CN116189010B - Mine ecological identification early warning method and system based on satellite map - Google Patents
Mine ecological identification early warning method and system based on satellite map Download PDFInfo
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Abstract
The invention discloses a mine ecological identification early warning method and system based on satellite map, comprising the following steps: acquiring satellite map data of a mine, preprocessing, integrating the satellite map data at different angles at different times, generating a mine satellite map time sequence, extracting features, matching the extracted features with meteorological data of a region where the mine is located, acquiring fusion features, and evaluating the ecological environment of the current mine; constructing a mine ecological environment early warning model, predicting by utilizing fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment; and comparing the analysis and prediction result of the mine ecological environment with a preset threshold value, and generating an early warning prompt according to the comparison result. According to the invention, the satellite map data and other related data are combined to monitor the mine ecology, so that the condition of the mine ecology environment can be reflected rapidly, and the protection and supervision level of the mine ecology environment is improved.
Description
Technical Field
The invention relates to the technical field of ecological protection, in particular to a satellite map-based mine ecological identification early warning method and system, which are predictive environment-friendly technologies designed for protecting and supervising the mine ecological environment.
Background
The development and utilization of mineral resources promote the development of human society and economy, complex geological conditions and unreasonable mining modes of mines also cause a plurality of geological disaster hidden dangers, and also bring the problems of ecological environment destruction, field destruction, secondary geological disasters and the like, so that the supervision and management of the ecological environment of the mines are enhanced. The mining industry is an important prop industry, but is also an industry that severely pollutes and destroys the ecological environment. Along with the continuous deep development of green ideas, how to realize the protection and supervision of the mine ecological environment has become an important task of the current environmental protection work.
The development of mining activities easily causes the problems of different types of geological disasters, land resource damage and occupation, landform landscape damage, environmental pollution and the like, and greatly damages the local ecological environmental benefit. The traditional mine ecological monitoring mode mainly depends on manual inspection and field investigation, and has the defects of low efficiency, long time consumption and the like. Along with the progress of scientific technology, the investigation and early warning method of the ecological environment is gradually developed to informatization and intellectualization, and the mine monitoring mode based on the remote sensing technology can not only improve the monitoring efficiency, but also can acquire a large amount of data to accurately reflect the condition of the ecological environment of the mine. Therefore, how to identify and pre-warn the mine ecological environment condition information based on the combination of remote sensing data and other related data is one of the problems which cannot be solved yet.
Disclosure of Invention
In order to solve the technical problems, the invention provides a mine ecological identification early warning method and system based on satellite maps.
The first aspect of the invention provides a mine ecological identification early warning method based on a satellite map, which comprises the following steps:
acquiring satellite map data of a mine by utilizing a satellite remote sensing technology, integrating the satellite map data of different angles at different times after preprocessing, generating a mine satellite map time sequence, and acquiring a satellite map data set;
extracting features of the mine satellite map time sequence, performing feature matching on the extracted features and meteorological data of the region where the mine is located, acquiring fusion features, and evaluating the current mine ecological environment;
constructing a mine ecological environment early warning model, training by using a satellite map data set and mine ecological history change, predicting by using fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment;
and comparing the analysis and prediction result of the mine ecological environment with a preset threshold value, generating an early warning prompt according to the comparison result, and displaying in a preset mode.
In the scheme, satellite spectrum data of a mine are acquired by utilizing a satellite remote sensing technology, the satellite spectrum data of different angles at different times are integrated after preprocessing, a mine satellite spectrum time sequence is generated, and a satellite spectrum data set is acquired, specifically:
Acquiring multispectral images containing a preset range of a mine by utilizing a satellite remote sensing technology, taking the multispectral images as satellite map data of the mine, and preprocessing the satellite map data;
integrating and splicing the images with different angles in the same time, judging whether splicing and embedding are carried out according to the overlapping area of the two images, and selecting images with good shooting quality to cover the overlapping area according to the cloud cover condition when the overlapping area is larger than the area of the preset area;
marking the integrated and spliced satellite map data, presetting a marking category, setting a marking window according to the marking category, traversing the integrated and spliced satellite map data by using the marking window, and judging the similarity of the image features in the integrated and spliced satellite map data and the corresponding attributes of the marking window;
when the similarity meets a preset similarity standard, marking the range of the marking category in the satellite map data, and traversing by using a marking window of the next category after traversing the current marking window;
after all the marking windows are traversed, marking ranges of different marking categories are generated in the integrated and spliced satellite map data, and the satellite map data image marks at the same time are obtained;
And (3) carrying out data integration on satellite map data image marks at different times to generate a mine satellite map time sequence, and constructing a satellite map data set of the mine.
In this scheme, carry out the feature extraction to mine satellite map time sequence, carry out the feature matching with the meteorological data of mine place with the feature of extracting, acquire the fusion characteristic, specifically be:
constructing a search tag according to mine ecology and satellite map data keywords, and searching through similarity calculation based on the search tag by utilizing a big data means to obtain data with similarity meeting a preset similarity threshold;
screening the obtained data to obtain mine ecological assessment key indexes with the correlation meeting a preset standard, and selecting a preset number of mine ecological assessment key indexes to construct an assessment key index set;
extracting features of mine satellite map time sequence in the mine satellite map data set by using the evaluation key index set to obtain a feature set representing the ecological condition of the mine;
reading a time span through a satellite map data set of a mine, acquiring meteorological data of an area where the mine is located in a preset time period according to the time span, and matching the meteorological data with a mine satellite map time sequence according to a monitoring time stamp;
And carrying out feature fusion on the feature set representing the ecological condition of the mine and the meteorological features to obtain fusion features.
