A system for screening and determining geochemical exploration indicator elements

Abstract

The present invention discloses a system for screening and determining geochemical exploration index elements, which relates to the technical field of geochemical exploration. The system includes a geochemical exploration data collection module, an exploration positioning module, an index element screening module, and an index element determination module. The geochemical exploration data collection module collects geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data, and positioning data, and preprocesses the collected data. The index element screening module is used to combine the volcanic rock data, physical environment data, and chemical measurement data to screen the exploration index elements, and then optimize the geochemical exploration positioning map of the rock. The geochemical exploration data collection technology, multi-module collaborative analysis technology, and geochemical exploration positioning map drawing technology in the system of the present invention are closely combined with modern information technology, significantly enhancing the degree of intelligence in the process of screening and determining geochemical exploration index elements.

Description

Technical Field

[0001] The present invention relates to the technical field of geochemical exploration, and specifically relates to a system for screening and determining indicator elements in geochemical exploration. Background Art

[0002] Geochemical exploration plays an important role in the fields of mineral resource exploration, environmental monitoring, and geological research. The key lies in accurately screening and determining indicator elements. However, current technical means have many limitations. Traditional methods for screening geochemical exploration indicator elements mainly rely on empirical judgment and simple data analysis, lacking systematicness and scientificity. Moreover, the geological environment is complex and diverse, and the interaction relationships between elements are subtle. It is difficult to comprehensively and accurately identify indicator elements closely related to the target ore species or geological phenomena based on experience alone, easily missing key information, resulting in low exploration efficiency and missing potential mineral resources. In addition, with the expansion of the exploration scope and the in-depth research, in the face of a large amount of geochemical data, traditional methods are unable to handle and analyze the data effectively. The amount of data generated by modern high-precision geochemical analysis instruments has increased exponentially, and traditional data processing and screening methods cannot fully explore its value. In addition, the geological conditions vary greatly in different regions, and the existing general screening models are difficult to adapt to diverse geological backgrounds. Therefore, it is extremely urgent to develop a scientific, efficient, and adaptable system for screening and determining geochemical exploration indicator elements to meet the needs of modern geological exploration work.

[0003] Although there have been great progress in the field of geochemical exploration in the prior art, there are still some problems to be optimized. The existing geochemical exploration technologies are difficult to comprehensively integrate various types of geochemical exploration data to screen the indicator elements of rock regions based on geochemical exploration, resulting in low accuracy in screening geochemical exploration indicator elements. In addition, the existing technologies lack accurate positioning of the determined indicator elements, affecting the subsequent process of determining geochemical exploration indicator elements. Summary of the Invention

[0004] To achieve the above objectives, the present invention is realized through the following technical solutions: A system for screening and determining geochemical exploration indicator elements includes a geochemical exploration data collection module, an exploration positioning module, an indicator element screening module, and an indicator element determination module, wherein each module is communicatively connected.

[0005] The geochemical exploration data collection module collects geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data, and positioning data, and preprocesses the collected data, providing data support for the implementation of subsequent module functions.

[0006] The exploration positioning module draws a geochemical exploration positioning map of rocks through the preprocessed positioning data, achieving precise positioning of each small rock area.

[0007] The index element screening module is used to screen exploration index elements by combining volcanic rock data, physical environment data, and chemical measurement data, thereby optimizing the geochemical exploration positioning map of rocks.

[0008] The index element determination module analyzes the optimized geochemical exploration positioning map of rocks and generates a report on the determination of index elements for the rock target research area based on geochemical exploration.

[0009] A further improvement of the technical solution of the present invention is that the index element screening module is divided into a magma exploration unit, an index element exploration unit, and a comprehensive screening unit. The functions of each unit are as follows:

[0010] The magma exploration unit estimates the magma activity index using the preprocessed volcanic rock data.

[0011] The index element exploration unit calculates the index element anomaly index and the index element correlation coefficient respectively through the preprocessed chemical measurement data.

