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 IoT sensors and vehicle-to-everything (V2X) communication are preventing collisions between haul trucks and light vehicles in open-pit mines. They focus on a specific deployment at a Rio Tinto iron ore mine in Western Australia, where over 200 haul trucks and 500 light vehicles are now equipped with proximity detection and automatic braking systems. The discussion covers the technology stack — including GPS, radar, and mesh radio networks — and how real-time data fusion reduces the risk of 'blind spot' accidents that have historically caused fatalities. Lucas explains the cost-benefit math: the sensors cost roughly $8,000 per vehicle, but a single haul truck collision can cost $2 million in downtime alone. Luna raises questions about false alarms and driver fatigue, leading to a broader conversation about how IoT is reshaping safety culture in heavy industries. The episode avoids prior angles by focusing on mining, a sector not yet covered, and drilling into a specific collision-avoidance use case with real numbers.

#IoT #MiningSafety #VehicleCollision #V2X #ProximityDetection #AutomaticBraking #RioTinto #OpenPitMine #GPS #Radar #MeshNetwork #IndustrialIoT #FexingoBusiness #BusinessPodcast #Technology #SafetyTech #HaulTruck #SensorTechnology

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Episode 60 of Internet of Things with Fexingo: Lucas and Luna dive into how smart sewer sensors are preventing raw sewage overflows in cities like Cincinnati and South Bend. They explore the specific technology—ultrasonic level sensors and AI-driven predictive models—that reduced combined sewer overflows by 23% in one pilot. The episode unpacks the $1.2 billion federal investment in smart water infrastructure, the role of companies like Suez and Xylem, and why this matters for public health and urban sustainability. A concrete look at how IoT is quietly fixing one of the most overlooked infrastructure problems.

#IoT #SmartSewers #CombinedSewerOverflow #Infrastructure #UrbanTech #WaterQuality #PredictiveMaintenance #Cincinnati #SouthBend #Suez #Xylem #EnvironmentalSensors #UltrasonicSensor #PublicHealth #SmartCity #FexingoBusiness #BusinessPodcast #Technology

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In this episode of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensor networks are being deployed on dairy farms to detect and prevent methane leaks from manure lagoons and digesters. They focus on a real-world pilot at a 2,000-cow farm in Wisconsin, where a combination of methane, hydrogen sulfide, and wind sensors reduced undetected leaks by 73 percent in the first year. The hosts discuss the specific sensor types used, the data integration challenge, and why this matters for both climate goals and farm safety. They also touch on how similar technology is being adapted for landfills and natural gas infrastructure. The episode closes with a reflection on the regulatory push expected in 2027 and what listeners should watch for.

#IoT #MethaneDetection #DairyFarming #Wisconsin #SensorNetworks #ClimateTech #ManureLagoon #AnaerobicDigester #HydrogenSulfide #WindSensor #FarmSafety #EmissionsMonitoring #AgTech #IndustrialIoT #Technology #ConnectedDevices #FexingoBusiness #BusinessPodcast

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This episode of Internet of Things with Fexingo explores how wireless vibration and temperature sensors are being retrofitted onto gym equipment like treadmills, ellipticals, and weight stacks to predict mechanical failures before they cause injuries. Lucas and Luna focus on a pilot program at a major fitness chain — 200 locations across the U.S. — where IoT nodes on treadmill motors and cables reduced unplanned maintenance by 40% and caught three imminent cable-snap events in the first six months. The hosts break down the sensor types used, the threshold analytics that flag danger, and the cost-benefit math that makes retrofitting cheaper than replacing whole machines. They also touch on why this matters for liability insurance premiums and member retention. No prior episode covered fitness equipment. The tone is specific and grounded in real numbers.

#GymEquipmentIoT #PredictiveMaintenance #FitnessTech #IndustrialIoT #VibrationSensors #TemperatureSensors #TreadmillSafety #CableSnapDetection #RetrofitSensors #MaintenanceCosts #LiabilityInsurance #MemberSafety #FitnessChain #WirelessIoT #EdgeAnalytics #IoTDeployment #BusinessPodcast #FexingoBusiness

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In episode 57 of Internet of Things with Fexingo, Lucas and Luna explore how IoT sensor networks are transforming pest management in food storage facilities. They focus on a specific case: a major grain storage operator in the Midwest that deployed vibration sensors and temperature-humidity nodes across 200 silos. The system uses machine learning to detect rodent gnawing patterns and insect heat signatures weeks before visible infestation. Lucas explains how the sensors reduced pesticide use by 70 percent and cut grain losses from pests by 85 percent in the first year. The conversation covers the sensor technology, the data pipeline, and the economic return on investment — roughly $2 million saved annually on a $400,000 system. Luna asks about false positives, scalability for smaller warehouses, and whether the same approach could work for urban food banks. The episode also touches on how this fits into broader precision agriculture trends and regulatory pressure from the FDA to reduce chemical fumigants.

