In this paper, some issues of building a reliable, distributed measurement system for monitoring of water quality in reservoir Lake Dobczyckie are presented. The system is based on a measurement station that has the shape of a floating buoy which is supposed to be at anchor on the reservoir. Wireless data transmission problems that were encountered during the development of the buoy, modeling a radio link, and measurements of actual signal strength on the reservoir are discussed. A mathematical approach to procedures of early situation assessment was conducted, and specialized procedures were designed for measurement stations of the system. It is also discussed how such computations can improve a qualitative assessment of system performance in terms of real-time messaging

Random nature of corona processes in UHV power lines and the accompanying noise is the reason that in practice the best determination of acoustic parameters, necessary for the noise evaluation, is obtained from the continuous monitoring procedure. However because of considerable fluctuations (both the useful signal part and the interfering components), careful selection of monitored parameters is necessary to enable a possibility of automatic determination of the parameters that are required for long-term evaluation of corona noise.

In the present work a practical realization is shown for estimation of corona noise parameters, based on the data obtained from continuous monitoring stations, making use of the statistical spectra measurement and characteristic features of corona process acoustic signal.

Selected results are presented from continuous monitoring of corona noise generated at a 400 kV power line, with special attention focused on definitions of the measured quantities, which enable automatic estimation of the basic factors required for noise evaluation. Accompanying monitoring of environmental conditions, including humidity, precipitation intensity and fog density, that are well correlated with the corona process intensity, which might definitely increase the filtration efficiency of environmental disturbances and on the other hand, it enables verification of calculation methods applied to corona noise.

The paper also contains a description of practical approach to selection signal parameters of corona noise in continuous monitoring stations.

Research focused on integration of machine operators with information flow in manufacturing process according to Industry 4.0 requirements are presented in this paper. A special IT system connecting together machine operators, machine control, process and machine monitoring with companywide IT systems is developed. It is an answer on manufacture of airplane industry requirements. The main aim of the system presented in the article is full automation of information flow between a management level represented by Integrated Management IT System and manufacturing process level. From the management level an information about particular orders are taken, back an on-line information about manufacturing process and manufactured parts are given. System allows automatic identification of tasks for machine operator and particular currently machined part. Operator can verify information about process and tasks. System allows on-line analyzing process data. It is based on information from machining acquired: machine operator, process and machine monitoring systems and measurement devices handled by operator. Process data is integrated with related order as a history of particular manufactured part. System allows for measurement data analysis based on Statistical Process Control algorithm dedicated for short batches. It supports operator in process control. Measurement data are integrated with order data as a part of history of manufactured product. Finally a conception of Cyber-Physical Systems applying in integrated Shop Floor Control and Monitoring systems is presented and discussed.