A coal washing monitoring and management system for a coal washing plant

Abstract

The present invention relates to the technical field of coal washing monitoring and management, and in particular to a coal washing monitoring and management system for a coal washing plant, comprising a dust monitoring and analysis module, a harmful gas monitoring and analysis module, an impurity monitoring and analysis module, an adjustment management module, a verification module and a display terminal; the present invention monitors and analyzes the states of dust, harmful gases and coal flow impurities in a coal washing process in real time, quickly captures their changes and generates abnormal signals, and automatically adjusts hydraulic operation parameters in the coal washing process, including water flow rate, water pressure, water volume and water temperature, according to the detected abnormal signals, so as to effectively inhibit dust diffusion, reduce harmful gas emissions and improve coal quality, thereby ensuring the safety, environmental protection and efficiency of the coal washing process.

Description

Technical Field

[0001] The present invention relates to the technical field of coal washing monitoring and management, and in particular to a coal washing monitoring and management system for a coal washing plant. Background Art

[0002] In the coal washing process, the coal raw materials are processed by hydraulic coal separation technology to separate different grades of coal streams such as gangue, medium coal and clean coal. Although the coal washing process can significantly improve the quality of coal and reduce the content of ash and other impurities in coal, the environmental pollution problems associated with the process are becoming increasingly serious. In the coal washing process, dust, harmful gases and impurities in the coal stream are the three main sources of pollution, which not only pose a threat to the environment and the health of workers, but also affect the quality of coal.

[0003] At present, traditional hydraulic control systems are relatively simple, mostly relying on manual monitoring and control, and mainly relying on manual experience for manual adjustment. Usually, staff are required to make adjustments through observation or regular test results. The reaction speed is slow and cannot respond to dynamic changes in the coal washing process in real time. It is difficult to respond effectively to abnormal conditions such as dust, harmful gases and impurities in a timely manner, and it is impossible to achieve multi-factor and multi-level automatic adjustment, resulting in the failure to maximize the improvement of coal washing efficiency and environmental protection effects.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] The purpose of the present invention is to solve the problem that the traditional hydraulic control system is relatively simple, cannot respond to the dynamic changes in the coal washing process in real time, and cannot achieve multi-factor and multi-level automatic adjustment, and proposes a coal washing monitoring and management system for a coal washing plant.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A coal washing monitoring and management system for a coal washing plant, comprising:

[0007] The dust monitoring and analysis module is used to monitor and analyze the dust status during the coal washing process, obtain the dust concentration trend value, and determine whether to generate a dust abnormality signal based on the dust concentration trend value;

[0008] The harmful gas monitoring and analysis module is used to monitor and analyze the harmful gas status in the coal washing process, obtain the content and average rate of each harmful gas component, and comprehensively analyze the content and average rate of each harmful gas component to obtain the harmful gas evaluation value, and determine whether to generate a harmful gas abnormal signal based on the harmful gas evaluation value;

[0009] The impurity monitoring and analysis module is used to monitor and analyze the ash status of each coal flow in the coal washing process, obtain the impurity content value of the coal, and determine whether to generate an impurity abnormality signal based on the impurity content value of the coal;

[0010] The adjustment management module is used to receive dust abnormality signals, harmful gas abnormality signals and impurity abnormality signals, thereby managing and analyzing the hydraulic operation parameters in the coal washing process to obtain the initial adjustment instructions, the secondary adjustment instructions and the final adjustment instructions.

[0011] Furthermore, the specific process of solving the dust concentration trend value is as follows:

[0012] The dust concentration value at each monitoring time point in the coal washing process within a period of time is obtained in real time, and the dust concentration value is marked one by one as a data point on the dust concentration dynamic coordinate system, and the discrete data points are sequentially connected with line segments, thereby obtaining a dust concentration fluctuation diagram;

[0013] The dust concentration values ​​corresponding to adjacent data points in the dust concentration fluctuation graph are calculated by difference to obtain the dust concentration difference. If the dust concentration difference is greater than zero, it means that the dust concentration is rising. The line segment with a dust concentration difference greater than zero is marked as a rising line segment. Then, the angle between each rising line segment and the horizontal axis is obtained by calculating its slope. The slope value is converted into an angle value through the inverse tangent function, thereby obtaining the rising angle value Fd of each rising line segment. s , s represents the number of each ascending line segment, and s=1, 2, 3…m, m represents the total number of ascending line segment numbers, according to the formula: , get the dust concentration trend value Fqs, where Fd s-1 It represents the rising angle value of the s-1th rising line segment, and a1 represents the set correction factor.

[0014] Furthermore, the specific process of solving the content of each harmful gas component is:

[0015] By detecting the types of gas components released during the coal washing process over a period of time, the types of gas components released during the coal washing process over a period of time are obtained, and they are matched with the set types of harmful gas components to obtain the harmful gas components. At the same time, the content of each harmful gas component is detected to obtain the content of each harmful gas component, which is recorded as Hq i y , i represents the number of each monitoring time point within a period of time, and i=1, 2, 3…n, n represents the total number of numbers of each monitoring time point within a period of time, y represents the number of each harmful gas component, and y=1, 2, 3…n1, n1 represents the total number of numbers of each harmful gas component.

[0016] Furthermore, the specific process of solving the average rate of each harmful gas component is:

[0017] According to the formula: , and obtain the average rate Hc of each harmful gas component y, where t represents the time interval between each monitoring time point, represents the rate of release of each harmful gas component between the i-th monitoring time point and the i-1-th monitoring time point. Similarly, It represents the rate of release of each harmful gas component between the i-1th monitoring time point and the i-2th monitoring time point, and so on.

[0018] Furthermore, the specific process of solving the harmful gas assessment value is as follows:

[0019] Extract the content of each harmful gas component Hq i y and the average rate Hc y , normalized according to the formula: , and obtain the harmful gas assessment value Hqt, where η1 and η2 represent the set value coefficients respectively.

[0020] Furthermore, the specific process of solving the impurity content value of coal is:

[0021] Obtain the actual flow of each coal flow within the set time period, match and analyze the actual flow of each coal flow within the set time period with multiple preset flow intervals, each flow interval corresponds to a corresponding sampling frequency and sample quantity, and determine the sampling frequency and sample quantity according to the matched flow interval;

[0022] In a determined sampling time period, coal samples are collected from each coal flow according to a set sampling frequency, and each coal sample in the time period is mixed to obtain a coal sample to be analyzed;

[0023] The coal sample to be analyzed is subjected to an ashing operation. After the ashing operation is completed, the coal sample is cooled and weighed, and the residual ash weight is recorded;

[0024] The dry ash content of coal is calculated based on the mass difference of the sample before and after ashing. The calculation formula is as follows: Among them, A d is the dry ash content of coal; d represents the type of coal, when d=1, it represents gangue; when d=2, it represents medium coal; when d=3, it represents clean coal; m1 is the weight of the residual ash after ashing; m0 is the weight of the dry coal sample;

[0025] According to the formula: , get the impurity value Fhl of coal, where A d * Indicates the reference dry basis ash content.

[0026] Furthermore, the specific process of managing and analyzing the hydraulic operation parameters in the coal washing process is as follows:

[0027] According to the captured dust abnormal signal, the area of ​​the dust diffusion within a period of time is obtained, and the number of people contained in the area is obtained at the same time. The values ​​of the area of ​​the dust diffusion within a period of time and the number of people contained in the area are extracted, multiplied by the corresponding weight coefficients, and then added to obtain the impact hazard value;

[0028] Match and analyze the impact hazard value with the preset comparison interval table, which contains multiple comparison intervals, and each comparison interval corresponds to a hydraulic operation parameter, including water flow rate, water pressure, water volume and water temperature, and generate initial adjustment instructions, and perform initial adjustment on the hydraulic equipment in the coal washing process within a period of time according to the initial adjustment instructions;

[0029] According to the captured abnormal signal of harmful gas, the harmful gas assessment value is retrieved, and the difference between it and the preset harmful gas assessment threshold is calculated to obtain the harmful gas deviation value;

[0030] Matching and analyzing the harmful gas deviation value with the harmful gas deviation state table stored in the system, thereby obtaining the harmful gas deviation level, and each harmful gas deviation value corresponds to a harmful gas deviation level, and then matching it with the hydraulic operation parameters corresponding to the harmful gas deviation level, thereby obtaining the hydraulic operation parameters, and generating a re-adjustment instruction, and re-adjusting the hydraulic equipment according to the re-adjustment instruction;

[0031] According to the captured impurity abnormal signal, the impurity content value of the coal is retrieved, and the difference between it and the maximum value of the preset reference comparison interval is calculated to obtain the impurity content deviation value;

[0032] The impurity deviation value is matched and analyzed with the impurity deviation status table stored in the system to obtain the impurity deviation level, and each impurity deviation value corresponds to an impurity deviation level. At the same time, it is matched with the hydraulic operation parameters corresponding to the impurity deviation level to obtain the hydraulic operation parameters, and the final adjustment instruction is generated. The hydraulic equipment is finally adjusted according to the final adjustment instruction.

[0033] Furthermore, the verification module is used to obtain the adjusted impact hazard value, harmful gas deviation value and impurity content deviation value for normalization processing to obtain a comprehensive verification judgment value;

[0034] Compare and analyze the comprehensive verification judgment value with the preset comprehensive verification judgment threshold, and if the comprehensive verification judgment value is greater than or equal to the preset comprehensive verification judgment threshold, generate a verification abnormality signal;

[0035] According to the captured verification abnormal signal, a shutdown command is triggered, and according to the triggered shutdown command, a shutdown operation is performed within the set P time period.

[0036] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0037] 1. The present invention can quickly capture the changes in dust concentration, harmful gas content and coal flow impurities through real-time monitoring and analysis of key pollutants in the coal washing process, and generate abnormal signals, thereby ensuring that problems can be discovered in time and handled accordingly. Compared with the traditional method that relies on manual detection, it achieves higher automation and accuracy and reduces human errors;

[0038] 2. The present invention automatically adjusts the hydraulic operation parameters (including water flow rate, water pressure, water volume and water temperature) in the coal washing process based on different pollution conditions by receiving abnormal signals of dust, harmful gases and impurities, and realizes dynamic management. Different from the traditional manual control, the present invention automatically generates the initial adjustment instruction, the secondary adjustment instruction and the final adjustment instruction through intelligent management, so that the adjustment of hydraulic operation parameters is more accurate and efficient, thereby optimizing the coal washing process and improving production efficiency.

[0039] 3. The present invention can significantly reduce pollutant emissions in the coal washing process through comprehensive monitoring and control of dust, harmful gases and impurities, reduce harm to the environment and workers, and through intelligent regulation, hydraulic operation parameters can be adjusted in time to inhibit dust diffusion, reduce harmful gas release, control impurity content, and reduce safety risks in the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 making creative work are within the scope of protection of the present invention.

[0043] like Figure 1As shown, a coal washing monitoring and management system for a coal washing plant includes: a dust monitoring and analysis module, a harmful gas monitoring and analysis module, an impurity monitoring and analysis module, a regulation management module, a verification module and a display terminal;

[0044] The dust monitoring and analysis module is used to monitor and analyze the dust status during the coal washing process. The specific monitoring and analysis are as follows:

[0045] The dust concentration value at each monitoring time point in the coal washing process within a period of time is obtained in real time (the time interval between each monitoring time point is uniform), and a period of time is used as the horizontal coordinate and the dust concentration value is used as the vertical coordinate. Based on this, a dynamic coordinate system of dust concentration is established, and the dust concentration values ​​in the coal washing process within a period of time are marked one by one as data points on the dynamic coordinate system of dust concentration. At the same time, discrete data points are sequentially connected with line segments, thereby obtaining a dust concentration fluctuation diagram;

[0046] The dust concentration values ​​corresponding to adjacent data points in the dust concentration fluctuation graph are calculated by subtracting them to obtain the dust concentration difference. If the dust concentration difference is greater than zero, it means that the dust concentration is rising. The line segment with the dust concentration difference greater than zero is marked as a rising line segment. Then, the angle between each rising line segment and the horizontal axis is obtained by calculating its slope (i.e., the quantitative representation of the inclination of the line segment). The slope value is converted into an angle value through the inverse tangent function, thereby obtaining the rising angle value of each rising line segment and marking it as Fd. s , s represents the number of each ascending line segment, and s=1, 2, 3…m, m represents the total number of ascending line segment numbers, according to the formula: , get the dust concentration trend value Fqs, where Fd s-1 represents the rise angle value of the s-1th rising line segment, a1 represents a set correction factor, which is used to improve the accuracy of the calculation result. The specific setting of the correction factor is reasonably set by those skilled in the art according to the actual situation;

[0047] The dust concentration trend value is compared and analyzed with the preset dust concentration trend threshold value. When the dust concentration trend value is greater than or equal to the preset dust concentration trend threshold value, a dust abnormality signal is generated; otherwise, a dust normal signal is generated.

[0048] Sending the generated dust abnormality signal to the regulation management module;

[0049] The regulation management module is used to receive dust abnormality signals, thereby managing and analyzing the hydraulic operation parameters in the coal washing process. The specific analysis process is as follows:

[0050] According to the captured dust abnormal signal, the area of ​​the dust diffusion within a period of time is obtained, and the number of people contained in the area is obtained at the same time. The values ​​of the area of ​​the dust diffusion within a period of time and the number of people contained in the area are extracted, multiplied by the corresponding weight coefficients, and then added to obtain the impact hazard value;

[0051] It should be noted that the area of ​​dust diffusion is set as follows: taking the source of dust generation as the reference point, that is, the center of the circle, a series of concentric circles are drawn according to multiple pre-set gradient radii, and sensors are arranged in each concentric circle area. These sensors can monitor and record the dust concentration in the area in real time, and the areas of all concentric circle areas with dust concentration ≥ 3mg / m³ are accumulated or the maximum impact range is taken (depending on specific needs), so as to determine the area of ​​dust diffusion;

[0052] Match and analyze the impact hazard value with the preset comparison interval table. The comparison interval table contains multiple comparison intervals, and each comparison interval corresponds to a hydraulic operation parameter. The hydraulic operation parameters include water flow rate, water pressure, water volume and water temperature. Generate an initial adjustment instruction, and perform initial adjustment on the hydraulic equipment in the coal washing process within a period of time according to the initial adjustment instruction, and display a notification on the display terminal;

[0053] In a specific embodiment, the present invention determines the comparison interval of the current hazard influencing value, and then identifies the hydraulic operation parameters that need to be adjusted, thereby not only effectively controlling the dust concentration in the working environment to maintain it within a safe range, but also further improving the overall efficiency and safety of the coal washing operation, ensuring the smooth progress of the production process and the health and safety of personnel.

[0054] The harmful gas monitoring and analysis module is used to monitor and analyze the harmful gas status in the coal washing process. The specific monitoring and analysis are:

[0055] The types of gas components released during the coal washing process within a period of time are detected by a component detector to obtain the types of gas components released during the coal washing process within a period of time, and they are matched with the set types of harmful gas components to obtain the harmful gas components released during the coal washing process within a period of time. At the same time, the content of each harmful gas component released during the coal washing process within a period of time is detected by a component detector to obtain the content of each harmful gas component released during the coal washing process within a period of time, which is recorded as Hq i y , i represents the number of each monitoring time point within a period of time, and i=1, 2, 3…n, n represents the total number of numbers of each monitoring time point within a period of time, y represents the number of each harmful gas component, and y=1, 2, 3…n1, n1 represents the total number of numbers of each harmful gas component;

[0056] According to the formula: , and obtain the average rate Hc of each harmful gas component released during coal washing over a period of time y , where t represents the time interval between each monitoring time point, represents the rate of release of each harmful gas component between the i-th monitoring time point and the i-1-th monitoring time point. Similarly, It represents the rate of release of each harmful gas component between the i-1th monitoring time point and the i-2th monitoring time point, and so on;

[0057] Extract the content of each harmful gas component released during coal washing over a period of time Hq i y and the average rate Hc y , normalized according to the formula: , and obtain the harmful gas assessment value Hqt, where η1 and η2 represent the set value coefficients respectively;

[0058] Compare and analyze the harmful gas evaluation value with the preset harmful gas evaluation threshold value. When the harmful gas evaluation value is greater than or equal to the preset harmful gas evaluation threshold value, a harmful gas abnormal signal is generated; otherwise, a harmful gas normal signal is generated;

[0059] Sending the generated harmful gas abnormality signal to the regulation management module;

[0060] The regulation management module is used to receive abnormal signals of harmful gases, thereby managing and analyzing the hydraulic operation parameters in the coal washing process. The specific analysis process is as follows:

[0061] According to the captured abnormal signal of harmful gas, the harmful gas assessment value is retrieved, and the difference between it and the preset harmful gas assessment threshold is calculated to obtain the harmful gas deviation value;

[0062] Match and analyze the harmful gas deviation value with the harmful gas deviation state table stored in the system, thereby obtaining the harmful gas deviation level, and each harmful gas deviation value corresponds to a harmful gas deviation level, and then match it with the hydraulic operation parameters corresponding to the harmful gas deviation level, thereby obtaining the hydraulic operation parameters, and generate a re-adjustment instruction, re-adjust the hydraulic equipment according to the re-adjustment instruction, and display a notification on the display terminal;

[0063] In a specific embodiment, the present invention monitors the state of harmful gases in the coal washing process to obtain a harmful gas evaluation value, analyzes the harmful gas evaluation value and a preset harmful gas evaluation threshold, thereby obtaining a harmful gas deviation level, and adjusts the hydraulic operation parameters based on the deviation level, thereby ensuring that the hydraulic operation parameters can be accurately regulated according to the actual harmful gas emission situation. The readjustment of the equipment ensures that the optimization control can be performed according to the continuity of the harmful gas change, further reducing the emission of harmful gases and improving environmental protection performance.

[0064] The impurity monitoring and analysis module is used to monitor and analyze the ash status of each coal flow in the coal washing process. The specific monitoring and analysis are:

[0065] Obtain the actual flow of each coal flow (such as gangue, medium coal, and clean coal) within a set time period, match and analyze the actual flow of each coal flow within the set time period with multiple preset flow intervals, each flow interval corresponds to a corresponding sampling frequency and sample quantity, and determine the sampling frequency and sample quantity based on the matched flow interval;

[0066] In a determined sampling time period, coal samples are collected from each coal flow according to a set sampling frequency, and each coal sample in the time period is mixed to obtain a coal sample to be analyzed;

[0067] The mixed coal sample to be analyzed is dried to remove moisture to avoid affecting the determination of ash content, and then the dried coal sample to be analyzed is crushed to a particle size of less than 0.2 mm;

[0068] Use a balance to weigh a predetermined mass (5g or 10g) of the coal sample to be analyzed, place it in an ash dish, put the ash dish into a muffle furnace, and gradually increase the temperature to the ash temperature range (500°C-815°C) according to the requirements of the relevant standard (GB / T212-2008). Maintain the high temperature to completely burn the organic matter in the coal sample to be analyzed. The remaining inorganic residue is the ash content of the coal sample to be analyzed;

[0069] After the ashing is completed, the ashing dish is taken out from the muffle furnace and placed in a desiccator for cooling. After cooling, the ashing sample is weighed using a balance and the residual ash weight is recorded;

[0070] The dry ash content of coal is calculated based on the mass difference of the sample before and after ashing. The calculation formula is as follows: Among them, A d is the dry ash content of coal; d represents the type of coal, when d=1, it represents gangue; when d=2, it represents medium coal; when d=3, it represents clean coal; m1 is the weight of the residual ash after ashing; m0 is the weight of the dry coal sample;

[0071] According to the formula: , get the impurity value Fhl of coal, where A d * Indicates the reference dry basis ash content;

[0072] Compare and analyze the impurity content value of the coal with the preset reference comparison interval. When the impurity content value of the coal is outside the preset reference comparison interval, an impurity abnormal signal is generated, otherwise, an impurity normal signal is generated;

[0073] Sending the generated impurity abnormality signal to the regulation management module;

[0074] The regulation management module is used to receive abnormal impurity signals, thereby managing and analyzing the hydraulic operation parameters in the coal washing process. The specific analysis process is as follows:

[0075] According to the captured impurity abnormal signal, the impurity content value of the coal is retrieved, and the difference between it and the maximum value of the preset reference comparison interval is calculated to obtain the impurity content deviation value;

[0076] The impurity deviation value is matched and analyzed with the impurity deviation state table stored in the system, thereby obtaining the impurity deviation level, and each impurity deviation value corresponds to an impurity deviation level, and then it is matched with the hydraulic operation parameters corresponding to the impurity deviation level, thereby obtaining the hydraulic operation parameters, and generating the final adjustment instruction, and finally adjusting the hydraulic equipment according to the final adjustment instruction, and displaying and notifying on the display terminal;

[0077] In a specific embodiment, the present invention monitors the ash status of each coal flow in the coal washing process to obtain the impurity content value of the coal, calculates the difference between the value and the maximum value of the reference comparison interval, obtains the impurity content deviation value, and makes adjustments after matching the impurity content deviation status table, thereby effectively improving the coal quality management efficiency in the coal washing process. The final adjustment ensures that the hydraulic operation parameters are further optimized on the basis of the previous adjustment, so that the impurity control in the entire coal washing process is more accurate and controllable, thereby ensuring the quality of the final product.

[0078] The verification module is used to obtain the adjusted impact hazard value Y xing , Harmful gas deviation value H sing And the impurity content deviation value Z king Normalization is performed according to the formula: , and obtain the comprehensive verification judgment value YZ xsking , where e1, e2, and e3 all represent natural constants, and λ1, λ2, and λ3 represent the set weight coefficients respectively;

[0079] Compare and analyze the comprehensive verification judgment value with the preset comprehensive verification judgment threshold value. If the comprehensive verification judgment value is greater than or equal to the preset comprehensive verification judgment threshold value, a verification abnormal signal is generated; otherwise, a verification normal signal is generated;

[0080] According to the captured verification abnormal signal, a shutdown command is triggered, and according to the triggered shutdown command, a shutdown operation is performed within the set P time period, and a display notification is performed on the display terminal.

[0081] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A coal washing monitoring and management system for a coal washing plant, characterized in that: include: The dust monitoring and analysis module is used to monitor and analyze the dust status during the coal washing process. The specific analysis is as follows: Obtain the dust concentration value at each monitoring time point in the coal washing process over a period of time in real time, and use the dust concentration value as a data point to obtain a dust concentration fluctuation graph; The dust concentration values ​​corresponding to adjacent data points in the dust concentration fluctuation graph are subtracted to obtain the dust concentration difference value. The line segments with dust concentration difference values ​​greater than zero are marked as rising line segments. Then, the angle between each rising line segment and the horizontal axis is obtained by calculating its slope, that is, the slope value is converted into an angle value, thereby obtaining the rising angle value Fd of each rising line segment. s , s represents the number of each ascending line segment, and s=1, 2, 3…m, m represents the total number of ascending line segment numbers, according to the formula: , get the dust concentration trend value Fqs, where Fd s-1 represents the rising angle value of the s-1th rising line segment, and a1 represents the set correction factor; Determine whether to generate a dust abnormality signal based on the dust concentration trend value; The harmful gas monitoring and analysis module is used to monitor and analyze the harmful gas status in the coal washing process. The specific analysis is as follows: By detecting the types of gas components released during the coal washing process over a period of time, the types of gas components released during the coal washing process over a period of time are obtained, and they are matched with the set types of harmful gas components to obtain the harmful gas components. At the same time, the content of each harmful gas component is detected to obtain the content of each harmful gas component, which is recorded as Hq i y , i represents the number of each monitoring time point within a period of time, and i=1, 2, 3…n, n represents the total number of numbers of each monitoring time point within a period of time, y represents the number of each harmful gas component, and y=1, 2, 3…n1, n1 represents the total number of numbers of each harmful gas component; According to the formula: , and obtain the average rate Hc of each harmful gas component y , where t represents the time interval between each monitoring time point, It represents the rate of release of each harmful gas component between the i-th monitoring time point and the i-1-th monitoring time point, It represents the rate of release of each harmful gas component between the i-1th monitoring time point and the i-2th monitoring time point, and so on; Extract the content of each harmful gas component Hq i y and the average rate Hc y , normalized according to the formula: , and obtain the harmful gas assessment value Hqt, where η1 and η2 represent the set value coefficients respectively; Determining whether to generate a harmful gas abnormal signal based on the harmful gas evaluation value; The impurity monitoring and analysis module is used to monitor and analyze the ash status of each coal flow during the coal washing process. The specific analysis is as follows: Obtain the actual flow of each coal flow within the set time period, match and analyze the actual flow of each coal flow within the set time period with multiple preset flow intervals, each flow interval corresponds to a corresponding sampling frequency and sample quantity, and determine the sampling frequency and sample quantity according to the matched flow interval; In a determined sampling time period, coal samples are collected from each coal flow according to a set sampling frequency, and each coal sample in the time period is mixed to obtain a coal sample to be analyzed; The coal sample to be analyzed is subjected to an ashing operation. After the ashing operation is completed, the coal sample is cooled and weighed, and the residual ash weight is recorded; The dry ash content of coal is calculated based on the mass difference of the sample before and after ashing. The calculation formula is as follows: Among them, A d is the dry ash content of coal; d represents the type of coal, when d=1, it represents gangue; when d=2, it represents medium coal; when d=3, it represents clean coal; m1 is the weight of the residual ash after ashing; m0 is the weight of the dry coal sample; According to the formula: , get the impurity value Fhl of coal, where A d * Indicates the reference dry basis ash content; Determining whether an impurity abnormality signal is generated based on the impurity content value of the coal; The regulation management module is used to receive dust abnormality signals, harmful gas abnormality signals and impurity abnormality signals, and manage and analyze the hydraulic operation parameters in the coal washing process. The specific analysis is as follows: According to the captured dust abnormality signal, the area of ​​the dust diffusion within a period of time is obtained, and the number of people contained in the area is obtained at the same time. The values ​​of the area of ​​the dust diffusion within a period of time and the number of people contained in the area are extracted to calculate the impact hazard value; Match and analyze the impact hazard value with the preset comparison interval table, which contains multiple comparison intervals, and each comparison interval corresponds to a hydraulic operation parameter, including water flow rate, water pressure, water volume and water temperature, and generate initial adjustment instructions, and perform initial adjustment on the hydraulic equipment in the coal washing process within a period of time according to the initial adjustment instructions; According to the captured abnormal signal of harmful gas, the harmful gas assessment value is retrieved, and the difference between it and the preset harmful gas assessment threshold is calculated to obtain the harmful gas deviation value; Determine the harmful gas deviation level according to the harmful gas deviation value, thereby obtain the hydraulic operation parameters, and generate a readjustment instruction, and readjust the hydraulic equipment according to the readjustment instruction; According to the captured impurity abnormal signal, the impurity content value of the coal is retrieved, and the difference between it and the maximum value of the preset reference comparison interval is calculated to obtain the impurity content deviation value; Determine the impurity deviation level according to the impurity deviation value, thereby obtaining the hydraulic operation parameters, and generate the final adjustment instruction, and make the final adjustment to the hydraulic equipment according to the final adjustment instruction; A verification module is used to obtain the adjusted impact hazard value, harmful gas deviation value and impurity content deviation value for normalization processing to obtain a comprehensive verification judgment value; Compare and analyze the comprehensive verification judgment value with the preset comprehensive verification judgment threshold, and if the comprehensive verification judgment value is greater than or equal to the preset comprehensive verification judgment threshold, generate a verification abnormality signal; According to the captured verification abnormal signal, a shutdown command is triggered, and according to the triggered shutdown command, a shutdown operation is performed within the set P time period.

Images