Multi-parameter fusion ore comprehensive screening method and device

Abstract

The invention discloses a multi-parameter fusion ore comprehensive screening method and device, and relates to the technical field of ore screening. The method comprises the following steps: acquiring a color image of a target ore, inputting the color image into an ore screening model, and judging the ore type of the target ore; selecting a detection scheme of the component content of the target ore according to the ore type of the target ore, and modeling the target ore through X rays according to the detection scheme to obtain a component content model; component analysis is conducted on the component content model to obtain the component content of the target ore, and the ore screening mode is determined according to the component content of the target ore. The ore screening cost can be effectively reduced by judging the ore types, the ore detection accuracy can be improved by analyzing the components in the ore through multi-angle X-rays, different screening modes are determined according to different analysis results, screening errors can be reduced while the efficiency is ensured, and the screening accuracy is improved. Therefore, the cost of the subsequent treatment process is correspondingly reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of ore screening, and in particular relates to a multi-parameter integrated ore screening method and device. Background Art

[0002] As a precious resource given by the earth, ore occupies a core position in human production and life. It is not only the basic material for smelting steel, copper, aluminum and other metals, but also supports the construction of infrastructure such as construction, transportation, and machinery manufacturing; it is also widely used as a chemical raw material in fertilizer manufacturing, glass production, plastic synthesis and other fields. With the advancement of science and technology, rare elements and compounds in ores have become key materials for high-tech industries such as new energy, electronic information, and aerospace. The mining, screening and deep processing of ores have not only promoted the progress of human civilization, but also promoted the sustainable development of the economy and society.

[0003] Modern ore sorting mainly relies on a highly automated and intelligent technology system. After locating the mineral deposits through advanced exploration technology, large-scale mechanical equipment is used for mining, and then the ore is sent to a complex sorting process. This process combines a variety of physical, chemical and even biological methods, such as gravity sorting, flotation, magnetic separation, and electrostatic separation, and uses the differences in the physical and chemical properties of different components in the ore for efficient separation. Combined with high-precision sensors, automated control systems, and big data analysis technology, accurate identification of ore components and intelligent regulation of the sorting process are achieved, ensuring a dual improvement in sorting efficiency and product quality.

[0004] However, in the prior art, the ore needs to be judged and analyzed for its material content through X-rays before screening. A single X-ray does not accurately sample the interior of the ore, so the judgment error of the material in the ore will increase, resulting in reduced efficiency and increased cost of ore screening. Summary of the invention

[0005] The purpose of the present invention is to solve the problem that the material content of ore needs to be judged and analyzed by X-rays before screening. The sampling of the inside of the ore by a single X-ray is inaccurate, so the judgment error of the material in the ore will increase, resulting in reduced efficiency and increased cost of ore screening. A multi-parameter fusion comprehensive ore screening method and device are proposed.

[0006] In the first aspect of the present invention, a multi-parameter fusion comprehensive ore screening method is first proposed, the method comprising:

[0007] Acquire a color image of the target ore, input the color image into an ore screening model, and determine the ore type of the target ore; the ore types include: miscellaneous stones, target processed ore, non-target processed ore, and mixed ore;

[0008] Selecting a detection scheme for the component content of the target ore according to the type of the target ore, and modeling the target ore by X-ray according to the detection scheme to obtain a component content model;

[0009] A component analysis is performed on the component content model to obtain the component content of the target ore, and an ore screening method is determined according to the component content of the target ore.

[0010] Optionally, a detection scheme for the content of the target ore component is selected according to the type of the target ore, and the method includes:

[0011] Determine a detection scheme for the content of the target ore component according to the ore type of the target ore;

[0012] If the target ore is a miscellaneous stone, the first detection scheme for determining the content of the target ore component is to eliminate it;

[0013] If the target ore is a target processed ore or a non-target processed ore, the second detection scheme for determining the component content of the target ore is to take an X-ray image of the target ore at a single angle and perform component detection;

[0014] If the target ore is a mixed ore, a third detection scheme for determining the content of the target ore components is to take X-ray images of the target ore at multiple angles to obtain an X-ray image set, and to model the target ore according to the X-ray image set to obtain the content distribution model.

[0015] Optionally, when the detection scheme for the target ore component content is single X-ray component detection, the method includes:

[0016] Performing X-ray component detection on the target ore at a single angle to obtain an analysis result of the target ore; the analysis result is a target component content or a non-target component content of the target ore;

[0017] If the target component content in the target ore is greater than or equal to the first component threshold, the target ore is determined to be a target processed ore, and the target processed ore is screened into a first classification area;

[0018] If the non-target component content in the target ore is greater than or equal to the first component threshold, the target ore is determined to be a non-target processed ore, and the non-target processed ore is screened into a second classification area;

[0019] If the first component threshold in the target ore is greater than the target component and the non-target component and greater than the second component threshold, the target ore is determined to be a mixed ore, the mixed ore is screened into a third classification area, and a third detection scheme is executed.

[0020] Optionally, the analysis is performed according to the content distribution model, and the method includes:

[0021] Obtaining a content distribution model of each ore after executing the third detection scheme;

[0022] Calculating the content ratio of the target component and the non-target component in the target ore according to the content distribution model;

[0023] According to the content ratio, the fourth classification area of ​​each ore is determined.

[0024] Optionally, the content ratio of the target component and the non-target component in the target ore is calculated according to the content distribution model, and the method includes:

[0025] An X-ray transmitter emits X-rays to penetrate the target ore, and an X-ray receiver receives fluorescent X-rays from the target ore;

[0026] Converting the fluorescent X-rays into electrical signals, forming a spectrum according to the electrical signals, and comparing the fluorescent X-ray energy on the spectrum with the characteristic X-ray energy of known elements;

[0027] If the energy peak of the fluorescent X-ray in the spectrum matches the characteristic X-ray energy of a known element, the composition of the target ore is determined;

[0028] Determining the component content of the target ore according to the fluorescent X-ray intensity formula;

[0029] Fluorescence X-ray intensity formula:

[0030]

[0031] Among them, C is the component content, I1, I2, ..., I n are the fluorescent X-ray intensities of the target ore received by each X-ray receiver, α, β, …, γ are weight coefficients, α, β, …, γ are all non-zero, α is the weight coefficient of I1, β is the weight coefficient of I2, γ is the weight coefficient of I n The weight coefficient is determined by the shooting angle.

[0032] In the second aspect of the present invention, a multi-parameter integrated ore screening device is proposed, including: a type judgment module, a component detection module and a component analysis module:

[0033] The type judgment module is used to obtain a color image of the target ore, input the color image into the ore screening model, and judge the ore type of the target ore; the ore types include: miscellaneous stones, target processed ore, non-target processed ore and mixed ore;

[0034] The component detection module is used to select a detection scheme for the component content of the target ore according to the ore type of the target ore, and to model the target ore through X-rays according to the detection scheme to obtain a component content model;

[0035] The component analysis module is used to perform component analysis on the component content model to obtain the component content of the target ore, and determine the ore screening method according to the component content of the target ore.

[0036] Optionally, the component detection module includes: a detection scheme determination module, a first detection scheme module, a second detection scheme module and a third detection scheme module:

[0037] The detection scheme determination module is used to determine the detection scheme of the target ore component content according to the ore type of the target ore;

[0038] The first detection scheme module is used to determine that the first detection scheme for the content of the target ore component is to eliminate the target ore if the target ore is a miscellaneous stone;

[0039] The second detection scheme module is used for, if the target ore is a target processed ore or a non-target processed ore, determining the second detection scheme of the target ore component content by taking an X-ray image of the target ore at a single angle and performing component detection;

[0040] The third detection scheme module is used to determine the third detection scheme of the target ore component content if the target ore is a mixed ore, which is to take X-ray images of the target ore at multiple angles to obtain an X-ray image set, and model the target ore according to the X-ray image set to obtain the content distribution model.

[0041] Optionally, the second detection scheme module includes: a component judgment module

[0042] The component judgment module is used to perform X-ray component detection on the target ore at a single angle to obtain an analysis result of the target ore; the analysis result is the target component content or non-target component content of the target ore;

[0043] The first screening module is used to determine the target ore as a target processed ore if the target component content in the target ore is greater than or equal to a first component threshold, and screen the target processed ore into a first classification area;

[0044] The second screening module is used to determine the target ore as a non-target processed ore if the non-target component content in the target ore is greater than or equal to the first component threshold, and screen the non-target processed ore into a second classification area;

[0045] The third screening module is used to determine the target ore as mixed ore if the first component threshold in the target ore is greater than the target component and the non-target component is greater than the second component threshold, screen the mixed ore into a third classification area, and execute a third detection scheme.

[0046] Optionally, the third screening module includes: a model acquisition module, a content calculation module and a fourth screening module:

[0047] The model acquisition module is used to acquire the content distribution model of each ore after executing the third detection scheme;

[0048] The content calculation module is used to calculate the content ratio of the target component and the non-target component in the target ore according to the content distribution model;

[0049] The fourth screening module is used to determine the fourth classification area of ​​each ore according to the content proportion.

[0050] Optionally, the content calculation module includes: a data acquisition module, a component matching module, a component determination module and a content determination module:

[0051] The data acquisition module is used to transmit X-rays through the target ore through the X-ray transmitter, and the X-ray receiver receives the fluorescent X-rays of the target ore;

[0052] The component matching module is used to convert the fluorescent X-ray into an electrical signal, form a spectrum according to the electrical signal, and compare the fluorescent X-ray energy on the spectrum with the characteristic X-ray energy of a known element;

[0053] The composition determination module is used to determine the composition of the target ore if the energy peak of the fluorescent X-ray in the spectrum graph matches the characteristic X-ray energy of a known element;

[0054] The content determination module is used to determine the component content of the target ore according to the fluorescent X-ray intensity formula;

[0055] Fluorescence X-ray intensity formula:

[0056]

[0057] Among them, C is the component content, I1, I2, ..., I n are the fluorescent X-ray intensities of the target ore received by each X-ray receiver, α, β, …, γ are weight coefficients, α, β, …, γ are all non-zero, α is the weight coefficient of I1, β is the weight coefficient of I2, γ is the weight coefficient of I n The weight coefficient is determined by the shooting angle.

[0058] Beneficial effects of the present invention:

[0059] The present invention proposes a multi-parameter fusion comprehensive ore screening method, which obtains a color image of the target ore, inputs the color image into the ore screening model, and determines the ore type of the target ore; selects a detection scheme for the target ore component content according to the ore type of the target ore, and models the target ore through X-rays according to the detection scheme to obtain a component content model; performs component analysis on the component content model to obtain the component content of the target ore, and determines the ore screening method according to the component content of the target ore. The cost of ore screening can be effectively reduced by judging the ore type, and the accuracy of ore detection can be increased by using multi-angle X-ray analysis of the internal components of the ore. Different screening methods are determined according to different analysis results, which can reduce the screening error while ensuring efficiency, thereby correspondingly reducing the cost of subsequent processing procedures. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] Figure 1 A flowchart of a multi-parameter fusion comprehensive ore screening method is provided for an embodiment of the present invention;

[0062] Figure 2 A structural schematic diagram of a multi-parameter fusion comprehensive ore screening device is provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the present invention, the description of "first", "second", etc. is only used for descriptive purposes, and cannot be understood as indicating or implying its relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0064] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0065] The embodiment of the present invention provides a comprehensive ore screening method with multi-parameter fusion. Figure 1 , Figure 1 A flowchart of a multi-parameter fusion comprehensive ore screening method provided by an embodiment of the present invention. The method comprises the following steps:

[0066] S101, obtaining a color image of a target ore, inputting the color image into an ore screening model, and determining the ore type of the target ore;

[0067] S102, selecting a detection scheme for the target ore component content according to the ore type of the target ore, and modeling the target ore by X-ray according to the detection scheme to obtain a component content model;

[0068] S103, performing component analysis on the component content model to obtain the component content of the target ore, and determining the ore screening method according to the component content of the target ore.

[0069] Ore types include: miscellaneous rocks, target processing ore, non-target processing ore and mixed ore;

[0070] A multi-parameter fusion comprehensive ore screening method provided in an embodiment of the present invention can effectively reduce the cost of ore screening by judging the type of ore, and then use multi-angle X-ray analysis of the internal components of the ore to increase the accuracy of ore detection. Different screening methods are determined according to different analysis results, which can reduce screening errors while ensuring efficiency, thereby correspondingly reducing the cost of subsequent processing procedures.

[0071] In one implementation, the ore screening model is a model based on a convolutional neural network model, and historical ore images and historical ore types are used as inputs of the model to train the ore screening model; the ore type can be determined by inputting the color image into the ore screening model.

[0072] In one implementation, the meanings of miscellaneous rocks, target processing ore, non-target processing ore and mixed ore are respectively: miscellaneous rocks are stones with no utilization value and need to be eliminated, and their existence will lead to a decrease in production efficiency; target processing ore is high-value stone and the content inside the ore is very high, which needs to be processed to obtain products, such as iron ore; non-target processing ore is valuable stone and the content inside the ore is very high, and products can also be obtained through processing, such as associated ores of iron ore; mixed ore is an ore type in which the various components in the ore are mixed, resulting in a corresponding increase in the cost of processing and production, such as an ore mixed with iron ore and its associated ores.

[0073] In one implementation, the main components of the target ore have been determined by the staff before mining, for example, the mine is iron ore and its associated minerals; therefore, the subsequent component determination process of the target ore can reduce the judgment range accordingly.

[0074] In one implementation, the ore is screened by spraying the ore to a designated area through a high-pressure nozzle, that is, the area of ​​the ore is determined by controlling the pressure of the nozzle; wherein, after pre-processing such as crushing, the ore is of uniform size and no ore is too large.

[0075] In one embodiment, a detection scheme for the content of a target ore component is selected according to the type of the target ore, and the method includes:

[0076] Determine the detection scheme of the target ore component content according to the ore type of the target ore;

[0077] If the target ore is a miscellaneous rock, the first detection scheme for determining the content of the target ore component is to eliminate it;

[0078] If the target ore is a target processed ore or a non-target processed ore, the second detection scheme for determining the target ore component content is to take an X-ray image of the target ore at a single angle and perform component detection;

[0079] If the target ore is a mixed ore, a third detection scheme for determining the content of the target ore components is to take X-ray images of the target ore at multiple angles to obtain an X-ray image set, and to model the target ore according to the X-ray image set to obtain a content distribution model.

[0080] In one implementation, the detection scheme for the target ore component content can be determined according to the type of ore. Due to geological formation reasons, the ore composition of the ore in the mine is often very simple, that is, the main component of the ore can be determined by judging the appearance, which can greatly reduce the pressure of system analysis of ore and improve accuracy.

[0081] In one implementation, when the target ore is a target processed ore or a non-target processed ore, it is only necessary to determine the composition by taking an X-ray image of the target ore at a single angle, which can reduce unnecessary processes, reduce costs and increase accuracy. When the ore is a mixed ore, it is necessary to shoot at multiple angles to increase the accuracy of ore composition analysis.

[0082] In one embodiment, when the detection scheme for the target ore component content is single X-ray component detection, the method includes:

[0083] By performing X-ray component detection on the target ore at a single angle, the analysis result of the target ore is obtained; the analysis result is the target component content or non-target component content of the target ore;

[0084] If the target component content in the target ore is ≥ the first component threshold, the target ore is determined as the target processed ore, and the target processed ore is screened into the first classification area;

[0085] If the non-target component content in the target ore is ≥ the first component threshold, the target ore is determined as a non-target processed ore, and the non-target processed ore is screened into the second classification area;

[0086] If the first component threshold in the target ore is greater than the target component and the non-target component and greater than the second component threshold, the target ore is determined to be a mixed ore, the mixed ore is screened into the third classification area, and the third detection scheme is executed.

[0087] In one implementation, the first classification area, the second classification area and the third classification area are three different areas, which are sprayed to different areas by the pressure of the high-pressure nozzle; wherein, the first classification area and the second classification area are respectively high-content areas of ore components, which can effectively reduce the cost for subsequent processing; the third classification area is an area that requires a secondary search, because the content of components inside the ore is mixed, which will cause the quality of the product after ore processing to decline, resulting in increased costs.

[0088] In one implementation, in addition to testing the color and texture of the surface of the ore for initial identification, this intuitive judgment increases efficiency, but has the possibility of unexpected events, and the actual internal conditions cannot be known. Therefore, a third detection scheme is needed to determine the specific component content to enhance accuracy.

[0089] In one embodiment, the analysis is performed according to the content distribution model, and the method includes:

[0090] Obtaining a content distribution model of each ore after executing the third detection scheme;

[0091] The content ratio of target components and non-target components in the target ore is calculated according to the content distribution model;

[0092] The fourth classification area of ​​each ore is determined according to the content ratio.

[0093] In one implementation, the content distribution model of each ore after executing the third detection scheme is used to calculate the content ratio of each component; wherein the content distribution model is a three-dimensional model, which displays the content of each component, and the content ratio can be calculated based on the volume of the content.

[0094] In one implementation, the fourth classification area of ​​each ore is determined according to the content ratio, and the fourth classification area includes multiple areas, that is, multiple areas are subdivided according to the content ratio. The materials and treatment plans for subsequent processing can be determined according to the content ratio of each area, which can effectively reduce costs while improving processing efficiency. For example: the content ratio of (target component 15%, non-target component 20%) is one area, and (target component 45%, non-target component 30%) is one area.

[0095] In one embodiment, the content ratio of the target component and the non-target component in the target ore is calculated according to the content distribution model, and the method includes:

[0096] The X-ray transmitter emits X-rays to penetrate the target ore, and the X-ray receiver receives the fluorescent X-rays of the target ore;

[0097] Convert fluorescent X-rays into electrical signals, form a spectrum based on the electrical signals, and compare the fluorescent X-ray energy on the spectrum with the characteristic X-ray energy of known elements;

[0098] If the energy peak of the fluorescent X-ray in the spectrum matches the characteristic X-ray energy of a known element, the composition of the target ore is determined;

[0099] Determine the component content of the target ore according to the fluorescent X-ray intensity formula;

[0100] Fluorescence X-ray intensity formula:

[0101]

[0102] Among them, C is the component content, I1, I2, ..., I n are the fluorescent X-ray intensities of the target ore received by each X-ray receiver, α, β, …, γ are weight coefficients, α, β, …, γ are all non-zero, α is the weight coefficient of I1, β is the weight coefficient of I2, γ is the weight coefficient of I n The weight coefficient is determined by the shooting angle.

[0103] In one implementation, each element releases fluorescent X-rays with specific energy after being excited by high-energy X-rays (such as primary X-rays). The energy of these fluorescent X-rays is element-specific, that is, each element has its own unique characteristic X-ray energy; the fluorescent X-rays are captured by the detector and converted into electrical signals to form a spectrum. The fluorescent X-ray energy on the spectrum is compared with the characteristic X-ray energy of known elements. If an energy peak on the spectrum matches the characteristic X-ray energy of an element, the presence of the element can be determined. The characteristic X-ray energy of an element is measured by laboratory personnel and is existing known data.

[0104] In one implementation, the weight coefficient in the formula of fluorescent X-ray intensity is determined by the shooting angle, the number of weight coefficients is determined by the number of fluorescent X-ray intensities of the target ore received by the X-ray receiver, and the number of X-ray receivers is determined by the actual X-ray emitters; wherein, the weight coefficient α in αI1 is the largest of all weight coefficients, and the X-ray emitter corresponding to this α is located directly above the ore, and the deviation of the acquired data due to the shooting angle is the smallest, so the weight coefficient is the largest, and the remaining weight coefficients are equally distributed, for example: one is installed directly above and four are installed around, then the weight corresponding to the directly above is 50%, and the remaining four are 12.5%; the installation positions of the X-ray emitter and the X-ray receiver are relative, which is helpful for receiving data; the ore screening channel is equipped with a conveyor belt, and the ore is transported on the conveyor belt. The X-ray emitter is generally installed above the screening channel, and the X-ray emitter with the largest weight is installed directly above, and the remaining X-ray emitters are dispersedly installed with the one with the largest weight as the center.

[0105] Based on the same inventive concept, the present invention also provides a multi-parameter fusion comprehensive ore screening device. Figure 2 , Figure 2 A schematic diagram of the structure of a multi-parameter fusion ore comprehensive screening device provided in an embodiment of the present invention includes: a type judgment module, a component detection module and a component analysis module:

[0106] A type judgment module is used to obtain a color image of the target ore, input the color image into the ore screening model, and judge the ore type of the target ore; the ore types include: miscellaneous stones, target processed ore, non-target processed ore and mixed ore;

[0107] A component detection module is used to select a detection scheme for the component content of the target ore according to the type of the target ore, and to model the target ore through X-rays according to the detection scheme to obtain a component content model;

[0108] The component analysis module is used to perform component analysis on the component content model to obtain the component content of the target ore, and determine the ore screening method according to the component content of the target ore.

[0109] A multi-parameter fusion comprehensive ore screening device provided in an embodiment of the present invention can effectively reduce the cost of ore screening by judging the type of ore, and then use multi-angle X-ray analysis of the internal components of the ore to increase the accuracy of ore detection. Different screening methods are determined according to different analysis results, which can reduce screening errors while ensuring efficiency, thereby correspondingly reducing the cost of subsequent processing procedures.

[0110] In one embodiment, the component detection module includes: a detection scheme determination module, a first detection scheme module, a second detection scheme module and a third detection scheme module:

[0111] A detection scheme determination module is used to determine a detection scheme for the content of target ore components according to the type of the target ore;

[0112] A first detection scheme module, for determining that the first detection scheme for the content of the target ore component is to eliminate the target ore if the target ore is a miscellaneous stone;

[0113] A second detection scheme module, for determining the content of the target ore component by a second detection scheme of taking an X-ray image of the target ore at a single angle and performing component detection if the target ore is a target processed ore or a non-target processed ore;

[0114] The third detection scheme module is used to determine the content of the target ore components if the target ore is a mixed ore. The third detection scheme is to take X-ray images of the target ore at multiple angles to obtain an X-ray image set, and model the target ore according to the X-ray image set to obtain a content distribution model.

[0115] In one embodiment, the second detection scheme module includes: a component judgment module

[0116] The component judgment module is used to perform X-ray component detection on the target ore from a single angle to obtain the analysis result of the target ore; the analysis result is the target component content or non-target component content of the target ore;

[0117] A first screening module is used to determine the target ore as a target processed ore if the target component content in the target ore is greater than or equal to a first component threshold, and screen the target processed ore into a first classification area;

[0118] A second screening module is used to determine the target ore as a non-target processed ore if the non-target component content in the target ore is greater than or equal to the first component threshold, and screen the non-target processed ore into a second classification area;

[0119] The third screening module is used to determine the target ore as mixed ore if the first component threshold in the target ore is greater than the target component and the non-target component is greater than the second component threshold, screen the mixed ore into a third classification area, and execute a third detection scheme.

[0120] In one embodiment, the third screening module includes: a model acquisition module, a content calculation module and a fourth screening module:

[0121] A model acquisition module, used to acquire the content distribution model of each ore after executing the third detection scheme;

[0122] The content calculation module is used to calculate the content ratio of the target component and the non-target component in the target ore according to the content distribution model;

[0123] The fourth screening module is used to determine the fourth classification area of ​​each ore according to the content ratio.

[0124] In one embodiment, the content calculation module includes: a data acquisition module, a component matching module, a component determination module and a content determination module:

[0125] A data acquisition module, used for transmitting X-rays through the target ore through the X-ray transmitter, and the X-ray receiver receives the fluorescent X-rays of the target ore;

[0126] A component matching module is used to convert fluorescent X-rays into electrical signals, form a spectrum according to the electrical signals, and compare the fluorescent X-ray energy on the spectrum with the characteristic X-ray energy of known elements;

[0127] A composition determination module, for determining the composition of the target ore if the energy peak of the fluorescent X-ray in the spectrum matches the characteristic X-ray energy of a known element;

[0128] A content determination module is used to determine the component content of the target ore according to the fluorescent X-ray intensity formula;

[0129] Fluorescence X-ray intensity formula:

[0130]

[0131] Among them, C is the component content, I1, I2, ..., I n are the fluorescent X-ray intensities of the target ore received by each X-ray receiver, α, β, …, γ are weight coefficients, α, β, …, γ are all non-zero, α is the weight coefficient of I1, β is the weight coefficient of I2, γ is the weight coefficient of I n The weight coefficient is determined by the shooting angle.

[0132] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A multi-parameter integrated ore screening method, characterized in that: The method comprises: Acquire a color image of the target ore, input the color image into an ore screening model, and determine the ore type of the target ore; the ore types include: miscellaneous stones, target processed ore, non-target processed ore, and mixed ore; Selecting a detection scheme for the component content of the target ore according to the type of the target ore, and modeling the target ore by X-ray according to the detection scheme to obtain a component content model; A component analysis is performed on the component content model to obtain the component content of the target ore, and an ore screening method is determined according to the component content of the target ore.

2. A multi-parameter fusion comprehensive ore screening method according to claim 1, characterized in that: A detection scheme for the content of the target ore component is selected according to the ore type of the target ore, and the method includes: Determine a detection scheme for the content of the target ore component according to the ore type of the target ore; If the target ore is a miscellaneous stone, the first detection scheme for determining the content of the target ore component is to eliminate it; If the target ore is a target processed ore or a non-target processed ore, the second detection scheme for determining the component content of the target ore is to take an X-ray image of the target ore at a single angle and perform component detection; If the target ore is a mixed ore, a third detection scheme for determining the content of the target ore components is to take X-ray images of the target ore at multiple angles to obtain an X-ray image set, and to model the target ore according to the X-ray image set to obtain the content distribution model.

3. A multi-parameter fusion comprehensive ore screening method according to claim 2, characterized in that: When the detection scheme for the target ore component content is single X-ray component detection, the method includes: Performing X-ray component detection on the target ore at a single angle to obtain an analysis result of the target ore; the analysis result is a target component content or a non-target component content of the target ore; If the target component content in the target ore is greater than or equal to the first component threshold, the target ore is determined to be a target processed ore, and the target processed ore is screened into a first classification area; If the non-target component content in the target ore is greater than or equal to the first component threshold, the target ore is determined to be a non-target processed ore, and the non-target processed ore is screened into a second classification area; If the first component threshold in the target ore is greater than the target component and the non-target component and greater than the second component threshold, the target ore is determined to be a mixed ore, the mixed ore is screened into a third classification area, and a third detection scheme is executed.

4. A multi-parameter fusion comprehensive ore screening method according to claim 3, characterized in that: According to the content distribution model, the analysis is performed, and the method comprises: Obtaining a content distribution model of each ore after executing the third detection scheme; Calculating the content ratio of the target component and the non-target component in the target ore according to the content distribution model; According to the content ratio, the fourth classification area of ​​each ore is determined.

5. A multi-parameter fusion comprehensive ore screening method according to claim 4, characterized in that: The content ratio of the target component and the non-target component in the target ore is calculated according to the content distribution model, and the method includes: An X-ray transmitter emits X-rays to penetrate the target ore, and an X-ray receiver receives fluorescent X-rays from the target ore; Converting the fluorescent X-rays into electrical signals, forming a spectrum according to the electrical signals, and comparing the fluorescent X-ray energy on the spectrum with the characteristic X-ray energy of known elements; If the energy peak of the fluorescent X-ray in the spectrum matches the characteristic X-ray energy of a known element, the composition of the target ore is determined; Determining the component content of the target ore according to the fluorescent X-ray intensity formula; Fluorescence X-ray intensity formula: Among them, C is the component content, I1, I2, ..., I n are the fluorescent X-ray intensities of the target ore received by each X-ray receiver, α, β, …, γ are weight coefficients, α, β, …, γ are all non-zero, α is the weight coefficient of I1, β is the weight coefficient of I2, γ is the weight coefficient of I n The weight coefficient is determined by the shooting angle.

6. A multi-parameter integrated ore screening device, characterized in that: The device comprises: a type judgment module, a component detection module and a component analysis module: The type judgment module is used to obtain a color image of the target ore, input the color image into the ore screening model, and judge the ore type of the target ore; the ore types include: miscellaneous stones, target processed ore, non-target processed ore and mixed ore; The component detection module is used to select a detection scheme for the component content of the target ore according to the ore type of the target ore, and to model the target ore through X-rays according to the detection scheme to obtain a component content model; The component analysis module is used to perform component analysis on the component content model to obtain the component content of the target ore, and determine the ore screening method according to the component content of the target ore.

7. The multi-parameter fusion comprehensive ore screening device according to claim 6 is characterized in that: The component detection module includes: a detection scheme determination module, a first detection scheme module, a second detection scheme module and a third detection scheme module: The detection scheme determination module is used to determine the detection scheme of the target ore component content according to the ore type of the target ore; The first detection scheme module is used to determine that the first detection scheme for the content of the target ore component is to eliminate the target ore if the target ore is a miscellaneous stone; The second detection scheme module is used for, if the target ore is a target processed ore or a non-target processed ore, determining the second detection scheme of the target ore component content by taking an X-ray image of the target ore at a single angle and performing component detection; The third detection scheme module is used to determine the third detection scheme of the target ore component content if the target ore is a mixed ore, which is to take X-ray images of the target ore at multiple angles to obtain an X-ray image set, and model the target ore according to the X-ray image set to obtain the content distribution model.

8. A multi-parameter fusion comprehensive ore screening method according to claim 7, characterized in that: The second detection scheme module includes: component judgment module The component judgment module is used to perform X-ray component detection on the target ore at a single angle to obtain an analysis result of the target ore; the analysis result is the target component content or non-target component content of the target ore; The first screening module is used to determine the target ore as a target processed ore if the target component content in the target ore is greater than or equal to a first component threshold, and screen the target processed ore into a first classification area; The second screening module is used to determine the target ore as a non-target processed ore if the non-target component content in the target ore is greater than or equal to the first component threshold, and screen the non-target processed ore into a second classification area; The third screening module is used to determine the target ore as mixed ore if the first component threshold in the target ore is greater than the target component and the non-target component is greater than the second component threshold, screen the mixed ore into a third classification area, and execute a third detection scheme.

9. A multi-parameter fusion comprehensive ore screening method according to claim 8, characterized in that: The third screening module includes: a model acquisition module, a content calculation module and a fourth screening module: The model acquisition module is used to acquire the content distribution model of each ore after executing the third detection scheme; The content calculation module is used to calculate the content ratio of the target component and the non-target component in the target ore according to the content distribution model; The fourth screening module is used to determine the fourth classification area of ​​each ore according to the content proportion.

10. A multi-parameter fusion comprehensive ore screening method according to claim 9, characterized in that: The content calculation module includes: a data acquisition module, a component matching module, a component determination module and a content determination module: The data acquisition module is used to transmit X-rays through the target ore through the X-ray transmitter, and the X-ray receiver receives the fluorescent X-rays of the target ore; The component matching module is used to convert the fluorescent X-ray into an electrical signal, form a spectrum according to the electrical signal, and compare the fluorescent X-ray energy on the spectrum with the characteristic X-ray energy of a known element; The composition determination module is used to determine the composition of the target ore if the energy peak of the fluorescent X-ray in the spectrum graph matches the characteristic X-ray energy of a known element; The content determination module is used to determine the component content of the target ore according to the fluorescent X-ray intensity formula; Fluorescence X-ray intensity formula: Among them, C is the component content, I1, I2, ..., I n are the fluorescent X-ray intensities of the target ore received by each X-ray receiver, α, β, …, γ are weight coefficients, α, β, …, γ are all non-zero, α is the weight coefficient of I1, β is the weight coefficient of I2, γ is the weight coefficient of I n The weight coefficient is determined by the shooting angle.

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