A key role for which some sensors have been developed is to be used in many applications that can be life-critical such as with fire. This article is about a number of experimental studies aimed at exploring and identifying sensors opportunities to detect gases emitting on a mining vehicle prior a fire is a fact. The conducted tests showed that some sensors have the potential to detect e.g. oil mist caused by broken hydraulic oil hoses and other hydrocarbons emitting on a mining vehicle before a fire is a fact. Though with some challenges relating to the distance between the sensor and emitting source. Another challenges has to do with data gathering. Digitization and online monitoring of data being gathered 24/7 has given rise to several opportunities for the mining industry as for example online supervision of the daily production but also challenges like increased number of networked users and demand for real-time communication and requirements on minimal latency. Minimal latency is also a prerequisite succeeding with switching to a fully autonomous operation. The mining operations can be described as a hazard and dirty environment with a deep mining shaft that makes wireless communication difficult. With a fully autonomous mining operation exceptional signals and data collection for planning, monitoring and controlling requires new ideas in order to minimize the risks in such operation. Part of that solution may be to gather data from several different types of sensors placed in the mining processes. Sending the sensor data to an overall system with predefined warning and alarm setpoints enables the possibilities with early alarms that allow production personnel to react before it becomes too late.