To prepare these data for mill data analytics, data science, and advanced predictive analytics, it is necessary for companies like LP to process sensor information faster and more reliably than on-premises data warehousing solutions alone.
Abbott Nutrition: Improving Manufacturing Productivity at Abbott Nutrition
Abbott’s Nutrition, a division of the global healthcare company, manufactures a wide variety of science-based nutrition products. In 1999, Abbott Nutrition began working with OSIsoft’s PI System to integrate, collect, and contextualize data at the company’s manufacturing plant in Columbus, Ohio. Based on its success at this plant, in 2012 the company entered into an OSIsoft Enterprise Agreement (EA) to include all Abbott Nutrition manufacturing sites globally. This created a huge volume of data, but also presented the challenge of extracting maximum value from the data.
Aveva and Dr. Reddy's Laboratories
AVEVA continues to drive digital transformation and sustainability for industrial customers through collaboration with Microsoft
AVEVA, a global leader in industrial software, driving digital transformation and sustainability, has expanded its strategic collaboration with Microsoft to further strengthen both companies’ data integration platforms to better prepare customers to incorporate AI in key industries across the world.
The agreement will see an even closer synergy between industrial cloud platform AVEVA Connect and data analytics solution Microsoft Fabric, which is currently in public preview. They are designed to streamline the process of collecting, transforming, and unifying data from various sources. They help gather data from different parts of an organization’s operations, including manufacturing processes, supply chains, and other relevant systems. These platforms offer tools for data cleansing, transformation, and enrichment, making the data more consistent and useful for downstream applications and preparing data to power AI capabilities.
Microsoft Cloud for Manufacturing: Tackling data accessibility in manufacturing alongside partners
I’m very excited about all the updates being shared at Microsoft Inspire 2023, particularly about the announcement of the new AI Cloud Partner Program (MACPP) and the additional offerings and benefits this brings for partners. Under the MACPP, I’m thrilled to announce that we will be including manufacturing partner solutions through new independent software vendor (ISV) designations.
This designation represents our commitment to bringing the best partner solutions to our customers and provides a way for customers to identify proven partner solutions aligned with the Microsoft Cloud and our industry clouds. The designation validates that our partners’ solutions meet the high standards of data accessibility specific to the manufacturing industry.
Wipro and Databricks Partner to Build Williams Energy's First-Certified Gas Marketplace
Williams sought to disrupt the energy Industry by creating the first certified gas marketplace with a gas certification process to encompass the end-to-end supply chain: from production through transmission and delivery. Participants share emissions data throughout the value chain with the certification agency, Context Labs.
The Decarbonization-as-a-Service™ platform will enable Context Labs’ partners in upstream, midstream and downstream firms to track and quantify emissions associated with natural gas procurement, transmission, and delivery down to the individual molecule.
Achieving this ambitious goal involves ingesting and analyzing vast amount of complex time series data from proprietary systems like FlowCal, Maximo, and Pi which house critical data of transmission, emissions etc.
Wipro successfully tackled complex data engineering challenges by developing a PI Asset Framework (AF) for the NextGen use case, enabling seamless querying of data through PI AF using a linked server. Wipro leveraged Delta Share from Databricks for delivering data to Context Labs, while also provides necessary access tokens to the third party, in less than 48 hours which was a significant achievement. From complex data engineering to pioneering Delta Share and AI-driven tag consistency, Wipro’s solutions paved the way for NextGen Gas.
Delivering the Plant of the Future
Our connected future: How industrial data sharing can unite a fragmented world
The rapid and effective development of the coronavirus vaccines has set a new benchmark for today’s industries–but it is not the only one. Increasingly, savvy enterprises are starting to share industrial data strategically and securely beyond their own four walls, to collaborate with partners, suppliers and even customers.
Worldwide, almost nine out of 10 (87%) business executives at larger industrial companies cite a need for the type of connected data that delivers unique insights to address challenges such as economic uncertainty, unstable geopolitical environments, historic labor shortages, and disrupted supply chains. In fact, executives report in a global study that the most common benefits of having an open and agnostic information-sharing ecosystem are greater efficiency and innovation (48%), increasing employee satisfaction (45%), and staying competitive with other companies (44%).
Mitsubishi Heavy Industries Engineering: How data can transform transportation efficiency
AVEVA announces the completion of its acquisition by Schneider Electric
AVEVA, a global leader in industrial software, today announced the completion of its acquisition by Schneider Electric, a leading global industrial company specializing in digital automation and energy management. Since its foundation, AVEVA has grown from a niche design software developer to a leading global industrial software company with a value of more than £10bn.
AVEVA Industrial Metaverse
How to pull data into Databricks from AVEVA Data Hub
Our Industrial Life: S. 2 Ep. 4 - How digitization is decarbonizing industry
AVEVA E3D Design Overview
Predictive Monitoring: Gas Turbines Demo
Schlumberger and AVEVA Announce Agreement to Advance Digital Solutions for Oil & Gas Production Operations
Schlumberger and AVEVA today announced an agreement to integrate edge, AI and cloud digital solutions to help operators optimize oil and gas production. The companies will work together to streamline how energy operators acquire, process and action field data for enhanced wellsite efficiency and performance. Initial focus of the collaboration includes linking edge systems to applications in the DELFI* cognitive E&P environment to better manage equipment health and optimize performance.
Inside Schneider Electric’s Smart Factory
According to Clayton, the goal of Schneider Electric’s IIoT initiative in Lexington is to boost efficiency and overall market competitiveness by introducing technologies that modernize and reinvent the control, monitoring and management processes of the plant.
It’s part of Schneider Electric’s global effort to digitally transform its factories and distribution centers. The 183-year-old company’s supply chain encompasses nearly 300 factories and logistics centers in more than 40 countries. Most of those facilities use the same IIoT technology that the company offers to its customers.
“These facilities are core to [our] Tailored Sustainable Connected Supply Chain 4.0 program, which creates a customized, sustainable and end-to-end connected supply chain across the plan, procurement, make, customer and sustain domains,” explains Clayton.
How Augmented Reality Became a Serious Tool for Manufacturing
Making monsters appear in games like Pokémon Go is not the only application for augmented reality these days. Industry is using the technology too, harnessing CAD data for training workers, standardizing workflows, and enabling collaboration.