Accelerating the
Industrial Internet of Things
Create New Record
    ANDOR
  • (417)
  • (168)
  • (147)
  • (111)
  • (97)
  • (63)
  • (59)
  • (57)
  • (31)
    ANDOR
  • (461)
  • (271)
  • (186)
  • (135)
  • (58)
  • (22)
  • (15)
    ANDOR
  • (357)
  • (90)
  • (60)
  • (51)
  • (50)
  • (46)
  • (39)
  • (37)
  • (35)
  • (31)
  • (22)
  • (21)
  • (20)
  • (20)
  • (18)
  • (14)
  • (14)
  • (12)
  • (11)
  • (11)
  • (10)
  • (10)
  • (9)
  • (8)
  • (8)
  • (8)
  • (7)
  • (7)
  • (6)
  • (5)
  • (5)
  • (5)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (3)
  • (3)
  • (3)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • (1)
  • View all 50 Use Cases
    ANDOR
  • (408)
  • (233)
  • (166)
  • (39)
    ANDOR
  • (776)
  • (734)
  • (513)
  • (306)
    ANDOR
  • (698)
  • (424)
  • (225)
  • (142)
    ANDOR
  • (88)
  • (82)
  • (76)
  • (63)
  • (60)
  • (47)
  • (34)
  • (26)
  • (11)
  • (11)
  • (10)
  • (10)
  • (10)
  • (9)
  • (8)
  • (7)
  • (7)
  • (6)
  • (4)
  • (3)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • View all 32 Connectivity Protocols
    ANDOR
  • (26)
  • (25)
  • (22)
  • (21)
  • (21)
  • (17)
  • (17)
  • (16)
  • (14)
  • (14)
  • (13)
  • (12)
  • (12)
  • (12)
  • (11)
  • (10)
  • (10)
  • (10)
  • (9)
  • (9)
  • (9)
  • (9)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • View all 375 Suppliers
Compare
1,142 case studies
Case Study missing? Just let us know via Add New Case Study.
DeviceLynk Delivers Customized IIoT Solution
DeviceLynk Delivers Customized IIoT Solution
DeviceLynk Delivers Customized IIoT Solution
ThingWorx
Previously to working with ThingWorx, DeviceLynk built an IIoT platform but found it lacked scalability. They needed something to capture and handle data from an unlimited amount of devices and customers.


Industries: Equipment & Machinery
Functions: Product Development
Capabilities: Asset Tracking & MonitoringOverall Equipment EffectivenessPredictive Maintenance
Software:
Services:
Refinery Saves Over $700,000 with Smart Wireless
Refinery Saves Over $700,000 with Smart Wireless
Refinery Saves Over $700,000 with Smart Wireless
Emerson
One of the largest petroleum refineries in the world is equipped to refine various types of crude oil and manufacture various grades of fuel from motor gasoline to Aviation Turbine Fuel. Due to wear and tear, eight hydrogen valves in each refinery were leaking, and each cost $1800 per ton of hydrogen vented. The plant also had leakage on nearly 30 flare control hydrocarbon valves. The refinery wanted a continuous, online monitoring system that could catch leaks early, minimize hydrogen and hydrocarbon production losses, and improve safety for maintenance.


Industries: Energy
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringEnergy Management
Hardware:
Services:
GPRS Mobile Network for Smart Metering
GPRS Mobile Network for Smart Metering
GPRS Mobile Network for Smart Metering
Vodafone
Around the world, the electricity supply industry is turning to ‘smart’ meters to lower costs, reduce emissions and improve the management of customer supplies. Smart meters collect detailed consumption information and using this feedback consumers can better understand their energy usage which in turn enables them to modify their consumption to save money and help to cut carbon emissions. A smart meter can be defined in many ways, but generally includes an element of two-way communication between the household meter and the utility provider to efficiently collect detailed energy usage data. Some implementations include consumer feedback beyond the energy bill to include online web data, SMS text messages or an information display in consumers’ premises. Providing a cost-effective, reliable communications mechanism is one of the most challenging aspects of a smart meter implementation. In New Zealand, the utilities have embraced smart metering and designed cost effective ways for it to be implemented. The New Zealand government has encouraged such a move to smart metering by ensuring the energy legislation is consistent with the delivery of benefits to the consumer while allowing innovation in this area. On the ground, AMS is a leader in the deployment of smart metering and associated services. Several of New Zealand’s energy retailers were looking for smart metering services for their residential and small business customers which will eventually account for over 500,000 meters when the multi-year national deployment program is concluded. To respond to these requirements, AMS needed to put together a solution that included data communications between each meter and the central data collection point and the solution proposed by Vodafone satisfied that requirement.


