Regional disaster prevention system using digital twin, method and computer-readable medium thereof

Abstract

To provide an area disaster prevention system and method using a digital twin, and a computer-readable medium thereof.SOLUTION: An area disaster prevention system includes a plurality of smart building devices and a smart city management platform. The plurality of smart building devices each transmit a plurality of pieces of building environment information of a corresponding building, and the smart city management platform receives the plurality of pieces of building environment information and determines whether or not a disaster has occurred in the building. According to the present invention, when a disaster occurs in the building, it is possible to effectively assess the extent of the impact of the disaster, notify the public and disaster prevention related organizations of the occurrence of the disaster in real time, and ensure the safety of people's lives.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to area disaster prevention technology, and in particular to an area disaster prevention system and method using a digital twin, and a computer-readable medium thereof. [Background technology]

[0002] Current smart building systems all employ independent and closed management, whereby immediately after a disaster occurs, the building sends collected data back to the control room, and the building manager or system automatically notifies rescue organizations and the public, enabling rescue and evacuation measures to be carried out. Summary of the Invention [Problem to be solved by the invention]

[0003] However, this kind of management flow has many problems. For example, if information cannot be communicated to related organizations and residents immediately after a disaster occurs, disaster relief efforts may be delayed and the time limit for rescue may be missed, or if building managers manually turn off disaster receivers without permission, the building disaster prevention system may become ineffective, resulting in enormous losses of life and property.

[0004] Therefore, providing regional disaster prevention technology that bidirectionally integrates smart building information and combines digital twin and Internet of Things technologies to obtain a safer and more reliable building disaster prevention system has become an extremely important problem that the industry is trying to solve. [Means for solving the problem]

[0005] In order to solve the problems in the prior art and provide related effects, the present invention provides a smart city management platform, comprising: a plurality of smart building devices respectively installed in a plurality of buildings, receiving detection information of corresponding buildings, and forming a plurality of building environment information respectively; and a smart city management platform communicatively connected to the plurality of smart building devices and receiving the plurality of building environment information respectively, the smart city management platform having a tree-like topology data structure of a regional building group, wherein the smart city management platform uses the tree-like topology data structure of the regional building group and the plurality of smart building devices to build a digital twin of the plurality of buildings in the smart city management platform, and records the plurality of building environment information according to the tree-like topology data structure of the regional building group, thereby The present invention provides a regional disaster prevention system using digital twins, comprising: a building information management module that integrates building environment information of a plurality of buildings into a corresponding digital twin of the plurality of buildings; an information analysis module that generates disaster analysis results for the plurality of buildings by performing analysis based on the building environment information or historical data integrated into the digital twin of the plurality of buildings, wherein, when the disaster analysis result for at least one of the plurality of buildings determines that a disaster has occurred, the information analysis module generates a disaster prevention command and disaster prevention information based on the disaster analysis result; and a disaster notification and warning module that transmits the disaster prevention command to at least one smart building device of the corresponding plurality of buildings based on the digital twin of the at least one of the plurality of buildings, and transmits the disaster prevention information to a disaster prevention device in the vicinity of at least one of the plurality of buildings.

[0006] The present invention relates to a process in which a plurality of smart building devices, which are respectively installed in a plurality of buildings, receive detection information of corresponding buildings and respectively form a plurality of building environment information; a smart city management platform respectively receives the plurality of building environment information; the smart city management platform constructs a digital twin of the plurality of buildings in the smart city management platform according to a tree-shaped topology data structure of a regional building group and the plurality of smart building devices; the smart city management platform integrates the plurality of building environment information into the digital twin of the corresponding plurality of buildings by recording the plurality of building environment information according to the tree-shaped topology data structure of the regional building group; and the smart city management platform records the plurality of building environment information into the digital twin of the corresponding plurality of buildings. The present invention further provides a method for preventing disasters in an area using a digital twin, the method comprising: generating a disaster analysis result for the plurality of buildings by performing an analysis based on building environment information or historical data; generating a disaster prevention command and disaster prevention information based on the disaster analysis result when the smart city management platform determines that a disaster has occurred in at least one of the plurality of buildings based on the disaster analysis result; transmitting the disaster prevention command to at least one smart building device of a corresponding plurality of buildings based on the digital twin of the at least one of the plurality of buildings by the smart city management platform; and transmitting the disaster prevention information to a disaster prevention device in the vicinity of at least one of the plurality of buildings based on the digital twin of the at least one of the plurality of buildings by the smart city management platform.

[0007] In one embodiment, the multiple smart building devices have building information of corresponding buildings, the smart city management platform has regional information of multiple regions and building information of the multiple buildings located in the multiple regions, and the smart city management platform builds a tree-like topology data structure of the regional building group based on the regional information of the multiple regions and the building information of the multiple buildings.

[0008] In one embodiment, the building information management module manages building information modeling graphics and four-dimensional geographic information system graphics of the plurality of buildings via a 3D graphical interface (or an application thereof) and visually represents the plurality of regions and the plurality of buildings based on the four-dimensional geographic information system graphics and combining the building information modeling graphics, terrain and climate systems.

