Immovable cultural relic natural disaster risk monitoring method and device based on digital twinning
By constructing twin data and risk assessment models for immovable cultural relics using digital twin technology, the problem of difficulty in monitoring and preventing natural disaster risks in existing technologies has been solved, and efficient preventive protection of immovable cultural relics has been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
- Filing Date
- 2022-12-13
- Publication Date
- 2026-07-14
AI Technical Summary
Existing technologies are insufficient to effectively monitor and prevent natural disaster risks to immovable cultural relics, and the lack of systematic risk management methods results in high costs and poor effectiveness in the protection of cultural relics.
Digital twin technology is used to construct twin data of immovable cultural relics. Combined with real-scene 3D technology, geographic information and surveying technology and historical information, a natural disaster risk assessment model is constructed, and sensors and neural networks are used for risk judgment and early warning.
It has enabled preventive protection of immovable cultural relics, provided early warning and guidance, reduced the cost of cultural relic protection, and improved the accuracy and efficiency of risk monitoring.
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of cultural relic protection. More specifically, this invention relates to a method and device for monitoring the natural disaster risks of immovable cultural relics based on digital twins. Background Technology
[0002] my country possesses a vast number of immovable cultural relics, diverse in type, widely distributed, and of high value. Natural disaster risk monitoring is a core component of risk management. To prevent damage to immovable cultural relics from various risk sources, systematic research on natural disaster risk monitoring of immovable cultural relics has practical guiding significance for the preventive protection of these relics.
[0003] Digital twins can fully utilize data from physical models, sensors, and operational history to integrate simulation processes across multiple disciplines, physical quantities, scales, and probabilities. They mirror physical entities in a virtual information space, reflecting the entire lifecycle of their behavior, state, or activities. As a technology that synchronously depicts and simulates the physical world in digital space, it can not only map the natural disaster risks of immovable cultural relics but also provide feedback between natural disaster risks and the relics themselves. Therefore, using digital twin technology to monitor the natural disaster risks of immovable cultural relics may enhance preventative protection. Summary of the Invention
[0004] One objective of this invention is to provide a method and device for monitoring the natural disaster risks of immovable cultural relics based on digital twins, which can provide early warning and guidance for the preventive protection of immovable cultural relics.
[0005] To achieve these objectives and other advantages according to the present invention, according to one aspect of the present invention, a method for monitoring the natural disaster risk of immovable cultural relics based on digital twins is provided, comprising: S1: determining the natural disaster risk entity of the immovable cultural relic, the natural disaster risk entity including a natural disaster risk monitoring object, a natural disaster risk monitoring subject, and a natural disaster risk monitoring means; S2: constructing twin data of the immovable cultural relic, the natural disaster risk monitoring object, the natural disaster risk monitoring subject, and the natural disaster risk monitoring means; S3: acquiring monitoring data related to the immovable cultural relic; S4: using the twin data and the monitoring data to determine the risk of the immovable cultural relic.
[0006] Furthermore, the objects of natural disaster risk monitoring include disaster-causing factors, disaster-prone environments, the vulnerability of cultural relics, and the effectiveness of disaster prevention and mitigation; the subjects of natural disaster risk monitoring include the units and organizational systems implementing the monitoring; and the means of natural disaster risk monitoring include sensors, monitoring methods, and monitoring strategies.
[0007] Furthermore, twin data of the aforementioned natural disaster risk monitoring methods are constructed using real-scene 3D technology, geographic information and surveying technology, and historical information.
[0008] Furthermore, the monitoring data includes rainfall data, structural data of immovable cultural relics, crack data of immovable cultural relics, and environmental data.
[0009] Furthermore, a natural disaster risk assessment model is constructed based on the twin data and the monitoring data to assess the risk level, risk type, risk location, and risk impact of the immovable cultural relics.
[0010] Furthermore, monitoring data for a predetermined historical period is collected to establish a training set and a test set; the monitoring data from the previous time point and the twin data are used as inputs, and the monitoring data from the next time point is used as outputs to train the natural disaster risk assessment model; the twin data and the current monitoring data are input into the natural disaster risk assessment model to obtain the expected monitoring data, and the risk of immovable cultural relics is judged based on the expected monitoring data.
[0011] Furthermore, using monitoring data from a predetermined historical time period, establish the relationships between the risk level, the risk type, the risk location, the risk impact, and the monitoring data; calculate the expected risk level, the expected risk type, the expected risk location, and the expected risk impact based on the expected monitoring data and the relationships.
[0012] According to another aspect of the present invention, a digital twin-based device for monitoring the natural disaster risks of immovable cultural relics is also provided, comprising: a processor; a memory storing executable instructions; wherein the processor is configured to execute the executable instructions to perform the digital twin-based method for monitoring the natural disaster risks of immovable cultural relics.
