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60 case studies
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A Cloud-based Machine Performance Assistant
A Cloud-based Machine Performance Assistant
Printing International is building pad printing machinery to print on all kinds of plastics, glass, ceramics, porcelain, on caps and closures, medical devices and pharmaceuticals. 4 Key Project Requirements: • Transparency on machine performance • Worldwide service network • Remote support, contractual availability • IT security
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Integration of PLC with IoT for Bosch Rexroth
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
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Refinery Saves Over $700,000 with Smart Wireless
Refinery Saves Over $700,000 with Smart Wireless
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.
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Service Transformation: Evolving Service Business in the IoT Era
Service Transformation: Evolving Service Business in the IoT Era
Manufacturers need to create new revenue streams while competing more effectively in the global market that seems fixated on lowest-cost production. Service revenue is becoming increasingly important to manufacturers to maintain profitability -- manufacturers want to capture upward of 30% of revenue from services, and 74% of manufacturing executive identified service as a significant driver of future revenues.
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Thingworx Helps EET Monitor Real-Time Energy Savings
Thingworx Helps EET Monitor Real-Time Energy Savings
Embedded Energy Technology (EET) wanted to build a dashboard for their customers to visualize the data analytics for the stream systems. They wanted the readings collected from the sensors to provide a complete picture of what is happening inside the component, and are displayed in a Web Portal that analyzes and presents the data in a concise format. The dashboard interface will also let customers set up email and text message alerts to be triggered when temperatures of the sensors customer select fall outside of the range they set. Summary reports are emailed monthly that highlight total energy savings, component health and month-over-month / year-over-year comparisons.
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Wireless Improves Efficiency in Compressed Air Systems
Wireless Improves Efficiency in Compressed Air Systems
Hollingsworth and Vose wanted to improve the efficiency of their compressed air system, lower the electricity expense component of manufacturing cost in their commodity industry, and conserve energy leading to lowered greenhouse gas emissions. Compressed air systems degrade over time and become leaky and inefficient. Hollingsworth and Vose wanted to increase the frequency of system inspections without paying the high cost of manual labor.
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Continuous Casting Machines in a Steel Factory
Continuous Casting Machines in a Steel Factory
With a very broad range of applications, steel is an important material and has been developed into the most extensive alloy in the engineering world. Since delivering high quality is absolutely crucial for steel plants, ensuring maximum productivity and the best quality production are the keys to competitiveness in the steel industry. Additionally, working conditions in steel factories are not suitable for workers to stay in for long periods of time, so manufactures usually adopt various machines to complete the steel production processes. However, the precision of these machines is often overestimated and the lack of flexibility also makes supervisors unable to adjust operating procedures. A renowned steel factory in Asia planned to improve its Distributed Control System (DCS) of furnaces as well as addressing the problem of insufficient accuracy. However, most well-known international equipment suppliers can not provide a satisfactory solution and local maintenance because the project needed new technologies to more accurately control equipment operations. By implementing Advantech’s automated monitoring and control solution, steel factories can not only improve the manufacturing processes but can also allow users to add additional functions to the existing system so as to make sure the operation runs at high efficiency.
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Remote Monitoring and Control for a Windmill Generator
Remote Monitoring and Control for a Windmill Generator
As concerns over global warming continue to grow, green technologies are becoming increasingly popular. Wind turbine companies provide an excellent alternative to burning fossil fuels by harnessing kinetic energy from the wind and converting it into electricity. A typical wind farm may include over 80 wind turbines so efficient and reliable networks to manage and control these installations are imperative. Each wind turbine includes a generator and a variety of serial components such as a water cooler, high voltage transformer, ultrasonic wind sensors, yaw gear, blade bearing, pitch cylinder, and hub controller. All of these components are controlled by a PLC and communicate with the ground host. Due to the total integration of these devices into an Ethernet network, one of our customers in the wind turbine industry needed a serial-to-Ethernet solution that can operate reliably for years without interruption.
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Coca-Cola Refreshments, U.S.
Coca-Cola Refreshments, U.S.
Coca-Cola Refreshments owns and manages Coca-Cola branded refrigerators in retail establishments. Legacy systems were used to locate equipment information by logging onto multiple servers which took up to 8 hours to update information on 30-40 units. The company had no overall visibility into equipment status or maintenance history.
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Oseco Case Study - Delivering Condition Monitoring with Seebo
Oseco Case Study - Delivering Condition Monitoring with Seebo
Oseco were completely new to Industry 4.0, Oseco needed to find a lean and quick method for successfully implementing condition monitoring.
