iCOMOX: Condition Based Monitoring Development Platform
Open Embedded Sensor-to-Cloud Building Blocks for Prototyping and Quick Deployment
Multi-sensing condition monitoring solution:
Vibration, magnetic eld, temperature, and sound sensors
Target Applications
>Manufacturing facilities:
Motors, pumps, gearboxes, etc.
>Construction facilities: Drills,
motors, heavy equipment
>Buildings: Elevators, moving
walkways, escalators,
refrigeration, HVAC systems
>Healthcare: Large medical
equipment with motors
>Oil & gas: Pumps, drills
>Transportation: Fleet
management
>Structures: Bridges, towers,
pipelines
arrow.com
Unplanned equipment downtime causes signicant disruption to operations and productivity which directly impacts a company’s bottom
line. This problem is further compounded with legacy equipment that is prone to frequent failures. Current inspection methods mainly
involve maintenance personnel physically checking equipment on a periodic basis. This approach is resource intensive and cannot be
scaled easily. Further, complexity and cost of repairs increases after equipment failures occur, compared to preventive measures.
iCOMOX (Intelligent Condition Monitoring Box) – is a portfolio of sensor and backhaul devices that combined with software and cloud
capabilities create a development platform for Condition Based Monitoring (CBM) of industrial equipment, assets, and structures.
iCOMOX monitors operating conditions from the surface of the equipment to identify potential faults and reduce risks associated with
equipment operation and maintenance. This extends the lifetime of the equipment, reduces unplanned downtime, cuts maintenance
costs, and unlocks potential for energy savings.
Newly released versions
oer three options for
backhaul connectivity —
NB-IoT, Power over Ethernet
(PoE) or SmartMesh IP™
Benets of the iCOMOX Platform
>Serves multiple use cases – As a rapid prototyping and development platform for
Original Equipment Manufacturers (OEMs) or as a starting point for end-users looking
to deploy iCOMOX in their applications
>Seamless out-of-the-box experience – Demos, software and application support for
testing functionality. CE and FCC certied
>Reliable and accommodates a wide range of monitored equipment – Small
form-factor and options for mounting adapters
>Quick customization services – Add new functionality, lower BOM cost, or have the
complete product designed
iCOMOX: Condition Based Monitoring Development platform
iCOMOX Block Diagram
Hardware Features
>Multi-sensing: Vibration, magnetic eld,
temperature, and sound sensors
>Three options for backhaul
communication - cellular (NB-IoT), Power
over Ethernet (PoE) or the highly reliable
SmartMesh IP™ protocol
>Compact form-factor and various
mounting adapters to accommodate a
wide range of monitored equipment
>CE and FCC certied with an IP66
enclosure
Software Features
>Embedded intelligence for early
detection of machine failures
>Ability to congure warning and alarm
levels and timestamp events for each
sensor
>Seamless integration into existing
systems and to the portal
>AI enables predictive and smart preven-
tive maintenance
Portal Features
>Centralized management of all assets
and related maintenance processes
>Real-time reporting and dashboards for
visualization
>User-friendly interface that can be
accessed from anywhere, via a computer
or a mobile device
Key Components
>Analog Devices ADuCM4050: Ultra-low
power Arm® Cortex®- M4F MCU with
integrated power management
>Analog Devices ADXL356: 3-axis
accelerometer serves as a vibration
sensor
>Analog Devices ADXL362: Ultra-low
power, low-g accelerometer
>Analog Devices ADXL1002: Low
noise, high frequency +/-50g MEMS
accelerometer
>Analog Devices ADT7410: Temperature
sensor with ±0.5 °C accurate with 16-bit
resolution
>Analog Devices LTC5800-IPM:
SmartMesh IP™ 2.4 GHz, 802.15.4e SoC
as either a wireless mote, e-manager, or
access point mote in a SmartMesh IP™
network
>Analog Devices LTC4267IDHC: Power
over Ethernet IEEE 802.3af PD interface
with integrated switching regulator
>Inneon SLS32AIA020: OPTIGA™ TRUST
X turn key high-end cryptography and
security controller
>Microchip KSZ8851SNLI: Single-Port