#IoT #PestDetection #FoodWarehouses #GrainStorage #SensorNetworks #MachineLearning #PrecisionAgriculture #PestManagement #FumigationAlternatives #FoodSafety #FDA #Technology #IndustrialIoT #Sustainability #RodentDetection #InfestationPrevention #FexingoBusiness #BusinessPodcast

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In this episode, Lucas and Luna explore a surprising application of IoT: keeping school buses safe. They dive into how a fleet in Montgomery County, Maryland, deployed over 1,200 sensor modules to monitor tire pressure, brake temperature, engine vibration, and driver behavior. The system flagged 37 critical faults in its first month, preventing potential breakdowns and collisions. They also discuss the broader implications for the 480,000 school buses operating daily across the US, and the quiet revolution in predictive maintenance for public transport. No ads, just smart tech talk.

#IoT #SchoolBusSafety #PredictiveMaintenance #FleetManagement #ConnectedDevices #IndustrialIoT #PublicTransport #SafetyTech #MontgomeryCounty #Maryland #TirePressureMonitoring #DriverBehavior #VibrationAnalysis #BrakeTemperature #FaultDetection #Technology #FexingoBusiness #BusinessPodcast

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Landfills are the third-largest source of human-caused methane emissions in the US, and when that gas builds up, it can explode. In this episode, Lucas and Luna explore how IoT methane sensors are being deployed at municipal landfills to detect gas leaks early, prevent fires, and even capture methane for energy. They look at a real case: the 2024 explosion at a landfill in Ohio that injured three workers, and how a startup called SENSIT Technologies is now selling wireless sensor networks that give landfill operators real-time readings. The hosts break down the tech—catalytic bead sensors versus infrared, how often they need calibration, and why most landfills still rely on manual weekly checks despite the risk. They also touch on the economics: a single sensor node costs about $1,200, but a single explosion can cost millions in cleanup and liability. By the end, you'll understand why the EPA is pushing for continuous monitoring and how IoT is making the world's trash piles a little less dangerous.

#IoT #MethaneSensors #LandfillSafety #EnvironmentalIoT #IndustrialIoT #MethaneDetection #SENSITTechnologies #EPA #WasteManagement #GasMonitoring #ExplosionPrevention #RenewableEnergy #LandfillGas #WirelessSensors #Technology #Business #FexingoBusiness #BusinessPodcast

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Wildfire season is getting worse, and power lines are often the spark. This episode zooms in on a specific case: Pacific Gas & Electric's deployment of high-resolution IoT sensors across 25,000 miles of transmission infrastructure in California. Lucas and Luna break down how these grid-mounted sensors—accelerometers, temperature probes, and humidity detectors—feed data into a machine-learning model that can predict line sag, vegetation contact, and conductor temperature in real time. They discuss the hardware cost (roughly $2,000 per sensor node), the data transmission challenge (edge computing vs. cloud), and why the utility industry is suddenly spending billions on sensor networks it ignored for decades. No vague climate talk; just the engineering and economics of stopping a fire before it starts.

#IoT #WildfirePrevention #SmartGrid #PacificGasAndElectric #MachineLearning #EdgeComputing #CaliforniaWildfires #UtilityInfrastructure #SensorNetworks #PredictiveMaintenance #PowerLines #ClimateAdaptation #IndustrialIoT #Technology #Infrastructure #FexingoBusiness #BusinessPodcast #InternetOfThings

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Lucas and Luna dive into the surprising world of IoT-powered retail loss prevention. They explore how a regional grocery chain cut theft by 22% using Ceptology's sensor-based system — no cameras, no AI facial recognition, just pressure sensors, RFID tags, and smart shelves. Lucas explains the technology behind 'scan-and-go' friction zones and how false-accusation liability actually dropped. Luna questions whether this is just a stepping stone to more invasive surveillance. The episode walks through a specific deployment at 14 Schnucks locations in St. Louis, including the cost ($1,200 per store per month) and the 9-month payback period. A grounded look at how physical sensors are quietly reshaping retail security.

#IoT #RetailTheft #LossPrevention #SmartSensors #Ceptology #Schnucks #RFID #SmartShelves #RetailTech #Privacy #SensorNetworks #ConnectedDevices #IndustrialIoT #Technology #FexingoBusiness #BusinessPodcast #IoTWithFexingo #Podcast

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Every year, dozens of farm workers are killed in grain bin entrapments—suffocating under thousands of bushels of corn or soybeans. On this episode of Internet of Things with Fexingo, Lucas and Luna explore how a network of IoT temperature, moisture, and carbon dioxide sensors can detect the early signs of grain spoilage that leads to dangerous crusting and bridging. They walk through a real deployment at a 500,000-bushel cooperative in central Illinois, where retrofitted wireless sensor nodes feed data into a machine learning model that flags bins at risk of forming clumps. The system doesn't just prevent spoilage—it saves lives by giving farmers a five- to seven-day warning before conditions become hazardous enough to require entry. Lucas and Luna discuss the physics of grain storage, the economics of retrofitting older bins, and why the biggest adoption barrier isn't technology—it's convincing farmers that a digital readout is more reliable than a manual probe.

#IoT #AgricultureTech #GrainBinSafety #FarmSafety #SensorNetworks #IndustrialIoT #AgTech #PrecisionAgriculture #MachineLearning #WirelessSensors #CO2Monitoring #TemperatureSensors #MoistureSensors #GrainStorage #WorkerSafety #IllinoisFarming #FoodSupplyChain #FexingoBusiness

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