Online identification method, device and equipment for iron-containing solid waste of iron ore and storage medium

Abstract

The invention relates to the technical field of data processing, and discloses an online recognition method, device and equipment for iron-containing solid waste of iron ore and a storage medium. The method comprises the following steps: collecting a plurality of iron ore LIBS spectrograms and iron-containing solid waste LIBS spectrograms; performing spectrum pretreatment on each iron ore LIBS spectrogram and each iron-containing solid waste LIBS spectrogram to obtain a plurality of pretreated iron ore LIBS spectrograms and a plurality of pretreated iron-containing solid waste LIBS spectrograms; acquiring a to-be-measured spectrogram, and performing spectrum preprocessing on the to-be-measured spectrogram to obtain a preprocessed to-be-measured spectrogram; included angle value calculation is conducted on the preprocessed spectrogram to be detected and a first preset number of preprocessed iron ore LIBS spectrograms and a second preset number of preprocessed iron-containing solid waste LIBS spectrograms, and a first included angle value and a second included angle value are determined; and determining the ore type of the to-be-detected spectrogram according to the first included angle value and the second included angle value. According to the invention, online detection of the iron-containing solid waste in the iron ore can be realized, and the result accuracy is high.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an online identification method, device, equipment and storage medium for iron ore solid waste containing iron. Background Art

[0002] The iron-containing solid waste in iron ore is mainly slag, dust and iron oxide scale produced in the steel smelting process. These solid wastes are often mixed with imported minerals, affecting the quality of the ore.

[0003] The current identification technology for solid waste in port minerals cannot achieve online measurement, and requires manual judgment based on the element content obtained by the instrument. There are many subjective factors and the results are not very accurate. Summary of the invention

[0004] In view of this, the purpose of the present invention is to overcome the deficiencies in the prior art and to provide an online identification method, device, equipment and storage medium for iron ore iron-containing solid waste.

[0005] The present invention provides the following technical solutions: In a first aspect, an embodiment of the present disclosure provides an online identification method for iron-containing solid waste in iron ore, the method comprising: Collect multiple LIBS spectra of iron ore and multiple LIBS spectra of iron-containing solid waste; Performing spectral preprocessing on each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra; Acquire a spectrum to be measured, and perform spectral preprocessing on the spectrum to be measured to obtain a preprocessed spectrum to be measured; Calculate the angle values ​​of the pretreated spectrum to be tested, the first preset number of pretreated iron ore LIBS spectra, and the second preset number of pretreated iron-containing solid waste LIBS spectra, respectively, to determine the first angle value and the second angle value; The type of ore of the spectrum to be measured is determined according to the first angle value and the second angle value.

[0006] Optionally, collecting a plurality of LIBS spectra of iron ore and a plurality of LIBS spectra of iron-containing solid waste includes: Using a LIBS spectrometer to collect a plurality of LIBS spectra of iron ore of different categories, wherein the categories include at least one of origin, morphology, and process; A LIBS spectrometer was used to collect multiple LIBS spectra of iron ores from different origins, forms, and processes.

[0007] Optionally, the spectral preprocessing of each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra includes: The iron element spectrum line at the preset position is used as a marking point, and the intensity of each data point in each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra is divided by the iron element intensity at the marking point to obtain a plurality of iron ore LIBS spectra after intermediate processing and a plurality of iron-containing solid waste LIBS spectra after intermediate processing; The calcium element spectral band in a preset range in each of the intermediate-treated iron ore LIBS spectra and each of the intermediate-treated iron-containing solid waste LIBS spectra is intercepted to obtain multiple pre-treated iron ore LIBS spectra and multiple pre-treated iron-containing solid waste LIBS spectra.

[0008] Optionally, after obtaining a plurality of pre-treated iron ore LIBS spectra and a plurality of pre-treated iron-containing solid waste LIBS spectra, the method further comprises: Combining the plurality of pre-treated iron ore LIBS spectra into a first spectrum matrix; A plurality of the pretreated LIBS spectra of the iron-containing solid waste are combined into a second spectrum matrix.

[0009] Optionally, the pre-processed spectrum to be tested is respectively calculated with a first preset number of pre-processed iron ore LIBS spectra and a second preset number of pre-processed iron-containing solid waste LIBS spectra to determine the first angle value and the second angle value, including: Calculate the angle between the preprocessed spectrum to be tested and a first preset number of LIBS spectra in the first spectrum matrix using a preset angle value calculation formula to obtain a first preset number of angle values, and use the minimum value of the first preset number of angle values ​​as the first angle between the preprocessed spectrum to be tested and the first spectrum matrix; The preset angle value calculation formula is used to calculate the angle value between the preprocessed spectrum to be tested and a second preset number of LIBS spectra in the second spectral matrix to obtain a second preset number of angle values, and the minimum value of the second preset number of angle values ​​is used as the second angle value between the preprocessed spectrum to be tested and the second spectral matrix.

[0010] Optionally, the preset angle value calculation formula is:

[0011] In the formula, for and The angle value between is the spectrum to be measured after the preprocessing, is the LIBS spectrum in the first spectral matrix or the second spectral matrix, is the spectral dimension.

[0012] Optionally, determining the type of ore of the spectrum to be measured according to the first angle value and the second angle value includes: Determine whether the first angle value is smaller than the second angle value; If yes, the ore type of the spectrum to be tested is iron ore; If not, the ore type of the spectrum to be tested is iron-containing solid waste.

[0013] In a second aspect, an online identification device for iron-containing solid waste in iron ore is provided in an embodiment of the present disclosure, and the device comprises: The acquisition module is used to acquire multiple LIBS spectra of iron ore and multiple LIBS spectra of iron-containing solid waste; A preprocessing module, used for performing spectral preprocessing on each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra; An acquisition module is used to acquire a spectrum to be measured, and perform spectral preprocessing on the spectrum to be measured to obtain a preprocessed spectrum to be measured; A calculation module, for calculating angle values ​​of the pre-processed spectrum to be tested, a first preset number of pre-processed iron ore LIBS spectra, and a second preset number of pre-processed iron-containing solid waste LIBS spectra, to determine a first angle value and a second angle value; A determination module is used to determine the type of ore of the spectrum to be tested according to the first angle value and the second angle value.

[0014] In a third aspect, a computer device is provided in an embodiment of the present disclosure, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the online identification method of iron-containing solid waste in iron ore described in the first aspect when executing the computer program.

[0015] In a fourth aspect, a computer-readable storage medium is provided in an embodiment of the present disclosure, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the online identification method of iron-containing solid waste in iron ore described in the first aspect are implemented.

[0016] Beneficial effects of this application: The embodiment of the present application provides an online identification method for iron ore iron-containing solid waste, the method comprising: collecting multiple iron ore LIBS spectra and multiple iron-containing solid waste LIBS spectra; performing spectral preprocessing on each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain multiple preprocessed iron ore LIBS spectra and multiple preprocessed iron-containing solid waste LIBS spectra; obtaining a spectrum to be tested, and performing spectral preprocessing on the spectrum to be tested to obtain a preprocessed spectrum to be tested; calculating the angle value of the preprocessed spectrum to be tested with a first preset number of preprocessed iron ore LIBS spectra and a second preset number of preprocessed iron-containing solid waste LIBS spectra, respectively, to determine a first angle value and a second angle value; determining the ore type of the spectrum to be tested according to the first angle value and the second angle value. The present application can realize the online detection of iron-containing solid waste in iron ore without analyzing the element content in the ore. The type of ore in the spectrum to be tested can be identified only by relying on the unique spectral characteristics of the solid waste that are different from iron ore.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work. In each of the drawings, similar components are numbered similarly.

