Coal sample preparation system and method

Abstract

The application discloses a coal sample preparation system and method, which comprises a control device, an intelligent sorting and self-sensing subsystem, a sample integrated processing subsystem and a sample packaging subsystem. The intelligent sorting and self-sensing subsystem is used for sampling and property detection of a coal sample. The control device is used for controlling the intelligent sorting and self-sensing system to mix and batch the sample. The sample integrated processing subsystem is used for crushing and reducing the mixed and batched coal sample to obtain a sample preparation sample and a reject. The control device is further used for encoding the sample preparation sample according to sample information of the sample preparation sample, and adjusting working parameters of the sample integrated processing subsystem according to weight data of the sample preparation sample. The sample packaging subsystem is used for packaging the encoded sample preparation sample to obtain a packaged sample with the code. The application can realize full-automatic process of coal sample preparation, and can automatically adjust and optimize system working parameters.

Description

Technical Field

[0001] This invention relates to the field of coal sample preparation technology, specifically to a coal sample preparation system and method. Background Technology

[0002] Coal production, processing, logistics, and consumption require analysis of parameters such as moisture, ash content, volatile matter, calorific value, and sulfur content. To meet the requirements of coal quality analysis, sampling and sample preparation are necessary. Currently, coal sample preparation in my country still relies on manual methods. According to the national standard GB / T474 "Methods for Coal Sample Preparation," the main operations in coal sample preparation include sieving, mixing, and sample reduction. During these operations, the sample preparation equipment requires manual operation and involves transfers between related sample preparation steps, resulting in long preparation cycles, high labor intensity, and significant dust pollution. Furthermore, the long turnaround time leads to substantial losses of moisture and fine powder, making it difficult to guarantee sample preparation accuracy.

[0003] To improve the efficiency and accuracy of the entire coal sample preparation process, some automated sample preparation systems have been developed in the coal industry. However, existing coal sample preparation systems still have the following problems:

[0004] 1. Due to the significant differences in the properties of coal samples processed in coal mines, existing sample preparation systems typically use the same parameters and simple procedures, resulting in low system efficiency and adaptability.

[0005] 2. The intermediate process parameters of the sample are difficult to trace. For example, if a problem occurs during the sample preparation process, it is difficult to determine whether it is due to the system itself or the influence of the feed material. Optimizing the sample preparation process is therefore quite difficult. Summary of the Invention

[0006] To address one or more of the aforementioned problems in the existing technology, this invention provides a coal sample preparation system and method that achieves a fully automated coal sample preparation process, improving the system's sample preparation efficiency and adaptability to coal samples with different properties.

[0007] Therefore, the present invention provides the following technical solution:

[0008] A coal sample preparation system, the system comprising: control equipment, and sequentially arranged intelligent sorting and self-sensing subsystem, integrated sample processing subsystem, and sample packaging subsystem;

[0009] The intelligent sorting and self-sensing subsystem is used to sample and detect the properties of coal samples, transmit the obtained sampling information to the data stack of the control device, and transmit the obtained property parameters to the control device.

[0010] The control device controls the intelligent sorting and self-sensing subsystem to perform sample batching based on the sampling information: controlling coal samples of the same batch to enter the integrated sample processing subsystem, and controlling coal samples of different batches to wait for the next sorting process; generating initial operating parameters for the integrated sample processing subsystem based on the property parameters, and transmitting the initial operating parameters to the integrated sample processing subsystem.

[0011] The integrated sample processing subsystem is used to crush and reduce the coal sample after sample batching according to the initial working parameters to obtain the sample preparation and waste material, and weigh the weight of the reduced sample preparation in real time, and transmit the weight data and sample information of the sample preparation to the control device.

[0012] The control device is also used to encode the prepared sample according to the sample information of the prepared sample, and to adjust the working parameters of the integrated sample processing subsystem according to the weight data of the prepared sample.

[0013] The sample encapsulation subsystem is used to encapsulate the coded sample to obtain a coded encapsulated sample.

[0014] Preferably, the integrated sample processing subsystem includes: a material handling workstation and a weighing unit;

[0015] The material handling workstation is used to process the coal sample to the required particle size and reduce it to the required weight to obtain the sample preparation and waste material.

[0016] The weighing unit is used to weigh the reduced sample in real time and transmit the weight data and sample information of the sample to the control device.

