Block method of decision making on the trajectory of graphic information processing as a basis for artificial intelligence in an automated monitoring system

Objective. The aim of the study is to develop theoretical foundations for making decisions on the technical condition of hazardous industrial facilities in order to reduce non-core expert operations related to constructing a trajectory of processing graphic information.

Method. A block-based decision-making method for processing graphic information is proposed. This method is based on the introduction of a vector classification feature and comprises: an image fragmentation block for automatic processing, which determines which portion of the image should be processed; a decision block for accepting the resulting fragment for processing, which allows for assessing compliance with the image acquisition conditions based on lighting; an image enhancement block, which allows for changes in image contrast and texture removal; and an image segmentation and indicator calculation block, which allows for the separation of target objects in the image and the determination of indicator values. The structure of each block is constructed and visualized.

Result. To test the method, a practical example is presented for assessing the deterioration of interpanel joints on the façade of an industrial building. The expert's role is reduced to assessing the image situation and entering the coordinates of a vector classification feature, followed by decision-making based on the image processing results along a given trajectory.

Conclusion. The ideology of the proposed method has elements of fundamentality and can be applied to solve problems when studying and monitoring the state of many objects from any area.

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