Coking coal blending device

Abstract

The invention relates to the field of coking and coal blending, and discloses a coking and coal blending device, which comprises a computing device for acquiring a plurality of test data and coal blending cost of a local coking and coal blending scheme corresponding to production target information from a local coking and coal blending scheme library, selecting a first number of local coking coal blending schemes from the local coking coal blending scheme sequence according to a descending order of coking coal quality substandard numbers, and removing the local coking coal blending schemes; acquiring a newly added coking coal blending scheme group from the cloud, and determining a target coking coal blending scheme according to the matching degree and the coal blending cost of each updated local coking coal blending scheme; and sending the plurality of coal type formula proportions to an automatic coal blending device. Therefore, automatic proportioning of different types of coal is realized.

Description

Technical Field

[0001] The invention relates to the field of coking coal blending, and in particular to a coking coal blending device. Background Art

[0002] In the coking industry, coal blending is a key link before coking, which directly affects the quality and production cost of coke. The purpose of coal blending is to mix different types of coal in a certain proportion according to production goals and coal quality characteristics to obtain blended coal that meets production requirements.

[0003] The existing coking coal blending process often has the following technical problems: First, in the actual production process, as the number of coal blending increases and experience accumulates, the number of solutions in the local coking coal blending solution library will gradually increase, and the difficulty of selecting a coal blending solution will also increase. However, if these coal blending solutions are not adjusted and optimized in time, it may lead to problems such as reduced production efficiency, increased costs, or substandard coking coal quality; Second, the unreasonable placement of the reduction motor on the belt conveyor may cause coal accumulation near the equipment, reducing the safety production efficiency and belt operation efficiency; the traditional method of cleaning the coal accumulation relies too much on manual labor to determine the location of the coal accumulation and rely on manual labor to clean the coal accumulation location, resulting in untimely cleaning of the coal accumulation and increasing the safety risk of manual cleaning of the coal accumulation; Third, the gap between the hammer heads of the crushing equipment in the coking coal blending device is small, resulting in an overly fine crushing effect and a smaller particle size of the blended coal, which in turn affects the quality of the coke. In addition, the hammer heads are frequently damaged, increasing maintenance costs and the risk of production interruptions. Summary of the invention

[0004] The summary of the invention is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The summary of the invention is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0005] The present invention proposes a coking coal blending device to solve one or more of the technical problems mentioned in the above background technology part.

[0006] The present invention provides a coking coal blending device, comprising: a computing device, the computing device is used to obtain multiple local coking coal blending schemes corresponding to production target information from a local coking coal blending scheme library, determine multiple test data and coal blending costs corresponding to each local coking coal blending scheme; for each local coking coal blending scheme, determine the non-standard quantity corresponding to the coking coal quality non-standard data group corresponding to each local coking coal blending scheme; sort the multiple local coking coal blending schemes in descending order of the non-standard quantity to obtain a local coking coal blending scheme sequence, select a first number of local coking coal blending schemes from the local coking coal blending scheme sequence in descending order, and remove them from the local coking coal blending scheme library to obtain a first updated local coking coal blending scheme group; The computing device is also used to obtain a newly added coking coal blending scheme group and the coal blending cost of each newly added coking coal blending scheme from the cloud according to the first focus indicator set, add the newly added coking coal blending scheme group to the first updated local coking coal blending scheme group, and obtain a second updated local coking coal blending scheme group; obtain a second focus indicator set for each second updated local coking coal blending scheme, and determine the matching degree of each second updated local coking coal blending scheme according to the number of overlaps between the second focus indicator set and the first focus indicator set; determine a target coking coal blending scheme according to the matching degree and coal blending cost of each second updated local coking coal blending scheme, the target coking coal blending scheme including multiple coal type formula ratios; and send the multiple coal type formula ratios to the automatic coal blending device.

[0007] Optionally, each of the multiple test data has a corresponding comprehensive quality score; and The data set of coking coal quality failures was obtained through the following steps: The test data having a comprehensive quality score less than a preset comprehensive quality score among the multiple test data are determined as data that do not meet the quality standards for coking coal, thereby obtaining a data group that does not meet the quality standards for coking coal.

[0008] Optionally, the coking coal blending device of the present invention further includes: The automatic coal blending device is used to blend multiple types of coal according to the formula ratio of multiple coal types to obtain blended coal; the automatic coal blending device is also equipped with a belt conveyor equipment, and the belt conveyor equipment is used to transport the blended coal to the crushing equipment.

[0009] Optionally, the coking coal blending device of the present invention further includes: The crushing equipment is equipped with multiple impact hammer assemblies. The crushing equipment is used to crush the mixed coal through multiple impact hammer assemblies to obtain the crushed coal and send it into the coal tower.

[0010] Optionally, the target coking coal blending scheme is determined by the following steps: Obtain a preset coking coal blending scheme comparison table, which includes multiple matching degrees, matching scores corresponding to each matching degree, multiple coal blending costs, and cost scores corresponding to each coal blending cost; match the matching degree and coal blending cost of each second updated local coking coal blending scheme in the second updated local coking coal blending scheme group in the preset coking coal blending scheme comparison table to obtain the matching degree score and coal blending cost score corresponding to each second updated local coking coal blending scheme; Weights are respectively configured for the matching score and the coal blending cost score corresponding to the second updated local coking coal blending scheme, and the matching score and the coal blending cost score corresponding to each second updated local coking coal blending scheme in the second updated local coking coal blending scheme group are weighted and summed up by the weights to determine the total score corresponding to each second updated local coking coal blending scheme; the second updated local coking coal blending scheme group is sorted in descending order according to the total score corresponding to each second updated local coking coal blending scheme to obtain a second updated local coking coal blending scheme sequence, and the second updated local coking coal blending scheme ranked first in the second updated local coking coal blending scheme sequence is determined as the target coking coal blending scheme.

[0011] Optionally, a reduction motor is arranged on one side of the belt conveyor device, and a first weighing device is arranged between the belt conveyor device and the crushing device. The first weighing device is used to collect the amount of coal accumulation that does not enter the crushing device during the process of the mixed coal from the belt conveyor device to the crushing device. The calculation device is also used to: Obtain historical test information corresponding to the reduction motor within the target time period, the historical test information including multiple reduction motor position information, the amount of coal accumulation corresponding to each reduction motor position information, and the total downtime for cleaning caused by coal accumulation corresponding to each reduction motor position information; wherein the reduction motor position information is based on any point of the crushing equipment as the origin, and the position information of the center point of the reduction motor is determined as the reduction motor position information, and the reduction motor position information includes abscissa and ordinate; The plurality of reduction motor position information are sorted in order of coal accumulation from small to large to obtain a first reduction motor position information sequence, and the reduction motor position information ranked first in the first reduction motor position information sequence is determined as the first candidate reduction motor position information.

