SBIR-STTR Award

Distributed decision aids for management and control of army helicopter operations
Award last edited on: 12/18/2014

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$477,799
Award Phase
2
Solicitation Topic Code
A85-026
Principal Investigator
William H Bennett

Company Information

Systems Engineering for Power

4300 Evergreen Lane Unit 302
Annandale, VA 20770
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Location: Single
Congr. District: 05
County: Prince Georges

Phase I

Contract Number: DAAB07-86-C-A036
Start Date: 9/23/1986    Completed: 00/00/00
Phase I year
1985
Phase I Amount
$69,005
Army aviation (helicopters) represent an increasingly critical component in future airland battles and therefore a more intensive, efficient and responsive operations management system is required. Without an efficient distributed command and control system these objectives cannot be met. We propose to develop distributed automated decision aids for management and control of army helicopters operations. The methodology proposed utilizes a combination of advanced scheduling algorithm, database management, production rulebased, expert systems and interactive software systems. The resulting -c. Scheduling system is managed by several agents, corresponding to mobile nodes of the communication network, which allocate and schedule helicopter missions independently, while informing the common database of their actions and status of the resource. In the event that the helicopter resource heaches a critical state, determined by a higher level, coordinating agent, helicopter operations are centrally coordinated by a supervisory agent in collaboration with the other managing agents.

Phase II

Contract Number: DAAB07-86-C-A036
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
1986
Phase II Amount
$408,794
We propose to develop distributed automated decision aids for management and control of army helicopter operations. The methodology proposed utilizes a combination of advanced scheduling algorithms, database management, expert systems, and interactive software systems. The resulting scheduling system is managed by several agents (officers), corresponding to modile nodes of the communication network of the addcompe. The agents allocate and schedule helicopter missions independently, while informing the common database of their actions and status of the resource. In the event that the helicopter resource reaches a critical state, determined by a higher level, collaboration with the other managing agents. The system proposed holds promise to increase responsiveness, efficiency and survivability of helicopter operations management in a significant way. It includes several inherently distributed characteristics, required for addcompe applications. It utilizes a distributed database; it employs inter-agent distributed communications and computations; it involves synchronous and asynchronous decisions by various network nodes (agents).