About six months ago, ABB completed a divestiture of about 80% of its holding in ABB Power Grid business, and Hitachi acquired it. The new business, a joint venture, is called Hitachi ABB Power Grids. Today, it announced the integration of its Digital Enterprise solution with Hitachi Vantara’s Lumada portfolio of digital solutions and services for turning data into insights.
The two Hitachi business entities have agreed to rebrand the DE components as Lumada Asset Performance Management (APM), Lumada Enterprise Asset Management (EAM), and Lumada Field Service Management (FSM), adding to the growing portfolio of DataOps and Industrial IoT solutions.
The DE portfolio of solutions and its predecessors enable customers spanning multiple global industries to operate, analyze and optimize over $4 trillion of assets every day. With the incorporation of the DE portfolio into Lumada, this experience is further complemented by a leading technology engine to deliver access to information, systems, people and analytics across asset-intensive organizations.
With Digital Enterprise’s incorporation into Lumada, Hitachi ABB Power Grids’ energy domain experience will be augmented by Hitachi’s Lumada Industrial IoT platform. Hitachi was recently named a Leader in the 2020 Gartner Magic Quadrant for Industrial IoT Platforms based on Gartner Inc.’s evaluation of the company and its Lumada IoT software.
“Our software solutions and Lumada are highly complementary,” said Massimo Danieli, managing director, grid automation business unit, Hitachi ABB Power Grids. “Combining best-in-class Lumada IoT capabilities and the domain expertise built into Digital Enterprise applications provides both new and existing customers unparalleled flexibility and faster time to value, while preserving the value of their past software investments. The journey we began with our customers as part of the Digital Enterprise evolution story has become broader and more compelling, as we join the Lumada ecosystem.”
“Lumada Enterprise Asset Management and Field Service Management allow us to seamlessly expand our Ellipse EAM, enabling us to share information across all parts of our organization, tearing down silos and giving us the opportunity to formulate a longer-term, holistic strategy that reflects our specific business outcomes,” said Brian Green, general manager, asset management, from the Australian Rail Track Corporation (ARTC). “In addition, implementing these solutions allows us to optimize the quality of the data we collect and ensure safe, compliant and efficient business operations.”
“Bringing these solutions that each encapsulate deep domain expertise into the greater Lumada ecosystem gives customers an extremely powerful combination of tools to modernize their business,” said Chris Scheefer, senior vice president, Industry Practice, Hitachi Vantara. “The holistic view of assets and information provided by Lumada allows leadership to analyze and react in real-time, enabling efficient, effective operations and a foundation to create a more sustainable future.”
DE and Lumada also share core foundational features: a modern microservices design, vendor-agnostic interoperability, and a flexible deployment model, including cloud, on-premises and hybrid.
With the combination of Hitachi ABB Power Grids’ Digital Enterprise application portfolio and Hitachi’s Lumada solutions offered by Hitachi Vantara, customers will be able to benefit from additional data services including data integration, data cataloging, edge intelligence, data management, analytics and more.
The new integrated Lumada portfolio will offer advantages to customers in the following key areas:
1. Digital Transformation & Data Modernization – improving access to and insights from data
2. Connected Asset Performance – helping to predict and prevent asset failures
3. Intelligent Operations Management – improving oversight and maintenance of assets
4. Health, Safety & Environment – enabling safer environments for workers and the public
Amazon popped up on a recent post regarding Amazon Web Services. This news came to me from the analyst firm Interact Analysis. I’ve talked with executives there a few times, and I generally like the approach they take. I’m amused that IT companies think maintenance when they think manufacturing and then add predictive analytics, which they all have, combining them into predictive maintenance looking for a killer app.
Anyway, this analysis by Blake Griffin, senior analyst at Interact Analysis, has food for thought. Just what is Amazon up to with the manufacturing space?
