DAS ran its operations on an aging on-premises legacy order management system, which experienced frequent outages and required regular maintenance and updates at considerable expense. The company's business processes also involved numerous manual steps that required significant staff time.

In India, 70 percent of the electricity generated is from coal based thermal plants. Indian coal is of low grade with ash content of the order of 30-45 % in comparison to imported coals which have low ash content of the order of 10-15%. 75 percent of this coal would go to thermal power plants and large quantities of fly ash, a residue of burning of pulverized coal and lignite is, thus being generated at Power Stations in the country, which not only requires large areas of precious land for its disposal but is also one of the sources of pollution of both air and water. The management of fly ash has been troublesome in view of its disposal.

Evonik was planning to construct a new methionine-6 plant and was looking at ways to more efficiently go through this process and make sure it's integrated with their existing online data management infrastructure.

The ReMASTER Compressed Air Monitoring system was installed in 2015. This system is capable of monitoring compressed air system parameters on a continuous basis and transferring that information to a cloud server which can be accessed by Atlas Container personnel, Industrial Diagnostics and Sparks Dynamics. This information was collected into a database which can be exported to an Excel spreadsheet or displayed graphically using Sparks Dynamics ViewMaster Software. The average annual compressed air electricity expense was estimated to be approximately $116,000. This is based on an incremental $/KWh electric rate of $.091 per KWh and an estimated compressed air energy consumption of 1,279,200 KWH. The implementation phase of Energy Conservation Measures (ECMs) for the Compressed Air System included: • Identification and repair of compressed air leaks • Understanding of compressed air usage per manufacturing machine and installation of shut off valves when the machines are no longer in production mode • Identification of misapplications of compressed air to include blow offs, venturis, and cooling scenarios • Understand system pressure requirements and potential installation of point of use pressure regulation.

LUMO Energy has considerable operational experience in the peak generation sector of the National Electricity Market in Australia. The energy provider wanted to extend the capacity of its SCADA system in order to enhance its ability to react to price fluctuations in real time and to maximize revenue. In addition, with the goal of increasing cost savings and operational efficiency, LUMO Energy was looking for a solution that would give real-time visibility into the infrastructure of its many power stations.

Water and electrical supply are two of the main concerns for public authorities. The demand of these resources grow as fast as the population in urban areas so they would become scarcer with the pass of the years. A Technavio report states that the use of smart water management technologies such as Big Data, sensoring and monitoring in real-time can help save more than USD 12 billion revenues for utilities annually.

One of the main challenges facing the technology was to create a network within underground tunnels and another was to provide products that can withstand harsh working environment. The team used amplifiers to enhance bandwidth and Litum produced IP67-rated hardware that is durable for harsh working conditions.

The modern grid comes with new engineering challenges. In the United Kingdom, as renewable energy resources are being used to supplement fossil fuel production, power quality issues are surfacing. Combine this with the rapidly increasing demand for energy and the decommissioning of fossil fuel plants, and grid operators are finding that traditional measurement systems do not offer adequate coverage to handle these new challenges and manage the new risks the industry faces.

NGC has a statutory duty under the Electricity Act 1989 to develop and maintain an efficient, co-ordinated and economical Transmission System for the supply of electricity. One of NGC’s statutory obligations is the requirement to maintain system frequency within the range 49.5Hz - 50.5Hz. This is achieved through the management of changing generation and/or demand. These services are automatic and can be required at any time to contain frequency deviations and recover it back to normal. To date these services have been provided by Generators, obliged to have a frequency control capability by virtue of their Grid Code connection conditions, and large industrial electricity consumers capable of interrupting firm loads for a required time. Given the limited number of production processes able to offer a firm interruptible load, NGC has been developing a frequency response service through the aggregation of fluctuating electrical loads. By combining a large number of cyclic demands, a relatively firm level of response can be derived and delivered when required.

On the Nova Scotia Power Inc. (NSPI) GIS Connectivity Project, field personnel travel on foot and by vehicle gathering data about asset locations and customer connectivity across the entire electrical distribution infrastructure. However, NSPI could not cover the company's extensive field operations. NSPI needed a secure mobile GIS solution that offered remote data transfer directly to its ARC GIS server software, without requiring additional travel and manual syncing.

