CN116383937A - Digital twin protection evaluation method for villages - Google Patents

Digital twin protection evaluation method for villages Download PDF

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CN116383937A
CN116383937A CN202310348808.8A CN202310348808A CN116383937A CN 116383937 A CN116383937 A CN 116383937A CN 202310348808 A CN202310348808 A CN 202310348808A CN 116383937 A CN116383937 A CN 116383937A
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张家葳
潘洌
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Guangxi University
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Abstract

The invention discloses a village digital twin protection evaluation method, which belongs to the technical field of village protection and comprises the following specific steps: (1) collecting and processing village data: the method comprises the steps of manually installing monitoring equipment, determining the geographic coordinates of the monitoring equipment as central geographic coordinates, establishing a space coordinate system by taking the central geographic coordinates as the center of a circle according to the monitoring range of the monitoring equipment, selecting one geographic coordinate point in the space coordinate system as a control point, guiding the control point to a pixel point in an imaging matrix of the monitoring equipment, and guiding the control point and the pixel point to projective transformation and coordinate transformation.

Description

一种村落数字孪生保护评估方法A village digital twin protection assessment method

技术领域technical field

本发明涉及村落保护技术领域,尤其涉及一种村落数字孪生保护评估方法。The invention relates to the technical field of village protection, in particular to a village digital twin protection evaluation method.

背景技术Background technique

通常所称的村落,是指形成较早,拥有较为丰富的物质和非物质文化遗产,具备一定历史、文化、科学、艺术、社会和经济价值,具有地域文化特色或者风貌的村落,而村落的保护范围为:传统格局、不可移动文物、传统建筑和历史环境要素,但是现有的村落保护方法,多采用人工普查工作,登记村落的数量、种类、分布、现状等情况,再建立村落保护管理信息系统,而数字孪生是充分利用物理模型、传感器更新和运行历史等数据,集成多学科、多物理量、多尺度、多概率的仿真过程,在虚拟空间中完成映射,从而反映相对应的实体装备的全生命周期过程,数字孪生是一种超越现实的概念,可以被视为一个或多个重要的、彼此依赖的装备系统的数字映射系统。The so-called villages usually refer to villages that were formed earlier, have relatively rich material and intangible cultural heritage, have certain historical, cultural, scientific, artistic, social and economic values, and have regional cultural characteristics or features. The scope of protection is: traditional layout, immovable cultural relics, traditional buildings and historical environmental elements. However, the existing village protection methods mostly use manual census work to register the number, type, distribution, and current situation of villages, and then establish village protection management. Information system, and digital twin is to make full use of data such as physical model, sensor update and operation history, integrate multi-disciplinary, multi-physical quantity, multi-scale, multi-probability simulation process, complete the mapping in the virtual space, so as to reflect the corresponding physical equipment The digital twin is a concept that transcends reality and can be regarded as a digital mapping system of one or more important and interdependent equipment systems.

经检索,中国专利号CN111723467A公开了一种传统村落数字孪生保护体系,虽然映射提高了保护体系的功效,但是其无法简化人工采集物理数据的工作,人工劳动强度无法进一步降低,同时无法准确定位数字孪生后各点的准确地理坐标,且安全评估结果阅读复杂,无法准确高效的阅览,并执行对应的保护方案,带来了方法缺陷的问题。After retrieval, Chinese Patent No. CN111723467A discloses a digital twin protection system for traditional villages. Although the mapping improves the effectiveness of the protection system, it cannot simplify the work of manual collection of physical data, and the labor intensity cannot be further reduced. At the same time, it is impossible to accurately locate digital twins. The exact geographic coordinates of each point after twinning, and the reading of the safety assessment results are complicated, and it is impossible to read accurately and efficiently, and implement the corresponding protection plan, which brings the problem of method flaws.

发明内容Contents of the invention

本发明的目的是为了解决现有技术中存在的缺陷,而提出的一种村落数字孪生保护评估方法。The purpose of the present invention is to solve the defects in the prior art, and propose a village digital twin protection evaluation method.

为了实现上述目的,本发明采用了如下技术方案:In order to achieve the above object, the present invention adopts the following technical solutions:

一种村落数字孪生保护评估方法,该村落数字孪生保护评估方法具体步骤如下:A village digital twin protection evaluation method, the specific steps of the village digital twin protection evaluation method are as follows:

