Accelerating the Industrial Internet of Things
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Number of Case Studies36
Asset Management helps NASCAR Drive Down Costs
Asset Management helps NASCAR Drive Down Costs
Hendrick Motorsports wanted to coordinate information across 6 warehouses, track usage of approximately 150 components on each car and get the system up and running within four months.
Grabit Case Study
Grabit Case Study
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.
Smart Meter Automation Powers Customer Service at Jersey Electricity
Smart Meter Automation Powers Customer Service at Jersey Electricity
Although Jersey is not a part of the UK Smart Meter roll out, Smart Meters are a central part of a large-scale government project to upgrade the UK’s energy system, replacing around 53 million existing gas and electricity meters by 2020, allowing consumers a more accurate view of their energy consumption. Designed to provide ‘near real-time’ information on energy use, smart meters will enable consumers to manage their energy use, allow supplier switching to take place more easily and remove the need for suppliers to read meters and provide estimated bills.As the sole supplier of electricity across the island, Jersey Electricity decided to proactively rollout smart metering ahead of the rest of the UK, aiming for installation of up to 45,000 meters for domestic and commercial customers by the end of 2018.Planned as a three-year project, Jendev, its subsidiary utility software development business, examined a variety of options to deliver key components, including the smart meters themselves and the critical data warehousing technology to gather, store and analyse the data provided by every smart meter.This data collection and analysis presented an important challenge. In every property, the smart meter needs to take a daily consumption read as well as 48 half hourly reads, 365 days a year – an eventual total at the end of the project rollout approaching 1 billion reads per year. This data is passed from each property to a data concentrator in its local substation, which are all polled daily to collate data in the central data warehouse for processing and analysis.
Number of Hardware242
RF Switch
RF Switch
RF Switch SPDT 0MHz to 1GHz 24dB 8-Pin SO T/R
RF Switch
RF Switch
RF Switch SP4T 0MHz to 2.5GHz 30dB 24-Pin VQFN EP T/R
CCFL Inverters
CCFL Inverters
CCFL Inverter Single Lamp 31KHz 5-Pin
Number of Software14
AndonSPEED
AndonSPEED
AndonSPEED: a unique system for optimising warehouse logistics processes Since 2016 AndonSPEED has been playing its part in optimising processes on manual workstations and in warehouse operations. The system is a unique and innovative intelligent monitoring and call-for-action system, unlike traditional andon light systems.AndonSPEED not only gives a clear local visual signal of a disruption or change in status on the line or workstation, but also documents and analyses down-time. The wirelessly connected system passes information to a control station display on a PC or screen and can also despatch call for action e-mails automatically to personnel required to intervene and resolve a problem.
AxSurf
AxSurf
AxSurf is Axter engineered AGV system, a smart and mobile robotic system.
Apache Spark
Apache Spark
Apache® Spark™ is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. It was originally developed at UC Berkeley in 2009.Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at massive scale, collectively processing multiple petabytes of data on clusters of over 8,000 nodes. It has quickly become the largest open source community in big data, with over 1000 contributors from 250+ organizations.
Number of Suppliers32
RoboCV
RoboCV
RoboCV X-MOTION NG is a multifunctional system designed to automate all types of floor movements for pallet goods at warehouses. The system consists of an electric pallet truck and an intelligent automation system (RoboCV AUTOPILOT) that allows it to work offline without a driver. In addition, you can implement a client-server module for the centralized control and monitoring of robotic tasks and their conditions, as well as integrate it with external IT systems. This solution enables the automation of up to 70 % of all warehouse processes avoiding, meanwhile, a complex and expensive implementation procedure and the related global changes in intralogistics processes.
WhereScape
WhereScape
The pioneer in data warehouse automation software, WhereScape empowers organizations worldwide to deliver business value from their decision support infrastructure - saving time, money and reducing risk.Working smarter and faster as new organizational demands emerge and data sources expand in scale and complexity, WhereScape RED & WhereScape 3D enable organizations to prototype, build, deploy, manage and renovate decision support infrastructure – including enterprise data warehouses, business-facing data marts, and big data solutions.Founded initially as Profit Management Systems in 1997 and renamed WhereScape in 2001, WhereScape is a privately-held, international company with global operations in the USA, UK, Singapore, India, and New Zealand.
