Intelligent fire-fighting implementation method based on digital twinning and related device

Abstract

Embodiments of the present application provide a smart fire fighting implementation method and system based on digital twinning, a computer readable storage medium and an electronic device. Based on the implementation method, the environmental state parameters around the building are simulated through the corresponding digital twinning model, and the simulation effect diagram is displayed. At the same time, the fire fighting prompt information is generated by combining the real-time environmental state parameters and the fire fighting resources within the preset range. According to the fire fighting prompt information, the corresponding fire grade and fire fighting strategy are displayed, and the fire fighting rehearsal is performed according to the fire fighting strategy. The simulation effect diagram of the fire fighting rehearsal is displayed to realize the visual display of the corresponding building fire fighting comprehensive information on the same screen, thereby guiding and assisting relevant personnel to quickly make corresponding fire fighting decisions, and further improving the fire fighting command efficiency.

Description

Technical Field

[0001] This application relates to the technical field of building fire safety, and more specifically, to a method, system, computer-readable storage medium, and electronic device for implementing smart fire protection based on digital twins. Background Technology

[0002] To meet people's social needs, all kinds of buildings are constantly emerging. At the same time, due to the frequent fire accidents in buildings, people have to pay attention to the fire safety of buildings.

[0003] In related technologies, to reduce the occurrence of building fire accidents, corresponding monitoring and alarm facilities and backup fire-fighting resources are usually installed inside and outside the building. When a fire accident occurs, the fire command center can dispatch a certain number of firefighters with fire-fighting equipment to the corresponding building location based on the received alarm information, and coordinate with the backup fire-fighting resources to carry out fire-fighting work. However, before actual dispatch, the fire command center needs to determine the environmental conditions at the scene, and then make corresponding dispatches based on the environmental conditions reported at the scene, which affects the efficiency of fire command. Summary of the Invention

[0004] The purpose of this disclosure is to provide a method, system, computer-readable storage medium, and electronic device for realizing smart fire protection based on digital twins, which can directly display the simulation effect diagram of the corresponding environmental state of the building and the fire prompt information generated based on fire resources on the same screen, thereby improving the convenience of fire command and thus improving the efficiency of fire command.

[0005] Other features and advantages of this disclosure will become apparent from the following detailed description, or may be learned in part from practice of this disclosure.

[0006] According to one aspect of the embodiments of this application, a smart fire protection implementation method based on digital twin is provided. The method includes: collecting real-time environmental state parameters of a building; inputting the environmental state parameters into a digital twin model corresponding to the building; simulating the state simulation graphics on the digital twin model according to the mapping relationship between the environmental state parameters and a preset state simulation graphics to obtain a simulation effect diagram of the environmental state corresponding to the building; generating corresponding fire warning information based on fire protection resources within a preset range of the building; and displaying the simulation effect diagram of the environmental state corresponding to the building and the fire warning information.

[0007] In some embodiments, the fire alarm information includes a fire prevention strategy; generating corresponding fire alarm information based on fire resources within a preset range of the building includes: dividing multiple fire alarm occurrence probability intervals based on a preset normal distribution model; mapping historical monitoring data of different environmental state parameters to the normal distribution model to obtain the occurrence probability of a fire alarm corresponding to each environmental state parameter, and using the proportion of the occurrence probability interval as the score of the corresponding environmental state parameter; accumulating the scores of all environmental state parameters to obtain a cumulative score, and determining the fire level corresponding to the cumulative score; and outputting a preset fire prevention strategy corresponding to the fire level based on the fire level.

[0008] In some embodiments, the output of a preset fire-fighting strategy corresponding to the fire level includes: obtaining the combustion area of ​​the building based on the environmental state parameters, and estimating the water consumption required for fire fighting based on the combustion area; and estimating the occupancy ratio of different fire-fighting equipment and the corresponding occupancy ratio of fire-fighting personnel based on the preset cooperative operation principles of different fire-fighting equipment and the water consumption.

[0009] In some embodiments, the output of a preset fire-fighting strategy corresponding to the fire level further includes: obtaining water source information within a preset range of the building; estimating the supply and demand time of the fire-fighting process based on the water source information and the water filling speed of the corresponding water supply equipment; and planning the shortest water supply path for different fire-fighting equipment based on the supply and demand time.

[0010] In some embodiments, the output of a preset fire-fighting strategy corresponding to the fire level further includes: estimating the fire spread rate based on the internal space size and number of ventilation openings of the building; updating the spread rate based on the amount of combustible materials in the building; and updating the fire-fighting strategy based on the updated spread rate.

[0011] In some embodiments, the method further includes: performing a fire simulation in the digital twin model according to the fire protection strategy to obtain environmental simulation parameters corresponding to the building; and updating the simulation effect diagram of the environmental state corresponding to the building based on the state simulation diagram corresponding to the environmental simulation parameters.

[0012] In some embodiments, the fire alarm information includes environmental change trends; generating corresponding fire alarm information based on fire resources within a preset range of the building includes: obtaining a continuous state diagram of different environmental state parameters based on historical monitoring data of the environmental state parameters; and determining the environmental change trends corresponding to the different environmental state parameters based on the continuous state diagrams of the different environmental state parameters.

[0013] According to one aspect of the embodiments of this application, a smart fire protection system based on digital twins is provided, comprising: a data acquisition unit configured to acquire real-time environmental state parameters of a building; a data input unit configured to input the environmental state parameters into a digital twin model corresponding to the building; a simulation unit configured to simulate the state simulation graphics on the digital twin model according to the mapping relationship between the environmental state parameters and preset state simulation graphics, thereby obtaining a simulation effect diagram of the environmental state corresponding to the building; a prompt generation unit configured to generate corresponding fire prompt information based on fire protection resources within a preset range of the building; and an operational display unit configured to display the simulation effect diagram of the environmental state corresponding to the building and the fire protection strategy.

[0014] According to one aspect of the embodiments of this application, a computer-readable storage medium is provided, on which computer-readable instructions are stored, which, when executed by a computer's processor, cause the computer to perform the intelligent fire protection implementation method based on digital twins as described in the above embodiments.

[0015] According to one aspect of the embodiments of this application, an electronic device is provided, including: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device enables the smart fire protection implementation method based on digital twins as described in the above embodiments.

[0016] In the technical solution of this application embodiment, based on the environmental state parameters collected in real time for the corresponding building, the environmental state corresponding to the building is simulated through a digital twin model, and a corresponding simulation effect diagram is generated. At the same time, corresponding fire warning information is generated according to the fire resources within the preset range of the building, and the simulation effect diagram and fire warning information are visualized, thereby facilitating the analysis of real-time fire situation by relevant personnel, and guiding and assisting relevant personnel to make corresponding fire decisions quickly based on the fire warning information, thereby improving the efficiency of fire command.

[0017] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this application. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0019] Figure 1 This is a flowchart illustrating an exemplary embodiment of the present application of a smart fire protection implementation method based on digital twins.

[0020] Figure 2 yes Figure 1 The flowchart of step S130 in the illustrated embodiment is shown in an example embodiment.

[0021] Figure 3 This is a diagram illustrating a normal distribution model, as shown in an exemplary embodiment of this application.

[0022] Figure 4 This is a schematic diagram illustrating the mapping relationship between fire severity and cumulative score, as an exemplary embodiment of this application.

[0023] Figure 5 yes Figure 2 The flowchart of step S230 in the illustrated embodiment is shown in an example embodiment.

[0024] Figure 6 yes Figure 2 The flowchart of step S230 in the illustrated embodiment is shown in another example embodiment.

[0025] Figure 7 yes Figure 2 The flowchart of step S230 in the illustrated embodiment is shown in yet another example embodiment.

[0026] Figure 8 yes Figure 1 The flowchart of step S130 in the illustrated embodiment is shown in another example embodiment.

[0027] Figure 9 This is a block diagram illustrating a digital twin-based smart fire protection system, as shown in an exemplary embodiment of this application.

[0028] Figure 10 This is a schematic diagram of the structure of an electronic device shown in an exemplary embodiment of this application. Detailed Implementation

[0029] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

[0030] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0031] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0032] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0033] It should be noted that "multiple" in this article refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0034] It should be noted that digital twins fully utilize data such as physical models, sensor updates, and operational history to integrate simulation processes involving multiple disciplines, physical quantities, scales, and probabilities, completing the mapping in virtual space to reflect the entire lifecycle of the corresponding entity.

[0035] Specifically, in this embodiment of the application, the digital twin model of the building can be modeled based on the modeling tool ModelBuilder to create a specific three-dimensional model of the building, and the data of the established three-dimensional model can be managed through the digital space management system ModelCPS, and the visualization application terminal corresponding to the three-dimensional model can be developed through the application development tool ModelSDK. Of course, the corresponding modeling tool, model management system and application development tool can also be implemented through other platforms. This is only an example and no specific limitation is made.

[0036] The technical solution of this application proposes a smart fire protection implementation method based on digital twins, specifically referring to... Figure 1As shown. The method includes at least steps S100 to S140, which are described in detail below:

[0037] In step S100, real-time environmental status parameters of the building are collected.

[0038] Specifically, the corresponding buildings can be physical buildings such as office buildings, shopping malls, and stadiums. The real-time environmental status parameters of the buildings are collected based on the images collected by monitoring equipment, as well as temperature, smoke concentration, wind speed, etc. collected by various sensors.

[0039] Based on the environmental status parameters collected in step S100, in step S110, the environmental status parameters are further input into the digital twin model corresponding to the building.

[0040] Specifically, based on a pre-defined model management system, specific environmental state parameters are mapped into the digital twin model corresponding to the building. For example, in the event of a fire, temperature parameters at various locations within the building are input into the corresponding locations in the digital twin model. Another example is using thermal imaging monitoring equipment to input biological information within a designated area into the corresponding locations in the digital twin model. Yet another example is using wind speed acquisition devices to input wind direction and speed parameters at a designated location into the corresponding locations in the digital twin model. Of course, in addition to inputting the environmental state parameters mentioned above into the corresponding digital twin model, other environmental state parameters can also be included.

[0041] Furthermore, in step S120, based on the mapping relationship between environmental state parameters and preset state simulation graphics, the state simulation graphics are simulated on a digital twin model to obtain a simulation effect diagram of the environmental state corresponding to the building.

[0042] Based on specific examples in step S110, for instance: when the environmental state parameter is the temperature at the corresponding location, the specific temperature value is mapped using graphics of varying color depths. Locations with relatively higher temperatures are depicted with darker colors, and locations with relatively lower temperatures are depicted with lighter colors, simulating the temperature state at various locations within the building in a diffusion pattern from high to low. For example, if the temperature near the combustion point is relatively high, the simulation color is lighter as the distance extends outward from the combustion point. Another example: using biological information acquired through thermal imaging monitoring equipment, specific organisms are identified, matched with preset biological graphics, and the biological graphics are simulated and displayed at the corresponding locations on the building. These graphics can be static or dynamic. Yet another example: based on preset wind direction parameters (such as directional arrows) and preset wind speed parameters (such as increasing or decreasing the number of arrows according to wind speed), the collected wind direction and speed parameters are simulated and displayed at the corresponding locations on the building.

[0043] While obtaining the simulation effect diagram of the building's corresponding environmental state, in step S130, corresponding fire prompt information is generated based on the fire protection resources within the preset range of the building.

[0044] The fire safety information includes fire safety strategies and generates corresponding fire safety information based on the fire safety resources within the building's pre-defined area, such as... Figure 2 As shown, it includes at least steps S200 to S230, which are described in detail below:

[0045] In step S200, multiple probability intervals for the occurrence of fire alarms are divided based on a preset normal distribution model.

[0046] like Figure 3 As shown, Figure 3 This is a diagram illustrating a normal distribution model, as shown in an exemplary embodiment of this application. It should be noted that a fire is a low-probability event; therefore, in the normal distribution model of this application, Figure 3 The larger the percentage of a given interval, the lower the probability of a fire occurring in that environmental condition. Furthermore, the normal distribution model can be generated based on a large number of samples or an ideal mathematical model.

[0047] At the same time, for Figure 3 The percentages shown are merely illustrative examples, and the percentages can be other values ​​depending on the actual situation. For example, warehouses storing flammable and explosive materials for a long time have a relatively higher probability of fire compared to warehouses storing cold chain goods, and their percentages will be adjusted accordingly.

[0048] Based on the division of fire occurrence probability in the normal distribution model, in step S210, historical monitoring data of different environmental state parameters are mapped to the normal distribution model to obtain the occurrence probability of fire alarm corresponding to each environmental state parameter, and the proportion of the occurrence probability interval is used as the score of the corresponding environmental state parameter.

[0049] For example, if the collected temperature value is 40 degrees Celsius, the probability of a fire is relatively low, the proportion of the corresponding range is larger, and the score is higher.

[0050] Furthermore, in step S220, the scores of all environmental state parameters are accumulated to obtain a cumulative score, and the fire level corresponding to the cumulative score is determined.

[0051] Specifically, the types of environmental status parameters can be determined according to the specific application scenario. For example, if the preset environmental status parameters consist of temperature values ​​collected by temperature sensors at various locations in the building, smoke concentration collected by smoke sensors, and the ventilation and oxygen supply status at each location (i.e., the number of open vents), then the percentage of the probability of a fire occurring at the current temperature, the percentage of the probability of a fire occurring at the smoke concentration, and the percentage of the probability of a fire occurring at the oxygen supply status are obtained. These percentages are then accumulated to obtain a cumulative score. Figure 4 As shown, Figure 4 This is a schematic diagram illustrating the mapping relationship between fire level and cumulative score, as an exemplary embodiment of this application. Based on a preset mapping table of fire level and cumulative score, the fire level corresponding to the cumulative value is obtained. It can be seen that the higher the cumulative score, the lower the risk, and the lower the corresponding fire level. At the same time, corresponding descriptions are given for different fire levels to provide some assistance to fire command.

[0052] After obtaining the corresponding fire level, in step S230, a preset fire-fighting strategy corresponding to the fire level is output according to the fire level.

[0053] Specifically, in step S230, a preset fire-fighting strategy corresponding to the fire level is output, such as... Figure 5 As shown, it includes at least steps S300 to S310, which are described in detail below:

[0054] In step S300, the fire area of ​​the building is obtained according to the environmental condition parameters, and the water consumption required for fire fighting is estimated based on the fire area.

[0055] Estimating the burned area is a key component of fire reconnaissance operations. The burned area is a crucial basis for commanding fire-related decisions and mobilizing resources. It can be calculated based on monitoring images and simulation results from digital twin models, or obtained through feedback from on-site personnel using methods such as pacing, visual inspection, and experience. The calculation of water consumption at the fire scene is expressed using the following formula:

[0056] Q = Aq

[0057] In the formula, Q represents the actual water consumption at the fire site, in L / s; A represents the fire area, in m²; q represents the fire extinguishing water supply intensity, in L / s·m²; wherein, the fire extinguishing water supply intensity is obtained from the preset "Building Fire Extinguishing Water Supply Intensity" according to the specific usage scenario, for example: the fire extinguishing water supply intensity in this application can be taken as 0.2L / s·m².

[0058] Based on the calculated water consumption, in step S310, according to the pre-set cooperative operation principle and water consumption of different fire-fighting equipment, the occupancy ratio of different fire-fighting equipment and the corresponding occupancy ratio of fire-fighting personnel are estimated.

[0059] On the one hand, taking fire hoses as an example, the calculation method for controlling the combustion area through fire hoses is expressed by the following expression:

[0060] f = W / q

[0061] In the formula, f represents the control area of ​​each water gun, in square meters; W represents the flow rate of each water gun, in liters per second (L / s), which is adapted to different fire gun specifications. Taking a 19mm fire gun as an example, the effective range of this fire gun is 15m and the flow rate is 6.5L / s; q represents the fire extinguishing water supply intensity, in liters per second (L / s·m²).

[0062] The calculation of the number of fire hoses is expressed by the following formula:

[0063] N = A / f

[0064] In the formula, N represents the number of water guns required at the fire site, in units of guns; A represents the burning area of ​​the fire site, in units of square meters (m²); and f represents the control area of ​​each water gun, in units of square meters (m²).

[0065] Based on the calculation of the combustion area controlled by a single fire hose, the following expression is used to represent the number of water tanker fire trucks equipped with fire hoses:

[0066] M = A / nf

[0067] In the formula, M represents the number of water tanker fire trucks, in units of vehicles; A represents the fire area, in units of square meters; n represents the number of water nozzles supplied by each water tanker fire truck, in units of nozzles. Each water tanker fire truck is equipped with 2 or 3 19mm fire nozzles. When calculating the number of water tanker fire trucks, water tanker fire trucks equipped with different numbers of fire nozzles will be distinguished by different types of fire-fighting equipment; f represents the control area of ​​each fire nozzle, in units of square meters.

[0068] On the other hand, taking fire water supply trucks as an example, the following expression is used to represent the number of fire water supply trucks:

[0069] G = Q / h

[0070] In the formula, G represents the number of fire water supply trucks, in units of vehicles; Q represents the actual water consumption at the fire scene, in units of L / s; and h represents the water supply of each fire water supply truck, in units of L / s.

[0071] It should be noted that, due to the complexity of fire situations, fire trucks are required to perform challenging firefighting operations. These fire trucks need to be equipped with various tools, such as lifting equipment and ladders, which inevitably results in limited water storage capacity. Therefore, corresponding fire water supply trucks are needed to assist them. Based on the water supply capacity of each fire water supply truck, the number of fire trucks is calculated using the following expression:

[0072] C = Ah / q

[0073] In the formula, C represents the number of fire fighting vehicles, in units of vehicles; A represents the fire area, in units of square meters; h represents the water supply volume of each fire water supply vehicle, in units of L / s; and q represents the fire extinguishing water supply intensity, in units of L / s·square meters.

[0074] If other fire-fighting equipment is insufficient for fire-fighting operations and fire trucks are the only option, the number of fire trucks can be calculated using the following expression:

[0075] C = A / a

[0076] In the formula, C represents the number of fire fighting vehicles, in units of vehicles; A represents the fire area, in units of square meters; and a represents the fire area controlled by each fire fighting vehicle, in units of square meters.

[0077] On the other hand, for firefighting operations where vehicles and personnel cannot approach, it is necessary to install additional fire monitors for remote firefighting operations. The water control area of ​​each fire monitor is calculated using the following expression:

[0078] p = L / q

[0079] In the formula, p represents the control area of ​​each fire monitor, in square meters; L represents the flow rate of each fire monitor, in L / s. The specific flow rate of the fire monitor is calculated based on the different specifications of fire monitors in the existing fire protection resources. For example, the flow rate of most fire monitors is 30-200 L / s, and the common flow rate is 40 L / s; q represents the fire extinguishing water supply intensity, in L / s·m².

[0080] Based on the control area of ​​each fire monitor, the calculation method for the number of fire monitors is expressed by the following expression:

[0081] E = A / p

[0082] In the formula, E represents the number of fire monitors, in units of units; A represents the fire area, in square meters (m²); and p represents the control area of ​​each fire monitor, in square meters (m²).

[0083] Based on the above calculation method for fire-fighting equipment, in step S310, the occupancy ratio of different fire-fighting equipment and the corresponding occupancy ratio of firefighters are obtained from the budget, and are described exemplarily as follows:

[0084] Taking the fire rating calculated above as an example, when the fire rating is level three, if the burning area of ​​the building is about 300㎡, the corresponding fire water consumption can be calculated using the expression Q=Aq as 300㎡x0.2L / s·㎡=150L / s.

[0085] According to the principle of coordinated firefighting, at least one 40L / s fire monitor needs to be set up, and 17 19mm fire hoses need to be equipped. Based on the water supply of each fire-fighting device, the estimated fire water supply is: 17 x 6.5L / s + 40L / s = 150.5L / s, which meets the fire extinguishing requirements.

[0086] Furthermore, based on the number of water tanker fire trucks corresponding to the 17 fire hoses, and assuming each water tanker fire truck is equipped with 3 fire hoses, a total of 6 water tanker fire trucks are needed. Considering the firefighters required for various firefighting equipment and the allocation of ground rescue personnel, taking one fire brigade as an operational unit, 7 stations need to be deployed. These can be further divided into 3 special service stations and 3 secondary stations. Among them, 6 operational units are for interior attack, search and rescue, and fire control operations, and 1 operational unit is a randomly deployed operational unit, including approximately 85 interior attack personnel. Based on the specific number of firefighters, approximately 26 fire trucks are allocated for personnel deployment to meet the firefighting intensity requirements.

[0087] Based on the configured fire-fighting equipment and personnel, in step S230, a preset fire-fighting strategy corresponding to the fire level is output, such as... Figure 6 As shown, it also includes at least steps S400 to S420, which are described in detail below:

[0088] In step S400, water source information within a preset range of the building is obtained.

[0089] Specifically, the search involves identifying the number and location of underground fire hydrants and fire hydrants within a defined range. Based on the example above, to meet the needs of a 300㎡ burning area, the search identifies 14 underground fire hydrants (flow rate 15L / s) and 1 fire hydrant (flow rate 30L / s) within a 200-meter range. The total water supply is calculated to be 14 x 15L / s + 30L / s = 240L / s, which meets the fire extinguishing water supply requirements. Of course, if the water supply needs cannot be met, the preset range can be adjusted adaptively until the requirements are met.

[0090] Based on the obtained water source information, in step S410, the supply and demand time of the fire-fighting process is estimated according to the water source information and the water filling speed of the corresponding water supply equipment.

[0091] Specifically, the calculation is based on the amount of water on the vehicle and the water usage rate at the fire scene per unit time. The unit time can be per minute or other times. Taking one minute as an example, the water delivery time is obtained by dividing the amount of water on the vehicle by the water usage rate at the fire scene. For example: 123400L ÷ 150.5L / s ÷ 60s ≈ 13.7 minutes. Therefore, subsequent water replenishment needs to be met within 13.7 minutes.

[0092] Furthermore, in step S420, the shortest water supply path for different fire-fighting equipment is planned based on the supply and demand time.

[0093] Based on the supply and demand time calculation in the example above, and exemplarily explained, the shortest water supply route is planned by combining the total time for water refilling and transportation of the water supply fire trucks, so that the total time is less than 13.7 minutes. Of course, if the water supply route is too long, the amount of water refilled by each water supply fire truck can be reduced, and the number of water supply fire trucks can be increased to ensure the continuity of water supply.

[0094] In order to improve the efficiency of fire command, in step S140, the simulation effect diagram of the building's corresponding environmental state and the fire prompt information are displayed.

[0095] Through the above implementation method, the simulation effect diagram of the corresponding environmental state of the building and the fire warning information can be displayed on the same display interface. This facilitates the analysis of real-time fire conditions and enables faster fire-fighting decisions based on the fire warning information, thereby improving the efficiency of fire command and reducing the losses caused by fire.

[0096] In some embodiments of this application, a fire-fighting strategy is preset based on the output corresponding to the fire level, such as... Figure 7 As shown, it also includes at least steps S500 to S510, which are described in detail below:

[0097] In step S500, the rate of fire spread is estimated based on the size of the building's interior space and the number of ventilation openings.

[0098] It should be noted that if a building has a large internal space and sufficient air supply, creating favorable conditions for the development and spread of fire, the fire will spread faster. Specifically, for buildings with large spans and spaces, the internal air circulation is better. When a fire occurs, for example, in the initial stage, such as in an open-air combustion environment, the ample air supply, under the influence of strong hot air currents, allows the fire to spread rapidly vertically and horizontally, quickly forming a large-scale fire. Therefore, the intensity of a fire is partly determined by oxygen supply conditions, and the size of the building's internal space and the number of ventilation openings determine these oxygen supply conditions. Thus, the spread rate of a fire can be estimated based on the size of the building's internal space and the number of ventilation openings, thereby estimating the burned area.

[0099] Furthermore, based on the aforementioned oxygen supply conditions, in step S510, the spread rate is updated according to the amount of combustible material in the building, and the fire-fighting strategy is updated based on the updated spread rate.

[0100] For example, if the building in question is a department store, it contains a large number of flammable or even highly flammable materials. In the event of a fire, the flammable and highly flammable materials stored inside the building will accelerate the spread of the fire. Therefore, it is necessary to re-estimate the rate of fire spread.

[0101] Through the above implementation method, the calculation of the combustion area is carried out by considering factors from multiple directions, which makes the final obtained combustion area more accurate and improves the reliability of the fire protection strategy.

[0102] In some embodiments of this application, a fire simulation is also provided. The fire simulation is performed in a digital twin model according to the fire protection strategy to obtain the environmental simulation parameters corresponding to the building. Then, based on the state simulation graphics corresponding to the environmental simulation parameters, the simulation effect diagram of the environmental state corresponding to the building is updated.

[0103] To illustrate, the environmental state parameters corresponding to the building are replaced based on the fire protection strategy. For example, based on the fire protection strategy, after spraying a certain amount of water at a certain location in the building, the environmental pre-simulation parameters after the fire protection is carried out at that location are estimated. Based on the simulation method of the above environmental state parameters in the digital twin model, the simulation is performed in the digital twin model according to the environmental pre-simulation parameters, thereby obtaining the simulation effect diagram of the fire protection pre-simulation. It should be noted that the simulation effect diagram of the fire protection pre-simulation only serves as a preview, while the simulation effect diagram corresponding to the real-time environmental state parameters is still retained.

[0104] Through the above implementation method, the simulation effect diagram of the fire drill can be compared and displayed with the simulation effect diagram corresponding to the real-time environmental state parameters, so as to intuitively reflect the fire-fighting results.

[0105] In some embodiments of this application, the fire alarm information includes environmental change trends; corresponding fire alarm information is generated based on fire resources within a preset area of ​​the building, such as... Figure 8 As shown, it also includes at least steps S600 to S610, which are described in detail below:

[0106] In step S600, a continuous state diagram of different environmental state parameters is obtained based on historical monitoring data of environmental state parameters.

[0107] Specifically, the collection of environmental state parameters is carried out in real time, while some environmental state parameters have continuous characteristics, such as temperature parameters. Furthermore, some flammable materials need to reach a certain ignition point to burn. Therefore, based on the continuous environmental temperature state map, that is, the BI (Business Intelligence) view of temperature characteristics corresponding to environmental state parameters, it can be determined whether there is a possibility of combustion.

[0108] Furthermore, in step S610, the environmental change trend corresponding to different environmental state parameters is determined based on the continuous state diagram of different environmental state parameters.

[0109] As illustrated by the temperature characteristic example above, the continuous state intuitively reflects the temperature fluctuations over a certain period of time, thereby determining the corresponding environmental change trend when the environmental state parameter is the temperature characteristic.

[0110] Through the above implementation methods, based on accumulated historical monitoring data, the continuous state of various environmental state parameters over a period of time is obtained, thereby determining the changing trend of the corresponding environmental state parameters, which reflects whether there are fire hazards, thus facilitating the early implementation of preventive measures to reduce the probability of fire-fighting resources being occupied.

[0111] The following describes system embodiments of this application, which can be used to execute the smart fire protection implementation method based on digital twins in the above embodiments of this application. For details not disclosed in the system embodiments of this application, please refer to the embodiments of the smart fire protection implementation method based on digital twins described above.

[0112] Figure 9 A block diagram of a digital twin-based smart fire protection system 700 according to an embodiment of this application is shown.

[0113] Reference Figure 9 As shown, a digital twin-based smart fire protection system 700 according to an embodiment of this application includes:

[0114] The data acquisition unit 710 is configured to collect real-time environmental status parameters of the building.

