Device and method for real-time detection of magnetite content in iron ore belt conveying process

Abstract

The application provides a device for instant detection of magnetite content in the process of iron ore rubber belt transportation, which comprises a rubber belt transportation component, a magnetic field carding component arranged below the rubber belt transportation component, a magnetic field detection component arranged above the rubber belt transportation component, and a computer processing unit connected with the magnetic field detection component. The rubber belt transportation component comprises a transportation rubber belt for transporting iron ore piles in the production process. The magnetic field carding component is used for carding the magnetic field of the iron ore piles, unifying the magnetic field direction of the magnetic iron ore in the iron ore piles, and enhancing the magnetic induction intensity of the iron ore piles. The magnetic field detection component is used for detecting the magnetic induction intensity of the iron ore piles. The computer processing unit calculates the content of the magnetic iron ore in the iron ore piles by using the correlation between the magnetic induction intensity of the iron ore piles and the content of the magnetic iron ore. The application can realize instant detection of the content of the magnetic iron ore in the iron ore piles on the transportation rubber belt without contact and damage.

Description

Technical Field

[0001] This invention relates to the field of mineral processing technology, and in particular to a device and method for real-time detection of magnetite content during the conveyor belt transportation of iron ore. Background Technology

[0002] Iron ore is a fundamental resource supporting industrial development. Currently, the iron ore used in industrial-scale development mainly includes two categories: magnetite and hematite. Magnetite has a relatively simple beneficiation process, with magnetic separation capable of recovering the vast majority of magnetite resources. Hematite, however, is a more difficult iron ore to beneficiate. For mixed magnetite-hematite iron ores, such as the Anshan-type and Jingtieshan-type iron ores, the technical and economic indicators for their recovery mainly depend on the magnetic iron content. When the magnetic iron content in the ore is low, to minimize the impact on the economic efficiency of the beneficiation process, a blending process is often used, mixing it with another batch of iron ore with a higher magnetite content to improve the beneficiation efficiency. Therefore, real-time detection of the magnetic iron content in iron ore is of significant guiding importance for blending processes.

[0003] The current method for detecting magnetic iron ore in iron ore mainly relies on manual testing. The magnetic iron ore content is indirectly obtained by titrating the divalent iron content in the ore. However, this method depends on skilled professionals and involves multiple steps such as weighing, dissolving, and titrating. The testing cycle is long and the test results are not timely. In addition, the material representativeness of the manual sampling process from the mine is poor, and the test results are difficult to represent the magnetic iron ore content of the entire stockpile.

[0004] The amount of magnetic iron ore in the ore directly affects the magnetism of the stockpile. Currently, the most mature method for real-time detection of magnetic iron ore is magnetic field detection technology based on the Hall effect. Hall sensors developed based on this technology are already used in various fields such as servo motor positioning, vehicle speed detection, and magnetic system detection. However, in iron ore stockpiles, the arrangement of individual magnetic iron ore particles is disordered, and the magnetic fields between the magnetite particles interfere with each other, resulting in a weak overall external magnetic field of the stockpile. In addition, direct magnetic detection of ore stockpiles in the mining area has poor representativeness; theoretically, only surface magnetite can be detected, leading to insufficient representativeness. Summary of the Invention

[0005] This invention provides an apparatus and method for real-time detection of magnetite content during the transport of iron ore on conveyor belts, in order to solve the technical problem that existing real-time magnetite content detection methods can only detect surface magnetite, resulting in insufficient representativeness of the results.

[0006] The technical solution provided by this invention is as follows:

[0007] One object of the present invention is to provide a device for real-time detection of magnetite content during the conveyor belt transportation of iron ore, the device comprising:

[0008] A conveyor belt assembly, comprising a conveyor belt, for transporting iron ore stockpiles during the production process;

[0009] The magnetic field sorting component arranged below the conveyor belt is used to sort the magnetic field of the iron ore pile, unify the magnetic field direction of the magnetic iron ore in the iron ore pile, and enhance the magnetic induction intensity of the iron ore pile.

[0010] A magnetic field detection component arranged above the conveyor belt is used to detect the magnitude of the magnetic induction intensity of the iron ore pile.

[0011] A computer processing unit, connected to the magnetic field detection component, calculates the content of magnetic iron ore in the iron ore pile by utilizing the correlation between the magnetic induction intensity of the iron ore pile and the content of magnetic iron ore.

[0012] In a preferred embodiment, the magnetic field combing component includes a permanent magnet material and a non-magnetic material support.

[0013] The distance between the permanent magnet material and the bottom of the iron ore pile transported by the conveyor belt is 0.2m; the length of the permanent magnet material is 1.5m.

[0014] In a preferred embodiment, the permanent magnet material is neodymium iron boron (NdFeB).

[0015] In a preferred embodiment, the vertical height between the magnetic field detection component and the edge of the transport tape is 0.5m;

[0016] The horizontal distance between the magnetic field detection component and the magnetic field combing component is 6m.

[0017] In a preferred embodiment, the magnetic field detection component includes: an array of multiple Hall sensors connected in series;

[0018] Each Hall sensor is connected to a miniature voltmeter, and multiple miniature voltmeters are connected to a voltage data output device; the voltage data output device is connected to the computer processing unit.

[0019] The multiple Hall sensors connected in series are connected to an external power source via an external power interface.

[0020] In a preferred embodiment, the distance d between two adjacent Hall sensors is ≤20mm.

[0021] In a preferred embodiment, the computer processing unit establishes a correlation model between the magnetic induction intensity of the iron ore pile and the content of magnetic iron ore through machine learning.

[0022] The computer processing unit collects the Hall voltage output by the voltage data output device and calculates the magnetic induction intensity of the iron ore pile.

[0023] The computer processing unit inputs the calculated magnetic induction intensity of the iron ore pile into the correlation model and outputs the magnetic iron ore content in the iron ore pile.

[0024] In a preferred embodiment, the computer processing unit calculates the magnetic induction intensity of the iron ore pile using the following method:

[0025]

[0026] Among them, V H R is the Hall voltage, in mV; H R is the Hall coefficient of the Hall sensor, which is determined by the metallic conductor properties of the Hall sensor. H = 1 / ne, where n is the number of free electrons per unit volume of the metal conductor of the Hall sensor, and e is the charge of the electron;

[0027] I represents the current passing through the Hall sensor, in mA; B represents the magnetic induction intensity of the iron ore pile, in T; and b represents the width of the Hall sensor, in mm.

[0028] Another object of the present invention is to provide a method for real-time detection of magnetite content during the conveyor belt transportation of iron ore, the method comprising:

[0029] A correlation model between the magnetic induction intensity of iron ore piles and the content of magnetic iron ore was established using machine learning.

[0030] The Hall voltage output by the voltage data output device is collected, and the magnetic induction intensity of the iron ore pile is calculated.

[0031] The calculated magnetic induction intensity of the iron ore pile is input into the correlation model, and the magnetic iron ore content in the iron ore pile is output.

[0032] In a preferred embodiment, the magnetic induction intensity of the iron ore pile is calculated by the following method:

[0033]

[0034] Among them, V H R is the Hall voltage, in mV; H R is the Hall coefficient of the Hall sensor, which is determined by the metallic conductor properties of the Hall sensor. H = 1 / ne, where n is the number of free electrons per unit volume of the metal conductor of the Hall sensor, and e is the charge of the electron;

[0035] I represents the current passing through the Hall sensor, in mA; B represents the magnetic induction intensity of the iron ore pile, in T.

[0036] b represents the width of the Hall sensor, in mm.

[0037] The above-described technical solution of the present invention has at least the following beneficial effects compared with the prior art:

[0038] This invention provides a device and method for real-time detection of magnetite content during iron ore conveyor belt transportation. It enables non-contact and non-destructive real-time detection of the magnetic iron ore content in the iron ore pile on the conveyor belt, providing a reference for real-time understanding of the magnetic iron ore content in the iron ore pile on the conveyor belt during the production process.

[0039] This invention provides a device and method for real-time detection of magnetite content during iron ore conveyor belt transportation. Addressing the problems of complex and cumbersome methods for detecting magnetic iron ore content in iron ore piles, and the inability to obtain relevant production data in real time, this invention utilizes the correlation between magnetic induction intensity and magnetic iron ore content. By magnetizing the iron ore pile and combining the Hall effect principle with machine learning algorithms, it achieves the effect of real-time acquisition of magnetic iron ore content data in the iron ore pile, realizing non-contact, non-destructive, and real-time detection of magnetic iron ore content. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a schematic diagram of the structure of a device for real-time detection of magnetite content during the conveyor belt transportation of iron ore according to the present invention.

[0042] Figure 2 This is a schematic diagram of the magnetic field detection component of the present invention.

[0043] Figure 3 This is a cross-sectional schematic diagram of the magnetic field detection component of the present invention arranged above the conveyor belt component. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0045] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms “first,” “second,” and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms “an,” “a,” or “the,” and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms “comprising,” “including,” or “including,” and similar terms mean that the element or object preceding the word encompasses the element or object listed following the word and its equivalents, without excluding other elements or objects. The terms “connected,” “linked,” or “connected,” and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0046] It should be noted that the terms "up", "down", "left", "right", "front", and "back" used in this invention are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0047] Combination Figures 1 to 3 According to an embodiment of the present invention, an apparatus for real-time detection of magnetite content during iron ore conveyor belt transportation is provided, comprising: a conveyor belt transportation component, a magnetic field sorting component 2 arranged below the conveyor belt transportation component, a magnetic field detection component 3 arranged above the conveyor belt transportation component, and a computer processing unit 4.

[0048] The conveyor belt component includes a conveyor belt 1 for transporting iron ore stockpiles during the production process. In some embodiments, the conveyor belt component uses a conventional conveyor belt, with the distance between the upper and lower conveyor belts 1 being ≥1.5m, to allow for the installation of a magnetic combing component 2.

[0049] The magnetic field sorting component 2, located below the conveyor belt, is used to sort the magnetic field of the iron ore pile, unify the magnetic field direction of the magnetic iron ore in the iron ore pile, and enhance the magnetic induction intensity of the iron ore pile.

[0050] According to an embodiment of the present invention, the magnetic field combing component 2 includes a permanent magnet material and a non-magnetic material support. The non-magnetic material support is used to support the permanent magnet material, which is neodymium iron boron material.

[0051] To ensure sufficient magnetization of the iron ore pile on conveyor belt 1 and to prevent the iron ore pile from being attracted by the permanent magnet material and unable to be transported normally by conveyor belt 1, the maximum magnetic energy product (BHmax) of the permanent magnet material should not be too high, and the distance H between the permanent magnet material and the bottom of the upper conveyor belt 1 should not be too close. In this invention, the distance H between the permanent magnet material and the bottom of the iron ore pile transported by conveyor belt 1 is 0.2m, the length L of the permanent magnet material is 1.5m, and the maximum magnetic energy product is 30MGOe. Figure 1 As shown.

[0052] According to an embodiment of the present invention, a magnetic field detection component 3 arranged above the conveyor belt is used to detect the magnitude of the magnetic induction intensity of the iron ore pile.

[0053] According to an embodiment of the present invention, the magnetic field detection component 3 includes: an array of multiple Hall sensors P103, which are connected in series via wires P102. Each Hall sensor P103 is connected to a miniature voltmeter P104, and the multiple miniature voltmeters P104 are connected to a voltage data output device P105, which is connected to a computer processing unit 4. The multiple Hall sensors P103 connected in series are connected to an external power supply via an external power interface P101. The magnetic field detection component 3 is encapsulated in a plastic housing P106.

[0054] According to an embodiment of the present invention, the vertical height h between the magnetic field detection component 3 and the edge of the transport belt 1 is 0.5m. Further, the vertical height h between the Hall sensor P103 and the edge of the transport belt 1 is 0.5m, as shown below. Figure 3 As shown. Each Hall sensor P103 has a length a of 150mm, a width b of 100mm, and a height c of 5mm. The spacing d between two adjacent Hall sensors P103 is ≤20mm, as shown. Figure 2 As shown.

[0055] The magnetic field detection component 3 is located downstream of the magnetic field combing component 2. To avoid the high-intensity magnetic field of the magnetic field combing component 2 affecting the detection results, the horizontal distance D between the magnetic field detection component 3 and the magnetic field combing component 2 is 6m. Figure 1 As shown.