In the scheme, the current mine ecological environment is evaluated, and the method specifically comprises the following steps:
acquiring a feature set for representing the ecological condition of the mine, carrying out principal component analysis on features of different times in the feature set, acquiring scores and feature values of the features of different times, and generating principal component sequences of the features of different times;
screening two characteristic main components at different times according to a preset contribution degree, determining a final characteristic main component by carrying out statistical analysis on the characteristic main components at different times, and acquiring ecological indexes of mines at different times according to mine ecological assessment key indexes corresponding to the final characteristic main component;
the current mine ecological environment is evaluated by utilizing mine ecological evaluation key indexes corresponding to the final characteristic main components after preprocessing and normalizing the satellite map data of the current mine;
and acquiring an ecological index change value at preset time intervals according to the ecological indexes of the mine at different times, and generating ecological change characteristics of the mine through the ecological index change value.
In the scheme, a mine ecological environment early warning model is constructed, training is carried out by utilizing a satellite map data set and mine ecological history change, prediction is carried out by utilizing fusion characteristics based on the evaluation result of the current mine ecological environment, and the analysis and prediction result of the mine ecological environment is output, specifically:
Constructing a mine ecological environment early warning model based on a deep learning method, wherein the mine ecological environment early warning model comprises a mine satellite map classification module and an ecological environment prediction module;
utilizing a ResNet network as a basic network of a mine satellite map classification module, introducing hole convolution to extract multi-scale features in current satellite map data, and generating feature maps with different scales;
extracting importance of corresponding features of each channel according to correlation among channels through a channel attention mechanism, combining elements in feature graphs with different scales with elements in the corresponding channels, and generating an enhanced feature graph for feature fusion;
residual connection is carried out on the mine satellite map classification module, the feature map after feature fusion is input into a full-connection layer, judgment and classification are carried out according to preset labeling categories, and the mine satellite map classification module is trained through a satellite map data set;
setting an ecological environment prediction module through a BP neural network, acquiring ecological change characteristics through mine ecological history change, and training the ecological environment prediction module according to the ecological change characteristics;
judging the accuracy of the model after the training of the mine satellite map classification module and the ecological environment prediction module is finished, and outputting a mine ecological environment early warning model when the accuracy accords with a preset threshold value;
And inputting the evaluation result of the current mine ecological environment and the meteorological fusion characteristic representing the mine ecological condition into a trained mine ecological environment early warning model to obtain an analysis and prediction result of the mine ecological environment.
In the scheme, the analysis and prediction result of the mine ecological environment is compared with a preset threshold value, and an early warning prompt is generated according to the comparison result, specifically:
acquiring meteorological data in a monitoring interval according to the monitoring interval of current mine satellite map data and historical mine satellite map data, and extracting meteorological features according to meteorological data changes;
constructing a mine ecological database based on fusion characteristics of mines at different historic times and corresponding ecological indexes, calculating similarity in the mine ecological database according to the meteorological characteristics, acquiring fusion characteristics with similarity meeting preset standards, and extracting corresponding historic ecological indexes;
judging a historical ecological index change value based on the historical ecological index and the monitoring interval, and determining a current mine ecological threshold according to the historical ecological index change value and the environmental change coefficient;
and acquiring an analysis and prediction result of the current mine ecological environment output by the mine ecological environment early warning model, and generating early warning prompt information if the analysis and prediction result of the current mine ecological environment is larger than the current mine ecological threshold value.
The second aspect of the invention also provides a mine ecological identification early warning system based on satellite map, which comprises: the mine ecological identification early warning method based on the satellite map comprises a memory and a processor, wherein the memory comprises a mine ecological identification early warning method program based on the satellite map, and the following steps are realized when the mine ecological identification early warning method program based on the satellite map is executed by the processor:
acquiring satellite map data of a mine by utilizing a satellite remote sensing technology, integrating the satellite map data of different angles at different times after preprocessing, generating a mine satellite map time sequence, and acquiring a satellite map data set;
extracting features of the mine satellite map time sequence, performing feature matching on the extracted features and meteorological data of the region where the mine is located, acquiring fusion features, and evaluating the current mine ecological environment;
constructing a mine ecological environment early warning model, training by using a satellite map data set and mine ecological history change, predicting by using fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment;
and comparing the analysis and prediction result of the mine ecological environment with a preset threshold value, generating an early warning prompt according to the comparison result, and displaying in a preset mode.
The invention discloses a mine ecological identification early warning method and system based on satellite map, comprising the following steps: acquiring satellite map data of a mine, preprocessing, integrating the satellite map data at different angles at different times, generating a mine satellite map time sequence, performing feature extraction, performing feature fusion with ecological monitoring data and meteorological data in a preset range of the mine, and evaluating the current mine ecological environment according to the fusion features; constructing a mine ecological environment early warning model, predicting by utilizing fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment; and comparing the analysis and prediction result of the mine ecological environment with a preset threshold value, and generating an early warning prompt according to the comparison result. The invention combines satellite map data with other related data to monitor mine ecology, has the advantages of simple operation, high efficiency, large data volume and the like, can rapidly reflect the condition of the mine ecology environment, and improves the protection and supervision level of the mine ecology environment.
Drawings
FIG. 1 shows a flow chart of a mine ecological identification early warning method based on a satellite map;
FIG. 2 shows a flow chart of a method of the present invention for evaluating the current mine ecological environment;
FIG. 3 shows a flow chart of a method for constructing a mine ecological environment early warning model for prediction;
fig. 4 shows a block diagram of a satellite map-based mine ecological identification early warning system.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a mine ecological identification early warning method based on a satellite map.
As shown in fig. 1, the first aspect of the present invention provides a satellite map-based mine ecological identification and early warning method, which includes:
s102, acquiring satellite map data of a mine by utilizing a satellite remote sensing technology, integrating the satellite map data of different angles at different times after preprocessing, generating a mine satellite map time sequence, and acquiring a satellite map data set;
S104, extracting features of the mine satellite map time sequence, performing feature matching on the extracted features and meteorological data of the region where the mine is located, acquiring fusion features, and evaluating the current mine ecological environment;
s106, constructing a mine ecological environment early warning model, training by using a satellite map data set and mine ecological history change, predicting by using fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment;
s108, comparing analysis and prediction results of the mine ecological environment with a preset threshold value, generating an early warning prompt according to the comparison results, and displaying the early warning prompt in a preset mode.
The method comprises the steps of acquiring multispectral images containing a preset range of a mine by utilizing a satellite remote sensing technology, and preprocessing the satellite map data, wherein the preprocessing comprises radiometric calibration, atmospheric correction, orthographic correction and the like; the single-view images have limited breadth, the multi-view images with different angles in the same time are required to be integrated and spliced, whether splicing and embedding are performed or not is judged according to the overlapping area of the two images, and when the overlapping area is larger than the area of a preset area, images with good shooting quality are selected according to the shielding condition of cloud layers to cover the overlapping area; labeling the integrated spliced satellite map data, presetting a labeling category, and comprising: cultivated land, woodland, water area, road, etc.; setting a marking window according to the marking category, traversing the integrated and spliced satellite map data by using the marking window, and judging the similarity of the image characteristics in the integrated and spliced satellite map data and the corresponding attributes of the marking window; when the similarity meets a preset similarity standard, marking the range of the marking category in the satellite map data, and traversing by using a marking window of the next category after traversing the current marking window; after all the marking windows are traversed, marking ranges of different marking categories are generated in the integrated and spliced satellite map data, and the satellite map data image marks at the same time are obtained; and (3) carrying out data integration on satellite map data image marks at different times to generate a mine satellite map time sequence, and constructing a satellite map data set of the mine.
FIG. 2 shows a flow chart of the method of the invention for evaluating the current mine ecological environment.
According to the embodiment of the application, the current mine ecological environment is evaluated, specifically:
s202, acquiring a feature set for representing the ecological condition of the mine, carrying out principal component analysis on features of different times in the feature set, acquiring scores and feature values of the features in different times, and generating principal component sequences of the features in different times;
s204, screening two characteristic main components at different times according to a preset contribution degree, determining a final characteristic main component by carrying out statistical analysis on the characteristic main components at different times, and acquiring ecological indexes of mines at different times according to mine ecological assessment key indexes corresponding to the final characteristic main component;
s206, carrying out pretreatment and normalization operation on satellite map data of the current mine, and then evaluating the current mine ecological environment by using mine ecological evaluation key indexes corresponding to the final characteristic main components;
s208, acquiring an ecological index change value at preset time intervals according to the ecological indexes of the mine at different times, and generating ecological change characteristics of the mine through the ecological index change value.
The method includes the steps that a search tag is built according to mine ecology and satellite map data keywords, and the large data means are utilized to search through similarity calculation based on the search tag, so that data with similarity meeting a preset similarity threshold value are obtained; the mine ecological assessment key indexes with the correlation meeting the preset standard are obtained through screening of the retrieved data, the correlation calculation can be obtained through pearson correlation coefficient or regression analysis, and a preset number of mine ecological assessment key indexes are selected to construct an assessment key index set; in a preferred embodiment of the present application, the evaluating key index set includes vegetation index (NDVI), humidity (WET), dryness (NDBSI), heat (LST), carbon sink (NPP) and Habitat Quality (HQ), and the evaluating key index set is used to perform feature extraction on a mine satellite map time sequence in a satellite map dataset of a mine, so as to obtain a feature set representing a mine ecological condition; main characteristics of which the total contribution rate of the characteristic components exceeds 85% are obtained through main component analysis, main characteristics of the evaluation key indexes can be replaced through data statistics selection and the like, mine ecological environment evaluation is carried out according to the main characteristics, and the ecological evaluation is divided into N grades with the preset number through experience information and the main characteristics.
Reading a time span through a satellite map data set of a mine, acquiring meteorological data of an area where the mine is located in a preset time period according to the time span, and matching the meteorological data with a mine satellite map time sequence according to a monitoring time stamp; and carrying out feature fusion on the feature set representing the ecological condition of the mine and the meteorological features to obtain fusion features.
