CN111882806B - Indoor fire-fighting threat identification method and system - Google Patents
Indoor fire-fighting threat identification method and system Download PDFInfo
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- CN111882806B CN111882806B CN202010567075.3A CN202010567075A CN111882806B CN 111882806 B CN111882806 B CN 111882806B CN 202010567075 A CN202010567075 A CN 202010567075A CN 111882806 B CN111882806 B CN 111882806B
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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- 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
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- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
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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
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
Abstract
The invention discloses an indoor fire-fighting threat identification method and system. The method comprises the following steps: establishing a set; judging whether fire-fighting threats exist indoors or not according to indoor environment data and/or environment data in the building and/or fire-fighting data outside the building; an indoor fire threat level is identified based on the indoor environmental data and/or environmental data within the building and/or fire data outside the building. The method and the system solve the technical problem of how to comprehensively identify the indoor fire-fighting threat and the threat level by combining the indoor environment data and the outdoor fire-fighting data.
Description
Technical Field
The invention belongs to the technical field of intelligent fire fighting, and particularly relates to an indoor fire fighting threat identification method and system.
Background
The current indoor fire fighting is mainly realized by sensor monitoring and alarming. The existing indoor fire fighting technology, for example, chinese patent "an indoor emergency aid device and mutual aid system" with publication number CN207052060U, proposes to monitor indoor environment parameters in real time, and through the collection and analysis of real-time environment information, when detecting that the indoor environment is abnormal or the harmful substance is abnormal, initiate multi-level emergency call service through the wireless communication module and the indoor intelligent home system in a linkage manner. Chinese patent CN110705071A, a method for fire fighting three-dimensional digital pre-planning with fire prediction model, proposes to build a three-dimensional visual model of a building structure according to a building structure drawing, and input the fire prediction model according to the internal hierarchical structure information of the building structure, the material attribute of the room where a fire occurs, the material parameter information, and the weather information when a fire occurs of the three-dimensional visual model to obtain a fire spreading trend analysis result.
Above-mentioned indoor fire control technique mainly realizes indoor fire control early warning through indoor environmental monitoring, but when outdoor fire control incident can influence indoor safety or indoor environmental monitoring sensor has the trouble and can not in time respond to, can bring harm for indoor personnel and property.
At present, no technical scheme for comprehensively identifying the indoor fire-fighting threat by combining indoor environment data and outdoor fire-fighting data exists. Therefore, an indoor fire-fighting threat identification method and system are provided.
Disclosure of Invention
In order to solve the above problems, the present invention provides an indoor fire-fighting threat identification method and system.
The invention relies on the environment monitoring sensors deployed indoors and outdoors in the community, and the environment monitoring sensors comprise a temperature sensor, a sound sensor, a smoke alarm and the like.
The invention discloses an indoor fire-fighting threat identification method, which comprises the following steps:
and judging whether fire-fighting threats exist indoors or not according to the indoor environment data and/or the environment data in the building and/or the fire-fighting data outside the building.
The specific description is as follows:
the step of judging whether the fire-fighting threat exists indoors or not according to the indoor environment data and/or the environment data in the building and/or the fire-fighting data outside the building comprises the following steps: judging whether the indoor has the fire-fighting threat according to the indoor environment data, judging whether the indoor has the fire-fighting threat according to the environment data in the building, judging whether the indoor has the fire-fighting threat according to the fire-fighting data outside the building, judging whether the indoor has the fire-fighting threat according to the indoor environment data and the environment data in the building, judging whether the indoor has the fire-fighting threat according to the indoor environment data and the fire-fighting data outside the building, judging whether the indoor has the fire-fighting threat according to the environment data in the building and the environment data outside the building, and judging whether the indoor has the fire-fighting threat according to the indoor environment data, the environment data in the building and the fire-fighting data outside the building.
Preferably, the indoor environment data includes any one or more of temperature data, smoke data, sound data, light data acquired by an indoor environment monitoring sensor.
Preferably, the environment data in the building comprises any one or more of temperature data, smoke data, sound data and light data of different areas of the building where the indoor space is located;
further preferably, the different areas within the building include any one or more of an interior area of the building within a different range of distance from the indoor location, an interior area of the building on a different floor from the indoor location.
Preferably, the fire fighting data outside the building comprises any one or more of fire event data, fire rescue data for an outside area within a different range of distance from the building.
Preferably, the fire threat is any one or more of a direct fire hazard to the indoor environment, a threat to the indoor environment from a fire hazard to be extinguished within the building, and a threat to the indoor environment from the spread of a fire event outside the building.
Preferably, the judging whether the indoor fire threat exists or not according to the indoor environment data and/or the environment data in the building and/or the fire data outside the building is to judge whether the indoor fire threat exists or not according to whether the sensing data acquired by the indoor environment monitoring sensor is larger than a certain threshold value or not, identify the fire hazards in different areas in the building according to whether the sensing data in different areas of the building where the indoor fire is located is larger than a certain threshold value or not and judge whether the indoor fire threat exists or not, identify whether the direction and the range of the change development of the fire incident covers the area of the building according to the fire data which are within different ranges of the distance from the building and judge whether the fire threat exists or not, jointly judge whether the indoor fire threat exists or not according to whether the sensing data in the indoor area and the different areas of the building where the indoor fire incident is located are larger than a certain threshold value or not, and judge whether the indoor fire threat exists or not according to whether the sensing data in the indoor area is larger than a certain threshold value and the fire incident outside area of the distance from the building within different ranges The method comprises the following steps that data identification is carried out to judge whether the direction and the range of the change development of the fire event cover a building area or not, whether the change development of the fire event covers the building area or not is judged according to whether the sensing data of different areas in the building where the indoor is located are larger than a certain threshold value or not, and whether the distance of the sensing data of external areas with the distance of the building in different ranges is larger than the certain threshold value or not, whether the change development of the fire event covers the building area or not is judged, and whether the change development of the fire event covers the building area or not is judged.
The invention discloses an indoor fire-fighting threat level identification method, which is characterized by comprising the following steps:
an indoor fire threat level is identified based on the indoor environmental data and/or environmental data within the building and/or fire data outside the building.
The specific description is as follows:
identifying an indoor fire threat level from indoor environmental data and/or environmental data within a building and/or fire data outside the building includes: identifying an indoor fire threat level from the indoor environment data, identifying an indoor fire threat level from the in-building environment data, identifying an indoor fire threat level from the out-of-building fire data, identifying an indoor fire threat level from the indoor environment data and the in-building environment data, identifying an indoor fire threat level from the indoor environment data and the out-of-building fire data, identifying an indoor fire threat level from the in-building environment data and the out-of-building fire data, identifying an indoor fire threat level from the indoor environment data and the in-building environment data and the out-of-building fire data.
The identification of the indoor fire-fighting threat level according to the indoor environment data and/or the environment data in the building and/or the fire data outside the building comprises the steps of calculating threat weight values according to the environment data acquired by an indoor environment monitoring sensor and identifying the indoor fire-fighting threat level according to the threat weight values, calculating the threat weight values of different areas in the building according to the environment data of different areas of the building where the indoor fire is located and identifying the indoor fire-fighting threat level according to the fire-fighting event data and/or the fire rescue data of external areas which are different in range from the building, identifying the direction and range of the change and development of the fire-fighting event according to the fire-fighting event data and/or the fire rescue data of the external areas which are different in range from the building, calculating the threat weight values according to the environment data of different areas of the indoor and the indoor fire-fighting threat level according to the combination of the environment data and the fire-fighting event data and the fire data of the external areas which are different in range from the building and the indoor environment data and the fire-fighting event data and the external areas And/or the fire rescue data jointly calculates threat weight values and identifies indoor fire threat levels according to the threat weight values, the environment data of different areas in the building where the indoor environment is located and the fire event data and/or the fire rescue data of external areas which are at different distances from the building are jointly calculated, the indoor fire threat levels are identified according to the threat weight values, and the threat weight values are jointly calculated according to the environment data of different areas in the building where the indoor environment is located and the fire event data and/or the fire rescue data of external areas which are at different distances from the building are jointly calculated, and the indoor fire threat levels are identified according to the threat weight values.
The environmental data is any one or more of temperature data, smoke data, sound data, light data.
A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the above method.
An indoor fire-fighting threat identification system, comprising:
an environmental monitoring sensor;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the above-described method.
The method and the system of the invention have the advantages that:
(1) according to the indoor environmental data and the environmental data of the outdoor adjacent regions, whether the indoor direct and indirect fire-fighting hidden dangers exist is judged, and the potential safety hazards caused by the fire-fighting events of the outdoor adjacent regions to the indoor environment can be effectively identified.
