CN117390471B - Hydrogeological data management method and system - Google Patents
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Abstract
The invention relates to the technical field of data processing, in particular to a hydrogeological data management method and system, comprising the following steps: collecting an underground water quality data sequence and place position data; obtaining an initial comprehensive dimension difference value according to the underground water quality data sequence; obtaining a place space distance according to the place position data; obtaining an initial comprehensive dimension distance according to the initial comprehensive dimension difference value and the place space distance; obtaining a comprehensive dimension trend vector according to the overall change direction of all the underground water data between the sites; obtaining a corrected comprehensive dimension distance according to the comprehensive dimension trend vector and the initial comprehensive dimension distance; acquiring a comparison place sequence, and obtaining a density index according to the ratio condition of the comprehensive dimension distance in the comparison place sequence; and carrying out classified management on the groundwater data of all places according to the density index. The invention reduces the error of the clustering result and improves the accuracy of the clustering result.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a hydrogeological data management method and system.
Background
The distribution conditions of the underground water at different places are different, and in order to know the distribution conditions of the underground water, a reasonable exploitation scheme is formulated and related data of the underground water at different places are required to be divided. The traditional ISODATA iterative self-organizing clustering determines a clustering center through an average value in the related data of the underground water, and obtains a final clustering result according to the related data of the underground water by the clustering center, but the related data of the underground water can be influenced by the underground water distribution condition among different places, so that the obtained clustering center is not necessarily reasonable, and the reliability of the final clustering result is reduced.
Disclosure of Invention
The invention provides a hydrogeological data management method and a hydrogeological data management system, which aim to solve the existing problems: the related data of the groundwater can be influenced by the groundwater distribution condition among different places, so that the clustering center determined by the traditional ISODATA iterative self-organizing clustering is not necessarily reasonable, and the reliability of the final clustering result is reduced.
The invention relates to a hydrogeological data management method and a hydrogeological data management system, which adopt the following technical scheme:
one embodiment of the present invention provides a method of hydrogeologic data management, the method comprising the steps of:
collecting an underground water quality data sequence and place position data of a plurality of places, wherein the underground water quality data sequence comprises a plurality of underground water data, and each underground water data corresponds to one hydrogeological data type;
obtaining initial comprehensive dimension difference values of any two places according to the difference of groundwater data of the same hydrogeologic data type among different places; obtaining the place space distance of any two places according to the place position data of different places; obtaining initial comprehensive dimension distances of any two places according to the initial comprehensive dimension difference values and the place space distances among different places, wherein the initial comprehensive dimension distances are used for describing initial differences of underground water distribution conditions among the places;
obtaining comprehensive dimension trend vectors of all the places according to the overall change directions and change values of all the groundwater data among different places; correcting the initial comprehensive dimension distance according to the change condition of the comprehensive dimension trend vector between different places to obtain a corrected comprehensive dimension distance of any two places, wherein the corrected comprehensive dimension distance is used for describing the final difference of underground water distribution conditions between places; for any place, marking each place except the place as a comparison place, arranging all the comparison places according to the sequence from the small to the large of the correction comprehensive dimension distance, marking the arranged sequence as a comparison place sequence, and dividing a plurality of density place segments from the comparison place sequence; obtaining a density index of each place according to the ratio situation of comprehensive dimension distances among different places in the density place section;
and carrying out classified management on the groundwater data of all places according to the density index.
Preferably, the method for obtaining the initial comprehensive dimension difference value of any two places according to the difference of the groundwater data of the same hydrogeological data type among different places comprises the following specific steps:
in the method, in the process of the invention,indicate->Personal place and->Initial comprehensive dimension difference values for individual sites; />Representing the number of all groundwater data in each groundwater data sequence; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />Representation ofFirst->Foundation water data sequence of individual sites +.>Groundwater data; />The representation takes absolute value.
Preferably, the method for obtaining the location space distance between any two locations according to the location position data of different locations includes the following specific steps:
will be the firstPersonal place and->The Euclidean distance of the location position data between the individual locations is recorded as +.>Personal place and->Initial spatial distance of the individual sites; and obtaining initial spatial distances between any two places, carrying out linear normalization on all the initial spatial distances, and recording the normalized initial spatial distances as the place spatial distances.
Preferably, the method for obtaining the initial comprehensive dimension distance of any two places according to the initial comprehensive dimension difference value and the place space distance between different places includes the following specific steps:
in the method, in the process of the invention,indicate->Personal place and->Initial comprehensive dimension distance of individual sites; />Indicate->Personal place and->Site space distance of the individual sites; />Indicate->Personal place and->Initial comprehensive dimension difference values for individual sites; />Representing the maximum value of the initial comprehensive dimension difference values of all any two places; />Representing the number of all groundwater data in each groundwater data sequence; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />Represent the firstFoundation water data sequence of individual sites +.>Groundwater data; />Water data sequence of groundwater representing all places +.>Standard deviation of the groundwater data; />Representing a preset hyper-parameter.
Preferably, the comprehensive dimension trend vector of each place is obtained according to the overall change direction and change value of all the groundwater data among different places, and the specific method comprises the following steps:
for any one comparison site of any one site, the first site is used forWater data and control site +.>Taking the absolute value of the difference value of the groundwater data as the vector size, taking the direction from the place to the reference place as the vector direction, constructing a vector according to the vector size and the vector direction, and marking the constructed vector as the +.>A groundwater dimension trend vector;
acquiring all the groundwater dimension trend vectors of the location and the comparison location, and marking the vector obtained by adding all the groundwater dimension trend vectors as the comparison dimension vector of the location and the comparison location; and obtaining comparison dimension vectors of the places and all comparison places, and marking the comparison dimension vector with the largest modulus as a comprehensive dimension trend vector of the places.
Preferably, the method for correcting the initial comprehensive dimension distance according to the change condition of the comprehensive dimension trend vector between different places to obtain the corrected comprehensive dimension distance of any two places includes the following specific steps:
in the method, in the process of the invention,indicate->Personal place and->Correcting comprehensive dimension distances of the individual sites; />Representing the number of all groundwater dimension trend vectors in the comprehensive dimension trend vector of each place; />Indicate->The +.f. in the comprehensive dimension trend vector of the individual sites>A groundwater dimension trend vector; />Indicate->The +.f. in the comprehensive dimension trend vector of the individual sites>A groundwater dimension trend vector; />Indicate->Personal place and->Initial comprehensive dimension distance of individual sites; />Representing taking the L2 norm.
Preferably, the method for dividing the control site sequence into a plurality of density site segments comprises the following specific steps:
and presetting the quantity T1 of the comparison sites for the comparison site sequence of any site, and marking the data segment formed by the first T1 comparison sites in the comparison site sequence as a density site segment.
Preferably, the method for obtaining the density index of each location according to the ratio of the comprehensive dimension distances between different locations in the density location section comprises the following specific steps:
marking any one place as a target place;
in the method, in the process of the invention,a density index representing a target location; />A number of all control sites in the density site segment representing the target site; />The +.f in the Density location section representing the destination location>Correcting comprehensive dimension distances between the individual sites and the target sites; />A number of all control sites in the sequence of control sites representing the target site; />Control site sequence representing the target site +.>The corrected integrated dimension distance of the individual location from the target location.
Preferably, the method for classifying and managing the groundwater data of all places according to the density index comprises the following specific steps:
presetting an initial cluster center number T2, taking the initial cluster center number T2 as an initial cluster center number, carrying out ISODATA iterative self-organizing clustering on all places according to the initial cluster center number to obtain a plurality of initial cluster clusters, and carrying out ISODATA iterative self-organizing clustering on places with the maximum density index in each initial cluster as new cluster centers to obtain a plurality of final cluster clusters; and respectively inputting all the groundwater data corresponding to all the sites in each final cluster into different modules in the hydrogeologic database for storage.
The invention also provides a hydrogeologic data management system, which comprises a memory and a processor, wherein the processor executes a computer program stored in the memory to realize the steps of the hydrogeologic data management method.
The technical scheme of the invention has the beneficial effects that: obtaining an initial comprehensive dimension difference value according to the difference of the underground water data, obtaining a place space distance according to the place position data, obtaining an initial comprehensive dimension distance according to the initial comprehensive dimension difference value and the place space distance, correcting the initial comprehensive dimension distance according to the overall change direction and the change value of the underground water data to obtain a corrected comprehensive dimension distance, obtaining a density index according to the occupation ratio condition of the comprehensive dimension distance between places, and carrying out classification management on all places according to the density index; the initial comprehensive dimension distance reflects the initial difference of underground water distribution conditions among different places, the corrected comprehensive dimension distance reflects the final difference of underground water distribution conditions among different places, and the density index reflects the relevance of underground water data of other places around the places; the obtained clustering center is more reasonable, errors existing in the clustering result are reduced, and the accuracy of the clustering result is improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of a method for hydrogeologic data management according to the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description refers to the specific implementation, structure, characteristics and effects of a hydrogeological data management method and system according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of a hydrogeological data management method and system provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a flowchart illustrating steps of a method for managing hydrogeological data according to an embodiment of the present invention is shown, the method includes the steps of:
step S001: underground water quality data sequences and site position data of a plurality of sites are collected.
It should be noted that, the conventional ISODATA iterative self-organizing cluster determines a cluster center through the average value in the related data of the groundwater, and obtains a final clustering result according to the related data of the groundwater by the cluster center, but the related data of the groundwater is affected by the groundwater distribution condition among different places, so that the obtained cluster center is not necessarily reasonable, and the reliability of the final clustering result is reduced. For this purpose, the present embodiment proposes a hydrogeological data management method.
Specifically, in order to implement the method for managing hydrogeological data according to the present embodiment, the present embodiment is not described by taking five hydrogeological data types, such as location data, groundwater level data, groundwater pressure data, groundwater flow speed data, and groundwater quality data, as examples, for a certain type of hydrogeological data, and the specific process of acquiring a groundwater quality data sequence includes: acquiring the latest recorded place position data, ground water level data, ground water pressure data, ground water flow rate data and ground water quality data of 30 different places in the same area from a hydrogeological database, wherein the ground water level data, the ground water pressure data, the ground water flow rate data and the ground water quality data are all recorded as one ground water data; taking any place as an example, sequentially arranging the groundwater level data, the groundwater pressure data, the groundwater flow speed data and the groundwater quality data of the place, and recording the arranged sequence as a groundwater data sequence; and acquiring the groundwater data sequence of each place. In addition, the number of the selected different places may be determined according to the specific implementation, and the embodiment is not limited specifically.
Up to this point, the above method is used to obtain underground water quality data sequences and location position data of a plurality of locations.
Step S002: obtaining initial comprehensive dimension difference values of any two places according to the difference of groundwater data of the same hydrogeologic data type among different places; obtaining the place space distance of any two places according to the place position data of different places; and obtaining the initial comprehensive dimension distance of any two places according to the initial comprehensive dimension difference values among different places and the place space distance.
It should be noted that, for the same region, the topography at different locations is not completely the same, so that the corresponding geological conditions are different; the groundwater is mainly formed by the infiltration of surface water on the surface of the landform into the surface soil, and in the process of the infiltration of the surface water into the surface soil, part of mineral elements in the soil can be taken away and finally remain in the groundwater formed by the mineral elements. In an actual environment, mineral elements in the groundwater have sensitivity to soil environments around the groundwater to different degrees, and the groundwater around the groundwater is correspondingly driven to move to different degrees, so that the overall distribution condition of the groundwater is affected; according to the embodiment, the initial comprehensive dimension distance of any two places is initially obtained by comprehensively considering the influence relation between the groundwater data of each dimension, and the subsequent operation analysis processing is carried out according to the initial comprehensive dimension distance.
Specifically, according to the firstPersonal place and->Differences between groundwater data of the same hydrogeologic data type of the individual sites, resulting in +.>Personal place and->Initial integrated dimension difference values for individual sites. Wherein->Personal place and->The calculation method of the initial comprehensive dimension difference value of each place comprises the following steps:
in the method, in the process of the invention,indicate->Personal place and->Initial comprehensive dimension difference values for individual sites; />Representing the number of all groundwater data in each groundwater data sequence; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />The representation takes absolute value. Wherein if%>Personal place and->Personal placeThe larger the initial integrated dimension difference value of (2), the description of +.>Ground water and->The larger the overall gap between groundwater at the individual sites, reflecting +.f after the initial judgment>Ground water and->The less likely groundwater from a site will belong to the same class of groundwater.
Further, the first step isPersonal place and->The Euclidean distance of the location position data between the individual locations is recorded as +.>Personal place and->Initial spatial distance of the individual sites; and obtaining initial spatial distances between any two places, carrying out linear normalization on all the initial spatial distances, and recording the normalized initial spatial distances as the place spatial distances. The obtaining of the euclidean distance is a well-known technique, and this embodiment will not be described in detail.
Further, according to the firstPersonal place and->The initial integrated dimension difference value of the individual places and the space distance of the places are obtained to obtain the +.>Personal place and->Initial integrated dimension distance for individual sites. Wherein->Personal place and->The method for calculating the initial comprehensive dimension distance of each place comprises the following steps:
in the method, in the process of the invention,indicate->Personal place and->Initial comprehensive dimension distance of individual sites; />Indicate->Personal place and->Site space distance of the individual sites; />Indicate->Personal place and->Initial comprehensive dimension difference values for individual sites; />Representing the maximum value of the initial comprehensive dimension difference values of all any two places; />Representing the number of all groundwater data in each groundwater data sequence; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />Represent the firstFoundation water data sequence of individual sites +.>Groundwater data; />Water data sequence of groundwater representing all places +.>Standard deviation of the groundwater data; />Representing a preset hyper-parameter, preset +.>For preventing denominator from being 0. Wherein if%>Personal place and->The larger the initial comprehensive dimension distance of the individual places, the description is the +.>Personal place and->The less similar the groundwater distribution is at the individual sites. And acquiring the initial comprehensive dimension distance of all any two places.
So far, the initial comprehensive dimension distance of all any two places is obtained through the method.
Step S003: obtaining comprehensive dimension trend vectors of all the places according to the overall change directions and change values of all the groundwater data among different places; correcting the initial comprehensive dimension distance according to the change condition of the comprehensive dimension trend vector among different places to obtain a corrected comprehensive dimension distance of any two places; acquiring a comparison place sequence, and dividing a plurality of density place segments from the comparison place sequence; and obtaining the density index of each place according to the ratio condition of the comprehensive dimension distance between different places in the density place section.
If the groundwater at any place has flowing condition, the groundwater at the place is continuously changed and the place along a certain direction is changed, so that the groundwater data of each dimension depending on the changing state of the groundwater has a certain degree of directivity due to the flowing condition and has a certain directivity to the places of partial directions; the obtained initial comprehensive dimension distance only considers the change condition of the groundwater data of each dimension between two places, and does not consider the trend of the change direction of the groundwater data of each dimension between two places; therefore, in order to ensure the accuracy of the final clustering result, in the embodiment, the initial comprehensive dimension distance is corrected to obtain the corrected comprehensive dimension distance by analyzing the change direction of the groundwater data in different dimensions among the places, and the category density index of the places is obtained according to the corrected comprehensive dimension distance so as to facilitate subsequent analysis and processing.
