Automated Explosive Site Planner. A Software System for Siting Explosives

Abstract

The AUTOMATED EXPLOSIVE SITE PLANNER (AESP) is a software system developed at Headquarters Air Force Logistics Command (HQ AFLC) to tackle many of the problems encountered with developing an explosives site plan and completing AFLC FORM 333, EXPLOSIVES AUTHORIZATION FOR SITED MUNITIONS FACILITY. This system consists of 3 separate, but coordinated, programs that: maintain a site database containing information on structures in and around the explosives storage area (ex: structure identification, type, location, etc); establish minimum quantity-distance separations (QDS) between the proposed structure and surrounding structures based on Air Force regulation 127-100, chapter 5; identify previously sited structures whose maximum net explosive weights must be reduced, due to the introduction/ placement of the proposed structure; and complete AFLC FORM 333. Programs 1 and 3 of this system were designed using "conventional" techniques and coded in a "conventional" programming language (TURBO Pascal). Program 2 employs artificial intelligence techniques and was coded using expert system development software (M .1). This paper explains why this project was undertaken, how it was approached, and the rationale behind the approaches taken. It also provides a general discussion of the site planning process and detailed discussions on both program functions and system operation.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA529605

Entities

People

  • Martin J. Barche Jr.
  • William Rieder

Tags

Communities of Interest

  • Counter IED
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Cartesian Coordinates
  • Civil Engineering
  • Computer Programming
  • Computers
  • Databases
  • Engineers
  • Expert Systems
  • Explosives
  • Language
  • Logistics
  • Orientation (Direction)
  • Programming Languages
  • Regulations
  • Total Quality Management
  • United States

Fields of Study

  • Engineering

Readers

  • Computer Science.
  • Environmental Remediation and Restoration.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy