CN116935273A - Fire alarm signal transmission supervision method and system - Google Patents

Fire alarm signal transmission supervision method and system Download PDF

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CN116935273A
CN116935273A CN202310878400.1A CN202310878400A CN116935273A CN 116935273 A CN116935273 A CN 116935273A CN 202310878400 A CN202310878400 A CN 202310878400A CN 116935273 A CN116935273 A CN 116935273A
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fire alarm
occurrence
video monitoring
monitoring data
data
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吴明
吴童欢
王斌
罗梦颖
王岳寅
潘艳
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Hubei Beacon Fire Safety Intelligent Fire Fighting Technology Co ltd
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Hubei Beacon Fire Safety Intelligent Fire Fighting Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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    • G06V20/40Scenes; Scene-specific elements in video content
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1095Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes

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Abstract

The invention provides a fire alarm signal transmission supervision method and a fire alarm signal transmission supervision system, wherein the method comprises the following steps: receiving fire alarm information of a fire alarm system, determining a fire alarm occurrence position, and acquiring monitoring video data of the fire alarm occurrence position; video monitoring data of the fire alarm occurrence position in two hours before the occurrence of the fire alarm is called, real-time video monitoring data of the fire alarm occurrence position is called, and meanwhile, the two video monitoring data are associated to obtain a fire alarm occurrence reason and a traceable data set; analyzing the fire alarm occurrence cause and solving the traceability data set to obtain the fire alarm occurrence cause and the optimal solution, storing and recording the fire alarm occurrence cause, and applying the optimal solution to solve the fire alarm; and correlating the fire alarm occurrence reason with the optimal solution to form an alarm occurrence solution event group, storing the alarm occurrence solution event group into a cloud server, and synchronizing the alarm occurrence solution event group with each video monitoring device.

Description

Fire alarm signal transmission supervision method and system
Technical Field
The invention relates to the technical field of computers, in particular to a fire alarm signal transmission supervision method and a fire alarm signal transmission supervision system.
Background
The intelligent fire control management system applies high-end technologies such as GIS technology, wireless communication technology, GPS positioning technology, internet of things terminal technology and the like to management, supervision, acquisition and monitoring services of fire control work, and the intelligent fire control management system is characterized in that: the method comprises the steps of real-time updating, dynamic monitoring, closed-loop management of inspection operation and maintenance work, online display of personnel working conditions and the like, and various data platforms are displayed, and by linking various elements and links in the fire-fighting work together, the obstacle of information transmission is broken, the online monitoring data is combined, matched and optimized with the fire-fighting work content, and the flow of each link of the fire-fighting management work is clear.
Chinese patent CN116028671a, "a fire service database management method and system", discloses an intelligent fire control management system based on internet of things, comprising: the fire control water source monitoring module, the fire control inspection module, the video monitoring module and the fire automatic alarm management module. According to the patent, daily spot inspection of the distributed detection sensors is realized through the spot inspection management module and the test terminal, namely, daily detection of the sensors is realized. However, when the fire alarm occurs, the fire data is only stored at the moment, and the data is related and extracted and stored afterwards for analyzing the cause of the fire alarm afterwards, so that certain delay exists, and the time is not enough.
Disclosure of Invention
In view of the above, the invention provides a fire alarm signal transmission monitoring method and a fire alarm signal transmission monitoring system, which are used for immediately processing video monitoring data of a fire alarm when the fire alarm occurs, analyzing the cause of the fire alarm when the fire alarm occurs, and obtaining an optimal solution according to the analysis of the cause of the fire alarm, thereby not only ensuring the analysis of the cause of the fire alarm, facilitating the next response, ensuring the optimal solution of the fire alarm at the first time and improving the efficiency.
The technical scheme of the invention is realized as follows: in one aspect, the invention provides a fire alarm signal transmission supervision method, which comprises the following steps:
s1, fire alarm information of a fire alarm system is received, a fire alarm occurrence position is determined, and monitoring video data of the fire alarm occurrence position is obtained;
s2, retrieving video monitoring data of the fire alarm occurrence position in two hours before the occurrence of the fire alarm, retrieving real-time video monitoring data of the fire alarm occurrence position, and performing association processing on the video monitoring data and the video monitoring data to obtain a fire alarm occurrence reason and a traceable data set;
s3, analyzing the fire alarm occurrence cause and solving the traceability data set to obtain the fire alarm occurrence cause and the optimal solution, storing and recording the fire alarm occurrence cause, and applying the optimal solution to solve the fire alarm;
s4, associating the fire alarm occurrence reason with the optimal solution to form an alarm occurrence solution event group, storing the alarm occurrence solution event group in a cloud server, and synchronizing the alarm occurrence solution event group with each video monitoring device;
and S5, marking and recommending the optimal solution, so that the fire alarm occurrence solution event group preferentially selects the optimal solution.
Preferably, step S1 includes:
the fire alarm system monitors through the video monitoring equipment, when a fire alarm event occurs, the fire alarm system receives fire alarm information sent from the outside, and the fire alarm occurrence position is determined through the position information of the fire alarm information and the positioning function of the video monitoring equipment.
Preferably, step S2 includes:
firstly, video monitoring data of a fire alarm occurrence position in two hours before the occurrence of the fire alarm is called, and meanwhile, real-time video monitoring data of the fire alarm occurrence position in the occurrence of the fire alarm is called, and the two video monitoring data are related to a data set to obtain a fire alarm occurrence reason and a traceable data set.
Preferably, step S3 includes:
s31, analyzing the occurrence cause of fire alarm and solving the problem of tracing the source data set omega= { A, B },
wherein A is video monitoring data of the fire alarm occurrence position two hours before the occurrence of the fire alarm, B is real-time video monitoring data of the fire alarm occurrence position when the fire alarm occurs,
analyzing the video monitoring data A to obtain a fire alarm occurrence reason, and storing and recording the fire alarm occurrence reason;
s32, analyzing the video monitoring data B, combining the occurrence reason of the fire alarm to obtain an optimal solution, and applying the optimal solution to solve the fire alarm.
Preferably, step S31 includes:
s311, analyzing the video monitoring data A, checking the occurrence of the fire alarm within two hours before the occurrence of the alarm, deducing the occurrence reason of the fire alarm, recording the events which can cause the fire alarm and are seen in the video monitoring, then analyzing the occurrence reason of the fire alarm by all the events which occur in the video monitoring data A,
A={a 1 ,a 2 ,...,a n },
wherein a is n For the events occurring in the video monitoring data a, n is the number of events occurring in the video monitoring data a, and n is a positive integer not less than 3.
Preferably, step S32 includes:
s321, analyzing the video monitoring data B, checking the occurrence of fire alarm, comprehensively analyzing the occurrence of fire alarm and the real-time fire control situation by combining the occurrence reason of fire alarm, obtaining the optimal solution by the events occurring in the video monitoring data A and B,
AB={a 1 b 1 ,a 2 b 2 ,...,a n b n },
wherein AB represents the set of events of all video surveillance data A and B used to obtain the best solution, a n B for events occurring in the video surveillance data a n The number of events occurring in the video monitoring data a is n, and n is a positive integer not less than 3.
Preferably, step S4 includes:
the fire alarm system associates the fire alarm occurrence reasons with the optimal solutions to form a set form of fire alarm occurrence solution event groups, the set form is stored in a cloud server through a network and is synchronized to each video monitoring device, and the video monitoring devices store a plurality of optimal solutions and deal with different fire alarm information.
In another aspect, the present invention also provides a fire alarm signal transmission monitoring system, the system comprising:
the alarm positioning module is used for receiving the fire alarm information of the fire alarm system, determining the occurrence position of the fire alarm and acquiring the monitoring video data of the occurrence position of the fire alarm;
the monitoring data module is used for retrieving video monitoring data of the fire alarm occurrence position in two hours before the occurrence of the fire alarm, retrieving real-time video monitoring data of the fire alarm occurrence position, and carrying out association processing on the video monitoring data and the video monitoring data to obtain a fire alarm occurrence reason and a traceable data set;
the reason analysis and solving module is used for analyzing the fire alarm occurrence reason and solving the traceability data set to obtain the fire alarm occurrence reason and the optimal solution, storing and recording the fire alarm occurrence reason and applying the optimal solution to solve the fire alarm;
and the record synchronization module is used for correlating the fire alarm occurrence reason with the optimal solution to form an alarm occurrence solution event group, storing the alarm occurrence solution event group into the cloud server and synchronizing the alarm occurrence solution event group to each video monitoring device.
