CN116343455B - Digital twinning technology-based fire scene collapse risk early warning method - Google Patents

Digital twinning technology-based fire scene collapse risk early warning method Download PDF

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CN116343455B
CN116343455B CN202310621808.0A CN202310621808A CN116343455B CN 116343455 B CN116343455 B CN 116343455B CN 202310621808 A CN202310621808 A CN 202310621808A CN 116343455 B CN116343455 B CN 116343455B
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information
collapse
building
floor
area
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CN116343455A (en
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赵尚谦
庄广壬
邓永俊
许超
邹晟
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Guangdong Guangyu Technology Development Co Ltd
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Guangdong Guangyu Technology Development Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/176Urban or other man-made structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes

Abstract

The invention relates to a fire scene collapse risk early warning method based on a digital twin technology, which belongs to the technical field of fire scene collapse risk early warning, and mainly adopts the following scheme: acquiring fire scene building environment information, establishing a fire scene building environment digital twin model according to the fire scene building environment information, and determining a collapse initial profile according to the floor temperature distribution information of a combustion area; determining an additional collapse profile; determining collapse risk level by using the thickness information of the floor slab in the burning area and the weight information of the articles on the floor slab in the burning area; determining a predicted collapse profile according to the additional collapse profile and the initial collapse profile; and when the position of the firefighter is coincident with the predicted collapse profile, the predicted collapse profile information and the collapse risk level are timely sent to the firefighter so as to realize collapse risk early warning, and the firefighter in the collapse area is early warned, so that casualties caused by collapse of the building in a fire disaster are effectively avoided.

Description

Digital twinning technology-based fire scene collapse risk early warning method
Technical Field
The invention belongs to the technical field of fire scene collapse risk early warning, and particularly relates to a fire scene collapse risk early warning method based on a digital twin technology.
Background
The collapse of the building under the fire disaster seriously threatens the personal safety of firefighters, but the existing early warning theory and monitoring means still cannot make scientific and reasonable prediction on the collapse of the building under the fire disaster;
the prior art discloses a single-layer factory building fire collapse safety early warning system and method, application number: 202210593932.6, the specific method is as follows: three-dimensional displacement of the ridge and cornice of each truss structure of the single-layer factory building is obtained, and a displacement-time curve is constructed, wherein the displacement-time curve comprises a vertical displacement-time curve of the ridge, a vertical displacement-time curve of the cornice on the ignition side and a horizontal displacement-time curve of the cornice on the ignition side; and determining an early warning trigger condition and collapse time calculation parameters corresponding to each displacement-time curve, detecting whether each displacement-time curve meets the early warning trigger condition in real time, outputting the collapse early warning grade corresponding to the early warning trigger condition when the displacement-time curve meets the early warning trigger condition, calculating the residual collapse time by using the collapse time calculation parameters corresponding to the early warning trigger condition, and outputting the residual collapse time. Therefore, the early warning of the collapse time of the single-layer factory building under the fire disaster is achieved, the public safety value is high, the collapse early warning level is determined through the displacement-time curve law of the ridge and cornice of the factory building, the residual collapse time is calculated, the accuracy of the predicted time is higher, and the rescue efficiency and the life safety of firefighters are effectively guaranteed. The method only discloses the residual collapse time and collapse early warning level of the building in the fire disaster, but does not disclose the collapse range of the building in the fire disaster, and people and property in the non-collapse range are difficult to rescue in time due to unknown risks because of the fact that the collapse range is not disclosed.
The collapse of a fired building in a fire is currently caused by the following factors: the fire temperature of the building on fire, different materials of the building floor slab and the bearing capacity of the building floor slab are reduced due to high temperature, and when the bearing capacity of the floor slab is lower than the load of the floor slab due to high temperature, the building on fire collapses.
Disclosure of Invention
The invention aims to solve the technical problems, and further provides a fire scene collapse risk early warning method based on a digital twin technology.
The specific technical scheme of the invention is as follows:
s100, acquiring fire scene building environment information, and establishing a digital twin model of the fire scene building environment according to the fire scene building environment information, wherein the fire scene building environment information comprises: the floor thickness information of the burning area, the floor temperature distribution information, the weight information of the articles on the floor of the burning area, the position information of the articles on the floor of the burning area and the contact profile information of the articles on the floor of the burning area and the floor;
s200, determining a collapse initial profile according to floor temperature distribution information of a combustion area;
s300, determining an additional collapse profile according to the contact profile information of the objects on the floor slab in the burning area and the floor slab and the position information of the objects on the floor slab in the burning area;
s400, determining collapse risk level according to the thickness information of the floor slab in the burning area and the weight information of the objects on the floor slab in the burning area;
s500, determining a predicted collapse profile according to the additional collapse profile and the initial collapse profile;
and S600, acquiring the position information of the firefighters in real time, and timely sending the predicted collapse profile information and the collapse risk level to the firefighters when the position of the firefighters is coincident with the predicted collapse profile so as to realize collapse risk early warning.
The method for acquiring the environment information of the building in the fire scene and establishing the digital twin model of the building environment in the fire scene according to the environment information of the building in the fire scene comprises the following steps:
building a digital twin model database of the building, and calling a digital twin model of the building when a fire disaster occurs;
acquiring floor temperature distribution image information through a thermal infrared imager, and acquiring combustion area position information according to the floor temperature distribution image information;
acquiring floor thickness information of the combustion area according to the position information of the combustion area;
acquiring the image information of the objects in the burning area through a camera, and acquiring the contact contour of the objects in the burning area and the floor slab according to the image information of the objects in the burning area;
comparing the article image information of the burning area with the article image in the article management system to obtain the weight information of the article in the burning area;
the temperature distribution image, the weight information of the objects in the burning area and the contact profile information of the objects in the burning area and the floor slab are input into a digital twin model of the firing building.
The method for acquiring the floor temperature distribution information of the combustion area to determine the collapse initial profile comprises the following steps:
acquiring material information of building floors of buildings in fire sites;
setting a temperature threshold according to the material information of building floors of buildings on fire sites;
and acquiring temperature points which are not smaller than a temperature threshold value on the temperature distribution image, and acquiring a threshold temperature region by connecting adjacent temperature points, wherein a contour formed by the boundary of the threshold temperature region is a collapse initial contour.
The method for determining the additional collapse profile according to the contact profile information of the objects on the floor slab in the burning area and the floor slab and the position information of the objects on the floor slab in the burning area comprises the following steps:
and judging whether the contact profile of the combustion area and the initial profile of the collapse overlap or not, and when the contact profile of the combustion area and the initial profile of the collapse overlap, taking the non-overlapping part of the contact profile of the combustion area and the initial profile of the collapse as an additional collapse profile.
The method for determining collapse risk level according to the thickness information of the floor slab in the burning area and the weight information of the articles on the floor slab in the burning area comprises the following steps of,
calculating the bearing capacity M of the floor slab unit area of the combustion area according to the material information of the building floor slab of the building at the fire scene, the temperature information of the floor slab of the combustion area and the thickness information of the floor slab of the combustion area 0
Calculating the sum of the weights of the objects on the floor slab of the burning area in the predicted collapse profile as M 1 (kg);
According to the formula: S/H (1+M) 1 /S*M 0 )=α;
Wherein H is the thickness of the floor slab, S is the predicted collapse contour area, and alpha is the risk coefficient;
the larger the alpha value, the higher the collapse risk level;
the unit area bearing capacity M of the floor slab in the burning area is calculated according to the building material information of the building floor slab in the burning area, the temperature information of the floor slab in the burning area and the thickness information of the floor slab in the burning area 0 The method of (1) is as follows:
building a building floor bearing capacity database by collecting multiple experiments on refractory bearing experiments of different materials of the building floor, wherein the building floor bearing capacity database at least comprises: building floor material information, unit area bearing information, floor thickness information and floor temperature information;
obtaining ultimate collapse bearing information of the floor slab in unit area under the conditions of different building floor slab material information, different floor slab thickness information and different floor slab temperature information through multiple experiments, namely bearing capacity M of the building floor slab in unit area 0
Further, the mode of acquiring the position information of the firefighter in real time is as follows:
and according to the positioning device worn by the firefighter, acquiring the position of the firefighter in the building on the fire scene, and calibrating the position of the firefighter in the digital twin model of the building on the fire.
