CN116935273A - Fire alarm signal transmission supervision method and system - Google Patents
Fire alarm signal transmission supervision method and system Download PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- fire alarm
- occurrence
- video monitoring
- monitoring data
- data
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000008054 signal transmission Effects 0.000 title claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims abstract description 142
- 238000012806 monitoring device Methods 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims description 19
- 238000004458 analytical method Methods 0.000 claims description 15
- 230000001360 synchronised effect Effects 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 6
- 238000007726 management method Methods 0.000 description 15
- 238000005516 engineering process Methods 0.000 description 5
- 238000007689 inspection Methods 0.000 description 4
- 235000019504 cigarettes Nutrition 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Tourism & Hospitality (AREA)
- Signal Processing (AREA)
- Software Systems (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- Computational Linguistics (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Human Resources & Organizations (AREA)
- Computer Networks & Wireless Communication (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Alarm Systems (AREA)
- Fire Alarms (AREA)
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
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.
Priority Applications (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 |
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 |
Family
ID=88378362
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310878400.1A Pending CN116935273A (en) | 2023-07-18 | 2023-07-18 | Fire alarm signal transmission supervision method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116935273A (en) |
-
2023
- 2023-07-18 CN CN202310878400.1A patent/CN116935273A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10248730B2 (en) | Statistical method and apparatus for webpage access data | |
US20200374306A1 (en) | Network traffic anomaly detection method, apparatus, computer device and storage medium | |
CN104135395B (en) | IDC data transmission in network quality control method and system | |
CN103702053B (en) | Video storage and search method and system as well as monitoring system | |
US7542428B1 (en) | Geographical network alarm viewer | |
US11461995B2 (en) | Method and apparatus for inspecting burrs of electrode slice | |
CN104167818B (en) | Intelligent remote inspection system in linkage with GIS substation integrated automation system and method | |
CN106656991A (en) | Network threat detection system and detection method | |
JPH0569356B2 (en) | ||
CN104850969A (en) | Warning condition linkage management system for audio and video evidences of law enforcement instrument | |
CN109376660B (en) | Target monitoring method, device and system | |
CN110853287A (en) | Flame real-time monitoring system and method based on Internet of things distributed architecture | |
CN112186901A (en) | Panoramic sensing monitoring method and system for transformer substation | |
CN116935273A (en) | Fire alarm signal transmission supervision method and system | |
CN110969082B (en) | Clock synchronous test inspection method and system | |
KR20220090203A (en) | Automatic Data Labeling Method based on Deep learning Object Detection amd Trace and System thereof | |
CN112182086A (en) | Data transmission interaction system and method for rear-end interface of meteorological data warehouse | |
CN106293975B (en) | Information processing method, information processing unit and information processing system | |
CN112256470A (en) | Fault server positioning method and device, storage medium and electronic equipment | |
CN116824786A (en) | Intelligent fire fighting big data supervision method and system | |
CN111695069A (en) | Police service resource visualization method, system, device and storage medium | |
CN115664006B (en) | Intelligent management and control integrated platform for incremental power distribution network | |
CN105208002A (en) | Phishing website interception method | |
CN113850144A (en) | Video reliability automatic inspection system based on image recognition | |
KR101890123B1 (en) | A device that can visually track the mutual flows and details of network traffic |
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 |