Spatial fire behavior prediction method and device, electronic equipment and storage medium

Abstract

The invention discloses a space fire behavior prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining structure information of a target building; acquiring position information of sensing equipment in the target building; building modeling is carried out based on the structure information, and a first space model of the target building is obtained; performing equipment dotting on the first space model according to the position information to obtain a second space model; acquiring operation data of all sensing equipment in the target building, and determining a fire behavior condition based on the operation data; the fire behavior condition comprises a smoke coverage position, an ignition position and a safe position; and the fire behavior condition is applied to the second space model through digital twinning, and visual 3D fire behavior information of the target building is obtained. According to the invention, the fire emergency response speed can be improved, the visualization effect of the fire scene is enhanced, the intelligent level of fire emergency management is improved, the safety of personnel evacuation is enhanced, and the system can be widely applied to the technical field of data processing.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, device, electronic equipment and storage medium for predicting spatial fire intensity. Background Art

[0002] The rapid development of urbanization and the rise of tall buildings have also brought some risks, such as the difficulty of fire rescue in high-rise buildings. After a fire occurs in a high-rise building, the rapid spread of fire and the diffusion of smoke often make it difficult for people to accurately determine the location and size of the fire, making it extremely difficult to plan an escape route. Although traditional fire alarm systems can sound an alarm at the beginning of a fire, they often lack detailed escape instructions for the characteristics of high-rise building fires, causing people to be confused during the escape process due to insufficient information. As a result, after a building fire occurs, people cannot plan an escape route without understanding the fire, and often lose their lives due to missing the opportunity to escape or adopting the wrong escape route or method. Summary of the invention

[0003] The present invention proposes a spatial fire prediction method, device, electronic device and storage medium, aiming to solve one of the technical problems in the related technology at least to a certain extent. The embodiments of the present invention can accurately realize spatial fire prediction and assist in understanding fire information.

[0004] On the one hand, an embodiment of the present invention provides a spatial fire prediction method, comprising:

[0005] Obtain structural information of the target building; obtain location information of sensing devices in the target building;

[0006] Building modeling is performed based on the structural information to obtain a first spatial model of the target building;

[0007] According to the location information, equipment points are marked on the first space model to obtain a second space model;

[0008] Obtain the operating data of all sensing devices in the target building and determine the fire situation based on the operating data; the fire situation includes the smoke coverage position, the fire position and the safe position;

[0009] Through digital twins, the fire situation is applied to the second space model to obtain visual 3D fire information of the target building.

[0010] Optionally, obtaining the location information of the sensing device in the target building includes the following steps:

[0011] Obtain location information according to the installation drawing of the sensing device;

[0012] and / or, obtaining location information based on a positioning function of a sensing device;

[0013] The location information includes latitude, longitude and elevation information.

[0014] Optionally, building modeling is performed based on the structural information to obtain a first spatial model of the target building, including the following steps:

[0015] Based on the structural information of the target building, the spatial information is digitized by using the building information modeling technology to obtain the first spatial model of the target building;

[0016] Among them, the structural information includes the spatial shape, internal structure and fire escape location of the target building.

[0017] Optionally, according to the location information, marking the device on the first space model to obtain the second space model includes the following steps:

[0018] Based on the location information combined with the IoT information of each sensing device, the urban information model technology is used to complete the device marking of each sensing device on the first spatial model to obtain the second spatial model.

[0019] Optionally, obtaining the operating data of all sensing devices in the target building includes the following steps:

[0020] Obtaining operation data in response to heartbeat and perception data regularly reported by the perception device;

[0021] and / or, in response to an instruction issued to the sensing device, so that the sensing device returns feedback information, and obtaining operation data based on the feedback information;

[0022] Among them, when the sensing device fails to report the heartbeat and sensing data within a preset period and the sensing device fails to return feedback information in response to the issued instruction, it is determined that the operating status information in the operating data of the sensing device is in a lost connection state.

[0023] Optionally, the operation data includes operation status information and perception information of the sensing device, and the perception information includes smoke sensing information and temperature sensing information; determining the fire situation based on the operation data includes the following steps:

[0024] When the smoke information of the sensing device is greater than a first smoke threshold, determining that the position corresponding to the sensing device is a smoke covered position;

[0025] When the temperature information of the sensing device is greater than a first temperature threshold, determining that the position corresponding to the sensing device is a fire position;

[0026] When the operating status information of the sensing device is a disconnected state, and the smoke information of other sensing devices within the preset range of the sensing device is greater than the second smoke threshold or the temperature information is greater than the second temperature threshold, it is determined that the position corresponding to the sensing device is a fire position;

[0027] When the smoke information of the sensing device is less than the third smoke threshold or the temperature information is less than the third temperature threshold, it is determined that the position corresponding to the sensing device is a safe position.

[0028] Optionally, the method further comprises the following steps:

[0029] Based on the visualized 3D fire information combined with the second space model, route planning is performed through a preset artificial intelligence model to obtain the route planning result;

[0030] Among them, the route planning results include escape routes and rescue routes.

[0031] On the other hand, an embodiment of the present invention provides a spatial fire prediction device, comprising:

[0032] The first module is used to obtain the structural information of the target building and the location information of the sensing device in the target building;

[0033] The second module is used to perform building modeling based on the structural information to obtain a first spatial model of the target building;

[0034] The third module is used to mark the equipment on the first space model according to the position information to obtain the second space model;

[0035] The fourth module is used to obtain the operating data of all sensing devices in the target building and determine the fire situation based on the operating data; the fire situation includes the smoke coverage position, the fire position and the safe position;

[0036] The fifth module is used to apply the fire situation to the second space model through digital twins to obtain visual 3D fire information of the target building.