[0013] The present invention has at least the following beneficial effects:
[0014] This invention first identifies the natural disaster risk entities of immovable cultural relics, then constructs twin data, and then acquires monitoring data related to the immovable cultural relics. By using the twin data and monitoring data to judge the risks of immovable cultural relics, it can provide early warning and guidance for the preventive protection of immovable cultural relics and reduce the protection costs of immovable cultural relics.
[0015] Other advantages, objectives and features of the present invention will become apparent in part from the following description, and in part from those skilled in the art through study and practice of the invention. Detailed Implementation
[0016] The present invention will now be described in further detail so that those skilled in the art can implement it based on the description.
[0017] It should be understood that terms such as “having,” “comprising,” and “including” as used herein do not exclude the presence or addition of one or more other elements or combinations thereof.
[0018] Embodiments of this application provide a method for monitoring the natural disaster risks of immovable cultural relics based on digital twins, including:
[0019] S1: Identify the natural disaster risk entities of immovable cultural relics. The natural disaster risk entities include natural disaster risk monitoring objects, natural disaster risk monitoring entities, and natural disaster risk monitoring methods. The natural disaster risk monitoring objects can be natural disaster risks of immovable cultural relics, the natural disaster risk monitoring entities can be entities that implement monitoring, and the natural disaster monitoring methods can be equipment, methods, etc. that implement monitoring.
[0020] S2: Construct twin data of the immovable cultural relics, the natural disaster risk monitoring objects, the natural disaster risk monitoring subjects, and the natural disaster risk monitoring methods; the twin data is a digital snapshot of the natural disaster risk of the immovable cultural relics at different times (before, during, and after the disaster). According to the digital twin theory, the virtual entity should be supported by a human-constructed geometric model, physical model, behavioral model, and rule model, and should have the same characteristic attributes as the research object;
[0021] S3: Obtain monitoring data related to the immovable cultural relic; the monitoring data includes various environmental factors affecting the immovable cultural relic;
[0022] S4: Use the twin data and the monitoring data to determine the risk of immovable cultural relics; optionally, use a neural network to establish a judgment model to make risk judgments and provide early warning and guidance for the preventive protection of immovable cultural relics.
[0023] In another embodiment, the natural disaster risk monitoring objects include disaster-causing factors, disaster-prone environments, the vulnerability of cultural relics, and the effectiveness of disaster prevention and mitigation; the natural disaster risk monitoring subjects include the units and organizational systems implementing the monitoring; and the natural disaster risk monitoring means include sensors, monitoring methods, and monitoring strategies. A complete description of natural disaster risk can be expressed using the following paradigm.
[0024]
[0025] D Y For natural disaster risk, H represents the hazard level of the risk source, and V represents the risk level of the natural disaster source. u V is vulnerable to risk carriers. dr For the effectiveness of disaster prevention and mitigation; V a As the value attribute of risk carrier, T s For the time scale, Ss The first three elements are causal factors, while the latter three are influencing factors; the influencing factors rely on the causal factors to affect the risk of natural disasters. Taking into account the natural disaster risk assessment model, this invention divides immovable natural disaster risk entities into disaster-causing factors, disaster-prone environments, and the vulnerability of cultural relics themselves, as well as others; disaster-causing factors include disaster type, intensity, historical disaster frequency, and disaster duration (temporal and spatial scales); the vulnerability of cultural relics themselves includes stability and carrier stability; the disaster-prone environment includes various terrains and surface cover; others include protection regulations, etc.
[0026] In another embodiment, a digital twin data system for the natural disaster risk monitoring method is constructed using real-scene 3D technology, geographic information and surveying technology, and historical information; a static model of the natural disaster risk of immovable cultural relics is constructed using BIM (or real-scene 3D technology), geographic information and surveying technology, and historical information. The static model mainly includes the geometric model of the immovable cultural relics, attribute constraints and characteristic information, disaster-causing information of the immovable cultural relics, and historical disaster-causing factors; a digital twin perception system is formed by real-time / semi-real-time acquisition of changes in the real world using high-resolution remote sensing technology, sensors, and information systems, including the health status of the immovable cultural relics, disaster situation, and environmental changes; and the digital model and physical model of the natural disaster risk of immovable cultural relics are made intelligent through interaction.
[0027] In another embodiment, the monitoring data includes rainfall data, structural data of immovable cultural relics, crack data of immovable cultural relics, and environmental data; the structural data includes the size of the immovable cultural relics, the relative positional relationship of each part, etc., and the environmental data includes data such as light, pollutants, humidity, and wind speed.
[0028] In another embodiment, a natural disaster risk assessment model is constructed based on the twin data and the monitoring data to assess the risk level, risk type, risk location, and risk impact of the immovable cultural relic.
[0029] In another embodiment, monitoring data for a predetermined historical time period is collected to establish a training set and a test set; the monitoring data at the previous time point and the twin data are used as inputs, and the monitoring data at the next time point is used as outputs to train the natural disaster risk assessment model; the twin data and the current monitoring data are input into the natural disaster risk assessment model to obtain expected monitoring data, and the risk of immovable cultural relics is judged based on the expected monitoring data;
[0030] This embodiment provides a method for establishing a natural disaster risk assessment model. Optionally, monitoring data within three years is collected and stored together with the corresponding time points, with part used as a training set and part as a test set. The monitoring data and twin data of the previous time point in the training set are input into the neural network model to obtain the expected monitoring data for the next time point. The risk of immovable cultural relics can be determined based on the expected monitoring data for the next time point. The interval between the previous time point and the next time point can be one week, ten days, one month, etc. The twin data of immovable cultural relics, natural disaster risk monitoring objects, natural disaster risk monitoring subjects, and natural disaster risk monitoring methods are quantified. The quantified results are combined with the monitoring data to form a digital sequence, which is then input as a vector into the neural network model. Optionally, an LSTM neural network is used for training.
[0031] In another embodiment, using monitoring data from a predetermined historical time period, relationships are established between the risk level, the risk type, the risk location, the risk impact, and the monitoring data, respectively. The expected risk level, expected risk type, expected risk location, and expected risk impact are calculated based on the expected monitoring data and the relationships. Optionally, the risk value is defined as a weighted sum of all monitoring data, the weights of each monitoring data are determined using monitoring data from a predetermined historical time period, and each risk level is defined based on the risk value. The risk value at each location is defined as a weighted sum of monitoring data at each location, the weights are determined using monitoring data from a predetermined historical time period, and the risk location is determined based on the risk value at each location. The risk impact is determined based on the magnitude of the risk value at each location. The risk type is determined based on the value of specific monitoring data.
[0032] Embodiments of this application also provide a digital twin-based device for monitoring the natural disaster risks of immovable cultural relics, comprising: a processor; and a memory storing executable instructions; wherein the processor is configured to execute the executable instructions to perform the digital twin-based method for monitoring the natural disaster risks of immovable cultural relics. This technical solution is based on the same inventive concept as the digital twin-based method for monitoring the natural disaster risks of immovable cultural relics, and reference can be made to the description in the method section. The device of this technical solution is not limited to implementation in a terminal, server, or cloud server.
[0033] The number of devices and processing scale described herein are for simplification of the invention. Applications, modifications, and variations of the present invention's method and apparatus for monitoring natural disaster risks of immovable cultural relics based on digital twins will be readily apparent to those skilled in the art.
[0034] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details.
Claims
1. A method for monitoring the natural disaster risks of immovable cultural relics based on digital twins, characterized in that, include: S1: Identify the natural disaster risk entities of immovable cultural relics, wherein the natural disaster risk entities include natural disaster risk monitoring objects, natural disaster risk monitoring subjects, and natural disaster risk monitoring methods; S2: Construct twin data of the immovable cultural relics, the natural disaster risk monitoring objects, the natural disaster risk monitoring subjects, and the natural disaster risk monitoring methods; S3: Obtain monitoring data related to the immovable cultural relic; S4: Use the twin data and the monitoring data to determine the risk of immovable cultural relics; The natural disaster risk monitoring targets include disaster-causing factors, disaster-prone environments, the vulnerability of cultural relics, and the effectiveness of disaster prevention and mitigation; the natural disaster risk monitoring entities include the units implementing the monitoring and organizational systems; and the natural disaster risk monitoring means include sensors, monitoring methods, and monitoring strategies. Twin data for the aforementioned natural disaster risk monitoring methods are constructed using real-scene 3D technology, geographic information and surveying technology, and historical information. The monitoring data includes rainfall data, structural data of immovable cultural relics, crack data of immovable cultural relics, and environmental data; A natural disaster risk assessment model is constructed based on the twin data and the monitoring data to assess the risk level, risk type, risk location, and risk impact of the immovable cultural relics. Collect monitoring data for a predetermined historical period to establish a training set and a test set; use the monitoring data from the previous time point and the twin data as input, and the monitoring data from the next time point as output, to train the natural disaster risk assessment model; input the twin data and the current monitoring data into the natural disaster risk assessment model to obtain the expected monitoring data, and determine the risk of immovable cultural relics based on the expected monitoring data.
2. The method for monitoring the natural disaster risk of immovable cultural relics based on digital twins as described in claim 1, characterized in that, Using monitoring data from a predetermined historical time period, establish relationships between the risk level, risk type, risk location, and risk impact and the monitoring data; calculate the expected risk level, expected risk type, expected risk location, and expected risk impact based on the expected monitoring data and the relationships.
3. A digital twin-based device for monitoring the natural disaster risks of immovable cultural relics, characterized in that: include: processor; Memory, which stores executable instructions; The processor is configured to execute the executable instructions to perform the method for monitoring the natural disaster risks of immovable cultural relics based on digital twins as described in any one of claims 1 to 2.