(1)采集并处理村落数据:人工安装监控设备,确定监控设备的地理坐标作为中心地理坐标,并根据监控设备的监控范围,以中心地理坐标为圆心建立空间坐标系,再于空间坐标系中选择一个地理坐标点作为控制点,并将控制点对应监控设备的成像矩阵中的像素点,再将控制点和像素点导入投影变换和坐标转换,即可对应得到成像矩阵中其它像素点的地理坐标,从而可确定村落保护物的地理坐标及物理尺寸,再检测需保护物的多个特征的特征数据,并整合成数据集合,构建保护物的数据模型的结构;(1) Collect and process village data: manually install monitoring equipment, determine the geographic coordinates of the monitoring equipment as the central geographic coordinates, and establish a spatial coordinate system with the central geographic coordinates as the center of the circle according to the monitoring range of the monitoring equipment. Select a geographical coordinate point as the control point, and correspond the control point to the pixel in the imaging matrix of the monitoring device, and then import the control point and the pixel into the projection transformation and coordinate transformation to obtain the geographic coordinates of other pixels in the imaging matrix Coordinates, so as to determine the geographical coordinates and physical dimensions of the protected objects in the village, and then detect the characteristic data of multiple features of the protected objects, and integrate them into a data set to build the structure of the data model of the protected objects;

(2)构建数字孪生模型:在保护物的数据模型中抽象出静态常量数据和动态变量数据,并依据预设映射关系,构建预保护物数字孪生模型,再优化预保护物数字孪生模型,即得保护物数字孪生模型;(2) Build a digital twin model: abstract static constant data and dynamic variable data in the data model of the protected object, and build a digital twin model of the pre-protected object according to the preset mapping relationship, and then optimize the digital twin model of the pre-protected object, that is Obtain a digital twin model of protected objects;

(3)创建保护方案库:通过云端检索村落保护物的保护方案,列举保护方案,并爬取保护方案中对应保护物的多个特征数据,再以数据集合为依据计算多个特征数据的相似度值,按从大到小的顺序排列相似度值,留取前2~5种相似度值对应的保护方案,并与保护物建立映射关系,存储形成保护方案库;(3) Create a protection scheme library: retrieve the protection schemes of village protected objects through the cloud, list the protection schemes, and crawl multiple characteristic data of corresponding protected objects in the protection scheme, and then calculate the similarity of multiple characteristic data based on the data set Arrange the similarity values in descending order, retain the protection schemes corresponding to the first 2 to 5 similarity values, establish a mapping relationship with the protected objects, and store them to form a protection scheme library;

(4)构建危险行为对象:人工模拟危险行为对象,并采集危险行为对象的多个特征的特征数据,建立危险行为对象数字孪生模型,再采集危险行为对象的移动轨迹数据,将移动轨迹数据代入危险行为对象数字孪生模型,生成危险行为对象移动动态数据;(4) Construct dangerous behavior objects: artificially simulate dangerous behavior objects, collect characteristic data of multiple characteristics of dangerous behavior objects, establish a digital twin model of dangerous behavior objects, and then collect movement trajectory data of dangerous behavior objects, and substitute the movement trajectory data into The digital twin model of dangerous behavior objects generates moving dynamic data of dangerous behavior objects;

(5)安全评估:基于保护物数字孪生模型对所述危险行为对象移动动态数据进行处理,生成感知数据,再将感应数据对比保护规划数据,若感应数据大于保护规划数据,则安全,返回步骤(4),若感应数据小于保护规划数据,则不安全;(5) Safety assessment: Based on the digital twin model of the protected object, process the dynamic data of the movement of the dangerous behavior object to generate sensing data, and then compare the sensing data with the protection planning data. If the sensing data is greater than the protection planning data, it is safe, and return to the step (4), if the sensing data is smaller than the protection planning data, it is not safe;

(6)生成评估报告:步骤(5)结束后,再判断感应数据的所属范围,若感应数据低于预定阈值的最小值,则产生提示弹窗,若感应数据属于预定阈值,则产生警报指令,若感应数据高于预定阈值,则产生应急指令,同时提取保护物名称,再依据映射关系,从保护方案库中提取对应的保护方案,整合形成评估报告。(6) Generate an evaluation report: After step (5), judge the scope of the sensing data. If the sensing data is lower than the minimum value of the predetermined threshold, a prompt pop-up window will be generated. If the sensing data belongs to the predetermined threshold, an alarm command will be generated. , if the sensing data is higher than the predetermined threshold, an emergency command will be generated, and the name of the protected object will be extracted at the same time, and then the corresponding protection plan will be extracted from the protection plan library according to the mapping relationship, and an evaluation report will be formed by integration.

进一步地,步骤(1)中所述投影变换和坐标转换的基本方法采用数值解析变换法。Further, the basic method of projection transformation and coordinate transformation described in step (1) adopts numerical analysis transformation method.

进一步地,步骤(1)中所述确定村落保护物的地理坐标及物理尺寸具体操作为:Further, the specific operation of determining the geographic coordinates and physical size of the village protected object described in step (1) is:

S1、确定村落保护物所涵盖的像素点,从而确定村落保护物所涵盖的地理坐标;S1. Determine the pixel points covered by the village protection object, so as to determine the geographical coordinates covered by the village protection object;

S2、提取地理坐标中的同轴数字,并取绝对值相加,即为村落保护物的物理尺寸。S2. Extract the coaxial numbers in the geographic coordinates, and add the absolute values to get the physical size of the village protected objects.

