CN116383937A - Digital twin protection evaluation method for villages - Google Patents
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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
Technical Field
The invention relates to the technical field of village protection, in particular to a village digital twin protection evaluation method.
Background
The village is usually called as a village which is formed earlier and has rich substance and non-substance cultural heritage, has certain historic, cultural, scientific, artistic, social and economic values, has regional cultural characteristics or style, and has the protection range of: the traditional pattern, immovable cultural relics, traditional buildings and historical environment elements, but the existing village protection method mostly adopts manual census work, the number, the type, the distribution, the current situation and the like of villages are registered, a village protection management information system is built again, the digital twinning is a simulation process which fully utilizes data such as a physical model, sensor updating and operation history and the like, integrates multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities, and completes mapping in a virtual space, so that the full life cycle process of corresponding entity equipment is reflected, and the digital twinning is a concept exceeding reality and can be regarded as a digital mapping system of one or more important and mutually dependent equipment systems.
Through retrieval, chinese patent number CN111723467A discloses a traditional village digital twin protection system, and although mapping improves the efficacy of the protection system, the system cannot simplify the work of manually collecting physical data, the manual labor intensity cannot be further reduced, meanwhile, the accurate geographic coordinates of each point after digital twin cannot be accurately positioned, the safety evaluation result is complex to read, the corresponding protection scheme cannot be accurately and efficiently read, and the problem of method defects is brought.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a village digital twin protection evaluation method.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a village digital twin protection evaluation method comprises the following specific steps:
(1) Collecting and processing village data: manually installing monitoring equipment, determining geographic coordinates of the monitoring equipment as central geographic coordinates, establishing a space coordinate system by taking the central geographic coordinates as a circle center according to the monitoring range of the monitoring equipment, selecting one geographic coordinate point in the space coordinate system as a control point, corresponding the control point to a pixel point in an imaging matrix of the monitoring equipment, guiding the control point and the pixel point into projection transformation and coordinate transformation to correspondingly obtain the geographic coordinates of other pixel points in the imaging matrix, thereby determining the geographic coordinates and physical dimensions of a village protection object, detecting characteristic data of a plurality of characteristics of the protection object, integrating the characteristic data into a data set, and constructing a structure of a data model of the protection object;
(2) Constructing a digital twin model: abstracting static constant data and dynamic variable data from a data model of a protector, constructing a pre-protector digital twin model according to a preset mapping relation, and optimizing the pre-protector digital twin model to obtain the protector digital twin model;
(3) Creating a protection scheme library: searching protection schemes of protecting objects of villages through a cloud, listing the protection schemes, crawling a plurality of characteristic data corresponding to the protecting objects in the protection schemes, calculating similarity values of the plurality of characteristic data according to a data set, arranging the similarity values in a sequence from large to small, reserving the protection schemes corresponding to the first 2-5 similarity values, establishing a mapping relation with the protecting objects, and storing to form a protection scheme library;
(4) Constructing dangerous behavior objects: manually simulating a dangerous behavior object, collecting characteristic data of a plurality of characteristics of the dangerous behavior object, establishing a dangerous behavior object digital twin model, collecting movement track data of the dangerous behavior object, substituting the movement track data into the dangerous behavior object digital twin model, and generating dangerous behavior object movement dynamic data;
(5) Safety evaluation: processing the dangerous behavior object moving dynamic data based on the protector digital twin model to generate sensing data, comparing the sensing data with protection planning data, if the sensing data is larger than the protection planning data, returning to the step (4), and if the sensing data is smaller than the protection planning data, unsafe;
(6) Generating an evaluation report: and (5) after the step is finished, judging the range of the sensing data, if the sensing data is lower than the minimum value of the preset threshold, generating a prompt popup window, if the sensing data is higher than the preset threshold, generating an alarm instruction, and if the sensing data is higher than the preset threshold, generating an emergency instruction, extracting the name of the protector at the same time, extracting the corresponding protection scheme from the protection scheme library according to the mapping relation, and integrating to form an evaluation report.
Further, the basic method of projective transformation and coordinate transformation in the step (1) adopts a numerical analysis transformation method.
Further, the determining the geographic coordinates and physical dimensions of the village protection in step (1) specifically includes:
s1, determining pixel points covered by a village protector, so as to determine geographic coordinates covered by the village protector;
and S2, extracting coaxial numbers in the geographic coordinates, and taking absolute values and adding the absolute values to obtain the physical size of the village protector.
Further, the feature data of the plurality of features in the step (1) are integrated into a data set, i.e. attribute data.
Further, the construction process of constructing the data model of the protector in step (1) specifically operates as follows:
SS1, determining a data set of a protector entity, wherein the data set comprises an attribute name and a data type;
SS2, for each feature, counting the original distribution of the feature in the plurality of attribute data and the distribution parameters;
and SS3, adjusting the characteristic values according to the distribution parameters to ensure that the distribution of the adjusted characteristics in the attribute data is normal distribution, and inputting the normal distribution into a neural network model for training.
Further, in the step (3), a similarity measurement algorithm, namely a row SEAT algorithm, is adopted to calculate the similarity values of the plurality of feature data.
Further, the digital twin model of the protector and the digital twin model of the dangerous behavior object can be checked through a visualization module.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention determines the geographical coordinates of the pixels of the imaging matrix in the monitoring equipment, then determines the pixels covered by the village protection object, thereby determining the geographical coordinates covered by the village protection object, extracting the coaxial numbers in the geographical coordinates, taking absolute values and adding the absolute values to obtain the physical dimensions of the village protection object, thereby determining the geographical coordinates and the physical dimensions of the village protection object, without manually mapping the geographical coordinates and the physical dimensions of the village protection object, simplifying the work of manually collecting the physical data, further reducing the labor intensity, and accurately positioning the accurate geographical coordinates of each point after the digital twinning.
2. According to the invention, a protection scheme of a village protector is searched through a cloud, the protection scheme is listed, a plurality of characteristic data corresponding to the protector in the protection scheme are crawled, similarity values of the plurality of characteristic data are calculated according to a data set, the similarity values are arranged according to a sequence from large to small, the protection scheme corresponding to the first 2-5 similarity values is reserved, a mapping relation is established between the protection scheme and the protector, a protection scheme library is stored and formed, so that a corresponding protection scheme is provided for protection of the subsequent village protector, a dangerous behavior object is built, safety evaluation is carried out, meanwhile, whether the village protector is safe or not is judged, if the village protector is safe, the dangerous behavior object is built, if the village protector is unsafe, the scope of the induction data is judged, if the induction data is lower than the minimum value of a preset threshold, a prompt popup window is generated, if the induction data is higher than the preset threshold, an emergency instruction is generated, meanwhile, the corresponding protection scheme is extracted from the protection scheme library according to the mapping relation, an evaluation report is formed, and the purposes of simplifying safety evaluation reading result and high-efficiency reading can be achieved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
Fig. 1 is a schematic flow chart of a village digital twin protection evaluation method provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
In the description of the present invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," "outer," and the like indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate description of the present invention and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Example 1:
referring to fig. 1, the present invention provides a technical solution: a village digital twin protection evaluation method comprises the following specific steps:
(1) Collecting and processing village data: the method comprises the steps of manually installing monitoring equipment, determining geographic coordinates of the monitoring equipment as central geographic coordinates, establishing a space coordinate system by taking the central geographic coordinates as a circle center according to the monitoring range of the monitoring equipment, selecting one geographic coordinate point in the space coordinate system as a control point, corresponding the control point to a pixel point in an imaging matrix of the monitoring equipment, guiding the control point and the pixel point into projection transformation and coordinate transformation to correspondingly obtain the geographic coordinates of other pixel points in the imaging matrix, determining the geographic coordinates and physical dimensions of a village protection object, detecting characteristic data of a plurality of characteristics of the protection object, integrating the characteristic data into a data set, and constructing a structure of a data model of the protection object.
The basic method of projection transformation and coordinate transformation adopts a numerical analysis transformation method, and the specific operation of determining the geographic coordinates and physical dimensions of the village protections is as follows:
s1, determining pixel points covered by a village protector, so as to determine geographic coordinates covered by the village protector;
and S2, extracting coaxial numbers in the geographic coordinates, and taking absolute values and adding the absolute values to obtain the physical size of the village protector.
Specifically, in the process of collecting village data, the monitoring equipment is manually installed, the geographic coordinates of the pixels of the imaging matrix in the monitoring equipment are determined, then the pixels covered by the village protectors are determined, so that the geographic coordinates covered by the village protectors are determined, coaxial numbers in the geographic coordinates are extracted, absolute values are added, namely the physical dimensions of the village protectors are obtained, so that the geographic coordinates and the physical dimensions of the village protectors can be determined, the geographic coordinates and the physical dimensions of the village protectors do not need to be manually mapped, the work of manually collecting the physical data is simplified, the labor intensity is further reduced, and meanwhile, the accurate geographic coordinates of each point after digital twinning can be accurately positioned.
