The Visual BASIC control system software (CSS) under development integrates forecast and real-time data into a bridge deck model. The function of the CSS is to predict an optimum temperature trajectory for the bridge deck during a desired time horizon. This information will be used to activate the most appropriate combination of one or more pairs of heat pumps on the bridge. Criteria proposed for use in the CSS module are: (1) forecast temperature; (2) probability/magnitude precipitation forecasts; (3) observed solid precipitation at the bridge site's sensor; (4) encroachment of precipitation calculated from radar data; and (5) dewpoint depression at the bridge site. Data used in these categories come from a variety of forecast and real-time data.
The CSS is being tested on an experimental bridge on the OSU campus in Stillwater, Oklahoma. Archived forecasts, observations from the Oklahoma Mesonetwork and data from the bridge's sensors are used as input to the CSS. After real-time testing during the winter of 2001-02, and further refinement, the module will be ready for deployment at an operational bridge in Oklahoma.