In another aspect, an embodiment of the present invention further provides an apparatus, including: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the fire alarm signal transmission supervision method.
In another aspect, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the fire alarm signal transmission supervision method.
Compared with the prior art, the fire alarm signal transmission supervision method and system of the invention have the following steps
The beneficial effects are that:
(1) The method has the advantages that the occurrence cause and the optimal solution of the fire alarm are analyzed one by extracting the video monitoring data before and during two hours of the occurrence of the fire alarm, the video monitoring data of the fire alarm are processed in real time, the analysis of the occurrence cause of the fire alarm is realized when the fire alarm happens, the optimal solution of the fire alarm is obtained at the first time, and the efficiency is improved;
(2) All events of the statistical video monitoring data A form a set, and the set is used for analyzing the occurrence reason of the fire alarm; then, corresponding events of the video monitoring data B are counted to form a set together with all events of the video monitoring data A, and the set is used for analyzing an optimal solution of fire alarm;
(3) The alarm occurrence solution event group is obtained through the video monitoring data A and B, the data of the alarm occurrence solution event group is synchronized to the cloud server through the network, so that all video monitoring equipment stores a plurality of optimal solutions, and different optimal solutions are adopted for different fire alarm information.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a fire alarm signal transmission monitoring method of the present invention;
fig. 2 is a block diagram of a fire alarm signal transmission monitoring system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will clearly and fully describe the technical aspects of the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
There is provided a fire alarm signal transmission supervision method, as shown in fig. 1, comprising the steps of:
s1, fire alarm information of a fire alarm system is received, a fire alarm occurrence position is determined, and monitoring video data of the fire alarm occurrence position is obtained;
s2, retrieving video monitoring data of the fire alarm occurrence position in two hours before the occurrence of the fire alarm, retrieving real-time video monitoring data of the fire alarm occurrence position, and performing association processing on the video monitoring data and the video monitoring data to obtain a fire alarm occurrence reason and a traceable data set;
s3, analyzing the fire alarm occurrence cause and solving the traceability data set to obtain the fire alarm occurrence cause and the optimal solution, storing and recording the fire alarm occurrence cause, and applying the optimal solution to solve the fire alarm;
s4, associating the fire alarm occurrence reason with the optimal solution to form an alarm occurrence solution event group, storing the alarm occurrence solution event group in a cloud server, and synchronizing the alarm occurrence solution event group with each video monitoring device;
and S5, marking and recommending the optimal solution, so that the fire alarm occurrence solution event group preferentially selects the optimal solution.
It should be noted that: in order to realize intelligent fire control management, the existing intelligent fire control management system often adopts a fire control service database to store various data, and after fire alarm occurs, the data in the fire control service database is manually browsed.
Most of the current intelligent fire control management is to analyze some problems occurring in the fire alarm information processing process after the fire alarm information is processed, and then add the problems into a database so as to accelerate the processing speed when the same fire alarm information is encountered next time. The processing has a problem that if the processing is data processing analysis performed afterwards, the data processing analysis is performed when the fire alarm information arrives, the timeliness is highlighted, the analysis of the cause of the fire alarm is realized when the fire alarm happens, the optimal solution of the fire alarm is ensured to be obtained at the first time, and the efficiency is improved.
The step S1 comprises the following steps:
the fire alarm system monitors through the video monitoring equipment, when a fire alarm event occurs, the fire alarm system receives fire alarm information sent from the outside, and the fire alarm occurrence position is determined through the position information of the fire alarm information and the positioning function of the video monitoring equipment.
It should be noted that: when a fire alarm event occurs, the fire alarm information is sent to the fire alarm system, the fire alarm information contains the position information of the fire alarm information during sending, and then the video monitoring equipment closest to the sending place of the fire alarm information is selected through the self-contained positioning function of the video monitoring equipment. The number of the latest video monitoring devices can be one or more, and in the embodiment of the invention, we assume that the number is one, but the number is different from the number of the latest video monitoring devices.
The step S2 comprises the following steps:
firstly, video monitoring data of a fire alarm occurrence position in two hours before the occurrence of the fire alarm is called, and meanwhile, real-time video monitoring data of the fire alarm occurrence position in the occurrence of the fire alarm is called, and the two video monitoring data are related to a data set to obtain a fire alarm occurrence reason and a traceable data set.
