Online coal feeding system and method for performance testing of belt samplers

Abstract

This disclosure provides an online coal feeding system and method for performance testing of belt samplers. Through automated control and real-time adjustment mechanisms, it achieves precise coal sample supply without stopping the conveyor belt, thus avoiding the frequent start-stop problems and associated safety hazards and equipment wear caused by traditional manual sampling methods that involve stopping the conveyor belt. Specifically, the system uses an input module to receive and process the operating parameters of the coal conveying system and the performance parameters of the belt sampler. The information processing, calculation, and instruction generation module dynamically adjusts the size of the quantitative sample storage cells based on these parameters, ensuring the accuracy of the amount of coal sample falling onto the conveyor belt each time. This method not only improves the accuracy and efficiency of sampling but also significantly shortens the testing cycle, enhances operational safety and convenience, makes the entire sampling process more efficient and reliable, greatly reduces the need for human intervention, and significantly improves the overall level of fuel management in thermal power plants.

Description

Technical Field

[0001] This invention relates to the field of performance testing technology for coal-fired mechanical sampling equipment, specifically to an online coal feeding system and method for performance testing of belt samplers. Background Technology

[0002] To improve the fuel management level and production efficiency of thermal power plants and avoid human intervention, the quality acceptance of coal in thermal power plants has basically achieved mechanized sampling. That is, sampling equipment is used to take samples of coal entering the plant or furnace on the coal conveyor belt, and then the representative coal samples are prepared and tested.

[0003] The sampling process accounts for about 80% of the total variance in the entire sampling and preparation process. Therefore, the performance of the sampling equipment directly determines the accuracy of the coal quality indicators, and whether its performance parameters meet the requirements is a key factor in ensuring the representativeness of the sampling.

[0004] According to GB / T19494.3 standard, sampling equipment must undergo bias testing every two years. The testing items include precision verification and bias testing. The bias test method specified in the standard compares the samples taken by the sampling equipment with those taken manually when the conveyor belt is stopped. However, manual sampling requires frequent starting and stopping of the coal conveyor belt, which has adverse effects on equipment failure rate, operational safety, and test cycle.

[0005] Therefore, there is a need for a system and method that can achieve online coal feeding without manually stopping the conveyor belt. Summary of the Invention

[0006] A first aspect of this disclosure provides an online coal feeding system for performance testing of a belt sampler, the system comprising:

[0007] A coal storage device, equipped with an inlet and an outlet, is used to store coal samples for performance testing;

[0008] The quantitative sample storage cell is connected to the coal storage device via a valve switch. Its inlet is connected to the outlet of the coal storage device, and its outlet forms an adjustable coal drop outlet, which is directly opposite the coal conveyor belt.

[0009] The input module is used to receive user input of coal conveying operation parameters and belt sampler performance parameters;

[0010] The processing module is communicatively connected to the input module and has a built-in data processing chip for calculating and generating control commands based on the parameters input by the user.

[0011] The instruction execution module includes a signal transmission unit and a coal feeding unit at the coal chute, and is used to receive and execute the control instructions to adjust the opening size of the coal chute.

[0012] The system startup module is used to start the automatic coal feeding process according to the set cycle and coal quantity parameters.

[0013] In conjunction with the first aspect, the parameters received by the input module include: coal conveying capacity C and belt width W. b Maximum coal flow depth D, sampler speed ν s The sampling period t of the belt sampler.

[0014] In conjunction with the first aspect, the processing module calculates the coal flow length using the following formula:

[0015]

[0016] Where C is the coal conveying volume, ν s For the speed of the belt sampler, W b This refers to the width of the coal flow in the conveyor belt.

[0017] In conjunction with the first aspect, the valve switching device includes a first valve controlling the coal sample delivery from the coal storage device to the quantitative sample storage cell, and a second valve controlling the opening and closing of the coal drop outlet from the quantitative sample storage cell to the coal conveyor belt.

[0018] A second aspect of this disclosure provides an online coal feeding method for performance testing of a belt sampler, comprising the following steps:

[0019] Collect coal conveying volume C and belt width W b Maximum coal flow depth D, sampler speed ν s 1. Calculate the coal flow length L based on the sampling period t of the belt sampler;

[0020] According to the belt width W b Adjust the physical dimensions of the quantitative sample storage cell by adjusting the maximum coal flow depth D and coal flow length L;

[0021] Close the outlet of the quantitative sample storage cell, open the outlet of the coal storage device, and input the coal sample into the quantitative sample storage cell;

[0022] Open the coal inlet of the quantitative sample storage cell and release the stored coal sample onto the coal conveyor belt. The belt sampler then collects the coal sample on the conveyor belt.

[0023] In conjunction with the second aspect, the statement based on the belt width W b The physical dimensions of the quantitative sample storage cell are adjusted based on the maximum coal flow depth D and coal flow length L, including:

[0024] Lateral adjustment ΔL = ±0.05L, longitudinal adjustment ΔW = ±0.1W b The height adjustment amount ΔH = ±0.15D.

[0025] In conjunction with the second aspect, the method for determining the sampling period t of the sampler includes:

[0026] t≥(single sampling mechanical action time + safety margin time)×1.2, where the safety margin time is not less than 30 seconds.

[0027] In conjunction with the second aspect, the method further includes:

[0028] After collecting 40 sets of coal samples, the quantitative sample storage cells are weighed and calibrated. If the calibration error exceeds ±0.5%, the size compensation is automatically adjusted.

[0029] A third aspect of this disclosure provides an electronic device comprising:

[0030] One or more processors;

[0031] A storage unit is used to store one or more programs that, when executed by one or more processors, enable the one or more processors to implement the online coal feeding system applied to the performance test of the belt sampler.

[0032] A fourth aspect of this disclosure provides a computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, enables the online coal feeding system applied to the performance test of a belt sampler.

[0033] Beneficial Effects: This invention provides an online coal feeding system and method for performance testing of belt samplers. Through automated control and real-time adjustment mechanisms, it achieves precise coal sample supply without stopping the conveyor belt, thus avoiding the frequent start-stop problems and associated safety hazards and equipment wear caused by traditional manual sampling methods that require stopping the conveyor belt. Specifically, the system uses an input module to receive and process the operating parameters of the coal conveying system and the performance parameters of the belt sampler. The information processing, calculation, and instruction generation module dynamically adjusts the size of the quantitative sample storage cells based on these parameters, ensuring the accuracy of the amount of coal sample falling onto the conveyor belt each time. This method not only improves the accuracy and efficiency of sampling but also significantly shortens the testing cycle, enhances operational safety and convenience, makes the entire sampling process more efficient and reliable, greatly reduces the need for human intervention, and significantly improves the overall level of fuel management in thermal power plants. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of an online coal feeding system used for performance testing of a belt sampler according to an embodiment of the present disclosure;

[0035] Figure 2 This is a schematic flowchart of an online coal feeding method for performance testing of a belt sampler according to an embodiment of the present disclosure;

[0036] Figure 3 An electronic device according to an embodiment of this disclosure. Detailed Implementation

[0037] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those disclosed herein.

[0038] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the present disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0039] It should be understood that although the terms first, second, third, etc., may be used to describe various information in embodiments of this disclosure, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first information may also be referred to as second information without departing from the scope of embodiments of this disclosure, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0040] like Figure 1 The diagram shown is a structural schematic of an online coal feeding system applied to the performance testing of a belt sampler according to an embodiment of this disclosure, comprising:

[0041] The coal storage device 100 is equipped with an inlet 110 and an outlet 120 for storing coal samples for performance testing.

[0042] The quantitative sample storage cell 200 is connected to the coal storage device through a valve switch device. Its inlet 210 is connected to the outlet 120 of the coal storage device, and its outlet 220 forms an adjustable coal drop outlet, which is directly opposite the coal conveyor belt.

[0043] The input module 300 is used to receive user input of coal conveying operation parameters and belt sampler performance parameters.

[0044] The processing module 400 is communicatively connected to the input module and has a built-in data processing chip for calculating and generating control commands based on the parameters input by the user.

[0045] The instruction execution module 500 includes a signal transmission unit 510 and a coal feeding unit 520, which are used to receive and execute the control instructions to adjust the opening size of the coal feeding port.

[0046] The system startup module 600 is used to start the automatic coal feeding process according to the set cycle and coal quantity parameters.

[0047] Specifically, the coal storage device 100 is equipped with an inlet 110 and an outlet 120 for storing coal samples for performance testing and controlling the quantitative output of the coal samples.

[0048] The quantitative sample storage cell 200 is connected to the coal storage device through a valve switch device. Its inlet 210 is connected to the outlet 120 of the coal storage device, and its outlet 220 forms an adjustable coal drop outlet, which is directly aligned with the coal conveyor belt to ensure uniform distribution of coal samples.

[0049] The input module 300 provides a human-machine interface for receiving user input of coal conveying system operating parameters (such as coal conveying capacity, belt width, maximum coal flow depth, sampler speed, etc.) and belt sampler performance parameters (such as sampling cycle, processing capacity, etc.).

[0050] The processing module 400 is communicatively connected to the input module 300 and integrates a data processing chip. It performs calculations based on user-input parameters and generates control commands, such as calculating the coal flow length.

[0051] The instruction execution module 500 includes a signal transmission unit 510 and a coal feeding unit 520, which are used to receive instructions generated by the processing module 400 and perform corresponding operations, such as adjusting the size of the coal feeding port or controlling the amount of coal sample fed.

[0052] The system startup module 600 starts the online coal feeding process according to the set sampling period and coal quantity parameters, controls the quantitative release of coal samples, and realizes automated coal sample delivery.

[0053] Furthermore, the parameters received by the input module include: coal conveying capacity C, belt width W. b Maximum coal flow depth D, sampler speed ν s The sampling period t of the belt sampler.

[0054] Among them, the coal conveying rate C (t / h, tons per hour) represents the amount of coal transported by the coal conveying system per unit time and is an important parameter that determines the characteristics of the coal flow. Too large a coal conveying rate will lead to an increase in the thickness of the coal flow, affecting the uniformity of sampling; too small a rate may result in insufficient sampling data, affecting the accuracy of the experiment.

[0055] Belt width W b(m, meters) The belt width determines the lateral distribution of the coal flow and corresponds to the coal flow width. When adjusting the size of the quantitative sampling cell and the opening of the coal drop outlet, the belt width needs to be considered to ensure that the coal sample can uniformly cover the belt surface.

[0056] The maximum depth of the coal flow, D (m), directly affects the cutting effect of the sampler. If the coal flow is too thick, the sampler may not be able to fully capture the entire coal seam, leading to inaccurate sampling results. Therefore, when adjusting the opening of the coal inlet, it is essential to ensure that the coal flow depth does not exceed the set value.

[0057] Sampling speed ν s (m / s) The operating speed of the sampler determines the method of cutting the coal stream and the sample volume for each sampling. Higher sampler speeds require more precise control of the coal stream uniformity to ensure the representativeness of the sample. This parameter is used to calculate the coal stream length.

[0058] The sampling period t (seconds) of the belt sampler defines how often the sampler performs sampling. The system needs to calculate the amount of coal sample that needs to fall onto the conveyor belt within each sampling period based on this parameter, and adjust the coal drop rate at the coal inlet to ensure the uniformity and stability of the sampling.

[0059] Furthermore, the processing module calculates the coal flow length using the following formula:

[0060]

[0061] Where C is the coal conveying volume, ν s For the speed of the belt sampler, W b This refers to the width of the coal flow in the conveyor belt.

[0062] The valve switching device includes a first valve 230 that controls the coal sample delivery from the coal storage device to the quantitative sample storage cell, and a second valve 240 that controls the opening and closing of the coal drop outlet from the quantitative sample storage cell to the coal conveyor belt.

[0063] Specifically, the first valve 230 controls the process of the coal storage device 100 delivering coal samples to the quantitative sample storage cell 200.

[0064] When the quantitative sample storage cell needs to be replenished with coal samples, the first valve 230 opens, allowing the coal sample to enter the quantitative sample storage cell from the coal storage device.

[0065] When the quantitative sample storage cell reaches the set amount of coal, the first valve 230 closes to prevent excessive coal sample from being added, so as to maintain the accurate measurement characteristics of the quantitative sample storage cell.

[0066] The second valve 240 controls the process of coal samples falling from the quantitative sample storage cell 200 into the coal conveyor belt, ensuring that the coal sample delivery meets the test requirements.

[0067] When the system starts the online coal feeding process, the second valve 240 opens, allowing the coal sample to be evenly fed onto the coal conveyor belt through the coal drop port.

[0068] Once the set amount of coal sample is reached, the second valve 240 closes to prevent excessive coal sample addition and ensure the uniformity and representativeness of the coal sample in each sampling cycle.

[0069] In addition, valves can be equipped with vibration-assisted devices or arch-breaking devices to prevent coal samples from forming coal arches during storage or transportation, thus preventing them from affecting flow.

[0070] It can also be equipped with a status sensor to monitor whether the valve is opening / closing normally, and link with the control system to provide alarms or automatically adjust the valve status in abnormal situations.

[0071] like Figure 2 The diagram shown is a schematic flow chart of an online coal feeding method applied to the performance test of a belt sampler according to an embodiment of this disclosure, including:

[0072] S201: Collect coal conveying capacity C and belt width W b Maximum coal flow depth D, sampler speed ν s 1. Calculate the coal flow length L based on the sampling period t of the belt sampler;

[0073] S202: According to the belt width W b Adjust the physical dimensions of the quantitative sample storage cell by adjusting the maximum coal flow depth D and coal flow length L;

[0074] S203: Close the outlet of the quantitative sample storage cell, open the outlet of the coal storage device, and input the coal sample into the quantitative sample storage cell;

[0075] S204: Open the coal drop outlet of the quantitative sample storage cell to release the stored coal sample onto the coal conveyor belt. The belt sampler then collects the coal sample on the conveyor belt.

[0076] Among these measures, the opening size of the quantitative sampling cell was adjusted to match the coal flow pattern of the sampled coal with the actual coal flow distribution on the conveyor belt, thereby improving representativeness.

[0077] Lateral adjustment: according to W b Set the width of the coal drop opening to ensure that the coal sample distribution matches the width of the conveyor belt.

[0078] Vertical adjustment: Determine the coal sample accumulation depth based on D to avoid the coal seam being too thick or too thin, which would affect the sampling.

[0079] Flow rate adjustment: The coal sample delivery time is controlled according to L to synchronize it with the coal flow on the conveyor belt.

[0080] One measure is to close the outlet of the quantitative sample storage cell to prevent coal samples from falling into the conveyor belt prematurely.

[0081] Open the discharge port of the coal storage device and control the input of coal samples into the quantitative storage cell.

[0082] The coal sample is accurately measured based on the calculated coal conveying volume, and the discharge port of the coal storage device is closed after the set volume is reached.

[0083] Coal feed inlet adjustment: according to the belt width W b Adjust the opening of the coal drop hole according to the coal flow depth D to avoid uneven coal flow concentration or dispersion.

[0084] Quantitative delivery: Based on the calculation results and set parameters, control the timing and frequency of coal sample delivery to ensure synchronization with the belt conveyor operation.

[0085] Synchronous sampling: The belt sampler performs sampling according to the set sampling period t.

[0086] Sampling speed ν s Matching the coal conveying speed ensures that representative coal samples are obtained.

[0087] Furthermore, the lateral adjustment amount ΔL = ±0.05L, and the longitudinal adjustment amount ΔW = ±0.1W. b The height adjustment amount ΔH = ±0.15D.

[0088] The lateral adjustment amount is mainly used to adjust the front and rear lengths of the coal flow to ensure that the coverage area of ​​the coal sample on the conveyor belt is consistent with the calculated coal flow length.

[0089] The longitudinal adjustment amount is mainly used to adjust the lateral distribution of coal samples on the conveyor belt, ensuring that the width of the coal sample is as close as possible to the width of the conveyor belt, and avoiding coal sample concentration or uneven distribution.

[0090] The height adjustment is mainly used to adjust the maximum depth of the coal flow, ensuring that the coal seam thickness meets the test requirements and avoiding excessive thickness or thinness that could affect the sampling accuracy of the sampler.

[0091] Furthermore, the method for determining the sampling period t of the sampler includes:

[0092] t≥(single sampling mechanical action time + safety margin time)×1.2, where the safety margin time is not less than 30 seconds.

[0093] Single sampling mechanical action time: refers to the shortest time required for the sampler to complete one complete mechanical action, including the total time for the sampling head to move, intercept coal sample, transport coal sample and discharge.

[0094] Safety margin time: An extra time buffer is reserved to prevent the sampling process from being affected by mechanical fluctuations, changes in coal samples or other uncontrollable factors, to ensure sampling stability, and the safety margin time shall not be less than 30 seconds.

[0095] 1.2 times factor: To take into account the unexpected delays that the sampler may encounter during continuous operation (such as conveyor belt speed fluctuations, sampler reset time, etc.), and to further improve sampling stability.

[0096] Furthermore, the method also includes:

[0097] After collecting 40 sets of coal samples, the quantitative sample storage cells are weighed and calibrated. If the calibration error exceeds ±0.5%, the size compensation is automatically adjusted.

[0098] After collecting 40 sets of coal samples, the system will perform weighing calibration of the quantitative sample storage cells and automatically adjust them based on the error. The specific process is as follows:

[0099] 1. Weighing calibration:

[0100] The system weighs the coal sample in the quantitative storage cell and compares the actual measured weight with the set target weight. If the error is within 0.5%, the size adjustment of the quantitative storage cell is considered reasonable and no compensation is required. If the error exceeds ±0.5%, the system enters the automatic size compensation stage.

[0101] 2. Automatic size compensation:

[0102] Excessive error may be caused by fluctuations in the bulk density of the coal sample, changes in the coal flow rate, or changes in the physical size of the quantitative sample storage cell. Therefore, it is necessary to adjust the physical size of the quantitative sample storage cell.

[0103] If the error is >0.5% (too many samples): appropriately reduce the cell size and decrease the amount of coal samples to be collected later.

[0104] If the error is less than -0.5% (insufficient sample): appropriately increase the cell size and increase the amount of coal sample.

[0105] After adjustment, the system proceeds to the next round of collecting 40 coal samples to ensure that it maintains an accurate coal sample storage level.

[0106] Beneficial effects: Regular weighing and calibration ensure that the size adjustment of quantitative sample storage cells always meets expectations during the sampling process, thereby improving the representativeness of coal samples.

[0107] Electronic device 300 can be a desktop computer, laptop, handheld computer, cloud server, or other electronic device. Electronic device 300 may include, but is not limited to, processor 301 and memory 302. Those skilled in the art will understand that... Figure 3This is merely an example of electronic device 300 and does not constitute a limitation on electronic device 300. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device may also include input / output devices, network access devices, buses, etc.

[0108] Processor 301 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0109] The memory 302 can be an internal storage unit of the electronic device 300, such as a hard disk or RAM of the electronic device 300. The memory 302 can also be an external storage device of the electronic device 300, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the electronic device 300. Furthermore, the memory 302 can include both internal and external storage units of the electronic device 300. The memory 302 is used to store the computer program 303 and other programs and data required by the electronic device. The memory 302 can also be used to temporarily store data that has been output or will be output.

[0110] In the embodiments provided in this disclosure, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. Multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0111] If an integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program may include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. A computer-readable medium may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in a computer-readable medium may be appropriately added to or subtracted according to the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0112] The above embodiments are only used to illustrate the technical solutions of this disclosure, and are not intended to limit it. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be included within the protection scope of this disclosure.

Claims

1. An on-line coal feeding method applied to performance test of a belt sampler, characterized in that, The method comprises the following steps: S1: Collecting the inputted coal conveying operation parameters and the belt sampler performance parameters by the input module, the parameters including collecting the coal conveying amount , the belt width , the maximum depth of the coal flow , the sampler speed , the sampling period of the belt sampler ; S2: calculating the length of coal flow by a processing module , the calculation formula is , the processing module is in communication connection with the input module and is internally provided with a data processing chip; S3: the instruction execution module adjusts the physical size of the quantitative sample storage cell according to the belt width , the maximum depth of the coal flow , and the calculated length of the coal flow , adjusts the physical size of the quantitative sample storage cell, which has an adjustable coal drop opening S4: closing the discharge port at the bottom of the quantitative sample storage cell, opening the discharge port of the coal storage device, the coal storage device being connected to the quantitative sample storage cell through a valve switching device, and inputting the coal sample from the coal storage device into the quantitative sample storage cell; S5: starting the automatic coal feeding process according to the set period and coal quantity parameters, and controlling the opening of the coal falling port of the quantitative sample storage cell to release the stored coal sample onto the coal conveying belt opposite to the quantitative sample storage cell for the coal sampling machine to take the coal sample.

2. The method of claim 1, wherein, The physical size of the quantitative sample storage cell is adjusted to include: lateral adjustment amount longitudinal adjustment amount height adjustment amount .

3. The method of claim 1, wherein, The sampling machine sampling period The determination method comprises: t≥(single sampling mechanical action time+ safety margin time)×1.2, wherein the safety margin time is not less than 30 seconds.

4. The method of claim 1, wherein, The valve switching device comprises a first valve and a second valve, in step S4, the first valve is controlled to open and close the discharge port of the coal storage device, and in step S5, the second valve is controlled to open and close the coal falling port of the quantitative sample storage cell.

5. The method of claim 1, wherein, The method further comprises: After 40 groups of coal samples are collected, the quantitative sample storage cell is weighed and calibrated, and when the calibration error exceeds ±0.5%, the size is automatically adjusted for compensation.

6. An electronic device, comprising: It comprises: one or more processors; a storage unit for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more programs can make the one or more processors implement the online coal feeding method applied to the performance test of the belt sampling machine according to any one of claims 1 to 5.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the online coal feeding method applied to the performance test of the belt sampling machine according to any one of claims 1 to 5.

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