Further, when the position of the firefighter is coincident with the predicted collapse profile, timely sending the predicted collapse profile information and the collapse risk level to the firefighter, so that the collapse risk early warning method is realized, and the method comprises the following steps:
and according to the position of the firefighters in the digital twin model of the fire building, the predicted collapse outline information and the collapse risk level information command center send the predicted collapse outline information and the collapse risk level information to the firefighters in the building on the fire scene through communication equipment.
Further, the temperature threshold is a temperature value when the load bearing performance of the building floor slab of the building in the fire scene is reduced by 20%.
The invention has the advantages that: according to the invention, the temperature threshold value is set by acquiring floor temperature distribution image information, building floor material information of a fire scene building and building floor material information of the fire scene building; judging the initial profile of collapse; judging whether the contact profile of the combustion area and the initial collapse profile overlap or not according to the contact profile information of the objects on the floor slab of the combustion area and the floor slab and the position information of the objects on the floor slab of the combustion area, and when the contact profile overlaps, the non-overlapping part of the contact profile of the combustion area and the initial collapse profile is an additional collapse profile; more accurate judgement collapse area is through digital twin model with the additional profile of collapsing mark, through the positioner that firefighter wore simultaneously, confirm whether firefighter is in the collapse area, early warning is carried out to firefighter who is in the collapse area, has effectively avoided the casualties that cause because of the building collapses in the conflagration.
Drawings
Fig. 1 is a flowchart of a fire scene collapse risk early warning method based on a digital twin technology.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "upper," "middle," "outer," "inner," and the like indicate an orientation or a positional relationship, and are merely for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, a fire scene collapse risk early warning method based on digital twin technology includes:
s100, acquiring fire scene building environment information, and establishing a digital twin model of the fire scene building environment according to the fire scene building environment information, wherein the fire scene building environment information comprises: the floor thickness information of the burning area, the floor temperature distribution information, the weight information of the articles on the floor of the burning area, the position information of the articles on the floor of the burning area and the contact profile information of the articles on the floor of the burning area and the floor;
s200, determining a collapse initial profile according to floor temperature distribution information of a combustion area;
s300, determining an additional collapse profile according to the contact profile information of the objects on the floor slab in the burning area and the floor slab and the position information of the objects on the floor slab in the burning area;
s400, determining collapse risk level according to the thickness information of the floor slab in the burning area and the weight information of the objects on the floor slab in the burning area;
s500, determining a predicted collapse profile according to the additional collapse profile and the initial collapse profile;
s600, acquiring position information of firefighters in real time, and when the positions of the firefighters are coincident with the predicted collapse profile, timely transmitting the predicted collapse profile information and the collapse risk level to the firefighters so as to realize collapse risk early warning;
wherein, the scene of fire building environmental information includes: address information of a firing building, firing building engineering drawing information, firing building construction drawing information, firing building application information, firing building construction area information and firing building construction form information;
the floor thickness information of the burning area refers to: the length between the upper surface and the lower surface of the floor slab of the combustion area;
floor temperature distribution information refers to: the temperature of the floor rises due to fire, and the temperature distribution takes the fire point as the center and is radial to the periphery;
the weight information of the objects on the floor slab in the burning area is as follows: the dead weight of the article which is actually contacted with the floor slab in the combustion area;
the position information of the objects on the floor slab of the burning area is as follows: the distribution position of all the objects on the position of the combustion area;
the contact profile information of the objects on the floor slab in the burning area and the floor slab is as follows: the area of contact of the article in the combustion zone with the floor slab; for example: when the objects in the combustion area are provided with the objects with supporting feet, the contact areas are a plurality of connecting lines, the graph after the connecting lines is the contact area of the objects in the combustion area with the floor, when the objects in the combustion area are provided with the objects with supporting bottom plates, the supporting bottom plate area of the objects is the contact area of the objects in the combustion area with the floor, and the actual floor contact area of the objects is the contact area of the objects in the combustion area with the floor in other cases, the contact contour of the objects on the floor of the combustion area with the floor is determined according to the contour of the contact area;
collapse initial profile refers to: according to the temperature distribution information of the floor slab in the burning area, when the temperature exceeds the fire-resistant limit temperature of the floor slab in the burning area, the floor slab in the burning area loses the bearing capacity due to high temperature, and when the building floor slab in the burning area loses the bearing capacity, the collapsed area outline can be generated;
by obtaining the initial collapse profile, the collapse area can be positioned first, other collapse factors are combined with the initial collapse profile based on the initial collapse profile, and the predicted collapse profile is finally determined.
