IoT
absolute Off-Shaft Angle of a motor. For instance, the Analog
Devices ADA4571 Integrated Anisotropic Magnetoresistive
(AMR) Angle Magnetic Sensors & Signal Conditioner provides
precise motor shaft angle measurement and can replace high-
cost resolvers and optical encoder sensors. These sensors
help lower system cost, size, and weight while improving
measurement robustness.
Most times a mercury thermometer is not going to cut it. The
extreme accuracy (0.1°C) of the Analog Devices Inc. LTC298x
Digital Temperature Measurement Systems allows for precise
temperature measurements in noisy environments.
An analog signal provided by a sensor must be converted
into a digital signal. An analog-to-digital converter (ADC) is
a system that converts this. Its complement is the digital-to-
analog converter (DAC), which does the reverse function. ADI
is the leading provider ADCs and DACs in the world. ADCs and
DACs help the process of converting sensed information into
quantitative measured information. For example, the Analog
Devices AD7124 Analog Front End (AFE) Portfolio features low
power, low noise, completely integrated AFEs for high precision
measurement applications. The devices contain a low noise,
24-bit sigma-delta (e-Δ) analog-to-digital converter (ADC). An
on-chip low gain stage ensures that signals of small amplitude
can be interfaced directly to the ADC. It takes what has been
sensed and handles it as quantified information.
Sensors are the electronic components used to measure
physical phenomenon. By taking analog data from the external
world of things it provides a measurement. This measurement
is placed from the external world into the digital domain where
it can be handled and manipulated further in order to come to
a proper interpretation of what the data means. Sensing and
measuring are the beginning steps in IoT.
Interpreting
Interpretation is the art of properly receiving communication
and processing it in the manner it was intended for by the
communicator. Proper principles of interpretation allow all
forms of communication, whether verbal or nonverbal, to be
articulated, explained, explicated, or expounded, allowing
meaning to be conveyed and understood. The circumstances
surrounding the specific grammar, syntax, and discourse
employed are called the context. It provides the external
and internal environment into which the information is being
processed. ADI enables interpretation to happen by bridging the
physical and digital with unmatched technologies that sense,
measure, and connect.
One example of interpretation is an adaptive contactless
condition monitoring solution that employs artificial intelligence
(AI) to interpret and respond properly to sound and vibration that
is sensed and recognized. OtoSense is a software technology
platform that turns any machine sounds and vibrations into
actionable meaning at the edge. OtoSense does so in real-time.
Machine learning (ML), a subset of AI techniques, uses
algorithms to extract information from raw data and represent
it in a model. The machines learn over time through feedback
received through gaining knowledge by studying and
experiencing the results of its actions and their associated
consequence. Machine learning then adjusts its own internal
algorithms in order to acquire fresh and better structural
descriptions from the provided feedback. This ML engine may
be optimized to detect different machine sounds and vibration
profiles. An end-to-end solution, meaning from sensor-to-cloud,
may be used for a variety of industrial applications. These
include predictive machine health maintenance applications
such as heating, ventilation, and air conditioning (HVAC), jet
8
ADXL100x MEMS Accelerometers ADuCM4050 ULP Microcontroller
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4
• 52MHz ARM
®
CORTEX™-M4F with FPU and
MPU
• Collection of digital peripherals, embedded
static random access memory (SRAM) and
embedded flash memory
• Offers class leading, ultra low
power active and hibernate
modes
• Single in plane axis accelerometer with
analog output
• Full-scale ranges of ±100g (ADXL1001), ±50g
(ADXL1002), ±200g (ADXL1003),
and ±500g (ADXL1004)
• Ultra-low noise densities from
25μg/√Hz to 125μg/√Hz, over
an extended frequency range
IoT
