CN116863634A - Fire monitoring and early warning method and system - Google Patents
Fire monitoring and early warning method and system Download PDFInfo
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- CN116863634A CN116863634A CN202311127298.8A CN202311127298A CN116863634A CN 116863634 A CN116863634 A CN 116863634A CN 202311127298 A CN202311127298 A CN 202311127298A CN 116863634 A CN116863634 A CN 116863634A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 343
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000004458 analytical method Methods 0.000 claims abstract description 109
- 230000002159 abnormal effect Effects 0.000 claims abstract description 99
- 239000000779 smoke Substances 0.000 claims description 22
- 230000005856 abnormality Effects 0.000 claims description 20
- 238000012806 monitoring device Methods 0.000 claims description 18
- 230000009429 distress Effects 0.000 claims description 9
- 230000000694 effects Effects 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 2
- 239000003546 flue gas Substances 0.000 description 2
- 238000004868 gas analysis Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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Abstract
The application relates to the field of fire monitoring, and particularly discloses a fire monitoring and early warning method and a fire monitoring and early warning system. The application judges whether the direct abnormal state exists or not through the state monitoring of the direct monitoring, and determines a plurality of direct abnormal targets when the direct abnormal state exists, and generates an auxiliary monitoring instruction; performing opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction to acquire auxiliary monitoring data; performing fire disaster identification analysis on the auxiliary monitoring data to judge whether fire hazard exists or not; and when the fire hazard exists, identifying a fire hazard target, and carrying out fire alarming and guiding prompt. When the direct monitoring in the building has a direct abnormal state, the opposite auxiliary monitoring is carried out on the opposite building, whether the fire hazard exists or not is identified and judged, and when the fire hazard exists, a fire hazard target is identified, and fire alarming and guiding prompt are carried out, so that the effect of fire monitoring and early warning can be maintained in real time, and the potential safety hazard of special conditions is avoided.
Description
Technical Field
The application belongs to the field of fire monitoring, and particularly relates to a fire monitoring and early warning method and system.
Background
The fire monitoring utilizes electronic information technology and computer technology, and utilizes sensing element, processing and control unit mounted in fire detection alarm system to make real-time measurement and acquisition of parameters of voltage and current in electric circuit, and utilizes computer system to display monitoring result in the form of digital image and sound, etc., and can be transferred into monitor of related management personnel by means of network so as to attain the goal of preventing electric fire and ensuring safe operation of fire-fighting equipment.
In the prior art, fire monitoring in a building can only be performed through equipment in the building, and when the equipment in the building fails, power failure occurs in the building, centralized equipment overhaul occurs in the building, and the like, a 'vacuum period' of fire monitoring can occur, and the effect of fire monitoring and early warning cannot be exerted at the moment, so that the system has great potential safety hazard.
Disclosure of Invention
The embodiment of the application aims to provide a fire monitoring and early warning method and a fire monitoring and early warning system, and aims to solve the problems in the background technology.
In order to achieve the above object, the embodiment of the present application provides the following technical solutions:
a fire monitoring and early warning method, the method comprising the steps of:
performing state monitoring of direct monitoring, judging whether a direct abnormal state exists, and determining a plurality of direct abnormal targets when the direct abnormal state exists, so as to generate an auxiliary monitoring instruction;
performing opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction to acquire auxiliary monitoring data;
performing fire disaster identification analysis on the auxiliary monitoring data to judge whether fire hazard exists or not;
and when the fire hazard exists, identifying a fire hazard target, and carrying out fire alarming and guiding prompt.
As a further limitation of the technical solution of the embodiment of the present application, the state monitoring for performing direct monitoring determines whether there is a direct abnormal state, and determines a plurality of direct abnormal targets when there is a direct abnormal state, and the generating an auxiliary monitoring instruction specifically includes the following steps:
performing state monitoring of direct monitoring to obtain state monitoring data;
performing exception analysis on the state monitoring data to judge whether the state monitoring data has a direct exception state or not;
determining a plurality of direct anomaly targets when there is a direct anomaly state;
and generating auxiliary monitoring instructions according to the plurality of direct abnormal targets.
