WO2008038288A2 - Système et procédé permettant de réduire la consommation d'énergie dans un système de détection - Google Patents

Système et procédé permettant de réduire la consommation d'énergie dans un système de détection Download PDF

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Publication number
WO2008038288A2
WO2008038288A2 PCT/IL2007/001201 IL2007001201W WO2008038288A2 WO 2008038288 A2 WO2008038288 A2 WO 2008038288A2 IL 2007001201 W IL2007001201 W IL 2007001201W WO 2008038288 A2 WO2008038288 A2 WO 2008038288A2
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WO
WIPO (PCT)
Prior art keywords
data
sensors
relevant
detection
signal
Prior art date
Application number
PCT/IL2007/001201
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English (en)
Other versions
WO2008038288A3 (fr
Inventor
Gil Pogozelits
Alexander Pikus
Original Assignee
Soniclynx Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Soniclynx Ltd. filed Critical Soniclynx Ltd.
Publication of WO2008038288A2 publication Critical patent/WO2008038288A2/fr
Publication of WO2008038288A3 publication Critical patent/WO2008038288A3/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C19/00—Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects

Definitions

  • the present invention relates generally to alarm and detection systems. More specifically, the present invention relates to reducing power consumption in such systems.
  • Alarm and detection systems are required to operate non-stop and to deliver a large amount of data, the majority of which in non relevant.
  • the sensors are located in a specific position and a workstation is located in another remote position, said large amount of data need to be transmitted. Transmitting large amount of data where only a small portion of which is relevant is not cost effective as it increases, without any benefit, the power consumption and the bandwidth use of the system.
  • the disclosed invention is a method and a system for reducing power consumption and bandwidth use in a detection system having a plurality of locally positioned sensors and a remotely positioned workstation.
  • the disclosed system comprises a plurality of sensors supplied with processing means such that some of the processing is performed in situ — before the data transmission.
  • the remote control unit is configured to process data from various sensors and consequently to produce feedback to the sensors such that only relevant data from the sensors is transmitted.
  • the disclosed method starts with obtaining signals from local sensors. Then, for each signal the data relevant for detection is extracted. The method goes on by representing said data in a compact format for transmission. Then after transmitting the compacted data to workstation, non-relevant data is removed by comparing the data arriving from different sensors.
  • FIG. 1 is a schematic illustration of a power and/or bandwidth saving intrusion and/or damage detection system according to an embodiment of the invention
  • FIG. 2 is a schematic illustration of the data flow in the system, according to an embodiment of the invention.
  • FIG. 3 is a schematic illustration of a method for saving power and/or bandwidth in an intrusion and/or damage detection system, according to an embodiment of the invention.
  • FIG. 4 is a schematic illustration of a continuation of the method for saving power and/or bandwidth in an intrusion and/or damage detection system, according to an embodiment of the invention.
  • the present invention discloses an intrusion and/or damage detection system and a method for protecting a region or compound such as an airport, a military base, and a prison from unauthorized access and to enable detection of damages on an installation such as an oil pipeline, a water pipeline, a high-voltage electricity line.
  • the detection system comprises one or more sensors or alternatively, may be adaptable to one or more sensors that are configured to detect physical stimuli such as a person's or an animal's gait, an explosion and the like.
  • sensors may be for example, geophones, pressure sensors, sound sensors, active sensors, passive sensors, fiber optic sensors or any other suitable type of sensor.
  • the system processes and/or analyzes the signals after their detection, i.e., the system classifies and/or locates the origin of at least some of the signals and generates a suitable output at a workstation to make a user aware of occurrences near or in the compound or installation.
  • the workstation may be located remotely from the compound or the installation. Therefore, the signals have to be transmitted to the workstation via wire or wireless communication infrastructure.
  • high bandwidth and high power consumption may be required. High bandwidth and high power consumption may increase complexity of system requirements.
  • FIG. 1 schematically illustrates a power and/or bandwidth saving intrusion and/or damage detection system according to an embodiment of the invention.
  • FIG. 2 schematically illustrates the data flow in the system, according to an embodiment of the invention.
