Download 23 Jul 2015 ... Sensor Data plays an important role in exposing the problems in the mine cycle. ▫ Sensors help determine severity of issue ...
Download 23 Jul 2015 ... Sensor Data plays an important role in exposing the problems in the mine cycle. ▫ Sensors help determine severity of issue and thus prioritize the need for attention . ▫ Data for various sensors are available for example:
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MANUAL DE ARCGIS 9.3 - Básico DESCRIPCION DE LA SUITE ARCGIS , REPRESENTACION Y CONSULTA DE DATOS Proyecto “Desarrollo de Capacidades para la Zonificación
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Download Development implies both temporal and spatial processes. However the spatial dimension has often been neglected or been given low priority by groups preparing environmental or sustainable development indicators. A Geographical Informat
Download Development implies both temporal and spatial processes. However the spatial dimension has often been neglected or been given low priority by groups preparing environmental or sustainable development indicators. A Geographical Informat
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Download kapasitansi : Beberapa aplikasi yang dapat dibuat dengan sensor kapasitif : • Tekanan : menggunakan sebuah membran yang dapat merenggang sehingga tekanan dapat dideteksi dengan menggunakan spacing-sensitive detector. • Ketinggian caira
ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 5, Issue 8, August 2016
Freeport-McMoRan Sensor Data and GIS Approach for Visualization July 23, 2015
Sensor Data
Sensor Data plays an important role in exposing the problems in the mine cycle Sensors help determine severity of issue and thus prioritize the need for attention Data for various sensors are available for example: - Tire Pressure, Suspension Cylinder, Fuel Level, Flow Meters, Payload Status, Weather Stations, Ground Speed, Engine Load, Avg. Flow etc. This presentation covers how Freeport-McMoRan is using GIS to visualize the suspension sensor data and then making the application available to site users for daily implementation and follow up.
Road Quality Overview Project Goals
Objective: Use of Sensor and GPS data to measure road quality and identify adverse conditions for roads
Approach: - Conduct onsite field observations to locate bad road conditions and observe truck behavior at those locations - Analyze sensor data to identify key indicators of road condition using - Suspension cylinder pressure - GPS - Visualize findings using geospatial technologies
Road Quality – Manual Observations
We used field observations to identify bad points in the road Process • Traveled to mines to take field observations • Observed trucks hitting rough sections of road and logged data (see example) • Used Garmin GPS to pinpoint location of observed road conditions
Big Hole Lat:32.7933 Long: -108.0835 Time: 12:54 Truck: 713
Road Quality – Sensor Observations Trucks and Sensors
Objective - Used sensor and GPS data to measure road quality and identify adverse road conditions
Operationalize - Using ArcGIS platform, create road quality heat-map - Create daily refresh of report
Opportunities - Engage site operations to integrate into processes - Capture opportunity – differences in speed between when segment is ‘good’ vs ‘bad’ - Build geospatial visualization that prioritizes bad segments based on impact-to-efficiency - Create road health scorecard