CN111882800B - 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

Info

Publication number
CN111882800B
CN111882800B CN202010569258.9A CN202010569258A CN111882800B CN 111882800 B CN111882800 B CN 111882800B CN 202010569258 A CN202010569258 A CN 202010569258A CN 111882800 B CN111882800 B CN 111882800B
Authority
CN
China
Prior art keywords
fire
smoke concentration
data
fighting
hidden danger
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
CN202010569258.9A
Other languages
Chinese (zh)
Other versions
CN111882800A (en
Inventor
严军荣
项灵剑
卢玉龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Houbo Technology Co Ltd
Original Assignee
Hangzhou Houbo Technology Co 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 Hangzhou Houbo Technology Co Ltd filed Critical Hangzhou Houbo Technology Co Ltd
Priority to CN202010569258.9A priority Critical patent/CN111882800B/en
Publication of CN111882800A publication Critical patent/CN111882800A/en
Application granted granted Critical
Publication of CN111882800B publication Critical patent/CN111882800B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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 communities, 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:
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 or less than a historical reference value, illumination intensity at a place in the same area different from illumination intensity 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 hidden danger of the fire safety event exists according to the data of the temperature sensor and/or the data of the smoke concentration alarm and/or the data of the camera is determining whether the hidden danger of the fire safety event exists according to whether the temperature data obtained by the temperature sensor is greater than a temperature threshold, determining whether the hidden danger of the fire safety event exists according to whether the smoke concentration value obtained by the smoke concentration alarm is greater than a smoke concentration threshold, determining whether the hidden danger of the fire safety event exists according to whether the image obtained by the camera is greater than a temperature threshold, determining whether the hidden danger of the fire safety event 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 hidden danger of the fire safety event 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 methods.
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 of the invention 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 is a detailed description of preferred embodiments of the 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 related to fire protection, the presence of abnormal sound related to fire protection, the presence of abnormal stress related to fire protection, the presence of abnormal lighting and abnormal sound related to fire protection, the presence of abnormal lighting and abnormal stress related to fire protection, the presence of abnormal sound and abnormal stress related to fire protection, the presence of abnormal lighting and abnormal sound and abnormal stress related to fire protection.
A1-A7 in Table A are different embodiments of the trigger conditions
Figure BDA0002548839590000051
Figure BDA0002548839590000061
Figure BDA0002548839590000071
Figure BDA0002548839590000081
Whether there is fire safety incident hidden danger according to temperature sensor data and/or smog concentration alarm data and/or camera data judgement, include: judging whether the fire safety event hidden danger exists according to the temperature sensor data, judging whether the fire safety event hidden danger exists according to the smoke concentration alarm data, judging whether the fire safety event hidden danger exists according to the camera data, jointly judging whether the fire safety event hidden danger exists according to the temperature sensor data and the smoke concentration alarm data, jointly judging whether the fire safety event hidden danger exists according to the temperature sensor data and the camera data, jointly judging whether the fire safety event hidden danger exists according to the smoke concentration alarm and the camera data, and jointly judging whether the fire safety event hidden danger exists according to the temperature sensor data, the smoke concentration alarm data and the camera data.
B1-B7 in Table B are different implementation modes for judging whether fire safety accident hidden danger exists or not
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 (7)

1. A fire-fighting early warning method based on multi-dimensional data linkage is characterized by comprising the following steps:
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 temperature sensor data and/or smoke concentration alarm data and/or camera data, and if so, sending fire fighting early warning; the abnormal illumination comprises any one or more of illumination intensity which is greater than or less than a historical reference value, illumination intensity of a certain position in the same area which is different from that of other positions, and uneven distribution of illumination intensity in the same area; the abnormal stress comprises any one or more of impact, heavy pressure, excessive internal pressure and sudden internal pressure drop of the fire-fighting related facilities;
the judgment of whether the fire safety event hidden danger exists according to the data of the temperature sensor and/or the data of the smoke concentration alarm and/or the data of the camera is to judge 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 value or not, judge whether the fire safety event hidden danger exists according to whether the image obtained by the camera exists or not, judge whether the fire safety event hidden danger exists according to whether the temperature data is greater than a temperature threshold value or not and whether the smoke concentration value is greater than a smoke concentration threshold value or not and judge whether the fire safety event hidden danger exists according to whether the temperature data is greater than a temperature threshold value and the image obtained by the camera, judge whether the fire safety event hidden danger exists according to whether the smoke concentration value is greater than a smoke concentration threshold value or not and judge whether the information related to the fire safety event hidden danger exists or not according to the image obtained by the camera, Judging whether any one of the hidden dangers of the fire fighting safety incident exists or not according to the fact whether the temperature data is larger than the temperature threshold or not, whether the smoke concentration value is larger than the smoke concentration threshold or not and the image acquired by the camera;
whether the smoke concentration value obtained according to the smoke concentration alarm is larger than the smoke concentration threshold value or not is judged to have fire safety accident hidden danger or not, and the method comprises the following steps: calculating smoke concentration threshold values N, N-f 1- (N-N ') + f 2-v or N-f 3- (N-N ') -v, f1, f2 and f3 at different positions according to the smoke concentration N ' and the gas exchange speed v of the outside air of the ventilated environment at different positions, wherein the calculation coefficients are obtained by training in advance; judging whether fire safety accident hidden danger exists according to whether a smoke concentration value N acquired by a smoke concentration alarm is larger than a smoke concentration threshold value N;
the image that obtains according to the camera judges whether have with the information judgement whether fire incident relevant has fire control safety incident hidden danger, includes the step: training in advance to obtain image characteristics M related to a fire event, acquiring characteristic information M in an image, and calculating the contact ratio d of the characteristic information according to the proportion of the same characteristic quantity; calculating the matching degree p, p is alpha 1-d + alpha 2 or p is alpha 3-d of the characteristic information M in the image and the image characteristic M related to the fire event according to the coincidence degree d of the characteristic information α4 Alpha 1, alpha 2, alpha 3 and alpha 4 are calculation coefficients obtained by training in advance; and if the matching degree P is greater than the set matching threshold value P, judging that the fire safety event hidden danger exists.
2. A fire-fighting early warning method based on multi-dimensional data linkage according to claim 1, wherein the method for judging the uneven distribution of the illumination intensity in the same area comprises the following steps:
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.
3. A fire alarm method based on multi-dimensional data linkage as recited in claim 1, wherein the abnormal sound comprises any one or more of a sound of a burning object, a sound of an electric spark, and a sound of a gas leakage.
4. A multi-dimensional data linkage-based fire-fighting early warning method according to claim 1, wherein the fire-fighting related facilities include any one or a combination of a facility related to a fire-fighting event, a facility related to rescue.
5. A fire-fighting early warning method based on multi-dimensional data linkage according to claim 4, wherein the fire-fighting event comprises any one or more of fire, gas leakage and natural disaster.
6. A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
7. 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 any of claims 1-5.
CN202010569258.9A 2020-06-20 2020-06-20 Fire-fighting early warning method and system based on multi-dimensional data linkage Active CN111882800B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010569258.9A CN111882800B (en) 2020-06-20 2020-06-20 Fire-fighting early warning method and system based on multi-dimensional data linkage

