Buildings IOT | April 04, 2022
s building owners become increasingly interested in advanced tools to better manage their properties, Buildings IOT released the OAP (Ontology Alignment Project). This open-source ontology includes a data model for a growing list of systems within the built environment and is foundational for improving building management and operations. The OAP defines both the name and the points associated with building entities as diverse as rooftop units, electric meters, and booster pumps to make their data more readable by machines. With this crucial first step, Buildings IOT is making it easier and faster for integrators to deploy building management software at scale.
This effort aims to support and extend existing building modeling standards, such as Project Haystack and the Brick Schema, and to make the new schema compatible with real-world integration projects.
“A data standard like the OAP allows building operators to trust that their building automation systems are open, interoperable and easily updated as their buildings evolve,” explains Gina Elliott, Chief Services Officer for Buildings IOT. “This results in easier commissioning, more reliable troubleshooting, and true consistency of data and reporting across a portfolio of buildings.”
In addition to providing standard tags for equipment and devices, the OAP also provides a model for specifying relationships that define how entities within the building's systems relate to each other. For example, a reference can designate that an air handling unit is supplying air to a variable air volume unit. By designating these relationships within the data model, system-based and root cause analytics can be applied more efficiently.
With the ability to normalize and standardize building and IoT data, the OAP enables the programmatic application of analytics, user interfaces, fault detection and diagnostics (FDD), and other use cases that leverage building data for more effective management and operations.
Rather than create yet another naming standard, the OAP unites multiple industry naming and tagging standards, allowing for translation between other ontologies such as Project Haystack and Google’s Digital Building Ontology. This data translation component makes it possible for users of other ontologies to take advantage of the OAP in ways that make sense for their needs, without having to start over on any tags or naming conventions they may have already deployed.
The OAP makes it easier for integrators to get a site digital-building ready without requiring duplicative efforts across the technology stack.
As a use case, the Buildings IOT Integration team used the OAP standards to model the data in all connected systems at 800 West Fulton Market in Chicago. This delivered multiple benefits for the highly integrated building:
System models were easily leveraged by the various applications relying on the data.
Integration was completed faster and with less re-work as the team was given a clear and concise list to follow at the beginning of the project.
The time from integration to front-end deployment was significantly reduced.
The members of the OAP working group actively participate in other industry forums and groups and will expand on existing taxonomies to support real-world integration and technology needs.
“Building owners can be confident that the underlying data in their various building systems is significant,” adds Elliott. “Building operations and service managers can gain meaningful insights into commissioning and maintenance activities to meet ESG mandates, regulatory initiatives, and tenant expectations.”
About Buildings IOT
Buildings IOT simplifies smart buildings with software, services, and solutions for every aspect of building management. Command-and-control from a single pane of glass, analytics enhanced by machine learning, and a building-domain-centric data management platform, Buildings IOT delivers smart buildings that live up to the hype. We also design and install building controls and automation systems, offer IT-managed services and device testing for cybersecurity vulnerabilities, and provide data-driven maintenance to some of the world's largest building portfolios.
AWS | April 23, 2022
Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today at AWS Summit San Francisco announced the general availability of AWS IoT TwinMaker, a new service that makes it faster and easier for developers to create digital twins of real-world systems like buildings, factories, industrial equipment, and production lines. Digital twins are virtual representations of physical systems that use real-world data to mimic the structure, state, and behavior of the objects they represent and are updated with new data as conditions change. AWS IoT TwinMaker makes it easy for developers to integrate data from multiple sources like equipment sensors, video cameras, and business applications—and combines that data to create a knowledge graph that models the real-world environment. With AWS IoT TwinMaker, many more customers can use digital twins to build applications that mirror real-world systems that improve operational efficiency and reduce downtime. There are no upfront commitments or fees to use AWS IoT TwinMaker, and customers only pay for accessing the data used to build and operate digital twins
Industrial companies collect and process vast troves of data about their equipment and facilities from sources like equipment sensors, video cameras, and business applications (e.g., enterprise resource planning systems or project management systems). Many customers want to combine these data sources to create a virtual representation of their physical systems (called a digital twin) to help them simulate and optimize operational performance. But building and managing digital twins is hard even for the most technically advanced organizations. To build digital twins, customers must manually connect different types of data from diverse sources (e.g., time-series sensor data from equipment, video feeds from cameras, maintenance records from business applications, etc.). Then customers have to create a knowledge graph that provides common access to all the connected data and maps the relationships between the data sources to the physical environment. To complete the digital twin, customers have to build a 3D virtual representation of their physical systems (e.g., buildings, factories, equipment, production lines, etc.) and overlay the real-world data on to the 3D visualization—and then ensure the digital twin is kept up to date as conditions change. Once they have a virtual representation of their real-world systems with real-time data, customers can build applications for plant operators and maintenance engineers who can leverage machine learning and analytics to extract business insights about the real-time operational performance of their physical systems. Because the work required is complex, the vast majority of organizations are unable to use digital twins to improve their operations.
