Abstract:
The aim of this research was to develop an intelligent system to carry out
proofing of Ammunition (Acceptance, Rejection, and reproof system) which
will be able to check the performance of Ammunition according to the
specifications given by the manufacturer. Using Artificial intelligence (AI)
techniques, the designing procedure has been made flexible so as to closely
resemble the procedure followed by a human mind to design the same
proofing system of Ammunition. The intelligent system developed in this
project not only design the proofing procedures but also provides facility of
complete old record to judge the performance of the particular Ammunition.
The second part of the project facilitates the user to design the system
himself and can also check the system so designed. This system has been
developed in Franz Allegro LISP for windows version 3.02. Many features
of Allegro LISP has been explored which includes:
• Rule Based Inference Mechanism.
• Pattern Matching.
The knowledge based of the system has been developed and
production rules have been utilized for inferencing. The system is equipped
with “graphical user interface ( GUI ). The rationalization of deeply rooted
knowledge based is in such a way that existing Proof schedule Acception
and Rejection computer system ( PARCS) interface having Manus, Dialogue
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boxes, widgets of various types, buttons, Menu-bars remains functional in
the new environment. The existing Knowledge Representing ( KR)
formulas have been successfully implemented in the modified package. The
overall response time of the system is reduced because of inbuilt features of
LISP. It is hoped that this implementation will fulfill the need of user for the
coming couple of years without any major modification and also provides a
platform for the future expansion, like for example the software can be
implemented at manufacturing stage in factories and also inspections carried
out at different levels. Then LAN can link all the stages.
