Crusher coal blockage early warning method and early warning device

Abstract

The invention discloses an early warning method and an early warning device for coal blockage of a crusher. The early warning method comprises the following steps: S1, acquiring a current signal of the crusher and coal flow rate information, coal accumulation information and adhesive layer thickness information in the crusher; s2, determining risk grade information of coal blockage of the crusher based on the current signal, the coal flow rate information, the coal accumulation information and the adhesive layer thickness information; and S3, a corresponding early warning signal is sent out based on the risk level information, and the crusher is correspondingly processed according to the early warning signal. According to the early warning method for coal blockage of the crusher, early warning can be performed in time at the early stage of coal blockage, and coal blockage is intervened, so that the risk of coal blockage at the later stage can be reduced, and the non-planned downtime caused by coal blockage can be shortened; meanwhile, the utilization rate of equipment can be increased, and the production efficiency is improved; the conditions of misjudgment and missing report are reduced; manual intervention is reduced, and labor cost is reduced.

Description

Technical Field

[0001] This invention relates to the field of crusher technology, and in particular to a method and method for early warning of coal blockage in crushers. Background Technology

[0002] Current anti-clogging technologies for crushers mainly employ single-sensor monitoring or mechanical anti-clogging structures, which suffer from significant drawbacks such as inaccurate detection and delayed response. Analysis of patents reveals existing technologies including current monitoring, mechanical flow monitoring, visual recognition, and manual inspection. Current monitoring relies solely on the current parameter, making it susceptible to interference from power grid fluctuations and equipment aging, leading to false alarms. Mechanical flow monitoring typically measures coal powder flow at the discharge port, identifying blockage when the flow rate falls below a set value. However, the flow meter itself is prone to contamination when coal powder has high moisture content, resulting in inaccurate measurements. Furthermore, abnormal flow usually indicates existing blockage, making this a reactive detection method, unable to provide early warning. Visual recognition solutions currently rely solely on analyzing coal flow differences, leading to misjudgments or delayed blockage detection. Manual inspection methods are costly in terms of human resources and are prone to significant human error. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a method for early warning of coal blockage in crushers. This method can provide timely warnings at the initial stage of coal blockage and intervene in the blockage, thereby reducing the risk of later-stage blockage and consequently reducing unplanned downtime caused by blockage. Simultaneously, it can improve equipment utilization and increase production efficiency; reduce the occurrence of misjudgments and missed reports; and reduce manual intervention and labor costs.

[0004] The present invention also proposes a crusher coal blockage early warning device.

[0005] According to a first aspect of the present invention, a method for early warning of coal blockage in a crusher includes: step S1, acquiring a crusher current signal and information on coal flow velocity, coal accumulation, and adhesive layer thickness in the crusher; step S2, confirming the risk level information of coal blockage in the crusher based on the current signal, the coal flow velocity information, the coal accumulation information, and the adhesive layer thickness information, wherein the risk level information is divided into three levels in order of severity from low to high: low risk level, medium risk level, and high risk level; step S3, issuing a corresponding early warning signal based on the risk level information, and the control system performing corresponding processing on the crusher according to the early warning signal.

[0006] According to the crusher coal blockage early warning method of the present invention, timely warnings can be issued in the early stages of coal blockage, and intervention can be carried out to reduce the risk of later coal blockage, thereby reducing unplanned downtime caused by coal blockage. Simultaneously, due to early warning and timely intervention, the crusher can operate in a more optimal state, thereby improving equipment utilization and production efficiency. Furthermore, the risk level information confirmation in this embodiment is not based on a single piece of information, but rather on the combined analysis of multiple pieces of information. This improves the accuracy of risk level determination and reduces the occurrence of misjudgments and missed reports. Additionally, since the above embodiment uses a control system to process the crusher according to the warning signal, i.e., preprocessing can be performed automatically after the warning, manual intervention can be further reduced, thereby lowering labor costs.

[0007] According to some embodiments of the present invention, step S2 includes: step S21, comparing the current signal information, the coal flow velocity information, the coal accumulation information, and the caking layer thickness information with current thresholds, flow velocity thresholds, coal accumulation thresholds, and caking layer thickness thresholds, respectively; step S22, if at least one of the current signal information, coal flow velocity information, coal accumulation information, and caking layer thickness information is greater than or equal to the corresponding threshold, calculating the current signal risk value, coal flow velocity risk value, coal accumulation risk value, and caking layer thickness risk value based on a preset early warning threshold calculation scheme; step S23, calculating a weighted risk value based on the current signal risk value, coal flow velocity risk value, coal accumulation risk value, and caking layer thickness risk value using a preset risk index weight library; and step S24, outputting risk level information based on the weighted risk value and a preset risk level classification library.

