The studied geographical area is situated in a intramontane region situated on the Jiu River called the Jiu Valley, where the main economic activity is mining. The importance of studying this area is related to the effect of coal mining on the climate. Coal extraction in the area led to a change of atmospheric temperature due to the emissions of gases and dust that affects the environment. The use of LM75A sensors allow us to accurately read the air temperature and transmit warning messages when certain temperature intervals are exceeded.

This paper studies the Roșia Jiu quarry area in Romania. This research highlights the working method of hydraulic excavators and the values of particles released into the atmosphere by them. Improving technological equipment not only helps build a better world, but also restores and preserves the environment. The measurements were made during 2020, using DSM501A sensors, which were located at four points in the quarry, namely in the north, southeast and west of the quarry.

Our goal was to create an original knowledge-based intelligent software application for control and monitoring of drinking wate distribution system implemented and experimented for three cities from Jiu Valley region. For this purpose we created an knowledge-based intelligent systems for control and monitoring the parameters referring to the raw water catchment stations and the measuring instruments as: water turbidity, valves' state, the flow on the loading tank', the drinking water level in the tanks and the pressure at the customers The knowledge-based intelligent control and monitoring system was implemented in the Visual Basic programming language which is a high productivity development environment, a visual development software, object orientated, ideal for this type of applications, processes simulations control and monitoring.

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Our goal was to developed, implemented and practical experimented an knowledge-based intelligent software application for control and monitoring of vitally important industrial degassing process from degassing stations. For this purpose we created friendly user interface. This was designed to allow communication between the user and the computer system through a window using images, messages, menus and commands. The data acquired from the process we monitored and driven over with data acquisition boards, Data Acquisition Card and displayed using virtual instruments. The knowledge base is made up by the assembly of all the specialised knowledge introduced by the knowledge expert. Rules base contains basic information necessary to solve the problem (initial facts) and also inferred facts deduced after triggering of the reasoning performed in the inference engine.