Интегрированная система управления электростатического фильтра

The philosophy behind the FORRY® Integrated Precipitator Management Solution (IPMS) is to provide unsurpassed integration of discrete ESP controls, yielding maximum ESP optimization. The FORRY suite of ESP control products - including the AVC9000, ERC1001, TR sets and Windows® software suite - are not only interoperable with each other but with upstream control signals and downstream DCS systems as well.

Central to the IPMS is the FORRY DCU 1001 (DCU) which acts both as communications hub and a high level supervisor of the ESP controls, able to tune operations and respond to adverse conditions automatically. Among other features, the IPMS strategy incorporates advanced energy management for valuable power savings, load based rapping and power reduced rapping to optimize cleaning, extensive I/O capabilities and DCS integration.

Advanced Reporting and Data Management

The IPMS provides numerous options for managing, organizing and displaying the volumes of data constantly reported from the control system and process inputs. Data logging and reporting is available in the controls themselves, through the FORRY Windows software suite, via OPC or through integration with the DCS.

Reporting tools built into the software suite give users graphic reporting capability without "building" screens and graphs. These easy-to-use tools are invaluable for providing data as required for local, state and federal agencies. Custom print-outs and graphics are also available if desired.

The IPMS also includes FORRY's unique "Rapper-Tracker" feature that graphically displays the operation of discrete rappers versus opacity in real time. With this tool, the user can identify specific rappers on the ESP that cause opacity spikes and alter the rapping programming to alleviate the problem.

ESP programming can be customized to automatically control:

  • ESP Power on start-up/shutdown including auto alarm/trip
  • ESP fields during POR and PRR operations
  • Rapping intensity changes based on load ramping
  • Advanced energy management including multiple program selections at the AVC level, based on load and opacity
  • ESP cleaning optimization based on process inputs
  • AVC adaptation based on environmental inputs (i.e. SO2, opacity)

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