1 / 23

ASA

ASA. Adaptive Sensor Array Environmental and Meteorological Networked Smart Sensor Advanced Technology Initiative NCAR / ATD / RTF. Presentation Outline. Why Pursue Development? Development GOALS Roles for RTF Surface Facility with ASA 3-Tier Design Concept Preliminary Specifications

nathan
Télécharger la présentation

ASA

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ASA Adaptive Sensor Array Environmental and Meteorological Networked Smart Sensor Advanced Technology Initiative NCAR / ATD / RTF

  2. Presentation Outline • Why Pursue Development? • Development GOALS • Roles for RTF Surface Facility with ASA • 3-Tier Design Concept • Preliminary Specifications • Development Plan • Hardware Development Overview • Software Design Overview • Demonstration Array Deployment for CME-04 Field Experiment

  3. Why Pursue an Adaptive Sensor Array? • Advance existing sensing capabilities for research in complex, interwoven environmental and meteorological processes. • Investigate, test and evolve emerging software methods designed for mesh network topologies. • Develop application algorithms suitable for use and adaptation in other ATD instrument platforms. • Deploy significant-numbers of cost-effective smart sensors capable of communicating, responding, and intelligently measuring diverse processes across heterogeneous environments (more measurements, at more points). • Establish cooperative research relationships with outside agencies and universities (UCLA/CENS, CSU, ..). Return to Top/Outline Slide

  4. Development GOALS • Augment and expand the RTF Integrated Surface Flux Facility (ISFF) with significantly extended / distributed environmental sampling coverage. • Provide a ‘rapidly’ deployable platform that can be configured to facilitate straightforward relocation. • Provide cross-habitat / mesoscale sampling combined with fine-scale sampling. • Provide Internet access to real-time data stream • Permit remote access for command and control of sampling systems. • Provide ‘self-healing’ and ‘self-configuring’ array software capable of dynamically re-routing communications with extended ‘multi-hop’ peer-to-peer features. • Explore, test and Incorporate promising technologies (Fuel-Cells, MEMS, Nano, Optical, etc.) as appropriate to further the over-riding need for low-power, small-scale, and overall research grade sensing products). Note: this level of effort would require a full commitment of personnel and financial resources and possibly a cooperating agency. Independent in-house development on raw low-level ultra-efficient components (such as MEMS based sensors) is unrealistic. Return to Top/Outline Slide

  5. Roles for RTF Surface Facility with ASA • Surface Energy Budget and Turbulent Flux Estimation (Historic) • Test bed for evaluating and exploring the capabilities of multi-scale meteorological and environmental sensor arrays. • Habitat Monitoring • Hydrological cycle • Biogeochemical Dynamics • CO2 monitoring / spatial characterization Return to Top/Outline Slide

  6. Preliminary Specifications • Bi-Directional real-time Wireless communications.  • Flexible modular design capable of incorporating in-situ, remote, and 3-4D measurements of environmental, meteorological and chemical measurements in heterogeneous environments.  (Cameras, GIS, etc.) • A sensor that is both 'smart' and 'intelligent'.  The 'smart' capabilities include processing, minimal calibration, connectivity, whereas the intelligent sensor will include diagnostics, predictive diagnostics, peer-to-peer communication, event response, and knowledge of past events.  The design include the capability of gathering biological, chemical, physical and environmental data locally and remotely, incorporated with infrastructure knowledge for intelligent processing that includes triggering/activating internal and external devices, data rates, power management (to increase life of system), data quality, etc.  • Flexible long range (wide bandwidth)/short range protocol, that will minimize cost, include reliable communications, be compatible with legacy systems, provide appropriate communication ranges, be self-organizing/self-healing, and be power efficient. (IEEE Sensor Protocol P1451.2,3 and 4.) • Multi-platform modular design capable of controlling and communicating with a variety of peripheral (PDA unit, Lap top, off the shelf sensors, planes, satellites, cameras, sniffers, etc.) or third party sensor • The incorporation of the sensor intelligence to a self organizing network capable of continually connecting and re-connecting between local point and far nodes to optimise the efficiency and reliability of data including time synch and location. • The ability to respond to both infrastructure and sensed events, i.e. stack plumes, etc., via power, data rate change, data calibration, network calibration, sensor calibration, etc. Return to Top/Outline Slide

  7. Design Concept Return to Top/Outline Slide

  8. Basic Node Descriptions • Micro Sensor Node • Interface between Mid Range Sensor Nodes and transducers • Self-organizing, short range network • Minimal data processing and decision making • 1. Analog to digital voltage conversion, and processing of raw data into sample stream • 2. Event processing limited to power down or up, sampling rates, time synch • 3. Limited configuration capabilities • ID Broadcast • Spatial range : 100 m Max between nodes • Mid Range Sensor Node • Interface between Micro Sensors and Network Nodes • Interface to higher bandwidth sensors including multiple/bussed Intelligent Serial Devices • Increased data processing and decision making • 1. Acquisition, time stamping and processing of raw data into sample stream • 2. Statistical Data Reduction • 3. Recognition and response to events from sensors, micro sensor nodes, local processing and network nodes • 4. Local and remote configuration of attached sensors, power, data processing, and network parameters • Accurate Clock and Time Synch Broadcast • Spatial range : 10-15 km • Network Node (multiple sensing capability) • Link to outside world/internet and mid range sensors • Highest bandwidth sensing capability (Eddy Correlation flux measurements) • Web services, database, camera • Highest level of data processing and decision making on events • 1. Collective data processing and event handing of remote sensor nodes and local sensors • Spatial range : Local / Regional / Global Return to Top/Outline Slide

  9. Development Plan / Implementation Target • Phase-I • New ISFF Data System (Network / Mid-Level Node) • Demonstration Micro-Sensor Node Array • Demonstrate / Investigate: • Plug and Play Sensor Protocol • Self-Organizing multi-cast communications • Routing protocol optimization – UCLA-CENS Directed Diffusion • Wireless DAQ / Time Synchronization • Power Efficient Operations Return to Top/Outline Slide

  10. Development Plan / Implementation Target • Phase-II • Incorporate • Real-time event driven response methods • Develop • Middle-Level CO2-Pack Nodes • Middle-Level Met-Pack Nodes (10-20km range) • Install high-level processing / storage on Mid-level PC104 platform (replaces / upgrades existing ‘ISFF-EVE’ DAQ) • Global Satellite communications • Integrated / Interactive Data Displays for Host • GIS • Satellite Imagery • NexRAD Return to Top/Outline Slide

  11. Host Institution 'Base' Station Network Node Network Node (Initial Development) MicroSensor Network Mid Level Sensor Pod Met-Pack Mid Level Sensor Pod CO2... Sensor Pod Flux-Pack Mid Level Data System / Sensor Ingest Node (Initial Development) MicroSensor Network (Demonstration Array Development) Implementation Target WEB Access Gateway GIS / Sat. Imagery / NexRAD / etc. RF - L.O.S. Access... Iridium Sat. / Cell-Phone / Fiber / 802.11 RF / Hardwire Access... Optional HardWire / RF. Tleaf Tsoil Tsoil Tsoil Return to Top/Outline Slide

  12. Soil Temp. Profile Motes GPS/T-RH-P Motes Base-Station / Mote Array-Ingester 3-sets, 4-each Deployed at CME-04 CrossBow Technologies Mica2 100m Range / Networkable Solar Powered (12mW ops / .03mW sleep) 6-sensors: 20 samples reported each 30-Sec 2nd Order Calibrated Fit Development in Progress for CME-04 CrossBow Technologies Mica2 / MTS520 100m Range / Networkable with Tsoil Cycled Aspiration for T/RH accuracy Base/Repeater Deployed for CME-04 CrossBow Technologies Mica2 and Maxstream Radio 10-12km Mote Repeater Range Ingest / Forward Mote Data to Main Data Acquisition System(s) Solar Powered (<=300mW ops) In Development: Linux Based Server Version (shown below) CrossBow Technologies Stargate Flash-Card Data Storage Ethernet Interface Phase-I Hardware Development Overview:Wireless Micro-Sensor Motes Return to Top/Outline Slide

  13. Old ISFF Data Acquisition System New Data Acquisition System PC104 Based Computer <= 6-Watts ~8 lbs (mostly the enclosure) Linux Operating System Wireless / Ethernet Interface 16+ Sio ingest 16+ Analog ingest In Development: Flash-Card / Local Data Storage VME Based Computer >= 100-Watts (requires A/C power) ~80 lbs Proprietary VxWorks Operating System Wireless / Ethernet Interface 16+ Sio ingest 16+ Analog ingest Phase-I Hardware Development Overview:New Data System for ISFF / Network Node Barometer DAQ Board Stack Return to Top/Outline Slide

  14. Software Overview • All Software based on Open-Source Model • Java / C++ • Network / Mid-Level: Linux based for enhanced Portability and Maintainability • Micro-Scale Level: TinyOS / NesC based (UofCa/Berkley OS / C++ like language optimized for resource constrained processors) • Dynamic Reconfigurability: Network Routing / Operating Response: all levels Return to Top/Outline Slide

  15. ASA NETWORK SOFWARE EVENT MANAGER CONFIGURATION MANAGER COMMUNICATION MANAGER SENSOR INTERFACE MANAGER DATA MANAGER Software High Level Descriptions • This and following diagrams are intended to highlight the basic approach and underscore the modular concept of software methods designed for cross-tier utilization of Java / C++ code Return to Top/Outline Slide