Determining collapse risk level by burning zone floor thickness information and burning zone floor weight information refers to: the building floor thickness is different, and its bearing capacity is also different, and the weight difference of placing article on the building floor is exerted to the pressure of building floor also different, and when burning zone floor temperature rises, even if does not reach its fire-resistant limit, also can cause the floor to place article position floor additional collapse because of the pressure that placing article gave on the floor to the floor exceeds the bearing capacity of burning zone floor, consequently will burn the regional floor collapse risk level and burn regional building floor thickness and the article weight on the burning zone floor.
The determination of the predicted collapse profile by the additional collapse profile and the initial collapse profile means: firstly, determining a collapse initial contour, comparing the collapse initial contour with the contact contour information of objects on the floor slab in the combustion area and the floor slab, and supplementing a non-overlapping area part into the collapse area when overlapping occurs, so as to determine a predicted collapse contour, further realize comprehensive comparison and more accurately judge the collapse contour of the floor slab in the combustion area.
The firefighter position coinciding with the predicted collapse profile means: the personal positioning device equipped by the firefighter can obtain the position of the firefighter, the firefighter can be calibrated by taking the positioning point as the center of a circle, the circle is drawn with the radius of 0.5 meter, the drawn circle can be regarded as the contour of the firefighter, and then when the contour of the firefighter overlaps with the predicted collapse contour, the firefighter is in the collapse area and the firefighter is subjected to early warning.
The method for acquiring the environment information of the building in the fire scene and establishing the digital twin model of the building environment in the fire scene according to the environment information of the building in the fire scene comprises the following steps:
building a digital twin model database of the building, and calling a digital twin model of the building when a fire disaster occurs;
building a digital twin model database of a building means: in the database system, the related information of the building is acquired to establish a digital twin model according to the acquired information, so that the update of real-time data is realized, and the simulation and the reasoning are used for helping the fire command to judge and make a decision.
Acquiring floor temperature distribution image information through a thermal infrared imager, and acquiring combustion area position information according to the floor temperature distribution image information;
the temperature distribution image information acquisition means includes, for example: the fire fighter wears the thermal infrared imager, the thermal infrared imager of far distance and thermal infrared imager of infrared placed in the lower floor of burning zone obtain the floor temperature distribution image, and then obtain the position information of burning zone, obtain the acquisition of burning zone position and form the floor temperature distribution image information;
acquiring floor thickness information of the combustion area according to the position information of the combustion area;
the step of acquiring the floor thickness information of the combustion area according to the position information of the combustion area is as follows: inputting floor temperature distribution image information into a digital twin model, and calling out the thickness of the floor in a combustion area;
acquiring the image information of the objects in the burning area through a camera, and acquiring the contact contour of the objects in the burning area and the floor slab according to the image information of the objects in the burning area;
the camera obtains the image information of the objects in the combustion area: the camera establishes a coordinate system through software, combines the acquired object images with the coordinate system, and further confirms the contact profile of the objects in the combustion area and the floor slab;
comparing the article image information of the burning area with the article image in the article management system to obtain the weight information of the article in the burning area;
the acquisition of the weight information of the objects in the combustion area is as follows: the article image information of the burning area is called, the data in the fixed asset system of the burning area is called, the data and the data are subjected to cross comparison, the article number of the burning area can be confirmed according to the comparison result, and then the article weight information is searched through the article number.