(2) The change trend of the external fire-fighting events is calculated according to the environmental data in a certain range of the community, and the influence area of the external fire-fighting events is identified, so that whether the external fire-fighting events far away from the indoor space influence the indoor safety is effectively judged, and personal and property losses caused by expansion or spread of the fire-fighting events to the indoor space are reduced.
Drawings
FIG. 1 is a block diagram of an implementation of an indoor fire threat identification method according to an embodiment of the invention;
fig. 2 is a flowchart of an indoor fire threat identification method according to an embodiment of the present invention.
Detailed Description
The following is a detailed description of preferred embodiments of the invention.
The embodiment of the invention relies on indoor and outdoor deployed environment monitoring sensors, including temperature sensors, sound sensors, smoke alarms and the like.
An execution block diagram of the indoor fire-fighting threat identification method of the embodiment of the invention is shown in fig. 1, environment monitoring sensors deployed indoors and/or in a building and/or outside the building acquire environment data, and a fire-fighting control center judges whether a fire-fighting threat exists indoors or not according to the indoor environment data and/or the environment data in the building and/or the fire-fighting data outside the building. The fire-fighting threat is the fire-fighting threat of the indoor environment with the direct existence of the fire-fighting hidden danger and/or the influence of the fire-fighting hidden danger in the building on the indoor environment and/or the spread of the fire-fighting event outside the building on the indoor environment.
An embodiment of the method for identifying an indoor fire threat of the present invention, a flowchart of which is shown in fig. 2, includes:
and acquiring indoor environment data and/or environment data in the building and/or fire fighting data outside the building, and judging whether fire fighting threats exist indoors or not according to the indoor environment data and/or the environment data in the building and/or the fire fighting data outside the building.
The indoor environment data comprises any one or more of temperature data, smoke data, sound data and light data acquired by an indoor environment monitoring sensor.
The environment data in the building comprises any one or more of temperature data, smoke data, sound data and light data of different areas of the building where the indoor space is located; the different areas within the building include any one or more of an interior area of the building at a different distance range from the indoor location, an interior area of the building at a different floor from the indoor location.
The fire fighting data outside the building includes any one or more of fire event data, fire rescue data for an outside area within a different range of distance from the building.
The fire-fighting threat is any one or more of the fire-fighting hidden danger directly existing in the indoor environment, the threat of the fire-fighting hidden danger in the building to the indoor environment, and the threat of the spread of the fire-fighting event outside the building to the indoor environment.
The judging whether the fire-fighting threat exists indoors or not according to the indoor environment data and/or the environment data in the building and/or the fire-fighting data outside the building comprises the following steps: judging whether the indoor has the fire-fighting threat according to the indoor environment data, judging whether the indoor has the fire-fighting threat according to the environment data in the building, judging whether the indoor has the fire-fighting threat according to the fire-fighting data outside the building, judging whether the indoor has the fire-fighting threat according to the indoor environment data and the environment data in the building, judging whether the indoor has the fire-fighting threat according to the indoor environment data and the fire-fighting data outside the building, judging whether the indoor has the fire-fighting threat according to the environment data in the building and the environment data outside the building, and judging whether the indoor has the fire-fighting threat according to the indoor environment data, the environment data in the building and the fire-fighting data outside the building.
Table A, A1-A7, shows various embodiments for identifying fire threats indoors
The embodiment of the indoor fire-fighting threat level identification method comprises the following steps:
an indoor fire threat level is identified based on the indoor environmental data and/or environmental data within the building and/or fire data outside the building.
