Raw Event

At a defined frequency, data from your LIM device is sent to our platform via the API. This transmission ensures that we consistently receive up-to-date information about your machinery's performance and status. The raw data includes the following detailed elements:

• Timestamp: This is the precise time at which the data was collected, allowing for accurate tracking and analysis of machine performance over time.
• Device: The serial number of the device connected to the machine. This identifier is crucial for tracking the specific equipment in use and ensuring data accuracy.
• Machine: The machine's name as defined on the machine management page. This helps in identifying the specific machine among potentially many in your fleet.
• Operator: The operator logged in at the time of data collection. Knowing who was operating the machine at any given time can be vital for accountability and performance assessments.
• Site: The site where the machine was located during data collection. This information is essential for understanding the environmental conditions and logistical considerations impacting machine performance.
• Location: The exact coordinates of the machine. This geolocation data allows for precise mapping and monitoring of machine deployment and movement.
• Faults: A list of faults present at that time. Identifying faults as they occur is critical for timely maintenance and minimizing downtime.
• Drilled Length: The total length drilled by your machine since the beginning or its last reset. This metric is important for assessing the machine's workload and productivity.
• Engine Hours: The total engine hours of your machine. This cumulative measure helps in planning maintenance schedules and evaluating machine usage.
• Hammer Hours: The total hours your machine has drilled. This specific metric is useful for understanding the wear and tear on drilling components.
• Fuel Consumption Total: The total fuel consumed by your machine since the beginning. Monitoring fuel consumption is key for cost management and efficiency analysis.
• Engine Oil Pressure: The oil pressure recorded at that time. Maintaining optimal oil pressure is crucial for engine health and performance.
• Hydraulic Pressure: The hydraulic pressure recorded. This data is vital for ensuring the hydraulic systems are functioning correctly and efficiently.
• Engine Speed: The speed, in revolutions per minute (rpm), of your machine. Engine speed is a fundamental parameter for assessing the operational status and efficiency of the machine.

By collecting and analyzing this comprehensive set of data, we can provide valuable insights into the performance and maintenance needs of your machinery, helping you optimize operations and reduce costs.

Some examples