Coal mine underground coal slime weighing and transferring monitoring control system based on internet of things

By analyzing the losses and influencing factors in the coal slime weighing and transfer process through the Internet of Things system, the problems of error and inaccuracy in the coal slime weighing and transfer process were solved, and efficient and accurate coal slime weighing and transfer control was achieved.

CN117775782BActive Publication Date: 2026-05-12SHENYANG COAL SCI RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENYANG COAL SCI RES INST CO LTD
Filing Date
2023-12-28
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

Existing technologies for weighing and transferring coal slime in underground coal mines suffer from problems such as large errors in assessing coal slime loss, inaccurate weighing instrument displays, and failure to fully analyze coal slime viscosity and the breakage degree of the feeding hopper, leading to resource waste and inaccurate weighing.

Method used

An IoT-based coal slime weighing and transfer monitoring and control system is adopted in coal mines. Through the information transmission, weighing area and material feeding information acquisition and analysis modules, combined with cloud database, the system analyzes conveyor belt loss, abnormal display of weighing instruments and damage of material feeding hopper, and calculates the required weight of coal slime in the feeding area.

Benefits of technology

It achieves precision and safety in the coal slime weighing and transfer process, reduces resource waste, improves the reliability of the weighing instrument and the accuracy of the final analysis results, and provides multi-dimensional data support.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of coal mine underground coal slime weighing and transferring monitoring control, and specifically discloses a coal mine underground coal slime weighing and transferring monitoring control system based on the Internet of Things, which comprises a transmission information collection and analysis module, a weighing area information collection and analysis module, a discharging information collection and analysis module, a current information collection module, a current required to-be-transmitted coal slime confirmation module and a cloud database; the present application confirms the required to-be-transmitted coal slime weight by analyzing the corresponding comprehensive coal slime loss coefficient of the transmission belt, the display abnormality evaluation index of the target weighing instrument and the corresponding comprehensive coal slime loss coefficient of the discharging process, and combining the humidity of the coal slime and the damage information of the discharging funnel, directly displays the loss condition of the coal slime and the factors affecting the coal slime loss, and ensures that the required to-be-transmitted coal slime weight of the corresponding feeding area can meet the demand of the transferred coal slime weight, so that the whole coal slime weighing and transferring process can be accurately and efficiently executed.
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Description

Technical Field

[0001] This invention relates to the field of coal slime weighing, transfer monitoring and control technology in underground coal mines, and more specifically, to an Internet of Things-based coal slime weighing, transfer monitoring and control system for underground coal mines. Background Technology

[0002] Weighing and transferring coal slime underground is a crucial step in coal mine production. By analyzing the coal slime loss at each stage of the process, it is possible to ensure that the coal slime weight reaches the required weight for transfer. Monitoring and controlling the weighing and transferring process of coal slime underground can significantly improve production efficiency and reduce production costs. Therefore, the importance of monitoring and controlling the weighing and transferring process of coal slime underground is self-evident.

[0003] The existing monitoring and control methods for coal slime weighing and transfer in underground coal mines still have the following problems: 1. Only the coal slime loss in the entire process is analyzed, without analyzing the coal slime loss in each step of the coal slime weighing and transfer process in underground coal mines. This results in a large error in the coal slime loss assessment results for the entire process, making it impossible to accurately understand the coal slime loss situation. This reduces the accuracy of confirming the required weight of coal slime to be transferred in the current target process, and thus increases unnecessary resource waste.

[0004] 2. The display status of the weighing instrument was not analyzed, that is, the abnormal display status of the target weighing instrument was not analyzed, which made it impossible to guarantee the display accuracy of the weighing instrument. As a result, the final analysis results had defects such as low accuracy and poor rationality, which reduced the working reliability of the weighing instrument.

[0005] 3. The current target process did not analyze the condition of the coal slime and the feeding hopper. Specifically, the viscosity of the coal slime and the damage of the feeding hopper were not analyzed. Therefore, it was impossible to consider the factors that caused changes in the coal slime loss from multiple perspectives and dimensions, and thus it was impossible to provide effective data support for confirming the required weight of coal slime to be transferred in the feeding area during the current target process. Summary of the Invention

[0006] In view of this, in order to solve the problems mentioned in the background technology, a coal slime weighing and transfer monitoring and control system based on the Internet of Things is proposed.