  16. CONFIG PARAMETERS COMM. PARAM • CONCTN PARAM TRIGGERED INTERNAL AND • CONVRSN PARAM • EXTERNAL EVENTS HANDLED TIME PARAM • BY EVENT MANAGER DATA PARAM • INCLUDE : LOGGING PARAM • HARDWARE • ETC. DATA, • HARDWARE, POWER, ASA NETWORK SOFWARE ARCHIVE MEDIA INFRASTRUCTURE, SENSOR SPECIFIC COMMUINCATION MGR SERIAL DIGITAL GPS OTHER I/O (TIME/LOC) ANALOG SENSOR INTERFACE MGR SENSOR INTERFACE MGR SENSOR SENSOR DATA OTHER OTHER SAMPLE SPECIFIC SPECIFIC GENERATOR MODULES MODULES COMM MGR CONFIGURATION MGR DATA REDUCER QC CONTROL EVENT MANAGER PROCESSOR DATA TIME DATA (GPS) EVENT MANAGER PROCESSOR CONFIGURATION MGR INTELLIGENCE MODULE OTHER PROCESSING COMMUNICATION MGR RF TCP/IP SERIAL UDP OTHER ASA NETWORK SOFWARE Network Node Data OTHER (Legacy, Mid-Level (Micro) etc.) Sensor Pod Data NETWORK NODESoftware MODULE DIAGRAM Return to Top/Outline Slide

  17. CONFIG PARAMETERS COMM. PARAM • CONCTN PARAM TRIGGERED INTERNAL AND • CONVRSN PARAM • EXTERNAL EVENTS HANDLED TIME PARAM • BY EVENT MANAGER DATA PARAM • INCLUDE : LOGGING PARAM • HARDWARE • ETC. DATA, • HARDWARE, POWER, ASA NETWORK SOFWARE ARCHIVE MEDIA INFRASTRUCTURE, SENSOR SPECIFIC COMMUNICATION MGR SERIAL DIGITAL GPS OTHER I/O (TIME/LOC) ANALOG SENSOR INTERFACE MGR SENSOR INTERFACE MGR SENSOR SENSOR DATA OTHER OTHER SAMPLE SPECIFIC SPECIFIC GENERATOR MODULES MODULES COMM. Mgr DATA REDUCER QC CONTROL CONFIGURATION MGR PROCESSOR EVENT MANAGER DATA TIME DATA EVENT MANAGER (GPS) CONFIGURATION MGR PROCESSOR INTELLIGENCE MODULE OTHER PROCESSING COMMUNICATION MGR RF TCP/IP SERIAL UDP OTHER ASA NETWORK SOFWARE Network Node Mid-Level Micro-Sensor Command Sensor Pod Data Pod data And Control Mid-Level Sensor NODESoftware MODULE DIAGRAM Return to Top/Outline Slide

  18. Micro-Level Sensor NODESoftware MODULE DIAGRAM CONFIG PARAMETERS COMM. PARAM • CONCTN PARAM TRIGGERED INTERNAL AND • CONVRSN PARAM • EXTERNAL EVENTS HANDLED TIME PARAM • BY EVENT MANAGER DATA PARAM • INCLUDE : LOGGING PARAM • HARDWARE • ETC. DATA, • POWER, INFRASTRUCTURE, ASA NETWORK SOFWARE ARCHIVE MEDIA COMMUNICATION MGR SERIAL DIGITAL OTHER I/O ANALOG SENSOR INTERFACE MGR SENSOR INTERFACE MGR SENSOR SENSOR DATA OTHER OTHER SAMPLE SPECIFIC SPECIFIC GENERATOR MODULES MODULES COMM MGR DATA REDUCER QC CONTROL EVENT MANAGER PROCESSOR TIME EVENT MANAGER DATA CONFIGURATION MGR CONFIGURATION MGR DATA (GPS) PROCESSOR OTHER PROCESSING INTELLIGENCE MODULE COMMUNICATION MGR RF ASA NETWORK SOFWARE Mid Level Command Micro Pod Data Return to Top/Outline Slide And Control

  19. Prototype Array Deployment for Carbon in the Mountains Experiment (CME) Niwot-Ridge Colorado Summer-04

  20. CME Goals: Typify CO2 Production, Variations and Dispersion

  21. Hydra (CO2 sampling) New ISFF Data System 3 Tall-Towers Wireless ‘ASA’ Tsoil Sensors RTF – CMEContribution Details

  22. Prototype ASA DeploymentNiwot Ridge Colorado 2004ASA Micro-Sensor Array: Soil Temp. Monitoring Micro-Scale Array Base Receiver and Mid-Range (10-12km) Repeater / Transponder Radio. 1 of 3 Towers shown in background (Willow) being installed with Medium-Scale Data Acquisition, Processing and Internet Accessible Communication System forwarding continuous data to host institution archive and display. Scientists installing Solar-Powered Wireless Micro-Sensor Node with 6 Soil Temperature Probes Return to Top/Outline Slide

  23. Target Goal: Regional Networked Arrays Using towers above canopy for collective event detection and response ‘Willow-Tower’ in view from ‘Pine-Tower’ ‘Pine-Site’ Micro-Mote Node with tower / data acquisition in background Mesoscale arrays ‘Aspen’ ‘Willow’ ‘Pine’ Micro scale arrays 2-way communications within Micro-Scale and between Meso-Scale Array Nodes ‘Pine-Site’ Micro-Mote unable to see Base Receiver relays its data through Mote ‘visible’ in background ‘Willow-Site’ Micro-Mote Nodes with tower and data acquisition system in background

More Related