Intelligent fire fighting system based on digital twinning technology

Abstract

The invention provides an intelligent fire fighting system based on a digital twinning technology, and belongs to the technical field of intelligent fire fighting, and the system comprises a digital twinning model construction module which is used for constructing a digital twinning model based on building data of an interested building and equipment data of fire fighting equipment in the interested building; the fire-fighting simulation model generation module is used for acquiring fire-fighting alarm information and adding the fire-fighting alarm information to the digital twinborn model to generate a fire-fighting simulation model; the early warning coefficient determination module is used for acquiring model parameters in the fire-fighting simulation model and determining an early warning coefficient based on the model parameters; and the fire-fighting decision generation module is used for generating a fire-fighting decision scheme and a fire-fighting equipment driving instruction when the early warning coefficient is greater than a threshold coefficient, the fire-fighting equipment driving instruction is used for driving fire-fighting equipment to enter a pre-starting state, and the fire-fighting decision scheme is used for indicating firefighters to perform fire rescue. According to the invention, the timeliness and accuracy of fire rescue are improved.

Description

Technical Field

[0001] The present invention relates to the field of smart fire fighting technology, and in particular to a smart fire fighting system based on digital twin technology. Background Art

[0002] With the acceleration of urbanization, the rapid development of high-rise buildings, underground spaces, and large commercial complexes, the potential risk of fire accidents has increased, which has put forward higher requirements for firefighting work; traditional firefighting work usually requires on-site personnel to monitor, manage, dispatch, and command, and relies on manual decision-making. However, manual decision-making methods are difficult to grasp the overall picture of the fire scene, resulting in inaccurate fire assessment and prediction, which in turn leads to poor timeliness of fire rescue and causes unnecessary casualties.

[0003] Therefore, there is an urgent need to provide a smart fire-fighting system based on digital twin technology to achieve overall control of the fire scene, improve the timeliness of firefighting and rescue, and ensure the safety of personnel. Summary of the invention

[0004] In view of this, it is necessary to provide an intelligent fire-fighting system based on digital twin technology to solve the technical problems existing in the existing technology that rely on manual decision-making, resulting in poor timeliness of fire-fighting and rescue.

[0005] In order to solve the above technical problems, the present invention provides a smart fire fighting system based on digital twin technology, comprising: A digital twin model construction module, used to construct a digital twin model based on the building data of the building of interest and the equipment data of the fire-fighting equipment inside the building of interest; A fire simulation model generation module, used to obtain fire alarm information, and add the fire alarm information to the digital twin model to generate a fire simulation model; An early warning coefficient determination module is used to obtain model parameters in the fire simulation model and determine the early warning coefficient based on the model parameters; The firefighting decision generation module is used to generate a firefighting decision plan and a firefighting equipment driving instruction when the warning coefficient is greater than the threshold coefficient. The firefighting equipment driving instruction is used to drive the firefighting equipment into a pre-start state, and the firefighting decision plan is used to instruct firefighters to perform firefighting rescue.

[0006] In a possible implementation, the building of interest includes multiple building sub-areas, and the model parameters include multiple model sub-parameters corresponding to the multiple building sub-areas, and the model sub-parameters include the rising duration of the smoke concentration and the ambient temperature rising synchronously, the first ambient temperature rising speed of the adjacent building sub-area when the ambient temperature of the current building sub-area rises, the second ambient temperature rising speed of the building sub-area after the emergency means are activated, and the decreasing rate of the second ambient temperature rising speed; the warning coefficient is:

[0007]

[0008]

[0009] In the formula, is the warning factor; is the sub-warning coefficient of the i-th building sub-area; is the total number of warning sub-areas; is the error correction factor; is the duration of the ascent; is the first ambient temperature rising rate; is the rising speed of the second ambient temperature; is the rate of decline; is the first coefficient; is the second coefficient; is the third coefficient; is the fourth coefficient.

[0010] In a possible implementation, the fire decision plan includes a fire path, and the fire decision generation module includes a fire point determination unit and a fire path planning unit; The fire point determination unit is used to determine the location of the fire point based on a plurality of smoke alarms arranged inside the building of interest; The firefighting path planning unit is used to construct an objective function based on the location of the fire point, the entrance and exit of the building of interest, and determine the firefighting path based on the objective function and the ant colony algorithm.

