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

Lucas and Luna explore a new generation of IoT sensors that detect ground movement and moisture changes hours before a landslide occurs. They dive into a US Geological Survey pilot program in Oregon's Coast Range where tiltmeters and moisture probes at six-inch intervals fed a machine learning model that predicted 9 out of 12 landslides within 48 hours. The hosts discuss the sensor network's 75% precision rate, the challenge of false positives, and how the technology could be scaled to protect communities in mountainous regions worldwide. They also touch on the shift from reactive disaster response to proactive risk monitoring using low-cost, solar-powered sensor packages.

#LandslidePrediction #IoTSensors #Interactive #USGS #NaturalDisasterPrevention #GeotechnicalMonitoring #Tiltmeter #MoistureSensor #MachineLearning #PacificNorthwest #Oregon #SensorNetwork #CivilEngineering #RiskMonitoring #ClimateAdaptation #FexingoBusiness #BusinessPodcast #Technology

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California's 2021 drought cost growers billions, but one Napa Valley vineyard cut water use by 20% without sacrificing yield. In this episode, Lucas and Luna explore how buried soil moisture sensors, weather stations, and canopy sensors are enabling precision irrigation. They break down the technology, cost ($500 per node, two-season payback), and the broader implications for farming in a changing climate. A concrete look at how IoT is making agriculture smarter and more sustainable.

#IoT #SmartAgriculture #PrecisionIrrigation #Vineyard #CaliforniaDrought #WaterConservation #SoilMoistureSensor #CanopySensor #WeatherStation #NapaValley #ClimateTech #AgTech #Sustainability #FoodProduction #DataDrivenFarming #FexingoBusiness #BusinessPodcast #Technology

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Episode 137 of Internet of Things with Fexingo dives into how IoT sensors are detecting partial discharge in underground power cables, preventing blackouts and fires. Lucas and Luna explore the technology behind continuous partial discharge monitoring, the data that predicts insulation failure months in advance, and a real-world case from a Texas utility that used acoustic sensors to avoid a city-wide outage. They also discuss the economics of cable replacement vs. sensing, and how this IoT application is scaling as utilities digitize their grids. A must-listen for anyone in energy, infrastructure, or industrial IoT.

#IoT #PartialDischarge #PowerCables #PredictiveMaintenance #GridReliability #Utilities #IndustrialIoT #SensorTechnology #BlackoutPrevention #AcousticSensors #TexasUtility #InsulationFailure #CableMonitoring #Technology #Business #FexingoBusiness #BusinessPodcast #IoTWithFexingo

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Arc flashes are sudden electrical explosions that cause thousands of injuries and hundreds of deaths each year in the US. This episode explores how wireless IoT sensors—temperature monitors, partial discharge detectors, and infrared cameras—can predict electrical failures before they become catastrophic. We look at a concrete case: a Midwest utility company that installed wireless temperature sensors on high-voltage breakers and caught a developing hotspot within months. Lucas and Luna discuss the NFPA statistics, the physics of an arc flash, and how affordable sensor networks are making these safety systems accessible to medium-sized factories. They also examine the challenges of retrofitting older electrical rooms and the role of predictive analytics in industrial maintenance. Tune in for a focused look at how industrial IoT is turning electrical safety from reactive to proactive.

#InternetOfThings #IndustrialIoT #ArcFlash #ElectricalSafety #PredictiveMaintenance #SensorTechnology #FirePrevention #WorkplaceSafety #IndustrialSensors #TemperatureMonitoring #PartialDischarge #NFPA #SafetyStandards #ElectricalEngineering #IoT #IndustrialSafety #SmartBuildings #FexingoBusiness

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Each year, transformer failures in power grids cause billions in damage and extended blackouts. New IoT sensor systems—combining vibration, acoustic, temperature, and dissolved gas analysis—can predict failures weeks in advance. In this episode, Lucas and Luna examine how utilities like TVA and Southern Company are deploying these sensor arrays to monitor critical transformers. They walk through the sensor technology, the data analytics that flag anomalies, and the economic case: a single avoided catastrophic failure can save over two million dollars, making the sensor investment a no-brainer. They also discuss challenges such as retrofitting older transformers, data bandwidth constraints, and false positives. Plus, they touch on the role of edge computing in processing data locally and how machine learning models improve over time to reduce false alarms. Finally, they consider the broader implications for grid reliability as renewable energy sources add stress to aging transformer fleets.

#IoT #IndustrialIoT #Technology #FexingoBusiness #BusinessPodcast #PowerGrid #Transformer #PredictiveMaintenance #VibrationAnalysis #AcousticSensors #DissolvedGasAnalysis #Substations #GridReliability #EdgeComputing #MachineLearning #Energy #Utilities #Infrastructure

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensors are safeguarding the global vaccine supply chain. They start with the 2024 failure at a major distribution hub where a single faulty thermostat ruined 50,000 doses of measles vaccine. Then they dive into the technology: wireless temperature loggers, real-time cloud dashboards, and alert systems that now monitor every refrigerated truck and storage unit. They highlight a case from a logistics company that cut spoilage by 90% using vibration-tolerant multi-point sensors. Lucas explains the sensor types — resistance temperature detectors (RTDs) and thermistors — and why accuracy within 0.1°C matters for mRNA vaccines. Luna questions the cost barrier for smaller clinics, and Lucas shares how pay-per-dose sensor models are emerging. The episode ends with a forward look at blockchain integration for audit trails.