Ethernet MAC controller with 8/16-bit
or 32-bit non-PCI interface
>Quectel BG96: LTE Cat M1/NB1/EGPRS
Module with maximum data rates of
375Kbps downlink and uplink
Ultra-Low Power
Accelerometer (Analog
Devices ADXL362) EEPROM* & Micro SD
Batteries (2x CR2477)
*Only with NB-IoT and PoE versions.** Available in the PoE option
Temperature Sensor
(Analog Devices ADT7410)
Connectivity
RJ45 (TE 1888250-1)
ETH PHY
Microchip
KSZ8851SNLI
PoE
PoE Controller
Analog Devices
LTC4267IDHC
SmartMesh IP
™
Analog Devices
LTC5800-IPM
NB-IoT
Quectel
BG96
Secure Element*
(Inneon SLS32AIA020)
Low Noise, MEMS
Accelerometer (Analog Devices
ADXL1002)**
USB
Microcontroller
Analog Devices
ADuCM4050
(Ultra-Low
Power Arm®
Cortex®-M4F
MCU with
Integrated
Power
Management)
MEMS Microphone
(Inneon IM69D130)
3-Axis Magnetic Sensor
(Bosch BMM150)
3-Axis Accelerometer
(Analog Devices ADXL356)
©2021 Arrow Electronics, Inc. Arrow and the Arrow logo
are registered trademarks of Arrow Electronics, Inc. All
other product names and logos are trademarks of their
respective manufacturers
01_19/2021
iCOMOX: Condition Based Monitoring Development platform
Part # Description
SRT-ICOMOX-POE-SEC Monitoring module with Power over Ethernet wired
backhaul to gateway
SRT-ICOMOX-POE-SEC-AI PoE version with advanced AI capabilities
SRT-ICOMOX-NBIOT-SEC Monitoring module with NB-IOT and a secure element
(contains mounting hardware)
SRT-COMOX-SM Monitoring module with SmartMesh wireless backhaul to
gateway
SRT-ICOMOX-KIT iCOMOX module, Wireless SmartMesh USB Dongle,
mounting kit, USB cable, Monitor Software
SRT-SMARTMESH-USB-DONGLE SmartMesh Dongle only
SRT-MOUNTING-KIT Mounting hardware only
Ordering Information
Autonomous Mode Operation with Built-In AI
For the SRT-ICOMOX-POE-SEC-AI Version
Autonomous mode anomaly detection algorithms allow users to congure a single preset
state to be learned by the algorithm. Once a machine learning program learns a preset
state, any deviations of observed behavior relative to the preset state can be easily
detected and reported automatically. Autonomous mode nds particular application
in selecting sensors for AI systems and in training AI algorithms. Algorithms can be
congured for a wide training duration (1 to 65535 minutes) and the learning result can be
stored in non-volatile memory.
The benets of the autonomous mode include:
>Compared to the demo mode operation running on all other iCOMOX versions, the
autonomous mode has four times more internal (hidden) substates that augment
learning in a single state
>Storage of the learned model in a non-volatile memory (in external ash)
>Ability to run learning mode for an extended period allowing learning of the machine
behavior for several hours and automatically switching inference mode
>Ability to control sensors involved in the learning/inference mode
iCOMOX Integration with Siemens MindSphere®
MindSphere® is a cloud-based, open IoT operating system from Siemens that connects
real things to the digital world and enables powerful industry applications and digital
services to drive business success. MindSphere’s open platform as a service (PaaS)
enables a rich partner ecosystem to develop and deliver new applications.
iCOMOX uses the strengths of MindSphere® for connecting devices and data analysis
(vibration, magnetic eld, temperature, and noise sensors) to enable accurate real-time
data insights. With MindSphere®, customers can congure warnings and alarm levels as
well as time stamp events for each sensor, which oers comprehensive analysis functions
in the device (edge of the network) and in the cloud. With the specially developed
integrated software and analytics stack in MindSphere®, machine errors can be detected
at an early stage.
Arrow Electronics
is a MindSphere®
Platinum Partner
As a member of the
MindSphere® partner
program, Arrow can oer
market-ready solutions,
including retrotting,
to help companies
migrate and integrate
old industrial plants into
new ones — smart cities
and end-to-end tracking
of assets.
Watch Video:
iCOMOX Condition
Based Monitoring Box
Buy Now
arrow.com/icomox
Getting Started
Documentation
github.com/ArrowElectronics/iCOMOX/wiki