Yuemes
Yuemes
Yuemes is a company that provides intelligent and informational products and services for the automotive industry. The company's core business is to provide information technology services for companies in the automotive industry. Yuemes has been identified as a "software company", "national high-tech enterprises", passed the CMMI3 system certification. The company's 2017 annual turnover is 70 million.
Number of Use Cases6
Warehouse Automation
Warehouse Automation
Warehouse automation is the application of specialized equipment and storage and retrieval systems to automation the performance of repetitive processes previously handled by unskilled and semi-skilled labor. A wide range of applications are possible in a warehouse, ranging from the use of robotics to unload products or crates to the automation of storage and retrieval of products on demand. Warehouse operations efficiency is central to the success of any company that processes, inventories, and ships orders. And warehouse automation is necessary to create an agile supply chain. The recent growth of the market is due to the exponential growth of the e-commerce industry, advancements in robotics, and the emergence of IoT.
Real-Time Location System (RTLS)
Real-Time Location System (RTLS)
Real-time locating systems (RTLS) are used to automatically identify and track the location of objects or people in real time, usually within a building or other contained area. Wireless RTLS tags are attached to objects or worn by people, and in most RTLS, fixed reference points receive wireless signals from tags to determine their location.RTLS is used to identify and locate objects, assets or individuals automatically in real time. The goal of RTLS is to continuously track the location of the targets. It works with the help of a tag that is attached to the target from which wireless signals are sent and received by the readers. The readers are usually fixed at predetermined positions and they transmit the location data to the software, which then interprets the exact location visually to the end user. Examples of real-time locating systems include tracking automobiles through an assembly line, locating pallets of merchandise in a warehouse, or finding medical equipment in a hospital. The physical layer of RTLS technology is usually some form of radio frequency (RF) communication, but some systems use optical (usually infrared) or acoustic (usually ultrasound) technology instead of or in addition to RF. Tags and fixed reference points can be transmitters, receivers, or both, resulting in numerous possible technology combinations. RTLS can be used numerous logistical or operational areas such as: locating and managing assets in a facility, sending location triggered alerts, maintaining proper staffing levels in operational areas.Locating concepts:RTLS are generally used in indoor and/or confined areas, such as buildings, and do not provide global coverage like GPS. RTLS tags are affixed to mobile items to be tracked or managed. RTLS reference points, which can be either transmitters or receivers, are spaced throughout a building (or similar area of interest) to provide the desired tag coverage. In most cases, the more RTLS reference points that are installed, the better the location accuracy, until the technology limitations are reached.A number of disparate system designs are all referred to as "real-time locating systems", but there are two primary system design elements:Locating at choke points:The simplest form of choke point locating is where short range ID signals from a moving tag are received by a single fixed reader in a sensory network, thus indicating the location coincidence of reader and tag. Alternately, a choke point identifier can be received by the moving tag, and then relayed, usually via a second wireless channel, to a location processor. Accuracy is usually defined by the sphere spanned with the reach of the choke point transmitter or receiver. The use of directional antennas, or technologies such as infrared or ultrasound that are blocked by room partitions, can support choke points of various geometries.Locating in relative coordinates:ID signals from a tag is received by a multiplicity of readers in a sensory network, and a position is estimated using one or more locating algorithms, such as trilateration, multilateration, or triangulation. Equivalently, ID signals from several RTLS reference points can be received by a tag, and relayed back to a location processor. Localization with multiple reference points requires that distances between reference points in the sensory network be known in order to precisely locate a tag, and the determination of distances is called ranging.Another way to calculate relative location is if mobile tags communicate directly with each other, then relay this information to a location processor.Location Accuracy:RF trilateration uses estimated ranges from multiple receivers to estimate the location of a tag. RF triangulation uses the angles at which the RF signals arrive at multiple receivers to estimate the location of a tag. Many obstructions, such as walls or furniture, can distort the estimated range and