As a further limitation of the technical solution of the embodiment of the present application, the status monitoring for performing direct monitoring, and the obtaining status monitoring data specifically includes the following steps:
acquiring backup data of equipment;
identifying and recording a plurality of direct monitoring devices according to the device backup data;
generating state monitoring instructions for a plurality of the direct monitoring devices;
and carrying out state monitoring on the plurality of direct monitoring devices according to the state monitoring instruction to acquire state monitoring data.
As a further limitation of the technical solution of the embodiment of the present application, the performing, according to the auxiliary monitoring instruction, opposite auxiliary monitoring on the plurality of direct abnormal targets, and obtaining auxiliary monitoring data specifically includes the following steps:
determining an auxiliary monitoring floor according to the auxiliary monitoring instruction;
based on the auxiliary monitoring floor, monitoring and planning a plurality of direct abnormal targets, and determining auxiliary monitoring positions;
and carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets at the auxiliary monitoring position to acquire auxiliary monitoring data.
As a further limitation of the technical solution of the embodiment of the present application, the performing fire identification analysis on the auxiliary monitoring data, and determining whether there is a fire hazard specifically includes the following steps:
carrying out abnormal analysis on the auxiliary monitoring data to generate a smoke analysis result;
performing open flame anomaly analysis on the auxiliary monitoring data to generate an open flame analysis result;
carrying out help calling recognition analysis on the auxiliary monitoring data to generate a help calling recognition result;
and carrying out fire disaster identification analysis by combining the smoke analysis result, the open flame analysis result and the distress identification result to judge whether fire hazard exists.
As a further limitation of the technical scheme of the embodiment of the application, when a fire hazard exists, the method for identifying the fire hazard target and carrying out the fire alarm and the guiding prompt specifically comprises the following steps:
when a fire hazard exists, generating a target identification instruction;
identifying and marking fire hazard targets from a plurality of direct abnormal targets according to the target identification instructions;
aiming at the fire hidden danger target, carrying out fire alarming;
and carrying out guiding prompt of emergency evacuation on the building of the fire hazard target.
The system comprises a state monitoring and judging module, an opposite auxiliary monitoring module, a fire identification and analysis module and a fire alarm guiding module, wherein:
the state monitoring judging module is used for carrying out state monitoring of direct monitoring, judging whether the state monitoring module has a direct abnormal state or not, and determining a plurality of direct abnormal targets when the state monitoring module has the direct abnormal state, and generating an auxiliary monitoring instruction;
the opposite auxiliary monitoring module is used for carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction to acquire auxiliary monitoring data;
the fire disaster identification and analysis module is used for carrying out fire disaster identification and analysis on the auxiliary monitoring data and judging whether fire disaster hidden danger exists or not;
and the fire alarm guiding module is used for identifying a fire hidden danger target and carrying out fire alarm and guiding prompt when the fire hidden danger exists.
As a further limitation of the technical solution of the embodiment of the present application, the state monitoring and judging module specifically includes:
the state monitoring unit is used for performing state monitoring of direct monitoring and acquiring state monitoring data;
the abnormality analysis unit is used for carrying out abnormality analysis on the state monitoring data and judging whether the state monitoring data has a direct abnormal state or not;
a target determination unit configured to determine a plurality of direct abnormality targets when the direct abnormality state is present;
and the instruction generation unit is used for generating auxiliary monitoring instructions according to the plurality of direct abnormal targets.
As a further limitation of the technical solution of the embodiment of the present application, the opposite auxiliary monitoring module specifically includes:
the floor determining unit is used for determining an auxiliary monitoring floor according to the auxiliary monitoring instruction;
the monitoring planning unit is used for carrying out monitoring planning on a plurality of direct abnormal targets based on the auxiliary monitoring floor and determining auxiliary monitoring positions;
and the auxiliary monitoring unit is used for carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets at the auxiliary monitoring position to acquire auxiliary monitoring data.
As a further limitation of the technical solution of the embodiment of the present application, the fire disaster identification and analysis module specifically includes:
the smoke abnormality analysis unit is used for carrying out smoke abnormality analysis on the auxiliary monitoring data and generating smoke analysis results;
the open fire anomaly analysis unit is used for carrying out open fire anomaly analysis on the auxiliary monitoring data and generating an open fire analysis result;
the help calling recognition analysis unit is used for carrying out help calling recognition analysis on the auxiliary monitoring data and generating a help calling recognition result;
and the fire disaster identification and analysis unit is used for integrating the smoke analysis result, the open fire analysis result and the distress identification result, carrying out fire disaster identification and analysis and judging whether fire hazards exist.