AWS IoT TwinMaker makes it significantly faster and easier to create digital twins of real-world systems. Using AWS IoT TwinMaker, developers can get started quickly building digital twins of devices, equipment, and processes by connecting AWS IoT TwinMaker to data sources like equipment sensors, video feeds, and business applications. AWS IoT TwinMaker contains built-in connectors for Amazon Simple Storage Service (Amazon S3), AWS IoT SiteWise, and Amazon Kinesis Video Streams (or customers can add their own connectors for data sources like Amazon Timestream, Snowflake, and Siemens MindSphere) to make it easy to gather data from a variety of sources. AWS IoT TwinMaker automatically creates a knowledge graph that combines and understands the relationships of the connected data sources, so it can update the digital twin with real-time information from the system being modeled. Customers can import existing 3D models (e.g., CAD and BIM files, point cloud scans, etc.), directly into AWS IoT TwinMaker to easily create 3D visualizations of the physical system and overlay the data from the knowledge graph on to the 3D visualizations to create the digital twin. Once the digital twin has been created, developers can use an AWS IoT TwinMaker plugin for Amazon Managed Grafana to create a web-based application that displays the digital twin on the devices plant operators and maintenance engineers use to monitor and inspect facilities and industrial systems. For example, developers can create a virtual representation of a metals processing plant by associating data from the plant’s equipment sensors with real-time video of the various machines in operation and the maintenance history of those machines. Developers can then set up rules to alert plant operators when anomalies in the plant’s furnace are detected (e.g., temperature threshold has been breached) and display those anomalies on a 3D representation of the plant with real-time video from the furnaces, which can help operators make quick decisions on predictive maintenance before a furnace fails.
“Sensors for equipment, buildings, and industrial processes are proliferating and generating massive amounts of data. Customers are increasingly eager to use that data to optimize their operations and processes and one way to do that is using digital twins, but they find that building a digital twin and custom applications is difficult, time consuming, and prohibitively expensive to maintain today,” said Michael MacKenzie, General Manager, IoT at AWS. “With AWS IoT TwinMaker, customers can now derive previously unavailable insights about their operations that inform real-time improvements to their buildings, factories, industrial equipment, and production lines, and make accurate predictions about system behavior with minimal effort.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 84 Availability Zones within 26 geographic regions, with announced plans for 24 more Availability Zones and eight more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.
Sternum | May 10, 2022
Sternum, the provider of the Internet of Things (IoT) cybersecurity and observability platform, offering complete real-time firmware security, announced the release of the first real-world attack simulation and evaluation platform, enabling IoT device makers to evaluate their devices against top current threats.
The threats to IoT devices continue to grow and the impact has increased significantly. According to research by Forrester Consulting, 67% of enterprises in the US have experienced an IoT incident, and only 16% of enterprise security managers say they have adequate visibility to the IoT devices in their environments. In March 2022, the U.S Government Issued Stark Warning calling Firmware Security a “Single Point Of Failure”
While there are many IoT security solutions, devices remain highly vulnerable. Device makers find it hard to understand the level of risk in their devices, prioritize their resources, and choose the most effective solution to reduce risk. Many security solutions claim coverage using frameworks like the MITRE ATTACK evaluation framework. However, no such framework exists for IoT devices. Additionally, the complexity of the threat landscape and the myriad of devices make assessing the level of risk and choosing the right solution to protect the devices an extremely difficult task.