[0115] The data input unit 720 is configured to input environmental status parameters into the digital twin model corresponding to the building;

[0116] The simulation unit 730 is configured to simulate the state simulation graphics on the digital twin model according to the mapping relationship between environmental state parameters and preset state simulation graphics, so as to obtain the simulation effect diagram of the environmental state corresponding to the building.

[0117] The prompt generation unit 740 is configured to generate corresponding fire prompt information based on fire resources within a preset range of the building;

[0118] The combat display unit 750 is configured to display a simulation of the building's environmental conditions and fire-fighting strategies.

[0119] In some embodiments of this application, based on the aforementioned scheme, the prompt generation unit 740 is further configured to: generate fire prompt information including fire prevention strategies; generate corresponding fire prompt information based on fire resources within a preset range of the building, including: dividing multiple fire alarm occurrence probability intervals based on a preset normal distribution model; mapping historical monitoring data of different environmental state parameters to the normal distribution model to obtain the occurrence probability of fire alarms corresponding to each environmental state parameter, and using the proportion of the occurrence probability interval as the score of the corresponding environmental state parameter; accumulating the scores of all environmental state parameters to obtain a cumulative score, and determining the fire level corresponding to the cumulative score; and outputting a preset fire prevention strategy corresponding to the fire level based on the fire level.

[0120] In some embodiments of this application, based on the foregoing scheme, the prompt generation unit 740 is further configured to: output a preset fire-fighting strategy corresponding to the fire level, including: obtaining the combustion area of ​​the building based on environmental state parameters, and estimating the water consumption required for fire fighting based on the combustion area; and estimating the occupancy ratio of different fire-fighting equipment and the corresponding occupancy ratio of fire-fighting personnel based on the preset cooperative operation principles and water consumption of different fire-fighting equipment.

[0121] In some embodiments of this application, based on the aforementioned scheme, the prompt generation unit 740 is further configured to: output a preset fire-fighting strategy corresponding to the fire level, and further include: obtaining water source information within a preset range of the building; estimating the supply and demand time of the fire-fighting process based on the water source information and the water filling speed of the corresponding water supply equipment; and planning the shortest water supply path for different fire-fighting equipment based on the supply and demand time.

[0122] In some embodiments of this application, based on the foregoing scheme, the prompt generation unit 740 is further configured to: output a preset fire-fighting strategy corresponding to the fire level, and further include: estimating the fire spread rate based on the size of the building's internal space and the number of ventilation openings; updating the spread rate based on the amount of combustible materials in the building, and updating the fire-fighting strategy based on the updated spread rate.

[0123] In some embodiments of this application, based on the aforementioned scheme, the simulation unit 730 is further configured to: perform fire simulation in the digital twin model according to the fire protection strategy to obtain the environmental simulation parameters corresponding to the building; and update the simulation effect diagram of the environmental state corresponding to the building based on the state simulation diagram corresponding to the environmental simulation parameters.

[0124] In some embodiments of this application, based on the foregoing scheme, the prompt generation unit 740 is further configured to: provide fire prompt information including environmental change trends; generate corresponding fire prompt information based on fire resources within a preset range of the building, including: obtaining a continuous state diagram of different environmental state parameters based on historical monitoring data of environmental state parameters; and determining the environmental change trends corresponding to different environmental state parameters based on the continuous state diagrams of different environmental state parameters.

[0125] It should be noted that the smart fire protection system 700 based on digital twins provided in the above embodiments and the smart fire protection method based on digital twins provided in the above embodiments belong to the same concept. The specific ways in which each module and unit performs operations have been described in detail in the method embodiments, and will not be repeated here.

[0126] Embodiments of this application also provide an electronic device, including a processor and a memory, wherein the memory stores computer-readable instructions that, when executed by the processor, implement the aforementioned intelligent fire protection method based on digital twins.

[0127] Figure 10 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown.

[0128] It should be noted that, Figure 10 The computer system 800 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0129] like Figure 10As shown, the computer system 800 includes a Central Processing Unit (CPU) 801, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 802 or programs loaded from storage portion 808 into Random Access Memory (RAM) 803, such as performing the methods described in the above embodiments. The RAM 803 also stores various programs and data required for system operation. The CPU 801, ROM 802, and RAM 803 are interconnected via a bus 804. An Input / Output (I / O) interface 805 is also connected to the bus 804.

[0130] The following components are connected to I / O interface 805: an input section 806 including a keyboard, mouse, etc.; an output section 807 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 808 including a hard disk, etc.; and a communication section 809 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to I / O interface 805 as needed. A removable medium 811, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 810 as needed so that computer programs read from it can be installed into storage section 808 as needed.

[0131] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 809, and / or installed from removable medium 811. When the computer program is executed by central processing unit (CPU) 801, it performs various functions defined in the system of this application.

