Storage yard dust treatment system for ore storage yard
Through the combination of the dust recovery judgment module and the treatment module, an appropriate treatment plan is set up, which solves the problems of insufficient dust identification accuracy and spraying effect in the existing technology, and achieves efficient dust treatment and recycling, reducing costs.
Patent Information
- Application Number
- CN202411431431.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-14
- Publication Date
- 2025-01-10
AI Technical Summary
The existing yard dust control system has shortcomings in dust identification accuracy, spraying effect and recycling costs, and cannot properly manage it according to the specific nature of the dust, resulting in increased costs and waste of resources.
Using dust recovery judgment module and treatment module, by collecting basic dust data, judging the type of treatment and setting up wet or dry treatment plans, combining dust-proof early warning modules, collecting and analyzing treatment data, selecting appropriate detergents and dust removal methods, and stopping in time Spray to reduce costs.
It improves the accuracy and treatment effect of dust recognition, reduces the cost of treatment, reduces the waste of detergents and resources, and optimizes the dust recycling process.
Smart Images
Figure CN119295250A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of dust control, and in particular to a dust control system for an ore yard. Background Art
[0002] With the acceleration of industrialization, the demand for ore is increasing, and environmental awareness is also increasing. Therefore, the dust pollution problem in ore yards has received increasing attention. Dust not only pollutes the environment, but also affects the health and production efficiency of workers, and may even cause safety accidents such as fire and explosion. Therefore, the development and application of efficient yard dust control systems has become a top priority.
[0003] Prior art, such as the invention patent application with announcement number CN114358039A, discloses a yard dust control system, including a camera module, an execution module, a splicing module, a noise filtering module, a background extraction module, a contour recognition module, a new dust positioning module, a diffuse dust positioning module, and a control module; the system periodically obtains a plane image in the yard, and performs noise filtering to obtain a real plane image; then identifies the contours of non-dust objects in the yard based on the background plane image; performs differential operation on the real plane image to obtain the new dust positioning information at each sampling moment in the yard; obtains the diffuse dust positioning information in the yard based on the grayscale gradient of the real plane image; controls the operation of the spraying device to complete the yard dust control. The yard dust control is completed effectively and quickly. After adopting this control method, there is no need to densely arrange a large number of dust concentration monitors in the yard, which reduces the investment cost and maintenance cost, and also has little impact on the movement of vehicles and personnel operations in yards and operations.
[0004] The above scheme has at least the following shortcomings: 1. The above scheme only collects dust information through image recognition technology, which is easily affected by other environmental factors. For example, light or dust accumulation will affect the image grayscale, thereby reducing the effectiveness of the analysis results. The above scheme does not collect the particle size, density and type of dust, and cannot comprehensively analyze the properties of dust, thereby reducing the accuracy of dust identification.
[0005] 2. The above scheme only controls the operation of the spraying device. On the one hand, the above scheme does not analyze the specific properties of the dust, such as type, particle size and density, and cannot obtain the detergent, washing method, spraying amount and spraying pressure suitable for spraying, resulting in a reduction in the spraying effect and an increase in the spraying cost. On the other hand, the above scheme does not take into account the situation of dust recovery. If the dust needs to be recovered, a spraying device will be used, which will produce wastewater, increase the recovery cost, and cause a waste of resources.
[0006] 3. On the one hand, the above scheme did not analyze the properties of the dust during the spraying process, and could not stop the spraying in time, resulting in a waste of detergent and increased spraying costs. On the other hand, the above scheme only carried out dust removal control, and did not analyze the dust prevention of the dust based on the frequency and duration of dust removal, which increased the frequency of dust removal and the cost of dust removal. Summary of the invention
[0007] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a dust control system for an ore yard.
[0008] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a dust control system for an ore stockpile, comprising the following modules: a dust recovery judgment module, which is used to collect basic dust data, analyze the basic dust data based on a recoverability model, and judge the type of stockpile control. If the stockpile control type is direct control, the direct control data is obtained from the basic dust data, and a wet control plan is set according to the direct control data. If the stockpile control type is recovery control, the recovery control data is obtained from the basic dust data, and a dry recovery plan is set according to the recovery control data, so as to obtain the stockpile control plan.