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010569258.9A CN111882800B (en) 2020-06-20 2020-06-20 Fire-fighting early warning method and system based on multi-dimensional data linkage

Publications (2)

Publication Number Publication Date
CN111882800A CN111882800A (en) 2020-11-03
CN111882800B true CN111882800B (en) 2022-08-30

Family

ID=73158038

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010569258.9A Active CN111882800B (en) 2020-06-20 2020-06-20 Fire-fighting early warning method and system based on multi-dimensional data linkage

Country Status (1)

Country Link
CN (1) CN111882800B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101719299B (en) * 2009-11-10 2012-03-28 天津市浦海新技术有限公司 Alarm system and method for fire and combustible gas
CN103310577A (en) * 2013-06-20 2013-09-18 张晓东 Public fire warning indicating terminal
CN107871377A (en) * 2016-09-28 2018-04-03 武汉广宏利机电设备有限公司 A kind of building fire-fighting interlock method
CN108182783A (en) * 2017-12-04 2018-06-19 上海瑞眼科技有限公司 A kind of method and apparatus of data sampling and processing
CN107945449B (en) * 2017-12-20 2020-06-23 贵阳宏益房地产开发有限公司 Fire safety monitoring system and method
CN110160583A (en) * 2019-05-05 2019-08-23 任志刚 A kind of heritage monitor device, historical relic ambient condition monitoring system and storage box
CN111063358A (en) * 2019-12-18 2020-04-24 浙江中辰城市应急服务管理有限公司 Early fire early warning and escape indicating system with life recognition function

Also Published As

Publication number Publication date
CN111882800A (en) 2020-11-03

Similar Documents

Publication Publication Date Title
CN109564716B (en) System and method for detecting emergency situations
KR102501053B1 (en) Complex fire detector and fire monitoring system comprising the same
KR101640152B1 (en) Complex fire detector and fire monitoring system comprising the same
CN112044006A (en) Monitoring fire-fighting system for building
CN110910604B (en) Monitoring method, system and device for fire alarm
KR101786939B1 (en) Fire detection method using the weight of the sensor data
KR20150080127A (en) System and method for prventing fire of bulding
CN111986436B (en) Comprehensive flame detection method based on ultraviolet and deep neural networks
CN112728719A (en) Fire disaster reminding method and device based on air conditioner indoor unit
CN113178047A (en) Detection method of gas fire-extinguishing control system of building fire-fighting equipment
CN110853268A (en) Method for realizing intrusion detection vulnerability real-time scanning based on analysis of mass data of pipe gallery system
CN110801593A (en) Extremely early fire early warning system and method fusing multi-mode data
CN111882800B (en) Fire-fighting early warning method and system based on multi-dimensional data linkage
CN112927461A (en) New energy automobile charging pile early warning decision-making method and device
KR100977561B1 (en) fire abnormality-symptom distinction system using temperature sensor and humidity sensor.
KR100977562B1 (en) fire abnormality-symptom distinction system using temperature sensor.
WO2023281386A3 (en) System and method for detecting high-risk lightning strikes for use in predicting and identifying wildfire ignition locations
CN116307740B (en) Fire point analysis method, system, equipment and medium based on digital twin city
CN116052360B (en) Fire alarm system
CN116645775A (en) Cloud platform fire alarm information response system
CN107016814A (en) A kind of fire disaster intelligently early warning system
CN111614938B (en) Risk identification method and device
KR102084376B1 (en) Auto-remote testing method and fire alarm device for detector of fire fighting system
JP2019519033A (en) Detection apparatus, method for detecting an event, and computer program
CN112614295A (en) Fire monitoring and early warning system based on intelligent sensing terminal

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant