The introduction of information modeling technologies (TIM) into construction practice is irreversible all over the world. The effectiveness of the use of TIM has been proven at all stages of the life cycle of capital construction facilities: at the pre-design phase, at the stages of design, construction, operation, repair, reconstruction, de-installation and disposal. A variety of software for digitalization of construction allows you to choose the optimal product for a specific type of task. Until recently, most of the Russian information modeling technology market belonged to software products of foreign IT companies. Due to the changed conditions, there is a forced transition to domestic TIM systems. The challenges that arise in this case require joint actions by government agencies, software developers in the field of TIM, construction companies and educational organizations.

Keywords: information modeling technologies, BIM technologies, the life cycle of a capital construction facility, construction, import substitution, training of specialists, Russian TIM systems

The problems of building human-machine interfaces of automated operational dispatch control systems with a high density of information flow are considered. The article is devoted to the modernization of the graphical part of control systems with the proposal of levels of graphical mnemonic circuits and their description of their advantages. In the second part, the modernization of the previously proposed algorithm for the development of an alarm subsystem is given. The advantages of the proposed approaches for the end user are derived.

Keywords: dispatch control, automated control system, HMI, BMS, SCADA, UX/UI design

A Simulink model is considered that allows calculating transient processes of objects described using a transient function for any type of input action. An algorithm for the operation of the S-function that performs calculations using the Duhamel integral is described. It is shown that due to the features of the S-function, it can store the values of the previous step of the Simulink model calculation. This allows the input signal to be decomposed into step components and the time of occurrence of each step and its value to be stored. For each step of the input signal increment, the S-function calculates the response by scaling the transient response. Then, at each step of the calculation, the sum of such reactions is found. The S-function provides a procedure for freeing memory when the end point of the transient response is reached at each step. Thus, the amount of memory required for the calculation does not increase above a certain limit, and, in general, does not depend on the length of the model time. For calculations, the S-function uses matrix operations and does not use cycles. Due to this, the speed of model calculation is quite high. The article presents the results of calculations. Recommendations are given for setting the parameters of the model. A conclusion is formulated on the possibility of using the model for calculating dynamic modes.

Keywords: simulation modeling, Simulink, step response, step function, S-function, Duhamel integral.

During the construction and operation of oil and gas industry facilities, there are increased requirements for the quality of concrete. To this end, it is necessary to use new formulations and their preparation technology to obtain concretes of the required density with high strength, frost resistance, water resistance, crack resistance and, ultimately, increased durability. The use of a superplasticizing additive, basalt or polymer fiber and a nanocarbon additive in the specified amounts in the composition of fine-grained concrete contributed to an increase in the uniformity and density of the mixture and, accordingly, an increase in the strength characteristics of concrete at various hardening times. As a result of testing concrete samples for frost resistance, a mark of 400-500 cycles of freezing and thawing was obtained. This makes it possible to use these compositions of fine-grained concrete in harsh climatic and difficult engineering and geological conditions of construction and operation of oil and gas industry facilities.

Keywords: fibroconcrete, oil storage tanks, nanocarbon tubes, basalt fiber, superplasticizer

In the process of drilling oil or gas wells, increased friction forces of the drill string against the walls of the well, as well as in the rock-crushing tool. The use of various formulations of washing liquid using surfactants from fish production waste contributes to solving a significant part of the problems. The presence of fatty acids in fish waste, which have a significant surface-active effect, allows them to be used as plasticizing additives in concrete. As a result of the introduction of these wastes into the concrete mixture, its rheological properties are improved, as well as the strength characteristics of the hardened fine-grained fiber concrete significantly increase. The use of fish production waste in the concrete mixture will reduce the cost of concrete production, and the environmental situation will improve due to the disposal of industrial waste.