[0008] According to some embodiments of the present invention, step S3 includes: step S31, confirming that the risk level information is a low risk level; step S32, issuing a first alarm signal; and step S33, the control system automatically adjusting the feeding speed of the crusher.

[0009] According to some embodiments of the present invention, step S3 includes: step S31, confirming that the risk level information is a medium risk level; step S32, issuing a second alarm signal; and step S33, controlling the system to automatically open the material feeding lever.

[0010] According to some embodiments of the present invention, step S3 includes: step S31, confirming that the risk level information is a high risk level; step S32, issuing a third alarm signal; step S33, the control system automatically stops the operation of the crusher and starts the feeding rod.

[0011] According to some embodiments of the present invention, obtaining the coal flow rate information includes: obtaining the cross-sectional area inside the crusher; obtaining image information of the coal at the inlet and outlet positions of the crusher to confirm the time when the coal enters the crusher, the total volume entering, and the time when the coal is discharged from the outlet of the crusher.

[0012] According to some embodiments of the present invention, obtaining the coal accumulation information includes: obtaining image information of the coal within the monitoring area to confirm the accumulation location and accumulation range of the coal.

[0013] According to some embodiments of the present invention, obtaining the adhesive layer thickness information includes: obtaining image information of the coal in the monitoring area to obtain the thickness of the adhesive layer on the wall surface of the crusher in the monitoring area.

[0014] According to a second aspect of the present invention, a crusher coal blockage early warning device is used in accordance with the crusher coal blockage early warning method described in the first aspect. The early warning device includes: a plurality of cameras, the plurality of cameras being respectively arranged at the inlet position, the outlet position, and the inner wall of the crusher; a current sensor, the current sensor being connected to the motor of the crusher; and a lighting device, the lighting device being arranged on the inner wall of the crusher.

[0015] According to the crusher coal blockage early warning device of the present invention, by setting multiple cameras and current sensors, the early warning device can combine image recognition technology with current change analysis, thereby improving the accuracy of crusher coal blockage judgment.

[0016] According to some embodiments of the present invention, the early warning device further includes: a data acquisition module, used to acquire the crusher current signal, the coal flow velocity information in the crusher, the coal accumulation information, and the caking layer thickness information; a data analysis module, used to compare and analyze the current signal information, the coal flow velocity information, the coal accumulation information, and the caking layer thickness information with current thresholds, flow velocity thresholds, coal accumulation thresholds, and caking layer thickness thresholds, respectively; an index risk value calculation module, used to calculate the current signal risk value, the coal flow velocity risk value, the coal accumulation risk value, and the caking layer thickness risk value based on a preset early warning threshold calculation scheme; a weighted risk value calculation module, used to calculate a weighted risk value based on the current signal risk value, the coal flow velocity risk value, the coal accumulation risk value, and the caking layer thickness risk value, based on a preset risk index weight library; and an early warning module, used to output risk level information based on the weighted risk value and a preset risk level classification library, and issue a corresponding early warning signal.

[0017] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0018] Figure 1 This is a flowchart of a crusher coal blockage early warning method according to an embodiment of the present invention; Figure 2 This is a flowchart of step S2 of the crusher coal blockage early warning method according to an embodiment of the present invention; Figure 3 This is a flowchart of step S3 of the crusher coal blockage early warning method according to an embodiment of the present invention, wherein the risk fan information is of low risk level; Figure 4 This is a flowchart of step S3 of the crusher coal blockage early warning method according to an embodiment of the present invention, wherein the risk fan information is of medium risk level; Figure 5 This is a flowchart of step S3 of the crusher coal blockage early warning method according to an embodiment of the present invention, wherein the risk fan information is a high-risk level; Figure 6 This is a flowchart of a crusher coal blockage early warning method according to an embodiment of the present invention. Detailed Implementation

[0019] Embodiments of the present invention are described in detail below. Examples of these embodiments are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0020] The following is for reference. Figures 1-6 A method for early warning of coal blockage in a crusher according to a first aspect of the present invention is described.

[0021] like Figures 1-6 As shown, according to a first aspect embodiment of the present invention, a crusher coal blockage early warning method includes: Step S1: Obtain the crusher current signal, coal flow rate information, coal accumulation information, and clay layer thickness information in the crusher; specifically, obtain the crusher current signal, coal flow rate information, coal accumulation information, and clay layer thickness information in the crusher through the data acquisition module.

[0022] For example, the early warning device also includes a control system. A data acquisition module is located in the control system. The data acquisition module is communicatively connected to a current sensor installed on the power supply circuit of the main motor of the crusher, and is used to use the real-time current signal when the crusher is working. The data acquisition module is also communicatively connected to cameras installed at the inlet and outlet of the crusher and inside the crusher, and is used to receive and process the image information taken by the cameras, and then calculate the coal flow rate information, coal accumulation information and clay layer thickness information.

[0023] Step S2: Based on the current signal, coal flow rate information, coal accumulation information, and caking layer thickness information, confirm the risk level information of coal blockage in the crusher. The risk level information is divided into three levels according to the severity from low to high: low risk level, medium risk level, and high risk level. Specifically, the risk level can be determined by setting the current signal to exceed a first preset current value, a second preset current value, or a third preset current value; or by setting at least one corresponding first preset value, second preset value, or third preset value in the coal flow rate information, coal accumulation information, and caking layer thickness information. Alternatively, the risk level can be determined by weighted analysis.

[0024] It is understood that the risk level information in this embodiment is not determined by a single piece of information, but by a combination and analysis of multiple pieces of information. This can improve the accuracy of risk level determination and reduce the occurrence of misjudgments and omissions.

[0025] Step S3: Based on the risk level information, a corresponding early warning signal is issued, and the control system takes appropriate action on the crusher according to the early warning signal.

[0026] For example, when the risk level of coal blockage in the crusher is determined to be low based on the current signal, coal flow rate information, coal accumulation information, and caking layer thickness information, the alarm device can issue a first alarm signal, such as a yellow light warning. The control system then processes the signal accordingly, for example, by sending a signal to the crusher motor to reduce its speed, causing the crusher to automatically reduce its feed rate. When the risk level of coal blockage in the crusher is determined to be medium based on the current signal, coal flow rate information, coal accumulation information, and caking layer thickness information, the alarm device can issue a second alarm signal, such as a red light warning. The control system then processes the signal accordingly, for example, by controlling the material feeder to activate the cleaning mode. When the risk level of coal blockage in the crusher is determined to be high based on the current signal, coal flow rate information, coal accumulation information, and caking layer thickness information, the alarm device can issue a third alarm signal, such as a red light warning accompanied by an audible alarm. The control system then processes the signal accordingly, for example, by issuing a stop command to the crusher, after which manual or forceful unblocking can be performed using the material feeder.

[0027] Furthermore, it is understandable that since the risk level information is divided into three levels according to severity from low to high: low risk, medium risk, and high risk, this embodiment can provide timely warnings and interventions in the early stages of coal blockage. This reduces the risk of later coal blockages and consequently reduces unplanned downtime caused by them. Simultaneously, early warnings and timely interventions allow the crusher to operate in optimal condition, improving equipment utilization and thus increasing production efficiency. Moreover, since the above embodiment uses a control system to process the crusher based on the warning signal, pre-processing can be automated after the warning, further reducing manual intervention and thus lowering labor costs.

[0028] According to the crusher coal blockage early warning method of the present invention, timely warnings can be issued in the early stages of coal blockage, and intervention can be carried out to reduce the risk of later coal blockage, thereby reducing unplanned downtime caused by coal blockage. Simultaneously, due to early warning and timely intervention, the crusher can operate in a more optimal state, thereby improving equipment utilization and production efficiency. Furthermore, the risk level information confirmation in this embodiment is not based on a single piece of information, but rather on the combined analysis of multiple pieces of information. This improves the accuracy of risk level determination and reduces the occurrence of misjudgments and missed reports. Additionally, since the above embodiment uses a control system to process the crusher according to the warning signal, i.e., preprocessing can be performed automatically after the warning, manual intervention can be further reduced, thereby lowering labor costs.

[0029] According to some embodiments of the present invention, step S2 includes: Step S21 involves comparing the current signal information, coal flow velocity information, coal accumulation information, and clay layer thickness information with the current threshold, flow velocity threshold, coal accumulation threshold, and clay layer thickness threshold, respectively. The threshold is either the maximum or minimum value, representing the maximum or minimum value of the aforementioned indicators necessary for the crusher to operate normally. Specifically, the data analysis module can be used to compare and analyze the current signal information, coal flow velocity information, coal accumulation information, and clay layer thickness information with the current threshold, flow velocity threshold, coal accumulation threshold, and clay layer thickness threshold, respectively.

[0030] Step S22: If at least one of the current signal information, coal flow velocity information, coal accumulation information, and clay layer thickness information is greater than or equal to the corresponding threshold, calculate the risk value of the current signal, the risk value of the coal flow velocity, the risk value of the coal accumulation, and the risk value of the clay layer thickness based on a preset early warning threshold calculation scheme; where "at least one" means that if any of the above four indicators exceeds the corresponding threshold, it may be in a risky state. Specifically, the indicator risk value calculation module can be used to calculate the risk value of the current signal, the risk value of the coal flow velocity, the risk value of the coal accumulation, and the risk value of the clay layer thickness.

[0031] Step S23: Based on a pre-set risk indicator weight library, a weighted risk value is calculated using the current signal risk value, coal flow rate risk value, coal accumulation risk value, and clay layer thickness risk value. For example, when the current signal risk value exceeds the corresponding threshold, its risk value reaches 1. When only one of the coal flow rate information, coal accumulation information, and clay layer thickness information exceeds the corresponding first preset value, one of the coal flow rate risk value, coal accumulation risk value, and clay layer thickness risk value is 1, and the others are 0. In this case, the weighted risk value is 2, and the crusher can be determined to be at a low risk level. When at least two of the coal flow rate information, coal accumulation information, and clay layer thickness information exceed the corresponding first preset value, the weighted risk value reaches 3, and the crusher can be determined to be at a medium risk level. When at least one of the coal flow rate information, coal accumulation information, and clay layer thickness information exceeds the threshold, the weighted risk value reaches 4, and the crusher can be determined to be at a high risk level.

[0032] Specifically, the weighted risk value can be calculated through the weighted risk value calculation module.

[0033] Step S24: Output risk level information based on the weighted risk value and a pre-set risk level classification library. This allows for the comprehensive consideration of multiple factors, thereby improving the accuracy of risk level determination.

[0034] According to some embodiments of the present invention, step S3 includes: step S31, confirming that the risk level information is a low risk level; Step S32: Issue the first alarm signal; Step S33: The control system automatically adjusts the feed speed of the crusher.

[0035] Specifically, after the risk level information is output based on the weighted risk value and the preset risk level classification library, the early warning module can confirm it again with the preset target value, and then output the first alarm signal synchronously, such as a yellow light warning. At the same time, the alarm module inputs the risk level to the central control system. Based on the alarm signal, the control system automatically adjusts the speed of the crusher, and then adjusts the feed speed of the crusher.

[0036] It should be noted that a low risk level means that the risk of coal blockage in the crusher is relatively low, that is, it may only be a precursor to coal blockage. Therefore, by confirming that the risk level information is low risk, issuing the first alarm signal, and automatically adjusting the feed speed of the crusher, early warning and automatic handling can be achieved, thereby reducing unplanned downtime caused by coal blockage, reducing manual intervention, and lowering labor costs.

[0037] According to some embodiments of the present invention, step S3 includes: step S31, confirming the risk level information as medium risk; step S32, issuing a second alarm signal; and step S33, the control system automatically opening the material feed lever. Specifically, a medium risk level means that coal blockage exists but is not serious. In this case, by issuing a second alarm signal and automatically opening the material feed lever, the state of the coal inside the crusher is changed, so that the internal coal accumulation, jamming, or blockage is promptly alleviated and eliminated. This effectively avoids equipment overload, shutdown, or component damage caused by material blockage, improves the reliability and efficiency of crushing operations, and reduces equipment maintenance costs.

[0038] According to some embodiments of the present invention, step S3 includes: step S31, confirming the risk level information as high risk; step S32, issuing a third alarm signal; and step S33, the control system automatically stops the operation of the crusher and activates the material guide bar. Specifically, a high risk level means that the crusher is blocked by coal and cannot operate normally. At this time, the alarm device issues a third alarm signal and controls the crusher to stop, and then activates the material guide bar to clear the blockage in the crusher. Immediately stopping the machine when the risk level information is confirmed to be high risk can effectively avoid equipment overload and mechanical damage caused by coal blockage, thereby extending the service life of the equipment and reducing maintenance costs.

[0039] According to some embodiments of the present invention, obtaining coal flow velocity information includes: obtaining the cross-sectional area inside the crusher; obtaining image information of coal at the crusher inlet and outlet positions to confirm the time when coal enters the crusher, the total volume entering, and the time when coal exits the crusher outlet. The cross-sectional area can also be obtained in real-time from the internal image information, thus further improving the accuracy of the coal flow velocity information.

[0040] According to some embodiments of the present invention, obtaining coal accumulation information includes: acquiring image information of coal within a monitoring area to confirm the location and extent of the coal accumulation. Image information is relatively intuitive and readily available; therefore, by acquiring image information of coal within a monitoring area to confirm the location and extent of the coal accumulation and thus obtain coal accumulation information, the difficulty of acquisition can be reduced, and the economic efficiency of early warning can be improved.

[0041] According to some embodiments of the present invention, obtaining the adhesive layer thickness information includes: acquiring image information of coal within a monitoring area to obtain the thickness of the adhesive layer on the wall surface of the crusher within the monitoring area. Image information is relatively intuitive and easily obtained. Therefore, by acquiring image information of coal within a monitoring area to obtain the thickness of the adhesive layer on the wall surface of the crusher within the monitoring area, and thus obtaining the adhesive layer thickness information, the difficulty of acquisition can be reduced, and the economic efficiency of early warning can be improved.

[0042] It should be noted that the monitoring area can be a location prone to coal blockage, and the specific settings can be based on past experience.

[0043] According to a second aspect of the present invention, a crusher coal blockage early warning device is used in accordance with a crusher coal blockage early warning method according to a first aspect. The early warning device includes: multiple cameras, a current sensor, and a lighting device. The multiple cameras are respectively arranged at the inlet position, the outlet position, and the inner wall of the crusher; the current sensor is connected to the motor of the crusher; and the lighting device is arranged on the inner wall of the crusher.

[0044] Understandably, there are at least three cameras, with multiple cameras positioned at the top, middle, and discharge ports of the crusher's crushing chamber. This creates a multi-angle monitoring network that covers the entire crushing area, thereby improving the accuracy of data collection. Furthermore, the cameras can pinpoint coal blockages in detail, enabling precise handling.

[0045] The lighting equipment is positioned close to the camera and is mainly used to solve the problem of insufficient light inside the crusher. The lighting equipment can be LED supplementary lights.

[0046] The current sensor is mainly connected to the power supply circuit of the main motor of the crusher and is mainly used to collect the working current signal in real time.

[0047] According to the crusher coal blockage early warning device of the present invention, by setting multiple cameras and current sensors, the early warning device can combine image recognition technology with current change analysis, thereby improving the accuracy of crusher coal blockage judgment.

[0048] According to some embodiments of the present invention, the early warning device further includes: a data acquisition module, a data analysis module, an indicator risk value calculation module, a weighted risk value calculation module, and an early warning module.

[0049] The data acquisition module is used to acquire crusher current signals, coal flow rate information in the crusher, coal accumulation information, and clay layer thickness information. Specifically, the data acquisition module is mainly used to acquire current signals from the current sensor, image information of coal at the crusher inlet and outlet, and image information of coal within the monitoring area.

[0050] The data analysis module is used to compare and analyze the current signal information, coal flow velocity information, coal accumulation information, and clay layer thickness information with the current threshold, flow velocity threshold, coal accumulation threshold, and clay layer thickness threshold, respectively. Specifically, the data analysis module mainly compares whether the above information exceeds the corresponding threshold, or the difference between the above information and the corresponding threshold.

[0051] The indicator risk value calculation module calculates the current signal risk value, coal flow velocity risk value, coal accumulation risk value, and clay layer thickness risk value based on a preset early warning threshold calculation scheme. The weighted risk value calculation module calculates the weighted risk value based on the current signal risk value, coal flow velocity risk value, coal accumulation risk value, and clay layer thickness risk value, based on a preset risk indicator weight library. The early warning module outputs risk level information based on the weighted risk value and a preset risk level classification library, and issues corresponding early warning signals.

[0052] The above technical solution combines machine vision and current analysis with machine learning and automatic control technologies, thereby improving the intelligence level of the crusher.

[0053] Optionally, the early warning device may also include a data feedback system for providing feedback on the operating status of the crusher after processing.

[0054] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0055] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0056] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a communication connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0057] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0058] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for early warning of coal blockage in a crusher, characterized in that, include: Step S1: Obtain the crusher current signal and the coal flow rate information, coal accumulation information and caking layer thickness information in the crusher; Step S2: Based on the current signal, the coal flow rate information, the coal accumulation information, and the caking layer thickness information, confirm the risk level information of coal blockage in the crusher. The risk level information is divided into three levels in order of severity from low to high: low risk level, medium risk level, and high risk level. Step S3: Based on the risk level information, a corresponding early warning signal is issued, and the control system performs corresponding processing on the crusher according to the early warning signal.

2. The crusher coal blockage early warning method according to claim 1, characterized in that, Step S2 includes: Step S21: Compare the current signal information, the coal flow rate information, the coal accumulation information, and the clay layer thickness information with the current threshold, the flow rate threshold, the coal accumulation threshold, and the clay layer thickness threshold, respectively. Step S22: If at least one of the current signal information, the coal flow rate information, the coal accumulation information, and the clay layer thickness information is greater than or equal to the corresponding threshold, calculate the current signal risk value, the coal flow rate risk value, the coal accumulation risk value, and the clay layer thickness risk value based on the preset early warning threshold calculation scheme. Step S23: Based on the preset risk index weight library, calculate the weighted risk value using the current signal risk value, the coal flow rate risk value, the coal accumulation risk value, and the clay layer thickness risk value. Step S24: Output risk level information based on the weighted risk value and the preset risk level classification library.

3. The crusher coal blockage early warning method according to claim 2, characterized in that, Step S3 includes: Step S31: Confirm that the risk level information is a low risk level; Step S32: Issue the first alarm signal; Step S33: The control system automatically adjusts the feed speed of the crusher.

4. The crusher coal blockage early warning method according to claim 2, characterized in that, Step S3 includes: Step S31: Confirm that the risk level information is medium risk level; Step S32: Issue a second alarm signal; Step S33: The control system automatically activates the feeding lever.

5. The crusher coal blockage early warning method according to claim 2, characterized in that, Step S3 includes: Step S31: Confirm that the risk level information is a high-risk level; Step S32: Issue the third alarm signal; In step S33, the control system automatically stops the operation of the crusher and starts the feeding rod.

6. The crusher coal blockage early warning method according to any one of claims 1-5, characterized in that, Obtaining the coal flow velocity information includes: Obtain the cross-sectional area of ​​the inside of the crusher; Image information of the coal at the inlet and outlet of the crusher is obtained to confirm the time when the coal enters the crusher, the total volume of coal entering, and the time when the coal is discharged from the outlet of the crusher.

7. The crusher coal blockage early warning method according to any one of claims 1-5, characterized in that, Obtaining the coal accumulation information includes: Image information of the coal within the monitoring area is obtained to confirm the location and extent of the coal accumulation.

8. The crusher coal blockage early warning method according to any one of claims 1-5, characterized in that, Obtaining the adhesive layer thickness information includes: Image information of the coal within the monitoring area is obtained to determine the thickness of the bonding layer on the wall of the crusher within the monitoring area.

9. A coal blockage early warning device for a crusher, characterized in that, The early warning device is used in the crusher coal blockage early warning method according to any one of claims 1-8, and the early warning device includes: Multiple cameras are respectively arranged at the inlet position, outlet position, and inner wall of the crusher; A current sensor, which is connected to the motor of the crusher; Lighting equipment, which is arranged on the inner wall of the crusher.

10. The crusher coal blockage early warning device according to claim 9, characterized in that, Also includes: The data acquisition module is used to acquire the crusher current signal, the coal flow velocity information in the crusher, the coal accumulation information, and the clay layer thickness information. The data analysis module is used to compare and analyze the current signal information, the coal flow velocity information, the coal accumulation information, and the clay layer thickness information with the current threshold, the flow velocity threshold, the coal accumulation threshold, and the clay layer thickness threshold, respectively. The indicator risk value calculation module is used to calculate the current signal risk value, coal flow rate risk value, coal accumulation risk value, and clay layer thickness risk value based on the preset early warning threshold calculation scheme. The weighted risk value calculation module calculates the weighted risk value based on a pre-set risk indicator weight library, using the current signal risk value, the coal flow rate risk value, the coal accumulation risk value, and the clay layer thickness risk value. The early warning module outputs risk level information based on the weighted risk value and the preset risk level classification library, and issues a corresponding early warning signal.

Images