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coremicro® Smart Wireless Network for Systems Health Monitoring

Wireless Sensor Network (Photo).bmp

The Smart Wireless Network is a complete systems health monitoring solution based on AGNC's smart sensor and intelligent processing technologies. A network of sensor nodes (e.g. Smart Transducer Integrators, STIs) may conduct data acquisition (sensors) or control (actuators) and wirelessly transfer data over ZigBee communication links to a coordinator Network Capable Application Processor (NCAP). Then over an Ethernet (WLAN, LAN, WiFi) link, a user may access the system with a Graphical User Interface/Man Machine Interface (MMI). The system can also accommodate sensing in areas isolated by metal barriers (e.g. pressurized tanks) based on its wireless ultrasonic power and data transfer technology.

 

This system is perfect for the following applications:

  • Machinery Vibration Monitoring

  • Structural Health Monitoring (SHM)

  • Condition Based Maintenance (CBM)

  • Automated Data Acquisition

  • Sensor Data Processing by Artificial Intelligence

Example Implementation of the Smart Wireless Network

Diagram Showing the Hierarchial Strucutre of Sensor Nodes (AESS), Coordinators (HMN, or NCAP) and User Interface (MMI)

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The Smart Wireless Network is an integral solution for systems Health Monitoring (HM) applications and includes analysis tools (RTSHM-kernel), diagnostic algorithms based on signal processing and machine learning, and sensor nodes (options include the STI, AISTS, and CRE-SSN). An optional ruggedized computer is also available for hosting sensors and HM software.

 

Key features are:

  • Sensor self-identification with IEEE 1451 Transducer Electronic Data Sheets (TEDS)

  • High Performance Diagnostics (system and sensor levels)

  • Embedded Intelligent Health Monitoring Functions (pattern recognition and classification by MLP and CNN neural networks)

  • Ultra-low power suitable for operation with energy harvesting methods.

  • Signal analysis toolset for system characterization, signal visualization, datalog generation, and training files generation.

  • Clustering algorithms (unsupervised neural networks for recognizing unknown conditions)

  • Advanced Pattern Recognition: fast training, small footprint algorithms, and high performance

  • Sensor Calibration Functions

  • Wireless communication in compliance with IEEE 802.15.4 (ZigBee)

  • Scalable, hierarchical, and modular architecture

  • Flexible sensor configurations (nodes can be customized with several sensors of different modalities)

  • Customizable sensors for measurement of flow, temperature, pressure, vibration (accelerometers and PZT)

  • Optional IEEE 802.11.x LAN communication

  • Support for ISA100 Gateways and Field Devices using MODBUS over TCP/IP

  • Optional Ruggedized Computer

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Application Example: Smart Transducer Integrator (STI) Nodes Acquiring Data (with Embedded Diagnostics) from 5 Pressure Sensors and 6 Flow-Rate Sensors in a Fluid Transport System. This Data is Transmitted to the NCAP Wirelessly over ZigBee Communication Links

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