Compared with the prior art, the application has the beneficial effects that:
according to the embodiment of the application, through the state monitoring of direct monitoring, whether the direct abnormal state exists or not is judged, and when the direct abnormal state exists, a plurality of direct abnormal targets are determined, and an auxiliary monitoring instruction is generated; performing opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction to acquire auxiliary monitoring data; performing fire disaster identification analysis on the auxiliary monitoring data to judge whether fire hazard exists or not; and when the fire hazard exists, identifying a fire hazard target, and carrying out fire alarming and guiding prompt. When the direct monitoring in the building has a direct abnormal state, the opposite auxiliary monitoring is carried out on the opposite building, whether the fire hazard exists or not is identified and judged, and when the fire hazard exists, a fire hazard target is identified, and fire alarming and guiding prompt are carried out, so that the effect of fire monitoring and early warning can be maintained in real time, and the potential safety hazard of special conditions is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present application.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present application.
Fig. 2 shows a flow chart of directly monitored condition monitoring in the method provided by the embodiment of the application.
Fig. 3 shows a flowchart of acquiring status monitoring data in the method according to the embodiment of the present application.
Fig. 4 shows a flowchart of performing face-to-face auxiliary monitoring in the method according to the embodiment of the present application.
Fig. 5 shows a flow chart of fire identification analysis performed in the method according to the embodiment of the present application.
FIG. 6 shows a flow chart of a fire alarm and guidance prompt in a method provided by an embodiment of the application.
Fig. 7 shows an application architecture diagram of a system provided by an embodiment of the present application.
Fig. 8 is a block diagram illustrating a configuration of a status monitoring and judging module in a system according to an embodiment of the present application.
Fig. 9 shows a block diagram of a configuration of an opposite auxiliary monitoring module in the system according to an embodiment of the present application.
Fig. 10 shows a block diagram of a fire identification analysis module in the system according to the embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It can be understood that in the prior art, fire monitoring in a building can only be performed through equipment in the building, and when equipment in the building fails, power failure occurs in the building, centralized equipment overhaul occurs in the building, and the like, a 'vacuum period' of fire monitoring can occur, and the effect of fire monitoring and early warning cannot be exerted at this time, so that the system has great potential safety hazard.
In order to solve the problems, the embodiment of the application judges whether the direct abnormal state exists or not through the state monitoring of direct monitoring, and determines a plurality of direct abnormal targets when the direct abnormal state exists, so as to generate an auxiliary monitoring instruction; performing opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction to acquire auxiliary monitoring data; performing fire disaster identification analysis on the auxiliary monitoring data to judge whether fire hazard exists or not; and when the fire hazard exists, identifying a fire hazard target, and carrying out fire alarming and guiding prompt. When the direct monitoring in the building has a direct abnormal state, the opposite auxiliary monitoring is carried out on the opposite building, whether the fire hazard exists or not is identified and judged, and when the fire hazard exists, a fire hazard target is identified, and fire alarming and guiding prompt are carried out, so that the effect of fire monitoring and early warning can be maintained in real time, and the potential safety hazard of special conditions is avoided.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present application.
Specifically, in a preferred embodiment provided by the present application, a fire monitoring and early warning method includes the following steps:
step S101, performing direct monitoring state monitoring, judging whether the direct abnormal state exists, and determining a plurality of direct abnormal targets when the direct abnormal state exists, so as to generate an auxiliary monitoring instruction.
In the embodiment of the application, in a building, first, direct monitoring and early warning are carried out through fire monitoring equipment in the building, equipment backup data of the fire monitoring equipment in the building are acquired, then the equipment backup data are identified, a plurality of direct monitoring equipment which is arranged in the building and used for carrying out direct monitoring are determined, state monitoring instructions aiming at the plurality of direct monitoring equipment are generated, state monitoring is carried out on the plurality of direct monitoring equipment according to the state monitoring instructions, the state monitoring data are acquired, further, abnormality analysis is carried out on the state monitoring data, whether a direct abnormal state exists is judged, when the direct abnormal state exists, a plurality of direct abnormal targets are determined from the plurality of direct monitoring equipment, and corresponding auxiliary monitoring instructions are generated according to the plurality of direct abnormal targets.