进一步地,步骤(1)中所述多个特征的特征数据,并整合成数据集合即为属性数据。Further, the feature data of the multiple features in step (1) are integrated into a data set, which is the attribute data.

进一步地,步骤(1)中所述构建保护物的数据模型的结构过程具体操作为:Further, the specific operation of the structural process of constructing the data model of the protected object described in step (1) is:

SS1、确定保护物实体的数据集合,数据集合包括属性名称及数据类型;SS1. Determine the data set of the protected object entity, the data set includes attribute names and data types;

SS2、对于每一个特征,统计特征在多个属性数据中的原始分布及分布参数;SS2. For each feature, the original distribution and distribution parameters of the statistical feature in multiple attribute data;

SS3、根据分布参数对特征值进行调整,使得调整后的特征在多个属性数据中的分布为正态分布,并输入至神经网络模型中进行训练。SS3. Adjust the feature value according to the distribution parameters, so that the distribution of the adjusted feature in multiple attribute data is a normal distribution, and input it into the neural network model for training.

进一步地,步骤(3)中所述计算多个特征数据的相似度值采用相似性度量算法,即ROST SEAT算法。Further, the calculation of the similarity values of the plurality of feature data in step (3) adopts a similarity measurement algorithm, that is, the ROST SEAT algorithm.

进一步地,所属保护物数字孪生模型和危险行为对象数字孪生模型均可通过可视化模块进行查看。Furthermore, the digital twin model of the protected object and the digital twin model of the dangerous behavior object can be viewed through the visualization module.

相比于现有技术,本发明的有益效果在于:Compared with the prior art, the beneficial effects of the present invention are:

1、本发明通过确定监控设备中成像矩阵的像素点的地理坐标,再确定村落保护物所涵盖的像素点,从而确定村落保护物所涵盖的地理坐标,提取地理坐标中的同轴数字,并取绝对值相加,即为村落保护物的物理尺寸,从而可确定村落保护物的地理坐标及物理尺寸,无需人工测绘村落保护物的地理坐标及物理尺寸,简化了人工采集物理数据的工作,人工劳动强度也进一步降低,同时可准确定位数字孪生后各点的准确地理坐标。1. The present invention determines the geographic coordinates covered by the village protected objects by determining the geographic coordinates of the pixel points of the imaging matrix in the monitoring equipment, and then determines the pixel points covered by the village protected objects, extracts the coaxial numbers in the geographical coordinates, and Adding the absolute values is the physical size of the village protected object, so that the geographical coordinates and physical size of the village protected object can be determined without manual surveying and mapping of the geographical coordinates and physical size of the village protected object, which simplifies the work of manual collection of physical data. The intensity of manual labor is further reduced, and at the same time, the exact geographic coordinates of each point after the digital twin can be accurately located.

2、本发明通过云端检索村落保护物的保护方案,列举保护方案,并爬取保护方案中对应保护物的多个特征数据,再以数据集合为依据计算多个特征数据的相似度值,按从大到小的顺序排列相似度值,留取前2~5种相似度值对应的保护方案,并与保护物建立映射关系,存储形成保护方案库,从而为后续村落保护物的保护提供对应的保护方案,再构建危险行为对象,并进行安全评估,同时判断村落保护物是否安全,若安全,则返回构建危险行为对象,若不安全,则判断感应数据的所属范围,若感应数据低于预定阈值的最小值,则产生提示弹窗,若感应数据属于预定阈值,则产生警报指令,若感应数据高于预定阈值,则产生应急指令,同时提取保护物名称,再依据映射关系,从保护方案库中提取对应的保护方案,整合形成评估报告,达到简化安全评估结果阅读的目的,可准确高效的阅览,并执行对应的保护方案。2. The present invention retrieves protection schemes of protected objects in villages through the cloud, enumerates the protection schemes, and crawls multiple feature data corresponding to protected objects in the protection scheme, and then calculates the similarity value of multiple feature data based on the data set, according to Arrange the similarity values in order from large to small, retain the protection schemes corresponding to the first 2 to 5 similarity values, establish a mapping relationship with the protected objects, and store them to form a protection scheme library, so as to provide correspondence for the protection of subsequent village protected objects Then build a dangerous behavior object, and conduct a safety assessment, and judge whether the village protection is safe. If it is safe, return to construct the dangerous behavior object. If it is not safe, judge the range of the sensing data. If the sensing data is lower than The minimum value of the predetermined threshold will generate a pop-up window. If the sensing data belongs to the predetermined threshold, an alarm command will be generated. If the sensing data is higher than the predetermined threshold, an emergency command will be generated. At the same time, the name of the protected object will be extracted, and then according to the mapping relationship, from the protection The corresponding protection schemes are extracted from the scheme library, and integrated to form an assessment report to achieve the purpose of simplifying the reading of security assessment results, which can be read accurately and efficiently, and the corresponding protection schemes can be executed.

