DEV Community: Bin Johnson

Building an IoT Architecture for Acoustic Condition Monitoring

Bin Johnson — Thu, 27 Aug 2026 05:26:45 +0000

Building an IoT Architecture for Acoustic Condition Monitoring

Acoustic condition monitoring combines sensing, signal processing, connectivity, and analytics.

A basic architecture can include several layers.

Acoustic Sensors

Sensors capture acoustic or ultrasonic signals from equipment and physical environments.

Signal Conditioning

Signal-conditioning hardware prepares sensor signals for reliable acquisition and analysis.

Data Acquisition

DAQ systems convert incoming signals into usable digital data.

Edge Processing

Edge processors can analyze data close to the equipment and reduce the need to send every raw signal to the cloud.

IoT Connectivity

Gateways can connect field devices with cloud platforms, SCADA systems, or other enterprise applications.

Analytics

Signal-processing and analytics tools can identify patterns and potential anomalies.

Maintenance Workflow

Relevant findings can support inspection, troubleshooting, and maintenance decisions.

Architecture

Acoustic Sensor → Conditioning → DAQ → Edge → IoT → Analytics → Maintenance

The important part is designing the system around the actual monitoring objective—not simply collecting as much acoustic data as possible.

🌐 https://acoustictestingpro.com/

AcousticTesting #IoT #UltrasonicTesting #ConditionMonitoring #PredictiveMaintenance

Building an AIoT Architecture for Predictive Maintenance

Bin Johnson — Thu, 27 Aug 2026 04:48:53 +0000

Building an AIoT Architecture for Predictive Maintenance

Predictive maintenance requires a connection between physical equipment and intelligent software.

A typical AIoT architecture can contain several layers.

Sensors

Industrial sensors collect information about equipment condition and operating behavior.

Connectivity

IoT gateways and networks transfer data from physical equipment into digital systems.

Data Pipeline

Machine, production, and maintenance data can be collected and organized for analysis.

Edge Processing

Edge systems can process relevant information close to the equipment when low-latency analysis is required.

AI & Analytics

Models can identify abnormal patterns, equipment degradation, and other signals associated with potential maintenance requirements.

Maintenance Intelligence

Insights can be connected to maintenance planning and operational workflows.

The architecture can be summarized as:

Equipment → Sensors → IoT → Data → AI → Prediction → Maintenance Decision

The real value comes from connecting equipment condition with broader operational context.

🌐 https://apertureventurestudio.com/

AIoT #PredictiveMaintenance #IoT #IndustrialAI #DevOps

Building a Digital Access-Governance Architecture for Construction

Bin Johnson — Wed, 26 Aug 2026 13:46:45 +0000

Building a Digital Access-Governance Architecture for Construction

Construction sites are dynamic environments.

Access points, work zones, contractors, and workforce permissions can change throughout the project lifecycle.

A digital access-governance architecture can connect these moving parts.

Workforce Identity

Workers can be associated with digital credentials through technologies such as RFID, BLE, NFC, QR, or biometric verification.

Credential Management

The system can maintain contractor credentials, temporary passes, and authorization information.

Access Control

Smart gates, turnstiles, readers, and other access infrastructure can enforce entry policies.

Restricted Zones

Access rules can be applied to specific work areas based on authorization and project requirements.

Visitor & Delivery Management

Visitors and material-delivery personnel can be incorporated into controlled access workflows.

Analytics

Access events can be analyzed to provide broader workforce and site visibility.

The architecture becomes:

Identity → Credentials → Authorization → Access Point → Event Data → Analytics

For complex construction environments, the objective is to create governed access rather than simply recorded access.

🌐 https://commconai.com/

ConstructionTech #AccessGovernance #IoT #RFID #ConstructionAI

Building an AIoT Architecture for Access Control

Bin Johnson — Wed, 26 Aug 2026 13:28:47 +0000

Building an AIoT Architecture for Access Control

Modern physical-security systems can generate information from multiple sources.

The challenge is connecting these sources into a useful operational picture.

Identity

RFID, BLE credentials, biometrics, or other technologies can associate an individual with an access event.

Access Control

Connected doors, gates, and other access points generate digital events.

Location

Location technologies can provide additional context about where people or assets are operating.

IoT Sensors

Environmental and operational sensors can add physical-world context.

Connectivity

Gateways and networks transfer information from field devices to digital platforms.

Data Platform

The system can bring together:

Identity + Access + Location + Sensor Data + Time

Analytics

AI and analytics can help identify patterns within the connected information.

A simplified architecture is:

Identity → Access → Location → IoT → Data → Analytics → Security Intelligence

The objective is not to replace established security procedures.

It's to create a more connected information layer for physical environments.

🌐 https://apertureventurestudio.com/

AIoT #AccessControl #PhysicalSecurity #IndustrialIoT #DataEngineering

Building a Workforce Intelligence Architecture for Construction Sites

Bin Johnson — Mon, 24 Aug 2026 16:14:02 +0000

Construction sites are complex physical environments where people, equipment, materials, and schedules interact every day.

