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IoT
sensors:
IoT sensors
consist of manual or digital sensors connected to printed circuit boards such
as Arduino Uno or Raspberry Pi 2. Printed circuit boards can be programmed to
measure a range of data collected by a sensor device such as carbon monoxide,
temperature, humidity, pressure, vibration and movement.
What
differentiates IoT sensors from simple sensors is that they can not only
collect data in different physical environments but also send data to
connected devices.
IoT sensors enable continuous control of data through automation, providing actionable insights.They can be used mostly by the companies for preemptive maintenance and reduced costs.
IoT data analysis:
Companies
are increasingly using IoT data analytics to determine trends and patterns by
analyzing large and small data. IoT analytics apps can analyze structured and unstructured data both.
IoT can be
applied to data analytics to investigate different types of data, including
motion data sets, geographic data, and health data. It can be used by companies
for predictive and descriptive analytics to improve customer knowledge, improve
operational efficiency and create business value.
IoT
monitoring and monitoring system:
Many
companies use IoT systems for asset monitoring. IoT asset tracking devices use
GPS or radio frequency (RF) to track and monitor properties. Smart devices can
be used for long-range identification and verification of assets.
Factory connected to the IoT:
Businesses
can also use IoT-connected factory solution such as Azure IoT for industrial
IoT device management. Connected cloud software can be populated with various
resources that allow for control of a range of devices.
The
connected factory solution can report key metrics data, including equipment
efficiency and telemetry data. Data can be collected of assets located in
different geographic locations. The connected factory solution can be used to
connect, monitor and control remote industrial devices.
Intelligent
supply chain management:
Supply chain
managers can make better predictions using intelligent routing and redirection
algorithms. Packet-connected smart IoT devices can provide immediate
post-incident data via GPS and RFID signals that can help make informed supply
chain decisions.
IoT
applications can help mitigate uncertainty risks in supply chain management.
Supply chain managers can use smart supply chain management programs to
minimize variance, reduce costs and improve profitability.
Programs can
help with inventory management, supplier relationships, fleet management and
scheduled maintenance.
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