A coal stacking and taking tracking method and device based on euro bin and electronic equipment

Abstract

The application relates to a coal stacking and taking tracking method and device based on a euro bin and electronic equipment. The specific scheme is as follows: the change amount of the coal amount entering the bin, the change amount of the coal amount leaving the bin, and the change data of the material level height of the euro bin in a first preset time period are acquired respectively, and the change amount of the coal amount entering the furnace in a second preset time period is acquired; the first average coal storage density is determined based on the change amount of the coal amount entering the bin, the change amount of the coal amount leaving the bin and the change data of the material level height; the second average coal storage density is determined based on the change amount of the coal amount entering the bin, the change amount of the coal amount entering the furnace and the change data of the material level height; the comprehensive average coal storage density is determined based on the first average coal storage density, the second average coal storage density, the first preset weight value of the first average coal storage density and the second preset weight value of the second average coal storage density; and the coal storage quality at the end point moment of the first preset time period is determined based on the comprehensive average coal storage density and the change data of the material level height. The application improves the accuracy of the coal stacking of the euro bin.

Description

Technical Field

[0001] This application relates to the field of coal-fired power generation technology, and in particular to a coal stacking and reclaiming tracking method, device and electronic equipment based on a Euro-type coal bin. Background Technology

[0002] In related technologies, the Euro warehouse is a material storage facility with a small footprint, good airtightness, and excellent environmental performance. It is primarily used for grain storage worldwide and is also applied to coal storage in coal-fired power plants. When storing multiple types of coal in a Euro warehouse, it can be approximated as layered storage. For multi-layered coal storage, the coal inventory in the Euro warehouse directly determines the understanding of the layered coal storage within the warehouse. However, the accuracy of the Euro warehouse inventory is directly related to its own electronic weighing scale. The accuracy of the weighing scale needs to be calibrated regularly. As the storage time and coal height increase, the weighing accuracy of the electronic scale gradually decreases, leading to inaccurate inventory results. Summary of the Invention

[0003] Therefore, this application provides a coal stacking and reclaiming tracking method, device, and electronic equipment based on a Euro warehouse. The technical solution of this application is as follows:

[0004] According to a first aspect of the embodiments of this application, a coal stacking and reclaiming tracking method based on a Euro warehouse is provided, the method comprising:

[0005] The data on changes in coal inflow, coal outflow, and material level in the Euro warehouse are obtained within a first preset time period, and the data on changes in coal input to the furnace are obtained within a second preset time period; wherein, the second preset time period is later than the first preset time period.

[0006] The first average coal storage density is determined based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level.

[0007] Based on the changes in the amount of coal entering the warehouse, the amount of coal entering the furnace, and the changes in the material level, the second average coal storage density is determined.

[0008] Based on the first average coal storage density, the second average coal storage density, the first preset weight value of the first average coal storage density, and the second preset weight value of the second average coal storage density, the comprehensive average coal storage density is determined.

[0009] Based on the comprehensive average coal storage density and the material level change data, the coal storage quality at the end point of the first preset time period is determined.

[0010] According to one embodiment of this application, determining the first average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level height includes:

[0011] Based on the material level height change data, determine the amount of material level height change;

[0012] Subtract the change in the amount of coal leaving the warehouse from the change in the amount of coal entering the warehouse to obtain the first intermediate value;

[0013] The first average coal storage density is determined based on the first intermediate value, the radius of the Euro warehouse, and the change in the material level height.

[0014] According to one embodiment of this application, determining the second average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level height includes:

[0015] Based on the material level height change data, determine the amount of material level height change;

[0016] Subtract the change in the amount of coal leaving the warehouse from the change in the amount of coal entering the warehouse to obtain the second intermediate value;

[0017] The second average coal storage density is determined based on the second intermediate value, the radius of the Euro warehouse, and the change in the material level height.

[0018] According to one embodiment of this application, determining the comprehensive average coal storage density based on the first average coal storage density, the second average coal storage density, a first preset weight value of the first average coal storage density, and a second preset weight value of the second average coal storage density includes:

[0019] Multiply the first average coal storage density by the first preset weight value to obtain the third intermediate value;

[0020] Multiply the second average coal storage density by the second preset weight value to obtain the fourth intermediate value;

[0021] The third intermediate value and the fourth intermediate value are added together to obtain the comprehensive average coal storage density;

[0022] Wherein, the sum of the first preset weight value and the second preset weight value equals 1.

[0023] According to one embodiment of this application, determining the coal mass at the end of the first preset time period based on the comprehensive average coal density and the material level change data includes:

[0024] Based on the material level height change data, determine the material level height value at the end point of the first preset time period;

[0025] Based on the comprehensive average coal storage density, the radius of the Euro warehouse, and the material level height, the coal storage quality at the end of the first preset time period is determined.

[0026] According to a second aspect of the embodiments of this application, a coal stacking and reclaiming tracking device based on a Euro warehouse is provided, the device comprising:

[0027] The acquisition module is used to acquire data on the changes in coal inflow, coal outflow, and material level height of the Euro warehouse within a first preset time period, as well as the changes in coal input to the furnace within a second preset time period; wherein the second preset time period is later than the first preset time period.

[0028] The first determining module is used to determine the first average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level height.

[0029] The second determining module is used to determine the second average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal entering the furnace, and the changes in the material level height.

[0030] The third determining module is used to determine the comprehensive average coal storage density based on the first average coal storage density, the second average coal storage density, the first preset weight value of the first average coal storage density, and the second preset weight value of the second average coal storage density.

[0031] The fourth determining module is used to determine the coal mass at the end of the first preset time period based on the comprehensive average coal storage density and the material level change data.

[0032] According to one embodiment of this application, the first determining module includes:

[0033] The first determining submodule is used to determine the amount of change in material level height based on the material level height change data;

[0034] The subtraction submodule is used to subtract the change in the amount of coal discharged from the warehouse from the change in the amount of coal received from the warehouse to obtain a first intermediate value;

[0035] The second determining submodule is used to determine the first average coal storage density based on the first intermediate value, the radius of the Euro warehouse, and the change in the material level height.

[0036] According to a third aspect of the embodiments of this application, an electronic device is provided, including: a processor, and a memory communicatively connected to the processor;

[0037] The memory stores computer-executed instructions;

[0038] The processor executes computer execution instructions stored in the memory to implement the method as described in any one of the first aspects.

[0039] According to a fourth aspect of the embodiments of this application, a computer-readable storage medium is provided, wherein computer-executable instructions are stored therein, which, when executed by a processor, are used to implement the method as described in any one of the first aspects.

[0040] According to a fifth aspect of the embodiments of this application, a computer program product is provided, characterized in that it includes a computer program that, when executed by a processor, implements the method described in any one of the first aspects.

[0041] The technical solutions provided by the embodiments of this application have at least the following beneficial effects:

[0042] By acquiring data on changes in coal inflow, outflow, and material level in the Euro warehouse during a first preset time period, and changes in coal input to the furnace during a second preset time period; a first average coal storage density is determined based on these data; a second average coal storage density is determined based on these data; a comprehensive average coal storage density is determined based on the first average coal storage density, the second average coal storage density, a first preset weight value for the first average coal storage density, and a second preset weight value for the second average coal storage density; and the coal storage quality at the end of the first preset time period is determined based on the comprehensive average coal storage density and the material level change data. This improves the accuracy of coal inventory in the Euro warehouse.

[0043] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0044] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application, and do not constitute an undue limitation of this application.

[0045] Figure 1 This is a flowchart of a coal stacking and reclaiming tracking method based on a Euro warehouse, as described in an embodiment of this application.

[0046] Figure 2 This is a structural block diagram of a coal stacking and reclaiming tracking device based on a Euro warehouse, as described in an embodiment of this application.

[0047] Figure 3 This is a block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0048] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0049] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0050] It should be noted that, in related technologies, the Euro warehouse is a material storage facility with a small footprint, excellent airtightness, and good environmental performance. It is primarily used for grain storage worldwide and is also applied to coal storage in coal-fired power plants. When storing multiple types of coal in a Euro warehouse, it can be approximated as layered storage. For multi-layered coal storage, the coal inventory in the Euro warehouse directly determines the understanding of the layered coal storage within the warehouse. However, the accuracy of the Euro warehouse inventory is directly related to its own electronic weighing scale. The accuracy of the weighing scale needs to be calibrated regularly. As the storage time and coal height increase, the weighing accuracy of the electronic scale gradually decreases, leading to inaccurate inventory results.

[0051] To address the aforementioned issues, this application proposes a coal tracking method, device, and electronic equipment based on a Euro-type coal storage bin. This method enables the acquisition of data on changes in coal inflow, outflow, and material level within a first preset time period, and changes in coal input to the furnace within a second preset time period. Based on these data, a first average coal storage density is determined; a second average coal storage density is determined; a comprehensive average coal storage density is determined based on the first average coal storage density, the second average coal storage density, a first preset weight value for the first average coal storage density, and a second preset weight value for the second average coal storage density; and the coal storage quality at the end of the first preset time period is determined based on the comprehensive average coal storage density and the material level change data. This achieves accurate and rapid coal inventory in the Euro-type coal storage bin, improving the accuracy of coal inventory checks. Furthermore, it requires no additional hardware, resulting in low investment and maintenance costs, significantly improving the economic efficiency of power plant coal storage management. It is easy to implement and highly practical.

[0052] Figure 1 This is a flowchart of a coal stacking and reclaiming tracking method based on a Euro warehouse, as described in an embodiment of this application.

[0053] like Figure 1 As shown, the coal stacking and reclaiming tracking method based on Euro warehouses includes:

[0054] Step 101: Obtain the changes in coal inflow, coal outflow, and material level in the Euro warehouse during the first preset time period, as well as the changes in coal input to the furnace during the second preset time period.

[0055] In this embodiment of the application, the second preset time period is later than the first preset time period.

[0056] It should be noted that the monitoring and recording system records real-time weighing data from the electronic scales for incoming coal, the electronic scale at the outlet of the coal storage bin, and the electronic scale for coal entering the furnace. The weighing data from the incoming coal scale corresponds to the amount of coal entering the coal storage bin (m1), the weighing data from the outlet of the coal storage bin corresponds to the amount of coal leaving the coal storage bin (m2), and the weighing data from the coal entering the furnace corresponds to the amount of coal entering the furnace (m3). Different coal bed heights result in varying degrees of compaction of the coal stored in the coal storage bin. When there is excessive coal storage, the accuracy of the weighing data from the outlet of the coal storage bin decreases. The distance from the outlet of the coal storage bin to the coal entering the furnace is recorded as 's', the conveyor belt speed is 'v', and the time 't' for the coal flow to travel from the outlet of the coal storage bin to the coal entering the furnace is recorded.

[0057] As an example of possible implementation, the weighing data of the electronic scale for coal entering the plant and the electronic scale for coal exiting the Euro warehouse are recorded during the time period [t1, t2] to obtain the change in the amount of coal entering the Euro warehouse Δm1 and the change in the amount of coal exiting the Euro warehouse Δm2, respectively. The weighing data of the electronic scale for coal entering the furnace during the time period [t1+t, t2+t] are collected and recorded to obtain the change in the amount of coal entering the furnace Δm3. The material level height h0 displayed by the material level gauge in the Euro warehouse at time t1 and the material level height h1 in the Euro warehouse at time t2 are collected and recorded.

[0058] Step 102: Determine the first average coal storage density based on the changes in coal entering the warehouse, the changes in coal leaving the warehouse, and the changes in material level.

[0059] In some embodiments of this application, step 102 includes:

[0060] Step a1: Determine the amount of change in material level height based on the material level height change data.

[0061] Step a2: Subtract the change in coal output from the change in coal input to obtain the first intermediate value.

[0062] Step a3: Determine the first average coal storage density based on the first intermediate value, the radius of the Euro warehouse, and the change in material level height.

[0063] As a possible implementation example, using the changes in coal inflow Δm1 and coal outflow Δm2 in the Euro warehouse, the first average coal storage density ρ1 is calculated using the following formula:

[0064] ρ1=(Δm2-Δm1) / πR 2 (h0-h1)

[0065] Where R is the radius of the Eurozone.

[0066] Step 103: Determine the second average coal storage density based on the data of changes in coal quantity entering the warehouse, changes in coal quantity entering the furnace, and changes in material level.

[0067] In some embodiments of this application, step 103 includes:

[0068] Step b1: Determine the amount of change in material level height based on the material level height change data.

[0069] Step b2: Subtract the change in coal output from the change in coal input to obtain the second intermediate value.

[0070] Step b3: Determine the second average coal storage density based on the second intermediate value, the radius of the Euro warehouse, and the change in material level height.

[0071] As a possible implementation example, the second average coal storage density ρ2 is calculated using the changes in coal quantity entering the Euro warehouse (Δm1) and the changes in coal quantity entering the furnace (Δm3) through the following formula:

[0072] ρ2=(Δm3-Δm1) / πR 2 (h0-h1)

[0073] Where R is the radius of the Eurozone.

[0074] Step 104: Determine the comprehensive average coal storage density based on the first average coal storage density, the second average coal storage density, the first preset weight value of the first average coal storage density, and the second preset weight value of the second average coal storage density.

[0075] In some embodiments of this application, step 104 includes:

[0076] Step c1: Multiply the first average coal storage density by the first preset weight value to obtain the third intermediate value.

[0077] Step c2: Multiply the second average coal storage density by the second preset weight value to obtain the fourth intermediate value.

[0078] Step c3: Add the third intermediate value and the fourth intermediate value to obtain the comprehensive average coal storage density.

[0079] In this embodiment of the application, the first preset weight value and the second preset weight value are added together to equal 1.

[0080] As a possible example of implementation, the overall average coal storage density ρ can be calculated using the following formula:

[0081] ρ=ω1ρ1+ω2ρ2

[0082] ω1+ω2=1

[0083] Among them, the first preset weight value of ρ1 is ω1, and the second preset weight value of ρ2 is ω2.

[0084] Optionally, ω1 = 0.5, ω2 = 0.5, and the values ​​of ω1 and ω2 can be preset according to actual needs.

[0085] Step 105: Based on the comprehensive average coal storage density and material level change data, determine the coal storage quality at the end point of the first preset time period.

[0086] In some embodiments of this application, step 105 includes:

[0087] Step d1: Based on the material level height change data, determine the material level height value at the end of the first preset time period.

[0088] Step d2: Based on the comprehensive average coal storage density, Euro bin radius, and material level height, determine the coal storage quality at the end of the first preset time period.

[0089] As a possible implementation example, the coal mass m at the end of the first preset time period can be calculated using the following formula:

[0090] m=πR 2 h1ρ

[0091] Where h1 is the material level height of the Euro bin at time t2, R is the radius of the Euro bin, and ρ is the comprehensive average coal storage density.

[0092] According to the coal tracking method based on the Euro warehouse in this application, the following steps are taken: First, the changes in the amount of coal entering and leaving the Euro warehouse, and the changes in the material level height are acquired within a first preset time period. Second, the changes in the amount of coal fed into the furnace are acquired within a second preset time period. Third, a first average coal storage density is determined based on these data. Fourth, a second average coal storage density is determined based on these data. Fifth, a comprehensive average coal storage density is determined based on the first average coal storage density, the second average coal storage density, a first preset weight value for the first average coal storage density, and a second preset weight value for the second average coal storage density. Finally, the coal storage quality at the end of the first preset time period is determined based on the comprehensive average coal storage density and the material level height change data. This method achieves accurate and rapid inventory of coal in the Euro warehouse, improves the accuracy of coal inventory, requires no additional hardware, has low investment and maintenance costs, significantly improves the economic benefits of power plant coal storage management, is easy to implement, and is highly practical.

[0093] Figure 2 This is a structural block diagram of a coal stacking and reclaiming tracking device based on a Euro warehouse, as described in an embodiment of this application.

[0094] like Figure 2 As shown, the Euro-based coal stacking and reclaiming tracking device includes:

[0095] The acquisition module 201 is used to acquire the changes in the amount of coal entering the warehouse, the amount of coal leaving the warehouse, and the changes in the material level height of the warehouse within a first preset time period, as well as the changes in the amount of coal entering the furnace within a second preset time period.

[0096] In this embodiment of the application, the second preset time period is later than the first preset time period;

[0097] The first determining module 202 is used to determine the first average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level height.

[0098] The second determining module 203 is used to determine the second average coal storage density based on the data of changes in coal quantity entering the warehouse, changes in coal quantity entering the furnace, and changes in material level height.

[0099] The third determining module 204 is used to determine the comprehensive average coal storage density based on the first average coal storage density, the second average coal storage density, the first preset weight value of the first average coal storage density, and the second preset weight value of the second average coal storage density.

[0100] The fourth determining module 205 is used to determine the coal quality at the end of the first preset time period based on the comprehensive average coal density and material level change data.

[0101] In some instances of this application, the first determining module 202 includes:

[0102] The first determining submodule is used to determine the amount of change in material level height based on the material level height change data;

[0103] The subtraction submodule is used to subtract the change in coal output from the change in coal input to obtain the first intermediate value;

[0104] The second determining submodule is used to determine the first average coal storage density based on the first intermediate value, the radius of the Euro warehouse, and the change in material level height.

[0105] According to the coal tracking device based on the Euro warehouse according to the embodiments of this application, the device acquires data on changes in the amount of coal entering and leaving the Euro warehouse, changes in coal level, and changes in coal input to the furnace within a first preset time period, and changes in coal input to the furnace within a second preset time period. Based on these data, a first average coal storage density is determined; a second average coal storage density is determined; a comprehensive average coal storage density is determined based on the first average coal storage density, the second average coal storage density, a first preset weight value for the first average coal storage density, and a second preset weight value for the second average coal storage density; and the coal storage quality at the end of the first preset time period is determined based on the comprehensive average coal storage density and the changes in coal level. This achieves accurate and rapid inventory of coal in the Euro warehouse, improves the accuracy of coal inventory, requires no additional hardware, has low investment and maintenance costs, significantly improves the economic benefits of power plant coal storage management, is easy to implement, and is highly practical.

[0106] Figure 3 This is a block diagram of an electronic device according to an embodiment of this application. For example... Figure 3 As shown, the electronic device may include: a transceiver 31, a processor 32, and a memory 33.

[0107] Processor 32 executes computer execution instructions stored in memory, causing processor 32 to perform the scheme in the above embodiments. Processor 32 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0108] The memory 33 is connected to the processor 32 via the system bus and completes communication between them. The memory 33 is used to store computer program instructions.

[0109] Transceiver 31 can be used to obtain the task to be run and its configuration information.

[0110] The system bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. Transceivers are used to enable communication between database access devices and other computers (e.g., clients, read-write libraries, and read-only libraries). Memory may include random access memory (RAM) and may also include non-volatile memory.

[0111] The electronic device provided in this application embodiment can be the terminal device described in the above embodiments.

[0112] This application also provides a chip for executing instructions, which is used to execute the message processing method described in the above embodiments.

[0113] This application also provides a computer-readable storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the message processing method described in the above embodiments.

[0114] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and when the at least one processor executes the computer program, it can implement the technical solution of the message processing method in the above embodiments.

[0115] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0116] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A coal stacking and reclaiming tracking method based on Euro warehouses, characterized in that, The method includes: The data on changes in coal inflow, coal outflow, and material level in the Euro warehouse are obtained within a first preset time period, and the data on changes in coal input to the furnace are obtained within a second preset time period; wherein, the second preset time period is later than the first preset time period. The first average coal storage density is determined based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level. Based on the changes in the amount of coal entering the warehouse, the amount of coal entering the furnace, and the changes in the material level, the second average coal storage density is determined. Based on the first average coal storage density, the second average coal storage density, the first preset weight value of the first average coal storage density, and the second preset weight value of the second average coal storage density, the comprehensive average coal storage density is determined. Based on the comprehensive average coal storage density and the material level change data, the coal storage quality at the end point of the first preset time period is determined. The step of determining the first average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level includes: Based on the material level height change data, determine the amount of material level height change; Subtract the change in the amount of coal leaving the warehouse from the change in the amount of coal entering the warehouse to obtain the first intermediate value; The first average coal storage density is determined based on the first intermediate value, the radius of the Euro warehouse, and the change in the material level height. The step of determining the second average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level includes: Based on the material level height change data, determine the amount of material level height change; Subtract the change in the amount of coal leaving the warehouse from the change in the amount of coal entering the warehouse to obtain the second intermediate value; The second average coal storage density is determined based on the second intermediate value, the radius of the Euro warehouse, and the change in the material level height. The step of determining the comprehensive average coal storage density based on the first average coal storage density, the second average coal storage density, a first preset weight value for the first average coal storage density, and a second preset weight value for the second average coal storage density includes: Multiply the first average coal storage density by the first preset weight value to obtain the third intermediate value; Multiply the second average coal storage density by the second preset weight value to obtain the fourth intermediate value; The third intermediate value and the fourth intermediate value are added together to obtain the comprehensive average coal storage density; Wherein, the sum of the first preset weight value and the second preset weight value equals 1; The step of determining the coal mass at the end of the first preset time period based on the comprehensive average coal density and the material level change data includes: Based on the material level height change data, determine the material level height value at the end point of the first preset time period; Based on the comprehensive average coal storage density, the radius of the Euro warehouse, and the material level height, the coal storage quality at the end of the first preset time period is determined.

2. A coal stacking and reclaiming tracking device based on a Euro warehouse, characterized in that, The apparatus, applied to the method of claim 1, comprises: The acquisition module is used to acquire data on the changes in coal inflow, coal outflow, and material level height of the Euro warehouse within a first preset time period, as well as the changes in coal input to the furnace within a second preset time period; wherein the second preset time period is later than the first preset time period. The first determining module is used to determine the first average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal leaving the warehouse, and the changes in the material level height. The second determining module is used to determine the second average coal storage density based on the changes in the amount of coal entering the warehouse, the changes in the amount of coal entering the furnace, and the changes in the material level height. The third determining module is used to determine the comprehensive average coal storage density based on the first average coal storage density, the second average coal storage density, the first preset weight value of the first average coal storage density, and the second preset weight value of the second average coal storage density. The fourth determining module is used to determine the coal mass at the end of the first preset time period based on the comprehensive average coal storage density and the material level change data.

3. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in claim 1.

4. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in claim 1.

5. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of claim 1.

Images