Keywords: fiber concrete, strength, fish waste, industrial liquids, nanocarbon tubes, basalt fiber, superplasticizer

The article considers one of the problems hindering the use of ceramic piezoelectric materials based on the BiFeO3 - BaTiO3 phases, which is caused by high values ​​of the dielectric loss tangent of these materials. It is assumed that this is due to different electrical conductivity of individual grains of this type of piezoelectric ceramics (Maxwell-Wagner effects), caused by the presence of iron ions in their composition, which have different oxidation states. In order to equalize the oxidation states of iron ions found in the grains of the considered ceramics, we used annealing of its samples in an atmosphere formed as a result of thermal decomposition of ammonium carbonate. It was found that this technique allows: a) to reduce the values ​​of tgδ of the CPM by 6 - 7 times; b) increase the polarizing field strength by at least 40%, and the value of the longitudinal piezoelectric modulus to 140 pC/N.

Keywords: piezoelectric material, electrical conductivity, dielectric loss, defect, iron ions, Maxwell-Wagner effect, reducing atmosphere, ammonium carbonate

Protecting the endpoints of an information system from cyber attacks determines the search and development of methods for detecting such attacks using artificial intelligence. The dynamics of the increase in the number of information threats of various types leads to the need to use machine learning methods to classify the functioning of automated control systems, including computing processes in automated control systems. The purpose of the study is to classify the computational processes of the created database for detecting illegitimate processes, taking into account minimizing the number of process parameters to achieve acceptable detection quality. Methods: as a mathematical tool, it is proposed to use a model trained on the created dataset and a correlation matrix based on Pearson coefficients to determine a group of parameters of computational processes. Results: an analysis of the data set based on Pearson correlation coefficients was carried out, which allows minimizing the number of parameters of the input data of the model. It is proposed to use the random forest method for the functioning of the model in solving the binary classification problem of detecting illegitimate computing processes in the automated control system. The effectiveness of the proposed model is evaluated by classification metrics: Precision, Recall, The developed model was tested at fixed volumes, training and testing samples. The work of the model was evaluated using the ROC curve and the PR curve.

Keywords: machine learning, binary classification, computational processes, database, data processing, model testing

In this paper, we present the implementation of a neural network approach to solving the problem of handwritten signature recognition. We analyzed the main approaches to handwritten signature recognition. We identified the features of using a handwritten signature as an identification method, including the variability of a handwritten signature and the possibility of forgery. We identified the relevance of using neural networks to solve the signature recognition problem. We developed a neural network model for recognizing handwritten signatures, presented its architecture containing convolutional and fully connected layers, and trained the neural network model based on handwritten signatures "Handwritten Signatures" containing 2263 signature samples. The accuracy of the developed model was 92% on the test sample. We developed a web application "Recognition of a static handwritten signature" based on the developed neural network model on the Amvera cloud hosting. The web application allows identifying users based on a handwritten signature sample.

Keywords: handwritten signature, neural networks, signature recognition, image processing, machine learning, web application, cloud hosting, identification, verification, artificial intelligence

A device has been developed that allows measuring the edge angle of wetting of flat surfaces with liquid. The device is characterized by simplicity of implementation, low cost, allows you to simplify the measurement process and eliminate errors associated with the individual characteristics of the observer. As an example, by determining the wetting edge angle, the hydrophilicity (hydrophobicity) of surfaces – fluoroplast, steel and steel with a separation coating based on the composition of Penta-100 when they are wetted with water. The dependence of the wetting edge angle of the initial composition of Penta-100 in the liquid state on the viability of the solution has been studied. The correlation of the marginal wetting angle of the Penta-100 solution with the porosity of the formed coating with the surface is shown. The proposed device can be used in educational and industrial laboratories for rapid assessment of the condition of various surfaces.

Keywords: surface, wetting edge angle, water, coating

This paper discusses statistical methods, as well as machine learning methods for choosing the optimal way to establish authorship for a passage of a work. The authors create a dataset from the passages of the corresponding authors, create a set of numerical features corresponding to each passage and apply various approaches to analyze authorship, such as correlation, similarity, t-test. An attempt is made to find the optimal method for the output layer of a graph convolutional neural network used for data preprocessing. The GCN neural network is being trained.

Keywords: t-test, cosine similarity, correlation, graph convolutional neural networks, natural language analysis