Specifically, taking any place as an example, each place except the place is marked as a control place; taking any one of the comparison sites as an example, the first site is selectedWater data and the control site +.>Taking the absolute value of the difference value of the groundwater data as vector magnitude, taking the direction from the place to the comparison place as vector direction, constructing a vector according to the vector magnitude and the vector direction, and marking the vector as the +.>Obtaining all the groundwater dimension trend vectors of the place and the comparison place, and marking the vector obtained by adding all the groundwater dimension trend vectors as the comparison dimension vector of the place and the comparison place; obtaining the comparison dimension vector of the place and all comparison places, and marking the comparison dimension vector with the largest modulus as the comprehensive dimension trend vector of the place; and acquiring comprehensive dimension trend vectors of all the places. Wherein the contrast dimension vector of the place and the contrast place comprises a plurality of underground water dimension trend vectors; the process of constructing the vector according to the vector size and the vector direction is well known, and the description of this embodiment is omitted.
Further, according to the firstComprehensive dimension trend vector of individual places, < +.>Comprehensive dimension trend vector of individual places, and +.>Personal place and->The initial comprehensive dimension distance of each place is obtained to obtain the +.>Personal place and->The correction of the individual sites synthesizes the dimension distances. Wherein->Personal place and->The calculation method of the corrected comprehensive dimension distance of each place comprises the following steps:
in the method, in the process of the invention,indicate->Personal place and->Correcting comprehensive dimension distances of the individual sites; />Representing the number of all groundwater dimension trend vectors in the comprehensive dimension trend vector of each place; />Indicate->The +.f. in the comprehensive dimension trend vector of the individual sites>A groundwater dimension trend vector; />Indicate->The +.f. in the comprehensive dimension trend vector of the individual sites>A groundwater dimension trend vector; />Indicate->Personal place and->Initial comprehensive dimension distance of individual sites; />Representing taking the L2 norm, the output result is a scalar. Wherein->Place to->The larger the corrected integrated dimension distance of the individual places, the description of +.>Place to->The correlation between the relevant groundwater data is actually small at each location. And acquiring the corrected comprehensive dimension distance of all the two places.
Further, taking any place as an example, all the comparison places of the place are arranged according to the order of the correction comprehensive dimension distance from small to large, and the arranged sequence is recorded as a comparison place sequence. Presetting a comparison site number T1, wherein the present embodiment is described by taking t1=20 as an example, and the present embodiment is not particularly limited, wherein T1 may be determined according to specific implementation cases; the data segment formed by the first T1 comparison sites in the comparison site sequence is recorded as the density site segment of the site.
Further, a density index of the location is obtained according to the density location section of the location. The method for calculating the density index of the place comprises the following steps:
in the method, in the process of the invention,a density index representing the location; />Representing the number of all control sites in the density site segment for that site; />The +.f in the density location section representing the location>The corrected comprehensive dimension distance between each place and the place; />A number of all control sites in the sequence of control sites representing the site; />Control site sequence representing the site +.>The individual sites are a modified integrated dimensional distance from the site. And if the density index of the place is larger, the relation between the groundwater data of other places around the place and the groundwater data of the place is shown. And acquiring density indexes of all places.
Thus, the density index of all places is obtained through the method.
Step S004: and carrying out classified management on the groundwater data of all places according to the density index.
Specifically, an initial cluster center number T2 is preset, where the embodiment is described by taking t2=5 as an example, and the embodiment is not specifically limited, where T2 may be determined according to specific implementation conditions; taking the number T2 of initial clustering centers as the number of initial clustering centers, clustering all places according to the number of the initial clustering centers to obtain a plurality of initial clustering clusters, and continuously performing iterative clustering on places with the maximum density indexes in each initial clustering cluster as new clustering centers to obtain a plurality of final clustering clusters; and respectively inputting all the groundwater data corresponding to all the sites in each final cluster into different modules in the hydrogeologic database for storage. The process of clustering according to the number of initial clustering centers and the process of continuously performing iteration according to new clustering centers to obtain a final cluster are all known contents of the ISODATA iterative self-organizing clustering algorithm, and are not described in detail in this embodiment. In addition, the isadata iterative self-organizing clustering algorithm needs to preset the number of samples MinPts and the maximum number of iterations in the minimum cluster, and in this embodiment, the number of samples minpts=5 and the maximum number of iterations in the minimum cluster is 30, which are described by taking the example as an example, and the embodiment is not specifically limited, where the number of samples minpts=5 and the maximum number of iterations in the minimum cluster may be determined according to specific implementation conditions.
Through the steps, the hydrogeological data management method is completed.
Another embodiment of the present invention provides a hydrogeologic data management system, the system comprising a memory and a processor that, when executing a computer program stored by the memory, performs the following operations:
collecting an underground water quality data sequence and place position data of a plurality of places, wherein the underground water quality data sequence comprises a plurality of underground water data, and each underground water data corresponds to one hydrogeological data type;
obtaining initial comprehensive dimension difference values of any two places according to the difference of groundwater data of the same hydrogeologic data type among different places; obtaining the place space distance of any two places according to the place position data of different places; obtaining initial comprehensive dimension distances of any two places according to the initial comprehensive dimension difference values and the place space distances among different places, wherein the initial comprehensive dimension distances are used for describing initial differences of underground water distribution conditions among the places;
obtaining comprehensive dimension trend vectors of all the places according to the overall change directions and change values of all the groundwater data among different places; correcting the initial comprehensive dimension distance according to the change condition of the comprehensive dimension trend vector between different places to obtain a corrected comprehensive dimension distance of any two places, wherein the corrected comprehensive dimension distance is used for describing the final difference of underground water distribution conditions between places; for any place, marking each place except the place as a comparison place, arranging all the comparison places according to the sequence from the small to the large of the correction comprehensive dimension distance, marking the arranged sequence as a comparison place sequence, and dividing a plurality of density place segments from the comparison place sequence; obtaining a density index of each place according to the ratio situation of comprehensive dimension distances among different places in the density place section;
and carrying out classified management on the groundwater data of all places according to the density index.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of hydrogeologic data management, the method comprising the steps of:
collecting an underground water quality data sequence and place position data of a plurality of places, wherein the underground water quality data sequence comprises a plurality of underground water data, and each underground water data corresponds to one hydrogeological data type;
obtaining initial comprehensive dimension difference values of any two places according to the difference of groundwater data of the same hydrogeologic data type among different places; obtaining the place space distance of any two places according to the place position data of different places; obtaining initial comprehensive dimension distances of any two places according to the initial comprehensive dimension difference values and the place space distances among different places, wherein the initial comprehensive dimension distances are used for describing initial differences of underground water distribution conditions among the places;
obtaining comprehensive dimension trend vectors of all the places according to the overall change directions and change values of all the groundwater data among different places; correcting the initial comprehensive dimension distance according to the change condition of the comprehensive dimension trend vector between different places to obtain a corrected comprehensive dimension distance of any two places, wherein the corrected comprehensive dimension distance is used for describing the final difference of underground water distribution conditions between places; for any place, marking each place except the place as a comparison place, arranging all the comparison places according to the sequence from the small to the large of the correction comprehensive dimension distance, marking the arranged sequence as a comparison place sequence, and dividing a plurality of density place segments from the comparison place sequence; obtaining a density index of each place according to the ratio situation of comprehensive dimension distances among different places in the density place section;
and carrying out classified management on the groundwater data of all places according to the density index.
2. The method for managing hydrogeologic data according to claim 1, wherein the obtaining the initial integrated dimension difference value of any two places according to the difference of groundwater data of the same hydrogeologic data type among different places comprises the following specific steps:
in the method, in the process of the invention,indicate->Personal place and->Initial comprehensive dimension difference values for individual sites; />Representing the number of all groundwater data in each groundwater data sequence; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />The representation takes absolute value.
3. The hydrogeologic data management method according to claim 1, wherein the obtaining the place space distance of any two places according to the place position data of different places comprises the following specific steps:
will be the firstPersonal place and->The Euclidean distance of the location position data between the individual locations is recorded as +.>Personal place and->Initial spatial distance of the individual sites; and obtaining initial spatial distances between any two places, carrying out linear normalization on all the initial spatial distances, and recording the normalized initial spatial distances as the place spatial distances.
4. The method for managing hydrogeologic data according to claim 1, wherein the obtaining the initial comprehensive dimension distance of any two places according to the initial comprehensive dimension difference value and the place space distance between different places comprises the following specific steps:
in the method, in the process of the invention,indicate->Personal place and->Initial comprehensive dimension distance of individual sites; />Indicate->Personal place and->Site space distance of the individual sites; />Indicate->Personal place and->Initial comprehensive dimension difference values for individual sites; />Representing the maximum value of the initial comprehensive dimension difference values of all any two places; />Representing the number of all groundwater data in each groundwater data sequence; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />Indicate->Foundation water data sequence of individual sites +.>Groundwater data; />Water data sequence of groundwater representing all places +.>Standard deviation of the groundwater data; />Representing a preset hyper-parameter.
5. The method for managing hydrogeologic data according to claim 1, wherein the obtaining the comprehensive dimension trend vector for each location according to the overall change direction and change value of all groundwater data between different locations comprises the following specific steps:
for any one comparison site of any one site, the first site is used forWater data and control site +.>Taking the absolute value of the difference value of the groundwater data as the vector size, taking the direction from the place to the reference place as the vector direction, constructing a vector according to the vector size and the vector direction, and marking the constructed vector as the +.>A groundwater dimension trend vector;
acquiring all the groundwater dimension trend vectors of the location and the comparison location, and marking the vector obtained by adding all the groundwater dimension trend vectors as the comparison dimension vector of the location and the comparison location; and obtaining comparison dimension vectors of the places and all comparison places, and marking the comparison dimension vector with the largest modulus as a comprehensive dimension trend vector of the places.
6. The method for managing hydrogeologic data according to claim 5, wherein the correcting the initial comprehensive dimension distance according to the change condition of the comprehensive dimension trend vector between different sites to obtain the corrected comprehensive dimension distance of any two sites comprises the following specific steps:
in the method, in the process of the invention,indicate->Personal place and->Correcting comprehensive dimension distances of the individual sites; />Representing the number of all groundwater dimension trend vectors in the comprehensive dimension trend vector of each place; />Indicate->The +.f. in the comprehensive dimension trend vector of the individual sites>A groundwater dimension trend vector; />Indicate->The +.f. in the comprehensive dimension trend vector of the individual sites>A groundwater dimension trend vector; />Indicate->Personal place and->Initial comprehensive dimension distance of individual sites; />Representing taking the L2 norm.
7. The method for managing hydrogeologic data according to claim 1, wherein the dividing the density of the site segments from the control site sequence comprises the following specific steps:
and presetting the quantity T1 of the comparison sites for the comparison site sequence of any site, and marking the data segment formed by the first T1 comparison sites in the comparison site sequence as a density site segment.
8. The method for managing hydrogeologic data according to claim 1, wherein the obtaining the density index of each location according to the ratio of the comprehensive dimension distances between different locations in the density location section comprises the following specific steps:
marking any one place as a target place;
in the method, in the process of the invention,a density index representing a target location; />A number of all control sites in the density site segment representing the target site; />The +.f in the Density location section representing the destination location>Correcting comprehensive dimension distances between the individual sites and the target sites; />A number of all control sites in the sequence of control sites representing the target site; />Control site sequence representing the target site +.>The corrected integrated dimension distance of the individual location from the target location.
9. The hydrogeologic data management method according to claim 1, wherein the classification management of groundwater data of all sites according to the density index comprises the following specific steps:
presetting an initial cluster center number T2, taking the initial cluster center number T2 as an initial cluster center number, carrying out ISODATA iterative self-organizing clustering on all places according to the initial cluster center number to obtain a plurality of initial cluster clusters, and carrying out ISODATA iterative self-organizing clustering on places with the maximum density index in each initial cluster as new cluster centers to obtain a plurality of final cluster clusters; and respectively inputting all the groundwater data corresponding to all the sites in each final cluster into different modules in the hydrogeologic database for storage.
10. A hydrogeologic data management system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the computer program when executed by the processor implements the steps of a hydrogeologic data management method as claimed in any of claims 1-9.
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