GFS Crane CIM – an Industrial IoT application – comes with advanced monitoring, analytics, controls and management capabilities for machines. Enabled with multiple protocol support to connect heterogeneous machines, devices & sensors, it provides centralized automated monitoring, control & management with multiple Industry 4.0 Outcomes.
Remote and centralized monitoring of distributed assets and machines:
- Reduces costs of deploying manpower to locally monitor machines or take periodic readings manually
- Helps prevent an outage when an out-of-range behavior is detected in a device
- Accelerates time to correct a situation when an adverse situation is detected
- Analytics of device behavior at each site helps to determine optimal level of spares at location
Sustainability, including making better use of energy use, is a key corporate concern due to both regulatory and economic reasons.
GreenField Software’s company mission from its inception has been to provide solutions for energy optimization and cost savings. This is a common thread across all its solutions.
GFS Crane DCIM provides mechanisms to lower Power Usage Effectiveness (PUE) and reduce carbon footprint of data Centers.
GFS Crane CIM, through monitoring of diesel generating sets and fuel tanks, helps an organization save thousands of liters of diesel.
GFS Crane CIM, through central monitoring of HT Panels, Transformers and LT Panels in a power utility’s substation – in conjunction with customer meter readings – helps to identify quantum and sources of transmission and commercial losses.
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GFS Crane in action?
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GFS Crane in action?
Quality management, specifically maintaining quality consistency of manufactured items to six sigma levels is a critical performance target in the industrial world. Quality management practitioners are recognizing that Industrial IoT can help them achieve the six sigma goals with unprecedented consistency. A modern manufacturing unit operates with computerized integrated manufacturing systems, which include CNC machines with digital controllers, SCADA systems and sensors. GFS Crane CIM, an Industrial IoT application takes advantage of this modern shop floor infrastructure to deliver the Quality Manager’s expectations in the following manner:
1) GFS Crane CIM captures data from computerized integrated manufacturing Systems, such as CNC machines with digital controllers, SCADA systems and robotic sensors through machine protocols: it fetches streams of machine data on quality parameters identified by customer
2) In an aluminum rolling plant for example, parameters captured from machines are rolling speed, dimensional tolerance, tensile strength, thickness, porosity, viscosity of lubricants, and more
3) Based on near real-time monitoring of these parameters from multiple machines and SCADA systems centrally across different shop floors – all at the same time- GFS Crane CIM send alerts if there’s any threshold breach (if required, at multiple levels like warning & critical) to enable the foreman at the concerned shop floor taking immediate corrective action
4) GFS Crane CIM then delivers baseline reporting of captured data with trend graphs that helps the Quality Manager get insights to areas for improvement.
IoT technology is being increasingly used in personal, community and industrial safety. Amazon Echo and Google Home can be configured to send text alerts while one is away in case of smoke alarm at home. Surveillance cameras detect traffic violations through intelligent traffic management systems. Gas sensors are deployed in mines for timely detection of toxic gases to evacuate miners before fatal exposure to them.
GFS Crane CIM, through its multiple protocol support and ability to monitor and send alerts from smoke sensors, fire alarm and suppression systems, gas sensors, water leak detection systems, can be deployed in environments like hospitals, mines and industrial units where safety of patients, miners and factory workers are of paramount importance.
Besides monitoring and sending alerts, GFS Crane CIM provides analysis of monitored data, alerts and other situational parameters. This provides insights that can help prevent adverse events in the future.
In 2012, cargo thefts in USA and Europe were reported as 946 and 689 respectively. Thefts cost shippers and insurance providers billions of dollars each year, from both impact of inventory delays as well as cost of stolen goods. Through IoT, logistics providers now not only get real-time visibility on movement of goods, but also item-wise monitoring. This ensures that each item arrives on time, at the right place, and is intact. We can relate to this when we fly across the world with multiple change-overs. The probability of a passenger’s baggage not on the designated conveyor belt at the arrival airport is reducing each year.
The widespread adoption of hand-held scanners and item-level tagging — using low-cost devices such as RFID — has paved the way for IoT-driven warehouse operations. While use of wireless readers to capture data from pallets has been around for some time and eliminated time-consuming task of manual counting and volume scanning of pallets, IoT-driven warehouse management now provides real-time visibility into inventory levels, thus preventing costly out-of-stock situations. For quality management, sensors monitor the condition of an item and alert warehouse managers when temperature or humidity thresholds are about to be breached.
Refrigerated cold chain industry has started to adopt sensor analytics to ensure complete integrity during transportation. As delivery takes place, sensors in the vehicle detects weight reduction, transmits message to temperature control system, such that cooling may be reduced based on ambient temperature and remaining distance to be covered – to improve energy efficiency without impacting food quality.
Industrial Internet has begun playing a pivotal role in logistics and food supply chains.