It can be understood that when equipment in the building fails, power failure occurs in the building, centralized equipment overhaul occurs in the building, and the like, a direct abnormal state occurs.
Specifically, fig. 2 shows a flow chart of directly monitored state monitoring in the method provided by the embodiment of the application.
In the preferred embodiment of the present application, the monitoring of the state for direct monitoring determines whether there is a direct abnormal state, and determines a plurality of direct abnormal targets when there is a direct abnormal state, and the generating the auxiliary monitoring instruction specifically includes the following steps:
step S1011, performing state monitoring of direct monitoring to obtain state monitoring data;
step S1012, carrying out anomaly analysis on the state monitoring data to judge whether the state monitoring data has a direct anomaly state or not;
step S1013, when the direct abnormal state exists, determining a plurality of direct abnormal targets;
step S1014, generating an auxiliary monitoring instruction according to a plurality of the direct anomaly targets.
Specifically, fig. 3 shows a flowchart of acquiring status monitoring data in the method provided by the embodiment of the present application.
In the preferred embodiment of the present application, the method for directly monitoring the status of the vehicle includes the following steps:
step S10111, obtaining equipment backup data;
step S10112, identifying and recording a plurality of direct monitoring devices according to the device backup data;
step S10113, generating state monitoring instructions for a plurality of the direct monitoring devices;
step S10114, performing state monitoring on the plurality of direct monitoring devices according to the state monitoring instruction, to obtain state monitoring data.
Further, the fire monitoring and early warning method further comprises the following steps:
and step S102, carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction, and obtaining auxiliary monitoring data.
In the embodiment of the application, an auxiliary monitoring building is selected from the vicinity of the building with the direct abnormal state according to an auxiliary monitoring instruction, one side of the auxiliary monitoring building facing the building with the direct abnormal state is determined as an auxiliary monitoring building surface, the auxiliary monitoring building surface is taken as a basic surface, a plurality of direct abnormal targets are monitored and planned, an auxiliary monitoring position is determined, monitoring adjustment is carried out according to the auxiliary monitoring position, after the monitoring adjustment is completed, opposite auxiliary monitoring is carried out on the plurality of direct abnormal targets at the auxiliary monitoring position, and auxiliary monitoring data are obtained.
Specifically, fig. 4 shows a flowchart of performing face-to-face auxiliary monitoring in the method provided by the embodiment of the present application.
In a preferred embodiment of the present application, the performing, according to the auxiliary monitoring instruction, opposite auxiliary monitoring on the plurality of direct abnormal targets, and obtaining auxiliary monitoring data specifically includes the following steps:
step S1021, determining an auxiliary monitoring floor according to the auxiliary monitoring instruction;
step S1022, monitoring and planning a plurality of direct abnormal targets based on the auxiliary monitoring floor, and determining auxiliary monitoring positions;
step S1023, performing opposite auxiliary monitoring on a plurality of direct abnormal targets at the auxiliary monitoring position to acquire auxiliary monitoring data.
Further, the fire monitoring and early warning method further comprises the following steps:
and step S103, performing fire disaster identification analysis on the auxiliary monitoring data to judge whether fire hazard exists.
In the embodiment of the application, the smoke analysis result is generated by carrying out recognition analysis on the smoke abnormality of the auxiliary monitoring data, then the open fire abnormality is recognized and analyzed on the auxiliary monitoring data, the open fire analysis result is generated, the help calling recognition result is generated by carrying out recognition analysis on the help calling of the auxiliary monitoring data, and the fire recognition analysis is carried out comprehensively on the smoke analysis result, the open fire analysis result and the help calling recognition result to judge whether a building with a direct abnormal state has fire hidden danger or not.
Specifically, fig. 5 shows a flowchart of fire identification analysis performed in the method provided by the embodiment of the application.
In a preferred embodiment of the present application, the fire identification analysis is performed on the auxiliary monitoring data, and the judging whether there is a fire hazard specifically includes the following steps:
step S1031, carrying out abnormal analysis on the auxiliary monitoring data to generate a smoke analysis result;
step S1032, performing open flame abnormality analysis on the auxiliary monitoring data to generate an open flame analysis result;
step S1033, carrying out help calling recognition analysis on the auxiliary monitoring data to generate a help calling recognition result;
and step S1034, carrying out fire disaster identification analysis by integrating the flue gas analysis result, the open fire analysis result and the distress identification result, and judging whether fire hazards exist.