[0009] In one embodiment, the building information management module represents the disaster analysis results analyzed by the information analysis module through the time dimension by the building information modeling graphics and the four-dimensional geographic information system graphics.

[0010] In one embodiment, each of the plurality of smart building devices is equipped with an equipment control module, and when any one of the plurality of smart building devices receives the disaster prevention command, the equipment control module of any one of the plurality of smart building devices controls the operation of evacuation and disaster prevention equipment of any one of the plurality of buildings based on the disaster prevention command.

[0011] In one embodiment, the smart city management platform further comprises a disaster information collection module used for collecting disaster information issued by meteorological agencies, disaster prevention centers, and / or local governments.

[0012] In one embodiment, the information analysis module generates a disaster analysis result for the plurality of buildings by performing an analysis based on the disaster information or the historical data.

[0013] The present invention further provides a computer-readable medium applied to a computer or computing device having a processor and / or memory, the computer or computing device executing a target program and the computer-readable medium via the processor and / or memory, and performing the above-mentioned area disaster prevention method using a digital twin when executing the computer-readable medium.

[0014] As described above, the regional disaster prevention system, method, and computer-readable medium using digital twin of the present invention mainly construct a tree-shaped topology data structure of a regional building group via smart building devices installed in multiple buildings and a back-end smart city management platform to construct a digital twin of a building group, thereby managing multiple buildings in an area. When a disaster occurs in a building, the smart building devices can quickly send information to the smart city management platform, and the smart city management platform can evaluate the disaster situation and the scope of the disaster of the building itself based on the digital twins of the multiple buildings, and further notify the public and disaster prevention-related organizations, control the operation of evacuation and disaster prevention equipment in the building, evacuate people, and ensure the safety of people's lives. [Brief description of the drawings]

[0015] [Figure 1] FIG. 1 is a schematic diagram of a regional disaster prevention system structure using a digital twin according to the present invention. [Figure 2A] FIG. 2 is a schematic diagram of a tree topology data structure for the Telegraph Building. [Figure 2B] FIG. 1 is a schematic diagram of a tree-like topology data structure for Taipei City. [Diagram 3] FIG. 1 is a schematic diagram of the building environment information upload flow of the area disaster prevention method using the digital twin of the present invention. [Figure 4]FIG. 1 is a schematic diagram of the data analysis flow of the area disaster prevention method using the digital twin of the present invention. [Diagram 5] FIG. 1 is a schematic diagram of another data analysis flow of the regional disaster prevention method using digital twins according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] The following description will explain the embodiments of the present invention based on specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention through the description in this specification.

[0017] In addition, the structures, proportions, dimensions, etc. shown in the drawings attached to this specification are explained in accordance with the contents of the specification so that those skilled in the art can understand, and do not limit the implementation of the present invention, and therefore have no substantial technical meaning, and any modification of the structure, change in proportionality, or adjustment of dimensions is within the scope of the technical content disclosed in the present invention as long as it does not affect the effects and purpose of the present invention. Furthermore, terms such as "one," "first," "second," "upper," and "lower" described in this specification are descriptions for easy description, and do not limit the feasible scope of the present invention, and changes or adjustments of their relative relationships can be considered as within the feasible scope of the present invention if there is no substantial change in the technical content.

[0018] 1 is a structural schematic diagram of a regional disaster prevention system 1 using digital twin according to the present invention. The regional disaster prevention system 1 includes a number of smart building devices 10 and a smart city management platform 20. Each of the smart building devices 10 includes a sensor data collection module 11, an equipment control module 12, and an intermediation module 13. The smart city management platform 20 includes a disaster information collection module 21, a database 22, a building information management module 23, an information analysis module 24, and a disaster notification and warning module 25.

[0019] Specifically, the multiple smart building devices 10 may be tablets, notebook computers, personal computers, or other electronic devices, and the smart city management platform 20 may be constructed in electronic devices having appropriate computing mechanisms, such as servers (e.g., general-purpose servers, file servers, storage unit servers, etc.) and computers. Each module in the smart building devices 10 and the smart city management platform 20 may be software, hardware, or firmware. In the case of hardware, it may be a processing unit, processor, computer, or server having data processing and computing capabilities, and in the case of software or firmware, it may include instructions executable by the processing unit, processor, computer, or server, and may be installed in the same hardware device or distributed across multiple different hardware devices.

[0020] The above-mentioned multiple smart building devices 10 are installed in multiple buildings (e.g., apartments, buildings), and each has the building information of the multiple buildings. The building information has a tree-like topology data structure, and the relationship between the building space, sensor equipment, and evacuation and disaster prevention equipment is established through each node of the tree-like topology data structure.