[0012] Optionally, the computing device is further configured to: Sort the plurality of reduction motor position information in ascending order according to the total downtime cleaning time to obtain a second reduction motor position information sequence, and determine the reduction motor position information ranked first in the second reduction motor position information sequence as the second candidate reduction motor position information; Determine the target reduction motor position information according to the first candidate reduction motor position information and the second candidate reduction motor position information; The target reduction motor position information is sent to the management terminal corresponding to the reduction motor, so that the staff corresponding to the management terminal moves the reduction motor to the position corresponding to the target reduction motor position information.

[0013] Optionally, the target reduction motor position information is determined by the following steps: Compare the first candidate reduction motor position information with the second candidate reduction motor position information to determine whether the first candidate reduction motor position information and the second candidate reduction motor position information are consistent, and if they are consistent, use the first candidate reduction motor position information or the second candidate reduction motor position information as the target reduction motor position information; If they are inconsistent, the first candidate reduction motor position information and the second candidate reduction motor position information are averaged to obtain a calculation result, and the calculation result is used as the target reduction motor position information.

[0014] Optionally, the belt conveyor device is provided with a second weighing device, which is used to collect material weight information on the belt conveyor device, the material weight information including a material position information sequence and a material weight corresponding to each material position information, and the calculation device is further used to: Obtain material weight information of a belt conveyor corresponding to each historical time period in a plurality of historical time periods, determine material position information whose material weight is greater than or equal to a preset material weight in a material position information sequence corresponding to each historical time period as coal accumulation position information, and obtain a coal accumulation position information group corresponding to each historical time period; Adding the occurrence frequencies of the same coal accumulation location information in multiple coal accumulation location information groups corresponding to multiple historical time periods to obtain the number of coal accumulation times for each coal accumulation location information; The coal accumulation position information whose coal accumulation times are greater than or equal to the preset coal accumulation times is determined as the coal accumulation frequent position information, and a coal accumulation frequent position information group is obtained; The real-time material weight of each frequent coal accumulation location information in the frequent coal accumulation location information group is obtained; if the real-time material weight of the frequent coal accumulation location information is greater than or equal to the preset real-time material weight, a coal cleaning instruction is generated, and the coal cleaning instruction is sent to the belt cleaning equipment, so that the belt cleaning equipment cleans the frequent coal accumulation locations corresponding to the frequent coal accumulation location information.

[0015] The present invention has the following beneficial effects: 1. The problem of difficulty in selecting a coal blending scheme due to the large number of schemes in the local coking coal blending scheme library, as well as the problem of substandard coking coal quality and increased coal blending costs in the schemes are solved. By eliminating local coking coal blending schemes with poor coking coal quality and obtaining new coking coal blending schemes from the cloud and adding them to the local coking coal blending scheme library, the overall quality of local coking coal blending schemes is improved, and the local coking coal blending scheme library is gradually optimized to ensure that the schemes it contains are more in line with the quality requirements of production targets. Specifically, by analyzing multiple test data of each local coking coal blending scheme and combining it with the test data whose comprehensive quality score is lower than the preset threshold, we can quickly locate the local coking coal blending schemes whose coking coal quality does not meet the standards, and select a part of them for elimination, thereby optimizing the quality of the local coking coal blending scheme library; new coking coal blending schemes are introduced from the cloud based on the focus indicator set, so that the newly added coking coal blending schemes are more in line with actual production needs and more targeted; through the matching degree of each coking coal blending scheme with the production target and combined with the coal blending cost of each coking coal blending scheme, the target coking coal blending scheme is selected, so that the selected target coking coal blending scheme achieves the best balance between quality and economy.

[0016] 2. Solved the problem of low equipment operation efficiency of belt conveyor equipment and reduction motors caused by coal accumulation. Specifically, the position information of multiple reduction motors is double-sorted by the amount of coal accumulation and the total shutdown time for cleaning, and the reduction motor is placed in a position where coal is not easy to accumulate and the belt conveyor equipment has the highest operating efficiency. The target reduction motor position can reduce the cleaning frequency and shutdown time caused by coal accumulation, and improve the operating efficiency of the belt conveyor equipment; when the position information of the first alternative reduction motor and the second alternative reduction motor are inconsistent, the average value calculation method is used to further improve the rationality of equipment adjustment; further, the second weighing device is used to collect the position information of the belt conveyor The material weight and location information can accurately locate the location of coal accumulation, avoiding the errors that may be caused by traditional reliance on manual observation or experience judgment. Based on the coal accumulation data of multiple historical time periods, the frequency of occurrence of coal accumulation locations is accumulated and calculated, so as to find the locations where coal accumulation occurs frequently, and improve the pertinence of cleaning. When the material weight of the location where coal accumulation occurs frequently exceeds the preset threshold, the coal accumulation cleaning instruction is automatically generated and sent to the belt cleaning equipment, realizing automated cleaning operations, reducing the safety risks of manual cleaning of coal accumulation, and improving the safety of the coking coal blending process. Timely cleaning of coal accumulation can prevent unnecessary downtime caused by coal accumulation, while reducing the safety hazards and equipment damage risks that may be caused by coal accumulation. 3. The problems of unqualified coke quality and frequent hammer maintenance caused by small coal particle size are solved. Specifically, the hammer handle length is screened through the coal particle size data in the historical operation record of the crushing equipment, and the hammer handle length within the preset range of coal particle size is added to the candidate group. Combined with the difference analysis between the qualified rate of coal after crushing and the preset qualified rate, the target hammer handle length finally determined can significantly improve the qualified rate of coal quality of the crushing equipment; according to the sorting of the number of hammer maintenance times, the hammer combination arrangement pattern with the least number of maintenance times is preferentially selected as the target hammer combination arrangement pattern, which extends the continuous operation time of the crushing equipment, reduces the downtime caused by maintenance, and thus reduces the maintenance cost. Overall, the qualified rate of coal quality is improved, the operating efficiency of the crushing equipment is improved, and the maintenance cost of the crushing equipment is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0018] Figure 1 It is an exemplary structural schematic diagram of a coking coal blending device of the present invention. DETAILED DESCRIPTION

[0019] The present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0020] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0021] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0022] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0023] The names of the messages or information exchanged between multiple devices of the present invention are only for illustrative purposes, and are not used to limit the scope of these messages or information.

[0024] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0025] like Figure 1 , which is an exemplary structural diagram of a coking coal blending device of the present invention, the coking coal blending device includes a computing device 101, an automatic coal blending device 102, a belt conveyor device 103, a crushing device 104, a plurality of impact hammer assemblies 105, a coal tower 106, a reduction motor 107, a first weighing device 108, a second weighing device 109, a first coal conveying device 110 and a second coal conveying device 111. In order to facilitate the description of the present invention, Figure 1 Only some key equipment of the coking coal blending device is shown. Other equipment may be included in practice as needed, including but not limited to: belt cleaning equipment, etc. It is understandable that Figure 1 The equipment of the coking coal blending device included in the description is only for illustrating the application scenarios of the coking coal blending device and does not constitute a limitation on the coking coal blending device.

[0026] A computing device 101, the computing device 101 is used to obtain multiple local coking coal blending schemes corresponding to production target information from a local coking coal blending scheme library, determine multiple test data and coal blending costs corresponding to each local coking coal blending scheme in the multiple local coking coal blending schemes, wherein each of the multiple test data has a corresponding comprehensive quality score; for each local coking coal blending scheme, determine the test data with a comprehensive quality score less than a preset comprehensive quality score in the multiple test data as coking coal quality non-standard data, obtain a coking coal quality non-standard data group, and determine the non-standard quantity corresponding to the coking coal quality non-standard data group corresponding to each local coking coal blending scheme; sort the multiple local coking coal blending schemes in descending order of the number of non-standard quantities to obtain a local coking coal blending scheme sequence, select a first number of local coking coal blending schemes from the local coking coal blending scheme sequence in descending order, and remove them from the local coking coal blending scheme library to obtain a first updated local coking coal blending scheme group; In some embodiments, the computing device 101 may be a background server, and the production target information may be one of the following: production of metallurgical coke, production of chemical coke, or production of power generation coke, etc. The local coking coal blending scheme library includes multiple local coking coal blending schemes corresponding to each production target information in multiple production target information. When the production target information is different, the quality requirements for the production of coking coal are different, so the coking coal blending scheme is also different, and the coking coal blending scheme includes multiple coal type formula ratios. For example, the quality requirements for the production of power generation coke are mainly concentrated in terms of calorific value, ash content, sulfur content, etc. The quality requirements for the production of metallurgical coke are mainly concentrated in higher fixed carbon content and moderate volatile matter, as well as lower ash content and sulfur content. Taking the production target information of producing metallurgical coke as an example, the multiple local coking coal blending plans corresponding to the production of metallurgical coke can be local coking coal blending plan 1: the coal blending ratio is: 50% of main coking coal and 1 / 3 coking coal, 25% of gas coal, 15% of fat coal, 5% of lean coal, and 5% of weakly sticky coal, among which 1 / 3 of coking coal provides moderate adhesion and swelling properties, improves the strength and reactivity of coke, gas coal promotes volatility, fat coal has strong adhesion, mainly improves the mechanical strength of coke, and weakly sticky coal reduces ash and sulfur content.

[0027] In some embodiments, the background server locally stores a local coking coal blending plan table, which includes multiple local coking coal blending plans, multiple test data and coal blending costs corresponding to each local coking coal blending plan, and on this basis, multiple test data and coal blending costs corresponding to each local coking coal blending plan are obtained from the local coking coal blending plan table, wherein each of the multiple test data has a corresponding comprehensive quality score. Specifically, take the local coking coal blending scheme 1 among multiple local coking coal blending schemes as an example. The multiple test data corresponding to the local coking coal blending scheme 1 are obtained by producing multiple types of coal according to the local coking coal blending scheme 1 and conducting multiple quality tests on the coking coal after production. Each test data may include multiple quality parameter indicators and scores corresponding to each quality parameter indicator, such as crushing strength M40 (60 points), wear resistance M10 (70 points), reactivity CRI (45 points) and post-reaction strength CSR (78 points). According to actual production needs, weights are assigned to multiple quality parameter indicators respectively, and the comprehensive quality score corresponding to each test data is obtained by weighted summation, which may be 85 points. The coal blending cost corresponding to the local coking coal blending scheme 1 refers to the cost determined by the proportion of different types of coal in the scheme and their corresponding prices when producing metallurgical coke, which may be 935 yuan / ton.

[0028] In some embodiments, the data of coking coal quality not meeting the standard refers to the test data whose comprehensive quality score is less than the preset comprehensive quality score, and the preset comprehensive quality score can be a user-defined comprehensive quality score. If the comprehensive quality scores of 5 test data included in the local coking coal blending scheme one are less than the preset comprehensive quality score, the number of non-compliance corresponding to the local coking coal blending scheme one can be 5. Sort the multiple local coking coal blending schemes in order of the number of non-compliance from large to small to obtain a sequence of local coking coal blending schemes. If the number of non-compliance of the local coking coal blending scheme three is 12, the number of non-compliance of the local coking coal blending scheme two is 3, and the number of non-compliance of the local coking coal blending scheme one is 5, then the sequence of local coking coal blending schemes can be local coking coal blending scheme three, local coking coal blending scheme one, and local coking coal blending scheme two. The first number of local coking coal blending schemes are selected from the local coking coal blending scheme sequence in descending order, and are removed from the local coking coal blending scheme library to obtain the first updated local coking coal blending scheme group, wherein the "first number" can be a fixed value set or dynamically adjusted according to actual conditions. The purpose of removing unqualified coal blending schemes is to improve the overall quality of the coal blending schemes and gradually optimize the local coking coal blending scheme library to ensure that the schemes it contains better meet the quality requirements of the production target.

[0029] The computing device 101 is also used to obtain a first focus indicator set corresponding to the production target information, obtain a newly added coking coal blending scheme group and the coal blending cost of each newly added coking coal blending scheme in the newly added coking coal blending scheme group from the cloud according to the first focus indicator set, add the newly added coking coal blending scheme group to the first updated local coking coal blending scheme group, and obtain a second updated local coking coal blending scheme group; obtain a second focus indicator set for each second updated local coking coal blending scheme in the second updated local coking coal blending scheme group, and determine the matching degree of each second updated local coking coal blending scheme according to the number of overlaps between the second focus indicator set of each second updated local coking coal blending scheme and the first focus indicator set; determine a target coking coal blending scheme according to the matching degree and coal blending cost of each second updated local coking coal blending scheme, the target coking coal blending scheme including multiple coal type formula ratios; send the multiple coal type formula ratios to the automatic coal blending device 102; In some embodiments, the backend server locally stores a production target emphasis index table, on this basis, obtains a first emphasis index set corresponding to the production target information from the production target emphasis index table, the production target emphasis index table includes multiple production target information, and an emphasis index set corresponding to each production target information, for example, the production target information is the production of metallurgical coke, and the emphasis index set corresponding to the production of metallurgical coke includes thermal strength, expansion, and coal cohesion. According to the emphasis index set corresponding to the production of metallurgical coke, the newly added coking coal blending scheme group and the coal blending cost of each newly added coking coal blending scheme in the newly added coking coal blending scheme group are obtained from the cloud, and the sources of the coking coal blending scheme on the cloud include the coking coal blending schemes of historical production of multiple enterprises, multiple coking coal blending schemes in the industry shared database, and multiple coking coal blending schemes generated by intelligent algorithms. The backend server locally stores a coking coal blending scheme comparison table, on this basis, obtains a second emphasis index set for each second updated local coking coal blending scheme from the coking coal blending scheme comparison table, and the coking coal blending scheme comparison table includes multiple coking coal blending schemes and an emphasis index set for each coking coal blending scheme.

[0030] In some embodiments, in practice, the second updated local coking coal blending scheme group may include multiple second updated local coking coal blending schemes, and only the second updated local coking coal blending scheme 1 and the second updated local coking coal blending scheme 2 are used as examples for explanation. If the second focus index set of the second updated local coking coal blending scheme 1 is thermal strength, expansion, and coal cohesion, it can be seen from the above that the number of overlaps with the first focus index set is 3. If the second focus index set of the second updated local coking coal blending scheme 2 is thermal strength, shrinkage, and fluidity, it can be seen from the above that the number of overlaps with the first focus index set is 1. The background server locally stores a comparison table of overlapping quantities of emphasis indicators, which includes multiple overlapping quantities and the matching degree of schemes corresponding to each overlapping quantity. On this basis, the matching degree of each second updated local coking coal blending scheme is obtained by matching the overlapping quantity of the second emphasis indicator set of each second updated local coking coal blending scheme with the first emphasis indicator set in the comparison table of overlapping quantities of emphasis indicators. For example, the matching degree of the second updated local coking coal blending scheme one is 98%, and the matching degree of the second updated local coking coal blending scheme two is 78%.

[0031] In some embodiments, optionally, the target coking coal blending scheme is determined by the following steps: Obtain a preset coking coal blending scheme comparison table, which includes multiple matching degrees, matching scores corresponding to each matching degree, multiple coal blending costs, and cost scores corresponding to each coal blending cost; match the matching degree and coal blending cost of each second updated local coking coal blending scheme in the second updated local coking coal blending scheme group in the preset coking coal blending scheme comparison table to obtain the matching degree score and coal blending cost score corresponding to each second updated local coking coal blending scheme; In some embodiments, the backend server locally stores a preset coking coal blending scheme comparison table, which includes multiple matching degrees, matching scores corresponding to each matching degree, multiple coal blending costs, and cost scores corresponding to each coal blending cost.

[0032] Weights are respectively configured for the matching score and the coal blending cost score corresponding to the second updated local coking coal blending scheme, and the matching score and the coal blending cost score corresponding to each second updated local coking coal blending scheme in the second updated local coking coal blending scheme group are weighted and summed up by the weights to determine the total score corresponding to each second updated local coking coal blending scheme; the second updated local coking coal blending scheme group is sorted in descending order according to the total score corresponding to each second updated local coking coal blending scheme to obtain a second updated local coking coal blending scheme sequence, and the second updated local coking coal blending scheme ranked first in the second updated local coking coal blending scheme sequence is determined as the target coking coal blending scheme.

[0033] In some embodiments, the greater the total score corresponding to the local coking coal blending scheme, the higher the ranking in the second updated local coking coal blending scheme sequence. The second updated local coking coal blending scheme sequence may include a second updated local coking coal blending scheme 1 and a second updated local coking coal blending scheme 2. Among them, the second updated local coking coal blending scheme 1 is ranked first, and the second updated local coking coal blending scheme 1 is determined as the target coking coal blending scheme.

[0034] The automatic coal blending device 102 is used to blend multiple types of coal according to the formula ratio of multiple coal types to obtain blended coal; the automatic coal blending device 102 is also equipped with a belt conveyor 103, which is used to convey the blended coal to the crushing device 104; In some embodiments, the automatic coal blending device 102 is one of the coal blending equipment, which can automatically control the amount of each single type of coal according to the multiple coal type formula ratios in the target coking coal blending scheme to ensure the accuracy and constancy of the blending ratio and the amount of coal, and obtain blended coal after blending. The belt conveyor device 103 can be a weighing belt conveyor, which is used to cooperate with the first coal conveying device 110 to convey the blended coal to the crushing device 104, and the coal conveying device can be a coal conveying corridor or a coal conveying trestle.

[0035] The crushing equipment 104 is equipped with a plurality of impact hammer assemblies 105 . The crushing equipment 104 is used to crush the mixed coal through the plurality of impact hammer assemblies 105 , obtain the crushed coal and send it into the coal tower 106 .

[0036] In some embodiments, the crushed coal is delivered into the coal tower 106 through the second coal conveying device 111 .

[0037] In some embodiments, the problem of difficulty in selecting a coal blending scheme due to the large number of schemes in the local coking coal blending scheme library, as well as the problem of substandard coking coal quality and increased coal blending costs in the schemes are solved. By eliminating local coking coal blending schemes with poor coking coal quality and obtaining new coking coal blending schemes from the cloud and adding them to the local coking coal blending scheme library, the overall quality of local coking coal blending schemes is improved, and the local coking coal blending scheme library is gradually optimized to ensure that the schemes it contains better meet the quality requirements of production targets. Specifically, by analyzing multiple test data of each local coking coal blending scheme and combining it with the test data whose comprehensive quality score is lower than the preset threshold, we can quickly locate the local coking coal blending schemes whose coking coal quality does not meet the standards, and select a part of them for elimination, thereby optimizing the quality of the local coking coal blending scheme library; new coking coal blending schemes are introduced from the cloud based on the focus indicator set, so that the newly added coking coal blending schemes are more in line with actual production needs and more targeted; through the matching degree of each coking coal blending scheme with the production target and combined with the coal blending cost of each coking coal blending scheme, the target coking coal blending scheme is selected, so that the selected target coking coal blending scheme achieves the best balance between quality and economy.

[0038] In some embodiments, in order to further solve the second technical problem described in the background technology section, namely, "the unreasonable placement of the reduction motor on the belt conveyor may cause coal accumulation near the equipment, reducing the safety production efficiency and the belt operation efficiency; in the traditional method of cleaning the accumulated coal, it is too dependent on manual labor to determine the location of the accumulated coal and rely on manual labor to clean the accumulated coal location, resulting in untimely cleaning of the accumulated coal and increasing the safety risk of manual cleaning of the accumulated coal", in some embodiments of the present invention, a reduction motor 107 is configured on one side of the belt conveyor, and a first weighing device 108 is provided between the belt conveyor and the crushing device. The first weighing device 108 is used to collect the amount of accumulated coal that has not entered the crushing device during the process of the combined coal from the belt conveyor 103 to the crushing device 104, and the calculation device 101 is also used to: Step 1: Obtain historical test information corresponding to the reduction motor within the target time period, the historical test information including multiple reduction motor position information, the amount of coal accumulation corresponding to each reduction motor position information, and the total downtime for cleaning caused by coal accumulation corresponding to each reduction motor position information; wherein the reduction motor position information is based on any point of the crushing equipment as the origin, and the position information of the center point of the reduction motor is determined as the reduction motor position information, and the reduction motor position information includes a horizontal coordinate and a vertical coordinate; In some embodiments, one of the two sides of the belt conveyor 103 is equipped with a reduction motor 107. The main function of the reduction motor 107 is to provide power for the belt conveyor and adjust the output speed and torque through the reduction mechanism to meet the requirements of material transportation. The first weighing device 108 is connected to the background server through a sensor communication protocol (such as Modbus, CAN bus, etc.), and the first weighing device 108 can be a weighing sensor. The historical test information corresponding to the reduction motor in the target time period is obtained from the first weighing device 108. The historical test information includes multiple reduction motor position information, the amount of coal accumulation corresponding to each reduction motor position information, and the total downtime cleaning time caused by coal accumulation corresponding to each reduction motor position information. If the installation position of the reduction motor is not designed properly, the total shutdown time for cleaning due to coal accumulation may be extended. The reasons may be as follows: 1. If the reduction motor is installed near the chute drop point, the material is likely to gather or rebound here, resulting in coal accumulation around the reduction motor. It may be necessary to shut down and dismantle some equipment for cleaning, which takes longer; 2. The coal accumulation covers the heat dissipation port or ventilation part of the reduction motor, causing the equipment to shut down due to overheating. Overheating shutdown may require longer cooling and maintenance; 3. The reduction motor and the surrounding cables, pipelines or other ancillary equipment are not arranged properly. When cleaning the coal accumulation, it is necessary to protect the pipelines and cables, which increases the difficulty of operation. Specifically, the target time period is the time period specified by the user, which can be the past day. The historical test information is a plurality of measured data collected from multiple positions to determine the position where the reduction motor is not prone to coal accumulation and has the highest operating efficiency during operation. Among them, the historical test information includes multiple reduction motor position information, which can be (50, 45), (60, 45), (70, 50), wherein the reduction motor position information is based on any point on the crushing equipment as the origin (0, 0), and the position information of the center point of the reduction motor is determined as the reduction motor position information, and the reduction motor position information includes abscissa and ordinate, and the unit of the coordinate is decimeter. For example, in the past day, when the reduction motor was at position (50, 45), the amount of coal that did not enter the crushing equipment during the process of conveying the coal from the belt conveyor to the crushing equipment was 10 kg, and the total shutdown time for cleaning due to coal accumulation was 60 minutes. In the past day, when the reduction motor was at position (60, 45), the amount of coal accumulation was 20 kg, and the total shutdown time for cleaning due to coal accumulation was 75 minutes.

[0039] Step 2: sorting the plurality of reduction motor position information in ascending order of coal accumulation to obtain a first reduction motor position information sequence, and determining the reduction motor position information ranked first in the first reduction motor position information sequence as the first candidate reduction motor position information; In some embodiments, the first reduction motor position information sequence can be (50, 45), (60, 45), (70, 50), among which (50, 45) is ranked first and has the least amount of coal accumulation, and (50, 45) is determined as the first alternative reduction motor position information.

[0040] Step three, sorting the plurality of reduction motor position information in ascending order according to the total downtime cleaning time to obtain a second reduction motor position information sequence, and determining the reduction motor position information ranked first in the second reduction motor position information sequence as the second candidate reduction motor position information; Step 4: determining the target reduction motor position information according to the first candidate reduction motor position information and the second candidate reduction motor position information; In some embodiments, the target reduction motor position information is determined by the following steps: Compare the first candidate reduction motor position information with the second candidate reduction motor position information to determine whether the first candidate reduction motor position information and the second candidate reduction motor position information are consistent, and if they are consistent, use the first candidate reduction motor position information or the second candidate reduction motor position information as the target reduction motor position information; In some embodiments, the abscissa and ordinate included in the first candidate reduction motor position information are compared with the abscissa and ordinate included in the second candidate reduction motor position information, respectively. If the abscissa and ordinate of the two are the same at the same time, the first candidate reduction motor position information and the second candidate reduction motor position information are consistent. For example, when the first candidate reduction motor position information is (50, 45) and the second candidate reduction motor position information is (50, 45), the two are consistent, and (50, 45) is used as the target reduction motor position information.

[0041] If they are inconsistent, the first candidate reduction motor position information and the second candidate reduction motor position information are averaged to obtain a calculation result, and the calculation result is used as the target reduction motor position information.

[0042] In some embodiments, when the first candidate reduction motor position information is (50, 45) and the second candidate reduction motor position information is (50, 55), the two are inconsistent, and the first candidate reduction motor position information and the second candidate reduction motor position information are averaged, and the abscissa included in the first candidate reduction motor position information and the abscissa included in the second candidate reduction motor position information are first added and then divided by two to obtain the abscissa included in the target reduction motor position information. The ordinate included in the first candidate reduction motor position information and the ordinate included in the second candidate reduction motor position information are first added and then divided by two to obtain the ordinate included in the target reduction motor position information, and the target reduction motor position information is (50, 50).

[0043] Step five: sending the target reduction motor position information to the management terminal corresponding to the reduction motor, so that the staff corresponding to the management terminal moves the reduction motor to the position corresponding to the target reduction motor position information.

[0044] In some embodiments, the target reduction motor position information (50, 50) is sent to the management terminal corresponding to the reduction motor 107, so that the staff corresponding to the management terminal moves the reduction motor 107 to the position (50, 50), wherein the management terminal corresponding to the reduction motor can be the staff's work mobile phone.

[0045] The belt conveyor 103 is provided with a second weighing device 109, which is used to collect the material weight information on the belt conveyor 103. The material weight information includes a material position information sequence and a material weight corresponding to each material position information. The calculation device 101 is also used to: Step 1: Obtain material weight information of the belt conveyor corresponding to each historical time period in multiple historical time periods, determine the material position information whose material weight is greater than or equal to the preset material weight in the material position information sequence corresponding to each historical time period as the coal accumulation position information, and obtain the coal accumulation position information group corresponding to each historical time period; In some embodiments, the second weighing device 109 is connected to the backend server through a sensor communication protocol, and the second weighing device 109 can be a weighing sensor. The belt conveyor is covered with a second weighing device 109, with any corner of the second weighing device as the origin, the unit is decimeter, and multiple position information on the second weighing device 109 constitutes a material position information sequence, and the material position information sequence can be (10, 20), (10, 21), (10, 22) ... (50, 20), (50, 21), (50, 22), etc., the unit is decimeter, and these points correspond to different material positions in sequence.

[0046] In some embodiments, the coking plant terminal stores the material weight information of the belt conveyor corresponding to each historical time period. On this basis, the material weight information of the belt conveyor corresponding to each historical time period in multiple historical time periods is obtained from the coking plant terminal. The multiple historical time periods may be from 9 to 10, 10 to 11, 11 to 12, 12 to 13, etc. on a certain day. In practice, multiple historical time periods may be included, and only the three time periods of 9 to 10, 10 to 11, and 11 to 12 are used as examples for explanation.

[0047] In some embodiments, from 9:00 to 10:00, the material weight corresponding to (10, 20) is 12 kg, which is greater than the preset material weight, and (10, 20) is determined as the coal accumulation location information, wherein the preset material weight is a user-defined material weight, which can be 10 kg. From 10:00 to 11:00, if (10, 20), (20, 58), (50, 20) are coal accumulation location information, wherein the coal accumulation location information group corresponding to 10:00 to 11:00 is (10, 20), (20, 58), (50, 20). If the coal accumulation location information group corresponding to 11:00 to 12:00 is (10, 20), (50, 20), in practice, the coal accumulation location information group corresponding to each historical time period may include multiple coal accumulation location information, and only some of them are used as examples for explanation here.

[0048] Step 2: adding the occurrence frequencies of the same coal accumulation location information in multiple coal accumulation location information groups corresponding to multiple historical time periods to obtain the coal accumulation times of each coal accumulation location information; In some embodiments, in the three time periods from 9:00 to 10:00, 10:00 to 11:00, and 11:00 to 12:00, the sum of the occurrence frequencies of (10, 20) is equal to three, and the number of coal accumulations in (10, 20) is three; the sum of the occurrence frequencies of (20, 58) is equal to one, and the number of coal accumulations in (20, 58) is one; the sum of the occurrence frequencies of (50, 20) is equal to two, and the number of coal accumulations in (50, 20) is two.

[0049] Step 3: determining the coal accumulation position information with a coal accumulation frequency greater than or equal to a preset coal accumulation frequency as the coal accumulation frequent position information, and obtaining a coal accumulation frequent position information group; In some embodiments, the number of coal accumulations at (10, 20) is three times, and the number of coal accumulations at (50, 20) is two times, both of which are greater than or equal to the preset number of coal accumulations (which may be two times). Therefore, (10, 20) and (50, 20) are determined as frequent coal accumulation location information and added to the frequent coal accumulation location information group. The frequent coal accumulation locations may be the head, tail, near the drop point, and belt roller of the belt conveyor.

[0050] Step four, obtaining the real-time material weight of each frequent coal accumulation location information in the frequent coal accumulation location information group; if the real-time material weight of the frequent coal accumulation location information is greater than or equal to the preset real-time material weight, generating a coal cleaning instruction, and sending the coal cleaning instruction to the belt cleaning device, so that the belt cleaning device cleans the frequent coal accumulation location corresponding to the frequent coal accumulation location information.

[0051] In some embodiments, during the operation of the belt conveyor, the real-time material weight of each location where coal frequently accumulates is obtained from the second weighing device. If the real-time material weight of the location where coal frequently accumulates is greater than or equal to the preset real-time material weight, an instruction to clean the accumulated coal is generated. Specifically, the preset real-time material weight may be a user-defined real-time material weight. The belt cleaning device may be a belt cleaner disposed on both sides of the belt conveyor. The real-time material weight of each location where coal frequently accumulates is strictly monitored. Once the real-time material weight of the location where coal frequently accumulates is greater than or equal to the preset real-time material weight, an instruction to clean the accumulated coal is generated to control the belt cleaning device to clean. This can avoid the shutdown of the belt conveyor due to coal accumulation, reduce unnecessary shutdown time, and improve the operation efficiency of the belt conveyor.

[0052] In some embodiments, the problem of low equipment operation efficiency of belt conveyor equipment and reduction motors due to coal accumulation is solved. Specifically, multiple reduction motor position information is doubly sorted by coal accumulation amount and total shutdown time for cleaning, and the reduction motor placement position is selected at which coal accumulation is not easy and the belt conveyor equipment has the highest operation efficiency. The target reduction motor position can reduce the cleaning frequency and shutdown time caused by coal accumulation, thereby improving the operation efficiency of the belt conveyor equipment. When the first alternative reduction motor position information and the second alternative reduction motor position information are inconsistent, the average value calculation method is used to further improve the rationality of equipment adjustment. Furthermore, the second weighing device is used to collect the belt conveyor equipment position information. The weight and position information of the materials on the equipment can accurately locate the position of the coal accumulation, avoiding the errors that may be caused by traditional reliance on manual observation or experience judgment. Based on the coal accumulation data of multiple historical time periods, the frequency of occurrence of the coal accumulation position is cumulatively calculated, so as to find the frequent coal accumulation positions and improve the targeted cleaning. When the material weight at the frequent coal accumulation position exceeds the preset threshold, the coal cleaning instruction is automatically generated and sent to the belt cleaning equipment, realizing automated cleaning operation, reducing the safety risk of manual cleaning of coal accumulation, improving the safety of the coking coal blending process, and timely cleaning of coal accumulation can prevent unnecessary downtime caused by coal accumulation, while reducing the safety hazards and equipment damage risks that may be caused by coal accumulation.

[0053] In some embodiments, in order to further solve the technical problem 3 described in the background technology section, that is, "the gap between the hammers of the pulverizing equipment in the coking coal blending device is small, resulting in too fine a pulverizing effect, a small particle size of the blended coal, and thus affecting the quality of coke, and the hammers are frequently damaged, increasing the maintenance cost and the risk of production interruption", in some embodiments of the present invention, the pulverizing equipment 104 has corresponding target operating parameters, and the computing device 101 is also used to determine the target operating parameters, which include a target hammer handle length and a target hammer combination arrangement mode, and the target operating parameters are determined by the following steps: Step 1, obtaining a historical operation record table corresponding to the crushing equipment 104, the historical operation record table including multiple hammer handle lengths, coal particle sizes corresponding to each hammer handle length, multiple hammer head combination arrangement modes, and the number of hammer head maintenance times corresponding to each hammer head combination arrangement mode; In some embodiments, the coking plant terminal stores a historical operation record table corresponding to the pulverizing device 104. On this basis, the historical operation record table corresponding to the pulverizing device 104 is obtained from the coking plant terminal. The historical operation record table includes multiple hammer handle lengths, coal particle sizes corresponding to each hammer handle length, multiple hammer head combination arrangement modes, and the number of hammer head maintenance times corresponding to each hammer head combination arrangement mode. Specifically, the pulverizing device 104 is also equipped with a hammer handle. Different hammer handle lengths produce different coal particle sizes of coking coal. The coal particle size represents the size of coal particles and is usually expressed in diameter. For example, when the hammer handle length is 1.2 meters, the corresponding coal particle size is 0.5mm to 1.0mm. The hammer head is the impact hammer assembly mentioned above. Multiple impact hammer assemblies crush the mixed coal. Multiple impact hammer assemblies have multiple hammer head combination arrangement modes, among which the multiple hammer head combination arrangement modes can be hammer head combination arrangement mode 1 (12 in a row, 10 rows in total) and hammer head combination arrangement mode 2 (12 in a row, 9 rows in total). In actual operation, if the gap between the hammer heads is small, the hammer heads will be often damaged, increasing the number of maintenance times of the hammer heads.

[0054] Step 2: add hammer handle lengths with coal particle sizes within a preset coal particle size range among multiple hammer handle lengths to a candidate hammer handle length group, obtain the qualified rate of crushed coal types corresponding to each candidate hammer handle length in the candidate hammer handle length group, and calculate the difference between the qualified rate of crushed coal types corresponding to each candidate hammer handle length and the preset qualified rate of coal types to obtain the difference value corresponding to each candidate hammer handle length; determine the candidate hammer handle length with the smallest difference value in the candidate hammer handle length group as the target hammer handle length; In some embodiments, the preset coal particle size interval can be a user-specified coal particle size interval, which can be 2.0 mm to 3.5 mm. If the coal particle sizes corresponding to 1.8 meters and 1.76 meters among multiple hammer handle lengths are within the preset coal particle size interval, 1.8 meters and 1.76 meters are added to the candidate hammer handle length group. The coking plant terminal stores the qualified rate of crushed coal types corresponding to each hammer handle length among multiple hammer handle lengths. On this basis, the qualified rate of crushed coal types corresponding to each candidate hammer handle length is obtained from the coking plant terminal. If the candidate hammer handle length is 1.8 meters, the difference between the corresponding qualified rate of crushed coal types and the preset qualified rate of coal types is the smallest, and therefore 1.8 meters is determined as the target hammer handle length.

[0055] Step three, sorting multiple hammer head combination arrangement patterns in ascending order of the number of hammer head overhauls to obtain a hammer head combination arrangement pattern sequence; determining the hammer head combination arrangement pattern ranked first in the hammer head combination arrangement pattern sequence as the target hammer head combination arrangement pattern.

[0056] In some embodiments, if the number of hammer head maintenance times of hammer head combination arrangement mode 1 (12 in a row, 10 rows in total) is 5 times, and the number of hammer head maintenance times of hammer head combination arrangement mode 2 (12 in a row, 9 rows in total) is 1 time, hammer head combination arrangement mode 2 is determined as the target hammer head combination arrangement mode.

[0057] In these embodiments, the problems of unqualified coke quality and frequent hammer maintenance caused by small coal particle size are solved. Specifically, the hammer handle length is screened through the coal particle size data in the historical operation record of the crushing equipment, and the hammer handle lengths within the preset range of coal particle size are added to the candidate group. Combined with the difference analysis between the qualified rate of coal after crushing and the preset qualified rate, the target hammer handle length finally determined can significantly improve the qualified rate of coal quality of the crushing equipment; according to the sorting of the number of hammer maintenance times, the hammer combination arrangement pattern with the least number of maintenance times is preferentially selected as the target hammer combination arrangement pattern, which extends the continuous operation time of the crushing equipment, reduces the downtime caused by maintenance, and thus reduces the maintenance cost. Overall, the qualified rate of coal quality is improved, the operating efficiency of the crushing equipment is improved, and the maintenance cost of the crushing equipment is reduced.

[0058] The above descriptions are only some preferred embodiments of the present invention and the explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but also should cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) to form a technical solution.

Claims

1. A coking coal blending device, characterized in that: include: A computing device, wherein the computing device is used to obtain multiple local coking coal blending schemes corresponding to production target information from a local coking coal blending scheme library, determine multiple test data and coal blending costs corresponding to each local coking coal blending scheme; for each local coking coal blending scheme, determine the number of non-compliant coking coal quality data groups corresponding to each local coking coal blending scheme; sort the multiple local coking coal blending schemes in descending order of the number of non-compliant coking coal quality data to obtain a local coking coal blending scheme sequence, select a first number of local coking coal blending schemes from the local coking coal blending scheme sequence in descending order, and remove them from the local coking coal blending scheme library to obtain a first updated local coking coal blending scheme group; The computing device is further configured to obtain, from the cloud, a newly added coking coal blending scheme group and a coal blending cost of each newly added coking coal blending scheme according to the first set of emphasis indicators, and add the newly added coking coal blending scheme group to the first updated local coking coal blending scheme group to obtain a second updated local coking coal blending scheme group; Obtain a second focus indicator set for each second updated local coking coal blending plan, and determine the matching degree of each second updated local coking coal blending plan according to the number of overlaps between the second focus indicator set and the first focus indicator set; determine a target coking coal blending plan according to the matching degree and coal blending cost of each second updated local coking coal blending plan, the target coking coal blending plan including formula ratios of multiple coal types; and send the formula ratios of multiple coal types to the automatic coal blending device.

2. The coking coal blending device according to claim 1, characterized in that: Each of the plurality of test data has a corresponding comprehensive quality score; and The coking coal quality non-standard data set is obtained by the following steps: The test data having a comprehensive quality score less than a preset comprehensive quality score among the multiple test data are determined as data that do not meet the quality standards for coking coal, thereby obtaining a data group that does not meet the quality standards for coking coal.

3. The coking coal blending device according to claim 2, characterized in that: Also includes: An automatic coal blending device, the automatic coal blending device is used to blend multiple types of coal according to the formula ratios of the multiple types of coal to obtain blended coal; The automatic coal blending device is also equipped with a belt conveyor, which is used to convey the blended coal to the crushing device.

4. The coking coal blending device according to claim 3, characterized in that: Also includes: The pulverizing equipment is equipped with a plurality of impact hammer assemblies, and the pulverizing equipment is used to pulverize the compound coal through the plurality of impact hammer assemblies to obtain the pulverized coal and send it into a coal tower.

5. The coking coal blending device according to claim 4, characterized in that: The target coking coal blending scheme is determined by the following steps: Obtaining a preset coking coal blending scheme comparison table, wherein the preset coking coal blending scheme comparison table includes a plurality of matching degrees, a matching degree score corresponding to each matching degree, a plurality of coal blending costs, and a cost score corresponding to each coal blending cost; Matching the matching degree and coal blending cost of each second updated local coking coal blending scheme in the second updated local coking coal blending scheme group in the preset coking coal blending scheme comparison table to obtain a matching degree score and coal blending cost score corresponding to each second updated local coking coal blending scheme; Weights are respectively configured for the matching score and the coal blending cost score corresponding to the second updated local coking coal blending scheme, and the matching score and the coal blending cost score corresponding to each second updated local coking coal blending scheme in the second updated local coking coal blending scheme group are weighted and summed up by the weights to determine the total score corresponding to each second updated local coking coal blending scheme; the second updated local coking coal blending scheme group is sorted in descending order according to the total score corresponding to each second updated local coking coal blending scheme to obtain a second updated local coking coal blending scheme sequence, and the second updated local coking coal blending scheme ranked first in the second updated local coking coal blending scheme sequence is determined as the target coking coal blending scheme.

6. The coking coal blending device according to claim 5, characterized in that: A reduction motor is arranged on one side of the belt conveyor, and a first weighing device is arranged between the belt conveyor and the crushing device. The first weighing device is used to collect the amount of coal accumulation that does not enter the crushing device during the process of the mixed coal from the belt conveyor to the crushing device. The calculation device is also used to: Obtain historical test information corresponding to the reduction motor within a target time period, wherein the historical test information includes multiple reduction motor position information, the amount of coal accumulation corresponding to each reduction motor position information, and the total downtime for cleaning caused by coal accumulation corresponding to each reduction motor position information; wherein the reduction motor position information is based on any point of the pulverizing equipment as the origin, and the position information of the center point of the reduction motor is determined as the reduction motor position information, and the reduction motor position information includes a horizontal coordinate and a vertical coordinate; The plurality of reduction motor position information are sorted in ascending order of coal accumulation to obtain a first reduction motor position information sequence, and the reduction motor position information ranked first in the first reduction motor position information sequence is determined as the first candidate reduction motor position information.

7. The coking coal blending device according to claim 6, characterized in that: The computing device is also used to: Sort the plurality of reduction motor position information in ascending order according to the total downtime for cleaning to obtain a second reduction motor position information sequence, and determine the reduction motor position information ranked first in the second reduction motor position information sequence as the second candidate reduction motor position information; Determining target reduction motor position information according to the first candidate reduction motor position information and the second candidate reduction motor position information; The target reduction motor position information is sent to a management terminal corresponding to the reduction motor, so that a staff member corresponding to the management terminal moves the reduction motor to a position corresponding to the target reduction motor position information.

8. The coking coal blending device according to claim 7, characterized in that: The target reduction motor position information is determined by the following steps: Compare the first candidate reduction motor position information with the second candidate reduction motor position information to determine whether the first candidate reduction motor position information and the second candidate reduction motor position information are consistent, and if they are consistent, use the first candidate reduction motor position information or the second candidate reduction motor position information as the target reduction motor position information; If they are inconsistent, an average value is calculated for the first candidate reduction motor position information and the second candidate reduction motor position information to obtain a calculation result, and the calculation result is used as the target reduction motor position information.

9. The coking coal blending device according to claim 8, characterized in that: The belt conveyor is equipped with a second weighing device, which is used to collect material weight information on the belt conveyor, the material weight information includes a material position information sequence and a material weight corresponding to each material position information, and the calculation device is also used to: Obtain material weight information of a belt conveyor corresponding to each historical time period in a plurality of historical time periods, determine material position information whose material weight is greater than or equal to a preset material weight in a material position information sequence corresponding to each historical time period as coal accumulation position information, and obtain a coal accumulation position information group corresponding to each historical time period; Adding the occurrence frequencies of the same coal accumulation location information in multiple coal accumulation location information groups corresponding to multiple historical time periods to obtain the number of coal accumulation times for each coal accumulation location information; The coal accumulation position information whose coal accumulation times are greater than or equal to the preset coal accumulation times is determined as the coal accumulation frequent position information, and a coal accumulation frequent position information group is obtained; The real-time material weight of each frequent coal accumulation location information in the frequent coal accumulation location information group is obtained; if the real-time material weight of the frequent coal accumulation location information is greater than or equal to the preset real-time material weight, a coal cleaning instruction is generated; the coal cleaning instruction is sent to the belt cleaning device, so that the belt cleaning device cleans the frequent coal accumulation locations corresponding to the frequent coal accumulation location information.

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