Coal blending method, device and electronic equipment

Abstract

The present application provides a coal blending method, device and electronic equipment, including: obtaining target coal quality and target coal quantity of target coal sample products required by a loading station; obtaining warehouse entry data and warehouse exit data of coal sample products, and obtaining stratification data of first coal sample products corresponding to each layer in a candidate coal sample product warehouse based on the warehouse entry data and warehouse exit data; obtaining a benchmark coal blending quantity of each layer in each benchmark coal sample product warehouse and a supplementary coal blending quantity of each layer in a first candidate coal sample product warehouse other than the benchmark coal sample product warehouse based on the target coal quality, target coal quantity and stratification data; constructing a coal blending scheme corresponding to each benchmark coal sample product warehouse based on the benchmark coal blending quantity and the supplementary coal blending quantity, and using the coal blending scheme corresponding to each benchmark coal sample product warehouse as a candidate coal blending scheme; determining a target coal blending scheme from the candidate coal blending schemes based on the candidate coal quality and target coal quality as well as the candidate coal quantity and target coal quantity. The present application improves the accuracy and efficiency of obtaining coal blending schemes.

Description

Technical Field

[0001] The present application relates to the technical field of coal blending, and in particular to a coal blending method, device and electronic equipment. Background Art

[0002] In the related technology, the traditional coal blending method often cannot obtain the distribution of coal sample products in the coal bin. The coal preparation plant roughly divides the coal sample products into intermediate varieties such as lump coal and fine coal, and stores them in different coal bins. The average ash content, moisture content and calorific value data of each coal bin are obtained through sampling and testing. When loading, the mixing ratio of each coal bin is roughly calculated based on previous loading experience to complete the loading and coal blending. However, the above method often cannot quickly and accurately obtain the coal blending plan, and there may even be problems such as waste of calorific value or substandard quality. Therefore, how to quickly and accurately obtain the coal blending plan has become a problem that needs to be solved urgently. Summary of the invention

[0003] The first aspect of the present application provides a coal blending method, comprising: obtaining target coal quality and target coal quantity of target coal sample products required by a loading station; obtaining warehouse entry data and warehouse exit data of coal sample products, stratifying coal sample products entering a candidate coal sample product warehouse according to the warehouse entry data and the warehouse exit data, and obtaining stratification data of the first coal sample product corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height; sorting the candidate coal sample product warehouses to obtain a candidate coal sample product warehouse sequence, and taking the nth candidate coal sample product warehouse in the candidate coal sample product warehouse sequence as a reference coal sample product warehouse, wherein n is a natural number; selecting the first coal sample product warehouse from the reference coal sample product warehouse Starting from the bottom i layer, according to the target coal quality, the target coal quantity and the stratification data, obtain the benchmark coal blending quantity of each layer in each benchmark coal sample product bin and the supplementary coal blending quantity of each layer in the first candidate coal sample product bin other than the benchmark coal sample product bin, wherein i is a natural number; based on the benchmark coal blending quantity and the supplementary coal blending quantity, construct a coal blending scheme corresponding to each benchmark coal sample product bin, and use the coal blending scheme corresponding to each benchmark coal sample product bin as a candidate coal blending scheme; obtain the candidate coal quality and candidate coal quantity corresponding to the candidate coal blending scheme, and determine the target coal blending scheme from the candidate coal blending schemes according to the candidate coal quality and the target coal quality as well as the candidate coal quantity and the target coal quantity.

[0004] The second aspect of the present application provides a coal blending device, comprising: a first acquisition module, used to acquire the target coal quality and target coal quantity of the target coal sample product required by the loading station; a stratification module, used to acquire the warehouse entry data and warehouse exit data of the coal sample product, and stratify the coal sample products entering the candidate coal sample product warehouse according to the warehouse entry data and the warehouse exit data, and acquire the stratification data of the first coal sample product corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height; a second acquisition module, used to sort the candidate coal sample product warehouses, acquire the candidate coal sample product warehouse sequence, and use the nth candidate coal sample product warehouse in the candidate coal sample product warehouse sequence as the benchmark coal sample product warehouse, wherein n is a natural number; the coal blending module, used to select the candidate coal sample product warehouses from the candidate coal sample product warehouses. Starting from the bottom i layer in the benchmark coal sample product bin, according to the target coal quality, the target coal quantity and the stratification data, obtain the benchmark coal blending quantity of each layer in each benchmark coal sample product bin and the supplementary coal blending quantity of each layer in the first candidate coal sample product bin other than the benchmark coal sample product bin, wherein i is a natural number; a third acquisition module is used to construct a coal blending scheme corresponding to each benchmark coal sample product bin based on the benchmark coal blending quantity and the supplementary coal blending quantity, and use the coal blending scheme corresponding to each benchmark coal sample product bin as a candidate coal blending scheme; a determination module is used to obtain the candidate coal quality and candidate coal quantity corresponding to the candidate coal blending scheme, and determine the target coal blending scheme from the candidate coal blending schemes according to the candidate coal quality and the target coal quality as well as the candidate coal quantity and the target coal quantity.

[0005] An embodiment of the third aspect of the present application provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the coal blending method provided in the first aspect of the present application.

[0006] The fourth aspect of the present application provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the coal blending method provided in the first aspect of the present application.

[0007] The fifth aspect of the present application provides a computer program product. When the instruction processor in the computer program product executes, the coal blending method provided in the first aspect of the present application is executed.

[0008] The coal blending method and device provided in the present application obtain the target coal quality and target coal quantity of the target coal sample product required by the loading station, obtain the entry data and exit data of the coal sample product, stratify the coal sample products entering the candidate coal sample product bin according to the entry data and exit data, obtain the stratification data of the first coal sample product corresponding to each layer in the candidate coal sample product bin, wherein the stratification data includes coal quality, coal quantity and coal height, sort the candidate coal sample product bins, obtain the candidate coal sample product bin sequence, take the nth candidate coal sample product bin in the candidate coal sample product bin sequence as the benchmark coal sample product bin, and start from the bottom i layer in the benchmark coal sample product bin, obtain the benchmark coal blending quantity of each layer in each benchmark coal sample product bin and the first layer except the benchmark coal sample product bin according to the target coal quality, target coal quantity and stratification data. The supplementary coal blending amount of each layer in a candidate coal sample product bin, based on the benchmark coal blending amount and the supplementary coal blending amount, constructs a coal blending plan corresponding to each benchmark coal sample product bin, takes the coal blending plan corresponding to each benchmark coal sample product bin as a candidate coal blending plan, obtains the candidate coal quality and candidate coal quantity corresponding to the candidate coal blending plan, determines the target coal blending plan from the candidate coal blending plans according to the candidate coal quality and target coal quality as well as the candidate coal quantity and target coal quantity, thereby improving the accuracy and efficiency of obtaining the coal blending plan by obtaining the stratified data of the coal sample product bin, and determining the candidate coal blending plan according to the required target coal quality, target coal quantity and stratified data, and determining the optimal target coal blending plan from the candidate coal blending plans. The target coal blending plan can avoid heat waste or non-compliance with the requirements to the greatest extent.

[0009] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0011] Figure 1 This is a schematic diagram of a process of a coal blending method according to an embodiment of the present application;

[0012] Figure 2 This is a schematic flow chart of a coal blending method according to another embodiment of the present application;

[0013] Figure 3 This is a schematic flow chart of a coal blending method according to another embodiment of the present application;

[0014] Figure 4 This is a schematic flow chart of a coal blending method according to another embodiment of the present application;

[0015] Figure 5 This is a schematic diagram of the layered structure of a coal sample product bin according to an embodiment of the present application;

[0016] Figure 6 This is a schematic flow chart of a coal blending method according to another embodiment of the present application;

[0017] Figure 7 This is a structural schematic diagram of a coal blending system according to an embodiment of the present application;

[0018] Figure 8 This is a structural schematic diagram of a coal blending device according to an embodiment of the present application;

[0019] Fig. 9 It is a block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0021] The coal blending method, device, electronic device and medium of the embodiments of the present application are described below with reference to the accompanying drawings.

[0022] Figure 1 FIG. 1 is a flow chart of a coal blending method according to an embodiment of the present application. Figure 1 As shown, the method includes:

[0023] S101, obtaining the target coal quality and target coal quantity of the target coal sample product required by the loading station.

[0024] It should be noted that the present application does not limit the specific method for obtaining the target coal quality and target coal quantity of the target coal sample product required by the loading station, and it can be selected according to actual conditions.

[0025] Optionally, the demand information of the loading station when applying for loading can be obtained, and the target coal quality of the required target coal sample product can be obtained from the demand information. and target coal quantity .

[0026] S102, obtaining the warehouse entry data and warehouse exit data of the coal sample products, stratifying the coal sample products entering the candidate coal sample product warehouse according to the warehouse entry data and warehouse exit data, and obtaining the stratification data of the first coal sample products corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height.

[0027] In an embodiment of the present application, after obtaining the entry data and exit data, the coal sample products entering the candidate coal sample product bin can be stratified according to the entry data and exit data, and the stratification data of the first coal sample products corresponding to each layer in the candidate coal sample product bin can be obtained, wherein the stratification data includes coal quality, coal quantity and coal height.

[0028] Optionally, coal quality data of the coal sample product collected by an ash meter during the warehousing process is obtained, wherein the coal quality data includes ash data, moisture data and calorific value data; the coal sample products are divided according to the ash data of the coal sample products, the first coal sample product within the same ash data interval is determined, and the coal quality of the first coal sample product is determined from the coal quality data of the coal sample products.

[0029] Optionally, obtain the initial coal quantity of the first coal sample product in the candidate coal sample product warehouse before entering the warehouse, obtain the entry start time, entry end time, exit start time and exit end time of the first coal sample product in the same ash data interval, integrate the first instantaneous coal quantity of the entry belt scale at the entry start time and entry end time to obtain the entry coal quantity of the first coal sample product, integrate the second instantaneous coal quantity of the loading belt scale at the exit start time and exit end time to obtain the exit coal quantity of the first coal sample product, and determine the coal quantity of the first coal sample product based on the initial coal quantity, entry coal quantity and exit coal quantity.

[0030] Optionally, obtain the initial height of the first coal sample product in the candidate coal sample product bin before entering the bin, obtain the total coal quantity and total coal height in the candidate coal sample product bin, obtain a first ratio between the first instantaneous coal quantity and the total coal quantity and a second ratio between the second instantaneous coal quantity and the total coal quantity, integrate the product of the first ratio and the total coal height at the start time and end time of entering the bin to obtain the entry height of the first coal sample product, integrate the product of the second ratio and the total coal height at the start time and end time of leaving the bin to obtain the exit height of the first coal sample product, and determine the coal height of the first coal sample product based on the initial height, entry height and exit height.

[0031] S103, sorting the candidate coal sample product bins to obtain a candidate coal sample product bin sequence, and taking the nth candidate coal sample product bin in the candidate coal sample product bin sequence as a reference coal sample product bin, where n is a natural number.

[0032] For example, if the number of candidate coal sample product bins is 3, namely candidate coal sample product bin 1, candidate coal sample product bin 2 and candidate coal sample product bin 3, by sequentially processing the candidate coal sample product bins, the obtained candidate coal sample product bin sequence is {candidate coal sample product bin 1, candidate coal sample product bin 2, candidate coal sample product bin 3}.

[0033] In the embodiment of the present application, any candidate coal sample product bin may be selected from the candidate coal sample product bin sequence as a reference coal sample product bin.

[0034] For example, if the coal quality of candidate coal sample product bin 1 is closest to the target coal quality, the first candidate coal sample product 1 in the candidate coal sample product bin sequence {candidate coal sample product bin 1, candidate coal sample product bin 2, candidate coal sample product bin 3} can be first used as the benchmark coal sample product bin, and secondly, the second candidate coal sample product 2 can be used as the benchmark coal sample product bin, and the third candidate coal sample product 3 can be used as the benchmark coal sample product bin.

[0035] S104, starting from the bottom i layer in the benchmark coal sample product bin, obtain the benchmark coal blending quantity of each layer in each benchmark coal sample product bin and the supplementary coal blending quantity of each layer in the first candidate coal sample product bin except the benchmark coal sample product bin according to the target coal quality, target coal quantity and stratification data, where i is a natural number.

[0036] In an embodiment of the present application, a first benchmark coal blending quantity of the bottom i layer in the benchmark coal sample product bin can be obtained based on the stratification data. In response to the first benchmark coal blending quantity not meeting the target coal quantity, a supplementary coal blending quantity of the bottom i layer in the first coal sample product bin is obtained based on the stratification data, the target coal quality, the target coal quantity and the first benchmark coal blending quantity. The current total coal blending quantity is determined based on the first benchmark coal blending quantity and the supplementary coal blending quantity. In response to the current total coal blending quantity including the coal quantity corresponding to the bottom i layer in all candidate coal sample product bins and the current total coal blending quantity not meeting the target coal quantity, the second benchmark coal blending quantity of the i+1th layer in the benchmark coal sample product bin is continuously obtained based on the stratification data. The current total coal blending quantity is updated based on the second benchmark coal blending quantity. The above steps are repeated until the total coal blending quantity meets the target coal quantity, thereby obtaining the benchmark coal blending quantity corresponding to each layer in the benchmark coal sample product bin and the supplementary coal blending quantity corresponding to each layer in the first coal sample product bin.

[0037] S105, based on the reference coal blending quantity and the supplementary coal blending quantity, construct a coal blending scheme corresponding to each reference coal sample product bin, and use the coal blending scheme corresponding to each reference coal sample product bin as a candidate coal blending scheme.

[0038] In an embodiment of the present application, after obtaining the benchmark coal blending quantity and the supplementary coal blending quantity, a coal blending plan corresponding to each benchmark coal sample product bin can be constructed based on the benchmark coal blending quantity and the supplementary coal blending quantity, and the coal blending plan corresponding to each benchmark coal sample product bin can be used as a candidate coal blending plan.

[0039] For example, for candidate coal sample product bin 1 as the benchmark coal sample product bin, candidate coal blending scheme 1 is obtained through the benchmark coal blending quantity and the supplementary coal blending quantity; for candidate coal sample product bin 2 as the benchmark coal sample product bin, candidate coal blending scheme 2 is obtained; and for candidate coal sample product bin 3 as the benchmark coal sample product bin, candidate coal blending scheme 3 is obtained.

[0040] S106, obtaining candidate coal qualities and candidate coal quantities corresponding to the candidate coal blending schemes, and determining a target coal blending scheme from the candidate coal blending schemes according to the candidate coal qualities and target coal qualities as well as the candidate coal quantities and target coal quantities.

[0041] In an embodiment of the present application, after obtaining the candidate coal qualities and candidate coal quantities, the coal quality difference value of the candidate coal blending schemes can be determined based on the target coal quality and the candidate coal quality, and the coal quantity difference value of the candidate coal blending schemes can be determined based on the target coal quantity and the candidate coal quantity; based on the coal quality difference value and the coal quantity difference value, the target coal blending scheme can be determined from the candidate coal blending schemes.

[0042] Optionally, the sum of the coal quality difference value and the coal quantity difference value may be obtained, and the sum may be used as the total difference value of the candidate coal blending schemes. The candidate coal blending scheme with the first total difference value may be sorted in ascending order, and the candidate coal blending scheme may be used as the target coal blending scheme.

[0043] For example, for candidate coal blending scheme 1, candidate coal blending scheme 2 and candidate coal blending scheme 3, if the total difference value of candidate coal blending scheme 1 is X1, if the total difference value of candidate coal blending scheme 2 is X2, and if the total difference value of candidate coal blending scheme 3 is X3, and X2<X1<X3, then candidate coal blending scheme 2 is taken as the optimal target coal blending scheme.

[0044] In an embodiment of the present application, after obtaining the target coal blending scheme, the coal feeder control parameters corresponding to the candidate coal sample product bin can be determined based on the target coal blending scheme and the coal feeder attribute parameters, wherein the control parameters include the number of coal feeder starts and stops, the start and stop frequency, and the start and stop time.

[0045] For example, after obtaining the target coal blending plan and coal feeder attribute parameters (frequency and hourly quantity, etc.), determine the start and stop number, start and stop frequency and start and stop time of the coal feeder corresponding to the candidate coal sample product bin, and generate control instructions based on the control parameters. The control instructions are sent to the editable logic controller program to drive the coal feeder actuator (motor and frequency converter, etc.) to achieve precise control of the coal feeding amount.

[0046] Optionally, the operating status of the coal feeder and the delivery of the coal sample product can be monitored in real time, and dynamic adjustments can be made based on the feedback information. The output of the actuator (such as the motor speed) can be adjusted to maintain a constant coal feed rate based on the target coal feed rate.

[0047] The coal blending method proposed in the present application obtains the target coal quality and target coal quantity of the target coal sample product required by the loading station, obtains the warehouse entry data and warehouse exit data of the coal sample product, and stratifies the coal sample products entering the candidate coal sample product warehouse according to the warehouse entry data and warehouse exit data, and obtains the stratification data of the first coal sample product corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height, sorts the candidate coal sample product warehouses, obtains the candidate coal sample product warehouse sequence, takes the nth candidate coal sample product warehouse in the candidate coal sample product warehouse sequence as the benchmark coal sample product warehouse, and starts from the bottom i layer in the benchmark coal sample product warehouse, obtains the benchmark coal blending quantity of each layer in each benchmark coal sample product warehouse and the first coal sample product corresponding to each layer except the benchmark coal sample product warehouse according to the target coal quality, target coal quantity and stratification data. The supplementary coal blending amount of each layer in the candidate coal sample product bin, based on the benchmark coal blending amount and the supplementary coal blending amount, constructs a coal blending plan corresponding to each benchmark coal sample product bin, takes the coal blending plan corresponding to each benchmark coal sample product bin as a candidate coal blending plan, obtains the candidate coal quality and candidate coal quantity corresponding to the candidate coal blending plan, and determines the target coal blending plan from the candidate coal blending plans according to the candidate coal quality and target coal quality as well as the candidate coal quantity and target coal quantity. Therefore, the present application obtains the stratification data of the coal sample product bin, determines the candidate coal blending plan according to the required target coal quality, target coal quantity and stratification data, and determines the optimal target coal blending plan from the candidate coal blending plans, thereby improving the accuracy and efficiency of obtaining the coal blending plan, and based on the target coal blending plan, it can avoid heat waste or non-compliance with the requirements to the greatest extent.

[0048] In the above embodiment, the specific process of stratifying the coal sample products entering the candidate coal sample product bin according to the entry data and exit data and obtaining the coal quality of the first coal sample products corresponding to each layer in the candidate coal sample product bin can be combined with Figure 2 Further understanding, Figure 2 FIG. 1 is a flow chart of a coal blending method according to another embodiment of the present application. Figure 2 As shown, the method includes:

[0049] S201, obtaining coal quality data of the coal sample product collected by an ash content meter during the coal sample product entering the warehouse, wherein the coal quality data includes ash content data, moisture content data and calorific value data.

[0050] S202, classifying the coal sample products according to their ash data, and determining the first coal sample product within the same ash data interval.

[0051] In the embodiment of the present application, a plurality of ash content data intervals may be preset, for example, the ash content data intervals may be set to Ad10 to Ad11, Ad20 to Ad21, and Ad30 to Ad31, etc.

[0052] In the embodiment of the present application, after the ash data of the coal sample products are obtained, the coal sample products can be divided according to the ash data of the coal sample products to determine the first coal sample product within the same ash data interval.

[0053] For example, the coal sample products can be divided according to their ash data to determine the first coal sample product in the ash data interval Ad10~Ad11, the first coal sample product in the ash data interval Ad20~Ad21, and the first coal sample product in the ash data interval Ad30~Ad31.

[0054] S203, determining the coal quality of the first coal sample product from the coal quality data of the coal sample product.

[0055] In the embodiment of the present application, the coal quality of the first coal sample product can be determined from the coal quality data of the coal sample product.

[0056] In the above embodiment, the specific process of stratifying the coal sample products entering the candidate coal sample product bin according to the entry data and exit data and obtaining the coal quantity of the first coal sample product corresponding to each layer in the candidate coal sample product bin can be combined with Figure 3 Further understanding, Figure 3 FIG. 1 is a flow chart of a coal blending method according to another embodiment of the present application. Figure 3 As shown, the method includes:

[0057] S301, obtaining the initial coal quantity of the first coal sample product in the candidate coal sample product bin before entering the bin.

[0058] S302, obtaining the entry start time, entry end time, exit start time and exit end time of the first coal sample product in the same ash content data interval.

[0059] Optionally, during the process of the coal sample product entering the warehouse, the start signal and stop signal of the warehouse entry belt can be collected in real time. The start time and stop time of the warehouse entry belt can be obtained through the start signal and stop signal. Based on the start time and stop time of the warehouse entry belt, the warehouse entry time interval of the coal sample product is determined. The start signal and stop signal of the loading belt can be collected in real time. The start time and stop time of the loading belt within the warehouse entry time interval can be obtained through the start signal and stop signal. Based on the start time and stop time of the warehouse exit belt, the warehouse exit time interval of the coal sample product is determined.

[0060] Optionally, the ash data of the coal sample product collected by the ash meter can be used to divide the entry time interval according to the ash data interval, determine the entry time sub-interval of the first coal sample product within the same ash data interval, and obtain the entry start time t1 and entry end time t2 of the first coal sample product from the entry time sub-interval. The exit time interval can be divided according to the ash data interval, determine the exit time sub-interval of the first coal sample product within the same ash data interval, and obtain the exit start time t3 and exit end time t4 of the first coal sample product from the exit time sub-interval.

[0061] S303, integrating the first instantaneous coal quantity of the conveyor belt scale entering the warehouse at the warehouse entry start time and warehouse entry end time to obtain the warehouse entry coal quantity of the first coal sample product.

[0062] For example, the following formula can be used to obtain the amount of coal entering the warehouse for the first coal sample product:

[0063] I(t1,t2)=

[0064] Among them, I(t1, t2) is the amount of coal entering the warehouse for the first coal sample product, t1 is the start time of entering the warehouse, t2 is the end time of entering the warehouse, is the first instantaneous coal quantity.

[0065] S304, integrating the second instantaneous coal quantity of the loading belt scale at the start time and the end time of the coal discharge, and obtaining the coal discharge quantity of the first coal sample product.

[0066] For example, the following formula can be used to obtain the amount of coal entering and leaving the warehouse for the first coal sample product:

[0067] O(t3,t4)=

[0068] Among them, O(t3, t4) is the coal quantity of the first coal sample product out of the warehouse, t3 is the start time of entering the warehouse, t4 is the end time of entering the warehouse, is the second instantaneous coal quantity.

[0069] S305, determining the coal quantity of the first coal sample product according to the initial coal quantity, the coal quantity entering the warehouse and the coal quantity leaving the warehouse.

[0070] In the embodiment of the present application, after obtaining the initial coal quantity, the coal quantity entering the warehouse, and the coal quantity leaving the warehouse, the coal quantity of the first coal sample product can be determined using the following formula:

[0071] M(1)=M(t1)+I(t1,t2)-O(t3,t4)

[0072] Among them, M(1) is the coal quantity of the first coal sample product, M(t1) is the initial coal quantity, I(t1, t2) is the coal quantity entering the warehouse, and O(t3, t4) is the coal quantity leaving the warehouse.

[0073] In the above embodiment, the specific process of stratifying the coal sample products entering the candidate coal sample product bin according to the entry data and exit data and obtaining the coal height of the first coal sample product corresponding to each layer in the candidate coal sample product bin can be combined with Figure 4 Further understanding, Figure 4 FIG. 1 is a flow chart of a coal blending method according to another embodiment of the present application. Figure 4 As shown, the method includes:

[0074] S401, obtaining the initial height of the first coal sample product in the candidate coal sample product bin before entering the bin.

[0075] S402, obtaining the total coal quantity and total coal height of the candidate coal sample product bin, obtaining a first ratio between the first instantaneous coal quantity and the total coal quantity and a second ratio between the second instantaneous coal quantity and the total coal quantity.

[0076] For example, if the total coal quantity is , then the first ratio between the first instantaneous coal quantity and the total coal quantity is , then the second ratio between the second instantaneous coal quantity and the total coal quantity is .

[0077] S403, integrating the product of the first ratio and the total coal height at the warehouse entry start time and the warehouse entry end time to obtain the warehouse entry height of the first coal sample product.

[0078] In the embodiment of the present application, the following formula can be used to obtain the storage height of the first coal sample product:

[0079] IH(t1,t2)=

[0080] Among them, IH(t1,t2) is the height of the warehouse, is the first ratio, is the total coal height, t1 is the start time of storage, and t2 is the end time of storage.

[0081] S404, integrating the product of the second ratio and the total coal height at the warehouse exit start time and warehouse exit end time to obtain the warehouse exit height of the first coal sample product.

[0082] In the embodiment of the present application, the following formula can be used to obtain the exit height of the first coal sample product:

[0083] OH(t3,t4)=

[0084] Among them, OH(t3,t4) is the height of the warehouse, is the second ratio, is the total coal height, t3 is the start time of coal discharge, and t4 is the end time of coal discharge.

[0085] S405, determining the coal height of the first coal sample product according to the initial height, the entry height and the exit height.

[0086] In the embodiment of the present application, after the initial height, the in-warehouse height, and the out-warehouse height are obtained, the coal height of the first coal sample product can be determined using the following formula:

[0087] H(1)=H(t1)+IH(t1,t2)-OH(t3,t4)

[0088] Among them, H(1) is the coal height of the first coal sample product, H(t1) is the initial height, IH(t1, t2) is the entry height, and OH(t3, t4) is the exit height.

[0089] It should be noted that, in the above process of obtaining stratified data, only the case where the instantaneous amount of coal on the belt scale is within a fixed value range and there is only one scraper entering the warehouse is considered. When the instantaneous amount of coal on the belt scale is not within the fixed value range and / or there are multiple scrapers entering the warehouse, it is often impossible to truly simulate the stratified data of the candidate coal sample product warehouse. Therefore, it is necessary to introduce more complex algorithms to handle multi-variable and multi-input situations. Therefore, by introducing the BP neural network model as the coal sample product height prediction model, the coal sample product height prediction model consists of an input layer, a hidden layer and an output layer.

[0090] Among them, the model matrix is ​​as follows, the number of input layer nodes is 4, x is the instantaneous amount of coal on the inlet belt scale, the instantaneous amount of the outlet belt, the scraper data, the level meter data and other input parameters, the number of output layer nodes is 1, and y is the height of the coal sample product.

[0091]

[0092] Optionally, the coal sample product height prediction model can be trained using historical data, and the network weights and biases can be adjusted through the back propagation algorithm. The value of the loss function is monitored during the training process to ensure that the model is learning and avoid overfitting. The loss function uses the mean square error to measure the difference between the model predicted value and the actual value. The optimization algorithm uses a gradient descent algorithm to adjust the network weights and biases to minimize the loss function to obtain a pre-trained coal sample product height prediction model.

[0093] In an embodiment of the present application, in response to the instantaneous amount of coal on the belt scale not being within a fixed value range and / or there being multiple scrapers entering the warehouse, the first instantaneous coal amount, the second instantaneous coal amount, the scraper data and the level meter data are input into a pre-trained coal sample product height prediction model to obtain a target height of the first coal sample product, and the target height is used as the coal height of the first coal sample product.

[0094] For example, Figure 5 As shown, for the candidate coal sample product bin 1, by obtaining the entry data and exit data of the candidate coal sample product bin 1, the coal sample products entering the candidate coal sample product bin are stratified according to the entry data and exit data, and the stratified data of the first coal sample products corresponding to each layer in the candidate coal sample product bin are obtained, that is, the coal quality (ash content Ad10~Ad11), height L1 meter and weight M1 ton of the first coal sample product (product P1), the coal quality (ash content Ad20~Ad21), height L2 meters and weight M2 tons of the first coal sample product (product P2), the coal quality (ash content Ad10~Ad11), height L11 meters and weight M11 tons of the first coal sample product (product P1), and the coal quality (ash content Ad30~Ad31), height L3 meters and weight M3 tons of the first coal sample product (product P3). By obtaining the stratified data of the first coal sample products corresponding to each layer in the candidate coal sample product bin 1, the modeling of the candidate coal sample product bin can be realized.

[0095] The coal blending method proposed in the present application obtains the entry data and exit data of the coal sample products, and stratifies the coal sample products entering the candidate coal sample product warehouse according to the entry data and exit data, and obtains the stratification data of the first coal sample products corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height. Therefore, the present application provides detailed data support for the subsequent determination of the coal blending plan by obtaining the coal quality, coal quantity and coal height of the first coal sample products corresponding to each layer in the candidate coal sample product warehouse, and can more clearly and intuitively obtain the distribution of coal sample products in the candidate coal sample product warehouse, laying the foundation for subsequently ensuring the accuracy and efficiency of the coal blending plan.

[0096] In the above embodiment, the specific process of obtaining the reference coal blending quantity of each layer in each reference coal sample product bin and the supplementary coal blending quantity of each layer in the first candidate coal sample product bin other than the reference coal sample product bin according to the target coal quality, target coal quantity and stratification data can be combined with Figure 6 Further understanding, Figure 6 FIG. 1 is a flow chart of a coal blending method according to another embodiment of the present application. Figure 6 As shown, the method includes:

[0097] S601, obtaining the first reference coal blending quantity of the bottom layer i in the reference coal sample product bin according to the stratified data.

[0098] For example, if the candidate coal sample product bin 1 is used as the reference coal sample product bin, according to the stratification data of the candidate coal sample product bin 1, the coal weight of the bottom i layer in the candidate coal sample product bin 1 can be used as the first reference coal blending amount f( ).

[0099] S602, in response to the first reference coal blending quantity not meeting the target coal quantity, obtaining the supplementary coal blending quantity of the bottom i layer in the first coal sample product bin according to the stratification data, the target coal quality, the target coal quantity and the first reference coal blending quantity.

[0100] In the embodiment of the present application, in response to the first benchmark coal blending quantity satisfying the target coal quantity, the coal blending quantity provided by the benchmark coal sample product bin in the coal blending scheme is the first benchmark coal blending quantity, and the coal blending quantities provided by other coal sample product bins are all 0.

[0101] In an embodiment of the present application, in response to the first benchmark coal blending quantity not meeting the target coal quantity, the supplementary coal blending quantity of the bottom i layer in the first coal sample product bin is obtained based on the stratification data, target coal quality, target coal quantity and the first benchmark coal blending quantity.

[0102] For example, for candidate product bin 2 as the first coal sample product bin, the following formula can be used to obtain the supplementary coal amount of the bottom i layer in candidate product bin 2:

[0103] f( )=( * -f( )* ) /

[0104] Among them, f( ) is the supplementary coal quantity of the bottom i layer in the candidate product bin 2, Target coal quality, is the target coal quantity, f( ) is the first benchmark coal blending quantity, The coal quality of the bottom layer i in the benchmark coal sample product bin, is the coal quality of the bottom i layer in candidate product bin 2.

[0105] S603: Determine the current total coal blending quantity according to the first reference coal blending quantity and the supplementary coal blending quantity.

[0106] In this embodiment of the present application, the sum of the first baseline coal blending quantity and the supplementary coal blending quantity can be used as the current total coal blending quantity to determine whether the current total coal blending quantity meets the target coal quantity. If the current total coal blending quantity does not meet the target coal quantity, continue to obtain the remaining coal blending quantity of the bottom i layer of the first coal sample product bin.

[0107] For example, if the number of candidate coal sample product bins is 3, if the current total coal blending amount does not meet the target coal amount, then for candidate product bin 3 as the first coal sample product bin, the following formula can be used to obtain the supplementary coal blending amount of the bottom i layer in candidate product bin 3:

[0108] f( )=( * -f( )* ) /

[0109] Among them, f( ) is the supplementary coal quantity of the bottom i layer in the candidate product bin 3, Target coal quality, is the target coal quantity, f( ) is the first benchmark coal blending quantity, The coal quality of the bottom layer i in the benchmark coal sample product bin, is the coal quality of the bottom i layer in the candidate product bin 2, f( ) is the supplementary coal quantity of the bottom i layer in the candidate product bin 2, It is the coal quality of the bottom i layer in the candidate product bin 3.

[0110] S604, in response to the current total coal blending quantity including the coal quantity corresponding to the bottom i layer in all candidate coal sample product bins, and the current total coal blending quantity does not meet the target coal quantity, continue to obtain the second benchmark coal blending quantity of the i+1th layer in the benchmark coal sample product bin based on the stratification data, update the current total coal blending quantity based on the second benchmark coal blending quantity, repeat the above steps until the total coal blending quantity meets the target coal quantity, and obtain the benchmark coal blending quantity corresponding to each layer in the benchmark coal sample product bin and the supplementary coal blending quantity corresponding to each layer in the first coal sample product bin.

[0111] In an embodiment of the present application, in response to the current total coal blending quantity including the coal quantity corresponding to the bottom i layer in all candidate coal sample product bins, and the current total coal blending quantity does not meet the target coal quantity, the second benchmark coal blending quantity of the i+1th layer in the benchmark coal sample product bin is obtained based on the stratification data, and the current total coal blending quantity is updated based on the second benchmark coal blending quantity. In response to the updated total coal blending quantity not meeting the target coal quantity, the supplementary coal blending quantity of the bottom i+1 layer in the first coal sample product bin is obtained. The above steps are repeated until the total coal blending quantity meets the target coal quantity, and the benchmark coal blending quantity corresponding to each layer in the benchmark coal sample product bin and the supplementary coal blending quantity corresponding to each layer in the first coal sample product bin are obtained.

[0112] The coal blending method proposed in the present application obtains a first benchmark coal blending quantity of a bottom layer i in a benchmark coal sample product bin according to stratification data; in response to the first benchmark coal blending quantity not meeting a target coal quantity, obtains a supplementary coal blending quantity of a bottom layer i in the first coal sample product bin according to the stratification data, the target coal quality, the target coal quantity and the first benchmark coal blending quantity; determines the current total coal blending quantity according to the first benchmark coal blending quantity and the supplementary coal blending quantity; in response to the current total coal blending quantity including the coal quantities corresponding to the bottom layer i in all candidate coal sample product bins, and the current total coal blending quantity not meeting the target coal quantity, continues to obtain a second benchmark coal blending quantity of the i+1th layer in the benchmark coal sample product bin according to the stratification data; and updates the current total coal blending quantity based on the second benchmark coal blending quantity. New, repeat the above steps until the total coal blending quantity meets the target coal quantity, and obtain the benchmark coal blending quantity corresponding to each layer in the benchmark coal sample product bin and the supplementary coal blending quantity corresponding to each layer in the first coal sample product bin. Therefore, the present application obtains the stratification data of the coal sample product bin, and determines the benchmark coal blending quantity corresponding to each layer in the benchmark coal sample product bin and the supplementary coal blending quantity corresponding to each layer in the first coal sample product bin according to the required target coal quality, target coal quantity and stratification data, and constructs a coal blending plan corresponding to each benchmark coal sample product bin based on the benchmark coal blending quantity and the supplementary coal blending quantity, thereby improving the accuracy and efficiency of obtaining the coal blending plan, and can avoid calorific value waste or non-compliance with the requirements to the greatest extent based on the target coal blending plan.

[0113] It should be noted that, based on the coal blending method proposed in this application, Figure 7 As shown, a coal blending system can be constructed, wherein the coal blending system includes a data acquisition module, a data storage module, a coal sample product bin stratification module, a coal blending calculation module and a coal feeder control module.

[0114] For example, for the data acquisition module, in the process of coal sample products entering the warehouse, the start and stop data of the warehouse entry belt (start and stop feedback signal), the data of the ash meter (ash content, moisture, calorific value), the belt scale (instantaneous quantity, cumulative quantity), the coal sample product warehouse level meter (coal sample product height) and other equipment and sensor control data are involved; in the process of coal sample products leaving the warehouse, the loading belt (start and stop feedback signal), belt scale (instantaneous quantity, cumulative quantity), coal feeder (start and stop feedback signal, start and stop control signal) and other equipment and sensor control data are involved. In the entire loading process, it also includes static data such as coal machine frequency, coal feeder hourly quantity, coal warehouse, etc. The equipment configuration information associated with the coal sample product warehouse maintains and ensures the accuracy of the associated data. For the control data, the industrial collection protocol adopts the second-level data collection method, and for the static data, normal maintenance is performed according to the equipment parameters and historical experience data; for the data storage module, after obtaining the data collected by the data collection module, the data storage module can be used for data storage. Redis can be selected as a combination of memory data storage and HBase as historical data storage. Among them, Redis has a pre-allocated memory pool and a memory recycling mechanism, which can optimize the memory usage efficiency and performance, support data persistence, and ensure that the data can be quickly restored when an abnormality occurs in the system, ensuring the efficiency and stability of the system. Among them, HBase is a column-based distributed and scalable big data storage system that can process massive historical data and ensure high scalability and availability of data; for the coal sample product warehouse stratification module, according to the warehouse entry data and warehouse exit data collected by the data collection module, the coal sample products entering the candidate coal sample product warehouse are stratified, and the coal quality, coal quantity and coal height of each layer of coal sample products in the candidate coal sample product warehouse are obtained. The specific process will not be repeated here, and please refer to the above embodiment; for the coal blending calculation module, it is used to obtain the coal sample products from any Starting from the bottom i layer in the benchmark coal sample product bin, the benchmark coal blending quantity of each layer in each benchmark coal sample product bin and the supplementary coal blending quantity of each layer in the first candidate coal sample product bin other than the benchmark coal sample product bin are calculated according to the target coal quality, target coal quantity and stratification data to obtain the coal blending plan. The specific process will not be repeated here, and please refer to the above embodiment; for the coal feeder control module, it is used to determine the coal feeder control parameters corresponding to the coal sample product bin based on the target coal blending plan and the coal feeder attribute parameters, wherein the control parameters include the number of start and stop units, the start and stop frequency and the start and stop time of the coal feeder. The specific process will not be repeated here, and please refer to the above embodiment.

[0115] To summarize, the coal blending method proposed in this application obtains the stratification data of the coal sample product bin, and determines the candidate coal blending schemes according to the required target coal quality, target coal quantity and stratification data, and determines the optimal target coal blending scheme from the candidate coal blending schemes, thereby improving the accuracy and efficiency of obtaining the coal blending schemes. Based on the target coal blending scheme, it can avoid heat waste or non-compliance with the requirements to the greatest extent, thereby achieving the optimal configuration of coal loading and maximizing the economic benefits.

[0116] Figure 8 This is a schematic diagram of the structure of a coal blending device according to an embodiment of the present application. Figure 8 As shown, the coal blending device 800 includes a first acquisition module 81, a stratification module 82, a second acquisition module 83, a coal blending module 84, a third acquisition module 85 and a determination module 86, wherein:

[0117] The first acquisition module 81 is used to obtain the target coal quality and target coal quantity of the target coal sample product required by the loading station;

[0118] The stratification module 82 is used to obtain the warehouse entry data and warehouse exit data of the coal sample product, and stratify the coal sample products entering the candidate coal sample product warehouse according to the warehouse entry data and the warehouse exit data, and obtain the stratification data of the first coal sample product corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height;

[0119] The second acquisition module 83 is used to sort the candidate coal sample product bins to obtain a candidate coal sample product bin sequence, and use the nth candidate coal sample product bin in the candidate coal sample product bin sequence as a reference coal sample product bin, wherein n is a natural number;

[0120] The coal blending module 84 is used to obtain the reference coal blending quantity of each layer in each reference coal sample product bin and the supplementary coal blending quantity of each layer in the first candidate coal sample product bin other than the reference coal sample product bin, starting from the bottom i layer in the reference coal sample product bin, according to the target coal quality, the target coal quantity and the stratification data, wherein i is a natural number;

[0121] A third acquisition module 85 is used to construct a coal blending scheme corresponding to each benchmark coal sample product bin based on the benchmark coal blending amount and the supplementary coal blending amount, and use the coal blending scheme corresponding to each benchmark coal sample product bin as a candidate coal blending scheme;

[0122] The determination module 86 is used to obtain the candidate coal quality and the candidate coal quantity corresponding to the candidate coal blending scheme, and determine the target coal blending scheme from the candidate coal blending schemes according to the candidate coal quality and the target coal quality as well as the candidate coal quantity and the target coal quantity.

[0123] The coal blending device provided in the second aspect of the present application also has the following technical features, including:

[0124] According to one embodiment of the present application, the second acquisition module 82 is used to: obtain coal quality data of the coal sample product collected by an ash meter during the warehousing process of the coal sample product, wherein the coal quality data includes ash data, moisture data and calorific value data; divide the coal sample product according to the ash data of the coal sample product to determine the first coal sample product within the same ash data interval; determine the coal quality of the first coal sample product from the coal quality data of the coal sample product.

[0125] According to one embodiment of the present application, the second acquisition module 82 is used to: obtain the initial coal quantity of the first coal sample product in the candidate coal sample product warehouse before entering the warehouse; obtain the warehouse entry start time, warehouse entry end time, warehouse exit start time and warehouse exit end time of the first coal sample product in the same ash data interval; integrate the first instantaneous coal quantity of the warehouse entry belt scale at the warehouse entry start time and warehouse entry end time to obtain the warehouse entry coal quantity of the first coal sample product; integrate the second instantaneous coal quantity of the loading belt scale at the warehouse exit start time and warehouse exit end time to obtain the warehouse exit coal quantity of the first coal sample product; determine the coal quantity of the first coal sample product based on the initial coal quantity, the warehouse entry coal quantity and the warehouse exit coal quantity.

[0126] According to one embodiment of the present application, the second acquisition module 82 is used to: obtain the initial height of the first coal sample product in the candidate coal sample product bin before entering the bin; obtain the total coal quantity and total coal height of the candidate coal sample product bin, obtain a first ratio between the first instantaneous coal quantity and the total coal quantity and a second ratio between the second instantaneous coal quantity and the total coal quantity; integrate the product of the first ratio and the total coal height at the entry start time and the entry end time to obtain the entry height of the first coal sample product; integrate the product of the second ratio and the total coal height at the exit start time and the exit end time to obtain the exit height of the first coal sample product; determine the coal height of the first coal sample product based on the initial height, the entry height and the exit height.

[0127] According to one embodiment of the present application, device 800 is used to: in response to the instantaneous amount of coal on the belt scale not being within a fixed value range and / or the number of scrapers entering the warehouse being multiple, input the first instantaneous coal amount, the second instantaneous coal amount, the scraper data and the level meter data into a pre-trained coal sample product height prediction model to obtain a target height of the first coal sample product; and use the target height as the coal height of the first coal sample product.

[0128] According to one embodiment of the present application, the coal blending module 84 is used to: obtain a first benchmark coal blending quantity of the bottom i layer in the benchmark coal sample product bin according to the stratification data; in response to the first benchmark coal blending quantity not meeting the target coal quantity, obtain a supplementary coal blending quantity of the bottom i layer in the first coal sample product bin according to the stratification data, the target coal quality, the target coal quantity and the first benchmark coal blending quantity; determine a current total coal blending quantity according to the first benchmark coal blending quantity and the supplementary coal blending quantity; in response to the current total coal blending quantity including the coal quantity corresponding to the bottom i layer in all candidate coal sample product bins, and the current total coal blending quantity not meeting the target coal quantity, continue to obtain a second benchmark coal blending quantity of the i+1th layer in the benchmark coal sample product bin according to the stratification data, update the current total coal blending quantity based on the second benchmark coal blending quantity, and repeat the above steps until the total coal blending quantity meets the target coal quantity, thereby obtaining the benchmark coal blending quantity corresponding to each layer in the benchmark coal sample product bin and the supplementary coal blending quantity corresponding to each layer in the first coal sample product bin.

[0129] According to one embodiment of the present application, a determination module 86 is used to: determine the coal quality difference value of the candidate coal blending schemes based on the target coal quality and the candidate coal quality, and determine the coal quantity difference value of the candidate coal blending schemes based on the target coal quantity and the candidate coal quantity; determine the target coal blending scheme from the candidate coal blending schemes based on the coal quality difference value and the coal quantity difference value.

[0130] According to one embodiment of the present application, device 800 is used to: determine the coal feeder control parameters corresponding to the candidate coal sample product bin based on the target coal blending scheme and the coal feeder attribute parameters, wherein the control parameters include the number of coal feeder starts and stops, the start and stop frequency, and the start and stop time.

[0131] The coal blending device proposed in the present application obtains the target coal quality and target coal quantity of the target coal sample product required by the loading station, obtains the warehouse entry data and warehouse exit data of the coal sample product, and stratifies the coal sample products entering the candidate coal sample product warehouse according to the warehouse entry data and warehouse exit data, and obtains the stratification data of the first coal sample product corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height, sorts the candidate coal sample product warehouses, obtains the candidate coal sample product warehouse sequence, takes the nth candidate coal sample product warehouse in the candidate coal sample product warehouse sequence as the benchmark coal sample product warehouse, and starts from the bottom i layer in the benchmark coal sample product warehouse, obtains the benchmark coal blending quantity of each layer in each benchmark coal sample product warehouse and the first coal sample product corresponding to each layer except the benchmark coal sample product warehouse according to the target coal quality, target coal quantity and stratification data. The supplementary coal blending amount of each layer in the candidate coal sample product bin, based on the benchmark coal blending amount and the supplementary coal blending amount, constructs a coal blending plan corresponding to each benchmark coal sample product bin, takes the coal blending plan corresponding to each benchmark coal sample product bin as a candidate coal blending plan, obtains the candidate coal quality and candidate coal quantity corresponding to the candidate coal blending plan, and determines the target coal blending plan from the candidate coal blending plans according to the candidate coal quality and target coal quality as well as the candidate coal quantity and target coal quantity. Therefore, the present application obtains the stratification data of the coal sample product bin, determines the candidate coal blending plan according to the required target coal quality, target coal quantity and stratification data, and determines the optimal target coal blending plan from the candidate coal blending plans, thereby improving the accuracy and efficiency of obtaining the coal blending plan, and based on the target coal blending plan, it can avoid heat waste or non-compliance with the requirements to the greatest extent.

[0132] To achieve the above embodiments, the present application also provides an electronic device, a computer-readable storage medium and a computer program product.

[0133] Fig. 9 A block diagram of an electronic device according to an embodiment of the present application, such as Fig. 9 As shown, the device 1000 includes a memory 101, a processor 102, and a computer program stored in the memory 101 and executable on the processor 102. When the processor 102 executes the program instructions, the execution is realized. Figures 1 to 6 Embodiment of coal blending method.

[0134] In order to implement the above embodiments, the present application also provides a non-transitory computer-readable storage medium storing computer instructions, the computer instructions are used to enable the computer to execute Figures 1 to 6 A coal blending method according to an embodiment of the present invention.

[0135] In order to implement the above embodiment, the present application also provides a computer program product. When the instruction processor in the computer program product executes, Figures 1 to 6 A coal blending method according to an embodiment of the present invention.

[0136] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0137] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0138] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0139] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0140] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0141] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0142] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0143] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A coal blending method, characterized in that: The method comprises: Obtain the target coal quality and target coal quantity of the target coal sample product required by the loading station; Obtaining the warehouse entry data and warehouse exit data of the coal sample product, stratifying the coal sample products entering the candidate coal sample product warehouse according to the warehouse entry data and the warehouse exit data, and obtaining the stratified data of the first coal sample product corresponding to each layer in the candidate coal sample product warehouse, wherein the stratified data includes coal quality, coal quantity and coal height; Sorting the candidate coal sample product bins to obtain a candidate coal sample product bin sequence, and taking the nth candidate coal sample product bin in the candidate coal sample product bin sequence as a reference coal sample product bin, wherein n is a natural number; Starting from the bottom i layer in the reference coal sample product bin, according to the target coal quality, the target coal quantity and the stratification data, obtain the reference coal blending quantity of each layer in each reference coal sample product bin and the supplementary coal blending quantity of each layer in the first candidate coal sample product bin except the reference coal sample product bin, wherein i is a natural number; Based on the reference coal blending amount and the supplementary coal blending amount, construct a coal blending scheme corresponding to each reference coal sample product bin, and use the coal blending scheme corresponding to each reference coal sample product bin as a candidate coal blending scheme; Obtaining candidate coal qualities and candidate coal quantities corresponding to the candidate coal blending schemes, and determining a target coal blending scheme from the candidate coal blending schemes according to the candidate coal qualities and the target coal qualities as well as the candidate coal quantities and the target coal quantities; The step of stratifying the coal sample products entering the candidate coal sample product bin according to the bin entry data and the bin exit data, and obtaining the coal quality of the first coal sample products corresponding to each layer in the candidate coal sample product bin includes: Obtaining coal quality data of the coal sample product collected by an ash content meter during the storage process of the coal sample product, wherein the coal quality data includes ash content data, moisture content data and calorific value data; Classifying the coal sample products according to the ash data of the coal sample products, and determining the first coal sample product within the same ash data interval; determining the coal quality of the first coal sample product from the coal quality data of the coal sample product; The step of stratifying the coal sample products entering the candidate coal sample product bin according to the bin entry data and the bin exit data, and obtaining the coal quantity of the first coal sample product corresponding to each layer in the candidate coal sample product bin includes: Obtaining the initial coal quantity of the first coal sample product in the candidate coal sample product bin before entering the bin; Obtain the entry start time, entry end time, exit start time and exit end time of the first coal sample product within the same ash content data interval; At the warehouse entry start time and the warehouse entry end time, the first instantaneous coal quantity of the warehouse entry belt scale is integrated to obtain the warehouse entry coal quantity of the first coal sample product; At the outgoing start time and the outgoing end time, the second instantaneous coal quantity of the loading belt scale is integrated to obtain the outgoing coal quantity of the first coal sample product; Determining the coal quantity of the first coal sample product according to the initial coal quantity, the coal quantity entering the warehouse and the coal quantity leaving the warehouse; The step of stratifying the coal sample products entering the candidate coal sample product bin according to the bin entry data and the bin exit data, and obtaining the coal height of the first coal sample product corresponding to each layer in the candidate coal sample product bin, comprises: Obtaining the initial height of the first coal sample product in the candidate coal sample product bin before entering the bin; Obtaining the total coal quantity and total coal height of the candidate coal sample product bin, obtaining a first ratio between the first instantaneous coal quantity and the total coal quantity and a second ratio between the second instantaneous coal quantity and the total coal quantity; At the warehouse entry start time and the warehouse entry end time, integrating the product of the first ratio and the total coal height to obtain the warehouse entry height of the first coal sample product; At the warehouse exit start time and warehouse exit end time, integrating the product of the second ratio and the total coal height to obtain the warehouse exit height of the first coal sample product; The coal height of the first coal sample product is determined according to the initial height, the entry height and the exit height.

2. The method according to claim 1, characterized in that The method further comprises: In response to the instantaneous amount of coal on the belt scale not being within a fixed value range and / or the number of scrapers entering the warehouse being multiple, the first instantaneous amount of coal, the second instantaneous amount of coal, the scraper data and the level meter data are input into a pre-trained coal sample product height prediction model to obtain a target height of the first coal sample product; The target height is used as the coal height of the first coal sample product.

3. The method according to claim 1, characterized in that The step of obtaining the reference coal blending amount of each layer in each reference coal sample product bin and the supplementary coal blending amount of each layer in the first candidate coal sample product bin other than the reference coal sample product bin according to the target coal quality, the target coal amount and the stratification data further includes: According to the stratified data, a first reference coal blending amount of the bottom layer i in the reference coal sample product bin is obtained; In response to the first reference coal blending amount not meeting the target coal amount, obtaining a supplementary coal blending amount of the bottom layer i in the first coal sample product bin according to the stratification data, the target coal quality, the target coal amount and the first reference coal blending amount; Determining a current total coal blending amount according to the first reference coal blending amount and the supplementary coal blending amount; In response to the fact that the current total coal blending quantity includes the coal quantity corresponding to the bottom i layer in all candidate coal sample product bins, and the current total coal blending quantity does not meet the target coal quantity, continue to obtain the second benchmark coal blending quantity of the i+1th layer in the benchmark coal sample product bin based on the stratification data, update the current total coal blending quantity based on the second benchmark coal blending quantity, and repeat the above steps until the total coal blending quantity meets the target coal quantity, so as to obtain the benchmark coal blending quantity corresponding to each layer in the benchmark coal sample product bin and the supplementary coal blending quantity corresponding to each layer in the first coal sample product bin.

4. The method according to claim 1, characterized in that: The step of determining a target coal blending scheme from the candidate coal blending schemes according to the candidate coal quality and the target coal quality and the candidate coal quantity and the target coal quantity further includes: Determine the coal quality difference value of the candidate coal blending scheme according to the target coal quality and the candidate coal quality, and determine the coal quantity difference value of the candidate coal blending scheme according to the target coal quantity and the candidate coal quantity; A target coal blending scheme is determined from the candidate coal blending schemes according to the coal quality difference value and the coal quantity difference value.

5. The method according to any one of claims 1 to 4, characterized in that After determining the target coal blending scheme, the method further includes: Based on the target coal blending scheme and the coal feeder attribute parameters, the coal feeder control parameters corresponding to the candidate coal sample product bin are determined, wherein the control parameters include the number of coal feeders started and stopped, the start and stop frequency, and the start and stop time.

6. A coal blending device, characterized in that: The device comprises: The first acquisition module is used to obtain the target coal quality and target coal quantity of the target coal sample product required by the loading station; A stratification module is used to obtain the warehouse entry data and warehouse exit data of the coal sample product, and stratify the coal sample products entering the candidate coal sample product warehouse according to the warehouse entry data and the warehouse exit data, and obtain the stratification data of the first coal sample product corresponding to each layer in the candidate coal sample product warehouse, wherein the stratification data includes coal quality, coal quantity and coal height; A second acquisition module is used to sort the candidate coal sample product bins to obtain a candidate coal sample product bin sequence, and use the nth candidate coal sample product bin in the candidate coal sample product bin sequence as a reference coal sample product bin, wherein n is a natural number; A coal blending module is used to obtain, starting from the bottom i layer in the reference coal sample product bin, the reference coal blending amount of each layer in each reference coal sample product bin and the supplementary coal blending amount of each layer in the first candidate coal sample product bin other than the reference coal sample product bin according to the target coal quality, the target coal amount and the stratification data, wherein i is a natural number; A third acquisition module is used to construct a coal blending scheme corresponding to each benchmark coal sample product bin based on the benchmark coal blending amount and the supplementary coal blending amount, and use the coal blending scheme corresponding to each benchmark coal sample product bin as a candidate coal blending scheme; a determination module, configured to obtain candidate coal qualities and candidate coal quantities corresponding to the candidate coal blending schemes, and determine a target coal blending scheme from the candidate coal blending schemes according to the candidate coal qualities and the target coal qualities as well as the candidate coal quantities and the target coal quantities; The step of stratifying the coal sample products entering the candidate coal sample product bin according to the bin entry data and the bin exit data, and obtaining the coal quality of the first coal sample products corresponding to each layer in the candidate coal sample product bin includes: Obtaining coal quality data of the coal sample product collected by an ash content meter during the storage process of the coal sample product, wherein the coal quality data includes ash content data, moisture content data and calorific value data; Classifying the coal sample products according to the ash data of the coal sample products, and determining the first coal sample product within the same ash data interval; determining the coal quality of the first coal sample product from the coal quality data of the coal sample product; The step of stratifying the coal sample products entering the candidate coal sample product bin according to the bin entry data and the bin exit data, and obtaining the coal quantity of the first coal sample product corresponding to each layer in the candidate coal sample product bin includes: Obtaining the initial coal quantity of the first coal sample product in the candidate coal sample product bin before entering the bin; Obtain the entry start time, entry end time, exit start time and exit end time of the first coal sample product within the same ash content data interval; At the warehouse entry start time and the warehouse entry end time, the first instantaneous coal quantity of the warehouse entry belt scale is integrated to obtain the warehouse entry coal quantity of the first coal sample product; At the outgoing start time and the outgoing end time, the second instantaneous coal quantity of the loading belt scale is integrated to obtain the outgoing coal quantity of the first coal sample product; Determining the coal quantity of the first coal sample product according to the initial coal quantity, the coal quantity entering the warehouse and the coal quantity leaving the warehouse; The step of stratifying the coal sample products entering the candidate coal sample product bin according to the bin entry data and the bin exit data, and obtaining the coal height of the first coal sample product corresponding to each layer in the candidate coal sample product bin, comprises: Obtaining the initial height of the first coal sample product in the candidate coal sample product bin before entering the bin; Obtaining the total coal quantity and total coal height of the candidate coal sample product bin, obtaining a first ratio between the first instantaneous coal quantity and the total coal quantity and a second ratio between the second instantaneous coal quantity and the total coal quantity; At the warehouse entry start time and the warehouse entry end time, integrating the product of the first ratio and the total coal height to obtain the warehouse entry height of the first coal sample product; At the warehouse exit start time and warehouse exit end time, integrating the product of the second ratio and the total coal height to obtain the warehouse exit height of the first coal sample product; The coal height of the first coal sample product is determined according to the initial height, the entry height and the exit height.

7. An electronic device, characterized in that: including a processor and a memory; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the method according to any one of claims 1 to 5.

Images