Boston Scientific needed a manufacturer who can fulfill all requests and FDA regulations. Their equipment are used by hospitals to treat patients, thus safety and reliability are the client's key concern.
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client.
Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Emerson wanted to provide a connected environmental analyzer to their customers. They wanted to leverage IoT technologies to provide a software solution that was easy to use, real-time and centralized. Compliance with pollution control board guidelines and the ability to remotely calibrate and troubleshoot these devices was the primary objective. Requirements - Centralized Remote Monitoring. - IoT Based Smart Environmental Analyzers. - Remote Calibration and Troubleshooting. - User Friendly Application. - Reporting & Dashboards. - Compliance with pollution control board guidelines.
Disaster management, for the past few decades, has taken an unreliable and hardly scalable approach to addressing significant natural catastrophes.
The rise and success of Bitcoin during the last six years proved that blockchain technology has real-world value. However, this technology also has a number of drawbacks that prevent it from being used as a generic platform for cryptocurrencies across the globe. One notable drawback is the concept of a transaction fee for transactions of any value. The importance of micropayments will increase in the rapidly developing IoT industry, and paying a fee that is larger than the amount of value being transferred is not logical. Furthermore, it is not easy to get rid of fees in the blockchain infrastructure since they serve as an incentive for the creators of blocks.
At Atlassian, growth is on a fast track. The company adds more customers every day and consequently needed an easy way to scale JIRA, which is growing by 15,000 support tickets every month. The instance supporting this site was previously hosted in a data center, which created challenges for scaling. “The scale at which we were growing made it difficult to quickly add nodes to the application,” says Brad Bressler, technical account manager for Atlassian. “This is our customer-facing instance, which gathers all the support tickets for our products globally. It’s one of the largest JIRA instances in the world, and growing and maintaining it on premises was getting harder to do.” For example, the support.atlassian.com instance was hosted on a single on-premises server, which the company needed to frequently take down for maintenance.
The company also needed to ensure high availability for JIRA. “This is a mission-critical application, and the number of customers potentially impacted by downtime is huge,” says Neal Riley, principal solutions engineer for Atlassian. “As we grew, we became more concerned about the resiliency and disaster-recovery capabilities of the data center.”
To move into a more scalable, highly available environment, Atlassian created JIRA Data Center, a new enterprise version of the application. However, JIRA Data Center required shared storage. “We needed a shared file system so the individual application nodes could have a shared source of truth for profile information, plug-ins, and attachments,” says Riley.
WLS Lighting Systems wanted to launch a wireless product that helped their lighting system customers remotely monitor properties and lower overall energy costs. The system needed to be simple to deploy yet robust enough to withstand all outdoor elements of sun, wind, rain and snow.
TKE had a number of initiatives underway around the world to enable remote monitoring of its elevators. However, none of the solutions provided the data and insight required to move from a traditional reactive maintenance approach to one that is predictive and even preemptive, and all were challenged by information overload issues that limited their value. TKE wanted a solution that would enable it to anticipate and quickly resolve maintenance issues for the majority of the 1.2 million elevators it services across the globe.
Federal law requires pipeline operators to monitor areas where large numbers of people reside or gather within close proximity to their pipelines. These high consequence areas (HCAs) are classified based on nearby structures, population density, and business use. HCA designations impact the pipe’s maximum allowable operating pressure (MAOP), size, and inspection requirements.
AMAX's Contract Manufacturing Services to manufacture, test, and deploy systems using Intel Quad-Core Xeon Series Processors and NVIDIA Quadro FX video cards. Utilize AMAX Safety and EMC Compliance Certification to comply with FDA regulations.
Johnson Controls was contracted to replace four end-of-life water cooled chillers that provided air-conditioning for one of Morgan Stanley’s offices in Canary Wharf, London. Because of the nature of the company operations, the building was to remain fully operational throughout the project supporting both the occupants and technology. Therefore, the chillers needed to be changed out on a phased basis. Johnson Controls delivered a tailor made turnkey solution, consisting of four York water cooled centrifugal chillers. The equipment was selected and designed to deliver a conservative estimate of £30k / year saving in energy cost.
