CN115662098A - Intelligent building fire-fighting early warning method and system, electronic equipment and storage medium - Google Patents
Intelligent building fire-fighting early warning method and system, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses an intelligent building fire-fighting early warning method, a system, electronic equipment and a storage medium, which relate to the technical field of building fire-fighting, wherein basic information of a building is acquired, and diffusion risk levels are set for different floors of the building based on the basic information of the building; fire fighting detection is carried out on different floors, and real-time detection data and corresponding floor position information are output; the building fire-fighting early warning level calculation method based on the multi-story building fire-fighting early warning level comprises the steps of calculating based on diffusion risk levels and real-time detection data of different floors to obtain a building fire-fighting early warning level, and calculating by integrating the diffusion risk levels and the real-time detection data of the different floors to obtain the building fire-fighting early warning level which is more attached to an actual fire-fighting condition, so that the problems that the existing building fire-fighting early warning mode is single, and the attachment degree of the fire-fighting early warning and the actual condition is low are solved.
Description
Technical Field
The invention relates to the technical field of building fire fighting, in particular to an intelligent building fire fighting early warning method, an intelligent building fire fighting early warning system, electronic equipment and a storage medium.
Background
"fire fighting" is to eliminate hidden troubles and prevent disasters (i.e. to prevent and solve the general term of man-made, natural and accidental disasters in the life, work and learning process of people), and the meaning of the definition is that: meaning (extinguishing) fire. The method mainly comprises the steps of rescuing personnel on a fire scene, rescuing important facility equipment and cultural relics, protecting and rescuing important properties safely, putting out a fire and the like. Aims to reduce the damage degree caused by fire and reduce casualties and property loss. Building fire control usually refers to the fire control measure that is used for in the building, and the fire control measure that sets up in the building usually has to set up fire hydrant and fire extinguisher and places the case, sets up smoke alarm device simultaneously and reports to the police.
In the existing building fire-fighting technology, it is difficult to accurately predict the actual risk situation by only using the mode of early warning by smoke alarm, such as: the height of the existing building is usually higher, the number of floors is also more, when a fire disaster occurs, only the severity of actual problems is difficult to reflect by early warning on the floor where the fire disaster is located, early warning delay is easy to cause, and the problem that fire fighting equipment is not enough in preparation due to inconsistency of early warning level and actual severity is solved by a comprehensive and accurate early warning method for fire fighting of the building.
Disclosure of Invention
The invention aims to solve at least one technical problem in the prior art to a certain extent, and the building fire-fighting early warning grade which is more fit with the actual fire-fighting condition can be obtained by integrating the diffusion risk grade and the real-time detection data of different floors for calculation so as to solve the problems that the existing building fire-fighting early warning mode is single and the fit degree of the fire-fighting early warning and the actual condition is low.
In order to achieve the above object, in a first aspect, the present application provides a fire-fighting early-warning method for an intelligent building, where the fire-fighting early-warning method includes:
acquiring basic information of a building, wherein the basic information of the building comprises: the specification of the building, the number and the value of equipment in different floors, the total amount of combustible materials in different floors and the total amount of fire fighting equipment in different floors;
setting diffusion risk levels for different floors of the building based on basic information of the building;
fire fighting detection is carried out on different floors, and real-time detection data and corresponding floor position information are output;
and calculating based on the diffusion risk levels of different floors and the real-time detection data to obtain the building fire-fighting early warning level.
