There is developed method of testing points generation for identification and correction of integral nonlinearity of high performance ADC. The developed method is based on averaging all voltages of multi-resistors voltage divider. It is investigated influence of resistors’ error and random error of ADC on residual error of integral nonlinearity correction for method based on multi-resistor divider.

The novel approach to the intelligent greenhouse control is based on predictive thermal models and actuator action plans to increase control performance. As operating the actuators essentially changes the thermal dynamics, the overall thermal model is decomposed into sub-models based on the state of the actuators. For the intelligent control it is essential to know the actuator configuration to select the most appropriate sub-model, but unfortunately information available about actuator states is not reliable enough to be directly applicable. This paper proposes a method to detect the difference between the believed and the actual state of the greenhouse and to identify the most likely model for the actual state. The method can be used to support the intelligent control in case of actuator malfunction or other accidents and is also suitable to provide possible reasons of the malfunctions to support the greenhouse personnel to take the necessary repair actions.

In this paper we present application of the Structured Light Illumination method for measurements of thickness of corroded district heating pipelines. The presented methodology allowed determination of the depth of pitting corrosion centres on both inner and outer sides and in each point of the pipe. Obtained data was consequently utilized for statistical analysis of corrosion growth process. The conclusions about the pitting corrosion process, as well as possible development of the presented methodology are discussed in conclusions.

Stylus profilometer gauge calibration, which often involves complicated procedures and demands expensive calibration standards, is substantial for ensuring both repeatability and reliability of surface roughness measurement results. However, in spite of numerous calibration methods being proposed, not only has the problem remained unsolved, but it even arose as incredibly wide range stylus profilometers came into the market recently. In the paper, a novel method is proposed in order to simplify the calibration process and interpretation of its results without decline in accuracy. The main idea is to replace the costly standards dedicated to profilometers with a sine bar and gage blocks, which are a must-be in every metrology laboratory. As a result, a calibration of these high- accuracy measuring instruments becomes fast and inexpensive. Moreover, this time and cost efficiency corresponds with the intuitiveness and easiness of interpreting calibration outcomes. In the paper, the core principles of the method are outlined and some experimental results demonstrating its performance are presented.

In the paper the application of ToF laser scanner in measurements of geometrical parameters of a boiler drum in power plant is presented. The point clouds acquired by the scanner have been subjected to a set of post-processing operations that provided the most important geometrical parameters of the drum. The obtained data can be used for optimization of the process of mounting a mechanical steam-water separation during renovation works. Currently used separations are tightly placed in boiler drum, so the welding process is not required anymore. This approach saves the time of renovation works, but the geometry of a separation has to be precisely matched against the geometry of the drum to ensure the tightness of connection and, in consequence, to ensure stability of steam parameters (pressure and temperature).