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

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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Mold costs building owners tens of thousands in remediation, but by the time you see it, the colony is weeks old. Lucas and Luna explore how a network of low-cost IoT sensors measuring humidity, temperature, and volatile organic compounds can detect the metabolic signatures of mold before visible growth. They walk through a real deployment at a 12-story corporate office tower in Austin, Texas, where 214 sensor nodes cut mold-related HVAC maintenance by 62 percent in the first year. The hosts discuss false positive challenges, the role of machine learning in distinguishing mold VOCs from cleaning chemicals, and why retrofitting existing buildings is the real market opportunity. A practical look at how connected devices are turning building biology into data.

#IoT #SmartBuildings #MoldDetection #IndoorAirQuality #ConnectedDevices #BuildingMaintenance #SensorNetworks #MachineLearning #HVAC #PropertyTech #FacilityManagement #VOCSensors #HealthAndSafety #RealEstateTech #PredictiveMaintenance #Technology #FexingoBusiness #BusinessPodcast

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Landfill fires are notoriously hard to extinguish — they can smolder underground for weeks, releasing toxic plumes and costing millions to remediate. In this episode of Internet of Things with Fexingo, Lucas and Luna explore how a network of IoT sensors — measuring temperature, methane, and carbon monoxide — is now being deployed at large-scale landfills in California and Texas to detect subsurface combustion weeks before it breaches the surface. We focus on a specific pilot at the Sunshine Canyon landfill in Los Angeles County, where operators installed 200 wireless probes across a 200-acre site, and within the first six months, the system flagged three hot spots that traditional manual monitoring missed entirely. The episode also covers the economics: each sensor costs roughly 50 dollars, and the prevention savings from a single avoided fire can exceed 2 million dollars.

#IoT #LandfillFires #EnvironmentalMonitoring #WasteManagement #SensorTechnology #FirePrevention #MethaneDetection #IndustrialIoT #SmartCities #California #Texas #SunshineCanyon #SubsurfaceCombustion #Sustainability #RealTimeMonitoring #Business #FexingoBusiness #BusinessPodcast

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In this episode of Internet of Things with Fexingo, Lucas and Luna dive into structural health monitoring (SHM) — how wireless IoT sensors are catching hidden cracks and corrosion in bridges before they become catastrophes. They explore a real case: the 2023 failure of the Fern Hollow Bridge in Pittsburgh, which collapsed just hours after a visual inspection found nothing wrong. Lucas explains how accelerometers, strain gauges, and acoustic emission sensors create a continuous digital nervous system for aging infrastructure, and why the cost of sensor retrofits — roughly $50,000 per bridge — is a fraction of the cost of a single collapse. Luna presses on data overload and power challenges in remote spans. The episode also touches on how machine learning algorithms are now detecting micro-cracks weeks before visible signs appear. A practical, numbers-grounded look at how IoT is quietly making the bridges we drive over safer every day.

#StructuralHealthMonitoring #BridgeSafety #IoT #Infrastructure #CivilEngineering #WirelessSensors #Accelerometer #AcousticEmission #MachineLearning #FernHollowBridge #Pittsburgh #CorrosionDetection #PreventiveMaintenance #SmartCities #FexingoBusiness #BusinessPodcast #Technology #IndustrialIoT

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Warehouse rack collapses kill dozens of workers every year, but a new generation of IoT strain and vibration sensors is giving facility managers real-time structural warnings before disaster strikes. Lucas walks through the engineering behind these sensors — how they measure micro-deflections in steel uprights, detect loosened anchor bolts, and trigger automated safety lockdowns when load thresholds are crossed. Luna asks whether the technology is affordable for small warehouses, and Lucas shares a specific case: a Midwestern distribution centre that avoided a catastrophic collapse after a sensor flagged a crack in a base plate that human inspectors had missed. They also discuss how these sensors connect to existing warehouse management systems and why insurance companies are starting to offer premium discounts for facilities that install them. This episode is a concrete look at a hidden industrial safety problem that IoT is quietly solving.

#IoT #IndustrialIoT #WarehouseSafety #RackCollapse #StructuralMonitoring #StrainSensors #VibrationSensors #PredictiveMaintenance #IndustrialSafety #SmartWarehouse #LogisticsTech #SupplyChainTech #OccupationalSafety #SensorTechnology #IoTApplications #FexingoBusiness #BusinessPodcast #Technology

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Episode 115 of Internet of Things with Fexingo dives into predictive road maintenance. Lucas and Luna explore how embedded IoT sensors—strain gauges, accelerometers, and moisture probes—can detect subsurface pavement deterioration months before potholes appear. The episode focuses on a pilot program in Minnesota, where the state Department of Transportation deployed 200 sensor nodes along a stretch of I-35 in 2024. Early results showed a 60% reduction in emergency repairs and a 40% extension in pavement lifespan. Lucas breaks down the sensor array, the data pipeline, and the cost savings per mile. Luna pushes back on scalability challenges and privacy concerns around sensor data. The conversation highlights how proactive infrastructure monitoring could save U.S. taxpayers billions annually while reducing traffic disruptions.

#IoT #SmartCities #Infrastructure #PredictiveMaintenance #PavementSensors #RoadSafety #TechPodcast #InternetOfThings #Transportation #Innovation #PotholePrevention #CivilEngineering #DataAnalytics #MnDOT #AssetManagement #FexingoBusiness #BusinessPodcast #Technology

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore a surprising application of IoT: precision aquaculture. They dive into how fish farms—especially salmon operations in Norway—are using a network of underwater sensors to monitor oxygen levels, water temperature, and feed conversion in real time. The episode focuses on Cermaq's adoption of IoT-driven feeding systems that cut feed waste by 15 percent and reduced fish mortality by 20 percent. Lucas explains how sensor data is fed into machine learning models that predict appetite and disease outbreaks before they happen. Luna pushes back on cost barriers for smaller farms, and Lucas outlines how open-source sensor stacks are driving adoption. The conversation closes with a forward-looking question about whether IoT can make aquaculture as data-rich as precision agriculture. A must-listen for anyone interested in industrial IoT, food tech, or sustainable protein production.

#IoT #Aquaculture #PrecisionFarming #FishFarming #Salmon #Cermaq #UnderwaterSensors #MachineLearning #FeedOptimization #SustainableProtein #Norway #SeafoodTech #RealTimeMonitoring #OxygenSensors #IndustrialIoT #Technology #FexingoBusiness #BusinessPodcast

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensors are being deployed to detect breaks in underground utility lines—water mains, gas pipes, and electrical conduits—before they cause major disruptions. The hosts focus on a specific case: the 2025 deployment of acoustic and vibration sensors by a mid-sized U.S. water utility in Flint, Michigan, which reduced response time to water main breaks from an average of 8 hours to under 20 minutes. They discuss the sensor technology—piezoelectric accelerometers and hydrophones—the data transmission challenges (LoRaWAN vs. NB-IoT), and the cost savings for municipalities. The episode also touches on how similar systems are being adapted for gas and steam lines in dense urban areas like New York City. No prior knowledge of IoT assumed; listeners come away understanding why real-time underground monitoring is becoming a no-brainer for infrastructure management.

#IoT #UndergroundUtilityMonitoring #SmartInfrastructure #WaterMainBreaks #AcousticSensors #PiezoelectricAccelerometers #LoRaWAN #NB-IoT #FlintMichigan #UtilityManagement #PredictiveMaintenance #RealTimeMonitoring #SmartCity #IndustrialIoT #Technology #FexingoBusiness #BusinessPodcast

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In this episode of Internet of Things with Fexingo, Lucas and Luna dive into how IoT sensor networks are revolutionizing gas leak detection on offshore oil rigs. They explore a case study from the North Sea, where a rig operator deployed over 2,000 wireless methane sensors across its platform, cutting false alarms by 80 percent and reducing leak response times from hours to under 90 seconds. The hosts break down the technology behind electrochemical and infrared point sensors, how mesh networking ensures reliability in harsh environments, and why this approach is being adopted by major energy companies. They also touch on the economic and safety incentives driving the shift, including regulatory pressure from the Bureau of Safety and Environmental Enforcement and the potential savings from avoided shutdowns. A must-listen for anyone interested in industrial IoT, safety technology, or energy sector innovation.

#IoT #GasLeakDetection #OffshoreOilRigs #MethaneSensors #IndustrialIoT #SafetyTechnology #NorthSea #EnergySector #WirelessSensors #MeshNetworking #ElectrochemicalSensors #InfraredSensors #BSEE #PredictiveMaintenance #OilAndGas #Technology #FexingoBusiness #BusinessPodcast

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Episode 111 of Internet of Things with Fexingo explores how IoT sensors are preventing catastrophic overheating in data centers. Lucas and Luna break down a real-world case: a major cloud provider that deployed thousands of wireless temperature and humidity sensors across server aisles to detect hot spots and balance cooling loads dynamically. They discuss the specific sensor types—thermocouples, MEMS-based temperature sensors, and ultrasonic flow meters for cooling loops—and how edge processing catches anomalies like a failing fan or a blocked vent within seconds. The episode covers the business case: a 20 percent cut in cooling energy costs and a 90 percent reduction in thermal shutdown incidents. Listeners learn why traditional centralized monitoring fails and how distributed sensor mesh networks give operators granular control. A short no-ad supporter segment appears near the end.

#IoT #DataCenter #TemperatureSensors #EdgeComputing #PredictiveMaintenance #CoolingEfficiency #MEMS #Thermocouples #UltrasonicFlowMeters #CloudProvider #HotSpot #SensorMesh #EnergySavings #ThermalRunaway #FexingoBusiness #BusinessPodcast #Technology #ConnectedDevices

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