With its deep expertise in cyber offense and defense, Sternum first identified the 20 most critical attacks in the last few years and developed a platform to simulate these attacks and demonstrate firmware weaknesses, exploitation methods and protection options. Enterprises can then make well-informed decisions about how to best protect their devices.
Sternum will demonstrate live the first attack simulation platform for the top 20 attacks on many IOT devices at their booth xxx at the Barcelona Cybersecurity Congress on May 10th.
Sternum is the only code-free, device-resident IoT security, observation, and data-harvesting company. The Company’s transformational, patented software can be embedded into any IoT device, no matter the underlying code, manufacturer, or year of production, and is actionable whether the device is connected or not. This self-sustaining, unified platform brings intelligence to otherwise non-communicative edge devices, enabling them to autonomously protect themselves without connectivity and generate real-time data; processing happens in the Sternum cloud platform when available. Sternum was founded in 2018 by a team of highly experienced research, development, and business leaders, many coming from the Israeli Defense Forces’ (IDF) elite 8200 unit.
SOFTWARE AND TOOLS
Identiv | May 12, 2022
Identiv, Inc. (NASDAQ: INVE), global digital security and identification leader in the Internet of Things (IoT), today announced its Singapore transponder facility is fast approaching 350M+ units for specialty radio frequency identification (RFID) products through 2023. The company secured globally recognized compliance certifications and performance metrics to deliver accelerated growth in innovative IoT and RFID solutions.
RFID and near field communication (NFC) are connective technologies enabling the rapid expansion of the IoT as the need to exchange more data between objects increases. Investment firm Craig-Hallum estimates the IoT market should grow at a ~20% CAGR over several years, approaching a $1T market longer-term. As more products request specialized RFID technology, Identiv is uniquely positioned to accelerate growth.
"Identiv has unlocked accelerated growth with a focused strategy. We anticipated this trend and positioned our facilities accordingly, investing in highly integrated manufacturing, specialty R&D, and additional sales capacity to pursue and develop novel use cases. We have taken a once commoditized RFID tag and enabled innovative, higher-margin applications at scale," said Amir Khoshniyati, VP and GM Transponders, Identiv.
Identiv continues to build a team with best-in-class engineering and operations talent to drive RFID business growth and expansion in its Singapore Center of Excellence in the Serangoon North cluster. The company has invested substantially in the Singapore production site and will continue to further its scale beyond the nine-figure production capabilities with premier manufacturing, converting, and encoding equipment.
"The investment in our R&D and manufacturing capabilities means we can bring a highly specialized and complex RFID project from iteration to production-ready device in months. This compares to commodity-focused providers taking years to complete. The Singapore facility is on track for 350M+ units through 2023."
Dr. Manfred Mueller, COO and GM Identity, Identiv.
In addition to substantially increased capacity, Identiv has completed important compliance and certification marks to deliver innovative IoT solutions. The company achieved the world's most recognized quality management standard certification, ISO 9100, to drive continuous improvement, streamline operations, and reduce costs. The certification requires a rigorous audit of business processes and achievement of the certification demonstrates Identiv's ability to provide quality while continuously improving services and internal processes and gives customers confidence in the company's operations.
Identiv also secured ISO 14001, the international standard for environmental management systems (EMS). ISO 14001 is the principal management system standard that specifies requirements for the formulation and maintenance of an EMS. The certification confirms that Identiv operations meet the highest standards for environmental management and show a strong commitment to sustainability and environmental protection. The company also achieved the local Singapore Workplace Safety and Health Council bizSAFE level 3 compliance certificate designed to deliver workplace safety and health capabilities.
Identiv's leading healthcare and mobility customers have each provided compliance certifications with the highest standards. The recent achievements position Identiv with product innovation and sustainability awards in multiple categories.
"The increasing demand for RFID and NFC solutions to verify identities and security in the IoT are embedded in billions of everyday objects, including medical devices, books, toys, athletic apparel, perishables, and pharmaceuticals. We will continue to invest in increasing our capacity and bringing on new talent to create a digital identity for every physical object," said Khoshniyati.
Identiv, Inc. is a global leader in digitally securing the physical world. Identiv's platform encompasses RFID and NFC, cybersecurity, and the full spectrum of physical access, video, and audio security. Identiv is a publicly traded company, and its common stock is listed on the NASDAQ Stock Market LLC in the U.S. under the symbol "INVE".