Coal-based solid waste self-identification utilization matching system

Abstract

The present application provides a kind of coal-based solid waste self-identification utilization matching system, uses analytic hierarchy process-fuzzy extension method, constructs coal-based solid waste potential utilization path analytic hierarchy process evaluation model, comprehensively analyzes coal-based solid waste physical mechanics characteristics, microstructure, heavy metal content, mineral component, which is used as first-level index, selects 18 main factors affecting first-level index as second-level index, determines index weight using 1-9 scale method, uses single factor index method and potential ecological hazard index method, is tested by random consistency ratio C.R., database is imported into system, and after inputting physical and chemical properties, microstructure, heavy metal content, mineral composition of coal-based solid waste, the system automatically matches utilization path.The present application provides a new way for the utilization of coal-based solid waste, while effectively reducing the process of coal gangue, fly ash, coal gasification slag, slag utilization.

Description

Technical Field

[0001] This invention relates to the field of resource utilization and intelligent matching of coal-based solid waste in mining, and particularly to a self-identification and utilization matching system for coal-based solid waste. Background Technology

[0002] With economic development, the demand for energy is increasing, and the development and utilization of green and clean energy has become an important development direction. The resource utilization and large-scale disposal of coal gangue are effective measures to address the greening of coal-based solid waste and optimize the ecological environment. Coal-based solid waste has a low comprehensive utilization rate and large storage volume, increasing the risk of environmental pollution such as water, soil, and air pollution, seriously threatening public safety and health. The large-scale discharge of coal-based solid waste not only occupies a large amount of land resources but also exacerbates ecological problems such as soil erosion, desertification, and groundwater pollution.

[0003] Resource utilization of coal-based solid waste is an effective measure to address the green ecology of mines. Among these measures, selecting appropriate utilization pathways for resource utilization of coal-based solid waste is one of the most effective approaches. Some regions have abundant reserves of coal gangue, fly ash, coal gasification slag, and furnace slag, suitable for multi-purpose applications. Summary of the Invention

[0004] Purpose of the invention: The technical problem to be solved by the present invention is to address the shortcomings of the existing technology by providing a coal-based solid waste self-identification and utilization matching system, including a database input module, a coal-based solid waste type selection module, a calculation module, a coal-based solid waste physicochemical property module, and a coal-based solid waste utilization path evaluation module. The model uses a 1-9 scale method to determine the index weights, and uses the random consistency ratio (CR) to verify whether the weight allocation is reasonable. Combined with a novel physical and mechanical property evaluation method, microscopic morphology analysis evaluation, compound component classification, and heavy metal pollution evaluation, the final utilization path evaluation level is displayed by the evaluation coefficient μ.

[0005] The data entry database is used to enter new data into the database and import the data into the background. The data is then calculated using the single-factor index method, the potential ecological hazard index method, the hierarchical analysis evaluation model evaluation coefficient μ, and the consistency ratio CR, and finally displayed on the software interface.

[0006] The coal-based solid waste type selection module is used to select the types of coal-based solid waste under study.

[0007] The calculation module is used to calculate the characteristics of multi-source coal-based solid waste, specifically including: using existing mature testing instruments and technologies to determine the mineral and compound composition of solid waste samples through XRD and XRF; analyzing the microstructure, gradation distribution, and energy dispersive spectral characteristics of solid waste samples through crushing, screening, and SEM-EDS testing; testing the four major mechanical properties of solid waste samples—compressive strength, elastic modulus, Poisson's ratio, and density—using an MTS815 electro-hydraulic servo rock testing machine and an MTS C64.106 electro-hydraulic servo universal testing machine; testing the content (mg / kg) of five heavy metals (Pb, Cr, Cu, Zn, and Mn) of solid waste samples using ICP-MS; and testing the content of heavy metal (As) in solid waste samples using AFS.

[0008] The coal-based solid waste physicochemical properties module is used for inputting microstructure images at two magnification levels of 1000 and 3000, as well as inputting and displaying the characteristics of multi-source coal-based solid waste.