It should be noted that: when analyzing the cause of fire alarm, the method can not be analyzed from the current real-time video data or the video data before the alarm, and the method should be comprehensively judged by combining the prior alarm and the time of the alarm; likewise, the optimal solution should be designed specifically according to the cause of occurrence of the fire alarm by combining two video data before occurrence of the alarm and at the time of occurrence of the alarm.
The step S3 comprises the following steps:
s31, analyzing the occurrence cause of fire alarm and solving the problem of tracing the source data set omega= { A, B },
wherein A is video monitoring data of the fire alarm occurrence position two hours before the occurrence of the fire alarm, B is real-time video monitoring data of the fire alarm occurrence position when the fire alarm occurs,
analyzing the video monitoring data A to obtain a fire alarm occurrence reason, and storing and recording the fire alarm occurrence reason;
s32, analyzing the video monitoring data B, combining the occurrence reason of the fire alarm to obtain an optimal solution, and applying the optimal solution to solve the fire alarm.
It should be noted that: the video monitoring data A and B form a fire alarm occurrence reason and a traceable data set, the A can analyze the fire alarm occurrence reason, and the A and B are combined to obtain an optimal solution for the fire alarm occurrence reason on the basis of the fire alarm occurrence reason.
Step S31 includes:
s311, analyzing the video monitoring data A, checking the occurrence of the fire alarm within two hours before the occurrence of the alarm, deducing the occurrence reason of the fire alarm, recording the events which can cause the fire alarm and are seen in the video monitoring, then analyzing the occurrence reason of the fire alarm by all the events which occur in the video monitoring data A,
A={a 1 ,a 2 ,...,a n },
wherein a is n For the events occurring in the video monitoring data a, n is the number of events occurring in the video monitoring data a, and n is a positive integer not less than 3.
It should be noted that: a plurality of events are recorded in the video monitoring data A, all the events in the A are separated independently, and the fire alarm occurrence reasons are comprehensively analyzed by n events, such as inflammable gas (liquid) leakage, non-extinguishing cigarette ends, open flame and the like. The analysis of the cause of the fire alarm by combining the events is relatively more accurate.
Step S32 includes:
s321, analyzing the video monitoring data B, checking the occurrence of fire alarm, comprehensively analyzing the occurrence of fire alarm and the real-time fire control situation by combining the occurrence reason of fire alarm, obtaining the optimal solution by the events occurring in the video monitoring data A and B,
AB={a 1 b 1 ,a 2 b 2 ,...,a n b n },
wherein AB represents the set of events of all video surveillance data A and B used to obtain the best solution, a n B for events occurring in the video surveillance data a n The number of events occurring in the video monitoring data a is n, and n is a positive integer not less than 3.
It should be noted that: the video monitoring data B is an image two hours after the video monitoring data A, so that you can find the event corresponding to each event in A in B, and combine the two events, what changes happen after two hours, so as to make a judgment again, and exclude those events which may not be the cause of fire alarm information and are not important. Finally, a solution, i.e. an optimal solution, is taken for the most important event or events.
The step S4 includes:
the fire alarm system associates the fire alarm occurrence reasons with the optimal solutions to form a set form of fire alarm occurrence solution event groups, the set form is stored in a cloud server through a network and is synchronized to each video monitoring device, and the video monitoring devices store a plurality of optimal solutions and deal with different fire alarm information.
It should be noted that: after analyzing the fire alarm occurrence reasons and obtaining the optimal solutions, the two are related into a set, the set is stored to a cloud server through a network, each video monitoring device is connected to the network, each video monitoring device is synchronized through the network, and after each video monitoring device stores all the optimal solutions, the recorded optimal solutions can be adopted for rapid processing after encountering the same or similar fire alarm information, so that the efficiency is greatly improved.
