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    <responseDate>2026-10-14T15:58:24Z</responseDate>
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    <identifier>10.57760/sciencedb.27657</identifier>
    <datestamp>2025-07-18T14:54:04Z</datestamp>
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  <dc:date>2025-07-18</dc:date>
  <dc:title>tunnel lighting environment monitoring and equipment operating status variables</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27657</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset comprehensively captures the operational dynamics of tunnel lighting systems through continuous monitoring of 12 key parameters&amp;mdash;including equipment status (illuminance levels, contactor waterproof state), environmental conditions (temperature, humidity, voltage fluctuations), and operational profiles (daily runtime)&amp;mdash;across a 15.2-km highway tunnel network over 46 months (2019&amp;ndash;2022). Data was acquired at 5-second resolution for equipment and 1-minute resolution for environment via industrial-grade sensors (illuminance meters, T/H sensors, smart meters) deployed at 100-m intervals across 152 spatial units, with vertical stratification at ceiling (5.2m), mid-air (2.5m), and road-level (0m). Raw measurements underwent edge preprocessing (3&amp;sigma; anomaly filtering, wavelet-based smoothing), spatiotemporal alignment, and feature engineering before storage in InfluxDB, yielding 130 million structured records optimized for analyzing thermal-electrical coupling, fault prediction, and energy efficiency under industry-compliant (JTJ 026.1-1999) conditions.&amp;nbsp;</dc:description>
  <dc:subject>tunnel lighting; environment monitoring; equipment operating</dc:subject>
  <dc:creator>汤佳宝</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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