FIG. 3 shows a flow chart of a method for constructing a mine ecological environment early warning model for prediction.
According to the embodiment of the invention, a mine ecological environment early warning model is constructed, training is performed by utilizing a satellite map data set and mine ecological history change, prediction is performed by utilizing fusion characteristics based on the evaluation result of the current mine ecological environment, and the analysis and prediction result of the mine ecological environment is output, specifically:
s302, constructing a mine ecological environment early warning model based on a deep learning method, wherein the mine ecological environment early warning model comprises a mine satellite map classification module and an ecological environment prediction module;
s304, utilizing a ResNet network as a basic network of a mine satellite map classification module, introducing hole convolution to extract multi-scale features in current satellite map data, and generating feature maps with different scales;
S306, extracting importance of corresponding features of each channel according to the correlation among the channels through a channel attention mechanism, combining elements in the feature graphs with different scales with elements in the corresponding channels, and generating an enhanced feature graph for feature fusion;
s308, carrying out residual connection on the mine satellite map classification module, inputting the feature map after feature fusion into a full-connection layer, judging and classifying according to preset labeling categories, and training the mine satellite map classification module through a satellite map data set;
s310, setting an ecological environment prediction module through a BP neural network, acquiring ecological change characteristics through mine ecological history change, and training the ecological environment prediction module according to the ecological change characteristics;
s312, judging the accuracy of the model after the training of the mine satellite map classification module and the ecological environment prediction module is finished, and outputting a mine ecological environment early warning model when the accuracy accords with a preset threshold value;
s314, inputting the evaluation result of the current mine ecological environment and the meteorological fusion characteristic representing the mine ecological condition into a trained mine ecological environment early warning model to obtain an analysis and prediction result of the mine ecological environment.
It should be noted that, in the channel attention mechanism, the feature map is compressed through global average pooling, a one-dimensional vector is obtained, the length of the one-dimensional vector is equal to the number of channels inputting the feature map, features in the one-dimensional feature are dispersed in different channels, the specific gravity of each channel is obtained through an activation function in two full-connection layers, elements in the feature map with different scales are combined with elements in the corresponding channels, the enhanced feature map is generated, the feature fusion is performed by using a Softmax function, the channel including important information is enhanced by using the channel attention mechanism, the multi-scale feature is further enhanced, so that the model selects proper scale features for classification, and the classification accuracy is improved. The method comprises the steps of setting an ecological environment prediction module through a BP neural network, learning time sequence characteristics of ecological change corresponding to mine ecological history change, inputting fusion characteristics of characteristic meteorological characteristics capable of representing mine ecological conditions according to the evaluation result of the current mine ecological environment, and obtaining analysis and prediction results of the mine ecological environment, wherein the analysis and prediction results of the mine ecological environment can be index information or grade information and the like.
The method comprises the steps of acquiring meteorological data in a monitoring interval according to the monitoring interval of current mine satellite map data and historical mine satellite map data, and extracting meteorological features according to meteorological data changes; constructing a mine ecological database based on fusion characteristics of mines at different historic times and corresponding ecological indexes, calculating similarity in the mine ecological database according to the meteorological characteristics, acquiring fusion characteristics with similarity meeting preset standards, and extracting corresponding historic ecological indexes; judging a historical ecological index change value based on the historical ecological index and the monitoring interval, and determining a current mine ecological threshold according to the historical ecological index change value and the environmental change coefficient; and acquiring an analysis and prediction result of the current mine ecological environment output by the mine ecological environment early warning model, and if the analysis and prediction result of the current mine ecological environment is larger than the current mine ecological threshold value, generating early warning prompt information, so that related departments can manage and regulate the mine ecological condition conveniently.
According to the embodiment of the invention, a mine ecological regulation scheme is generated according to the early warning information, and specifically comprises the following steps: after the ecological early warning information is reported by the area where the mine is located, acquiring the ecological environment characteristics during ecological early warning, and generating the current area characteristics of the mine by combining the ecological environment characteristics with the geological characteristics of the area where the mine is located; searching mine ecological restoration cases in a related database according to the current regional characteristics of the mine, extracting case data with similarity meeting preset standards, and combining according to the case data to generate an ecological regulation initial scheme; acquiring environment monitoring data of an area where a mine is located, generating an adaptive plant data set in the area according to the environment monitoring data, selecting plants suitable for ecological restoration of the mine through the adaptive plant data set to replace and adjust an ecological regulation initial scheme, monitoring ecological regulation restoration of the mine according to mine satellite map data, and optimizing the ecological regulation initial scheme of the mine when an analysis and prediction result of the ecological environment in a preset time is smaller than a preset threshold value.
Evaluating the environmental characteristics during pest early warning according to an environmental evaluation system, presetting an evaluation score threshold value, and comparing and judging according to the evaluation score and the evaluation score threshold value to obtain an abnormal environmental index during pest early warning;
determining the environment improvement direction of the target area according to the abnormal environment index, and simultaneously obtaining the deviation value of the abnormal environment index and the standard corresponding to the adaptive condition to determine the environment regulation scheme of the target area;
and the environmental characteristics of the target area are monitored regularly and compared with the environmental characteristics when insect damage occurs, the environmental repair rate of the target area is obtained, and the environmental regulation scheme is corrected according to the environmental repair rate.
Fig. 4 shows a block diagram of a satellite map-based mine ecological identification early warning system.
The second aspect of the invention also provides a mine ecological identification early warning system 4 based on satellite map, which comprises: the memory 41 and the processor 42, wherein the memory comprises a mine ecological identification early warning method program based on a satellite map, and the mine ecological identification early warning method program based on the satellite map realizes the following steps when being executed by the processor:
Acquiring satellite map data of a mine by utilizing a satellite remote sensing technology, integrating the satellite map data of different angles at different times after preprocessing, generating a mine satellite map time sequence, and acquiring a satellite map data set;
extracting features of the mine satellite map time sequence, performing feature matching on the extracted features and meteorological data of the region where the mine is located, acquiring fusion features, and evaluating the current mine ecological environment;
constructing a mine ecological environment early warning model, training by using a satellite map data set and mine ecological history change, predicting by using fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment;
and comparing the analysis and prediction result of the mine ecological environment with a preset threshold value, generating an early warning prompt according to the comparison result, and displaying in a preset mode.
The method comprises the steps of acquiring multispectral images containing a preset range of a mine by utilizing a satellite remote sensing technology, and preprocessing the satellite map data, wherein the preprocessing comprises radiometric calibration, atmospheric correction, orthographic correction and the like; the single-view images have limited breadth, the multi-view images with different angles in the same time are required to be integrated and spliced, whether splicing and embedding are performed or not is judged according to the overlapping area of the two images, and when the overlapping area is larger than the area of a preset area, images with good shooting quality are selected according to the shielding condition of cloud layers to cover the overlapping area; labeling the integrated spliced satellite map data, presetting a labeling category, and comprising: cultivated land, woodland, water area, road, etc.; setting a marking window according to the marking category, traversing the integrated and spliced satellite map data by using the marking window, and judging the similarity of the image characteristics in the integrated and spliced satellite map data and the corresponding attributes of the marking window; when the similarity meets a preset similarity standard, marking the range of the marking category in the satellite map data, and traversing by using a marking window of the next category after traversing the current marking window; after all the marking windows are traversed, marking ranges of different marking categories are generated in the integrated and spliced satellite map data, and the satellite map data image marks at the same time are obtained; and (3) carrying out data integration on satellite map data image marks at different times to generate a mine satellite map time sequence, and constructing a satellite map data set of the mine.
According to the embodiment of the application, the current mine ecological environment is evaluated, specifically:
acquiring a feature set for representing the ecological condition of the mine, carrying out principal component analysis on features of different times in the feature set, acquiring scores and feature values of the features of different times, and generating principal component sequences of the features of different times;
screening two characteristic main components at different times according to a preset contribution degree, determining a final characteristic main component by carrying out statistical analysis on the characteristic main components at different times, and acquiring ecological indexes of mines at different times according to mine ecological assessment key indexes corresponding to the final characteristic main component;
the current mine ecological environment is evaluated by utilizing mine ecological evaluation key indexes corresponding to the final characteristic main components after preprocessing and normalizing the satellite map data of the current mine;
and acquiring an ecological index change value at preset time intervals according to the ecological indexes of the mine at different times, and generating ecological change characteristics of the mine through the ecological index change value.
The method includes the steps that a search tag is built according to mine ecology and satellite map data keywords, and the large data means are utilized to search through similarity calculation based on the search tag, so that data with similarity meeting a preset similarity threshold value are obtained; the mine ecological assessment key indexes with the correlation meeting the preset standard are obtained through screening of the retrieved data, the correlation calculation can be obtained through pearson correlation coefficient or regression analysis, and a preset number of mine ecological assessment key indexes are selected to construct an assessment key index set; in a preferred embodiment of the present application, the evaluating key index set includes vegetation index (NDVI), humidity (WET), dryness (NDBSI), heat (LST), carbon sink (NPP) and Habitat Quality (HQ), and the evaluating key index set is used to perform feature extraction on a mine satellite map time sequence in a satellite map dataset of a mine, so as to obtain a feature set representing a mine ecological condition; main characteristics of which the total contribution rate of the characteristic components exceeds 85% are obtained through main component analysis, main characteristics of the evaluation key indexes can be replaced through data statistics selection and the like, mine ecological environment evaluation is carried out according to the main characteristics, and the ecological evaluation is divided into N grades with the preset number through experience information and the main characteristics.
Reading a time span through a satellite map data set of a mine, acquiring meteorological data of an area where the mine is located in a preset time period according to the time span, and matching the meteorological data with a mine satellite map time sequence according to a monitoring time stamp; and carrying out feature fusion on the feature set representing the ecological condition of the mine and the meteorological features to obtain fusion features.
According to the embodiment of the invention, a mine ecological environment early warning model is constructed, training is performed by utilizing a satellite map data set and mine ecological history change, prediction is performed by utilizing fusion characteristics based on the evaluation result of the current mine ecological environment, and the analysis and prediction result of the mine ecological environment is output, specifically:
constructing a mine ecological environment early warning model based on a deep learning method, wherein the mine ecological environment early warning model comprises a mine satellite map classification module and an ecological environment prediction module;
utilizing a ResNet network as a basic network of a mine satellite map classification module, introducing hole convolution to extract multi-scale features in current satellite map data, and generating feature maps with different scales;
extracting importance of corresponding features of each channel according to correlation among channels through a channel attention mechanism, combining elements in feature graphs with different scales with elements in the corresponding channels, and generating an enhanced feature graph for feature fusion;
Residual connection is carried out on the mine satellite map classification module, the feature map after feature fusion is input into a full-connection layer, judgment and classification are carried out according to preset labeling categories, and the mine satellite map classification module is trained through a satellite map data set;
setting an ecological environment prediction module through a BP neural network, acquiring ecological change characteristics through mine ecological history change, and training the ecological environment prediction module according to the ecological change characteristics;
judging the accuracy of the model after the training of the mine satellite map classification module and the ecological environment prediction module is finished, and outputting a mine ecological environment early warning model when the accuracy accords with a preset threshold value;
and inputting the evaluation result of the current mine ecological environment and the meteorological fusion characteristic representing the mine ecological condition into a trained mine ecological environment early warning model to obtain an analysis and prediction result of the mine ecological environment.
It should be noted that, in the channel attention mechanism, the feature map is compressed through global average pooling, a one-dimensional vector is obtained, the length of the one-dimensional vector is equal to the number of channels inputting the feature map, features in the one-dimensional feature are dispersed in different channels, the specific gravity of each channel is obtained through an activation function in two full-connection layers, elements in the feature map with different scales are combined with elements in the corresponding channels, the enhanced feature map is generated, the feature fusion is performed by using a Softmax function, the channel including important information is enhanced by using the channel attention mechanism, the multi-scale feature is further enhanced, so that the model selects proper scale features for classification, and the classification accuracy is improved. The method comprises the steps of setting an ecological environment prediction module through a BP neural network, learning time sequence characteristics of ecological change corresponding to mine ecological history change, inputting fusion characteristics of characteristic meteorological characteristics capable of representing mine ecological conditions according to the evaluation result of the current mine ecological environment, and obtaining analysis and prediction results of the mine ecological environment, wherein the analysis and prediction results of the mine ecological environment can be index information or grade information and the like.
The method comprises the steps of acquiring meteorological data in a monitoring interval according to the monitoring interval of current mine satellite map data and historical mine satellite map data, and extracting meteorological features according to meteorological data changes; constructing a mine ecological database based on fusion characteristics of mines at different historic times and corresponding ecological indexes, calculating similarity in the mine ecological database according to the meteorological characteristics, acquiring fusion characteristics with similarity meeting preset standards, and extracting corresponding historic ecological indexes; judging a historical ecological index change value based on the historical ecological index and the monitoring interval, and determining a current mine ecological threshold according to the historical ecological index change value and the environmental change coefficient; and acquiring an analysis and prediction result of the current mine ecological environment output by the mine ecological environment early warning model, and generating early warning prompt information if the analysis and prediction result of the current mine ecological environment is larger than the current mine ecological threshold value.
The third aspect of the present invention also provides a computer readable storage medium, where the computer readable storage medium includes a satellite-spectrum-based mine ecological identification and early warning method program, where the satellite-spectrum-based mine ecological identification and early warning method program, when executed by a processor, implements the steps of the satellite-spectrum-based mine ecological identification and early warning method according to any one of the above described steps.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. The mine ecological identification early warning method based on the satellite map is characterized by comprising the following steps of:
acquiring satellite map data of a mine by utilizing a satellite remote sensing technology, integrating the satellite map data of different angles at different times after preprocessing, generating a mine satellite map time sequence, and acquiring a satellite map data set;
extracting features of the mine satellite map time sequence, performing feature matching on the extracted features and meteorological data of the region where the mine is located, acquiring fusion features, and evaluating the current mine ecological environment;
constructing a mine ecological environment early warning model, training by using a satellite map data set and mine ecological history change, predicting by using fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment;
Comparing the analysis and prediction result of the mine ecological environment with a preset threshold value, generating an early warning prompt according to the comparison result, and displaying the early warning prompt in a preset mode;
extracting features of the mine satellite map time sequence, and matching the extracted features with meteorological data of the region where the mine is located to obtain fusion features, wherein the fusion features specifically comprise:
constructing a search tag according to mine ecology and satellite map data keywords, and searching through similarity calculation based on the search tag by utilizing a big data means to obtain data with similarity meeting a preset similarity threshold;
screening the obtained data to obtain mine ecological assessment key indexes with the correlation meeting a preset standard, and selecting a preset number of mine ecological assessment key indexes to construct an assessment key index set;
extracting features of mine satellite map time sequence in the mine satellite map data set by using the evaluation key index set to obtain a feature set representing the ecological condition of the mine;
reading a time span through a satellite map data set of a mine, acquiring meteorological data of an area where the mine is located in a preset time period according to the time span, and matching the meteorological data with a mine satellite map time sequence according to a monitoring time stamp;
Feature fusion is carried out on the feature set representing the ecological condition of the mine and the meteorological features, and fusion features are obtained;
constructing a mine ecological environment early warning model, training by utilizing a satellite map data set and mine ecological history change, predicting by utilizing fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting the analysis and prediction result of the mine ecological environment, wherein the method specifically comprises the following steps:
constructing a mine ecological environment early warning model based on a deep learning method, wherein the mine ecological environment early warning model comprises a mine satellite map classification module and an ecological environment prediction module;
utilizing a ResNet network as a basic network of a mine satellite map classification module, introducing hole convolution to extract multi-scale features in current satellite map data, and generating feature maps with different scales;
extracting importance of corresponding features of each channel according to correlation among channels through a channel attention mechanism, combining elements in feature graphs with different scales with elements in the corresponding channels, and generating an enhanced feature graph for feature fusion;
residual connection is carried out on the mine satellite map classification module, the feature map after feature fusion is input into a full-connection layer, judgment and classification are carried out according to preset labeling categories, and the mine satellite map classification module is trained through a satellite map data set;
Setting an ecological environment prediction module through a BP neural network, acquiring ecological change characteristics through mine ecological history change, and training the ecological environment prediction module according to the ecological change characteristics;
judging the accuracy of the model after the training of the mine satellite map classification module and the ecological environment prediction module is finished, and outputting a mine ecological environment early warning model when the accuracy accords with a preset threshold value;
and inputting the evaluation result of the current mine ecological environment and the meteorological fusion characteristic representing the mine ecological condition into a trained mine ecological environment early warning model to obtain an analysis and prediction result of the mine ecological environment.
2. The mine ecological identification early warning method based on satellite spectrum according to claim 1, wherein satellite spectrum data of a mine is obtained by utilizing satellite remote sensing technology, the satellite spectrum data of different angles at different times are integrated after preprocessing, a mine satellite spectrum time sequence is generated, and a satellite spectrum data set is obtained, specifically:
acquiring multispectral images containing a preset range of a mine by utilizing a satellite remote sensing technology, taking the multispectral images as satellite map data of the mine, and preprocessing the satellite map data;
Integrating and splicing the images with different angles in the same time, judging whether splicing and embedding are carried out according to the overlapping area of the two images, and selecting images with good shooting quality to cover the overlapping area according to the cloud cover condition when the overlapping area is larger than the area of the preset area;
marking the integrated and spliced satellite map data, presetting a marking category, setting a marking window according to the marking category, traversing the integrated and spliced satellite map data by using the marking window, and judging the similarity of the image features in the integrated and spliced satellite map data and the corresponding attributes of the marking window;
when the similarity meets a preset similarity standard, marking the range of the marking category in the satellite map data, and traversing by using a marking window of the next category after traversing the current marking window;
after all the marking windows are traversed, marking ranges of different marking categories are generated in the integrated and spliced satellite map data, and the satellite map data image marks at the same time are obtained;
and (3) carrying out data integration on satellite map data image marks at different times to generate a mine satellite map time sequence, and constructing a satellite map data set of the mine.
3. The mine ecological identification early warning method based on the satellite map according to claim 1, which is characterized by evaluating the current mine ecological environment, and specifically comprises the following steps:
acquiring a feature set for representing the ecological condition of the mine, carrying out principal component analysis on features of different times in the feature set, acquiring scores and feature values of the features of different times, and generating principal component sequences of the features of different times;
screening two characteristic main components at different times according to a preset contribution degree, determining a final characteristic main component by carrying out statistical analysis on the characteristic main components at different times, and acquiring ecological indexes of mines at different times according to mine ecological assessment key indexes corresponding to the final characteristic main component;
the current mine ecological environment is evaluated by utilizing mine ecological evaluation key indexes corresponding to the final characteristic main components after preprocessing and normalizing the satellite map data of the current mine;
and acquiring an ecological index change value at preset time intervals according to the ecological indexes of the mine at different times, and generating ecological change characteristics of the mine through the ecological index change value.
4. The satellite map-based mine ecological identification early warning method is characterized in that an analysis prediction result of the mine ecological environment is compared with a preset threshold value, and an early warning prompt is generated according to the comparison result, and specifically comprises the following steps:
Acquiring meteorological data in a monitoring interval according to the monitoring interval of current mine satellite map data and historical mine satellite map data, and extracting meteorological features according to meteorological data changes;
constructing a mine ecological database based on fusion characteristics of mines at different historic times and corresponding ecological indexes, calculating similarity in the mine ecological database according to the meteorological characteristics, acquiring fusion characteristics with similarity meeting preset standards, and extracting corresponding historic ecological indexes;
judging a historical ecological index change value based on the historical ecological index and the monitoring interval, and determining a current mine ecological threshold according to the historical ecological index change value and the environmental change coefficient;
and acquiring an analysis and prediction result of the current mine ecological environment output by the mine ecological environment early warning model, and generating early warning prompt information if the analysis and prediction result of the current mine ecological environment is larger than the current mine ecological threshold value.
5. The mine ecological identification early warning system based on satellite map is characterized by comprising: the mine ecological identification early warning method based on the satellite map comprises a memory and a processor, wherein the memory comprises a mine ecological identification early warning method program based on the satellite map, and the following steps are realized when the mine ecological identification early warning method program based on the satellite map is executed by the processor:
Acquiring satellite map data of a mine by utilizing a satellite remote sensing technology, integrating the satellite map data of different angles at different times after preprocessing, generating a mine satellite map time sequence, and acquiring a satellite map data set;
extracting features of the mine satellite map time sequence, performing feature matching on the extracted features and meteorological data of the region where the mine is located, acquiring fusion features, and evaluating the current mine ecological environment;
constructing a mine ecological environment early warning model, training by using a satellite map data set and mine ecological history change, predicting by using fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting analysis and prediction results of the mine ecological environment;
comparing the analysis and prediction result of the mine ecological environment with a preset threshold value, generating an early warning prompt according to the comparison result, and displaying the early warning prompt in a preset mode;
extracting features of the mine satellite map time sequence, and matching the extracted features with meteorological data of the region where the mine is located to obtain fusion features, wherein the fusion features specifically comprise:
constructing a search tag according to mine ecology and satellite map data keywords, and searching through similarity calculation based on the search tag by utilizing a big data means to obtain data with similarity meeting a preset similarity threshold;
Screening the obtained data to obtain mine ecological assessment key indexes with the correlation meeting a preset standard, and selecting a preset number of mine ecological assessment key indexes to construct an assessment key index set;
extracting features of mine satellite map time sequence in the mine satellite map data set by using the evaluation key index set to obtain a feature set representing the ecological condition of the mine;
reading a time span through a satellite map data set of a mine, acquiring meteorological data of an area where the mine is located in a preset time period according to the time span, and matching the meteorological data with a mine satellite map time sequence according to a monitoring time stamp;
feature fusion is carried out on the feature set representing the ecological condition of the mine and the meteorological features, and fusion features are obtained;
constructing a mine ecological environment early warning model, training by utilizing a satellite map data set and mine ecological history change, predicting by utilizing fusion characteristics based on the evaluation result of the current mine ecological environment, and outputting the analysis and prediction result of the mine ecological environment, wherein the method specifically comprises the following steps:
constructing a mine ecological environment early warning model based on a deep learning method, wherein the mine ecological environment early warning model comprises a mine satellite map classification module and an ecological environment prediction module;
Utilizing a ResNet network as a basic network of a mine satellite map classification module, introducing hole convolution to extract multi-scale features in current satellite map data, and generating feature maps with different scales;
extracting importance of corresponding features of each channel according to correlation among channels through a channel attention mechanism, combining elements in feature graphs with different scales with elements in the corresponding channels, and generating an enhanced feature graph for feature fusion;
residual connection is carried out on the mine satellite map classification module, the feature map after feature fusion is input into a full-connection layer, judgment and classification are carried out according to preset labeling categories, and the mine satellite map classification module is trained through a satellite map data set;
setting an ecological environment prediction module through a BP neural network, acquiring ecological change characteristics through mine ecological history change, and training the ecological environment prediction module according to the ecological change characteristics;
judging the accuracy of the model after the training of the mine satellite map classification module and the ecological environment prediction module is finished, and outputting a mine ecological environment early warning model when the accuracy accords with a preset threshold value;
and inputting the evaluation result of the current mine ecological environment and the meteorological fusion characteristic representing the mine ecological condition into a trained mine ecological environment early warning model to obtain an analysis and prediction result of the mine ecological environment.
6. The mine ecological identification and early warning system based on satellite spectrum according to claim 5, wherein satellite spectrum data of a mine is obtained by utilizing satellite remote sensing technology, the satellite spectrum data of different angles at different times are integrated after preprocessing, a mine satellite spectrum time sequence is generated, and a satellite spectrum data set is obtained, specifically:
acquiring multispectral images containing a preset range of a mine by utilizing a satellite remote sensing technology, taking the multispectral images as satellite map data of the mine, and preprocessing the satellite map data;
integrating and splicing the images with different angles in the same time, judging whether splicing and embedding are carried out according to the overlapping area of the two images, and selecting images with good shooting quality to cover the overlapping area according to the cloud cover condition when the overlapping area is larger than the area of the preset area;
marking the integrated and spliced satellite map data, presetting a marking category, setting a marking window according to the marking category, traversing the integrated and spliced satellite map data by using the marking window, and judging the similarity of the image features in the integrated and spliced satellite map data and the corresponding attributes of the marking window;
When the similarity meets a preset similarity standard, marking the range of the marking category in the satellite map data, and traversing by using a marking window of the next category after traversing the current marking window;
after all the marking windows are traversed, marking ranges of different marking categories are generated in the integrated and spliced satellite map data, and the satellite map data image marks at the same time are obtained;
and (3) carrying out data integration on satellite map data image marks at different times to generate a mine satellite map time sequence, and constructing a satellite map data set of the mine.
7. The satellite map-based mine ecological identification early warning system according to claim 5, wherein the evaluation of the current mine ecological environment is specifically as follows:
acquiring a feature set for representing the ecological condition of the mine, carrying out principal component analysis on features of different times in the feature set, acquiring scores and feature values of the features of different times, and generating principal component sequences of the features of different times;
screening two characteristic main components at different times according to a preset contribution degree, determining a final characteristic main component by carrying out statistical analysis on the characteristic main components at different times, and acquiring ecological indexes of mines at different times according to mine ecological assessment key indexes corresponding to the final characteristic main component;
The current mine ecological environment is evaluated by utilizing mine ecological evaluation key indexes corresponding to the final characteristic main components after preprocessing and normalizing the satellite map data of the current mine;
and acquiring an ecological index change value at preset time intervals according to the ecological indexes of the mine at different times, and generating ecological change characteristics of the mine through the ecological index change value.
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