附图说明Description of drawings

附图用来提供对本发明的进一步理解,并且构成说明书的一部分,与本发明的实施例一起用于解释本发明,并不构成对本发明的限制。The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the description, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention.

图1为本发明提出的一种村落数字孪生保护评估方法的流程示意图。Fig. 1 is a schematic flowchart of a village digital twin protection evaluation method proposed by the present invention.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

在本发明的描述中,需要理解的是,术语“上”、“下”、“前”、“后”、“左”、“右”、“顶”、“底”、“内”、“外”等指示的方位或位置关系为基于附图所示的方位或位置关系,仅是为了便于描述本发明和简化描述,而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作,因此不能理解为对本发明的限制。In describing the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", " The orientation or positional relationship indicated by "outside", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, so as to Specific orientation configurations and operations, therefore, are not to be construed as limitations on the invention.

实施例1:Example 1:

请参阅图1,本发明提供一种技术方案:一种村落数字孪生保护评估方法,该村落数字孪生保护评估方法具体步骤如下:Please refer to Figure 1, the present invention provides a technical solution: a village digital twin protection evaluation method, the specific steps of the village digital twin protection evaluation method are as follows:

(1)采集并处理村落数据:人工安装监控设备,确定监控设备的地理坐标作为中心地理坐标,并根据监控设备的监控范围,以中心地理坐标为圆心建立空间坐标系,再于空间坐标系中选择一个地理坐标点作为控制点,并将控制点对应监控设备的成像矩阵中的像素点,再将控制点和像素点导入投影变换和坐标转换,即可对应得到成像矩阵中其它像素点的地理坐标,从而可确定村落保护物的地理坐标及物理尺寸,再检测需保护物的多个特征的特征数据,并整合成数据集合,构建保护物的数据模型的结构。(1) Collect and process village data: manually install monitoring equipment, determine the geographic coordinates of the monitoring equipment as the central geographic coordinates, and establish a spatial coordinate system with the central geographic coordinates as the center of the circle according to the monitoring range of the monitoring equipment. Select a geographical coordinate point as the control point, and correspond the control point to the pixel in the imaging matrix of the monitoring device, and then import the control point and the pixel into the projection transformation and coordinate transformation to obtain the geographic coordinates of other pixels in the imaging matrix Coordinates, so as to determine the geographical coordinates and physical size of the protected objects in the village, and then detect the characteristic data of multiple features of the protected objects, and integrate them into a data set to build the structure of the data model of the protected objects.

所述投影变换和坐标转换的基本方法采用数值解析变换法,所述确定村落保护物的地理坐标及物理尺寸具体操作为:The basic method of the projection transformation and coordinate transformation adopts the numerical analysis transformation method, and the specific operation of determining the geographic coordinates and physical dimensions of the village protected objects is as follows:

S1、确定村落保护物所涵盖的像素点,从而确定村落保护物所涵盖的地理坐标;S1. Determine the pixel points covered by the village protection object, so as to determine the geographical coordinates covered by the village protection object;

S2、提取地理坐标中的同轴数字,并取绝对值相加,即为村落保护物的物理尺寸。S2. Extract the coaxial numbers in the geographic coordinates, and add the absolute values to get the physical size of the village protected objects.

具体的,在采集村落数据的过程中,人工安装监控设备,并确定监控设备中成像矩阵的像素点的地理坐标,再确定村落保护物所涵盖的像素点,从而确定村落保护物所涵盖的地理坐标,提取地理坐标中的同轴数字,并取绝对值相加,即为村落保护物的物理尺寸,从而可确定村落保护物的地理坐标及物理尺寸,无需人工测绘村落保护物的地理坐标及物理尺寸,简化了人工采集物理数据的工作,人工劳动强度也进一步降低,同时可准确定位数字孪生后各点的准确地理坐标。Specifically, in the process of collecting village data, the monitoring equipment is manually installed, and the geographic coordinates of the pixels of the imaging matrix in the monitoring equipment are determined, and then the pixels covered by the village protection objects are determined, so as to determine the geographical area covered by the village protection objects. Coordinates, extract the coaxial numbers in the geographic coordinates, and add the absolute values, which is the physical size of the village protected objects, so that the geographical coordinates and physical size of the village protected objects can be determined, without the need for manual surveying and mapping of the geographical coordinates of the village protected objects and The physical size simplifies the work of manual collection of physical data, and further reduces the labor intensity. At the same time, it can accurately locate the exact geographic coordinates of each point after the digital twin.