Industries: Energy
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData Acquisition & ManagementEnergy Management
Hardware:
Software:
Services:
Leading Tools Manufacturer Transforms Operations with IoT
Leading Tools Manufacturer Transforms Operations with IoT
Leading Tools Manufacturer Transforms Operations with IoT
Cisco
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.


Industries: Equipment & Machinery
Functions: Quality Assurance
Capabilities: Overall Equipment EffectivenessQuality Assurance & Control
Hardware:
Software:
Services:
Shell uses the IoT for pipeline monitoring
Shell uses the IoT for pipeline monitoring
Shell uses the IoT for pipeline monitoring
Ingenu
Oil company Shell wants to take advantage of an internet of things (IoT) connectivity solution to improve the company’s monitoring capabilities for its operations in Nigeria. 


Industries: Energy
Functions: Maintenance
KSP Steel Decentralized Control Room
KSP Steel Decentralized Control Room
KSP Steel Decentralized Control Room
DAQRI
While on-site in Pavlodar, Kazakhstan, the DAQRI team of Business Development and Solutions Architecture personnel worked closely with KSP Steel’s production leadership to understand the steel production process, operational challenges, and worker pain points.


Industries: Mining
Functions: Maintenance
Capabilities: Data Acquisition & ManagementData VisualizationOverall Equipment Effectiveness
Hardware:
Software:
Services:
Smart Street Light Network (Copenhagen)
Smart Street Light Network (Copenhagen)
Smart Street Light Network (Copenhagen)
Silver Spring Networks
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.


Industries: Construction & Buildings
Functions: Maintenance
Capabilities: Energy ManagementEnvironmental MonitoringRemote Access & Control
Hardware:
Software:
Services:
OneWireless Enabled Performance Guarantee Test
OneWireless Enabled Performance Guarantee Test
OneWireless Enabled Performance Guarantee Test
Honeywell
Tata Power's power generation equipment OEMs (M/s BHEL) is required to provide all of the instrumentation and measurement devices for conducting performance guarantee and performance evaluation tests. M/s BHEL faced a number of specific challenges in conducting PG tests: employing high-accuracy digital communications for instrumentation, shortening setup and dismantling time, reducing hardware required, making portable instrument setup, avoiding temporary cabling work and the material waste costs


Industries: Energy
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringOverall Equipment EffectivenessQuality Assurance & Control
Hardware:
Software:
Services:
Honeywell - Tata Chemicals Improves Data Accessibility with OneWireless
Honeywell - Tata Chemicals Improves Data Accessibility with OneWireless
Honeywell - Tata Chemicals Improves Data Accessibility with OneWireless
Honeywell
Tata was facing data accessibility challenges in the cement plant control room tapping signals from remote process control areas and other distant locations, including the gas scrubber. Tata needed a wireless solution to extend its control network securely to remote locations that would also provide seamless communication with existing control applications.


Industries: Chemicals
Functions: Maintenance
Capabilities: Data Acquisition & ManagementData VisualizationOverall Equipment Effectiveness
Hardware:
Software:
Services:
Aircraft Predictive Maintenance and Workflow Optimization
Aircraft Predictive Maintenance and Workflow Optimization
Aircraft Predictive Maintenance and Workflow Optimization
SparkCognition
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.


Industries: Transportation
Functions: Maintenance
Capabilities: Overall Equipment EffectivenessPredictive Maintenance
Software:
Transformation for IoT Business Model in Connected Industrial Vehicles
Transformation for IoT Business Model in Connected Industrial Vehicles
Transformation for IoT Business Model in Connected Industrial Vehicles
PTC
CNH Industrial wanted to put IoT-enabled viechles onto the market. Whether monitoring a single machine or integrating an entire fleet, operators are able to track the status, speed, and movement of machines and their performance and also receive alerts on issues that may require service by a qualified technician to improve uptime and overall effectiveness of the vehicle.


