SBIR-STTR Award

Distributed Device Database for Acclerator Control
Award last edited on: 12/5/2008

Sponsored Program
SBIR
Awarding Agency
DOE
Total Award Amount
$815,720
Award Phase
2
Solicitation Topic Code
-----

Principal Investigator
Leo Dalesio

Company Information

EPIC Consulting

101 Mountain Ridge Drive
Mount Sina, NY 11766
   (410) 322-1300
   bdalesio1@comcast.net
   N/A
Location: Single
Congr. District: 01
County: Suffolk

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2007
Phase I Amount
$91,520
For very large, high energy physics (HEP) projects, the Experimental Physics and Industrial Control System (EPICS) is a de-facto standard in accelerator control, and it has been applied successfully to many physics projects. EPICS is a channel-based system in which each channel of each device must be configured and controlled. This system could be significantly enhanced by layering the configuration and control function above the channel interfaces. To accomplish this enhancement, this project will extend the grammar that defines the database and also extend the communication protocol that integrates the clients and servers in the distributed architecture. In Phase I, the feasibility of a device-oriented extension to the distributed channel database will be demonstrated by prototyping a device-aware version of an EPICS I/O controller. The EPICS I/O controller will function with the current version of the channel access communication protocol. In addition, extensions to the Channel Access protocol will be documented, in order to take full advantage of a device oriented database. In Phase II, a fully functional I/O Controller, which supports a representative range of devices as well as an expanded set of Channel Access functions to take advantage of the new capabilities, will be developed.

Commercial Applications and Other Benefits as described by the awardee:
The inability to adapt new technology without replacing the entire embedded control infrastructure has limited the ability of many industrial plants to modernize in an incremental fashion. Thus, an enhanced EPICS should have application to various commercial markets: water distribution, electricity distribution, wind tunnel control, and waste water treatment to name a few

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2008
Phase II Amount
$724,200
This project will develop a control system for very large High Energy Physics projects. A de-facto standard in accelerator control is the Experimental Physics and Industrial Control System (EPICS), which has been applied successfully to many physics projects. EPICS is a channel-based system that requires that each channel of each device be configured and controlled. In Phase I, the feasibility of a device oriented extension to the distributed channel database was demonstrated by prototyping a device aware version of an EPICS input/output (I/O) controller that functions with the current version of the channel access communication protocol. Extensions have been made to the grammar to define the database. Only a multi-stage position controller with limit switches was developed in the demonstration, but the grammar should support a full range of functional record types. In phase II, a full set of record types will be developed to support all existing record types, a set of process control functions for closed loop control, and support for experimental beam line control. A tool to configure these records will be developed. A communication protocol will be developed or extensions will be made to Channel Access to support introspection of components of a device. Performance benchmarks will be made on both communication protocol and the database. After these records and performance tests are under way, a second extension of the grammar will be undertaken.

Commercial Applications and Other Benefits as described by the awardee:
The proposed approach to configuring the I/O for a large physics project reduces the time to produce and maintain the massive amount of configuration data by providing the engineers and physicists with tools that configure the system at a high level. The creation, duplication, and management of devices, compresses the external view of the process by an order of magnitude. At the end of phase 2, the database engine, record types, configuration tool, and communication protocol will provide the fundamentals needed to make a beta release to potential users