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.

Chronodrive is a drive-through grocery service in France: customers shop online and drive to neighborhood pickup points where their purchases are loaded into their cars. With more than 60 grocery stores in France, two in Italy, and more on the way, Chronodrive needs up-to-the-minute knowledge of what’s selling in each store so that it can order the right inventory for the next day. To stay agile, competitive, and operationally lean in a highly competitive and fast-growing market, Chronodrive migrated its entire on-premises datacenter to the cloud in late 2014, with most workloads moving to Microsoft Azure. Azure is a public cloud environment that provides compute, storage, networking, and other services for creating and hosting applications in Microsoft datacenters.

Accurate balancing of the turbochargers used in cars and commercial vehicles is vital to ensure engine efficiency and longevity and it is carried out in both the manufacturing and remanufacturing of these units. If not measured and corrected through the balancing process, turbochargers will be noisy and in severe cases bearing failure can occur.

Grabit, a promising startup, wanted to take its revolutionary electroadhesion gripping technology to market. Flex Lab IX partnered with Grabit to perform state-of-the-art testing and make business connections that would help the company fundamentally change factory and warehouse automation. Today's factories and warehouses need automation technologies that can handle fragile electronics such as flat-screen TVs and solar panels. Grabit invented a new technology that could revolutionize factory and warehouse automation. But this groundbreaking technology had to undergo rigorous testing before it could launch.

Designed and developed an ASIC for sensing to set up straight with the contact lens. The MEMS sensor which can be digitized through ASIC is reading and transfers the assessments back to the recorder with the same RF link used to power the device using load modulation techniques. By using a 0.35µm process, Faststream could incorporate power capture and conditioning, RF signaling, high linearity ADC, and digital control functionality on a single die within the limited power budget and at a low cost.

A recent study on maturity of Asset Efficiency from Infosys and the Institute for Industrial Management (FIR) at Aachen University revealed that 85 percent of manufacturing companies globally are aware of asset efficiency, but only 15 percent have implemented it at a systematic level. Current challenges include lack of instrumentation of the assets, missing real-time data analytics, lack of context due to missing information from other systems, and lack of a holistic focus with other aspects of efficiency like energy, utilization, operations, and serviceability.GOALTo collect asset information efficiently and accurately in real-time and run analytics to make the right decisions

The client wanted to develop a product that can acquire data from their meter units installed at the consumer's premises. A system capable of acquiring, transferring and archiving the data had to be in place, replacing the existing traditional method which was error prone and expensive to operate. The system needed to be integrated with the existing Customer Relationship Management (CRM) system for increasing the operational efficiency.

The client was running a legacy material flow tracking system and wanted to replace the system with a more effective one as the system was increasingly expensive to maintain and support and also was not extendable. The client's IT landscape was filled with modern applications and it was difficult to interface the material flow tracking system with modern applications.

Algae Lab Systems contacted B-Scada when a customer of theirs was looking for a way to aggregate data from several hundred AlgaeConnect™ systems, each with several photobioreactors/ponds, in a single system. The AlgaeConnect™ system allows for monitoring and controlling of the equipment in clusters of reactors, as well as logging and graphing data, along with some other functions, but still lacked the ability to integrate the data from multiple AlgaeConnect™ deployments through a single interface with the custom graphics they desired. Therefore, the customer wanted a centralized interface through which to access their data, and they wanted it to be composed of graphics they chose.

KMC Controls sought to develop a cost-effective solution to connect buildings, make them more energy efficient and safe, and help managers and owners intelligently understand and manage their properties.

OmSense is a family of products to monitor and manage industrial sensors. Most of these sensors are found in computer centers or production environments with large energy requirements. As Kevin and John developed the product they wanted it to come preinstalled on industrial hardware, with the ability to be up-and-running within minutes of installation

Staff working in the office needs access to industrial production management in remote fieldsNeed a fast and secure network that would provide the speed and reliability to underpin their time-critical operations

The extrusion and other machines at Mondi’s plant are large and complex, measuring up to 50 meters long and 15 meters high. Each machine is controlled by up to five programmable logic controllers (PLCs), which log temperature, pressure, velocity, and other performance parameters from the machine’s sensors. Each machine records 300–400 parameter values every minute, generating 7 gigabytes of data daily.Mondi faced several challenges in using this data for predictive maintenance. First, the plant personnel had limited experience with statistical analysis and machine learning. They needed to evaluate a variety of machine learning approaches to identify which produced the most accurate results for their data. They also needed to develop an application that presented the results clearly and immediately to machine operators. Lastly, they needed to package this application for continuous use in a production environment.

The existing chiller had proved unreliable over the previous 3 years of operation with frequent refrigerant leaks resulting in ineffective air-conditioning for the building.

Isotrak knows that the demands placed on delivery fleets are constantly evolving and customers require greater insight into fleet operations so it uses business intelligence data to provide retailers and manufacturers with a total vision of their transportation ecosystem. Expanding the capabilities of its real-time ATMSi fleet management system, Isotrak provides integrated supply chain solutions that access real-time data with robust alerting and reporting capabilities.With 25% of the world’s top food retailers using Isotrak products, Isotrak required quicker access to analytics for its IoT/M2M deployments – delivered with reliable reporting methods and at a low total cost of ownership.

Europcar needed to: implement a holistic enterprise-wide decision support system: integrate data from sources across Europe, and ensure data quality and consistency.

1. AUTOSAR RTE R4.0.3 Module developmentFaststream Technologies is providing Embedded designs along with the input configurations to the Tools team for captured requirements in RTE and documenting2. AUTOSAR Stack for Battery Management for Tier-IWe are providing the onsite support for RTE Interfaces Analyzing System Extract and preparation of Software and ECU Description Faststream has worked for the RTE Interface of CDD modules Worked on Integration of Modules and Testing of Stack3. AUTOSAR COMMUNICATION(Ethernet) stack integration and testingFaststream Technologies has configured the AUTOSAR Communication stack (Com, tcpip, soad, ethif, ethsm, pdur etc.) using tool K-SAR and integrated using GHS Compiler. Faststream’s Designer has used the Lauterbach Trace32 debugger in the MPC5784g microcontroller and tested the stack using python scripts. Faststream Technologies used the configuration management tools like SVN and RTC to store the code and test reports Our Engineers have implemented the update and configuration management (UCM) in AUTOSAR adaptive platform using C++14Faststream is providing services for updating the software and its configuration running on AUTOSAR adaptive platform Faststream communicates with dependent components like (Diagnostics, state management, and execution management) using SOME/IP

Unite Students needed to find out where and when the most energy was being expended, so they could better devise strategies to reduce energy consumption. Key to this plan was a monitor that wasn’t intrusive to the business or the residents and that didn’t require releasing staff to take meter readings.

Contextual and background data is often buried and in various formats; Storage and distribution of large amounts of raw data requires considerable compute resources and infrastructure; The cost of installation and maintenance of new computers, servers, and network equipment to collect and distribute data needs to be minimized. GOAL Establish new open environments for future factory operation visualization scenarios, with data upload and simulation capability to augment physical factory equipment; Provide a cloud-based platform that can combine factory sensor and operational data to enhance the visibility and analysis of key manufacturing processes, thereby enabling improvement of operational efficiency.

The growing water shortage is regarded as the most crucial global challenge, affecting both developing and developed nations at present. Large amount of water is lost in between the point of production and receipt by end users due to leaky pipes and outdated infrastructure. This results in the loss of millions of dollars and huge wastage of such a key resource. GOAL A substantial opportunity exists to reduce the amount of water lost. As water can be lost at multiple points over a wide geographical area, Internet of Things (IoT) technology is particularly well suited to address this problem. The Smart Water Management Testbed will implement a network of real-time sensors (leakage, moisture, and water -flow detection). These will be deployed at high-risk locations across the testbed water infrastructure to reduce the amount of water being ‘lost’ by: • Rapid detection of leaks • Preemptive detection of potential leaks • Precision irrigation of watered areas