Global Journal of Computer Science and Technology, C: Software & Data Engineering, Volume 22 Issue 2

Abstract- Generally, expert systems have been found very useful and even in fertilizer plants it has been deployed in handling operations in critical sections, such as material handling systems, online detection systems, granulation, air compressor among others. This paper presents research work for steam package boiler expert system for control and maintenance of fertilizer plants using rule-base fuzzy logic hybrid system, which has not been benefited much from expert system. The system handles cause of boiler failures in terms of controlling and maintaining the functional chemical components of the boiler drum and feed water parameters. validation on the system consistency, correctness, and its precision with six (6) steam package boiler parameters test value cases was conducted involving fourteen (14) fertilizer plant boiler domain partitioners. The boiler drum and feed water qualities with less or higher test value worst-cases validates the boiler system, showing each of the parameter’s bar turns red, as displayed on the boiler’s panel, while on test value best-cases, validates the system, displaying green on the boiler’s panel bar as users entered the right value of parameters as design specification. The expert system prevents damaged and malfunctioning as control the alkalinity, prevent scaling, both mechanical & chemical corrosion, forming, correct pH values and then the conductivity which deals with the feed boiler water and monitored the level in the boiler drum using the industry parameters (pressure, temperature, level and flow). Keywords: expert system, rule-base system, fuzzy logic, steam package boilers, dynamic simulation. I. I ntroduction he discovery and development of expert systems recorded since in the early 1970s until today. Expert systems are an offspring of the more general area of study known as artificial intelligence (AI) (Pandit, 2013). An expert system is computer program that contains a significant portion of the specialized knowledge of a human expert in a specific, narrow domain, and emulates the decision-making ability of the human expert in that area (Emmanuel & Adekunle, 2012). Expert systems are one area of artificial intelligence. Expert system is computer software had been designed for Simulates human expert in acts and activates , by the system's capability to find new facts Author α σ ρ: Department of Computer Science, Rivers State University, Port Harcourt, Nigeria. e-mails: bayelsaforprogress2022@gmail.com , nwiabu.nuka@ust.edu ,ng, bennet.okoni@ust.edu.ng II. L iterature R eview Mrudula(2013) gives reasons on his experts review article, that expert system models the knowledge of the human expert, both in terms of content and structure. His conclusion remains that one of the principal attractions of expert systems is that they enable computers to assist humans in many fields, and that these systems are rule-based systems are used to store and manipulate knowledge to interpret. According T Global Journal of Computer Science and Technology Volume XXII Issue II Version I 25 Year 2022 ( ) C © 2022 Global Journals Steam Package Boiler Expert System for Control and Maintenance of Fertilizer Plants using Rule- Base Fuzzy Logic Aziboledia F. Boye α , Nuka D. Nwiabu σ & Bennett E. Okoni ρ from available facts and render advice, to teach and executeintelligent tasks (Jabbar &Khan,2015). Expert system answer to questions about specific problems by inference, including inference of human knowledge that is experts in the field. expert systems should be able to explain the reasoning process and conclusion for the final user contributed by Simin et al., (2013).In expert systems, the knowledge to develop the system is derived from human experts (hence the name) (Tripathi,2011).According to (Pandit,2013), one of the principal attractions of expert systems is that they enable computers to assist humans in many fields. These systems are rule-based systems are used to store and manipulate knowledge to interpret. A rule consists of two parts: condition (antecedent) part and conclusion (action, consequent) part, i.e.: IF (conditions) THEN (actions) Antecedent part of the rule describes the facts or conditions that must exist for the rule to fire. Consequent describes the facts that will be established, or the action that will be taken or conclusion that will be made. Information in a useful way. They are often used in artificial intelligence applications and research (Pandit, 2013).Knowledge is the key success in the performance of an expert system. Acquisition of the desired knowledge for the problem domain was obtained from intelligent human experts, said Adekunle et al.,(2018). Expert Systems have been designed to assist in solving set of various problems, for instance, expert systems for designing and planning, classification & identification, prediction, Repairs, forecasting, discovery, diagnosis, monitoring control (Tan et al., 2016) etc. however, expert system for control and maintenance of steam package boiler is new as this was not benefitted and so specifically deployed in fertilizer plants.