Data Analytics

The analytics solution goes past simple data collection: analysis runs in real time on the device itself, and historical logging covers multiple sources at once, CAN networks and the RS-485 interfaces of a generator among them. OEMs, asset owners and fleet managers get a deep view of how equipment actually performs, and with it the means to optimise operations and extend asset life.

Capture and analysis run at the highest frequency available, which is what makes the view of asset behaviour granular rather than approximate. The decisions that follow — on efficiency, on fuel consumption, on component wear — rest on data instead of estimation.

Real-time edge analytics

• The device processes and analyses high-frequency data on board.
• The behaviour of the electronic components inside an asset evaluated against optimal performance, so deviations surface as they happen.
• Operator interaction with the equipment monitored, which is where inefficiencies and room for improvement usually appear.
• Early signs of a malfunctioning component detected in time for preventive action, before the failure occurs.

High-resolution logging and replay

• Full CAN and RS-485 network logs stored and retrievable, together with every I/O signal, the analog inputs included, GPS and IMU, at millisecond precision.
• Recorded data replays exactly as it was generated, which is what makes forensic-level analysis of an asset’s operation possible at all.
• Post-event investigation to explain an anomaly, reconstruct the operational scenario and validate how the system performed.
• Operational inefficiencies identified, and real-world scenarios drawn from the history used to train personnel.

Predictive maintenance and failure prevention

• Trend analysis to detect the patterns that precede a component failure.
• Less unplanned downtime, because failure-prone behaviour is identified in advance.
• Condition-based maintenance instead of a fixed schedule, which optimises service intervals and reduces maintenance that was never needed.

Operational efficiency and cost

• Analysis of driver behaviour in fleet operations surfaces the practices that waste fuel: excessive idling, harsh acceleration, improper gear usage and the rest.
• Asset utilisation trends monitored, for efficiency and for lower wear.
• A smaller carbon footprint through fuel optimisation and emission control.
• Fuel consumption strategies refined by identifying the factors that drive excessive use.

Edge-based control

• Custom control logic grows out of the analysed data, for safety and asset protection.
• Real-time alerts and automated responses running on the device itself, to prevent damage and reinforce operational security.
• Edge deployments that regulate equipment operation automatically under defined conditions, protecting the asset and the operator alike.

Combined with remote connectivity over RP1210, the same solution allows ECU parameters to be adjusted in real time from proprietary OEM software. Configuration is then tuned to the conditions an asset actually works in, rather than the conditions it was specified for.

Strategic benefits

For fleet operators and end customers

Operational cost falls under detailed fuel-consumption and efficiency analysis. Safety improves when operators are monitored and trained against real usage patterns, asset life extends once misuse and excessive mechanical stress are detected, and maintenance strategy gets smarter — fewer unexpected breakdowns, lower service expense.

For dealers and service providers

Support improves when an operational issue can be diagnosed remotely from stored history. Customers get help implementing optimisation strategies, and analytics becomes a value-added offer that opens new service revenue.

For OEMs and asset manufacturers

Product reliability improves once the behaviour of electronic components under real-world conditions is measurable. Real operational data feeds R&D and engineering, and visibility into how assets are used in the field points directly at the features and efficiencies worth refining.

Why emd

Edge computing runs high-speed analytics on the device, so insight arrives in real time. Storage and replay capture every detail at millisecond precision, for analysis at forensic level. Trend-based detection turns maintenance predictive and preventive, intelligent analytics lowers cost, and edge control deployment is customisable — tailored automation for safety and asset protection.