CN111882800A - Fire-fighting early warning method and system based on multi-dimensional data linkage - Google Patents

Fire-fighting early warning method and system based on multi-dimensional data linkage Download PDF

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CN111882800A
CN111882800A CN202010569258.9A CN202010569258A CN111882800A CN 111882800 A CN111882800 A CN 111882800A CN 202010569258 A CN202010569258 A CN 202010569258A CN 111882800 A CN111882800 A CN 111882800A
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fire
fighting
data
early warning
smoke concentration
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CN111882800B (en
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严军荣
项灵剑
卢玉龙
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Hangzhou Houbo Technology Co Ltd
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Hangzhou Houbo Technology Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/06Electric actuation of the alarm, e.g. using a thermally-operated switch
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/10Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/12Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
    • G08B17/125Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
    • Y02A40/28Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture specially adapted for farming

Abstract

The invention discloses a fire-fighting early warning method and system based on multi-dimensional data linkage. The method comprises the following steps: and when abnormal illumination and/or abnormal sound and/or abnormal stress related to fire fighting exists, judging whether fire fighting safety accident hidden danger exists or not according to the data of the temperature sensor and/or the data of the smoke concentration alarm and/or the data of the camera, and if so, sending fire fighting early warning. The method and the system solve the technical problem of how to carry out fire fighting detection and early warning by combining multi-dimensional data linkage such as sound, light, stress and the like.

Description

Fire-fighting early warning method and system based on multi-dimensional data linkage
Technical Field
The invention belongs to the technical field of intelligent fire fighting, and particularly relates to a fire fighting early warning method and system based on multi-dimensional data linkage.
Background
The existing fire-fighting early warning system is mainly realized by smoke alarm, a temperature sensor or image analysis and the like. The present fire-fighting detection technology with multiple sensors, for example, chinese patent publication No. CN109243130A, "fire monitoring system with multiple physical fusion and method for predicting fire occurrence probability", proposes a technical scheme of fusing data calculation and fusion results of a point-type smoke detector, a point-type temperature-sensitive detector, a linear beam smoke detector, an air-breathing smoke-sensitive fire detector, a cable-type linear temperature-sensitive detector, and a cable-type multiple-point temperature detector, and determining whether a fire occurs by using the data calculation and fusion results, and chinese patent publication No. CN109993949A, "a fire-fighting safety detection method based on multiple sensor fusion", proposes a technical scheme of triggering an alarm, confirming alarm authenticity by a remote camera video, achieving linkage by combining the camera and the sensor, and realizing alarm notification, alarm confirmation, and remote observation.
The multi-sensor fire detection technology is based on associated data (one dimension) such as associated temperature and smoke sense, or a sensor and a camera, and the fire detection method has the problem of untimely and inaccurate fire event detection.
At present, a technical scheme for carrying out fire fighting detection and early warning by combining multi-dimensional data linkage of sound, light, stress and the like does not exist. Therefore, a fire-fighting early warning method and system based on multi-dimensional data linkage are provided.
Disclosure of Invention
The invention provides a fire-fighting early warning method and system based on multi-dimensional data linkage in order to solve the problems.
The invention depends on various detection sensors deployed in the community, such as a light intensity sensor, a sound sensor, a pressure sensor, a temperature and humidity sensor, a smoke concentration detector, a monitoring camera and the like.
The invention discloses a fire-fighting early warning method based on multi-dimensional data linkage, which comprises the following steps of:
and when abnormal illumination and/or abnormal sound and/or abnormal stress related to fire fighting exists, judging whether fire fighting safety accident hidden danger exists or not according to the data of the temperature sensor and/or the data of the smoke concentration alarm and/or the data of the camera, and if so, sending fire fighting early warning.
The specific description is as follows:
judging whether the fire safety accident hidden danger exists according to the temperature sensor data and/or the smoke concentration alarm data and/or the camera data comprises the following steps: judging whether fire safety event hidden dangers exist according to the data of the temperature sensor, judging whether fire safety event hidden dangers exist according to the data of the smoke concentration alarm, judging whether fire safety event hidden dangers exist according to the data of the camera, jointly judging whether fire safety event hidden dangers exist according to the data of the temperature sensor and the data of the smoke concentration alarm, jointly judging whether fire safety event hidden dangers exist according to the data of the temperature sensor and the data of the camera, jointly judging whether fire safety event hidden dangers exist according to the data of the smoke concentration alarm and the data of the camera, and jointly judging whether fire safety event hidden dangers exist according to the data of the temperature sensor, the data of the smoke concentration alarm and the data of the camera.
Preferably, the abnormal illumination includes any one or more of illumination intensity greater than or less than the historical reference value, illumination intensity at a place in the same area different from that at other places, and uneven distribution of illumination intensity in the same area.
Further preferably, the method for determining the uneven distribution of the illumination intensity in the same area includes:
selecting a plurality of illumination acquisition points in the same area and acquiring illumination intensity values of the acquisition points;
calculating the mean value and the variance of the illumination intensity values of all the collection points;
calculating the illumination uniformity according to the mean value and the variance of the illumination intensity values of all the collection points;
and when the illumination uniformity is smaller than a preset illumination uniformity threshold value, judging that the illumination intensity is not uniformly distributed in the same area.
Preferably, the abnormal sound includes any one or more of a sound of a burning object, a sound of an electric spark, and a sound of a gas leakage.
Preferably, the abnormal stress includes any one or more of impact, heavy pressure, excessive internal pressure and sudden internal pressure drop of the fire-fighting related equipment.
Further preferably, the fire-related facilities include any one or a combination of facilities related to a fire event, facilities related to rescue.
Further preferably, the fire event comprises any one or more of a fire, a gas leak, a natural disaster.
Preferably, the determining whether the fire safety event hidden danger exists according to the temperature sensor data and/or the smoke concentration alarm data and/or the camera data includes determining whether the fire safety event hidden danger exists according to whether the temperature data obtained by the temperature sensor is greater than a temperature threshold, determining whether the fire safety event hidden danger exists according to whether the smoke concentration value obtained by the smoke concentration alarm is greater than a smoke concentration threshold, determining whether the fire safety event hidden danger exists according to whether the image obtained by the camera is greater than a fire event information, determining whether the fire safety event hidden danger exists according to whether the temperature data is greater than the temperature threshold and whether the smoke concentration value is greater than the smoke concentration threshold, determining whether the fire safety event hidden danger exists according to whether the temperature data is greater than the temperature threshold and the image obtained by the camera, Judging whether information related to the fire fighting incident exists according to whether the smoke concentration value is larger than the smoke concentration threshold value or not and the image acquired by the camera, judging whether the information related to the fire fighting incident exists or not, and judging whether any one of the information related to the fire fighting incident exists or not according to whether the temperature data is larger than the temperature threshold value or not, whether the smoke concentration value is larger than the smoke concentration threshold value or not and the image acquired by the camera.