Industries: Heavy Vehicle
Functions: Logistics & Warehousing
Capabilities: Data Acquisition & ManagementOverall Equipment EffectivenessPredictive Maintenance
Hardware:
Software:
Services:
IoT based milk procurement solution- SmartMoo smartAMCU
IoT based milk procurement solution- SmartMoo smartAMCU
IoT based milk procurement solution- SmartMoo smartAMCU
Stellapps Technologies
The customer wanted to effectively monitor all their milk procurement centers placed in remote villages, to automate the centers for capturing the milk data in near real time and to enable direct farmer payments.


Industries: Equipment & Machinery
Functions: Quality Assurance
Capabilities: Data Acquisition & ManagementQuality Assurance & ControlRemote Access & Control
E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
General Electric (GE)
E.ON's plants ran 4000+ hours per year, now see fewer than 1000+ hours of profitable operation. E.ON needed a fast, reliable and low-cost cycle plants.


Industries: Energy
Functions: Maintenance
Capabilities: Overall Equipment Effectiveness
Software:
Services:
Fully Automated Visual Inspection System
Fully Automated Visual Inspection System
Fully Automated Visual Inspection System
Beckhoff
Tofflon has developed a fully automatic machine that uses light to inspect vials, medicine bottles, or infusion containers for glass fragments, aluminum particles, rubber grains, hairs, fibers, or other contaminants. It also detects damaged containers with cracks or inclusions (microscopic imperfections), automatically removing faulty or contaminated products. In order to cover all production processes for freeze-dried pharmaceuticals, Tofflon needed to create an open, consistent, and module-based automation concept.


Industries: Chemicals
Functions: Quality Assurance
Capabilities: Overall Equipment EffectivenessQuality Assurance & Control
Hardware:
Software:
Services:
Cutting-edge Predictive Analytics for HIROTEC Group
Cutting-edge Predictive Analytics for HIROTEC Group
Cutting-edge Predictive Analytics for HIROTEC Group
ThingWorx
Hirotec needed to ensure continuous operations and to minimize unplanned downtime in its manufacturing facilities. Unplanned downtime is costly and compromises Hirotec's ability to deliver its goods to customers on time.


Industries: Automotive
Functions: Maintenance
Capabilities: Data Acquisition & ManagementPredictive MaintenanceRemote Access & Control
Hardware:
Software:
Services:
Remote Wellhead Monitoring
Remote Wellhead Monitoring
Remote Wellhead Monitoring
MOXA
Each wellhead was equipped with various sensors and meters that needed to be monitored and controlled from a central HMI, often miles away from the assets in the field. Redundant solar and wind generators were installed at each wellhead to support the electrical needs of the pumpstations, temperature meters, cameras, and cellular modules. In addition to asset management and remote control capabilities, data logging for remote surveillance and alarm notifications was a key demand from the customer. Terra Ferma’s solution needed to be power efficient, reliable, and capable of supporting high-bandwidth data-feeds. They needed a multi-link cellular connection to a central server that sustained reliable and redundant monitoring and control of flow meters, temperature sensors, power supply, and event-logging; including video and image files. This open-standard network needed to interface with the existing SCADA and proprietary network management software.


Industries: Construction & Buildings
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData Acquisition & ManagementRemote Access & Control
Hardware:
Services:
Predictive Maintenance for Industrial Chillers
Predictive Maintenance for Industrial Chillers
Predictive Maintenance for Industrial Chillers
SmartLog
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.


Industries: Equipment & Machinery
Functions: Maintenance
Capabilities: Facility Climate ControlPredictive MaintenanceRemote Access & Control
Software:
Services:
Rolls Out Second-Gen Automotive Switch with BroadR-Reach
Rolls Out Second-Gen Automotive Switch with BroadR-Reach
Rolls Out Second-Gen Automotive Switch with BroadR-Reach
Broadcom
Carmakers are facing the next wave of automotive connectivity. Cars will extend their reach, tapping our homes, talking to nearby cars and connecting to myriad other devices. New challenge is to meet bandwidth demands.


Industries: Automotive
Functions: Product Development
Capabilities: Asset Tracking & MonitoringData Acquisition & Management
Hardware:
Software:
Digitize Railway with Deutsche Bahn
Digitize Railway with Deutsche Bahn
Digitize Railway with Deutsche Bahn
KONUX
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.


