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

Methane is 80 times more potent than carbon dioxide over 20 years, and landfills are the third-largest source of human-caused methane emissions in the US. In this episode of Internet of Things with Fexingo, Lucas and Luna explore how IoT-based methane sensors are being deployed at landfills to detect leaks in real time, long before they become dangerous or costly. They break down the technology behind tunable diode laser absorption spectroscopy (TDLAS) sensors, how wireless mesh networks relay data across acres of waste, and why the EPA's updated methane regulations are pushing operators toward continuous monitoring. Lucas cites a case from a landfill in Ohio where IoT sensors caught a subsurface leak that traditional walk-around inspections had missed for weeks — potentially preventing a fire and saving the operator $2 million in fines and cleanup. The conversation also touches on the challenges of sensor calibration in harsh environments and the role of AI in distinguishing methane spikes from routine operational releases. A tight, actionable look at a sensor category that is quietly transforming environmental compliance.

#IoT #MethaneDetection #LandfillSafety #EnvironmentalTech #TDLAS #WirelessSensorNetworks #EPA #MethaneEmissions #IndustrialIoT #GasDetection #SmartWasteManagement #ClimateTech #AirQualityMonitoring #PredictiveMaintenance #SensorTechnology #Technology #FexingoBusiness #BusinessPodcast

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Grain silo fires are notoriously hard to detect early—grain dust can smolder for days before erupting. In episode 128 of Internet of Things with Fexingo, Lucas and Luna explore how IoT temperature and carbon monoxide sensors buried inside grain bins can signal a fire days before visible smoke. They walk through a real case from a 2022 silo fire in Kansas, where a $400 sensor array might have saved $2 million in lost grain. Plus, they discuss why most silos still lack any monitoring and what's changing in the U.S. grain storage industry. A must-listen for anyone in agribusiness, food processing, or industrial safety.

#IoT #IndustrialIoT #GrainSilo #FirePrevention #TemperatureSensor #COSensor #AgricultureTech #AgriIoT #FoodSafety #GrainStorage #Kansas #PredictiveMaintenance #SensorTechnology #WirelessIoT #UnitedStates #Technology #FexingoBusiness #BusinessPodcast

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Beneath the waterline, river currents erode the sediment around bridge piers—a phenomenon called scour that has caused more U.S. bridge collapses than all other causes combined. In this episode, Lucas and Luna explore how IoT sensors are now detecting scour in real time using accelerometers, tiltmeters, and water-pressure transducers. They focus on a specific case: the I-40 bridge over the Mississippi River near Memphis, where a retrofit sensor array installed in 2024 sends readings every 15 minutes to a cloud dashboard. The conversation digs into the physics of scour, the challenge of keeping sensors alive through ice and debris, and why the Federal Highway Administration now recommends wireless scour monitoring for high-risk bridges. If you've ever crossed a bridge and wondered what's holding it up, this episode tells you exactly what technology is watching the pillars underneath.

#BridgeScour #IOT #InfrastructureMonitoring #CivilEngineering #StructuralHealth #MississippiRiver #Accelerometer #Tiltmeter #WaterPressureSensor #FederalHighwayAdministration #ScourDetection #WirelessSensors #BridgeSafety #RealTimeMonitoring #IndustrialIOT #SensorNetworks #FexingoBusiness #BusinessPodcast

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Concrete cracks are inevitable — but what if you could detect them when they're still microscopic, before they become structural problems? In this episode, Lucas and Luna explore how IoT-enabled acoustic emission sensors are catching micro-cracks in concrete bridges, dams, and buildings. They look at the physics — how sensors pick up ultrasonic energy released when a crack forms — and a real deployment on the I-35W Saint Anthony Falls Bridge in Minneapolis, where over 200 sensors monitor for crack initiation. The hosts also discuss the cost: about $400 per sensor node, versus millions in repair costs if a crack goes undetected. A concrete example of predictive maintenance saving infrastructure.

#Concrete #AcousticEmission #StructuralHealthMonitoring #IoT #Infrastructure #PredictiveMaintenance #BridgeSafety #CivilEngineering #SensorTechnology #MicroCracks #UltrasonicSensors #I35WBridge #Minneapolis #SmartInfrastructure #Durability #Technology #FexingoBusiness #BusinessPodcast

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Imagine a water main bursts under a city street, flooding a neighbourhood, costing millions in repairs. In this episode, Lucas and Luna explore how IoT sensors are now detecting underground corrosion in real time — before pipes fail. They dive into a case study from a midwestern US city that retrofitted 500 cast-iron water mains with wireless corrosion sensors. The sensors measure galvanic current and wall thickness, transmitting data via LoRaWAN every six hours. The city caught three incipient failures in the first year alone, saving an estimated $4 million. Lucas explains the chemistry behind the corrosion process, the sensor technology used, and why this approach is spreading to gas pipelines and industrial chemical plants. A concrete, numbers-driven look at how industrial IoT is quietly preventing infrastructure catastrophes.

#IoT #IndustrialIoT #CorrosionMonitoring #Infrastructure #WaterMains #PredictiveMaintenance #SensorTechnology #LoRaWAN #AssetManagement #SmartCity #PipelineSafety #UndergroundInfrastructure #Business #Technology #FexingoBusiness #BusinessPodcast #InternetOfThings #RealTimeMonitoring

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In this episode, Lucas and Luna examine how IoT sensors are being deployed in district heating networks to detect leaks in real time, saving water, energy, and repair costs. They focus on a case study from Copenhagen, where a network of over 1,000 acoustic sensors monitors 60 kilometers of underground pipes. The sensors pick up the sound of water escaping from pressurized pipes, distinguish it from background noise, and send alerts within minutes. Lucas explains how this technology reduces water loss from an average of 15 percent to under 2 percent, and cuts the cost of emergency repairs by 40 percent. Luna asks about the economics of retrofitting older networks, and Lucas breaks down the payback period, which can be as short as 18 months for networks with high water loss. The episode also touches on the integration of these sensors with existing supervisory control and data acquisition (SCADA) systems, and the challenge of false positives in noisy urban environments. A practical look at how IoT is making heating infrastructure more efficient and resilient.

#IoT #DistrictHeating #LeakDetection #AcousticSensors #Copenhagen #Infrastructure #EnergyEfficiency #PredictiveMaintenance #SCADA #WaterConservation #UrbanTech #SmartCity #IndustrialIoT #SensorTechnology #RealTimeMonitoring #FexingoBusiness #BusinessPodcast #Technology

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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

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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

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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

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Episode 120 of Internet of Things with Fexingo dives into smart sewer monitoring. Lucas and Luna explore how cities like Louisville and Copenhagen are deploying IoT sensors to detect combined sewer overflows in real time. They break down the technology—ultrasonic level sensors, conductivity probes, and AI-driven prediction models—and reveal a startling stat: the U.S. EPA estimates over 850 billion gallons of untreated sewage overflow annually. Learn how sensors are cutting overflow events by up to 70 percent in some districts, and why the ROI for municipalities is often under two years. Plus: how one startup is using edge computing to send alerts before backups reach homes.

#IoT #SmartCities #SewerMonitoring #CSO #UltrasonicSensors #EdgeComputing #Louisville #Copenhagen #WaterInfrastructure #RealTimeMonitoring #AI #PredictiveAnalytics #MunicipalTech #FexingoBusiness #BusinessPodcast #Technology #EnvironmentalIoT #Infrastructure

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