[0012] The comprehensive screening unit constructs an exploration index element screening model based on the magma activity index, the index element anomaly index, the index element correlation coefficient, and the preprocessed physical environment data, and then analyzes the types of screened index elements and maps the types of screened index elements to the geochemical exploration positioning map of rocks.

[0013] A further improvement of the technical solution of the present invention is that in the geochemical exploration data collection module, the process of collecting geochemical exploration data includes:

[0014] The rock target research area based on geochemical exploration is divided into several small rock areas, and different types of collection devices are deployed to collect volcanic rock data, physical environment data, chemical measurement data, and positioning data of each small rock area. The collection devices include geological hammers, X-ray fluorescence spectrometers, pH meters, gravimeters, magnetometers, inductively coupled plasma mass spectrometers, and GPS receivers.

[0015] The volcanic rock data includes the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of volcanic rock samples; the physical environment data is the gravity and magnetism of each small rock area; the chemical measurement data includes the metal element content, non-metal element content, and rare earth element content of each small rock area; the positioning data is the longitude and latitude coordinates of each small rock area.

[0016] Collect volcanic rock samples using a geological hammer. Combine with an X-ray fluorescence spectrometer to collect the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, and potassium content in the volcanic rock samples. Use a pH meter to collect the pH value of the volcanic rock samples; collect the gravity and magnetic force of each small rock area through a gravimeter and a magnetometer respectively; use an X-ray fluorescence spectrometer to collect the metal element content and non-metal element content of each small rock area, and use an inductively coupled plasma mass spectrometer to collect the rare earth element content of each small rock area. Use a GPS receiver to collect the longitude and latitude coordinates of each small rock area;

[0017] Perform data cleaning and data standardization processing on the collected volcanic rock data, physical environment data, chemical measurement data, and positioning data. Assign timestamps to the volcanic rock data, physical environment data, chemical measurement data, and positioning data, and adjust the timestamps to achieve the synchronization of the collection times of the volcanic rock data, physical environment data, chemical measurement data, and positioning data;

[0018] Integrate the preprocessed physical environment data and chemical measurement data to generate a geochemical exploration dataset. Divide the geochemical exploration dataset into a training set and a test set, where the ratio of the training set to the test set is 8:2.

[0019] A further improvement of the technical solution of the present invention lies in: for the exploration positioning module, the process of drawing a rock geochemical exploration positioning map includes:

[0020] Organize the longitude and latitude coordinates of each small rock area into a CSV format, and import the longitude and latitude coordinates of each small rock area after converting the format into GIS software;

[0021] Set coordinate points for each imported small rock area, number each set coordinate point, and correspond the coordinate point numbers with the small rock area numbers;

[0022] Associate each coordinate point with the longitude and latitude coordinates of the corresponding small rock area, and add the annotation of the corresponding longitude and latitude coordinates to each coordinate point to represent the positioning information of the small rock area, thereby realizing the drawing of the rock geochemical exploration positioning map.

[0023] A further improvement of the technical solution of the present invention lies in: for the magma exploration unit, the process of estimating the magma activity index includes:

[0024] Perform normalization processing on the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples, and map the values of each item of volcanic rock data to between 0 and 1;

[0025] Weights are assigned to the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples respectively. Using the weighted summation method, the magmatic activity index is evaluated and integrated into the geochemical exploration dataset;

[0026] The specific evaluation process is as follows:

[0027]

[0028] Among them, is the magmatic activity index, , , , , , , and are the weights of the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples respectively, , , , , , , and are the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples respectively.

[0029] A further improvement in the technical solution of the present invention is that the calculation process of the indicator element anomaly index for the indicator element exploration unit includes:

[0030] Extract the background metal element content, background non-metal element content, and background rare earth content of each small rock area in the historical rock target research area from the geological survey bureau database;

[0031] Calculate the ratio of the metal element content to the background metal element content to obtain the metal element anomaly index; calculate the ratio of the non-metal element content to the background non-metal element content to obtain the non-metal element anomaly index; calculate the ratio of the rare earth element content to the background rare earth content to obtain the rare earth element anomaly index;

[0032] Weights are assigned to the metal element anomaly index, non-metal element anomaly index, and rare earth element anomaly index. Combining the weighted summation method, the indicator element anomaly index is calculated and integrated into the geochemical exploration dataset. The calculation process includes:

[0033]

[0034] Among them, is the indicator element anomaly index; , and are the weights of the metal element anomaly index, the non-metal element anomaly index, and the rare earth element anomaly index, respectively; , and are the metal element anomaly index, the non-metal element anomaly index, and the rare earth element anomaly index, respectively.

[0035] A further improvement of the technical solution of the present invention lies in that: for the index element exploration unit, the calculation process of the index element correlation coefficient includes:

[0036] Extract the chemical measurement data from the geochemical exploration dataset. Using the chemical measurement data in the training set and combining with the multiple linear regression algorithm, take the chemical measurement data as the input and the index element correlation coefficient as the output to learn the linear relationship between the chemical measurement data and the index element correlation coefficient, and train the index element correlation model;

[0037] Input the chemical measurement data in the test set into the index element correlation model, adjust the intercept term and regression coefficient of the index element correlation model, optimize the index element correlation model, deploy the optimized index element correlation model into the system, and combine with the chemical measurement data to output the corresponding index element correlation coefficient;

[0038] The expression of the index element correlation model is:

[0039]

[0040] Wherein, is the index element correlation coefficient, is the intercept term of the index element correlation model, , and are the regression coefficients of the metal element content, the non-metal element content, and the rare earth element content in each small rock area, respectively, , and are the metal element content, the non-metal element content, and the rare earth element content in each small rock area, respectively, is the error term of the index element correlation model.

[0041] A further improvement of the technical solution of the present invention lies in that: for the comprehensive screening unit, the construction process of the exploration index element screening model includes:

[0042] Extract the physical environment data, magma activity index, index element anomaly index, and index element correlation coefficient from the geochemical exploration dataset;

[0043] Combined with the training set data and the multiple linear regression algorithm, using the physical environment data, magma activity index, anomaly index of indicator elements, and correlation coefficient of indicator elements as inputs, and the screening score of indicator elements as the output, learn the linear relationship between the physical environment data, magma activity index, anomaly index of indicator elements, correlation coefficient of indicator elements, and the screening score of indicator elements, and train the exploration indicator element screening model;

[0044] Input the test set data into the exploration indicator element screening model, adjust the intercept term and regression coefficients of the exploration indicator element screening model, optimize the exploration indicator element screening model, deploy the optimized exploration indicator element screening model into the system, and combine the physical environment data, magma activity index, anomaly index of indicator elements, and correlation coefficient of indicator elements to output the corresponding screening score of indicator elements ;

[0045] The expression of the exploration indicator element screening model is:

[0046]

[0047] where, is the screening score of indicator elements; is the intercept term of the exploration indicator element screening model; , , , and are the regression coefficients of gravity of each small rock area, magnetic force of each small rock area, magma activity index, anomaly index of indicator elements, and correlation coefficient of indicator elements respectively; , , , and are the gravity of each small rock area, magnetic force of each small rock area, magma activity index, anomaly index of indicator elements, and correlation coefficient of indicator elements respectively; is the error term of the exploration indicator element screening model.

[0048] A further improvement of the technical solution of the present invention lies in that: the process of the comprehensive screening unit analyzing the types of screened indicator elements and then mapping the types of screened indicator elements to the geochemical exploration positioning map of rocks includes:

[0049] Based on the output result of the exploration indicator element screening model, when the value of the screening score of indicator elements is , the screened indicator element is a metal element; when the value of the screening score of indicator elements is , the screened indicator element is a non-metal element; when the value of the screening score of indicator elements is , the screened indicator element is a rare earth element;

[0050] Based on the geochemical exploration positioning map of rocks, the determined indicator elements are corresponded to their corresponding small rock area numbers, and then associated with the corresponding coordinate point numbers.

[0051] When the selected indicator element is a metal element, use GIS software to set the corresponding coordinate points to yellow; when the selected indicator element is a non-metal element, use GIS software to set the corresponding coordinate points to blue; when the selected indicator element is a rare earth element, use GIS software to set the corresponding coordinate points to purple, so as to optimize the geochemical exploration positioning map of rocks.

[0052] A further improvement of the technical solution of the present invention lies in that: the process of generating the report on the determination of indicator elements in the target research area of rocks for geochemical exploration by the indicator element determination module includes:

[0053] Based on the optimized geochemical exploration positioning map of rocks, extract the color and longitude and latitude coordinates of the corresponding coordinate points of each small rock area in the geochemical exploration positioning map of rocks.

[0054] According to the color of the corresponding coordinate points of each small rock area, determine the types of indicator elements and their longitude and latitude, integrate the determined types of indicator elements and their corresponding longitude and latitude, and generate a report on the determination of indicator elements in the target research area of rocks for geochemical exploration.

[0055] The beneficial effects of the present invention are as follows: In the present invention, a system for screening and determining geochemical exploration indicator elements, compared with the traditional system for screening and determining geochemical exploration indicator elements, the geochemical exploration data acquisition technology, multi-module collaborative analysis technology and geochemical exploration positioning map drawing technology in the system of the present invention are closely combined with modern information technology, accurately capturing volcanic rock data, physical environment data, chemical measurement data and positioning data of each small rock area, and combining the weighted summation method and the multiple linear regression algorithm, thereby obtaining the magma activity index, element anomaly index and indicator element correlation coefficient, achieving precise analysis of multi-dimensional data in the target research area of rocks, constructing a screening model for exploration indicator elements, calculating the screening score of indicator elements, screening the types of indicator elements according to the screening score of indicator elements, and mapping the screening results to the geochemical exploration positioning map, solving the problem that the existing geochemical exploration technology is difficult to comprehensively utilize various types of geochemical exploration data and positioning data to screen and determine the indicator elements in the rock area for geochemical exploration, ensuring that the method in the present invention can refine the dynamic monitoring standard for a system for screening and determining geochemical exploration indicator elements within a more accurate range, making the monitored data become more accurate indicators under the same conditions. The research and application of this method significantly enhance the degree of intelligence in the process of screening and determining geochemical exploration indicator elements. Brief Description of the Drawings

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0057] Figure 1 It is a block diagram of a system for screening and determining geochemical exploration index elements of the present invention;

[0058] Figure 2 It is a data flow diagram. Detailed Embodiments

[0059] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0060] As Figure 1 shown, the present invention provides a system for screening and determining geochemical exploration index elements, including a geochemical exploration data acquisition module, an exploration positioning module, an index element screening module, and an index element determination module. Among them, each module is communicatively connected;

[0061] The geochemical exploration data acquisition module collects geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data, and positioning data, and preprocesses the collected data, providing data support for the realization of the functions of subsequent modules;

[0062] The exploration positioning module draws a geochemical exploration positioning map of rocks through the preprocessed positioning data, realizing accurate positioning of each small rock area;

[0063] The index element screening module is used to combine volcanic rock data, physical environment data, and chemical measurement data to screen exploration index elements, and further optimize the geochemical exploration positioning map of rocks;

[0064] The index element determination module analyzes the optimized geochemical exploration positioning map of rocks and generates a report on the determination of index elements for the target research area of rocks based on geochemical exploration.

[0065] The geochemical exploration data acquisition module, the process of collecting geochemical exploration data includes:

[0066] Divide the research area of rock targets based on geochemical exploration into several small rock areas, and deploy different types of acquisition equipment to collect volcanic rock data, physical environment data, chemical measurement data, and positioning data for each small rock area. Among them, the acquisition equipment includes geological hammers, X-ray fluorescence spectrometers, pH meters, gravimeters, magnetometers, inductively coupled plasma mass spectrometers, and GPS receivers.

[0067] Specifically, the volcanic rock data includes the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of volcanic rock samples; the physical environment data is the gravity and magnetism of each small rock area; the chemical measurement data includes the metal element content, non-metal element content, and rare earth element content of each small rock area; the positioning data is the longitude and latitude coordinates of each small rock area;

[0068] Use a geological hammer to collect volcanic rock samples, and in combination with an X-ray fluorescence spectrometer, collect the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, and potassium content in the volcanic rock samples. Use a pH meter to collect the pH value of the volcanic rock samples; through a gravimeter and a magnetometer, collect the gravity and magnetism of each small rock area respectively; use an X-ray fluorescence spectrometer to collect the metal element content and non-metal element content of each small rock area, and through an inductively coupled plasma mass spectrometer, collect the rare earth element content of each small rock area. Use a GPS receiver to collect the longitude and latitude coordinates of each small rock area;

[0069] Perform data cleaning and data standardization processing on the collected volcanic rock data, physical environment data, chemical measurement data, and positioning data, assign timestamps to the volcanic rock data, physical environment data, chemical measurement data, and positioning data, and adjust the timestamps to achieve the synchronization of the collection times of the volcanic rock data, physical environment data, chemical measurement data, and positioning data;

[0070] Integrate the preprocessed physical environment data and chemical measurement data to generate a geochemical exploration dataset, and divide the geochemical exploration dataset into a training set and a test set. Among them, the ratio of the training set to the test set is 8:2.

[0071] Exploration positioning module. The process of drawing a rock geochemical exploration positioning map includes:

[0072] Organize the longitude and latitude coordinates of each small rock area into a CSV format, and import the longitude and latitude coordinates of each small rock area after converting the format into GIS software;

[0073] Set coordinate points for each imported small rock area, number each set coordinate point, and correspond the coordinate point numbers to the small rock area numbers;

[0074] Associate each coordinate point with the longitude and latitude coordinates of the corresponding small rock area, and add the markings of the corresponding longitude and latitude coordinates to each coordinate point to represent the positioning information of the small rock area, thereby realizing the drawing of the rock geochemical exploration positioning map.

[0075] For the magmatic exploration unit, the estimation process of the magmatic activity index includes:

[0076] Normalize the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples, and map the values of each volcanic rock data to between 0 and 1;

[0077] Assign weights to the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples respectively. Use the weighted summation method to evaluate the magmatic activity index and integrate this magmatic activity index into the geochemical exploration dataset;

[0078] The specific evaluation process is as follows:

[0079]

[0080] Among them, is the magmatic activity index, , , , , , , and powders are the weights of the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples respectively, , , , , , , and are the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of the volcanic rock samples respectively.

[0081] For the indicator element exploration unit, the calculation process of the indicator element anomaly index includes:

[0082] Extract the background metal element content, background non-metal element content, and background rare earth content of each small rock area in the historical rock target research area from the geological survey bureau database;

[0083] Calculate the ratio of the content of metallic elements to the content of background metallic elements to obtain the metallic element anomaly index; calculate the ratio of the content of non-metallic elements to the content of background non-metallic elements to obtain the non-metallic element anomaly index; calculate the ratio of the content of rare earth elements to the content of background rare earths to obtain the rare earth element anomaly index;

[0084] Assign weights to the metallic element anomaly index, the non-metallic element anomaly index, and the rare earth element anomaly index, and combine the weighted summation method to calculate the indicator element anomaly index, and integrate the indicator element anomaly index into the geochemical exploration dataset. The calculation process includes:

[0085]

[0086] Among them, is the indicator element anomaly index; , and are the weights of the metallic element anomaly index, the non-metallic element anomaly index, and the rare earth element anomaly index respectively; , and are the metallic element anomaly index, the non-metallic element anomaly index, and the rare earth element anomaly index respectively.

[0087] For the exploration unit of the indicator element, the calculation process of the correlation coefficient of the indicator element includes:

[0088] Extract the chemical measurement data in the geochemical exploration dataset, use the chemical measurement data in the training set, and combine the multiple linear regression algorithm. Take the chemical measurement data as the input and the correlation coefficient of the indicator element as the output, learn the linear relationship between the chemical measurement data and the correlation coefficient of the indicator element, and train the correlation model of the indicator element;

[0089] Input the chemical measurement data in the test set into the correlation model of the indicator element, adjust the intercept term and regression coefficient of the correlation model of the indicator element, optimize the correlation model of the indicator element, deploy the optimized correlation model of the indicator element to the system, and combine the chemical measurement data to output the corresponding correlation coefficient of the indicator element;

[0090] The expression of the correlation model of the indicator element is:

[0091]

[0092] Among them, is the correlation coefficient of the indicator element, is the intercept term of the correlation model of the indicator element, , and are the regression coefficients of the metallic element content, the non-metallic element content, and the rare earth element content in each small rock area respectively, , and are the metal element content, non-metal element content, and rare earth element content of each small rock area respectively, is the error term of the index element related model.

[0093] Comprehensive screening unit. The construction process of the exploration index element screening model includes:

[0094] Extract the physical environment data, magmatic activity index, index element anomaly index, and index element correlation coefficient from the geochemical exploration dataset;

[0095] Combined with the training set data and the multiple linear regression algorithm, use the physical environment data, magmatic activity index, index element anomaly index, and index element correlation coefficient as inputs and the index element screening score as the output to learn the linear relationship between the physical environment data, magmatic activity index, index element anomaly index, index element correlation coefficient, and the index element screening score, and train the exploration index element screening model;

[0096] Input the test set data into the exploration index element screening model, adjust the intercept term and regression coefficients of the exploration index element screening model, optimize the exploration index element screening model, deploy the optimized exploration index element screening model to the system, and combine the physical environment data, magmatic activity index, index element anomaly index, and index element correlation coefficient to output the corresponding index element screening score ;

[0097] The expression of the exploration index element screening model is:

[0098]

[0099] Where, is the index element screening score; is the intercept term of the exploration index element screening model; , , , and are the regression coefficients of the gravity of each small rock area, the magnetic force of each small rock area, the magmatic activity index, the index element anomaly index, and the index element correlation coefficient respectively; , , , and are the gravity of each small rock area, the magnetic force of each small rock area, the magmatic activity index, the index element anomaly index, and the index element correlation coefficient respectively; is the error term of the exploration index element screening model.

[0100] The process of the comprehensive screening unit analyzing the types of screened index elements and then mapping the types of screened index elements to the geochemical exploration positioning map of rocks includes:

[0101] Based on the output result of the exploration index element screening model, when the value of the index element screening score is the screened index element is a metal element; when the value of the index element screening score is the screened index element is a non-metal element; when the value of the index element screening score is the screened index element is a rare earth element;

[0102] According to the geochemical exploration positioning map of rocks, the determined index elements are corresponded with their corresponding small rock area numbers, and then associated with the corresponding coordinate point numbers;

[0103] When the screened index element is a metal element, use GIS software to set the corresponding coordinate points to yellow; when the screened index element is a non-metal element, use GIS software to set the corresponding coordinate points to blue; when the screened index element is a rare earth element, use GIS software to set the corresponding coordinate points to purple to optimize the geochemical exploration positioning map of rocks.

[0104] The process of the index element determination module generating the index element determination report for the rock target research area based on geochemical exploration includes:

[0105] Based on the optimized geochemical exploration positioning map of rocks, extract the colors and longitude and latitude coordinates of the corresponding coordinate points of each small rock area in the geochemical exploration positioning map of rocks;

[0106] According to the colors of the corresponding coordinate points of each small rock area, determine the types of index elements and their longitude and latitude, integrate the determined types of index elements and their corresponding longitude and latitude, and generate the index element determination report for the rock target research area based on geochemical exploration.

[0107] First, geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data, and positioning data are collected using different types of acquisition devices, and the collected data is preprocessed. Secondly, a geochemical exploration positioning map of rocks is drawn through the preprocessed positioning data. Immediately afterwards, based on the preprocessed volcanic rock data, physical environment data, and chemical measurement data, combined with the weighted summation method and the multiple linear regression algorithm, the magma activity index, element anomaly index, and correlation coefficient of indicator elements are obtained. Then, based on the magma activity index, indicator element anomaly index, correlation coefficient of indicator elements, and preprocessed physical environment data, an exploration indicator element screening model is constructed, and then the types of screened indicator elements are analyzed, and the types of screened indicator elements are mapped to the geochemical exploration positioning map of rocks. Finally, the optimized geochemical exploration positioning map of rocks is analyzed, and the analysis results are integrated to generate a report on the determination of indicator elements in the rock target research area based on geochemical exploration.

