Sulfide ore body detection method and device, prospecting equipment and computer storage medium

Abstract

The invention relates to a sulfide ore body detection method and device, prospecting equipment and a computer storage medium, and belongs to the technical field of prospecting. The sulfide ore body detection method comprises the steps that a target to-be-detected area and a comparison detection area used for being compared with the target to-be-detected area are determined; multiple atmospheric optical parameters of the target to-be-detected area and the contrast detection area are collected, and the difference between the multiple atmospheric optical parameters of the target to-be-detected area and the corresponding atmospheric optical parameters in the contrast detection area is determined; and determining the probability that sulfide ore bodies exist in the target to-be-detected area based on the difference. The detection accuracy of the sulfide ore body can be improved.

Description

Technical Field

[0001] This invention relates to the field of mineral exploration technology, and in particular to a method, apparatus, exploration equipment, and computer storage medium for detecting sulfide ore bodies. Background Technology

[0002] Ore body detection technology is a crucial step in determining the amount of mineral deposits in a target area before mining begins, and the accuracy of ore body detection directly affects the subsequent mining process.

[0003] Currently, the mainstream techniques for finding deep metallic ore bodies (especially sulfide deposits, such as copper deposits) include geophysical exploration, geochemical exploration, and remote sensing geological interpretation. Geophysical exploration infers underground geological structures by measuring differences in the physical properties of rocks. Geochemical exploration delineates anomalies by systematically collecting rock, soil, aquatic sediments, or biological samples and analyzing the content and distribution of trace elements. Remote sensing geological interpretation uses satellite or aerial remote sensing imagery to indirectly predict favorable mineralization areas by interpreting alteration mineral and tectonic information on the surface. However, all these techniques have significant limitations. Geophysical exploration suffers from severe ambiguity, meaning that different geological bodies may produce similar geophysical anomalies, leading to multiple interpretations and a high misjudgment rate; the equipment is bulky, construction is complex, and costs are high; geochemical exploration has limited penetration capability for "blind ore bodies" that are deeply covered by thick layers, as the surface geochemical anomaly signals are very weak or even non-existent; sampling and laboratory analysis are time-consuming and inefficient, and cause some disturbance to the surface environment; remote sensing geological interpretation is powerless for blind ore bodies that have no surface outcrops or whose alteration information has not been exposed on the surface; and it is easily affected by factors such as vegetation cover and surface weathering layers.

[0004] It is evident that existing technologies suffer from limitations such as limited detection depth, insufficient accuracy, low efficiency, high cost, or environmental disturbance. Summary of the Invention

[0005] In view of this, it is necessary to provide a method, device, prospecting equipment and computer storage medium for detecting sulfide ore bodies, in order to solve the problems of limited detection depth, insufficient accuracy, low efficiency, high cost or environmental disturbance of existing technologies.

[0006] To address the aforementioned problems, in a first aspect, the present invention provides a method for detecting sulfide ore bodies, comprising: Determine the target area to be detected and the comparison detection area to be compared with the target area to be detected; Collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, and determine the differences between the various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters of the comparison area; The probability of the presence of sulfide ore bodies in the target area to be explored is determined based on the differences.

[0007] In one possible implementation, determining the target region to be detected and a comparison detection region for comparison with the target region to be detected includes: The induced polarization method is used to determine the detection area of ​​the induced polarization anomaly as the target detection area; The area located upwind of the target area to be detected, at a preset distance from the target area to be detected, and with surface features that are more similar to the surface features of the target area to be detected than a preset similarity threshold, is defined as the comparison detection area.

[0008] In one possible implementation, various atmospheric optical parameters of the target area to be detected and the comparison area to be detected are collected, including: Based on a pre-set atmospheric optical parameter monitoring array, multiple atmospheric optical parameters of the target area to be detected and the comparison area to be detected are collected simultaneously to obtain time series data of atmospheric optical parameters of the target area to be detected and the comparison area to be detected. Among them, atmospheric optical parameters include aerosol optical thickness of atmospheric column, light scattering coefficient of surface air and number concentration of aerosols of different particle sizes in surface air.

[0009] In one possible implementation, the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area are determined, including: Calculate the time series difference between the time series data of atmospheric optical parameters of the target area to be detected and the time series data of atmospheric optical parameters of the comparative detection area; The differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area are determined based on the difference time series.

[0010] In one possible implementation, calculating the time series difference between the time series data of atmospheric optical parameters of the target area to be detected and the time series data of atmospheric optical parameters of the comparison area includes: Calculate the first time series of the difference in aerosol optical thickness between the target area to be detected and the comparison area; Calculate the second time series of the difference in light scattering coefficients of the surface air between the target area to be detected and the comparison area; Calculate the third difference time series of the number concentration of aerosols of different particle sizes in the surface air of the target area to be detected and the comparison area.

[0011] In one possible implementation, the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area are determined based on the difference time series, including: The amplitude difference between the target detection area and the comparison detection area is determined based on the first difference time series, the second difference time series, and the third difference time series; The spectral differences between the target area to be detected and the comparative detection area are determined based on the first difference time series. The particle size difference between the target detection area and the comparison detection area is determined based on the third difference time series.

[0012] In one possible implementation, determining the probability of the presence of a sulfide ore body in the target area to be detected based on differences includes: The moment when amplitude differences, spectral differences, and particle size differences coexist is defined as the difference moment. The probability of the presence of sulfide ore bodies in the target area to be explored is determined by the frequency and duration of differences in time series data.

[0013] Secondly, the present invention also provides a sulfide ore body detection device, comprising: The region determination module is used to determine the target area to be detected and the comparison detection area to be compared with the target area to be detected; The atmospheric optical parameter difference determination module is used to collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, and to determine the differences between the various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparison area. The mineralization probability calculation module is used to determine the probability of the presence of sulfide ore bodies in the target area to be explored based on differences.

[0014] Thirdly, the present invention also provides a mineral exploration device, including a memory and a processor, wherein, Memory, used to store programs; The processor, coupled to the memory, is used to execute a program stored in the memory to implement the steps in the sulfide ore body detection method of any of the above embodiments.

[0015] Fourthly, the present invention also provides a computer-readable storage medium for storing a computer-readable program or instructions, which, when executed by a processor, can implement the steps in the sulfide ore body detection method of any of the above embodiments.

[0016] The beneficial effects of this invention are as follows: The sulfide ore body detection method provided by this invention provides a prerequisite for subsequent data comparison by determining the target detection area and the comparison detection area. By collecting various atmospheric optical parameters of the target detection area and the comparison detection area, the differences between the various atmospheric optical parameters of the target detection area and the corresponding atmospheric optical parameters of the comparison detection area are determined, and the probability of the presence of sulfide ore bodies in the target detection area is determined based on the differences. By non-contact and non-destructive detection of extremely weak but clearly indicative atmospheric anomaly signals generated by the oxidation of deep sulfide ore bodies, the method achieves rapid, accurate, and convenient positioning of blind ore bodies, ensuring the accuracy of ore body detection. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A schematic flowchart of a sulfide ore body detection method provided in an embodiment of the present invention; Figure 2 A flowchart illustrating a region determination method provided in an embodiment of the present invention; Figure 3 A flowchart illustrating a difference calculation method provided in an embodiment of the present invention; Figure 4 A flowchart illustrating a method for determining a time series difference provided in an embodiment of the present invention; Figure 5 A flowchart illustrating a difference determination method provided in an embodiment of the present invention; Figure 6 A flowchart illustrating a possible implementation of S103 provided in an embodiment of the present invention; Figure 7 This is a schematic diagram of the structure of a sulfide ore body detection device provided in an embodiment of the present invention; Figure 8 This is a schematic diagram of a prospecting equipment provided in an embodiment of the present invention. Detailed Implementation

[0019] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0020] The terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] A specific embodiment of the present invention, such as Figure 1 As shown, a method for detecting sulfide ore bodies is disclosed, including: S101, Determine the target area to be detected and the comparison detection area used for comparison with the target area to be detected.

[0023] In this embodiment of the invention, deep sulfide ore bodies (such as copper mines) react with groundwater and oxygen to produce micro- and nano-sized aerosols such as sulfates and trace amounts of sulfur-containing gases. After these substances escape to the surface, they form an "Earth-atmosphere anomalous halo" with physicochemical properties that are completely different from the surrounding atmosphere directly above the ore body. Based on this principle, the presence of sulfide ore bodies in the target area can be determined by detecting atmospheric optical parameters in the target area.

[0024] In this embodiment of the invention, the target detection area refers to the area where minerals may exist after one round of detection. Existing technology can be used to conduct large-scale detection of the detection area to determine the target detection area where minerals may exist. Then, based on the actual location of the target detection area, a comparison detection area is determined for comparison. The comparison detection area is mainly used to remove background noise of atmospheric optical parameters in the target detection area. The specific methods for determining the target detection area and the comparison detection area will be described in detail later in this invention.

[0025] S102, collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, and determine the differences between the various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters of the comparison area.

[0026] In this embodiment of the invention, multiple atmospheric optical parameters of the target area to be detected and the comparison area can be collected simultaneously. Multiple atmospheric optical parameters refer to atmospheric optical parameters that can reflect the differences between the atmosphere of the mineral deposit area and other areas. The specific settings of the atmospheric optical parameters will be described in detail later in this invention.

[0027] In this embodiment of the invention, in order to ensure the accuracy of data acquisition, atmospheric optical parameters of the target area to be detected and the comparison area to be detected can be collected simultaneously, and high-frequency, long-term acquisition can be carried out to facilitate subsequent analysis.

[0028] In this embodiment of the invention, after collecting various atmospheric optical parameters, the difference in atmospheric optical parameters between the target area to be detected and the comparison area can be obtained by comparing the corresponding atmospheric optical parameters between the target area to be detected and the comparison area. The specific comparison method will be described in detail later in this invention.

[0029] S103, determine the probability of the presence of sulfide ore bodies in the target area to be detected based on differences.

[0030] In this embodiment of the invention, after determining the differences in atmospheric optical parameters between the target area to be detected and the comparison area, the probability of the presence of a sulfide ore body in the target area to be detected can be determined based on these differences and according to preset rules. Specifically, the probability of the presence of a sulfide ore body in the target area to be detected can be determined based on the different differences in atmospheric optical parameters. The specific method for determining the probability of the presence of a sulfide ore body in the target area to be detected will be described in detail later.

[0031] The sulfide ore body detection method provided by this invention provides a prerequisite for subsequent data comparison by determining the target detection area and a comparison detection area. By collecting various atmospheric optical parameters of the target detection area and the comparison detection area, the differences between the various atmospheric optical parameters of the target detection area and the corresponding atmospheric optical parameters of the comparison detection area are determined, and the probability of the presence of sulfide ore bodies in the target detection area is determined based on the differences. By non-contact and non-destructive detection of extremely weak but clearly indicative atmospheric anomaly signals generated by the oxidation of deep sulfide ore bodies, the method achieves rapid, accurate, and convenient location of blind ore bodies, ensuring the accuracy of ore body detection.

[0032] In some possible embodiments of the present invention, such as Figure 2 As shown, the target detection area and the comparison detection area used for comparison with the target detection area are determined, including: S201, the induced polarization method is used to determine the detection area of ​​the induced polarization anomaly as the target detection area; S202, the area located upwind of the target area to be detected, at a preset distance from the target area to be detected, and whose surface features are more similar to those of the target area to be detected than a preset similarity threshold is determined as the comparison detection area.

[0033] In this embodiment of the invention, when determining the target area to be detected, the excited polarization method can be used to detect each area first, and the area with induced polarization anomalies can be identified as the target area to be detected. Then, the center point of the target area to be detected is identified as the detection point, and the prevailing wind direction of the detection point is determined. Upwind of the prevailing wind direction, at a distance of 5 kilometers from the detection point, a flat area with similar surface features to the detection point is selected as a comparison detection area. Specifically, the prevailing wind direction refers to the wind direction that has the longest duration in the area. This can be obtained based on local meteorological data or by setting up a wind vane to measure the wind direction in the area. Selecting the comparison detection area upwind of the prevailing wind direction is mainly to prevent the gas in the target area to be detected from affecting the comparison detection area. The distance between the comparison detection area and the target area to be detected can be determined according to the actual situation, and this invention does not impose any restrictions on this. Surface features refer to the visible features of the ground in the detection area, such as all being Gobi terrain, and the soil color and properties being similar, etc. Surface features can be determined according to the actual situation or experience, and this invention does not impose any restrictions on this.

[0034] In this embodiment of the invention, a region located upwind of the target area to be detected, at a preset distance from the target area to be detected, and whose surface features are more similar to those of the target area to be detected than a preset similarity threshold is defined as a comparison detection region. This ensures that the comparison between the comparison detection region and the target area to be detected is not affected by other factors, thereby improving the accuracy of mineral exploration.

[0035] In some possible embodiments of the present invention, various atmospheric optical parameters of the target area to be detected and the comparison detection area are collected, including: Based on a pre-set atmospheric optical parameter monitoring array, multiple atmospheric optical parameters of the target area to be detected and the comparison area to be detected are collected simultaneously to obtain time series data of atmospheric optical parameters of the target area to be detected and the comparison area to be detected. Among them, atmospheric optical parameters include aerosol optical thickness of atmospheric column, light scattering coefficient of surface air and number concentration of aerosols of different particle sizes in surface air.

[0036] In this embodiment of the invention, one or more atmospheric optical parameter monitoring instruments can be set up in the target detection area and the comparison detection area to form a monitoring array. The instrument array includes at least the following three core devices based on quantum effects (such as photoelectric effect and molecular absorption): a multi-band solar photometer for measuring the aerosol optical thickness (AOD) of the atmospheric column and its spectral dependence; a high-sensitivity turbidimeter for measuring the light scattering coefficient of near-surface air; and a broadband particle counter for measuring the number concentration of aerosols of different particle sizes (especially 0.1-1.0 micrometers) in near-surface air. Furthermore, observation stations can be set up in the target detection area and the comparison detection area. Each observation station has a high-sensitivity three-wavelength turbidimeter and a laser particle counter covering 0.1-10 μm installed in its chassis. A CIMEL solar photometer with GPS and a solar tracker is installed on the top of the chassis. All devices are connected through a data acquisition unit and transmit data to a cloud server in real time through a 4G / 5G communication module. At the same time, a miniature weather station records wind speed, wind direction, temperature, humidity, and air pressure. Furthermore, synchronous, high-frequency data acquisition can be conducted for at least one stable weather cycle 24 / 7 to obtain the aerosol optical thickness of the atmospheric column in the target area to be detected and the comparison area, the light scattering coefficient of the surface air, and the number concentration of aerosols of different particle sizes in the surface air.

[0037] This invention provides an embodiment of the invention that uses an atmospheric optical parameter monitoring array to simultaneously collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, ensuring the synchronicity of data acquisition.

[0038] In some possible embodiments of the present invention, such as Figure 3 As shown, the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparison detection area are determined, including: S301, Calculate the time series difference between the time series data of atmospheric optical parameters of the target area to be detected and the time series data of atmospheric optical parameters of the comparison area; S302, based on the difference time series, determines the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area.

[0039] In this embodiment of the invention, based on the time series data of atmospheric optical parameters collected in the aforementioned embodiments, differential signal extraction is performed on the time series data. Specifically, the difference of a certain atmospheric optical parameter between the target area to be detected and the comparison detection area at the same time can be calculated, thereby obtaining the time series of the difference of the atmospheric optical parameter. Based on the time series of the difference of each atmospheric optical parameter between the target area to be detected and the comparison detection area, the difference between the target area to be detected and the comparison detection area can be determined.

[0040] Furthermore, such as Figure 4 As shown, the time series data for calculating the difference between the time series data of atmospheric optical parameters of the target area and the time series data of atmospheric optical parameters of the comparison area includes: S401, Calculate the first time series of the difference in aerosol optical thickness of the atmospheric column between the target area to be detected and the comparison area; S402, calculate the second time series of the difference in the light scattering coefficient of the surface air between the target area to be detected and the comparison area; S403, calculate the third difference time series of the number concentration of aerosols of different particle sizes in the surface air of the target area to be detected and the comparison area.

[0041] In this embodiment of the invention, the first difference time series of the aerosol optical thickness of the atmospheric column between the target detection area and the comparison detection area refers to the temporal distribution sequence of the difference in aerosol optical thickness of the atmospheric column between the target detection area and the comparison detection area; the second difference time series of the light scattering coefficient of the surface air between the target detection area and the comparison detection area refers to the temporal distribution sequence of the light scattering coefficient of the surface air between the target detection area and the comparison detection area; and the third difference time series of the number concentration of aerosols of different particle sizes in the surface air between the target detection area and the comparison detection area refers to the temporal distribution sequence of the number concentration of aerosols of different particle sizes in the surface air between the target detection area and the comparison detection area. Specifically, the difference in atmospheric optical parameters between the target detection area and the comparison detection area at the same moment can be calculated, and the differences at different moments can be sorted in chronological order to obtain the corresponding difference time series.

[0042] Furthermore, such as Figure 5 As shown, the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area are determined based on the difference time series, including: S501, determine the amplitude difference between the target detection area and the comparison detection area based on the first difference time series, the second difference time series and the third difference time series; S502, determine the spectral difference between the target area to be detected and the comparison area based on the first difference time series; S503, based on the third difference time series, determines the particle size difference between the target detection area and the comparison detection area.

[0043] In this embodiment of the invention, amplitude difference refers to the difference between the aerosol optical thickness of the atmospheric column, the light scattering coefficient of the surface air, and the number concentration of aerosols of different particle sizes in the surface air in the target detection area and the corresponding atmospheric optical parameters in the comparison detection area. An abnormal amplitude difference means that the statistical results of the aerosol optical thickness of the atmospheric column, the light scattering coefficient of the surface air, and the number concentration of aerosols of different particle sizes in the surface air are continuously and significantly increased, and the values ​​of the above three atmospheric optical parameters in the target detection area are all larger than those in the comparison area, and the increase is more obvious.

[0044] In this embodiment of the invention, spectral difference refers to the difference in the aerosol optical thickness of the atmospheric column. Specifically, if the aerosol optical thickness of the atmospheric column in the target detection area is greater than that in the comparison detection area, and the difference between the aerosol optical thickness of the atmospheric column in the target detection area and the aerosol optical thickness of the atmospheric column in the comparison detection area is much greater in the short-wavelength band (e.g., 380nm, 440nm) than in the long-wavelength band (e.g., 870nm, 1020nm), this is a typical optical characteristic of submicron sulfate aerosols.

[0045] In this embodiment of the invention, particle size difference refers to the difference in the number concentration of aerosols with different particle sizes. The difference in particle number concentration is mainly concentrated in the particle size range of 0.1-1.0 micrometers, indicating that there is a high probability of the presence of sulfide minerals in the target area to be detected.

[0046] In some possible embodiments of the present invention, such as Figure 6 As shown, the probability of the presence of sulfide ore bodies in the target area to be detected is determined based on differences, including: S601, the moment when amplitude difference, spectral difference and particle size difference exist simultaneously is defined as the difference moment; S602, determine the probability of the presence of sulfide ore bodies in the target area based on the frequency and duration of differences in time series data.

[0047] In this embodiment of the invention, when determining the probability of the presence of sulfide ore bodies in the area to be explored, it is necessary to combine the frequency of differences, the duration of differences, and the degree of differences. Specifically, the moment when amplitude differences, spectral differences, and particle size differences coexist is determined as the difference moment. Then, the entire sampling period is traversed to determine the probability of the difference moment occurring, the duration of each difference, and the degree of difference, thereby determining the probability of the presence of sulfide ore bodies in the target area to be explored. For example, a total of 12 confirmed "mineralization-induced atmospheric anomaly events" occurred, mainly concentrated in the clear, low-wind-speed night to early morning period (when the atmospheric stratification is stable, which is conducive to the accumulation of anomalies). In other time periods, the data of the target area to be explored and the comparison area are basically consistent. Based on this, an exploration report is issued, and the target area to be explored is rated as a "Level I high-potential drilling target area", whose mineralization probability is much higher than that of a judgment based on a single anomaly.

[0048] This invention creatively shifts the detection target from solid rocks and soil to the gaseous "Earth-atmosphere anomaly halo" generated by the "breathing" of ore bodies. This represents a leap in thinking, fundamentally bypassing the shielding problem caused by overburden. Instead of relying on a single indicator, this invention constructs a closed-loop methodology of differential amplification, multi-parameter locking, and cross-validation. Differential measurement significantly improves the signal-to-noise ratio, achieving precise detection; simultaneous monitoring of multiple parameters constitutes an unforgeable chain of evidence; the cross-validation algorithm eliminates accidental interference, ensuring the reliability of the results; and the invention defines and utilizes the optical "feature fingerprint" of sulfate aerosols generated by deep sulfide deposits. This makes the detection not only qualitative but also quantitative, effectively distinguishing mineral-induced anomalies from pollution from other sources (such as dust and biomass burning), achieving precise identification.

[0049] To better implement the sulfide ore body detection method in this embodiment of the invention, based on the sulfide ore body detection method, correspondingly, as follows: Figure 7 As shown, this embodiment of the invention also provides a sulfide ore body detection device, the sulfide ore body detection device 700 comprising: The region determination module 710 is used to determine the target region to be detected and the comparison detection region to be compared with the target region to be detected; The atmospheric optical parameter difference determination module 720 is used to collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, and to determine the differences between the various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparison area. The mineralization probability calculation module 730 is used to determine the probability of the presence of sulfide ore bodies in the target area to be explored based on differences.

[0050] The sulfide ore body detection device 700 provided in the above embodiments can realize the technical solutions described in the embodiments of the above sulfide ore body detection method. The specific implementation principles of each module or unit can be found in the corresponding content in the embodiments of the above sulfide ore body detection method, which will not be repeated here.

[0051] like Figure 8 As shown, the present invention also provides a mineral exploration device 800. The mineral exploration device 800 includes a processor 801, a memory 802, and a display 803. Figure 8 Only some components of the prospecting equipment 800 are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0052] In some embodiments, processor 801 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in memory 802 or process data, such as the sulfide ore body detection method of the present invention.

[0053] In some embodiments, processor 801 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 801 may be local or remote. In some embodiments, processor 801 may be implemented on a cloud platform. In some embodiments, the cloud platform may include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, etc., or any combination thereof.

[0054] In some embodiments, the memory 802 may be an internal storage unit of the prospecting equipment 800, such as a hard disk or memory of the prospecting equipment 800. In other embodiments, the memory 802 may also be an external storage device of the prospecting equipment 800, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on the prospecting equipment 800.

[0055] Furthermore, the memory 802 may include both internal storage units of the prospecting equipment 800 and external storage devices. The memory 802 is used to store the application software and various types of data installed on the prospecting equipment 800.

[0056] In some embodiments, display 803 may be an LED display, a liquid crystal display, a touch-screen liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 803 is used to display information from the prospecting equipment 800 and to display a visual user interface. Components 801-803 of the prospecting equipment 800 communicate with each other via a system bus.

[0057] In some embodiments, when the processor 801 executes the sulfide ore body detection program in the memory 802, the following steps may be performed: Determine the target area to be detected and the comparison detection area to be compared with the target area to be detected; Collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, and determine the differences between the various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters of the comparison area; The probability of the presence of sulfide ore bodies in the target area to be detected is determined based on the differences. It should be understood that when the processor 801 executes the sulfide ore body detection program in the memory 802, in addition to the functions mentioned above, it can also perform other functions, as detailed in the description of the corresponding method embodiments above.

[0058] Furthermore, this embodiment of the invention does not specifically limit the type of prospecting equipment 800 mentioned. Prospecting equipment 800 can be a portable prospecting device such as a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, or laptop computer. Exemplary embodiments of portable prospecting devices include, but are not limited to, portable prospecting devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable prospecting device can also be other portable prospecting devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the invention, prospecting equipment 800 may not be a portable prospecting device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0059] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions of the sulfide ore body detection methods provided in the above-described method embodiments.

[0060] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0061] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for detecting sulfide ore bodies, characterized in that, include: Determine the target area to be detected and the comparison detection area to be compared with the target area to be detected; Collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, and determine the differences between the various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters of the comparison area; The probability of the presence of sulfide ore bodies in the target area to be detected is determined based on the differences.

2. The method for detecting sulfide ore bodies according to claim 1, characterized in that, The determination of the target detection area and the comparison detection area for comparison with the target detection area includes: The induced polarization method is used to determine the detection area of ​​the induced polarization anomaly as the target detection area; The region located upwind of the target area to be detected, at a preset distance from the target area to be detected, and whose surface features are more similar to those of the target area to be detected than a preset similarity threshold, is defined as the comparison detection region.

3. The method for detecting sulfide ore bodies according to claim 1, characterized in that, The collection of various atmospheric optical parameters of the target area to be detected and the comparison detection area includes: Based on a preset atmospheric optical parameter monitoring array, multiple atmospheric optical parameters of the target area to be detected and the comparison area are collected synchronously to obtain time series data of atmospheric optical parameters of the target area to be detected and the comparison area. The atmospheric optical parameters include the aerosol optical thickness of the atmospheric column, the light scattering coefficient of the surface air, and the number concentration of aerosols of different particle sizes in the surface air.

4. The method for detecting sulfide ore bodies according to claim 3, characterized in that, The determination of the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area includes: Calculate the time series difference between the time series data of atmospheric optical parameters of the target area to be detected and the time series data of atmospheric optical parameters of the comparison area; Based on the difference time series, the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area are determined.

5. The method for detecting sulfide ore bodies according to claim 4, characterized in that, The time series for calculating the difference between the time series data of atmospheric optical parameters of the target area to be detected and the time series data of atmospheric optical parameters of the comparison area includes: Calculate the first time series of the aerosol optical thickness difference between the atmospheric column of the target area to be detected and the comparison detection area; Calculate the second time series of the difference in light scattering coefficients of the surface air between the target area to be detected and the comparison detection area; Calculate the third difference time series of the number concentration of aerosols of different particle sizes in the surface air of the target area to be detected and the comparison detection area.

6. The method for detecting sulfide ore bodies according to claim 5, characterized in that, The determination of the differences between various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparative detection area based on the difference time series includes: The amplitude difference between the target detection area and the comparison detection area is determined based on the first difference time series, the second difference time series, and the third difference time series. The spectral difference between the target detection area and the comparison detection area is determined based on the first difference time series. The particle size difference between the target detection area and the comparison detection area is determined based on the third difference time series.

7. The method for detecting sulfide ore bodies according to claim 6, characterized in that, The determination of the probability of the presence of a sulfide ore body in the target area to be detected based on the difference includes: The moment when the amplitude difference, the spectral difference, and the particle size difference exist simultaneously is defined as the difference moment; The probability of the presence of sulfide ore bodies in the target area to be detected is determined based on the frequency and duration of the differences in the time series data.

8. A sulfide ore body detection device, characterized in that, include: The region determination module is used to determine the target region to be detected and the comparison detection region to be compared with the target region to be detected; The atmospheric optical parameter difference determination module is used to collect various atmospheric optical parameters of the target area to be detected and the comparison area to be detected, and to determine the differences between the various atmospheric optical parameters of the target area to be detected and the corresponding atmospheric optical parameters in the comparison area. The mineralization probability calculation module is used to determine the probability of the presence of sulfide ore bodies in the target area to be detected based on the differences.

9. A mineral exploration device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the sulfide ore body detection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the sulfide ore body detection method according to any one of claims 1 to 7.

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