Further, the method for acquiring the specification of the building comprises the following steps: acquiring the height and the number of floors of a building, and calculating to obtain the single-layer average height by dividing the height of the building by the number of the floors;
the method for acquiring the number of devices in different floors comprises the following steps: counting the number of devices with the volume larger than or equal to a first volume threshold value in each floor, setting the devices as reference devices, and setting the number of the reference devices as the number of single-layer devices;
the method for acquiring the equipment values in different floors comprises the following steps: acquiring market prices of reference equipment, setting the market prices as reference prices, and adding reference price information of all the reference equipment in a single floor to obtain single-layer equipment value; the market price is provided with a price calculation method, and the price calculation method comprises the following steps: acquiring the real-time price of the reference equipment and the service life of the reference equipment, and calculating the service life and the real-time price through a reference calculation formula to obtain the reference price, wherein the reference calculation formula is configured as follows:
(ii) a Wherein Jcz is a reference price, jss is a real-time price, and Ys is a service life;
the method for acquiring the total combustible material amount in different floors comprises the following steps: obtaining the decoration area and the volume of wooden equipment in each floor, accumulating the volumes of all wooden equipment in a single floor to obtain the combustible volume, and calculating the decoration area and the combustible volume by combustible materialsCalculating to obtain the total basic combustible amount; the combustibles calculation formula is configured to:
(ii) a Wherein Rz is the basic combustible total amount, sz is the decoration area, s1 is the conversion coefficient of the decoration area and the decoration volume, s1 has a value ranging from 1 to 2, specifically s1 is set to 1.8, vy is the combustible volume, w1 is the conversion coefficient of the volume and the mass, w1 has a value ranging from 50 to 200, specifically w1 is set to 100, the unit of the volume is cubic meter, the unit of the basic combustible total amount and the mass is kilogram, and the unit of the area is square meter;
the method for acquiring the total amount of fire fighting equipment in different floors comprises the following steps: acquiring the number of fire hydrants and the number of fire extinguishers in each floor, and calculating the number of fire hydrants and the number of fire extinguishers through a fire fighting equipment calculation formula to obtain the total amount of fire fighting equipment, wherein the fire fighting equipment calculation formula is configured as follows:
(ii) a Wherein Lxf is the total amount of fire fighting equipment, lxs is the number of fire hydrants, a1 is the equipment quantity conversion coefficient of the fire hydrants, the value range of a1 is between 3 and 10, specifically, a1 is set to be 5, and Lmh is the number of fire extinguishers.
Further, setting diffusion risk levels for different floors of the building based on the building's basic information includes: acquiring the number of floors of each floor;
calculating the number of single-layer equipment, the value of the single-layer equipment, the total basic combustible amount and the total fire fighting equipment by a single-layer basic diffusion calculation formula to obtain a basic single-layer diffusion value; the single layer basis diffusion calculation formula is configured as:
(ii) a Wherein Pdj is a basic single-layer diffusion value, lds is a single-layer device number, jds is a single-layer device value, k1 is a device value combustible mass conversion ratio, a unit of the value is yuan, a value of k1 is 10-50, specifically a value of k1 is 20, for example, a total basic combustible amount corresponding to 100 yuan of devices is 5 kg;
calculating the basic single-layer diffusion value, the number of layers, the number of floors and the average height of the single layer through a single-layer diffusion risk calculation formula to obtain a single-layer diffusion risk value; the single layer diffusion risk calculation formula is configured as:
(ii) a Pdk is a single-layer diffusion risk value, gdc is a single-layer average height, and Cs is the number of layers;
when the single-layer diffusion risk value is larger than or equal to the first diffusion risk threshold value, dividing the floor into high-risk diffusion grades; when the single-layer diffusion risk value is greater than or equal to a second diffusion risk threshold and smaller than a first diffusion risk threshold, dividing the floor into medium risk diffusion grades; and when the single-layer diffusion risk value is smaller than a second diffusion risk threshold value, the floor is divided into low-risk diffusion grades.
Further, fire detection on different floors includes: the smoke concentration is obtained through the smoke collector, when the collected smoke concentration is larger than or equal to a first smoke threshold value, the floor is set as a basic early warning floor, and an infrared image of the basic early warning floor is obtained through the infrared collection camera.
Further, based on the diffusion risk level and the real-time detection data of different floors, the calculation for obtaining the building fire-fighting early warning level comprises the following steps: carrying out grade region division on the infrared image of the basic early warning floor according to the temperature from high to low, solving the proportion of the region area with the temperature being more than or equal to a first temperature threshold value in the infrared image to the total area of the infrared image, and setting the proportion as the proportion of the high-risk region;
substituting the high risk area proportion and the single-layer diffusion risk value of the basic early warning floor into a single-layer early warning formula to calculate to obtain a single-layer early warning value, wherein the single-layer early warning formula is configured as follows:
(ii) a Wherein Ydc is a single-layer early warning value, and Bgf is a high risk area proportion;
adding the single-layer diffusion risk values of the first number of floors above the basic early warning floor and the second number of floors below the basic early warning floor to obtain a total diffusion influence value;
adding the total diffusion influence value and the single-layer early warning value to obtain a building fire-fighting early warning value;
when the building fire-fighting early warning value is larger than or equal to the first fire-fighting threshold value, outputting a building fire-fighting high-risk early warning level; when the building fire-fighting early warning value is greater than or equal to the second fire-fighting threshold value and smaller than the first fire-fighting threshold value, outputting the danger early warning level in the building fire fighting; and when the building fire-fighting early warning value is smaller than the second fire-fighting threshold value, outputting a building fire-fighting low-risk early warning level.
In a second aspect, the application provides an intelligent building fire-fighting early-warning system, which comprises a building information database, a building diffusion grade division module, a fire-fighting acquisition module and an early-warning analysis module;
the building information database stores the specifications of the building, the number and the value of equipment in different floors, the total amount of combustible materials in different floors and the total amount of fire fighting equipment in different floors;
the building diffusion grade division module is configured with a building diffusion grade division strategy, and the building diffusion grade division strategy comprises the following steps: setting diffusion risk levels for different floors of the building based on information stored in the information database;
the fire-fighting acquisition module comprises a plurality of fire-fighting acquisition devices which are respectively arranged in a plurality of floors; the fire protection acquisition module is configured with a fire protection acquisition strategy, which comprises: fire fighting detection is carried out on different floors through a fire fighting acquisition device, and real-time detection data and corresponding floor position information are output to an early warning analysis module;
early warning analysis module disposes early warning analysis strategy, early warning analysis strategy includes: and calculating based on the diffusion risk levels of different floors and the real-time detection data of the fire-fighting acquisition device to obtain the building fire-fighting early warning level.
In a third aspect, the present application provides an electronic device comprising a processor and a memory, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, perform the steps of the method according to any one of the above.
In a fourth aspect, the present application provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method as described in any one of the above.
The invention has the beneficial effects that: according to the invention, diffusion risk levels are set for different floors of the building by acquiring basic information of the building; and then carrying out fire protection detection on different floors, outputting real-time detection data and corresponding floor position information, and finally calculating based on diffusion risk levels and real-time detection data of different floors to obtain building fire protection early warning levels.
Additional features and advantages of the present application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the present application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
FIG. 1 is a flow chart of a fire warning method of the present invention;
fig. 2 is a schematic block diagram of a fire warning system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, in a first aspect, the present application provides a fire-fighting early-warning method for an intelligent building, where the fire-fighting early-warning method includes:
step S10, acquiring basic information of the building, wherein the basic information of the building comprises: the specification of the building, the number and the value of equipment in different floors, the total amount of combustible materials in different floors and the total amount of fire fighting equipment in different floors; step S10 further includes the following substeps:
step S1011, acquiring the height and the number of floors of the building, and calculating to obtain the single-layer average height by dividing the height of the building by the number of the floors;
step S1021, counting the number of devices with the volume larger than or equal to a first volume threshold value in each floor, setting the devices as reference devices, and setting the number of the reference devices as the number of single-layer devices; the first volume threshold is set to 0.2 cubic meters;
step S1022, acquiring the market price of the reference equipment, setting the market price as the reference price, and adding the reference price information of all the reference equipment in a single floor to obtain the single-layer equipment value;
the market price is provided with a price calculation method, and the price calculation method comprises the following steps: step S10221, acquiring the real-time price of the reference device and the service life of the reference device, and calculating the service life and the real-time price by a reference calculation formula to obtain a reference price, wherein the reference calculation formula is configured as follows:
(ii) a Wherein Jcz is a reference price, jss is a real-time price, and Ys is a service life;
step S1031, obtaining the decoration area and the volume of the wood equipment in each floor, accumulating the volumes of all the wood equipment in a single floor to obtain an inflammable volume, and calculating the decoration area and the inflammable volume through an inflammable calculation formula to obtain a basic inflammable total amount; the combustible calculation formula is configured as:
(ii) a Wherein Rz is the basic combustible total amount, sz is the decoration area, s1 is the conversion coefficient of the decoration area and the decoration volume, s1 has a value ranging from 1 to 2, specifically s1 is set to 1.8, vy is the combustible volume, w1 is the conversion coefficient of the volume and the mass, w1 has a value ranging from 50 to 200, specifically w1 is set to 100, the unit of the volume is cubic meter, the unit of the basic combustible total amount and the mass is kilogram, and the unit of the area is square meter;
step S1041, acquiring the number of fire hydrants and the number of fire extinguishers in each floor, and calculating the number of fire hydrants and the number of fire extinguishers through a fire fighting equipment calculation formula to obtain the total amount of fire fighting equipment, wherein the fire fighting equipment calculation formula is configured as follows:
(ii) a Wherein Lxf is the total amount of fire fighting equipment, lxs is the number of fire hydrants, a1 is the equipment quantity conversion coefficient of the fire hydrants, the value range of a1 is between 3 and 10, specifically, a1 is set to be 5, and Lmh is the number of fire extinguishers. The number of fire hydrants and the number of fire extinguishers are stored in a building information database;
s20, setting diffusion risk levels for different floors of the building based on basic information of the building; step S20 further includes the following substeps:
step S201, acquiring the number of floors of each floor;
step S202, calculating the number of single-layer equipment, the value of the single-layer equipment, the total basic combustible amount and the total fire fighting equipment through a single-layer basic diffusion calculation formula to obtain a basic single-layer diffusion value; the single layer basis diffusion calculation formula is configured as:
(ii) a Wherein Pdj is a basic single-layer diffusion value, lds is a single-layer device number, jds is a single-layer device value, k1 is a device value combustible mass conversion ratio, a unit of the value is yuan, a value of k1 is 10-50, specifically a value of k1 is 20, for example, a total basic combustible amount corresponding to 100 yuan of devices is 5 kg;
step S203, the diffusion value of the basic single layer, the number of the layers, the number of the floors and the single layer are calculatedCalculating the average height of the layers through a single-layer diffusion risk calculation formula to obtain a single-layer diffusion risk value; the single layer diffusion risk calculation formula is configured as:
(ii) a Wherein Pdk is a single-layer diffusion risk value, gdc is a single-layer average height, and Cs is the number of layers;
step S204, when the single-layer diffusion risk value is larger than or equal to a first diffusion risk threshold value, the floor is divided into high-risk diffusion grades; when the single-layer diffusion risk value is greater than or equal to a second diffusion risk threshold and smaller than a first diffusion risk threshold, dividing the floor into medium risk diffusion grades; and when the single-layer diffusion risk value is smaller than the second diffusion risk threshold value, the floor is divided into low-risk diffusion levels. The first diffusion risk value is set to 100000, and the second diffusion risk value is set to 20000;
s30, carrying out fire fighting detection on different floors, and outputting real-time detection data and corresponding floor position information; step S30 further includes step S301, and step S301 includes: the smoke concentration is obtained through the smoke collector, when the collected smoke concentration is larger than or equal to a first smoke threshold value, the floor is set as a basic early warning floor, and infrared images of the basic early warning floor are obtained through the infrared collection camera. The first smoke threshold setting section is 5-15%;
and S40, calculating based on the diffusion risk levels and the real-time detection data of different floors to obtain the building fire-fighting early warning level. Step S40 further includes the following sub-steps:
step S401, carrying out level region division on the infrared image of the basic early warning floor according to the temperature from high to low, solving the proportion of the region area of which the temperature is greater than or equal to a first temperature threshold value in the infrared image to the total area of the infrared image, and setting the proportion as the proportion of a high-risk region; the first temperature threshold is set to 80 ℃;
step S402, substituting the high risk area proportion and the single-layer diffusion risk value of the basic early warning floor into a single-layer early warning formula to calculate to obtain a single-layer early warning value, wherein the single-layer early warning formula is configured as follows:
(ii) a Wherein Ydc is a single-layer early warning value, and Bgf is a high risk area proportion;
step S403, adding the single-layer diffusion risk values of the first number of floors above the basic early warning floor and the second number of floors below the basic early warning floor to obtain a total diffusion influence value; because the influence of the fire on the floors above the building is greater than the influence of the fire on the floors below the building, the first number is greater than the second number, the value range of the first number is 3-10, the value range of the second number is 1-5, specifically, the first number is set to be 6, and the second number is set to be 2.
Step S404, adding the total diffusion influence value and the single-layer early warning value to obtain a building fire-fighting early warning value;
step S405, when the building fire-fighting early warning value is larger than or equal to a first fire-fighting threshold value, outputting a building fire-fighting high-risk early warning level; when the building fire-fighting early warning value is greater than or equal to the second fire-fighting threshold value and smaller than the first fire-fighting threshold value, outputting the danger early warning level in the building fire fighting; and when the building fire-fighting early warning value is smaller than the second fire-fighting threshold value, outputting a building fire-fighting low-risk early warning level. In specific implementation, if the obtained building fire-fighting early warning value is 200000, the first fire-fighting early warning value is 300000, and the second fire-fighting early warning value is 100000, the building fire-fighting early warning value is correspondingly divided into early warning levels, namely the building fire-fighting risk early warning level.
Example two
Referring to fig. 2, in a second aspect, the present application provides an intelligent building fire-fighting early-warning system, which includes a building information database, a building diffusion level classification module, a fire-fighting acquisition module, and an early-warning analysis module;
the building information database stores the specifications of the building, the number and the value of equipment in different floors, the total amount of combustible materials in different floors and the total amount of fire fighting equipment in different floors;
the building diffusion grade division module is configured with a building diffusion grade division strategy, and the building diffusion grade division strategy comprises the following steps: setting diffusion risk levels for different floors of the building based on information stored in the information database;
the fire fighting acquisition module comprises a plurality of fire fighting acquisition devices which are respectively arranged in a plurality of floors; the fire fighting collection module is provided with a fire fighting collection strategy, which comprises: the fire-fighting detection is carried out on different floors through a fire-fighting acquisition device, and real-time detection data and corresponding floor position information are output to an early warning analysis module;
early warning analysis module disposes early warning analysis strategy, and early warning analysis strategy includes: and calculating based on the diffusion risk levels of different floors and the real-time detection data of the fire-fighting acquisition device to obtain the building fire-fighting early warning level.
The building information database is configured with a building information acquisition strategy, and the building information acquisition strategy comprises the following steps: acquiring the height and the number of floors of a building, and calculating to obtain the average height of a single floor by dividing the height of the building by the number of the floors;
counting the number of devices with the volume larger than or equal to a first volume threshold value in each floor, setting the devices as reference devices, and setting the number of the reference devices as the number of single-layer devices;
acquiring market prices of the reference devices, setting the market prices as reference prices, and adding reference price information of all the reference devices in a single floor to obtain single-layer device value; the market price is provided with a price calculation method, and the price calculation method comprises the following steps: acquiring the real-time price of the reference equipment and the service life of the reference equipment, and calculating the service life and the real-time price through a reference calculation formula to obtain the reference price, wherein the reference calculation formula is configured as follows:
(ii) a Wherein Jcz is a reference price, jss is a real-time price, and Ys is a service life;
acquiring the decoration area and the volume of wooden equipment in each floor, accumulating the volumes of all wooden equipment in a single floor to obtain the combustible volume, and calculating the decoration area and the combustible volume through a combustible calculation formula to obtain the basic combustible total amount; the combustible calculation formula is configured as:
(ii) a Wherein Rz is the basic combustible total amount, sz is the decoration area, s1 is the conversion coefficient of the decoration area and the decoration volume, s1 has a value ranging from 1 to 2, specifically s1 is set to 1.8, vy is the combustible volume, w1 is the conversion coefficient of the volume and the mass, w1 has a value ranging from 50 to 200, specifically w1 is set to 100, the unit of the volume is cubic meter, the unit of the basic combustible total amount and the mass is kilogram, and the unit of the area is square meter;
acquiring the number of fire hydrants and the number of fire extinguishers in each floor, and calculating the number of fire hydrants and the number of fire extinguishers through a fire fighting equipment calculation formula to obtain the total amount of fire fighting equipment, wherein the fire fighting equipment calculation formula is configured as follows:
(ii) a Wherein Lxf is the total amount of fire fighting equipment, lxs is the number of fire hydrants, a1 is the equipment quantity conversion coefficient of the fire hydrants, the value range of a1 is between 3 and 10, specifically, a1 is set to be 5, and Lmh is the number of fire extinguishers.
The building diffusion level division strategy further comprises the following steps: acquiring the number of floors of each floor;
calculating the number of single-layer equipment, the value of the single-layer equipment, the total basic combustible amount and the total fire fighting equipment through a single-layer basic diffusion calculation formula to obtain a basic single-layer diffusion value; the single layer basis diffusion calculation formula is configured as:
(ii) a Wherein Pdj is a basic single-layer diffusion value, lds is a single-layer device number, jds is a single-layer device value, k1 is a device value combustible mass conversion ratio, a unit of the value is yuan, a value of k1 is 10-50, specifically a value of k1 is 20, for example, a total basic combustible amount corresponding to 100 yuan of devices is 5 kg;
calculating the basic single-layer diffusion value, the number of layers, the number of floors and the average height of the single layer through a single-layer diffusion risk calculation formula to obtain a single-layer diffusion risk value; the single layer diffusion risk calculation formula is configured as:
(ii) a Pdk is a single-layer diffusion risk value, gdc is a single-layer average height, and Cs is the number of layers;
when the single-layer diffusion risk value is larger than or equal to the first diffusion risk threshold value, dividing the floor into high-risk diffusion grades; when the single-layer diffusion risk value is greater than or equal to a second diffusion risk threshold and smaller than a first diffusion risk threshold, dividing the floor into medium risk diffusion grades; and when the single-layer diffusion risk value is smaller than a second diffusion risk threshold value, the floor is divided into low-risk diffusion grades.
Fire control collection system includes smoke collector and infrared image acquisition camera, and fire control collection strategy still includes: the smoke concentration is obtained through the smoke collector, when the collected smoke concentration is larger than or equal to a first smoke threshold value, the floor is set as a basic early warning floor, and infrared images of the basic early warning floor are obtained through the infrared collection camera.
Early warning analysis module disposes early warning analysis strategy, and early warning analysis strategy includes: carrying out grade region division on the infrared image of the basic early warning floor according to the temperature from high to low, solving the proportion of the region area with the temperature being more than or equal to a first temperature threshold value in the infrared image to the total area of the infrared image, and setting the proportion as the proportion of the high-risk region;
substituting the high risk area proportion and the single-layer diffusion risk value of the basic early warning floor into a single-layer early warning formula to calculate to obtain a single-layer early warning value, wherein the single-layer early warning formula is configured as follows:
(ii) a Wherein Ydc is a single-layer early warning value, and Bgf is a high risk area proportion;
adding the single-layer diffusion risk values of the first number of floors above the basic early warning floor and the second number of floors below the basic early warning floor to obtain a total diffusion influence value;
adding the total diffusion influence value and the single-layer early warning value to obtain a building fire-fighting early warning value;
when the building fire-fighting early warning value is larger than or equal to the first fire-fighting threshold value, outputting a building fire-fighting high-risk early warning level; when the building fire-fighting early warning value is greater than or equal to the second fire-fighting threshold value and smaller than the first fire-fighting threshold value, outputting the danger early warning level in the building fire fighting; and when the building fire-fighting early warning value is smaller than the second fire-fighting threshold value, outputting a building fire-fighting low-risk early warning level.
EXAMPLE III
In a third aspect, the present application provides an electronic device comprising a processor and a memory, the memory storing computer readable instructions which, when executed by the processor, perform the steps of any of the methods above. By the above technical solution, the processor and the memory are interconnected and communicate with each other through a communication bus and/or other forms of connection mechanism (not shown), the memory stores a computer program executable by the processor, and when the electronic device runs, the processor executes the computer program to execute the method in any optional implementation manner of the foregoing embodiment, so as to implement the following functions: setting diffusion risk levels for different floors of the building by acquiring basic information of the building; and then carrying out fire-fighting detection on different floors, outputting the real-time detection data and the corresponding floor position information, and finally calculating based on the diffusion risk levels and the real-time detection data of the different floors to obtain the building fire-fighting early warning level.
Example four
In a fourth aspect, the present application provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of any of the above methods. Through the technical scheme, when being executed by a processor, the computer program executes the method in any optional implementation manner of the embodiment to realize the following functions: setting diffusion risk levels for different floors of the building by acquiring basic information of the building; and then carrying out fire-fighting detection on different floors, outputting the real-time detection data and the corresponding floor position information, and finally calculating based on the diffusion risk levels and the real-time detection data of the different floors to obtain the building fire-fighting early warning level.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the media. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), an on-Read Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the units into only one type of logical function may be implemented in other ways, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some communication interfaces, indirect coupling or communication connection between devices or units, and may be in an electrical, mechanical or other form.
Claims (8)
1. The intelligent building fire-fighting early-warning method is characterized by comprising the following steps:
acquiring basic information of a building, wherein the basic information of the building comprises: the specification of the building, the number and the value of equipment in different floors, the total amount of combustible materials in different floors and the total amount of fire fighting equipment in different floors;
setting diffusion risk levels for different floors of the building based on basic information of the building;
fire fighting detection is carried out on different floors, and real-time detection data and corresponding floor position information are output;
and calculating based on the diffusion risk levels of different floors and the real-time detection data to obtain the building fire-fighting early warning level.
2. The intelligent building fire-fighting early warning method according to claim 1, wherein the method for acquiring the specifications of the building comprises the following steps: acquiring the height and the number of floors of a building, and calculating to obtain the average height of a single floor by dividing the height of the building by the number of the floors;
the method for acquiring the number of devices in different floors comprises the following steps: counting the number of the devices with the volume larger than or equal to a first volume threshold value in each floor, setting the devices as reference devices, and setting the number of the reference devices as the number of single-layer devices;
the method for acquiring the equipment value in different floors comprises the following steps: acquiring market prices of reference equipment, setting the market prices as reference prices, and adding reference price information of all the reference equipment in a single floor to obtain single-layer equipment value; the market price is provided with a price calculation method, and the price calculation method comprises the following steps: acquiring the real-time price of the reference equipment and the service life of the reference equipment, and calculating the service life and the real-time price through a reference calculation formula to obtain the reference price, wherein the reference calculation formula is configured as follows:
(ii) a Wherein Jcz is a reference price, jss is a real-time price, and Ys is a service life;
the method for acquiring the total combustible material amount in different floors comprises the following steps: acquiring the decoration area and the volume of the wood equipment in each floor, accumulating the volumes of all the wood equipment in a single floor to obtain the combustible volume, and calculating the decoration area and the combustible volume through a combustible calculation formula to obtain the total basic combustible amount; the combustibles calculation formula is configured as:
(ii) a Wherein Rz is the total basic combustible amount, sz is the decoration area, vy is the combustible volume, s1 is the conversion coefficient of the decoration area and the decoration area, and w1 is the conversion coefficient of the volume and the mass;
the method for acquiring the total amount of fire fighting equipment in different floors comprises the following steps: acquiring the number of fire hydrants and the number of fire extinguishers in each floor, and calculating the number of fire hydrants and the number of fire extinguishers through a fire fighting equipment calculation formula to obtain the total amount of fire fighting equipment, wherein the fire fighting equipment calculation formula is configured as follows:
(ii) a Wherein Lxf is the total amount of fire-fighting equipment, lxs is the number of fire hydrants, a1 is the equipment quantity conversion coefficient of the fire hydrants, and Lmh is the number of fire extinguishers.
