Introduction- Given the research potential currently presented by internal combustion engines, a complete characterization of their operating conditions requires taking into account the variety of sensors used to measure their physical magnitudes, the multiple electronic devices used for the conditioning of signals and the standards that define the communication syntax and synchronization. For this reason, it is necessary to develop software as a link between the instrumentation system and the user, to provide real-time visualization and storage of information. Objective- This study seeks to implement a methodology for the selection and adjustment of the data acquisition system for a Diesel engine test bench, as well as software developed to visualize the variables measured by the instruments. Methodology- The selection of the instruments used in the test bench was carried out, as well as the design of the signal treatment devices for each instrument, followed by set-up and calibration. Parallel to the above, interactive software was developed in a DAQ's for the visualization of the results obtained with the acquisition system. Results- The results indicate that the developed calibration curve produces a considerable fit of the experimental data, and using residue analysis it was verified that the linear model developed was adequate to describe the behavior of the sensors. Conclusions- It was evidenced that 2 of the 7 of the sensors had uncertainty values lower than the measurement unit, which guarantees small or practically negligible deviations from the nominal value. Of the 7 types of instruments implemented, the sensor corresponding to the rotation speed presented the highest value of uncertainty; however, this value is adjusted to the errors allowed in the RPM measurements, which oscillates 5 % of their nominal value.