[0037] Optionally, the device further comprises:

[0038] The sixth module is used to perform route planning based on the visualized 3D fire information combined with the second space model through a preset artificial intelligence model to obtain a route planning result;

[0039] Among them, the route planning results include escape routes and rescue routes.

[0040] On the other hand, an embodiment of the present invention provides an electronic device, including: a processor and a memory; the memory is used to store programs; the processor executes the program to implement the above-mentioned spatial fire prediction method.

[0041] On the other hand, an embodiment of the present invention provides a computer storage medium, in which a program executable by a processor is stored. When the program executable by the processor is executed by the processor, it is used to implement the above-mentioned spatial fire prediction method.

[0042] The embodiment of the present invention obtains the structural information of the target building; obtains the location information of the sensing device in the target building; performs building modeling based on the structural information to obtain the first spatial model of the target building; performs equipment marking on the first spatial model according to the location information to obtain the second spatial model; obtains the operating data of all sensing devices in the target building, and determines the fire situation based on the operating data; the fire situation includes the smoke coverage position, the fire position and the safe position; applies the fire situation to the second spatial model through the digital twin to obtain the visualized 3D fire information of the target building. The present invention includes the following beneficial effects:

[0043] Improve the speed of fire emergency response: By obtaining the structural information of the target building and the location information of the sensing device, the first and second spatial models of the building can be quickly constructed, providing an accurate spatial basis for the subsequent fire emergency response. When a fire occurs, the fire situation can be determined in real time based on the operating data of the sensing device, including the smoke coverage position, the fire position and the safe position, thereby greatly shortening the time of fire emergency response.

[0044] Enhanced visualization of the fire scene: Through digital twin technology, the fire situation is applied to the second space model to generate visual 3D fire information of the target building. This intuitive and three-dimensional display method helps firefighters quickly understand the overall situation of the fire scene, including the location of the fire source, smoke diffusion trend, and safe escape routes.

[0045] Visualized 3D fire information can also provide decision-making support for fire commanders, helping them to formulate reasonable fire extinguishing and rescue plans based on the fire situation.

[0046] Improve the intelligence level of fire emergency management: This invention combines sensing equipment with digital twin technology to achieve real-time monitoring and dynamic simulation of the fire scene. This intelligent management method can significantly improve the efficiency and accuracy of fire emergency management. By continuously optimizing algorithms and models, the system can also predict the development trend of fires based on historical data and real-time conditions, providing a more scientific basis for future fire prevention and emergency response.

[0047] Enhanced safety of evacuation: When a fire occurs, the safe location information can be updated in real time to provide safe evacuation routes for people in the building. This helps reduce casualties and improves evacuation efficiency. At the same time, the visualized 3D fire information can also provide intuitive escape guidance for people, helping them better understand the situation at the fire scene and make the right escape decisions.

[0048] In summary, the present invention realizes a 3D visualization of the fire situation of the target building by integrating building structure information, sensing device location information and its operation data, combined with digital twin technology. This technical solution not only improves the fire emergency response speed and enhances the visualization effect of the fire scene, but also improves the intelligent level of fire emergency management and enhances the safety of personnel evacuation. Therefore, this technical solution has broad application prospects and important practical value in the field of high-rise building fire emergency response and management. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings are used to provide a further understanding of the technical solution of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the technical solution of the present invention and do not constitute a limitation on the technical solution of the present invention.

[0050] Figure 1 A schematic diagram of an implementation environment for spatial fire prediction provided by an embodiment of the present invention;

[0051] Figure 2 A schematic diagram of a flow chart of a method for predicting spatial fire intensity provided by an embodiment of the present invention;

[0052] Figure 3 A schematic diagram of an example of the effect of spatial modeling provided by an embodiment of the present invention;

[0053] Figure 4 A schematic diagram of an example of the effect of dotting a device provided in an embodiment of the present invention;

[0054] Figure 5 A schematic diagram of a modeling process provided by an embodiment of the present invention;

[0055] Figure 6 A schematic diagram of a daily monitoring process provided by an embodiment of the present invention;

[0056] Figure 7 A schematic diagram of a fire prediction process provided by an embodiment of the present invention;

[0057] Figure 8 A schematic diagram of the business logic of the fire prediction process provided by an embodiment of the present invention;

[0058] Fig. 9 A schematic diagram of an example of a page for visualizing 3D fire information provided by an embodiment of the present invention;

[0059] Fig.10 A schematic diagram of another example of a page for visualizing 3D fire information provided by an embodiment of the present invention;

[0060] Fig.11 A schematic diagram of the structure of a spatial fire prediction device provided by an embodiment of the present invention;

[0061] Fig.12 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0063] It should be noted that, although the functional modules are divided in the system schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the system or the order in the flowchart. The terms "first / S100", "second / S200", etc. in the specification, claims and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0064] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0065] To facilitate the understanding of the technical solution of the present invention, the technical feature terms that may appear in the embodiments of the present invention are first explained:

[0066] BIM / bim (Building Information Modeling): Building Information Modeling is a three-dimensional virtual digital technology for design and construction. BIM technology can be applied to various stages of engineering planning, investigation, design, manufacturing, construction, operation and maintenance, to achieve key data sharing and collaboration among all participants and links in the entire life cycle of a building. It is a basic technology for achieving the transformation and upgrading of the construction industry, promoting the development of green buildings, improving the level of informatization in the construction industry and promoting the construction of smart cities. It simulates the real information of a building through three-dimensional digital technology, and provides a mutually coordinated and internally consistent information model for engineering design and construction, so that the model can achieve the integration of design and construction, and various disciplines can work together, thereby reducing the production cost of the project and ensuring that the project is completed on time and with quality.

[0067] CIM / cim (City Information Modeling): City Information Model is the extension of the concept of BIM building information model within the city, and is the foundation and key to realizing the digital twin city. CIM is based on the three-dimensional urban spatial geographic information, superimposed with the BIM information of urban buildings, above-ground and underground facilities, and the urban Internet of Things information, to build a three-dimensional digital space urban information model. Compared with the traditional GIS-based digital city, CIM refines the data granularity to an electromechanical accessory or a door inside a single building in the city, upgrading the traditional static digital city to a perceptible, dynamic online, virtual-real interactive digital twin city, providing a data foundation for agile urban management and refined governance.

[0068] It is understandable that the spatial fire prediction method provided in the embodiment of the present invention can be applied to any computer device with data processing and computing capabilities, and this computer device can be various terminals or servers. When the computer device in the embodiment is a server, the server is an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. Optionally, the terminal is a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited to this.

[0069] like Figure 1 FIG. 1 is a schematic diagram of an implementation environment provided by an embodiment of the present invention. Figure 1 The implementation environment includes at least one terminal 102 and a server 101. The terminal 102 and the server 101 can be connected to a network wirelessly or wired to complete data transmission and exchange.

[0070] Server 101 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), as well as big data and artificial intelligence platforms.

[0071] In addition, the server 101 can also be a node server in the blockchain network. Blockchain is a new application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, and encryption algorithm.

[0072] The terminal 102 may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto. The terminal 102 and the server 101 may be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present invention.

[0073] Based on the example Figure 1 In the implementation environment shown, an embodiment of the present invention provides a spatial fire prediction method. The following is an example of applying the spatial fire prediction method in the terminal 102. It can be understood that the spatial fire prediction method can also be applied to the server 101.

[0074] Reference Figure 2 , Figure 2 The flowchart of the spatial fire prediction method applied to a terminal provided by an embodiment of the present invention, the execution subject of the spatial fire prediction method can be any of the aforementioned computer devices (including a server or a terminal). Figure 2 , the method comprises the following steps:

[0075] S100, obtaining structural information of a target building; obtaining location information of a sensing device in the target building;

[0076] It should be noted that, in some embodiments, obtaining the location information of a sensing device in a target building may include the following steps: obtaining the location information based on an installation drawing of the sensing device; and / or obtaining the location information based on a positioning function of the sensing device; wherein the location information includes latitude, longitude and elevation information.

[0077] For example, in some specific implementations, the longitude, latitude and elevation information of the installation location can be determined based on the actual installation drawings of the sensing device. In some optional implementations, some sensing devices have a positioning function and can obtain the precise longitude and latitude of the device on the IoT platform.

[0078] S200, building modeling is performed based on the structural information to obtain a first spatial model of the target building;

[0079] It should be noted that, in some embodiments, building modeling based on structural information to obtain a first spatial model of the target building may include the following steps: based on the structural information of the target building, spatial information is digitized through building information modeling technology to obtain a first spatial model of the target building; wherein the structural information includes the spatial shape, internal structure and fire escape location of the target building.

[0080] For example, in some specific implementations, a 3D structure diagram of the space (i.e., the first space model) can be constructed based on information such as the shape of the space, the internal structure, and the location of the fire passages, in order to digitize the space information and visualize the fire passages and office environment structures on each floor in the application interface, so as to accurately predict the fire situation in each space when a disaster occurs. Examples of the effects of the first space model are as follows: Figure 3 shown.

[0081] In some optional implementations, constructing the first space model may be specifically implemented as follows:

[0082] Step 1: Collect structural information:

[0083] First, it is necessary to comprehensively collect the structural information of the target building. This information usually includes:

[0084] Spatial shape: the overall appearance of the building, floor layout, room dimensions, etc.

[0085] Internal structure: The location and dimensions of the building’s internal structural elements such as walls, columns, beams, stairs, and elevator shafts.

[0086] Location of fire escape routes: location and signs of emergency exits, evacuation stairs, fire elevators, etc.

[0087] This information can be obtained by consulting architectural design drawings, conducting on-site surveys, and using measuring tools.

[0088] Step 2: Data preprocessing:

[0089] After collecting the structural information, data preprocessing can be performed. This includes:

[0090] Data cleaning: Remove duplicate, erroneous or invalid information.

[0091] Format conversion: Convert data from different sources and formats into a format recognizable by BIM software.

[0092] Data integration: Integrate the processed data into a complete data set for subsequent modeling.

[0093] Step 3: BIM modeling:

[0094] Next, use BIM technology to digitize spatial information. This step usually includes:

[0095] Create BIM model: In BIM software, based on the pre-processed structural information, gradually create the various components of the building. This can be done by manual drawing, importing CAD drawings, using standard components in the BIM library, etc.

[0096] Add attribute information: In addition to the spatial location, attribute information needs to be added to each element in the BIM model, such as material type, fire rating, usage function, etc. This information is crucial for subsequent fire emergency response and evacuation route planning.

[0097] Verification and optimization: During the modeling process, the accuracy and completeness of the model are constantly verified. If errors or omissions are found, they are corrected and optimized in a timely manner.

[0098] Step 4: Generate the first space model:

[0099] After the above steps, a complete BIM model will be obtained, which is the first spatial model of the target building. This model not only contains the spatial shape and internal structure of the building, but also contains key information such as the location of the fire escape. It can provide an accurate spatial basis for subsequent fire emergency response and evacuation route planning.

[0100] In some specific application scenarios, assume that there is a five-story office building as the target building. After collecting its structural information, BIM software is used for modeling. First, a two-dimensional floor plan is created based on the floor layout and room size. Then, three-dimensional elements such as walls, columns, stairs, etc. are added on this basis. During the modeling process, special attention was paid to the location and marking of fire escapes to ensure that they can be accurately reflected in the model. Finally, attribute information was added to each element in the model, such as material type (such as reinforced concrete, glass curtain wall, etc.) and fire protection level (such as Class A, Class B, etc.). After verification and optimization, a complete and accurate BIM model was obtained, which is the first spatial model of the office building.

[0101] This model can not only be used for fire emergency response and evacuation route planning, but also for many other fields, such as building maintenance, facility management, energy analysis, etc. It can provide strong support for building operation and management.

[0102] S300, marking equipment on the first space model according to the location information to obtain a second space model;

[0103] It should be noted that in some embodiments, according to the location information, device marking is performed on the first spatial model to obtain the second spatial model, which can include the following steps: according to the location information combined with the Internet of Things information of each sensing device, the device marking corresponding to each sensing device is completed on the first spatial model through the city information model technology to obtain the second spatial model.

[0104] For example, in some specific implementations, the latitude, longitude, and elevation information of the installation location can be checked in the BIM model according to the actual installation drawings of the equipment. Some equipment has a positioning function, and the precise longitude and latitude of the equipment can also be obtained on the IoT platform; then the CIM dotting function can be used to accurately dot the equipment in the space model. Figure 4 shown.

[0105] In some optional implementations, constructing the second space model may be implemented as follows:

[0106] Step 1: Collect location information and IoT information:

[0107] First, the precise location information of each sensing device is obtained from the data source, which usually includes the device's longitude, latitude, floor (high-rise information) and even room number (determined by the IoT information of the sensing device), etc. At the same time, the IoT information of each sensing device is collected, such as device ID, type, function, manufacturer, working status, etc.

[0108] Step 2: Data preprocessing and matching:

[0109] Preprocess the collected location information and IoT information to ensure data accuracy and consistency. Match the location information with the IoT information to create a comprehensive dataset containing location and IoT information for each sensing device.

[0110] Step 3: Load the first space model:

[0111] Use BIM or other 3D modeling software to load the constructed first space model. This model should accurately reflect the spatial structure, internal layout, fire escape routes and other information of the target building.

[0112] Step 4: Apply urban information modeling technology:

[0113] With the support of City Information Model (CIM) technology, the processed comprehensive data set is imported into the first spatial model. Using the spatial positioning capability of CIM technology, each sensing device is accurately placed at the corresponding position in the model.

[0114] Step 5: Equipment management:

[0115] On the first spatial model, based on the actual location of the sensing device, a marking tool (such as the point marking function in the BIM software) is used to create a marking point on each device. These marking points not only indicate the location of the sensing device, but also can be associated with its IoT information, such as device ID and working status.

[0116] Step 6: Verification and adjustment:

[0117] Verify the dotted second space model to ensure that each sensor is positioned correctly. If any errors or inconsistencies are found, make adjustments and corrections immediately.

[0118] Step 7: Generate the second space model:

[0119] After completing the mapping of all sensing devices, save and export the second space model. This model now contains the precise location and IoT information of the sensing devices, which can be used for subsequent fire emergency response, equipment management and other related applications.

[0120] For some specific application scenarios, suppose there is a smart building with multiple smoke detectors and temperature sensors. After collecting the location information and IoT information of these sensing devices, the first spatial model of the building is loaded using BIM software. Then, the location and IoT information of each device is imported into the model using CIM technology, and marker points are created on each device. Finally, the model is verified and adjusted to ensure that the location of all devices is accurate. Now, there is a second spatial model with the precise location and IoT information of the sensing devices, which can be used to monitor fire risks and other abnormal conditions in the building in real time.

[0121] S400, obtaining operation data of all sensing devices in the target building, and determining the fire situation based on the operation data;

[0122] Among them, the fire situation includes the smoke-covered position, the fire position and the safe position;

[0123] It should be noted that, in some embodiments, obtaining the operating data of all sensing devices in the target building may include the following steps: obtaining the operating data in response to the heartbeat and sensing data periodically reported by the sensing device; and / or, in response to an instruction issued to the sensing device so that the sensing device returns feedback information, obtaining the operating data based on the feedback information; wherein, when the sensing device fails to report the heartbeat and sensing data within a preset period and the sensing device fails to return feedback information in response to the instruction issued, it is determined that the operating status information in the operating data of the sensing device is in a lost state.

[0124] For example, in some specific implementations, the IoT platform can receive heartbeat and perception data regularly reported by sensing devices, such as the power level, signal level, smoke level, etc. of the sensing devices. If the device does not report information for a period of time, or the IoT platform sends instructions to the device that cannot be reached or receives feedback information, the IoT platform will analyze that the device is offline and provide maintenance information to space security personnel.

[0125] In some optional implementations, the acquisition of operating data can be implemented as follows:

[0126] Start: The process starts by acquiring the operating data of all sensing devices in the target building.

[0127] The sensing device regularly reports heartbeat and sensing data: The sensing device regularly reports its heartbeat signal (indicating that the device is online) and sensed data (such as temperature, humidity, smoke concentration, etc.) at preset time intervals.

[0128] If the device successfully reports this data, proceed to the next step.

[0129] Collect and store operation data: The system collects and stores the operation data reported by the sensing devices for subsequent analysis and use.

[0130] Check preset period: If the sensing device does not report heartbeat and sensing data within the preset period, the system will perform further checks.

[0131] Determine that the sensing device is in a lost state: If the heartbeat and sensing data of the device are not received within the preset period, the system determines that the operating state of the sensing device is a lost state.

[0132] Sending instructions to sensing devices: As another way to obtain operating data, the system can send instructions to sensing devices, requiring the devices to return specific feedback information.

[0133] Obtaining operation data based on feedback information: If the sensing device responds to the issued command and returns feedback information, the system obtains operation data based on the feedback information.

[0134] Check the command issuance time: If the sensing device does not respond to the issued command and return feedback information, the system checks whether the command issuance time exceeds the preset response time.

[0135] End of process: Whether it is through periodic reporting by sensing devices or obtaining feedback information by issuing commands, the process ends once the operating data is successfully obtained or the device is determined to be out of connection.

[0136] This process ensures that the system can obtain the operating data of all sensing devices in the target building in real time and accurately, and respond promptly when the equipment loses connection.

[0137] It should also be noted that the operating data includes operating status information and perception information of the sensing device, and the perception information includes smoke information and temperature information. In some embodiments, determining the fire situation based on the operating data may include the following steps: when the smoke information of the sensing device is greater than the first smoke threshold, determining the position corresponding to the sensing device as a smoke-covered position; when the temperature information of the sensing device is greater than the first temperature threshold, determining the position corresponding to the sensing device as a fire position; when the operating status information of the sensing device is a lost connection state, and the smoke information of other sensing devices within a preset range of the sensing device is greater than the second smoke threshold or the temperature information is greater than the second temperature threshold, determining the position corresponding to the sensing device as a fire position; when the smoke information of the sensing device is less than the third smoke threshold or the temperature information is less than the third temperature threshold, determining the position corresponding to the sensing device as a safe position.

[0138] For example, in some specific implementations, the occurrence of a general fire has a certain process. When a fire occurs, sensors such as smoke and temperature will output smoke alarms and temperature conditions, analyze and locate the location of the fire point, and other floors and locations that have not received smoke and have no abnormal temperature rise are temporarily safe floors and locations; for locations where smoke sensors have reported, these are locations with smoke or covered by smoke; for places where the temperature rises, it is likely that the fire has started; for devices that have lost connection, these locations are likely to have a large fire because the equipment has been damaged and is not in a normal working physical environment. At the same time, for the lost equipment, the IoT platform actively sends instructions to it. If there is no response, the accuracy of the device's loss of connection can be increased; for the corresponding lost equipment, the platform also sends instructions to the surrounding devices to search for the loss of connection range to determine the surrounding fire range.

[0139] In some optional implementations, the determination may be implemented as follows:

[0140] Start: The process starts with obtaining the operating data of the sensing device, which includes smoke sensing information, temperature sensing information, and operating status information.

[0141] Obtaining operating data of sensing devices: The system conducts subsequent analysis and judgment based on the operating data obtained through the sensing devices reporting or issuing instructions.

[0142] Determine whether the smoke information is greater than a first smoke threshold: If the smoke information of the sensing device is greater than a preset first smoke threshold, it indicates that the location may be covered by smoke.

[0143] The system determines that the position corresponding to the sensing device is a smoke-covered position, and marks or records it.

[0144] Determine whether the temperature information is greater than the first temperature threshold: If the temperature information of the sensing device is greater than the preset first temperature threshold, it indicates that there may be a fire source or a high temperature area at the location.

[0145] The system determines that the location corresponding to the sensing device is the fire location and immediately takes corresponding measures.

[0146] Determine whether the operating status is lost: If the operating status of the sensing device is lost, the system needs to further determine whether the device is lost due to a fire.

[0147] Determine whether the smoke or temperature information of other devices within the preset range is greater than the second threshold: The system checks other sensing devices within the preset range of the lost sensing device. If their smoke or temperature information is greater than the preset second threshold, it indicates that there may be a fire at that location.

[0148] The system determines that the location corresponding to the lost connection sensing device is the fire location and takes corresponding measures immediately.

[0149] Determine whether the smoke information and temperature information are less than the third threshold: If the smoke information and temperature information of the sensing device are both less than the preset third threshold (this threshold is usually low and is used to judge the safety status), it indicates that the location is in a safe state.

[0150] The system determines that the location corresponding to the sensing device is a safe location, and records or marks it.

[0151] Further check or wait for data: If none of the above conditions are met, the system may need to further check or wait for more data to make a judgment.

[0152] Process continues: Regardless of the system's decision, the process continues until all operating data from all sensing devices has been processed.

[0153] End: When the operating data of all sensing devices have been processed and the corresponding location information has been determined, the process ends.

[0154] This process ensures that the system can accurately judge the fire situation based on the operating data of the sensing equipment, including the smoke coverage location, fire location and safe location, providing important basis for subsequent fire emergency response.

[0155] S500. Apply the fire situation to the second space model through the digital twin to obtain visualized 3D fire information of the target building.

[0156] For example, in some specific implementations, obtaining visual 3D fire information of a target building through digital twins can be achieved as follows:

[0157] Getting Started: The process begins by acquiring fire status data, which may come from the analysis based on the operating data of the sensing equipment mentioned above.

[0158] Obtaining fire situation data: The system collects and analyzes real-time data from multiple sensing devices to determine key information such as the specific location, intensity, and spread trend of the fire.

[0159] The second space model constructed by the aforementioned process is loaded (the first space model may also be used, mainly applied to the structural information of the target building).

[0160] Loading digital twin technology: The system is loaded with digital twin technology, which can map and interact entities in the physical world with models in the virtual world in real time, dynamically and accurately.

[0161] Mapping fire data to the second spatial model: The system maps the acquired fire situation data to the second spatial model, including smoke coverage area, fire point location, fire spread trend, etc.

[0162] This step requires ensuring the accuracy and completeness of the data so that the fire conditions are accurately reflected in the virtual model.

[0163] Generate visual 3D fire information: If the data mapping is successful, the system will generate visual 3D fire information based on the second space model and fire data. This information displays the fire situation in the form of three-dimensional graphics, including flame shape, smoke diffusion, etc.

[0164] Error handling and data verification: If data mapping fails, the system needs to perform error handling and data verification. This may include checking data integrity and accuracy, and adjusting the parameters of the second space model.

[0165] After processing, the system re-attempts to map the data to the second spatial model.

[0166] Display and interact with visual 3D fire information: The system displays the generated visual 3D fire information to the user, who can view the fire situation through the interactive interface, including zooming, rotating, panning and other operations.

[0167] This helps users understand the fire situation more intuitively and make more accurate decisions.

[0168] Assisted decision-making and emergency response: Based on the visualized 3D fire information, users can formulate fire-fighting and rescue plans, including evacuation routes, allocation of fire-fighting resources, etc.

[0169] The system can also automatically trigger emergency response mechanisms based on the fire situation, such as starting fire-fighting equipment and sending alarms.

[0170] End of process: When all steps are completed and the visual 3D fire information is successfully displayed and interacted, the process ends.

[0171] This process ensures that the system can apply the fire situation to the second space model through digital twin technology, generate visual 3D fire information, and provide important support for fire fighting and rescue work.

[0172] In some preferred embodiments, the method may further include the following steps: based on the visualized 3D fire information combined with the second space model, route planning is performed through a preset artificial intelligence model to obtain a route planning result; wherein the route planning result includes an escape route and a rescue route.

[0173] For example, in some specific implementations, generating a route planning result may be implemented as follows:

[0174] Getting Started: The process starts with obtaining visual 3D fire information and a second spatial model, which was previously generated using digital twin technology and contains detailed fire conditions and spatial structures of the target building.

[0175] Loading a preset AI model: The system loads a preset AI model that is specifically designed for route planning in fire situations. This model may be built based on deep learning, reinforcement learning, or other advanced algorithms.

[0176] Input fire information and model data: The system inputs the visual 3D fire information and the data of the second space model into the artificial intelligence model. This information includes the location, intensity, spread trend of the fire, the structure of the building, and the distribution of obstacles.

[0177] Perform route planning calculations: The AI ​​model performs complex calculations and analyses based on the input data to generate the best escape and rescue routes. These routes take into account multiple factors such as the spread of the fire, the speed of evacuation of personnel, and the allocation of rescue resources.

[0178] Data validation and preprocessing (if input fails): If errors or incomplete data are encountered during the data input process, the system needs to perform data validation and preprocessing. This may include checking the completeness and accuracy of the data, as well as performing necessary data cleaning and conversion.

[0179] Generate escape and rescue routes: If the route planning calculation is successful, the system will generate escape and rescue routes. These routes are displayed to the user in a visual form, including 3D graphics and detailed step-by-step instructions.

[0180] Verify route feasibility: The system verifies the feasibility of the generated escape and rescue routes. This includes checking whether the routes avoid the fire area, whether they meet the evacuation time requirements, and whether there are sufficient rescue resources.

[0181] Adjust model parameters or re-plan (if validation fails): If route validation fails, the system may need to adjust the parameters of the AI ​​model or re-plan the route. This may involve adjusting the model weights, optimizing algorithm parameters, or considering more fire and building structure information.

[0182] Output route planning results: If the route verification passes, the system will output the final escape route and rescue route results. These results can be provided to building managers, firefighters or evacuees to guide them to take correct actions.

[0183] End: When all steps are completed and the route planning results are successfully output, the process ends.

[0184] In order to explain the principle of the technical solution of the present invention in detail, the overall process of the present invention is described below in combination with some specific embodiments. It is easy to understand that the following is an explanation of the technical principle of the present invention and cannot be regarded as a limitation of the present invention.

[0185] First of all, it should be explained that the present invention is mainly used in the perception cloud platform project. The project construction content is the Internet of Things platform and the digital twin application. The Internet of Things platform is responsible for the task of accessing the Internet of Things devices, receiving the device perception information, device alarms and other southbound information reported by the perception layer and notifying the digital twin application. After the digital twin application receives the perception information from the Internet of Things platform, it forms a visual 3D fire information based on the perception information to assist in fire fighting.

[0186] In some optional implementations, the main technical implementation scheme of the present invention includes four modules: space modeling, perception device dot, perception information analysis, and twin generation. The specific implementation is as follows:

[0187] 1. Space modeling (building modeling) module:

[0188] The modeling process is as follows Figure 5 As shown in the figure, this module mainly constructs a 3D structure diagram of the space based on the space shape, internal structure, fire escape location and other information, aiming to digitize the space information and visualize the space fire escape and office environment structure of each floor in the application interface, so as to accurately predict the fire situation in each space when a disaster occurs. Figure 3 shown.

[0189] 2. Perception device management module:

[0190] This module mainly locates the corresponding position of the sensing device installed in the space on the 3D space model. The present invention recommends that the communication protocol of the sensing device adopts wireless modules such as NB, zigbee, lora, 4 / 5G, and wifi, because in a fire, after the physical link of the wired communication is burned, the physical space and the twin model lose information synchronization and lack the basic information required for prediction. This module requires the installation of smoke sensors, door magnets, videos, temperature sensors and other equipment in key monitoring areas such as safety passages, office spaces, and computer rooms on a certain floor. In 3D, the situation in these areas can be monitored in real time.

[0191] Equipment management process: a. In process 1, when modeling the space, use BIM modeling tools to build a model of the space in proportion;

[0192] b. According to the actual installation drawings of the equipment, the longitude, latitude and elevation information of the installation location are checked in the BIM model. Some equipment has a positioning function, and the precise longitude and latitude of the equipment can be obtained on the IoT platform;

[0193] c. Use the CIM dotting function to accurately dot the equipment in the spatial model.

[0194] Through the above steps, the effect of completing the device dotting is as follows Figure 4 shown.

[0195] 3. Perception information analysis module:

[0196] This module mainly analyzes the fire information of each space based on the information reported by the sensing device and the offline information of the platform analysis device after the aggregation. It mainly includes two processes:

[0197] Daily monitoring process:

[0198] like Figure 6 As shown in the figure, when there is no disaster, the IoT platform receives the heartbeat and perception data reported regularly by the sensing device, such as the power, signal, and smoke sensing data of the sensing device. If the device does not report information for a period of time, or the command sent by the IoT platform to the device cannot be reached or feedback information is received, the IoT platform will analyze that the device is offline and provide maintenance information to the space security personnel;

[0199] Disaster prediction process:

[0200] like Figure 7 and Figure 8As shown in the figure, the occurrence of fire generally has a certain process. The prediction accuracy of this module depends on the coverage density and precise location of the equipment in module 2. When a fire occurs, smoke sensors and temperature sensors will output smoke alarms and temperature conditions, and analyze and locate the location of the fire. For other floors and locations that have not received smoke sensors and have no abnormal temperature rise, they are temporarily safe floors and locations; for locations where smoke sensors have reported, these are locations with smoke or covered by smoke; for places where the temperature rises, it is likely that the fire has started; for devices that have lost connection, these locations are likely to have a large fire because the equipment has been damaged and is not in a normal working physical environment. At the same time, for the lost equipment, the IoT platform actively sends instructions to it. If there is no response, the accuracy of the device's loss of connection can be increased; for the corresponding lost equipment, the platform also sends instructions to the surrounding equipment to search for the loss range to determine the surrounding fire range.

[0201] 4. Twin generation module:

[0202] This module depends on module 3. According to the analysis results, the smoke coverage position, fire position, fire floor, and temporary safe floor are marked on the spatial model. This provides a reference for guiding building fire escape. The effect example is as follows: Fig. 9 and Fig.10 shown.

[0203] To sum up, the present invention is mainly used in the perception cloud platform project. The project construction content is the Internet of Things platform and the digital twin application. The Internet of Things platform is responsible for the task of accessing the Internet of Things devices, receiving the device perception information, device alarms and other southbound information reported by the perception layer and notifying the digital twin application. After the digital twin application receives the perception information from the Internet of Things platform, it forms a visual 3D fire information based on the perception information to assist in firefighting.

[0204] Compared with the prior art, the present invention has at least the following beneficial effects:

[0205] 1. The application scenarios are wider. The original patent is only for ships, while this patent is applicable to space buildings and can even be implemented on ships.

[0206] 2. The range of sensing terminal selection is wider. The original patent relies on Raspberry Pi to realize real-time data transmission and image processing, identify flame pixels, recognize flames and alarm. This patent has no special dependence on fire identification and can have smoke, temperature and open flame identification.

[0207] 3. Added analysis and application of offline devices. The original patent only analyzes and warns real-time information reported by devices, but did not utilize the value of offline devices.

[0208] 4. This patent has a method of actively sending instructions to the equipment and to the surrounding equipment, and has the ability to provide more accurate judgment methods and predict the scope of the fire.

[0209] Compared with the prior art, the innovative points of the present invention include but are not limited to: 1. Analyze offline equipment information and predict fire conditions. 2. Use 3D models to layer equipment points in space and generate fire prediction information in space. 3. Actively send instructions to the lost equipment to determine the loss of connection, and actively send instructions to the peripheral equipment of the lost equipment to determine the scope.

[0210] On the other hand, Fig.11 As shown, an embodiment of the present invention provides a spatial fire prediction device 900, which may include:

[0211] The first module 901 is used to obtain structural information of a target building; obtain location information of a sensing device in the target building;

[0212] The second module 902 is used to perform building modeling based on the structural information to obtain a first spatial model of the target building;

[0213] The third module 903 is used to mark the equipment on the first space model according to the location information to obtain the second space model;

[0214] The fourth module 904 is used to obtain the operating data of all sensing devices in the target building, and determine the fire situation based on the operating data; the fire situation includes the smoke coverage position, the fire position and the safe position;

[0215] The fifth module 905 is used to apply the fire situation to the second spatial model through the digital twin to obtain visualized 3D fire information of the target building.

[0216] Optionally, the device may further include:

[0217] The sixth module is used to perform route planning based on the visualized 3D fire information combined with the second space model through a preset artificial intelligence model to obtain a route planning result;

[0218] Among them, the route planning results include escape routes and rescue routes.

[0219] The contents of the method embodiments of the present invention are all applicable to the device embodiments. The functions specifically implemented by the device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0220] On the other hand, an embodiment of the present invention further provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above sensitive information method when executing the computer program. The electronic device can be any intelligent terminal including a tablet computer, a car computer, etc.

[0221] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0222] like Fig.12 As shown, Fig.12 A specific example of the hardware structure of an electronic device 1000 according to an embodiment is shown. The electronic device 1000 includes:

[0223] The processor 1001 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present invention.

[0224] The memory 1002 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1002 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1002, and the processor 1001 calls and executes the network node population optimization method of the embodiment of the present invention;

[0225] Input / output interface 1003, used to implement information input and output;

[0226] The communication interface 1004 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.);

[0227] A bus 1005 , which transmits information between various components of the device (e.g., the processor 1001 , the memory 1002 , the input / output interface 1003 , and the communication interface 1004 );

[0228] The processor 1001 , the memory 1002 , the input / output interface 1003 and the communication interface 1004 are connected to each other in communication within the device via the bus 1005 .

