scholarly journals INTELLIGENT CONTROL SYSTEM OF CHEMICAL-TECHNOLOGICAL PROCESSES OF STRUCTURING OF MULTICOMPONENT ELASTOMER COMPOSITES BASED ON THE PRODUCTION MODEL

Author(s):  
A. S. Kuznetsov ◽  
V. F. Kornushko

A systemic analysis of the life cycle of products from elastomeric materials was carried out. The main modules of a management system for managing the life cycle - development, production and distribution of products from elastomeric composites on the basis of the integrated information system are described. The main control points of the process control are indicated. A detailed description of complex chemical-technological processes of multicomponent elastomeric composites structuring from the positions of a system approach based on a complex of information and production models is proposed. The model of an automated control system for the chemicaltechnological processes of elastomeric composites structuring based on vibration-rheometric data is considered, which is an example of the use of a control system based on indirect indicators. It is shown that the disturbing effects leading to the deviation of the process indices from the given ones are of a prescription and technological nature. The architecture of the integrated information management system for complex chemical-technological processes of multicomponent elastomeric composites mixing and structuring based on the production rules system is proposed. A block diagram of the algorithm for processing the main rheometric information of elastomeric composites structuring is given.

2021 ◽  
Vol 72 (03) ◽  
pp. 261-267
Author(s):  
HONGHUAN YIN ◽  
HONGBIN YU ◽  
JUNQIANG PENG ◽  
HONGYU SHAO

In order to meet the factory detection requirements of the rotary electronic dobby, a new design of the detecting platformfor the rotary electronic dobby was proposed in the present study. It was composed with three main modules to meetthe different levels of detecting process all over the factory, including the embedded control system, human machineinterface system and the information management system. For the information management system of the dobbyworkshop, the proposed platform performed the remote management, results monitor, and data analysis to the dobbymanufactured at the factory. For the operators of the dobby detecting process, the human machine interface systemrealized the edit of pattern, the upload and download of the pattern data based through Wi-Fi, the control of motor speed,the test process record and the upload of the test results. Moreover, the embedded control system was developed andbuilt to realize the real-time control to electromagnet and swing arms of dobby according to the pattern stored in flashchip and status display of the detecting results on the platform. The designed detecting platform in this article can bewidely applied in the factory for detection of the rotary electronic dobby. The reliability and practicability of the proposedplatform have been confirmed by the practical application of the dobby manufacturing enterprise.


2018 ◽  
Vol 2 ◽  
pp. e26490
Author(s):  
Ye-seul Kwan ◽  
Gi Cheol Lee ◽  
Sang Myeon Park ◽  
Ji Hae Lee ◽  
Jeong Su Oh

Since the Nagoya Protocol on Access to genetic resources and Benefit Sharing (ABS) came into force in 2014, the conservation and assurance of national biodiversity has been internationally stressed. The Government of South Korea is exercising significant efforts to integrate and manage the information pertaining to biological resources in line with this global trend. However, connecting and sharing biodiversity data has certain challenges because the existing databases and information systems are being operated using different standards. In the present study, we established an integrated management system for freshwater biodiversity information, the Freshwater Biodiversity Platform (FBP), to support the conservation and sustainable use of biodiversity. This platform allows the management of various types of biodiversity data, such as occurrences, habitats and genetics, for freshwater species inhabiting South Korea. The data fields are based on a global biodiversity data standard, Darwin Core, and national biodiversity standards of South Korea in order to share our data more efficiently, both nationally and internationally. It is important to note that the platform deals with information related to the utilization of biological resources as well as information representing the national biodiversity. We have collected bibliographical data, such as papers and patents, from databases, including information on the use of biological resources. The data have been refined by applying a national species list of South Korea and ontology terms in (MeSH) to compile valuable information for biological industries. Furthermore, our platform is open source and is compatible with multiple language packs to facilitate the availability of biodiversity data for other countries and institutions. Currently, the Freshwater Biodiversity Platform is being used to collect and standardize various types of existing freshwater biodiversity data to build foundations for data management. Based on these data, we will improve the platform by adding new systems that can analyze and release data for public access. This platform will provide integrated information on freshwater species from the Korean Peninsula to the world and contribute to the conservation and sustainable use of biological resources.


2019 ◽  
Vol 6 (6) ◽  
pp. 108-111
Author(s):  
Светлана Гришина ◽  
Svetlana Grishina ◽  
Андрей Шишкин ◽  
Andrey Shishkin

The article shows that when designing an organizational control system, it is most natural to use a systematic integrated approach and well-developed methods of system theory. The article continues the series of works of one of the authors devoted to the adaptation of the methods of control theory to economic objects. This paper deals with the mathematical description of the control system error. The block diagram of the organization management system is given. The system playback error is represented as the difference of the output signals of the ideal and desired systems. An equivalent and calculated system schema for error determination is presented. The mean square of the random system error is determined.


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