A feedforward automatic regulating system for raw coal ash content before washing

Abstract

The present application relates to the technical field of raw coal ash content regulation, in particular to a raw coal ash content feedforward automatic regulation system, comprising a coal sampling module, a sub-mine impurity detection module, a coal impurity analysis module, a washing parameter analysis module, a washing amount tracking module, an execution terminal and a cloud database. The physical and chemical detection of each sub-mine ensures the accuracy and scientificity of raw coal ash content detection, greatly improves the reliability of raw coal ash content detection results, and further provides strong data support for the analysis of subsequent washing operation parameters. By analyzing the washing parameters of raw coal mines, the washing effect of coal mines can be effectively optimized, achieving higher washing amount, improving the utilization value of coal mines, avoiding resource waste caused by unreasonable washing amount operation, and further improving the consistency and stability of washed clean coal.

Description

Technical Field

[0001] This invention relates to the field of raw coal ash washing amount adjustment technology, specifically to a feedforward automatic adjustment system for raw coal ash washing amount. Background Technology

[0002] Raw coal ash content refers to the ash content in coal. Coal is a fossil fuel, its main component being carbon. Coal contains some non-combustible inorganic substances, and the residue left after combustion is called raw coal ash. Generally speaking, the higher the ash content, the lower the calorific value of the coal, and the more ash and slag are produced during combustion. The raw coal ash feed rate refers to the ash content in the washed coal obtained after coal washing and beneficiation. Coal washing and beneficiation is a commonly used coal processing method, mainly to improve coal quality and combustion efficiency. Therefore, it is necessary to analyze the automatic adjustment of the feed rate.

[0003] Traditionally, the control of the amount of ash entering the washing process of raw coal is usually done manually and automatically, which has a certain degree of subjectivity and one-sidedness. This results in the ash removal effect of the washing process not meeting the expected standard. At the same time, the defects in the control of the amount of ash entering the washing process may lead to insufficient ash removal or waste of coal resources.

[0004] Currently, after the coal washing and beneficiation operation is completed, secondary testing of the ash content after coal washing is often neglected, thus neglecting the secondary treatment of the coal. This not only fails to guarantee the instability of the washing and beneficiation effect, but also fails to ensure the consistency and stability of the finished coal product, thereby failing to maximize coal production. Summary of the Invention

[0005] The purpose of this invention is to provide an automatic feedforward adjustment system for the ash content of raw coal.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] The coal mine sampling module is used to sample the raw coal mine according to a preset sampling method to obtain the corresponding sub-mines of the raw coal mine;

[0008] The sub-ore impurity detection module is used to physically detect the impurity content of each sub-ore using a set detection device to obtain the impurity parameters corresponding to the physical detection of each sub-ore, and to chemically detect the impurity content of each sub-ore using a set chemical detection method to obtain the impurity parameters corresponding to the chemical detection of each sub-ore.

[0009] As a further improvement of the present invention, the impurity content of each sub-ore is physically detected by a set detection device to obtain the impurity parameters corresponding to each sub-ore. The specific detection method is as follows:

[0010] The elemental analyzer is used to detect the elemental types corresponding to each sub-mine, and the elemental types corresponding to each sub-mine are matched with the elemental types corresponding to the set influencing elements. If an elemental type is successfully matched with the elemental types corresponding to the set influencing elements, the elemental type is recorded as an influencing element, and then the influencing elements corresponding to each sub-mine are statistically obtained.

[0011] The content of each influencing element in each sub-ore was detected by an elemental analyzer to obtain the content of each influencing element in each sub-ore.

[0012] The apparent images of each sub-mine are collected by a camera, and the apparent images of each sub-mine are uniformly divided to obtain the apparent images of each sub-mine.

[0013] The appearance images corresponding to each sub-mineral are matched with the appearance images corresponding to each set foreign object. If a certain appearance image is successfully matched with the appearance image corresponding to a certain foreign object, the appearance image is recorded as the foreign object image. The foreign objects corresponding to each sub-mineral are counted. The foreign objects include: soil, plants, rocks, etc.

[0014] Extract the foreign object area from the foreign object images corresponding to each sub-mine, obtain the foreign object area corresponding to each sub-mine, and sum them to obtain the total foreign object area corresponding to each sub-mine, which is used as the apparent foreign object area corresponding to each sub-mine.

[0015] The impurity parameters for each sub-ore are determined by the content of each influencing element and the area of ​​apparent foreign matter in each sub-ore, which are the basis for physical testing.

[0016] As a further improvement of the present invention, the impurity content of each sub-ore is chemically detected using a predetermined chemical detection method to obtain the corresponding impurity parameters for each sub-ore. The specific detection method is as follows:

[0017] Each sub-ore is subjected to high-temperature combustion using a pre-defined chemical detection method. After complete combustion, the residue of each sub-ore is weighed using a weight sensor to obtain the weight of the residue of each sub-ore after complete combustion. The pre-defined chemical detection method is the oven method, which involves placing each sub-ore in a high-temperature oven and burning it at a high temperature.

[0018] The impurity parameters for each sub-ore are determined by the weight of the residue after complete combustion.

[0019] The coal mine impurity analysis module is used to analyze the quality value of each sub-mine based on the impurity parameters detected by physical and chemical tests, and obtain the quality value of each sub-mine. Then, it analyzes the ash content of the original coal mine and obtains the ash content of the original coal mine.

[0020] As a further improvement of the present invention, the quality value of each sub-ore is analyzed based on the impurity parameters obtained from physical and chemical detections. The specific analysis method is as follows:

[0021] The content values ​​of each influencing element and the apparent foreign matter area of ​​each sub-ore were extracted from the impurity parameters obtained from the physical testing of each sub-ore, and denoted as HL respectively. i j and S i , i represents the number of each sub-mine, j represents the number of each influencing element; i = 1, 2, ..., n, n represents the total number of sub-mines, which takes a positive integer value, j = 1, 2, ..., m, m represents the total number of influencing elements, which takes a positive integer value.

[0022] The content of each influencing element corresponding to each sub-ore is matched with the set reference content of each influencing element to obtain the reference content of each influencing element corresponding to each sub-ore, denoted as HL. ij 0;

[0023] Obtain the total apparent area corresponding to each sub-ore, denoted as S. i 0;

[0024] According to the formula Calculate the impurity impact value WP for each sub-ore corresponding to physical testing. i B i Let a1 and a2 represent the influence factors corresponding to the i-th influencing element, and let a1 and a2 represent the weighting factors, respectively.

[0025] The weight of the residue after complete combustion of each sub-ore was extracted from the impurity parameters obtained from the chemical analysis of each sub-ore, and denoted as G. i ;

[0026] Obtain the initial weight of each sub-ore, denoted as G. i 0;

[0027] According to the formula HP i =G i / G i 0*a3 calculates the impurity impact value (HP) for each sub-ore corresponding to chemical testing. i a3 represents the set weight factor;

[0028] According to formula ZG i =(1 / WP) i)*a4+(1 / GP i )*a5 calculates the quality estimate ZG for each sub-ore. i a4 and a5 represent the set weight factors, respectively.

[0029] As a further improvement to the present invention, the ash content of the original coal mine is analyzed, and the specific analysis method is as follows:

[0030] The quality value of each sub-mine is compared with the set reference quality value. If the quality value of a sub-mine is less than the set reference quality value, the sub-mine is recorded as an abnormal sub-mine. Otherwise, the sub-mine is recorded as a normal sub-mine. The number of abnormal sub-mines and the number of normal sub-mines are counted, and then normalized and their values ​​are recorded as YL and ZL respectively.

[0031] The quality values ​​of each abnormal sub-mineral and each normal sub-mineral are extracted from the quality value of each sub-mineral.

[0032] The difference between the quality value of each abnormal sub-mine and the set reference quality value is obtained. This difference is used as the quality difference of each abnormal sub-mine. The difference is then summed to obtain the comprehensive quality difference of the abnormal sub-mine. This comprehensive quality difference of the abnormal sub-mine is used as the comprehensive quality difference of the corresponding abnormal sub-mine of the original coal mine, and is denoted as YY.

[0033] The difference between the quality value of each normal sub-ore and the set reference quality value is obtained as the quantity-quality value of each normal sub-ore. The difference is then summed to obtain the quantity-quality value of the normal sub-ore, which is used as the quantity-quality value of the corresponding normal sub-ore of the original coal mine, denoted as YZ.

[0034] The ash content HF corresponding to the original coal mine is calculated according to the formula HF=(YL*b1+(1 / ZL)*b2+YY*b3+(1 / YZ)*b4)*100%, where b1, b2, b3, and b4 represent the set weight values.

[0035] The washing parameter analysis module is used to analyze the input parameters of the corresponding washing operation of the original coal mine based on the ash content of the original coal mine and the set of input parameters corresponding to the historical washing operation stored in the cloud database, to obtain the input parameters of the corresponding washing operation of the original coal mine, and to execute the corresponding washing operation based on the input parameters of the corresponding washing operation of the original coal mine.

[0036] As a further improvement of the present invention, the washing parameters of the corresponding washing operation of the raw coal mine are analyzed based on the ash content of the raw coal mine and the historical parameter set corresponding to each quality assessment value stored in the cloud database. The specific analysis method is as follows:

[0037] Extract the set of input parameters corresponding to the historical washing operations from the cloud database, and extract the historical input quantity corresponding to each input parameter in the historical washing operations from the set of input parameters corresponding to the historical washing operations, so as to obtain the historical input quantity corresponding to each input parameter in the historical washing operations.

[0038] Extract the target wash volume from the cloud database, match the target wash volume with the historical wash volume corresponding to each wash parameter in the historical wash operation, and if a historical wash volume corresponding to a certain wash parameter is successfully matched with the target wash volume, then record the wash parameter as a candidate wash parameter, and obtain each candidate wash parameter.

[0039] Extract the initial coal ash content and the post-wash coal ash content corresponding to each washing parameter from the historical washing volume of each washing operation, and subtract the initial coal ash content and the post-wash coal ash content corresponding to each washing parameter to obtain the washing volume corresponding to each washing parameter.

[0040] The ash content and target washing volume of the original coal mine are matched with the initial coal mine ash content and washing volume of each washing parameter. If the match is successful, the washing parameter is recorded as the secondary candidate washing parameter, and each secondary candidate washing parameter is obtained.

[0041] The intersection of each primary candidate washing parameter and each secondary washing parameter is calculated to obtain the same washing parameters. Then, the washing parameters are randomly selected from the same washing parameters as the washing parameters for the corresponding washing operation of the original coal mine.

[0042] The coal washing quantity tracking module is used to perform quality inspection and analysis on the raw coal after the corresponding washing operation, obtain the corresponding quality inspection value of the raw coal, and compare the corresponding quality inspection value of the raw coal with the target quality inspection value stored in the cloud database. If the corresponding quality inspection value of the raw coal is greater than the target quality inspection value, the corresponding coal washing result is rated as qualified; otherwise, the corresponding coal washing result is rated as unqualified.

[0043] As a further improvement to the present invention, the raw coal ore after the corresponding washing and beneficiation operations is subjected to quality testing and analysis, and the specific analysis method is as follows:

[0044] Sampling is carried out on the raw coal mine after the corresponding washing and beneficiation operation according to the preset sampling method to obtain each sub-mine corresponding to the raw coal mine after the corresponding washing and beneficiation operation, which is recorded as each sub-mine corresponding to the raw coal mine that performed the operation.

[0045] The raw coal mine is ground by a grinding mill to obtain the powder of each sub-mineral of the raw coal mine after the corresponding washing and screening operation is performed, which is used as the grinding powder of the raw coal mine.

[0046] The grinding powder corresponding to the raw coal mine is subjected to high-temperature combustion using a set chemical detection method. After complete combustion, the residue of the fully combusted grinding powder is weighed using a weight sensor. The weight of the residue is then normalized and recorded as GR.

[0047] The weight of the grinding powder corresponding to the raw coal mine is collected by a weight sensor, and the weight of the grinding powder corresponding to the raw coal mine is obtained and recorded as GR0.

[0048] The ash detection rate JH corresponding to the original coal mine is calculated according to the formula JH = GR / GR0 * 100%.

[0049] The quality inspection value ZJ corresponding to the original coal mine is calculated based on the formula ZJ = HF - JH.

[0050] The execution terminal is used to record the raw coal mine as clean coal if the washing result corresponding to the raw coal mine is qualified, and to display the washing result corresponding to the clean coal through the feedback terminal. If the washing result corresponding to the raw coal mine is unqualified, the coal mine sampling module is executed repeatedly until the washing result corresponding to the raw coal mine is qualified.

[0051] The beneficial effects of this invention are:

[0052] This invention samples raw coal mines and performs physical and chemical tests on each sub-mine to ensure the accuracy and scientific nature of ash content testing. This significantly improves the reliability of ash content testing results and provides strong data support for the analysis of feed parameters in subsequent washing operations.

[0053] This invention analyzes the ash content of raw coal and, based on this, analyzes the washing parameters of the corresponding coal washing operation. This effectively optimizes the coal washing effect and achieves a higher washing volume, which not only improves the utilization value of the coal but also avoids resource waste caused by unreasonable washing volume operation, further improving the consistency and stability of washed clean coal.

[0054] This invention performs quality testing and analysis on the raw coal after the corresponding washing and beneficiation operations, and analyzes the corresponding washing results of the raw coal based on the corresponding quality inspection values. Then, it performs corresponding operations based on the corresponding washing results of the raw coal, avoiding the phenomenon of insufficient ash removal due to insufficient washing volume. This invention can greatly improve the washing and beneficiation effect and product quality of washed clean coal. Attached Figure Description

[0055] The invention will now be further described with reference to the accompanying drawings.

[0056] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see Figure 1 As shown, the present invention is an automatic feedforward adjustment system for raw coal ash content washing amount, including: a coal mine sampling module, a sub-mine impurity detection module, a coal mine impurity analysis module, a washing parameter analysis module, a washing amount tracking module, an execution terminal, and a cloud database.

[0059] The coal mine sampling module is used to acquire a 3D image of the original coal mine and, based on the 3D image, to set up sampling points at both ends and the middle of the top of the original coal mine, as well as at both ends and the middle of the bottom of the original coal mine. This yields the volume of the original coal mine, which is then multiplied by a set sampling ratio to obtain the sampling volume of the original coal mine. Finally, based on each sampling point of the original coal mine, sampling is performed according to its corresponding sampling volume to obtain each sub-mine of the original coal mine.

[0060] The sub-ore impurity detection module is used to physically detect the impurity content of each sub-ore using pre-set detection equipment, obtaining the physical detection impurity parameters for each sub-ore. The specific detection steps are as follows:

[0061] The elemental analyzer is used to detect the elemental types corresponding to each sub-mine, and the elemental types corresponding to each sub-mine are matched with the elemental types corresponding to the set influencing elements. If an elemental type successfully matches the elemental types corresponding to the set influencing elements, the elemental type is recorded as an influencing element, and then the influencing elements corresponding to each sub-mine are statistically obtained.

[0062] The content of each influencing element in each sub-ore was detected by an elemental analyzer, and the content of each influencing element in each sub-ore was obtained.

[0063] The apparent images of each sub-mine are collected by a camera, and then the apparent images of each sub-mine are uniformly segmented to obtain the individual apparent images of each sub-mine.

[0064] Each sub-appearance image corresponding to a sub-mineral is matched with the appearance images corresponding to each set foreign object. If a sub-appearance image successfully matches the appearance image corresponding to a set foreign object, then the sub-appearance image is recorded as the foreign object image. The foreign object images corresponding to each sub-mineral are counted. The foreign objects include: soil, plants, rocks, etc.

[0065] Extract the foreign object area from the foreign object images corresponding to each sub-mine, obtain the foreign object area corresponding to each sub-mine, and sum them to obtain the total foreign object area corresponding to each sub-mine, which is taken as the apparent foreign object area corresponding to each sub-mine.

[0066] The impurity parameters for each sub-ore are determined by the content of each influencing element and the area of ​​apparent foreign matter in each sub-ore, which are the basis for physical testing.

[0067] The impurity content of each sub-ore was chemically tested using a pre-defined chemical detection method to obtain the corresponding impurity parameters for each sub-ore. The specific testing steps are as follows:

[0068] Each sub-ore was subjected to high-temperature combustion using a pre-defined chemical detection method. After complete combustion, the residue of each sub-ore was weighed using a weight sensor to obtain the weight of the residue for each sub-ore after complete combustion. The pre-defined chemical detection method was the oven method, which involved placing each sub-ore in a high-temperature oven and burning it at high temperature.

[0069] The impurity parameters for each sub-ore are determined by the weight of the residue after complete combustion.

[0070] In one specific embodiment, the present invention samples the raw coal mine and performs physical and chemical tests on each sub-mine to ensure the accuracy and scientific nature of the ash content test of the raw coal mine. This can greatly improve the reliability of the ash content test results of the raw coal mine and further provide strong data support for the analysis of the washing parameters in subsequent washing operations.

[0071] The coal mine impurity analysis module is used to analyze the quality value of each sub-mine based on the impurity parameters obtained from physical and chemical detection. The specific analysis steps are as follows:

[0072] The content values ​​of each influencing element and the apparent foreign matter area of ​​each sub-ore were extracted from the impurity parameters obtained from the physical testing of each sub-ore, and denoted as HL respectively. i j and S iLet i represent the number of each sub-mine, and j represent the number of each influencing element. i = 1, 2, ..., n, where n represents the total number of sub-mines and takes a positive integer value. j = 1, 2, ..., m, where m represents the total number of influencing elements and takes a positive integer value.

[0073] The content of each influencing element corresponding to each sub-ore is matched with the set reference content of each influencing element to obtain the reference content of each influencing element corresponding to each sub-ore, denoted as HL. ij 0.

[0074] Obtain the total apparent area corresponding to each sub-ore, denoted as S. i 0.

[0075] According to the formula Calculate the impurity impact value WP for each sub-ore corresponding to physical testing. i B i Let a1 and a2 represent the influence factors corresponding to the i-th influencing element, and let a1 and a2 represent the weighting factors, respectively.

[0076] The weight of the residue after complete combustion of each sub-ore was extracted from the impurity parameters obtained from the chemical analysis of each sub-ore, and denoted as G. i .

[0077] Obtain the initial weight of each sub-ore, denoted as G. i 0.

[0078] According to the formula HP i =G i / G i 0*a3 calculates the impurity impact value (HP) for each sub-ore corresponding to chemical testing. i a3 represents the set weight factor.

[0079] According to formula ZG i =(1 / WP) i )*a4+(1 / GP i )*a5 calculates the quality estimate ZG for each sub-ore. i a4 and a5 represent the set weight factors, respectively.

[0080] The ash content of the raw coal mine was analyzed to obtain the corresponding ash content. The specific analysis steps are as follows:

[0081] The quality value of each sub-mine is compared with the set reference quality value. If the quality value of a sub-mine is less than the set reference quality value, the sub-mine is recorded as an abnormal sub-mine. Otherwise, the sub-mine is recorded as a normal sub-mine. The number of abnormal sub-mines and the number of normal sub-mines are counted, and then normalized and their values ​​are recorded as YL and ZL respectively.

[0082] The quality values ​​of each abnormal sub-mineral and each normal sub-mineral are extracted from the quality value of each sub-mineral.

[0083] The difference between the quality estimate of each abnormal sub-mine and the set reference quality estimate is obtained. This difference is used as the quality estimate difference of each abnormal sub-mine. The sum of these differences is then used to obtain the comprehensive quality estimate difference of the abnormal sub-mines. This comprehensive quality estimate difference is used as the comprehensive quality estimate difference of the corresponding abnormal sub-mines in the original coal mine, and is denoted as YY.

[0084] The difference between the quality value of each normal sub-ore and the set reference quality value is obtained as the quantity-quality value of each normal sub-ore. The difference is then summed to obtain the quantity-quality value of the normal sub-ore, which is used as the quantity-quality value of the corresponding normal sub-ore of the original coal mine, denoted as YZ.

[0085] The ash content HF corresponding to the original coal mine is calculated according to the formula HF=(YL*b1+(1 / ZL)*b2+YY*b3+(1 / YZ)*b4)*100%, where b1, b2, b3, and b4 represent the set weight values.

[0086] The coal washing parameter analysis module is used to analyze the input parameters of the corresponding coal washing operation in the original coal mine based on the ash content of the original coal mine and the set of input parameters corresponding to historical coal washing operations stored in the cloud database. The specific analysis steps are as follows:

[0087] Extract the set of input parameters corresponding to historical washing operations from the cloud database, and extract the historical input quantity corresponding to each input parameter in the historical washing operations from the set of input parameters corresponding to the historical washing operations, so as to obtain the historical input quantity corresponding to each input parameter in the historical washing operations.

[0088] Extract the target wash volume from the cloud database, and match the target wash volume with the historical wash volume corresponding to each wash parameter in the historical wash operation. If a historical wash volume corresponding to a certain wash parameter is successfully matched with the target wash volume, then the wash parameter is recorded as a candidate wash parameter, thus obtaining each candidate wash parameter.

[0089] Extract the initial coal ash content and the post-wash coal ash content corresponding to each washing parameter from the historical washing volume of each washing operation, and subtract the initial coal ash content and the post-wash coal ash content corresponding to each washing parameter to obtain the washing volume corresponding to each washing parameter.

[0090] The ash content and target washing volume of the original coal mine are matched with the initial ash content and washing volume of the coal mine corresponding to each washing parameter. If the match is successful, the washing parameter is recorded as the secondary candidate washing parameter, and each secondary candidate washing parameter is obtained.

[0091] The intersection of each primary candidate washing parameter and each secondary washing parameter is calculated to obtain the same washing parameters. Then, the washing parameters are randomly selected from the same washing parameters as the washing parameters for the corresponding washing operation of the original coal mine.

[0092] In one specific embodiment, the present invention analyzes the ash content of the raw coal mine and, based on this, analyzes the washing parameters of the corresponding washing operation of the raw coal mine. This can effectively optimize the washing effect of the coal mine and achieve a higher washing volume, which not only improves the utilization value of the coal mine, but also avoids resource waste caused by unreasonable washing volume operation, and further improves the consistency and stability of the washed clean coal.

[0093] The corresponding washing and beneficiation operations are performed based on the input parameters of the original coal mine's corresponding washing and beneficiation operations.

[0094] The coal washing volume tracking module is used to perform quality inspection and analysis on the raw coal after the corresponding washing and beneficiation operations, and to obtain the corresponding quality inspection value of the raw coal. The specific execution steps are as follows:

[0095] After the corresponding washing and beneficiation operations are performed, raw coal from the mine is sampled according to a preset sampling method, specifically:

[0096] A 3D image of the raw coal mine is acquired, and sampling points are set up at both ends and the middle of the top of the raw coal mine based on the 3D image. Sampling points are also set up at both ends and the middle of the bottom of the raw coal mine. This yields the sampling points of the raw coal mine. The volume of the raw coal mine is obtained and multiplied by a set sampling ratio to obtain the sampling volume of the raw coal mine. Then, based on the sampling points of the raw coal mine, sampling is performed according to their corresponding sampling volumes to obtain the sub-mines of the raw coal mine.

[0097] The raw coal mine is ground by a grinding mill to obtain powder corresponding to each sub-ore of the raw coal mine after the corresponding washing and beneficiation operation, which is used as the grinding powder corresponding to the raw coal mine.

[0098] The grinding powder corresponding to the raw coal mine is subjected to high-temperature combustion using a set chemical detection method. After complete combustion, the residue of the fully combusted grinding powder is weighed using a weight sensor. The weight of the residue is then normalized and recorded as GR.

[0099] The weight of the grinding powder corresponding to the raw coal mine is collected by a weight sensor, and the weight of the grinding powder corresponding to the raw coal mine is obtained and recorded as GR0.

[0100] The ash detection rate JH corresponding to the original coal mine is calculated according to the formula JH = GR / GR0 * 100%.

[0101] The quality inspection value ZJ corresponding to the original coal mine is calculated based on the formula ZJ = HF - JH.

[0102] The quality inspection value corresponding to the raw coal mine is compared with the target quality inspection value stored in the cloud database. If the quality inspection value corresponding to the raw coal mine is greater than the target quality inspection value, the washing result corresponding to the raw coal mine is rated as qualified; otherwise, the washing result corresponding to the raw coal mine is rated as unqualified.

[0103] The execution terminal is used to record the raw coal mine as clean coal if the washing result corresponding to the raw coal mine is qualified, and to display the washing result corresponding to the clean coal through the feedback terminal. If the washing result corresponding to the raw coal mine is unqualified, the coal mine sampling module is executed repeatedly until the washing result corresponding to the raw coal mine is qualified.

[0104] In one specific embodiment, the present invention performs quality testing and analysis on the raw coal after performing the corresponding washing and beneficiation operation, and analyzes the corresponding washing result of the raw coal based on the corresponding quality inspection value of the raw coal. Then, based on the corresponding washing result of the raw coal, the corresponding operation is performed, which avoids the phenomenon of insufficient ash removal due to the low washing volume. This can greatly improve the washing and beneficiation effect and product quality of the washed clean coal.

[0105] The cloud database is used to store the set of input parameters corresponding to historical washing operations, the target input quantity, and the target quality inspection value.

[0106] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. An automatic feedforward adjustment system for raw coal ash content washing rate, characterized in that, include: The coal mine sampling module is used to sample the raw coal mine according to a preset sampling method to obtain the corresponding sub-mines of the raw coal mine; The sub-ore impurity detection module is used to physically detect the impurity content of each sub-ore using a set detection device to obtain the impurity parameters corresponding to the physical detection of each sub-ore, and to chemically detect the impurity content of each sub-ore using a set chemical detection method to obtain the impurity parameters corresponding to the chemical detection of each sub-ore. The coal mine impurity analysis module is used to analyze the quality value of each sub-mine based on the impurity parameters detected by physical and chemical tests, and obtain the quality value of each sub-mine. Then, it analyzes the ash content of the original coal mine and obtains the ash content of the original coal mine. The quality assessment of each sub-ore is analyzed based on the impurity parameters obtained from physical and chemical testing. The specific analysis method is as follows: The content values ​​of each influencing element and the apparent foreign matter area of ​​each sub-ore were extracted from the impurity parameters obtained from the physical testing of each sub-ore, and denoted as HL respectively. i j and S i i represents the number of each sub-mine, j represents the number of each influencing element, j=1,2,...,m, and m represents the total number of influencing elements; The content of each influencing element corresponding to each sub-ore is matched with the set reference content of each influencing element to obtain the reference content of each influencing element corresponding to each sub-ore, denoted as HL. ij 0; Obtain the total apparent area corresponding to each sub-ore, denoted as S. i 0; According to the formula Calculate the impurity impact value WP for each sub-ore corresponding to physical testing. i B i Let a1 and a2 represent the influence factors corresponding to the i-th influencing element, and let a1 and a2 represent the weighting factors, respectively. The weight of the residue after complete combustion of each sub-ore was extracted from the impurity parameters obtained from the chemical analysis of each sub-ore, and denoted as G. i ; Obtain the initial weight of each sub-ore, denoted as G. i 0; According to the formula HP i =G i / G i 0*a3 calculates the impurity impact value (HP) for each sub-ore corresponding to chemical testing. i a3 represents the set weight factor; According to formula ZG i =(1 / WP i )*a4+(1 / HP i )*a5 calculates the quality estimate ZG for each sub-ore. i a4 and a5 represent the set weighting factors, respectively; The analysis of the ash content of the raw coal mine is conducted using the following method: The quality value of each sub-mine is compared with the set reference quality value. If the quality value of a sub-mine is less than the set reference quality value, the sub-mine is recorded as an abnormal sub-mine. Otherwise, the sub-mine is recorded as a normal sub-mine. The number of abnormal sub-mines and the number of normal sub-mines are counted, and then normalized and their values ​​are recorded as YL and ZL respectively. The quality values ​​of each abnormal sub-mineral and each normal sub-mineral are extracted from the quality value of each sub-mineral. The difference between the quality value of each abnormal sub-mine and the set reference quality value is obtained. This difference is used as the quality difference of each abnormal sub-mine. The difference is then summed to obtain the comprehensive quality difference of the abnormal sub-mine. This comprehensive quality difference of the abnormal sub-mine is used as the comprehensive quality difference of the corresponding abnormal sub-mine of the original coal mine, and is denoted as YY. The difference between the quality value of each normal sub-mine and the set reference quality value is obtained. This difference is used as the quantity-quality value of each normal sub-mine. The difference is then summed to obtain the quantity-quality value of the normal sub-mine, which is used as the quantity-quality value of the corresponding normal sub-mine of the original coal mine, denoted as YZ. The ash content HF corresponding to the original coal mine is calculated according to the formula HF=(YL*b1+(1 / ZL)*b2+YY*b3+(1 / YZ)*b4)*100%, where b1, b2, b3, and b4 represent the set weight values ​​respectively. The washing parameter analysis module is used to analyze the input parameters of the corresponding washing operation of the original coal mine based on the ash content of the original coal mine and the set of input parameters corresponding to the historical washing operation stored in the cloud database, to obtain the input parameters of the corresponding washing operation of the original coal mine, and to execute the corresponding washing operation based on the input parameters of the corresponding washing operation of the original coal mine. The washing volume tracking module is used to perform quality inspection and analysis on the raw coal mine after performing the corresponding washing operation, obtain the corresponding quality inspection value of the raw coal mine, and compare the corresponding quality inspection value of the raw coal mine with the target quality inspection value stored in the cloud database. If the corresponding quality inspection value of the raw coal mine is greater than the target quality inspection value, the washing result of the raw coal mine is rated as qualified; otherwise, the washing result of the raw coal mine is rated as unqualified. The execution terminal is used to record the raw coal mine as clean coal if the washing result corresponding to the raw coal mine is qualified, and to display the washing result corresponding to the clean coal through the feedback terminal. If the washing result corresponding to the raw coal mine is unqualified, the coal mine sampling module is executed repeatedly until the washing result corresponding to the raw coal mine is qualified.

2. The feedforward automatic adjustment system for raw coal ash content washing rate according to claim 1, characterized in that, The impurity content of each sub-ore is physically detected using a set detection device to obtain the impurity parameters corresponding to each sub-ore. The specific detection method is as follows: The elemental analyzer is used to detect the elemental types corresponding to each sub-mine, and the elemental types corresponding to each sub-mine are matched with the elemental types corresponding to the set influencing elements. If an elemental type is successfully matched with the elemental types corresponding to the set influencing elements, the elemental type is recorded as an influencing element, and then the influencing elements corresponding to each sub-mine are statistically obtained. The content of each influencing element in each sub-ore was detected by an elemental analyzer to obtain the content of each influencing element in each sub-ore. The apparent images of each sub-mine are collected by a camera, and the apparent images of each sub-mine are uniformly divided to obtain the apparent images of each sub-mine. The apparent images corresponding to each sub-mine are matched with the apparent images corresponding to each foreign object. If a sub-apparent image matches the apparent image corresponding to a foreign object, the sub-apparent image is recorded as the foreign object image. The foreign object images corresponding to each sub-mine are counted. The foreign object area in the foreign object images corresponding to each sub-mine is extracted from the foreign object images corresponding to each sub-mine. The foreign object areas corresponding to each sub-mine are obtained and summed to obtain the total foreign object area corresponding to each sub-mine, which is used as the apparent foreign object area corresponding to each sub-mine. The impurity parameters for each sub-ore are determined by the content of each influencing element and the area of ​​apparent foreign matter in each sub-ore, which are the basis for physical testing.

3. The feedforward automatic adjustment system for raw coal ash content washing rate according to claim 1, characterized in that, The impurity content of each sub-ore is chemically detected using a pre-defined chemical detection method to obtain the corresponding impurity parameters for each sub-ore. The specific detection method is as follows: Each sub-ore is subjected to high-temperature combustion using a set chemical detection method. After each sub-ore is fully combusted, the residue of each sub-ore after full combustion is weighed using a weight sensor to obtain the weight of the residue of each sub-ore after full combustion. The impurity parameters for each sub-ore are determined by the weight of the residue after complete combustion.

4. The feedforward automatic adjustment system for raw coal ash content washing rate according to claim 1, characterized in that, The analysis of the input parameters for the corresponding washing operations in the original coal mine is based on the ash content of the original coal mine and the set of input parameters corresponding to historical washing operations stored in the cloud database. The specific analysis method is as follows: Extract the set of input parameters corresponding to the historical washing operations from the cloud database, and extract the historical input quantity corresponding to each input parameter in the historical washing operations from the set of input parameters corresponding to the historical washing operations, so as to obtain the historical input quantity corresponding to each input parameter in the historical washing operations. Extract the target wash volume from the cloud database, match the target wash volume with the historical wash volume corresponding to each wash parameter in the historical wash operation, and if a historical wash volume corresponding to a certain wash parameter is successfully matched with the target wash volume, then record the wash parameter as a candidate wash parameter, and obtain each candidate wash parameter. Extract the initial coal ash content and the post-wash coal ash content corresponding to each washing parameter from the historical washing volume of each washing operation, and subtract the initial coal ash content and the post-wash coal ash content corresponding to each washing parameter to obtain the washing volume corresponding to each washing parameter. The ash content and target washing volume of the original coal mine are matched with the initial coal mine ash content and washing volume of each washing parameter. If the match is successful, the washing parameter is recorded as the secondary candidate washing parameter, and each secondary candidate washing parameter is obtained. The intersection of each primary candidate washing parameter and each secondary washing parameter is calculated to obtain the same washing parameters. Then, the washing parameters are randomly selected from the same washing parameters as the washing parameters for the corresponding washing operation of the original coal mine.

5. The feedforward automatic adjustment system for raw coal ash content washing rate according to claim 1, characterized in that, The specific analysis method for quality testing and analysis of raw coal after the corresponding washing and beneficiation operations is as follows: Sampling is carried out on the raw coal mine after the corresponding washing and beneficiation operation according to the preset sampling method to obtain each sub-mine corresponding to the raw coal mine after the corresponding washing and beneficiation operation, which is recorded as each sub-mine corresponding to the raw coal mine that performed the operation. The raw coal mine is ground by a grinding mill to obtain the powder of each sub-mineral of the raw coal mine after the corresponding washing and screening operation is performed, which is used as the grinding powder of the raw coal mine. The grinding powder corresponding to the raw coal mine is subjected to high-temperature combustion using a set chemical detection method. After complete combustion, the residue of the fully combusted raw coal mine grinding powder is weighed using a weight sensor to obtain the weight of the residue. The ash detection rate JH corresponding to the raw coal mine is obtained through analysis, and then the quality inspection value corresponding to the raw coal mine is obtained.

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