The method for identifying the indoor fire-fighting threat level according to the indoor environment data and/or the environment data in the building and/or the fire-fighting data outside the building comprises the following steps: calculating threat weight values according to environment data acquired by an indoor environment monitoring sensor and identifying indoor fire threat levels according to the threat weight values, calculating threat weight values of different areas in a building according to environment data of different areas of the building where the indoor environment monitoring sensor is located and identifying the indoor fire threat levels according to the threat weight values, identifying the direction and range of the change and development of a fire incident according to fire incident data and/or fire rescue data of external areas which are different from the building where the indoor environment monitoring sensor is located and identifying the indoor fire threat levels according to the threat weight values, jointly calculating the threat weight values according to the environment data of different areas of the building where the indoor environment monitoring sensor is located and identifying the indoor fire threat levels according to the threat weight values, jointly calculating the threat weight values according to the indoor environment data and the fire incident data and/or fire rescue data of external areas which are different from the building where the indoor environment monitoring sensor is located and identifying the indoor fire threat levels according to the fire incident data and/or fire rescue data of the external areas where the indoor environment monitoring sensor is located and identifying the indoor fire incident threat levels, The method comprises the steps of jointly calculating threat weight values according to environment data of different areas in a building where the indoor space is located and fire event data and/or fire rescue data of external areas which are located in different ranges from the building, and accordingly identifying indoor fire threat levels, and jointly calculating the threat weight values according to the environment data of different areas in the building where the indoor space is located and the fire event data and/or fire rescue data of the external areas which are located in different ranges from the building, and accordingly identifying any one of the indoor fire threat levels.
The environmental data includes any one or more of temperature data, smoke data, sound data, light data.
Table B, B1-B7 show different embodiments of identifying indoor fire threat levels
And judging whether the fire-fighting threat exists indoors or not according to any one of the tables A, calculating and identifying the level of the fire-fighting threat according to any one of the tables B, and sending out fire-fighting early warning according to the level.
A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of the above embodiment.
The indoor fire-fighting threat identification system of the embodiment of the invention is characterized by comprising the following components:
an environmental monitoring sensor;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the method of any of the embodiments described above.
Of course, those skilled in the art should realize that the above embodiments are only used for illustrating the present invention, and not as a limitation of the present invention, and that changes and modifications to the above embodiments are within the scope of the present invention.
Claims (8)
1. An indoor fire-fighting threat identification method, characterized by:
judging whether fire-fighting threats exist indoors or not according to indoor environment data and/or environment data in the building and/or fire-fighting data outside the building;
the judgment of whether the indoor fire-fighting threat exists or not according to the indoor environment data and/or the environment data in the building and/or the fire-fighting data outside the building is to identify the fire-fighting hidden dangers in different areas in the building according to whether the sensing data of different areas of the building where the indoor environment exists are larger than a certain threshold value or not and judge whether the indoor fire-fighting threat exists or not, jointly judge whether the indoor fire-fighting threat exists or not according to whether the sensing data of different areas in the building where the indoor environment exists are larger than a certain threshold value or not and identify the direction of the change development of the fire-fighting event and whether the area of the change of the fire-fighting event covers the building or not according to whether the sensing data of different areas of the building where the indoor environment exists are larger than a certain threshold value or not and judge whether the area of the fire-fighting event covers the area outside area with the distance of the building in different ranges or not according to whether the sensing data of different areas of the indoor environment and the building where the indoor environment exist are larger than a certain threshold value or not and the fire-fighting data of the outside area of the building with the distance of the building in different ranges The data identification is used for identifying whether the direction and the range of the change and the development of the fire event cover the area of the building or not and judging whether any one of the fire threats to the indoor environment is generated or not;
the different areas of the building include any one or more of an interior area of the building at a different distance range from the indoor location, an interior area of the building at a different floor from the indoor location;
the method comprises the following steps of identifying fire-fighting hidden dangers of different areas in a building according to whether sensing data of the different areas of the building where the indoor space is located are larger than a certain threshold value or not and judging whether fire-fighting threats are generated indoors or not, and comprises the following steps: identifying tolerance threshold value X of data of each sensor according to the position of the building; calculating the data reference value xi of each sensor in the building according to the data ai of each sensor in the building and the distance si between each sensor and the indoor space,