Inputting the temperature distribution image, the weight information of the objects in the burning area and the contact profile information of the objects in the burning area and the floor into a digital twin model of the firing building;
the digital twin model for inputting the temperature distribution image, the burning zone object weight information and the burning zone object and floor slab contact contour information into the firing building is as follows: the temperature distribution image acquired at the fire scene is input into the digital twin model through parameters such as the weight information of articles, the contact contour information of the floor slab and the like in the fixed asset system which are called by the camera, so that the digital twin model at the fire scene can be built in the fire command center, the fire rescue command center can obtain a model with precise visual operation, and the fire scene situation can be mastered and judged more precisely to command the fire scene rescue.
The method for acquiring the floor temperature distribution information of the combustion area to determine the collapse initial profile comprises the following steps:
acquiring material information of building floors of buildings in fire sites;
setting a temperature threshold according to the material information of building floors of buildings on fire sites;
the temperature threshold refers to: the temperature value of the bearing capacity of different building materials is reduced when the temperature threshold value is exceeded;
acquiring temperature points which are not smaller than a temperature threshold value on the temperature distribution image, connecting adjacent temperature points to acquire a threshold temperature region, wherein a contour formed by edges of the threshold temperature region is a collapse initial contour;
by setting a temperature threshold value and combining a threshold temperature region boundary line, the initial collapse profile is determined, the floor slab in the region loses the bearing capacity completely due to high temperature or loses the bearing capacity due to dead weight, and is at the critical value of collapse, at the moment, the condition in the initial collapse profile may be collapsed, which means that the passage cannot pass, if the passage is not collapsed, the initial collapse profile is also at the critical value of collapse, and the critical value may be broken through due to factors such as vibration, combustion hot air and the like, for example, firefighters are immediately withdrawn in the region.
The method for determining the additional collapse profile according to the contact profile information of the objects on the floor slab in the burning area and the floor slab and the position information of the objects on the floor slab in the burning area comprises the following steps:
judging whether the contact profile of the article in the burning area is overlapped with the initial collapse profile, and when the contact profile is overlapped, the non-overlapped part of the contact profile of the article in the burning area and the initial collapse profile is an additional collapse profile,
whether the combustion zone article contact profile overlaps the collapse initiation profile refers to: whether the combustion zone article contact profile intersects with the collapse initiation profile,
for example:
when the initial profile of collapse and the contact profile of the objects in the burning zone are completely free from intersection, no additional collapse profile exists in the burning zone;
when the collapse initial profile comprises the combustion zone article contact profile, no additional collapse profile is present in the combustion zone;
when the collapse initial profile intersects with the combustion zone article contact profile portion, the non-intersecting portion is an additional collapse profile;
the additional collapse profile is combined with the initial collapse profile to determine the predicted collapse profile, so that a collapse area with more accurate judgment is realized.
The method for determining collapse risk level according to the thickness information of the floor slab in the burning area and the weight information of the articles on the floor slab in the burning area comprises the following steps of,
calculating the bearing capacity of the floor slab unit area of the combustion area to be M according to the material information of the floor slab of the building in the fire scene, the temperature information of the floor slab of the combustion area and the thickness information of the floor slab of the combustion area 0
Under the condition that building floor materials are different, floor thicknesses are different and combustion temperatures are different through collection in multiple experiments, the floor unit area bearing capacity is further built, a building fire-resistant bearing database is built, and building floor material information, combustion area floor temperature information and combustion area floor thickness information are input into the database to obtain that the combustion area floor unit area bearing capacity is M 0;
Calculating the sum of the weights of the objects on the floor slab of the burning area in the predicted collapse profile as M 1 (kg);
The sum of the weights of the articles being M 1 (kg) means: predicting the total mass of all items in contact with the building floor within the collapse profile;
according to the formula: S/H (1+M) 1 /S*M 0 )=α;
Wherein H is the thickness of the floor slab, S is the predicted collapse contour area, and alpha is the risk coefficient;
the greater the alpha value the higher the collapse risk level,
for example: when the predicted collapse profile area is 20 square meters, the thickness of the floor slab is 0.12m, the bearing per unit area of the reinforced concrete structure is 0.4 tons per square meter, and no article exists on the building floor slab, alpha=166;
when the predicted collapse profile area is 20 square meters, the floor thickness is 0.12m, the unit area bearing of the reinforced concrete structure is 0.4 ton/square meter, and the total weight of articles on the building floor is 5t, alpha= 194.22;
