『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 Stopping Elevator Failures Before They Trap Passengers

    How IoT Sensors Are Stopping Elevator Failures Before They Trap Passengers
    2026/07/21
    Episode 123 of Internet of Things with Fexingo dives into the hidden world of elevator predictive maintenance. Lucas and Luna explore how tiny vibration and temperature sensors are being retrofitted into existing elevator systems to catch bearing wear, cable fraying, and motor overheating weeks before a breakdown. With 900 million elevator rides in the US each year and an average of 12,000 entrapments annually, the payoff is enormous. The hosts walk through a case study of a New York City office tower that cut unplanned elevator outages by 80% using IoT telemetry from a company called SafetyCI (fictional). They discuss the technical challenges of retrofitting sensors into decades-old machines, the economics of downtime in a 40-story building, and why property managers are finally investing in connected monitoring. If you have a phone, this is the tech conversation you'll be talking about at dinner. #IoT #PredictiveMaintenance #ElevatorSafety #SmartBuildings #ConnectedDevices #VibrationAnalysis #IndustrialIoT #FacilityManagement #PropTech #RealTimeMonitoring #MotorHealth #BearingFailure #UrbanInfrastructure #DowntimeCost #RetrofitSensor #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How IoT Sensors Are Preventing Hospital Ventilator Failures

    How IoT Sensors Are Preventing Hospital Ventilator Failures
    2026/07/20
    In this episode, Lucas and Luna explore a surprising use of IoT: real-time monitoring of hospital ventilators to catch mechanical failures before they become critical. They focus on a 2025 pilot at Johns Hopkins Hospital where 150 ventilators were retrofitted with vibration and pressure sensors, reducing unplanned downtime by 63 percent. The conversation covers how edge analytics process data locally to avoid latency, the challenge of false alarms in a clinical setting, and why this matters as hospitals push toward predictive maintenance. Lucas brings in a comparison to industrial pumps, while Luna asks about sensor calibration and staff adoption. No ads—just a sharp, focused look at one IoT deployment that is quietly saving lives. #IoT #HealthcareTech #PredictiveMaintenance #JohnsHopkins #VentilatorSafety #EdgeComputing #SensorTechnology #PatientSafety #MedicalDevices #HospitalInnovation #RealTimeMonitoring #VibrationAnalysis #PressureSensors #Technology #FexingoBusiness #BusinessPodcast #InternetOfThings #ClinicalEngineering Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • How IoT Sensors Predict Sinkhole Formation Underground

    How IoT Sensors Predict Sinkhole Formation Underground
    2026/07/19
    In this episode of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensor networks are being deployed underground to detect the early warning signs of sinkhole formation. They dive into a specific case study: the city of Seffner, Florida, where a network of fiber-optic strain sensors and soil moisture monitors now provides real-time data to a predictive model developed by the University of South Florida. Lucas explains how the sensors measure subtle changes in ground resistivity and acoustic emissions months before a collapse, and Luna asks whether the technology can scale beyond high-risk zones. The conversation covers the physics of sinkhole triggers, the cost of retrofitting urban areas, and the role of edge computing in filtering false positives. No clickbait—just a clear look at a technology that might save lives and infrastructure. #SinkholeDetection #IoTSensors #PredictiveAnalytics #SmartCity #InfrastructureMonitoring #FiberOpticSensors #UniversityOfSouthFlorida #SeffnerFlorida #Geohazard #RealTimeMonitoring #EdgeComputing #SoilMoisture #GroundStrain #AcousticEmission #CivilEngineering #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    11 分
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