Urban fire emergency linkage command system and method based on digital twinning

Abstract

The invention relates to the technical field of emergency linkage, and discloses an urban fire emergency linkage command system and method based on digital twinning, and the system comprises a multi-source heterogeneous data collection module which obtains the multi-source heterogeneous data of multiple departments in real time; the dynamic digital twinborn body construction module is used for generating a three-dimensional fire scene twinborn body with a unified space-time reference; the intelligent decision-making module is used for coupling a fire behavior diffusion prediction result of the fluid dynamic equation and a building risk prediction result of the finite element analysis model and generating a fire-fighting power dispatching instruction, a medical aid distribution instruction and a traffic control instruction; and the multi-department linkage execution module is used for sending a fire-fighting power dispatching instruction to the fire-fighting terminal, sending a medical aid distribution instruction to the medical terminal and sending a traffic control instruction to the traffic terminal so as to realize cross-department dynamic collaborative dispatching. According to the method, the emergency response speed and the decision accuracy are improved, efficient cooperation of urban fire emergency rescue is realized, and the rescue efficiency and the capability of coping with complex fire scenes are remarkably enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of emergency linkage, in particular to a city fire emergency linkage command system and method based on digital twinning. BACKGROUND

[0002] In the city fire emergency rescue scene, the traditional emergency linkage command system has obvious deficiencies. The existing system relies on scattered information of various departments, and it is difficult to achieve efficient integration and sharing. When the rescue forces cooperate, the information transmission is not timely and accurate, which limits the emergency response speed, and it is difficult to make quick and accurate response decisions for complex situations such as fire spread, which seriously affects the efficiency and effectiveness of fire emergency rescue.

[0003] Therefore, it is urgent to provide a technical solution to solve the above problems. SUMMARY

[0004] To solve the above technical problems, the present application provides a city fire emergency linkage command system and method based on digital twinning.

[0005] In the first aspect, the present application provides a city fire emergency linkage command system based on digital twinning, and the technical scheme of the system is as follows:

[0006] A multi-source heterogeneous data acquisition module is used to acquire multi-source heterogeneous data of fire, medical, traffic and meteorological departments in real time; wherein the multi-source heterogeneous data includes fire site environment parameters, trapped personnel position information, road traffic state data and meteorological dynamic indicators;

[0007] A dynamic digital twin construction module is used to align the building information model and the geographic coordinate system through spatial registration technology, and integrate the multi-source heterogeneous data through timestamp synchronization technology, and generate a three-dimensional fire scene twin based on an incremental update algorithm with a unified space-time reference; wherein the three-dimensional fire scene twin maps the fire spread vector and the stress distribution of the key structure of the building in real time;

[0008] An intelligent decision-making module is used to generate fire force scheduling instructions, medical aid allocation instructions and traffic control instructions based on the fire spread vector and the stress distribution of the key structure of the building, coupling the fire spread prediction results of the fluid dynamics equation and the building risk prediction results of the finite element analysis model;

[0009] A multi-department linkage execution module is used to synchronize the fire force scheduling instructions to the fire terminal, the medical aid allocation instructions to the medical terminal, and the traffic control instructions to the traffic terminal through the secure transmission protocol, to realize dynamic collaborative scheduling of cross-department rescue resources.

[0010] In a second aspect, the present application provides a city fire emergency linkage command method based on digital twinning, and the technical scheme of the method is as follows:

[0011] Real-time acquisition of multi-source heterogeneous data of fire, medical, traffic and meteorological departments; wherein the multi-source heterogeneous data includes fire site environment parameters, trapped personnel position information, road traffic state data and meteorological dynamic indicators;

[0012] Align the building information model and the geographic coordinate system through the spatial registration technology, and integrate the multi-source heterogeneous data through the timestamp synchronization technology, generate a unified time and space reference three-dimensional fire scene twin based on the incremental update algorithm; wherein the three-dimensional fire scene twin maps the fire spread vector and the stress distribution of the key structure of the building in real time;

[0013] Based on the fire spread vector and the stress distribution of the key structure of the building, the fire spread prediction result of the fluid dynamics equation and the building risk prediction result of the finite element analysis model are coupled to generate fire force scheduling instructions, medical rescue distribution instructions and traffic control instructions;

[0014] The fire force scheduling instructions are sent to the fire terminal, the medical rescue distribution instructions are sent to the medical terminal, and the traffic control instructions are sent to the traffic terminal through the secure transmission protocol to realize dynamic collaborative scheduling of cross-department rescue resources.

[0015] The technical scheme of the present application can effectively solve the problems of information dispersion and insufficient cooperation of the traditional emergency linkage command system, improve the emergency response speed and decision accuracy, realize efficient cooperation of city fire emergency rescue, and significantly enhance the rescue efficiency and the ability to cope with complex fire scenes.

[0016] The above description is only a summary of the technical scheme of the present application, in order to more clearly understand the technical means of the present application, the content of the specification can be implemented, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application are described below. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical scheme in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creating any creative labor.

[0018] The drawings are only used to show the embodiments, and are not considered as a limitation of the present application. Moreover, the same reference signs are used to represent the same parts throughout the drawings. In the drawings:

[0019] Figure 1 FIG. 1 shows a structural schematic diagram of an embodiment of a city fire emergency linkage command system based on digital twinning according to the present application;

[0020] Figure 2 FIG. 2 shows a flowchart of an embodiment of a city fire emergency linkage command method based on digital twinning according to the present application. DETAILED DESCRIPTION

[0021] Exemplary embodiments of the present application will be described in greater detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it is understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein.

[0022] Figure 1 FIG. 1 shows a structural schematic diagram of an embodiment of a city fire emergency linkage command system based on digital twinning according to the present application. As shown in FIG. 1, the system comprises: Figure 1

[0023] A multi-source heterogeneous data acquisition module 110 is configured to acquire multi-source heterogeneous data from fire, medical, traffic and meteorological departments in real time.

[0024] The multi-source heterogeneous data includes fire site environment parameters, trapped personnel location information, road traffic state data and meteorological dynamic indicators.

[0025] The multi-source heterogeneous data refers to real-time monitoring data sets with different data structures and transmission protocols collected from fire, medical, traffic and meteorological departments. For example, a heterogeneous set composed of binary temperature stream data collected by a fire temperature sensor and personnel positioning data in JSON format collected by a medical device. The fire site environment parameters refer to quantitative indicators representing the physical state of the fire site. For example, 850℃ high temperature data collected by a temperature sensor array and PM2.5 concentration value 500μg / m 3 The trapped personnel location information refers to real-time coordinates of trapped personnel obtained by vital sign monitoring equipment. For example, GPS positioning data of north latitude 39.9° and east longitude 116.4° returned by a medical bracelet. The road traffic state data refers to dynamic indicators reflecting road traffic capacity. For example, a congestion index 0.75 (value 0-1) of a certain road section calculated by fusing a roadside camera and a vehicle-mounted GPS. The meteorological dynamic indicators refer to real-time changing meteorological element measurement values. For example, 8m / s wind speed collected by a micro weather station and 65% air humidity inverted by satellite remote sensing.

[0026] ​The dynamic digital twin construction module 120 is used to align the building information model with the geographic coordinate system through spatial registration technology, integrate the multi-source heterogeneous data through timestamp synchronization technology, and generate a three-dimensional fire scene twin based on an incremental update algorithm.

[0027] The three-dimensional fire scene twin maps the fire spread vector and the stress distribution of the key structure of the building in real time.

[0028] The spatial registration technology refers to a method of aligning spatial data in different coordinate systems, such as aligning the local coordinate system of the building BIM model to the WGS-84 geographic coordinate system through an affine transformation matrix. The building information model refers to a digital model containing three-dimensional geometry and material properties of the building, such as the steel beam size and concrete grade data in the BIM model of a certain office building constructed by Revit. The geographic coordinate system refers to a spatial reference system based on the Earth ellipsoid, such as the longitude, latitude, and elevation three-dimensional reference defined by the CGCS2000 national geodetic coordinate system. The incremental update algorithm refers to a calculation method of only updating the changed data, such as updating only the affected area of the twin grid when the temperature gradient change exceeds 5℃ / m. The three-dimensional fire scene twin refers to a dynamic virtual fire scene generated by integrating multi-source data, such as a visual three-dimensional model containing the direction arrow of fire spread and the stress nephogram of the building. The fire spread vector refers to a physical quantity representing the direction and rate of fire spread, such as a vector arrow with a direction angle of 120° and a rate of 0.5m / s. The stress distribution of the key structure of the building refers to the mechanical state of the load-bearing member under fire, such as the Von Mises stress nephogram of a certain load-bearing column with a stress of 250MPa obtained by finite element analysis.

[0029] The intelligent decision-making module 130 is used to couple the fire spread prediction result of the fluid dynamics equation and the building risk prediction result of the finite element analysis model based on the fire spread vector and the stress distribution of the key structure of the building, and generate fire fighting force scheduling instructions, medical rescue allocation instructions, and traffic control instructions.

[0030] The fluid dynamics equation refers to a partial differential equation set describing the law of fluid motion, for example, the Navier-Stokes equation used for smoke diffusion simulation. The fire spread prediction result refers to the future fire field state calculated based on the physical model, for example, a thermal map predicting that the fire field boundary will expand to the east side of the building in 30 minutes. The finite element analysis model refers to a numerical model for mechanical discretization of the building structure, for example, a mesh system composed of 100,000 hexahedral elements decomposed from the building. The building risk prediction result refers to the quantitative evaluation of the structural failure probability, for example, a warning signal that the collapse probability of a certain floor is 82%. The fire force scheduling instruction refers to the action plan for commanding the fire resources, for example, the command data packet "dispatch 3 fire engines to the east side of area A". The medical rescue allocation instruction refers to the action plan for deploying medical resources, for example, the instruction code "assign 2 groups of rescue teams to the 2nd floor of building B". The traffic control instruction refers to the control strategy for optimizing traffic flow, for example, the signal control instruction set "close C intersection and open emergency lane".

[0031] The multi-department joint execution module 140 is configured to synchronize the fire force scheduling instruction to the fire terminal, the medical rescue allocation instruction to the medical terminal, and the traffic control instruction to the traffic terminal through a secure transmission protocol, so as to realize dynamic collaborative scheduling of cross-department rescue resources.

[0032] The secure transmission protocol refers to a communication rule for ensuring data security, for example, a transmission protocol for encrypting the instruction using the SM4 national encryption algorithm. The fire terminal refers to a hardware device for executing the instruction by the fire department, for example, an intelligent vehicle terminal mounted on a fire engine. The medical terminal refers to a hardware device for executing the instruction by the medical department, for example, an intelligent bracelet terminal worn by a rescue worker. The traffic terminal refers to a hardware device for executing the instruction by the traffic department, for example, an intelligent traffic signal control machine at an intersection.

[0033] The technical scheme of the embodiment can effectively solve the problems of information dispersion and insufficient collaboration in the traditional emergency linkage command system, improve the emergency response speed and decision accuracy, realize efficient collaboration of urban fire emergency rescue, and significantly enhance the rescue efficiency and the ability to cope with complex fire scenes.

[0034] In an optional manner, the multi-source heterogeneous data acquisition module 110 is specifically configured to:

[0035] The temperature sensor array and the smoke detector array deployed by the fire department are used to acquire the fire site environment parameters in real time.

[0036] The temperature sensor array refers to a group of distributed temperature monitoring devices, such as a monitoring network composed of 8 infrared temperature measuring instruments arranged around the fire site. The smoke detector array refers to a group of distributed smoke monitoring devices, such as a 20-sensor array of laser scattering PM2.5 installed in a building.

[0037] The vital sign monitoring device carried by the medical department rescue unit collects the location information of the trapped personnel in real time.

[0038] The vital sign monitoring device refers to a device for detecting physiological parameters of the human body, such as a medical bracelet with heart rate and positioning functions.

[0039] The traffic department road side camera and vehicle-mounted GPS terminal are fused to generate the road traffic state data.

[0040] The road side camera refers to a video acquisition device installed on the side of the road, such as a 200 megapixel high-definition monitoring camera at an intersection. The vehicle-mounted GPS terminal refers to a positioning device installed in a vehicle, such as a Beidou III positioning module built into a taxi.

[0041] The miniature weather station and satellite remote sensing set up by the meteorological department are used to generate the meteorological dynamic indicators.

[0042] The miniature weather station and satellite remote sensing refer to air-ground coordinated meteorological monitoring means, such as ground weather station measurement of wind speed + Fengyun-4 satellite inversion of temperature field data.

[0043] In the above optional manner, real-time acquisition of multi-source heterogeneous data is further realized, providing accurate basic data for subsequent fire scene restoration and decision-making, ensuring that information is obtained by each rescue department in a timely and accurate manner, and ensuring the effectiveness of emergency linkage command.

[0044] In an optional manner, the dynamic digital twin construction module 120 is specifically configured to:

[0045] The building information model is imported into the geographic coordinate system, and the spatial reference is aligned through a coordinate conversion matrix to obtain the building information model after alignment of the spatial reference.

[0046] The building information model after alignment of the spatial reference refers to a building model that has completed coordinate system conversion, such as a three-dimensional model after converting the BIM model from a local coordinate to a UTM projection coordinate.

[0047] A uniform timestamp is added to the fire site environmental parameters, the trapped personnel location information, the road traffic state data, and the meteorological dynamic indicators to obtain multi-source heterogeneous data with an added timestamp.

[0048] The multi-source heterogeneous data with an additional timestamp refers to original data with a uniform time mark, such as a temperature data mark "2025-08-01 14:30:00.000" timestamp.

[0049] The incremental update algorithm is adopted to fuse the building information model after the alignment of the space reference and the multi-source heterogeneous data with an additional timestamp, so as to generate the three-dimensional fire scene twin of the uniform space-time reference.

[0050] The fire spread vector is updated according to the real-time incoming fire site environment parameters, and the stress distribution of the building key structure is calculated according to the structure parameters of the building information model.

[0051] In the optional mode, the precise fusion of the building information model and the multi-source heterogeneous data is further implemented, the three-dimensional twin of the real-time mapping fire and the building stress is generated, accurate scene support is provided for intelligent decision-making, and the synergy and precision of fire emergency rescue are improved.

[0052] In an optional mode, the dynamic digital twin construction module 120 is specifically configured to:

[0053] The dynamic change parameter set is extracted according to the time sequence difference of the multi-source heterogeneous data with an additional timestamp.

[0054] The dynamic change parameter set includes a temperature gradient change amount, a personnel position offset amount and a wind speed mutation value. The temperature gradient change amount refers to the difference of temperature change per unit distance, such as the change amount of a temperature gradient in a certain area from 10℃ / m to 15℃ / m within 5 minutes. The personnel position offset amount refers to the displacement vector of the trapped personnel, such as the displacement amount of an injured person moving 3 meters in the southeast direction within 10 seconds. The wind speed mutation value refers to the short-time wind speed change amplitude, such as the difference of wind speed from 3m / s to 8m / s within 1 minute.

[0055] The dynamic change parameter set is input into a pre-constructed twin update engine, the temperature gradient change amount is mapped into a fire spread vector increment through a space interpolation algorithm, the personnel position offset amount is converted into a trapped area change mark through a path tracking algorithm, and the wind speed mutation value is solved into a smoke diffusion correction coefficient through a fluid disturbance model.

[0056] The pre-constructed twin body update engine refers to a software module that enables dynamic updating of the twin body. For example, an incremental rendering plug-in developed based on the Unity engine. The spatial interpolation algorithm refers to an algorithm for estimating spatial distribution based on discrete point data. For example, the Kriging interpolation method generates a fire spread trend surface. The fire spread vector increment refers to the change in the fire spread vector. For example, a vector change of an increase of 5° in direction angle and an increase of 0.1 m / s in speed. The path tracking algorithm refers to a method for calculating the moving track of personnel. For example, the Dijkstra algorithm plans the optimal escape path. The trapped area change marker refers to a spatial label that identifies the change in the position of personnel. For example, mark "D area adds 3 trapped persons" in the three-dimensional model. The fluid disturbance model refers to a mathematical model that simulates the impact of air flow turbulence. For example, the Reynolds-averaged Navier-Stokes (RANS) turbulence model. The smoke diffusion correction coefficient refers to a parameter that quantifies the impact of wind speed on smoke. For example, a correction coefficient of 1.15 corresponding to a wind speed sudden change value of 8 m / s.

[0057] The spatial grid associated with the fire spread vector increment, the trapped area change marker, and the smoke diffusion correction coefficient in the aligned spatial reference building information model is locally rendered and updated.

[0058] Specifically: ①Correlation space grid identification: determine the first update area grid according to the spatial range of action of the fire spread vector increment, the range of action of the fire spread vector increment is calculated by its direction angle and rate value, specifically a sector area with the fire source point as the center and the product of the spread rate and the time step as the radius. Determine the second update area grid according to the geographic coordinates of the trapped area change mark, the personnel position offset associated with the trapped area change mark is converted into a circular influence area with a radius of 5 meters. Determine the third update area grid according to the fluid disturbance intensity of the smoke diffusion correction coefficient, when the smoke diffusion correction coefficient is greater than 1.0, it is associated with a 30-degree downwind diffusion cone area. ②Grid attribute dynamic recalculation: recalculate the heat flux value of the temperature field distribution data in the first update area grid, the heat flux value is updated by the temperature gradient change of the fire spread vector increment using the Stefan-Boltzmann law. Recalculate the path accessibility coefficient of the personnel density distribution data in the second update area grid, the path accessibility coefficient updates the escape path topology relationship by the personnel position offset of the trapped area change mark. Recalculate the visibility attenuation rate of the smoke concentration data in the third update area grid, the visibility attenuation rate is updated by the product of the smoke diffusion correction coefficient and the air humidity parameter. ③Physical field visualization rendering: perform heat map texture remapping on the first update area grid, map the updated heat flux value to a red-orange gradient texture, and increase the red saturation by 20% for every 5℃ / m increase in temperature gradient. Perform three-dimensional mark regeneration on the second update area grid, generate a flashing warning sign at the trapped location according to the updated path accessibility coefficient, and the sign turns red when the accessibility coefficient is less than 0.3. Perform semi-transparent particle effect rendering on the third update area grid, convert the updated visibility attenuation rate to a gray particle concentration, and increase the particle density to 5000 particles per cubic meter when the visibility is less than 10 meters. ④Grid data real-time output: package the recalculated grid vertex coordinates, texture coordinates, and physical property parameters into an incremental data packet, and stream it to the twin body display engine through the graphics processor, the incremental data packet only contains the binary stream data of the changed grid.

[0059] The locally rendered updated space grid is real-time spliced with the unchanged static building structure model to generate the three-dimensional fire scene twin of the unified space-time reference.

[0060] Among them, the locally rendered updated space grid refers to the three-dimensional grid regenerated only for the changed area; for example, the updated triangular grid within a 10m x 10m range around the fire source point.

[0061] In the optional manner, further through extraction and processing of the dynamic change parameter, local rendering update and real-time splicing of the three-dimensional fire scene twin body are realized, so that the twin body can dynamically reflect changes of the fire scene and the timeliness of the decision basis is improved.

[0062] In an optional manner, the dynamic digital twin construction module 120 is specifically configured to:

[0063] Based on the temperature gradient change amount and the smoke diffusion correction coefficient, and in combination with a dynamic fire spread model, a fire spread vector increment is calculated.

[0064] The fire spread vector increment is superimposed on a fire spread vector at a previous moment to generate an updated fire spread vector.

[0065] The expression of the dynamic fire spread model is: The fire spread vector increment is represented, and the unit is m / s; Δt represents a time step, and the unit is s; The temperature gradient change amount is represented, and the unit is ℃ / m; δW represents a wind speed mutation value, and the unit is m / s; α is a dynamic attenuation factor, which is calibrated through a building material combustion experiment (for example, 0.85 for wood and 0.75 for plastic); β build is a building layout influence coefficient, which is calculated according to a geometric topological relationship of the building information model (dense area > 1.0); γ wind is a weight factor of the smoke diffusion correction coefficient, and the value is 0.8-1.2.

[0066] It should be noted that the dynamic fire spread model quantifies the constraint effect of the building layout on the fire spread and the enhancement effect of the wind speed mutation to construct a physical expression of the fire spread vector increment. The temperature gradient change amount reflects the energy transfer efficiency of the fire site, the building layout influence coefficient β build quantifies the geometric topological relationship of the building as a space resistance factor, the weight factor γ wind of the wind speed mutation value δW and the smoke diffusion correction coefficient together represent the meteorological disturbance intensity, and the dynamic attenuation factor α calibrates the heat release attenuation characteristics of the building material. The model breaks through the limitations of traditional empirical formulas, and greatly improves the prediction accuracy of the fire spread.

[0067] In the optional manner, further based on the dynamic fire spread model, the fire spread vector increment is calculated, the fire development is accurately simulated, a scientific basis is provided for fire force scheduling, and the pertinence and effectiveness of fire rescue are enhanced.

[0068] In an optional manner, the structural parameters include: load-bearing structure material properties and geometric topological relations; and the dynamic digital twin construction module 120 is specifically used for:

[0069] Based on the load-bearing structure material properties and geometric topological relations of the building information model, and in combination with the temperature field distribution data in the fire spread vector, the stress distribution of the building key structure is calculated through thermal coupling finite element analysis.

[0070] The load-bearing structure material properties refer to physical characteristic parameters of building components, such as concrete compressive strength of 30 MPa and steel elastic modulus of 200 GPa. The geometric topological relations refer to spatial connection relations of building components, such as hinge constraint conditions of beam-column joints. The temperature field distribution data refer to a set of spatial temperature values, such as a building temperature contour data set at each floor at a certain time.

[0071] The formula for calculating the stress distribution of the building key structure through thermal coupling finite element analysis is: σ struct , which represents the stress distribution of the building key structure, with the unit of MPa; [K] is a structure stiffness matrix, which is constructed according to the load-bearing structure material properties and geometric topological relations; is a static load vector, which is calculated through self-weight distribution of the building information model; ΔT is the temperature field distribution data, which is extracted from the fire spread vector; is a thermal expansion coefficient vector, which is obtained by matching a building material property library (for example, steel 1.2e -5 ); κ is a temperature-stress coupling factor, κ = 1-e -λ·τ ; λ represents a material high-temperature creep coefficient, which is determined by the load-bearing structure material properties; τ is a high-temperature duration, which is calculated by time integration of the temperature field distribution data.

[0072] It should be noted that the formula for calculating the stress distribution of the building key structure integrates the material high-temperature creep effect and the thermal load dynamic coupling mechanism, and quantifies the structural performance degradation law under continuous high temperature through the temperature-stress coupling factor κ = 1-e -λτ . The material high-temperature creep coefficient λ is related to the time-varying mechanical properties of steel / concrete, the high-temperature duration τ is obtained by integrating the temperature field data, and the thermal expansion coefficient vector matches the physical parameters of the material library. In combination with the static load and the real-time temperature field distribution, the minute-level accurate early warning of building collapse risk is realized.

[0073] In the above optional manner, the stress distribution of the building key structure is further calculated through thermal coupling finite element analysis, the building collapse risk is accurately predicted, key building safety information is provided for medical rescue and traffic control decision-making, and the safety of rescue personnel is ensured.

[0074] In an optional manner, the intelligent decision module 130 is specifically configured to:

[0075] input the fire spread vector into the fluid dynamics equation to calculate the fire spread prediction result, divide high-risk area levels according to the thermal radiation intensity field and spread front speed in the fire spread prediction result, and generate the fire fighting force scheduling instruction for different high-risk area levels.

[0076] The thermal radiation intensity field refers to the spatial distribution of fire field thermal radiation energy, for example, a distribution diagram of a radiation intensity of 4 kW / m2 at a distance of 5 m from the fire source. The spread front speed refers to the advancing rate of the front end of the fire spread, for example, a linear spread speed of 0.8 m / s at the edge of the fire field. The high-risk area level refers to a region category divided according to the fire risk degree, for example, a region with a thermal radiation intensity greater than 5 kW / m2 is classified as a first-level high-risk area.

[0077] input the building key structure stress distribution into the finite element analysis model to calculate the building risk prediction result, mark a collapse risk area in the building risk prediction result according to a structure instability probability threshold, and generate the medical rescue distribution instruction for avoiding the collapse risk area in combination with the trapped personnel position information.

[0078] The structure instability probability threshold refers to a critical value triggering a collapse warning, for example, a red warning is issued when the stress overrun probability is greater than 70%. The collapse risk area refers to a spatial range in which the building is likely to collapse, for example, a range of 5 m around a certain load-bearing wall is marked as a dangerous area.

[0079] couple the smoke diffusion path in the fire spread prediction result and the structure deformation gradient in the building risk prediction result, iteratively correct the path planning of the fire fighting force scheduling instruction and the medical rescue distribution instruction, and generate the traffic control instruction for dynamically guaranteeing a rescue channel.

[0080] The smoke diffusion path refers to the direction trajectory of the toxic smoke flow, for example, a predicted path line of the smoke diffusing to the third floor along the ventilation duct. The structure deformation gradient refers to the deformation amount of the building component per unit length, for example, a gradient value of 2 mm bending per meter length of the steel beam.

[0081] In the above optional manner, the comprehensive analysis of the fire spread and the building risk is further implemented, precise fire fighting, medical and traffic instructions are generated, the rescue path planning is optimized, the cross-departmental collaborative rescue efficiency is improved, and the orderly development of the rescue operation is guaranteed.

[0082] In an optional manner, the multi-departmental joint execution module 140 is specifically configured to:

[0083] The fire force scheduling instruction, the medical rescue allocation instruction and the traffic control instruction are encrypted by using a transmission channel based on a national secret algorithm;

[0084] The encrypted fire force scheduling instruction is sent to the fire terminal and attached with a first priority timestamp, the encrypted medical rescue allocation instruction is sent to the medical terminal and attached with a second priority timestamp, and the encrypted traffic control instruction is sent to the traffic terminal and attached with a third priority timestamp;

[0085] According to the time sequence logic of the first priority timestamp, the second priority timestamp and the third priority timestamp, the terminal is triggered to perform an action, so as to realize dynamic collaborative scheduling of cross-department rescue resources.

[0086] The first priority timestamp refers to the timeliness identifier of the fire instruction, for example, the mark "14:30:00.001" represents the highest priority execution. The second priority timestamp refers to the timeliness identifier of the medical instruction, for example, the mark "14:30:00.002" represents the secondary priority execution. The third priority timestamp refers to the timeliness identifier of the traffic instruction, for example, the mark "14:30:00.003" represents the third priority execution.

[0087] In the above optional mode, the instruction is further encrypted and transmitted and triggered synchronously, the safety of the instruction transmission and the synchronization of the execution are guaranteed, the efficiency and reliability of the multi-department collaborative scheduling are ensured, and the overall efficiency of the emergency rescue is improved.

[0088] In an optional mode, the multi-department linkage execution module 140 is further configured to:

[0089] The execution state feedback of the fire terminal, the medical terminal and the traffic terminal is received in real time, and the instruction transmission frequency is dynamically corrected to optimize the dynamic collaborative scheduling of cross-department rescue resources.

[0090] The execution state feedback refers to the real-time feedback of the terminal executing the instruction, for example, the fire truck returns the confirmation signal "has arrived at A area".

[0091] In the above optional mode, the execution state is further fed back in real time, and the instruction transmission frequency is dynamically corrected, so that the optimization adjustment of the rescue resource scheduling is realized, the flexibility and accuracy of the cross-department collaborative scheduling are improved, and the adaptability of the emergency rescue is enhanced.

[0092] Figure 2 A flowchart of an embodiment of a city fire emergency linkage command method based on digital twinning provided by the application is shown. As shown in Figure 2 The method comprises the following steps:

[0093] S1, real-time acquisition of multi-source heterogeneous data of fire, medical, traffic and meteorological departments; wherein the multi-source heterogeneous data includes fire site environment parameters, trapped personnel position information, road traffic state data and meteorological dynamic indicators;

[0094] S2, aligning the building information model and the geographic coordinate system through the spatial registration technology, integrating the multi-source heterogeneous data through the time stamp synchronization technology, and generating a three-dimensional fire scene twin based on the incremental update algorithm; wherein the three-dimensional fire scene twin maps the fire spread vector and the stress distribution of the key structure of the building in real time;

[0095] S3, based on the fire spread vector and the stress distribution of the key structure of the building, coupling the fire spread prediction result of the fluid dynamics equation and the building risk prediction result of the finite element analysis model to generate fire fighting force scheduling instructions, medical rescue distribution instructions and traffic control instructions;

[0096] S4, synchronously sending the fire fighting force scheduling instructions to the fire terminal, the medical rescue distribution instructions to the medical terminal, and the traffic control instructions to the traffic terminal through the secure transmission protocol, to realize the dynamic collaborative scheduling of cross-department rescue resources.

[0097] The technical scheme of the embodiment can effectively solve the problems of information dispersion and insufficient collaboration of the traditional emergency linkage command system, improve the emergency response speed and decision accuracy, realize efficient collaboration of urban fire emergency rescue, and significantly enhance the rescue efficiency and the ability to cope with complex fire scenes.

[0098] In addition, the system provided by the above embodiment is only exemplified by the division of the above-mentioned functional modules when realizing its functions, and in actual application, the above-mentioned functions can be completed by different functional modules according to needs, that is, the system is divided into different functional modules according to actual conditions to complete all or part of the above-described functions. In addition, the system and method embodiments provided by the above embodiments belong to the same concept, and the specific implementation process is described in the method embodiment, which will not be repeated here.

[0099] The above description is only the preferred embodiment of the present application and the explanation of the applied technical principles. Those skilled in the art should understand that the disclosed range in the present application is not limited to the technical solutions formed by the specific combination of the above technical features, and also covers other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the disclosed concept. For example, the above features are replaced with the technical features disclosed in the present application (but not limited to) having similar functions to form a technical solution.

[0100] It should be noted that the terms "first", "second", and the like in the description and claims of this application are used for distinguishing between similar objects and are not necessarily used to describe a particular sequential or chronological order. The use of the terms "first", "second", and the like in the description and claims of this application is to distinguish the similar objects and is not necessarily used to describe a particular sequential or chronological order, unless otherwise specified. The use of the terms "first", "second", and the like in the description and claims of this application is to distinguish the similar objects and is not necessarily used to describe a particular sequential or chronological order, unless otherwise specified.

[0101] Although the embodiments of the present application have been shown and described above, it should be understood by those ordinary skilled in the art that the above-mentioned embodiments are exemplary and cannot be understood as limiting the present application, and those ordinary skilled in the art can make changes, modifications, replacements and variations to the above-mentioned embodiments within the scope of the present application.

Claims

1. A city fire emergency linkage command system based on digital twinning, characterized in that, The system comprises: A multi-source heterogeneous data acquisition module for acquiring multi-source heterogeneous data of fire, medical, traffic and meteorological departments in real time; wherein the multi-source heterogeneous data comprises fire site environment parameters, trapped personnel position information, road traffic state data and meteorological dynamic indicators; A dynamic digital twin construction module for aligning a building information model with a geographic coordinate system through a spatial registration technology, and integrating the multi-source heterogeneous data through a time stamp synchronization technology, and generating a three-dimensional fire scene twin based on an incremental update algorithm with a unified space-time reference; wherein the three-dimensional fire scene twin maps the fire spread vector and the building key structure stress distribution in real time; An intelligent decision-making module for generating fire force scheduling instructions, medical rescue allocation instructions and traffic control instructions based on the fire spread vector and the building key structure stress distribution, coupling the fire spread prediction results of the fluid dynamics equation and the building risk prediction results of the finite element analysis model; A multi-department linkage execution module for synchronously sending the fire force scheduling instructions to a fire terminal, the medical rescue allocation instructions to a medical terminal, and the traffic control instructions to a traffic terminal through a secure transmission protocol, to realize dynamic collaborative scheduling of cross-department rescue resources.

2. The city fire emergency linkage command system based on digital twinning according to claim 1, characterized in that, The multi-source heterogeneous data acquisition module is specifically used for: Real-time acquisition of the fire site environment parameters through a temperature sensor array and a smoke detector array deployed by the fire department; Real-time collection of the trapped personnel position information through a vital sign monitoring device carried by a medical department rescue unit; Fusion generation of the road traffic state data through a roadside camera and a vehicle-mounted GPS terminal of the traffic department; Inversion generation of the meteorological dynamic indicators through a micro weather station and satellite remote sensing of the meteorological department.

3. The city fire emergency linkage command system based on digital twinning according to claim 1, characterized in that, The dynamic digital twin construction module is specifically used for: Importing the building information model into the geographic coordinate system, and aligning the spatial reference through a coordinate conversion matrix to obtain the building information model after the spatial reference alignment; Attaching a unified time stamp to the fire site environment parameters, the trapped personnel position information, the road traffic state data and the meteorological dynamic indicators to obtain the multi-source heterogeneous data with the attached time stamp; Fusion of the building information model after the spatial reference alignment and the multi-source heterogeneous data with the attached time stamp through an incremental update algorithm to generate the three-dimensional fire scene twin with a unified space-time reference; Updating the fire spread vector according to the real-time incoming fire site environment parameters, and calculating the building key structure stress distribution according to the structure parameters of the building information model.

4. The city fire emergency linkage command system based on digital twinning of claim 3, characterized in that, The dynamic digital twin construction module is specifically used for: Extracting a dynamic change parameter set according to the time sequence difference of the multi-source heterogeneous data with the attached time stamp; wherein the dynamic change parameter set comprises a temperature gradient change amount, a personnel position offset amount and a wind speed mutation value; input the dynamic change parameter set into a pre-constructed twin body update engine, map the temperature gradient change amount to a fire spread vector increment through a spatial interpolation algorithm, convert the personnel position offset amount to a trapped area change mark through a path tracking algorithm, and calculate the wind speed mutation value to a smoke diffusion correction coefficient through a fluid disturbance model; perform local rendering update on the spatial grid in the building information model after alignment with the space reference, which is associated with the fire spread vector increment, the trapped area change mark, and the smoke diffusion correction coefficient; splice the spatial grid after local rendering update with the static building structure model that has not changed in real time to generate the three-dimensional fire scene twin body with a unified space-time reference.

