Coal gangue solid waste treatment quality evaluation system based on fusion pyrolysis technology

Abstract

The invention relates to the technical field of environmental science and engineering, and discloses a coal gangue solid waste treatment quality evaluation system based on a fusion pyrolysis technology. A coal gangue detection module, a fusion pyrolysis model module, a coal gangue solid waste treatment module, a coal gangue solid waste data analysis module, a coal gangue solid waste treatment quality evaluation module and a coal gangue solid waste treatment optimization module are established, detection data are collected in the coal gangue detection module, and the fusion pyrolysis model module is established on the basis of the detection data. Models aiming at different types of coal gangue components are obtained, so that the optimal pyrolysis temperature and pyrolysis reaction time are predicted in advance, processing data are collected in a coal gangue solid waste processing module, a coal gangue solid waste data analysis module is used for calculating the model precision # imgabs0 #, the coal gangue mining effective use index # imgabs1 # and the coal gangue washing effective use index # imgabs2 #, and the model precision # imgabs0 #, the coal gangue mining effective use index # imgabs1 # and the coal gangue washing effective use index # imgabs2 # are calculated. And the coal gangue solid waste treatment quality evaluation module obtains a quality score according to a calculation result, and the coal gangue solid waste treatment optimization module performs parameter optimization on the model according to the calculation result.

Description

Technical Field

[0001] The present invention relates to the field of environmental science and engineering technology, and in particular to a coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology. Background Art

[0002] Gangue is a solid waste generated during coal mining and washing. Its treatment and disposal has always been an important issue in the field of environmental protection and resource utilization. The quality assessment system for gangue solid waste treatment integrating pyrolysis technology aims to convert organic matter in gangue into usable energy and chemical raw materials through pyrolysis process, and at the same time evaluate the quality of the treatment process and products. However, the existing technology has significant defects in the control of pyrolysis process.

[0003] The composition of coal gangue is complex and uneven, and different components have different pyrolysis temperature requirements. Existing temperature control systems are difficult to achieve high-precision and accurate control of pyrolysis temperature, which causes some low-melting point components to quickly gasify at too high a temperature, while high-melting point components fail to fully pyrolyze. This inaccuracy in temperature control not only affects the quality of the pyrolysis products, but also increases the difficulty and cost of subsequent processing.

[0004] In addition, it is also difficult to determine the appropriate pyrolysis reaction time. If the reaction time is too short, the organic matter in the gangue may not be fully converted; if the reaction time is too long, it will increase energy consumption and may cause the generated pyrolysis products to undergo secondary reactions, reducing product quality. At present, due to the lack of effective means to accurately determine the optimal reaction time, it is often necessary to determine it through a large number of experiments, which is not only inefficient, but also difficult to meet the needs of actual production.

[0005] Therefore, developing a new coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology to solve the defects of existing technologies in temperature control and reaction time optimization has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides a coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology, which has the advantages of high temperature control accuracy and optimized reaction time, and solves the problem that the prior art cannot perform accurate temperature control and pyrolysis reaction time control.

[0007] (II) Technical solution To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology, comprising a coal gangue detection module, a fusion pyrolysis model module, a coal gangue solid waste treatment module, a coal gangue solid waste data analysis module, a coal gangue solid waste treatment quality assessment module, and a coal gangue solid waste treatment optimization module; The gangue detection module includes a mining gangue detection unit and a washing gangue detection unit. After the gangue detection module collects data, it is connected to the gangue solid waste data analysis module through a network; The fusion pyrolysis model module is based on a neural network algorithm, and its input is the data collected by the gangue detection module. The pyrolysis data corresponding to different gangue components in a large amount of historical data are obtained by connecting to the network. The deep learning algorithm is used for training to obtain the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model for different types of gangue components. After the fusion pyrolysis model module collects data, it is connected to the gangue solid waste data analysis module through the network; The gangue solid waste treatment module includes a gangue mining treatment unit and a gangue washing treatment unit. After the gangue solid waste treatment module collects data, it is connected to the gangue solid waste data analysis module through a network; The gangue solid waste data analysis module includes a model accuracy analysis unit, an effective analysis unit for mining and gangue treatment, and an effective analysis unit for washing and selecting gangue treatment; The gangue solid waste treatment quality assessment module obtains an overall quality score of the gangue solid waste treatment according to the calculation results of the data analysis module; The gangue solid waste treatment optimization module optimizes the control parameters of the pyrolysis process by adjusting the neural network parameters of the fusion pyrolysis model according to the results of the quality evaluation module when the model accuracy or treatment effectiveness does not meet expectations.

[0008] Preferably, the mined gangue detection unit obtains mined gangue detection data through sensor monitoring, image recognition and analysis. The mined gangue detection unit numbers the mined gangue mass and the total content of all components in the mined gangue product according to the mined gangue detection data characteristics. The mined gangue mass and the total content of all components in the mined gangue product are numbered respectively. , .

[0009] Preferably, the washed coal gangue detection unit obtains washed coal gangue detection data through physical detection equipment, chemical detection equipment and surface characteristic detection equipment, and the washed coal gangue detection unit numbers the input washed coal gangue mass and the total content of all components in the washed coal gangue product according to the characteristics of the washed coal gangue detection data, and the input washed coal gangue mass and the total content of all components in the washed coal gangue product are numbered respectively. , .

[0010] Preferably, the fusion pyrolysis model module numbers the data of the optimal pyrolysis temperature and pyrolysis reaction time predicted by the collected model, and the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model are numbered as , .

[0011] Preferably, the mining gangue processing unit collects mining gangue processing data by direct measurement, sensor monitoring, sample analysis, image and video monitoring methods. The mining gangue processing unit numbers the quality of the useful product after mining gangue processing and the content of the target component of mining gangue in the product according to the characteristics of the mining gangue processing data. The quality of the useful product after mining gangue processing and the content of the target component of mining gangue in the product are numbered respectively. , .

[0012] Preferably, the washed gangue processing unit collects washed gangue processing data through sensor monitoring, equipment operation parameter monitoring and sample analysis. The washed gangue processing unit numbers the quality of the useful product after washed gangue processing and the content of the target component of the washed gangue in the product according to the characteristics of the washed gangue processing data. The quality of the useful product after washed gangue processing and the content of the target component of the washed gangue in the product are numbered respectively. , .

[0013] Preferably, the model accuracy analysis unit calculates the model accuracy based on the data collected by the fusion pyrolysis model module. , and its calculation formula is: In the formula, represents the model accuracy, , They represent the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model, , They represent the optimal pyrolysis temperature and pyrolysis reaction time predicted by the i-th sample, , They represent the best pyrolysis temperature and pyrolysis reaction time that have been verified. , They represent the optimal pyrolysis temperature and pyrolysis reaction time of the i-th sample obtained through actual verification, represents the total number of samples used for model validation, , They represent the weights of the optimal pyrolysis temperature and pyrolysis reaction time predicted by the i-th sample, Represents a custom function that determines whether the model prediction value is consistent with the actual verification value.

[0014] Preferably, the effective analysis unit for mining gangue treatment calculates the mining gangue effective utilization index based on the mining gangue detection data and the mining gangue treatment data. , and its calculation formula is: In the formula, It indicates the effective utilization index of coal gangue mining. Indicates the quality of useful products after mining and processing of coal gangue. Indicates the quality of mined gangue input, It indicates the content of the target component of coal gangue in the product. It indicates the total content of all components in the mined coal gangue products.

[0015] Preferably, the washed coal gangue treatment effective analysis unit calculates the washed coal gangue effective use index according to the washed coal gangue detection data and the washed coal gangue treatment data. , and its calculation formula is: In the formula, It indicates the effective utilization index of washed coal gangue. Indicates the quality of useful products after washing coal gangue. Indicates the quality of washed coal gangue input, It indicates the content of the target component of washed coal gangue in the product. It indicates the total content of all components in the washed coal gangue products.

[0016] Preferably, the gangue solid waste treatment quality assessment module is based on the model accuracy scope, to determine whether the current model can be put into use, the gangue solid waste treatment quality assessment module is based on the effective use index of the gangue mining Effective use index of washed coal gangue The value of is used to obtain the overall quality score of coal gangue solid waste treatment.

[0017] Compared with the prior art, the present invention provides a coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology, which has the following beneficial effects: 1. The present invention calculates the model accuracy This formula can simultaneously consider the predicted values ​​and actual verified values ​​of the two key parameters, the optimal pyrolysis temperature and the pyrolysis reaction time, and can evaluate the accuracy of the model from multiple dimensions. By comparing and calculating the temperature and time separately, it helps to avoid the one-sidedness of the overall performance evaluation of the model caused by focusing only on a single parameter, thereby more comprehensively and accurately reflecting the performance of the model in the prediction of the pyrolysis process of coal gangue. When it is lower than 0.95, it means that the current model cannot be put into use. When it is greater than 0.95 and less than or equal to 1, it means that the current model can be put into application. By establishing the above modules and calculation formulas, the defects of the existing technology in temperature control and reaction time optimization can be effectively solved, thereby improving the quality and efficiency of coal gangue pyrolysis treatment. At the same time, the strict evaluation standard of model accuracy (accuracy ≥ 0.95) gives priority to ensuring the accuracy of the system.

[0018] 2. The present invention calculates the effective utilization index of coal gangue mining The formula divides the mass of useful products after mining gangue processing by the mass of mined gangue input, which can intuitively reflect the input-output ratio. Through this ratio, we can clearly judge the conversion efficiency from raw materials to products during the pyrolysis process and measure the basic effectiveness of resource utilization.

[0019] 3. The present invention calculates the effective utilization index of washed coal gangue , which allows operators to quickly judge the effectiveness of the pyrolysis process in terms of resource utilization, and clearly reflects how much of the washed coal gangue has been successfully converted into valuable products. It is an important basis for measuring the economic feasibility of washed coal gangue treatment. Through this calculation method, the efficiency and resource utilization level of the washed coal gangue treatment process can be better evaluated, providing a scientific basis for subsequent process improvement and optimization, and solving the problem of the inability to accurately control temperature and pyrolysis reaction time in the existing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The figure is a flow chart of the system of the present invention. DETAILED DESCRIPTION

[0021] 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.

[0022] See also Figure 1 , a quality assessment system for gangue solid waste treatment based on fusion pyrolysis technology, including a gangue detection module, a fusion pyrolysis model module, a gangue solid waste treatment module, a gangue solid waste data analysis module, a gangue solid waste treatment quality assessment module, and a gangue solid waste treatment optimization module; The gangue detection module includes a mining gangue detection unit and a washing gangue detection unit. After the gangue detection module collects data, it is connected to the gangue solid waste data analysis module through the network; The fusion pyrolysis model module is based on a neural network algorithm. The input is the data collected by the gangue detection module (including the elemental composition, mineral composition and particle size of the gangue). The pyrolysis data corresponding to different gangue components in a large amount of historical data is obtained by connecting to the network. The deep learning algorithm is used for training to obtain the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model for different types of gangue components. After the fusion pyrolysis model module collects data, it is connected to the gangue solid waste data analysis module through the network. The gangue solid waste treatment module includes a gangue mining treatment unit and a gangue washing treatment unit. After the gangue solid waste treatment module collects data, it is connected to the gangue solid waste data analysis module through the network; The gangue solid waste data analysis module includes a model accuracy analysis unit, an effective analysis unit for mining gangue treatment, and an effective analysis unit for washing gangue treatment; The gangue solid waste treatment quality assessment module obtains the overall quality score of the gangue solid waste treatment based on the calculation results of the data analysis module; According to the results of the quality assessment module, when the model accuracy or treatment effectiveness does not meet expectations, the gangue solid waste treatment optimization module optimizes the control parameters of the pyrolysis process by adjusting the neural network parameters (such as learning rate and number of hidden layer nodes) of the fusion pyrolysis model to further improve the quality and efficiency of gangue solid waste treatment.

[0023] The mining gangue detection unit obtains mining gangue detection data through sensor monitoring, image recognition and analysis. The mining gangue detection unit numbers the data according to the mining gangue mass input and the total content of all components in the mining gangue product according to the mining gangue detection data characteristics. The input mining gangue mass and the total content of all components in the mining gangue product are numbered respectively. , .

[0024] The washed coal gangue detection unit obtains washed coal gangue detection data through physical detection equipment, chemical detection equipment and surface characteristic detection equipment. The washed coal gangue detection unit numbers the input washed coal gangue mass and the total content of all components in the washed coal gangue product according to the characteristics of the washed coal gangue detection data. The input washed coal gangue mass and the total content of all components in the washed coal gangue product are numbered respectively. , .

[0025] The fusion pyrolysis model module numbers the data of the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model. The optimal pyrolysis temperature and pyrolysis reaction time predicted by the model are numbered as , .

[0026] The gangue mining processing unit collects gangue mining processing data through direct measurement, sensor monitoring, sample analysis, image and video monitoring methods. The gangue mining processing unit numbers the quality of the useful products after gangue mining processing and the content of the target components of gangue mining in the products according to the characteristics of the gangue mining processing data. The quality of the useful products after gangue mining processing and the content of the target components of gangue mining in the products are numbered as , .

[0027] The washed gangue processing unit collects washed gangue processing data through sensor monitoring, equipment operation parameter monitoring and sample analysis. The washed gangue processing unit numbers the quality of the useful product after washed gangue processing and the content of the target component of washed gangue in the product according to the characteristics of the washed gangue processing data. The quality of the useful product after washed gangue processing and the content of the target component of washed gangue in the product are numbered respectively. , .

[0028] The model accuracy analysis unit calculates the model accuracy based on the data collected by the fusion pyrolysis model module , and its calculation formula is: In the formula, represents the model accuracy, , They represent the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model, , They represent the optimal pyrolysis temperature and pyrolysis reaction time predicted by the i-th sample, , They represent the best pyrolysis temperature and pyrolysis reaction time that have been verified. , They represent the optimal pyrolysis temperature and pyrolysis reaction time of the i-th sample obtained through actual verification, Represents the total number of samples used for model validation, The calculation of samples used for model verification can effectively reduce the impact of individual abnormal samples on the model accuracy evaluation. , Respectively represent the weights of the optimal pyrolysis temperature and pyrolysis reaction time predicted by the i-th sample, and set weights for the optimal pyrolysis temperature and pyrolysis reaction time predicted by different samples and , which enables the model to perform differential evaluation based on the importance of samples, Represents a custom function, which is used to determine whether the model prediction value is consistent with the actual verification value.

[0029] Advantages: By calculating the model accuracy This formula can simultaneously consider the predicted values ​​and actual verified values ​​of the two key parameters, the optimal pyrolysis temperature and the pyrolysis reaction time, and can evaluate the accuracy of the model from multiple dimensions. By comparing and calculating the temperature and time separately, it helps to avoid the one-sidedness of the overall performance evaluation of the model caused by focusing only on a single parameter, thereby more comprehensively and accurately reflecting the performance of the model in the prediction of the pyrolysis process of coal gangue. When it is lower than 0.95, it means that the current model cannot be put into use. When it is greater than 0.95 and less than or equal to 1, it means that the current model can be put into application. By establishing the above modules and calculation formulas, the defects of the existing technology in temperature control and reaction time optimization can be effectively solved, thereby improving the quality and efficiency of coal gangue pyrolysis treatment. At the same time, the strict evaluation standard of model accuracy (accuracy ≥ 0.95) gives priority to ensuring the accuracy of the system.

[0030] The effective analysis unit of mining gangue treatment calculates the effective utilization index of mining gangue based on mining gangue detection data and mining gangue treatment data. , and its calculation formula is: In the formula, It indicates the effective utilization index of coal gangue mining. Indicates the quality of useful products after mining and processing of coal gangue. Indicates the quality of mined gangue input, It indicates the content of the target component of coal gangue in the product. It indicates the total content of all components in the mined coal gangue products.

[0031] Advantages: By calculating the effective utilization index of coal gangue mining The formula divides the mass of useful products after mining gangue treatment by the mass of mined gangue input, which can intuitively reflect the input-output ratio. Through this ratio, the conversion efficiency from raw materials to products in the pyrolysis process can be clearly judged, and the basic effectiveness of resource utilization can be measured. The ratio of the content of the target component of mined gangue in the product to the total content of all components in the product is introduced into the formula. This ratio can effectively evaluate the degree of enrichment of the target component in the treatment process and judge whether the expected product quality standard is achieved. The effective use index is calculated by combining the two ratios. From the two key dimensions of product quantity and product quality, it is helpful to comprehensively measure the effectiveness of the mining gangue treatment process. It can not only see the quantity of resource conversion, but also take into account the quality of the product. It provides an accurate value indicator for judging the treatment process in practical applications for evaluating the pyrolysis treatment process.

[0032] The washed coal gangue treatment effective analysis unit calculates the washed coal gangue effective utilization index based on the washed coal gangue detection data and washed coal gangue treatment data , and its calculation formula is: In the formula, It indicates the effective utilization index of washed coal gangue. Indicates the quality of useful products after washing coal gangue. Indicates the quality of washed coal gangue input, It indicates the content of the target component of washed coal gangue in the product. It indicates the total content of all components in the washed coal gangue products.

[0033] Advantages: By calculating the effective utilization index of washed coal gangue , which allows operators to quickly judge the effectiveness of the pyrolysis process in terms of resource utilization, and clearly reflects how much of the washed coal gangue has been successfully converted into valuable products. It is an important basis for measuring the economic feasibility of washed coal gangue treatment. Through this calculation method, the efficiency and resource utilization level of the washed coal gangue treatment process can be better evaluated, providing a scientific basis for subsequent process improvement and optimization.

[0034] The quality assessment module of coal gangue solid waste treatment is based on the model accuracy range, to determine whether the current model can be put into use. When the model accuracy is lower than 0.95, the current model cannot be put into use. When it is greater than 0.95 and less than or equal to 1, the current model can be put into use, and the gangue solid waste treatment quality assessment module is based on the effective use index of mining gangue Effective use index of washed coal gangue The overall quality score of coal gangue solid waste treatment is obtained by using the value of ,in, .

[0035] When 85%≤score≤95%: The Gangue Solid Waste Treatment Optimization Module optimizes the parameters of the sorting equipment in the gangue mining process to improve the sorting accuracy of the target components; or improves the crushing process of the gangue mining process to make the product particle size more uniform, so as to improve the effective use index of the gangue mining process. ; The Gangue Solid Waste Treatment Optimization Module adjusts the formulation and dosage of washing agents in the gangue washing process to enhance the enrichment effect of the target components; or optimizes the operating parameters of the washing equipment, such as speed and liquid level, to improve the effective use index of gangue washing. ; When the score is ≤85%: The gangue solid waste treatment optimization module comprehensively checks and improves the mining and pretreatment links of gangue mining, which may include replacing mining equipment to improve mining efficiency and quality, optimizing mining methods to reduce impurity mixing; at the same time, it conducts in-depth research on the occurrence state of target components in mined gangue, and develops more effective pretreatment technology.

[0036] The gangue solid waste treatment optimization module conducts comprehensive process innovation for washed gangue, such as introducing new washing technology or equipment to fundamentally change the washing effect; strengthens the monitoring and management of each link in the washing process to ensure that various operating indicators are optimized, so as to significantly improve the effective utilization index of washed gangue.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The quality assessment system for coal gangue solid waste treatment based on fusion pyrolysis technology is characterized by: Including coal gangue detection module, fusion pyrolysis model module, coal gangue solid waste treatment module, coal gangue solid waste data analysis module, coal gangue solid waste treatment quality assessment module, coal gangue solid waste treatment optimization module; The gangue detection module includes a mining gangue detection unit and a washing gangue detection unit. After the gangue detection module collects data, it is connected to the gangue solid waste data analysis module through a network. The fusion pyrolysis model module is based on a neural network algorithm, and its input is the data collected by the gangue detection module. The pyrolysis data corresponding to different gangue components in a large amount of historical data are obtained by connecting to the network. The deep learning algorithm is used for training to obtain the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model for different types of gangue components. After the fusion pyrolysis model module collects data, it is connected to the gangue solid waste data analysis module through the network; The gangue solid waste treatment module includes a gangue mining treatment unit and a gangue washing treatment unit. After the gangue solid waste treatment module collects data, it is connected to the gangue solid waste data analysis module through a network; The gangue solid waste data analysis module includes a model accuracy analysis unit, an effective analysis unit for mining and gangue treatment, and an effective analysis unit for washing and selecting gangue treatment; The gangue solid waste treatment quality assessment module obtains an overall quality score of the gangue solid waste treatment according to the calculation results of the data analysis module; The gangue solid waste treatment optimization module optimizes the control parameters of the pyrolysis process by adjusting the neural network parameters of the fusion pyrolysis model according to the results of the quality evaluation module when the model accuracy or treatment effectiveness does not meet expectations.

2. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 1 is characterized by: The mined gangue detection unit acquires mined gangue detection data through sensor monitoring, image recognition and analysis. The mined gangue detection unit numbers the input mined gangue mass and the total content of all components in the mined gangue product according to the mined gangue detection data characteristics. The input mined gangue mass and the total content of all components in the mined gangue product are numbered respectively. , .

3. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 1 is characterized by: The washed coal gangue detection unit obtains washed coal gangue detection data through physical detection equipment, chemical detection equipment and surface characteristic detection equipment. The washed coal gangue detection unit numbers the input washed coal gangue mass and the total content of all components in the washed coal gangue product according to the characteristics of the washed coal gangue detection data. The input washed coal gangue mass and the total content of all components in the washed coal gangue product are numbered respectively. , .

4. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 3 is characterized by: The fusion pyrolysis model module numbers the data of the optimal pyrolysis temperature and pyrolysis reaction time predicted by the collected model, and the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model are numbered as , .

5. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 1 is characterized by: The mining gangue processing unit collects mining gangue processing data by direct measurement, sensor monitoring, sample analysis, image and video monitoring methods. The mining gangue processing unit numbers the quality of the useful product after mining gangue processing and the content of the target component of mining gangue in the product according to the characteristics of the mining gangue processing data. The quality of the useful product after mining gangue processing and the content of the target component of mining gangue in the product are numbered respectively. , .

6. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 1 is characterized by: The washed gangue processing unit collects washed gangue processing data through sensor monitoring, equipment operation parameter monitoring and sample analysis. The washed gangue processing unit numbers the quality of the useful product after washed gangue processing and the content of the target component of the washed gangue in the product according to the characteristics of the washed gangue processing data. The quality of the useful product after washed gangue processing and the content of the target component of the washed gangue in the product are numbered respectively. , .

7. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 4 is characterized by: The model accuracy analysis unit calculates the model accuracy based on the data collected by the fusion pyrolysis model module , and its calculation formula is: In the formula, represents the model accuracy, , They represent the optimal pyrolysis temperature and pyrolysis reaction time predicted by the model, , They represent the optimal pyrolysis temperature and pyrolysis reaction time predicted by the i-th sample, , They represent the best pyrolysis temperature and pyrolysis reaction time that have been verified. , They represent the optimal pyrolysis temperature and pyrolysis reaction time of the i-th sample obtained through actual verification, represents the total number of samples used for model validation, , They represent the weights of the optimal pyrolysis temperature and pyrolysis reaction time predicted by the i-th sample, Represents a custom function that determines whether the model prediction value is consistent with the actual verification value.

8. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 5 is characterized by: The effective analysis unit for mining gangue processing calculates the effective utilization index of mining gangue based on the mining gangue detection data and mining gangue processing data. , and its calculation formula is: In the formula, It indicates the effective utilization index of coal gangue mining. Indicates the quality of useful products after mining and processing of coal gangue. Indicates the quality of mined gangue input, It indicates the content of the target component of coal gangue in the product. It indicates the total content of all components in the mined coal gangue products.

9. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 6 is characterized by: The washed coal gangue treatment effective analysis unit calculates the washed coal gangue effective use index according to the washed coal gangue detection data and the washed coal gangue treatment data. , and its calculation formula is: In the formula, It indicates the effective utilization index of washed coal gangue. Indicates the quality of useful products after washing coal gangue. Indicates the quality of washed coal gangue input, It indicates the content of the target component of washed coal gangue in the product. It indicates the total content of all components in the washed coal gangue products.

10. The coal gangue solid waste treatment quality assessment system based on fusion pyrolysis technology according to claim 9, characterized in that: The gangue solid waste treatment quality assessment module is based on the model accuracy scope, to determine whether the current model can be put into use, the gangue solid waste treatment quality assessment module is based on the effective use index of the gangue mining Effective use index of washed coal gangue The value of is used to obtain the overall quality score of coal gangue solid waste treatment.

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