idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
idw - Informationsdienst
Wissenschaft
Where is a fire located? How rapidly is it spreading? Are people or critical facilities nearby? A unique 3D data model and geo-referenced intelligence system from Siemens not only coordinate alarms, but also lead safety personnel securely through each situation.
Siemens has developed a pioneering security solution for industrial locations, office complexes, and similar institutions that provides a 3D data model of the entire area to be protected. The model displays the precise location of every individual security-related component – for example, fire detectors, video cameras, and access control systems. Known as Siveillance Viewpoint, the solution’s specialized algorithms use this information to analyze alarm signals and organize and display them in a logical structure, thus supporting optimized decision making and evacuation management.
Siveillance Viewpoint stands in sharp contrast to current emergency management systems, which produce a flood of alarm signals. For example, if there’s a fire in a production hall, 40 or 50 fire detectors might send alarm signals within a short period. But after a fire has been localized and firefighters have arrived, additional information is needed. Have all the elevators in the building been lowered and their doors opened? Are people still in the danger zone? Are there critical facilities such as oil tanks or transformers near the source of the fire, and if so, what condition are they in? Might the danger zone expand to include adjacent rooms or buildings?
This kind of information is often drowned out by countless alarm signals, and is often difficult to locate in the heat of an emergency. Another challenge is the need to check spaces that are adjacent to the emergency zone. Generally, only staff members with years of experience know exactly which fire detectors and safety devices are available and where they are located. If this experience is lacking, the information has to be sought in building plans or other documents. This process can, however, be hindered by the fact that much of the documentation regarding the locations of fire detectors may have been added by hand as systems were installed. Errors are thus prone to happen.
Automated Identification of every Fire Detector in a 3D Model
Siveillance Viewpoint stands in stark contrast to earlier systems. It can identify with absolute reliability the location of every fire detector and the spatial relationships between all the detectors. When the system is installed, a 3D model of a facility is created on the basis of building plans, floor plans or CAD data. Fire detectors are added to the model and the location of each device is registered according to its GPS data.
In this context, messages generated in an emergency situation not only include time stamps, but also geographic reference points and thus a logical connection with a building’s technology and with associated risk situations. Thanks to this model, the algorithms stored in the system can display relationships and ongoing changes in a simple and clearly visible format.
For example, Siveillance Viewpoint can automatically combine fire detectors into groups according to their locations. The countless alarms sent out by adjacent fire detectors are thus consolidated into a single alarm signal for the location in question. In this process, the system does not lose sight of underlying pieces of information or operational procedures. Instead, this information is logically subordinated to the emergency situation indicated by the alarm signals. At the same time, security personnel and first responders are supplied with decisive information such as video images of the area in question, messages from elevators and gates, and data regarding the status quo of critical installations. If an alarm signal should be simultaneously sent out from a completely different location, the fire detector’s location data enables the system to identify a second new emergency and clearly represent it as such.
As a result, Siveillance Viewpoint not only safely guides everyone involved through an emergency but also prevents security personnel from having to worry about possibly overlooking an important emergency in a flood of messages.
Contact:
Mr. Dr Norbert Aschenbrenner
Editorial Office
Siemens AG
norbert.aschenbrenner@siemens.com
Original Internet Article:
https://www.siemens.com/innovation/en/home/pictures-of-the-future/digitalization...
Pictures of the Future
https://www.siemens.com/innovation/de/home/pictures-of-the-future.html
A new security systems from Siemens prioritizes alarms and clusters them into events, thus helping f ...
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Construction / architecture, Information technology
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