[0019] Figure 1 A flow chart of an online identification method for iron-containing solid waste in iron ore provided in an embodiment of the present application is shown; Figure 2 A schematic structural diagram of an online identification device for iron-containing solid waste in iron ore provided in an embodiment of the present application is shown; Figure 3 A schematic diagram of the structure of a computer device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0020] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0021] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. In contrast, when an element is referred to as being "directly on" another element, there is no intermediate element. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0022] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of the template are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0025] Example 1 like Figure 1 As shown, it is a flow chart of an online identification method of iron ore iron-containing solid waste in an embodiment of the present application. The online identification method of iron ore iron-containing solid waste provided in the embodiment of the present application comprises the following steps: Step S110, collecting multiple LIBS spectra of iron ore and multiple LIBS spectra of iron-containing solid waste.

[0026] Understandably, LIBS (Laser-Induced Breakdown Spectroscopy) technology uses ultrashort pulse lasers to focus on the sample surface to form plasma, and then analyzes the plasma emission spectrum to determine the material composition and content of the sample.

[0027] In this embodiment, a spectrometer is used to collect multiple LIBS spectra of iron ore from iron ores of different origins, forms, and processes to ensure that the samples are representative and can cover the main types and characteristics of iron ore. A spectrometer is used to collect multiple LIBS spectra of three types of iron-containing solid wastes, namely slag, dust removal ash, and iron oxide scale. These solid wastes usually come from the steel smelting process and contain a certain amount of iron and other impurities.

[0028] The above method provides a rich data basis for subsequent material composition analysis by collecting multiple LIBS spectra of iron ore and iron-containing solid waste. These spectra not only help to understand the material composition and content of iron ore and iron-containing solid waste, but also provide strong support for further research and application.

[0029] Step S120, performing spectral preprocessing on each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra.

[0030] It should be noted that after obtaining the LIBS spectrum of iron ore and the LIBS spectrum of iron-containing solid waste, the LIBS spectrum of iron ore and the LIBS spectrum of iron-containing solid waste are firstly subjected to spectral preprocessing to improve the accuracy and reliability of the spectral data.

[0031] Specifically, the Fe element spectral lines at preset positions (such as 344nm, 238.204nm, and 259.94nm) are selected as marking points. Fe is the main component of iron ore and iron-containing solid waste, and its spectral line intensity can reflect the content of iron in the sample.

[0032] Then, the intensity of each data point in each iron ore LIBS spectrum and each iron-containing solid waste LIBS spectrum was divided by the intensity of the iron element at the marked point to obtain multiple iron ore LIBS spectra after intermediate processing and multiple iron-containing solid waste LIBS spectra after intermediate processing.

[0033] The above pretreatment steps are because the iron content in iron ore is higher than that in iron-containing solid waste. Therefore, the difference between the peak intensity of each element and the peak intensity of iron can be magnified by dividing the peak intensity of each element by the peak intensity of iron. The purpose is to eliminate the difference in iron content between different samples, so that the spectral line intensity of other elements can relatively accurately reflect their content.

[0034] It should be noted that since the calcium content in iron ore is low or even non-existent, the extremely low concentration of calcium is reflected in the absence of a calcium peak in the LIBS spectrum. However, calcium exists in iron-containing solid waste, which is reflected in the presence of a calcium peak in the LIBS spectrum. Therefore, the use of LIBS to identify iron ore and solid waste depends on the presence or absence of a calcium peak in the spectrum.

[0035] Therefore, the calcium element spectral band in the preset range (such as 311-320nm, 390-400nm) in the LIBS spectrum of the iron ore after each intermediate treatment and the LIBS spectrum of the iron-containing solid waste after each intermediate treatment is intercepted to obtain multiple LIBS spectra of the iron ore after pretreatment and multiple LIBS spectra of the iron-containing solid waste after pretreatment.

[0036] The above preprocessing steps are to accurately capture the Ca element spectral peak band, further amplify the difference between iron ore without Ca element peak and iron-containing solid waste with Ca element peak, which can be used to distinguish iron ore from iron-containing solid waste.

[0037] In a preferred embodiment, after generating multiple pretreated iron ore LIBS spectra and multiple pretreated iron-containing solid waste LIBS spectra, the multiple pretreated iron ore LIBS spectra are combined into a first spectral matrix, which contains the spectral feature information of the iron ore sample; and the multiple pretreated iron-containing solid waste LIBS spectra are combined into a second spectral matrix, which contains the spectral feature information of the iron-containing solid waste sample.

[0038] The above method does not need to analyze the element content in the ore, but only needs to go through a certain spectral preprocessing process to extract the unique spectral characteristics of solid waste that are different from iron ore. It can not only reduce analysis time and cost, but also avoid some of the complexity and uncertainty in traditional element quantitative analysis.

[0039] Step S130, obtaining a spectrum to be measured, and performing spectral preprocessing on the spectrum to be measured to obtain a preprocessed spectrum to be measured.

[0040] It can be understood that the same spectrum preprocessing step is performed on the unknown spectrum to be measured in step S120 to obtain the preprocessed spectrum to be measured. The specific implementation process is not described in detail in this embodiment.

[0041] Step S140, calculating the angle values ​​of the preprocessed spectrum to be tested, a first preset number of preprocessed iron ore LIBS spectra, and a second preset number of preprocessed iron-containing solid waste LIBS spectra, to determine a first angle value and a second angle value.

[0042] Specifically, the angle value calculation formula is used to calculate the angle value of the pre-processed spectrum to be tested and the first preset number p of pre-processed iron ore LIBS spectra to obtain the first preset number p of angle values, and the minimum value p of the first preset number p of angle values ​​is calculated. min , as the first angle value between the preprocessed spectrum to be measured and the first spectrum matrix.

[0043] The angle value calculation formula is used to calculate the angle value of the pretreated spectrum to be tested and the second preset number q pretreated iron-containing solid waste LIBS spectra to obtain the second preset number q angle values, and the minimum value q among the second preset number q angle values ​​is calculated. min , as the second angle value between the preprocessed spectrum to be measured and the second spectrum matrix.

[0044] It can be understood that the smaller the angle value is, the more similar the spectrum to be tested is to the spectrum characteristics of the corresponding category. min It reflects the similarity between the spectrum to be tested and the LIBS spectrum of iron ore. The second angle value q min It reflects the similarity between the spectrum to be tested and the LIBS spectrum of iron-containing solid waste.

[0045] Among them, the calculation formula for the preset angle value is:

[0046] In the formula, for and The angle value between is the spectrum to be tested after preprocessing, is the LIBS spectrum in the first spectral matrix or the second spectral matrix, is the spectrum dimension (i.e. the number of points in the spectral data).

[0047] The above method is one of the key steps in the process of material classification or identification. By calculating the angle value, the similarity between the spectrum to be tested and spectra of different categories can be quantified, providing an important basis for subsequent classification or identification decisions.

[0048] Step S150, determining the type of ore of the spectrum to be measured according to the first angle value and the second angle value.

[0049] Understandably, after calculating the first angle value p min and the second angle value q min After that, the two are compared and the spectrum to be tested belongs to the type of ore corresponding to the smallest angle value.

[0050] If the first angle value p min Less than the second angle value q min , then the ore type of the spectrum to be tested is determined to be iron ore; if the second angle value q min Less than the first angle value p min , then the ore type of the spectrum to be tested is determined to be iron-containing solid waste.

[0051] The above method is the final decision-making step for material classification or identification. By comparing the first angle value and the second angle value, the type of ore in the spectrum to be tested can be objectively and accurately determined. This method not only improves the accuracy of classification, but also reduces the subjectivity of human judgment, providing a fast and reliable method for material classification or identification.

[0052] In a preferred embodiment, in order to verify the feasibility and accuracy of the above identification method, a total of 19 iron ore samples and 3 solid waste samples were collected in this embodiment. Among them, 15 iron ore samples were used as modeling samples, 4 were used as verification samples, and 2 solid waste samples were used as modeling samples, and 1 was used as verification sample. The following experiments were conducted: (1) The LIBS spectrometer was used to collect 1000 samples of each sample and the average value was taken. This was done 4 times in total, that is, 4 LIBS spectra were obtained for each sample. There were 60 spectra of iron ore samples for modeling and 16 spectra of validation samples. There were 8 spectra of solid waste samples for modeling and 4 spectra of validation samples. (2) Preprocess the 60 modeled iron ore sample spectra to form an iron ore spectrum matrix, and preprocess the 8 modeled solid waste sample spectra to form a solid waste spectrum matrix; (3) After preprocessing the verified iron ore samples, the cosine angle values ​​were calculated with the iron ore spectrum matrix and the solid waste spectrum matrix respectively. The obtained data are shown in Table 1: Table 1

[0053] (4) After pre-processing the verified solid waste samples, the cosine angle values ​​were calculated with the iron ore spectrum matrix and the solid waste spectrum matrix respectively. The obtained data are shown in Table 2: Table 2

[0054] (5) Using the spectral matrix composed of 76 iron ore spectra and the spectral matrix composed of 12 solid waste spectra, the solid waste doping in iron ore was predicted. The results are shown in Table 3: Table 3

[0055] Through the above verification, it can be accurately known that by using the online identification method of iron ore and iron-containing solid waste provided in this application to identify the spectrum to be tested, it can be accurately determined whether the ore type of the spectrum to be tested is iron ore or iron-containing solid waste, and online detection can be realized without the need for joint detection of multiple methods, without manual judgment, reducing labor costs, and the results are highly accurate.

[0056] The online identification method of iron-containing solid waste in iron ore provided in the embodiment of the present application is by collecting multiple LIBS spectra of iron ore and multiple LIBS spectra of iron-containing solid waste; performing spectral preprocessing on each of the LIBS spectra of iron ore and each of the LIBS spectra of iron-containing solid waste to obtain multiple preprocessed LIBS spectra of iron ore and multiple preprocessed LIBS spectra of iron-containing solid waste; obtaining a spectrum to be tested, and performing spectral preprocessing on the spectrum to be tested to obtain a preprocessed spectrum to be tested; calculating the angle value of the preprocessed spectrum to be tested with a first preset number of preprocessed LIBS spectra of iron ore and a second preset number of preprocessed LIBS spectra of iron-containing solid waste, respectively, to determine the first angle value and the second angle value; according to the first angle value and the second angle value, determining the ore type of the spectrum to be tested. The present application can realize the online detection of iron-containing solid waste in iron ore, and there is no need to analyze the element content in the ore, and the ore type of the spectrum to be tested can be identified only by relying on the unique spectral characteristics of the solid waste that are different from iron ore.

[0057] Example 2 like Figure 2 , which is a schematic diagram of the structure of an online identification device 200 for iron ore iron-containing solid waste in an embodiment of the present application, and the device includes: The acquisition module 210 is used to acquire multiple LIBS spectra of iron ore and multiple LIBS spectra of iron-containing solid waste; A preprocessing module 220 is used to perform spectral preprocessing on each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra; The acquisition module 230 is used to acquire the spectrum to be measured, and perform spectral preprocessing on the spectrum to be measured to obtain the preprocessed spectrum to be measured; A calculation module 240 is used to calculate the angle value of the pre-processed spectrum to be tested with a first preset number of pre-processed iron ore LIBS spectra and a second preset number of pre-processed iron-containing solid waste LIBS spectra to determine a first angle value and a second angle value; The determination module 250 is used to determine the type of ore of the spectrum to be tested according to the first angle value and the second angle value.

[0058] The online identification device for iron-containing solid waste in iron ore provided in the embodiment of the present application can realize online detection of iron-containing solid waste in iron ore without analyzing the element content in the ore. The type of ore in the spectrum to be tested can be identified only by relying on the unique spectral characteristics of the solid waste that are different from iron ore.

[0059] Example 3 The present application also provides a computer device. Figure 3 , Figure 3This is a basic structural block diagram of the computer device in this embodiment.

[0060] The computer device 3 includes a memory 31, a processor 32, and a network interface 33 that are interconnected and communicated through a system bus. It should be noted that the figure only shows a computer device 3 with a memory 31, a processor 32, and a network interface 33, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (ASIC), programmable gate arrays (FPGA), digital signal processors (DSP), embedded devices, etc.

[0061] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0062] The memory 31 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or D slot compatibility test memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 31 can be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 31 can also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Of course, the memory 31 can also include both the internal storage unit of the computer device 3 and its external storage device. In this embodiment, the memory 31 is generally used to store the operating system and various application software installed on the computer device 3, such as computer-readable instructions of the slot compatibility test method, etc. In addition, the memory 31 can also be used to temporarily store various types of data that have been output or are to be output.

[0063] The processor 32 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other online identification chip for iron-containing solid waste in iron ore in some embodiments. The processor 32 is generally used to control the overall operation of the computer device 3. In this embodiment, the processor 32 is used to run computer-readable instructions or process data stored in the memory 31, such as computer-readable instructions for running the slot compatibility test method.

[0064] The network interface 33 may include a wireless network interface or a wired network interface. The network interface 33 is generally used to establish a communication connection between the computer device 3 and other electronic devices.

[0065] The computer device provided in this embodiment can execute the above-mentioned online identification method of iron-containing solid waste in iron ore. Here, the online identification method of iron-containing solid waste in iron ore can be the online identification method of iron-containing solid waste in iron ore in each of the above-mentioned embodiments.

[0066] Example 4 This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the online identification method of iron-containing solid waste in iron ore in the embodiment are implemented.

[0067] In this embodiment, the computer-readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the computer-readable storage medium can be an internal storage unit of a computer device, such as a hard disk or memory of the computer device. In other embodiments, the computer-readable storage medium can also be an external storage device of a computer device, such as a plug-in hard disk equipped on the computer device, a smart memory card (Smart Media Card, referred to as SMC), a secure digital (Secure Digital, referred to as SD) card, a flash card, etc. Of course, the computer-readable storage medium can also include both the internal storage unit of the computer device and its external storage device. In this embodiment, the computer-readable storage medium is generally used to store an operating system and various application software installed on the computer device. In addition, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or are to be output.

[0068] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and structure diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in an alternative implementation, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the structure diagram and / or the flow chart, and the combination of boxes in the structure diagram and / or the flow chart, can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0069] In addition, the functional modules or units in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0070] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a smart phone, a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium can be a non-volatile storage medium or a volatile storage medium. For example, the storage medium can be: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes.

[0071] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An online identification method for iron-containing solid waste in iron ore, characterized in that: The method comprises: Collect multiple LIBS spectra of iron ore and multiple LIBS spectra of iron-containing solid waste; Performing spectral preprocessing on each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra; Acquire a spectrum to be measured, and perform spectral preprocessing on the spectrum to be measured to obtain a preprocessed spectrum to be measured; Calculate the angle values ​​of the pretreated spectrum to be tested, the first preset number of pretreated iron ore LIBS spectra, and the second preset number of pretreated iron-containing solid waste LIBS spectra, to determine the first angle value and the second angle value; The type of ore of the spectrum to be measured is determined according to the first angle value and the second angle value.

2. The online identification method of iron ore iron-containing solid waste according to claim 1, characterized in that: The collecting of multiple iron ore LIBS spectra and multiple iron-containing solid waste LIBS spectra includes: Using LIBS spectrometer, we collected multiple LIBS spectra of iron ores from different origins, forms, and processes; The LIBS spectrometer was used to collect multiple LIBS spectra of three types of iron-containing solid waste: slag, dust ash and iron oxide scale.

3. The online identification method of iron ore iron-containing solid waste according to claim 1, characterized in that: The spectral preprocessing of each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra includes: The iron element spectrum line at the preset position is used as a marking point, and the intensity of each data point in each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra is divided by the iron element intensity at the marking point to obtain a plurality of iron ore LIBS spectra after intermediate processing and a plurality of iron-containing solid waste LIBS spectra after intermediate processing; The calcium element spectral band in a preset range in each of the intermediate-treated iron ore LIBS spectra and each of the intermediate-treated iron-containing solid waste LIBS spectra is intercepted to obtain multiple pre-treated iron ore LIBS spectra and multiple pre-treated iron-containing solid waste LIBS spectra.

4. The online identification method of iron ore iron-containing solid waste according to claim 1, characterized in that: After obtaining the plurality of pre-treated iron ore LIBS spectra and the plurality of pre-treated iron-containing solid waste LIBS spectra, the method further comprises: Combining the plurality of pre-treated iron ore LIBS spectra into a first spectrum matrix; A plurality of the pretreated LIBS spectra of the iron-containing solid waste are combined into a second spectrum matrix.

5. The online identification method of iron ore iron-containing solid waste according to claim 4, characterized in that: The method of calculating the angle values ​​of the pretreated spectrum to be tested, the pretreated iron ore LIBS spectrum of a first preset number of sheets and the pretreated iron-containing solid waste LIBS spectrum of a second preset number of sheets respectively, and determining the first angle value and the second angle value comprises: Calculate the angle between the preprocessed spectrum to be tested and a first preset number of LIBS spectra in the first spectrum matrix using a preset angle value calculation formula to obtain a first preset number of angle values, and use the minimum value of the first preset number of angle values ​​as the first angle between the preprocessed spectrum to be tested and the first spectrum matrix; The preset angle value calculation formula is used to calculate the angle value between the preprocessed spectrum to be tested and a second preset number of LIBS spectra in the second spectral matrix to obtain a second preset number of angle values, and the minimum value of the second preset number of angle values ​​is used as the second angle value between the preprocessed spectrum to be tested and the second spectral matrix.

6. The online identification method of iron-containing solid waste in iron ore according to claim 5, characterized in that: The calculation formula for the preset angle value is: In the formula, for and The angle value between is the spectrum to be measured after the preprocessing, is the LIBS spectrum in the first spectral matrix or the second spectral matrix, is the spectral dimension.

7. The online identification method of iron ore iron-containing solid waste according to claim 1, characterized in that: The step of determining the type of ore of the spectrum to be measured according to the first angle value and the second angle value includes: Determine whether the first angle value is smaller than the second angle value; If yes, the ore type of the spectrum to be tested is iron ore; If not, the ore type of the spectrum to be tested is iron-containing solid waste.

8. An online identification device for iron-containing solid waste in iron ore, characterized in that: The device comprises: The acquisition module is used to acquire multiple LIBS spectra of iron ore and multiple LIBS spectra of iron-containing solid waste; A preprocessing module, used for performing spectral preprocessing on each of the iron ore LIBS spectra and each of the iron-containing solid waste LIBS spectra to obtain a plurality of preprocessed iron ore LIBS spectra and a plurality of preprocessed iron-containing solid waste LIBS spectra; An acquisition module is used to acquire a spectrum to be measured, and perform spectral preprocessing on the spectrum to be measured to obtain a preprocessed spectrum to be measured; A calculation module, for calculating angle values ​​of the pre-processed spectrum to be tested, a first preset number of pre-processed iron ore LIBS spectra, and a second preset number of pre-processed iron-containing solid waste LIBS spectra, to determine a first angle value and a second angle value; A determination module is used to determine the type of ore of the spectrum to be tested according to the first angle value and the second angle value.

9. A computer device, characterized in that: It comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the online identification method of iron ore iron-containing solid waste according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the online identification method of iron ore iron-containing solid waste described in any one of claims 1-7 are implemented.

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