[0021] Specifically, FIG. 2A is a schematic diagram of a tree-shaped topology data structure (i.e., building information) of a Telegraph Building (i.e., a building). A smart building device 10 is installed in the Telegraph Building, and the smart building device 10 has a tree-shaped topology data structure (i.e., building information) of the Telegraph Building, and the tree-shaped topology data structure of the Telegraph Building includes at least the first to fifth floors of the Telegraph Building, building spaces such as Rooms 101, 102, and 103 and the lobby on the first floor, and devices such as a smoke sensor, a vibration sensor, and a door controller in Room 101. Thus, the tree-shaped topology data structure (i.e., building information) of the Telegraph Building is constructed through nodes formed by each floor, each building space, and each device. In addition, the tree-shaped topology data structure can flexibly expand the number of layers of vertical nodes and the number of horizontal nodes according to different building environments, and each node has a unique identification code.

[0022] In one embodiment, the sensor data collection module 11 is communicatively (electrically) connected to a plurality of sensors arranged in the interior and exterior spaces of the building, and forms building environment information by collecting sensor data detected by the plurality of sensors. The plurality of sensors include, but are not limited to, a smoke sensor, a temperature and humidity sensor, a camera, an infrared sensor, an acceleration sensor, a water level sensor, a gas sensor, and the like. The building environment information includes sensor data (sensor numerical values) such as smoke concentration, temperature and humidity, and photographed images of each floor and each building space in the building, but may be any type of sensor data.

[0023] In one embodiment, each floor and each building space in the building of the building environment information is associated with the sensor data via a unique identification code, so that it is possible to identify which floor or which building space the data detected by the multiple sensors corresponds to via the unique identification code, and each building environment information also includes a time stamp for subsequent analysis.

[0024] In one embodiment, the device control module 12 is communicatively (electrically) connected to a plurality of evacuation and disaster prevention devices and dynamically controls the plurality of evacuation and disaster prevention devices based on a disaster prevention command. The plurality of evacuation and disaster prevention devices include, but are not limited to, elevator controllers, door controllers, public address systems, fire shutter controllers, fire equipment controllers, emergency exit sign controllers, smoke exhaust equipment controllers, etc.

[0025] In one embodiment, the intermediary module 13 is a software gate module that integrates heterogeneous data formats, communication protocols and / or address conversions between the multiple smart building devices 10 and the smart city management platform 20 for data exchange between different communication protocols, converts the building environment information of the multiple smart building devices 10 into a unified format, and then transmits it to the smart city management platform 20.

[0026] The above-mentioned smart city management platform 20 is communicatively (electrically) connected to a plurality of smart building devices 10 by wired or wireless communication, and receives building environment information of the plurality of smart building devices 10 from the intermediary module 13 by a simple two-way data message transport layer protocol by managing and integrating a building group formed by the plurality of smart building devices 10. Furthermore, the smart city management platform 20 has area information of a plurality of areas and building information of a plurality of buildings located in the plurality of areas, the area information being a tree-like topology data structure, and establishing a relationship between a geographical area and a building through each node of the tree-like topology data structure.

[0027] Specifically, FIG. 2B is a schematic diagram of a tree-shaped topology data structure (i.e., region information) of Taipei City (i.e., region). The smart city management platform 20 has a tree-shaped topology data structure (i.e., region information) of Taipei City (i.e., region), and the tree-shaped topology data structure of Taipei City includes a number of districts (e.g., Daan District, Zhongzheng District), roads (e.g., Zhongxiao East Road, Section 3, Zhongxiao East Road, Section 4, etc.) in the districts (e.g., Daan District), and buildings (e.g., Dunnan Zhongxiao Xinsheng Building, Kaitong Hotel Building, etc.) in the roads (e.g., Zhongxiao East Road, Section 3). Thus, the tree-shaped topology data structure (i.e., region information) of Taipei City is constructed through the nodes formed by each district, each road, and each building. In addition, the tree-shaped topology data structure can flexibly expand the number of layers of vertical nodes and the number of horizontal nodes based on the different municipal divisions and the different number of buildings in the region, and each node has a unique identification code.

[0028] In one embodiment, the disaster information collection module 21 periodically (eg, every minute) collects disaster information sent from meteorological agencies, disaster prevention centers, and / or local governments.

[0029] In one embodiment, the database 22 stores a plurality of building environment information, disaster information and / or historical data, each of which is time stamped for subsequent analysis.

[0030] In one embodiment, the Building Information Management module 23 manages Building Information Modeling (BIM) graphics and 4D Global Information System (GIS) graphics for each building via a 3D graphical interface (or an application thereof) and visually represents the area and buildings based on 4D GIS graphics (i.e. based on longitude, latitude, altitude and time) combined with high accuracy Building Information Modeling (BIM) graphics, terrain and climate systems.

[0031] Furthermore, the building information management module 23 constructs a tree-shaped topology data structure of the district building group based on the building information and the region information (i.e., the building information and the region information in FIG. 2A and FIG. 2B are connected in series). The depth of the tree-shaped topology data structure of the district building group is not particularly limited, and the root node is at the top of this tree-shaped structure, and may be a city name or a country name depending on the scale of management, the parent node may be a district name, etc. depending on the definition of the root node, and the sibling node may be a building name depending on the definition content of the above node, and if you go deeper, the leaf nodes are each floor, each room, and each space of the building, each sensor, controllable evacuation and disaster prevention equipment, etc. Also, each node is attribute-described and stored in a lightweight JavaScript Object Notation (JSON) format, and the contents of the data attributes include a name, a unique identification code, a unique identification code of the upper and lower nodes, and a link connecting to external data.

[0032] In addition, the building information management module 23 uses the tree-shaped topology data structure of the district building group and the multiple smart building devices 10 to construct the digital twins of multiple buildings in the smart city management platform 20, so that the digital twins of multiple buildings can structurally establish relationships between each other through the design of the tree-shaped topology data structure of the district building group. In addition, the building information management module 23 records the building environment information uploaded from the multiple smart building devices 10 based on the tree-shaped topology data structure of the district building group, thereby integrating the building environment information uploaded from the multiple smart building devices 10 into the digital twins of the corresponding multiple buildings and storing them in the database 22. It should be noted here that, compared to the conventional technology that only records building information individually in the cloud, the present invention can clearly describe the relationship between multiple buildings through the digital twin.

[0033] More specifically, the building information management module 23 combines the visually represented buildings and areas with the tree-shaped topology data structure of the district building, and maps the building environment information of the multiple smart building devices 10 to the tree-shaped topology data structure of the district building group by using a unique identification code, i.e., records the multiple building environment information in each node (such as the first floor shown in FIG. 2A, the Daan district shown in FIG. 2B, etc.) of the tree-shaped topology data structure of the district building group, integrates the tree-shaped topology data structure of the district building group with the sensor data of each node from front to back, provides an intermediate connection for upper-layer applications, and further reads the overall structure and each node data attributes, data contents, sensor data, etc. to construct a digital twin of multiple buildings. As an example, when an administrator performs an operation such as clicking or inputting a command on the buildings and areas visually represented by the building information management module 23, the building information management module 23 provides the data attributes and data contents (e.g., sensor data) of each node based on the digital twin of multiple buildings and the tree-shaped topology data structure of the district building group.

[0034] In one embodiment, the information analysis module 24 acquires and analyzes the building environment information and the disaster information of the disaster information collection module 21 based on the digital twins of the multiple buildings from the database 22, thereby generating a disaster analysis result for the digital twins of the multiple buildings, and further determines whether a disaster has occurred in the building corresponding to the digital twins of the multiple buildings. When a disaster occurs in any one of the multiple buildings, the information analysis module 24 generates a disaster prevention command and disaster prevention information based on the disaster analysis result of any one of the multiple buildings.

[0035] Specifically, the information analysis module 24 performs short-term and long-term trend prediction using a time series analysis calculation method (including a weighted moving average calculation method). Short-term prediction predicts short-term disaster analysis results using a weighted moving average calculation method with historical data (including historical building environment information or disaster information) and current building environment information or disaster information, and the short-term disaster analysis results are used to predict the impact of disaster on each space in real time when a disaster occurs, and furthermore, disaster prevention commands and disaster prevention information are generated based on the short-term disaster analysis results. In addition, the weighted moving average calculation method is as follows.

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[0036] As an example, as shown in FIG. 2A, in the event of a fire, the sensor data collection module 11 collects the actual smoke concentration value (i.e., sensor data) output from the smoke sensor in the Telecom Building at a collection frequency of once per second to generate building environment information and transmits it to the smart city management platform 20 via the intermediation module 13. Then, the information analysis module 24 performs short-term trend prediction using a weighted moving average calculation method based on the historical data and the current building environment information. The actual smoke concentration value (i.e.,

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[0037] Furthermore, the long-term prediction is mainly targeted at the analysis of historical data (including historical building environment information and disaster information), and is mainly used to support decision-making. Because disaster events have spatial distribution and time series characteristics, the information analysis module 24 predicts long-term disaster analysis results by training a prediction model in a machine learning manner based on the relationship between building space and equipment (i.e., digital twin) constructed by the tree-like topology data structure of the area building group, in accordance with the historical data collected by the sensor equipment, and provides decision-making advice such as environmental improvement such as flood disaster prevention, and uses the building space distribution relationship constructed in the topology data structure, historical data, and historical disaster events as elements of the training model to identify the flooding probability of the area that the user wants to evaluate as a reference for decision-making on environmental improvement.

[0038] As an example, in the case of flooding, the information analysis module 24 evaluates the water level altitude of a certain area based on the amount of precipitation, and collects historical data (i.e., historical sensor data) such as the historical amount of precipitation and transitional changes of the area to be predicted based on the digital twin of the area building group, and since the water level altitude is proportional to the amount of precipitation and has a linear relationship according to natural law experience, the information analysis module 24 trains a prediction model using a linear regression calculation method in machine learning. The linear regression calculation method will be described below.

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[0039] Therefore, the information analysis module 24 can estimate a linear model using the linear regression calculation method as follows, using 10 pieces of historical data measured respectively by the rainfall and water level sensors, for example, historical rainfall (X) of 100, 113, 80, 73, 150, 123, 120, 92, 50, and 45 mm, and corresponding historical water level (Y) sensor values ​​of 5, 5.12, 4.77, 4.56, 8.3, 6.2, 5.8, 5, 3.8, and 3.3 cm.

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[0040] Therefore, the information analysis module 24 can use a linear model to predict the relationship between precipitation and water level, for example, a disaster analysis result that the water level will reach 19 cm when the precipitation reaches 450 mm, thereby providing the disaster analysis result as support for the implementation of related decisions.

[0041] Furthermore, the building information management module 23 combines four-dimensional GIS graphics with building information modeling (BIM) graphics to represent the disaster analysis results analyzed by the information analysis module 24 through the time dimension, and can display past, present and future environmental changes by dragging the time axis. For example, in the case of the occurrence of a building fire, by combining four-dimensional GIS graphics with building information modeling (BIM) graphics, the real-time situation at the disaster site, the past fire occurrence process and the area where the fire may spread in the future can be visualized.

[0042] In one embodiment, the disaster notification warning module 25 receives a disaster prevention command and disaster prevention information for any one of the multiple buildings generated by the information analysis module 24, and transmits the disaster prevention command for any one of the multiple buildings to the smart building device 10 for any one of the multiple buildings (i.e., the building where the disaster occurred). The disaster prevention command includes information such as the location information of the building (i.e., the building where the disaster occurred), evacuation and disaster prevention equipment to be controlled, the disaster point and / or floor, and the building location information is set by the information analysis module 24 based on the digital twins of the multiple buildings, and the disaster notification warning module 25 transmits the disaster prevention command to the smart building device 10 for any one of the multiple buildings based on the building location information.

[0043] In another embodiment, the disaster notification warning module 25 notifies the smart building device 10 of a nearby building of any one of the multiple buildings or the disaster prevention device of the public or disaster prevention related organization (such as, but not limited to, a mobile phone, a personal computer, or other device capable of receiving disaster prevention information) by cell broadcast or national level warning, thereby warning the occurrence of a building disaster or the disaster impact suffered by the building. The disaster prevention information includes information such as a notification area, a disaster location, and / or a floor, and the notification area is set by the information analysis module 24 based on the digital twin of the multiple buildings, and the disaster notification warning module 25 transmits the disaster prevention information to the smart building device 10 of a nearby building of any one of the multiple buildings or the disaster prevention device of the public or disaster prevention related organization based on the notification area. For example, as shown in FIG. 2B, when a fire occurs in the Telegraph Building, the information analysis module 24 determines that the nearby Century Pearl Building is the notification area based on the digital twin of the Telegraph Building, and the disaster notification warning module 25 transmits the disaster prevention information to the smart building device 10 of the Century Pearl Building based on the notification area. Therefore, by using the relationships between multiple buildings constructed using the digital twins of multiple buildings, it is possible to clearly determine areas where disasters may occur, and to provide advance notification and prevent the disaster from spreading.

[0044] Furthermore, the smart building device 10 in any one of the multiple buildings receives a disaster prevention command from the disaster notification and warning module 25, and the equipment control module 12 controls the operation of multiple evacuation and disaster prevention equipment based on the disaster prevention command.

[0045] As an example, as shown in FIG. 2A, the sensor data collection module 11 receives sensor data from the smoke sensor and temperature sensor in the Telecom Building to generate building environment information and transmits it to the smart city management platform 20 via the intermediation module 13. The information analysis module 24 then performs calculations using a moving average calculation method based on the historical data and the building environment information (including sensor data), and determines that the smoke concentration and temperature values ​​in Room 101 on the first floor of the Telecom Building have increased to a preset threshold, and that the values ​​of the lobby smoke and temperature sensors on the first floor of the Telecom Building also tend to increase, and then generates a disaster analysis result, for example, that smoke is spreading toward the lobby.

[0046] In this case, the information analysis module 24 generates a disaster prevention command and disaster prevention information, and notifies the public and disaster prevention-related organizations in the Telecom Building that a disaster has occurred through the disaster notification and warning module 25. The disaster notification and warning module 25 sends a disaster prevention command to the equipment control module 12 in the smart building device 10 of the Telecom Building, so that the equipment control module 12 controls, for example, the direction of evacuation direction signs based on the disaster prevention command, releases the door controllers near room 101 and the lobby, and controls the use of elevators to avoid stopping on one floor.

[0047] 3 is a schematic diagram of the building environment information upload flow of the area disaster prevention method using the digital twin according to the present invention. Please also refer to the explanations of FIG. 1, FIG. 2A, and FIG. 2B, and the method flow includes the following steps S31 to S35.

[0048] In step S31, the sensor data collection modules 11 in the smart building devices 10 of the multiple buildings collect sensor data from multiple sensors in each of the multiple buildings to generate multiple pieces of building environment information, respectively.

[0049] In step S32, the intermediary modules 13 in the smart building devices 10 of the multiple buildings convert the building environment information into a unified format and then send it to the smart city management platform 20.

[0050] In step S33, the smart city management platform 20 receives building environment information of multiple smart building devices 10.

[0051] In step S34, the database 22 of the smart city management platform 20 stores building environment information of multiple smart building devices 10 based on the digital twins of multiple buildings.

[0052] In step S35, the building information management module 23 of the smart city management platform 20 visually represents building environment information of multiple buildings in real time using Building Information Modeling (BIM) graphics and 4D Global Information System (GIS) graphics.

[0053] 4 is a schematic diagram of a data analysis flow of the regional disaster prevention method using a digital twin according to the present invention. Referring to Figures 1, 2A and 2B, the method flow includes the following steps S41 to S46.

[0054] In step S41, the smart city management platform 20 receives building environment information of multiple smart building devices 10.

[0055] In step S42, the information analysis module 24 in the smart city management platform 20 generates a disaster analysis result based on the building environment information and history data of the multiple smart building devices 10, and judges whether a disaster (e.g., a fire) has occurred in the multiple buildings based on the disaster analysis result. If a disaster has occurred in any one of the multiple buildings, proceed to step S43, and conversely, if no building has experienced a disaster, return to step S41. In one embodiment, taking a fire as an example, the sensor data collection module 11 receives sensor data from, for example, a smoke sensor and generates building environment information, and the information analysis module 24 judges whether the current building environment information exceeds a preset threshold value, and if, for example, the smoke actual value is greater than 100, the information analysis module 24 generates a disaster analysis result that a fire has already occurred.

[0056] In step S43, the disaster notification warning module 25 in the smart city management platform 20 sends a disaster prevention command to the smart building device 10 of the building where the disaster occurred, and the equipment control module 12 in the smart building device 10 controls the operation of evacuation and disaster prevention equipment (e.g., door controllers, etc.) in the building where the disaster occurred based on the disaster prevention command so that the people in the building can evacuate quickly.

[0057] In step S44, the disaster notification warning module 25 in the smart city management platform 20 transmits disaster prevention information to notify the public and disaster prevention-related organizations of information such as the disaster location and floor.

[0058] In step S45, the information analysis module 24 continuously analyzes the building environment information subsequently uploaded from the multiple smart building devices 10, and continuously generates disaster analysis results and their disaster prevention commands and disaster prevention information so as to control the operation of evacuation and disaster prevention equipment in the building where a disaster has occurred.

[0059] In step S46, the building information management module 23 of the smart city management platform 20 causes the smart city management platform 20 to display the disaster situation in real time through building information modeling (BIM) graphics and four-dimensional geographic information system (GIS) graphics.

[0060] Fig. 5 is a schematic diagram of another data analysis flow of the regional disaster prevention method using digital twin according to the present invention. The description will be given with reference to Fig. 1, Fig. 2A and Fig. 2B. The method flow includes the following steps S51 to S56.

[0061] In step S51, the disaster information collection module 21 in the smart city management platform 20 periodically (eg, every minute) collects disaster information (eg, natural disaster information) from meteorological agencies, disaster prevention centers, and / or local governments.

[0062] In step S52, the information analysis module 24 in the smart city management platform 20 generates a disaster analysis result based on the disaster information and the historical data, and determines whether a natural disaster (e.g., heavy rain) has occurred in the location area of ​​any one of the multiple buildings based on the disaster analysis result. If a natural disaster has occurred in the location area of ​​any one of the multiple buildings, proceed to step S53, and if a natural disaster has not occurred, return to step S51. In one embodiment, taking flood as an example, the disaster information collection module 21 collects disaster information such as one-hour rainfall or wind force from the government, and the information analysis module 24 predicts the occurrence probability of a disaster by analyzing the one-hour rainfall, wind force and duration at the time of the historical disaster occurrence based on the disaster information and historical data (e.g., water level data detected by a water level sensor in the past, etc.) using a weighted moving average calculation method, and generates an analysis result that a disaster has occurred.

[0063] In one embodiment, the information analysis module 24 analyzes the affected area and scope based on disaster information (location information of at least one of the regions where a natural disaster may occur) and the digital twins of the multiple buildings, and determines whether a natural disaster (e.g., heavy rain) has occurred in the location area of ​​at least one of the multiple buildings.

[0064] In step S53, the disaster notification warning module 25 in the smart city management platform 20 sends a disaster prevention command to the smart building device 10 of the affected building, and the equipment control module 12 in the smart building device 10 controls the operation of evacuation and disaster prevention equipment (e.g., water shutters, etc.) in the affected building based on the disaster prevention command to avoid flooding of the building.

[0065] In step S54, the disaster notification warning module 25 in the smart city management platform 20 transmits disaster prevention information to notify the public and disaster prevention-related organizations of information such as the disaster location and floor.

[0066] In step S55, the information analysis module 24 continuously analyzes the building environment information subsequently uploaded from the multiple smart building devices 10 or the disaster information subsequently collected by the disaster information collection module 21, and continuously generates disaster analysis results and their disaster prevention commands and disaster prevention information so as to control the operation of evacuation and disaster prevention equipment in the building where a disaster has occurred.

[0067] In step S56, the building information management module 23 of the smart city management platform 20 causes the smart city management platform 20 to display the disaster situation in real time through building information modeling (BIM) graphics and four-dimensional geographic information system (GIS) graphics.

[0068] The present invention further provides a computer readable medium for application to a computer or computing device having a processor (e.g., CPU, GPU, etc.) and / or memory and having instructions stored thereon, such that the computer or computing device executes the computer readable medium via the processor and / or memory, thereby performing the above-described methods and steps when executing the computer readable medium.

[0069] As described above, the regional disaster prevention system, method, and computer-readable medium using digital twin of the present invention construct a tree-shaped topology data structure of a regional building group through smart building devices installed in multiple buildings and a back-end smart city management platform to construct a digital twin of a building group, thereby managing multiple buildings in an area. When a disaster occurs in a building, the smart building devices can quickly send information to the smart city management platform, and the smart city management platform can evaluate the disaster situation and the scope of the disaster of the building itself based on the digital twins of the multiple buildings, and further notify the public and disaster prevention-related organizations, control the operation of evacuation and disaster prevention equipment in the building, evacuate people, and ensure the safety of people's lives.

[0070] In addition, the regional disaster prevention system, method, and computer-readable medium thereof using digital twin according to the present invention have the following advantages and technical effects.

[0071] First, the present invention utilizes a bidirectional connection flow between smart building devices of multiple buildings and a smart city management platform. Compared with the traditional independent management of buildings, the smart city management platform of the present invention manages multiple buildings through a tree-like topology data structure of a regional building group, constructs a digital twin of the building group, and configures relationships between multiple buildings, thereby improving the efficiency and accuracy of the management of the building group.

[0072] Second, instead of the traditional manual reporting, the present invention utilizes a reporting flow when a disaster occurs via smart building devices of multiple buildings and a smart city management platform, thereby avoiding delays in rescue and improving the efficiency of evacuation and rescue.

[0073] Third, the present invention uses a smart city management platform to perform analysis based on building environment information transmitted from smart building devices of multiple buildings, or disaster information transmitted from meteorological agencies, disaster prevention centers and / or local governments, and historical data, to simulate the disaster occurrence process in real time, assist policymakers in making decisions, and assist rescuers in dynamically controlling search and rescue and public evacuation routes, thereby reducing damage when a disaster occurs.

[0074] Fourth, the present invention enables the smart city management platform to generate disaster prevention commands and information based on disaster analysis results, thereby actively providing warnings to smart building devices in buildings when a disaster occurs, and notifying the public of cell broadcasts for evacuation.

[0075] Fifth, the present invention transmits large amounts of collected information by smart building devices of multiple buildings to a smart city management platform, and the smart city management platform uses its powerful computing power, storage capacity, decision-making analysis ability and management capabilities based on the digital twins of multiple buildings to provide decision-making assistance, rescue support, and control of evacuation and disaster prevention equipment, thereby reducing disaster losses.

[0076] The above examples are merely illustrative of the effects of the present invention and are not intended to limit the present invention, and various modifications and changes can be made to these embodiments by those skilled in the art without departing from the spirit of the present invention. Therefore, the scope of protection of the rights of the present invention is as set forth in the claims below. [Explanation of symbols]

[0077] 1. Regional disaster prevention system using digital twins 10. Smart Building Devices 11 Sensor data collection module 12 Device Control Module 13 Mediation Module 20 Smart City Management Platform 21 Disaster Information Collection Module 22 Database 23 Construction information management module 24 Information Analysis Module 25 Disaster Notification and Warning Module S31~S35, S41~S46, S51~S56 steps

Claims

1. A plurality of smart building devices are installed in a plurality of buildings, respectively, and receive detection information of the corresponding buildings to form a plurality of building environment information, respectively; A smart city management platform communicatively connected to the plurality of smart building devices and configured to receive the plurality of building environment information respectively, the smart city management platform having a tree-like topology data structure of a regional building group; The smart city management platform includes: A building information management module that constructs a digital twin of the plurality of buildings in the smart city management platform according to the tree-like topology data structure of the regional building group and the plurality of smart building devices, and records the plurality of building environment information according to the tree-like topology data structure of the regional building group, thereby integrating the plurality of building environment information into the corresponding digital twin of the plurality of buildings; an information analysis module that generates disaster analysis results for the plurality of buildings by performing analysis based on the plurality of building environment information or historical data integrated into the digital twins of the plurality of buildings, and generates disaster prevention commands and disaster prevention information based on the disaster analysis results when it is determined that a disaster has occurred in at least one of the plurality of buildings, the information analysis module performing short-term trend prediction using a weighted moving average calculation method based on the current building environment information and the historical data, and obtaining predicted short-term disaster analysis results; A disaster notification and warning module that transmits the disaster prevention command to at least one smart building device of the corresponding plurality of buildings based on the digital twin of at least one of the plurality of buildings, and transmits the disaster prevention information to a disaster prevention device in the vicinity of at least one of the plurality of buildings; Equipped with The plurality of smart building devices have building information of corresponding buildings; The smart city management platform has area information of a plurality of areas and construction information of the plurality of buildings located in the plurality of areas; The smart city management platform builds a tree-like topology data structure of the regional building group based on the regional information of the plurality of regions and the architectural information of the plurality of buildings; A regional disaster prevention system using digital twins, in which each node of the tree-like topology data structure of the regional building group is attributed and stored in a lightweight JavaScript Object Notation (JSON) format, and the contents of the data attributes include a name, a unique identification code, unique identification codes of upper and lower nodes, and links connecting to external data.

2. The regional disaster prevention system using digital twins as described in claim 1, characterized in that the building information management module manages building information modeling graphics and four-dimensional geographic information system graphics of the plurality of buildings through a 3D graphical interface, and visually represents the plurality of regions and the plurality of buildings by combining the building information modeling graphics, terrain and climate system based on the four-dimensional geographic information system graphics.

3. The regional disaster prevention system using digital twins as described in claim 2, characterized in that the construction information management module represents the disaster analysis results analyzed by the information analysis module via the time dimension through the construction information modeling graphics and the four-dimensional geographic information system graphics.

4. The regional disaster prevention system using a digital twin as described in claim 1, characterized in that each of the plurality of smart building devices is equipped with an equipment control module, and when any one of the plurality of smart building devices receives the disaster prevention command, the equipment control module of any one of the plurality of smart building devices controls the operation of evacuation and disaster prevention equipment of any one of the plurality of buildings based on the disaster prevention command.

5. A plurality of smart building devices respectively installed in a plurality of buildings receive detection information of corresponding buildings, and respectively form a plurality of building environment information; A smart city management platform receiving each of the plurality of building environment information; A smart city management platform constructs a digital twin of the plurality of buildings in the smart city management platform according to a tree-like topology data structure of a regional building group and the plurality of smart building devices; The smart city management platform records the plurality of building environment information according to a tree-like topology data structure of the regional building group, thereby integrating the plurality of building environment information into a digital twin of the corresponding plurality of buildings; The smart city management platform performs analysis based on the building environment information or historical data integrated into the digital twin of the buildings to generate disaster analysis results for the buildings, and performs short-term trend prediction based on the current building environment information and the historical data using a weighted moving average calculation method to obtain a predicted short-term disaster analysis result; When the disaster analysis result of at least one of the plurality of buildings determines that a disaster has occurred, the smart city management platform generates a disaster prevention command and disaster prevention information based on the disaster analysis result; The smart city management platform transmits the disaster prevention command to at least one smart building device of the corresponding building based on the digital twin of at least one of the buildings; A step in which the smart city management platform transmits the disaster prevention information to a disaster prevention device in the vicinity of at least one of the plurality of buildings based on a digital twin of at least one of the plurality of buildings; Equipped with The plurality of smart building devices have building information of corresponding buildings; The smart city management platform has area information of a plurality of areas and construction information of the plurality of buildings located in the plurality of areas; The smart city management platform builds a tree-like topology data structure of the regional building group based on the regional information of the plurality of regions and the architectural information of the plurality of buildings; The method for preventing regional disasters using digital twins is characterized in that each node of the tree-like topology data structure of the regional building group has attributes described and stored in a lightweight JavaScript Object Notation (JSON) format, and the contents of the data attributes include a name, a unique identification code, unique identification codes of upper and lower nodes, and a link connecting to external data.

6. The method for regional disaster prevention using digital twins as described in claim 5, characterized in that the smart city management platform manages architectural information modeling graphics and four-dimensional geographic information system graphics of the plurality of buildings through a 3D graphical interface, and visually represents the plurality of regions and the plurality of buildings by combining the architectural information modeling graphics, terrain and climate system based on the four-dimensional geographic information system graphics.

7. The method for regional disaster prevention using digital twins as described in claim 6, characterized in that the smart city management platform further includes a step of representing the disaster analysis results through the time dimension by the building information modeling graphics and the four-dimensional geographic information system graphics.

8. The method for preventing regional disasters using a digital twin as described in claim 5, further comprising a step in which, when any one of the plurality of smart building devices receives the disaster prevention command, any one of the plurality of smart building devices controls the operation of evacuation and disaster prevention equipment of any one of the plurality of buildings based on the disaster prevention command.

9. A computer-readable medium for application to a computing device or computer and having instructions stored thereon, the computer-readable medium being adapted to execute the method for area disaster prevention using a digital twin according to any one of claims 5 to 8.

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