Development and research of the parameters control system of the artificial ecosystem environment by the fuzzy-logic system

Abstract

The paper considers the solution of scientific and practical problem of development and research of control system of parameters of environment of artificial ecosystem, creation of structural and basic electric scheme of system, drawing up of algorithm of its work. The study consists of statistical processing of the results of direct repeated measurements of soluble oxygen level, pH, temperature in the aquarium of the artificial ecosystem, analysis of errors and total standard uncertainty of measurement results, construction of a system with fuzzy logic to determine the impact of aquatic parameters on aquarium water quality. The system makes it possible to measure illuminance up to 45,000 lux, air temperature in the range from 12 to 42 0C, water temperature in the range from 15 to 28 0C, pH level from 5 to 9, dissolved oxygen level from 5 to 10 mg / l, has a proximity sensor , has the ability to turn on, if necessary, heating, water aeration, additional light sources. The measurement error on each of the channels does not exceed 2.5%. The need to create a control system arose due to the fact that there is a need to ensure the natural development of plants and fish in an artificial ecosystem that mimics the environment as close as possible to the natural one. In order for the ecosystem to perform its functions, it is necessary to timely control these parameters and respond quickly to the parameters exceeding the critical values. This task can be accomplished only by creating a control system. In order to bring people closer to the wildlife of exotic countries of the world, you can create corners of wildlife at school, enterprise, institution. An artificial ecosystem, which is a clear and versatile example of wildlife, will help students in the formation of a new culture of relationships with nature, the environment, and allow workers to relax morally by observing wildlife. Such a fruitful rest affects the recovery of people. The artificial ecosystem helps to involve children with talent in research work, in designing projects, performing works related to creativity.

Information and Measurement System for Problems of Technological Control of Mayonnaise

“…Щоб отримати якісну продукцію, необхідно розробляти автоматизовані інформаційновимірювальні системи контролю найбільш важливих для якості параметрів технологічного процесу виготовлення майонезу, що здатні забезпечити максимальну точність вимірювань фізичних величин, завдяки використанню вдосконаленої елементної бази. У роботах [6][7][8] На підставі розглянутих датчиків температури встановлено, що для здійснення вимірювань температури до + 100 0 С з високою точністю ± 0,5 0 С, яке необхідно проводити при виробництві майонезу, найкраще підходить датчик температури моделі 1-3ФТ фірми ЧАТ «ТЭРА» Україна [10] (рис. 3).…”

Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

“…It is shown that the construction of a suitable classifier could significantly improve the efficiency of further image processing operations: localization, recognition, search, and tracking of covered by fires and forecasting the future occurrence of this natural disaster with further consequences was not considered. Paper [20] considers the solution to the problem of developing and researching a system for controlling the parameters of the environment of an artificial ecosystem and the use of fuzzy logic to establish relationships between parameters. The issue of controlling and monitoring the microclimate of the entire ecosystem remains unresolved.…”

“…Thus, our review of literary sources [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] revealed that they lack analysis based on a mathematical apparatus that detects the influence of harmful factors, and it is not specified where and how the information obtained and processed is stored. The issues of efficiency in determining forest areas that were affected by forest fires, with their further classification, assessment of burned areas, and analysis of relationships between parameters that negatively affect the tree stand remain unsolved.…”