『Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT』のカバーアート

Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT

Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT

著者: Fexingo
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Lucas and Luna examine the practical realities of the Internet of Things, from sensor calibration to industrial mesh networks. Each episode grounds a specific IoT domain—smart agriculture, predictive maintenance, connected logistics—in measurable outcomes: cost per node, data throughput, failure rates. They discuss why some deployments succeed while others stall, referencing case studies like a factory floor retrofit in Stuttgart or a city-wide air quality network in Bengaluru. The conversation stays close to engineering constraints—power budgets, latency requirements, security patches—never drifting into abstract promises. Lucas often presses on vendor lock-in and protocol fragmentation; Luna pushes back with real-world interoperability examples. This show serves engineers, product managers, and strategists who need sober assessments of what connected devices actually deliver. By the end of an episode, you will understand why one smart building project cut energy use by 18% while another never left the pilot phase. #InternetOfThings #IndustrialIoT #ConnectedDevices #SensorNetworks #SmartCities #PredictiveMaintenance #IoTEngineering #LoRaWAN #EdgeComputing #M2M #Technology #Business #FexingoBusiness #BusinessPodcast #TechPodcast #IIoT #SmartAgriculture #IoTProtocols Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How IoT Sensors Are Predicting Wildfire Risk in Real Time
    2026/06/05
    Episode 33 of Internet of Things with Fexingo explores a growing frontier for connected sensors: wildfire detection and prevention. Lucas and Luna examine how a network of low-cost environmental sensors deployed across California's high-risk zones is giving firefighters hours of advance warning. They break down the tech: temperature, humidity, wind, and particulate-matter sensors feeding data into a machine-learning model that flags conditions exceeding historical thresholds. The episode profiles one specific deployment in Sonoma County, where a 2024 pilot program caught a nascent fire before it spread. They also discuss the challenges — battery life in remote terrain, false positives from campfire smoke, and the cost of scaling. If you've wondered whether IoT can help with climate-driven disasters, this is a concrete look at a system already in use. #IoT #WildfirePrediction #EnvironmentalSensors #ClimateTech #MachineLearning #California #SonomaCounty #FireDetection #SensorNetworks #EdgeComputing #LPWAN #LoRaWAN #PublicSafety #DisasterPrevention #Technology #ConnectedDevices #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    13 分
  • How IoT Sensors Are Revolutionizing Olive Oil Storage
    2026/06/05
    Lucas and Luna explore how IoT sensors are transforming the storage phase of olive oil production. They focus on a specific case: a cooperative in Tuscany that deployed temperature, humidity, and gas sensors in their aging tanks to prevent oxidation and spoilage. The episode details how the sensors detect volatile organic compounds and trigger alerts when conditions deviate, saving the cooperative an estimated $200,000 per season. Lucas explains the technology behind the sensors, including the use of metal-oxide semiconductor gas sensors, and Luna highlights the broader implications for quality assurance and supply chain efficiency. The conversation also touches on the economics of sensor deployment for small producers and the potential for blockchain integration to verify storage conditions. #IoT #OliveOil #FoodTech #Sensors #SupplyChain #QualityControl #Tuscany #AgTech #GasSensors #VOC #Oxidation #SmartStorage #IndustrialIoT #PrecisionAgriculture #FoodSafety #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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    6 分
  • How IoT Sensors Are Detecting Land Mines
    2026/06/04
    In this episode, Lucas and Luna explore how IoT sensor technology is being repurposed for humanitarian demining. They discuss a specific project in Ukraine where low-cost vibration and metal-detection sensors are networked via mesh radio to map minefields remotely, reducing human risk. The conversation covers the technical challenges—false positives from battlefield debris, battery life in extreme weather—and the non-profit organization leading the effort, the HALO Trust. They also touch on how the same sensor fusion techniques used in industrial predictive maintenance are being adapted to distinguish anti-personnel mines from scrap metal. A concrete example: a pilot program in the Kharkiv region that has cleared 12 acres using drone-deployed sensor arrays. The episode ends with a reflection on technology's role in restoring usable land after conflict. #IoT #Sensors #HumanitarianTech #LandMines #Ukraine #HALOTrust #Demining #MeshNetworks #SensorFusion #PredictiveMaintenance #DroneTech #NonProfit #Technology #BusinessPodcast #FexingoBusiness #ConnectedDevices #IndustrialIoT #Innovation Keep every episode free: buymeacoffee.com/fexingo
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    9 分
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