or
k1, k2 and k3 are calculation coefficients obtained by training; taking the maximum value as a data reference value X in the building, and judging that the fire-fighting threat to the indoor is generated when the data reference value X of the sensor in the building is greater than a tolerance threshold value X;
the method for jointly judging whether the fire-fighting threat exists indoors or not according to the fact that whether the sensing data of different areas of the buildings where the indoor sensing data are located are larger than a certain threshold value or not comprises the following steps: setting a tolerance threshold B of any one or more of temperature data, smoke data, sound data and light data according to the room temperature, the room area and the indoor position; acquiring sensing data b acquired by an indoor environment monitoring sensor; calculating a distance sensor data reference value xi which is different from indoor in the building according to the current sensor data a in the building and the distance s which is different from indoor in the building, and taking the maximum value as a data reference value x in the building; calculating a threat reference value d according to sensing data b acquired by an indoor environment monitoring sensor and a building sensor data reference value x, wherein d is e 1-b + e 2-x or d is e 3-b-x, and e1, e2 and e3 are calculation coefficients obtained by training in advance; if the threat reference value D is larger than a preset threshold value D, judging that the indoor fire protection threat is generated;
the method comprises the following steps of identifying the direction of the change development of the fire event and the fire fighting data of the external areas with the distances from the building to different ranges according to whether the sensing data of different areas in the building where the indoor area is located are larger than a certain threshold value and whether the range of the change development of the fire event covers the area of the building, and judging whether the fire fighting threat to the indoor area is generated or not in a combined manner, wherein the method comprises the following steps: identifying tolerance threshold values X of each sensor data according to the position of the building, calculating distance sensor data reference values xi which are different from indoor data in the building according to the current sensor data a and the distance s which is different from indoor data in the building, and taking the maximum value as a data reference value X in the building; acquiring any one or more of fire event data and fire rescue data, judging the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior, and judging whether the building is in the coverage range of the fire event or not according to the distance w between the fire event and the building, the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior; if the data reference value X in the building is larger than the threshold value X and the building is in the coverage range of the fire event, judging that the indoor fire-fighting threat is generated;
the method comprises the following steps of identifying the direction of the change development of the fire event and the fire fighting data of the external areas with the distances from the building in different ranges according to whether the sensing data of different areas of the building where the indoor space and the indoor space are located are larger than a certain threshold value and whether the range of the change development of the fire event covers the area of the building, and judging whether the fire fighting threat to the indoor space is generated or not in a combined mode, wherein the method comprises the following steps: according to the room temperature, the indoor area and the indoor position, setting any one or more tolerance threshold values B of temperature data, smoke data, sound data and light data, and acquiring sensing data B acquired by an indoor environment monitoring sensor; identifying tolerance threshold values X of each sensor data according to the position of the building, calculating distance sensor data reference values xi which are different from indoor data in the building according to the current sensor data a and the distance s which is different from indoor data in the building, and taking the maximum value as a data reference value X in the building; acquiring any one or more of fire event data and fire rescue data, judging the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior, and judging whether the building is in the coverage range of the fire event or not according to the distance w between the fire event and the building, the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior; and if the indoor sensing data B is larger than the threshold B, the in-building data reference value X is larger than the threshold X, and the building is in the coverage range of the fire event, judging that the fire threat is generated indoors.
2. An indoor fire threat identification method as claimed in claim 1, wherein said indoor environmental data comprises any one or more of temperature data, smoke data, sound data, light data acquired by indoor environmental monitoring sensors.
3. An indoor fire threat identification method as claimed in claim 1, wherein said in-building environmental data comprises any one or more of temperature data, smoke data, sound data, light data of different areas of a building in which the room is located.
4. An indoor fire threat identification method as claimed in claim 1, wherein the fire protection data outside the building comprises any one or more of fire event data, fire rescue data for outside areas at different distances from the building.
5. The method of identifying indoor fire threats according to claim 1, wherein the fire threats are any one or more of direct fire hazards in an indoor environment, threats from fire hazards within a building to indoor hazards within a building, and threats from fire incidents outside a building to indoor hazards from epidemic locations within a building.
6. An indoor fire-fighting threat level identification method is characterized by comprising the following steps:
identifying an indoor fire threat level based on the indoor environmental data and/or environmental data within the building and/or fire data outside the building;
the identification of the indoor fire-fighting threat level according to the indoor environment data and/or the environment data in the building and/or the fire-fighting data outside the building comprises the steps of calculating threat weight values of different areas in the building according to the environment data of different areas of the building where the indoor environment exists, identifying the indoor fire-fighting threat level according to the threat weight values, jointly calculating the threat weight values according to the environment data of different areas in the building where the indoor environment exists and the fire-fighting event data and/or the fire-fighting rescue data of external areas which are different in range of the building, and identifying the indoor fire-fighting threat level according to the threat weight values, jointly calculating the threat weight values according to the environment data of different areas of the building where the indoor environment exists and the fire-fighting event data and/or the fire-fighting rescue data of external areas which are different in range of the building where the distance is different, and identifying the indoor fire-fighting threat level according to the threat weight values Any of the indoor fire threat levels;
the method for recognizing the indoor fire-fighting threat level comprises the following steps of: identifying tolerance threshold value X of data of each sensor according to the position of the building; calculating the data reference value xi of each sensor in the building according to the data ai of each sensor in the building and the distance si between each sensor and the indoor,
or
k1, k2 and k3 are calculation coefficients obtained by training; taking the maximum value as a building data reference value x; the threat weight value is represented by c, and the threat weight value c is calculated according to the positive correlation relation between the threat weight value and the data reference value x in the building; identifying the fire threat level according to the set fire threat level corresponding table and the calculated threat weight value c;
the method comprises the following steps of jointly calculating threat weight values according to environment data of different areas of indoor buildings and environment data of different areas of indoor buildings, and identifying indoor fire-fighting threat levels according to the threat weight values, wherein the method comprises the following steps: the indoor sensing data is represented by b, the indoor threat weight value is represented by h, and the indoor threat weight value h is calculated according to the positive correlation relation between the threat weight value and the sensing data; acquiring sensing data a in a building, calculating a data reference value xi of a distance sensor in the building, which is different from the indoor distance, according to the current sensor data a in the building and the distance s different from the indoor distance, and taking the maximum value as a data reference value x in the building; the in-building threat weight value is represented by q, and the in-building threat weight value q is calculated according to the positive correlation relation between the threat weight value and the in-building data reference value x; calculating a threat weight value c according to the indoor threat weight value h and the threat weight value q in the building; identifying the fire threat level according to a preset fire threat level corresponding table and a calculated threat weight value c;
the method comprises the following steps of jointly calculating threat weight values according to environment data of different areas in a building where the indoor space is located and fire event data and/or fire rescue data of external areas which are at different distances from the building in different ranges, and identifying indoor fire threat levels according to the threat weight values, wherein the threat weight values comprise the following steps: acquiring sensing data a in a building, calculating a data reference value xi of a distance sensor in the building, which is different from the indoor distance, according to the current sensor data a in the building and the distance s different from the indoor distance, and taking the maximum value as a data reference value x in the building; the in-building threat weight value is represented by q, and the in-building threat weight value q is calculated according to the positive correlation relation between the threat weight value and the in-building data reference value x; acquiring any one or more of fire event data and fire rescue data, judging the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior, and calculating the shortest distance p from the center of the fire behavior of the building and the coverage radius r of the fire behavior according to the distance w between the fire event and the building, the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior; calculating an external threat weight value z of the building according to the shortest distance p between the building and the fire center and the fire covering radius; calculating a threat weight value c according to the threat weight value p in the building and the threat weight value z outside the building; identifying the fire threat level according to a preset fire threat level corresponding table and a calculated threat weight value c;
the method for jointly calculating the threat weight value according to the environment data of different areas of the indoor and indoor buildings and the fire event data and/or fire rescue data of the external areas with different distances from the buildings in different ranges and identifying the indoor fire threat level comprises the following steps: the indoor sensing data is represented by b, the indoor threat weight value is represented by h, and the indoor threat weight value h is calculated according to the positive correlation relation between the threat weight value and the sensing data; acquiring sensing data a in a building, calculating a distance sensor data reference value xi different from indoor in the building according to the current sensor data a in the building and the distance s different from indoor, and taking the maximum value as a data reference value x in the building; the in-building threat weight value is represented by q, and the in-building threat weight value q is calculated according to the positive correlation relation between the threat weight value and the in-building data reference value x; acquiring any one or more of fire event data and fire rescue data, judging the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior, and calculating the shortest distance p from the fire center of the building and the coverage radius r of the fire behavior according to the distance w between the fire event and the building, the change development direction of the fire event, the movement speed v of the fire behavior and the diffusion speed u of the coverage radius of the fire behavior; calculating an external threat weight value z of the building according to the shortest distance p between the building and the fire center and the fire covering radius; calculating a threat weight value c according to the indoor threat weight value h, the in-building threat weight value p and the out-building threat weight value z; and identifying the fire threat level according to a preset fire threat level corresponding table and the calculated threat weight value c.
7. A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of claims 1-6.
8. An indoor fire-fighting threat identification system, comprising:
an environmental monitoring sensor;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the method of any of claims 1-6.
Priority Applications (1)
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