[0056] Preferably, the magnetic field detection component 3 array has five Hall sensors P103. The five Hall sensors P103 divide the iron ore pile into five small areas, measure the magnetic induction intensity values ​​of the five small areas of the iron ore pile respectively, and take the weighted average of the measurement results to ensure the accuracy of the detection.

[0057] Because the conveyor belt 1 of the iron ore pile has a concave structure, the amount of ore in the middle of the pile is greater than that on both sides, resulting in a very uneven magnetic induction intensity across the entire pile. Therefore, this invention uses five Hall sensors P103 connected in series, with the distance d between adjacent sensors ≤ 20mm. The entire iron ore pile is divided into five small areas using these five sensors, and the magnetic induction intensity of each area is measured separately. The results are then weighted and averaged to ensure the accuracy and scientific validity of the measurement. Figure 3 As shown.

[0058] In this invention, each Hall sensor P103 is connected to a miniature voltmeter P104, and multiple miniature voltmeters P104 are connected to a voltage data output device P105. The miniature voltmeters P104 are used to measure the voltage value generated across the Hall sensor P103 during operation. Specifically, based on the Hall effect: when the Hall sensor P103 is placed in a magnetic field and a current flows through it, the current in the metal conductor of the Hall sensor P103 is deflected to one side by a Lorentz force, thereby generating a Hall voltage across the Hall sensor P103.

[0059] The voltage data output device P105 has a built-in chip for recording the readings (Hall voltage) of the miniature voltmeter P104 in real time and transmitting the readings (Hall voltage) of each miniature voltmeter P104 to the computer processing unit 4.

[0060] According to an embodiment of the present invention, the computer processing unit 4 is connected to the magnetic field detection component 3, and calculates the content of magnetic iron ore in the iron ore pile by utilizing the correlation between the magnetic induction intensity of the iron ore pile and the content of magnetic iron ore.

[0061] Furthermore, the computer processing unit 4 is connected to the voltage data output device P105 of the magnetic field detection component 3, and collects the readings (Hall voltage) of each miniature voltmeter P104 transmitted by the voltage data output device P105, thereby calculating the magnitude of the magnetic induction intensity of the iron ore pile detected by the magnetic field detection component 3.

[0062] According to an embodiment of the present invention, the computer processing unit 4 establishes a correlation model between the magnetic induction intensity of the iron ore pile and the content of magnetic iron ore through machine learning.

[0063] For example, by learning in advance the correlation data between the magnetic induction intensity and the content of magnetic iron ore in a large number of iron ore piles, a correlation model (such as a neural network model) can be established between the magnetic induction intensity and the content of magnetic iron ore in the iron ore piles.

[0064] Computer processing unit 4 collects the Hall voltage output by voltage data output device P105 and calculates the magnetic induction intensity of the iron ore pile.

[0065] Furthermore, the computer processing unit 4 calculates the magnetic induction intensity of the iron ore pile using the following method:

[0066] From the Hall effect:

[0067] We can obtain:

[0068]

[0069] Among them, V H R is the Hall voltage, in mV; H R is the Hall coefficient of the Hall sensor, which is determined by the metallic conductor properties of the Hall sensor. H = 1 / ne, where n is the number of free electrons per unit volume of the metal conductor of the Hall sensor, and e is the charge of the electron;

[0070] I represents the current passing through the Hall sensor, in mA; B represents the magnetic induction intensity of the iron ore pile, in T.

[0071] b represents the width of the Hall sensor, in mm.

[0072] Computer processing unit 4 inputs the calculated magnetic induction intensity B of the iron ore pile into the correlation model and outputs the content of magnetic iron ore in the iron ore pile. Finally, the average value of the five sets of data is taken to obtain the real-time data of the content of magnetic iron ore in the iron ore pile on conveyor belt 1.

[0073] According to embodiments of the present invention, a method for real-time detection of magnetite content during iron ore conveyor belt transportation is provided. The method utilizes an apparatus provided by the present invention for real-time detection of magnetite content during iron ore conveyor belt transportation to perform real-time detection of the magnetic iron ore content in iron ore stockpiles, comprising the following steps:

[0074] Step S1: Magnetic field sorting of iron ore pile: Using the magnetic field sorting component 2 arranged below the conveyor belt, the magnetic field of the iron ore pile is sorted, the magnetic field direction of the magnetic iron ore in the iron ore pile is unified, and the magnetic induction intensity of the iron ore pile is enhanced.

[0075] Step S2: Magnetic field detection of the iron ore pile: Multiple Hall sensors P103 of the magnetic field detection component 3 generate Hall voltages within the strong magnetic field of the iron ore pile. The computer processing unit 4 is connected to the voltage data output device P105 of the magnetic field detection component 3, and collects the readings (Hall voltages) of each miniature voltmeter P104 transmitted by the voltage data output device P105, thereby calculating the magnitude of the magnetic induction intensity of the iron ore pile detected by the magnetic field detection component 3.

[0076] Step S3, calculation of the magnetic iron ore content in the iron ore pile, including:

[0077] Computer processing unit 4 establishes a correlation model between the magnetic induction intensity of the iron ore pile and the content of magnetic iron ore through machine learning.

[0078] For example, by learning in advance the correlation data between the magnetic induction intensity and the content of magnetic iron ore in a large number of iron ore piles, a correlation model (such as a neural network model) can be established between the magnetic induction intensity and the content of magnetic iron ore in the iron ore piles.

[0079] Computer processing unit 4 collects the Hall voltage output by the voltage data output device and calculates the magnetic induction intensity of the iron ore pile.

[0080] Furthermore, the computer processing unit 4 calculates the magnetic induction intensity of the iron ore pile using the following method:

[0081]

[0082] Among them, V H R is the Hall voltage, in mV; H R is the Hall coefficient of the Hall sensor, which is determined by the metallic conductor properties of the Hall sensor. H = 1 / ne, where n is the number of free electrons per unit volume of the metal conductor of the Hall sensor, and e is the charge of the electron;

[0083] I represents the current passing through the Hall sensor, in mA; B represents the magnetic induction intensity of the iron ore pile, in T.

[0084] b represents the width of the Hall sensor, in mm.

[0085] Computer processing unit 4 inputs the calculated magnetic induction intensity B of the iron ore pile into the correlation model and outputs the content of magnetic iron ore in the iron ore pile. Finally, the average value of the five sets of data is taken to obtain the real-time data of the content of magnetic iron ore in the iron ore pile on conveyor belt 1.

[0086] This invention utilizes the principles of magnetization, Hall effect, and machine learning algorithms to determine the content of magnetite, and outputs and displays the calculation results in real time. It enables instant detection of the magnetic iron ore content in the iron ore pile on conveyor belt 1.

[0087] Example 1

[0088] This embodiment uses a section of crushed product from an iron ore beneficiation plant. The width of the conveyor belt 1 for the section of crushed product is 0.9m. A magnetic field combing component 2 is installed and fixed below the beginning of the conveyor belt 1. The permanent magnet material of the magnetic field combing component 2 is neodymium iron boron, and its maximum magnetic energy product is 30MGOe. Its length and width are 1.5m and 0.85m respectively, and it is 0.2m away from the bottom of the upper conveyor belt 1.

[0089] A magnetic field detection component 3 is installed 0.5m directly above the end of the conveyor belt 1. This component 3 is equipped with five Hall sensors P103 connected in series. Each Hall sensor P103 has a length, width, and height of 150mm, 100mm, and 5mm, respectively. Five miniature voltmeters P104 are used to detect the Hall voltage generated on both sides of each Hall sensor P103. The voltage readings are transmitted to the computer processing unit 4 for processing via a voltage data output device P105. The horizontal distance between the magnetic field combing component 2 and the magnetic field detection component 3 is 6m.

[0090] Five iron ore stockpiles were randomly selected from conveyor belt 1, and the magnetite content of each stockpil was detected using the method for real-time detection of magnetite content during iron ore conveyor belt transportation provided by this invention. After the detection was completed, the five iron ore stockpiles were reduced to smaller samples and their true magnetic iron ore content was analyzed. The test results are shown in the table below:

[0091]

[0092] According to the calculation results, the magnetic induction intensity values ​​measured in the five iron ore piles are between 0.10 and 0.13T. The actual content and the detected content of magnetic iron ore are both around 25%, and the error between the two is 1.02%, which is less than 5%. This proves that the measurement accuracy of the present invention is qualified and can meet the on-site ore blending requirements.

[0093] The following points need to be explained:

[0094] (1) The accompanying drawings of the embodiments of the present invention only involve the structures involved in the embodiments of the present invention. Other structures can refer to the general design.

[0095] (2) For clarity, the thickness of layers or regions is enlarged or reduced in the drawings used to describe embodiments of the present invention; that is, these drawings are not drawn to actual scale. It is understood that when an element such as a layer, film, region, or substrate is referred to as being “above” or “below” another element, the element may be “directly” located “above” or “below” the other element, or there may be intermediate elements.

[0096] (3) Where there is no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0097] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. The scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A device for real-time detection of magnetite content during iron ore conveyor belt transportation, characterized in that, The device includes: A conveyor belt assembly, comprising a conveyor belt, for transporting iron ore stockpiles during the production process; The magnetic field sorting component arranged below the conveyor belt is used to sort the magnetic field of the iron ore pile, unify the magnetic field direction of the magnetic iron ore in the iron ore pile, and enhance the magnetic induction intensity of the iron ore pile. A magnetic field detection component arranged above the conveyor belt is used to detect the magnitude of the magnetic induction intensity of the iron ore pile. A computer processing unit, connected to the magnetic field detection component, calculates the content of magnetic iron ore in the iron ore pile by utilizing the correlation between the magnetic induction intensity of the iron ore pile and the content of magnetic iron ore. The magnetic field detection component includes: an array of multiple Hall sensors connected in series; Each Hall sensor is connected to a miniature voltmeter, and multiple miniature voltmeters are connected to a voltage data output device; the voltage data output device is connected to the computer processing unit. The multiple Hall sensors connected in series are connected to an external power supply via an external power interface; The computer processing unit establishes a correlation model between the magnetic induction intensity of the iron ore pile and the content of magnetic iron ore through machine learning. The computer processing unit collects the Hall voltage output by the voltage data output device and calculates the magnetic induction intensity of the iron ore pile. The computer processing unit inputs the calculated magnetic induction intensity of the iron ore pile into the correlation model and outputs the magnetic iron ore content in the iron ore pile. The computer processing unit calculates the magnetic induction intensity of the iron ore pile using the following method: ； Among them, V H R is the Hall voltage, in mV; H R is the Hall coefficient of the Hall sensor, which is determined by the metallic conductor properties of the Hall sensor. H = 1 / ne, where n is the number of free electrons per unit volume of the metal conductor of the Hall sensor, and e is the charge of the electron; I represents the current passing through the Hall sensor, in mA; B represents the magnetic induction intensity of the iron ore pile, in T; and b represents the width of the Hall sensor, in mm.

2. The apparatus according to claim 1, characterized in that, The magnetic field combing component includes a permanent magnet material and a non-magnetic material support; The distance between the permanent magnet material and the bottom of the iron ore pile transported by the conveyor belt is 0.2m; the length of the permanent magnet material is 1.5m.

3. The apparatus according to claim 2, characterized in that, The permanent magnet material is neodymium iron boron.

4. The apparatus according to claim 1, characterized in that, The vertical distance between the magnetic field detection component and the edge of the transport tape is 0.5m; The horizontal distance between the magnetic field detection component and the magnetic field combing component is 6m.

5. The apparatus according to claim 1, characterized in that, The distance d between two adjacent Hall sensors is ≤20mm.

6. A method for real-time detection of magnetite content during iron ore conveyor belt transportation, characterized in that, The method includes: A correlation model between the magnetic induction intensity of iron ore piles and the content of magnetic iron ore was established using machine learning. The Hall voltage output by the voltage data output device is collected, and the magnetic induction intensity of the iron ore pile is calculated. The calculated magnetic induction intensity of the iron ore pile is input into the correlation model, and the magnetic iron ore content in the iron ore pile is output. The magnetic induction intensity of the iron ore pile is calculated using the following method: ； Among them, V H R is the Hall voltage, in mV; H R is the Hall coefficient of the Hall sensor, which is determined by the metallic conductor properties of the Hall sensor. H = 1 / ne, where n is the number of free electrons per unit volume of the metal conductor of the Hall sensor, and e is the charge of the electron; I represents the current passing through the Hall sensor, in mA; B represents the magnetic induction intensity of the iron ore pile, in T. b represents the width of the Hall sensor, in mm.

Images