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

Abstract

The invention discloses an ore gold content detection method and system based on big data, and belongs to the technical field of ore gold content detection.The method comprises the steps that to-be-detected ore is pretreated, a to-be-detected sample solution is obtained, working parameters of an inductively coupled plasma mass spectrometer are initially set, the to-be-detected sample solution is ionized, and the to-be-detected sample solution is obtained; and monitoring the plasma state in real time, completing self-adaptive adjustment of working parameters of the inductively coupled plasma mass spectrometer, accelerating ions to enter the mass spectrometer through an electric field after ionization treatment is completed, completing quantitative analysis of the gold content of a to-be-detected sample solution, and outputting a detection result. According to the invention, the self-adaptive adjustment of the working parameters of the instrument is realized, the problem of gold ionization efficiency difference caused by unstable plasma state is solved, the accuracy and reliability of the detection result are improved, and the efficiency and accuracy of the whole detection process are improved by monitoring the pretreatment process of the to-be-detected ore and judging the dissolution completeness.

Description

Technical Field

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

[0002] With the continuous improvement of the requirements for ore quality, accurately and quickly determining the gold content in ores is of great significance for the rational development and utilization of mineral resources. Traditional gold content detection methods, such as fire assay method, atomic absorption spectrometry, and inductively coupled plasma emission spectrometry, although can meet the detection requirements to a certain extent, are prone to interference from matrix effects when dealing with complex matrix samples, resulting in a reduction in the accuracy and reliability of the detection results.

[0003] In recent years, inductively coupled plasma mass spectrometry has gradually become the main method for detecting the gold content in ores due to its high sensitivity, high selectivity, and the ability to simultaneously detect multiple elements. However, in practical applications, the working state of the plasma is easily affected by factors, and the complexity of the sample matrix will have a significant impact on the detection results.

[0004] For example, an analytical method for on-line determination of bromine and iodine species by UHPLC-ICPMS disclosed in the invention patent announcement with the publication number: CN107102072B includes: selecting UHPLC and ICP-MS instruments; optimizing the parameters of the ICP-MS instrument; configuring the separation column and guard column of UHPLC and optimizing the separation conditions; connecting the pipelines of the UHPLC and ICP-MS instruments and detecting for leaks; pretreating the sample to be tested; obtaining the experimental chromatogram separation diagram to determine the separation time; measuring the standard curve, detection limit, and precision; performing spike recovery and actual sample determination.

[0005] For example, a method for determining iron isotopes by MC-ICPMS disclosed in the invention patent with the publication number: CN118191083A includes: after converting the digested sample into hydrochloric acid medium, purifying it through an anion chromatography column and eluting it with hydrochloric acid and nitric acid aqueous solution to obtain the purified and separated sample solution to be tested; using MC-ICPMS to determine the iron isotopes in the purified and separated sample solution to be tested. The present invention focuses on improving the element separation process of iron. In 6mol / L hydrochloric acid, iron forms a complex anion and is adsorbed by the anion resin, and the impurity ions are eluted with 6mol / L hydrochloric acid, and iron is eluted and collected with 2vol.% nitric acid aqueous solution.

[0006] However, in the process of implementing the technical solution of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0007] The current methods for detecting the ore content using inductively coupled plasma mass spectrometry mainly focus on the monitoring and analysis of the overall detection process. However, in actual operation, the working state of the plasma is extremely vulnerable to external factors, with poor stability, which significantly affects the accuracy of the detection results. Especially in the detection of the gold content in ores, due to the relatively high ionization potential of gold elements, if the ionization conditions of the plasma are not ideal, the ionization efficiency of gold will decrease, thereby affecting the stability and accuracy of the production quantity of gold ions. The existing methods for detecting the gold content in ores lack the monitoring and adjustment of the plasma state, which easily leads to differences in the gold ionization efficiency caused by the unstable plasma state when detecting the same sample at different times or different samples, resulting in serious errors in the final quantitative results. Summary of the Invention

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

[0009] S1, Pretreat the ore to be detected to obtain a sample solution to be detected, and perform analysis and processing on the sample solution to be detected, so as to initially set the working parameters of the inductively coupled plasma mass spectrometer.

[0010] S2, Introduce the sample solution to be detected into the inductively coupled plasma mass spectrometer through an atomizer, and perform ionization treatment on the sample solution to be detected under the action of the plasma.

[0011] S3, During the ionization treatment, monitor the plasma state in real time, 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 trigger label for parameter linkage fine adjustment, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer.

[0012] S4, After the ionization treatment is completed, accelerate the ions into the mass spectrometer through an electric field to complete the quantitative analysis of the gold content in the sample solution to be detected, and output the detection result.

[0013] The second aspect of the present invention provides a system for detecting the gold content in ores based on big data, including:

[0014] An initial setting module for the working parameters of the inductively coupled plasma mass spectrometer, which is used to pretreat the ore to be detected to obtain a sample solution to be detected, and perform analysis and processing on the sample solution to be detected, so as to initially set the working parameters of the inductively coupled plasma mass spectrometer.

[0015] An ionization treatment module for the sample solution to be detected, which is used to introduce the sample solution to be detected into the inductively coupled plasma mass spectrometer through an atomizer, and perform ionization treatment on the sample solution to be detected under the action of the plasma.

[0016] The working parameter adjustment module of the inductively coupled plasma mass spectrometer 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 label, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer.

[0017] The detection result output module is used to accelerate ions into the mass spectrometer through an electric field after the ionization process is completed, complete the quantitative analysis of the gold content in the sample solution to be detected, and output the detection result.

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

[0019] 1. A method for detecting the gold content in ore based on big data provided by the present invention realizes the adaptive adjustment of the working parameters of the instrument by monitoring the plasma state in real time and combining the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, solves the problem of gold ionization efficiency difference caused by unstable plasma state, improves the accuracy and reliability of the detection result. At the same time, by monitoring the pretreatment process of the ore to be detected and judging the dissolution completion, the quality of the sample solution is further ensured, ensuring that the gold element is completely dissolved, thereby improving the efficiency and accuracy of the entire detection process.

[0020] 2. The present invention analyzes and processes the sample solution to be detected, and then initializes the working parameters of the inductively coupled plasma mass spectrometer. According to the characteristics of the sample solution and combining the preset working parameters corresponding to the ore type, the precise initial setting of the working parameters of the inductively coupled plasma mass spectrometer is realized. It can effectively adapt to the detection requirements of different samples, reduce the interference of matrix effects, create good conditions for the subsequent ionization of the sample solution to be detected by the plasma, improve the accuracy and reliability of gold element detection, ensure the efficient and stable progress of the entire detection process, and reduce the detection error caused by unreasonable initial parameters.

[0021] 3. By monitoring the plasma state in real time and completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer, the present invention can timely sense the change of the plasma state, automatically optimize the working parameters of the instrument, avoid the abnormal ionization of gold elements caused by unstable plasma state, reduce the detection error, significantly improve the detection accuracy rate, ensure that the detection result can accurately reflect the gold content in the ore, and provide reliable data support for the reasonable development and efficient utilization of mineral resources. Description of the Drawings

[0022] Figure 1 It is a flowchart of a method for detecting the gold content in ore based on big data provided by an embodiment of the present application;

[0023] Figure 2 Schematic structural diagram of a gold content detection system for ore based on big data provided by an embodiment of the present application; Specific embodiments

[0024] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a 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 those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] Refer to Figure 1 As shown, a gold content detection method for ore based on big data is provided in the first aspect of the present invention, including the following steps:

[0026] S1. Pretreat the ore to be detected to obtain a sample solution to be detected, and perform analysis and processing on the sample solution to be detected, so as to initially set the working parameters of the inductively coupled plasma mass spectrometer.

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

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

[0029] It should be noted that the choice of acid dissolution or alkali fusion treatment is related to the type of ore. For example, for some sulfide ores, acid dissolution is usually used, and common acids include hydrochloric acid, nitric acid, etc. During acid dissolution, some oxidants are usually added to promote the dissolution of gold, such as nitric acid and sodium peroxide. For some oxide ores or silicate ores, alkali fusion treatment is usually used. Alkali fusion treatment usually uses alkaline fluxes, such as sodium hydroxide or sodium carbonate, to melt the ore sample together with the flux at high temperature to convert the gold element into a form soluble in the solution.

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

[0031] It should be noted that in this example, sulfide ore is taken as an example and the acid dissolution method is used.

[0032] After the sample is treated by acid dissolution or alkali fusion, a certain amount of solid residue or precipitate is usually generated, which may contain undissolved minerals or other impurities. To remove these solid residues or precipitates, filtration treatment is required. Usually, a microporous membrane or filter paper is used to filter the sample solution to separate the solid particles and obtain a clear solution. The filtered solution may contain a high concentration of gold element. To make it suitable for analysis by inductively coupled plasma mass spectrometry, dilution treatment is required. The purpose of dilution is to reduce the concentration of gold element in the solution so that it is within the linear range of inductively coupled plasma mass spectrometry analysis, avoiding signal saturation or excessive dilution. Dilution is usually carried out with an appropriate diluent, such as double-distilled water or dilute acid, and diluted in a suitable proportion according to the concentration of the original solution and the detection sensitivity of inductively coupled plasma mass spectrometry. During the dilution process, it is necessary to ensure thorough mixing of the solution to ensure the uniformity of the sample.

[0033] In this embodiment, the sample solution to be detected is analyzed and processed to initially set the working parameters of the inductively coupled plasma mass spectrometry. The specific analysis method is as follows:

[0034] Use inductively coupled plasma emission spectrometry to perform a full-element scan on the sample solution to be detected to obtain matrix composition parameters.

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

[0036] According to the matrix composition parameters and the parameters of the sample solution to be detected, analyze and process to obtain the state characteristic indexes of the sample solution to be detected.

[0037] In this embodiment, the state characteristic indexes of the sample solution to be detected are as follows. The specific analysis process 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 other 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, an element exceeding the preset concentration threshold of the corresponding element in the database is called a major element.

[0041] In a specific sulfide ore sample, the concentration of gold element is 5 ppm (ppm is a concentration unit of one in a million). The concentration of iron element reaches 5000 ppm, the preset iron element concentration threshold in the database is 1000 ppm, the concentration of copper element is 2000 ppm, the preset threshold is 800 ppm, sulfur element exists in the form of sulfate ion, and after conversion, the sulfur element concentration is about 4500 ppm, its preset threshold is 1500 ppm, silicon element exists in the form of silicon dioxide, and after conversion, the silicon element concentration reaches 3000 ppm, the preset threshold is 1000 ppm. Therefore, iron element, copper element, sulfur element and silicon element are all major elements.

[0042] In a specific embodiment, the presence of major elements will cause matrix effects, signal interference, etc., thus affecting the detection process of 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 obtained by collecting with a viscometer.

[0045] Extract the reference parameters of the state of the sample solution to be detected stored in the database, including the total concentration of reference major elements, the total number of reference 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, analyze and process to obtain the state characteristic index of the sample solution to be detected.

[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 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, introduce the deviation degree of each parameter from the reference value, quantify the combined influence of each parameter, and finally obtain the state characteristic index of the sample solution to be detected.

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

[0049]

[0050] Among them, F is the state characteristic index of the sample solution to be detected, ρ is the total concentration of major elements, C is the total number of major elements, σ is the conductivity of the sample solution to be detected, η is the viscosity of the sample solution to be detected, ρ 0 is the total concentration of reference major elements, C 0 is the total number of reference major elements, σ 0 is the reference conductivity of the solution, η 0 is the reference viscosity of the solution, x1 is the weight value of the total concentration of major elements, x 2 is the weight value of the total number of major elements, x 3 is the weight value of the conductivity of the sample solution to be detected, x 4 is the weight value of the viscosity of the sample solution to be detected.

[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 total number of major elements, the higher the complexity of the sample solution. At the same time, the greater the interference intensity of major elements on gold elements and the stronger the matrix effect.

[0052] The conductivity and viscosity of the sample solution to be detected are used to quantify the physical and chemical properties of the solution. Conductivity reflects the migration ability of ions in the solution. During the detection process, the higher the conductivity, it means that the number of ions in the solution is relatively large and they move relatively freely. On the one hand, this will affect the transmission efficiency when the sample solution enters the plasma, and then change the ion concentration distribution of the plasma. On the other hand, the higher conductivity may interfere with the stability of the plasma and affect the ionization process of gold elements.

[0053] Viscosity reflects the fluidity of the solution. When the viscosity of the solution is high, the fluidity of the solution becomes poor, which will affect the dispersion uniformity of the sample when it is introduced into the plasma and cannot enter the plasma stably and uniformly for ionization treatment. Moreover, high viscosity may also hinder the diffusion of ions in the solution and reduce the reaction rate between ions, which also interferes with the ionization and detection of gold elements and causes deviations in the detection results.

[0054] It should be noted that high concentration and high element number will increase the complexity of the solution, which may lead to enhanced interaction between ions, affect the stability of the plasma, and at the same time inhibit the conductivity. Conductivity reflects the ion migration ability, and viscosity reflects the fluidity of the solution. Both of them jointly affect the sample introduction efficiency and the stability of the plasma torch.

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

[0056] Extract the adjusted values of the preset working parameters of the inductively coupled plasma mass spectrometer according to the characteristic indexes of the state of the sample solution to be detected. The specific extraction process is as follows: Extract the adjusted values of the preset working parameters corresponding to each interval of the characteristic indexes of the state of the solution stored in the database, and map and extract the adjusted values of the preset working parameters corresponding to the interval where the characteristic indexes of the state of the sample solution to be detected are located, which is denoted as the adjusted values of the preset working parameters of the inductively coupled plasma mass spectrometer.

[0057] The larger the characteristic indexes of the state of the sample solution to be detected, the higher the complexity of the solution, the greater the impact on the stability of the plasma, and thus the greater the interference on the detection of gold elements. To ensure the accuracy and stability of the detection, the adjusted values of the preset working parameters of the inductively coupled plasma mass spectrometer corresponding to the extraction should be increased, and the larger the characteristic indexes of the state of the sample solution to be detected, the larger the absolute value of the adjusted values of the preset working parameters of the inductively coupled plasma mass spectrometer should be, so as to more significantly adjust the working parameters of the instrument, overcome the interference caused by the solution complexity, ensure the stable operation of the plasma, and improve the reliability of gold element detection.

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

[0059] It should be understood that the radio frequency power is used to provide energy for the plasma to maintain the stable ionization state of the plasma. The cooling gas flow rate is used to control the temperature of the plasma to ensure the stable operation of the plasma. The auxiliary gas flow rate is used to adjust the ion concentration in the plasma to optimize the working performance of the plasma. The nebulizer pressure is used to control the rate at which the sample solution enters the plasma to ensure that the sample can be introduced evenly and stably.

[0060] Obtain the type of ore to be detected, and extract the preset working parameters of the inductively coupled plasma mass spectrometer corresponding to the type of ore to be detected stored in the database.

[0061] Complete the initial setting of the working parameters of the inductively coupled plasma mass spectrometer according to the adjusted values of the preset working parameters of the inductively coupled plasma mass spectrometer and the preset working parameters of the inductively coupled plasma mass spectrometer.

[0062] S2. Introduce the sample solution to be detected into the inductively coupled plasma mass spectrometer through a nebulizer, and perform ionization treatment on the sample solution to be detected under the action of the plasma.

[0063] It should be understood that the plasma is a high-temperature plasma. When the sample solution is introduced into the inductively coupled plasma mass spectrometer through a nebulizer, it enters the plasma flame. The working principle of the plasma is to maintain a high temperature (about 10,000 K) through high-energy radio frequency energy to ensure the complete evaporation, atomization, excitation, and ionization of the sample elements.

[0064] S3. During the ionization process, the plasma state is monitored in real time, the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer are obtained synchronously, the parameter adjustment mode is analyzed and matched, and the parameter linkage fine-tuning trigger label is determined synchronously, 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 is affected by many factors. For gold elements, its ionization potential is relatively high. If the ionization conditions of the plasma are not ideal (such as the plasma temperature drops, resulting in the electron kinetic energy being insufficient to overcome the ionization potential of gold), then the ionization efficiency of gold will decrease. On the contrary, when the plasma temperature is too high or the electron density increases abnormally, it may cause an increase in the "excitation" effect or a deterioration in the stability of the plasma, thereby affecting the stability and accuracy of the gold ion production. When the same sample is detected at different time periods or different samples are detected, 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 adjustment.

[0066] In this embodiment, the process of monitoring the plasma state in real time is as follows:

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

[0068] The plasma state parameters include the 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 through an infrared temperature sensor, and the electron density, ion current intensity, and emission spectrum intensity can all be obtained through analysis by the inductively coupled plasma mass spectrometer.

[0070] It should be understood that the plasma torch temperature, electron density, ion current intensity, and emission spectrum intensity are interrelated and interact with each other. The change in the plasma torch temperature will directly affect the electron density. As the temperature rises, electrons gain more energy, and the electron density increases accordingly; conversely, when the temperature drops, the electron density decreases. The change in the electron density will also act on the ion current intensity. A higher electron density usually enhances the degree of ionization and increases the ion current intensity; when the electron density decreases, the ion current intensity will also decrease accordingly. The change in the ion current intensity is reflected in the emission spectrum intensity. The greater the ion current intensity, the more photons are excited, and the higher the emission spectrum intensity, and vice versa. The emission spectrum intensity is also related to the plasma torch temperature. At high temperatures, more particles are excited, and the emission spectrum intensity increases. Together, they maintain the stability and working state of the plasma.

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

[0072] Analyze the plasma state parameters to obtain the plasma stability index.

[0073] The plasma stability index is used to quantify the stability of the plasma during operation and its impact on the detection 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, introduce the deviation degree of each state parameter from the ideal value, quantify the influence of the coupling of each parameter, and finally obtain the plasma stability index.

[0074] In a specific embodiment, the method for obtaining the plasma stability index is as follows:

[0075]

[0076] where 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, ζ 0 is the ideal plasma torch temperature, θ 0 is the ideal electron density, κ 0 is the ideal ion current intensity, τ 0 is the ideal emission spectrum intensity, ζ 1 is the plasma torch temperature weight, ζ 2 is the electron density weight, ζ 3 is the ion current intensity weight, ζ 4 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 plasma working state. The plasma torch temperature is a key factor affecting the plasma operation. The temperature directly determines the energy state of the particles. Too high a temperature may damage the plasma stability, while too low a temperature cannot provide sufficient energy for the ionization of gold elements and reduces the ionization efficiency.

[0078] The electron density reflects the number distribution of electrons in the plasma. Too high or too low an electron density will break the internal balance of the plasma and affect its working 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 emission spectral intensity 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 low energy level, photons are emitted, forming an emission spectrum. The deviation of the emission spectral intensity from the ideal value indicates that the particle excitation situation is unstable, which in turn leads to an unstable working state of the plasma.

[0081] It should be noted that the preset values of the plasma torch temperature weight, electron density weight, ion current intensity weight, and emission spectral intensity weight can all be extracted from the database, and their value ranges are all between 0 and 1. For example, the extraction method during use is as follows: construct a corresponding mapping set for the plasma torch temperature, electron density, ion current intensity, and emission spectral intensity with the plasma torch temperature weight, electron density weight, ion current intensity weight, and emission spectral intensity weight. During use, input the plasma torch temperature, electron density, ion current intensity, and emission spectral intensity obtained in real time into the mapping set respectively, so as to extract the corresponding weights.

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

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

[0084] In this embodiment, the analysis of the plasma stability correction index is specifically analyzed as follows:

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

[0086] The basic parameters of the inductively coupled plasma mass spectrometer can be directly extracted from the system program log.

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

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

[0089] Among them, 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 obtained by an electromagnetic interference intensity tester.

[0090] It should be noted that the temperature, humidity, and electromagnetic interference intensity of the detection environment are interrelated and interact with each other. The change in temperature may affect the water vapor state in the environment, thereby changing the humidity. For example, when the temperature rises, the water evaporation accelerates, and if the ventilation and other conditions remain unchanged, the humidity may increase accordingly; conversely, a decrease in temperature may cause water vapor condensation and a decrease in humidity. The change in humidity will in turn affect the surface conductivity of objects. A humid environment may form a water film on the surface of some objects, enhancing the conductivity, which may affect the propagation and coupling effect of electromagnetic interference and change the electromagnetic interference intensity. At the same time, electromagnetic interference may also affect the measurement accuracy of temperature and humidity, and the energy fluctuation generated by electromagnetic interference may also indirectly affect the local environmental temperature, such as making electronic devices heat up, thereby affecting the temperature and humidity distribution of the surrounding environment.

[0091] Extract the reference basic parameters and reference environmental parameters stored in the database. Among them, the reference basic parameters include the reference cumulative usage duration, the reference historical calibration times, and the reference usage frequency.

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

[0093] Analyze and process the inductively coupled plasma mass spectrometer basic parameters and environmental parameters to obtain the detection interference index.

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

[0095] In a specific embodiment, the method for specifically obtaining the detection interference index is as follows:

[0096]

[0097] Among them, B is the detection interference index, α is the cumulative usage duration 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, α 0 is the reference cumulative usage duration, β 0is the number of historical calibrations, f 0 is the reference usage frequency, T 0 is the ideal temperature, γ 0 is the ideal humidity, ε 0 is the reference electromagnetic interference intensity, y 1 is the weight of cumulative usage duration, y 2 is the weight of the number of historical calibrations, y 3 is the weight of usage frequency, y 4 is the weight of temperature, y 5 is the weight of humidity, y 6 is the weight of electromagnetic interference intensity, λ 1 is the weight of basic parameters, λ 2 is the weight of environmental parameters.

[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 duration reflects the instrument's usage history. The longer the usage time, the more severe the wear of the internal components of the instrument may be, and the greater the possibility of affecting the detection accuracy. The number of historical calibrations reflects the adjustment frequency of the instrument to ensure accuracy during use. The more calibration times, the more frequent the instrument performance changes may be, and the more attention should be paid to stability. The usage frequency affects the fatigue degree and aging speed of the instrument. High usage frequency will keep the instrument in a working state continuously, accelerating component loss, and thus having an adverse impact on the instrument's performance stability.

[0099] The detected environmental parameters are used to quantify the characteristics of environmental factors. The change of temperature will affect the physical and chemical properties of substances. During the detection process, too high temperature may cause the instrument components to expand and deform, affecting the accuracy and stability of the instrument. Too low temperature may slow down some reaction rates, affecting the detection efficiency. Humidity reflects the water vapor content in the environment. A high-humidity environment may cause the instrument to get damp inside, leading to circuit failures or corrosion problems, reducing the reliability of the instrument. A low-humidity environment will reduce the sealing performance and insulation performance of the internal components of the instrument. Therefore, the greater the deviation of temperature and humidity from the ideal values, the stronger the environmental interference. The electromagnetic interference intensity represents the interference degree of electromagnetic signals in the environment. Stronger electromagnetic interference will affect the electronic components of the instrument, resulting in fluctuations and distortions of the detection signals. In severe cases, it may even cause the instrument to malfunction, greatly interfering with the accurate detection of gold content.

[0100] It should be understood that the value ranges of the cumulative usage duration weight, the historical calibration times weight, the usage frequency weight, the temperature weight, the humidity weight, the electromagnetic interference intensity weight, the basic parameter weight, and the environmental parameter weight are all from 0 to 1. When in use, the preset values can be directly extracted from the database. For example, the specific extraction method is to construct a mapping set by respectively matching the cumulative usage duration, the historical calibration times, and the usage frequency of the inductively coupled plasma mass spectrometer with the corresponding weights. When in use, the cumulative usage duration, the historical calibration times, and the usage frequency of the inductively coupled plasma mass spectrometer obtained in real time are input into the corresponding mapping set, so as to extract the cumulative usage duration weight, the historical calibration times weight, and the usage frequency weight. A mapping set is constructed by respectively matching the temperature, humidity, and electromagnetic interference intensity of the detection environment with the corresponding weights. When in use, the temperature, humidity, and electromagnetic interference intensity of the detection environment obtained in real time are input into the corresponding mapping set, so as to extract the temperature weight, the humidity weight, and the electromagnetic interference intensity weight. A mapping set is constructed by respectively matching the basic parameters and environmental parameters with the corresponding weights. When in use, the basic parameters and environmental parameters obtained in real time are input into the corresponding mapping set, so as to extract the basic parameter weight and the environmental parameter weight.

[0101] Extract the interference correction coefficients corresponding to each interference index interval stored in the database, and map and extract the interference correction coefficient corresponding to the interval where the detected interference index is located, which is denoted as the detected interference correction coefficient.

[0102] It should be understood that the larger the detected interference index, the higher the degree of interference impact on the detection jointly caused by the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer. In order to effectively correct the influence of these interference factors on the plasma stability and ensure the accuracy of the detection results, the larger the detected interference correction coefficient obtained. A larger detected interference correction coefficient can more significantly adjust the deviation caused by interference when analyzing the plasma stability correction index, making the quantitative evaluation of the plasma stability degree more in line with the actual detection situation, and further providing a more reliable numerical basis for the matching of the subsequent parameter adjustment mode and the adjustment of the instrument working parameters.

[0103] Analyze and process to obtain the plasma stability correction index according to the plasma stability index and the detected interference correction coefficient.

[0104] The plasma stability correction index represents the quantitative result of the joint influence of the plasma stability index and the detected interference correction coefficient on the corrected plasma stability degree. Specifically: based on the initial plasma stability reflected by the plasma stability index, combined with the compensation effect of the detected interference correction coefficient on environmental and instrument interference, the plasma stability correction index is finally obtained.

[0105] In a specific embodiment, the method for specifically obtaining the plasma stability correction index is as follows:

[0106]

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

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

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

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

[0111] Specifically:

[0112] Among them, ΔS is the plasma stability correction deviation index, S is the plasma stability correction index, and S 0 is the plasma stability correction index threshold.

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

[0114] Match the parameter adjustment mode according to the plasma stability correction deviation index.

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

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

[0117] If the absolute value of the plasma stability correction deviation index is less than the first threshold of the stability correction deviation index, then record the parameter adjustment mode 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 threshold of the stability correction deviation index and less than or equal to the second threshold of the stability correction deviation index, then record the parameter adjustment mode as the enhanced adjustment mode.

[0119] If the absolute value of the plasma stability correction deviation index is greater than the second threshold of the stability correction deviation index, 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 of the stability correction deviation index, it indicates that the actual stability of the plasma is relatively close to the expected stability and is in a relatively stable state. At this time, by using the basic adjustment mode to finely adjust the working parameters of the inductively coupled plasma mass spectrometer, the stability of the detection environment can be better maintained.

[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 indicates that there is a certain deviation between the stability of the plasma and the expectation, and the stability has fluctuated significantly. It is necessary to adopt the enhanced adjustment mode to adjust the instrument parameters more significantly 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 of the stability correction deviation index, it indicates that the stable state of the plasma is extremely poor, which may seriously affect the detection result. It is necessary to start the emergency adjustment mode to greatly adjust the instrument parameters so that the plasma can quickly return to the stable state and 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 working parameters of the inductively coupled plasma mass spectrometer is extracted.

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

[0126] If the plasma stability correction deviation index is greater than zero, it means that the actual stability of the plasma is higher than the expected stability. This may be because the parameters such as the temperature, electron density, ion current intensity or emission spectrum intensity of the plasma are higher than the expected values, resulting in the plasma being too active. Reducing the RF power can reduce the energy input of the plasma, thereby reducing the temperature and electron density of the plasma and reducing its activity. Increasing the cooling gas flow rate can take away more heat and help the plasma cool down, thereby reducing its activity. Increasing the auxiliary gas flow rate can dilute the ion concentration in the plasma, reduce the collision and reaction between ions, and thus reduce the activity of the plasma. Therefore, the first execution value of the RF power in the first execution value of the corresponding extracted inductively coupled plasma mass spectrometer working parameters is negative, and the first execution value of the cooling gas flow rate and the first execution value 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 its efficiency in ionizing 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 collision and reaction 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 inductively coupled plasma mass spectrometer working parameters extracted is a positive value, 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 values.

[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 working 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 the emergency adjustment mode, because by adjusting the nebulizer pressure, the sample concentration in the plasma can be quickly changed, thereby affecting the temperature and electron density of the plasma and restoring it to the expected 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 temperature and electron density of the plasma to reduce 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 the stability of the plasma.

[0130] In this embodiment, the determination parameter linkage fine-tuning trigger tag is used to complete 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 has trigger objects including the temperature of the plasma torch and the intensity of the plasma flow.

[0132] Match the second adjustment value of the operating parameters of the inductively coupled plasma mass spectrometer according to the temperature of the plasma torch and the intensity of the plasma flow.

[0133] Extract the preset ideal temperature range and ideal ion flow intensity range from the database.

[0134] If the temperature of the plasma torch exceeds the ideal temperature range or the ion flow intensity exceeds the ideal range, mark the parameter linkage fine-tuning trigger label as executing parameter linkage fine-tuning.

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

[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 value 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 maximum value of the ideal temperature range from the temperature is used as the temperature deviation.

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

[0138] In a specific embodiment, if the temperature exceeds the ideal temperature range, adjust the cooling gas flow rate by ±0.1 L / min for every 100K deviation, and synchronously adjust the auxiliary gas flow rate by ±0.05 L / min to stabilize the ion flow.

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

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

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

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

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

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

[0145] Thus, when completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer, the adjustment value of the cooling gas flow rate is 0.5L / min (i.e., 0.3L / min + 0.2L / min = 0.5L / min), the adjustment value of the RF power is -0.05kW (i.e., -0.05kW + 0 = -0.05kW), and the adjustment value of the auxiliary gas flow rate 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 detected is introduced into the mass spectrometer for quantitative analysis of the gold content in the sample solution to be detected, and the detection result is output. The specific analysis steps are as follows:

[0147] A1, The ions are accelerated by an electric field to enter the mass spectrometer and 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 realizing qualitative and quantitative analysis of elements.

[0149] A3, The detector receives the ion signal, converts it into an electrical signal for amplification and recording, and thus outputs the detection result of the gold content in the sample solution to be detected.

[0150] S4. After the ionization process is completed, the ions are accelerated by an electric field and enter the mass spectrometer to complete the quantitative analysis of the gold content in the sample solution to be detected, and the detection results are output.

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

[0152] Obtain the characteristic 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 characteristic set of the ore to be detected includes the ore type and the ore particle size distribution, which are directly uploaded by the operator.

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

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

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

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

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

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

[0160] The dissolution data of the ore to be detected includes the solution pH value, redox potential, turbidity of the dissolution solution, and mass fraction of the remaining solid.

[0161] It should be understood that the solution pH value, redox potential, turbidity of the dissolved solution, and mass fraction of the remaining solid are interrelated during the ore dissolution process. The change in the solution pH value will affect the progress of the redox reaction, thereby changing the redox potential. At the same time, it may also affect the dissolution degree of certain components in the ore, resulting in a change in the mass fraction of the remaining solid and indirectly affecting the turbidity of the dissolved solution. The change in the redox potential will affect the dissolution and precipitation of elements in the ore, affect the mass fraction of the remaining solid and the turbidity of the dissolved solution, and may consume or generate acidic and alkaline substances during the reaction process, affecting the solution pH value. The turbidity of the dissolved solution is mainly caused by the solid particles suspended in the solution. The mass fraction of the remaining solid directly determines the content of solid particles in the solution and is the key factor affecting the turbidity of the dissolved solution. The change in the turbidity of the dissolved solution can also reflect the change in the mass fraction of the remaining solid to a certain extent. The change in the mass fraction of the remaining solid results from the change in the ore dissolution degree. This process involves chemical reactions, which will affect the composition and properties of the solution and have an impact on the solution pH value and redox potential.

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

[0163] It should be noted that the solution pH value 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 mass fraction of the remaining solid can be calculated by a regression model based on turbidity preset in the database.

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

[0165] The index value of the dissolution completion degree of the ore to be detected, the specific representation method is:

[0166]

[0167] Among them, C is the index value of the dissolution completion degree of the ore to be detected, b is the solution pH value, w is the redox potential, d is the turbidity of the dissolved solution, g is the mass fraction of the remaining solid, b 0 is the reference solution pH value, w 0 is the reference redox potential, d 0 is the reference turbidity of the dissolved solution, g 0 is the reference mass fraction of the remaining solid, h 1 is the weight of the solution pH value, h 2 is the weight of the redox potential, h 3 is the weight of the turbidity of the dissolved solution, h 4 is the weight of the mass fraction of the remaining solid.

[0168] It should be noted that the value ranges of the solution pH value weight, redox potential weight, dissolved solution turbidity weight, and residual solid mass fraction weight are all 0 - 1. When in use, the pre-set values can be directly extracted from the database. For example, the specific extraction method is to construct a mapping set by respectively matching the solution pH value, redox potential, dissolved solution turbidity, and residual solid mass fraction with the corresponding solution pH value weight, redox potential weight, dissolved solution turbidity weight, and residual solid mass fraction weight. When extracting the weights, the solution pH value, redox potential, dissolved solution 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 moment in the database.

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

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

[0172] Extract the dissolution reagent addition amount and the dissolution extension duration according to the ore dissolution completion deviation coefficient to complete the dissolution process of the ore to be detected.

[0173] It should be noted that the larger the ore dissolution completion deviation coefficient, the higher the degree of incomplete dissolution of the sample solution to be detected, and the larger the corresponding dissolution reagent addition amount and dissolution extension duration should be.

[0174] In a specific embodiment, assume that a certain sulfide ore is subjected to a dissolution treatment, and it is preset to determine the dissolution completion at 3 minutes of dissolution. The minimum value of the ideal ore dissolution completion index of this ore at 3 minutes is extracted from the database as 80%. Through analysis, the value of the ore dissolution completion index to be detected is obtained as 60%, then the ore dissolution completion deviation coefficient is 20%. Since the value of the ore dissolution completion index to be detected is lower than the minimum value of the ideal ore dissolution completion index, the dissolution completion determination result of the sample solution to be detected is recorded as the solution is not completely dissolved.

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

[0176] Refer to Figure 2 As shown, the second aspect of the present invention provides a detection system for the gold content in ore based on big data, including:

[0177] An initial setting module for the working parameters of an inductively coupled plasma mass spectrometer, which is used to preprocess the ore to be detected to obtain a sample solution to be detected, and analyze and process the sample solution to be detected, so as to initially set the working parameters of the inductively coupled plasma mass spectrometer.

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

[0179] A working parameter adjustment module for the inductively coupled plasma mass spectrometer, which 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 triggering label for parameter linkage fine adjustment, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer.

[0180] A detection result output module, which is used to accelerate the ions into the mass spectrometer through an electric field after the ionization processing is completed, complete the quantitative analysis of the gold content in the sample solution to be detected, and output the detection result.

[0181] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can be implemented in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can be implemented in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0182] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the specified functions in one process Figure 1 one process or multiple processes and / or blocks Figure 1 one 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 apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the function specified in one or more processes and / or blocks Figure 1 in one or more processes and / or blocks Figure 1 specified in the flowchart.

[0184] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the function specified in one or more processes and / or blocks Figure 1 in one or more processes and / or blocks Figure 1 specified in the flowchart.

[0185] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to cover the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0186] It is obvious that those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

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, thereby initially setting the working parameters of the inductively coupled plasma mass spectrometer; 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 through the action of plasma; S3, during ionization processing, real-time monitoring of the plasma state, synchronous acquisition of the basic parameters and environmental parameters of the inductively coupled plasma mass spectrometer, analysis and matching of parameter adjustment modes, synchronous determination of parameter linkage fine-tuning trigger tags, thereby completing the adaptive adjustment of the working parameters of the inductively coupled plasma mass spectrometer; S4, after the ionization treatment is completed, the ions are accelerated into the mass spectrometer through the electric field to complete the quantitative analysis of the gold content of the sample solution to be tested, and the test results are output.

2. A method for detecting gold content in ore based on big data as claimed in claim 1, characterized in that: The sample solution to be detected 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: Use inductively coupled plasma emission spectroscopy 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 the state characteristic index 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 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.

3. A method for detecting gold content in ore based on big data as claimed in claim 2, characterized in that: The specific analysis process of the characteristic indicator of the sample solution state to be detected is as follows: The matrix composition parameters include the total concentration of major elements and the total number of major elements; The parameters of the sample solution to be detected include conductivity and viscosity of the sample solution to be detected; 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; 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 reflected by the matrix composition parameters and the strength of the matrix effect, combined with the physicochemical properties of the solution characterized by the parameters of the sample solution to be detected, the degree of deviation between each parameter and the reference value is introduced, the influence of the coupling of each parameter is quantified, and finally the state characteristic index of the sample solution to be detected is obtained.

4. A method for detecting gold content in ore based on big data as claimed in claim 1, characterized in that: The real-time monitoring of plasma state is specifically performed as follows: Monitor the 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 influence on the detection 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 influence of the coupling of each parameter, and finally obtaining the plasma stability index.

5. A method for detecting gold content in ore based on big data as claimed in 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 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; Quantifying the relative difference between the plasma stability correction index and the plasma stability correction index threshold value to obtain a plasma stability correction deviation index; Matching parameter adjustment mode according to plasma stability correction deviation index; The parameter adjustment modes include 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 working 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 cooling gas flow, a first execution value of radio frequency power, a first execution value of auxiliary gas flow and a first execution value of nebulizer pressure.

6. A method for detecting gold content in ore based on big data as claimed in claim 5, 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 comprehensive interference degree of the 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 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, which is recorded 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 the 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: based on the initial stability of the plasma reflected by the plasma stability index, combined with the compensation effect of the detection interference correction coefficient on the environment and instrument interference, the plasma stability correction index is finally obtained.

7. A method for detecting gold content in ore based on big data as claimed in 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 parameters are fine-tuned in linkage, and the triggering objects thereof include the plasma torch temperature and the plasma flow intensity; Matching a second adjustment value of an inductively coupled plasma mass spectrometer operating parameter according to a plasma torch temperature and a plasma flux intensity; Extract the ideal temperature range and the ideal ion current intensity range preset in the database; If the temperature of the plasma torch exceeds the ideal temperature range or the ion current intensity of the plasma flow exceeds the ideal range, the parameter linkage fine-tuning trigger tag is recorded as executing the parameter linkage fine-tuning; If the plasma torch temperature is within the ideal temperature range and the plasma current intensity is within the ideal ion current intensity 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 working parameter of the inductively coupled plasma mass spectrometer 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 with a preset temperature deviation step value; if the ion current intensity exceeds the ideal ion current intensity range, the RF power adjustment value and the atomizer pressure adjustment value are obtained with a 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, the 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.

8. A method for detecting gold content in ore based on big data as claimed in claim 1, characterized in that: After the ionization treatment is completed, the ions are accelerated into the mass spectrometer through the electric field 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, ions are accelerated into the mass spectrometer through an electric field 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 achieving 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.

9. A method for detecting gold content in ore based on big data, 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 detected, and extract the dissolution execution parameters of the ore to be detected from the database; The ore dissolution execution parameters to be detected 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 preset dissolution time in the database; If the ore dissolution completion index value is greater than or equal to the ideal ore dissolution completion index minimum value, 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 has not been completely dissolved, the minimum value of the ideal ore dissolution completion index minus the ore dissolution completion index value to be tested is used 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 degree deviation coefficient to complete the dissolution process of the ore to be tested.

10. A system for using a method for detecting gold content in ore based on big data as described in any one of claims 1 to 9, 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 through the action of plasma; 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; 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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