Онтологический подход к рецептурному предприятию в рамках Индустрии 4.0

This article provides an review of the current situation of ontology use the techniques of creation, development and practice standards and digital twins with help of OSTIS Technology, examines in more detail the issues of current approaches to standards evolution, maintenance and application, with particular consideration to standards in the field of Industry 4.0, such as ISA-88, ISA-95 and ISA 5.1. Current standards-specific issues in this area are taken into account

Система адаптивного управления технологическим циклом производства в рамках Экосистемы OSTIS

In this paper an approach to building a hybrid intellectual computer system for adaptive control of a technological production cycle is being proposed in the form of an ostis-system solver based on the ontology of the "technological production processes with probabilistic attributes" domain knowledge. The idea of development and implementation of mathematical models of neural network regulators for control optimization problems is the basis for the system solver. Such an implementation makes it possible to integrate the proposed solution with other developed solutions as well as the company’s software in order to allow building intellectual systems for automated control, recommendation systems and decision support systems, information support systems for the company’s personnel

NLP подход к построению базы знаний предприятия с использованием больших языковых моделей

An approach to the automated formation of a knowledge base about an enterprise is proposed based on the analysis of existing technical documentation using large language models. This approach makes it possible to integrate the proposed solution with other developments and enterprise software to ensure the construction of intelligent automated control systems, recommendation systems and decision support systems, and information support systems for enterprise personnel

Ontological Approach for Standards Development Within Industry 4.0

In this paper, we propose an approach to automating the processes of creating, developing and applying standards based on OSTIS Technology. The problems of modern approaches to the development, maintenance and application of standards are considered in detail, special attention is paid to standards in the field of Industry 4.0, such as ISA-88 and ISA-95, their role in the context of Industry 4.0 and problems specific to standards in this field are considered. The paper proposes an approach to the development of standards based on the ontological approach and involving the transformation of the standard into a knowledge base developed by a distributed team of developers directly in the process of its use. It is proposed to use OSTIS Technology as the basis for building this kind of system. We consider a prototype information system for employees of a batch production enterprise that implements the proposed approach, as well as examples of the integration of such a system with production systems

Принципы построения систем принятия решений на основе интеграции нейросетевых и семантических моделей

This article reviews the benefits of integration neural network and semantic models for building decision-making systems. There purposed an approach to the integration of artificial neural networks with knowledge bases by inputs and outputs and the specification of these networks in the knowledge base using the ontology of the respective subject domains. The proposed approach is considered on the real production problem of JSC "Savushkin Product" for quality control of marking on products

Принципы построения системы комплексного информационного обслуживания сотрудников предприятия рецептурного производства

This paper discusses further applications of the ontology-based approach to the design of batch manufacturing enterprises. It involves, among other things, standards formalization. This paper, in particular, is dedicated to graphical representation of Piping and Instrumentation Diagram (P&ID) and Procedure Function Chart (PFC) languages, as per ISA-88 standard. They form a toolkit for automation engineer to work with. Contingency analysis and information retrieval agents were implemented. The article also discusses agent-oriented approach to robot interaction in robotic production systems, that is conducted via shared semantic memory

Integration of artificial neural networks and knowledge bases

This article reviews the questions and directions of integration of artificial neural networks with knowledge bases. There are two main directions of integration: 1) the inputs and outputs of artificial neural network to use integration of knowledge bases and artificial neural networks for solutions of application problems; 2) by artificial neural network representation on the basis of ontological structures and its interpretation by means of knowl- edge processing in the knowledge base providing an intelligent environment for the development, training and integration of different artificial neural networks compatible with knowledge bases. The knowledge bases that are integrated with artificial neu- ral networks are built on the basis of homogeneous semantic networks and multiagent approach to represent and process knowledge

Design of batch manufacturing enterprises in the context of Industry 4.0

This paper presents an evolution of an ontology- based approach to designing batch manufacturing enterprises. According to Industry 4.0 approach, instead of isolated view of a manufacturing process inside a single enterprise this new approach encompasses related business entities as well - raw material suppliers (e.g. dairy farms) and large-scale consumers (e.g. stores or retail chains). Special attention is paid to logistics processes: a short description of fundamental logistics processes of cottage cheese production is provided, as well as subject do- main structure of logistics and an example of formal specification of emergency logistics situation. It is shown that multiagent indus- trial control system with agents interacting via shared memory is compliant with design principles of Industry 4.0 approach. Standards formalization topic is touched upon as well. PFC, a graphical procedural model specification language, formalization is discussed. PFC is specified in ISA-88.02 standard. Graphical language formalization allows industrial control system users to communicate to it in a unified manner using diagrams that are widely understood by engineering specialists. This paper also outlines an agent-oriented approach to robot interaction within industrial robotic complexes based on shared semantic memory interaction mechanism

Онтологическое проектирование предприятий рецептурного производства

The paper discusses the current, tactical and strategic aspects of increasing the industrial control level and uses batch manufacturing enterprise JSC «Savushkin product» as an example. Proposed ontological approach to the design of such kind of enterprises is based on the hierarchical system of formal ontologies built from a certain standard. In particular, we discuss the principles of formalization of standards on which the enterprise activity is based using the ISA-88 standard as an Example

Neuro-Symbolic Artificial Intelligence: Application for Control the Quality of Product Labeling

The paper presents the implementation of an intelligent decision support system (IDSS) to solve a real manufacturing problem at JSC “Savushkin Product”. The proposed system is intended to control the quality of product labeling, based on neuro-symbolic artificial intelligence, namely integrating deep neural networks and semantic models. The system perform localization and recognition of images from a high-speed video stream and is based on several deep neural networks. Semantic networks fulfill intelligent processing of recognition results in order to generate final decision as regards the state of the production conveyor. We demonstrate the performance of the proposed technique in the real production process. The main contribution of this paper is a novel view at the creation of a real intelligent decision support system, which combines bio inspired approach, namely neural networks and conventional technique, based on a knowledge base