Example 2:
referring to fig. 1, the present invention provides a technical solution: a village digital twin protection assessment method, (2) a digital twin model is constructed: abstracting static constant data and dynamic variable data from a data model of a protector, constructing a pre-protector digital twin model according to a preset mapping relation, and optimizing the pre-protector digital twin model to obtain the protector digital twin model;
(3) Creating a protection scheme library: searching protection schemes of protecting objects of villages through a cloud, listing the protection schemes, crawling a plurality of characteristic data corresponding to the protecting objects in the protection schemes, calculating similarity values of the plurality of characteristic data according to a data set, arranging the similarity values in a sequence from large to small, reserving the protection schemes corresponding to the first 2-5 similarity values, establishing a mapping relation with the protecting objects, and storing to form a protection scheme library;
(4) Constructing dangerous behavior objects: manually simulating a dangerous behavior object, collecting characteristic data of a plurality of characteristics of the dangerous behavior object, establishing a dangerous behavior object digital twin model, collecting movement track data of the dangerous behavior object, substituting the movement track data into the dangerous behavior object digital twin model, and generating dangerous behavior object movement dynamic data;
(5) Safety evaluation: processing the dangerous behavior object moving dynamic data based on the protector digital twin model to generate sensing data, comparing the sensing data with protection planning data, if the sensing data is larger than the protection planning data, returning to the step (4), and if the sensing data is smaller than the protection planning data, unsafe;
(6) Generating an evaluation report: and (5) after the step is finished, judging the range of the sensing data, if the sensing data is lower than the minimum value of the preset threshold, generating a prompt popup window, if the sensing data is higher than the preset threshold, generating an alarm instruction, and if the sensing data is higher than the preset threshold, generating an emergency instruction, extracting the name of the protector at the same time, extracting the corresponding protection scheme from the protection scheme library according to the mapping relation, and integrating to form an evaluation report.
Specifically, in the process of protecting and evaluating the protecting object of the village, a digital twin model of the protecting object is built, then the protecting scheme is searched through a cloud, a protecting scheme is enumerated, a plurality of characteristic data corresponding to the protecting object in the protecting scheme are crawled, similarity values of the plurality of characteristic data are calculated according to a data set, the similarity values are arranged in a sequence from large to small, the protecting scheme corresponding to the first 2-5 similarity values is reserved, a mapping relation is built with the protecting object, a protecting scheme library is stored and formed, so that a corresponding protecting scheme is provided for protecting the protecting object of the subsequent village, a dangerous behavior object is built, and safety evaluation is carried out, meanwhile, whether the protecting object of the village is safe is judged, if the protecting object is safe, the dangerous behavior object is built, if the protecting object is unsafe, the scope of the sensing data is judged, a prompt spring window is generated, if the sensing data is lower than the minimum value of a preset threshold, an alarm command is generated, if the sensing data is higher than the preset threshold, an emergency command is generated, meanwhile, the protecting scheme name is extracted, the corresponding protecting scheme is extracted from the protecting scheme library according to the mapping relation, the protecting scheme is simplified, the corresponding protecting scheme is formed, and the safety evaluation is read, and the corresponding safety evaluation can be carried out, and the aim of reading is achieved.
The working principle and the using flow of the invention are as follows: when village data is required to be collected, the monitoring equipment is manually installed, the geographic coordinates of the pixel points of an imaging matrix in the monitoring equipment are determined, the pixel points covered by the village protection object are determined, the geographic coordinates covered by the village protection object are determined, coaxial numbers in the geographic coordinates are extracted, absolute values are added, namely the physical size of the village protection object is obtained, the geographic coordinates and the physical size of the village protection object can be determined, the geographic coordinates and the physical size of the village protection object are not required to be manually mapped, the manual data collection work is simplified, the manual labor intensity is further reduced, the accurate geographic coordinates of each point after digital twinning can be accurately positioned, the characteristic data of a plurality of characteristics of the protected object are detected, and the characteristic data are integrated into a data set to construct a data model of the protected object;
when the protection evaluation is needed for the village protectors, a digital twin model of the protectors is built, then the protection scheme is searched through a cloud, the protection scheme is enumerated, a plurality of characteristic data corresponding to the protectors in the protection scheme are crawled, similarity values of the plurality of characteristic data are calculated according to a data set, the similarity values are arranged in a sequence from large to small, the protection scheme corresponding to the first 2-5 similarity values is reserved, a mapping relation is built with the protectors, a protection scheme library is stored and formed, so that the corresponding protection scheme is provided for the protection of the subsequent village protectors, a dangerous behavior object is built, and safety evaluation is carried out, meanwhile, whether the village protectors are safe or not is judged, if the village protectors are safe, the dangerous behavior object is built, if the village protectors are unsafe, the range of the sensing data is judged, a prompt bullet window is generated, if the sensing data is lower than a preset threshold, an alarm command is generated, if the sensing data is higher than the preset threshold, the emergency command is generated, the names of the protectors are extracted, and then the corresponding protection scheme library is extracted according to the mapping relation, the protection scheme is formed, the corresponding protection scheme is simplified, and the safety evaluation is carried out, and the corresponding reading and the safety evaluation can be carried out, and the purpose is achieved.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (7)
1. The village digital twin protection evaluation method is characterized by comprising the following specific steps of:
(1) Collecting and processing village data: manually installing monitoring equipment, determining geographic coordinates of the monitoring equipment as central geographic coordinates, establishing a space coordinate system by taking the central geographic coordinates as a circle center according to the monitoring range of the monitoring equipment, selecting one geographic coordinate point in the space coordinate system as a control point, corresponding the control point to a pixel point in an imaging matrix of the monitoring equipment, guiding the control point and the pixel point into projection transformation and coordinate transformation to correspondingly obtain the geographic coordinates of other pixel points in the imaging matrix, thereby determining the geographic coordinates and physical dimensions of a village protection object, detecting characteristic data of a plurality of characteristics of the protection object, integrating the characteristic data into a data set, and constructing a structure of a data model of the protection object;
(2) Constructing a digital twin model: abstracting static constant data and dynamic variable data from a data model of a protector, constructing a pre-protector digital twin model according to a preset mapping relation, and optimizing the pre-protector digital twin model to obtain the protector digital twin model;
(3) Creating a protection scheme library: searching protection schemes of protecting objects of villages through a cloud, listing the protection schemes, crawling a plurality of characteristic data corresponding to the protecting objects in the protection schemes, calculating similarity values of the plurality of characteristic data according to a data set, arranging the similarity values in a sequence from large to small, reserving the protection schemes corresponding to the first 2-5 similarity values, establishing a mapping relation with the protecting objects, and storing to form a protection scheme library;
(4) Constructing dangerous behavior objects: manually simulating a dangerous behavior object, collecting characteristic data of a plurality of characteristics of the dangerous behavior object, establishing a dangerous behavior object digital twin model, collecting movement track data of the dangerous behavior object, substituting the movement track data into the dangerous behavior object digital twin model, and generating dangerous behavior object movement dynamic data;
(5) Safety evaluation: processing the dangerous behavior object moving dynamic data based on the protector digital twin model to generate sensing data, comparing the sensing data with protection planning data, if the sensing data is larger than the protection planning data, returning to the step (4), and if the sensing data is smaller than the protection planning data, unsafe;
(6) Generating an evaluation report: and (5) after the step is finished, judging the range of the sensing data, if the sensing data is lower than the minimum value of the preset threshold, generating a prompt popup window, if the sensing data is higher than the preset threshold, generating an alarm instruction, and if the sensing data is higher than the preset threshold, generating an emergency instruction, extracting the name of the protector at the same time, extracting the corresponding protection scheme from the protection scheme library according to the mapping relation, and integrating to form an evaluation report.
2. A village digital twin protection assessment method according to claim 1, wherein the basic method of projective transformation and coordinate transformation in step (1) adopts a numerical analysis transformation method.
3. A method of evaluating digital twin protection for a village as defined in claim 1, wherein determining the geographic coordinates and physical dimensions of the village protector in step (1) is performed as:
s1, determining pixel points covered by a village protector, so as to determine geographic coordinates covered by the village protector;
and S2, extracting coaxial numbers in the geographic coordinates, and taking absolute values and adding the absolute values to obtain the physical size of the village protector.
4. The method of claim 1, wherein the feature data of the plurality of features in step (1) are integrated into a data set, i.e., attribute data.
5. A village digital twin protection assessment method according to claim 1, wherein the construction process of constructing the data model of the protector in step (1) is specifically operated as:
SS1, determining a data set of a protector entity, wherein the data set comprises an attribute name and a data type;
SS2, for each feature, counting the original distribution of the feature in the plurality of attribute data and the distribution parameters;
and SS3, adjusting the characteristic values according to the distribution parameters to ensure that the distribution of the adjusted characteristics in the attribute data is normal distribution, and inputting the normal distribution into a neural network model for training.
6. The method of claim 1, wherein the calculating the similarity value of the plurality of feature data in step (3) uses a similarity metric algorithm, namely a row SEAT algorithm.
7. A village digital twin protection assessment method according to claim 1, wherein the protector digital twin model and the dangerous behavior object digital twin model are both viewable by a visualization module.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
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