when the predicted collapse profile area is 20 square meters, the floor thickness is 0.05m, the unit area bearing of the reinforced concrete structure is 0.4 tons per square meter, and the total weight of the articles on the building floor is 5t, alpha=468;
the following formula can be obtained: the risk coefficient alpha, the building floor thickness H and the bearing capacity per unit area are M 0; Inversely proportional, risk factor alphaSum M of total weight of articles and total weight of articles on building floor 1 Proportional to the ratio;
the mode for acquiring the position information of the firefighter in real time is as follows:
according to a positioning device worn by a firefighter, acquiring the position of the firefighter in a building on a fire scene, and calibrating the position of the firefighter in a digital twin model of the building on fire;
the location of firefighters calibrated in a digital twin model of a fire building is: the position of the fire fighter is input into the digital twin model, so that the real-time monitoring of the position of the fire fighter can be realized, and the command center can conveniently judge;
when the position of the firefighter is overlapped with the predicted collapse profile, timely sending the predicted collapse profile information and the collapse risk level to the firefighter, and further realizing the collapse risk early warning method comprises the following steps:
according to the position of firefighters in the digital twin model of the fire building, the predicted collapse outline information and the collapse risk level information command center send the predicted collapse outline information and the collapse risk level information to firefighters in the building on the fire scene through communication equipment;
the information command center sends the predicted collapse outline information and the collapse risk level information to firefighters in the building on the fire scene through communication equipment: fire fighters in fire scene wear the positioning system and the mobile communication terminal, the mobile communication terminal can communicate with the communication equipment of the command center in real time, and when the communication signal of the position of the fire scene is bad, the unmanned aerial vehicle can be made to approach the safety range outside the fire scene to carry out relay communication tasks.
The temperature threshold value is a temperature value when the load bearing performance of the building floor slab of the building in the fire scene is reduced by 20 percent,
the temperature threshold refers to: calling bearing performance information of the building floor slab through a building fire-resistant bearing database, when the bearing performance of the building floor slab is reduced by 20% at a specific temperature, the building floor slab can be reduced due to the bearing performance, the self weight cannot be born, and collapse occurs, and the specific temperature is a temperature threshold at the moment, and the collapse initial profile can be accurately positioned by acquiring the temperature threshold;
the bearing performance of the floor slab is as follows: bearing capacity of floor slab unit area;
the unit area bearing capacity M of the floor slab in the burning area is calculated according to the building material information of the building floor slab in the burning area, the temperature information of the floor slab in the burning area and the thickness information of the floor slab in the burning area 0 The method of (1) is as follows:
building a building floor bearing capacity database by collecting multiple experiments on refractory bearing experiments of different materials of the building floor, wherein the building floor bearing capacity database at least comprises: building floor material information, unit area bearing information, floor thickness information and floor temperature information;
obtaining ultimate collapse bearing information of the floor slab in unit area under the conditions of different building floor slab material information, different floor slab thickness information and different floor slab temperature information through multiple experiments, namely bearing capacity M of the building floor slab in unit area 0
And further, the information required by the formula is acquired.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (4)

1. A fire scene collapse risk early warning method based on a digital twin technology is characterized in that,
s100, acquiring fire scene building environment information, and establishing a digital twin model of the fire scene building environment according to the fire scene building environment information, wherein the fire scene building environment information comprises: the method comprises the steps of burning area floor thickness information, burning area floor temperature distribution information, burning area floor weight information, burning area floor article position information and burning area floor article and floor contact profile information;
s200, determining a collapse initial profile according to floor temperature distribution information of a combustion area;
s300, determining an additional collapse profile according to the contact profile information of the objects on the floor slab in the burning area and the floor slab and the position information of the objects on the floor slab in the burning area;
s400, determining collapse risk level according to the thickness information of the floor slab in the burning area and the weight information of the objects on the floor slab in the burning area;
s500, determining a predicted collapse profile according to the additional collapse profile and the initial collapse profile;
s600, acquiring position information of firefighters in real time, and when the positions of the firefighters are coincident with the predicted collapse profile, timely transmitting the predicted collapse profile information and the collapse risk level to the firefighters so as to realize collapse risk early warning;
