Automated Building Inspection
Another major change for the FDNY is its Coordinated Building Inspection and Data Analysis System (CBIDAS). The department has completed two phases of a four-phase initiative, which will provide an automated, state-of-the-art building inspection system that will be based on a risk model. It includes a data repository of building inspections information that enables the FDNY to analyze critical information to help improve fire inspections. CBIDAS, which IBM developed for the FDNY, collects and shares in real time data that potentially can prevent fires and protect firefighters and other first responders when a fire occurs, said Michael O'Boyle, managing director for New York State for IBM Public Sector. The system uses business intelligence technologies, including predictive modeling and advanced data analytics, to anticipate fire exposures, analyze possible impacts and improve processes that can minimize risks, such as collecting and disseminating data on building inspections, permits and violations.In addition to integrating and mining disparate databases within the FDNY, CBIDAS enables better communication, information sharing and coordination of fire inspection and site/building structure information within FDNY bureaus, and between FDNY bureaus and other city agencies-such as the Department of Buildings, Department of City Planning and Department of Environmental Protection-and contractors."There is nothing like it out there," Gribbon said of CBIDAS. "This can dramatically improve our field inspection program."