In order to implement the fire alarm signal transmission monitoring method, fig. 2 is a block diagram of a fire alarm signal transmission monitoring system according to an embodiment of the present invention, where the system includes:
the alarm positioning module is used for receiving the fire alarm information of the fire alarm system, determining the occurrence position of the fire alarm and acquiring the monitoring video data of the occurrence position of the fire alarm;
the monitoring data module is used for retrieving video monitoring data of the fire alarm occurrence position in two hours before the occurrence of the fire alarm, retrieving real-time video monitoring data of the fire alarm occurrence position, and carrying out association processing on the video monitoring data and the video monitoring data to obtain a fire alarm occurrence reason and a traceable data set;
the reason analysis and solving module is used for analyzing the fire alarm occurrence reason and solving the traceability data set to obtain the fire alarm occurrence reason and the optimal solution, storing and recording the fire alarm occurrence reason and applying the optimal solution to solve the fire alarm;
the recording synchronization module is used for correlating the fire alarm occurrence reason with the optimal solution to form an alarm occurrence solution event group, storing the alarm occurrence solution event group into the cloud server and synchronizing the alarm occurrence solution event group with each video monitoring device;
and the scheme recommending module is used for marking and recommending the optimal solution so that the fire alarm occurrence solution event group preferentially selects the optimal solution.
It should be noted that: in order to realize intelligent fire control management, the existing intelligent fire control management system often adopts a fire control service database to store various data, and after fire alarm occurs, the data in the fire control service database is manually browsed.
Most of the current intelligent fire control management is to analyze some problems occurring in the fire alarm information processing process after the fire alarm information is processed, and then add the problems into a database so as to accelerate the processing speed when the same fire alarm information is encountered next time. The processing has a problem that if the processing is data processing analysis performed afterwards, the data processing analysis is performed when the fire alarm information arrives, the timeliness is highlighted, the analysis of the cause of the fire alarm is realized when the fire alarm happens, the optimal solution of the fire alarm is ensured to be obtained at the first time, and the efficiency is improved.
The alarm positioning module is used for:
the fire alarm system monitors through the video monitoring equipment, when a fire alarm event occurs, the fire alarm system receives fire alarm information sent from the outside, and the fire alarm occurrence position is determined through the position information of the fire alarm information and the positioning function of the video monitoring equipment.
It should be noted that: when a fire alarm event occurs, the fire alarm information is sent to the fire alarm system, the fire alarm information contains the position information of the fire alarm information during sending, and then the video monitoring equipment closest to the sending place of the fire alarm information is selected through the self-contained positioning function of the video monitoring equipment. The number of the latest video monitoring devices can be one or more, and in the embodiment of the invention, we assume that the number is one, but the number is different from the number of the latest video monitoring devices.
The monitoring data module is used for:
firstly, video monitoring data of a fire alarm occurrence position in two hours before the occurrence of the fire alarm is called, and meanwhile, real-time video monitoring data of the fire alarm occurrence position in the occurrence of the fire alarm is called, and the two video monitoring data are related to a data set to obtain a fire alarm occurrence reason and a traceable data set.
It should be noted that: when analyzing the cause of fire alarm, the method can not be analyzed from the current real-time video data or the video data before the alarm, and the method should be comprehensively judged by combining the prior alarm and the time of the alarm; likewise, the optimal solution should be designed specifically according to the cause of occurrence of the fire alarm by combining two video data before occurrence of the alarm and at the time of occurrence of the alarm.
The reason analysis and solution module is used for:
a fire alarm occurrence cause unit for analyzing the fire alarm occurrence cause and solving the tracing data set omega= { a, B },
wherein A is video monitoring data of the fire alarm occurrence position two hours before the occurrence of the fire alarm, B is real-time video monitoring data of the fire alarm occurrence position when the fire alarm occurs,
analyzing the video monitoring data A to obtain a fire alarm occurrence reason, and storing and recording the fire alarm occurrence reason;
and the optimal solution unit is used for analyzing the video monitoring data B and combining the occurrence reason of the fire alarm to obtain an optimal solution, and applying the optimal solution to solve the fire alarm.
It should be noted that: the video monitoring data A and B form a fire alarm occurrence reason and a traceable data set, the A can analyze the fire alarm occurrence reason, and the A and B are combined to obtain an optimal solution for the fire alarm occurrence reason on the basis of the fire alarm occurrence reason.