the method for acquiring the environment information of the building in the fire scene and establishing the digital twin model of the building environment in the fire scene according to the environment information of the building in the fire scene comprises the following steps:
building a digital twin model database of the building, and calling a digital twin model of the building when a fire disaster occurs;
acquiring floor temperature distribution image information through a thermal infrared imager, and acquiring combustion area position information according to the floor temperature distribution image information;
acquiring floor thickness information of the combustion area according to the position information of the combustion area;
acquiring the image information of the objects in the burning area through a camera, and acquiring the contact contour of the objects in the burning area and the floor slab according to the image information of the objects in the burning area;
comparing the article image information of the burning area with the article image in the article management system to obtain the weight information of the article in the burning area;
inputting the temperature distribution image, the weight information of the objects in the burning area and the contact profile information of the objects in the burning area and the floor into a digital twin model of the firing building;
the method for determining the collapse initial profile according to the floor temperature distribution information of the combustion area comprises the following steps:
acquiring material information of building floors of buildings in fire sites;
setting a temperature threshold according to the material information of building floors of buildings on fire sites;
acquiring temperature points which are not smaller than a temperature threshold value on the temperature distribution image, connecting adjacent temperature points to acquire a threshold temperature region, wherein a contour formed by edges of the threshold temperature region is a collapse initial contour;
the method for determining the additional collapse profile according to the contact profile information of the objects on the floor slab in the burning area and the floor slab and the position information of the objects on the floor slab in the burning area comprises the following steps:
judging whether the contact profile of the combustion area and the initial profile of the collapse overlap or not, and when the contact profile of the combustion area and the initial profile of the collapse overlap, taking the non-overlapping part of the contact profile of the combustion area and the initial profile of the collapse as an additional collapse profile;
the method for determining collapse risk level according to the thickness information of the floor slab in the burning area and the weight information of the objects on the floor slab in the burning area comprises the following steps:
calculating the bearing capacity M of the floor slab unit area of the combustion area according to the material information of the building floor slab of the building at the fire scene, the temperature information of the floor slab of the combustion area and the thickness information of the floor slab of the combustion area 0
Calculating the sum of the weights of the objects on the floor slab of the burning area in the predicted collapse profile as M 1 The unit is: kg;
according to the formula: S/H (1+M) 1 /S*M 0 )=α;
Wherein H is the thickness of the floor slab, S is the predicted collapse contour area, and alpha is the risk coefficient;
the larger the alpha value, the higher the collapse risk level;
the unit area bearing capacity M of the floor slab in the burning area is calculated according to the material information of the building floor slab in the fire scene, the temperature information of the floor slab in the burning area and the thickness information of the floor slab in the burning area 0 The method of (1) is as follows:
building a building floor bearing capacity database by collecting multiple experiments on refractory bearing experiments of different materials of the building floor, wherein the building floor bearing capacity database at least comprises: building floor material information, unit area bearing information, floor thickness information and floor temperature information;
obtaining ultimate collapse bearing information of the floor slab in unit area under the conditions of different building floor slab material information, different floor slab thickness information and different floor slab temperature information through multiple experiments, namely bearing capacity M of the building floor slab in unit area 0
2. The fire scene collapse risk early warning method based on the digital twin technology according to claim 1, wherein the manner of acquiring the position information of the firefighters in real time is as follows:
and according to the positioning device worn by the firefighter, acquiring the position of the firefighter in the building on the fire scene, and calibrating the position of the firefighter in the digital twin model of the building on the fire.
3. The method for early warning the collapse risk of the fire scene based on the digital twin technology according to claim 2, wherein when the position of the firefighter is coincident with the predicted collapse profile, the method for timely sending the predicted collapse profile information and the collapse risk level to the firefighter so as to realize early warning of the collapse risk is as follows:
according to the position of firefighters in the digital twin model of the fire building, the predicted collapse outline information and the collapse risk level information, the command center sends the predicted collapse outline information and the collapse risk level information to firefighters in the fire scene building through communication equipment.
4. The method for early warning of collapse risk in fire scene based on digital twin technology according to claim 3, wherein the temperature threshold is a temperature value when the load-bearing performance of the building floor of the building in fire scene is reduced by 20%.
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