3. The intelligent building fire-fighting early-warning method according to claim 2, wherein setting diffusion risk levels for different floors of the building based on the building basic information comprises: acquiring the number of floors of each floor;
calculating the number of single-layer equipment, the value of the single-layer equipment, the total basic combustible amount and the total fire fighting equipment by a single-layer basic diffusion calculation formula to obtain a basic single-layer diffusion value; the single layer basis diffusion calculation formula is configured as:
(ii) a Wherein Pdj is a basic single-layer diffusion value, lds is the number of single-layer devices, jds is a single-layer device value, and k1 is a device value combustible quality conversion ratio;
calculating the basic single-layer diffusion value, the number of layers, the number of floors and the average height of the single layer through a single-layer diffusion risk calculation formula to obtain a single-layer diffusion risk value; the single layer diffusion risk calculation formula is configured as:
(ii) a Pdk is a single-layer diffusion risk value, gdc is a single-layer average height, and Cs is the number of layers;
when the single-layer diffusion risk value is larger than or equal to a first diffusion risk threshold value, dividing the floor into high-risk diffusion grades; when the single-layer diffusion risk value is greater than or equal to a second diffusion risk threshold and smaller than a first diffusion risk threshold, dividing the floor into medium risk diffusion grades; and when the single-layer diffusion risk value is smaller than the second diffusion risk threshold value, the floor is divided into low-risk diffusion levels.
4. The intelligent building fire-fighting early-warning method according to claim 3, wherein the detection of fire-fighting on different floors comprises: the smoke concentration is obtained through the smoke collector, when the collected smoke concentration is larger than or equal to a first smoke threshold value, the floor is set as a basic early warning floor, and an infrared image of the basic early warning floor is obtained through the infrared collection camera.
5. The intelligent building fire-fighting early warning method according to claim 4, wherein the calculating based on the diffusion risk levels and the real-time detection data of different floors to obtain the building fire-fighting early warning level comprises: carrying out grade region division on the infrared image of the basic early warning floor according to the temperature from high to low, solving the proportion of the region area with the temperature being more than or equal to a first temperature threshold value in the infrared image to the total area of the infrared image, and setting the proportion as the proportion of the high-risk region;
substituting the high risk area proportion and the single-layer diffusion risk value of the basic early warning floor into a single-layer early warning formula to calculate to obtain a single-layer early warning value, wherein the single-layer early warning formula is configured as follows:
(ii) a Wherein Ydc is a single-layer early warning value, and Bgf is a high risk area proportion;
adding the single-layer diffusion risk values of the first number of floors above the basic early warning floor and the second number of floors below the basic early warning floor to obtain a total diffusion influence value;
adding the total diffusion influence value and the single-layer early warning value to obtain a building fire-fighting early warning value;
when the building fire-fighting early warning value is larger than or equal to the first fire-fighting threshold value, outputting a building fire-fighting high-risk early warning level; when the building fire-fighting early warning value is greater than or equal to the second fire-fighting threshold value and smaller than the first fire-fighting threshold value, outputting the risk early warning level in the building fire fighting; and when the building fire-fighting early warning value is smaller than the second fire-fighting threshold value, outputting a building fire-fighting low-risk early warning level.
6. An intelligent building fire-fighting early warning system is characterized by comprising a building information database, a building diffusion grade division module, a fire-fighting acquisition module and an early warning analysis module;
the building information database stores the specifications of the building, the number and the value of equipment in different floors, the total amount of combustible materials in different floors and the total amount of fire fighting equipment in different floors;
the building diffusion grade division module is configured with a building diffusion grade division strategy, and the building diffusion grade division strategy comprises the following steps: setting diffusion risk levels for different floors of the building based on information stored in the information database;
the fire fighting acquisition module comprises a plurality of fire fighting acquisition devices which are respectively arranged in a plurality of floors; the fire protection acquisition module is configured with a fire protection acquisition strategy, which comprises: the fire-fighting detection is carried out on different floors through a fire-fighting acquisition device, and real-time detection data and corresponding floor position information are output to an early warning analysis module;
the early warning analysis module is configured with an early warning analysis strategy, and the early warning analysis strategy comprises: and calculating the diffusion risk levels based on different floors and the real-time detection data of the fire-fighting acquisition device to obtain the building fire-fighting early warning level.