SenseGrow team worked with their Application Partner, LogicLadderTM, to understand the requirements related to all the legacy hardware. Leveraging the unique architecture of ioEYE, SenseGrow supported these legacy devices on their Cloud Platform, thereby making them plug-n-play. This enabled LogicLadder to focus on Emerson’s business requirements, without spending time or energy on the underlying core IoT infrastructure. LogicLadder used ioEYE to build a custom white-labeled solution for Emerson. Using ioEYE‘s drivers-on-the-cloud technology, SenseGrow provided support for all the devices that needed to be in the solution. By building their application on top of ioEYE platform, LogicLadder is able to provide intelligent insights about stack emissions and wastewater. This helps Emerson’s customers to take corrective actions remotely and in real-time. Integrated Technology: Emerson Rosemount Analyzers: 1. X2GK 2. MLT1R 3. X-STREAM (X2XF-A-2-07-F23) 4. X-STREAM (X2GP-A-11-F 5. X-STREAM (X2GP-A-11-F29) 6. X-STREAM (X2GP)
On the heels of National Hurricane Preparedness Week, Kaazing has worked with Citrix enabling the company to leverage the most advanced enterprise risk intelligence platform in the industry, DisasterAWARE Enterprise™
In this paper we discuss an innovative approach that does not incorporate blockchain technology. This approach is currently being implemented as a cryptocurrency called iota, which was designed specifically for the IoT industry. The purpose of this paper is to focus on general features of the tangle, and to discuss problems that arise when one attempts to get rid of the blockchain and maintain a distributed ledger.
Atlassian also needed to respond to customers wanting to run JIRA on the Amazon Web Services (AWS) Cloud. “We initially looked at several vendors, but AWS was the clear leader,” Bressler says. “We needed automatic scaling and reliability, and AWS offered us that.” The company migrated JIRA Data Center to the AWS Cloud, running all application nodes on Amazon Elastic Compute Cloud (Amazon EC2) instances. Atlassian takes advantage of Auto Scaling groups to enable automatic scaling of both applications, and uses Elastic Load Balancing to redirect application traffic to Amazon EC2 instances for consistent performance.
The netLINK Controls system is a wireless, remote monitoring and control system that uses IoT technology to instantly notify property owners the precise nature of a lighting issue. The lighting system is powered by MESHVista, an IoT cloud platform that leverages Microsoft Azure. Software Components - netLINK Controls system - MESHVista - Microsoft Azure
CGI’s development team built a pilot, cloud-based elevator monitoring system using Microsoft’s Azure-based Intelligent System Service (ISS), Microsoft’s Azure Maching Learning, HDInsight and our own Intelligent Enterprise Framework (IEF), which facilitates the rapid deployment of IoT applications. Integrated with TKE’s elevator sensors, the system harnesses data from each sensor, processes the data using business rules defined by TKE, and generates rich data insight using predictive analytics. The resulting insight is then made available to supervisors and site technicians via two different user interfaces in the form of maintenance alerts, instructions and recommendations. Feedback from users is integrated within the system, enabling it to become more accurate over time. CGI worked with Microsoft to develop predictive data models using Microsoft’s Machine Learning Azure service. Years of historical data from elevators across North America were analysed to generate sequence mappings of alarms to identify the root causes of faults. he system was implemented for a small number of elevators run by TKE in the Seattle, Washington area in the summer of 2014. The pilot project was a success, enabling TKE to reduce elevator downtime and improve resource planning, cost forecasting and maintenance scheduling. In turn, TKE has been able to provide a more competitive offering to its customers.
OmniEarth’s High Consequence Area offering automatically monitors changes within the pipeline corridor, allowing pipeline operators to minimize the cost and effort required to maintain regulatory standards. In this new HCA product, OmniEarth combines imagery based change detection algorithms, zoning information, and tax data in a cost-effective, cloud-based portal. Flexible tools, automatic notifications, and mobile accessibility make it easy to for operators to see areas with relevant changes and share data with field teams to streamline their integrity management process.
Boston Scientific is the world's largest medical-device developer, dedicated to designing and building less invasive medical equipment.
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The firm’s employees serve clients worldwide including corporations, governments, institutions and individuals from more than 1,300 offices in 43 countries.
Emerson Process Management is a Fortune 500 corporation headquartered in Missouri, United States. Emerson manufactures products and provides engineering services for a wide range of industrial and consumer markets. Emerson’s goal with this project was to make their environmental analyzers smart and connected. These analyzers are then deployed for monitoring industrial stack emissions and wastewater at Emerson’s customer sites.
Top U.S. federal agencies and disaster management organizations around the globe.
Crytocurrency reliant customers and businesses.
WLS Lighting offers cutting edge light fixtures, poles and energy conservation controls for both interior and exterior projects. They have been selling factory direct since 1969.