  • the detection system 100 may include or may be adapted to operate in conjunction with one or more sensors such as sensor 110 and/or sensor 120.
  • Each sensor may include a sensing element 117 that senses physical stimuli (hereinafter referred to as "occurrences”), such as drilling, a person's gait, an explosion and the like.
  • the sensors are configured to process and represent the physical stimuli in the form such as electronic signal(s).
  • sensing element 117 and/or processor 112 are configured to process and represent a physical stimulus (hereinafter referred to as "Input 1") by a signal 50.
  • the sensor 110 may further include a power source 111, which is operatively associated to a processor 112 and to a storage device 113, which may store instructions 114 and comprises a buffer 115.
  • the processor 112 is operatively associated with a storage device 113 and may run instructions 114 resulting in one or more applications such as Preprocessing application 116a and Post processing application 1 116b, as will be outlined below.
  • each sensor or group of sensors may have its transmitter operatively associated therewith to transmit signals representing the physical stimuli to a workstation 140.
  • a transmitter 131 and a transmitter 132 may be operatively associated to sensor 110 and 120, respectively.
  • the system 100 may include only one transmitter such as transmitter 131, which is operatively associated to a plurality of sensors.
  • preprocessing application 116a and/or post processing application I 116b may perform various processes like filtering, such that substantially only the portion of a signal 50 is actually carrying relevant information about damage and/or intrusion, is transmitted from transmitter 131 to a receiver 142.
  • a signal 50 may carry information representing gait of a human person as well as gait of a dog.
  • preprocessing application 116a and/or post processing application I 116b may process the signal 50 in a manner such that signal 181 carries information representing the gait of the human being only.
  • the workstation 140 includes a display 141, a processor 143, an input device 146, a power source 147 and a storage device 144 storing therein instructions 145.
  • Receiver 142, display 141, processor 143, storage device 144, input device 146 and power source 147 are operatively associated with each other.
  • the processor 143 may execute instructions 145 resulting in an application, hereinafter referred to as post processing application II 148, which may compare information carried by the signal 181 with information received at the workstation 180 from other sensors and trigger an alarm accordingly.
  • post processing application II 148 may compare signal 181 with signal 182 received from sensors 110 and 120, respectively, in order to ensure that the signal received from sensor 110 was not generated due to an accidental occurrence, noise, randomly generated signal, and the like.
  • FIG. 3 schematically illustrates a method for saving power and/or bandwidth in an intrusion and/or damage detection system, according to an embodiment of the invention.
  • processor 112 may execute instructions 114 resulting in preprocessing application 116a, which may include the steps indicated by box 305-315.
  • the method may include, for example, the step of handling physical stimuli, such as input 1, received at sensing element 117.
  • handling input 1 may include performing analog to digital (A/D) conversion and/or normalizing of the analog signal representing input 1, thereby obtaining signal 50.
  • Input 1 may be handled, for example, by sensing element 117 and/or processor 112.
  • the method may include, for example, the step of determining the energy level of signal 50. The energy level may be determined, for example, by executing suitable instructions such as instructions 114 by processor 112.
  • the method may include, for example, the step of determining whether the energy level of signal 50 exceeds a predetermined energy threshold value. If the energy level exceeds the predetermined energy threshold value, then signal 50 may be further processed and/or analyzed. On the other hand, if the energy level does not exceed the predetermined energy threshold value, signal 50 will not be further processed. In one embodiment, signal 50 is further processed in case said signal 50 is equal to the predetermined energy threshold value. In another embodiment, signal 50 will not be further processed in case said signal 50 is equal to the predetermined threshold value.
  • processor 112 may execute instructions 114 resulting in a post processing application 1 116b, which may include the steps indicated by box 325-350.
  • the method may include, for example, the step of classifying a signal such as signal 50 by applying a classifying function.
  • Classifying signal 50 may include the steps of, e.g., high pass filtering signal 50 and determining the Hubert spectrum on the high pass filtered signal 50, thereby generating a signal 60.
  • the Hubert spectrum may be computed by performing on signal 50 Principal Components Analysis (PCA), i.e.
  • PCA Principal Components Analysis
  • Time-frequency correlation may facilitate determining correlation of signal 60 with other known and classified signals stored in the system 100. If for example, correlation of signal 60 with another signal representing human gait is the highest compared to other correlations, then said signal 60 may be classified as representing human gait as well.
  • Singular Value Decomposition Singular Value Decomposition
  • the method may include, for example, representing signal 60 in a tagged form by determining a vector wherein each number or group of numbers represents a certain attribute of signal 60.
  • signal 60 may be represented by the following vector: 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1 ,1, 1, 1.
  • the first four members of the vector may represent an identification of signal 60
  • the fifth to the eighth member may represent classification of the signal such as, gait, explosion and the like
  • the ninth to the twelfth member may represent location of sensor
  • the thirteenth to the sixteenth member of the vector may represent the time at which input 1 was received.
  • Other methods for representing signal 60 may be used.
  • the method may include, for example, the step of storing the vector representing the information carried on signal 60 in, e.g., buffer 115.
  • the method may include, for example, the step of determining whether the number of vectors that have similar attributes to the vector representing input 1, exceeds a predetermined threshold. This may be accomplished by post processing application I. Said predetermined threshold may be any number equal or higher than 1 such as, for example, 1, 2, 10 and the like.
  • the method may include, for example, erasing the vector that represents input 1 and the vectors that are substantially equal to vector 1 from, e.g., a buffer 115.
  • the vectors may be erased in case the number of said vectors does not exceed the predetermined threshold within a certain period. Such a period may last, for example, 0.5 seconds, 1 seconds, 10 seconds or 30 minutes. Erasing said vectors from, e.g., buffer 115, might occur substantially immediately after the time period has passed or at any time later.
  • the method may include, for example, sending the vector representing the signal of input 1 to workstation 140 via signal 181.
  • Step 345 may occur if the number of inputs similar or equal to input 1, i.e., if the number of vectors representing inputs similar to input 1, exceeds a predetermined threshold. In consequence, randomly generated signals may be filtered out, thereby reducing the probability of triggering false alarms.
  • post processing application I may check similarity like, e.g., correlation, only between vectors that are received subsequently at workstation 140.
  • FIG. 4 schematically illustrates a continuation of the method for saving power and/or bandwidth in the intrusion and/or damage detection system, according to an embodiment of the invention.
  • processor 112 may execute instructions 114 resulting in post processing application II 148, which may include the steps as indicated by boxes 405-430.
  • the method may include, for example, the step of comparing the vector of sensor 110 with vector(s) of one or more other sensors, which are in vicinity of sensor 110. For example, only vectors of sensors that are located at a distance of up to 100 meters from sensor 110 may be taken into account by post processing application II.
  • post processing application II 148 may compare the vector representing input 1 with a vector representing input 2 received from sensor 120 by, e.g., determining the correlation between said vectors.
  • the method may include, for example, the step of determining whether an intruder and/or damage are detected at another sensor such as sensor 120. This may be accomplished by determining whether the comparison performed at step 305 yields a result, e.g., a correlation value, that indicates that the input 1 and input 2 detected at, e.g., sensor 110 and 120, respectively, are substantially equal or not.
  • a result e.g., a correlation value
  • the method may include, for example, the step of triggering an alarm or provide the user with any other suitable message to indicate the user that an intruder and/or damage were detected, as indicated by box 420.
  • the method may include, for example, the step of determining whether the same intruders and/or damages were detected for more than a predetermined number of times.
  • the method may include, for example, the step of transmitting a feedback signal to the sensor.
  • the feedback signal may carry data representing a command to stop sending signals carrying data that represent input l.
  • the feedback signal may be sent from workstation 140 to sensor 110 from transceiver 142 to transmitter 131.
  • system 100 may trigger an alarm until the water leak is stopped or unless a suitable feedback signal is sent to sensor 110.
  • the user may stop the alarm, which may an audible signal, a pop-up window appearing on display 141 and the like.

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Burglar Alarm Systems (AREA)
  • Selective Calling Equipment (AREA)

Abstract

La présente invention concerne un procédé et un système permettant de réduire la consommation d'énergie et l'utilisation de largeur de bande dans un système de détection comprenant une pluralité de capteurs placés localement et un poste de travail placé à distance. Le système selon l'invention comprend une pluralité de capteurs dotés de moyens de traitement de façon qu'une partie du traitement soit réalisée in situ, autrement dit avant la transmission de données. En outre, l'unité de commande à distance est configurée pour traiter des données issues de divers capteurs et pour produire ensuite une rétroaction vers les capteurs de façon que seules les données pertinentes issues des capteurs soient transmises. Le procédé selon l'invention consiste : à obtenir tout d'abord des signaux de capteurs locaux; puis à extraire, pour chaque signal, les données pertinentes pour la détection; à représenter ensuite lesdites données dans un format compact à des fins de transmission; et à éliminer, après la transmission des données compactes vers le poste de travail, les données non pertinentes, par la comparaison des données provenant des différents capteurs.
PCT/IL2007/001201 2006-09-28 2007-10-07 Système et procédé permettant de réduire la consommation d'énergie dans un système de détection WO2008038288A2 (fr)

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US84768206P 2006-09-28 2006-09-28
US60/847,682 2006-09-28

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Cited By (10)

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US20100256914A1 (en) * 2007-12-05 2010-10-07 Remi Hutin Method and apparatus for off-rig processing rig sensor data
US10261475B1 (en) 2013-04-19 2019-04-16 Dp Technologies, Inc. Smart watch extended system
US10335060B1 (en) 2010-06-19 2019-07-02 Dp Technologies, Inc. Method and apparatus to provide monitoring
US10485474B2 (en) 2011-07-13 2019-11-26 Dp Technologies, Inc. Sleep monitoring system
US10791986B1 (en) * 2012-04-05 2020-10-06 Dp Technologies, Inc. Sleep sound detection system and use
US10971261B2 (en) 2012-03-06 2021-04-06 Dp Technologies, Inc. Optimal sleep phase selection system
US11116934B2 (en) 2012-12-14 2021-09-14 Huawei Technologies Co., Ltd. Sleep monitoring and sleep aid usage
US11793455B1 (en) 2018-10-15 2023-10-24 Dp Technologies, Inc. Hardware sensor system for controlling sleep environment
US11883188B1 (en) 2015-03-16 2024-01-30 Dp Technologies, Inc. Sleep surface sensor based sleep analysis system
US11963792B1 (en) 2014-05-04 2024-04-23 Dp Technologies, Inc. Sleep ecosystem

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US20050036659A1 (en) * 2002-07-05 2005-02-17 Gad Talmon Method and system for effectively performing event detection in a large number of concurrent image sequences
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US5392072A (en) * 1992-10-23 1995-02-21 International Business Machines Inc. Hybrid video compression system and method capable of software-only decompression in selected multimedia systems
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100256914A1 (en) * 2007-12-05 2010-10-07 Remi Hutin Method and apparatus for off-rig processing rig sensor data
US9260942B2 (en) * 2007-12-05 2016-02-16 Schlumberger Technology Corporation Method and apparatus for off-rig processing rig sensor data
US10335060B1 (en) 2010-06-19 2019-07-02 Dp Technologies, Inc. Method and apparatus to provide monitoring
US11058350B1 (en) 2010-06-19 2021-07-13 Dp Technologies, Inc. Tracking and prompting movement and activity
US10485474B2 (en) 2011-07-13 2019-11-26 Dp Technologies, Inc. Sleep monitoring system
US10971261B2 (en) 2012-03-06 2021-04-06 Dp Technologies, Inc. Optimal sleep phase selection system
US10791986B1 (en) * 2012-04-05 2020-10-06 Dp Technologies, Inc. Sleep sound detection system and use
US11116934B2 (en) 2012-12-14 2021-09-14 Huawei Technologies Co., Ltd. Sleep monitoring and sleep aid usage
US10261475B1 (en) 2013-04-19 2019-04-16 Dp Technologies, Inc. Smart watch extended system
US11963792B1 (en) 2014-05-04 2024-04-23 Dp Technologies, Inc. Sleep ecosystem
US11883188B1 (en) 2015-03-16 2024-01-30 Dp Technologies, Inc. Sleep surface sensor based sleep analysis system
US11793455B1 (en) 2018-10-15 2023-10-24 Dp Technologies, Inc. Hardware sensor system for controlling sleep environment

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