A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the above method.
The utility model provides a fire control early warning system based on multidimension degree data linkage which characterized in that includes:
a detection sensor;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the above-described method.
The sensor comprises a light sensor, a sound sensor, a pressure sensor, a temperature sensor, a smoke concentration alarm and a camera.
The method and the system have the advantages that:
(1) through the abnormity of light, sound and stress, the hidden danger of the fire emergency can be found out in time from the information abnormity of multiple dimensions.
(2) Through temperature, smog and image data, can judge fire incident hidden danger according to the multidimension degree data is unusual.
(3) And by combining light, sound, stress, temperature, smoke and image data, the fire safety accident potential can be comprehensively judged and determined.
Drawings
FIG. 1 is a block diagram of an implementation of a fire-fighting early warning method based on multi-dimensional data linkage according to an embodiment of the invention;
fig. 2 is a flowchart of a fire-fighting early warning method based on multi-dimensional data linkage according to an embodiment of the present invention.
Detailed Description
The following describes in detail preferred embodiments of the present invention.
The embodiment of the invention depends on various detection sensors deployed in a community, such as a light intensity sensor, a sound sensor, a pressure sensor, a temperature and humidity sensor, a smoke concentration detector, a monitoring camera and the like.
The execution flow chart of the invention is shown in fig. 1, various sensors such as a light sensor, a sound sensor, a pressure sensor, a temperature sensor, a smoke concentration alarm, a camera and the like are deployed in a community, a fire-fighting terminal judges whether abnormal illumination and/or abnormal sound and/or abnormal stress related to fire fighting exists according to data detected by the various sensors, when the abnormal illumination and/or the abnormal sound and/or the abnormal stress related to fire fighting exists, whether fire-fighting safety event hidden danger exists is judged according to the data of the temperature sensor and/or the data of the smoke concentration alarm and/or the data of the camera, and if so, fire-fighting early warning is sent out.
The embodiment of the fire-fighting early warning method based on multi-dimensional data linkage is shown in a flow chart of fig. 2 and is characterized in that: and when abnormal illumination and/or abnormal sound and/or abnormal stress related to fire fighting exists, judging whether fire fighting safety accident hidden danger exists or not according to the data of the temperature sensor and/or the data of the smoke concentration alarm and/or the data of the camera, and if so, sending fire fighting early warning.
The triggering condition is the existence of abnormal illumination and/or abnormal sound and/or abnormal stress related to fire fighting, and comprises the following steps: the presence of abnormal lighting associated with fire protection, the presence of abnormal sound associated with fire protection, the presence of abnormal stress associated with fire protection, the presence of abnormal lighting and abnormal sound associated with fire protection, the presence of abnormal lighting and abnormal stress associated with fire protection, the presence of abnormal sound and abnormal stress associated with fire protection, the presence of abnormal lighting and abnormal sound and abnormal stress associated with fire protection.
A1-A7 in Table A are different embodiments of the trigger conditions
Figure BDA0002548839590000051
Figure BDA0002548839590000061
Figure BDA0002548839590000071
Figure BDA0002548839590000081
The judge whether there is fire safety incident hidden danger according to temperature sensor data and/or smoke concentration alarm data and/or camera data includes: judging whether fire safety event hidden dangers exist according to the data of the temperature sensor, judging whether fire safety event hidden dangers exist according to the data of the smoke concentration alarm, judging whether fire safety event hidden dangers exist according to the data of the camera, jointly judging whether fire safety event hidden dangers exist according to the data of the temperature sensor and the data of the smoke concentration alarm, jointly judging whether fire safety event hidden dangers exist according to the data of the temperature sensor and the data of the camera, jointly judging whether fire safety event hidden dangers exist according to the data of the smoke concentration alarm and the data of the camera, and jointly judging whether fire safety event hidden dangers exist according to the data of the temperature sensor, the data of the smoke concentration alarm and the data of the camera.
B1-B7 in Table B are different embodiments for determining whether there is a fire safety hazard
Figure BDA0002548839590000082
Figure BDA0002548839590000091
Figure BDA0002548839590000101
Figure BDA0002548839590000111
Figure BDA0002548839590000121
Figure BDA0002548839590000131
And when the situation of any embodiment in the table A occurs, calling the method of any embodiment in the table B to judge whether the hidden danger of the fire safety event exists or not, and if so, sending out fire early warning.
A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of the above embodiment.
The embodiment of the fire-fighting early warning system based on multi-dimensional data linkage is characterized by comprising the following components:
a detection sensor;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the method of any of the embodiments described above.
The sensor comprises any one or more of a light sensor, a sound sensor, a pressure sensor, a temperature sensor, a smoke concentration alarm and a camera.
Of course, those skilled in the art should realize that the above embodiments are only used for illustrating the present invention, and not as a limitation to the present invention, and that the changes and modifications of the above embodiments will fall within the protection scope of the present invention as long as they are within the scope of the present invention.