Industries: Transportation
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringPredictive MaintenanceRemote Access & Control
Hardware:
Software:
Services:
PC Control Combines PLC with CNC
PC Control Combines PLC with CNC
PC Control Combines PLC with CNC
Beckhoff
Kraft Maschinenbau produces highly customized doors, requiring very flexible, mixed production of a large variety of components and products, down to batch size 1. This includes variations in frame size, materials, décors, seal types, and fittings.


Industries: Construction & Buildings
Functions: Discrete Manufacturing
Capabilities: Overall Equipment Effectiveness
Hardware:
Software:
Services:
Predictive Maintenance Drives Smarter Fleet Management
Predictive Maintenance Drives Smarter Fleet Management
Predictive Maintenance Drives Smarter Fleet Management
Intel
Fleet managers are turning to predictive analytics to stay on top of maintenance and mitigate part failures before they happen. However, managing the large amount of new data generated by vehicle sensors is challenging.


Industries: Heavy Vehicle
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData VisualizationOverall Equipment Effectiveness
Hardware:
Software:
Services:
IoT Transforming Agribusiness
IoT Transforming Agribusiness
IoT Transforming Agribusiness
SAP
In order to achieve its goal of increasing agricultural yield in Brazil, Stara had the following objectives: • Establish technically robust operations for SAP® SuccessFactors® solutions • Increase technical stability • Improve performance and business throughput • Introduce efficient maintenance of software after the going-live event


Industries: Mining
Functions: Maintenance
Capabilities: Quality Assurance & Control
Software:
Services:
Integral Plant Maintenance
Integral Plant Maintenance
Integral Plant Maintenance
Siemens
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).


Industries: Automotive
Functions: Discrete Manufacturing
Capabilities: Asset Tracking & MonitoringOverall Equipment EffectivenessPredictive Maintenance
Hardware:
Software:
Services:
Asset Management and Predictive Maintenance
Asset Management and Predictive Maintenance
Asset Management and Predictive Maintenance
Litmus Automation
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.


Industries: Equipment & Machinery
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData Acquisition & ManagementPredictive Maintenance
Software:
Services:
RobotStudio Case Study: Benteler Automobiltechnik
RobotStudio Case Study: Benteler Automobiltechnik
RobotStudio Case Study: Benteler Automobiltechnik
ABB
Benteler has a small pipe business area for which they produce fuel lines and coolant lines made of aluminum for Porsche and other car manufacturers. One of the problems in production was that when Benteler added new products, production had too much downtime.


Industries: Automotive
Functions: Maintenance
Capabilities: Data Acquisition & ManagementData VisualizationPredictive Maintenance
Hardware:
Software:
Services:
IoT System for Tunnel Construction
IoT System for Tunnel Construction
IoT System for Tunnel Construction
National Instruments
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.


Industries: Construction & Buildings
Functions: Quality Assurance
Capabilities: Asset Tracking & MonitoringEnvironmental Health & SafetyEnvironmental Monitoring
Hardware:
Software:
Services:
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Improving Production Line Efficiency with Ethernet Micro RTU Controller
MOXA
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations


Industries: Equipment & Machinery
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData Acquisition & ManagementOverall Equipment Effectiveness
Hardware:
Software:
Services:
IoT-based Fleet Intelligence Innovation
IoT-based Fleet Intelligence Innovation
IoT-based Fleet Intelligence Innovation
Tata Communications
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.


Industries: Equipment & Machinery
Functions: Logistics & Warehousing
Hardware:
Software:
Services:
Asset Management helps NASCAR Drive Down Costs
Asset Management helps NASCAR Drive Down Costs
Asset Management helps NASCAR Drive Down Costs
Schneider Electric
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.


Industries: Automotive
Functions: Quality Assurance
Capabilities: Data Acquisition & ManagementInventory Management
Hardware:
Software:
Services:
Industry 4.0 and Smart Manufacturing
Industry 4.0 and Smart Manufacturing
Industry 4.0 and Smart Manufacturing
Bright Wolf
A potent innovator of filtration technology, the company had little experience with information technology, and no in-house expertise for bringing digital products to market. The company needed an information technology partner with deployment experience spanning industrial hardware, protocols, and the cloud to assist in their journey to becoming a connected products solution provider.


Industries: Construction & Buildings
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringOverall Equipment EffectivenessPredictive Maintenance
Hardware:
Software:
Services: