Tailings sand compounding method and device, intelligent control platform and intelligent compounding system

Abstract

The application relates to the technical field of building materials, in particular to a tailing sand compounding method and device, an intelligent control platform and an intelligent compounding system. The method comprises the following steps: obtaining basic data of an initial tailing material; calculating, by using a compounding model, based on the basic data of the initial tailing material and preset basic data of a compounded tailing sand, to obtain compounding data; matching, in a preset tailing resource attribute database, a compounded material corresponding to the compounding data; and controlling the initial tailing material to be mixed with the compounded material to obtain a compounded tailing sand; wherein the type of the basic data comprises granularity distribution data, quality distribution data or morphological distribution data, and the basic data of the initial tailing material and the basic data of the preset compounded tailing sand are distribution data of the same type. The application aims to solve the problems of discontinuous fineness and large quality fluctuation of existing tailing sand products.

Description

Technical Field

[0001] This invention relates to the field of building materials technology, and in particular to a tailings sand blending method, apparatus, intelligent control platform and intelligent blending system. Background Technology

[0002] Construction sand can be made from tailings. Existing tailings are solid wastes discharged after ore mining and beneficiation. Tailings have large discharge volumes, fluctuating composition, and are difficult to utilize, resulting in tailings occupying a large amount of land resources, polluting the environment, and posing certain safety hazards.

[0003] Currently, due to differences in mineral processing technology and the inherent resource properties of tailings, the tailings sand production process is prone to sudden disturbances and significant fluctuations in fineness, easily leading to discontinuous fineness and hindering the stability and particle size distribution control of the tailings sand products. Furthermore, compared to natural pebbles, tailings exhibit greater fluctuations in chemical composition and physical properties, with higher mud and dust content, directly impacting the quality stability of tailings sand products. Summary of the Invention

[0004] This invention provides a tailings sand blending method, apparatus, intelligent control platform, and intelligent blending system to solve the problems of discontinuous fineness and large quality fluctuations in existing tailings sand products.

[0005] This invention provides a tailings sand blending method, comprising:

[0006] Obtain basic data for the initial tailings material;

[0007] Based on the initial tailings material data and the preset composite tailings sand data, the composite data is calculated using the composite model.

[0008] In the preset tailings resource attribute database, the compound materials corresponding to the compound data are matched;

[0009] The initial tailings material is controlled to be mixed with the compound material to obtain compound tailings sand;

[0010] The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

[0011] According to the tailings sand blending method provided by the present invention, the blending model includes a calculation model that uses fineness modulus, densest packing curve or discrete particle size distribution curve to characterize particle size distribution.

[0012] According to the tailings sand blending method provided by the present invention, the calculation model includes the Dinger-Funk model, wherein the preset range of the distribution modulus in the Dinger-Funk model is 0.25-0.47.

[0013] According to the tailings sand blending method provided by the present invention, the step of matching the blending materials corresponding to the blending data in a preset tailings resource attribute database includes:

[0014] Based on the compound data, the type of compound material is obtained using a preset tailings resource attribute database;

[0015] If there are multiple types of compound materials, obtain the bulk density of each compound material and the initial bulk density of the tailings material;

[0016] The mass correction parameters are obtained based on the bulk density of the compound material and the initial bulk density of the tailings material.

[0017] Based on the basic data of the preset compound tailings sand, the basic data of the initial tailings material, the quality correction parameters, and the basic data of each compound material, the mass percentage of each compound material is obtained using the mass percentage algorithm.

[0018] Based on the mass percentage of each compound material, the various compound materials are mixed to obtain the compound material.

[0019] The present invention also provides a tailings sand blending device, comprising:

[0020] The acquisition module is used to acquire basic data of the initial tailings material;

[0021] The calculation module is used to calculate the compound data based on the basic data of the initial tailings material and the basic data of the preset compound tailings sand using the compound model.

[0022] The matching module is used to match the compounded materials corresponding to the compounded data in a preset tailings resource attribute database.

[0023] The control module is used to control the mixing of the initial tailings material and the compound material to obtain compound tailings sand;

[0024] The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

[0025] The present invention also provides an intelligent control platform, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the tailings sand blending method described above.

[0026] The present invention also provides an intelligent tailings sand blending system, comprising: a blending silo, a first belt conveyor, a second belt conveyor, monitoring equipment, and the aforementioned intelligent control platform;

[0027] The compound material silo contains different types of compound materials;

[0028] The first belt conveyor is installed at the outlet end of the compound material silo, and a belt scale is installed on the first belt conveyor for weighing the mass of the compound material.

[0029] The second belt conveyor is installed at the bottom end of the first belt conveyor and is used to transport the initial tailings and the compound material conveyed by the first belt conveyor.

[0030] The monitoring equipment is installed at the front end of the second belt conveyor in the transport direction to detect the initial tailings material in order to obtain the basic data of the initial tailings material.

[0031] The intelligent control platform is communicatively connected to the monitoring equipment and the compound material silo. It is used to determine the compound material based on the preset basic data of the compound tailings sand and the received basic data of the initial tailings material, and then send a feeding instruction to the compound material silo containing the compound material.

[0032] The present invention provides an intelligent tailings sand blending system, wherein multiple blending bins are provided, and each of the multiple blending bins is communicatively connected to the intelligent control platform, and each of the multiple blending bins contains different types of blended materials.

[0033] The present invention provides an intelligent tailings sand blending system, wherein the monitoring equipment includes a vibrating screen, an ultrasonic vibrating screen, or an image analysis device.

[0034] The present invention provides an intelligent tailings sand blending system, wherein multiple monitoring devices are provided, and the multiple monitoring devices are installed sequentially along the transport direction of the second belt conveyor.

[0035] This invention provides a tailings sand blending method, apparatus, intelligent control platform, and intelligent blending system. The tailings sand blending method calculates blending data using a blending model based on preset basic data for blended tailings sand and basic data for initial tailings materials. Then, it matches blending materials using a preset tailings resource attribute database. Finally, by mixing the initial tailings materials and the blending materials, blended tailings sand is obtained. This results in more consistent fineness and less quality fluctuation in the blended tailings sand, thereby improving the quality of tailings sand production. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0037] Figure 1 This is a schematic flowchart of the tailings sand compounding method provided by the present invention.

[0038] Figure 2 This is a schematic diagram of the tailings sand compounding device provided by the present invention.

[0039] Figure 3 This is a schematic diagram of the intelligent control platform provided by the present invention.

[0040] Figure 4 This is a schematic diagram of the intelligent tailings sand blending system provided by the present invention.

[0041] Figure label:

[0042] Compound material silo 410, first belt conveyor 420, second belt conveyor 430, monitoring equipment 440, intelligent control platform 450. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this 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 this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0044] The following is combined with Figure 1 A tailings sand blending method according to the present invention includes:

[0045] S1. Obtain basic data of the initial tailings material. In this embodiment, the type of basic data of the initial tailings material is selected as particle size distribution data. Of course, particle size distribution data can also be replaced by mass distribution data or morphology distribution data.

[0046] The basic data of the initial tailings material can be obtained through monitoring using common monitoring equipment such as vibrating screens, ultrasonic vibrating screens, or image analysis devices, thus making it easier to obtain the basic data of the initial tailings material. Specifically, the initial tailings material refers to the initial tailings sand or materials smaller than 5mm obtained after crushing.

[0047] S2. Based on the initial tailings material's basic data and the preset compound tailings sand's basic data, the compounding model is used to calculate and obtain the compounding data. In this embodiment, the type of the preset compound tailings sand's basic data is also particle size distribution data. Specifically, the data includes the particle size range and mass data of the compounded materials.

[0048] S3. In a preset tailings resource attribute database, match the compound material corresponding to the compounding data. In this embodiment, the preset tailings resource attribute database contains relevant data on tailings sand of various types and locations; at the same time, the preset tailings resource attribute database also includes data on other compound materials that can be used for sand making in the local area. This data can be obtained through self-testing or from research reports. Specifically, based on the particle size range and mass of the compound material, match the type of the required compound material from the tailings resource attributes built into the preset tailings resource attribute database, thereby obtaining the compound material.

[0049] S4. Control the initial tailings material to mix with the compound material to obtain compound tailings sand.

[0050] The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

[0051] This invention uses the basic data of pre-set compound tailings sand and the basic data of the initial tailings material to calculate the compound data (particle size distribution data of the compound materials) through a compound model. Then, based on the compound data, the compound materials are selected through a pre-set tailings resource attribute database. After mixing the initial tailings material and the compound materials, compound tailings sand is obtained. This results in more continuous fineness and smaller quality fluctuations in the compound tailings sand, thereby improving the quality of the compound tailings sand and making its quality more stable.