The fire alarm occurrence cause unit is used for:
analyzing the video monitoring data A, checking the occurrence of the fire alarm within two hours before the occurrence of the alarm, deducing the occurrence reason of the fire alarm, recording the events which can cause the fire alarm and are seen in the video monitoring, analyzing the occurrence reason of the fire alarm by all the events which occur in the video monitoring data A,
A={a 1 ,a 2 ,...,a n },
wherein a is n For the events occurring in the video monitoring data a, n is the number of events occurring in the video monitoring data a, and n is a positive integer not less than 3.
It should be noted that: a plurality of events are recorded in the video monitoring data A, all the events in the A are separated independently, and the fire alarm occurrence reasons are comprehensively analyzed by n events, such as inflammable gas (liquid) leakage, non-extinguishing cigarette ends, open flame and the like. The analysis of the cause of the fire alarm by combining the events is relatively more accurate.
The best solution unit is for:
analyzing the video monitoring data B, checking the occurrence of fire alarm, comprehensively analyzing the occurrence cause of fire alarm and real-time fire control condition in combination with the occurrence cause of fire alarm, obtaining the optimal solution by the events occurring in the video monitoring data A and B,
AB={a 1 b 1 ,a 2 b 2 ,...,a n b n },
wherein AB represents the set of events of all video surveillance data A and B used to obtain the best solution, a n B for events occurring in the video surveillance data a n The number of events occurring in the video monitoring data a is n, and n is a positive integer not less than 3.
It should be noted that: the video monitoring data B is an image two hours after the video monitoring data A, so that you can find the event corresponding to each event in A in B, and combine the two events, what changes happen after two hours, so as to make a judgment again, and exclude those events which may not be the cause of fire alarm information and are not important. Finally, a solution, i.e. an optimal solution, is taken for the most important event or events.
The record synchronization module is used for:
the fire alarm system associates the fire alarm occurrence reasons with the optimal solutions to form a set form of fire alarm occurrence solution event groups, the set form is stored in a cloud server through a network and is synchronized to each video monitoring device, and the video monitoring devices store a plurality of optimal solutions and deal with different fire alarm information.
It should be noted that: after analyzing the fire alarm occurrence reasons and obtaining the optimal solutions, the two are related into a set, the set is stored to a cloud server through a network, each video monitoring device is connected to the network, each video monitoring device is synchronized through the network, and after each video monitoring device stores all the optimal solutions, the recorded optimal solutions can be adopted for rapid processing after encountering the same or similar fire alarm information, so that the efficiency is greatly improved.
In another aspect, an embodiment of the present invention further provides an apparatus, including: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the fire alarm signal transmission supervision method.
In another aspect, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the fire alarm signal transmission supervision method.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.

Claims (10)

1. A fire alarm signal transmission supervision method, comprising the steps of:
s1, fire alarm information of a fire alarm system is received, a fire alarm occurrence position is determined, and monitoring video data of the fire alarm occurrence position is obtained;
s2, retrieving video monitoring data of the fire alarm occurrence position in two hours before the occurrence of the fire alarm, retrieving real-time video monitoring data of the fire alarm occurrence position, and performing association processing on the video monitoring data and the video monitoring data to obtain a fire alarm occurrence reason and a traceable data set;
s3, analyzing the fire alarm occurrence cause and solving the traceability data set to obtain the fire alarm occurrence cause and the optimal solution, storing and recording the fire alarm occurrence cause, and applying the optimal solution to solve the fire alarm;
s4, associating the fire alarm occurrence reason with the optimal solution to form a fire alarm occurrence solution event group, storing the fire alarm occurrence solution event group in a cloud server, and synchronizing the fire alarm occurrence solution event group with each video monitoring device;
and S5, marking and recommending the optimal solution, so that the fire alarm occurrence solution event group preferentially selects the optimal solution.
2. The fire alarm signal transmission monitoring method as set forth in claim 1, wherein the step S1 includes:
the fire alarm system monitors through the video monitoring equipment, when a fire alarm event occurs, the fire alarm system receives fire alarm information sent from the outside, and the fire alarm occurrence position is determined through the position information of the fire alarm information and the positioning function of the video monitoring equipment.
3. The fire alarm signal transmission monitoring method as set forth in claim 1, wherein the step S2 includes:
firstly, video monitoring data of a fire alarm occurrence position in two hours before the occurrence of the fire alarm is called, and meanwhile, real-time video monitoring data of the fire alarm occurrence position in the occurrence of the fire alarm is called, and the two video monitoring data are related to a data set to obtain a fire alarm occurrence reason and a traceable data set.