7. An electronic device comprising a processor and a memory, said memory storing computer readable instructions which, when executed by said processor, perform the steps of the method according to any one of claims 1 to 5.
8. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1-5.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115809757A (en) * | 2023-02-09 | 2023-03-17 | 广东广宇科技发展有限公司 | Fire-fighting risk assessment early-warning method and system based on shopping mall and electronic equipment |
| CN115841655A (en) * | 2023-02-21 | 2023-03-24 | 广东广宇科技发展有限公司 | Electric vehicle household monitoring method and system for urban building fire protection |
| CN116341075A (en) * | 2023-03-29 | 2023-06-27 | 江陵县汇邦建筑工程有限公司 | Intelligent fire control design simulation evaluation system based on intelligent building engineering |
| CN117745083A (en) * | 2024-02-20 | 2024-03-22 | 山东居安特消防科技有限公司 | Fire control management system and method based on big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063116A (en) * | 2011-01-31 | 2011-05-18 | 海南义利达高新技术实业有限公司 | Building information total management system and method |
| WO2012080534A1 (en) * | 2010-12-17 | 2012-06-21 | Paret Martin Jose Carlos | Method for assessing the risk associated with a building fire |
| CN111199623A (en) * | 2020-01-07 | 2020-05-26 | 思创数码科技股份有限公司 | GIS-based flattening command scheduling method and system |
| CN111311085A (en) * | 2020-02-10 | 2020-06-19 | 清华大学合肥公共安全研究院 | Dynamic risk assessment method and device for building fire based on Internet of things monitoring |
| CN112466082A (en) * | 2020-11-12 | 2021-03-09 | 上海意静信息科技有限公司 | Artificial intelligence fire alarm grading early warning method based on time-space and linkage relation |
| CN112738236A (en) * | 2020-12-29 | 2021-04-30 | 广东粤安科技股份有限公司 | Intelligent fire-fighting management system and method for building end |
-
2022
- 2022-11-16 CN CN202211433085.3A patent/CN115662098B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012080534A1 (en) * | 2010-12-17 | 2012-06-21 | Paret Martin Jose Carlos | Method for assessing the risk associated with a building fire |
| CN102063116A (en) * | 2011-01-31 | 2011-05-18 | 海南义利达高新技术实业有限公司 | Building information total management system and method |
| CN111199623A (en) * | 2020-01-07 | 2020-05-26 | 思创数码科技股份有限公司 | GIS-based flattening command scheduling method and system |
| CN111311085A (en) * | 2020-02-10 | 2020-06-19 | 清华大学合肥公共安全研究院 | Dynamic risk assessment method and device for building fire based on Internet of things monitoring |
| CN112466082A (en) * | 2020-11-12 | 2021-03-09 | 上海意静信息科技有限公司 | Artificial intelligence fire alarm grading early warning method based on time-space and linkage relation |
| CN112738236A (en) * | 2020-12-29 | 2021-04-30 | 广东粤安科技股份有限公司 | Intelligent fire-fighting management system and method for building end |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115809757A (en) * | 2023-02-09 | 2023-03-17 | 广东广宇科技发展有限公司 | Fire-fighting risk assessment early-warning method and system based on shopping mall and electronic equipment |
| CN115841655A (en) * | 2023-02-21 | 2023-03-24 | 广东广宇科技发展有限公司 | Electric vehicle household monitoring method and system for urban building fire protection |
| CN115841655B (en) * | 2023-02-21 | 2023-08-01 | 广东广宇科技发展有限公司 | Electric vehicle household monitoring method and system for urban building fire control |
| CN116341075A (en) * | 2023-03-29 | 2023-06-27 | 江陵县汇邦建筑工程有限公司 | Intelligent fire control design simulation evaluation system based on intelligent building engineering |
| CN116341075B (en) * | 2023-03-29 | 2023-10-24 | 燧人消防科技有限公司 | Intelligent fire control design simulation evaluation system based on intelligent building engineering |
| CN117745083A (en) * | 2024-02-20 | 2024-03-22 | 山东居安特消防科技有限公司 | Fire control management system and method based on big data |
| CN117745083B (en) * | 2024-02-20 | 2024-05-24 | 山东居安特消防科技有限公司 | Fire control management system and method based on big data |
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