ThyssenKrupp Elevator (TKE) Americas is the largest producer of elevators in the Americas, providing and maintaining more than one million elevators around the world.
|Solution Maturity||Mature (technology has been on the market for > 5 years)||Mature (technology has been on the market for > 5 years)||Emerging (technology has been on the market for > 2 years)||Cutting Edge (technology has been on the market for < 2 years)||Cutting Edge (technology has been on the market for < 2 years)||Emerging (technology has been on the market for > 2 years)||Mature (technology has been on the market for > 5 years)||Emerging (technology has been on the market for > 2 years)|
Three types of data are collected:
1. Process data (48 air and water parameters such as COS, PH, etc.).
2. Device data (calibration, diagnostics, etc.).
3. Communication data (signal strength, network characteristics, etc.).
The system is expandable to add additional parameters.
Outdoor weather data
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|Youtube Video ID||SGXTWLQ76jI||SGXTWLQ76jI|
|Use Cases||Building Energy Management System (BEMS)||Continuous Emission Monitoring Systems (CEMS)||Structural Health Monitoring (SHM)Track and Trace for Industrial Tools & Assets||Asset Lifecycle Management (ALM)||Process Control & Optimization (PCO)||Predictive Maintenance||Structural Health Monitoring (SHM)|
AMAX’s built systems allow for full revision control and long product life cycle, allowing the Customer to focus on Health Care development instead of product maintenance.
Improved environmental compliance. Top management has accurate, real-time visibility into compliance performance and potential issues.
Turn data into actionable insight in near real-time. Easily import business asset and other data to receive warnings and alerts.
The node chooses two other transactions to approve according to an algorithm. In general, these two transactions may coincide.
Prior to using Amazon EFS as a shared file system for JIRA Data Center, Atlassian tested the solution internally. During testing, the company discovered the technology was simple to set up and enabled consistent throughput and capacity that stayed within threshold. “Once we went live, everything worked exactly as we expected it to,” says Bressler. “It was performant, resilient, and easy to set up, and it is easy to maintain.”
The amount of energy used in lighting processes can be lowered and made more efficient.
Strong predictive analytics that generate rich, valuable insight, enabling more proactive, predictive and pre-emptive maintenance
Provides up to 75% cost savings by reducing human error and effort compared to other HCA monitoring methods (aerial, UAV collection, manual inspections, data processing)
Customer has increased revenue and reduced overhead costs by having AMAX manufacture long life cycle reliable systems
Fewer field maintenance visits due to remote diagnostics and calibration of legacy equipment.
The node checks if the two transactions are not conflicting, and does not approve conflicting transactions.
Because it can more easily manage its JIRA instances in the cloud, Atlassian is putting more effort into enhancing applications. “By moving to the AWS Cloud, our company has been able to focus more on what we do well: providing great services to our customers,” says Bressler. “Instead of having to spend time on managing the back-end application stack, we can really step up our game and better support our tens of thousands of global customers.”
Real-time visibility, monitoring, and control of equipment improves asset and resource efficiency.
Keeps all relevant compliance data in one convenient location
Implementation time reduction. Emerson is now able to deliver Smart IoT Solutions within a few months.
For a node to issue a valid transaction, the node must solve a cryptographic puzzle similar to those in the Bitcoin blockchain. This is achieved by finding a nonce such that the hash of that nonce concatenated with some data from the approved transaction has a particular form. In the case of the Bitcoin protocol, the hash must have at least a predefined number of leading zeros.
Atlassian is better supporting its customers by utilizing the built-in disaster recovery and high availability of AWS. “We have better disaster-recovery capabilities and better uptime because our application data is replicated across multiple AWS Availability Zones,” says Riley. “If our application instances go down, we’re stopping thousands of people from getting support. By moving to a highly available platform on AWS, we are much more confident that our solutions are available at all times.”
Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
Improved cost forecasting, resource planning and maintenance scheduling
Easily configurable data views and tools to display only the most relevant information for your team
The volume of systems AMAX delivers has increased an average of 25% each year over the project’s span.
A Conservative estimate of £30k / year saving in energy cost.
100% regulatory compliance reported by Emerson customers.
Doctors and radiologists have triple and quadrupled the number of patients they see, using the medical devices running on AMAX-built systems.
60% reduction in field maintenance visits due to remote calibration capability.
Customer’s use of Intel quad-core Xeon series processors and NVIDIA Quadro FX workstation graphics cards delivers outstanding performance and enhanced graphical capabilities to perform medical tests.
IoT Snapshot: Hardware
|Processors & Boards|
|Sensors & Actuators|
IoT Snapshot: Software
|Software as a Service|
|Platform as a Service|
|Infrastructure as a Service|
IoT Snapshot: Service
|Construction & Buildings|
|Equipment & Machinery|
|Logistics & Warehousing|