Coal sample preparation machine monitoring system and method

Abstract

The present invention belongs to the field of coal quality analysis and discloses a coal sample preparation machine monitoring system and method, including a data monitoring device, a video monitoring device, and a processing terminal. The data monitoring device is used to obtain coal sample information and real-time operation data of the coal sample preparation machine and send them to the processing terminal; the video monitoring device is used to obtain external scene monitoring video of the coal sample preparation machine and send it to the processing terminal; the processing terminal is used to obtain preset operation parameters of the coal sample preparation machine based on the coal sample information and send them to the coal sample preparation machine; and based on the real-time operation data and preset operation parameters of the coal sample preparation machine, the operation monitoring information of the coal sample preparation machine is generated and visually displayed; and the external scene monitoring video of the coal sample preparation machine is visually displayed. This prevents erroneous operation caused by the failure of the sample delivery operation to be completed in time due to equipment problems, allowing operators to discover and handle the problem as early as possible, preventing greater subsequent losses and ensuring the safe and effective operation of the sample preparation process.

Description

Technical Field

[0001] The invention belongs to the field of coal quality analysis and relates to a coal sample preparation machine monitoring system and method. Background Art

[0002] The key steps in coal quality analysis include sampling, sample preparation, and testing. Errors in sample preparation account for approximately 16% of the total error in coal quality analysis. For coal, the mass of a bulk sample collected according to standard methods typically ranges from several kilograms to hundreds of kilograms. However, laboratory testing requires only a few grams of air-dried coal sample (depending on the coal quality experimental requirements). This involves a large, unprocessed bulk sample taken from the sample, which undergoes a series of crushing and fractionation steps, and then a small sample is sampled from the bulk sample to produce accurate analytical results. Therefore, it is necessary to prepare the bulk sample into the required test samples while maintaining the average coal quality characteristics of the bulk sample. To achieve this, a representative bulk sample must be crushed, blended, and fractionated according to the prescribed preparation method. The bulk sample preparation should alternate between crushing and fractionation, and each fractionation step must be strictly monitored to ensure that the retained sample mass reaches the minimum retained mass required for the appropriate particle size, thereby maintaining the representativeness of the original coal sample.

[0003] At present, the preparation of coal samples mainly includes the following processes. 1. Crushing: When the particle size of the coal sample exceeds the particle size required for the reduction operation, it needs to be crushed to reduce the particle size to meet the reduction particle size requirements. At the same time, the dispersion degree of the inhomogeneous material is increased to reduce the reduction error. 2. Screening: In order to ensure that all coal samples are crushed to the necessary particle size, they must be sieved with a specified sieve. After screening, all coal samples that do not pass through the sieve must be crushed again until all coal samples pass through all sieves to ensure that in each sample preparation stage, all inhomogeneous materials reach a certain degree of dispersion. 3. Blending: Use a certain prescribed method to blend the coal sample to achieve the purpose of uniform distribution of large and small particle sizes, so as to reduce the error in the next reduction step. The blending method can use manual or mechanical sample mixers. 4. Reduction: Reduce the coal sample into two or more parts by manual or mechanical methods to achieve the purpose of reducing the quantity. 5. Drying: During the coal sample preparation process, sometimes the coal sample is too wet to be further crushed and reduced. Drying is necessary. The drying temperature generally does not exceed 50°C, but it can be slightly higher for highly metamorphic coal. Alternatively, natural flattening drying can be used.

[0004] The coal sample preparation machine is a system that replaces the traditional manual sampling mode to automatically receive, prepare, and transmit coal samples. The coal sample preparation machine includes a robot, a coal sample conveyor, a crusher, an adjustable reducer, an automatic pulverizer, an automatic sample loader, an automatic sample bottle feeder, and a waste material conveying and recovery device. During the sampling process, the coal sample preparation machine often experiences operational failures due to equipment issues, the operating status of the coal sample preparation machine, the impact of wet coal on the coal sample preparation machine, the efficiency of waste coal handling, and the air drying process. Coal sample preparation machines generally operate automatically, and relying solely on irregular manual inspections makes it difficult to detect failures in a timely manner, which in turn affects sampling efficiency and makes it difficult to ensure the safe and effective operation of the sampling process. It may also cause greater subsequent losses. Summary of the Invention

[0005] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art that it is difficult to timely detect operating failures of coal sampling machines, and to provide a coal sampling machine monitoring system and method.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] According to a first aspect of the present invention, a coal sample making machine monitoring system includes a data monitoring device, a video monitoring device and a processing terminal, wherein one end of the data monitoring device is connected to the processing terminal and the other end is connected to the coal sample making machine; the video monitoring device is connected to the processing terminal; the data monitoring device is used to obtain coal sample information and real-time operation data of the coal sample making machine, and send it to the processing terminal; the video monitoring device is used to obtain external scene monitoring video of the coal sample making machine, and send it to the processing terminal; the processing terminal is used to obtain preset operating parameters of the coal sample making machine based on the coal sample information and send it to the coal sample making machine; and according to the real-time operation data and preset operating parameters of the coal sample making machine, generate operation monitoring information of the coal sample making machine and display it visually; and visually display the external scene monitoring video of the coal sample making machine.

[0008] Optionally, a coal sample humidity scheme formulation module is set in the processing terminal; the coal sample humidity scheme formulation module is used to obtain the humidity of the current coal sample based on the coal sample information; and obtain the sample collection amount before sample preparation, the sample amount obtained by sample preparation, the sample discarded amount after sample preparation, the sample preparation time and the real-time operation data of the coal sample preparation machine of the current coal sample to obtain the sample preparation data of the current coal sample; and obtain the sample preparation data of historical coal samples with the same humidity as the current coal sample, and based on the sample preparation data of the current coal sample and the sample preparation data of historical coal samples with the same humidity as the current coal sample, obtain the optimal operation data of the coal sample preparation machine under the humidity of the current coal sample, and use it as the preset operation parameters of the coal sample preparation machine for the coal sample with this humidity.

[0009] Optionally, a fault alarm module is provided in the processing terminal, and the fault alarm module is used to generate operation fault alarm information of the coal sampling machine according to the real-time operation data of the coal sampling machine and preset fault warning rules.

[0010] Optionally, the operation fault alarm information includes alarm information and fault problem information.

[0011] Optionally, it also includes several mobile terminals, which are all connected to the processing terminal; the processing terminal is also used to send the operation fault alarm information of the coal sampling machine to several mobile terminals; the mobile terminal is used to receive the operation fault alarm information, respond to the alarm information and issue an alarm, and visually display the fault problem information.

[0012] Optionally, the external scene monitoring video includes coal sample transportation monitoring video, robot operation monitoring video, robot sample pouring monitoring video, sample collection monitoring video and waste material transportation monitoring video.

[0013] Optionally, the real-time operating data of the coal sampling machine includes the number of times the robot pours samples, the operating parameters of the coal sample conveying device, the number of crushing times of the crusher, the number of reduction times of the reducer, the operating parameters of the automatic powder making machine, the operating parameters of the automatic sample loading machine, the operating parameters of the automatic sample bottle feeding machine, and the operating parameters of the waste material conveying and recovery device.

[0014] The second aspect of the present invention is a coal sampling machine monitoring method based on the above-mentioned coal sampling machine monitoring system, comprising: obtaining coal sampling information and real-time operation data of the coal sampling machine through data monitoring equipment, and sending them to a processing terminal; obtaining external scene monitoring video of the coal sampling machine through video monitoring equipment, and sending them to a processing terminal; obtaining preset operation parameters of the coal sampling machine according to the coal sampling information through the processing terminal and sending them to the coal sampling machine; generating operation monitoring information of the coal sampling machine according to the real-time operation data and preset operation parameters of the coal sampling machine through the processing terminal and visually displaying it; and visually displaying the external scene monitoring video of the coal sampling machine through the processing terminal.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] The coal sample preparation machine monitoring system of the present invention uses a data monitoring device to obtain coal sample information and real-time operation data of the coal sample preparation machine. Then, based on the coal sample information, the preset operation parameters of the coal sample preparation machine are obtained and sent to the coal sample preparation machine. The preset operation parameters of the coal sample preparation machine are adjusted in a targeted manner according to the specific coal sample information, thereby improving the sample preparation efficiency and sample accuracy. Based on the real-time operation data and preset operation parameters of the coal sample preparation machine, the operation monitoring information of the coal sample preparation machine is generated and visually displayed, realizing the feedback of the operation status parameters of the coal sample preparation machine. It can timely detect whether there are any problems in the operation of the coal sample preparation, prevent erroneous operations caused by the failure of the equipment to complete the sample delivery operation in time due to equipment reasons, and ensure the safe and efficient operation of the sample preparation process. At the same time, the external scene monitoring video of the coal sample preparation machine is obtained through the video monitoring device. Based on the external scene monitoring video, problems that occur in the sample preparation process of the coal sample preparation machine can be timely discovered, so that the operator can discover and deal with them as soon as possible to prevent greater subsequent losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is an application flow chart of the coal sample preparation machine monitoring system of the present invention. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0019] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0020] The present invention is described in further detail below with reference to the accompanying drawings:

[0021] In one embodiment of the present invention, a coal sampling machine monitoring system is provided, including a data monitoring device, a video monitoring device and a processing terminal, wherein one end of the data monitoring device is connected to the processing terminal, and the other end is connected to the coal sampling machine; the video monitoring device is connected to the processing terminal; wherein the data monitoring device is used to obtain coal sample information and real-time operation data of the coal sampling machine, and send it to the processing terminal; the video monitoring device is used to obtain external scene monitoring video of the coal sampling machine, and send it to the processing terminal; the processing terminal is used to obtain preset operating parameters of the coal sampling machine based on the coal sample information and send it to the coal sampling machine; and according to the real-time operation data and preset operating parameters of the coal sampling machine, generate operation monitoring information of the coal sampling machine and visualize it; and visualize the external scene monitoring video of the coal sampling machine.

[0022] Specifically, the coal sample preparation machine monitoring system uses data monitoring equipment to obtain coal sample information and real-time operating data of the coal sample preparation machine. Then, based on the coal sample information, the preset operating parameters of the coal sample preparation machine are obtained and sent to the coal sample preparation machine. According to the specific coal sample information, the preset operating parameters of the coal sample preparation machine are adjusted in a targeted manner, thereby improving the sample preparation efficiency and sample accuracy. Based on the real-time operating data and preset operating parameters of the coal sample preparation machine, the operation monitoring information of the coal sample preparation machine is generated and visualized, realizing the feedback of the operating status parameters of the coal sample preparation machine. It can timely detect whether there are any problems in the operation of the coal sample preparation, prevent the misoperation caused by the equipment's self-operation due to the inability to complete the sample delivery operation in time due to equipment reasons, and ensure the safe and effective operation of the sample preparation process. At the same time, the external scene monitoring video of the coal sample preparation machine is obtained through the video monitoring equipment. Based on the external scene monitoring video, problems that occur in the sample preparation process of the coal sample preparation machine can be timely discovered, so that the operator can discover and deal with them as soon as possible to prevent greater subsequent losses.

[0023] In one possible embodiment, a coal sample humidity scheme formulation module is provided in the processing terminal; the coal sample humidity scheme formulation module is used to obtain the humidity of the current coal sample based on the coal sample information; and obtain the sample collection amount before sample preparation, the sample obtained by sample preparation, the sample discarded amount after sample preparation, the sample preparation time and the real-time operation data of the coal sample preparation machine of the current coal sample to obtain the sample preparation data of the current coal sample; and obtain the sample preparation data of historical coal samples with the same humidity as the current coal sample, and based on the sample preparation data of the current coal sample and the sample preparation data of historical coal samples with the same humidity as the current coal sample, obtain the optimal operation data of the coal sample preparation machine under the humidity of the current coal sample, and use it as the preset operation parameters of the coal sample preparation machine for the coal sample with this humidity.

[0024] Specifically, after the coal sample enters the coal sample preparation machine, the over-wet coal sample will have the following problems: the sample bucket is not completely emptied, and there is a large amount of residual coal sample in the bucket; the coal sample is transported in the machine and adheres to the machine, the total sample volume changes, affecting the subsequent sample data; and the coal sample is too wet, and the sample preparation cannot be completed efficiently and accurately.

[0025] To address the above issues, when coal samples are poured in, feedback is provided through video surveillance equipment, such as cameras, and barrels that have not been completely cleared of the sample are poured in a second time until the coal sample is completely poured in. After the coal sample enters the pouring device, the humidity of the coal sample is initially measured and recorded. This humidity is compared with the operating status of the coal sample preparation machine during the sample preparation to form a record. During the operation of the coal sample preparation machine, corresponding records are continuously added. Based on the operating status of the coal sample preparation machine and the required final coal sample quality, the corresponding operating parameters of the coal sample preparation machine under different humidity conditions are divided to improve sample preparation efficiency. The coal samples are compared by weight, including three parameters: the sample amount collected before sample preparation, the sample amount obtained during sample preparation, and the sample amount discarded after sample preparation. Through measurement comparison, the coal sample loss is determined, and relevant feedback for coal samples of different humidity levels is analyzed in combination with the humidity. Relevant personnel then debug the equipment, save the corresponding data, and conduct big data analysis to generate a sample preparation plan for the coal sample under that humidity level.

[0026] In a possible implementation, a fault alarm module is provided in the processing terminal, and the fault alarm module is used to generate operation fault alarm information of the coal sampling machine according to real-time operation data of the coal sampling machine and preset fault warning rules.

[0027] Specifically, by conducting basic research on the coal sampling machine, problems that occurred in each unit during operation and possible problems are collected. During the operation of the coal sampling machine, faults that affect the normal operation of the coal sampling machine due to the equipment itself or other factors such as coal samples, and problems that may cause damage to the equipment are included in the monitoring page, such as the sample barrel being stuck on the conveyor roller, wet coal transportation problems, robot operation collision rods, etc., and corresponding fault warning rules are set. Finally, combined with the real-time operation data of the coal sampling machine, real-time monitoring and alarm of operation failure problems in the sampling process are realized, which is convenient for staff to discover and deal with them in time.

[0028] Optionally, the operation fault alarm information includes alarm information and fault problem information, wherein the alarm information is specifically used to trigger alarm forms such as sound, light and vibration, and the fault problem information is specifically used to display what the specific fault problem is.

[0029] In one possible implementation, the coal sample preparation machine monitoring system also includes several mobile terminals, each connected to a processing terminal. The processing terminal is further configured to transmit operational fault alarm information about the coal sample preparation machine to the multiple mobile terminals. The mobile terminals are configured to receive the operational fault alarm information, respond to the alarm information, and visually display fault information. The design of the mobile terminals reduces the location restrictions for the processing terminal installation and enables operators to detect and address faults as early as possible.

[0030] In a possible embodiment, the external scene monitoring video includes coal sample transportation monitoring video, robot operation monitoring video, robot sample pouring monitoring video, sample collection monitoring video and waste material transportation monitoring video, and the real-time operation data of the coal sampling machine includes the number of robot sample pouring, coal sample conveying device operating parameters, crushing times of the crusher, reducing times of the reducer, automatic powder making machine operating parameters, automatic sample loading machine operating parameters, sample bottle automatic bottle feeding machine operating parameters and waste material conveying and recovery device operating parameters.

[0031] Specifically, an analysis model is established for each internal unit of the coal sample preparation machine, including the robot, coal sample conveying device, crusher, adjustable reducer, automatic pulverizer, automatic sample loading machine, automatic sample bottle feeding machine, and waste material conveying and recovery device. By monitoring and obtaining real-time data, preset data, and monitorable external scene monitoring videos of the entire process of the coal sample preparation machine from sample delivery to sample preparation, an analysis of the coal sample preparation machine's operating status is obtained, thereby establishing a monitoring system. The monitoring data mainly involves sample information, coal sample preparation machine operating status, fault alarm feedback, etc., and can monitor in real time from the sample preparation to the storage of sample bottles in the sample cabinet, as well as waste material conveying and other links. Real-time monitoring prevents sample replacement fraud during the sample collection process. Human behavior recognition or monitoring of the number of sample barrels collected can be used to ensure that no sample replacement occurs during this process. Through the feedback information and operation log of the coal sample making machine, the sample making process and the sample collection process after the sample making are monitored to determine whether there is any human control over the sample collection. For example, if only a part of the samples in the same batch are collected, the result will deviate from the human control direction. The coal sample making machine can be used to complete the time feedback and the behavior recognition method of the simultaneous monitoring video.

[0032] The coal sample preparation machine monitoring system of the present invention mainly monitors the corresponding nodes from the start of sample collection and the external scenes that can be monitored by the coal sample preparation machine equipment through video monitoring; the data is obtained by obtaining the real-time operation data of the coal sample preparation machine, which may include the operation data and real-time status of the robot, coal sample conveying device, crusher, adjustable shrinking machine, automatic pulverizing machine, automatic sample loading machine, automatic sample bottle feeding machine, waste material conveying and recycling device, etc., and the corresponding fault warning rules are set to monitor the operation status of the coal sample preparation machine in real time. For details, see Figure 1 The specific application process of the coal sample preparation machine monitoring system of the present invention is as follows:

[0033] The real-time operation data of the coal sample making machine is monitored through data monitoring equipment, including the entry of sampling codes during coal sample transportation, generation of corresponding sample making codes, real-time monitoring of coal sample making machine operation data, operation status detection and fault alarm monitoring, etc. The process data of coal sample feeding, crushing, screening, blending, reduction and drying are transmitted to the data table on the visualization page of the processing terminal through the interface, which is convenient for monitoring the sample making process.

[0034] Through video surveillance equipment, the external visible scene is monitored, the coal sample delivery status is monitored in real time, the situation of inadequate coal sample delivery due to equipment problems during the delivery process is detected and analyzed, and the impact on the equipment is analyzed. The machine errors in the process are identified and captured, and the feedback is fed back to the fault alarm for processing by the operator. For example, when monitoring the pouring of coal samples, due to the high humidity of the coal samples or other factors, the coal samples in the original coal sample barrel cannot be poured out completely, and human intervention or other methods are required to enable the coal samples to be completely poured out, thereby reducing the impact on the accuracy of coal sample testing due to errors in the sample preparation operation.

[0035] The comprehensive use of data monitoring and video monitoring can reflect in real time the impact of coal sample barrel transportation during the sample preparation process in video monitoring. The inability of coal samples to be completely poured out of the sample barrel due to various factors can be monitored from the video, and the robot status can be monitored. If necessary, the robot pouring data can be redesigned to ensure that the coal sample completely enters the sample preparation machine for sample preparation; in the crushing, screening, blending, reduction and drying links, the coal sample preparation machine can obtain the operating data of the relevant links and the final sample weight, and perform correlation calculations through the coal sample humidity, number of pouring times, coal sample transportation operating parameters, crusher and reducer parameters (crushing times and reduction times), and compare the real-time generated sample weight, so as to optimize the preset parameters of the sample preparation equipment, solve the problem of human control of sample quality, and improve sample preparation efficiency and accuracy.

[0036] In another embodiment of the present invention, a coal sampling machine monitoring method based on the above-mentioned coal sampling machine monitoring system is provided, comprising the following steps: obtaining coal sample information and real-time operation data of the coal sampling machine through a data monitoring device, and sending them to a processing terminal; obtaining an external scene monitoring video of the coal sampling machine through a video monitoring device, and sending them to a processing terminal; obtaining preset operation parameters of the coal sampling machine based on the coal sample information through the processing terminal and sending them to the coal sampling machine; generating operation monitoring information of the coal sampling machine based on the real-time operation data and preset operation parameters of the coal sampling machine through the processing terminal and visually displaying it; and visually displaying the external scene monitoring video of the coal sampling machine through the processing terminal.

[0037] Specifically, the coal sample making machine monitoring method of the present invention monitors the operating status of the coal sample making machine, and through data feedback, promptly handles fault problems in the sample making process to ensure sample making efficiency; during the operation of the coal sample making machine, by monitoring each link, the external scene monitoring video is obtained for the visible part to monitor, which can effectively reduce the loss of parts of the equipment itself and avoid the influence of external factors on the equipment service life, thereby effectively saving equipment costs and ensuring the smooth progress of the sample making link.

[0038] The above content is only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A coal sample preparation machine monitoring system, characterized in that: It includes data monitoring equipment, video monitoring equipment and processing terminal. One end of the data monitoring equipment is connected to the processing terminal and the other end is connected to the coal sample making machine. The video monitoring equipment is connected to the processing terminal. The data monitoring equipment is used to obtain coal sample information and real-time operation data of the coal sample preparation machine and send them to the processing terminal; The video monitoring equipment is used to obtain external scene monitoring video of the coal sample making machine and send it to the processing terminal; The processing terminal is used to obtain the preset operating parameters of the coal sample preparation machine based on the coal sample information and send them to the coal sample preparation machine; and generating and visually displaying operation monitoring information of the coal sample making machine based on the real-time operation data and preset operation parameters of the coal sample making machine; and visually displaying the external scene monitoring video of the coal sample making machine; A coal sample humidity plan formulation module is provided in the processing terminal; The coal sample humidity program formulation module is used to obtain the humidity of the current coal sample based on the coal sample information; and obtain the sample amount collected before sample preparation, the sample amount obtained by sample preparation, the sample amount discarded after sample preparation, the sample preparation time, and the real-time operation data of the coal sample preparation machine of the current coal sample to obtain the sample preparation data of the current coal sample; and obtain the sample preparation data of historical coal samples with the same humidity as the current coal sample, and obtain the optimal operation data of the coal sample preparation machine under the humidity of the current coal sample based on the sample preparation data of the current coal sample and the sample preparation data of historical coal samples with the same humidity as the current coal sample, and use the preset operation parameters of the coal sample preparation machine for the coal sample with this humidity; The external scene monitoring video includes coal sample transportation monitoring video, robot operation monitoring video, robot sample pouring monitoring video, sample collection monitoring video and waste material transportation monitoring video.

2. The coal sample preparation machine monitoring system according to claim 1, characterized in that: A fault alarm module is provided in the processing terminal, and the fault alarm module is used to generate operation fault alarm information of the coal sampling machine according to the real-time operation data of the coal sampling machine and preset fault warning rules.

3. The coal sample preparation machine monitoring system according to claim 2, characterized in that: The operation fault alarm information includes alarm information and fault problem information.

4. The coal sample preparation machine monitoring system according to claim 3, characterized in that: Also included are several mobile terminals, all of which are connected to the processing terminal; The processing terminal is also used to send the operation failure alarm information of the coal sample preparation machine to several mobile terminals; The mobile terminal is used to receive the operation fault alarm information, issue an alarm in response to the alarm information, and visually display the fault problem information.

5. The coal sample preparation machine monitoring system according to claim 1, characterized in that: The real-time operating data of the coal sampling machine includes the number of times the robot pours samples, the operating parameters of the coal sample conveying device, the number of crushing times of the crusher, the number of reduction times of the reducer, the operating parameters of the automatic powder making machine, the operating parameters of the automatic sample loading machine, the operating parameters of the automatic sample bottle feeding machine, and the operating parameters of the waste material conveying and recovery device.

6. A coal sample preparation machine monitoring method based on the coal sample preparation machine monitoring system according to claim 1, characterized in that: include: Obtain coal sample information and real-time operation data of the coal sample preparation machine through data monitoring equipment and send them to the processing terminal; Obtain external scene monitoring video of the coal sample making machine through video monitoring equipment and send it to the processing terminal; The processing terminal obtains the preset operating parameters of the coal sample preparation machine according to the coal sample information and sends them to the coal sample preparation machine; Generate and visualize the operation monitoring information of the coal sample making machine based on the real-time operation data and preset operation parameters of the coal sample making machine through the processing terminal; The external scene monitoring video of the coal sample making machine is visualized and displayed through the processing terminal.

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