[0011] In a possible implementation, the fire point determination unit includes a smoke alarm data acquisition subunit and a fire point analysis and determination subunit; The smoke alarm data acquisition subunit is used to acquire multiple groups of smoke concentration sequences corresponding to multiple groups of infrared emitters in each of the smoke alarms and the position relationship of the multiple smoke alarms; The fire point analysis and determination subunit is used to determine the position of the fire point relative to the smoke alarm based on the multiple groups of smoke concentration sequences, and determine the position of the fire point based on the position of the fire point relative to the smoke alarm and the positional relationship of the multiple smoke alarms.

[0012] In a possible implementation, the smoke alarm includes a first smoke alarm, the multiple groups of smoke concentration sequences include multiple groups of first smoke concentration sequences corresponding to the first smoke alarm; the fire point analysis and determination subunit includes a direction determination subunit and a fire point position analysis subunit; The orientation determination subunit is used to sort the multiple groups of smoke concentration sequences on the time axis in chronological order, and determine the moment when the concentration value in each group of smoke concentration sequences jumps; if the moment when the first position on the time axis jumps belongs to only one group of infrared emitters, the direction of the infrared emitters is the position of the fire point relative to the first smoke alarm; if the moment when the first position on the time axis jumps belongs to two adjacent groups of infrared emitters, the direction of the symmetry axis of the two groups of infrared emitters is the position of the fire point relative to the first smoke alarm; if the moment when the first position on the time axis jumps belongs to at least two non-adjacent groups of infrared emitters, the directions of at least two groups of infrared emitters are the positions of the fire point relative to the first smoke alarm; The fire point position analysis subunit is used to search for the second smoke alarm that is closest to the fire point based on the position of the fire point relative to the first smoke alarm, and determine the position of the fire point relative to the second smoke alarm. If the position of the fire point relative to the second smoke alarm is toward the first smoke alarm, the fire point is located between the first smoke alarm and the second smoke alarm.

[0013] In a possible implementation, the objective function is:

[0014] In the formula, is the safety factor; is the exit location; is the entrance location; is the location of the fire; is the collision coefficient; is the obstacle position of the th obstacle in the building of interest.

[0015] In a possible implementation, the firefighting decision generation module further includes a rescue plan determination unit; The rescue plan determination unit is used to determine a rescue effectiveness value and a rescue risk value. When the rescue effectiveness value is greater than an effectiveness threshold, the firefighting path is optimized based on the location of the persons to be escaped inside the building of interest to obtain an optimized path, and the persons to be escaped are searched and rescued based on the optimized path. When the rescue effectiveness value is less than or equal to the effectiveness threshold, it is determined whether the rescue risk value is greater than the risk threshold. When the rescue risk value is greater than the risk threshold, firefighters are prohibited from entering the building of interest and rescue is performed outside. When the rescue risk value is less than or equal to the risk threshold, firefighting rescue is performed based on the firefighting path.

[0016] In a possible implementation, the rescue effective value is:

[0017] The rescue risk value is:

[0018]

[0019]

[0020] In the formula, is the effective value of rescue; N is the total number of people to be escaped; M is the total number of escape routes connected to the fire point in the building of interest; L is the escape distance of each escape route; is the rescue risk value; is the oxygen weight; is the oxygen rescue risk value; is the temperature weight; is the temperature rescue risk value; is the oxygen influx mass influence coefficient; is the oxygen outflow mass influence coefficient; is the oxygen diffusion adsorption mass influence coefficient; The mass of oxygen flowing into the fire through the open area; is the mass of oxygen flowing out of the fire through the open area; is the mass of oxygen adsorbed on the surface of the combustible; is the flame initiation temperature risk factor; is the combustion heat risk factor of combustibles; is the air convection heat risk factor; is the flame initiation temperature at the ignition point; It is the heat of combustion of combustibles in a unit enclosed space; It is the convection heat generated by the convection between air and combustibles in a unit enclosed space.

[0021] In a possible implementation, the fire simulation model generation module includes a fire alarm information processing unit and a fire simulation model generation unit; The fire alarm information processing unit is used to extract information from the fire alarm information to obtain key alarm information; The fire simulation model generation unit is used to add the alarm key information to the digital twin model to generate the fire simulation model.