5. The city fire emergency linkage command system based on digital twinning according to claim 4, characterized in that, The dynamic digital twin construction module is specifically configured to: calculate a fire spread vector increment based on the temperature gradient change amount and the smoke diffusion correction coefficient, and in combination with a dynamic fire spread model; superimpose the fire spread vector increment on the fire spread vector at the previous moment to generate an updated fire spread vector; wherein, the expression of the dynamic fire spread model is: represents the fire spread vector increment, with a unit of m / s; and Δt represents a time step, with a unit of s; represents a temperature gradient change, with a unit of ℃ / m; δW represents a wind speed mutation value, with a unit of m / s; and α is a dynamic attenuation factor, calibrated through a building material combustion experiment; β build is a building layout influence coefficient, calculated according to a geometric topological relationship of the building information model; and γ wind is a weight factor of a smoke diffusion correction coefficient, with a value of 0.8-1.

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6. The city fire emergency linkage command system based on digital twinning according to claim 5, characterized in that, The structure parameters include: load-bearing structure material properties and geometric topological relations. The dynamic digital twin construction module is specifically configured to: calculate the building key structure stress distribution through thermal coupling finite element analysis based on the load-bearing structure material properties and geometric topological relations of the building information model, and in combination with the temperature field distribution data in the fire spread vector; Wherein, the formula for calculating the stress distribution of the building key structure by thermal coupling finite element analysis is: σ struct represents the stress distribution of the building key structure, with units of MPa; [K] is the structural stiffness matrix, constructed according to the material properties and geometric topological relationship of the load-bearing structure; is a static load vector, calculated by the self-weight distribution of the building information model; ΔT is the temperature field distribution data, extracted from the fire spread vector; is a thermal expansion coefficient vector, obtained by matching the building material property library; κ is a temperature-stress coupling factor, κ = 1-e -λ·τ ; λ represents the high-temperature creep coefficient of the material, determined by the material properties of the load-bearing structure; τ is the high-temperature duration, calculated by time integration of the temperature field distribution data.

7. The city fire emergency linkage command system based on digital twinning according to claim 6, characterized in that, The intelligent decision-making module is specifically configured to: input the fire spread vector into the fluid dynamics equation to calculate the fire spread prediction result, divide the high-risk area level according to the thermal radiation intensity field and the spread front speed in the fire spread prediction result, and generate the fire fighting force scheduling instruction for different high-risk area levels; input the building key structure stress distribution into the finite element analysis model to calculate the building risk prediction result, mark the collapse risk area in the building risk prediction result according to the structure instability probability threshold, and generate the medical rescue allocation instruction that avoids the collapse risk area in combination with the trapped personnel position information; couple the smoke diffusion path in the fire spread prediction result with the structure deformation gradient in the building risk prediction result, and iteratively correct the path planning of the fire fighting force scheduling instruction and the medical rescue allocation instruction to generate the traffic control instruction of the dynamic guarantee rescue channel.

8. The city fire emergency linkage command system based on digital twinning according to claim 7, characterized in that, The multi-department linkage execution module is specifically configured to: encrypt the fire fighting force scheduling instruction, the medical rescue allocation instruction, and the traffic control instruction using a transmission channel based on a national encryption algorithm; send the encrypted fire fighting force scheduling instruction to the fire terminal and attach a first priority timestamp, send the encrypted medical rescue allocation instruction to the medical terminal and attach a second priority timestamp, and send the encrypted traffic control instruction to the traffic terminal and attach a third priority timestamp; synchronously trigger terminal actions according to the time sequence logic of the first priority timestamp, the second priority timestamp, and the third priority timestamp to realize dynamic collaborative scheduling of cross-department rescue resources.

9. The city fire emergency linkage command system based on digital twinning according to claim 8, characterized in that, The multi-department linkage execution module is also configured to: Real-time receiving the execution state feedback of the fire terminal, the medical terminal and the traffic terminal, dynamically correcting the instruction transmission frequency to optimize the dynamic collaborative scheduling of cross-department rescue resources.

10. A city fire emergency linkage command method based on digital twinning, characterized in that, The method comprises: Real-time acquisition of multi-source heterogeneous data of fire, medical, traffic and meteorological departments; wherein the multi-source heterogeneous data includes fire site environment parameters, trapped personnel location information, road traffic state data and meteorological dynamic indicators; Align the building information model with the geographic coordinate system through spatial registration technology, and integrate the multi-source heterogeneous data through timestamp synchronization technology, generate a unified spatio-temporal reference three-dimensional fire scene twin based on incremental update algorithm; wherein the three-dimensional fire scene twin maps the fire spread vector and the stress distribution of the key structure of the building in real time; Based on the fire spread vector and the stress distribution of the key structure of the building, the fire spread prediction result of the fluid dynamics equation and the building risk prediction result of the finite element analysis model are coupled to generate fire force scheduling instructions, medical rescue allocation instructions and traffic control instructions; Through the secure transmission protocol, the fire force scheduling instructions are sent to the fire terminal, the medical rescue allocation instructions are sent to the medical terminal, and the traffic control instructions are sent to the traffic terminal, so as to realize the dynamic collaborative scheduling of cross-department rescue resources.

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