Further, the fire monitoring and early warning method further comprises the following steps:
and step S104, when the fire hazard exists, identifying a fire hazard target, and carrying out fire alarming and guiding prompt.
In the embodiment of the application, under the condition that a building with a direct abnormal state has a fire hazard, a target identification instruction is generated, the direct abnormal target with the fire hazard is identified from a plurality of direct abnormal targets according to the target identification instruction and marked as the fire hazard target, and then the fire hazard target is subjected to fire hazard alarm, meanwhile, the building with the fire hazard target is subjected to emergency evacuation guiding prompt, and people in the building with the fire hazard target are remotely guided to evacuate.
Specifically, fig. 6 shows a flowchart of a fire alarm and guidance prompt in the method provided by the embodiment of the application.
In the preferred embodiment provided by the application, when a fire hazard exists, the fire hazard target is identified, and the fire hazard warning and guiding prompt specifically comprises the following steps:
step S1041, when there is fire hidden danger, generating a target identification instruction;
step S1042, identifying and marking fire hidden danger targets from a plurality of direct abnormal targets according to the target identification instruction;
step S1043, aiming at the fire hidden danger target, performing fire alarming;
step S1044, performing a guiding prompt for emergency evacuation for the building of the fire hazard target.
Further, fig. 7 shows an application architecture diagram of the system provided by the embodiment of the present application.
In another preferred embodiment of the present application, a fire monitoring and early warning system includes:
the state monitoring and judging module 101 is configured to perform state monitoring of direct monitoring, judge whether a direct abnormal state exists, and determine a plurality of direct abnormal targets when the direct abnormal state exists, and generate an auxiliary monitoring instruction.
In the embodiment of the application, in a building, first, a fire monitoring device in the building is used for direct monitoring and early warning, a state monitoring and judging module 101 is used for acquiring device backup data of the fire monitoring device in the building, identifying the device backup data, determining a plurality of direct monitoring devices which are arranged in the building and used for direct monitoring, generating state monitoring instructions aiming at the plurality of direct monitoring devices, carrying out state monitoring on the plurality of direct monitoring devices according to the state monitoring instructions, acquiring the state monitoring data, carrying out anomaly analysis on the state monitoring data, judging whether the fire monitoring device has a direct anomaly state, and determining a plurality of direct anomaly targets from the plurality of direct monitoring devices when the fire monitoring device has the direct anomaly state, and generating corresponding auxiliary monitoring instructions according to the plurality of direct monitoring devices.
Specifically, fig. 8 shows a block diagram of a state monitoring and judging module 101 in the system according to an embodiment of the present application.
In a preferred embodiment of the present application, the status monitoring and judging module 101 specifically includes:
a state monitoring unit 1011 for performing state monitoring of direct monitoring to obtain state monitoring data;
an anomaly analysis unit 1012 for performing anomaly analysis on the state monitoring data to determine whether there is a direct anomaly state;
a target determination unit 1013 for determining a plurality of direct abnormality targets when there is a direct abnormality state;
an instruction generating unit 1014 for generating an auxiliary monitoring instruction according to a plurality of the direct anomaly targets.
Further, the fire monitoring and early warning system further comprises:
and the opposite auxiliary monitoring module 102 is configured to perform opposite auxiliary monitoring on the multiple direct abnormal targets according to the auxiliary monitoring instruction, so as to obtain auxiliary monitoring data.
In the embodiment of the present application, the opposite auxiliary monitoring module 102 selects an auxiliary monitoring building from the vicinity of the building having the direct abnormal state according to an auxiliary monitoring instruction, determines a side of the auxiliary monitoring building facing the building having the direct abnormal state as an auxiliary monitoring floor, monitors and plans a plurality of direct abnormal targets based on the auxiliary monitoring floor, determines an auxiliary monitoring position, performs monitoring adjustment according to the auxiliary monitoring position, performs opposite auxiliary monitoring on the plurality of direct abnormal targets at the auxiliary monitoring position after the monitoring adjustment is completed, and acquires auxiliary monitoring data.
Specifically, fig. 9 shows a block diagram of the configuration of the opposite auxiliary monitoring module 102 in the system according to the embodiment of the present application.
In a preferred embodiment of the present application, the opposite auxiliary monitoring module 102 specifically includes:
a floor determining unit 1021 for determining an auxiliary monitoring floor according to the auxiliary monitoring instruction;
a monitoring planning unit 1022, configured to perform monitoring planning on the plurality of direct abnormal targets based on the auxiliary monitoring floor, and determine an auxiliary monitoring position;
and the auxiliary monitoring unit 1023 is used for carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets at the auxiliary monitoring position to acquire auxiliary monitoring data.
Further, the fire monitoring and early warning system further comprises:
and the fire disaster identification and analysis module 103 is used for carrying out fire disaster identification and analysis on the auxiliary monitoring data and judging whether the auxiliary monitoring data has fire disaster hidden danger.
In the embodiment of the application, the fire disaster recognition analysis module 103 generates a smoke disaster analysis result by performing recognition analysis of smoke abnormality on the auxiliary monitoring data, performs recognition analysis of open fire abnormality on the auxiliary monitoring data to generate an open fire analysis result, performs recognition analysis of distress call on the auxiliary monitoring data to generate a distress call recognition result, performs comprehensive fire disaster recognition analysis on the smoke disaster analysis result, the open fire analysis result and the distress call recognition result, and judges whether a building with a direct abnormal state has fire hidden danger.
Specifically, fig. 10 shows a block diagram of a fire identification analysis module 103 in the system according to an embodiment of the present application.
In a preferred embodiment of the present application, the fire identification and analysis module 103 specifically includes:
the smoke anomaly analysis unit 1031 is configured to perform smoke anomaly analysis on the auxiliary monitoring data, and generate a smoke analysis result;
the open fire anomaly analysis unit 1032 is used for carrying out open fire anomaly analysis on the auxiliary monitoring data to generate an open fire analysis result;
the help calling recognition analysis unit 1033 is used for carrying out help calling recognition analysis on the auxiliary monitoring data and generating a help calling recognition result;
and a fire identification analysis unit 1034, configured to integrate the flue gas analysis result, the open fire analysis result and the distress identification result, perform fire identification analysis, and determine whether there is a fire hidden danger.
Further, the fire monitoring and early warning system further comprises:
the fire alarm guiding module 104 is used for identifying a fire hidden danger target and carrying out fire alarm and guiding prompt when the fire hidden danger exists.
In the embodiment of the present application, when a building with a direct abnormal state has a fire hazard, the fire alarm guiding module 104 generates a target recognition instruction, and according to the target recognition instruction, recognizes a direct abnormal target with a fire hazard from a plurality of direct abnormal targets, marks the direct abnormal target as a fire hazard target, and further carries out fire alarm for the fire hazard target, and simultaneously carries out emergency evacuation guiding prompt for the building with the fire hazard target, and remotely guides people in the building with the fire hazard target to evacuate.
It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the application.
Claims (10)
1. The fire monitoring and early warning method is characterized by comprising the following steps of:
performing state monitoring of direct monitoring, judging whether a direct abnormal state exists, and determining a plurality of direct abnormal targets when the direct abnormal state exists, so as to generate an auxiliary monitoring instruction;
performing opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction to acquire auxiliary monitoring data;
performing fire disaster identification analysis on the auxiliary monitoring data to judge whether fire hazard exists or not;
and when the fire hazard exists, identifying a fire hazard target, and carrying out fire alarming and guiding prompt.
2. The fire monitoring and early warning method according to claim 1, wherein the monitoring of the status of the direct monitoring determines whether there is a direct abnormal status, and determines a plurality of direct abnormal targets when there is a direct abnormal status, and generating the auxiliary monitoring instruction specifically includes the steps of:
performing state monitoring of direct monitoring to obtain state monitoring data;
performing exception analysis on the state monitoring data to judge whether the state monitoring data has a direct exception state or not;
determining a plurality of direct anomaly targets when there is a direct anomaly state;
and generating auxiliary monitoring instructions according to the plurality of direct abnormal targets.
3. The fire monitoring and early warning method according to claim 2, wherein the status monitoring for direct monitoring, the acquiring status monitoring data specifically includes the following steps:
acquiring backup data of equipment;
identifying and recording a plurality of direct monitoring devices according to the device backup data;
generating state monitoring instructions for a plurality of the direct monitoring devices;
and carrying out state monitoring on the plurality of direct monitoring devices according to the state monitoring instruction to acquire state monitoring data.
4. The fire monitoring and early warning method according to claim 1, wherein the performing the face-to-face auxiliary monitoring on the plurality of direct abnormal targets according to the auxiliary monitoring instruction, and acquiring auxiliary monitoring data specifically includes the following steps:
determining an auxiliary monitoring floor according to the auxiliary monitoring instruction;
based on the auxiliary monitoring floor, monitoring and planning a plurality of direct abnormal targets, and determining auxiliary monitoring positions;
and carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets at the auxiliary monitoring position to acquire auxiliary monitoring data.
5. The fire monitoring and early warning method according to claim 1, wherein the performing fire identification analysis on the auxiliary monitoring data to determine whether there is a fire hazard specifically includes the following steps:
carrying out abnormal analysis on the auxiliary monitoring data to generate a smoke analysis result;
performing open flame anomaly analysis on the auxiliary monitoring data to generate an open flame analysis result;
carrying out help calling recognition analysis on the auxiliary monitoring data to generate a help calling recognition result;
and carrying out fire disaster identification analysis by combining the smoke analysis result, the open flame analysis result and the distress identification result to judge whether fire hazard exists.
6. The fire monitoring and early warning method according to claim 1, wherein the identifying the fire hazard target when there is a fire hazard, and performing the fire alarm and the guidance prompt specifically comprises the steps of:
when a fire hazard exists, generating a target identification instruction;
identifying and marking fire hazard targets from a plurality of direct abnormal targets according to the target identification instructions;
aiming at the fire hidden danger target, carrying out fire alarming;
and carrying out guiding prompt of emergency evacuation on the building of the fire hazard target.
7. The fire monitoring and early warning system is characterized by comprising a state monitoring and judging module, an opposite auxiliary monitoring module, a fire identification and analysis module and a fire alarm guiding module, wherein:
the state monitoring judging module is used for carrying out state monitoring of direct monitoring, judging whether the state monitoring module has a direct abnormal state or not, and determining a plurality of direct abnormal targets when the state monitoring module has the direct abnormal state, and generating an auxiliary monitoring instruction;
the opposite auxiliary monitoring module is used for carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets according to the auxiliary monitoring instruction to acquire auxiliary monitoring data;
the fire disaster identification and analysis module is used for carrying out fire disaster identification and analysis on the auxiliary monitoring data and judging whether fire disaster hidden danger exists or not;
and the fire alarm guiding module is used for identifying a fire hidden danger target and carrying out fire alarm and guiding prompt when the fire hidden danger exists.
8. The fire monitoring and early warning system according to claim 7, wherein the status monitoring and judging module specifically comprises:
the state monitoring unit is used for performing state monitoring of direct monitoring and acquiring state monitoring data;
the abnormality analysis unit is used for carrying out abnormality analysis on the state monitoring data and judging whether the state monitoring data has a direct abnormal state or not;
a target determination unit configured to determine a plurality of direct abnormality targets when the direct abnormality state is present;
and the instruction generation unit is used for generating auxiliary monitoring instructions according to the plurality of direct abnormal targets.
9. The fire monitoring and early warning system of claim 7, wherein the opposite auxiliary monitoring module specifically comprises:
the floor determining unit is used for determining an auxiliary monitoring floor according to the auxiliary monitoring instruction;
the monitoring planning unit is used for carrying out monitoring planning on a plurality of direct abnormal targets based on the auxiliary monitoring floor and determining auxiliary monitoring positions;
and the auxiliary monitoring unit is used for carrying out opposite auxiliary monitoring on a plurality of direct abnormal targets at the auxiliary monitoring position to acquire auxiliary monitoring data.
10. The fire monitoring and early warning system of claim 7, wherein the fire identification and analysis module specifically comprises:
the smoke abnormality analysis unit is used for carrying out smoke abnormality analysis on the auxiliary monitoring data and generating smoke analysis results;
the open fire anomaly analysis unit is used for carrying out open fire anomaly analysis on the auxiliary monitoring data and generating an open fire analysis result;
the help calling recognition analysis unit is used for carrying out help calling recognition analysis on the auxiliary monitoring data and generating a help calling recognition result;
and the fire disaster identification and analysis unit is used for integrating the smoke analysis result, the open fire analysis result and the distress identification result, carrying out fire disaster identification and analysis and judging whether fire hazards exist.
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