[0022] In a possible implementation, the fire alarm information processing unit includes a text analysis subunit, an urgency classification subunit, and a key information generation subunit; The text analysis subunit is used to extract features from the fire alarm information based on a long short-term memory network model to obtain a summary of the alarm content; The urgency classification subunit is used to determine the emotional tendency in the fire alarm information based on a support vector machine, and to classify the degree based on the alarm content summary and the emotional tendency to determine the urgency category of the fire alarm information; The key information generating subunit is used to generate the alarm key information based on the alarm content summary and the urgency category.

[0023] The beneficial effect of the present invention is that the intelligent fire protection system based on digital twin technology provided by the present invention constructs a digital twin model including building data and equipment data through a digital twin model, thereby realizing a comprehensive observation of the building of interest, thereby improving the comprehensive identification of fire incidents in the building of interest, and thereby improving the accuracy of the final determined fire protection decision plan.

[0024] Furthermore, the present invention determines the warning coefficient of the fire simulation model by setting up a warning coefficient determination module, and judges the degree of the fire incident in the building of interest based on the warning coefficient, thereby improving the refinement of decision-making.

[0025] Furthermore, the fire decision generation module in the present invention generates a fire equipment driving instruction for driving the fire equipment into a pre-start state while generating a fire decision plan, which can avoid the time for firefighters to manually adjust the state of the fire equipment to the pre-start state when they arrive at the building of interest. That is, when the firefighters arrive at the building of interest, the fire equipment can be put into use directly without pre-start, which saves time for firefighting and rescue, improves the timeliness of firefighting and rescue, and ensures the safety of personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A schematic diagram of the structure of an embodiment of a smart fire protection system based on digital twin technology provided by the present invention; Figure 2 A schematic structural diagram of an embodiment of the fire point analysis and determination subunit provided by the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0029] It should be understood that the schematic drawings are not drawn to scale. The flowchart used in the present invention shows the operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art, under the guidance of the content of the present invention, can add one or more other operations to the flowchart, and can also remove one or more operations from the flowchart. Some of the block diagrams shown in the accompanying drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0030] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0031] The present invention provides a smart fire fighting system based on digital twin technology, which is described below.

[0032] Figure 1The present invention provides a schematic diagram of an embodiment of a smart fire protection system based on digital twin technology, as shown in Figure 1 As shown, the smart fire protection system 10 based on digital twin technology includes: A digital twin model construction module 100 is used to construct a digital twin model based on the building data of the building of interest and the equipment data of the fire protection equipment inside the building of interest; The fire simulation model generation module 200 is used to obtain fire alarm information and add the fire alarm information to the digital twin model to generate a fire simulation model; The early warning coefficient determination module 300 is used to obtain model parameters in the fire simulation model and determine the early warning coefficient based on the model parameters; The firefighting decision generating module 400 is used to generate a firefighting decision plan and a firefighting equipment driving instruction when the warning coefficient is greater than the threshold coefficient. The firefighting equipment driving instruction is used to drive the firefighting equipment into a pre-start state, and the firefighting decision plan is used to instruct firefighters to perform firefighting rescue.

[0033] Among them, the digital twin model can be established through Autodesk Revit modeling software.

[0034] Among them, internal fire-fighting equipment includes but is not limited to fire hydrants, fire extinguishers, fire hoses, etc.

[0035] It should be noted that the building of interest can be any building, such as a shopping mall, a residential building, etc., which can be determined or selected according to actual needs.

[0036] It should also be noted that the pre-start state of the fire-fighting equipment refers to a state in which the fire-fighting water pipe is full of water and the fire-fighting equipment can be used directly for firefighting.

[0037] It should be understood that the threshold coefficient can be set or adjusted according to the actual application scenario and is not specifically limited here.

[0038] Compared with the prior art, the smart fire protection system 10 based on digital twin technology provided in the embodiment of the present invention constructs a digital twin model including building data and equipment data through the digital twin model construction model 100, thereby realizing a comprehensive observation of the building of interest, thereby improving the comprehensive identification of fire incidents in the building of interest, and thereby improving the accuracy of the final determined fire protection decision plan.

[0039] Furthermore, the embodiment of the present invention determines the warning coefficient of the fire simulation model by setting the warning coefficient determination module 300, and judges the degree of the fire incident in the building of interest based on the warning coefficient, thereby improving the refinement of decision-making.

[0040] Furthermore, the firefighting decision generation module 400 in the embodiment of the present invention, while generating a firefighting decision plan, also generates a firefighting equipment driving instruction for driving the firefighting equipment into a pre-start state, thereby avoiding the time for firefighters to manually adjust the state of the firefighting equipment to the pre-start state when they arrive at the building of interest. That is, when the firefighters arrive at the building of interest, the firefighting equipment can be put into use directly without pre-starting, thereby saving time for firefighting and rescue, improving the timeliness of firefighting and rescue, and ensuring the safety of personnel.

[0041] To improve the accuracy of the determined warning coefficient, in some embodiments of the present invention, the building of interest includes multiple building sub-areas, and the model parameters include multiple model sub-parameters corresponding to the multiple building sub-areas, and the model sub-parameters include the rising duration of the smoke concentration and the ambient temperature rising synchronously, the first ambient temperature rising speed of the adjacent building sub-area when the ambient temperature of the current building sub-area rises, the second ambient temperature rising speed of the building sub-area after the emergency means are activated, and the decreasing rate of the second ambient temperature rising speed; the warning coefficient is:

[0042]

[0043]

[0044] In the formula, is the warning factor; is the sub-warning coefficient of the i-th building sub-area; is the total number of warning sub-areas; is the error correction factor; is the duration of the ascent; is the first ambient temperature rising rate; is the rising speed of the second ambient temperature; is the rate of decline; is the first coefficient; is the second coefficient; is the third coefficient; is the fourth coefficient.

[0045] The embodiment of the present invention takes into account four factors in the process of determining the warning coefficient: the duration of the synchronous rise of smoke concentration and ambient temperature, the first ambient temperature rising speed of the adjacent building sub-area when the ambient temperature of the current building sub-area rises, the second ambient temperature rising speed of the building sub-area after the emergency measures are activated, and the decrease rate of the second ambient temperature rising speed, thereby improving the characteristic dimension of the data and further improving the accuracy of the determined warning coefficient.

[0046] In practical applications, finding the fire point is crucial for firefighting and rescue. Quickly finding the fire point can improve the speed of fire extinguishing and avoid further loss of life and property. Therefore, in some embodiments of the present invention, the firefighting decision plan includes a firefighting path, which is the shortest path from the entrance to the exit and passes through the fire point, such as Figure 1 As shown, the fire fighting decision making module 400 includes a fire point determination unit 410 and a fire fighting path planning unit 420; The fire point determination unit 410 is used to determine the location of the fire point based on a plurality of smoke alarms arranged inside the building of interest; The firefighting path planning unit 420 is used to construct an objective function based on the location of the fire point, the entrance and exit of the building of interest, and determine the firefighting path based on the objective function and the ant colony algorithm.

[0047] The embodiment of the present invention accurately determines the location of the fire point, and then constructs an objective function based on the location of the fire point, the entrance location and the exit location of the building of interest, and determines the firefighting path based on this, which can ensure the accuracy and rationality of the firefighting path, thereby further improving the timeliness of firefighting rescue.

[0048] In some embodiments of the present invention, Figure 1 As shown, the fire point determination unit 410 includes a smoke alarm data acquisition subunit 411 and a fire point analysis and determination subunit 412; The smoke alarm data acquisition subunit 411 is used to acquire multiple groups of smoke concentration sequences corresponding to multiple groups of infrared emitters in each smoke alarm and the position relationship of multiple smoke alarms; The fire point analysis and determination subunit 412 is used to determine the position of the fire point relative to the smoke alarm based on multiple sets of smoke concentration sequences, and determine the position of the fire point based on the position of the fire point relative to the smoke alarm and the positional relationship of multiple smoke alarms.

[0049] Compared with the method of determining the location of the fire point through video / image in the prior art, the embodiment of the present invention determines the location of the fire point based on the smoke alarm data obtained from the smoke alarm, thereby avoiding the technical problem of being unable to determine the location of the fire point due to the inability to obtain video / image when the fire is large, thereby ensuring the safe and reliable determination of the location of the fire point and providing a reference for the subsequent determination of the fire-fighting path.

[0050] In a specific embodiment of the present invention, the smoke alarm includes a first smoke alarm, and the plurality of groups of smoke concentration sequences include a plurality of groups of first smoke concentration sequences corresponding to the first smoke alarm; Figure 2 As shown, the fire point analysis and determination subunit 412 includes an orientation determination subunit 4121 and a fire point position analysis subunit 4122; The orientation determination subunit 4121 is used to sort the multiple groups of smoke concentration sequences on the time axis in chronological order, and determine the moment when the concentration value in each group of smoke concentration sequences jumps; if the moment when the first position on the time axis jumps belongs to only one group of infrared emitters, the direction of the infrared emitters is the orientation of the fire point relative to the first smoke alarm; if the moment when the first position on the time axis jumps belongs to two adjacent groups of infrared emitters, the direction of the symmetry axis of the two groups of infrared emitters is the orientation of the fire point relative to the first smoke alarm; if the moment when the first position on the time axis jumps belongs to at least two non-adjacent groups of infrared emitters, the directions of at least two groups of infrared emitters are the orientation of the fire point relative to the first smoke alarm; The fire point location analysis subunit 4122 is used to search for the second smoke alarm that is closest based on the direction of the fire point relative to the first smoke alarm, and determine the direction of the fire point relative to the second smoke alarm. If the direction of the fire point relative to the second smoke alarm is toward the first smoke alarm, the fire point is located between the first smoke alarm and the second smoke alarm.

[0051] It should be noted that if the position of the fire point relative to the second smoke alarm does not exceed the first smoke alarm, the second smoke alarm will be used as the new first smoke alarm and the search will be repeated until the position of the fire point is determined.

[0052] In a specific embodiment of the present invention, the objective function is:

[0053] In the formula, is the safety factor; is the exit location; is the entrance location; is the location of the fire; is the collision coefficient; For the first building of interest The obstacle position of the obstacle.

[0054] When a fire occurs, there is a large amount of smoke that is harmful to the human body in the building of interest, and the temperature is high. In order to take into account the personal safety of firefighters and people waiting to escape during the rescue process, improve the rescue efficiency and reduce rescue casualties, in some embodiments of the present invention, such as Figure 1 As shown, the fire fighting decision making module 400 further includes a rescue plan determining unit 430; The rescue plan determination unit 430 is used to determine the rescue effectiveness value and the rescue risk value. When the rescue effectiveness value is greater than the effectiveness threshold, the firefighting path is optimized based on the location of the persons to be escaped inside the building of interest, the optimized path is obtained, and the persons to be escaped are searched and rescued based on the optimized path. When the rescue effectiveness value is less than or equal to the effectiveness threshold, it is determined whether the rescue risk value is greater than the risk threshold. When the rescue risk value is greater than the risk threshold, firefighters are prohibited from entering the building of interest and rescue is carried out outside. When the rescue risk value is less than or equal to the risk threshold, firefighting rescue is carried out based on the firefighting path.

[0055] In a specific embodiment of the present invention, the rescue effective value is:

[0056] The rescue risk value is:

[0057]

[0058]

[0059] In the formula, is the effective value of rescue; N is the total number of people to be escaped; M is the total number of escape routes connected to the fire point in the building of interest; L is the escape distance of each escape route; is the rescue risk value; is the oxygen weight; is the oxygen rescue risk value; is the temperature weight; is the temperature rescue risk value; is the oxygen influx mass influence coefficient; is the oxygen outflow mass influence coefficient; is the oxygen diffusion adsorption mass influence coefficient; The mass of oxygen flowing into the fire through the open area; is the mass of oxygen flowing out of the fire through the open area; is the mass of oxygen adsorbed on the surface of the combustible; is the flame initiation temperature risk factor; is the combustion heat risk factor of combustibles; is the air convection heat risk factor; is the flame initiation temperature at the ignition point; It is the heat of combustion of combustibles in a unit enclosed space; It is the convection heat generated by the convection between air and combustibles in a unit enclosed space.

[0060] Since fire alarm information is usually initiated by non-professional firefighters, in order to improve the accuracy and simplicity of the generated fire simulation model, in some embodiments of the present invention, Figure 1 As shown, the fire simulation model generation module 200 includes a fire alarm information processing unit 210 and a fire simulation model generation unit 220; The fire alarm information processing unit 210 is used to extract the fire alarm information and obtain the key alarm information; The fire simulation model generation unit 220 is used to add the key alarm information to the digital twin model to generate a fire simulation model.

[0061] The embodiment of the present invention extracts fire alarm information through the fire alarm information processing unit 210 to extract key alarm information, which can avoid adding unnecessary information to the fire simulation model, improve the accuracy and simplicity of the fire simulation model, and further improve the visualization effect of the fire simulation model.

[0062] In a specific embodiment of the present invention, Figure 1 As shown, the fire alarm information processing unit 210 includes a text analysis subunit 211, an emergency level classification subunit 212, and a key information generation subunit 213; The text analysis subunit 211 is used to extract features of the fire alarm information based on the long short-term memory network model to obtain a summary of the alarm content; The urgency classification subunit 212 is used to determine the emotional tendency in the fire alarm information based on the support vector machine, and to classify the degree based on the alarm content summary and the emotional tendency to determine the urgency category of the fire alarm information; The key information generating subunit 213 is used to generate alarm key information based on the alarm content summary and the urgency category.

[0063] The embodiment of the present invention can improve the accuracy of the emergency category by setting the emergency classification subunit 212 to classify the alarm content summary and emotional tendency, thereby ensuring the accuracy of the generated alarm key information to further improve the efficiency of fire rescue.

[0064] It should be noted that the key alarm information includes the emergency category of the fire incident, such as emergency, general emergency and general warning.

[0065] The above is a detailed introduction to a smart fire fighting system based on digital twin technology provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A smart fire fighting system based on digital twin technology, characterized in that: include: A digital twin model construction module, used to construct a digital twin model based on the building data of the building of interest and the equipment data of the fire-fighting equipment inside the building of interest; A fire simulation model generation module, used to obtain fire alarm information, and add the fire alarm information to the digital twin model to generate a fire simulation model; An early warning coefficient determination module is used to obtain model parameters in the fire simulation model and determine the early warning coefficient based on the model parameters; The firefighting decision generation module is used to generate a firefighting decision plan and a firefighting equipment driving instruction when the warning coefficient is greater than the threshold coefficient. The firefighting equipment driving instruction is used to drive the firefighting equipment into a pre-start state, and the firefighting decision plan is used to instruct firefighters to perform firefighting rescue.

2. The intelligent fire fighting system based on digital twin technology according to claim 1 is characterized in that: The building of interest includes multiple building sub-areas, and the model parameters include multiple model sub-parameters corresponding to the multiple building sub-areas, and the model sub-parameters include the rising duration of the smoke concentration and the ambient temperature rising synchronously, the first ambient temperature rising speed of the adjacent building sub-area when the ambient temperature of the current building sub-area rises, the second ambient temperature rising speed of the building sub-area after the emergency means are activated, and the decreasing rate of the second ambient temperature rising speed; the warning coefficient is: In the formula, is the warning factor; is the sub-warning coefficient of the i-th building sub-area; is the total number of warning sub-areas; is the error correction factor; is the duration of the ascent; is the first ambient temperature rising rate; is the rising speed of the second ambient temperature; is the rate of decline; is the first coefficient; is the second coefficient; is the third coefficient; is the fourth coefficient.

3. The intelligent fire fighting system based on digital twin technology according to claim 1 is characterized in that: The fire decision plan includes a fire path, and the fire decision generation module includes a fire point determination unit and a fire path planning unit; The fire point determination unit is used to determine the location of the fire point based on a plurality of smoke alarms arranged inside the building of interest; The firefighting path planning unit is used to construct an objective function based on the location of the fire point, the entrance and exit of the building of interest, and determine the firefighting path based on the objective function and the ant colony algorithm.

4. The intelligent fire fighting system based on digital twin technology according to claim 3 is characterized in that: The fire point determination unit includes a smoke alarm data acquisition subunit and a fire point analysis and determination subunit; The smoke alarm data acquisition subunit is used to acquire multiple groups of smoke concentration sequences corresponding to multiple groups of infrared emitters in each of the smoke alarms and the position relationship of the multiple smoke alarms; The fire point analysis and determination subunit is used to determine the position of the fire point relative to the smoke alarm based on the multiple groups of smoke concentration sequences, and determine the position of the fire point based on the position of the fire point relative to the smoke alarm and the positional relationship of the multiple smoke alarms.

5. The intelligent fire fighting system based on digital twin technology according to claim 4 is characterized in that: The smoke alarm includes a first smoke alarm, the multiple groups of smoke concentration sequences include multiple groups of first smoke concentration sequences corresponding to the first smoke alarm; the fire point analysis and determination subunit includes a direction determination subunit and a fire point position analysis subunit; The orientation determination subunit is used to sort the multiple groups of smoke concentration sequences on the time axis in chronological order, and determine the moment when the concentration value in each group of smoke concentration sequences jumps; if the moment when the first position on the time axis jumps belongs to only one group of infrared emitters, the direction of the infrared emitters is the position of the fire point relative to the first smoke alarm; if the moment when the first position on the time axis jumps belongs to two adjacent groups of infrared emitters, the direction of the symmetry axis of the two groups of infrared emitters is the position of the fire point relative to the first smoke alarm; if the moment when the first position on the time axis jumps belongs to at least two non-adjacent groups of infrared emitters, the directions of at least two groups of infrared emitters are the positions of the fire point relative to the first smoke alarm; The fire point position analysis subunit is used to search for the second smoke alarm that is closest to the fire point based on the position of the fire point relative to the first smoke alarm, and determine the position of the fire point relative to the second smoke alarm. If the position of the fire point relative to the second smoke alarm is toward the first smoke alarm, the fire point is located between the first smoke alarm and the second smoke alarm.

6. The intelligent fire fighting system based on digital twin technology according to claim 3 is characterized in that: The objective function is: In the formula, is the safety factor; is the exit location; is the entrance location; is the location of the fire; is the collision coefficient; For the first building of interest The obstacle position of the obstacle.

7. The intelligent fire fighting system based on digital twin technology according to claim 3 is characterized in that: The firefighting decision-making module also includes a rescue plan determination unit; The rescue plan determination unit is used to determine a rescue effectiveness value and a rescue risk value. When the rescue effectiveness value is greater than an effectiveness threshold, the firefighting path is optimized based on the location of the persons to be escaped inside the building of interest to obtain an optimized path, and the persons to be escaped are searched and rescued based on the optimized path. When the rescue effectiveness value is less than or equal to the effectiveness threshold, it is determined whether the rescue risk value is greater than the risk threshold. When the rescue risk value is greater than the risk threshold, firefighters are prohibited from entering the building of interest and rescue is performed outside. When the rescue risk value is less than or equal to the risk threshold, firefighting rescue is performed based on the firefighting path.

8. The intelligent fire fighting system based on digital twin technology according to claim 7 is characterized in that: The rescue valid values ​​are: The rescue risk value is: In the formula, It is the effective value of rescue; N is the total number of people to be escaped; M is the total number of escape routes connected to the fire point in the building of interest; L is the escape distance of each escape route; is the rescue risk value; is the oxygen weight; is the oxygen rescue risk value; is the temperature weight; is the temperature rescue risk value; is the oxygen influx mass influence coefficient; is the oxygen outflow mass influence coefficient; is the oxygen diffusion adsorption mass influence coefficient; The mass of oxygen flowing into the fire through the open area; is the mass of oxygen flowing out of the fire through the open area; is the mass of oxygen adsorbed on the surface of the combustible; is the flame initiation temperature risk factor; is the combustion heat risk factor of combustibles; is the air convection heat risk factor; is the flame initiation temperature at the ignition point; It is the heat of combustion of combustibles in a unit enclosed space; It is the convection heat generated by the convection between air and combustibles in a unit enclosed space.

9. The intelligent fire fighting system based on digital twin technology according to claim 1 is characterized in that: The fire simulation model generation module includes a fire alarm information processing unit and a fire simulation model generation unit; The fire alarm information processing unit is used to extract information from the fire alarm information to obtain key alarm information; The fire simulation model generation unit is used to add the alarm key information to the digital twin model to generate the fire simulation model.

10. The smart fire fighting system based on digital twin technology according to claim 9 is characterized in that: The fire alarm information processing unit includes a text analysis subunit, an urgency classification subunit and a key information generation subunit; The text analysis subunit is used to extract features from the fire alarm information based on a long short-term memory network model to obtain a summary of the alarm content; The urgency classification subunit is used to determine the emotional tendency in the fire alarm information based on a support vector machine, and to classify the degree based on the alarm content summary and the emotional tendency to determine the urgency category of the fire alarm information; The key information generating subunit is used to generate the alarm key information based on the alarm content summary and the urgency category.

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