[0009] The coal-based solid waste utilization path evaluation module is used to calculate the input data through the hierarchical analysis evaluation model. The model uses the 1-9 scale method to determine the index weights, and uses the random consistency ratio (CR) to verify whether the weight allocation is reasonable. Combining the new physical and mechanical property evaluation method, microscopic morphology deconstruction evaluation, compound component classification and heavy metal pollution evaluation, the final utilization path evaluation level is displayed by the evaluation coefficient μ.

[0010] The system performs the following steps:

[0011] Step 1: The calculation module calculates the characteristics of multi-source coal-based solid waste, obtains the utilization path, and then enters it into the database;

[0012] Step 2: Select the type of coal-based solid waste using the coal-based solid waste type selection module;

[0013] Step 3: Select two different magnifications through the coal-based solid waste physicochemical properties module, input and display the SEM-EDS test microstructure diagram of the selected coal-based solid waste; fill in the microstructure, coal-based solid waste mineral composition, bearing mechanical properties, heavy metal content in sequence, or directly import database files through the database input database. The potential utilization level of the coal-based solid waste is classified according to the evaluation coefficient μ of the hierarchical analysis evaluation model to obtain the recommended level and give the optimal utilization path. The evaluation results are displayed through the coal-based solid waste utilization path evaluation module.

[0014] Step 4: Use the database update function to enter the latest evaluation results into the database and export the latest evaluation results.

[0015] The coal-based solid waste utilization path evaluation module employs the analytic hierarchy process (AHP)-fuzzy extension theory to construct an AHP evaluation model for potential coal-based solid waste utilization paths. The model uses a 1-9 scale to determine the weights of the indicators, as shown in Table 1, to reduce the difficulty of comparing the four major factors: mechanical properties, microstructure, mineral and compound composition, and heavy metal content. The rationality of the obtained weight allocation is verified using the random consistency ratio (CR).

[0016] Table 1. Indicator Weight Allocation Table

[0017]

[0018]

[0019] Step 3 also includes: analyzing and evaluating the pollution risk of heavy metal content using the Single Factor Index Method (SFIM) and the Potential Ecological Hazard Index Method (RIM). The formula for the Single Factor Index Method is as follows:

[0020] P a =C a / S a

[0021] In the formula, P a C is the environmental quality index of heavy metal a in soil; a The content of heavy metal a (mg / kg); S a The evaluation standard for heavy metal a is (mg / kg).

[0022] The formula for calculating the potential ecological hazard index is as follows:

[0023]

[0024] RIM is the comprehensive potential ecological hazard index of multiple heavy metals in soil. The potential ecological hazard coefficient of heavy metal element b; denoted as the toxicity response coefficient of heavy metal element b; The pollution parameters for heavy metal element b; This represents the measured content of heavy metal element b. The evaluation criteria are for element b.

[0025] The formula for calculating the random consistency ratio (CR) is as follows:

[0026]

[0027] Where CI is the consistency index, and the formula is: λ max To determine the largest eigenvalue of a matrix, the formula is: (Aw T)i indicates that all elements in the i-th row of the judgment matrix A form the inner product of a row matrix and the transpose of matrix w; T represents the matrix transpose; RI is the random consistency index; as shown in Table 2 below:

[0028] Table 2

[0029] Latitude (n) 1 2 3 4 5 6 7 8 RI 0 0 0.58 0.90 1.12 1.24 1.32 1.41

[0030] If CR is less than or equal to 0.1, it means that the consistency test of the analytic hierarchy process is passed. If CR is greater than 0.1, it means that the judgment matrix does not meet the consistency criteria. The pairwise judgment matrices are then reconstructed using the 1-9 scale method until the test is passed.

[0031] The hierarchical analysis evaluation model selects mechanical properties, microstructure, heavy metal content, and mineral composition as primary indicators, and selects 18 main factors affecting the criterion layer as secondary indicators.

[0032] The 18 key factors include: density, elastic modulus, Poisson's ratio, compressive strength; microstructure, gradation distribution, energy spectrum distribution; SiO2, Al2O3, CaO, Fe2O3, MaO; Mn, Zn, Cr, Cu, Pb, As.

[0033] The analytic hierarchy process (AHP) evaluation model is divided into 5 levels according to the evaluation coefficient μ: excellent (μ>0.8), good (0.8>μ>0.6), average (0.6>μ>0.4), poor (0.4>μ>0.2), and very poor (μ<0.2).

[0034] The physicochemical properties of coal-based solid waste were analyzed using a hierarchical analysis and evaluation model of potential utilization paths. Steps 1 to 4 were visualized and interactively operated using Python.

[0035] The beneficial effects of this invention are: it enables the large-scale disposal and resource utilization of coal-based solid waste, including coal gangue, fly ash, coal gasification slag, and furnace slag; it effectively reduces the research time required for utilization pathways of coal gangue, fly ash, coal gasification slag, and furnace slag; it improves the resource utilization efficiency of energy; and it reduces time costs. It provides a new approach to the utilization of coal-based solid waste, while effectively reducing the steps involved in the utilization of coal gangue, fly ash, coal gasification slag, and furnace slag. Attached Figure Description

[0036] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments, and the advantages of the present invention in the above and / or other aspects will become clearer.

[0037] Figure 1 This is the system logic diagram of the present invention.

[0038] Figure 2 This is a screenshot of the software interface for the coal-based solid waste self-identification and utilization matching system.

[0039] Figure 3 This is a schematic diagram of the evaluation results output by the present invention. Detailed Implementation

[0040] This invention provides a self-identification and utilization matching system for coal-based solid waste, such as... Figure 1 As shown, the coal-based solid waste self-identification and utilization matching system adopts the analytic hierarchy process (AHP)-fuzzy extension theory method to construct an AHP evaluation model for potential utilization paths of coal-based solid waste. Mechanical properties, microstructure, heavy metal content, and mineral composition are selected as primary indicators, and 18 main factors affecting the primary indicators are selected as secondary indicators. The weights of the indicators are determined using the 1-9 scaling method. The single-factor index method and the potential ecological hazard index method are used, and the random consistency ratio (CR) is used for verification. The database is imported into the system, and the physicochemical properties, microstructure, heavy metal content, and mineral composition of coal-based solid waste are input. Through a new physical and mechanical property evaluation method, micromorphological deconstruction evaluation, compound composition classification, and heavy metal pollution evaluation, the utilization path evaluation level is finally displayed by the evaluation coefficient μ.

[0041] The system automatically matches the exploit path. For example... Figure 2 As shown, the coal-based solid waste self-identification and utilization matching system consists of four parts: Step 1, import / entry database, used to enter new data into the database and import data into the background for calculation and display; Step 2, coal-based solid waste type selection, used to select the types of coal-based solid waste under study; Step 3, physicochemical properties of coal-based solid waste, used to enter images of the microstructure at two magnification levels and input and display the four major characteristics; Step 4, evaluation of coal-based solid waste utilization paths, used to display the calculated results, show the evaluation results of utilization effect, and finally update and export the database.

[0042] Example 1

[0043] This invention proposes a coal-based solid waste self-identification and utilization matching system to solve the complex problems of coal-based solid waste resource utilization and alleviate the pressure of solid waste utilization.

[0044] The specific steps are as follows:

[0045] (1) Collect coal gangue and fly ash from coal mining faces, coal gasification slag and furnace slag from coal preparation plants, collect physical and chemical properties data of the four major characteristics and utilization paths, and form a new database.

[0046] (2) Open the coal-based solid waste self-identification and utilization matching system, click the "Enter New Database" button in Step 1, and enter the basic data of the coal-based solid waste of the mine into the system database.

[0047] S2: Click the "Select" button in Step 2 and select "Coal Gangue_Gangue Hill" as the coal-based solid waste type.

[0048] S3: Click the "Input" button in Step 3, select two different magnifications, "1000" and "3000", and input and display the SEM-EDS test microstructure diagram of the selected coal-based solid waste. Fill in the microstructure, mineral composition of coal-based solid waste: SiO2 (58.7%), Al2O3 (14.8%), CaO (6.3%), Fe (6.2%), MaO (2.8%); load-bearing mechanical properties: density (2.4e3kg / m3), elastic modulus (9.62GPa), Poisson's ratio (0.16GPa), compressive strength (38.0MPa); heavy metal content (mg / kg): Mn (100), Zn (76), Cr (76), Cu (26), Pb (15), As (2.4); or directly click the "Import Database File" button in Step 1 to evaluate the utilization path of coal-based solid waste.

[0049] The evaluation of coal-based solid waste utilization pathways comprehensively considers four factors: physical and mechanical properties, microstructure, compound composition, and heavy metal content. The weighting ratios for each factor are: physical and mechanical properties : microstructure : compound composition : heavy metal content = 0.390 : 0.440 : 0.170 : 0.215. The formula for physical and mechanical properties is as follows:

[0050]

[0051] In the formula: F cu The compressive strength of the coal-based solid waste sample; The water-cement ratio is the reciprocal, taken as 2.5; F ce The strength of the raw material cement.

[0052]

[0053] In the formula: F cb F represents the standard value of tensile strength for coal-based solid waste samples. k The standard value of the cubic compressive strength of the coal-based solid waste sample is used to test the strength grade value; δ is the coefficient of variation of the coal-based solid waste material sample, which is taken as 0.18; 0.88 is the reduction factor for the difference between the coal-based solid waste sample and the component.

[0054]

[0055] In the formula: Z t F represents the elastic modulus of the coal-based solid waste sample. cu This represents the compressive strength of the coal-based solid waste sample.

[0056] The compound composition is categorized into utilization pathways based on the content of the main oxides SiO2, Al2O3, CaO, Fe2O3, and MaO: For building materials (brick making): SiO2 55%–70%, Al2O3 15%–25%, Fe2O3 2%–8%, CaO ≤2%, MaO ≤3%; for roadbed materials: SO3 ≤3%, iron sulfide <3%; for filling materials: SO3 <3%, CaO <1%. No requirements are placed on the compound composition of other materials.

[0057] The pollution risk of heavy metal content was analyzed and evaluated using the single-factor index method and the potential ecological hazard index method.

[0058] Substitute the heavy metal contents Mn (100), Zn (76), Cr (76), Cu (26), Pb (15), and As (2.4) into the formula for the Single Factor Index Method (SFIM):

[0059] P a =C a / S a

[0060] In the formula, P a C is the environmental quality index of heavy metal a in soil; a The content of heavy metal a (mg / kg); S a The evaluation standard for heavy metal a is (mg / kg).

[0061] Similarly, substituting into the formula for the potential ecological hazard index method:

[0062]

[0063] In the formula: RIM is the comprehensive potential ecological hazard index of multiple heavy metals in soil; The potential ecological hazard coefficient of heavy metal element b; denoted as the toxicity response coefficient of heavy metal element b; The pollution parameters for heavy metal element b; This represents the measured content of heavy metal element b. The evaluation criteria are for element b.

[0064] The four factors were ultimately analyzed using a hierarchical analysis-fuzzy extension theory method based on their weights to construct a hierarchical analysis evaluation model for the potential utilization paths of coal-based solid waste. The model used a 1-9 scale to determine the index weights, as shown in Table 1, to reduce the difficulty of comparing the four factors: mechanical properties, microstructure, mineral and compound composition, and heavy metal content. The rationality of the weight allocation was verified using the random consistency ratio (CR). The final evaluation result for the utilization paths of this coal-based solid waste experimental sample was Level I, with the potential optimal utilization paths being shotcrete materials, grouting materials, filling materials, and concrete mixtures. The evaluation results are displayed in the text box in Step 4.

[0065] S4: Click the "Update Database" button in Step 4 to enter the latest evaluation results into the database, and then click the "Export Database" button in Step 4 to export the latest evaluation results. The results are as follows: Figure 3 As shown:

[0066] The specific steps are as follows:

[0067] A coal-based solid waste self-identification and utilization matching system comprises two core components: data entry and utilization path self-matching functions, and system software. Its features include the following method steps:

[0068] S1: Collect data on the physicochemical properties and utilization pathways of multi-source coal-based solid waste, and form a new database.

[0069] S2: Open the coal-based solid waste self-identification and utilization matching system, click the "Enter New Database" button in Step 1, and enter the basic data of coal-based solid waste into the system database.

[0070] S2: Click the “Select” button in Step 2 to select the type of coal-based solid waste.

[0071] S3: Click the "Input" button in Step 3, select two different magnifications, and input and display the SEM-EDS microstructure diagram of the selected coal-based solid waste. Fill in the microstructure, mineral composition, load-bearing mechanical properties, and heavy metal content of the coal-based solid waste, or directly click the "Import Database File" button in Step 1. The system will evaluate the utilization path of the coal-based solid waste, derive recommended utilization paths and recommendation levels, and provide the most efficient utilization path. The evaluation results are displayed in the text box in Step 4.

[0072] S4: Click the "Update Database" button in Step 4 to enter the latest evaluation results into the database, and click the "Export Database" button in Step 4 to export the latest evaluation results.

[0073] This invention provides a self-identification and utilization matching system for coal-based solid waste. Many methods and approaches exist for implementing this technical solution; the above description is merely a preferred embodiment of the invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this invention, and these improvements and modifications should also be considered within the scope of protection of this invention. All components not explicitly stated in this embodiment can be implemented using existing technologies.

Claims

1. A self-identification and utilization matching system for coal-based solid waste, characterized in that, It includes a database entry module, a coal-based solid waste type selection module, a calculation module, a coal-based solid waste physicochemical properties module, and a coal-based solid waste utilization path evaluation module; The data entry database is used to enter new data into the database and import the data into the backend. The data is then calculated using the single-factor index method, the potential ecological hazard index method, the hierarchical analysis evaluation model evaluation coefficient μ, and the consistency ratio CR, and finally displayed on the interface. The coal-based solid waste type selection module is used to select the types of coal-based solid waste under study. The calculation module is used to calculate the characteristics of multi-source coal-based solid waste, specifically including: identifying the mineral and compound composition of solid waste samples through XRD and XRF; analyzing the microstructure, gradation distribution, and energy dispersive spectral characteristics of solid waste samples through crushing, sieving, and SEM-EDS testing; testing the four major mechanical properties of solid waste samples—compressive strength, elastic modulus, Poisson's ratio, and density—using an MTS815 electro-hydraulic servo rock testing machine and an MTS C64.106 electro-hydraulic servo universal testing machine; testing the content of five heavy metals—Pb, Cr, Cu, Zn, and Mn—in solid waste samples using ICP-MS; and testing the content of the heavy metal As in solid waste samples using AFS. The coal-based solid waste physicochemical properties module is used for inputting images of microstructures at two magnification levels, as well as inputting and displaying the characteristics of multi-source coal-based solid waste. The coal-based solid waste utilization path evaluation module is used to calculate the input data through the hierarchical analysis evaluation model. The model uses the 1-9 scale method to determine the index weights and uses the random consistency ratio (CR) to verify whether the weight allocation is reasonable. Combining the new physical and mechanical property evaluation method, microscopic morphology deconstruction evaluation, compound component classification and heavy metal pollution evaluation, the final utilization path evaluation level is displayed by the evaluation coefficient μ. The system performs the following steps: Step 1: The calculation module calculates the characteristics of multi-source coal-based solid waste, obtains the utilization path, and then enters it into the database; Step 2: Select the type of coal-based solid waste using the coal-based solid waste type selection module; Step 3: Select two different magnifications through the coal-based solid waste physicochemical properties module, input and display the SEM-EDS test microstructure diagram of the selected coal-based solid waste; fill in the microstructure, coal-based solid waste mineral composition, bearing mechanical properties, heavy metal content in sequence, or directly import database files through the database input database. The potential utilization level of the coal-based solid waste is classified according to the evaluation coefficient μ of the hierarchical analysis evaluation model to obtain the recommended level and give the optimal utilization path. The evaluation results are displayed through the coal-based solid waste utilization path evaluation module. Step 4: Use the database update function to enter the latest evaluation results into the database and export the latest evaluation results.

2. The coal-based solid waste self-identification and utilization matching system according to claim 1, characterized in that, The coal-based solid waste utilization path evaluation module adopts the analytic hierarchy process-fuzzy extension theory method to construct a analytic hierarchy process evaluation model for potential utilization paths of coal-based solid waste. The model uses the 1-9 scale method to determine the weights of the indicators, and the random consistency ratio (CR) is used to verify whether the weight allocation is reasonable.

3. The coal-based solid waste self-identification and utilization matching system according to claim 2, characterized in that, Step 3 also includes: analyzing and evaluating the pollution risk of heavy metal content using the single-factor index method and the potential ecological hazard index method. The calculation formula for the single-factor index method is as follows: ， in, This is the environmental quality index for heavy metal a in the soil. The content of heavy metal a; The evaluation criteria for heavy metal a; The formula for calculating the potential ecological hazard index is as follows: RIM= ; , RIM is the comprehensive potential ecological hazard index of multiple heavy metals in soil. The potential ecological hazard coefficient of heavy metal element b; is the toxicity response coefficient of heavy metal element b; The pollution parameters for heavy metal element b; This represents the measured content of heavy metal element b. The evaluation criteria are for element b.

4. The coal-based solid waste self-identification and utilization matching system according to claim 3, characterized in that, The formula for calculating the random consistency ratio (CR) is as follows: ， in The consistency index is expressed by the following formula: , To determine the largest eigenvalue of a matrix, the formula is: , The judgment matrix A is defined as a row matrix whose elements in the i-th row form the inner product of the transpose of matrix w, where T represents the matrix transpose; RI is the random consistency index.

5. The coal-based solid waste self-identification and utilization matching system according to claim 4, characterized in that, If CR is less than or equal to 0.1, it means that the consistency test of the analytic hierarchy process is passed. If CR is greater than 0.1, it means that the judgment matrix does not meet the consistency criteria. The pairwise judgment matrices are then reconstructed using the 1-9 scale method until the test is passed.

6. The coal-based solid waste self-identification and utilization matching system according to claim 5, characterized in that, The hierarchical analysis evaluation model selects mechanical properties, microstructure, heavy metal content, and mineral composition as primary indicators, and selects 18 main factors affecting the criterion layer as secondary indicators.

7. The coal-based solid waste self-identification and utilization matching system according to claim 6, characterized in that, The 18 key factors include: density, elastic modulus, Poisson's ratio, compressive strength; microstructure, gradation distribution, and energy spectrum distribution. , CaO , MgO; Mn, Zn, Cr, Cu, Pb, As.

8. The coal-based solid waste self-identification and utilization matching system according to claim 7, characterized in that, The analytic hierarchy process (AHP) evaluation model is divided into five levels according to the evaluation coefficient μ: excellent, good, average, poor, and very poor.

9. The coal-based solid waste self-identification and utilization matching system according to claim 8, characterized in that, The physicochemical properties of coal-based solid waste were analyzed using a hierarchical analysis and evaluation model of potential utilization paths. The visualization interface and human-computer interaction operation corresponding to steps 1 to 4 were implemented using Python programming.

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