Technologies
Explore scalable IIoT and M2M technologies by the Consortium of Industrial IoT and M2M, empowering industries through intelligent automation.
Driving Industrial Transformation Through Connected Innovation
Industrial innovation depends on more than automation—it requires smart, scalable systems that connect machinery, data, and operations seamlessly. From predictive maintenance and real-time analytics to edge computing, digital twins, and secure M2M networks, today’s technologies are revolutionizing how industrial processes are managed, optimized, and scaled. These advancements enable manufacturers, logistics operators, energy providers, and other industries to improve safety, reduce costs, and increase operational agility.
At the forefront of this transformation is the Consortium of Industrial IoT and M2M, headquartered in Portland, OR. We are a collaborative alliance of companies dedicated to delivering reliable, next-generation IIoT and M2M technologies, products, and services. Our strong B2B footprint across North America is fueled by joint technology development, collaborative marketing and sales efforts, and a shared commitment to innovation and service excellence. Together, we provide industries with scalable, high-performance solutions that connect the physical and digital worlds.
Definitive Collection of Industrial IoT and M2M Technologies
Smart Sensors and Industrial Devices
Enable data collection and intelligent monitoring across machines, systems, and facilities.
- Temperature, Pressure, and Vibration Sensors: Monitor industrial machinery and environments for preventive maintenance and quality control.
- Gas and Chemical Sensors: Detect leaks and ensure compliance in manufacturing and processing plants.
- Proximity and Optical Sensors: Assist in safety systems and precision manufacturing.
Machine-to-Machine (M2M) Communication
Facilitates automated exchange of information between devices without human input.
- Cellular M2M (LTE/5G): Supports remote device connectivity in real-time, ideal for logistics and smart grid applications.
- Satellite M2M: Used in remote industrial locations where traditional networks are unavailable.
- Short-Range M2M (Bluetooth, Zigbee): Suitable for inter-device communication in localized settings.
Edge Computing and Intelligent Gateways
Process data locally for faster insights and efficient operations.
- Edge Gateways: Aggregate and preprocess data on-site before forwarding to the cloud.
- AI at the Edge: Enables real-time decision-making and anomaly detection close to the source.
Cloud and IIoT Platforms
Enable scalable data storage, analysis, and integration with enterprise systems.
- Cloud Analytics Platforms: Provide actionable insights from connected devices across operations.
- Industrial IoT Dashboards: Offer centralized control, visualization, and alert systems.
Industrial Communication Protocols
Ensure robust connectivity and interoperability across diverse equipment.
- Wired Protocols (Modbus, PROFINET, Ethernet/IP): Provide deterministic, high-speed data transfer in harsh industrial conditions.
- Wireless Protocols (LoRaWAN, NB-IoT, 5G): Offer flexible, long-range, and low-power communication ideal for remote and mobile assets.
Digital Twins and Simulation Technologies
Virtual models that mirror physical assets for real-time insights and forecasting.
- Digital Twins: Monitor equipment status and performance in real-time to optimize maintenance and productivity.
- Simulation Tools: Test and validate industrial processes virtually before real-world deployment.
Robotics and Autonomous Industrial Systems
Enhance accuracy, safety, and efficiency in repetitive or hazardous environments.
- Industrial Robots: Perform welding, assembling, and inspection with high precision.
- Autonomous Mobile Robots (AMRs): Navigate factory floors for material handling and inventory management.
Cybersecurity for Industrial IoT
Protect systems, devices, and data across connected networks.
- Industrial Firewalls and Secure Gateways: Block unauthorized access to sensitive systems.
- End-to-End Encryption and Authentication: Ensure data integrity and secure device identity.
Real-Time Location and Asset Tracking Systems
Track tools, parts, and personnel across large industrial spaces.
- RFID and BLE Tags: Monitor asset movement and inventory status.
- UWB and GPS-Based Systems: Offer high-accuracy positioning for mobile machinery and fleets.
Smart Energy Management
Monitor and optimize power usage to reduce costs and enhance sustainability.
- Smart Meters and Energy Dashboards: Track consumption and identify inefficiencies.
- Automated Load Control: Balances power usage based on production cycles and grid availability.
Cyber-Physical Systems (CPS)
Merge digital computing with physical machinery for synchronized industrial control.
- Embedded Controllers: Perform real-time logic for equipment control.
- Integrated Mechatronic Systems: Combine sensors, processors, and actuators in one streamlined system.
Predictive Maintenance and AI Analytics
Use machine learning to detect anomalies, reduce downtime, and improve asset longevity.
- Condition Monitoring Platforms: Continuously analyze sensor data to predict failures.
- AI Algorithms: Learn operational patterns to improve efficiency and flag risks early.
Looking to enhance your industrial operations with
cutting-edge IoT and M2M technologies?
Contact the Consortium of Industrial IoT and M2M today for collaboration, product support, or tailored solutions that fit your business.
let’s transform your industry together.