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

In this episode of Internet of Things with Fexingo, Lucas and Luna explore how municipalities are using IoT sensors to detect sewer overflows in real time, preventing raw sewage from flooding streets and waterways. They dive into a specific case: the city of South Bend, Indiana, which deployed a network of smart sensors and predictive algorithms to reduce combined sewer overflows by over 50 percent, saving millions in fines and cleanup costs. The hosts discuss the technical backbone—from ultrasonic level sensors and flow meters to LoRaWAN and cellular backhaul—and the analytics that turn data into action. They also unpack the business case, including how cities fund these projects with green bonds and the payback from avoided environmental penalties. With a focus on one concrete number—the 50 percent reduction in overflow events—listeners will learn how a city turned aging infrastructure into a data-driven system. The episode concludes with a look at how this approach could scale globally, and what it means for the future of smart water management.

#IoT #SmartCity #SewerOverflow #WaterInfrastructure #SouthBend #UltrasonicSensors #LoRaWAN #PredictiveAnalytics #GreenBonds #Environmental #Technology #Business #FexingoBusiness #BusinessPodcast #ConnectedDevices #IndustrialIoT #Sensors #UrbanTech

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensors are revolutionizing the detection of bridge scour — the gradual erosion of riverbed material around bridge foundations, which is a leading cause of bridge failures worldwide. They dive into a specific case: the 1987 Schoharie Creek Bridge collapse in New York, which killed 10 people and highlighted the lack of monitoring. Today, advanced sensors like tiltmeters, sonar, and piezoelectric scour monitors provide real-time data, but challenges remain in powering them through harsh winters and keeping them calibrated. Lucas and Luna discuss how machine learning is now predicting scour rates from river flow and sediment data, potentially giving engineers a 48-hour warning. They also touch on the economics of retrofitting versus rebuilding, and the role of federal inspection mandates. Tune in for a concrete look at how smart monitoring is making bridges safer.

#BridgeScour #IoT #Infrastructure #StructuralHealthMonitoring #SensorTechnology #CivilEngineering #BridgeSafety #SchoharieCreek #MachineLearning #PredictiveMaintenance #WaterMonitoring #Tiltmeter #Sonar #Piezoelectric #Technology #FexingoBusiness #BusinessPodcast #IndustrialIoT

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore a fresh angle in infrastructure monitoring: using IoT sensors to detect corrosion in steel bridge components before they become critical. They focus on a specific approach — embedded ultrasonic sensors that measure metal loss in real time, paired with environmental data like humidity and chloride levels. The conversation centers on a 2025 pilot project on a coastal highway bridge in Oregon, where sensors caught a 12 percent thickness reduction in a support beam two years before a scheduled inspection would have found it. Lucas explains how the technology works, why traditional visual inspections miss hidden corrosion, and what the data looks like when it streams into a maintenance dashboard. Luna challenges the cost assumptions and asks whether this is practical for smaller municipalities. They also touch on the broader shift toward predictive maintenance and how agencies are starting to budget for sensor networks. A clear, concrete example, this episode gives listeners one memorable number — 12 percent — and a clear picture of how IoT is changing infrastructure care.

#IoTSensors #BridgeCorrosion #PredictiveMaintenance #InfrastructureIoT #UltrasonicSensors #StructuralHealthMonitoring #OregonPilot #CoastalBridges #CorrosionDetection #Technology #Business #FexingoBusiness #BusinessPodcast #InternetOfThings #SmartInfrastructure #MaintenanceTech #SensorNetworks #CivilEngineering

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Drones are everywhere — but so are the people trying to jam their signals. In this episode, Lucas and Luna dig into the surprisingly clever world of IoT-based drone detection and counter-jamming. They trace a real-world scenario: a GPS-spoofed delivery drone at a port, how detection arrays pinpoint the source, and how a mesh of low-cost sensors can block jamming at critical infrastructure. Learn the difference between jamming, spoofing, and hijacking, and how a $200 sensor can outsmart a $50,000 jammer. A focused look at a growing threat and the sensor networks quietly defending our skies.

#DroneSecurity #IoT #SignalJamming #Spoofing #CounterUAS #GPS #SensorNetworks #PortSecurity #IndustrialIoT #CyberPhysical #Tech #FexingoBusiness #BusinessPodcast #Innovation #Resilience #Safety #Infrastructure #RFDetection

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Counterfeit honey is a billion-dollar fraud that often goes undetected by traditional testing. In this episode, Lucas and Luna explore how IoT sensor networks—using near-infrared spectroscopy and machine learning—are being deployed along the supply chain to identify adulterated honey in real time. They discuss a pilot project in a major honey-exporting region where sensors at collection points and processing facilities flag suspicious batches before they reach the market. The conversation covers the science of honey adulteration, the limitations of lab-based testing, and how edge computing enables on-site analysis. Lucas and Luna also consider the economic stakes for beekeepers and consumers, and whether this approach could extend to other food fraud cases like olive oil and spices. Tune in to learn how connected devices are turning the tables on food counterfeiters.

#IoT #FoodFraud #Honey #SupplyChain #Sensors #MachineLearning #NIR #EdgeComputing #AgTech #FoodSafety #Beekeeping #Adulteration #Traceability #Technology #Business #Innovation #FexingoBusiness #BusinessPodcast

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Before a dam fails, it usually leaks. In this episode, Lucas and Luna dig into the physics of seepage and the sensor networks catching it early. They walk through real deployments where tiltmeters, piezometers, and acoustic sensors monitor embankments in real time, and explain the crucial difference between measuring a slow trickle and catching a pipe that's silently eroding a dam from the inside. They also look at the data problem: how much data is too much, and how machine learning is turning raw sensor streams into early warnings. Plus, a conversation about the economic case for predictive maintenance when a single dam failure can cost billions and change lives. If you've ever wondered how engineers know a dam is safe, this episode is for you.

#DamSafety #IoT #SeepageMonitoring #Piezometers #Tiltmeters #AcousticSensors #MachineLearning #PredictiveMaintenance #Infrastructure #CivilEngineering #WaterManagement #SensorNetworks #EarlyWarning #Hydrology #FexingoBusiness #BusinessPodcast #Technology #IndustrialIoT

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When an aircraft engine catches fire, the response window is measured in seconds. This episode looks at how IoT sensors are shrinking that window—detecting overheating bearings, oil leaks, and hot spots inside the engine before they ignite. We talk about the specific sensors used: thermocouples, vibration monitors, and oil debris detectors, and how airlines are moving from scheduled maintenance to condition-based maintenance. We also discuss a real case from a regional airline that avoided a mid-air emergency because a pressure spike was caught early. Lucas and Luna break down the challenges of wireless sensor certification in a safety-critical environment and why the aerospace industry is more conservative than industrial IoT. Plus, a brief note on how listener support keeps this show ad-free.

#IoT #Aerospace #AviationSafety #EngineFire #PredictiveMaintenance #SensorTechnology #Thermocouple #VibrationMonitoring #OilDebris #ConditionBasedMaintenance #AircraftMaintenance #FirePrevention #SafetyCritical #WirelessSensors #AviationIndustry #Technology #FexingoBusiness #BusinessPodcast

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore a lesser-known corner of agricultural IoT: combine harvesters. These massive machines are prone to fires caused by debris buildup near hot engine parts, and grain loss from misadjusted headers. Lucas walks through a case study from a large wheat-growing operation in Kansas where retrofitted thermal sensors and vibration monitors cut harvester fires by 60 percent and reduced grain loss by a quarter. He explains how thermal cameras detect hotspots in the engine bay, how accelerometers sense header blockages, and how edge computing processes data in real time—no cloud needed, since fields often lack connectivity. Luna brings up the cost angle and how smaller farms are adopting cheaper sensor kits. The episode closes with a look at what's next, like using drone imagery to spot crop conditions that affect harvester settings. If you've ever wondered how IoT is transforming the agricultural industry, this episode gives you a concrete, down-to-earth example.

#IoT #SmartAgriculture #CombineHarvester #AgriculturalTech #PrecisionFarming #EdgeComputing #ThermalSensors #VibrationSensors #FarmSafety #HarvestSeason #KansasFarming #AgTech #Technology #FexingoBusiness #BusinessPodcast #IoTDevices #Sensors #IndustrialIoT

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore how a network of sensors is being used to stop grain elevator dust explosions—a hazard that has caused catastrophic losses for over a century. They trace the science behind why grain dust is so explosive, highlight a specific 2022 incident in Iowa that killed two workers and destroyed a facility, and explain the sensor systems now deployed: continuous dust monitors, temperature and humidity sensors, pressure sensors, and even acoustic sensors that detect early ignition. The conversation covers how vibration sensors on bucket elevators catch overheating bearings before they can spark, and how machine learning is improving false-positive rates. They also discuss the challenges of retrofitting older elevators and the regulatory push from OSHA. With a concrete look at the technology and the human stakes, this episode offers a compelling example of IoT saving lives and livelihoods.

#GrainElevatorSafety #DustExplosionPrevention #IoTSensors #IndustrialIoT #WorkplaceSafety #OSHA #MachineLearning #VibrationAnalysis #TemperatureSensors #HumidityMonitoring #PressureSensors #AcousticSensors #BucketElevators #AgricultureTechnology #FoodProcessing #Technology #FexingoBusiness #BusinessPodcast

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In this episode, Lucas and Luna examine a pilot program in the Los Angeles Unified School District where 50 classrooms were equipped with IoT sensors measuring CO2, particulate matter, and volatile organic compounds. The data revealed that poor ventilation correlated with 15% higher absenteeism. After administrators began using real-time alerts to adjust HVAC, absenteeism dropped by 12%. The hosts discuss the technology behind these sensors, implementation challenges, and the potential for scaling to thousands of schools nationwide. They also touch on how listener support helps keep the show ad-free.

#IoTSensors #IndoorAirQuality #SmartSchools #LosAngelesUnified #ClassroomVentilation #AirQualityMonitoring #IoTInEducation #PredictiveMaintenance #StudentHealth #EdTech #EnvironmentalSensors #CO2Monitoring #HVAC #DataDriven #EdInnovation #Technology #FexingoBusiness #BusinessPodcast

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