[0017] Preferably, the material handling workstation includes: a feeding workstation, a crushing workstation, and a reducing workstation.

[0018] Preferably, the crushing workstation includes a crusher and a material status self-sensing probe;

[0019] The material state self-sensing probe is used to sense the material state of the crushing workstation, and transmits a sensing signal to the control equipment when the material accumulation form reaches a certain state.

[0020] The control device is also used to control the feeder of the feeding workstation to stop feeding after receiving the sensing signal, and to control the feeder to resume feeding after the sensing signal is eliminated.

[0021] Preferably, the crusher is equipped with a shaft speed detection sensor to detect the shaft speed of the crusher and transmit the detection signal to the control device;

[0022] The control device is also used to control the feeder and the crusher to stop working and to issue an alarm when the crusher shaft speed drops to a set threshold based on the detection signal.

[0023] Preferably, the material handling workstation has multiple levels to output various sample preparations with different particle sizes and requirements, and each level of the material handling workstation is equipped with its own weighing unit.

[0024] Preferably, the system further includes:

[0025] The waste cleaning subsystem is used to clean the waste according to the change in the mass of the waste.

[0026] Preferably, the system further includes: a robotic subsystem disposed between the integrated sample processing subsystem and the sample packaging subsystem;

[0027] The control device is also used to generate initial operating parameters of the robot working subsystem according to the property parameters, and transmit the initial operating parameters to the robot working subsystem;

[0028] The robot working subsystem is used to perform post-processing on some or all of the samples prepared by the integrated sample processing subsystem according to the initial working parameters. The post-processing includes at least: sample stabilization, drying, weighing, grinding, and dispensing operations; and transmits the weighing data and dispensing information to the control device.

[0029] The control device is also used to encode the packaged sample according to the packaging information and adjust the working parameters of the robot working subsystem according to the weighing data.

[0030] Preferably, the system further includes:

[0031] A dust removal subsystem is used to remove dust from the pulverizing process of the integrated sample processing subsystem and the grinding process of the robotic working subsystem.

[0032] The control device is also used to adjust the dust removal air volume of the dust removal subsystem according to the current material handling volume of the integrated sample processing subsystem and the robot working subsystem.

[0033] A method for preparing coal samples, the method comprising:

[0034] To obtain sampling information and property parameters obtained from sampling and property detection of coal samples;

[0035] Based on the sampling information, the sample is combined and batched: coal samples from the same batch are controlled to enter the integrated sample processing subsystem, while coal samples from different batches are controlled to wait for the next sorting process; and the initial operating parameters of the integrated sample processing subsystem are generated based on the property parameters.

[0036] The integrated sample processing subsystem is controlled to crush and reduce the coal sample after sample batching and approval according to the initial working parameters to obtain the sample preparation and waste, and the weight of the reduced sample preparation is weighed in real time.

[0037] The sample is coded according to the sample information of the sample, and the working parameters of the integrated sample processing subsystem are adjusted according to the weight data of the sample.

[0038] The coded sample is then packaged to obtain a packaged sample with a code.

[0039] Preferably, the method further includes:

[0040] During the crushing and reduction of coal samples, the material status of the sensing crushing station is monitored, and when the material accumulation reaches a certain state, the feeder is controlled to stop feeding.

[0041] Preferably, the method further includes:

[0042] Obtain the crusher shaft speed;

[0043] When the crusher shaft speed drops to a set threshold, the feeder and crusher will stop working and an alarm will be triggered.

[0044] Preferably, the method further includes:

[0045] The initial operating parameters of the control robot subsystem are generated based on the aforementioned property parameters;

[0046] The robot control subsystem performs post-processing on some or all of the samples prepared by the integrated sample processing subsystem according to the initial working parameters. The post-processing includes at least: sample stabilization, drying, weighing, grinding, and dispensing operations.

[0047] The packaged samples are coded according to the packaging information, and the working parameters of the robot working subsystem are adjusted according to the weighing data.

[0048] Preferably, the method further includes:

[0049] The waste is cleaned up based on the change in its mass.

[0050] The coal sample preparation system and method provided by this invention address the multiple steps and equipment required for coal sample preparation. When the system starts working, it controls the system based on initial working parameters and monitors the weight of the prepared sample and the status of the equipment in real time. The system working parameters are optimized and adjusted according to the changes in the weight data of the prepared sample. This not only achieves fully automated sample preparation, but also allows the system to better adapt to different sample requirements through automatic parameter adjustment, effectively ensuring the accuracy of sample preparation. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0052] Figure 1 This is a structural block diagram of a coal sample preparation system provided in an embodiment of the present invention;

[0053] Figure 2 This is a structural block diagram of a sample integrated processing subsystem in an embodiment of the present invention;

[0054] Figure 3 This is another structural block diagram of the coal sample preparation system provided in the embodiments of the present invention;

[0055] Figure 4 This is a structural block diagram of a robot working subsystem in an embodiment of the present invention;

[0056] Figure 5 This is a flowchart of a coal sample preparation method provided in an embodiment of the present invention;

[0057] Figure 6 This is another flowchart of the coal sample preparation method provided in the embodiments of the present invention. Detailed Implementation

[0058] To more clearly and explicitly illustrate the technical solution and objectives of this invention, the invention will be further described in detail below. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0059] Because the properties of coal samples vary greatly in coal mines, and the properties of the incoming samples (such as moisture, particle size, ash content, etc.) have a direct impact on subsequent coal sample crushing, feeding, drying, and other processes, this invention provides a coal sample preparation system that can not only achieve fully automated sample preparation, but also better adapt to different sample requirements and ensure sample preparation accuracy through automatic parameter adjustment.

[0060] like Figure 1 The diagram shown is a structural block diagram of a coal sample preparation system provided in an embodiment of the present invention.

[0061] In this embodiment, the system includes: a control device, and sequentially arranged intelligent sorting and self-sensing subsystems, integrated sample processing subsystems, and sample packaging subsystems. Wherein:

[0062] The process involves sampling and property detection of coal samples, such as storing the sample in a sample retention container and writing corresponding sampling information (e.g., sampling code). The obtained sampling information is transmitted to the data stack of the control device, and the obtained property parameters are also transmitted to the control device. The sampling information may include, for example, sample weight, number of subsamples, sampling time, mineral type, etc.; the property parameters may include, but are not limited to, parameters such as moisture content and caking properties of the coal sample.

[0063] The control device is used to retrieve the sampling information from the data stack and control the intelligent sorting and self-sensing subsystem to perform sample batching based on the sampling information: that is, to control coal samples of the same batch to enter the integrated sample processing subsystem, and to control coal samples of different batches to enter the rotary end to wait for the next sorting process; the control device also generates the initial operating parameters of the integrated sample processing subsystem based on the property parameters, such as feeding parameters, reduction parameters, etc., and transmits the initial operating parameters of the integrated sample processing subsystem to the integrated sample processing subsystem;

[0064] The integrated sample processing subsystem is used to crush and reduce the coal sample after sample batching according to the initial working parameters to obtain the sample preparation and waste material, and weigh the weight of the reduced sample preparation in real time, and transmit the weight data and sample information of the sample preparation to the control device.

[0065] The control device is also used to encode the prepared sample according to the sample information, and adjust the operating parameters of the integrated sample processing subsystem according to the weight data of the prepared sample. Additionally, the control device can save the weight data and the adjusted operating parameters to a data stack.

[0066] The sample encapsulation subsystem is used to encapsulate the coded sample to obtain a coded encapsulated sample.

[0067] By writing sample information into the data stack, if the final sample is found to have problems after testing and review, the key sample preparation parameters in the database stack can be determined based on the corresponding sample number, and the sample preparation system parameters can be manually inspected or adjusted.

[0068] Furthermore, in another embodiment of the system of the present invention, it may further include: a waste material cleaning subsystem (not shown), used to clean the waste material according to the change in the mass of the waste material. The waste material cleaning subsystem has weighing and waste material conveying functions, and may specifically include a waste material conveyor belt and a weighing sensor.

[0069] like Figure 2 The diagram shown illustrates a structural block diagram of an integrated sample processing subsystem according to an embodiment of the present invention.

[0070] The integrated sample processing subsystem includes a material processing workstation and a weighing unit. The material processing workstation includes a feeding workstation, a crushing workstation, and a reducing workstation.

[0071] The material handling workstation is used to process the coal sample to the required particle size and reduce it to the required weight to obtain the sample preparation and waste material.

[0072] The weighing unit is used to weigh the reduced sample in real time and transmit the weight data and sample information of the sample to the control device.

[0073] The crushing workstation includes a crusher and a material state self-sensing probe. The probe senses the material state within the crushing workstation and transmits a sensing signal to the control equipment when the material accumulation reaches a certain state. Correspondingly, upon receiving the sensing signal, the control equipment controls the feeder to stop feeding, and resumes feeding after the sensing signal is eliminated. The crushing workstation may also include a self-cleaning device.

[0074] Furthermore, the crusher is equipped with a shaft speed detection sensor to detect the crusher shaft speed and transmit a detection signal to the control device. Accordingly, when the control device determines, based on the detection signal, that the crusher shaft speed has dropped to a set threshold (e.g., a 30% reduction in crusher shaft speed), it controls the feeder and crusher to stop working and issues an alarm.

[0075] The reduction workstation may specifically include a reduction machine and a weighing unit.

[0076] It should be noted that in practical applications, multiple levels of the material processing workstations can be set up as needed to output samples with various particle sizes and requirements. Each level of the material processing workstation is equipped with its own weighing unit. Furthermore, the multi-level material processing workstations can be connected in parallel or serially. In the parallel connection scenario, the control equipment can control the input of coal samples from the same batch into different material processing workstations according to the required quantities. Each workstation then performs crushing and reduction processing on its respective input material. In the serial connection scenario, a portion of the sample processed by the current workstation can be input into the next-level workstation for further processing, thereby obtaining samples with even smaller particle sizes.

[0077] Furthermore, in order to further improve sample preparation efficiency, in another embodiment of the system of the present invention, a robot working subsystem may be added to complete part of the sample preparation work.

[0078] like Figure 3 The diagram shown is another structural block diagram of the coal sample preparation system provided in an embodiment of the present invention.

[0079] and Figure 1 Unlike the illustrated embodiment, in this embodiment, the system further includes a robotic subsystem disposed between the integrated sample processing subsystem and the sample packaging subsystem.

[0080] Accordingly, in this embodiment, the control device is also used to generate initial working parameters of the robot working subsystem based on the property parameters transmitted by the intelligent sorting and self-sensing subsystem, such as working parameters of drying, grinding, constant temperature and humidity, etc., and transmit the initial working parameters to the robot working subsystem.

[0081] Accordingly, the robot working subsystem performs post-processing on some or all of the samples obtained by the integrated sample processing subsystem according to the initial working parameters. The post-processing includes, but is not limited to, sample stabilization (i.e., constant temperature and humidity), drying, weighing, grinding, and dispensing operations; and transmits the weighing data and dispensing information to the control device; the weighing data includes the weight data of the material before and after drying.

[0082] Accordingly, the control device encodes the packaged samples based on the packaging information. Furthermore, the control device can determine the weight change of the sample before and after drying based on the weighing data, and then adjust the operating parameters of the robot subsystem based on the weighing data, such as adjusting the temperature and humidity parameters during the drying process, to optimize the operating parameters of the robot subsystem. Additionally, the control device can save the weighing data and the adjusted operating parameters to a data stack.

[0083] like Figure 4 The diagram shown is a structural block diagram of a robot working subsystem in an embodiment of the present invention.

[0084] In this embodiment, the robot working subsystem includes: a constant temperature and humidity workstation, a grinding workstation, and a dispensing workstation. In order to make the drying process more uniform, it may further include a leveling workstation.

[0085] The flattening workstation is used for flattening and weight detection of stacked samples, and may include a flattening mechanism, a weight detection mechanism, a door opening and closing mechanism, a flattening action detection mechanism, and a door opening and closing action detection mechanism; the drying workstation is used for drying and weight detection of samples, and may include a heating device, a door opening and closing mechanism, a temperature sensor, a weight detection sensor, and a door opening and closing action detection sensor; the grinding workstation is used for grinding the dried samples, and may include a grinding mechanism, a door opening and closing mechanism, and a self-cleaning mechanism; the constant temperature and humidity workstation is used to provide a constant temperature and humidity environment for the samples, and may include a heating device, a humidification device, a door opening and closing mechanism, a temperature sensor, a humidity sensor, and a door opening and closing action detection sensor; the sample dispensing workstation is used for dispensing samples, and may include a sample conveyor belt and a sample dispensing machine.

[0086] The sample entering the robotic working subsystem is first spread out in a leveling workstation to ensure even distribution. A constant temperature and humidity workstation maintains a certain temperature and humidity in the space containing the sample. The sample is then dried in a drying workstation. After drying, the sample enters a grinding workstation for further grinding to achieve a finer particle size to meet different particle size requirements. Finally, the ground sample enters a dispensing workstation to complete the dispensing work for different needs.

[0087] It should be noted that in practical applications, depending on the application requirements, the grinding workstation may first reduce a portion of the sample for cleaning, and then grind the remaining sample. This embodiment of the invention does not limit this.

[0088] In addition, in practical applications, the robot working subsystem can have one or more independent workstations. Multiple independent workstations can simultaneously perform operations such as drying, grinding, sample stabilization and packaging, thereby further improving sample preparation efficiency.

[0089] Furthermore, to avoid the impact of dust generated by the material crushing process of the integrated sample processing subsystem and the grinding process of the robotic working subsystem on the working environment and equipment, in another embodiment of the system of the present invention, the system may further include: a dust removal subsystem (not shown), used to remove dust from the crushing process of the integrated sample processing subsystem and the grinding process of the robotic working subsystem. The dust removal subsystem may specifically include a dust removal host, dust removal pipes, and an adjustable electric air valve, etc.

[0090] Accordingly, the control device can also adjust the dust removal air volume of the dust removal subsystem according to the current material handling volume of the integrated sample processing subsystem and the robot working subsystem.

[0091] Using the coal sample preparation system of this invention, samples with different particle sizes and weight requirements can be obtained.

[0092] The coal sample preparation system provided by this invention addresses the multiple stages and equipment required for coal sample preparation. Upon system startup, it controls the system based on initial operating parameters and monitors the sample weight and equipment status in real time. The system optimizes and adjusts operating parameters based on changes in sample weight data. This not only achieves fully automated sample preparation but also allows the system to better adapt to different sample requirements through automatic parameter adjustment, effectively ensuring sample preparation accuracy. Because the system's operation is not solely controlled by initial parameters but also optimized based on online measurement parameters, it can better adapt to materials and environments with rapidly changing sample properties (such as moisture content), ensuring sample quality, reducing manual adjustment time, and effectively improving sample preparation efficiency.

[0093] Furthermore, the system has data stack and optimization functions. The operating parameters are stored in the data stack, and the control system can periodically optimize the operating parameters of each subsystem based on the data in the data stack.

[0094] Furthermore, the system prepares samples with unique codes. If there are any doubts about the data in the testing or other stages, the problematic batch can be quickly located to confirm the problem in the sample preparation process.

[0095] Accordingly, embodiments of the present invention also provide a method for preparing coal samples, such as... Figure 5 The diagram shown is a flowchart of a coal sample preparation method provided in an embodiment of the present invention, including the following steps:

[0096] Step 501: Obtain sampling information and property parameters obtained from sampling and property detection of coal samples.

[0097] Step 502: Perform sample merging and batching based on the sampling information: control coal samples from the same batch to enter the integrated sample processing subsystem, and control coal samples from different batches to wait for the next sorting process; and generate the initial operating parameters of the integrated sample processing subsystem based on the property parameters.

[0098] Step 503: Control the integrated sample processing subsystem to crush and reduce the coal sample after sample batching according to the initial working parameters to obtain the sample preparation and waste material, and weigh the reduced sample preparation in real time.

[0099] Step 504: Encode the prepared sample according to the sample information, and adjust the working parameters of the integrated sample processing subsystem according to the weight data of the prepared sample.

[0100] Step 505: Package the coded sample to obtain a packaged sample with a code.

[0101] Furthermore, in another embodiment of the method of the present invention, the method may further include the following steps:

[0102] During the crushing and reduction of coal samples, the material status of the sensing crushing station is monitored, and when the material accumulation reaches a certain state, the feeder is controlled to stop feeding.

[0103] Furthermore, in another embodiment of the method of the present invention, the method further includes the following steps:

[0104] The crusher shaft speed is obtained, and when the crusher shaft speed drops to a set threshold, the feeder and crusher are controlled to stop working and an alarm is triggered.

[0105] like Figure 6 The diagram shown is another flowchart of the coal sample preparation method provided in an embodiment of the present invention.

[0106] Step 601: Obtain sampling information and property parameters obtained from sampling and property detection of coal samples.

[0107] Step 602: Perform sample merging and batching based on the sampling information: control coal samples from the same batch to enter the integrated sample processing subsystem, and control coal samples from different batches to wait for the next sorting process; and generate the initial operating parameters of the integrated sample processing subsystem and the initial operating parameters of the control robot working subsystem based on the property parameters.

[0108] Step 603: Control the integrated sample processing subsystem to crush and reduce the coal sample after sample batching according to its initial working parameters to obtain the prepared sample and waste material. Weigh the weight of the reduced sample in real time and transfer part of the prepared sample to the robot subsystem.

[0109] Step 604: The robot working subsystem is controlled to perform post-processing on some or all of the samples obtained by the integrated sample processing subsystem according to its initial working parameters. The post-processing includes at least: sample stabilization, drying, weighing, grinding and dispensing operations.

[0110] Step 605: Encode the prepared sample according to the sample information, adjust the working parameters of the integrated sample processing subsystem according to the weight data of the prepared sample; encode the packaged sample according to the packaging information, and adjust the working parameters of the robot working subsystem according to the weighing data.

[0111] Step 606: The coded sample is packaged to obtain a packaged sample with a code.

[0112] It should be noted that steps 603 and 604 above do not represent a temporal sequence, but are performed simultaneously. In other words, the control of the integrated sample processing subsystem and the robot processing subsystem is performed immediately after the system is powered on.

[0113] Furthermore, the method may further include the following step: cleaning up the waste material based on the change in its mass.

[0114] The coal sample preparation method provided by this invention addresses multiple steps and equipment required for sample preparation. At system startup, it controls the system based on initial operating parameters and monitors the sample weight and equipment status in real time. The system optimizes and adjusts operating parameters based on changes in sample weight data. This not only achieves fully automated sample preparation but also allows the system to better adapt to different sample requirements through automatic parameter adjustment, effectively ensuring sample preparation accuracy. Because the system's operation is not solely controlled by initial parameters but also optimized based on online measurement parameters, it can better adapt to materials and environments with rapidly changing sample properties (such as moisture content), ensuring sample quality, reducing manual adjustment time, and effectively improving sample preparation efficiency.

[0115] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A coal sample preparation system, characterized by, The system includes: a control device, and sequentially arranged intelligent sorting and self-sensing subsystems, integrated sample processing subsystems, and sample packaging subsystems; The intelligent sorting and self-sensing subsystem is used to sample and detect the properties of coal samples, transmit the obtained sampling information to the data stack of the control device, and transmit the obtained property parameters to the control device; the sampling information includes sampling weight, number of sample subsamples, sampling time, and mineral type; the property parameters include the moisture content and caking properties of the coal sample; The control device controls the intelligent sorting and self-sensing subsystem to perform sample batching based on the sampling information: controlling coal samples from the same batch to enter the integrated sample processing subsystem, and controlling coal samples from different batches to wait for the next sorting process; generating initial operating parameters for the integrated sample processing subsystem based on the property parameters, and transmitting the initial operating parameters to the integrated sample processing subsystem; the initial operating parameters include feeding parameters and reduction parameters. The integrated sample processing subsystem is used to crush and reduce the coal sample after sample batching according to the initial working parameters to obtain the sample preparation and waste material, and weigh the weight of the reduced sample preparation in real time, and transmit the weight data and sample information of the sample preparation to the control device. The control device is also used to encode the prepared sample according to the sample information of the prepared sample, and to adjust the working parameters of the integrated sample processing subsystem according to the weight data of the prepared sample. The sample encapsulation subsystem is used to encapsulate the coded sample preparation to obtain a coded encapsulated sample. The system further includes a robotic subsystem disposed between the integrated sample processing subsystem and the sample packaging subsystem. The control device is also used to generate initial operating parameters of the robot working subsystem based on the property parameters. The initial operating parameters of the robot working subsystem include the operating parameters of the drying, grinding, and constant temperature and humidity stages. The initial operating parameters of the robot working subsystem are transmitted to the robot working subsystem; The robot working subsystem is used to perform post-processing on some or all of the samples prepared by the integrated sample processing subsystem according to the initial working parameters of the robot working subsystem. The post-processing includes at least: sample stabilization, drying, weighing, grinding, and dispensing operations; and transmits the weighing data and dispensing information to the control device. The control device is also used to encode the packaged sample according to the packaging information and adjust the working parameters of the robot working subsystem according to the weighing data.

2. The system of claim 1, wherein, The integrated sample processing subsystem includes: a material handling workstation and a weighing unit; The material handling workstation is used to process the coal sample to the required particle size and reduce it to the required weight to obtain the sample and waste material. The weighing unit is used to weigh the reduced sample in real time and transmit the weight data and sample information of the sample to the control device.

3. The system of claim 2, wherein, The material handling workstation includes: a feeding workstation, a crushing workstation, and a reducing workstation.

4. The system as described in claim 3, characterized in that, The crushing workstation includes a crusher and a material status self-sensing probe; The material state self-sensing probe is used to sense the material state of the crushing workstation, and transmits a sensing signal to the control equipment when the material accumulation form reaches a certain state. The control device is also used to control the feeder of the feeding workstation to stop feeding after receiving the sensing signal, and to control the feeder to resume feeding after the sensing signal is eliminated.

5. The system as described in claim 4, characterized in that, The crusher is equipped with a shaft speed detection sensor to detect the shaft speed of the crusher and transmit the detection signal to the control device; The control device is also used to control the feeder and the crusher to stop working and to issue an alarm when the crusher shaft speed drops to a set threshold based on the detection signal.

6. The system as described in claim 2, characterized in that, The material handling workstation has multiple levels to output various sample preparations with different particle sizes and requirements. Each level of the material handling workstation is equipped with its own weighing unit.

7. The system according to any one of claims 1 to 6, characterized in that, The system also includes: The waste cleaning subsystem is used to clean the waste according to the change in the mass of the waste.

8. The system as described in claim 1, characterized in that, The system also includes: A dust removal subsystem is used to remove dust from the pulverizing process of the integrated sample processing subsystem and the grinding process of the robotic working subsystem. The control device is also used to adjust the dust removal air volume of the dust removal subsystem according to the current material handling volume of the integrated sample processing subsystem and the robot working subsystem.

9. A method for preparing coal samples, characterized in that, The method includes: The sampling information and property parameters obtained from sampling and property detection of coal samples are acquired; the sampling information includes sample weight, number of sample subsamples, sampling time, and mineral type; the property parameters include the moisture content and caking properties of the coal sample. Based on the sampling information, sample merging and batching are performed: coal samples from the same batch are controlled to enter the integrated sample processing subsystem, while coal samples from different batches are controlled to wait for the next sorting process; and initial operating parameters of the integrated sample processing subsystem are generated based on the property parameters; the initial operating parameters include feeding parameters and reduction parameters. The integrated sample processing subsystem is controlled to crush and reduce the coal sample after sample batching and approval according to the initial working parameters to obtain the sample preparation and waste, and the weight of the reduced sample preparation is weighed in real time. The sample is coded according to the sample information of the sample, and the working parameters of the integrated sample processing subsystem are adjusted according to the weight data of the sample. The coded sample is then packaged to obtain a packaged sample with a code. The method further includes: The initial operating parameters of the robot working subsystem are generated based on the aforementioned property parameters. The initial operating parameters of the robot working subsystem include the operating parameters of the drying, grinding, and constant temperature and humidity processes. The robot operation subsystem performs post-processing on some or all of the samples obtained by the integrated sample processing subsystem according to the initial operating parameters of the robot operation subsystem. The post-processing includes at least: sample stabilization, drying, weighing, grinding, and dispensing operations. The packaged samples are coded according to the packaging information, and the working parameters of the robot working subsystem are adjusted according to the weighing data.

10. The coal sample preparation method according to claim 9, characterized in that, The method further includes: During the crushing and reduction of coal samples, the material status of the sensing crushing station is monitored, and when the material accumulation reaches a certain state, the feeder is controlled to stop feeding.

11. The coal sample preparation method as described in claim 10, characterized in that, The method further includes: Obtain the crusher shaft speed; When the crusher shaft speed drops to a set threshold, the feeder and crusher will stop working and an alarm will be triggered.

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