[0108] As described above, it is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claimed rights.

Claims

1. A screening and determination system for geochemical exploration index elements, comprising a geochemical exploration data collection module, an exploration positioning module, an index element screening module, and an index element determination module, wherein, Each module is communicatively connected, characterized in that: The geochemical exploration data acquisition module acquires geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data, and positioning data, and preprocesses the acquired data; Integrate the preprocessed physical environment data and chemical measurement data to generate a geochemical exploration dataset, and divide the geochemical exploration dataset into a training set and a test set; The exploration positioning module draws a geochemical exploration positioning map of rocks through the preprocessed positioning data; The index element screening module is used to combine volcanic rock data, physical environment data, and chemical measurement data to screen exploration index elements, and then optimize the geochemical exploration positioning map of rocks; The index element determination module analyzes the optimized geochemical exploration positioning map of rocks and generates a report on the determination of index elements for the rock target research area based on geochemical exploration; The index element screening module is divided into a magma exploration unit, an index element exploration unit, and a comprehensive screening unit. Among them, the functions of each unit are as follows: The magma exploration unit estimates the magma activity index using the preprocessed volcanic rock data; The index element exploration unit calculates the index element anomaly index and the index element correlation coefficient respectively through the preprocessed chemical measurement data; The comprehensive screening unit constructs an exploration index element screening model based on the magma activity index, the index element anomaly index, the index element correlation coefficient, and the preprocessed physical environment data, and then analyzes the types of screened index elements, and maps the types of screened index elements to the geochemical exploration positioning map of rocks; The comprehensive screening unit, the construction process of the exploration index element screening model includes: Extract the physical environment data, magma activity index, index element anomaly index, and index element correlation coefficient from the geochemical exploration dataset; Combine the training set data with the multiple linear regression algorithm, use the physical environment data, magma activity index, index element anomaly index, and index element correlation coefficient as inputs, and the index element screening score as the output, learn the linear relationship between the physical environment data, magma activity index, index element anomaly index, index element correlation coefficient and the index element screening score, and train the exploration index element screening model; Input the test set data into the exploration index element screening model, adjust the intercept term and regression coefficient of the exploration index element screening model, optimize the exploration index element screening model, deploy the optimized exploration index element screening model to the system, and combine the physical environment data, magma activity index, index element anomaly index, and index element correlation coefficient to output the corresponding index element screening score S.

2. The screening and determination system for geochemical exploration index elements according to claim 1, wherein: The geochemical exploration data acquisition module, the acquisition process of geochemical exploration data includes: Divide the rock target research area based on geochemical exploration into several small rock areas, and deploy different types of collection equipment to collect volcanic rock data, physical environment data, chemical measurement data, and positioning data for each small rock area. Among them, the collection equipment includes a geological hammer, an X-ray fluorescence spectrometer, a pH meter, a gravimeter, a magnetometer, an inductively coupled plasma mass spectrometer, and a GPS receiver; The volcanic rock data includes the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of volcanic rock samples; the physical environment data is the gravity and magnetism of each small rock area; the chemical measurement data includes the metal element content, non-metal element content, and rare earth element content of each small rock area; the positioning data is the longitude and latitude coordinates of each small rock area; Perform data cleaning and data standardization processing on the collected volcanic rock data, physical environment data, chemical measurement data, and positioning data, assign timestamps to the volcanic rock data, physical environment data, chemical measurement data, and positioning data, and adjust the timestamps to achieve the synchronization of the collection times of the volcanic rock data, physical environment data, chemical measurement data, and positioning data.

3. The screening and determination system for geochemical exploration index elements according to claim 2, wherein: For the exploration positioning module, the process of drawing a rock geochemical exploration positioning map includes: Organize the longitude and latitude coordinates of each small rock area into a CSV format, and import the longitude and latitude coordinates of each small rock area after converting the format into GIS software; Set coordinate points for each imported small rock area, number each set coordinate point, and correspond the coordinate point numbers with the small rock area numbers; Associate each coordinate point with the longitude and latitude coordinates of the corresponding small rock area, and add annotations of the corresponding longitude and latitude coordinates to each coordinate point, thereby realizing the drawing of the rock geochemical exploration positioning map.

4. The screening and determination system for geochemical exploration index elements according to claim 3, characterized in that: For the magma exploration unit, the process of estimating the magma activity index includes: Perform normalization processing on the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of volcanic rock samples, and map the values of each item of volcanic rock data to between 0 and 1; Assign weights to the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content, and pH value of volcanic rock samples respectively, use the weighted summation method to evaluate the magma activity index, and integrate the magma activity index into the geochemical exploration dataset.

5. The screening and determination system for geochemical exploration index elements according to claim 4, characterized in that: For the target element exploration unit, the calculation process of the target element anomaly index includes: Extract the background metal element content, background non-metal element content, and background rare earth content of each small rock area in the historical rock target research area from the geological survey bureau database; Calculate the ratio of the metal element content to the background metal element content to obtain the metal element anomaly index; calculate the ratio of the non-metal element content to the background non-metal element content to obtain the non-metal element anomaly index; calculate the ratio of the rare earth element content to the background rare earth content to obtain the rare earth element anomaly index; Weigh the abnormal indexes of metallic elements, non-metallic elements and rare earth elements, and combine with the weighted summation method to calculate the abnormal index of the target elements, and integrate the abnormal index of the target elements into the geochemical exploration dataset.

6. The screening and determination system for geochemical exploration index elements according to claim 5, characterized in that: For the exploration unit of the target elements, the calculation process of the correlation coefficient of the target elements includes: Extract the chemical measurement data from the geochemical exploration dataset. Using the chemical measurement data in the training set and combining with the multiple linear regression algorithm, take the chemical measurement data as the input and the correlation coefficient of the target elements as the output to learn the linear relationship between the chemical measurement data and the correlation coefficient of the target elements, and train the correlation model of the target elements. Input the chemical measurement data in the test set into the correlation model of the target elements, adjust the intercept term and regression coefficient of the correlation model of the target elements, optimize the correlation model of the target elements, deploy the optimized correlation model of the target elements into the system, and combine with the chemical measurement data to output the corresponding correlation coefficient of the target elements.

7. The screening and determination system for geochemical exploration index elements according to claim 6, characterized in that: For the comprehensive screening unit, the process of analyzing the types of the screened target elements and then mapping the types of the screened target elements to the geochemical exploration location map of rocks includes: Based on the output results of the exploration index element screening model, when the value of the index element screening score is , the screened index elements are metal elements; when the value of the index element screening score is , the screened index elements are non-metal elements; when the value of the index element screening score is , the screened index elements are rare earth elements; According to the geochemical exploration location map of rocks, associate the determined target elements with their corresponding small rock area numbers, and then associate them with the corresponding coordinate point numbers. When the screened target element is a metallic element, use GIS software to set the corresponding coordinate points to yellow; when the screened target element is a non-metallic element, use GIS software to set the corresponding coordinate points to blue; when the screened target element is a rare earth element, use GIS software to set the corresponding coordinate points to purple to optimize the geochemical exploration location map of rocks.

8. The screening and determination system for geochemical exploration index elements according to claim 7, wherein: For the target element determination module, the generation process of the target element determination report for the rock target research area based on geochemical exploration includes: Based on the optimized geochemical exploration location map of rocks, extract the colors and longitude and latitude coordinates of the corresponding coordinate points of each small rock area in the geochemical exploration location map of rocks. According to the colors of the corresponding coordinate points of each small rock area, determine the types and longitude and latitude of the target elements, integrate the determined types and corresponding longitude and latitude of the target elements, and generate the target element determination report for the rock target research area based on geochemical exploration.

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