A coking coal blending device

Abstract

The present invention relates to the field of coking coal blending, and discloses a coking coal blending device, including: a computing device, configured to obtain multiple test data and blending costs of a local coking coal blending plan corresponding to production target information from a local coking coal blending plan library, and select and eliminate the first number of local coking coal blending plans from a local coking coal blending plan sequence in descending order of the number of unqualified coking coal qualities; obtain a new coking coal blending plan group from the cloud, determine a target coking coal blending plan according to the matching degree and blending cost of each updated local coking coal blending plan; and send multiple coal type formula ratios to an automatic coal blending device. Thus, the automatic proportioning of different types of coal is realized.

Description

Technical Field

[0001] The present invention relates to the field of coking coal blending, and particularly 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 targets 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:

[0004] First, in the actual production process, with the increase in the number of coal blending operations and the accumulation of experience, the number of coal blending schemes in the local coking coal blending scheme library will gradually increase, and the difficulty of selecting a coal blending scheme will also increase accordingly. However, if these coal blending schemes are not adjusted and optimized in a timely manner, problems such as decreased production efficiency, increased costs, or unqualified coking coal quality may occur;

[0005] Second, the unreasonable placement of the reduction motor on the belt conveyor equipment may cause coal accumulation near the equipment, reducing the safety production efficiency and the belt operation efficiency; in the traditional method of cleaning coal accumulation, it overly relies on manual determination of the coal accumulation position and manual cleaning of the coal accumulation position, resulting in untimely cleaning of coal accumulation and increasing the safety risk of manual coal cleaning;

[0006] Third, the small gap between the hammers of the crushing equipment in the coking coal blending device results in over-fine crushing effect, smaller particle size of the blended coal, which in turn affects the quality of coke, and the hammers are frequently damaged, increasing the maintenance cost and the risk of production interruption. Summary of the Invention

[0007] This part of the present invention is used to briefly introduce the concepts, which will be described in detail in the subsequent Detailed Description part. This part of the present invention is not intended to identify the key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0008] The present invention proposes a coking coal blending device to solve one or more of the technical problems mentioned in the above Background Art part.

[0009] The present invention provides a coking coal blending device, comprising: a computing device, which is used to obtain multiple local coking coal blending schemes corresponding to production target information from a local coking coal blending scheme library, and 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-compliance quantity corresponding to the coking coal quality non-compliance data group of each local coking coal blending scheme; sort the multiple local coking coal blending schemes in descending order according to the non-compliance quantity to obtain a local coking coal blending scheme sequence, select the first quantity 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;

[0010] The computing device is further used to obtain an additional coking coal blending scheme group and the coal blending cost of each additional coking coal blending scheme from the cloud according to a first set of key indicators, add the additional 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 set of key indicators of 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 coincidence quantity between the second set of key indicators and the first set of key indicators; 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, where the target coking coal blending scheme includes multiple coal type formula ratios; and send the multiple coal type formula ratios to an automatic coal blending device.

[0011] Optionally, each test data among the multiple test data has a corresponding comprehensive quality score; and

[0012] The coking coal quality non-compliance data group is obtained through the following steps:

[0013] Determine the test data with a comprehensive quality score less than a preset comprehensive quality score among the multiple test data as coking coal quality non-compliance data to obtain a coking coal quality non-compliance data group.

[0014] Optionally, a coking coal blending device of the present invention further comprises:

[0015] An automatic coal blending device, which is used to blend multiple types of coal according to multiple coal type formula ratios to obtain blended coal; the automatic coal blending device is further equipped with a belt conveyor, and the belt conveyor is used to convey the blended coal to a pulverizing device.

[0016] Optionally, a coking coal blending device of the present invention further comprises:

[0017] A pulverizing device, which is configured with multiple impact hammer assemblies, and the pulverizing device is used to pulverize the blended coal through the multiple impact hammer assemblies to obtain pulverized coal and send it into a coal tower.

[0018] Optionally, the target coking coal blending plan is determined through the following steps:

[0019] Obtain a preset coking coal blending plan comparison table, which includes multiple matching degrees, the matching degree scores corresponding to each matching degree, multiple coal blending costs, and the cost scores corresponding to each coal blending cost; match the matching degrees and coal blending costs of each second-updated local coking coal blending plan in the second-updated local coking coal blending plan group in the preset coking coal blending plan comparison table to obtain the matching degree scores and coal blending cost scores corresponding to each second-updated local coking coal blending plan;

[0020] Configure weights for the matching degree scores and coal blending cost scores corresponding to the second-updated local coking coal blending plan respectively, perform weighted summation on the matching degree scores and coal blending cost scores corresponding to each second-updated local coking coal blending plan in the second-updated local coking coal blending plan group through the weights to determine the total score corresponding to each second-updated local coking coal blending plan; sort the second-updated local coking coal blending plan group in descending order according to the total scores corresponding to each second-updated local coking coal blending plan to obtain a second-updated local coking coal blending plan sequence, and determine the second-updated local coking coal blending plan ranked first in the second-updated local coking coal blending plan sequence as the target coking coal blending plan.

[0021] Optionally, a reduction motor is configured on one side of the belt conveyor equipment, and a first weighing device is configured between the belt conveyor equipment and the crushing equipment. The first weighing device is used to collect the accumulated coal volume that has not entered the crushing equipment during the process of the blended coal from the belt conveyor equipment to the crushing equipment. The calculation device is further used for:

[0022] Obtain the historical test information corresponding to the reduction motor within the target time period. The historical test information includes multiple reduction motor position information, the accumulated coal volume corresponding to each reduction motor position information, and the total shutdown cleaning duration caused by the accumulated coal corresponding to each reduction motor position information; wherein, the reduction motor position information takes any point of the crushing equipment as the origin, and determines the position information of the center point of the reduction motor as the reduction motor position information. The reduction motor position information includes the abscissa and the ordinate;

[0023] Sort the multiple reduction motor position information in ascending order of the accumulated coal volume to obtain a first reduction motor position information sequence, and determine the reduction motor position information ranked first in the first reduction motor position information sequence as the first alternative reduction motor position information.

[0024] Optionally, the calculation device is further used for:

[0025] Sort the position information of multiple reduction motors in ascending order of the total shutdown cleaning duration to obtain the second reduction motor position information sequence, and determine the position information of the reduction motor ranked first in the second reduction motor position information sequence as the second alternative reduction motor position information;

[0026] Determine the target reduction motor position information according to the first alternative reduction motor position information and the second alternative reduction motor position information;

[0027] Send the target reduction motor position information to the management terminal corresponding to the reduction motor, so that the staff corresponding to the management terminal can move the reduction motor to the position corresponding to the target reduction motor position information.

[0028] Optionally, the target reduction motor position information is determined through the following steps:

[0029] Compare the first alternative reduction motor position information and the second alternative reduction motor position information to determine whether the first alternative reduction motor position information and the second alternative reduction motor position information are the same. If they are the same, use the first alternative reduction motor position information or the second alternative reduction motor position information as the target reduction motor position information;

[0030] If they are not the same, calculate the average value of the first alternative reduction motor position information and the second alternative reduction motor position information to obtain the calculation result, and use the calculation result as the target reduction motor position information.

[0031] Optionally, a second weighing device is configured on the belt conveyor. The second weighing device is used to collect the material weight information on the belt conveyor. The material weight information includes the material position information sequence and the material weight corresponding to each material position information. The calculation device is further used for:

[0032] Obtain the material weight information of the belt conveyor corresponding to each historical time period in multiple historical time periods, and determine the material position information with the material weight 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;

[0033] Add up the occurrence frequencies of the same coal accumulation position information in the multiple coal accumulation position information groups corresponding to multiple historical time periods to obtain the coal accumulation times of each coal accumulation position information;

[0034] Determine the coal accumulation position information with the coal accumulation times greater than or equal to the preset coal accumulation times as the frequently-occurring coal accumulation position information, and obtain the frequently-occurring coal accumulation position information group;

[0035] Obtain the real-time material weight of each frequent coal accumulation position information in the frequent coal accumulation position information group. If the real-time material weight of the frequent coal accumulation position information is greater than or equal to the preset real-time material weight, generate a coal accumulation cleaning instruction and send the coal accumulation cleaning instruction to the belt cleaning equipment, so that the belt cleaning equipment cleans the frequent coal accumulation position corresponding to the frequent coal accumulation position information.

[0036] The present invention has the following beneficial effects:

[0037] 1. Solve the problems that it is difficult to select a coal blending plan due to the large number of plans in the local coking coal blending plan library, and the quality of coking coal in the plan does not meet the standard and the coal blending cost increases. By eliminating the local coking coal blending plans with poor coking coal quality and obtaining new coking coal blending plans from the cloud and adding them to the local coking coal blending plan library, improve the overall quality of the local coking coal blending plan library, and gradually optimize the local coking coal blending plan library to ensure that the plans it contains better meet the quality requirements of the production target. Specifically, by analyzing multiple test data of each local coking coal blending plan and combining the test data with a comprehensive quality score lower than the preset threshold, it is possible to quickly locate the local coking coal blending plans with unqualified coking coal quality, and select and eliminate some of them, optimizing the quality of the local coking coal blending plan library; introduce new coking coal blending plans from the cloud according to the set of focused indicators, making the new coking coal blending plans more in line with the actual production needs and more targeted; select the target coking coal blending plan through the matching degree of each coking coal blending plan with the production target and combining the coal blending cost of each coking coal blending plan, so that the selected target coking coal blending plan achieves the best balance between quality and economy.

[0038] 2. It solves the problem of low equipment operation efficiency caused by coal accumulation in belt conveyor equipment and reduction motors. Specifically, by double sorting the position information of multiple reduction motors based on the coal accumulation amount and the total duration of shutdown for cleaning, it selects the placement position of the reduction motor where coal accumulation is not likely to occur and the belt conveyor equipment has the highest operation efficiency. The target reduction motor position can reduce the cleaning frequency and shutdown duration caused by coal accumulation, and improve the operation efficiency of the belt conveyor equipment; when the first alternative reduction motor position information is inconsistent with the second alternative reduction motor position information, the average value calculation method is used to further improve the rationality of equipment adjustment; further, by collecting the material weight and position information on the belt conveyor equipment through the second weighing device, the position of coal accumulation can be accurately located, avoiding the errors that may be brought by traditional manual observation or experience judgment. Based on the coal accumulation data of multiple historical time periods, the occurrence frequency of the coal accumulation position is calculated cumulatively, so as to discover the frequently-occurring coal accumulation positions, improving the pertinence of cleaning; when the material weight at the frequently-occurring coal accumulation position exceeds the preset threshold, a cleaning coal accumulation instruction is automatically generated and sent to the belt cleaning equipment, realizing automatic cleaning operation, reducing the safety risk of manual coal cleaning, improving the safety of the coking coal blending process, cleaning the coal accumulation in time, preventing unnecessary shutdown time caused by coal accumulation, and at the same time reducing the safety hazards and equipment damage risks that may be caused by coal accumulation;

[0039] 3. It solves the problems of unqualified coke quality and frequent hammer head repairs caused by the relatively small particle size of the blended coal. Specifically, the hammer handle length is screened through the coal particle size data in the historical operation records of the crushing equipment, and the hammer handle lengths with coal particle sizes within the preset range are added to the candidate group. Combining the analysis of the difference between the qualified rate of the coal type after crushing and the preset qualified rate, the final determined target hammer handle length can significantly improve the qualified rate of the coal type quality of the crushing equipment; according to the sorting of the number of hammer head repairs, the hammer head combination arrangement mode with the least number of repairs is preferentially selected as the target hammer head combination arrangement mode, extending the continuous operation time of the crushing equipment, reducing the shutdown time caused by maintenance, thereby reducing the maintenance cost. Generally speaking, it improves the qualified rate of the coal type quality, improves the operation efficiency of the crushing equipment, and reduces the maintenance cost of the crushing equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Combined with the drawings and referring to the following specific embodiments, the above and other features, advantages and aspects of the embodiments of the present invention will become more obvious. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic, and the elements and elements are not necessarily drawn to scale.

[0041] Figure 1 It is an exemplary structural schematic diagram of a coking coal blending device of the present invention. SPECIFIC EMBODIMENTS

[0042] The present invention will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not used to limit the protection scope of the present invention.

[0043] In addition, it should be noted that for the convenience of description, only the parts related to the relevant invention are shown in the drawings. Without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0044] 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 of the functions performed by these devices, modules or units or their interdependent relationships.

[0045] It should be noted that the modifications of "one" and "multiple" mentioned in the present invention are illustrative rather than restrictive. Those skilled in the art should understand that unless otherwise clearly specified in the context, it should be understood as "one or more".

[0046] 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.

[0047] The present invention will be described in detail below with reference to the drawings and in conjunction with embodiments.

[0048] As Figure 1 shown, it is an exemplary structural schematic 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 conveying 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. For the convenience of explaining the present invention, Figure 1 only some key devices of the coking coal blending device are shown. According to needs, other devices may also be included in practice, including but not limited to: belt cleaning devices, etc. It can be understood that Figure 1 the devices of the coking coal blending device included in

[0049] The computing device 101 is configured to obtain multiple local coking coal blending plans corresponding to production target information from a local coking coal blending plan library, and determine multiple test data and blending costs corresponding to each local coking coal blending plan among the multiple local coking coal blending plans. Among them, each test data in the multiple test data has a corresponding comprehensive quality score; for each local coking coal blending plan, the test data with a comprehensive quality score less than a preset comprehensive quality score among the multiple test data is determined as coking coal quality non-compliant data, obtaining a group of coking coal quality non-compliant data, and determining the non-compliant quantity corresponding to the group of coking coal quality non-compliant data corresponding to each local coking coal blending plan; sort the multiple local coking coal blending plans in descending order according to the non-compliant quantity, obtaining a local coking coal blending plan sequence, select the first quantity of local coking coal blending plans from the local coking coal blending plan sequence in descending order, and remove them from the local coking coal blending plan library, obtaining a first updated local coking coal blending plan group;

[0050] In some embodiments, the computing device 101 may be a background server, and the production target information may be one of the following: producing metallurgical coke, producing chemical coke, or producing power generation coke, etc. The local coking coal blending plan library includes multiple local coking coal blending plans corresponding to each production target information among the multiple production target informations. When the production target information is different, the quality requirements for the produced coking coal are different, so the coking coal blending plans are also different. The coking coal blending plan includes the blending ratio of multiple coal types. For example, the quality requirements for producing power generation coke mainly focus on calorific value, ash content, sulfur content, etc. The quality requirements for producing metallurgical coke mainly focus on a relatively high fixed carbon content, moderate volatile matter, and relatively low ash content and sulfur content. Taking the production target information as producing metallurgical coke as an example for illustration, the multiple local coking coal blending plans corresponding to producing metallurgical coke may be Local Coking Coal Blending Plan One: the blending ratio is: the total of prime coking coal and 1 / 3 coking coal is 50%, gas coal is 25%, fat coal is 15%, lean coal is 5%, and weakly caking coal is 5%. Among them, 1 / 3 coking coal provides moderate cohesiveness and swelling property, improving the strength and reactivity of coke, gas coal promotes volatile matter, fat coal has strong cohesiveness, mainly enhancing the mechanical strength of coke, and weakly caking coal reduces ash content and sulfur content.

[0051] In some embodiments, the background server locally stores a local coking coal blending plan table, which includes multiple local coking coal blending plans, multiple sets of test data corresponding to each local coking coal blending plan, and the blending cost. On this basis, multiple sets of test data and the blending cost corresponding to each local coking coal blending plan are obtained from the local coking coal blending plan table. Among them, each test data in the multiple sets of test data has a corresponding comprehensive quality score. Specifically, taking the local coking coal blending plan one among the multiple local coking coal blending plans as an example, the multiple sets of test data corresponding to the local coking coal blending plan one are obtained by producing multiple coal types according to the local coking coal blending plan one and conducting multiple quality inspections on the produced coking coal. Each test data can include multiple quality parameter indicators and the scores corresponding to each quality parameter indicator. For example, the shatter strength M40 (60 points), abrasion resistance M10 (70 points), reactivity CRI (45 points), and post-reaction strength CSR (78 points), etc. According to the actual production requirements, weights are assigned to the multiple quality parameter indicators respectively, and the comprehensive quality score corresponding to each test data is obtained by weighted summation, which can be 85 points. The blending cost corresponding to the local coking coal blending plan one refers to the cost determined by the proportion and price of different coal types in the plan when producing metallurgical coke, which can be 935 yuan / ton.

[0052] In some embodiments, the unqualified coking coal quality data 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 there are 5 sets of test data with comprehensive quality scores less than the preset comprehensive quality score among the multiple sets of test data included in the local coking coal blending plan one, then the number of unqualified data corresponding to the local coking coal blending plan one can be 5. The multiple local coking coal blending plans are sorted in descending order according to the number of unqualified data to obtain the local coking coal blending plan sequence. If the number of unqualified data of the local coking coal blending plan three is 12, the number of unqualified data of the local coking coal blending plan two is 3, and the number of unqualified data of the local coking coal blending plan one is 5, then the local coking coal blending plan sequence can be the local coking coal blending plan three, the local coking coal blending plan one, and the local coking coal blending plan two. The first number of local coking coal blending plans is selected from the local coking coal blending plan sequence in descending order and removed from the local coking coal blending plan library to obtain the first updated local coking coal blending plan group. Among them, the "first number" can be a set fixed value or can be dynamically adjusted according to the actual situation. Removing the unqualified blending plans is to improve the overall quality of the blending plans and gradually optimize the local coking coal blending plan library to ensure that the plans it contains are more in line with the quality requirements of the production target.

[0053] The computing device 101 is further configured to obtain a first set of weighted indicators corresponding to the production target information, and based on the first set of weighted indicators, obtain a new set of coking coal blending plans and the coal blending costs of each new coking coal blending plan in the new set of coking coal blending plans from the cloud, add the new set of coking coal blending plans to the first updated local coking coal blending plan set to obtain a second updated local coking coal blending plan set; obtain a second set of weighted indicators of each second updated local coking coal blending plan in the second updated local coking coal blending plan set, and determine the matching degree of each second updated local coking coal blending plan according to the number of overlaps between the second set of weighted indicators of each second updated local coking coal blending plan and the first set of weighted indicators; determine a target coking coal blending plan according to the matching degree and the coal blending cost of each second updated local coking coal blending plan, where the target coking coal blending plan includes multiple coal type formula ratios; and send the multiple coal type formula ratios to the automatic coal blending device 102.

[0054] In some embodiments, the background server locally stores a production target weighted indicator table. On this basis, a first set of weighted indicators corresponding to the production target information is obtained from the production target weighted indicator table. The production target weighted indicator table includes multiple production target information and the set of weighted indicators corresponding to each production target information. For example, when the production target information is the production of metallurgical coke, the set of weighted indicators corresponding to the production of metallurgical coke includes thermal strength, swelling degree, and coal caking property. According to the set of weighted indicators corresponding to the production of metallurgical coke, a new set of coking coal blending plans and the coal blending costs of each new coking coal blending plan in the new set of coking coal blending plans are obtained from the cloud. The sources of the coking coal blending plans on the cloud include coking coal blending plans from the historical production of multiple enterprises, multiple coking coal blending plans in the industry shared database, and multiple coking coal blending plans generated by intelligent algorithms. The background server locally stores a coking coal blending plan comparison table. On this basis, a second set of weighted indicators of each second updated local coking coal blending plan is obtained from the coking coal blending plan comparison table. The coking coal blending plan comparison table includes multiple coking coal blending plans and the set of weighted indicators of each coking coal blending plan.

[0055] In some embodiments, in practice, the group of second-updated local coking coal blending schemes may include multiple second-updated local coking coal blending schemes. Here, only the first second-updated local coking coal blending scheme and the second second-updated local coking coal blending scheme are taken as examples for illustration. If the set of second key indicators of the first second-updated local coking coal blending scheme is heat strength, swelling degree, and coal caking property, as can be seen from the above, the number of coincidences with the set of first key indicators is 3. If the set of second key indicators of the second second-updated local coking coal blending scheme is heat strength, shrinkage degree, and fluidity, as can be seen from the above, the number of coincidences with the set of first key indicators is 1. The background server locally stores a comparison table of the number of coincidences of key indicators, which includes multiple numbers of coincidences and the scheme matching degrees corresponding to each number of coincidences. On this basis, by matching the number of coincidences between the set of second key indicators of each second-updated local coking coal blending scheme and the set of first key indicators in the comparison table of the number of coincidences of key indicators, the matching degree of each second-updated local coking coal blending scheme is obtained. For example, the matching degree of the first second-updated local coking coal blending scheme is 98%, and the matching degree of the second second-updated local coking coal blending scheme is 78%.

[0056] In some embodiments, optionally, the target coking coal blending scheme is determined through the following steps:

[0057] Obtain a preset coking coal blending scheme comparison table, which includes multiple matching degrees, the matching degree scores corresponding to each matching degree, multiple coal blending costs, and the 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 group of second-updated local coking coal blending schemes 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;

[0058] In some embodiments, the background server locally stores a preset coking coal blending scheme comparison table, which includes multiple matching degrees, the matching degree scores corresponding to each matching degree, multiple coal blending costs, and the cost scores corresponding to each coal blending cost.

[0059] Weights are respectively assigned to the matching degree score and the coal blending cost score corresponding to the second updated local coking coal blending plan. The matching degree score and the coal blending cost score corresponding to each second updated local coking coal blending plan in the second updated local coking coal blending plan group are weighted and summed through the weights to determine the total score corresponding to each second updated local coking coal blending plan. The second updated local coking coal blending plan group is sorted in descending order according to the total score corresponding to each second updated local coking coal blending plan to obtain the second updated local coking coal blending plan sequence, and the second updated local coking coal blending plan ranked first in the second updated local coking coal blending plan sequence is determined as the target coking coal blending plan.

[0060] In some embodiments, the larger the total score corresponding to the local coking coal blending plan, the higher the ranking in the second updated local coking coal blending plan sequence. The second updated local coking coal blending plan sequence may include the first second updated local coking coal blending plan and the second second updated local coking coal blending plan. Among them, the first second updated local coking coal blending plan ranks first, and the first second updated local coking coal blending plan is determined as the target coking coal blending plan.

[0061] The automatic coal blending device 102 is used to blend multiple types of coal according to the proportion of multiple coal types formulas to obtain blended coal. The automatic coal blending device 102 is also equipped with a belt conveying device 103, and the belt conveying device 103 is used to convey the blended coal to the crushing device 104.

[0062] In some embodiments, the automatic coal blending device 102 is one of the coal blending equipment, and can automatically control the input amount of each single coal according to the proportion of multiple coal types formulas in the target coking coal blending plan to ensure the accuracy and constancy of the blending ratio and the input amount. After coal blending, blended coal is obtained. The belt conveying 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 into the crushing device 104. The coal conveying device can be a coal conveying corridor or a coal conveying trestle.

[0063] The crushing device 104 is configured with multiple counterattack hammer components 105. The crushing device 104 is used to crush the blended coal through the multiple counterattack hammer components 105 to obtain crushed coal and send it into the coal tower 106.

[0064] In some embodiments, the crushed coal is sent into the coal tower 106 through the second coal conveying device 111.

[0065] In some embodiments, the problems of the local coking coal blending plan library, such as the difficulty in selecting a coal blending plan due to the large number of plans and the problems of unqualified coking coal quality and increased coal blending cost in the plans, are solved. By eliminating the local coking coal blending plans with poor coking coal quality and obtaining new coking coal blending plans from the cloud and adding them to the local coking coal blending plan library, the overall quality of the local coking coal blending plan is improved, and the local coking coal blending plan library is gradually optimized to ensure that the plans it contains more meet the quality requirements of the production target. Specifically, by analyzing multiple test data of each local coking coal blending plan and combining the test data with a comprehensive quality score lower than the preset threshold, the local coking coal blending plans with unqualified coking coal quality can be quickly located, and some of them are selected for elimination, optimizing the quality of the local coking coal blending plan library; introducing new coking coal blending plans from the cloud according to the set of focused indicators, making the new coking coal blending plans more in line with the actual production needs and more targeted; selecting the target coking coal blending plan through the matching degree of each coking coal blending plan with the production target and combining the coal blending cost of each coking coal blending plan, so that the selected target coking coal blending plan achieves the best balance between quality and economy.

[0066] In some embodiments, in order to further solve Technical Problem 2 described in the background art section, that is, "the unreasonable placement position of the reduction motor on the belt conveyor equipment may cause coal accumulation near the equipment, reducing the safety production efficiency and the belt operation efficiency; in the traditional method of cleaning coal accumulation, it is overly dependent on manual determination of the coal accumulation position and manual cleaning of the coal accumulation position, resulting in untimely cleaning of coal accumulation and increasing the safety risk of manual cleaning of coal accumulation", in some embodiments of the present invention, a reduction motor 107 is arranged on one side of the belt conveyor equipment, and there is a first weighing device 108 between the belt conveyor equipment and the crushing equipment. The first weighing device 108 is used to collect the amount of coal accumulation that does not enter the crushing equipment during the process of the combined coal from the belt conveyor equipment 103 to the crushing equipment 104, and the calculation device 101 is further used for:

[0067] Step 1, obtain the historical test information corresponding to the reduction motor within the target time period. The historical test information includes multiple reduction motor position information, the coal accumulation amount corresponding to each reduction motor position information, and the total downtime cleaning duration caused by coal accumulation corresponding to each reduction motor position information; wherein, the reduction motor position information takes 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. The reduction motor position information includes the abscissa and the ordinate;

[0068] In some embodiments, a reduction motor 107 is configured on one side of the two sides of the belt conveyor device 103. The main function of the reduction motor 107 is to provide power for the belt conveyor device and adjust the output speed and torque through a 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.). The first weighing device 108 can be a weighing sensor. Historical test information corresponding to the reduction motor within a target time period is obtained from the first weighing device 108. The historical test information includes multiple reduction motor position information, the coal accumulation amount corresponding to each reduction motor position information, and the total shutdown cleaning duration caused by coal accumulation corresponding to each reduction motor position information. If the installation position of the reduction motor is not reasonably designed, it may lead to an extension of the total shutdown cleaning duration caused by coal accumulation. The reasons may be as follows: 1. If the reduction motor is installed near the chute feeding point, materials are likely to accumulate or rebound here, resulting in coal accumulation around the reduction motor. It may be necessary to stop the machine and disassemble some equipment for cleaning, which takes longer; 2. The coal accumulation covers the heat dissipation ports or ventilation parts of the reduction motor, causing the equipment to overheat and shut down. The overheat shutdown may require a longer time for cooling and maintenance; 3. The layout of the reduction motor and the surrounding cables, pipelines or other auxiliary equipment is unreasonable. When cleaning the coal accumulation, it is necessary to protect the pipelines and cables, increasing the operation difficulty. Specifically, the target time period is a time period specified by the user, which can be the past day. The historical test information is a set of measured data collected to determine the position of the reduction motor that is not prone to coal accumulation and has the highest operating efficiency during operation from multiple positions. Among them, the multiple reduction motor position information included in the historical test information can be (50, 45), (60, 45), (70, 50). Among them, the reduction motor position information takes 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. The reduction motor position information includes the abscissa and the ordinate, and the unit of the coordinates is decimeter. For example, in the past day, when the reduction motor is at the position (50, 45), during the process of the mixed coal being transported from the belt conveyor device to the crushing equipment, the coal accumulation amount that has not entered the crushing equipment is 10 kg, and the total shutdown cleaning duration caused by coal accumulation is 60 minutes. In the past day, when the reduction motor is at the position (60, 45), the coal accumulation amount is 20 kg, and the total shutdown cleaning duration caused by coal accumulation is 75 minutes.

[0069] Step 2: Sort the multiple reduction motor position information in ascending order of the coal accumulation amount to obtain the first reduction motor position information sequence, and determine the reduction motor position information ranked first in the first reduction motor position information sequence as the first alternative reduction motor position information;

[0070] In some embodiments, the first deceleration motor position information sequence may be (50, 45), (60, 45), (70, 50). Among them, (50, 45) is ranked first and has the least amount of coal accumulation. Then, (50, 45) is determined as the first alternative deceleration motor position information.

[0071] Step 3: Sort the multiple deceleration motor position information in ascending order of the total shutdown cleaning duration to obtain a second deceleration motor position information sequence, and determine the deceleration motor position information ranked first in the second deceleration motor position information sequence as the second alternative deceleration motor position information;

[0072] Step 4: Determine the target deceleration motor position information according to the first alternative deceleration motor position information and the second alternative deceleration motor position information;

[0073] In some embodiments, the target deceleration motor position information is determined through the following steps:

[0074] Compare the first alternative deceleration motor position information with the second alternative deceleration motor position information to determine whether the first alternative deceleration motor position information is the same as the second alternative deceleration motor position information. If they are the same, use the first alternative deceleration motor position information or the second alternative deceleration motor position information as the target deceleration motor position information;

[0075] In some embodiments, compare the abscissa and ordinate included in the first alternative deceleration motor position information with the abscissa and ordinate included in the second alternative deceleration motor position information respectively. If the abscissa and ordinate of the two are the same at the same time, then the first alternative deceleration motor position information and the second alternative deceleration motor position information are the same. For example, when the first alternative deceleration motor position information is (50, 45) and the second alternative deceleration motor position information is (50, 45), they are the same, and (50, 45) is used as the target deceleration motor position information.

[0076] If they are not the same, calculate the average value of the first alternative deceleration motor position information and the second alternative deceleration motor position information to obtain a calculation result, and use the calculation result as the target deceleration motor position information.

[0077] In some embodiments, when the first alternative deceleration motor position information is (50, 45) and the second alternative deceleration motor position information is (50, 55), they are inconsistent. The average value of the first alternative deceleration motor position information and the second alternative deceleration motor position information is calculated. First, the abscissas included in the first alternative deceleration motor position information and the abscissa of the second alternative deceleration motor position information are added and then divided by two to obtain the abscissa included in the target deceleration motor position information. The ordinates included in the first alternative deceleration motor position information and the ordinate of the second alternative deceleration motor position information are added and then divided by two to obtain the ordinate included in the target deceleration motor position information. Then the target deceleration motor position information is (50, 50).

[0078] Step Five, send the target deceleration motor position information to the management terminal corresponding to the deceleration motor, so that the staff corresponding to the management terminal can move the deceleration motor to the position corresponding to the target deceleration motor position information.

[0079] In some embodiments, send the target deceleration motor position information (50, 50) to the management terminal corresponding to the deceleration motor 107, so that the staff corresponding to the management terminal can move the deceleration motor 107 to the position of (50, 50). Among them, the management terminal corresponding to the deceleration motor can be the work mobile phone of the staff.

[0080] Among them, a second weighing device 109 is configured on the belt conveying device 103. The second weighing device 109 is used to collect the material weight information on the belt conveying device 103. The material weight information includes the material position information sequence and the material weight corresponding to each material position information. The calculation device 101 is further used for:

[0081] Step One, obtain the material weight information of the belt conveying device corresponding to each historical time period in multiple historical time periods. Determine the material position information with the material weight 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.

[0082] In some embodiments, the second weighing device 109 is connected to the background server through a sensor communication protocol. The second weighing device 109 can be a weighing sensor. There is one second weighing device 109 covering the belt conveying device. Taking any corner of the second weighing device as the origin, with the unit of decimeter, multiple position information on the second weighing device 109 forms the material position information sequence. The material position information sequence can be (10, 20), (10, 21), (10, 22) …… (50, 20), (50, 21), (50, 22), etc., with the unit of decimeter. These points correspond to different material positions in turn.

[0083] In some embodiments, the coking plant terminal stores the material weight information of the belt conveyor equipment corresponding to each historical time period. On this basis, the material weight information of the belt conveyor equipment corresponding to each historical time period in multiple historical time periods is obtained from the coking plant terminal. The multiple historical time periods can be, for example, from 9:00 to 10:00, from 10:00 to 11:00, from 11:00 to 12:00, from 12:00 to 13:00, etc. on a certain day. In practice, it can include multiple historical time periods. Here, only the three time periods from 9:00 to 10:00, from 10:00 to 11:00, and from 11:00 to 12:00 are taken as examples for illustration.

[0084] In some embodiments, between 9:00 and 10:00, the material weight corresponding to (10, 20) is 12 kilograms, which is greater than the preset material weight. Then, (10, 20) is determined as the coal accumulation position information. Among them, the preset material weight is a user-defined material weight, which can be 10 kilograms. Between 10:00 and 11:00, if (10, 20), (20, 58), and (50, 20) are the coal accumulation position information, then the group of coal accumulation position information corresponding to the time period from 10:00 to 11:00 is (10, 20), (20, 58), (50, 20). If the group of coal accumulation position information corresponding to the time period from 11:00 to 12:00 is (10, 20), (50, 20), in practice, the group of coal accumulation position information corresponding to each historical time period can include multiple pieces of coal accumulation position information. Here, only some are taken as examples for illustration.

[0085] Step 2: Add up the occurrence frequencies of the same coal accumulation position information in the multiple groups of coal accumulation position information corresponding to multiple historical time periods to obtain the coal accumulation times of each piece of coal accumulation position information.

[0086] In some embodiments, among the three time periods from 9:00 to 10:00, from 10:00 to 11:00, and from 11:00 to 12:00, the sum of the occurrence frequencies of (10, 20) is equal to three, so the coal accumulation times of (10, 20) is three times; the sum of the occurrence frequencies of (20, 58) is equal to one, so the coal accumulation times of (20, 58) is one time; the sum of the occurrence frequencies of (50, 20) is equal to two, so the coal accumulation times of (50, 20) is two times.

[0087] Step 3: Determine the coal accumulation position information with coal accumulation times greater than or equal to the preset coal accumulation times as the frequently-occurring coal accumulation position information to obtain the group of frequently-occurring coal accumulation position information.

[0088] In some embodiments, the coal accumulation times of (10, 20) is three times and the coal accumulation times of (50, 20) is two times, both of which are greater than or equal to the preset coal accumulation times (which can be two times). Therefore, (10, 20) and (50, 20) are determined as the frequently-occurring coal accumulation position information and added to the group of frequently-occurring coal accumulation position information. Among them, the frequently-occurring coal accumulation positions may be the head, tail, near the feeding point, and the belt idler parts of the belt conveyor equipment, etc.

[0089] Step 4: Obtain the real-time material weight of each frequent coal accumulation position information in the frequent coal accumulation position information group. If the real-time material weight of the frequent coal accumulation position information is greater than or equal to the preset real-time material weight, generate a coal accumulation cleaning instruction and send the coal accumulation cleaning instruction to the belt cleaning device, so that the belt cleaning device cleans the frequent coal accumulation position corresponding to the frequent coal accumulation position information.

[0090] In some embodiments, during the operation of the belt conveyor equipment, obtain the real-time material weight of each frequent coal accumulation position information from the second weighing device. If the real-time material weight of the frequent coal accumulation position information is greater than or equal to the preset real-time material weight, generate a coal accumulation cleaning instruction. Specifically, the preset real-time material weight can be a user-defined real-time material weight. The belt cleaning device can be a belt cleaner configured on both sides of the belt conveyor equipment. By strictly monitoring the real-time material weight of each frequent coal accumulation position, once the real-time material weight of the frequent coal accumulation position is greater than or equal to the preset real-time material weight, generate a coal accumulation cleaning instruction to control the belt cleaning device to clean, which can avoid the shutdown of the belt conveyor equipment caused by coal accumulation, reduce the unnecessary shutdown duration, and improve the operation efficiency of the belt conveyor equipment.

[0091] In some embodiments, the problem of low equipment operation efficiency caused by coal accumulation in the belt conveyor equipment and the reduction motor is solved. Specifically, by double sorting of the positions of multiple reduction motors according to the coal accumulation amount and the total shutdown cleaning duration, select the position where the reduction motor is not prone to coal accumulation and the belt conveyor equipment has the highest operation efficiency. The target reduction motor position can reduce the cleaning frequency and shutdown duration caused by coal accumulation and improve the operation efficiency of the belt conveyor equipment; when the first alternative reduction motor position information is inconsistent with the second alternative reduction motor position information, the average value calculation method is used to further improve the rationality of equipment adjustment; further, by collecting the material weight and position information on the belt conveyor equipment through the second weighing device, the position of coal accumulation can be accurately located, avoiding the errors that may be brought by traditional manual observation or experience judgment. Based on the coal accumulation data of multiple historical time periods, the occurrence frequency of the coal accumulation position is calculated cumulatively, so as to find the frequent coal accumulation position and improve the pertinence of cleaning; when the material weight at the frequent coal accumulation position exceeds the preset threshold, automatically generate a coal accumulation cleaning instruction and send it to the belt cleaning device, realizing automatic cleaning operation, reducing the safety risk of manual coal accumulation cleaning, improving the safety of the coking coal blending process, cleaning the coal accumulation in time, preventing the unnecessary shutdown time caused by coal accumulation accumulation, and at the same time reducing the safety hazards and equipment damage risks that may be caused by coal accumulation.

[0092] In some embodiments, to further solve Technical Problem 3 described in the background art section, that is, "the hammer head clearance of the crushing equipment in the coking coal blending device is small, resulting in an overly fine crushing effect, a relatively small particle size of the blended coal, which in turn affects the coke quality, and the frequent damage of the hammer heads increases the maintenance cost and the risk of production interruption", in some embodiments of the present invention, the crushing equipment 104 has corresponding target operating parameters, and the computing device 101 is further configured to determine the target operating parameters. The target operating parameters include the target hammer handle length and the target hammer head combination arrangement pattern. The target operating parameters are determined through the following steps:

[0093] Step 1: Obtain the historical operation record table corresponding to the crushing equipment 104. The historical operation record table includes multiple hammer handle lengths, the coal particle size corresponding to each hammer handle length, multiple hammer head combination arrangement patterns, and the number of hammer head repairs corresponding to each hammer head combination arrangement pattern;

[0094] In some embodiments, the historical operation record table corresponding to the crushing equipment 104 is stored at the coking plant terminal. On this basis, obtain the historical operation record table corresponding to the crushing equipment 104 from the coking plant terminal. The historical operation record table includes multiple hammer handle lengths, the coal particle size corresponding to each hammer handle length, multiple hammer head combination arrangement patterns, and the number of hammer head repairs corresponding to each hammer head combination arrangement pattern. Specifically, a hammer handle is also configured in the crushing equipment 104. Different hammer handle lengths produce different coal particle sizes of the coking coal. The coal particle size characterizes the size of coal particles and is usually represented by the diameter. For example, when the hammer handle length is 1.2 meters, the corresponding coal particle size is 0.5 mm to 1.0 mm. The hammer head is the impact hammer assembly mentioned above. Multiple impact hammer assemblies crush the blended coal. There are multiple hammer head combination arrangement patterns for multiple impact hammer assemblies. Among them, the multiple hammer head combination arrangement patterns can be Hammer Head Combination Arrangement Pattern 1 (12 in a row, 10 rows in total) and Hammer Head Combination Arrangement Pattern 2 (12 in a row, 9 rows in total). In actual operation, if the hammer head clearance is small, it will often cause the hammer heads to be damaged and increase the number of hammer head repairs.

[0095] Step 2: Add the hammer handle lengths with coal particle sizes within the preset coal particle size range among the multiple hammer handle lengths to the candidate hammer handle length group. Obtain the qualified rate of the crushed coal type corresponding to each candidate hammer handle length in the candidate hammer handle length group. Subtract the preset coal type qualified rate from the qualified rate of the crushed coal type corresponding to each candidate hammer handle length to obtain the difference corresponding to each candidate hammer handle length; Determine the candidate hammer handle length with the smallest difference in the candidate hammer handle length group as the target hammer handle length;

[0096] In some embodiments, the preset coal particle size range can be a coal particle size range specified by the user, which can be from 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 range, 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 the pulverized coal type corresponding to each hammer handle length among multiple hammer handle lengths. On this basis, the qualified rate of the pulverized coal type 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 the pulverized coal type and the preset qualified rate of the coal type is the smallest. Therefore, 1.8 meters is determined as the target hammer handle length.

[0097] Step three, sort the multiple hammer head combination arrangement patterns in ascending order according to the number of hammer head maintenance times to obtain a hammer head combination arrangement pattern sequence; determine the hammer head combination arrangement pattern ranked first in the hammer head combination arrangement pattern sequence as the target hammer head combination arrangement pattern.

[0098] In some embodiments, if the number of hammer head maintenance times of hammer head combination arrangement pattern one (12 in a row, 10 rows in total) is 5 times, and the number of hammer head maintenance times of hammer head combination arrangement pattern two (12 in a row, 9 rows in total) is 1 time, then hammer head combination arrangement pattern two is determined as the target hammer head combination arrangement pattern.

[0099] In these embodiments, the problems of unqualified coke quality caused by relatively small coal particle size of the blended coal and frequent hammer head maintenance are solved. Specifically, the hammer handle length is screened through the coal particle size data in the historical operation records of the pulverizing equipment, and the hammer handle lengths with coal particle sizes within the preset range are added to the candidate group. Through the analysis of the difference between the qualified rate of the pulverized coal type and the preset qualified rate, the determined target hammer handle length can significantly improve the qualified rate of the coal type quality of the pulverizing equipment; according to the sorting of the number of hammer head maintenance times, the hammer head combination arrangement pattern with the least number of maintenance times is preferentially selected as the target hammer head combination arrangement pattern, which prolongs the continuous operation time of the pulverizing equipment, reduces the downtime caused by maintenance, and thus reduces the maintenance cost. Generally speaking, it improves the qualified rate of the coal type quality, improves the operation efficiency of the pulverizing equipment, and reduces the maintenance cost of the pulverizing equipment.

[0100] The above description is only some preferred embodiments of the present invention and an explanation of the applied technical principles. 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, and should also 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 technical solutions formed by mutually replacing the above features with the (but not limited to) technical features with similar functions disclosed in the present invention.

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 a first focus indicator set corresponding to the production target information, obtain a newly added coking coal blending scheme group and a 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 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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