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Versiondog Comes for Coffee
Versiondog Comes for Coffee
“Well before it went live, we had worked out a clear plan for exactly how we were going to use the new versiondog versioning and data management software from AUVESY,” says Michael Mrugalla, who works in process automation at the Mainz plant. “We also had to think about what backups really meant for us. With all our field devices, control programs, drive systems, programming languages, file formats and software applications, we needed to know precisely what we have to back up in case a breakdown (e.g. a power outage) stops production. Because the whole point of making a backup is to be able to recover data quickly and easily when something goes wrong and continue working as if nothing had happened. But that means more than simply restarting production, it also means we need to be able to pick up where we left off with our ongoing process maintenance and optimisation.” It was particularly important to Nestlé that their backup strategy be built around a sin-gle continually active and universally appli-cable solution. And they wanted it to maintain a centralised backup of all the data necessary for both recovery and further development for all devices and all related projects (i.e. every piece of hardware and software). And the programs actually running on controllers need to correspond precisely with the data on the server. If not, the reason must be easily identifiable and the valid version always available to be reloaded onto the device.
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PREDICTIVE MAINTENANCE
PREDICTIVE MAINTENANCE
Manufacturers rightly focus on improving profit margins and growing revenue. Attracting new customers, selling more products and lean practices can help. However, as equipment sophistication increases, so does the ability to monitor equipment. Manufacturers can now develop revenue from maintenance services. Preventive maintenance has its advantages but to really drive uptime and maintain service levels, predictive maintenance is needed. Seamless IoT and machine sensor data integration is critical as well as a low-latency messaging backbone for scalable, fast and reliable transport. Delivering potentially large quantities of data at sub-second speeds is key to downstream activities. webMethods Integration, featuring Universal Messaging, addresses this need with an enterprise-grade service bus for connectivity, messaging, transformation and security of machine data for advanced real-time analytics.
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Monitoring of Pressure Pumps in Automotive Industry
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.
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Condition Monitoring and Diagnostics System for China Steel
Condition Monitoring and Diagnostics System for China Steel
China Steel Corporation (CSC) is the largest integrated steel maker in Taiwan. Our goal is to enhance facility maintenance and management efficiency. First and foremost, to achieve this goal we know we need to understand the tradeoffs between the set-up costs of machine condition monitoring (MCM) devices and the losses we experience due to unexpected faults. We also need to consider the critical pieces of equipment we own and the degree of difficulty involved in maintaining them. Effective MCM can help maintenance managers understand the condition of critical equipment in real time, which is a competitive advantage for steel manufacturers.Our first self-developed facility online monitoring and diagnosis system (FOMOS) was installed on the CSC production line in 1998. The system performed well for monitoring certain issues such as mill vibrations, but after a few years the system became less reliable. We found that the hardware and software had limited functionality. We knew we could build a smarter, more connected system that could use the latest advances in processing power, wireless networks, and software connectivity. We realized that it was fairly easy to develop an MCM system, but it was difficult to address specific challenges we faced.Our biggest challenge to address was how to detect equipment abnormalities at an early stage without creating a large number of false alarms. Since vibration is a relative condition indicator and strongly affected by system or structural dynamic rigidity and transmissibility, in real situations, it is common to find that two pieces of the same equipment at similar locations and operating conditions exhibit different vibration levels after several years of operation. Vibration signals can be a key indicator for information such as wear, imbalance, misalignment, impact load, and bearing fault by using different signal processing and algorithms.A conventional monitoring and diagnosis system uses the same or very few indicators and criteria to monitor and diagnose various machine conditions regardless of the nature of the operation of the machine. Therefore, these systems are prone to false alarms or missing alarms. To make it worse, with diverse monitored equipment, a complicated operation regime, and widespread applications in numerous process lines in an integrated steel factory, it is impractical to achieve our goals with only a few diagnosis experts. Thus, we discovered the best way to improve the effectiveness and efficiency of our MCM system was to introduce some artificial intelligence methods.
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American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.
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IIC Condition Monitoring & Predictive Maintenance Testbed
IIC Condition Monitoring & Predictive Maintenance Testbed
The current state of condition monitoring requires manual measurements that are compounded with aging equipment and the retirement of knowledgeable personnel.
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Machine Condition Monitoring for a Distribution Center
Machine Condition Monitoring for a Distribution Center
A distribution center used a conveyor belt systems to transport a wide variety of products to appropriate locations. When all went well, products were delivered, stored and shipped back out with a minimum of trouble. But a breakdown in any of the motors running the conveyor belts could interfere with operations and cause unacceptable shipping delays. The distribution center decided to use remote monitoring and decision analytics to predict where and when, preventative maintenance could keep small problems from ballooning into major disruptions.
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Controlling and Monitoring Tobacco Plants in China
Controlling and Monitoring Tobacco Plants in China
Without the aid of computers, calculating production volume in a tobacco plant is troublesome and error-prone. PC-based monitoring systems that automatically collect production data and keep records can greatly improve in-factory logistics management and machinery maintenance. Combined with the use of networking communications, a Manufacture Executive System (MES) can be developed to improve the overall management of the factory. Our customer is a branded tobacco producer in China. When they came to Advantech, their production lines were already automated with the deployment of Programmable Logic Controllers (PLCs). However, they were still dependent on manual labor to count the amount of cigarettes and other materials, and their engineers had to manually check and record the data-logs stored in the PLCs to produce analyses for repair and maintenance purposes. But with Advantech’s PC-based monitoring machines, installed next to manufacturing machines, related data is shown on touch screens and transmitted to the control center, helping to reduce errors and improve management efficiency.
