A method and system for detecting gold content in ore based on big data

Abstract

The application discloses a kind of ore gold content detection method and system based on big data, belong to ore gold content detection technical field, including: to be detected ore is pretreated, obtain the sample solution to be detected, carry out inductively coupled plasma mass spectrometer working parameter initial setting, to be detected sample solution is ionized treatment, real-time monitoring plasma state, complete inductively coupled plasma mass spectrometer working parameter self-adaptive adjustment, after ionization treatment is completed, through electric field makes ion acceleration into mass spectrometer, completes the quantitative analysis of gold content of sample solution to be detected, and outputs detection result.The application realizes the self-adaptive adjustment of instrument working parameter, solves the problem of gold ionization efficiency difference caused by unstable plasma state, improves the accuracy and reliability of detection result, through the monitoring and dissolution completion judgment of the pretreatment process of to be detected ore, the efficiency and accuracy of entire detection process are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of gold content detection in ores, and in particular to a method and system for detecting gold content in ores based on big data. Background Art

[0002] With increasing demands for ore quality, accurate and rapid determination of gold content in ores is crucial for the rational development and utilization of mineral resources. While traditional gold content determination methods, such as fire assay, atomic absorption spectrometry, and inductively coupled plasma optical emission spectrometry, can meet these requirements to a certain extent, they are susceptible to matrix effects when working with complex matrix samples, reducing the accuracy and reliability of test results.

[0003] In recent years, inductively coupled plasma mass spectrometry (ICP-MS) has become the primary method for determining gold content in ores due to its high sensitivity, high selectivity, and ability to simultaneously detect multiple elements. However, in practical applications, the plasma's operating state is susceptible to interference from various factors, and the complexity of the sample matrix can significantly affect the test results.

[0004] For example, the invention patent announcement with announcement number CN107102072B discloses an analytical method for online determination of bromine and iodine species using UHPLC-ICPMS, which includes: selecting UHPLC and ICP-MS instruments; optimizing ICP-MS instrument parameters; configuring the UHPLC separation column and guard column to optimize separation conditions; connecting the pipelines of the UHPLC and ICP-MS instruments and checking for leaks; pretreating the sample to be tested; performing experimental chromatographic separation diagrams to determine the separation time; determining the standard curve, detection limit, and precision; and performing spike recovery and actual sample determination.

[0005] For example, patent publication CN118191083A discloses a method for determining iron isotopes using MC-ICPMS, which includes: converting a digested sample into a hydrochloric acid medium, purifying it on an anion chromatography column, and eluting it with hydrochloric acid and aqueous nitric acid to obtain a purified test solution; and determining the iron isotopes in the purified test solution using MC-ICPMS. This method focuses on improving the iron element separation process: iron forms complex anions in 6 mol / L hydrochloric acid, which are adsorbed by an anion resin. Impurity ions are eluted with 6 mol / L hydrochloric acid, and the iron is then eluted and collected with a 2 vol.% aqueous nitric acid solution.

[0006] However, in the process of implementing the technical solutions of the embodiments of the present application, the present application discovered that the above technology has at least the following technical problems:

[0007] Current methods for detecting ore content using inductively coupled plasma mass spectrometry (ICP-MS) primarily focus on monitoring and analyzing the overall detection process. However, in practice, the plasma's operating state is easily disturbed by external factors, resulting in poor stability and a significant impact on the accuracy of test results. This is particularly true for the detection of gold content in ores. Due to the relatively high ionization potential of gold, suboptimal plasma ionization conditions can reduce the gold ionization efficiency, affecting the stability and accuracy of gold ion production. Existing methods for detecting gold content in ores lack monitoring and regulation of the plasma state, which can easily lead to differences in gold ionization efficiency when testing the same sample at different time periods or between different samples due to unstable plasma conditions, resulting in significant errors in the final quantitative results. Summary of the Invention

[0008] The first aspect of the present invention provides a method for detecting gold content in ore based on big data, comprising the following steps:

[0009] S1, pre-treating the ore to be tested to obtain a sample solution to be tested, analyzing and processing the sample solution to be tested, and then performing initial setting of working parameters of the inductively coupled plasma mass spectrometer.

[0010] S2, introducing the sample solution to be detected into the inductively coupled plasma mass spectrometer through an atomizer, and ionizing the sample solution to be detected by the action of plasma.

[0011] S3, during ionization treatment, monitors the plasma state in real time, synchronously obtains the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, analyzes and matches the parameter adjustment mode, and synchronously determines the parameter linkage fine-tuning trigger tag, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer.

[0012] S4, after the ionization treatment is completed, the ions are accelerated by the electric field to enter the mass spectrometer, the quantitative analysis of the gold content of the sample solution to be tested is completed, and the test results are output.

[0013] A second aspect of the present invention provides a system for detecting gold content in ore based on big data, comprising:

[0014] The inductively coupled plasma mass spectrometer working parameter initial setting module is used to pre-treat the ore to be tested to obtain the sample solution to be tested, analyze and process the sample solution to be tested, and thus perform the initial setting of the inductively coupled plasma mass spectrometer working parameters.

[0015] The sample solution ionization treatment module is used to introduce the sample solution to be detected into the inductively coupled plasma mass spectrometer through the atomizer, and ionize the sample solution to be detected under the action of plasma.

[0016] The inductively coupled plasma mass spectrometer working parameter adjustment module is used to monitor the plasma state in real time during ionization processing, synchronously obtain the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, analyze and match the parameter adjustment mode, and synchronously determine the parameter linkage fine-tuning trigger tag, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer.

[0017] The test result output module is used to accelerate the ions into the mass spectrometer through the electric field after the ionization treatment is completed, complete the quantitative analysis of the gold content of the sample solution to be tested, and output the test results.

[0018] One or more technical solutions provided in the present invention have at least the following technical effects or advantages:

[0019] 1. The present invention provides a method for detecting gold content in ore based on big data. By real-time monitoring of the plasma state and combining the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, adaptive adjustment of the instrument operating parameters is achieved, solving the problem of differences in gold ionization efficiency caused by unstable plasma state, and improving the accuracy and reliability of the test results. At the same time, by monitoring the pretreatment process of the ore to be tested and determining the dissolution completeness, the quality of the sample solution is further ensured, ensuring the complete dissolution of the gold element, thereby improving the efficiency and accuracy of the entire detection process.

[0020] 2. The present invention analyzes and processes the sample solution to be tested, thereby performing initial settings for the operating parameters of the inductively coupled plasma mass spectrometer. Based on the characteristics of the sample solution and the preset operating parameters corresponding to the ore type, precise initial settings of the inductively coupled plasma mass spectrometer's operating parameters are achieved. This method effectively adapts to the testing requirements of different samples, reduces interference from matrix effects, creates favorable conditions for subsequent plasma ionization of the sample solution to be tested, improves the accuracy and reliability of gold detection, ensures the efficiency and stability of the entire testing process, and reduces detection errors caused by unreasonable initial parameters.

[0021] 3. The present invention completes the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer by real-time monitoring of the plasma state. It can timely sense the changes in the plasma state and automatically optimize the instrument working parameters, avoiding the abnormal ionization of gold elements caused by unstable plasma state, reducing detection errors, and significantly improving the detection accuracy, ensuring that the test results can accurately reflect the gold content in the ore, and providing reliable data support for the rational development and efficient utilization of mineral resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A flow chart of a method for detecting gold content in ore based on big data provided in an embodiment of the present application;

[0023] Figure 2 A schematic diagram of the structure of a gold content detection system in ore based on big data provided in an embodiment of the present application; DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] Reference Figure 1 As shown, the first aspect of the present invention provides a method for detecting gold content in ore based on big data, comprising the following steps:

[0026] S1, pre-treating the ore to be tested to obtain a sample solution to be tested, analyzing and processing the sample solution to be tested, and then performing initial setting of working parameters of the inductively coupled plasma mass spectrometer.

[0027] In a specific embodiment, the pretreatment of the ore to be tested includes ore crushing, pulverization, acid dissolution or alkali fusion treatment, filtration and dilution.

[0028] Commonly used crushing equipment includes jaw crushers, hammer crushers or ball mills. During the crushing and pulverizing process, it is necessary to ensure the uniformity and fineness of sample particles to ensure the accuracy and reliability of subsequent analysis.

[0029] It's important to note that the choice of acid dissolution or alkaline fusion depends on the ore type. For example, acid dissolution is often used for some sulfide ores, with commonly used acids including hydrochloric acid and nitric acid. During the acid dissolution process, oxidizing agents such as sodium nitric acid and sodium peroxide are often added to promote gold dissolution. For oxide or silicate ores, alkaline fusion is often used. Alkaline fusion typically uses an alkaline flux, such as sodium hydroxide or sodium carbonate, to melt the ore sample and flux at high temperature, converting the gold element into a form soluble in the solution.

[0030] The purpose of acid dissolution or alkaline fusion is to dissolve or melt the crushed ore to release the gold and convert it into a detectable form.

[0031] It should be noted that this example takes sulfide ore as an example and adopts the acid dissolution method.

[0032] After a sample undergoes acid dissolution or alkaline fusion, a certain amount of solid residue or precipitate is typically produced, which may contain undissolved minerals or other impurities. Filtration is required to remove this solid residue or precipitate. The sample solution is typically filtered using a microporous membrane or filter paper to separate the solid particles and obtain a clear solution. The filtered solution may contain a high concentration of gold, and to make it suitable for analysis by an inductively coupled plasma mass spectrometer (ICP-MS), dilution is required. The purpose of dilution is to reduce the gold concentration in the solution to within the linear range of the ICP-MS analysis, avoiding signal saturation or excessive dilution. Dilution is typically performed using an appropriate diluent, such as double-distilled water or diluted acid, and the appropriate dilution ratio is determined based on the concentration of the original solution and the detection sensitivity of the ICP-MS. During the dilution process, it is important to ensure that the solution is thoroughly mixed to ensure sample homogeneity.

[0033] In this embodiment, the sample solution to be tested is analyzed and processed to perform initial setting of the working parameters of the inductively coupled plasma mass spectrometer. The specific analysis method is as follows:

[0034] Inductively coupled plasma emission spectroscopy was used to perform full element scanning on the sample solution to obtain the matrix composition parameters.

[0035] Obtain the parameters of the sample solution to be tested.

[0036] According to the matrix composition parameters and the parameters of the sample solution to be detected, the state characteristic index of the sample solution to be detected is obtained through analysis and processing.

[0037] In this embodiment, the specific analysis process of the sample solution state characteristic index to be detected is as follows:

[0038] The matrix composition parameters include the total concentration of major elements and the total number of major elements.

[0039] It should be noted that the major elements refer to the main constituent elements in the sample except the target analysis element (gold element). In this embodiment, the major elements include but are not limited to iron, copper, sulfur, silicon, etc.

[0040] It should also be noted that, in a specific embodiment, elements exceeding the corresponding element concentration threshold preset in the database are referred to as major elements.

[0041] In a specific sulfide ore sample, the gold concentration is 5 ppm (ppm is parts per million). The iron concentration reaches 5000 ppm, and the database preset iron concentration threshold is 1000 ppm. The copper concentration is 2000 ppm, and the preset threshold is 800 ppm. The sulfur exists in the form of sulfate ions, and the converted sulfur concentration is approximately 4500 ppm, and the preset threshold is 1500 ppm. The silicon exists in the form of silicon dioxide, and the converted silicon concentration reaches 3000 ppm, and the preset threshold is 1000 ppm. Therefore, iron, copper, sulfur, and silicon are all major elements.

[0042] In a specific embodiment, the presence of the major element may cause matrix effects, signal interference, etc., thereby affecting the detection process of the gold element.

[0043] The parameters of the sample solution to be detected include the conductivity and viscosity of the sample solution to be detected.

[0044] Among them, the conductivity can be collected by a conductivity meter, and the viscosity can be collected by a viscometer.

[0045] Extract the reference parameters of the sample solution state to be tested stored in the database, including the reference total concentration of major elements, the reference total number of major elements, the reference conductivity of the solution, and the reference viscosity of the solution.

[0046] According to the matrix composition parameters and the parameters of the sample solution to be detected, the state characteristic index of the sample solution to be detected is obtained through analysis and processing.

[0047] The state characteristic index is used to quantify the complexity of the sample solution and its potential impact on the detection process. The specific processing process includes: based on the complexity of the sample solution and the intensity of the matrix effect reflected by the matrix composition parameters, combined with the physicochemical properties of the solution characterized by the parameters of the sample solution to be detected, introducing the degree of deviation of each parameter from the reference value, quantifying the influence of the coupling of each parameter, and finally obtaining the state characteristic index of the sample solution to be detected.

[0048] In a specific embodiment, the method for obtaining the characteristic indicator of the state of the sample solution to be detected is as follows:

[0049]

[0050] Wherein, F is the state characteristic index of the sample solution to be tested, ρ is the total concentration of the main elements, C is the total number of the main elements, σ ​​is the conductivity of the sample solution to be tested, η is the viscosity of the sample solution to be tested, ρ0 is the reference total concentration of the main elements, C0 is the reference total number of the main elements, σ0 is the reference conductivity of the solution, η0 is the reference viscosity of the solution, x1 is the weight of the total concentration of the main elements, x2 is the weight of the total number of the main elements, x3 is the weight of the conductivity of the sample solution to be tested, and x4 is the weight of the viscosity of the sample solution to be tested.

[0051] It should be noted that the exponential relationship between the total concentration of major elements and the total number of major elements is used to quantify the complexity of the sample solution and the intensity of the matrix effect. The higher the total concentration of major elements and the greater the total number of major elements, the higher the complexity of the sample solution. At the same time, the greater the interference intensity of the major elements on gold, the stronger the matrix effect.

[0052] The conductivity and viscosity of the sample solution to be tested are used to quantify the solution's physicochemical properties. Conductivity reflects the mobility of ions in the solution. During testing, higher conductivity indicates a greater number of ions in the solution, with greater freedom of movement. This, on the one hand, affects the transport efficiency of the sample solution into the plasma, thereby altering the plasma's ion concentration distribution. On the other hand, higher conductivity may interfere with plasma stability, affecting the ionization process of gold.

[0053] Viscosity reflects the fluidity of a solution. When the viscosity is high, the fluidity of the solution deteriorates, affecting the uniformity of sample dispersion during plasma introduction, preventing stable and uniform plasma ionization. Furthermore, high viscosity can hinder the diffusion of ions in the solution, reducing the reaction rate between ions. This can also interfere with the ionization and detection of gold, leading to deviations in test results.

[0054] It should be noted that high concentrations and high element counts increase solution complexity, potentially leading to enhanced ion interactions, affecting plasma stability, and suppressing conductivity. Conductivity reflects ion mobility, while viscosity reflects solution fluidity. Together, these two factors influence sample introduction efficiency and plasma torch stability.

[0055] It should be understood that the weight of the total concentration of the major elements, the weight of the total number of the major elements, the weight of the conductivity of the sample solution to be detected, and the weight of the viscosity of the sample solution to be detected all have a value range of 0 to 1. When used, the pre-set values ​​can be directly extracted from the database. For example, the extraction method constructs a mapping set with the total concentration of the major elements, the total number of the major elements, the conductivity of the sample solution to be detected, and the viscosity of the sample solution to be detected respectively with the corresponding weights. When used, the total concentration of the major elements, the total number of the major elements, the conductivity of the sample solution to be detected, and the viscosity of the sample solution to be detected obtained in real time are input into the corresponding mapping set, thereby extracting the weight of the total concentration of the major elements, the weight of the total number of the major elements, the conductivity of the sample solution to be detected, and the viscosity of the sample solution to be detected.

[0056] The preset operating parameter adjustment values ​​of the inductively coupled plasma mass spectrometer are extracted according to the state characteristic indicators of the sample solution to be detected. The specific extraction process is as follows: the preset operating parameter adjustment values ​​corresponding to each solution state characteristic indicator interval stored in the database are extracted, and the preset operating parameter adjustment values ​​corresponding to the interval in which the state characteristic indicators of the sample solution to be detected are mapped and extracted, and recorded as the preset operating parameter adjustment values ​​of the inductively coupled plasma mass spectrometer.

[0057] The greater the characteristic index of the sample solution state, the greater the solution complexity, the greater the impact on plasma stability, and thus the greater the interference with gold detection. To ensure detection accuracy and stability, the corresponding extracted preset operating parameter adjustment value of the inductively coupled plasma mass spectrometer should be adjusted upward. The greater the characteristic index of the sample solution state, the greater the absolute value of the preset operating parameter adjustment value of the inductively coupled plasma mass spectrometer should be. This allows for more significant adjustment of the instrument operating parameters, overcomes the interference caused by solution complexity, ensures stable plasma operation, and improves the reliability of gold detection.

[0058] The preset operating parameters of the inductively coupled plasma mass spectrometer include radio frequency power, cooling gas flow, auxiliary gas flow and nebulizer pressure.

[0059] It's important to understand that RF power provides energy to the plasma, maintaining a stable ionization state. Cooling gas flow controls the plasma temperature, ensuring stable operation. Auxiliary gas flow adjusts the ion concentration in the plasma, optimizing its performance. Nebulizer pressure controls the rate at which the sample solution enters the plasma, ensuring uniform and stable sample introduction.

[0060] The type of ore to be detected is obtained, and preset working parameters of the inductively coupled plasma mass spectrometer corresponding to the type of ore to be detected stored in the database are extracted.

[0061] The initial setting of the working parameters of the inductively coupled plasma mass spectrometer is completed according to the preset working parameter adjustment values ​​of the inductively coupled plasma mass spectrometer and the preset working parameters of the inductively coupled plasma mass spectrometer.

[0062] S2, introducing the sample solution to be detected into the inductively coupled plasma mass spectrometer through an atomizer, and ionizing the sample solution to be detected by the action of plasma.

[0063] It is important to understand that the plasma is a high-temperature plasma. When the sample solution is introduced into the ICP-MS via a nebulizer, it enters the plasma flame. The plasma works by maintaining a high temperature (approximately 10,000 K) through high-energy radio frequency energy to ensure complete evaporation, atomization, excitation, and ionization of the sample elements.

[0064] S3, during ionization treatment, monitors the plasma state in real time, synchronously obtains the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, analyzes and matches the parameter adjustment mode, and synchronously determines the parameter linkage fine-tuning trigger tag, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer.

[0065] It should be noted that in actual operation, the working state of the plasma will be disturbed by many factors. For the element gold, its ionization potential is relatively high. If the plasma ionization conditions are not ideal (for example, the plasma temperature drops, resulting in insufficient electron kinetic energy to overcome the ionization potential of gold), the gold ionization efficiency will decrease. Conversely, when the plasma temperature is too high or the electron density increases abnormally, it may cause the "excitation" effect to increase or the stability of the ion body to deteriorate, thereby affecting the stability and accuracy of the gold ion production. When the same sample is tested at different time periods or between different samples, this difference in gold ionization efficiency caused by the unstable plasma state will bring serious errors to the final quantitative results. Therefore, it is necessary to monitor the plasma state in real time and perform adaptive adjustments.

[0066] In this embodiment, the plasma state is monitored in real time, and the specific process is as follows:

[0067] Monitor the plasma state in real time and obtain plasma state parameters.

[0068] The plasma state parameters include plasma torch temperature, electron density, ion current intensity and emission spectrum intensity.

[0069] It should be noted that the plasma torch temperature can be collected in real time by an infrared temperature sensor, and the electron density, ion current intensity and emission spectrum intensity can all be obtained by analysis by an inductively coupled plasma mass spectrometer.

[0070] It's important to understand that plasma torch temperature, electron density, ion flux, and emission spectrum intensity are interrelated and influence each other. Changes in plasma torch temperature directly affect electron density. Increasing temperature causes electrons to gain more energy, leading to an increase in electron density. Conversely, decreasing temperature reduces electron density. Changes in electron density, in turn, affect ion flux intensity. Higher electron density generally increases ionization and ion flux intensity, while lower electron density reduces ion flux intensity. Changes in ion flux intensity are reflected in emission spectrum intensity. A higher ion flux intensity generates more photons, resulting in a higher emission spectrum intensity; a lower ion flux intensity results in a lower emission spectrum intensity. The emission spectrum intensity is also related to the plasma torch temperature. Higher temperatures excite more particles, increasing the emission spectrum intensity. Together, these factors maintain plasma stability and operation.

[0071] The ideal plasma state parameters stored in the database are extracted, including the ideal plasma torch temperature, the ideal electron density, the ideal ion current intensity and the ideal emission spectrum intensity.

[0072] The plasma stability index is obtained based on the plasma state parameter analysis.

[0073] The plasma stability index is used to quantify the stability of the plasma during operation and its impact on test results. The specific processing process includes: based on the plasma's operating state as reflected by its physical characteristics, combined with the ideal values ​​of each parameter, the deviation of each state parameter from the ideal value is introduced, and the influence of the coupling of these parameters is quantified to ultimately obtain the plasma stability index.

[0074] In a specific embodiment, the plasma stability index is obtained by the following method:

[0075]

[0076] Among them, A is the plasma stability index, ζ is the plasma torch temperature, θ is the electron density, κ is the ion current intensity, τ is the emission spectrum intensity, ζ0 is the ideal plasma torch temperature, θ0 is the ideal electron density, κ0 is the ideal ion current intensity, τ0 is the ideal emission spectrum intensity, ζ1 is the plasma torch temperature weight, ζ2 is the electron density weight, ζ3 is the ion current intensity weight, and ζ4 is the emission spectrum intensity weight.

[0077] It should be noted that the plasma torch temperature, electron density, ion current intensity and emission spectrum intensity are used to quantify the working state of the plasma. The plasma torch temperature is a key factor affecting the operation of the plasma. The temperature directly determines the energy state of the particles. Too high a temperature may destroy the stability of the plasma, and too low a temperature cannot provide sufficient energy for the ionization of the gold element, thereby reducing the ionization efficiency.

[0078] Electron density reflects the distribution of electrons in a plasma. Too high or too low an electron density can disrupt the equilibrium within the plasma and affect its operational stability.

[0079] The ion current intensity directly reflects the number and motion state of ions in the plasma. The deviation of the ion current intensity from the ideal value means that the plasma state is unstable.

[0080] The intensity of the emission spectrum is related to the excitation and transition processes of particles in the plasma. When particles are excited to a high energy level and then transition back to a lower energy level, they emit photons, forming the emission spectrum. Deviations from the ideal emission spectrum intensity indicate unstable particle excitation, which in turn leads to unstable plasma operation.

[0081] It should be noted that the plasma torch temperature weight, electron density weight, ion flow intensity weight and emission spectrum intensity weight can all be extracted from the database to obtain preset values, and the value range is between 0 and 1. When used, the extraction method is, for example: the plasma torch temperature, electron density, ion flow intensity and emission spectrum intensity are constructed into a corresponding mapping set with the plasma torch temperature weight, electron density weight, ion flow intensity weight and emission spectrum intensity weight. When used, the real-time plasma torch temperature, electron density, ion flow intensity and emission spectrum intensity are respectively input into the mapping set to extract the corresponding weights.

[0082] In this embodiment, the matching parameter adjustment mode is analyzed, and the specific analysis process is as follows:

[0083] According to the plasma stability index, combined with the basic parameters and environmental parameters of inductively coupled plasma mass spectrometer, the plasma stability correction index is analyzed.

[0084] In this embodiment, the plasma stability correction index is analyzed, and the specific analysis process is as follows:

[0085] The basic parameters of the inductively coupled plasma mass spectrometer include the cumulative usage time, historical calibration times and usage frequency of the inductively coupled plasma mass spectrometer.

[0086] The basic parameters of the ICP-MS can be directly extracted from the system program log.

[0087] It should be noted that the cumulative usage time, historical calibration times, and usage frequency of an inductively coupled plasma mass spectrometer are closely related. The frequency of use directly affects the cumulative usage time. The higher the frequency of use, the longer the cumulative usage time within the same time span; conversely, the lower the frequency of use, the slower the growth rate of the cumulative usage time. The cumulative usage time is closely linked to the number of historical calibrations. As the cumulative usage time increases, the internal components of the instrument gradually wear and the performance changes. To ensure detection accuracy, the number of historical calibrations usually increases accordingly. The frequency of use will also have an impact on the number of historical calibrations. A high frequency of use means that the instrument is used more frequently, its performance changes more quickly, and more frequent calibration is required, so the number of historical calibrations will also increase. If the frequency of use is low, the instrument performance is relatively stable, and the number of historical calibrations will naturally decrease.

[0088] The environmental parameters include the temperature, humidity and electromagnetic interference intensity of the detection environment.

[0089] The temperature can be collected by a temperature sensor, the humidity can be collected by a humidity sensor, and the electromagnetic interference intensity can be collected by an electromagnetic interference intensity tester.

[0090] It's important to note that the temperature, humidity, and electromagnetic interference intensity of the measurement environment are interrelated and influence each other. Temperature changes can affect the state of water vapor in the environment, thereby altering humidity. For example, as temperature rises, water evaporation accelerates, and if ventilation and other conditions remain unchanged, humidity may increase. Conversely, decreasing temperature may cause water vapor to condense, resulting in a decrease in humidity. Changes in humidity, in turn, affect the conductivity of surfaces. A humid environment can cause a water film to form on some surfaces, enhancing conductivity. This can affect the propagation and coupling of electromagnetic interference, altering its intensity. Furthermore, electromagnetic interference can affect the accuracy of temperature and humidity measurements. The energy fluctuations generated by electromagnetic interference can also indirectly affect the local ambient temperature, such as by causing electronic equipment to heat up, thereby affecting the temperature and humidity distribution of the surrounding environment.

[0091] The reference basic parameters and reference environmental parameters stored in the database are extracted, wherein the reference basic parameters include reference cumulative usage time, reference historical calibration times and reference usage frequency.

[0092] The reference environmental parameters include ideal temperature, ideal humidity and reference electromagnetic interference intensity.

[0093] According to the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, the detection interference index is obtained by analysis and processing.

[0094] The detection interference index is used to quantify the degree of combined interference of instrument basic parameters and environmental factors on the detection results during the detection process. The specific processing process includes: based on the instrument usage status and performance stability reflected by the basic parameters of the inductively coupled plasma mass spectrometer, combined with the environmental factor characteristics represented by the detection environment parameters, introducing the proportional relationship or degree of deviation between each parameter and the reference value, quantifying the impact of the synergistic effect of each parameter, and finally obtaining the detection interference index.

[0095] In a specific embodiment, the interference index is detected, and the specific acquisition method is as follows:

[0096]

[0097] Wherein, B is the detection interference index, α is the cumulative usage time of the inductively coupled plasma mass spectrometer, β is the historical calibration times of the inductively coupled plasma mass spectrometer, f is the usage frequency of the inductively coupled plasma mass spectrometer, T is the temperature of the detection environment, γ is the humidity of the detection environment, ε is the electromagnetic interference intensity of the detection environment, α0 is the reference cumulative usage time, β0 is the reference historical calibration times, f0 is the reference usage frequency, T0 is the ideal temperature, γ0 is the ideal humidity, ε0 ​​is the reference electromagnetic interference intensity, y1 is the weight of the cumulative usage time, y2 is the weight of the historical calibration times, y3 is the weight of the usage frequency, y4 is the temperature weight, y5 is the humidity weight, y6 is the electromagnetic interference intensity weight, λ1 is the basic parameter weight, and λ2 is the environmental parameter weight.

[0098] It should be noted that the basic parameters of the inductively coupled plasma mass spectrometer are used to quantify the instrument's usage status and performance stability. The cumulative usage time reflects the instrument's usage history. The longer the usage time, the more serious the wear of the instrument's internal components may be, and the greater the possibility of affecting the detection accuracy. The number of historical calibrations reflects the frequency of adjustments made to the instrument to ensure accuracy during use. The more calibrations are performed, the more frequent the instrument's performance may change, and the more attention needs to be paid to stability. The frequency of use affects the instrument's fatigue and aging rate. A high frequency of use will cause the instrument to be continuously in working condition, accelerating component loss, and thus adversely affecting the instrument's performance stability.

[0099] Testing environment parameters are used to quantify the characteristics of environmental factors. Temperature fluctuations can affect the physical and chemical properties of substances. During testing, excessively high temperatures may cause instrument components to expand and deform, affecting the instrument's accuracy and stability. Excessively low temperatures may slow some reactions, affecting test efficiency. Humidity reflects the water vapor content in the environment. High humidity can cause internal moisture in the instrument, leading to circuit failures or corrosion, and reducing instrument reliability. Low humidity can also reduce the sealing and insulation properties of internal instrument components. Therefore, the greater the deviation of temperature and humidity from ideal values, the greater the environmental interference. Electromagnetic interference intensity indicates the degree of interference with electromagnetic signals in the environment. Strong electromagnetic interference can affect the instrument's electronic components, causing fluctuations and distortion in the test signal. In severe cases, it can even cause the instrument to malfunction, significantly interfering with accurate gold content detection.

[0100] It should be understood that the cumulative usage time weight, historical calibration number weight, usage frequency weight, temperature weight, humidity weight, electromagnetic interference intensity weight, basic parameter weight and environmental parameter weight all have a value range of 0 to 1. When used, the pre-set value can be directly extracted from the database. For example, the specific extraction method is to construct a mapping set with the cumulative usage time, historical calibration number and usage frequency of the inductively coupled plasma mass spectrometer and the corresponding weight respectively. When used, the cumulative usage time, historical calibration number and usage frequency of the inductively coupled plasma mass spectrometer obtained in real time are input into the corresponding mapping set, thereby extracting the cumulative usage time weight, historical calibration number weight and usage frequency weight. The temperature, humidity and electromagnetic interference intensity of the detection environment are respectively constructed with the corresponding weight. When used, the temperature, humidity and electromagnetic interference intensity of the detection environment obtained in real time are input into the corresponding mapping set, thereby extracting the temperature weight, humidity weight and electromagnetic interference intensity weight. A mapping set is constructed with the basic parameters and environmental parameters and the corresponding weights respectively. When used, the basic parameters and environmental parameters obtained in real time are input into the corresponding mapping set to extract the basic parameter weights and environmental parameter weights.

[0101] The interference correction coefficient corresponding to each interference index interval stored in the database is extracted, and the interference correction coefficient corresponding to the interval where the detection interference index is located is mapped and extracted, and recorded as the detection interference correction coefficient.

[0102] It is important to understand that the larger the detection interference index, the greater the degree of interference caused by the combined effects of the ICP-MS basic parameters and environmental parameters on the detection. To effectively correct the impact of these interfering factors on plasma stability and ensure the accuracy of the test results, the extracted detection interference correction factor should be larger. A larger detection interference correction factor can more significantly adjust the deviation caused by interference when analyzing the plasma stability correction index, making the quantitative assessment of plasma stability more consistent with actual detection conditions, thereby providing a more reliable numerical basis for subsequent parameter adjustment mode matching and instrument operating parameter adjustment.

[0103] According to the plasma stability index and the detection interference correction coefficient, the plasma stability correction index is obtained through analysis and processing.

[0104] The plasma stability correction index represents a quantitative result of the combined effect of the plasma stability index and the detection interference correction coefficient on the stability of the corrected plasma. Specifically, the plasma stability correction index is obtained based on the initial plasma stability reflected by the plasma stability index and the compensation effect of the detection interference correction coefficient on environmental and instrument interference.

[0105] In a specific embodiment, the plasma stability correction index is obtained by the following method:

[0106]

[0107] Among them, S is the plasma stability correction index, A is the plasma stability index, It is the detection interference correction factor.

[0108] It should be understood that the softplus function is a built-in function in Python, softplus(x)=lg(1+e x ).

[0109] Extract the plasma stability correction index threshold preset in the database.

[0110] The relative difference between the plasma stability correction index and the plasma stability correction index threshold is quantified to obtain the plasma stability correction deviation index.

[0111] Specifically:

[0112] Wherein, ΔS is the plasma stability correction deviation index, S is the plasma stability correction index, and S0 is the plasma stability correction index threshold.

[0113] It should be noted that the plasma stability correction deviation index may be greater than zero, less than zero, or equal to zero.

[0114] The parameter adjustment mode is matched according to the deviation index of plasma stability correction.

[0115] The parameter adjustment modes include a basic adjustment mode, an enhanced adjustment mode and an emergency adjustment mode.

[0116] In a specific embodiment, according to the plasma stability correction deviation index matching parameter adjustment mode, the specific process is as follows: extract the first threshold and the second threshold corresponding to the absolute value of the stability correction deviation index preset in the database, and record them as the stability correction deviation index first threshold and the stability correction deviation index second threshold.

[0117] If the absolute value of the plasma stability correction deviation index is less than the first threshold value of the stability correction deviation index, the parameter adjustment mode is recorded as the basic adjustment mode.

[0118] If the absolute value of the plasma stability correction deviation index is greater than or equal to the first stability correction deviation index threshold and less than or equal to the second stability correction deviation index threshold, the parameter adjustment mode is recorded as the enhanced adjustment mode.

[0119] If the absolute value of the plasma stability correction deviation index is greater than the stability correction deviation index second threshold, the parameter adjustment mode is recorded as the emergency adjustment mode.

[0120] It should be understood that if the absolute value of the plasma stability correction deviation index is less than the first threshold value of the stability correction deviation index, it means that the actual stability of the plasma is relatively close to the expected stability and is in a relatively stable state. At this time, the basic adjustment mode is used to fine-tune the working parameters of the inductively coupled plasma mass spectrometer to better maintain the stability of the detection environment.

[0121] If the absolute value of the plasma stability correction deviation index is greater than or equal to the first threshold of the stability correction deviation index and less than or equal to the second threshold of the stability correction deviation index, it means that there is a certain deviation between the stability of the plasma and the expectation, and the stability has shown a more obvious fluctuation. It is necessary to adopt the enhanced adjustment mode and adjust the instrument parameters to a larger extent to ensure that the detection process is not affected.

[0122] If the absolute value of the plasma stability correction deviation index is greater than the second threshold value of the stability correction deviation index, it means that the stability of the plasma is extremely poor, which may seriously affect the test results. It is necessary to start the emergency adjustment mode and make large adjustments to the instrument parameters to quickly restore the plasma to a stable state to ensure that the detection work can proceed normally.

[0123] It should be noted that, in a specific embodiment, the basic adjustment mode can correspond to a cooling gas flow rate of ±0.3 L / min, a radio frequency power of ±0.05 kW, the enhanced adjustment mode can correspond to a cooling gas flow rate of ±0.5 L / min, a radio frequency power of ±0.1 kW, an auxiliary gas flow rate of ±0.2 L / min, and the emergency adjustment mode can correspond to a cooling gas flow rate of ±1.0 L / min, a radio frequency power of ±0.2 kW, and a nebulizer pressure of ±5 psi.

[0124] Based on the parameter adjustment mode and the plasma stability correction deviation index, the first execution value of the inductively coupled plasma mass spectrometer working parameter is extracted.

[0125] The first execution values ​​of the working parameters of the inductively coupled plasma mass spectrometer include a first execution value of the cooling gas flow rate, a first execution value of the radio frequency power, a first execution value of the auxiliary gas flow rate, and a first execution value of the nebulizer pressure.

[0126] If the plasma stability correction deviation index is greater than zero, it indicates that the actual stability of the plasma is higher than expected. This may be because parameters such as the plasma temperature, electron density, ion current intensity, or emission spectrum intensity are higher than expected, resulting in overactivity of the plasma. Reducing the RF power can reduce the energy input to the plasma, thereby lowering the plasma temperature and electron density, reducing its activity. Increasing the cooling gas flow rate can remove more heat, helping to cool the plasma, thereby reducing its activity. Increasing the auxiliary gas flow rate can dilute the ion concentration in the plasma, reducing collisions and reactions between ions, thereby reducing the plasma activity. Therefore, the corresponding extracted first execution value of the inductively coupled plasma mass spectrometer operating parameters is a negative RF power first execution value, while the first execution values ​​of the cooling gas flow rate and the first execution values ​​of the auxiliary gas flow rate are both positive.

[0127] If the plasma stability correction deviation index is less than zero, it means that the plasma is too stable, which reduces the efficiency of its ionization treatment of the sample solution to be tested. Increasing the RF power can increase the energy input of the plasma, thereby increasing the temperature and electron density of the plasma and increasing its activity. Reducing the cooling gas flow rate can reduce the heat taken away and help the plasma heat up, thereby increasing its activity. Reducing the auxiliary gas flow rate can increase the ion concentration in the plasma, increase the collisions and reactions between ions, and thus increase the activity of the plasma. Therefore, the first execution value of the RF power in the first execution value of the corresponding extracted working parameters of the inductively coupled plasma mass spectrometer is positive, and the first execution value of the cooling gas flow rate and the first execution value of the auxiliary gas flow rate are both negative.

[0128] If the plasma stability correction deviation index is equal to zero, the corresponding extracted first execution values ​​of the inductively coupled plasma mass spectrometer operating parameters are all zero.

[0129] It should be noted that the nebulizer pressure is only adjusted when the parameter adjustment mode is determined to be emergency adjustment mode. This is because adjusting the nebulizer pressure can quickly change the sample concentration in the plasma, thereby affecting the plasma temperature and electron density, and restoring it to the desired stable state. When the plasma stability correction deviation index is greater than zero, the system will increase the nebulizer pressure to increase the sample introduction rate, increase the sample concentration in the plasma, and reduce the plasma temperature and electron density, thereby reducing its activity. When the plasma stability correction deviation index is less than zero, reducing the nebulizer pressure can reduce the sample introduction rate, avoid plasma overload, and thus improve plasma stability.

[0130] In this embodiment, the determination parameters are linked to fine-tune the trigger tag, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer. The specific analysis process is as follows:

[0131] The parameter linkage fine-tuning includes triggering objects such as the plasma torch temperature and the plasma flow intensity.

[0132] The second adjustment value of the inductively coupled plasma mass spectrometer operating parameter is matched according to the plasma torch temperature and the plasma flux intensity.

[0133] Extract the ideal temperature range and ideal ion current intensity range preset in the database.

[0134] If the plasma torch temperature exceeds the ideal temperature range or the plasma current intensity exceeds the ideal range, the parameter linkage fine-tuning trigger tag is recorded as executing the parameter linkage fine-tuning.

[0135] The execution parameter linkage fine-tuning is specifically as follows: if the temperature exceeds the ideal temperature range, the cooling gas flow adjustment value and the auxiliary gas flow adjustment value are obtained with the preset temperature deviation step value; if the ion current intensity exceeds the ideal ion current intensity range, the RF power adjustment value and the nebulizer pressure adjustment value are obtained with the preset ion current intensity deviation degree.

[0136] It should be understood that if the temperature is less than the minimum value of the ideal temperature range, the numerical result of subtracting the temperature from the minimum value of the ideal temperature range is used as the temperature deviation; if the temperature is greater than the maximum value of the ideal temperature range, the numerical result of subtracting the temperature from the maximum value of the ideal temperature range is used as the temperature deviation.

[0137] It should be noted that the method for obtaining the degree of deviation of the ion current intensity is the same as above, so it will not be repeated here.

[0138] In one embodiment, if the temperature exceeds the ideal temperature range, the cooling gas flow rate is adjusted by ±0.1 L / min for every 100 K deviation, and the auxiliary gas flow rate is simultaneously adjusted by ±0.05 L / min to stabilize the ion current.

[0139] If the ion current intensity exceeded the ideal range, the RF power was adjusted by ±0.01 kW for every 1% fluctuation, and the nebulizer pressure was adjusted by ±0.5 psi to stabilize the sample introduction rate.

[0140] If the plasma torch temperature is within the ideal temperature range and the plasma current intensity and the ion current intensity are within the ideal range, the parameter linkage fine-tuning trigger tag is recorded as not executing parameter linkage fine-tuning, and the second adjustment value of the inductively coupled plasma mass spectrometer operating parameter is zero.

[0141] The first execution value of the inductively coupled plasma mass spectrometer operating parameter and the second adjustment value of the inductively coupled plasma mass spectrometer operating parameter complete the adaptive adjustment of the inductively coupled plasma mass spectrometer operating parameter.

[0142] In a specific embodiment, it is assumed that when detecting an ore sample, the plasma stability correction deviation index is analyzed to be 0.5, and the plasma torch temperature is 8000K, which exceeds the ideal temperature range (assuming that the ideal temperature range is 7500K-7800K), and the ion current intensity is 90%, which is in the ideal ion current intensity range (assuming that the ideal ion current intensity range is 85%-95%).

[0143] The plasma stability correction deviation index is greater than zero and the parameter adjustment mode is the basic adjustment mode, so the first execution value of the RF power is -0.05kW, the first execution value of the cooling gas flow is +0.3L / min, and the first execution value of the auxiliary gas flow is 0.

[0144] If the plasma torch temperature exceeds the ideal temperature range, the cooling gas flow rate is adjusted by ±0.1 L / min for every 100 K deviation, and the auxiliary gas flow rate is simultaneously adjusted by ±0.05 L / min to stabilize the ion flux. The temperature deviation is 8000 K - 7800 K = 200 K, so the second adjustment value for the cooling gas flow rate is +0.2 L / min (i.e., 200 K ÷ 100 K × 0.1 L / min), the second adjustment value for the auxiliary gas flow rate is +0.1 L / min (i.e., 200 K ÷ 100 K × 0.05 L / min), and the second adjustment value for the RF power is 0.

[0145] Therefore, when the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer is completed, the cooling gas flow adjustment value is 0.5L / min (i.e. 0.3L / min+0.2L / min=0.5L / min), the RF power adjustment value is -0.05kW (i.e. -0.05kW+0=-0.05kW), and the auxiliary gas flow adjustment value is 0.2L / min (i.e. 0.1L / min+0.1L / min=0.2L / min).

[0146] In this embodiment, the ionized sample solution to be tested is introduced into a mass spectrometer to perform a quantitative analysis of the gold content of the sample solution to be tested, and the test results are output. The specific analysis steps are as follows:

[0147] A1, ions are accelerated into the mass spectrometer through an electric field to form an ion beam.

[0148] A2. The magnetic field in the mass spectrometer separates the ion beam according to its mass-to-charge ratio, thereby enabling qualitative and quantitative analysis of elements.

[0149] A3: The detector receives the ion signal and converts it into an electrical signal for amplification and recording, thereby outputting the gold content test result of the sample solution to be tested.

[0150] S4, after the ionization treatment is completed, the ions are accelerated by the electric field to enter the mass spectrometer, the quantitative analysis of the gold content of the sample solution to be tested is completed, and the test results are output.

[0151] The method for detecting gold content in ore based on big data described in the present invention also includes monitoring the pretreatment process of the ore to be detected and determining the completeness of dissolution of the sample solution to be detected. The specific analysis process is as follows:

[0152] Obtain a feature set of the ore to be detected, and extract the dissolution execution parameters of the ore to be detected from the database.

[0153] It should be noted that the ore feature set to be detected includes ore type and ore particle size distribution, which are directly uploaded by the operator.

[0154] The ore types include but are not limited to sulfide ore, oxide ore, silicate ore, etc.

[0155] It should be understood that the database stores the ore dissolution execution parameters to be tested corresponding to each ore type and each ore particle size distribution interval.

[0156] The ore dissolution execution parameters to be detected include ore dissolution temperature, pH value and dissolution time.

[0157] Collect the dissolution data of the ore to be tested at the preset dissolution time, and analyze the dissolution completion index value of the ore to be tested.

[0158] The dissolution completion index value of the ore to be tested is used to quantify the dissolution degree of the ore at a specific dissolution moment. The specific processing process includes: based on the dissolution process and solution characteristics reflected by the dissolution data of the ore to be tested collected at a preset dissolution moment, combined with the ideal dissolution state represented by the reference ore dissolution data stored in the database, introducing the difference between each dissolution data and the reference value for comparison, quantifying the impact of the combined effect of each data, and finally obtaining the dissolution completion index value of the ore to be tested.

[0159] In a specific embodiment, the specific analysis process of the ore dissolution completion index value to be detected is as follows:

[0160] The ore dissolution data to be tested include solution pH, redox potential, solution turbidity and residual solid mass fraction.

[0161] It's important to understand that solution pH, redox potential, solution turbidity, and residual solids mass fraction are interrelated during ore dissolution. Changes in solution pH affect the redox reaction, which in turn alters the redox potential. This can also affect the solubility of certain ore components, leading to changes in the residual solids mass fraction and indirectly influencing solution turbidity. Changes in the redox potential can influence the dissolution and precipitation of elements in the ore, affecting the residual solids mass fraction and solution turbidity. Furthermore, these reactions may consume or generate acids and bases, influencing solution pH. Solution turbidity is primarily caused by suspended solid particles in the solution. The residual solids mass fraction directly determines the concentration of solid particles in the solution and is a key factor affecting solution turbidity. Changes in solution turbidity can also, to a certain extent, reflect changes in the residual solids mass fraction. Changes in the residual solids mass fraction stem from changes in the degree of ore dissolution, a process that involves chemical reactions that affect the composition and properties of the solution, impacting its pH and redox potential.

[0162] Extract reference ore dissolution data stored in the database, including reference solution pH, reference redox potential, reference dissolution solution turbidity, and reference residual solid mass fraction.

[0163] It should be noted that the pH value of the solution can be measured by a pH meter, the redox potential can be monitored in real time by an ORP electrode, the turbidity of the dissolved solution can be measured by a turbidimeter, and the residual solid mass fraction can be calculated by a turbidity-based regression model preset in the database.

[0164] For example, the regression model based on turbidity is: Remaining solid mass fraction = 0.08*turbidity + 0.002*(turbidity) 2 +0.3.

[0165] The dissolution completion index value of the ore to be tested is specifically expressed as follows:

[0166]

[0167] Among them, C is the index value of the dissolution completion degree of the ore to be tested, b is the pH value of the solution, w is the redox potential, d is the turbidity of the dissolved solution, g is the mass fraction of the remaining solids, b0 is the reference pH value of the solution, w0 is the reference redox potential, d0 is the reference turbidity of the dissolved solution, g0 is the reference mass fraction of the remaining solids, h1 is the weight of the solution pH value, h2 is the weight of the redox potential, h3 is the weight of the dissolved solution turbidity, and h4 is the weight of the remaining solids mass fraction.

[0168] It should be noted that the solution pH weight, redox potential weight, dissolved liquid turbidity weight and residual solid mass fraction weight all have a value range of 0-1. When used, the pre-set values ​​can be directly extracted from the database. The specific extraction method is, for example, to construct a mapping set with the solution pH value, redox potential, dissolved liquid turbidity and residual solid mass fraction and the corresponding solution pH weight, redox potential weight, dissolved liquid turbidity weight and residual solid mass fraction weight respectively. When extracting the weights, the solution pH value, redox potential, dissolved liquid turbidity and residual solid mass fraction obtained in real time are input into the mapping set to extract the corresponding weights.

[0169] Extract the minimum value of the ideal ore dissolution completion index corresponding to the preset dissolution time in the database.

[0170] If the ore dissolution completion index value to be tested is greater than or equal to the minimum value of the ideal ore dissolution completion index, the dissolution completion determination result of the sample solution to be tested is recorded as the solution is completely dissolved; otherwise, the dissolution completion determination result of the sample solution to be tested is recorded as the solution is not completely dissolved.

[0171] When the solution has not been completely dissolved, the ore dissolution completion index value to be tested is subtracted from the minimum value of the ideal ore dissolution completion index to obtain the ore dissolution completion deviation coefficient.

[0172] The amount of dissolution reagent added and the extended dissolution time are extracted according to the ore dissolution completion coefficient to complete the dissolution process of the ore to be tested.

[0173] It should be noted that the larger the deviation coefficient of ore dissolution completion, the higher the degree of dissolution incompleteness of the sample solution to be tested, and the larger the amount of dissolution reagent added and the extended dissolution time should be.

[0174] In a specific embodiment, suppose a sulfide ore is being dissolved, with a preset dissolution completion determination time of 3 minutes. The database retrieves the ideal minimum dissolution completion index for this ore at 3 minutes, which is 80%. Analysis reveals that the dissolution completion index for the ore under test is 60%, resulting in a 20% coefficient of variation for dissolution completion. Because the dissolution completion index for the ore under test is lower than the ideal minimum, the dissolution completion determination for the sample solution under test is recorded as incomplete dissolution.

[0175] Further, according to the pre-established database association relationship, when the ore dissolution completion deviation coefficient is 20%, 5 ml of dissolution reagent needs to be added during extraction (assuming that a mixed reagent of hydrochloric acid and nitric acid is used for the dissolution of the sulfide ore), and the dissolution time needs to be extended by 2 minutes to complete the dissolution process of the ore to be tested and ensure the accuracy of subsequent gold content detection.

[0176] See Figure 2 As shown, the second aspect of the present invention provides a system for detecting gold content in ore based on big data, comprising:

[0177] The inductively coupled plasma mass spectrometer working parameter initial setting module is used to pre-treat the ore to be tested to obtain the sample solution to be tested, analyze and process the sample solution to be tested, and thus perform the initial setting of the inductively coupled plasma mass spectrometer working parameters.

[0178] The sample solution ionization treatment module is used to introduce the sample solution to be detected into the inductively coupled plasma mass spectrometer through the atomizer, and ionize the sample solution to be detected under the action of plasma.

[0179] The inductively coupled plasma mass spectrometer working parameter adjustment module is used to monitor the plasma state in real time during ionization processing, synchronously obtain the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, analyze and match the parameter adjustment mode, and synchronously determine the parameter linkage fine-tuning trigger tag, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer.

[0180] The test result output module is used to accelerate the ions into the mass spectrometer through the electric field after the ionization treatment is completed, complete the quantitative analysis of the gold content of the sample solution to be tested, and output the test results.

[0181] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0182] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0183] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0184] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0185] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0186] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for detecting gold content in ore based on big data, characterized in that: The following steps are involved: S1, pre-treating the ore to be tested to obtain a sample solution to be tested, analyzing and processing the sample solution to be tested, and then performing initial setting of the working parameters of the inductively coupled plasma mass spectrometer; S2, introducing the sample solution to be tested into the inductively coupled plasma mass spectrometer through an atomizer, and ionizing the sample solution to be tested by the action of plasma; S3, during ionization processing, monitors the plasma state in real time, synchronously obtains the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, analyzes and matches the parameter adjustment mode, and synchronously determines the parameter linkage fine-tuning trigger tag, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer; S4, after the ionization process is completed, the ions are accelerated by the electric field to enter the mass spectrometer, the gold content of the sample solution to be tested is quantitatively analyzed, and the test results are output; Inductively coupled plasma emission spectroscopy is used to perform full element scanning on the sample solution to obtain matrix composition parameters; Obtaining parameters of the sample solution to be tested; According to the matrix composition parameters and the parameters of the sample solution to be detected, the state characteristic index of the sample solution to be detected is obtained by analysis and processing; Extracting preset working parameter adjustment values ​​of the inductively coupled plasma mass spectrometer according to characteristic indicators of the state of the sample solution to be detected; The preset operating parameters of the inductively coupled plasma mass spectrometer include radio frequency power, cooling gas flow rate, auxiliary gas flow rate and nebulizer pressure; Obtaining the type of ore to be detected, and extracting the preset working parameters of the inductively coupled plasma mass spectrometer corresponding to the type of ore to be detected stored in the database; According to the preset working parameter adjustment values ​​of the inductively coupled plasma mass spectrometer and the preset working parameters of the inductively coupled plasma mass spectrometer, the initial setting of the working parameters of the inductively coupled plasma mass spectrometer is completed; The specific method for obtaining the characteristic indicators of the sample solution state to be tested is as follows: ， in, is the characteristic indicator of the sample solution state to be detected, is the total concentration of major elements, is the total number of major elements, is the conductivity of the sample solution to be tested, is the viscosity of the sample solution to be tested, is the total concentration of the reference major elements, is the total number of reference major elements, is the reference conductivity of the solution, is the reference viscosity of the solution, is the total concentration weight of the major elements, is the total number weight of the main elements, is the conductivity weight of the sample solution to be tested, is the viscosity weight of the sample solution to be tested.

2. The method for detecting gold content in ore based on big data according to claim 1, characterized in that: The real-time monitoring of plasma state is carried out as follows: Monitor plasma state in real time and obtain plasma state parameters; The plasma state parameters include plasma torch temperature, electron density, ion current intensity and emission spectrum intensity; The plasma stability index is obtained based on the plasma state parameter analysis; The plasma stability index is used to quantify the stability of the plasma during operation and its impact on the test results. The specific processing process includes: based on the plasma working state reflected by the physical characteristics of the plasma, combined with the ideal values ​​of each parameter, introducing the degree of deviation of each state parameter from the ideal value, quantifying the impact of the coupling of each parameter, and finally obtaining the plasma stability index.

3. The method for detecting gold content in ore based on big data according to claim 1, characterized in that: The analysis matching parameter adjustment mode, the specific analysis process is as follows: According to the plasma stability index, combined with the basic parameters of the inductively coupled plasma mass spectrometer and environmental parameters, the plasma stability correction index is analyzed; Extracting a plasma stability correction index threshold preset in a database; The relative difference between the plasma stability correction index and the plasma stability correction index threshold is quantified to obtain a plasma stability correction deviation index; Matching parameter adjustment mode according to plasma stability correction deviation index; The parameter adjustment mode includes a basic adjustment mode, an enhanced adjustment mode and an emergency adjustment mode; Extracting a first execution value of an inductively coupled plasma mass spectrometer operating parameter based on a parameter adjustment mode and a plasma stability correction deviation index; The first execution values ​​of the working parameters of the inductively coupled plasma mass spectrometer include a first execution value of the cooling gas flow rate, a first execution value of the radio frequency power, a first execution value of the auxiliary gas flow rate, and a first execution value of the nebulizer pressure.

4. The method for detecting gold content in ore based on big data according to claim 3, characterized in that: The specific analysis process of analyzing the plasma stability correction index is as follows: The basic parameters of the inductively coupled plasma mass spectrometer include the cumulative usage time, historical calibration times and usage frequency of the inductively coupled plasma mass spectrometer; The environmental parameters include the temperature, humidity and electromagnetic interference intensity of the detection environment; According to the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, the detection interference index is obtained by analysis and processing; The detection interference index is used to quantify the degree of comprehensive interference of instrument basic parameters and environmental factors on the detection results during the detection process. The specific processing process includes: based on the instrument usage and performance stability reflected by the basic parameters of the inductively coupled plasma mass spectrometer, combined with the environmental factor characteristics represented by the detection environment parameters, introducing the proportional relationship or deviation degree between each parameter and the reference value, quantifying the influence of the synergistic effect of each parameter, and finally obtaining the detection interference index; Extract the interference correction coefficient corresponding to each interference index interval stored in the database, and map and extract the interference correction coefficient corresponding to the interval where the detection interference index is located, and record it as the detection interference correction coefficient; According to the plasma stability index and the detection interference correction coefficient, the plasma stability correction index is obtained by analysis and processing; The plasma stability correction index represents a quantitative result of the combined effect of the plasma stability index and the detection interference correction coefficient on the stability of the corrected plasma. Specifically, the plasma stability correction index is obtained based on the initial plasma stability reflected by the plasma stability index and the compensation effect of the detection interference correction coefficient on environmental and instrument interference.

5. The method for detecting gold content in ore based on big data according to claim 1, characterized in that: The determination parameters are linked to fine-tune the trigger tag, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer. The specific analysis process is as follows: The parameter linkage fine-tuning, whose triggering objects include plasma torch temperature and plasma flow intensity; Matching a second adjustment value of an inductively coupled plasma mass spectrometer operating parameter according to the plasma torch temperature and the plasma flux intensity; Extract the ideal temperature range and the ideal ion current intensity range preset in the database; If the plasma torch temperature exceeds the ideal temperature range or the plasma current intensity exceeds the ideal range, the parameter linkage fine-tuning trigger tag is recorded as executing parameter linkage fine-tuning; If the plasma torch temperature is within the ideal temperature range and the plasma current intensity and the ion current intensity are within the ideal range, the parameter linkage fine-tuning trigger tag is recorded as not executing the parameter linkage fine-tuning, that is, the second adjustment value of the inductively coupled plasma mass spectrometer working parameter is zero; The execution parameter linkage fine-tuning is specifically as follows: if the temperature exceeds the ideal temperature range, the cooling gas flow adjustment value and the auxiliary gas flow adjustment value are obtained according to the preset temperature deviation step value; if the ion current intensity exceeds the ideal ion current intensity range, the radio frequency power adjustment value and the nebulizer pressure adjustment value are obtained according to the preset ion current intensity deviation degree; Based on the first execution value of the working parameter of the inductively coupled plasma mass spectrometer and the second adjustment value of the working parameter of the inductively coupled plasma mass spectrometer, an optimized adjustment value of the working parameter of the inductively coupled plasma mass spectrometer is obtained, thereby performing adaptive adjustment of the working parameter of the inductively coupled plasma mass spectrometer.

6. The method for detecting gold content in ore based on big data according to claim 1, characterized in that: After the ionization treatment is completed, the ions are accelerated by the electric field to enter the mass spectrometer to complete the quantitative analysis of the gold content of the sample solution to be tested, and the test results are output. The specific analysis steps are as follows: A1, uses an electric field to accelerate ions into the mass spectrometer to form an ion beam; A2, the magnetic field in the mass spectrometer separates the ion beam according to its mass-to-charge ratio, thus enabling qualitative and quantitative analysis of elements; A3: The detector receives the ion signal and converts it into an electrical signal for amplification and recording, thereby outputting the gold content test result of the sample solution to be tested.

7. The method for detecting gold content in ore based on big data according to claim 1, characterized in that: It also includes monitoring the pretreatment process of the ore to be tested and determining the completeness of the dissolution of the sample solution to be tested. The specific analysis process is as follows: Obtain a feature set of the ore to be tested, and extract the dissolution execution parameters of the ore to be tested from the database; The ore dissolution execution parameters to be tested include ore dissolution temperature, pH value and dissolution time; Collect the dissolution data of the ore to be tested at the preset dissolution time and analyze the dissolution completion index value of the ore to be tested; Extract the minimum value of the ideal ore dissolution completion index corresponding to the dissolution time preset in the database; If the ore dissolution completion index value is greater than or equal to the minimum value of the ideal ore dissolution completion index, the dissolution completion determination result of the sample solution to be tested is recorded as the solution is completely dissolved; otherwise, the dissolution completion determination result of the sample solution to be tested is recorded as the solution is not completely dissolved; When the solution is not completely dissolved, the ore dissolution completion index value to be tested is subtracted from the minimum value of the ideal ore dissolution completion index to obtain the ore dissolution completion deviation coefficient; The amount of dissolution reagent added and the extended dissolution time are extracted according to the ore dissolution completion coefficient to complete the dissolution process of the ore to be tested.

8. A system for applying the method for detecting gold content in ore based on big data as described in any one of claims 1 to 7, characterized in that: include: The inductively coupled plasma mass spectrometer working parameter initial setting module is used to pre-treat the ore to be tested to obtain the sample solution to be tested, analyze and process the sample solution to be tested, and thus perform the initial setting of the working parameters of the inductively coupled plasma mass spectrometer; The sample solution ionization treatment module is used to introduce the sample solution to be tested into the inductively coupled plasma mass spectrometer through the atomizer, and ionize the sample solution to be tested under the action of plasma; The ICP-MS operating parameter adjustment module is used to monitor the plasma state in real time during ionization processing, synchronously obtain the basic parameters and environmental parameters of the ICP-MS, analyze and match the parameter adjustment mode, and synchronously determine the parameter linkage fine-tuning trigger tag, thereby completing the adaptive adjustment of the ICP-MS operating parameters; The test result output module is used to accelerate the ions into the mass spectrometer through the electric field after the ionization treatment is completed, complete the quantitative analysis of the gold content of the sample solution to be tested, and output the test results.

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