[0052] Based on the above embodiments, the compound model includes a calculation model that uses fineness modulus, densest packing curve, or discrete particle size distribution curve to characterize particle size distribution.

[0053] Specifically, the calculation model includes the Dinger-Funk model, which can calculate the compounding data of the required compounding materials (particle size range and mass of the compounding materials). See equation (1).

[0054]

[0055] Where D is the particle size of the compound material, in millimeters (mm); f(D) is the preset particle size distribution; n is the distribution modulus, which is a comprehensive parameter closely related to the sieve aperture ratio of two adjacent sieves, the particle size ratio of two adjacent sieves, and the particle shape in the monitoring equipment; D L and D S These are the maximum and minimum particle sizes of the initial tailings material, respectively, in millimeters (mm).

[0056] The preferred range for the distribution modulus n in the Dinger-Funk model is 0.25-0.47. This is to facilitate the generation of better blending data, resulting in more stable quality of the blended tailings sand after mixing the blended materials selected based on the blending data with the initial tailings material.

[0057] Example 1: A batch of initial tailings was tested. The maximum particle size of the initial tailings was 4.7 mm, and the minimum particle size was 0.07 mm. Using the Dinger-Funk model, different distribution moduli (n) and preset particle size distribution data of the blended tailings were obtained to determine the particle size range and mass of the material to be blended. The particle size distribution of the blended tailings after blending the initial tailings and the blended material is shown in Table 1. Taking a distribution moduli of n = 0.25 as an example, preset particle sizes of 4.75 mm, 2.36 mm, 1.18 mm, 0.6 mm, and 0.3 mm were selected. The preset particle sizes were calculated using the Dinger-Funk model. The particle size distribution shows that the mass percentage of particles with a diameter of 0.3mm is 23.56%, the mass percentage of particles with a diameter of 0.6mm is 38.18%, the mass percentage of particles with a diameter of 1.18mm is 55.10%, the mass percentage of particles with a diameter of 2.36mm is 75.68%, and the mass percentage of particles with a diameter of 4.75mm is 100%. Then, the initial tailings sand particle size distribution data is obtained, and the required compound materials (including particle size mass percentage) are calculated: 7% for 4.75-2.36mm materials; 5% for 2.36-1.18mm materials; and 5% for 1.18-0.6mm materials.

[0058] Table 1 Particle size distribution of compound tailings sand

[0059]

[0060] Example 2: A batch of initial tailings sand was tested. The maximum particle size of the initial tailings sand was 4.1 mm, and the minimum particle size was 0.03 mm. Using the Dinger-Funk model, different n values ​​were used to obtain the preset particle size distribution. The particle size distribution data of the preset compound tailings sand with different distribution moduli n were obtained to obtain the particle size range and mass of the material to be compounded. The particle size distribution of the compound tailings sand after the initial tailings sand and the compounded material were compounded is shown in Table 2.

[0061] Table 1-2 Particle size distribution of compound tailings sand

[0062]

[0063]

[0064] Based on the above embodiments, the present invention matches the compounded materials corresponding to the compounded data in a preset tailings resource attribute database, including:

[0065] Based on the compound data, the type of compound material is obtained using a preset tailings resource attribute database.

[0066] If there are multiple types of compound materials, obtain the bulk density of each compound material and the initial bulk density of the tailings material.

[0067] The mass correction parameters are obtained based on the bulk density of the compound material and the bulk density of the initial tailings material.

[0068] Based on the basic data of the preset compound tailings sand, the basic data of the initial tailings material, the quality correction parameters, and the basic data of each compound material, the mass percentage of each compound material is obtained using the mass percentage algorithm.

[0069] Based on the mass percentage of each compound material, the various compound materials are mixed to obtain the compound material.

[0070] Specifically, the algorithm for the quality ratio is shown in equation (2):

[0071] kD(d ii )-B(b ii )=M(m ii )×N(n ii )×A(γ ii (2);

[0072] Where k is the amplification factor, preferably between 1 and 3, to ensure the magnification of matrix D(d ii The corresponding element in ) is not less than matrix B(b) ii The corresponding elements in matrix D(d) ii) represents the preset target particle size distribution data (preset basic data of compound tailings sand) in the intelligent control platform, matrix B(b) ii The matrix M(m) represents the particle size distribution data of the tailings material measured by the monitoring system (the basic data of the initial tailings material). ii The matrix N(n) refers to the mass percentage of each compound material added. ii ) represents the particle size distribution data of each compound material (the basic data for each compound material), matrix A(γ) ii The parameter is the quality correction parameter. By determining the mass percentage of each compound material added, the amount of initial tailings material added to each compound material can be identified.

[0073] The tailings sand blending device provided by the present invention is described below. The tailings sand blending device described below and the tailings sand blending method described above can be referred to in correspondence.

[0074] Please refer to the following: Figure 2 A tailings sand blending device includes an acquisition module 210, a calculation module 220, a matching module 230, and a control module 240.

[0075] The acquisition module 210 is used to acquire basic data of the initial tailings material.

[0076] The calculation module 220 is used to calculate the compound data based on the basic data of the initial tailings material and the basic data of the preset compound tailings sand using the compound model.

[0077] The matching module 230 is used to match the compound materials corresponding to the compound data in a preset tailings resource attribute database.

[0078] The control module 240 is used to control the mixing of the initial tailings material and the compound material to obtain compound tailings sand.

[0079] The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

[0080] Meanwhile, the compounding model includes a computational model that uses fineness modulus, densest packing curve, or discrete particle size distribution curve to characterize particle size distribution. The computational model includes the Dinger-Funk model, where the preset range of the distribution modulus is 0.25-0.47.

[0081] Specifically, the matching module 230 is used to match the compounded materials corresponding to the compounded data in a preset tailings resource attribute database, including:

[0082] In a pre-defined tailings resource attribute database, the compound materials corresponding to the compound data are matched, including:

[0083] Based on the compound data, the type of compound material is obtained using a preset tailings resource attribute database;

[0084] If there are multiple types of compound materials, obtain the bulk density of each compound material and the initial bulk density of the tailings material;

[0085] The mass correction parameters are obtained based on the bulk density of the compound material and the initial bulk density of the tailings material.

[0086] Based on the basic data of the preset compound tailings sand, the basic data of the initial tailings material, the quality correction parameters, and the basic data of each compound material, the mass percentage of each compound material is obtained using the mass percentage algorithm.

[0087] Based on the mass percentage of each compound material, the various compound materials are mixed to obtain the compound material.

[0088] This invention obtains basic data of initial tailings material through acquisition module 210, calculates compound data based on the basic data of initial tailings material and the basic data of preset compound tailings sand through calculation module 220, selects compound materials from preset tailings resource attribute database through matching module 230, and controls the mixing of initial tailings material and compound materials through control module 240 to obtain compound tailings sand. This results in more continuous fineness and smaller quality fluctuations in the compound tailings sand, thereby improving the quality of tailings sand production.

[0089] Figure 3 An example is a schematic diagram of the physical structure of an intelligent control platform, such as... Figure 3 As shown, the intelligent control platform may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. The processor 310, communication interface 320, and memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions from the memory 330 to execute a tailings sand blending method, which includes:

[0090] S1. Obtain basic data for initial tailings material.

[0091] S2. Based on the basic data of the initial tailings material and the basic data of the preset compound tailings sand, the compound model is used to calculate and obtain the compound data.

[0092] S3. In the preset tailings resource attribute database, match the compound materials corresponding to the compound data.

[0093] S4. Control the initial tailings material to mix with the compound material to obtain compound tailings sand.

[0094] The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

[0095] The compounding model includes a computational model that uses fineness modulus, densest packing curve, or discrete particle size distribution curve to characterize particle size distribution.

[0096] The calculation model includes the Dinger-Funk model, in which the preset range of the distribution modulus is 0.25-0.47.

[0097] Specifically, in a pre-defined tailings resource attribute database, the compound materials corresponding to the compound data are matched, including:

[0098] Based on the compound data, the type of compound material is obtained using a preset tailings resource attribute database.

[0099] If there are multiple types of compound materials, obtain the bulk density of each compound material and the initial bulk density of the tailings material.

[0100] The mass correction parameters are obtained based on the bulk density of the compound material and the bulk density of the initial tailings material.

[0101] Based on the basic data of the preset compound tailings sand, the basic data of the initial tailings material, the quality correction parameters, and the basic data of each compound material, the mass percentage of each compound material is obtained using the mass percentage algorithm.

[0102] Based on the mass percentage of each compound material, the various compound materials are mixed to obtain the compound material.

[0103] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, 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 a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0104] Please refer to the following: Figure 4 The present invention also provides a tailings sand intelligent compounding system, including: compounding silo 410, first belt conveyor 420, second belt conveyor 430, monitoring equipment 440 and the above-mentioned intelligent control platform 450.

[0105] The compounding silo 410 contains different types of compounded materials. Compounded materials include easily obtainable materials such as single-grained tailings sand or desert sand.

[0106] The first belt conveyor 420 is installed at the outlet end of the compound material silo 410. A belt scale is installed on the first belt conveyor 420, which is used to weigh the mass of the compound material.

[0107] The second belt conveyor 430 is installed at the bottom end of the first belt conveyor 420 and is used to transport the initial tailings and the compound material conveyed by the first belt conveyor 420. The first belt conveyor 420 transports the compound material to the second belt conveyor 430, so that the compound material falls into the initial tailings.

[0108] The monitoring device 440 is installed at the front end of the second belt conveyor 430 in the transport direction to detect the initial tailings material and obtain basic data of the initial tailings material. In this embodiment, the monitoring device 440 includes a vibrating screen, an ultrasonic vibrating screen, or an image analysis device. The basic data of the initial tailings material is monitored by the monitoring device 440. Simultaneously, the monitoring cycle can be adjusted autonomously according to the site conditions. For example, if the transmission speed of the second belt conveyor 430 is 2.5 m / s and the length of the second belt conveyor 430 is 150 m, and if the detection efficiency of the monitoring device 440 can reach 30 s / time, then the detection cycle can be set to 30 s or 60 s.

[0109] The intelligent control platform 450 is communicatively connected to the monitoring device 440 and the compound material silo 410, that is, the intelligent control platform 450 communicates with the monitoring device 440 and the compound material silo 410 through a communication interface. The intelligent control platform 450 is used to determine the compound material based on preset basic data of the compound tailings sand and the received basic data of the initial tailings material, and then send a feeding command to the compound material silo 410 containing the compound material.

[0110] Based on the above embodiments, multiple compound material bins 410 are provided, and each of the multiple compound material bins 410 is communicatively connected to the intelligent control platform 450. Each of the multiple compound material bins 410 contains different types of compound materials. Specifically, there are six compound material bins 410, and each of the six compound material bins 410 is communicatively connected to the intelligent control platform 450.

[0111] The monitoring device 440 is provided in multiple units, and each monitoring device 440 is installed along the transport direction of the second belt conveyor 430. For example, three monitoring devices 440 are provided, arranged from left to right along the transport direction of the second belt conveyor 430. The multiple monitoring devices 440 work together in a coordinated and cyclical manner to overcome the limitations of intermittent monitoring by a single monitoring device 440, achieving continuous online detection within a certain period, ensuring real-time data updates, and improving monitoring accuracy.

[0112] This invention monitors the initial tailings material on the second belt conveyor 430 using monitoring device 440. The intelligent control platform 450 then calculates the compounding data based on the initial tailings material's basic data and the preset compound tailings sand's basic data using a compounding model. Simultaneously, the system matches the compounding material corresponding to the compounding data in a preset tailings resource attribute database, enabling material selection. After selection, a discharge command is sent to the compounding silo 410 containing the material. The silo 410 discharges the material, and a belt scale weighs the discharged material to ensure accurate quality. Simultaneously, the first belt conveyor 420 transports the discharged material onto the second belt conveyor 430, allowing the initial tailings material and the compounding material to mix, resulting in compound tailings sand. This results in more consistent fineness and less quality fluctuation in the compound tailings sand, thus improving the quality of tailings sand production.

[0113] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being able to be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer being able to execute the tailings sand blending method provided by the above methods, the method comprising:

[0114] S1. Obtain basic data for initial tailings material.

[0115] S2. Based on the basic data of the initial tailings material and the basic data of the preset compound tailings sand, the compound model is used to calculate and obtain the compound data.

[0116] S3. In the preset tailings resource attribute database, match the compound materials corresponding to the compound data.

[0117] S4. Control the initial tailings material to mix with the compound material to obtain compound tailings sand.

[0118] The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

[0119] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the tailings sand blending method provided by the methods described above, the method comprising:

[0120] S1. Obtain basic data for initial tailings material.

[0121] S2. Based on the basic data of the initial tailings material and the basic data of the preset compound tailings sand, the compound model is used to calculate and obtain the compound data.

[0122] S3. In the preset tailings resource attribute database, match the compound materials corresponding to the compound data.

[0123] S4. Control the initial tailings material to mix with the compound material to obtain compound tailings sand.

[0124] The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

[0125] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0126] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for compounding tailings sand, characterized in that, include: Obtain basic data for the initial tailings material; Based on the initial tailings material data and the preset composite tailings sand data, the composite data is calculated using the composite model. In a pre-defined tailings resource attribute database, the bulk density of the compound material corresponding to the compound data is corrected based on the bulk density of the initial tailings material, and the mass ratio of the compound material is determined using a mass ratio algorithm to match the compound material. The initial tailings material is controlled to be mixed with the compound material to obtain compound tailings sand; The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

2. The tailings sand blending method according to claim 1, characterized in that, The compounding model includes a computational model that uses fineness modulus, densest packing curve, or discrete particle size distribution curve to characterize particle size distribution.

3. The tailings sand compounding method according to claim 2, characterized in that, The calculation model includes the Dinger-Funk model, in which the preset range of the distribution modulus is 0.25-0.

47.

4. The tailings sand compounding method according to any one of claims 1 to 3, characterized in that, The process of mass correction based on the bulk density of the compounded material corresponding to the compounded data and the bulk density of the initial tailings material, and determining the mass proportion of the compounded material using a mass proportion algorithm to match the compounded material, includes: Based on the compound data, the type of compound material is obtained using a preset tailings resource attribute database; If there are multiple types of compound materials, obtain the bulk density of each compound material and the initial bulk density of the tailings material; The mass correction parameters are obtained based on the bulk density of the compound material and the initial bulk density of the tailings material. Based on the basic data of the preset compound tailings sand, the basic data of the initial tailings material, the quality correction parameters, and the basic data of each compound material, the mass percentage of each compound material is obtained using the mass percentage algorithm. Based on the mass percentage of each compound material, the various compound materials are mixed to obtain the compound material.

5. A tailings sand blending device, characterized in that, include: The acquisition module is used to acquire basic data of the initial tailings material; The calculation module is used to calculate the compound data based on the basic data of the initial tailings material and the basic data of the preset compound tailings sand using the compound model. The matching module is used to perform mass correction based on the bulk density of the compound material corresponding to the compound data and the bulk density of the initial tailings material in a preset tailings resource attribute database, and to determine the mass ratio of the compound material using a mass ratio algorithm, so as to match the compound material. The control module is used to control the mixing of the initial tailings material and the compound material to obtain compound tailings sand; The basic data includes particle size distribution data, mass distribution data, or morphological distribution data. The basic data of the initial tailings material and the basic data of the preset compound tailings sand are of the same type of distribution data.

6. An intelligent control platform, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the tailings sand blending method as described in any one of claims 1 to 4.

7. A tailings sand intelligent blending system, characterized in that, include: The compounding silo, the first belt conveyor, the second belt conveyor, the monitoring equipment, and the intelligent control platform as described in claim 6; The compound material silo contains different types of compound materials; The first belt conveyor is installed at the outlet end of the compound material silo, and a belt scale is installed on the first belt conveyor for weighing the mass of the compound material. The second belt conveyor is installed at the bottom end of the first belt conveyor and is used to transport the initial tailings and the compound material conveyed by the first belt conveyor. The monitoring equipment is installed at the front end of the second belt conveyor in the transport direction to detect the initial tailings material in order to obtain the basic data of the initial tailings material. The intelligent control platform is communicatively connected to the monitoring equipment and the compound material silo. It is used to determine the compound material based on the preset basic data of the compound tailings sand and the received basic data of the initial tailings material, and then send a feeding instruction to the compound material silo containing the compound material.

8. The intelligent tailings sand blending system according to claim 7, characterized in that, The compound material bins are provided in multiple ways, and each compound material bin is connected to the intelligent control platform. Each compound material bin contains different types of compound materials.

9. The intelligent tailings sand blending system according to claim 7, characterized in that, The monitoring equipment includes a vibrating screen, an ultrasonic vibrating screen, or an image analysis device.

10. The intelligent tailings sand blending system according to claim 9, characterized in that, The monitoring equipment is provided in multiple units, and the multiple monitoring devices are installed sequentially along the transport direction of the second belt conveyor.

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