Industry 4.0 bring the concept of smart factories with the use of IOT, cloud computing and artificial intelligence. Industrial revolution started in the end of 18th century by the implementation of mechanical production machines powered by water and steam. It is considered as Industry 1.0. From there to the industry 4.0 there have been many developments, mainly the mass production lines powered by electrical energy (industry 2.0) and use of electronics and IT further progression in autonomous production (industry 3.0).
Key areas of Industry 4.0 are :
- Big Data
- Cyber Physical Systems
- Internet of Things IOT
Industry 4.0 has potential implications in Robot Assisted production, Predictive Maintenance, Additive manufacturing of complex parts, Machines as a service, Big data drive quality control, Production line simulation and Smart supply network.
Technology Shift and Industry 4.0 :
- Connected machines : Machine to Machine connectivity (M2M) reduces the manual interventions in manufacturing segment and helps to reduce production timelines. M2M system consists of sensors, ID tags, a Wi-Fi , BLE or cellular communications link, and computing engine to help interpret data and make decisions. These M2M applications translate the data, which can trigger pre-defined and automated actions. Current manufacturing industry rely on contract manufacturing and subcontracts to increase their manufacturing capability. Connected machines helps the industry to monitor real time production and efficiency.
- Machine learning : Machine learning solutions help product manufacturers for tracking, monitoring, and analyzing every step in the production cycle to find potential issues and inefficiencies before they create any adverse effect. One example is the applications of cutting edge technology for predictive maintenance and thus saving millions in spending.
- New sensor-based applications : Industry is going through a massive revolution in the area of sensors ranging from Imaging, Thermal, RADARs, flow sensors to different environmental sensors. Use of Computer Vision (CV) and 3D imaging has enabled inspection of objects based on various criteria and reference images which is very helpful for factory QA automation. Advanced sensor technologies are helping the industry with the help of wearable devices in the factories for health and hazardous condition monitoring, proximity sensors to avoid any manual errors and usage of smart PPEs, robots, even drones in the restricted areas.
- Reducing Environmental impact : Use of modern sensors is a proven method for controlling the environmental pollution caused by the industries. For example, methane which is almost impossible to detect for the human eyes. A hub of sensors connected to IoT network can be used to detect such leakage in time preventing any catastrophes.
- Customer Experience for Retail Industry : One of the new trends in retail industry is to provide best of the experience to the buyer and end-user. Bluetooth, ZigBee and other wireless technologies along with different sensors helps the user to have best of the visual, audio and gesture experience while shopping.
Avench and industry 4.0 :
Avench with our expertise in the field of embedded system design, worked with our customers for developing innovative solutions for Industry 4.0. Our partnership with leading manufacturers of communications and sensor modules help us deliver state of the art solutions in shortest possible time. Our in-house developers working on micro controller firmware & IOT protocol stack, have delivered innovative solutions for cloud connected systems with sensors, actuators and imaging capabilities.
Our track record includes delivering solutions for our customers like:
- Remote monitoring & predictive maintenance of Multi axis controllers (CNC)
- FPGA based imaging processing for Grain sorting machines
- Industrial welding machine control
- Robotic arm for Pick & place unit
- Solutions for tracking & monitoring High value assets