[0007] The objective of this invention can be achieved through the following technical solution: This invention provides an IoT-based monitoring and control system for weighing and transferring coal slime in underground coal mines, comprising: a transmission information acquisition and analysis module, used to record the target coal slime weighing and transferring process as the target process, monitor the weight of the coal slime to be transferred in the feeding area and the weight of the coal slime to be weighed in the feeding hopper of the weighing area during each conveyor belt transfer in the target process, and analyze the comprehensive coal slime loss coefficient corresponding to the conveyor belt transfer in the target process. .

[0008] The weighing area information acquisition and analysis module is used to collect the displayed values ​​of the target weighing instrument during each weighing process and analyze the display anomaly assessment index of the target weighing instrument during the process. .

[0009] The material feeding information acquisition and analysis module is used to collect the weight of coal slime to be transferred in the target transfer vehicle during each feeding process, and to analyze the comprehensive coal slime loss coefficient corresponding to the feeding process during the target process. .

[0010] The current information acquisition module is used to extract the required coal slime weight for the current target process, and to collect the moisture content of the coal slime in the feeding area of ​​the current target process and the damage information of the discharge hopper in the weighing area.

[0011] The required coal slime confirmation module is used to calculate the viscosity of the coal slime in the feeding zone of the current target process. The breakage degree corresponding to the feeding hopper in the weighing area This allows us to determine the required weight of coal slime to be transferred in the feeding area during the current target process.

[0012] The cloud database is used to store the unit conveyor belt coal slime loss coefficient, the unit display anomaly assessment index, and the compensation coal slime weight corresponding to the unit feeding process coal slime loss coefficient. It also stores the compensation coal slime weight corresponding to the unit coal slime viscosity and the unit feeding hopper breakage degree.

[0013] Specifically, the comprehensive coal slime loss coefficient corresponding to the conveyor belt transport during the target process is analyzed as follows: A1. The weight of the coal slime to be transported in the feeding area and the weight of the coal slime to be weighed in the feeding hopper of the weighing area during each conveyor belt transport in the target process are respectively recorded as follows: and ,in, Indicates the number transmitted by the transmission belt. .

[0014] A2. Calculate the coal slime loss coefficient for each conveyor belt transport operation. .

[0015] A3. Compare the coal slime loss coefficient corresponding to each conveyor belt transmission with the coal slime loss coefficient corresponding to the set reference conveyor belt transmission. If the coal slime loss coefficient corresponding to a certain conveyor belt transmission is greater than or equal to the coal slime loss coefficient corresponding to the set reference conveyor belt transmission, then the conveyor belt transmission is determined to be an abnormal transmission, and the number of abnormal transmissions is counted and recorded as follows. .

[0016] A4. Extract the maximum value from the coal slime loss coefficient corresponding to each conveyor belt transport, and denot it as... .

[0017] A5. Calculation of the comprehensive coal slime loss coefficient corresponding to the conveyor belt transport during the target process. , ,in, , and These represent the percentage of coal slime loss, the percentage of abnormal transmissions, and the coal slime loss coefficient, respectively, as set as references. and These represent the weighted proportions of the overall coal slime loss assessment corresponding to the set proportions of coal slime loss, the proportion of abnormal transmissions, and the coal slime loss coefficient, respectively. Indicates the number of items transmitted by the transmission belt.

[0018] Specifically, the formula for calculating the coal slime loss coefficient corresponding to each conveyor belt transport is as follows: ,in, This indicates the deviation of the set allowable coal slime loss amount.

[0019] Specifically, the analysis process of the display anomaly evaluation index corresponding to the target weighing instrument during the target analysis process is as follows: B1. The difference between the display value of the target weighing instrument and the weight of the coal slime to be weighed in the feeding hopper of the weighing area during each weighing is calculated to obtain the display deviation of the target weighing instrument during each weighing.

[0020] B2. Construct a numerical display deviation growth curve for the target weighing instrument, with the number of weighings as the x-axis and the numerical display deviation as the y-axis. Locate the slope value from this curve as the growth rate of the target weighing instrument's numerical display deviation, and label it as... .

[0021] B3. Setting the influencing factor of the growth rate of the numerical display deviation of the target weighing instrument. .

[0022] B4. Evaluation index of display anomaly of the target weighing instrument during the target calculation process. , ,in, The value set as the reference indicates the deviation growth rate.

[0023] Specifically, the process for setting the influencing factor of the numerical display deviation growth rate of the target weighing instrument is as follows: C1. Using the set reference numerical display deviation growth rate as the slope, construct a reference baseline in the numerical display deviation growth curve of the target weighing instrument, and locate the number of weighings above the reference baseline from the numerical display deviation growth curve of the target weighing instrument, and take this as the deviation weighing number, denoted as . .

[0024] C2. Locate the amplitude of the numerical display deviation and the total number of weighings from the numerical display deviation growth curve of the target weighing instrument, and record them as follows: and .

[0025] C3. Calculate the influencing factor of the growth rate of the numerical display deviation of the target weighing instrument. , ,in, and These represent the percentage of weighings used to set the reference deviation and the magnitude of the displayed deviation, respectively. and These represent the percentage of weighings with the set deviation and the percentage weight of the factor affecting the growth rate of the numerically displayed deviation, respectively. Represents the natural constant.

[0026] Specifically, the comprehensive coal slime loss coefficient corresponding to the feeding process in the target process is analyzed as follows: D1. Compare the weight of the coal slime to be transferred in the target transfer vehicle and the weight of the coal slime to be weighed in the feeding hopper of the weighing area at each feeding stage in the target process to obtain the coal slime loss weight corresponding to each feeding stage, and record it as... ,in, This indicates the number representing the material feeding process. .

[0027] D2. Extract the maximum value from the coal slime loss weight corresponding to each feeding process, and record it as: .

[0028] D3. Calculate the comprehensive coal slime loss coefficient corresponding to the feeding process during the target process. , ,in, and These represent the percentage of total coal slime loss and the weight of coal slime loss corresponding to the feeding process set as a reference, respectively. and These represent the percentage of total coal slime loss corresponding to the set feeding process and the weight of the coal slime loss corresponding to the comprehensive coal slime loss assessment percentage of the feeding process, respectively. Indicates the number of times the material is fed.

[0029] Specifically, the damage information includes the number of damaged areas and the damaged area of ​​each damaged area.

[0030] Specifically, the calculation of the viscosity of the coal slime in the feeding zone of the current target process is as follows: E1, the moisture content of the coal slime in the feeding zone of the current target process is denoted as... .

[0031] E2. Calculate the viscosity of the coal slime in the feeding zone of the current target process. , ,in, This indicates the set reference humidity level for the coal slime.

[0032] Specifically, the calculation of the breakage degree corresponding to the feeding funnel of the weighing zone of the current target process is as follows: F1, extract the number of broken points and the broken area of ​​each broken point corresponding to the feeding funnel of the weighing zone of the current target process from the breakage information.

[0033] F2. Sum the damaged areas of each damaged point corresponding to the feeding funnel in the weighing zone of the current target process to obtain the total damaged area, denoted as . .

[0034] F3. Record the number of broken points corresponding to the feeding funnel in the weighing zone of the current target process as follows: .

[0035] F4. Calculate the breakage degree of the feeding hopper in the weighing zone of the current target process. , ,in, and These represent the damaged area and the number of damaged points used as a reference, respectively. and These represent the weighting of the damage assessment percentage corresponding to the set damaged area and the number of damaged points, respectively.

[0036] Specifically, the process for confirming the required weight of coal slime to be transferred corresponding to the feeding area in the current target process is as follows: G1, record the required weight of coal slime to be transferred corresponding to the current target process as... .

[0037] G2. Extract the unit conveyor belt coal slime loss coefficient, unit display anomaly assessment index, and unit feeding process coal slime loss coefficient corresponding to the compensation coal slime weight from the cloud database, and record them as follows: , and The compensation coal slime weight corresponding to the unit coal slime viscosity and the unit feed hopper breakage degree is extracted and recorded as follows: and .

[0038] G3, will The value is used as the required weight of coal slime to be transferred in the feeding area during the current target process.

[0039] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention analyzes the comprehensive coal slime loss coefficient corresponding to the conveyor belt transmission, the display anomaly evaluation index corresponding to the target weighing instrument, and the comprehensive coal slime loss coefficient corresponding to the feeding process. At the same time, it combines the humidity of the coal slime in the material area and the damage information corresponding to the feeding funnel to confirm the required coal slime weight to be transferred in the current target process. It intuitively shows the coal slime loss situation and the factors affecting coal slime loss during the coal slime weighing and transfer process in the target coal mine, ensuring that the required coal slime weight to be transferred in the feeding area can meet the required coal slime weight, so that the entire coal slime weighing and transfer process can be executed accurately, efficiently and safely.

[0040] (2) This invention analyzes the coal slime loss in the conveyor belt transport process, coal slime weighing process and feeding process of coal slime in underground coal mines, reduces the error in the coal slime loss assessment results of the whole process, and makes the coal slime loss situation more accurate. This improves the accuracy of confirming the required coal slime weight to be transported in the current target process, thereby reducing unnecessary resource waste, and provides a direction for the adjustment and improvement of the required coal slime weight to be transported in the subsequent feeding area.

[0041] (3) This invention collects the display values ​​of the target weighing instrument during each weighing and analyzes the display anomaly evaluation index of the target weighing instrument during the target process, thereby ensuring the display accuracy of the weighing instrument and improving the accuracy and rationality of the final analysis results. At the same time, it improves the working reliability of the weighing instrument and ensures to the greatest extent that the weight of the transferred coal slime reaches the required weight of the transferred coal slime, meets the transfer requirements, and improves the plasticity of coal slime weighing and transfer monitoring and control in underground coal mines.

[0042] (4) This invention collects the humidity of coal slime in the feeding area of ​​the current target process and the damage information of the feeding hopper in the weighing area, calculates the viscosity of coal slime in the feeding area of ​​the current target process and the damage degree of the feeding hopper in the weighing area, and considers the factors that cause changes in coal slime loss from multiple aspects and dimensions, thereby providing effective data support for confirming the required weight of coal slime to be transported in the feeding area of ​​the current target process, reducing the impact of the viscosity of coal slime sticking to the conveyor belt in the transmission process, and reducing the waste of coal slime caused by the damage of the feeding hopper in the feeding process. Attached Figure Description

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of the system module structure connection of the present invention.

[0045] Figure 2 This is a schematic diagram of the coal slime weighing and transfer process in underground coal mines according to the present invention.

[0046] Attached diagrams: 1. Feeding area; 2. Conveyor belt; 3. Weighing area; 4. Discharge hopper; 5. Target transfer vehicle. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] Please see Figure 1 As shown, the present invention provides an IoT-based monitoring and control system for weighing and transferring coal slime in underground coal mines, including: a transmission information acquisition and analysis module, a weighing area information acquisition and analysis module, a material feeding information acquisition and analysis module, a current information acquisition module, a current required coal slime confirmation module, and a cloud database.

[0049] The transmission information acquisition and analysis module, weighing area information acquisition and analysis module, material feeding information acquisition and analysis module, current information acquisition module, and cloud database are all connected to the current required coal slime confirmation module.

[0050] Please see Figure 2 As shown, the transmission information acquisition and analysis module is used to record the coal slime weighing and transfer process in the target coal mine as the target process, monitor the weight of the coal slime to be transferred in the feeding area and the weight of the coal slime to be weighed in the feeding hopper of the weighing area during each conveyor belt transfer in the target process, and analyze the comprehensive coal slime loss coefficient corresponding to the conveyor belt transfer in the target process. .

[0051] It should be noted that the weight of the coal slime to be transported in the feeding area and the weight of the coal slime to be weighed in the discharge hopper of the weighing area are respectively monitored by the weight sensors installed in the feeding area and the discharge hopper of the weighing area.

[0052] In a specific embodiment of the present invention, the comprehensive coal slime loss coefficient corresponding to the conveyor belt transmission during the analysis target process is specifically analyzed as follows: A1. The weight of the coal slime to be transported in the feeding area and the weight of the coal slime to be weighed in the feeding hopper of the weighing area corresponding to each conveyor belt transmission during the target process are respectively recorded as follows: and ,in, Indicates the number transmitted by the transmission belt. .

[0053] A2. Calculate the coal slime loss coefficient for each conveyor belt transport operation. .

[0054] In a specific embodiment of the present invention, the formula for calculating the coal slime loss coefficient corresponding to each conveyor belt transport is as follows: ,in, This indicates the deviation of the set allowable coal slime loss amount.

[0055] A3. Compare the coal slime loss coefficient corresponding to each conveyor belt transmission with the coal slime loss coefficient corresponding to the set reference conveyor belt transmission. If the coal slime loss coefficient corresponding to a certain conveyor belt transmission is greater than or equal to the coal slime loss coefficient corresponding to the set reference conveyor belt transmission, then the conveyor belt transmission is determined to be an abnormal transmission, and the number of abnormal transmissions is counted and recorded as follows. .

[0056] A4. Extract the maximum value from the coal slime loss coefficient corresponding to each conveyor belt transport, and denot it as... .

[0057] A5. Calculation of the comprehensive coal slime loss coefficient corresponding to the conveyor belt transport during the target process. , ,in, , and These represent the percentage of coal slime loss, the percentage of abnormal transmissions, and the coal slime loss coefficient, respectively, as set as references. and These represent the weighted proportions of the overall coal slime loss assessment corresponding to the set proportions of coal slime loss, the proportion of abnormal transmissions, and the coal slime loss coefficient, respectively. Indicates the number of items transmitted by the transmission belt.

[0058] The weighing area information acquisition and analysis module is used to collect the displayed values ​​of the target weighing instrument during each weighing process and analyze the display anomaly assessment index of the target weighing instrument during the target process. .

[0059] It should be noted that the displayed values ​​of the target weighing instrument during each weighing process are collected from the background management system of the target weighing instrument.

[0060] In a specific embodiment of the present invention, the analysis process of the display anomaly evaluation index corresponding to the target weighing instrument during the target analysis process is as follows: B1. The difference between the display value of the target weighing instrument and the weight of the coal slime to be weighed in the feeding funnel of the weighing area during each weighing is calculated to obtain the display deviation of the target weighing instrument during each weighing.

[0061] B2. Construct a numerical display deviation growth curve for the target weighing instrument, with the number of weighings as the x-axis and the numerical display deviation as the y-axis. Locate the slope value from this curve as the growth rate of the target weighing instrument's numerical display deviation, and label it as... .

[0062] B3. Setting the influencing factor of the growth rate of the numerical display deviation of the target weighing instrument. .

[0063] In a specific embodiment of the present invention, the process of setting the influencing factor of the numerical display deviation growth rate of the target weighing instrument is as follows: C1. Using the set reference numerical display deviation growth rate as the slope, construct a reference baseline in the numerical display deviation growth curve of the target weighing instrument, and locate the number of weighings above the reference baseline from the numerical display deviation growth curve of the target weighing instrument, and take them as the deviation weighing number, denoted as . .

[0064] C2. Locate the amplitude of the numerical display deviation and the total number of weighings from the numerical display deviation growth curve of the target weighing instrument, and record them as follows: and .

[0065] C3. Calculate the influencing factor of the growth rate of the numerical display deviation of the target weighing instrument. , ,in, and These represent the percentage of weighings used to set the reference deviation and the magnitude of the displayed deviation, respectively. and These represent the percentage of weighings with the set deviation and the percentage weight of the factor affecting the growth rate of the numerically displayed deviation, respectively. Represents the natural constant.

[0066] B4. Evaluation index of display anomaly of the target weighing instrument during the target calculation process. , ,in, The value set as the reference indicates the deviation growth rate.

[0067] This invention, through collecting the displayed values ​​of the target weighing instrument during each weighing process and analyzing the display anomaly evaluation index of the target weighing instrument, ensures the display accuracy of the weighing instrument, thereby improving the accuracy and rationality of the final analysis results. It also enhances the operational reliability of the weighing instrument, ensuring to the greatest extent possible that the weight of the transferred coal slime reaches the required weight, thus meeting the transfer requirements and improving the flexibility of monitoring and control of coal slime weighing and transfer in underground coal mines.

[0068] The material feeding information acquisition and analysis module is used to collect the weight of coal slime to be transferred in the target transfer vehicle during each feeding process in the target process, and to analyze the comprehensive coal slime loss coefficient corresponding to the feeding process in the target process. .

[0069] It should be noted that the weight of the coal slurry to be transferred in the target transfer vehicle is obtained by a weight sensor installed in the target transfer vehicle.

[0070] In a specific embodiment of the present invention, the comprehensive coal slime loss coefficient corresponding to the feeding process in the target process is analyzed as follows: D1. The weight of the coal slime to be transferred in the target transfer vehicle and the weight of the coal slime to be weighed in the feeding hopper of the weighing area are compared at each feeding stage in the target process to obtain the coal slime loss weight corresponding to each feeding stage, and recorded as follows: ,in, This indicates the number representing the material feeding process. .

[0071] D2. Extract the maximum value from the coal slime loss weight corresponding to each feeding process, and record it as: .

[0072] D3. Calculate the comprehensive coal slime loss coefficient corresponding to the feeding process during the target process. , ,in, and These represent the percentage of total coal slime loss and the weight of coal slime loss corresponding to the feeding process set as a reference, respectively. and These represent the percentage of total coal slime loss corresponding to the set feeding process and the weight of the coal slime loss corresponding to the comprehensive coal slime loss assessment percentage of the feeding process, respectively. Indicates the number of times the material is fed.

[0073] This invention analyzes the coal slime loss during the conveyor belt transport, weighing, and unloading processes of coal slime in underground coal mines. This reduces the error in the overall coal slime loss assessment, enabling a more accurate understanding of the coal slime loss. This improves the accuracy of confirming the required weight of coal slime to be transported in the current target process, thereby reducing unnecessary resource waste. Furthermore, it provides direction for adjusting and improving the required weight of coal slime to be transported in subsequent feeding areas.

[0074] The current information acquisition module is used to extract the required coal slime weight for the current target process, and to collect the moisture content of the coal slime in the feeding area of ​​the current target process and the damage information of the discharge hopper in the weighing area.

[0075] It should be noted that the required coal slime weight for the current target process is extracted from the target coal mine weighing and transfer management backend, the humidity of the coal slime in the feeding area is collected by a humidity sensor installed in the feeding area, and the damage information of the discharge hopper in the weighing area is collected by a camera installed in the weighing area.

[0076] The module for confirming the coal slime to be transferred is used to calculate the viscosity of the coal slime in the feeding area of ​​the current target process. The breakage degree corresponding to the feeding hopper in the weighing area This allows us to determine the required weight of coal slime to be transferred in the feeding area during the current target process.

[0077] In a specific embodiment of the present invention, the damage information includes the number of damaged locations and the damaged area of ​​each damaged location.

[0078] In a specific embodiment of the present invention, the calculation of the viscosity of the coal slime in the feeding zone of the current target process is specifically as follows: E1, the moisture content of the coal slime in the feeding zone of the current target process is denoted as... .

[0079] E2. Calculate the viscosity of the coal slime in the feeding zone of the current target process. , ,in, This indicates the set reference humidity level for the coal slime.

[0080] In a specific embodiment of the present invention, the specific calculation process for calculating the breakage degree corresponding to the feeding funnel of the weighing zone of the current target process is as follows: F1, extract the number of broken points and the breakage area of ​​each broken point corresponding to the feeding funnel of the weighing zone of the current target process from the breakage information.

[0081] F2. Sum the damaged areas of each damaged point corresponding to the feeding funnel in the weighing zone of the current target process to obtain the total damaged area, denoted as . .

[0082] F3. Record the number of broken points corresponding to the feeding funnel in the weighing zone of the current target process as follows: .

[0083] F4. Calculate the breakage degree of the feeding hopper in the weighing zone of the current target process. , ,in, and These represent the damaged area and the number of damaged points used as a reference, respectively. and These represent the weighting of the damage assessment percentage corresponding to the set damaged area and the number of damaged points, respectively.

[0084] This invention collects the moisture content of coal slime in the feeding zone of the current target process and the damage information of the discharge hopper in the weighing zone. It calculates the viscosity of the coal slime in the feeding zone and the damage degree of the discharge hopper in the weighing zone. It considers the factors that cause changes in coal slime loss from multiple aspects and dimensions, thereby providing effective data support for confirming the required weight of coal slime to be transported in the feeding zone of the current target process. This reduces the impact of the viscosity of the coal slime sticking to the conveyor belt during the transport process and also reduces the waste of coal slime caused by the damage of the discharge hopper during the discharge process.

[0085] In a specific embodiment of the present invention, the process for confirming the required weight of coal slime to be transferred corresponding to the feeding area in the current target process is as follows: G1, record the required weight of coal slime to be transferred corresponding to the current target process as... .

[0086] G2. Extract the unit conveyor belt coal slime loss coefficient, unit display anomaly assessment index, and unit feeding process coal slime loss coefficient corresponding to the compensation coal slime weight from the cloud database, and record them as follows: , and The compensation coal slime weight corresponding to the unit coal slime viscosity and the unit feed hopper breakage degree is extracted and recorded as follows: and .

[0087] G3, will The value is used as the required weight of coal slime to be transferred in the feeding area during the current target process.

[0088] The cloud database is used to store the compensation coal slime weight corresponding to the unit conveyor belt coal slime loss coefficient, the unit display anomaly assessment index, and the unit feeding process coal slime loss coefficient, and to store the compensation coal slime weight corresponding to the unit coal slime viscosity and the unit feeding hopper breakage degree.

[0089] This invention analyzes the comprehensive coal slime loss coefficient corresponding to the conveyor belt transmission, the display anomaly assessment index corresponding to the target weighing instrument, and the comprehensive coal slime loss coefficient corresponding to the feeding process. It also combines the moisture content of the coal slime in the material area and the damage information corresponding to the feeding hopper to confirm the required weight of coal slime to be transferred in the current target process. This intuitively displays the coal slime loss situation and the factors affecting coal slime loss during the weighing and transfer process in the target coal mine, ensuring that the required weight of coal slime to be transferred in the feeding area meets the demand for coal slime transfer. This allows the entire coal slime weighing and transfer process to be executed accurately, efficiently, and safely.

[0090] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A coal mine underground coal slime weighing and transfer monitoring and control system based on the Internet of Things, characterized in that, include: The transmission information acquisition and analysis module is used to record the coal slime weighing and transfer process in the target coal mine as the target process. It monitors the weight of the coal slime to be transferred in the feeding area and the weight of the coal slime to be weighed in the feeding hopper of the weighing area during each conveyor belt transfer in the target process, and analyzes the comprehensive coal slime loss coefficient corresponding to the conveyor belt transfer in the target process. ; The weighing area information acquisition and analysis module is used to collect the displayed values ​​of the target weighing instrument during each weighing process and analyze the display anomaly assessment index of the target weighing instrument during the process. ; The material feeding information acquisition and analysis module is used to collect the weight of coal slime to be transferred in the target transfer vehicle during each feeding process, and to analyze the comprehensive coal slime loss coefficient corresponding to the feeding process during the target process. ; The current information acquisition module is used to extract the required coal slime weight for the current target process, and to collect the moisture content of the coal slime in the feeding area of ​​the current target process and the damage information of the discharge hopper in the weighing area. The required coal slime confirmation module is used to calculate the viscosity of the coal slime in the feeding zone of the current target process. The breakage degree corresponding to the feeding hopper in the weighing area This allows us to determine the required weight of coal slime to be transferred in the feeding area during the current target process. The cloud database is used to store the unit conveyor belt coal slime loss coefficient, the unit display anomaly assessment index, and the unit feeding process coal slime loss coefficient corresponding to the compensation coal slime weight, as well as the unit coal slime viscosity and the unit feeding hopper breakage corresponding to the compensation coal slime weight. The analysis of the comprehensive coal slime loss coefficient corresponding to the conveyor belt transport during the target process is as follows: A1. Record the weight of the coal slime to be transported in the feeding zone and the weight of the coal slime to be weighed in the unloading hopper of the weighing zone during each conveyor belt transport in the target process as follows: and ,in, Indicates the number transmitted by the transmission belt. ; A2. Calculate the coal slime loss coefficient for each conveyor belt transport operation. ; A3. Compare the coal slime loss coefficient corresponding to each conveyor belt transmission with the coal slime loss coefficient corresponding to the set reference conveyor belt transmission. If the coal slime loss coefficient corresponding to a certain conveyor belt transmission is greater than or equal to the coal slime loss coefficient corresponding to the set reference conveyor belt transmission, then the conveyor belt transmission is determined to be an abnormal transmission, and the number of abnormal transmissions is counted and recorded as follows. ; A4. Extract the maximum value from the coal slime loss coefficient corresponding to each conveyor belt transport, and denot it as... ; A5. Calculation of the comprehensive coal slime loss coefficient corresponding to the conveyor belt transport during the target process. , ,in, , and These represent the percentage of coal slime loss, the percentage of abnormal transmissions, and the coal slime loss coefficient, respectively, as set as references. and These represent the weighted proportions of the set coal slime loss percentage, the number of abnormal transmissions, and the coal slime loss coefficient corresponding to the overall coal slime loss assessment proportion of the transmission belt. Indicates the number of items transmitted via the transmission belt; The analysis process for the target weighing instrument's display anomaly assessment index during the target analysis process is as follows: B1. The difference between the displayed value of the target weighing instrument and the weight of the coal slime to be weighed in the feeding hopper of the weighing area during each weighing is obtained to obtain the display deviation of the target weighing instrument during each weighing. B2. Construct a numerical display deviation growth curve for the target weighing instrument, with the number of weighings as the x-axis and the numerical display deviation as the y-axis. Locate the slope value from this curve as the growth rate of the target weighing instrument's numerical display deviation, and label it as... ; B3. Setting the influencing factor of the growth rate of the numerical display deviation of the target weighing instrument. ; B4. Evaluation index of display anomaly of the target weighing instrument during the target calculation process. , ,in, The value set as the reference indicates the deviation growth rate; The specific setting process for the influencing factor of the deviation growth rate of the target weighing instrument is as follows: C1. Using the growth rate of the numerical deviation displayed as a reference as the slope, construct a reference baseline on the numerical deviation growth curve of the target weighing instrument. Locate the number of weighings above the reference baseline from the numerical deviation growth curve of the target weighing instrument, and record this as the deviation weighing number. ; C2. Locate the amplitude of the numerical display deviation and the total number of weighings from the numerical display deviation growth curve of the target weighing instrument, and record them as follows: and ; C3. Calculate the influencing factor of the growth rate of the numerical display deviation of the target weighing instrument. , ,in, and These represent the percentage of weighings used to set the reference deviation and the magnitude of the displayed deviation, respectively. and These represent the percentage of weighings with the set deviation and the percentage weight of the factor affecting the growth rate of the numerically displayed deviation, respectively. Represents the natural constant; The comprehensive coal slime loss coefficient corresponding to the feeding process in the analysis target process is analyzed in the following specific steps: D1. Compare the weight of the coal slime to be transferred in the target transfer vehicle and the weight of the coal slime to be weighed in the feeding hopper of the weighing area at each feeding stage during the target process to obtain the weight of coal slime loss corresponding to each feeding stage, and record it as follows: ,in, This indicates the number representing the material feeding process. ; D2. Extract the maximum value from the coal slime loss weight corresponding to each feeding process, and record it as: ; D3. Calculate the comprehensive coal slime loss coefficient corresponding to the feeding process during the target process. , ,in, and These represent the percentage of total coal slime loss and the weight of coal slime loss corresponding to the feeding process set as a reference, respectively. and These represent the percentage of total coal slime loss corresponding to the set feeding process and the weight of the coal slime loss corresponding to the comprehensive coal slime loss assessment percentage of the feeding process, respectively. Indicates the number of feeding processes.

2. The coal slime weighing and transfer monitoring and control system based on the Internet of Things as described in claim 1, characterized in that: The formula for calculating the coal slime loss coefficient corresponding to each conveyor belt transport is as follows: ,in, This indicates the deviation of the set allowable coal slime loss amount.

3. The IoT-based coal slime weighing and transfer monitoring control system for underground coal mines according to claim 1, characterized in that: The damage information includes the number of damaged areas and the area of ​​each damaged area.

4. The IoT-based coal slime weighing and transfer monitoring and control system for underground coal mines according to claim 3, characterized in that: The specific calculation process for determining the viscosity of the coal slime in the feeding zone of the current target process is as follows: E1. Record the moisture content of the coal slime in the feeding area of ​​the current target process as... ; E2. Calculate the viscosity of the coal slime in the feeding zone of the current target process. , ,in, This indicates the set reference humidity level for the coal slime.

5. A coal mine underground coal slime weighing and transfer monitoring and control system based on the Internet of Things as described in claim 4, characterized in that: The specific calculation process for determining the breakage degree of the material discharge hopper in the weighing zone of the current target process is as follows: F1. Extract the number of damaged points and the damaged area of ​​each damaged point from the damage information of the feeding hopper in the weighing zone of the current target process. F2. Sum the damaged areas of each damaged point corresponding to the feeding funnel in the weighing zone of the current target process to obtain the total damaged area, denoted as . ; F3. Record the number of broken points corresponding to the feeding funnel in the weighing zone of the current target process as follows: ; F4. Calculate the breakage degree of the feeding hopper in the weighing zone of the current target process. , ,in, and These represent the damaged area and the number of damaged points used as a reference, respectively. and These represent the weighting of the damage assessment percentage corresponding to the set damaged area and the number of damaged points, respectively.

6. A coal mine underground coal slime weighing and transfer monitoring and control system based on the Internet of Things as described in claim 5, characterized in that: The process for confirming the required weight of coal slime to be transferred in the feeding area during the current target process is as follows: G1, Record the required weight of coal slime to be transferred for the current target process as... ; G2. Extract the unit conveyor belt coal slime loss coefficient, unit display anomaly assessment index, and unit feeding process coal slime loss coefficient corresponding to the compensation coal slime weight from the cloud database, and record them as follows: , and The compensation coal slime weight corresponding to the unit coal slime viscosity and the unit feed hopper breakage degree is extracted and recorded as follows: and ; G3, will The value is used as the required weight of coal slime to be transferred in the feeding area during the current target process.