#IoT #InternetOfThings #ColdChain #VaccineDistribution #SupplyChain #TemperatureMonitoring #Logistics #HealthcareIoT #SensorTechnology #PublicHealth #Pharmaceuticals #PredictiveMaintenance #RealTimeMonitoring #Blockchain #TechPodcast #FexingoBusiness #BusinessPodcast #Technology

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In this episode of Internet of Things with Fexingo, Lucas and Luna dive into one of the most common and costly problems in manufacturing: unplanned motor downtime from bearing failures. They walk through how vibration sensors and machine learning algorithms can predict bearing degradation weeks in advance, using a real example of a major automotive plant that cut unplanned downtime by 40 percent. Along the way, they discuss the physics of vibration analysis — from root mean square velocity to envelope detection — and why false alarms remain a challenge. A sharp, practical look at how industrial IoT is reshaping maintenance from reactive to predictive.

#IoT #PredictiveMaintenance #BearingFailures #VibrationSensors #IndustrialIoT #Manufacturing #MachineLearning #ConditionMonitoring #Automotive #Downtime #RootMeanSquare #EnvelopeDetection #FexingoBusiness #BusinessPodcast #Technology #Sensors #Maintenance #Industry40

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Wind turbine blades are the most stressed components of a modern turbine — and when they fail, the costs are enormous: single blade replacements can run $200,000 to $500,000, plus weeks of lost power generation. This episode explores how embedded IoT sensors are shifting the industry from periodic visual inspections to continuous structural health monitoring. Lucas and Luna discuss fiber-optic strain sensors, acoustic emission sensors, and vibration monitoring systems that detect micro-cracks, delamination, and fatigue before catastrophic failure occurs. They walk through real-world data from a 2025 field trial in the North Sea, where a sensor-equipped turbine detected a subsurface crack two months before any visible damage appeared. The episode also covers the challenges of powering sensors inside composite blades, transmitting data from rotating components, and integrating with existing SCADA systems. If you are involved in renewable energy asset management or industrial IoT, this episode gives you the concrete sensor choices and deployment strategies that are keeping blades spinning safely.

#WindTurbineBlades #WindEnergy #IoT #IndustrialIoT #PredictiveMaintenance #StructuralHealthMonitoring #CompositeMaterials #FiberOpticSensors #AcousticEmission #SCADA #ConditionMonitoring #VibrationAnalysis #RenewableEnergy #AssetManagement #FexingoBusiness #BusinessPodcast #TechnologyPodcast #InternetOfThings

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Every year, US cities lose an estimated 2.1 trillion gallons of treated water through leaks and main breaks—enough to fill Lake Mead. In this episode, Lucas and Luna explore how a new generation of IoT sensors is quietly transforming water infrastructure. They focus on the case of Atlanta, which deployed a network of acoustic and pressure sensors across 2,200 miles of aging cast-iron pipes. The results: a 40 percent reduction in emergency water main repairs over two years. Lucas explains how the sensors detect the specific sound frequency of a pinhole leak long before the pipe bursts, and how machine learning models filter out false positives from traffic and construction noise. Luna questions whether the cost of retrofitting every pipe makes sense for smaller municipalities. They discuss the economics: each prevented main break saves roughly $200,000 in emergency repair and property damage. The episode closes with a look at how AI is beginning to predict pipe failure by cross-referencing sensor data with soil composition and historical break records.

#IoT #WaterInfrastructure #SmartCity #LeakDetection #SensorNetworks #AtlantaWater #AcousticSensors #PredictiveMaintenance #UrbanSystems #NonRevenueWater #CastIronPipes #MachineLearning #ROI #InfrastructureTech #IndustrialIoT #Technology #FexingoBusiness #BusinessPodcast

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore a cutting-edge application of IoT sensors: predicting wildfire ignition along power transmission corridors. They discuss a pilot program by a major western utility that deployed thousands of networked temperature, humidity, and electrical arc sensors on remote towers. The system caught three potential ignitions in its first month, including a failing insulator that traditional patrols missed. We break down the sensor stack, the data pipeline, and why utilities are racing to deploy this technology before the next fire season.

#IoT #WildfirePrevention #PowerGrid #SmartSensors #PredictiveMaintenance #UtilityTech #FireSafety #EnvironmentalMonitoring #ClimateAdaptation #SensorNetworks #EdgeComputing #DataAnalytics #PublicSafety #California #Infrastructure #Business #FexingoBusiness #BusinessPodcast

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