实施例2:Example 2:

请参阅图1,本发明提供一种技术方案:一种村落数字孪生保护评估方法,(2)构建数字孪生模型:在保护物的数据模型中抽象出静态常量数据和动态变量数据,并依据预设映射关系,构建预保护物数字孪生模型,再优化预保护物数字孪生模型,即得保护物数字孪生模型;Please refer to Fig. 1, the present invention provides a technical solution: a village digital twin protection evaluation method, (2) build a digital twin model: abstract static constant data and dynamic variable data in the data model of the protected object, and Set up the mapping relationship, construct the digital twin model of the pre-protected object, and then optimize the digital twin model of the pre-protected object to obtain the digital twin model of the protected object;

(3)创建保护方案库:通过云端检索村落保护物的保护方案,列举保护方案,并爬取保护方案中对应保护物的多个特征数据,再以数据集合为依据计算多个特征数据的相似度值,按从大到小的顺序排列相似度值,留取前2~5种相似度值对应的保护方案,并与保护物建立映射关系,存储形成保护方案库;(3) Create a protection scheme library: retrieve the protection schemes of village protected objects through the cloud, list the protection schemes, and crawl multiple characteristic data of corresponding protected objects in the protection scheme, and then calculate the similarity of multiple characteristic data based on the data set Arrange the similarity values in descending order, retain the protection schemes corresponding to the first 2 to 5 similarity values, establish a mapping relationship with the protected objects, and store them to form a protection scheme library;

(4)构建危险行为对象:人工模拟危险行为对象,并采集危险行为对象的多个特征的特征数据,建立危险行为对象数字孪生模型,再采集危险行为对象的移动轨迹数据,将移动轨迹数据代入危险行为对象数字孪生模型,生成危险行为对象移动动态数据;(4) Construct dangerous behavior objects: artificially simulate dangerous behavior objects, collect characteristic data of multiple characteristics of dangerous behavior objects, establish a digital twin model of dangerous behavior objects, and then collect movement trajectory data of dangerous behavior objects, and substitute the movement trajectory data into The digital twin model of dangerous behavior objects generates moving dynamic data of dangerous behavior objects;

(5)安全评估:基于保护物数字孪生模型对所述危险行为对象移动动态数据进行处理,生成感知数据,再将感应数据对比保护规划数据,若感应数据大于保护规划数据,则安全,返回步骤(4),若感应数据小于保护规划数据,则不安全;(5) Safety assessment: Based on the digital twin model of the protected object, process the dynamic data of the movement of the dangerous behavior object to generate sensing data, and then compare the sensing data with the protection planning data. If the sensing data is greater than the protection planning data, it is safe, and return to the step (4), if the sensing data is smaller than the protection planning data, it is not safe;

(6)生成评估报告:步骤(5)结束后,再判断感应数据的所属范围,若感应数据低于预定阈值的最小值,则产生提示弹窗,若感应数据属于预定阈值,则产生警报指令,若感应数据高于预定阈值,则产生应急指令,同时提取保护物名称,再依据映射关系,从保护方案库中提取对应的保护方案,整合形成评估报告。(6) Generate an evaluation report: After step (5), judge the scope of the sensing data. If the sensing data is lower than the minimum value of the predetermined threshold, a prompt pop-up window will be generated. If the sensing data belongs to the predetermined threshold, an alarm command will be generated. , if the sensing data is higher than the predetermined threshold, an emergency command will be generated, and the name of the protected object will be extracted at the same time, and then the corresponding protection plan will be extracted from the protection plan library according to the mapping relationship, and an evaluation report will be formed by integration.

具体的,在村落保护物保护评估的过程中,建立保护物数字孪生模型,再通过云端检索村落保护物的保护方案,列举保护方案,并爬取保护方案中对应保护物的多个特征数据,再以数据集合为依据计算多个特征数据的相似度值,按从大到小的顺序排列相似度值,留取前2~5种相似度值对应的保护方案,并与保护物建立映射关系,存储形成保护方案库,从而为后续村落保护物的保护提供对应的保护方案,再构建危险行为对象,并进行安全评估,同时判断村落保护物是否安全,若安全,则返回构建危险行为对象,若不安全,则判断感应数据的所属范围,若感应数据低于预定阈值的最小值,则产生提示弹窗,若感应数据属于预定阈值,则产生警报指令,若感应数据高于预定阈值,则产生应急指令,同时提取保护物名称,再依据映射关系,从保护方案库中提取对应的保护方案,整合形成评估报告,达到简化安全评估结果阅读的目的,可准确高效的阅览,并执行对应的保护方案。Specifically, in the process of evaluating the protection of protected objects in the village, a digital twin model of the protected object is established, and then the protection plan of the protected object in the village is retrieved through the cloud, the protection plan is listed, and multiple characteristic data of the corresponding protected object in the protection plan are crawled. Then calculate the similarity values of multiple characteristic data based on the data set, arrange the similarity values in order from large to small, retain the protection schemes corresponding to the first 2 to 5 similarity values, and establish a mapping relationship with the protected objects , store and form a protection plan library, so as to provide corresponding protection plans for the protection of subsequent village protected objects, and then construct dangerous behavior objects, and conduct safety assessments, and at the same time judge whether the village protected objects are safe. If safe, return to construct dangerous behavior objects. If it is not safe, judge the range of the sensing data. If the sensing data is lower than the minimum value of the predetermined threshold, a prompt pop-up window will be generated. If the sensing data belongs to the predetermined threshold, an alarm command will be generated. If the sensing data is higher than the predetermined threshold, then Generate emergency instructions, extract the name of the protected object at the same time, and then extract the corresponding protection plan from the protection plan library according to the mapping relationship, and integrate and form an assessment report to achieve the purpose of simplifying the reading of safety assessment results, which can be read accurately and efficiently, and execute corresponding actions protection scheme.

本发明的工作原理及使用流程:当需要采集村落数据时,人工安装监控设备,并确定监控设备中成像矩阵的像素点的地理坐标,再确定村落保护物所涵盖的像素点,从而确定村落保护物所涵盖的地理坐标,提取地理坐标中的同轴数字,并取绝对值相加,即为村落保护物的物理尺寸,从而可确定村落保护物的地理坐标及物理尺寸,无需人工测绘村落保护物的地理坐标及物理尺寸,简化了人工采集物理数据的工作,人工劳动强度也进一步降低,同时可准确定位数字孪生后各点的准确地理坐标,再检测需保护物的多个特征的特征数据,并整合成数据集合,构建保护物的数据模型的结构;The working principle and application process of the present invention: when it is necessary to collect village data, manually install the monitoring equipment, and determine the geographic coordinates of the pixels of the imaging matrix in the monitoring equipment, and then determine the pixels covered by the village protection objects, so as to determine the village protection The geographic coordinates covered by the object, extract the coaxial numbers in the geographic coordinates, and add the absolute value, which is the physical size of the village protection object, so that the geographical coordinates and physical size of the village protection object can be determined without manual surveying and mapping of the village protection The geographical coordinates and physical size of the object simplify the work of manual collection of physical data, and the labor intensity is further reduced. At the same time, the exact geographic coordinates of each point after the digital twin can be accurately located, and then the characteristic data of multiple features of the object to be protected can be detected. , and integrate it into a data set to construct the structure of the data model of the protected object;

当需要对村落保护物进行保护评估时,建立保护物数字孪生模型,再通过云端检索村落保护物的保护方案,列举保护方案,并爬取保护方案中对应保护物的多个特征数据,再以数据集合为依据计算多个特征数据的相似度值,按从大到小的顺序排列相似度值,留取前2~5种相似度值对应的保护方案,并与保护物建立映射关系,存储形成保护方案库,从而为后续村落保护物的保护提供对应的保护方案,再构建危险行为对象,并进行安全评估,同时判断村落保护物是否安全,若安全,则返回构建危险行为对象,若不安全,则判断感应数据的所属范围,若感应数据低于预定阈值的最小值,则产生提示弹窗,若感应数据属于预定阈值,则产生警报指令,若感应数据高于预定阈值,则产生应急指令,同时提取保护物名称,再依据映射关系,从保护方案库中提取对应的保护方案,整合形成评估报告,达到简化安全评估结果阅读的目的,可准确高效的阅览,并执行对应的保护方案,完成操作。When it is necessary to evaluate the protection of village protected objects, establish a digital twin model of the protected object, then retrieve the protection plan of the village protected object through the cloud, list the protection plans, and crawl multiple characteristic data of the corresponding protected objects in the protection plan, and then use The data set is based on the calculation of the similarity values of multiple feature data, and the similarity values are arranged in order from large to small, and the protection schemes corresponding to the first 2 to 5 similarity values are reserved, and a mapping relationship is established with the protected objects, and stored Form a protection plan library to provide corresponding protection plans for the protection of subsequent village protected objects, then construct dangerous behavior objects, and conduct safety assessments, and at the same time judge whether the village protected objects are safe. If it is safe, return to construct dangerous behavior objects. If it is safe, judge the range of the sensing data. If the sensing data is lower than the minimum value of the predetermined threshold, a prompt pop-up window will be generated. If the sensing data belongs to the predetermined threshold, an alarm command will be generated. If the sensing data is higher than the predetermined threshold, an emergency will be generated. command, extract the name of the protected object at the same time, and then extract the corresponding protection plan from the protection plan library according to the mapping relationship, and integrate and form an assessment report to achieve the purpose of simplifying the reading of the safety assessment results, which can be read accurately and efficiently, and the corresponding protection plan can be executed , to complete the operation.