Claims (10)

1. A fire-fighting early warning method based on multi-dimensional data linkage is characterized by comprising the following steps:
and when abnormal illumination and/or abnormal sound and/or abnormal stress related to fire fighting exists, judging whether fire fighting safety accident hidden danger exists or not according to the data of the temperature sensor and/or the data of the smoke concentration alarm and/or the data of the camera, and if so, sending fire fighting early warning.
2. A fire-fighting early warning method based on multi-dimensional data linkage according to claim 1, wherein the abnormal illumination includes any one or more of illumination intensity greater than or less than a historical reference value, illumination intensity at a certain position in the same area different from that at other positions, and uneven distribution of illumination intensity in the same area.
3. A fire-fighting early warning method based on multi-dimensional data linkage as recited in claim 2, wherein the method for judging the uneven distribution of the illumination intensity in the same area comprises the steps of:
selecting a plurality of illumination acquisition points in the same area and acquiring illumination intensity values of the acquisition points;
calculating the mean value and the variance of the illumination intensity values of all the collection points;
calculating the illumination uniformity according to the mean value and the variance of the illumination intensity values of all the collection points;
and when the illumination uniformity is smaller than a preset illumination uniformity threshold value, judging that the illumination intensity is not uniformly distributed in the same area.
4. A fire-fighting pre-warning method based on multi-dimensional data linkage according to claim 1, wherein the abnormal sound includes any one or more of a sound of a burning object, a sound of an electric spark, and a sound of gas leakage.
5. A fire-fighting early warning method based on multi-dimensional data linkage according to claim 1, wherein the abnormal stress includes any one or more of impact on fire-fighting related facilities, heavy pressure, excessive internal pressure and sudden drop of internal pressure.
6. A multi-dimensional data linkage-based fire-fighting early warning method according to claim 5, wherein the fire-fighting related facilities include any one or a combination of facilities related to fire-fighting events, facilities related to rescue.
7. A fire-fighting early warning method based on multi-dimensional data linkage according to claim 6, wherein the fire-fighting event comprises any one or more of fire, gas leakage and natural disaster.
8. The fire-fighting early warning method based on multi-dimensional data linkage as claimed in claim 1, wherein the determining of whether the fire-fighting safety event hidden danger exists according to the temperature sensor data and/or the smoke concentration alarm data and/or the camera data is determining whether the fire-fighting safety event hidden danger exists according to whether the temperature data obtained by the temperature sensor is greater than a temperature threshold, determining whether the fire-fighting safety event hidden danger exists according to whether the smoke concentration value obtained by the smoke concentration alarm is greater than a smoke concentration threshold, determining whether the fire-fighting safety event hidden danger exists according to whether the temperature data is greater than the temperature threshold and whether the smoke concentration value is greater than the smoke concentration threshold, determining whether the fire-fighting safety event hidden danger exists according to whether the temperature data is greater than the temperature threshold and whether the image obtained by the camera exists Judging whether any one of the hidden dangers of the fire safety incident exists or not, judging whether the hidden danger of the fire safety incident exists or not according to whether the smoke concentration value is larger than the smoke concentration threshold value or not and the image acquired by the camera, judging whether the information related to the fire safety incident exists or not, judging whether the hidden danger of the fire safety incident exists or not according to whether the temperature data is larger than the temperature threshold value or not, whether the smoke concentration value is larger than the smoke concentration threshold value or not and the image acquired by the camera.
9. A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of claims 1-8.
10. The utility model provides a fire control early warning system based on multidimension degree data linkage which characterized in that includes:
a detection sensor;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the method of claims 1-8.
CN202010569258.9A 2020-06-20 2020-06-20 Fire-fighting early warning method and system based on multi-dimensional data linkage Active CN111882800B (en)

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CN112652140A (en) * 2020-11-24 2021-04-13 国网宁夏电力有限公司中卫供电公司 Transformer substation security system

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