A workforce intelligence platform can help connect these different operational layers.

Workforce Identification

Digital identification systems can provide information about workers entering and operating within a site.

Site Access Data

Access systems can provide visibility into site entry and movement events.

Location & Activity Data

Connected technologies can help create better understanding of workforce activity across different zones.

Data Integration

Information from multiple sources can be combined into a unified operational view.

Analytics Layer

Analytics can help identify patterns and provide useful insights.

Construction Applications

Dashboards and applications can support project teams with better operational visibility.

Architecture:

Worker → Access → Site Data → Integration → Analytics → Construction Intelligence

The objective is creating a connected information layer for modern construction operations.

🌐 https://commconai.com/

ConstructionTech #ConTech #WorkforceIntelligence #DigitalConstruction

Building an AIoT Architecture for Asset Tracking

Bin Johnson — Mon, 24 Aug 2026 15:53:33 +0000

Building an AIoT Architecture for Asset Tracking

Asset tracking becomes more useful when location data is connected with other operational information.

A basic system may answer:

“Where is the asset?”

An AIoT architecture can go further by connecting asset identity, location, IoT infrastructure, and operational data.

Asset Identification

RFID, BLE, sensors, or other technologies can provide a digital identity for physical assets.

Location

Location technologies can provide information about where an asset is within a defined environment.

IoT Infrastructure

Connected devices and gateways collect and transmit physical-world data.

Data Pipeline

Data from different sources can be collected and organized into a common platform.

AI & Analytics

Analytics can help turn asset data into operational insights.

Applications

Dashboards and applications can make the information useful to operations teams.

The architecture can be summarized as:

Asset → Identify → Locate → Connect → Analyze → Operational Insight

This approach can support the broader goal of asset visibility, rather than treating tracking as an isolated function.

🌐 https://apertureventurestudio.com/

AIoT #AssetTracking #IoT #IndustrialIoT #SoftwareArchitecture

Building an AIoT Architecture for Workforce Safety

Bin Johnson — Fri, 21 Aug 2026 06:33:26 +0000

Building an AIoT Architecture for Workforce Safety

Workforce safety in industrial environments can involve more than monitoring individual workers.

It can require understanding the relationship between people, locations, assets, equipment, and physical conditions.

AIoT can connect these different layers.

Workforce Identification

RFID, BLE, wearables, credentials, or other technologies can provide digital identification depending on the use case.

Location

Location technologies can provide information about where workers are operating within a defined environment.

Access Control

Access systems can provide information about movement through controlled areas.

Environmental Sensors

IoT sensors can monitor relevant environmental conditions.

Connectivity

Gateways and networks connect field devices with edge or cloud platforms.

Data Platform

The system can bring together:

Identity + Location + Access + Sensors + Time + Operational Context

Analytics

Analytics can help identify patterns and events that may require attention.

The simplified architecture becomes:

Worker → Identification → Location/Sensors → Connectivity → Data → Analytics → Safety Insight

The technology should support defined safety objectives and appropriate organizational policies.

The goal is to turn physical-world information into useful safety intelligence.

🌐 https://apertureventurestudio.com/

AIoT #IoT #WorkplaceSafety #IndustrialIoT #WorkerSafety

Understanding a Guided Wave Ultrasonic Testing Technology Stack

Bin Johnson — Fri, 21 Aug 2026 06:16:53 +0000

Understanding a Guided Wave Ultrasonic Testing Technology Stack

Guided Wave Ultrasonic Testing uses ultrasonic guided waves that travel along a structure.

A modern GWUT workflow involves several components.

Transducer System

A ring or array of transducers can be positioned around a suitable structure to generate and receive guided waves.

Guided Wave Generation

The system generates controlled ultrasonic waves that travel along the structure.

Signal Reception

Reflections from changes in the structure can be detected by the system.

Data Acquisition

The inspection equipment captures the returning signals for analysis.

Signal Analysis

The collected data can be analyzed to identify areas that may require further investigation.

Location Estimation

The system can help estimate the position of a detected indication relative to the inspection location.

Follow-Up Inspection

Potential indications can then be investigated using an appropriate detailed NDT method.

The workflow can be summarized as:

Transducers → Guided Waves → Signal Reception → Data Acquisition → Analysis → Screening → Follow-Up Inspection

The key idea is that GWUT can provide long-range screening, while detailed inspection methods can be used to characterize specific areas.

🌐 https://acoustictestingpro.com/

GWUT #UltrasonicTesting #NDT #PipelineInspection #IndustrialTechnology

Building an AIoT Industrial Intelligence Platform

Bin Johnson — Thu, 20 Aug 2026 06:55:48 +0000

Building an AIoT Industrial Intelligence Platform

Industrial environments produce data from many different sources.

