Screening and determining system for geochemical exploration index elements

Abstract

The invention discloses a geochemical exploration index element screening and determining system, which relates to the technical field of geochemical exploration, and comprises a geochemical exploration data acquisition module, an exploration positioning module, an index element screening module and an index element determining module, the method comprises the following steps: acquiring geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data and positioning data, and preprocessing the acquired data; the index element screening module is used for screening exploration index elements in combination with volcanic rock data, physical environment data and chemical measurement data so as to optimize a rock geochemical exploration positioning map; the geochemical exploration data acquisition technology, the multi-module collaborative analysis technology and the geochemical exploration positioning map drawing technology in the system are closely combined with the modern information technology, and the intelligent degree in the screening and determining process of geochemical exploration index elements is remarkably enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of geochemical exploration, and particularly relates to a system for screening and determining index 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 index elements. However, current technical means have many limitations. Traditional methods for screening geochemical exploration index 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 index elements closely related to target ore types 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 deepening of research, in the face of a large amount of geochemical data, traditional methods are unable to handle and analyze the data effectively. The data volume generated by modern high-precision geochemical analysis instruments has increased exponentially, and traditional data processing and screening methods cannot fully exploit the value therein. In addition, the geological conditions vary greatly in different regions, and existing general screening models are difficult to adapt to diverse geological backgrounds. Therefore, it is urgent to develop a scientific, efficient, and adaptable system for screening and determining geochemical exploration index elements to meet the needs of modern geological exploration work. Although there have been great advancements in the prior art in the direction of geochemical exploration, there are still some problems to be optimized. Existing geochemical exploration technologies are difficult to comprehensively integrate various types of geochemical exploration data and screen the index elements of rock regions based on geochemical exploration, resulting in low accuracy in screening geochemical exploration index elements. Moreover, the prior art lacks precise positioning of the determined index elements, affecting the subsequent process of determining geochemical exploration index elements. Summary of the Invention

[0003] To achieve the above objectives, the present invention is realized through the following technical solutions: A system for screening and determining geochemical exploration index elements includes 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. 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 realization of the functions of subsequent modules. The exploration positioning module draws a geochemical exploration positioning map of rocks through the preprocessed positioning data, achieving precise positioning of each small rock region. The index element screening module is used to screen exploration index elements by combining volcanic rock data, physical environment data, and chemical measurement data, 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.

[0004] 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: 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.

[0005] A further improvement of the technical solution of the present invention is that in the geochemical exploration data acquisition module, the acquisition process of geochemical exploration data includes: The rock target research area based on geochemical exploration is divided into several small rock areas, and different types of acquisition equipment are deployed to acquire volcanic rock data, physical environment data, chemical measurement data, and positioning data of each small rock area. The acquisition 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.

[0006] 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; 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; 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; 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.

[0007] 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: 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 number with the small rock area number; 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.

[0008] 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: 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 numerical 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 the 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; The specific evaluation process is as follows: Among them, is the magma activity index, , , , , , , and the 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 sample 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 sample respectively.

[0009] 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 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; Assign weights to the metal element anomaly index, non-metal element anomaly index and rare earth element anomaly index, and combine the weight summation method to calculate the index element anomaly index, and integrate the index element anomaly index into the geochemical exploration data set. The calculation process includes: Among them, is the index element anomaly index; , and are the weights of the metal element anomaly index, non-metal element anomaly index and rare earth element anomaly index respectively; , and are the metal element anomaly index, non-metal element anomaly index and rare earth element anomaly index respectively.

[0010] 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: 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 element as the output, learn the linear relationship between the chemical measurement data and the correlation coefficient of the target element, and train the target element correlation model; Input the chemical measurement data in the test set into the target element correlation model, adjust the intercept term and regression coefficients of the target element correlation model, optimize the target element correlation model, deploy the optimized target element correlation model into the system, and combine with the chemical measurement data to output the corresponding correlation coefficient of the target element; The expression of the target element correlation model is: Where, is the correlation coefficient of the target element, is the intercept term of the target element correlation model, , and are the regression coefficients of the metal element content, non-metal element content and 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 in each small rock area respectively, is the error term of the target element correlation model.

[0011] A further improvement of the technical solution of the present invention lies in: for the comprehensive screening unit, the construction process of the exploration target element screening model includes: Extract the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient from the geochemical exploration dataset; Combining the training set data with the multiple linear regression algorithm, take the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient as the input and the target element screening score as the output, learn the linear relationship between the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient and the target element screening score, and train the exploration target element screening model; Input the test set data into the exploration target element screening model, adjust the intercept term and regression coefficients of the exploration target element screening model, optimize the exploration target element screening model, deploy the optimized exploration target element screening model into the system, and combine with the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient to output the corresponding target element screening score ; The expression of the exploration target element screening model is: Among them, is the screening score of index elements; is the intercept term of the exploration index 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, index element anomaly index, and index element correlation coefficient respectively; , , , and are the gravity of each small rock area, magnetic force of each small rock area, magma activity index, index element anomaly index, and index element correlation coefficient respectively; is the error term of the exploration index element screening model.

[0012] A further improvement of the technical solution of the present invention lies in that: the process of the comprehensive screening unit analyzing and screening the types of index elements and then mapping the screened types of index elements to the rock geochemical exploration positioning map includes: 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; According to the rock geochemical exploration positioning map, the determined index element is corresponded with its corresponding small rock area number, and then associated with the corresponding coordinate point number; When the screened index element is a metal element, the corresponding coordinate point is set to yellow by using GIS software; when the screened index element is a non-metal element, the corresponding coordinate point is set to blue by using GIS software; when the screened index element is a rare earth element, the corresponding coordinate point is set to purple by using GIS software, so as to optimize the rock geochemical exploration positioning map.

[0013] A further improvement of the technical solution of the present invention lies in that: the process of the index element determination module generating a report on the determination of index elements in the rock target research area based on geochemical exploration includes: Based on the optimized rock geochemical exploration positioning map, the color and longitude and latitude coordinates of the corresponding coordinate points of each small rock area in the rock geochemical exploration positioning map are extracted; Based on the colors of the corresponding coordinate points in each small rock area, determine the types of indicator elements and their latitudes and longitudes. Integrate the determined types of indicator elements and their corresponding latitudes and longitudes to generate a report on the determination of indicator elements for the rock target research area based on geochemical exploration.

[0014] The beneficial effects of the present invention are as follows: In the system for screening and determining geochemical exploration indicator elements of the present invention, compared with the traditional system for screening and determining geochemical exploration indicator elements, 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 to accurately capture the volcanic rock data, physical environment data, chemical measurement data, and positioning data of each small rock area. Combining 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, achieving accurate analysis of multi-dimensional data in the rock target research area, 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 integrate various types of geochemical exploration data and positioning data to screen and determine the indicator elements for the rock area based on 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 a more accurate indicator 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

[0015] 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, and those of ordinary skill in the art can also obtain other drawings based on these drawings.

[0016] Figure 1 It is a block diagram of a system for screening and determining geochemical exploration indicator elements of the present invention; Figure 2 It is a data flow diagram. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, 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 shall fall within the protection scope of the present invention.

[0018] As Figure 1 shown, the present invention provides a system for screening and determining geochemical exploration index elements, including a geochemical exploration data collection module, an exploration positioning module, an index element screening module, and an index element determination module. Among them, each module is communicatively connected; 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 realization of the functions of subsequent modules; The exploration positioning module draws a geochemical exploration positioning map of rocks through the preprocessed positioning data, realizing precise positioning of each small rock area; The index element screening module is used to screen exploration index elements in combination with volcanic rock data, physical environment data, and chemical measurement data, 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 target research area of rocks based on geochemical exploration.

[0019] The geochemical exploration data collection module. The process of collecting geochemical exploration data includes: Dividing the target research area of rocks based on geochemical exploration into several small rock areas, deploying different types of collection devices to collect volcanic rock data, physical environment data, chemical measurement data, and positioning data of each small rock area. Among them, the collection devices include geological hammers, X-ray fluorescence spectrometers, pH meters, gravimeters, magnetometers, inductively coupled plasma mass spectrometers, and GPS receivers.

[0020] 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; 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 collect the rare earth element content of each small rock area through an inductively coupled plasma mass spectrometer. Use a GPS receiver to collect 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; 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.

[0021] 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 number with the small rock area number; 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.

[0022] 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 the 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 the 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; The specific evaluation process is as follows: Among them, is the magma activity index, , , , , , , and The powder is the weight of the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content and pH value of the volcanic rock sample respectively. , , , , , , and They are the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content and pH value of the volcanic rock sample respectively.

[0023] For the exploration unit of indicator elements, the calculation process of the anomaly index of indicator elements 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; Assign weights to the metal element anomaly index, non-metal element anomaly index and rare earth element anomaly index, and calculate the anomaly index of indicator elements by combining the weighted summation method. The calculation process of integrating the anomaly index of indicator elements into the geochemical exploration dataset includes: Among them, is the anomaly index of indicator elements; , and are the weights of the metal element anomaly index, non-metal element anomaly index and rare earth element anomaly index respectively; , and are the metal element anomaly index, non-metal element anomaly index and rare earth element anomaly index respectively.

[0024] For the exploration unit of indicator elements, the calculation process of the correlation coefficient of indicator 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 element as the output, learn the linear relationship between the chemical measurement data and the correlation coefficient of the target element, and train the target element correlation model; Input the chemical measurement data in the test set into the target element correlation model, adjust the intercept term and regression coefficients of the target element correlation model, optimize the target element correlation model, deploy the optimized target element correlation model into the system, and combine with the chemical measurement data to output the corresponding correlation coefficient of the target element; The expression of the target element correlation model is: Among them, is the correlation coefficient of the target element, is the intercept term of the target element correlation model, , and are the regression coefficients of the metal element content, non-metal element content and 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 in each small rock area respectively, is the error term of the target element correlation model.

[0025] Comprehensive screening unit. The construction process of the exploration target element screening model includes: Extract the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient from the geochemical exploration dataset; Combining the training set data with the multiple linear regression algorithm, take the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient as the input and the target element screening score as the output, learn the linear relationship between the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient and the target element screening score, and train the exploration target element screening model; Input the test set data into the exploration target element screening model, adjust the intercept term and regression coefficients of the exploration target element screening model, optimize the exploration target element screening model, deploy the optimized exploration target element screening model into the system, and combine with the physical environment data, magmatic activity index, target element anomaly index and target element correlation coefficient to output the corresponding target element screening score ; The expression of the exploration target element screening model is: Among them, is the screening score of the index element; is the intercept term of the exploration index 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, index element anomaly index, and index element correlation coefficient, respectively; , , , and are the gravity of each small rock area, magnetic force of each small rock area, magma activity index, index element anomaly index, and index element correlation coefficient, respectively; is the error term of the exploration index element screening model.

[0026] The process of comprehensively screening units, 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: 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; According to the geochemical exploration positioning map of rocks, the determined index element is associated with its corresponding small rock area number, and then associated with the corresponding coordinate point number; When the screened index element is a metal element, use GIS software to set the corresponding coordinate point to yellow; when the screened index element is a non-metal element, use GIS software to set the corresponding coordinate point to blue; when the screened index element is a rare earth element, use GIS software to set the corresponding coordinate point to purple to optimize the geochemical exploration positioning map of rocks.

[0027] The process of generating a report on the determination of index elements in the rock target research area based on geochemical exploration by the index element determination module includes: 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; According to the color of the corresponding coordinate points of each small rock area, determine the type of index element and its longitude and latitude, integrate the determined type of index element and its corresponding longitude and latitude, and generate a report on the determination of index elements in the rock target research area based on geochemical exploration.

[0028] First, collect geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data, and positioning data using different types of collection devices, and preprocess the collected data; secondly, draw a geochemical exploration positioning map of rocks through the preprocessed positioning data; immediately afterwards, based on the preprocessed volcanic rock data, physical environment data, and chemical measurement data, combine the weighted summation method and the multiple linear regression algorithm to obtain the magma activity index, element anomaly index, and correlation coefficient of indicator elements; then, based on the magma activity index, indicator element anomaly index, indicator element correlation coefficient, and preprocessed physical environment data, construct an exploration indicator element screening model, and then analyze the types of screened indicator elements and map the types of screened indicator elements to the geochemical exploration positioning map of rocks; finally, analyze the optimized geochemical exploration positioning map of rocks, integrate the analysis results, and generate a report on the determination of indicator elements for the rock target research area based on geochemical exploration.

[0029] As mentioned above, the above 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 all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A system for screening and determining index elements for geochemical exploration, comprising a geochemical exploration data acquisition module, an exploration positioning module, an index element screening module and an index element determination module, wherein: Each module is connected in communication, characterized by: The geochemical exploration data acquisition module acquires geochemical exploration data including volcanic rock data, physical environment data, chemical measurement data and positioning data, and pre-processes the acquired data; The exploration and positioning module draws a rock geochemical exploration and positioning map through the pre-processed positioning data; The indicator element screening module is used to screen the exploration indicator elements by combining the volcanic rock data, physical environment data and chemical measurement data, thereby optimizing the rock geochemical exploration location map; The indicator element determination module analyzes the optimized rock geochemical exploration positioning map and generates an indicator element determination report for the rock target research area based on geochemical exploration.

2. A system for screening and determining geochemical exploration indicator elements according to claim 1, characterized in that: The indicator element screening module is divided into a magma exploration unit, an indicator element exploration unit and a comprehensive screening unit, wherein the functions of each unit are as follows: The magma exploration unit estimates the magma activity index using the preprocessed volcanic rock data; The indicator element exploration unit calculates the indicator element abnormality index and the indicator element correlation coefficient respectively through the preprocessed chemical measurement data; The comprehensive screening unit constructs an exploration indicator element screening model based on the magma activity index, the indicator element anomaly index, the indicator element correlation coefficient and the pre-processed physical environment data, and then analyzes the types of screened indicator elements and maps the screened indicator element types to the rock geochemical exploration positioning map.

3. A system for screening and determining geochemical exploration indicator elements according to claim 2, characterized in that: The geochemical exploration data acquisition module includes the following steps: Divide the rock target research area 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 in each small rock area, wherein the acquisition 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 include the silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content and pH value of the volcanic rock sample; the physical environment data include the gravity and magnetism of each small rock area; the chemical measurement data include the metal element content, non-metal element content and rare earth element content of each small rock area; the positioning data include the latitude and longitude coordinates of each small rock area; Perform data cleaning and data standardization 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, adjust timestamps, and synchronize the collection time of the volcanic rock data, physical environment data, chemical measurement data and positioning data; The preprocessed physical environment data and chemical measurement data are integrated to generate a geochemical exploration dataset, which is then divided into a training set and a test set.

4. A system for screening and determining geochemical exploration indicator elements according to claim 3, characterized in that: The exploration and positioning module, the drawing process of the rock geochemical exploration and positioning map includes: The longitude and latitude coordinates of each small rock area are sorted into CSV format, and the longitude and latitude coordinates of each small rock area after the conversion format are imported into the GIS software; Set coordinate points for each imported small rock area, number each set coordinate point, and correspond the coordinate point number with the small rock area number; Each coordinate point is associated with the longitude and latitude coordinates of the corresponding small rock area, and the corresponding longitude and latitude coordinates are added to each coordinate point, thereby realizing the drawing of the rock geochemical exploration positioning map.

5. A system for screening and determining geochemical exploration indicator elements according to claim 4, characterized in that: The estimation process of the magma activity index of the magma exploration unit includes: The silicon content, aluminum content, iron content, magnesium content, calcium content, sodium content, potassium content and pH value of the volcanic rock samples were normalized, and the values ​​of each volcanic rock data were mapped to between 0 and 1; Weights were 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, and the weighted summation method was used to evaluate the magmatic activity index, which was then integrated into the geochemical exploration dataset.

6. A system for screening and determining geochemical exploration indicator elements according to claim 5, characterized in that: The calculation process of the indicator element anomaly index of the indicator element exploration unit includes: The background metal element content, background nonmetal element content, and background rare earth content of each small rock area in the historical rock target study area were extracted from the Geological Survey database; Calculate the ratio of the metal element content to the background metal element content to obtain the metal element abnormality index; calculate the ratio of the non-metal element content to the background non-metal element content to obtain the non-metal element abnormality index; calculate the ratio of the rare earth element content to the background rare earth content to obtain the rare earth element abnormality index; Weights are assigned to the metal element anomaly index, non-metal element anomaly index and rare earth element anomaly index. The indicator element anomaly index is calculated by combining the weight summation method and integrated into the geochemical exploration dataset.

7. A system for screening and determining geochemical exploration indicator elements according to claim 6, characterized in that: The calculation process of the indicator element correlation coefficient of the indicator element exploration unit includes: Extract the chemical measurement data from the geochemical exploration data set, use the chemical measurement data in the training set, combine with the multivariate linear regression algorithm, take the chemical measurement data as input, take the indicator element correlation coefficient as output, learn the linear relationship between the chemical measurement data and the indicator element correlation coefficient, and train the indicator element correlation model; The chemical measurement data in the test set are input into the indicator element correlation model, the intercept term and regression coefficient of the indicator element correlation model are adjusted, the indicator element correlation model is optimized, the optimized indicator element correlation model is deployed into the system, and the corresponding indicator element correlation coefficient is output in combination with the chemical measurement data.

8. A system for screening and determining geochemical prospecting indicator elements according to claim 7, characterized in that: The construction process of the comprehensive screening unit and the exploration index element screening model includes: Extract physical environment data, magmatic activity index, indicator element anomaly index and indicator element correlation coefficient from geochemical exploration data sets; Combine the training set data with the multivariate linear regression algorithm, take the physical environment data, magma activity index, indicator element anomaly index and indicator element correlation coefficient as input, take the indicator element screening score as output, learn the linear relationship between the physical environment data, magma activity index, indicator element anomaly index and indicator element correlation coefficient and the indicator element screening score, and train the exploration indicator element screening model; Input the test set data into the exploration indicator element screening model, adjust the intercept term and regression coefficient 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, combine the physical environment data, magma activity index, indicator element anomaly index and indicator element correlation coefficient, and output the corresponding indicator element screening score .

9. A system for screening and determining geochemical exploration indicator elements according to claim 8, characterized in that: The process of the comprehensive screening unit analyzing the types of index elements screened and then mapping the types of index elements screened into the rock geochemical exploration location map includes: Based on the output results of the exploration index element screening model, when the index element screening score is When the index element to be screened is metal element; when the index element screening score is When the index element to be screened is a non-metallic element; when the index element screening score is When , the index elements screened are rare earth elements; According to the rock geochemical exploration location map, the determined index elements are matched with their corresponding small rock area numbers, and then associated with the corresponding coordinate point numbers; When the screened indicator elements are metal elements, the corresponding coordinate points are set to yellow using GIS software; when the screened indicator elements are non-metallic elements, the corresponding coordinate points are set to blue using GIS software; when the screened indicator elements are rare earth elements, the corresponding coordinate points are set to purple using GIS software to optimize the rock geochemical exploration positioning map.

10. A system for screening and determining geochemical exploration indicator elements according to claim 9, characterized in that: The index element determination module generates a report on index elements of a rock target research area based on geochemical exploration, including: Based on the optimized rock geochemical exploration location map, the color and longitude and latitude coordinates of the corresponding coordinate points of each small rock area in the rock geochemical exploration location map are extracted; According to the color of the corresponding coordinate points of each small rock area, the type of indicator element and its longitude and latitude are determined, and the determined indicator element type and its corresponding longitude and latitude are integrated to generate an indicator element determination report for the rock target research area based on geochemical exploration.

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