[0229] The electronic device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0230] The contents of the method embodiments of the present invention are all applicable to the electronic device embodiments. The functions specifically implemented by the electronic device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0231] Another aspect of an embodiment of the present invention further provides a computer-readable storage medium, wherein the storage medium stores a program, and the program is executed by a processor to implement the above method.

[0232] It should be noted that the computer-readable medium shown in the embodiment of the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (Compact Disc Read to Only Memory, CD to ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0233] The contents of the method embodiments of the present invention are all applicable to the computer-readable storage medium embodiments. The functions specifically implemented by the computer-readable storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0234] The embodiment of the present invention also discloses a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. A processor of a computer device can read the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the above method.

[0235] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0236] It should be noted that, although several modules of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0237] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD to ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation of the present invention.

[0238] In some selectable embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the present invention is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Selectable embodiments are expected, wherein the order of various operations is changed and the sub-operation of a part for which is described as a larger operation is performed independently.

[0239] In addition, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present invention. More specifically, in view of the properties, functions and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional skills of the engineer. Therefore, those skilled in the art can implement the present invention set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present invention, which is determined by the full scope of the appended claims and their equivalents.

[0240] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0241] The logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by an instruction execution device, apparatus or device (such as a computer-based device, a device including a processor, or other device that can fetch instructions from an instruction execution device, apparatus or device and execute the instructions), or in conjunction with such instruction execution device, apparatus or device. For purposes of this specification, "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution device, apparatus or device, or in conjunction with such instruction execution device, apparatus or device.

[0242] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0243] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution device. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0244] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0245] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

[0246] The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the embodiments. Those skilled in the art can make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present invention.

Claims

1. A method for predicting spatial fire intensity, characterized in that: The following steps are involved: Obtaining structural information of a target building; obtaining location information of a sensing device in the target building; Perform building modeling based on the structural information to obtain a first spatial model of the target building; According to the position information, marking equipment on the first space model to obtain a second space model; Obtaining operation data of all the sensing devices in the target building, and determining the fire situation based on the operation data; the fire situation includes a smoke covered position, a fire position, and a safe position; The fire situation is applied to the second spatial model through digital twin to obtain visualized 3D fire information of the target building.

2. The method for predicting spatial fire intensity according to claim 1, characterized in that: The step of obtaining the location information of the sensing device in the target building comprises the following steps: Acquiring the location information according to the installation drawing of the sensing device; and / or, obtaining the location information according to a positioning function of the sensing device; The location information includes latitude, longitude and altitude information.

3. The spatial fire prediction method according to claim 1, characterized in that: The building modeling is performed based on the structural information to obtain the first spatial model of the target building, comprising the following steps: Based on the structural information of the target building, spatial information is digitized by using building information modeling technology to obtain the first spatial model of the target building; The structural information includes the spatial shape, internal structure and fire escape location of the target building.

4. The spatial fire prediction method according to claim 1, characterized in that: The step of marking equipment points on the first space model according to the position information to obtain a second space model comprises the following steps: According to the location information combined with the Internet of Things information of each of the sensing devices, the device marking corresponding to each of the sensing devices is completed on the first space model through the city information model technology to obtain the second space model.

5. The spatial fire prediction method according to claim 1, characterized in that: The step of obtaining the operating data of all the sensing devices in the target building comprises the following steps: Obtaining the operation data in response to the heartbeat and perception data regularly reported by the perception device; and / or, in response to an instruction issued to the sensing device, so that the sensing device returns feedback information, and obtaining the operating data based on the feedback information; Among them, when the sensing device fails to report the heartbeat and sensing data within a preset period and the sensing device fails to return the feedback information in response to the issued instruction, it is determined that the operating status information in the operating data of the sensing device is in a lost connection state.

6. The method for predicting spatial fire intensity according to claim 1, characterized in that: The operation data includes the operation status information and the perception information of the sensing device, and the perception information includes the smoke sensing information and the temperature sensing information; Determining the fire situation based on the operating data includes the following steps: When the smoke information of the sensing device is greater than a first smoke threshold, determining the position corresponding to the sensing device as the smoke coverage position; When the temperature information of the sensing device is greater than a first temperature threshold, determining that the position corresponding to the sensing device is the fire position; When the operating state information of the sensing device is a disconnected state, and the smoke sensing information of other sensing devices within a preset range of the sensing device is greater than a second smoke sensing threshold or the temperature sensing information is greater than a second temperature sensing threshold, determining that the position corresponding to the sensing device is the fire position; When the smoke information of the sensing device is less than a third smoke threshold or the temperature information is less than a third temperature threshold, it is determined that the position corresponding to the sensing device is the safe position.

7. The spatial fire prediction method according to claim 1, characterized in that: The method further comprises the following steps: Based on the visualized 3D fire information and the second spatial model, route planning is performed through a preset artificial intelligence model to obtain a route planning result; The route planning results include an escape route and a rescue route.

8. A spatial fire prediction device, characterized in that: include: The first module is used to obtain the structural information of the target building; Obtaining location information of sensing devices in the target building; The second module is used to perform building modeling based on the structural information to obtain a first spatial model of the target building; A third module is used to mark the equipment on the first space model according to the position information to obtain a second space model; The fourth module is used to obtain the operating data of all the sensing devices in the target building, and determine the fire situation based on the operating data; the fire situation includes the smoke coverage position, the fire position and the safe position; The fifth module is used to apply the fire situation to the second spatial model through digital twins to obtain visualized 3D fire information of the target building.

9. An electronic device, characterized in that: including a processor and a memory; The memory is used to store programs; The processor executes the program to implement the method according to any one of claims 1 to 7.

10. A computer storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to implement the method according to any one of claims 1 to 7 when executed by the processor.

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