Classifications

• • G—PHYSICS
  • G08—SIGNALLING
  • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
  • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
  • G08B29/12—Checking intermittently signalling or alarm systems
  • G08B29/14—Checking intermittently signalling or alarm systems checking the detection circuits
  • G08B29/145—Checking intermittently signalling or alarm systems checking the detection circuits of fire detection circuits
• • G—PHYSICS
  • G08—SIGNALLING
  • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
  • G08B17/00—Fire alarms; Alarms responsive to explosion
• • G—PHYSICS
  • G08—SIGNALLING
  • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
  • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
  • G08B29/12—Checking intermittently signalling or alarm systems
  • G08B29/123—Checking intermittently signalling or alarm systems of line circuits
• • G—PHYSICS
  • G08—SIGNALLING
  • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
  • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
  • G08B29/18—Prevention or correction of operating errors
  • G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
  • G08B29/186—Fuzzy logic; neural networks

Definitions

• the present disclosure belongs to the technical field of smoke detectors, and more particularly to a computer-based method for operating an alarm system and detecting when errors occur in wiring and connections that may hinder the system from working correctly.
• an evaluation device for a surveillance system, the surveillance system having at least one system component for a surveillance area with at least one sensor for monitoring the surveillance area and/or for self-monitoring, with an input section for receiving sensor data S from the at least one sensor, having a data processing device for processing the sensor data S and for determining a processing result V, having an evaluation device for evaluating the processing result V and for generating a message M on the basis of the evaluation, having an output interface for outputting the message M, the message describing a reliability level of the system component.
• Document EP 2 500 882 B1 relates to, both the alarm system and the fire and flammable gas alarm method, allow long-term and permanent monitoring of the output of the single detector, along with a strong CPU processing capacity, allowing the individual detectors to alarm early if their operating data is abnormal the alarm limit has been reached, so that an upstream alarm triggering is possible and an accident risk is nipped in the bud.
• evaluate historical data to see if an alarm is triggered and automatically assess if the detectors are OK, if the data sent is plausible, and if the detectors are in need of care or attention. All this significantly increases the safety factor of the alarm system.
• a key aspect of fire protection is to identify a developing fire emergency in a timely manner, and to alert the building's occupants and fire emergency organizations. This is the role of fire detection and alarm systems. These systems also self-monitor, identifying where within the building(s) alarms originate from and detecting when errors occur in wiring and connections that may hinder the system from working correctly.
• a fire alarm system has four key functions: detect, alert, monitor and control. These sophisticated systems use a network of devices, appliances, and control panels to carry out these four functions.
• Optical sensors use the scattered-light method.
• a LED transmits light to the measuring chamber, where it is absorbed by the labyrinth structure.
• smoke enters the measuring chamber, and the smoke particles scatter the light from the LED.
• the amount of light hitting the photo diode is converted into a proportional electrical signal.
• One of the main functions of the chemical sensor is to detect carbon monoxide generated as a result of a fire, but it also detects hydrogen and nitrous monoxide.
• the sensor signal value is proportional to the concentration of gas.
• a fire alarm system detects a fire is through its initiating devices, which detect smoke or a fire. These devices include smoke detectors of various kinds, heat detectors of various kinds, sprinkler water flow sensors, and pull stations.
• smoke detectors of various kinds
• heat detectors of various kinds
• sprinkler water flow sensors and pull stations.
• the type of alarm and its settings should be established so as to enable the operator to make the necessary assessment and take the required timely action. Settings should be documented and controlled in accordance with the alarm system management controls.
• a fundamental reason for having an alarm should be to prompt an operator action (i.e. making a control change). Frequently there are alarms implemented that require no operator action, e.g. simply for status indication. These alarms are "in” during normal operations. Although an argument can be made to justify the implementation of "monitoring" a value more closely (e.g. during a product switch in a processing system), this approach should be used with caution since it is an easy way to justify adding volumes of alarms.
• pre-alarms that gives a pre-warning at the main panel without operating the sounders, giving staff time to investigate a false alarm or potential fire.
• the detector still operates if it senses a fire.
• Pre-alarm provides an indication that the probability of an alarm is increased.
• Common causes may differ but usually are related with contamination of detector by ingress of dust, pollen, insects; steam from showers or aerosols sprays; an unsatisfactory maintenance and testing program in place; contractors working on site; accidental breakage of fire alarm call points; cooking fumes.
