Industrial processing water for an increased output using control intelligent Agent

Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem and Ugwu Kevin Ikechukwu
Additional contact information
Ngang Bassey Ngang: Enugu State University of Science and Technology (ESUT), Enugu, Nigeria.
Akaninyene Michael Joshua: Enugu State University of Science and Technology (ESUT), Enugu, Nigeria.
Bakare Kazeem: Enugu State University of Science and Technology (ESUT), Enugu, Nigeria.
Ugwu Kevin Ikechukwu: Enugu State University of Science and Technology (ESUT),Enugu,Nigeria.

International Journal of Science and Business, 2021, vol. 5, issue 8, 214-221

Abstract: Water treatment is crucial for agricultural production in order to maximize its value. It is suitable for use in agriculture, construction, and advanced technologies, and new technologies, especially in the field of IT. This paper presents an intelligent rule system based on a multi-agent architecture using fuzzy logic. This paper really solves the problem of regulating the supply of cold and hot water in industry. The problem of the lack of a clear mechanism for regulating water for use in the industrial process has led to unsatisfactory results in the production capacity of the financial sector. This can be solved through the development of the accessory function, which is an analysis of the causes of problems in the management of cold and hot water used in the manufacturing industry. The design of the accessory function, which consists of detecting deviations in the amount of liquid that had to pass through the hot and cold water tanks for industrial applications and necessity. Development of a smart rule that will control the amount of liquid in hot and cold water tanks, in trains, these are rules that must strictly follow the control format and consists in creating and developing a model of the water management process to increase production using an intelligent agent. The result is an increased level of performance where the intelligent agent that was used is concerned.

Keywords: Industrial processing; water control; increased output; intelligent agent; Defuzzification (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsab.com/wp-content/uploads/794.pdf (application/pdf)
https://ijsab.com/volume-5-issue-8/4141 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aif:journl:v:5:y:2021:i:8:p:214-221

Access Statistics for this article

International Journal of Science and Business is currently edited by Dr. Md Shamim Hossain

More articles in International Journal of Science and Business from IJSAB International
Bibliographic data for series maintained by Farjana Rahman ().