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The fast development of technologies for the collection, processing and interpretation of information, as well as significant complication of mining natural-technical systems, leads to the emergence of a need to revise the principles of monitoring mining facilities. The operation of modern sloping structures in mining enterprises is associated with high industrial and environmental risks, since the possibility of emergencies remains, and the scope of the accident consequences can be continental. The current conditions of mining require the development of new principles to assess and forecast the status of dumps, open pit slopes, tailings dams, and hydraulic dumps. The developed typification of mining and geological phenomena and factors that affect the stability of sloping structures allows the design of monitoring systems of their state with consideration to each object’s specifics. Besides, this approach is formalized and allows its implementation in conditions of digital technologies progress. The development of detailed models of slope structures, which should become their digital twins, at last, enables to evaluate the current state of the observed object at all stages of its life cycle, based on received surveying, engineering-geological and hydrogeological information, and predict the slope structure behavior in the short term and medium term. The main task to be solved is the creation of principles for the organization of monitoring at mining enterprises that will enhance environmental and industrial safety in conditions of significant complication of mining and geological conditions of operated mineral deposits.

Lack of geological and tectonical knowledge in a region causes hazard in project implementation. There are many examples related to this issue in Iran and the world. Main purpose of this research is to analyze the fractures because of their importance and effect on the implementation of engineering and civil engineering projects such as Khansar-Boien Miyandasht tunnel. For this purpose, the process and density of the fractures and their spatial-geometric position were investigated. Therefore, joints and faults in the Khansar syncline area and the site of Khansar-Boien Miyandasht tunnel were collected, then processed by interpreted in the software such as Stereo32 and Georient. According to the result, a group of joints can be related to pre-tectonics, another one can be related to syn-tectonics(folding and faulting) and some fractures are related to the post-tectonics . Geomechanically, syn-tectonic fractures are extensive in depth and these issues are very important, so it should be considered in implementing the project of Khansar tunnel. Results of the geological engineering study such as, uniaxial strength test, point loading, Schmidt hammer, and ultra-sonic Test were showed high-resistance massive orbitolina limestone , and alternation of shale , limestone , medium-resistance limestone and black slates include low resistance that lead to apply the supports with higher safety factor. Considering the tunnel direction (NNE-SSW), high slope fractures and tunnel tensions, it is possible to create sliding wedges in the left wall and left ceiling of the tunnel. Therefore, tunnel drilling should be performed cautiously by blasting method.

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The increasing complexity of mining and geological conditions in the development of mineral deposits, the operation of careers with a 600 and more meters depth, as well as the formation of unique artificial and alluvial massifs determines the need to obtain complete and reliable information about the state of slope structures for their proper assessment and to determine timely management decisions in order to prevent accidents and ensure industrial and environmental safety. The majority of modern geomechanical models are built on the basis of analytical mathematical methods that are not able to calculate all the factors affecting the conditions of the slope structures. With the advent of digital technologies and artificial intelligence systems, it became possible to develop new methods to collect, transfer and store information about engineering geological and hydrogeological factors, as well as to create software solutions aimed at improving the accuracy of slope structure behavior prediction affected by rapidly changing environmental and technological operating conditions.