[0009] The yard dust control module is used to collect actual dust control data during the process of controlling the dust according to the yard control plan, analyze the actual dust control data based on the control index model, and determine whether to continue the control.
[0010] The yard dust prevention warning module is used to collect yard management data, analyze the yard management data based on the yard dust prevention model, and determine whether the yard needs to be treated with dust prevention. If the yard needs dust prevention treatment, the staff will be prompted.
[0011] Preferably, the wet treatment scheme is set up, and the specific setting process is as follows: the types of dust in the dust basic data are counted to obtain the number of types of dust in the yard. If the number of types of dust in the yard is 1, this type of dust is recorded as the characteristic dust of the yard. If the number of types of dust in the yard is greater than 1, each sampling area is merged according to the type of each dust to obtain various types of dust areas, and the basic dust data of each type of dust area are counted to obtain the number of areas of each type of dust, the particle size of each area and the density of each area. The average particle size of each area of each dust type is calculated to obtain the average particle size of each type of dust. The average density of each area of each type of dust is calculated to obtain the average density of each type of dust. The number of sampling areas, the average particle size and the average density of each type of dust are substituted into the dust value index calculation formula The value index β of class B dust is obtained b, b is the number of the dust type, b=1,2......n, n is the maximum value of the number of the dust type, n>2, A b ,φ b and ρ b are the number of sampling areas for class B dust, the average particle size of class B dust and the average density of class B dust, respectively. A′ is the preset number of standard sampling areas. λ1, λ2 and λ3 are the weight factors of the number of sampling areas, the weight factor of the average particle size and the weight factor of the average density, respectively. λ1>0, λ2>0, λ3>0, λ1+λ2+λ3=1. The dust type with the largest value index is recorded as the type of characteristic dust of the yard, and then the average particle size and average density of the characteristic dust of the yard are obtained.
[0012] The number of times each detergent is used corresponding to the type and average particle size of characteristic dust is obtained from the database, and the detergent with the most uses is selected as the preset detergent for wet treatment. The number of times each washing method is used corresponding to the average particle size and average density of characteristic dust is obtained from the database, and the washing method with the most uses is selected as the preset washing method for wet treatment. According to the analysis method of the preset washing method, the preset detergent spray amount and preset detergent spray pressure for wet treatment are obtained in the same way.
[0013] The wet treatment solution is: spraying a preset detergent in a preset washing method, and the spraying amount and spraying pressure are respectively the preset spraying amount and the preset spraying pressure.
[0014] Preferably, the dry recovery scheme is set up, and the specific setting process is as follows: the recovery efficiency, average particle size and average density of the characteristic dust in the yard are obtained from the dust basic data, and the average particle size and average density of the characteristic dust in the yard are input into the direct treatment model:
[0015] The output result γ of the direct governance model is obtained, and the output result includes a value of 0 or 1, where φ″ and ρ″ are the average particle size and average density of the characteristic dust in the yard, respectively, and P′ is the preset direct governance pollution index.
[0016] If the output result is 0, it indicates that direct treatment is required. The number of times each dust collector is used corresponding to the average particle size and average density of the characteristic dust in the yard is obtained from the database, and the dust collector with the most uses is selected as the preset dust collector for the dry recovery plan. The dry recovery plan is to remove dust through the preset dust collector.
[0017] If the output result is 1, it indicates that electrostatic recovery is required. The number of times each voltage is used corresponding to the type of characteristic dust in the yard and the average particle size is obtained from the database. The voltage with the most uses is selected as the preset voltage for electrostatic recovery. The dry recovery solution is to remove dust through an electrostatic precipitator with a preset voltage.
[0018] The beneficial effects of the present invention are: 1. The present invention first collects basic dust data through a dust recoverability judgment module, and judges the type of yard management based on a recoverability model, sets a dry recovery plan according to the type of yard management, and then performs yard management, and then collects actual dust management data during the management process, and judges whether to continue management based on this, and finally collects and analyzes the dust management data of each area. If dust prevention treatment is required, corresponding prompts will be issued to the staff. The present invention collects the type, particle size and density of dust in each sampling area through a sampler, and judges the type of dust management based on the dust data of each sampling area, thereby increasing the accuracy of the analysis results. At the same time, when judging whether to continue management, the management results are verified by collecting the grayscale of each pixel point of the image of each sampling area, thereby increasing the effectiveness of the analysis.
[0019] 2. The present invention determines the type of management of the storage yard through a recoverability model. If the type of management of the storage yard is direct management, a wet management plan is set. If the type of management of the storage yard is recycling management, a dry recovery plan is set. When the dust recovery effect is poor, a spraying device is used for direct management. When the dust recovery effect is good, a dry recovery plan is used to recover the dust. The dust management using a spraying device has a good dust removal effect, but the recovery cost is high. The recovery cost is reduced by setting a dry recovery plan. At the same time, the present invention reduces the dust management cost by setting specific management plans according to the properties of the dust, such as detergent, washing method, spraying amount and spraying pressure.
[0020] 3. In the process of dust control, the present invention collects the grayscale of each pixel point of the image of each sampling area and analyzes the control results. It can stop spraying in time when the control is completed, thereby reducing the control cost. At the same time, it records each time of control and determines whether it is necessary to strengthen dust prevention based on the control history records. When dust prevention is needed, it can promptly remind the staff, thereby increasing the control effect, reducing the number of dust removal times, and thus reducing the control cost. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0022] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION
[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0024] according to Figure 1 As shown, the present invention provides a stockpile dust control system for an ore stockpile, comprising the following modules: a dust recovery judgment module, a stockpile dust control module, a stockpile dust prevention warning module and a database.
[0025] The dust recovery judgment module is connected to the database and the yard dust control module respectively, and the yard dust prevention warning module is connected to the yard dust control module.
[0026] The dust recovery judgment module is used to collect basic dust data, analyze the basic dust data based on the recoverability model, and determine the type of yard management. If the yard management type is direct management, the direct management data is obtained from the basic dust data, and a wet management plan is set according to the direct management data. If the yard management type is recycling management, the recycling management data is obtained from the basic dust data, and a dry recycling plan is set according to the recycling management data, so as to obtain the yard management plan.
[0027] In a specific embodiment, the basic dust data is collected, and the specific collection conditions are as follows: the basic dust data includes the recovery efficiency, dust particle size and dust density of each sampling area. Samplers are set in the yard area, and circles are drawn with each sampler as the center and a preset length as the radius. The area inside the circle is each sampling area. Air samples are collected by the samplers in each sampling area, and then the air samples in each sampling area are analyzed by atomic absorption spectrometer, laser particle size analyzer and gas specific volume method to obtain the dust type, dust particle size and dust density of each sampling area, and the recovery efficiency of each dust type is obtained from the database, so as to obtain the recovery efficiency corresponding to the dust type in each sampling area.
[0028] It should be noted that the samplers include open samplers, closed samplers and electrostatic samplers, etc. The preset length is set by the staff, for example, 100 meters. The recovery efficiency refers to the ratio of recovery profit to recovery cost, for example, 2.3. The dust in a single sampling area is regarded as the same type of dust. During the mining process, there is a possibility of different dusts existing in the same yard. For example, the dust in the first sampling area is nickel powder, and the dust in the second sampling area is iron powder.
[0029] In a specific embodiment, the basic dust data is analyzed, and the specific analysis process is as follows: the basic dust data is input into the recoverability model to obtain an output result, and the output result includes a value of -1, 0 or 1. If the output result of the yard is -1, it indicates that the dust in the yard does not need to be controlled. If the output result of the yard is 0 or 1, it indicates that the dust in the yard needs to be controlled. Among them, if the output result of the yard is 0, it indicates that the recovery index of the dust in the yard is low, and direct control is adopted for dust control. If the output result of the yard is 1, it indicates that the recovery index of the dust in the yard is high, and recycling control is adopted for dust control.
[0030] It should be noted that direct treatment refers to direct dust removal without the need to recover the dust, while recovery treatment refers to dust removal and then dust recovery.
[0031] In a specific embodiment, the recyclability model expression is:
[0032]
[0033] Where α is the yard recyclability index, v a ,φ a and ρ a are the recovery efficiency, dust particle size and dust density of sampling area a, respectively. a is the sampling area number, a=1,2......m, m>2, v′, φ′ and ρ′ are the preset standard recovery efficiency, standard dust particle size and standard dust density, respectively. ε1 and ε2 are the preset weighting factor of dust particle size and the weighting factor of the first dust density, respectively. ε1>0, ε2>0, ε1+ε2=1, η1 and η2 are the preset weighting factor of recovery efficiency and the weighting factor of the second dust density, respectively. η1>0, η2>0, η1+η2=1, δ a is the weight factor of the sampling area a, δ a >0, P and Q are the standard contamination index and standard recovery index respectively.
[0034] It should be noted that the standard recovery efficiency, standard dust particle size and standard dust density are set by the staff. For example, the standard recovery efficiency is 0.7, the standard dust particle size is 5um and the standard dust density is 10mg / m 3 The weight factors are set by the staff, for example, the weight factor of dust particle size is 0.7 and the weight factor of the first dust density is 0.3, the weight factor of recovery efficiency is set by the staff, for example, the weight factor of recovery efficiency is 0.45 and the weight factor of the second dust density is 0.55, for example, the weight factor of sampling area a is 0.2, the standard pollution index and standard recovery index are set by the staff, for example, the standard pollution index is 0.7 and the standard recovery index is 0.4.
[0035] In a specific embodiment, the wet treatment scheme is set up, and the specific setting process is as follows: the dust types in the dust basic data are counted to obtain the number of dust types in the yard. If the number of dust types in the yard is 1, this type of dust is recorded as the characteristic dust of the yard. If the number of dust types in the yard is greater than 1, each sampling area is merged according to the type of each dust to obtain various dust areas, and the dust basic data of each dust area is counted to obtain the number of areas of each type of dust, the particle size of each area and the density of each area. The average particle size of each area of each dust type is calculated to obtain the average particle size of each type of dust. The average density of each area of each type of dust is calculated to obtain the average density of each type of dust. The number of sampling areas, the average particle size and the average density of each type of dust are substituted into the dust value index calculation formula The value index β of class B dust is obtained b , b is the number of the dust type, b=1,2......n, n is the maximum value of the number of the dust type, n>2, A b ,φ b and ρ b are the number of sampling areas for class B dust, the average particle size of class B dust and the average density of class B dust, respectively. A′ is the preset number of standard sampling areas. λ1, λ2 and λ3 are the weight factors of the number of sampling areas, the weight factor of the average particle size and the weight factor of the average density, respectively. λ1>0, λ2>0, λ3>0, λ1+λ2+λ3=1. The dust type with the largest value index is recorded as the type of characteristic dust of the yard, and then the average particle size and average density of the characteristic dust of the yard are obtained.
[0036] It should be noted that the number of standard sampling areas is set by the staff, for example 3, and the weight factors are set by the staff, for example, the weight factor of the number of sampling areas is 0.5, the weight factor of the average particle size is 0.3, and the weight factor of the average density is 0.2.
[0037] The number of times each detergent is used corresponding to the type and average particle size of characteristic dust is obtained from the database, and the detergent with the most uses is selected as the preset detergent for wet treatment. The number of times each washing method is used corresponding to the average particle size and average density of characteristic dust is obtained from the database, and the washing method with the most uses is selected as the preset washing method for wet treatment. According to the analysis method of the preset washing method, the preset detergent spray amount and preset detergent spray pressure for wet treatment are obtained in the same way.
[0038] It should be noted that the detergent is a solution with added surfactant, such as a 0.2% by mass petroleum sulfonate amine solution, and the washing methods include spraying, atomizing and water curtain, etc. The detergent spraying amount is, for example, 200 liters per minute, and the spraying pressure is, for example, 70 Newtons.
[0039] The wet treatment solution is: spraying a preset detergent in a preset washing method, and the spraying amount and spraying pressure are respectively the preset spraying amount and the preset spraying pressure.
[0040] In a specific embodiment, the dry recovery scheme is set up, and the specific setting process is as follows: the recovery efficiency, average particle size and average density of the characteristic dust in the yard are obtained from the dust basic data, and the average particle size and average density of the characteristic dust in the yard are input into the direct treatment model:
[0041] The output result γ of the direct governance model is obtained, and the output result includes a value of 0 or 1, where φ″ and ρ″ are the average particle size and average density of the characteristic dust in the yard, respectively, and P′ is the preset direct governance pollution index.
[0042] If the output result is 0, it indicates that direct treatment is required. The number of times each dust collector is used corresponding to the average particle size and average density of the characteristic dust in the yard is obtained from the database, and the dust collector with the most uses is selected as the preset dust collector for the dry recovery plan. The dry recovery plan is to remove dust through the preset dust collector.
[0043] If the output result is 1, it indicates that electrostatic recovery is required. The number of times each voltage is used corresponding to the type of characteristic dust in the yard and the average particle size is obtained from the database. The voltage with the most uses is selected as the preset voltage for electrostatic recovery. The dry recovery solution is to remove dust through an electrostatic precipitator with a preset voltage.
[0044] It should be noted that during the wet dust removal process, dust is discharged in a wet state, which increases the difficulty of dust recovery. The washing wastewater and sludge generated during the wet dust removal process require additional treatment, which increases the cost and complexity of recycling. Therefore, dry dust removal is used when recovering dust.
[0045] The yard dust control module is used to collect actual dust control data during the process of controlling the dust according to the yard control plan, analyze the actual dust control data based on the control index model, and determine whether to continue the control.
[0046] In a specific embodiment, the actual dust control data is collected, and the specific collection process is as follows: a camera is set at each sampler to collect images of each sampling area, and the grayscale of each pixel point of each sampling area is obtained from the image of each sampling area, so as to obtain the grayscale of each pixel point of each sampling area at present. ac , c is the pixel number, c = 1, 2...j, j> 2, and at the same time, the grayscale g′a′c of each pixel in each sampling area before the current governance is started is obtained from the database and substituted into the change rate calculation formula The grayscale change rate f of the grayscale of the c pixel in the current sampling area a is obtainedac , in order to obtain the actual dust control data.
[0047] In a specific embodiment, the judgment of whether to continue the control is as follows: the actual dust control data includes the grayscale of each pixel in each current sampling area and the grayscale change rate of each pixel. The actual dust control data is input into the control index model to obtain the dust control results of each sampling area. The output results include values of 0, 1 and 2.
[0048] If the output result is 0, stop the treatment. If the output result is 1, continue the current treatment plan to perform dust removal. If the output result is 2, re-set the dust removal treatment plan.
[0049] In a specific embodiment, the governance index model expression is:
[0050]
[0051] Where D is the output result of dust control, g ac and f ac are the grayscale of pixel c and grayscale change rate of pixel c in current sampling area a, respectively; a is the sampling area number, a=1,2......m, m>2; c is the pixel number, c=1,2......j, j is the maximum pixel number, j>2; g′ and f′ are the preset standard grayscale and standard grayscale change rate, respectively; and are respectively the preset grayscale weight factor and grayscale change rate weight factor, δ a is the weight factor of the sampling area a, δ a >0, R1 and R2 are respectively a preset first standard grayscale variation index and a preset second standard grayscale variation index.
[0052] It should be noted that the standard grayscale and the standard grayscale change rate are set by the staff, for example, the standard grayscale is 3 and the standard grayscale change rate is 0.5; the grayscale weight factor and the grayscale change rate weight factor are set by the staff, for example, the grayscale weight factor is 0.7 and the grayscale change rate weight factor is 0.3; the first standard grayscale change index and the second standard grayscale change index are set by the staff, for example, the first standard grayscale change index is 1.3 and the second standard grayscale change index is 2.4.
[0053] The yard dust prevention warning module is used to collect yard management data, analyze the yard management data based on the yard dust prevention model, and determine whether the yard needs to be treated with dust prevention. If the yard needs dust prevention treatment, the staff will be prompted.
[0054] In a specific embodiment, the yard management data is collected, and the specific collection process is as follows: after each management, the type and management duration of each management are recorded, the type of each management is counted as recycling management, and the number of recycling management times within a preset time period is obtained; the type of each management is counted as direct management, and the number of direct management times within the preset time period is obtained; the management duration of each management within the preset time period is summarized to obtain the total management duration within the preset time period, thereby obtaining the yard management data.
[0055] It should be noted that the preset duration is set by the staff, for example 7 days.
[0056] In a specific embodiment, the yard management data is analyzed, and the specific analysis process is as follows: the yard management data includes the number of recycling management within a preset time, the number of direct management and the total management time. The yard management data is substituted into the yard dust prevention model to obtain the yard dust prevention output result, including 0 or 1. If the yard dust prevention output result is 0, it indicates that the yard does not need to be dust-proofed. If the yard dust prevention output result is 1, it indicates that the yard needs to be dust-proofed.
[0057] In a specific embodiment, the dust prevention model of the storage yard is expressed as:
[0058] Where E is the dust prevention output result of the storage yard, U, W and T are respectively the number of recycling and treatment times, the number of direct treatment times and the total treatment time within the preset time, U′, W′ and T′ are respectively the preset standard number of recycling and treatment times, the standard number of direct treatment times and the standard total treatment time, ω1, ω2 and ω3 are respectively the weight factors of the preset number of recycling and treatment times, the weight factors of the direct treatment times and the weight factors of the total treatment time, ω1>0, ω2>0, ω3>0, ω1+ω2+ω3=1, and S is the preset standard dust prevention index.
[0059] It should be noted that the standard number of recycling and treatment times, the standard number of direct treatment times and the standard total treatment time are set by the staff, for example, the standard number of recycling and treatment times is 5, the standard number of direct treatment times is 4 and the standard total treatment time is 4; the weight factors are set by the staff, for example, the weight factor of the recycling and treatment times is 0.4, the weight factor of the direct treatment times is 0.2 and the weight factor of the total treatment time is 0.4; the standard dust prevention index is set by the staff, for example, the standard dust prevention index is 1.2.
[0060] The database is used to store the recovery efficiency of each type of dust, the number of times each detergent is used corresponding to the type and average particle size of the characteristic dust, the number of times each washing method is used corresponding to the average particle size and average density of the characteristic dust, the number of times each dust collector is used corresponding to the average particle size and average density of the characteristic dust in the yard, the number of times each voltage is used corresponding to the type and average particle size of the characteristic dust in the yard, and the grayscale of each pixel in each sampling area when the current treatment has not started.
[0061] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.
Claims
1. A dust control system for an ore yard, characterized in that: Includes the following modules: The dust recovery judgment module is used to collect basic dust data, analyze the basic dust data based on the recoverability model, and judge the management type of the yard. If the management type of the yard is direct management, the direct management data is obtained from the basic dust data, and a wet management plan is set according to the direct management data. If the management type of the yard is recycling management, the recycling management data is obtained from the basic dust data, and a dry recycling plan is set according to the recycling management data, so as to obtain the yard management plan; The yard dust control module is used to collect actual dust control data during the process of controlling the dust according to the yard control plan, analyze the actual dust control data based on the control index model, and determine whether to continue the control; The yard dust prevention warning module is used to collect yard management data, analyze the yard management data based on the yard dust prevention model, and determine whether the yard needs to be treated with dust prevention. If the yard needs dust prevention treatment, the staff will be prompted.
2. A dust control system for an ore stockpile according to claim 1, characterized in that: The specific collection of dust basic data is as follows: The basic dust data include the recovery efficiency, dust particle size and dust density of each sampling area. Samplers are set up in the yard area. A circle is drawn with each sampler as the center and a preset length as the radius. The area inside the circle is the sampling area. Air samples are collected by the samplers in each sampling area, and then the air samples in each sampling area are analyzed by atomic absorption spectrometer, laser particle size analyzer and gas specific volume method to obtain the dust type, dust particle size and dust density of each sampling area, and the recovery efficiency of each dust type is obtained from the database to obtain the recovery efficiency corresponding to the dust type in each sampling area.
3. A dust control system for an ore yard according to claim 2, characterized in that: The dust basic data is analyzed, and the specific analysis process is as follows: Input the basic dust data into the recoverability model to obtain the output results, which include values of -1, 0 or 1. If the output result of the yard is -1, it indicates that the dust in the yard does not need to be controlled. If the output result of the yard is 0 or 1, it indicates that the dust in the yard needs to be controlled. Among them, if the output result of the yard is 0, it indicates that the recovery index of the dust in the yard is low, and direct control is adopted for dust control. If the output result of the yard is 1, it indicates that the recovery index of the dust in the yard is high, and recycling control is adopted for dust control.
4. A dust control system for an ore yard according to claim 3, characterized in that: The recyclability model expression is: Where α is the yard recyclability index, v a ,φ a and ρ a are the recovery efficiency, dust particle size and dust density of sampling area a, respectively. a is the sampling area number, a=1,2......m, m>2, v′, φ′ and ρ′ are the preset standard recovery efficiency, standard dust particle size and standard dust density, respectively. ε1 and ε2 are the preset weighting factor of dust particle size and the weighting factor of the first dust density, respectively. ε1>0, ε2>0, ε1+ε2=1, η1 and η2 are the preset weighting factor of recovery efficiency and the weighting factor of the second dust density, respectively. η1>0, η2>0, η1+η2=1, δ a is the weight factor of the sampling area a, δ a >0, P and Q are the standard contamination index and standard recovery index respectively.
5. A dust control system for an ore yard according to claim 4, characterized in that: The specific setting process of setting the wet treatment scheme is as follows: The types of dust in the basic dust data are counted to obtain the number of types of dust in the yard. If the number of types of dust in the yard is 1, this type of dust is recorded as the characteristic dust of the yard. If the number of types of dust in the yard is greater than 1, the sampling areas are merged according to the types of dust to obtain various types of dust areas. The basic dust data of various types of dust areas are counted to obtain the number of areas, the particle size of each area, and the density of each area for each type of dust. The average particle size of each area of each dust type is calculated to obtain the average particle size of each type of dust. The average density of each area of each type of dust is calculated to obtain the average density of each type of dust. The number of sampling areas, the average particle size, and the average density of each type of dust are substituted into the calculation formula of the dust value index. The value index β of class B dust is obtained b , b is the number of the dust type, b=1,2......n, n is the maximum value of the number of the dust type, n>2, A b ,φ b and ρ b are the number of sampling areas for Class B dust, the average particle size of Class B dust and the average density of Class B dust, respectively; A′ is the preset number of standard sampling areas; λ1, λ2 and λ3 are the weight factors for the number of sampling areas, the weight factor for the average particle size and the weight factor for the average density, respectively; λ1>0, λ2>0, λ3>0, λ1+λ2+λ3=1; the dust type with the largest value index is recorded as the type of characteristic dust of the stockpile, and then the average particle size and average density of the characteristic dust of the stockpile are obtained; The number of times each detergent is used corresponding to the type and average particle size of characteristic dust is obtained from the database, and the detergent with the most times of use is selected as the preset detergent for wet treatment. The number of times each washing method is used corresponding to the average particle size and average density of characteristic dust is obtained from the database, and the washing method with the most times of use is selected as the preset washing method for wet treatment. According to the analysis method of the preset washing method, the preset detergent spraying amount and preset detergent spraying pressure for wet treatment are obtained in the same way. The wet treatment solution is: spraying a preset detergent in a preset washing method, and the spraying amount and spraying pressure are respectively the preset spraying amount and the preset spraying pressure.
6. A dust control system for an ore yard according to claim 5, characterized in that: The dry recovery scheme is set up, and the specific setting process is as follows: The recovery efficiency, average particle size and average density of the characteristic dust in the stockpile are obtained from the basic dust data, and the average particle size and average density of the characteristic dust in the stockpile are input into the direct governance model: The output result γ of the direct governance model is obtained, and the output result includes a value of 0 or 1, where φ″ and ρ″ are the average particle size and average density of the characteristic dust in the storage yard, respectively, and P′ is the preset direct governance pollution index; If the output result is 0, it indicates that direct treatment is required. The average particle size and average density of the characteristic dust in the stockpile are obtained from the database, and the number of times each dust collector is used corresponding to the average particle size and average density of the characteristic dust in the stockpile is obtained. The dust collector with the most uses is selected as the preset dust collector for the dry recovery scheme. The dry recovery scheme is to remove dust through the preset dust collector. If the output result is 1, it indicates that electrostatic recovery is required. The number of times each voltage is used corresponding to the type of characteristic dust in the yard and the average particle size is obtained from the database. The voltage with the most uses is selected as the preset voltage for electrostatic recovery. The dry recovery solution is to remove dust through an electrostatic precipitator with a preset voltage.
7. A dust control system for an ore yard according to claim 1, characterized in that: The specific judgment process of whether to continue governance is as follows: The actual dust control data includes the grayscale of each pixel in each current sampling area and the grayscale change rate of each pixel. The actual dust control data is input into the control index model to obtain the dust control results of each sampling area. The output results include values of 0, 1 and 2. If the output result is 0, stop the treatment. If the output result is 1, continue the current treatment plan to perform dust removal. If the output result is 2, re-set the dust removal treatment plan.
8. A dust control system for an ore stockpile according to claim 7, characterized in that: The governance index model expression is: Where D is the output result of dust control, g ac and f ac are the grayscale of pixel c and grayscale change rate of pixel c in current sampling area a, respectively; a is the sampling area number, a=1,2......m, m>2; c is the pixel number, c=1,2......j, j is the maximum pixel number, j>2; g′ and f′ are the preset standard grayscale and standard grayscale change rate, respectively; and are the preset grayscale weight factor and grayscale change rate weight factor, respectively. δ a is the weight factor of the sampling area a, δ a >0, R1 and R2 are respectively a preset first standard grayscale variation index and a preset second standard grayscale variation index.
9. A dust control system for an ore stockpile according to claim 1, characterized in that: The specific analysis process of the storage yard management data is as follows: The yard management data includes the number of recycling management times, the number of direct management times and the total management time within the preset time; Substitute the yard management data into the yard dust prevention model to obtain the yard's dust prevention output result, including 0 or 1. If the yard's dust prevention output result is 0, it indicates that the yard does not need dust prevention treatment. If the yard's dust prevention output result is 1, it indicates that the yard needs dust prevention treatment.
10. A dust control system for an ore stockpile according to claim 9, characterized in that: The dust prevention model expression of the storage yard is: Where E is the dust prevention output result of the storage yard, U, W and T are respectively the number of recycling and treatment times, the number of direct treatment times and the total treatment time within the preset time, U′, W′ and T′ are respectively the preset standard number of recycling and treatment times, the standard number of direct treatment times and the standard total treatment time, ω1, ω2 and ω3 are respectively the weight factors of the preset number of recycling and treatment times, the weight factors of the direct treatment times and the weight factors of the total treatment time, ω1>0, ω2>0, ω3>0, ω1+ω2+ω3=1, and S is the preset standard dust prevention index.
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CN119942733A