[0132] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. The transmitted data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0133] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0134] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0135] In another aspect, this application also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The computer-readable storage medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the methods described in the above embodiments.

[0136] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0137] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of this application.

[0138] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein.

[0139] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for implementing intelligent fire protection based on digital twins, characterized in that, The method includes: Collect real-time environmental status parameters of the building; The environmental state parameters are input into the digital twin model corresponding to the building; Based on the mapping relationship between the environmental state parameters and the preset state simulation graphics, the state simulation graphics are simulated on the digital twin model to obtain a simulation effect diagram of the environmental state corresponding to the building. Based on the fire protection resources within a preset range of the building, corresponding fire alarm information is generated, including fire protection strategies. The steps for generating the fire alarm information include: dividing multiple probability intervals for fire alarm occurrences based on a preset normal distribution model; mapping historical monitoring data of different environmental state parameters to the normal distribution model to obtain the probability of fire alarm occurrence corresponding to each environmental state parameter, and using the proportion of the probability interval as the score of the corresponding environmental state parameter; accumulating the scores of all environmental state parameters to obtain a cumulative score, and determining the fire level corresponding to the cumulative score; and outputting a preset fire protection strategy corresponding to the fire level based on the fire level. The simulation rendering of the building's corresponding environmental conditions and the fire safety warning information are displayed.

2. The method according to claim 1, characterized in that, The output corresponds to a preset fire-fighting strategy for the fire level, including: Based on the environmental condition parameters, the fire area of ​​the building is obtained, and the water consumption required for fire fighting is estimated based on the fire area. Based on the pre-set collaborative operation principles of different fire-fighting equipment and the water consumption, the occupancy ratio of different fire-fighting equipment and the corresponding occupancy ratio of fire-fighting personnel are estimated.

3. The method according to claim 2, characterized in that, The output, which corresponds to the preset fire-fighting strategy for the fire level, further includes: Obtain water source information within a preset range of the building; Based on the water source information and the water filling speed of the corresponding water supply equipment, the supply and demand time for the fire-fighting process can be estimated. Based on the supply and demand time, plan the shortest water supply path for different fire-fighting equipment.

4. The method according to claim 2 or 3, characterized in that, The output, which corresponds to the preset fire-fighting strategy for the fire level, further includes: Based on the size of the building's interior space and the number of ventilation openings, the rate of fire spread can be estimated. The spread rate is updated based on the amount of combustible material in the building, and the fire-fighting strategy is updated based on the updated spread rate.

5. The method according to claim 1, characterized in that, The method further includes: Fire simulation is performed in the digital twin model according to the fire protection strategy to obtain the environmental simulation parameters corresponding to the building; Based on the state simulation graphics corresponding to the environmental pre-simulation parameters, the simulation effect diagram of the environmental state corresponding to the building is updated.

6. The method according to claim 1, characterized in that, The fire safety alert information includes environmental change trends; the generation of corresponding fire safety alert information based on fire-fighting resources within the preset range of the building includes: Based on the historical monitoring data of the environmental state parameters, a continuous state diagram of different environmental state parameters is obtained; Based on the continuous state diagrams of the different environmental state parameters, the environmental change trends corresponding to the different environmental state parameters are determined.

7. A smart fire protection system based on digital twins, characterized in that, include: The data acquisition unit is configured to collect real-time environmental status parameters of the building. The data input unit is configured to input the environmental state parameters into the digital twin model corresponding to the building; The simulation unit is configured to simulate the state simulation graphics on the digital twin model according to the mapping relationship between the environmental state parameters and the preset state simulation graphics, so as to obtain a simulation effect diagram of the environmental state corresponding to the building. The prompt generation unit is configured to generate corresponding fire prompt information based on fire resources within a preset range of the building, wherein the fire prompt information includes fire protection strategies; The prompt generation unit specifically performs the following steps: dividing multiple fire alarm occurrence probability intervals based on a preset normal distribution model; mapping historical monitoring data of different environmental state parameters to the normal distribution model to obtain the occurrence probability of fire alarms corresponding to each environmental state parameter, and using the proportion of the occurrence probability interval as the score of the corresponding environmental state parameter; accumulating the scores of all environmental state parameters to obtain a cumulative score, and determining the fire level corresponding to the cumulative score; Based on the fire level, output a preset fire-fighting strategy corresponding to the fire level; The combat display unit is configured to display a simulation image of the building's corresponding environmental state and the fire-fighting strategy.

8. A computer-readable storage medium, characterized in that, It stores computer-readable instructions, which, when executed by the computer's processor, cause the computer to perform the intelligent fire protection implementation method based on digital twins as described in any one of claims 1-6.

9. An electronic device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the intelligent fire protection method based on digital twins as described in any one of claims 1 to 6.

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