Sensors, the internet of things and observation networks give operators continuous information on asset condition and service performance. In this field they support condition monitoring, leak and fault detection, and situational awareness during events.
What sensors, IoT and observation networks does here.
Sensors, IoT and observation networks collect continuous measurements of physical, environmental and operational conditions. They provide the real-time inputs thatئاگادارکردنەوەی پێشوەختand asset monitoring depend upon. Inژێرخانی هەستیارand cities and built environment, observation networks enable early warning and condition-based maintenance. They reveal how stresses in one system appear in connectedسیستەمەin near real time. The canonical description is onSTEM Commons.
Structural health monitoring
Strain, vibration and displacement sensors on bridges and buildings track changes that indicate damage or deterioration.
Leak and pressure monitoring
Pressure and flow sensors and acoustic loggers locate leaks and bursts in water networks, so crews reach them before they grow.
Grid sensing
Phasor measurement units and smart meters show grid conditions and outage locations in near real time.
03جوگرافیا
ڕووبەڕووبوونەوەی ژێرخان لە ڕۆژاوای ئەوروپا.
ڕووناکیی شەو، چڕیی دانیشتووان و ئاوی لافاو لەسەر ڕۆژاوای ئەوروپا، لە NASA GIBS. هەر چینێک ڕێکەوتی خۆی هەڵدەگرێت.
نەخشە کارلێککارەکە JavaScript پێویستە؛ لیستی چینەکان و سەرچاوەکان لە خوارەوەن.
We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified).داتای کراوەی NASA
We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified).داتای کراوەی NASA
ڕووناکیی شەوی VIIRS Black Marble، NASA Goddard Space Flight Center؛ بڵاودەکرێتەوە لەلایەن NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC)؛ وێنەکان لە ڕێگەی NASA GIBS. ڕەنگەکان لە نەخشەڕەنگی بڵاوکراو دووبارە کێشراونەتەوە؛ بەهاکان لە خانە شەشگۆشەییەکاندا تێکڕا کراون کاتێک پیشان دراون (دەستکاریکراو). داتای کراوەی NASA
Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. ڕەنگەکان لە نەخشەڕەنگی بڵاوکراو دووبارە کێشراونەتەوە؛ بەهاکان لە خانە شەشگۆشەییەکاندا تێکڕا کراون کاتێک پیشان دراون (دەستکاریکراو). doi:10.7927/H49C6VHW. CC BY 4.0
بەرهەمەکانی زەویی MODIS (ئیندێکسی ڕووەک، بەرهەمی سەرەتایی گشتی، داپۆشراوی زەوی)، NASA LP DAAC و LANCE؛ وێنەکان لە ڕێگەی NASA GIBS. ڕەنگەکان لە نەخشەڕەنگی بڵاوکراو دووبارە کێشراونەتەوە؛ بەهاکان لە خانە شەشگۆشەییەکاندا تێکڕا کراون کاتێک پیشان دراون (دەستکاریکراو). داتای کراوەی NASA
ASTER GDEM بەرهەمی METI و NASA ە (ASTER Global Digital Elevation Model V003، NASA LP DAAC)؛ وێنەکان لە ڕێگەی NASA GIBS. ڕەنگەکان لە نەخشەڕەنگی بڵاوکراو دووبارە کێشراونەتەوە؛ بەهاکان لە خانە شەشگۆشەییەکاندا تێکڕا کراون کاتێک پیشان دراون (دەستکاریکراو). ناوهێنان بەم شێوەیە: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. داتای کراوەی NASA
ڕووداوە ڕاستەوخۆکان: NASA Earth Observatory Natural Event Tracker (EONET)؛ ڕووداوەکان نیشانەدەرن و بەستەری سەرچاوەی ڕەسەنی خۆیان دەهێڵنەوە.
ڕاستەوخۆ: NASA EONET ڕووداوەکان نیشانەدەرن، نەک ئاگادارکردنەوەی دەسەڵات.
ڕاستەوخۆ: U.S. Geological Survey ڕووداوەکان نیشانەدەرن، نەک ئاگادارکردنەوەی دەسەڵات.
Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
جۆری داپۆشەری زەوی (IGBP)، ساڵانە: داپۆشەری زەویی MODIS Terra و Aqua (MCD12Q1)، NASA LP DAAC · 2024
ئیندێکسی ڕووەکی باشترکراو، 8 ڕۆژی بزۆک: MODIS Terra EVI، NASA LANCE · 13ی تشرینی یەکەمی 2026
04داتا
What the method consumes.
Datasets and records used by sensors, IoT and observation networks on this platform, with the role each plays and the label its values carry. Sources are listed inthe source register.
تۆڕە پشتبەستوو بە یەکترەکان Buldyrev و ئەوانی دیکە (2010)، Catastrophic cascade of failures in interdependent networks، Nature 464
زنجیرەی بارزۆری Motter و Lai (2002)، Physical Review E 66
بارگرانی ناوەندێتی نێوانی Brandes (2001)، Journal of Mathematical Sociology 25
تۆڕە فرە چینەکان Kivela و ئەوانی دیکە (2014)، Journal of Complex Networks 2
پشتبەستنی ژێرخانەکان بە یەکتر Rinaldi، Peerenboom و Kelly (2001)، IEEE Control Systems 21(6)
پەنجەی نادڵنیایی (مۆنتی کارلۆی پارامیتەر) Spiegelhalter, Pearson و Short (2011)، Visualising uncertainty about the future، Science 333
هەستیاریی یەک-یەک (تۆرناد) Saltelli و ئەوانی دیکە (2008)، Global Sensitivity Analysis: The Primer، Wiley
داتا
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
Sensors are calibrated against reference instruments and checked through co-location and redundancy.Data qualityflags and automated range checks catch faults.
بپشکنە
How it is done
Sensor calibration
Sensors are calibrated and drift is tracked
Data quality flags
Missing and suspect values are flagged before analysis
Security of sensor networks
Connected sensors are assessed for cyber risk before deployment
Sensor drift, power loss and connectivity gaps degrade data during the events of most interest. Dense networks raise security and privacy concerns.
07شبیهسازی دووانە و زنجیرەیی
Model Sensing and IoT for infrastructure as a system. Run the cascade.
Assembled from theNexus Standardsarea profileCritical infrastructure and critical entities: the hazards it names, theسیستەمەand sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the fullSystem Builder.
The couplings between the systems in Sensing and IoT for infrastructure: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
پرەنسیپە ڕێنماییەکانی FAIR · GO FAIR و FORCE11W3C PROV · World Wide Web Consortiumڕێنمایی بۆ مامەڵەی یەکسان لەگەڵ نادڵنیاییەکان · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
10Stewardship
Who maintains the method.
ژێرخانی هەستیارstewards sensors, IoT and observation networks for the Consortium and reviews how it is applied across platforms.
What are the limits of sensors, IoT and observation networks in this field?
Sensor drift, power loss and connectivity gaps degrade data during the events of most interest. Dense networks raise security and privacy concerns.
How are results checked?
Sensors are calibrated against reference instruments and checked through co-location and redundancy. Data quality flags and automated range checks catch faults.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Reportsis the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
GCRIژێرخانی هەستیارسیستەمە ستراتیژییەکانسیناریۆ و تاقیکردنەوەی گوشار
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