- “The full development of Amazon’s industrial digitalization offering represents the first time a supplier has the ability to provide both the cloud storage and analytic capabilities under one entity”
- “If customers are looking to utilize the cloud for their industrial digitalization initiatives, Amazon would represent the fewest number of touchpoints between customer and supplier during the sales process”
- “Additionally, many manufacturers may already be using AWS for cloud storage but have yet to invest into further industrial digitalization technology. In these scenarios, Amazon would already have a ‘foot in the door’”
- Amazon offers an on-premise version of AWS for low latency applications – AWS Outpost: “In our opinion however, outpost will also serve as an option for customers looking to implement predictive maintenance who may be shy of hosting their operational data on the cloud… AWS Outpost will be regularly updated and patched… which ensures that users are still able to take advantage of the scale at which AWS operates”
On December 1st, 2020, Amazon announced a suite of new AWS machine learning services. To many, this announcement appeared to be Amazon’s launching off point towards being a major supplier of predictive maintenance solutions. However, this announcement follows a long history of Amazon carving out its capabilities in industrial digitalization. Since the ecommerce behemoth’s 2018 release of AWS IoT Sitewise, a service which enables its users to gather and organize asset health related data housed in repositories such as a historian, Amazon has consistently added to its industrial digitalization offering. Now, the company has a highly competitive solution with one capability completely unique to Amazon.
Amazon’s Industrial Digitalization Offering Has Been Developing for Years
In some ways, Amazon’s announcement of its new suite of machine learning services represents a rounding out of a predictive maintenance offering rather than a jumping off point. When manufacturers are looking at implementing predictive maintenance into their facilities, they are asking these fundamental questions:
- Which assets do I have visibility into already? How can I leverage this data?
- Which assets do I not have visibility into? What can I do to change that?
The announcement of AWS IoT Sitewise was Amazon’s solution to the first question. Many manufacturers in process industries generate large amounts of data from the devices controlling their machines. This data is often stored in a historian and without the tooling necessary to effectively manage and analyze such data, much of its value can be lost. AWS IoT Sitewise was developed so manufacturers could more effectively utilize this data for condition monitoring/predictive maintenance purposes. The solution is deployed through software housed in a gateway which then communicates the collected data to the AWS cloud. In our opinion, this marked Amazon’s true entry into the predictive maintenance market. Strategically, this was a logical first move. Amazon already had a wealth of analytical tools it could deploy to make use of data housed in a historian, the only thing needed was a mechanism for gathering and organizing that data to be analyzed.
Fast forward to Amazon’s recent announcement and we see the company moving to provide a solution to question two. One asset that is cited often as being “offline” from a condition data perspective are the mechanical portions of a motor driven system i.e. induction motors, gearboxes, bearings blocks, etc. These components are numerous throughout factory floors and their failure can represent significant loss of production if they are part of an application critical process. The industry has responded to this need by offering smart sensors, a wireless enabled sensor which can be connected to the side of a motor for purposes of gathering data on vibration and temperature behavior. These two data points, when combined with machine learning algorithms, can quickly illuminate what kind of stress motor components are facing and alert its users of problems ahead of failure.
One of the services announced in late 2020 has been coined Amazon Monitron. The solution utilizes smart sensors and gateways produced by Amazon to offer up data on the health of motor system equipment; effectively solving the problem of gathering data on assets not being monitored via historian data. This solution is in direct competition with predictive maintenance providers like ABB, Siemens, SKF, etc. In our view, the announcement of Monitron means Amazon now has a solution which fully addresses the needs of manufacturers looking to invest in predictive maintenance as part of a broader industrial digitalization initiative. Amazon’s utilization of data housed in a historian, combined with its smart sensor offering and vast analytics capability offered through AWS, make this solution as competitive as any on the market. Amazon does however have one distinct advantage over competition however: being a provider of cloud storage.
Amazon’s Unique Capability: Cloud Storage Ownership
Every platform offered by the major providers of predictive maintenance are built on cloud storage technology offered largely by either AWS or Microsoft Azure. ABB Ability cites Microsoft Azure as the landscape in which Ability operates. Similarly, Schneider Electric’s Ecostuxure platform utilizes Microsoft Azure. Siemens Mindsphere has developed the capability to be used with either AWS or Azure, announcing its compatibility with the latter in 2018. The full development of Amazon’s industrial digitalization offering represents the first time a supplier has the ability to provide both the cloud storage and analytic capabilities under one entity.
It is difficult to foresee what impact this will have on the partnerships AWS has in place with current industrial digitalization providers. What is easy to see however are the numerous advantages Amazon will have in potentially winning the business of those investing into industrial digitalization for the first time. If customers are looking to utilize the cloud for their industrial digitalization initiatives, Amazon would represent the fewest number of touchpoints between customer and supplier during the sales process. Additionally, many manufacturers may already be using AWS for cloud storage but have yet to invest into further industrial digitalization technology. In these scenarios, Amazon would already have a ‘foot in the door’ which would yield them an advantage when the time comes for users to begin evaluating providers of digitalization.