Sensors generate signals.

Tracking systems generate location data.

Machines generate operational information.

Business applications generate digital records.

The challenge is connecting these sources into a useful intelligence layer.

IoT Infrastructure

Sensors, devices, gateways, and connectivity systems connect physical assets to digital platforms.

Data Pipelines

Data pipelines move and organize information from different sources.

Data Platform

A centralized data layer can provide a common foundation for multiple applications.

AI Models

AI models can analyze operational data and identify patterns or other useful insights.

Application Modules

Different industrial use cases can consume the intelligence layer through dedicated applications.

Operational Workflows

The final objective is to turn insights into actions within real industrial environments.

A simplified architecture is:

Physical Assets → IoT → Data Pipelines → AI → Applications → Operations

This architecture can support different AIoT use cases without requiring every application to build its own disconnected infrastructure.

The key idea is not simply more IoT or more AI.

It's the combination of both to create intelligence for the physical world.

🌐 https://apertureventurestudio.com/

AIoT #IndustrialIoT #ArtificialIntelligence #DataEngineering #SmartIndustry

Understanding a Connected PAUT Technology Stack

Bin Johnson — Thu, 20 Aug 2026 06:38:47 +0000

Understanding a Connected PAUT Technology Stack

Phased Array Ultrasonic Testing combines ultrasonic inspection with electronically controlled arrays.

But a modern PAUT workflow can involve much more than the probe itself.

Phased Array Probe

A PAUT probe contains multiple elements that can be individually controlled.

Instrument

The instrument controls the array elements and manages transmission and reception of ultrasonic signals.

Beamforming

Electronic control of the elements can allow the ultrasonic beam to be steered and focused according to the inspection configuration.

Data Acquisition

The inspection system captures the resulting ultrasonic information digitally.

Visualization

PAUT data can be presented through different visualization methods to help inspectors evaluate the inspection results.

Data Storage

Digital inspection information can be stored for review and traceability.

Reporting

Inspection results can be incorporated into structured digital reports.

A simplified workflow is:

PAUT Probe → Instrument → Beamforming → Data Acquisition → Visualization → Analysis → Report

The technology becomes even more valuable when inspection data can be integrated into broader digital inspection workflows.

🌐 https://acoustictestingpro.com/

PAUT #UltrasonicTesting #NDT #IndustrialTechnology #Inspection

Building an AIoT Architecture for Smart Access Control

Bin Johnson — Wed, 19 Aug 2026 05:18:01 +0000

Building an AIoT Architecture for Smart Access Control

Access control systems traditionally focus on a simple question:

Who is allowed to enter?

AIoT can expand that model by connecting access events with additional physical-world data.

Identity

RFID, BLE credentials, biometrics, or other technologies can associate an access event with a person or credential.

Access Points

Connected doors, gates, turnstiles, and other access points generate event data.

Location

Location technologies can provide additional context about where people or assets are operating.

Sensors

IoT sensors can provide environmental or operational information around the access event.

Connectivity

Gateways and networks connect field devices to edge or cloud platforms.

Data Platform

The system can combine:

Identity + Access + Location + Time + Context

into a centralized data layer.

Analytics

Analytics and AI can help identify patterns or unusual combinations of events.

The architecture becomes:

Identity → Access Event → Sensors/Location → Connectivity → Data → Analytics → Action

The opportunity is to move from isolated door-access records toward connected physical-security intelligence.

🌐 https://apertureventurestudio.com/

AIoT #IoT #AccessControl #PhysicalSecurity #IndustrialIoT

Building an IoT + AI Architecture for Construction Schedule Visibility

Bin Johnson — Wed, 19 Aug 2026 05:04:44 +0000

Building an IoT + AI Architecture for Construction Schedule Visibility

Construction schedules are usually managed digitally.

But the events that affect those schedules happen in the physical world.

A crew waits.

Equipment becomes unavailable.

Materials arrive late.

An area becomes inaccessible.

The challenge is connecting these physical events with project intelligence.

Workforce Data

Connected workforce systems can provide information about presence, movement, and activity.

Equipment Data

Equipment tracking and utilization data can provide information about availability and activity.

Site Access

Access systems can provide information about movement through controlled areas.

Material & Asset Data

Connected inventory and asset systems can provide additional operational context.

IoT Connectivity

Gateways can connect field devices and sensors with edge or cloud platforms.

Project Data

Schedule and project-management information provides the planned baseline.

Analytics & AI

Analytics can compare operational events with planned activities and highlight patterns that may deserve attention.

The architecture can look like:

Physical Site → Sensors/Systems → Connectivity → Data Platform → Analytics → Project Intelligence

The objective isn't to replace project managers.

It's to give them better visibility into the physical events that can influence project schedules.

🌐 https://commconai.com/

IoT #ConstructionAI #ConTech #ConstructionTechnology #ProjectManagement