DewesoftRTEmbedded DAQ Software For Intelligence On The Edge

Why Process Data at the Edge?

Moving data processing from a central computer directly to the measurement device changes what a DAQ system can do. Instead of continuously sending all raw data to an external PC, DewesoftRT lets the device process, evaluate, store, and exchange data locally, right where the measurement takes place.

This is especially useful for standalone and distributed measurement systems, permanent monitoring installations, mobile testing, and applications where a dedicated PC would add unnecessary cost, complexity, or a potential point of failure.

With DewesoftRT, edge processing brings several practical benefits:

• Standalone Operation: Once configured, the measurement device can acquire, process, and store data independently without a permanently connected computer. Connect DewesoftX when you need it, or let the device operate autonomously.

• Process Data Close to the Source: Perform calculations and signal processing directly on the measurement device. Formula math, statistics, filtering, strain calculations, and other processing can run locally without sending raw data to a computer first.

• Reduce Data Transfer: Process high-speed measurement data locally and transmit only the information another system needs. This reduces network traffic while raw data can still be stored or transmitted when required.

• React to Events Locally: Evaluate measurement conditions directly on the device to trigger recording, detect limits, generate alarms, or activate outputs. Decisions can be made locally without relying on communication with a remote computer.

• Build Distributed Measurement Systems: Deploy intelligent measurement nodes close to sensors and let each device acquire and process its own data. Raw and processed data can then be shared with DewesoftX, SCADA systems, cloud platforms, or custom software.

• Store Data on the Device: Record measurement data directly on the device, including triggered recordings. Measurements can continue even when a network connection or external computer is unavailable.

On-Device Signal Processing

Turn raw measurement signals into meaningful results directly on the measurement device. DewesoftRT processes data in real time, allowing calculations and signal processing to run continuously without relying on an external computer.

Build your processing chain using ready-to-use function blocks for filtering, calculations, statistics, alarms, and other measurement tasks. Processed results can be used for further calculations, stored directly on the device, or shared with other systems.

Create Custom Calculations

Use Formula Math to combine measurement channels, apply mathematical functions, and create application-specific calculations. Calculated results are available alongside the original measurement channels for further processing, storage, or transmission.

Filter and Analyze Signals

Process measurement signals directly at the source using embedded IIR and FIR filters, statistics such as minimum, maximum, RMS, and average, integration and derivation, decimation, strain calculations, and other processing functions. 

Create Measurement Logic

Use alarms and measurement conditions to make the system react to acquired or calculated data. Define trigger-like conditions and link measurement logic directly to digital outputs for autonomous operation. 

Extend Processing for Your Application

DewesoftRT uses a modular function-block architecture that can extend on-device processing for specific measurement applications, from general signal processing to specialized calculations such as power analysis.

Open and Flexible Connectivity

DewesoftRT can connect your measurement system directly to industrial automation, vehicles, aerospace systems, databases, cloud platforms, and custom applications. 

DewesoftRT supports multiple industry-standard communication protocols, allowing the measurement device to exchange raw and processed data with external systems without relying on an intermediate computer.

Depending on the protocol, DewesoftRT can publish measurement values, receive data and commands, exchange calculated results, or stream measurement data to other systems.

• Industrial automation: Integrate with machines, PLCs, SCADA systems, and industrial equipment using OPC UA, Modbus TCP/RTU, EtherCAT, and analog or digital I/O.

• Automotive and railway: Connect with vehicle networks, ECUs, test benches, and railway systems using CAN, CAN FD, XCP, ASAM CMP, and TRDP.

• Aerospace: Record and stream measurement data using IRIG 106 Chapter 10 for integration with aerospace data acquisition, recording, and telemetry systems.

• IoT and cloud: Use MQTT to publish and subscribe to measurement data for integration with IoT, cloud, and third-party platforms.

• Open integration: Use openDAQ to access measurement data from DewesoftX, DewesoftM, or custom applications. Raw and processed measurement data can be made available to other software through an open and vendor-independent interface.

With processing, storage, and communication running directly on the device, DewesoftRT turns the DAQ into an intelligent measurement node that connects sensors and signals with machines, vehicles, networks, and software platforms.

Typical Applications

DewesoftRT is designed for measurement applications where data needs to be acquired, processed, stored, and exchanged independently at the edge. From portable data loggers to distributed monitoring systems, DewesoftRT brings measurement intelligence directly to where the data is generated.

• Standalone and Mobile Data Acquisition: Run complete measurement applications without a permanently connected computer. Ideal for field testing, service measurements, portable systems, and unattended data recording.

• Durability and Road Load Data Acquisition: Use DewesoftRT as an autonomous multi-channel data logger for durability, road load, and proving-ground testing. Record synchronized strain gauges, accelerometers, displacement sensors, forces, pressures, temperatures, CAN/CAN FD, GNSS, and other signals directly on the device.

• Machine Condition Monitoring and Predictive Maintenance: Continuously monitor motors, pumps, turbines, gearboxes, generators, and other critical assets. Process vibration and other machine parameters directly at the edge to calculate condition indicators, detect developing faults, and generate alarms or events. Distributed DewesoftRT devices can monitor assets across an entire production plant while transmitting only relevant results and selected measurement data to central monitoring systems.

• Machine Monitoring and Protection: Monitor critical rotating machinery such as hydro turbines, generators, compressors, and large industrial machines. Evaluate vibration and operating conditions locally to detect potentially dangerous events, trigger alarms, and provide information to machine protection systems.

• Structural and Infrastructure Monitoring: Continuously monitor bridges, buildings, wind turbines, and other critical infrastructure. Process data locally, capture important events, and transfer relevant results to centralized systems for structural health assessment and predictive maintenance. Continuous monitoring provides insight into structural behavior, deterioration trends, and significant events over time. 

• Automotive and Railway Testing: Acquire and process analog signals, CAN, CAN FD, GNSS, and other vehicle data autonomously during road, track, and proving-ground testing. In railway applications, measurement data and calculated results can also be exchanged with onboard systems using supported vehicle communication protocols.

• Aerospace Recording and Telemetry: Acquire, process, record, and stream aerospace measurement data directly on the device. IRIG 106 Chapter 10 enables integration with aerospace recording and telemetry systems, while edge processing can reduce the amount of data that needs to be transmitted.

• Industrial Automation and End-of-Line Testing: Integrate high-quality measurement data directly into machines, test benches, and production lines. Perform calculations and evaluate measurement conditions locally, generate pass/fail results, trigger alarms or outputs, and exchange data with PLCs, SCADA systems, and other industrial software.