• the idea of the presented in this disclosure is to provide a service capable to identify recurrent changes on detectors behaviour and point the most critical systems/devices, providing timely info in a regular basis to the customers.
• Data mining could help to explore fire alarm systems data in a regular basis, with low effort, identify problematic sources and work on solutions.
• the process consists in getting the warnings (pre-alarms) and fire events reported by each available customer/system and identify the frequency of occurrence per month.
• This present disclosure has the advantage that the customer will be able to see the count of warnings/fires in a monthly basis triggered over in all the systems and can easily detect the most critical systems due the high number of pre-alarms.
• the present disclosure allows to timely act to identify the root cause and avoid system faults or false alarms, and with that avoid the inherent disturbances that lead to expensive costs with all the logistic, people management and business impacts.
• the present disclosure discloses a computer-based method for operating an alarm system having a plurality of signal detectors and an electronic data processor, said method comprising the steps of: receiving user input for modifying operation of the alarm system; applying the received user input to modify the operation of the alarm system; operating the alarm system for a predetermined first time period; recording pre-alarm and alarm data records during said first time period; receiving a plurality of pre-alarm and alarm data records each with a timestamp; displaying aggregated counts of said pre-alarm and alarm data records aggregated by a predetermined second time period.
• the receiving user input comprises: receiving indication to ignore a pre-alarm, cancelling said pre-alarm and not triggering an alarm, or receiving indication to confirm a pre-alarm, not cancelling said pre-alarm and triggering an alarm.
• receiving user input further comprises: receiving indication to run a diagnostic on the alarm system and carrying out said diagnostic on the alarm system, and/or receiving indication to reset the alarm system and carrying out said reset of the alarm system.
• the electronic data processor is further arranged to process the pre-alarm data records with a pretrained machine-learning model to determine whether the pre-alarm record is determined to have an alarm data record, and the pre-alarm record is the alarm data record having to trigger an alarm; the pre-alarm record is the alarm data record having to cancel said pre-alarm and not trigger an alarm.
• the pretrained machine-learning model is an artificial recurrent neural network, a convolutional neural network, and/or a long short-term memory neural network.
• the electronic data processor is further arranged to determine if said the pre-alarm data records are periodical patterns over a longer period of time than said predetermined first time period.
• the electronic data processor is further arranged to input the pre-alarm and alarm data records to the pretrained machine-learning model by aggregating the pre-alarm and alarm data records for a subperiod of time comprised within said predetermined first time period.
• the predetermined first time period is from one week to one month.
• the predetermined second time period is from one month to one year.
• the signal detectors are a fire detector and/or a detector for flammable gas.
• the fire detector is a smoke detector or a thermal detector, or a smoke and temperature detector and the signal detector for flammable gas is a methane detector, a propane detector, or a carbon detector.
• an alarm system for detecting a fire or flammable gas released in an ambient, said system comprising: at least one signal detector installed in the ambient for detecting signals of the smoke, temperature, or flammable gas; an alarm control unit for real-time recording of the signals received by the signal detector; an electronic data processor to carry out the method of any of the previous embodiments.
• the present disclosure relates to a method for operating an alarm system and timely acting to identify the root cause and avoid system faults or false alarms.
• the data analysis process consists in getting the warnings and fire events reported in Remote Alert by each available customer/system and identify the frequency of occurrence per month.
• the data analysis process consists in getting the warnings and fire events reported in Remote Alert by each available customer/system and identify the frequency of occurrence per month.
• the algorithm is based on a simple count of events per month. From the Remote Alert data, the customer, system, state and timestamp are the properties that are required for this specific remote service.
• This disclosure will be used on the fire alarm systems helping to identify potential risks for alarms by look to pre-alarms.

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• Physics & Mathematics (AREA)
• Engineering & Computer Science (AREA)
• General Physics & Mathematics (AREA)
• Computer Security & Cryptography (AREA)
• Automation & Control Theory (AREA)
• Artificial Intelligence (AREA)
• Business, Economics & Management (AREA)
• Evolutionary Computation (AREA)
• Fuzzy Systems (AREA)
• Mathematical Physics (AREA)
• Software Systems (AREA)
• Emergency Management (AREA)
• Alarm Systems (AREA)

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Applications Claiming Priority (1)

Publications (1)

Family

ID=89900928

Family Applications (1)

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Citations (6)

• 2024
  • 2024-02-12 EP EP24157093.6A patent/EP4600929A1/de active Pending

Patent Citations (6)

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