16072 results about "Mineralogy" patented technology

A component includes a body having a coupon opening defined therein, and an additively manufactured (AM) metal coupon including a dense region, a porous region adjacent the dense region, and a coupon outer surface. The porous region has a first cross-sectional area at a first location at or near the coupon outer surface and a second cross-sectional area less than the first cross-sectional area at a second location distal from the coupon outer surface. A braze material couples the metal coupon in the coupon opening and infiltrates into the porous region, e.g., based at least on a characteristic of the porosity thereof. The dense region may have a third cross-sectional area at the first location and a fourth cross-sectional area greater than the third cross-sectional area at the second location so it can direct the braze material in the porous region toward an inner surface of the coupon opening.

A component includes a dense base region, a dense replacement region and an additively manufactured (AM) porous region between the dense base region and the dense replacement region. The porous region has a porosity between 2% to 50% open space volume to total volume of the AM porous region. The porous region can be printed onto the base region or the replacement region. A braze material couples the base region, the porous region and the replacement region together, and infiltrates into the porous region based at least on a characteristic of the porosity. The porous region reduces stress at a joint between the dense regions and can be customized to create different physical characteristic(s) than just those of the base and replacement regions.

A metal coupon for repairing a component includes an additively manufactured (AM) metal member having a low porosity region in an interior of the AM metal member, and a porous region around the low porosity region. The low porosity region may have a porosity in a range of 0% to 5%, so is solid or nearly solid. The porous metal coupon with low porosity region allows braze material to be directed based on characteristics of the porous region.

The invention discloses a multi-factor prospecting prediction method suitable for tin polymetallic ore, and relates to the technical field of geological science. The prospecting prediction method comprises the following steps: collecting data; fusing multi-source data; extracting and analyzing mineralization information; constructing a comprehensive prediction model; and predicting mineralization. According to the method, a potential tin polymetallic ore deposit area is preliminarily selected by comprehensively considering multi-source information such as geology, geophysics, geochemistry and remote sensing, drilling data and profile data are collected in the area, the drilling data and the profile data are utilized to construct a comprehensive prediction model, and the model is combined with advanced algorithms such as geostatistics and machine learning, so that the prediction accuracy of the tin polymetallic ore deposit area is improved. The multi-source data is efficiently integrated, and a three-dimensional visualization result is provided, so that the position and the scale of a potential ore body can be more accurately predicted, and the success rate of prospecting is improved.

The invention relates to a metal sample block with a porous area for a component and the component with the metal sample block. A component (202) includes a body (206) and an additive manufactured (AM) metal sample block (200) that includes at least one first porous region (300A) having a first porosity and can include any number of second porous regions (300B) having a second porosity different from the first porosity. A braze material (310) couples the metallic sample block (200) in a sample block opening (204) in the body (206). The braze material (310) is infiltrated into at least one of the first porous region (300A) and any second porous region (300B) based at least on a characteristic of the first porosity and at least on a characteristic of the second porosity. Different porosities can be tailored to provide different physical characteristics for the first porous region (300A) and the second porous region (300B) having the braze material (310) therein.

The invention belongs to the technical field of geological information processing, and discloses a geological mineral exploration data extraction system which comprises the following steps: constructing an air-ground-hole three-in-one acquisition network, and respectively acquiring earth surface mineral spectrum data, seismic longitudinal wave and transverse wave reflection data and rock core main quantity and trace element composition data; processing the collected data to form a five-dimensional data cube containing space coordinates, spectrum parameters, physical property parameters, element parameters and time indexes, performing physical layer attribute extraction on the five-dimensional data cube, performing analysis to obtain a wave impedance value and a lithology category probability array, performing semantic layer attribute extraction on the five-dimensional data cube, and performing semantic layer attribute extraction on the five-dimensional data cube; an alteration type probability array is obtained through analysis, an alteration zoning graph layer is generated, the mineralization potential index and a five-dimensional data cube are fused, a four-dimensional dynamic database is constructed, a mineralization potential prediction graph layer and a drilling priority graph are generated based on the four-dimensional dynamic database, and therefore the decision-making level of ore body drilling deployment is improved.

The invention relates to the technical field of fluorescence sensing development, in particular to a Cd (II)-based metal organic framework crystalline material as well as a preparation method and application thereof. The chemical formula of the Cd (II)-based metal organic framework crystalline material is {[Cd3 (H2O) 2 (DMA) 2 (5-CMOIA) 2]. 6 / 5H2O} n, the organic framework material is characterized by an X-ray single crystal diffractometer, and the result shows that the organic framework material is crystallized in a triclinic system P-1 space group, the asymmetric unit of the organic framework material is composed of three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions, three Cd (II) ions and three The complex is composed of two deprotonated (5-CMOIA) 3-ligands, two coordinated DMA solvent molecules, two coordinated water molecules and six fifths of crystal water molecules. The solid fluorescence spectrum of the Cd (II)-based metal organic framework crystalline material is measured, the fluorescence response of the Cd (II)-based metal organic framework crystalline material to metal ions in a solution is explored, and the result shows that the Cd (II)-based metal organic framework crystalline material can effectively recognize Hg < 2 + > from different ions and can be applied to the field of fluorescence sensing.

The present invention belongs to the technical field of glass preparation, and specifically relates to an ultra-white glass and a preparation method thereof. The ultra-white glass of the present invention is composed of the following raw materials by weight: 110 parts of quartz sand, 18-20 parts of sodium carbonate, 14-16 parts of colemanite, 4.5-5.5 parts of magnesia, 2.6-2.8 parts of calcined alumina, 1.1-1.3 parts of potassium oxide, 0.8-1.0 parts of zinc oxide, 1.5-1.7 parts of phosphorus pentoxide, 0.15-0.20 parts of strontium chloride, 0.3-0.34 parts of calcium fluoride, 0.25-0.27 parts of barium nitrate, and 0.16-0.18 parts of zirconium oxide. The ultra-white glass of the present invention has a synergistic effect between the raw materials to ensure that the prepared ultra-white glass has excellent whiteness and visible light transmittance.

The invention provides an ore pulp liquid level prediction method and system based on flotation froth dynamic characteristics and a storage medium, and relates to the technical field of flotation process production detection.The method comprises the steps that under the working condition of a flotation machine, flotation froth images and ore pulp liquid levels are continuously collected; performing texture feature extraction on each flotation froth image to obtain texture features, and generating a texture distribution coefficient from the texture features associated with the ore pulp liquid level; using a Sobel operator to identify the marginal area of each flotation froth in the flotation froth image, and carrying out comprehensive analysis to generate a froth distribution index; analyzing two frames of adjacent flotation froth images to generate a flotation froth dynamic deviation degree; and constructing an ore pulp liquid level prediction model, and predicting the ore pulp liquid level by using the ore pulp liquid level prediction model. The technical problem that the ore pulp liquid level cannot be monitored in real time in the prior art is solved.

A multispectral combined method for online detection of slurry components in a mineral processing process, relating to the technical field of spectrum detection. The multispectral combined method comprises: collecting slurry samples having a gradient distribution of moisture content to serve as test samples, and using an NIR system to acquire near-infrared spectrum data of the test samples; performing spectral preprocessing on the near-infrared spectrum data, so as to reduce the interference of spectral noise on subsequent modeling, and establishing an NIR regression model for slurry moisture content; using an LIBS system to acquire plasma spectrum data of the test samples, and establishing an LIBS regression model for slurry concentration; substituting the NIR regression model for slurry moisture content into the LIBS regression model for slurry concentration, and optimizing an algorithm to realize model correction and compensation; and establishing a quantitative analysis model for slurry element content to realize LIBS and NIR multispectral combination. The multispectral combined method can effectively improve the online detection precision of slurry components in a mineral processing process and improve the accuracy of a regression model.

The invention discloses a filling disaster prevention and control green mining method for a nearly-upright extra-thick coal seam, and relates to the technical field of coal mining. The method includes the following steps that the nearly-vertical super-thick coal seam is divided into different sections according to the thickness of 20-40 m; all the sections are mined through a fully mechanized caving mining method, after the coal face is advanced by 8-10 m, namely a mining and filling step pitch, slurry blocking cloth is arranged on a top coal caving filling mining hydraulic support, and a separation net is laid in a goaf; grouting and filling are conducted on the goaf through the high-position process roadway; the nearly vertical coal seam is divided into a plurality of horizontal sections, the descending mining sequence is adopted, goaf timely filling is matched, rock stratum movement can be precisely and cooperatively controlled, steeply inclined rock stratum displacement and deformation caused by coal seam mining are effectively reduced, surrounding rock stress is remarkably weakened, earth surface deformation is controlled, and compared with a traditional mining mode, the mining efficiency is improved. And the risk of coal rock dynamic disasters is greatly reduced.

The invention relates to the technical field of concrete preparation, in particular to high-performance self-compacting concrete and a preparation method thereof, solves the defects in the prior art, and comprises the following components: cement, fly ash, slag powder, graphene oxide, nano-silica aerogel, a water reducer and an air entraining agent. Through silanization modification and magnetic field induction, the problem of interface incompatibility of GO and SA is solved. Graded mass transfer paths are formed between nano layers of GO and mesopores and macropores of SA. And the CaCO3 seed crystal in the SA hole directionally guides the oriented growth of the C-S-H gel, so that the early strength development rate is increased.

The invention relates to the technical field of filling materials, and particularly discloses an ardealite-based high-strength anti-seepage filling material and a preparation process thereof, the ardealite-based high-strength anti-seepage filling material comprises 50%-65% of pretreated ardealite, 15%-25% of Portland cement, 5%-15% of superfine slag powder, 5%-10% of electrolytic manganese residues, 5%-8% of silica fume, 3%-6% of metakaolin, 2%-4% of a composite alkali activator and 0.5%-1.2% of a polycarboxylic acid water reducer, 0.3%-0.8% of an organic silicon water repellent and 0.05%-0.1% of cellulose ether; according to the invention, through chemical reaction of Mn < 2 + > in the electrolytic manganese residue and SO4 < 2-> in the phosphogypsum, micron-sized manganite crystals (MnAl2 (SO4) 4. 22H2O) are generated to actively fill internal micro-cracks of the material, so that a filling body is endowed with a self-repairing function and the impermeability is improved, and a composite alkali activator composed of NaOH and water glass is used for synergistically activating potential gelling activity of the superfine slag powder and the silica fume, so that the self-repairing filling material is prepared. And the formation of hydration products is accelerated, and 0.3-0.5 T of pulsed magnetic field is applied in the stirring process, so that the manganite crystals are guided to orderly grow along the expected stress direction of the filling body, and the compressive strength is improved.

The invention relates to the technical field of cement-based soil curing agents, and particularly discloses a roadbed soil cement cementing material curing agent and a use method thereof. The curing agent comprises Portland cement, coal gangue particles, fly ash, silica fume, an anti-permeability reinforcing agent, a water reducing agent and fibers. The anti-permeability reinforcing agent is prepared by the following steps: (1) dispersing polyaluminum sulfate powder into absolute ethyl alcohol, then adding a silane coupling agent and a water repellent agent, and heating and preserving heat under a stirring condition; and then separating out solids to obtain the modified polyaluminum sulfate. And (2) adding the modified polyaluminum sulfate into water, heating and preserving heat under a stirring condition, drying by distillation to remove water, and grinding the obtained solid product. The curing agent provided by the invention not only reduces the adverse effect of acid soil on the stability of a formed soil consolidated body, but also improves the impermeability and the durability of the soil consolidated body.

The invention discloses a rapid method for determining the grade of target elements in concentrate based on mineral dissociation degree, and the grade of the target elements in the concentrate under a certain fineness condition is calculated according to the dissociation degree of target minerals in a raw ore sample under the certain fineness condition and the content of the target elements in the target minerals in the raw ore sample. By means of the method, the grade of the target element in the concentrate under the specified fineness condition can be calculated more quickly and more effectively, the beneficiation effect under the fineness condition can be predicted in advance when beneficiation operation is not conducted, and powerful data support is provided for formulation of the beneficiation technological process.

The invention belongs to the technical field of roadbed engineering, and particularly relates to a construction uniformity evaluation method for a clay improved copper tailing roadbed. The method comprises the following specific steps: S1, determining the proportion of the clay improved copper tailing roadbed filler; s2, applying the blended clay improved copper tailings to roadbed construction; and S3, carrying out construction detection on the clay-improved copper tailing roadbed, calculating a mixing uniformity coefficient, and comparing the mixing uniformity coefficient with a uniformity coefficient in a laboratory to evaluate the construction uniformity of the clay-improved copper tailing roadbed. According to the method, after roadbed construction is completed, a working project of measuring the compactness through a field sand filling method is combined, the mixing uniformity coefficient is calculated with the deviation between the composition proportion of roadbed filler sampled through the sand filling method and a proportion design result as a parameter, and the construction quality can be effectively evaluated conveniently.

The present invention belongs to the field of resource utilization of building materials and solid waste, and relates to a red-mud-based cementing material based on efficient drying, component homogenization and activity improvement, and a preparation method therefor. The preparation method comprises: adding a filter aid to red mud to carry out sedimentation, then subjecting same to filter pressing until the water content is 14-16%, then drying the solid material, which has been subjected to filter pressing, until the water content is 4% or below, and finally grinding same to obtain the product. The filter aid comprises the following raw materials: 10-30 parts of polyaluminum chloride, 5-15 parts of polyaluminum sulfate, 1000-1200 parts of blast furnace slag or fly ash, 700-900 parts of steel slag, 400-600 parts of carbide slag or alkaline residues, and 300-400 parts of desulfurized gypsum or phosphogypsum or fluorgypsum. By means of the present invention, the dehydration efficiency of red mud can be improved, the red-mud-based cementing material can also be prepared in one step; the preparation process for the red-mud-based cementing material is simplified; and the prepared red-mud-based cementing material has the advantages of a high mechanical strength, high durability and erosion resistance.

The invention belongs to the technical field of cement manufacturing, and particularly relates to high-strength weather-resistant environment-friendly cement and a preparation method thereof. The environment-friendly cement is prepared from the following raw materials in parts by mass: 40 to 55 parts of Portland cement, 15 to 25 parts of fly ash, 10 to 15 parts of slag powder, 6 to 12 parts of biomass reinforced composite mineral material, 2 to 4 parts of nano silicon dioxide, 1 to 4 parts of modified polymer emulsion and 1 to 3 parts of additive. The biomass reinforced composite mineral material is prepared from zeolite, bentonite, sepiolite and chitosan; the modified polymer emulsion comprises a modified polyacrylate emulsion and a modified polystyrene-butadiene emulsion in a mass ratio of (1-3): 1; the additive is prepared from basalt fiber, sodium lignin sulfonate, a rosin thermopolymer and sodium gluconate. The environment-friendly cement prepared by the invention not only has high strength and good weather resistance, but also remarkably reduces carbon footprint and saves natural resources.

The present invention provides a method and system for detecting coal dust concentration and position information of a port coal yard, and relates to the technical field of coal dust concentration and position prediction, including: obtaining visible light images and infrared images of coal dust in a port coal yard; using APAP transformation on visible light images and infrared images to obtain spliced ​​and fused images; using network pruning and weight quantization to optimize the original YOLOv5‑tiny model to obtain a lightweight YOLOv5‑tiny model, and respectively performing bounding box coal dust target judgment and category recognition; determining the concentration weights corresponding to different coal dust data types based on particle size, particle size distribution function and humidity factors through experiments; determining the total area of ​​detection boxes of different coal dust data types according to the prediction results of coal dust bounding boxes in images, and performing weighted averaging based on the concentration weights of different coal dust data types and the total area of ​​detection boxes to obtain coal dust concentration detection results. This method can effectively improve the concentration detection accuracy of coal dust.

The invention belongs to the technical field of data processing, and particularly relates to a rutile type titanium ore prospecting model construction method. Comprising the following steps: collecting remote sensing time sequence, real-time geophysical prospecting and geochemical data, carrying out geological causal feature analysis after standardization so as to construct a metallogenic causal graph, and meanwhile, collecting anti-fact features to generate virtual mineralization feature vectors; a prospecting model comprising an input layer, a weight optimization layer (comprising a causal attention module and a particle swarm anti-fact comparison module) and a mineralization probability output layer is constructed, and a high-frequency data acquisition mechanism is triggered with assistance of a metallogenic event threshold. According to the method, the data reliability and the model generalization ability are improved, the mineralization probability calculation precision and the potential mineralization target region judgment accuracy are remarkably improved, and a scientific support is provided for efficient prospecting of rutile type titanium ore.

The invention discloses a fluoride salt-free nitrate-free cast iron enamel semitransparent glaze as well as a preparation method and application thereof, and belongs to the technical field of enamel. The semitransparent glaze is prepared from quartz, anhydrous borax, sodium carbonate, potassium carbonate, calcium carbonate, potassium feldspar, zinc oxide, lithium carbonate, zirconium silicate, titanium dioxide, aluminum oxide, trisodium phosphate, antimony oxide, magnesium carbonate and barium carbonate according to a specific mass ratio. The preparation method comprises the steps of raw material mixing, high-temperature melting under a pure oxygen condition, wiredrawing detection, quenching and the like. The semitransparent glaze is completely free of fluoride salt and nitrate, the problems of fluoride emission and environmental protection equipment blockage are avoided from the source, the fluorine content of the product is not detected through detection, the product meets the requirements of European Union REACH regulations, meanwhile, the product has good porcelain surface, luster and low-temperature firing adaptability, and is suitable for cast iron matrixes, the firing temperature is 740-760 DEG C, and the firing time is 2-3 hours. The method can be used for producing green and environment-friendly enamel products.

The invention provides a mineral leaching property analysis method, which belongs to the field of process mineralogy, and comprises the following steps: crushing and enriching a sample to be detected, and selecting single mineral particles to obtain target mineral particles; the preparation method comprises the following steps: coating a sample preparation grinding tool with epoxy resin glue, adding target mineral particles, and carrying out curing and grinding treatment to obtain a primary sample; cutting the primary sample, placing the grinding surface downwards and the three wear-resistant alloys at the bottom of a sample preparation grinding tool, injecting epoxy resin glue, curing to form a composite sample, accurately grinding, polishing, performing carbon spraying treatment, performing first automatic mineralogical analysis, measuring the area of a target mineral, cleaning, and performing leaching treatment to obtain a treated sample; and after solidification, accurate grinding and polishing and carbon spraying treatment, secondary automatic mineralogical analysis is carried out, the area of the residual target mineral is measured, and the leaching index of the target mineral is calculated. Reliable technical support is provided for mineral processing technology optimization and resource evaluation, and the method is particularly suitable for development of efficient leaching technologies of precious metal, rare earth and the like.

The invention provides porous foam with a bionic lotus seedpod surface structure and a preparation method of the porous foam, belongs to the technical field of photothermal conversion materials, and aims to solve the technical problem that a solar evaporator is poor in water evaporation performance and salt resistance. According to the invention, a vacuum solution pouring technology / salt template method / template auxiliary technology is combined to prepare the composite foam, and the composite foam has a surface hemispherical pore structure and a lower layer honeycomb hierarchical pore structure at the same time, which is benefited from unique surface and internal pore structures; the solar evaporator shows efficient and stable evaporation performance, high salt resistance, good self-cleaning capacity and the like in NaCl solutions with different concentrations, and the double-layer hierarchical pore composite foam has wide application prospects in sewage treatment and seawater desalination. The preparation method has the advantages of being simple in process, convenient to operate, controllable in surface pore structure and internal pore shape, capable of forming evaporators in complex shapes and the like.

To provide a concrete composition with a portion of aggregate thereof replaced with carbonate light aggregate, excellent in fresh characteristics and in post-curing strength and freeze damage resistance.SOLUTION: An aspect of the present invention relates to a concrete composition including (a) cement, (b) coarse aggregate, (c) fine aggregate, (d) granulated carbonate light aggregate of alkali earth metal, (e) and water, where the carbonate light aggregate has a cumulative pore volume of 0.06 mL / g or more, each pore having a pore size of 100 nm or less.SELECTED DRAWING: None

The invention discloses a metal resource assessment method and system based on geological exploration, relates to the technical field of mineral data processing, and effectively solves key problems in geological resource assessment through multi-module collaboration. A data fusion module integrates drilling data Zk, geophysical data Dw and remote sensing data Yg; the confidence Rx is calculated by using an adaptive weighting algorithm and probability filling is carried out, so that the data sparsity error is remarkably reduced; the boundary optimization module is used for calculating a mineralization continuity index Lx and generating a boundary optimization coefficient Ly in combination with the temperature dynamic factor Tx so as to realize intelligent correction of the boundary of the ore body; the depth correction module constructs a depth compensation model through the signal intensity M, the stability V and the noise level N, the deep data credibility Sx is improved, Monte Carlo simulation and dynamic parameter adjustment are matched, the system overcomes the defects of a traditional method in the aspects of data uncertainty, boundary ambiguity and deep precision, and the method has the advantages of being high in accuracy and high in reliability. And full-process automation and high-precision resource evaluation and early warning are realized.

The invention provides a copper mine prediction method based on multi-source data, and the method comprises the steps: S11, taking a copper mine geological report as a data source, and enabling the copper mine geological report to comprise a geological map, geophysical data, a geochemical sample analysis result and a remote sensing image; s12, respectively carrying out vectorization processing on the data obtained in the step S11; s13, inputting the information processed in the step S12 into a machine learning model for feature extraction, and filling the extracted features into a copper ore distribution diagram; s14, constructing a multi-modal copper mine prediction model, inputting the copper mine distribution diagram into the multi-modal copper mine prediction model for training, and obtaining a trained multi-modal copper mine prediction model; and S15, inputting the newly obtained copper ore geological report into the multi-mode copper ore prediction model to obtain a copper ore distribution prediction map of the target area. According to the method, the relevance and similarity of the multi-source data in the copper mine geological report are extracted, the multi-mode copper mine prediction model is established to predict the potential position of the copper mine, and the success rate and efficiency of prospecting are improved.

The invention belongs to the technical field of quartz sand preparation, and provides a flotation synergistic process for high-purity quartz sand preparation, which comprises the following steps: crushing raw ore to obtain ore pulp, detecting the dispersity of the ore pulp after the concentration is adjusted, acquiring ore pulp state parameter data in real time in the detection process, and performing fluctuation analysis to obtain a flotation result; extracting ore pulp state parameters with fluctuation as pre-analysis risk parameters; and in combination with a historical detection database, identifying whether the pre-analysis risk parameter is associated with the occurrence of pseudo uniformity. A parameter association network is constructed based on Granger causality test, an adjustment sequence is determined by integrating an influence quantity coefficient and an intensity coefficient, influence paths and intensity among parameters are defined, adjustment blindness is reduced, quantitative sorting of optimization strategies is realized, parameters having significant influence on the system are preferentially processed, adjustment efficiency and pertinence are improved, and the method is suitable for large-scale popularization and application. The stability and the control precision of the detection system are guaranteed, the false uniformity risk is effectively reduced, and the accuracy of ore pulp dispersion uniformity detection is ensured.

The invention provides a modified coal gangue-based large-flow-state grouting and water plugging material and a preparation method thereof. Comprising 80-90 parts of a coal gangue sample, 1-5 parts of Portland cement, 1-5 parts of sulphoaluminate cement, 0.51-3 parts of a polycarboxylic acid water reducing agent, 1-4 parts of cellulose ether with the viscosity of 200w, 0.1-5 parts of a calcium oxide expanding agent, 0.5-5 parts of a plastic expanding agent, 0.5-1 part of redispersible latex powder, 0.5-5 parts of polyacrylamide with the molecular weight of 1000 and water, and the water-material ratio is 0.4. According to the modified coal gangue-based large-flow-state grouting and water plugging material and the preparation method thereof, the cement consumption can be remarkably reduced, the cost is reduced, the utilization rate of solid wastes (such as coal gangue) is increased, and the material has good flow-state performance and adjustable setting time; the method is suitable for deep and large shaft surrounding rock water seepage treatment in coal mining and other mine engineering.

The invention belongs to the technical field of nondestructive testing, and discloses a gold ore and iron ore metal content detection method. The method comprises the following steps: acquiring an XRF energy spectrum by using an X-ray tube, acquiring an LIBS spectrum by using double-pulse Nd: YAG laser, and acquiring a Raman spectrum by using a semiconductor laser; performing baseline correction on the LIBS spectrum, performing Savitzky-Golay smoothing pretreatment on the Raman spectrum, and respectively extracting three types of spectrum characteristics; constructing a physical constraint network model, inputting XRF, LIBS and Raman features, and then outputting the correction content, fusion weight and LIBS dominant factors of Fe / Au elements; and finally, through a dynamic weight fusion strategy, combining XRF, LIBS fusion weights and network output parameters, calculating to obtain the content of the gold ore and the content of the iron ore. The technical breakthrough of multi-element cooperative detection and complex matrix interference suppression is realized, and the detection precision of Fe and Au is effectively improved.

The invention provides a method for detecting the porosity of ores in a dump leaching process, and belongs to the technical field of detection of the porosity of the ores. The method comprises the following steps: taking a dump leaching ore body, screening, uniformly mixing, splitting, putting into a dump leaching column to obtain the volume of a sample subjected to splitting in the dump leaching column, then performing fine grinding, putting into the dump leaching column to obtain the volume of the sample subjected to fine grinding in the dump leaching column, and then performing image analysis on the sample subjected to fine grinding to obtain the pore volume among sample particles subjected to fine grinding. And finally, converting the three volumes to obtain the porosity of the heap-leached ore. Through screening treatment, the sample representativeness is effectively improved; the ore before superfine grinding and after superfine grinding is introduced into a dump leaching column, the sampling uniformity is controlled, and the accuracy and stability of data are improved through the in-pile process under the same test column; an image analysis algorithm is introduced, and meanwhile, a correction coefficient is introduced, so that small pores among particles are precisely measured and calculated. The method is simple in process and convenient to operate, and the ore porosity can be rapidly and accurately measured and calculated.