以上所述,仅为本发明较佳的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,根据本发明的技术方案及其发明构思加以等同替换或改变,都应涵盖在本发明的保护范围之内。The above is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto, any person familiar with the technical field within the technical scope disclosed in the present invention, according to the technical solution of the present invention Any equivalent replacement or change of the inventive concepts thereof shall fall within the protection scope of the present invention.

Claims (7)

1.一种村落数字孪生保护评估方法,其特征在于,该村落数字孪生保护评估方法具体步骤如下:1. A village digital twin protection evaluation method, characterized in that the specific steps of the village digital twin protection evaluation method are as follows: (1)采集并处理村落数据:人工安装监控设备,确定监控设备的地理坐标作为中心地理坐标,并根据监控设备的监控范围,以中心地理坐标为圆心建立空间坐标系,再于空间坐标系中选择一个地理坐标点作为控制点,并将控制点对应监控设备的成像矩阵中的像素点,再将控制点和像素点导入投影变换和坐标转换,即可对应得到成像矩阵中其它像素点的地理坐标,从而可确定村落保护物的地理坐标及物理尺寸,再检测需保护物的多个特征的特征数据,并整合成数据集合,构建保护物的数据模型的结构;(1) Collect and process village data: manually install monitoring equipment, determine the geographic coordinates of the monitoring equipment as the central geographic coordinates, and establish a spatial coordinate system with the central geographic coordinates as the center of the circle according to the monitoring range of the monitoring equipment. Select a geographical coordinate point as the control point, and correspond the control point to the pixel in the imaging matrix of the monitoring device, and then import the control point and the pixel into the projection transformation and coordinate transformation to obtain the geographic coordinates of other pixels in the imaging matrix Coordinates, so as to determine the geographical coordinates and physical dimensions of the protected objects in the village, and then detect the characteristic data of multiple features of the protected objects, and integrate them into a data set to build the structure of the data model of the protected objects; (2)构建数字孪生模型:在保护物的数据模型中抽象出静态常量数据和动态变量数据,并依据预设映射关系,构建预保护物数字孪生模型,再优化预保护物数字孪生模型,即得保护物数字孪生模型;(2) Build a digital twin model: abstract static constant data and dynamic variable data in the data model of the protected object, and build a digital twin model of the pre-protected object according to the preset mapping relationship, and then optimize the digital twin model of the pre-protected object, that is Obtain a digital twin model of protected objects; (3)创建保护方案库:通过云端检索村落保护物的保护方案,列举保护方案,并爬取保护方案中对应保护物的多个特征数据,再以数据集合为依据计算多个特征数据的相似度值,按从大到小的顺序排列相似度值,留取前2~5种相似度值对应的保护方案,并与保护物建立映射关系,存储形成保护方案库;(3) Create a protection scheme library: retrieve the protection schemes of village protected objects through the cloud, list the protection schemes, and crawl multiple characteristic data of corresponding protected objects in the protection scheme, and then calculate the similarity of multiple characteristic data based on the data set Arrange the similarity values in descending order, retain the protection schemes corresponding to the first 2 to 5 similarity values, establish a mapping relationship with the protected objects, and store them to form a protection scheme library; (4)构建危险行为对象:人工模拟危险行为对象,并采集危险行为对象的多个特征的特征数据,建立危险行为对象数字孪生模型,再采集危险行为对象的移动轨迹数据,将移动轨迹数据代入危险行为对象数字孪生模型,生成危险行为对象移动动态数据;(4) Construct dangerous behavior objects: artificially simulate dangerous behavior objects, collect characteristic data of multiple characteristics of dangerous behavior objects, establish a digital twin model of dangerous behavior objects, and then collect movement trajectory data of dangerous behavior objects, and substitute the movement trajectory data into The digital twin model of dangerous behavior objects generates moving dynamic data of dangerous behavior objects; (5)安全评估:基于保护物数字孪生模型对所述危险行为对象移动动态数据进行处理,生成感知数据,再将感应数据对比保护规划数据,若感应数据大于保护规划数据,则安全,返回步骤(4),若感应数据小于保护规划数据,则不安全;(5) Safety assessment: Based on the digital twin model of the protected object, process the dynamic data of the movement of the dangerous behavior object to generate sensing data, and then compare the sensing data with the protection planning data. If the sensing data is greater than the protection planning data, it is safe, and return to the step (4), if the sensing data is smaller than the protection planning data, it is not safe; (6)生成评估报告:步骤(5)结束后,再判断感应数据的所属范围,若感应数据低于预定阈值的最小值,则产生提示弹窗,若感应数据属于预定阈值,则产生警报指令,若感应数据高于预定阈值,则产生应急指令,同时提取保护物名称,再依据映射关系,从保护方案库中提取对应的保护方案,整合形成评估报告。