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Remote Monitoring
Remote Monitoring
Kaunas Energija's Heat and Power Plants were distributed across the country, including in places lacking an internet connection. This made supervision and maintenance difficult and expensive.
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Refinery Wirelessly Monitors Junction Box Pressure
Refinery Wirelessly Monitors Junction Box Pressure
The refining company needed to continuously monitor the pressure in Z-Purge junction boxes around the refinery. These junction boxes were maintained at a low positive pressure to prevent process gasses from entering the junction boxes. These junction boxes are widely distributed throughout the plant. Previously these junction boxes were manually monitored by operators on periodic rounds in the refinery.
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Electric/Hybrid Vehicle Propulsion System
Electric/Hybrid Vehicle Propulsion System
Tecnalia is experienced in the automotive sector and in the development of controllers embedded in powertrain ECUs. Implementing three models that emulate the unavailable functioning and communications electronic control units (ECUs) for an electric/hybrid vehicle propulsion system.
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Monitoring and Controlling Automatic Mixing and Dispensing Machines
Monitoring and Controlling Automatic Mixing and Dispensing Machines
As technology advances, textile manufacturing has been transformed from a labor-intensive to a partially or fully automated industry. Automation is significant in all segments of textile production - from spinning to printing, and textile machinery manufacturers are constantly searching for new technologies and automation processes will increase the productivity of their machines. The color paste mixing and dispensing machine is an essential part of the printing and dyeing process. With the advantage of automatically computerized controls and database management, the system can significantly improve its dispensing precision, working efficiency and production quality as well as reducing material consumption.
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Cluster Pumping Station Automation of Oil and Gas Reservoir Pressure Maintenance
Cluster Pumping Station Automation of Oil and Gas Reservoir Pressure Maintenance
To develop a reservoir pressure maintenance automation system to remotely control, monitor, and protect devices in pumping station.
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Wireless Vibratory Data Acquisition System for Maintenance
Wireless Vibratory Data Acquisition System for Maintenance
In the framework of its predictive maintenance offering, ONEPROD part of the ACOEM group provides monitoring solutions that allow to avoid unexpected breakdowns in industrial production tools. Traditionally ONEPROD was using wired data acquisition systems. However they were costly and hard to install in harsh environments or explosive zones, like in the oil & gas and mining industry. To cover the distance to connect and power the monitoring equipment considerable lengths of cable are required especially in industrial spaces with difficult access. Developing a wireless data acquisition system became a key success factor in the ONEPROD strategy in order to avoid any cabling issue and to improve the safety of the staff in charge of portable measures.
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Data Capture for Afghanistan Forces
Data Capture for Afghanistan Forces
Electronic equipments on the field of Afghanistan provided information on the status of the vehicle and to identify potential threats surrounding it to the British Force. The monitoring and interpretation of this data requires robust and sophisticated digitization for data capture and communication.
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Hybrid Energy Solutions
Hybrid Energy Solutions
HMS
As a power supplier, Enerwhere needed to make sure that their equipment is operational 24/7 and that power can be supplied at all times. Enerwhere needed to know how to do continual maintenance and know how much power is consumed by each customer.
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MachineMetrics helped Carolina Precision saved over $1.5M on machine monitoring
MachineMetrics helped Carolina Precision saved over $1.5M on machine monitoring
Gary Bruner, the president of Carolina Precision Manufacturing, a contract manufacturer that specializes in small-diameter, close-tolerance CNC Swiss turned parts, had a problem. Over breakfast that morning, Gary had logged onto the MachineMetrics monitoring system on his laptop at home to check the status of his machines assigned to a lights-out operation, but saw immediately that two of his machines were not in production. “What’s wrong with machines 35 and 36?” he thought to himself. Upon arrival to the shop, Gary learned from his operator on duty that this type of hold up was nothing out of the ordinary, and was in fact a product of inefficient startup procedures that had simply never been analyzed or augmented previously. In an industry with razor thin margins, Gary understood that the keys to growth and success were in efficiency and quality. He understood the importance of keeping tabs on production stats, job status, uptime, and setup. However, there was no way to know how well machines were doing in real time. What was causing this additional downtime? Furthermore, CPM’s current methods of measurement and data collection were not only time consuming, but had quickly becoming outdated. Historically, CPM had an employee dedicated to the collection of utilization data. This employee would walk around to each of the machines, collect scrap tickets post-production, talk to operators, and record yesterday’s data into their current ERP system; not to mention that this manual data collection was prone to errors, and would take upwards of 2 hours per day. Without the ability to visualize their results, the recorded data was not very actionable.
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Using Data to Make Operators and Maintenance Staff Efficient
Using Data to Make Operators and Maintenance Staff Efficient
Some of Elipse's customers have very large plants, and when the technicians are out in the plant, they cannot see the status of plant instrumentation. When doing calibrations or inspections, they have to radio back to the control room, which slows the work and can extend downtime.
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Monitoring Industrial Power Distribution
Monitoring Industrial Power Distribution
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
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National Grid Company
National Grid Company
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.
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