Amazon’s AWS Outpost Helps Overcome a Major Barrier to Predictive Maintenance Adoption
One of the largest barriers facing suppliers of predictive maintenance solutions is manufacturers’ reluctance to host its operational data on the cloud. Recently, Interact Analysis partnered with the Association for Packaging and Processing Technologies (PMMI) to produce a white paper and accompanying survey pertaining to adoption of predictive maintenance technology within the packaging industry. The whitepaper and survey results are available for download for free via this link. One of the questions asked in the survey looked at the adoption of predictive maintenance within OEM and system integrator offerings. “Our customers will not allow remote access to their machinery” received the second highest weighted score according to the survey.
Question: To what extent are the following statements describing the adoption of predictive maintenance (PdM) technologies at your company, true or false?
- We are not familiar with PdM technology.
- The added cost of PdM technology is too high to justify.
- We do not want to have to pay for an ongoing subscription to access sensor data from an automation vendor.
- The technology is too new.
- We currently offer machines with PdM technology
- None of our customers have expressed interest in PdM technology
- Our customers will not allow remote access to their machinery (remote monitoring)
This hesitancy by users to allow access to operational data has led suppliers to develop solutions which, instead of aggregating and analyzing data in the cloud, host their data for analysis onsite.
Amazon has addressed this concern by offering an on-premise version of AWS. This on-premise version of AWS, termed AWS Outpost, was released in 2019 and is designed to serve applications requiring low latency. In our opinion however, outpost will also serve as an option for customers looking to implement predictive maintenance who may be shy of hosting their operational data on the cloud. Keeping data onsite as opposed to in the cloud ensures the door to the OT network remains closed; something many manufacturers are keen to maintain.
Having the power of a modular cloud system like AWS on-premise is an incredibly powerful development in the predictive maintenance market. AWS Outpost will be regularly updated and patched by a regional AWS team which ensures that users are still able to take advantage of the scale at which AWS operates. This is an important consideration when working with machine learning algorithms which become more accurate when deployed at scale. Current on-premise predictive maintenance solutions sacrifice this accuracy in favor of the increased security which on-premise brings. With AWS Outpost, users will no longer have to make that sacrifice.
Additionally, if you define an edge device as the point at which data is pushed to the cloud, this solution effectively eliminates the need for such devices thus simplifying the overall architecture.
At the very least, this announcement should be taken as a signpost of future growth within an already fast-growing predictive maintenance market. Amazon does not enter markets which are expected to appreciate modestly; it enters markets whose opportunity could one day be worth billions of dollars. The amount of time spent developing, releasing, and improving upon Amazon’s industrial digitalization offering should be indicative of the faith the company has in the future of this market.
Honeywell’s PR person has been a regular in my inbox for the past few months. I have two news releases from different areas of Honeywell, but each relevant to the cause. One fits within the current trend toward cloud partnerships that extend value to customers. The other advances gas metering—eliminating a source of waste and cost.
Honeywell and Microsoft
The integration of Honeywell Forge and Microsoft Dynamics 365 Field Service will provide closed loop maintenance for building owners and operators.
The integration allows customers to access operating data that includes workflow management support so that workers in the field will be able to access critical data that will help them prioritize, analyze, and solve problems more quickly.
The first area of focus will be in automating maintenance for building owners and operators. To optimize their buildings’ energy, performance and comfort, they often need to pull data from a variety of sources that are not normalized and inform remote and dispersed workforces. Facility managers must determine what problem to fix, when to fix it and who to assign to the job, which can be very difficult without having the necessary asset know-how and work order management capability.
“Honeywell’s partnership with Microsoft will deliver new value to our customers as we help them solve business challenges by digitizing their operations,” said Que Dallara, president and CEO, Honeywell Connected Enterprise. “Working with Microsoft, Honeywell will bring solutions at scale – powered by AI-driven insights and immediate access to data – that will help our customers work more efficiently than ever before.”
Dynamics 365 Field Service allows companies to remotely detect and address potential issues early to avoid unnecessary downtime or operational inefficiencies by analyzing IoT data and to improve proactive service offerings through AI-infused IoT alerts and work orders. Leveraging Microsoft’s cloud will enable Honeywell to quickly bring new offerings to market while helping customers meet regional security, privacy, and compliance requirements.
“To achieve resilient operations and sustainable growth, businesses need to partner to fully unlock the opportunities of cloud, AI and IoT technologies. By integrating Honeywell and Microsoft services, companies turn IoT data into critical business insights and actions to optimize operations and deliver new customer value faster,” said Judson Althoff, executive vice president, Microsoft’s Worldwide Commercial Business.
Working with Microsoft, Honeywell is already delivering the following Honeywell Forge SaaS solutions that will address what customers need now to return to work and, in the future, to operate safely and efficiently, including:
- Digitized Maintenance – Offers a panoramic view of the performance of facilities and assets using near real-time analytics. This provides important information about critical equipment issues before they become big repair or even replacement problems.
- Energy Optimization – A cloud-based, closed-loop, machine-learning solution that continuously studies a building’s HVAC energy consumption patterns and automatically adjusts to optimal energy saving settings without compromising occupant comfort levels.
- OT Cybersecurity – Honeywell Forge Cybersecurity provides continuous threat detection with minimal disruption of services. The robust software solution simplifies, strengthens and scales industrial cybersecurity operations across the enterprise.
The companies are also exploring more ways to bring innovation to customers by integrating Honeywell Forge solutions with Azure services such as Azure Digital Twins and Azure edge capabilities. Using edge computing, customers can run AI, machine learning, and business processes directly across plants, warehouses, machines, and appliances for quicker actions without the need for a constant internet connection.
Honeywell Metering Software App
Honeywell announced the release of Measurement IQ (MIQ) Optimize – an enterprise-wide solution for monitoring meters, gas chromatographs, and other measurement assets. The new software solution collects and analyses diagnostic information from devices across different sites for a real-time overview of metering health. The MIQ Optimize solution can provide an early warning of measurement concerns, so that operators can prioritize and address meter issues having the most impact on their business.
MIQ Optimize allows users to detect increasing measurement uncertainty more quickly, helping avoid failures and downtime, reducing engineer site visits, and extending calibration periods. The solution also includes recommended actions to ease troubleshooting and maintenance – identifying the most likely causes of meter issues and suggesting remedies. The software supports Honeywell meters and gas chromatographs as well as devices from other major manufacturers.
“Measurement IQ Optimize provides the first vendor-agnostic, enterprise-wide view of the health of metering operations. From a single pane of glass, users can identify their key sources of measurement uncertainty, the value at risk and what they can do to reduce it,” said Max Gutberlet, offering manager, gas software and solutions, Honeywell Process Solutions. ”It’s a powerful tool for directing condition-based maintenance programs and dramatically reducing the cost of lost and unaccounted gas through mismeasurement.”
The solution allows gas distribution businesses and others to address the millions lost every year to undetected meter inaccuracy. Uncertainty of just 0.5% in ultrasonic gas measurement can add up to a cost of approximately $1 million per year. With real-time monitoring, operators can detect issues before these losses accumulate; while enterprise-wide management of meter uncertainty can drive improvement in fiscal metering margins.
If I receive a press release without either “partnership” or “AI” in it, it will be the featured news for a week. Of course, I’m all about digital. Now that we’re past all the releases about what technology companies are doing to help protect workers from Covid, those are the keywords. This news highlights an interesting partnership between AVEVA and Chemical Business SCG to promote something called “digital reliability.” And reliability is a key requirement for technologies ever since the invention of the plow.
Strategic collaboration between the organizations extends the Engineering Digital Twin and harnesses AI-Infused Asset Performance Management to prevent unplanned downtime
AVEVA and Chemicals Business, SCG, one of the largest petrochemical companies in Thailand and a key industry player in Asia, have announced their strategic partnership to develop a Digital Reliability Platform (DRP), a complete asset performance management (APM) solution to predict equipment health, monitor performance, and enable advanced maintenance across its operations to eliminate unplanned downtime. The DRP was completed through collaborative effort. This partnership matched the company’s broader digital transformation imperative to become a data-driven organization to advance its position as a leader in the petrochemical industry and to also take the DRP solutions to the market
Asset reliability is critical for asset intensive businesses such as petrochemicals. Unplanned shutdowns cause significant negative impacts on petrochemical value chains. Digital transformation initiatives enable businesses to address this risk by harnessing data to build and deploy an advanced APM solution to monitor critical assets and predict failure towards a goal of zero unplanned shutdowns. The solution integrates online and offline equipment data to visualize plant performance, enhance workforce efficiency, and apply artificial intelligence (AI) for predictive maintenance and resolution.
“This is a great achievement for Chemicals Business, SCG since reliability is a critical element to our business. With the innovative approach of the Digital Reliability Platform, we will ensure that we can eliminate the business risks posed by unplanned downtime. In our quest for a partner, AVEVA was the only company to provide an end-to-end solution spanning engineering, operations, and maintenance. With the DRP, we have successfully brought together big data, AI, machine learning, and predictive analytics into a practical solution that will empower our workers and improve our performance,” said Mr. Mongkol Hengrojanasophon, Vice President – Olefins Business and Operations, Chemicals Business, SCG.
“Moreover, this partnership will include launching the Digital Reliability Platform Solutions to the market. This would be the first complete and unique digital solutions which combine both breakthrough technology and industrial specific information,” added Mr. Mongkol.
“Our strategic partnership with Chemicals Business, SCG is a major milestone for us in leveraging the strength of our portfolio to deliver value through digital transformation. We are proud to be part of this collaboration that improves operational efficiency and reliability to achieve zero unplanned downtime by maximizing asset availability with predictive and prescriptive maintenance. The standardized systems and processes defined through this collaboration will also result in improved workforce efficiency,” said Ravi Gopinath, Chief Cloud Officer and Chief Product Officer at AVEVA
The Digital Reliability Platform will bring together digital innovations and practitioner knowledge to increase work efficiency and safety to establish a new competitive standard within the industry.
In brief: Three Organizations Combine Expertise to Bring Digital Twins to Life, Create Added Value, and Deliver Support Across the Asset Lifecycle
The idea of an open system for data flow from engineering through construction to startup to operation & maintenance, and perhaps even to decommissioning has intrigued me for years. I have worked with MIMOSA and its Open Industrial Interoperability Ecosystem for many years. Check it out.
For the most part, suppliers have been a bit slow to this game. The way of the world is that automation vendors never liked the “open” part, since their design emphasizes tight integration of as many parts as possible under their proprietary umbrella.
An ecosystem is one thing, and a partnership is another. Sometimes companies announce partnerships with great flourish and publicity only to see the great promise wither from neglect. Sometimes end users (owner/operators) reap significant benefit.
With that background, I approach the announcement of a partnership. I like the idea, but execution and sustainability will be proof of the strength of this partnership. Note that two of the companies are sort of like “conjoined twins” joined at the hip.
From the announcement:
DORIS Group, global Engineering and Project Management company in the energy industry, Schneider Electric, supplier of products and solutions for digital transformation of energy management and automation, and AVEVA an engineering and industrial software supplier, have agreed to develop a strategic partnership to deliver Digital Twin technology for the upstream oil and gas markets.
These new solutions will support the goals of oil & gas organizations to improve asset performance, increase sustainability and maximize return on capital on projects.
The three companies will combine offerings to bring engineering capabilities, an asset lifecycle software solution and digital specialization in order to create a fully formed digital twin to serve as a backbone for improving performance for the upstream sector. The new solution will:
- Bring new assets on stream faster through the use of cloud-enabled software that improves collaboration and increases engineering efficiencies
- Deliver enhanced safety leading to better business outcomes
- Improve traceability through a single point of accountability
- Enable remote operations and production assurance through a fully functional Living Digital Twin that mirrors all aspects of the operating asset
Oil & Gas owner operators have struggled to go digital due to the lack of a structured offering and orchestration as no single vendor currently delivers what is required to achieve this. Large amounts of data of various types, from different sources is another challenge they face, often leading to data inaccuracy and incompatibility, as well as difficulties in organizing that data and identifying trends.
Similarly, the oil & gas sector is under considerable pressure to quantify, track and reduce CO2 emissions as well as reduce overall pollution – this can be even more difficult with limited monitoring, no established method and no data-driven decision making.
Together, DORIS, AVEVA, and Schneider Electric will offer a structured digital and collaborative solution across the lifecycle of projects that will help oil & gas owner operators address many of these challenges.
Christophe Debouvry, CEO of DORIS Group, stated, “DORIS Group is excited to be strategically partnering with Schneider Electric and AVEVA in this unique venture which will allow us to accelerate the building out of our digital transformation strategy. Combining our complementary expertise will go a long way to providing a powerful enabler to offer our customers embarking on their digital transformational journeys with optimized solutions throughout their assets lifecycle.”
Craig Hayman, CEO AVEVA, also commented, “Leaders driving the next wave of transformation are moving quickly and that’s why this partnership with Schneider Electric and DORIS Group is so opportune. Our common aim is to support organizations on their digital journey especially in the current environment, helping them accelerate the use of digital technology, realize the value of a digital twin and also work towards a more sustainable future. It’s never been easier to begin a digital transformation program, as access to cloud computing, great connectivity, a merged edge and enterprise combined with analytics and machine learning, means that the ability to digitally drive productivity improvements into the industrial world is now unprecedented.”
Christopher Dartnell, President Oil & Gas and Petrochemicals at Schneider Electric, commented, “This partnership is in line with Schneider Electric’s objectives around Digitization and Energy Transition and we will bring our expertise in both energy and process efficiency to the industry. Our goal is to support customers looking to adopt a digital twin model, by offering our experience to facilitate the overall digital transformation for our clients enable them to improve lifecycle performance and safe operations while also making their operations more sustainable.”
Emerson marketing called us together for a virtual press conference and demonstration of its take on Augmented Reality (AR) integrated with it Plantweb Optics asset performance platform. I’ve seen many demos of AR over the past many years. The technology inspires imaginative thinking, but somehow companies have just not managed to make it ready for prime time.
Emerson’s evidently is. Not only could they show a demo, it is due to be released later this summer with the next release of Plantweb Optics software. Better yet, it does not require glasses or other peripheral equipment other than the smart phone or device people are already using.
The tag line from Emerson: Analytics and live remote assistance improve productivity and safety.
What does it do, really? Well, it delivers enhanced access to real-time diagnostics and analytics, as well as live remote assistance, to industrial plant workers responsible for maintaining and optimizing plant equipment. With AR technology integrated into Plantweb Optics, companies can improve productivity, collaboration and operational performance, without being limited by shortages of skilled workers or travel restrictions.
“Successful digital transformation programs that lead to Top Quartile performance have people and work practices as a key focus. Adopting innovative technology like augmented reality and institutionalizing best practices enable workers to add more value than ever to operational and business performance,” said Stuart Harris, group president for Emerson’s digital transformation business. “With these new Plantweb Optics technologies, customers can experience significant improvements in equipment reliability and the safety of their facilities.”
Plantweb Optics leverages artificial intelligence, machine learning analytics, and data contextualization to provide real-time visibility into plant reliability and operational performance. Unlike standalone AR solutions that require custom engineering, AR is integrated into Plantweb Optics, providing immediate access to a wealth of data and translating into easier, less costly implementation and a faster return on investment. For use by manufacturers in the life sciences, food and beverage, chemical, metals and mining, power and water, pulp and paper and energy industries, Plantweb Optics is part of Emerson’s award-winning Plantweb digital ecosystem of technologies, software and services.
Augmented reality for Plantweb Optics transforms the way field technicians accomplish complex tasks through enhanced situational awareness, live remote assistance and analytics delivered in context of the plant. As a field technician walks an industrial plant with a mobile device, Plantweb Optics uses spatial computing technology to map assets and provide technicians with critical maintenance information relevant to their location. Plantweb Optics overlays real-time analytics, equipment health status and technical support documentation on their field of view, so technicians can safely resolve issues sooner.
The augmented and virtual reality market is projected to grow annually at 40% from 2017 through 2025, according to multiple research reports. Much of this spending will come from manufacturers around the globe using AR technology to help upskill their workforce for digitalized operations.
With live remote assistance, field technicians can be virtually shadowed by experts, either on-site or off-site, from Emerson, their own company or another service provider. Experts can talk, type or augment the technician’s mobile display with graphics to guide the next action. Live remote assistance enables technicians and experts to collaborate for safe troubleshooting and repairs, regardless of location and without travel costs. Live remote assistance sessions, best practices and notes from experienced engineers and step-by-step troubleshooting procedures can be logged into a knowledge library for use by all engineers at a site. The knowledge library is a resource for companies to standardize procedures and ensure engineers of all experience levels understand an asset’s history and are using best practices for safe, efficient operations.