Increase of civil security based on CAFM
The use of CAFM data to increase civil security is a central aspect of the BMBF-funded research project SPIDER (Security System for Public Institutions at Disastrous Emergency scenaRios). The extent to which CAFM can contribute to increasing civilian safety is demonstrated by the research results obtained: CAFM systems contain a large number of property-related data. After a special data selection and preparation, a CAFM system develops in a disaster or major disaster situation to the central data supplier for emergency services (fire brigade, medical service, hospital, police, ...). A connection to modern building management systems (BMS) of any property - in this project to the GLT of koelnmesse - also enables the alarm of the employees in the security center immediately after triggering a fire alarm system. By using a special emergency response module, the employees are also shown additional instructions. These minimize the risk of human error in emergency situations. Furthermore, an automatic transmission of security-relevant property information is possible, for. B. the automatic transmission of the fire brigade card of the triggered detector to the operations center of the fire department. If necessary, the current fire brigade plans as well as data from the hazardous materials register of the CAFM system be retrieved by the forces. The early information leads, compared to the previous procedure, to a huge time savings. This also contributes to the transmission and processing of various sensor data (smoke extraction system, smoke detector, ...) for end users. The process of sighting a property is accelerated, ultimately leading to faster rescue of injured and buried people. The connection to the GLT also includes an interface to people counting systems. The information about the current number of persons within certain areas indicates in which areas - in terms of security - additional persons can be admitted. In addition to the interfaces to the GLT, a link to a (microscopic) passenger flow simulation was implemented in collaboration with the Department of Physics of Transport and Traffic at the University of Duisburg-Essen. This connection is used to exchange the current status information of various sensors (people counting, escape doors, smoke detectors, ...) available in the building management. Thus, an evacuation of the property in multiple real-time under the existing conditions can be simulated to detect potential hazards such as increased densities or congestion before their emergence. In this way, the staff responsible for safety will have the opportunity to intervene preventively. In order to further optimize the evacuation, the situation-specific CAFM data and the results of the person flow simulation are processed with the aid of a graph theory approach. This results in a clear, dynamically adapted to the situation circuit pattern for the escape route pictograms. They divert people from a property as quickly as possible, avoiding current dangers such as fire, smoke and congestion, to a safe area (eg assembly point). The evacuation is supported by automatic ELA announcements (electrical loudspeaker system), which are both situational and location-dependent. The research shows that advanced use of CAFM data, interfaces to modern GLT, and novel coupling of CAFM data with pedestrian flow simulation include: - Automation of operations - Reduction of human error - Optimization of the rescue process - Fast, secure and situation-dependent evacuation.
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