angle readings leading to varied qualities of location estimate. Estimation-based locating is often measured in accuracy for a given distance, such as 90% accurate for 10 meter range.Systems that use locating technologies that do not go through walls, such as infrared or ultrasound, tend to be more accurate in an indoor environment because only tags and receivers that have line of sight (or near line of sight) can communicate.Applications:RTLS can be used numerous logistical or operational areas such as:- locate and manage assets within a facility, such as finding a misplaced tool cart in a warehouse or medical equipment- notification of new locations, such as an alert if a tool cart improperly has left the facility- to combine identity of multiple items placed in a single location, such as on a pallet- to locate customers, for example in a restaurant, for delivery of food or service- to maintain proper staffing levels of operational areas, such as ensuring guards are in the proper locations in a correctional facility- to quickly and automatically account for all staff after or during an emergency evacuation- to automatically track and time stamp the progress of people or assets through a process, such as following a patient's - emergency room wait time, time spent in the operating room, and total time until discharge. Such a system can be used for process improvement- clinical-grade locating to support acute care capacity managementTypes of technologies used:- There is a wide variety of systems concepts and designs to provide real-time locating.- Active radio frequency identification (Active RFID)- Active radio frequency identification - infrared hybrid (Active RFID-IR)- Infrared (IR)- Optical locating- Low-frequency signpost identification- Semi-active radio frequency identification (semi-active RFID)- Passive RFID RTLS locating via Steerable Phased Array Antennae- Radio beacon,- Ultrasound Identification (US-ID)- Ultrasonic ranging (US-RTLS)- Ultra-wideband (UWB)- Wide-over-narrow band- Wireless Local Area Network (WLAN, Wi-Fi)- Bluetooth- Clustering in noisy ambience,- Bivalent systemsA general model for selection of the best solution for a locating problem has been constructed at the Radboud University of Nijmegen. Many of these references do not comply with the definitions given in international standardization with ISO/IEC 19762-5 and ISO/IEC 24730-1. However, some aspects of real-time performance are served and aspects of locating are addressed in context of absolute coordinates.Key vendors: AeroScout, Ekahau, TeleTracking Technologies
Tamper Detection
Tamper Detection
Tamper detection is the ability of a device to sense that an active attempt to compromise the device integrity or the data associated with the device is in progress; the detection of the threat may enable the device to initiate appropriate defensive actions. The tamper detection design can be implemented to sense different types, techniques, and sophistication of tampering, depending on the perceived threats and risks. The methods used for tamper detection are typically designed as a suite of sensors each specialized on a single threat type, some of which may be physical penetration, hot or cold temperature extremes, input voltage variations, input frequency variations, x-rays, and gamma rays. Examples of techniques used to detect tampering may include any or all of the following: switches to detect the opening of doors or access covers, etc. Many IoT devices use WiFi for communication and Channel State Information (CSI) based tamper detection is a valid option. Each 802.11n WiFi frame contains a preamble allows a receiver to estimate the impact of the wireless channel, the transmitter and the receiver on the signal. The estimation result - the CSI - is used by a receiver to extract the transmitted information. However, as the CSI depends on the communication environment and the transmitter hardware, it can be used as well for security purposes. It is through this channel that IoT can be utilized to prevent device tampering. The utility of this technology goes without saying; preventing the theft or damage of assets is obviously critical, and businesses should take appropriate steps to ensure that their assets remain is good condition. Benefits: -OT CAPEX Reduction -IT CAPEX Reduction -OPEX Reduction
Number of Terms5
Mechatronics
Mechatronics
A combination of the words “mechanical” and “electronics,” mechatronics brings together electrical engineering, control engineering, computer engineering, and mechanical engineering disciplines.
Data at Rest Encryptions
Data at Rest Encryptions
Data at rest is an information technology term referring to inactive data which is stored physically in any digital form (e.g. databases, data warehouses, spreadsheets, archives, tapes, off-site backups, mobile devices etc.).
Data Lake
Data Lake
Coined by Pentaho CTO James Dixon, a data lake is a massive data repository, designed to hold raw data until it’s needed and to retain data attributes so as not to preclude any future uses or analysis.
36 Case Studies
242 Hardware
14 Software
32 Suppliers
6 Use Cases
5 Terms
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