(6) Generate an evaluation report: After step (5), judge the scope of the sensing data. If the sensing data is lower than the minimum value of the predetermined threshold, a prompt pop-up window will be generated. If the sensing data belongs to the predetermined threshold, an alarm command will be generated. , if the sensing data is higher than the predetermined threshold, an emergency command will be generated, and the name of the protected object will be extracted at the same time, and then the corresponding protection plan will be extracted from the protection plan library according to the mapping relationship, and an evaluation report will be formed by integration. 2.根据权利要求1所述的一种村落数字孪生保护评估方法,其特征在于,步骤(1)中所述投影变换和坐标转换的基本方法采用数值解析变换法。2. A village digital twin protection evaluation method according to claim 1, characterized in that the basic method of projection transformation and coordinate transformation described in step (1) adopts a numerical analysis transformation method. 3.根据权利要求1所述的一种村落数字孪生保护评估方法,其特征在于,步骤(1)中所述确定村落保护物的地理坐标及物理尺寸具体操作为:3. A village digital twin protection evaluation method according to claim 1, characterized in that, the specific operation of determining the geographic coordinates and physical dimensions of the village protection object described in step (1) is: S1、确定村落保护物所涵盖的像素点,从而确定村落保护物所涵盖的地理坐标;S1. Determine the pixel points covered by the village protection object, so as to determine the geographical coordinates covered by the village protection object; S2、提取地理坐标中的同轴数字,并取绝对值相加,即为村落保护物的物理尺寸。S2. Extract the coaxial numbers in the geographic coordinates, and add the absolute values to get the physical size of the village protected objects. 4.根据权利要求1所述的一种村落数字孪生保护评估方法,其特征在于,步骤(1)中所述多个特征的特征数据,并整合成数据集合即为属性数据。4. A village digital twin protection evaluation method according to claim 1, characterized in that the feature data of the multiple features in step (1) are integrated into a data set to be the attribute data. 5.根据权利要求1所述的一种村落数字孪生保护评估方法,其特征在于,步骤(1)中所述构建保护物的数据模型的结构过程具体操作为:5. A kind of village digital twin protection evaluation method according to claim 1, is characterized in that, the concrete operation of the structure process of the data model construction process of protection object described in step (1) is: SS1、确定保护物实体的数据集合,数据集合包括属性名称及数据类型;SS1. Determine the data set of the protected object entity, the data set includes attribute names and data types; SS2、对于每一个特征,统计特征在多个属性数据中的原始分布及分布参数;SS2. For each feature, the original distribution and distribution parameters of the statistical feature in multiple attribute data; SS3、根据分布参数对特征值进行调整,使得调整后的特征在多个属性数据中的分布为正态分布,并输入至神经网络模型中进行训练。SS3. Adjust the feature value according to the distribution parameters, so that the distribution of the adjusted feature in multiple attribute data is a normal distribution, and input it into the neural network model for training. 6.根据权利要求1所述的一种村落数字孪生保护评估方法,其特征在于,步骤(3)中所述计算多个特征数据的相似度值采用相似性度量算法,即ROST SEAT算法。6. A village digital twin protection evaluation method according to claim 1, characterized in that the calculation of the similarity values of multiple feature data in step (3) uses a similarity measurement algorithm, that is, the ROST SEAT algorithm. 7.根据权利要求1所述的一种村落数字孪生保护评估方法,其特征在于,所属保护物数字孪生模型和危险行为对象数字孪生模型均可通过可视化模块进行查看。7. A village digital twin protection evaluation method according to claim 1, characterized in that both the digital twin model of the protected object and the digital twin model of dangerous behavior objects can be viewed through the visualization module.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116977122A (en) * 2023-07-06 2023-10-31 双龙软创(深圳)科技有限公司 Remote automatic monitoring method for dangerous rooms based on digital twin technology
CN118569687A (en) * 2024-08-05 2024-08-30 长春工程学院 Traditional village protection effect evaluation system and method based on digital twin

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116977122A (en) * 2023-07-06 2023-10-31 双龙软创(深圳)科技有限公司 Remote automatic monitoring method for dangerous rooms based on digital twin technology
CN116977122B (en) * 2023-07-06 2024-04-19 双龙软创(深圳)科技有限公司 Remote automatic monitoring method for dangerous rooms based on digital twin technology
CN118569687A (en) * 2024-08-05 2024-08-30 长春工程学院 Traditional village protection effect evaluation system and method based on digital twin
CN118569687B (en) * 2024-08-05 2024-10-15 长春工程学院 Traditional village protection effect evaluation system and method based on digital twin

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