4. The fire alarm signal transmission monitoring method as set forth in claim 1, wherein the step S3 includes:
s31, analyzing the occurrence cause of fire alarm and solving the problem of tracing the source data set omega= { A, B },
wherein A is video monitoring data of the fire alarm occurrence position two hours before the occurrence of the fire alarm, B is real-time video monitoring data of the fire alarm occurrence position when the fire alarm occurs,
analyzing the video monitoring data A to obtain a fire alarm occurrence reason, and storing and recording the fire alarm occurrence reason;
s32, analyzing the video monitoring data B, combining the occurrence reason of the fire alarm to obtain an optimal solution, and applying the optimal solution to solve the fire alarm.
5. The fire alarm signal transmission supervision method as defined in claim 4, wherein the step S31 includes:
s311, analyzing the video monitoring data A, checking the occurrence of the fire alarm within two hours before the occurrence of the alarm, deducing the occurrence reason of the fire alarm, recording the events which can cause the fire alarm and are seen in the video monitoring, then analyzing the occurrence reason of the fire alarm by all the events which occur in the video monitoring data A,
A={a 1 ,a 2 ,...,a n },
wherein a is n For the events occurring in the video monitoring data a, n is the number of events occurring in the video monitoring data a, and n is a positive integer not less than 3.
6. The fire alarm signal transmission supervision method as defined in claim 4, wherein the step S32 includes:
s321, analyzing the video monitoring data B, checking the occurrence of fire alarm, comprehensively analyzing the occurrence of fire alarm and the real-time fire control situation by combining the occurrence reason of fire alarm, obtaining the optimal solution by the events occurring in the video monitoring data A and B,
AB={a 1 b 1 ,a 2 b 2 ,...,a n b n },
wherein AB represents the set of events of all video surveillance data A and B used to obtain the best solution, a n B for events occurring in the video surveillance data a n The number of events occurring in the video monitoring data a is n, and n is a positive integer not less than 3.
7. The fire alarm signal transmission monitoring method as set forth in claim 1, wherein the step S4 includes:
the fire alarm system associates the fire alarm occurrence reasons with the optimal solutions to form a set form of fire alarm occurrence solution event groups, the set form is stored in a cloud server through a network and is synchronized to each video monitoring device, and the video monitoring devices store a plurality of optimal solutions and deal with different fire alarm information.
8. A fire alarm signal transmission supervision system, the system comprising:
the alarm positioning module is used for receiving the fire alarm information of the fire alarm system, determining the occurrence position of the fire alarm and acquiring the monitoring video data of the occurrence position of the fire alarm;
the monitoring data module is used for retrieving video monitoring data of the fire alarm occurrence position in two hours before the occurrence of the fire alarm, retrieving real-time video monitoring data of the fire alarm occurrence position, and carrying out association processing on the video monitoring data and the video monitoring data to obtain a fire alarm occurrence reason and a traceable data set;
the reason analysis and solving module is used for analyzing the fire alarm occurrence reason and solving the traceability data set to obtain the fire alarm occurrence reason and the optimal solution, storing and recording the fire alarm occurrence reason and applying the optimal solution to solve the fire alarm;
the recording synchronization module is used for correlating the fire alarm occurrence reason with the optimal solution to form an alarm occurrence solution event group, storing the alarm occurrence solution event group into the cloud server and synchronizing the alarm occurrence solution event group with each video monitoring device;
and the scheme recommending module is used for marking and recommending the optimal solution so that the fire alarm occurrence solution event group preferentially selects the optimal solution.
9. An apparatus, the apparatus comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor performs the steps of the method according to any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method according to any of claims 1-7.
CN202310878400.1A 2023-07-18 2023-07-18 Fire alarm signal transmission supervision method and system Pending CN116935273A (en)

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CN202310878400.1A CN116935273A (en) 2023-07-18 2023-07-18 Fire alarm signal transmission supervision method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310878400.1A CN116935273A (en) 2023-07-18 2023-07-18 Fire alarm signal transmission supervision method and system

Publications (1)

Publication Number Publication Date
CN116935273A true CN116935273A (en) 2023-10-24

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