Industrial processing water for an increased output using control intelligent Agent
Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem, & Ugwu Kevin Ikechukwu
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.
|Title:||Industrial processing water for an increased output using control intelligent Agent|
|Author:||Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem, & Ugwu Kevin Ikechukwu|
|Journal Name:||International Journal of Science and Business|
|ISSN:||ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)|
|Date of Publication:||05/07/2021|
|Paper Type:||Research paper|
Cite This Article:
Ngang Bassey Ngang, Akaninyene Michael Joshua, Bakare Kazeem & Ugwu Kevin Ikechukwu (2021). Industrial processing water for an increased output using control intelligent Agent. International Journal of Science and Business, 5(8), 214-221. doi: https://doi.org/ 10.5281/zenodo.5070521
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About Author (s)
Ngang Bassey Ngang (corresponding author), Enugu State University of Science and Technology (ESUT), Enugu, Nigeria. Email: firstname.lastname@example.org
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.