A method and system for evaluating the operating condition of a coal mill of a thermal power plant

Abstract

The application relates to a thermal power plant coal mill operation condition evaluation method and system, the method comprising: during the operation of the coal mill, obtaining a static slagging state temperature initial image of a coal mill slagging door at a static working time based on a preset temperature detection module, and generating a static slagging state temperature correction image; generating an actual selected region image, and judging whether the coal mill slagging door at the static working time is in a qualified state; if the qualified state is judged, collecting a dynamic slagging state temperature image, judging whether the temperature of a slagging port is in an abnormal state; if the temperature of the slagging port is judged to be in the abnormal state, performing operation state troubleshooting according to a pre-stored temperature abnormality fault troubleshooting sequence, generating actual operation state data, and generating a coal mill operation evaluation report. The application realizes early warning of the operation condition from the temperature, further judges whether maintenance is needed, can discover potential risks in advance, and realizes an intelligent coal mill state monitoring method.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coal mill operation monitoring, in particular to a thermal power plant coal mill operation condition evaluation method and system. BACKGROUND

[0002] The coal mill of a thermal power plant is a machine that breaks and grinds coal into coal powder, and it is an important auxiliary equipment of a coal-fired boiler.

[0003] At present, there are various patents related to coal mill operation monitoring. For example, the patent CN110918242A discloses a coal mill monitoring and early warning method and a coal mill monitoring and early warning system. The coal mill monitoring and early warning method includes, for example: obtaining the working state data of the coal mill, wherein the working state data includes the primary air flow of the coal mill, the average temperature at the outlet of the separator, the current of the coal mill, and the primary air pressure; determining whether the primary air flow of the coal mill, the average temperature at the outlet of the separator, the current of the coal mill, and the primary air pressure meet the preset conditions to obtain a working state determination result; and sending the working state determination result to a user terminal.

[0004] Although the technical solution in the above patent file can realize automatic early warning of the working state of the coal mill and automatic pushing of the working state determination result, thereby avoiding the need for a person to monitor the coal mill at all times and saving labor costs, it still has the problems of complex monitoring and inability to discover potential risks. SUMMARY

[0005] Therefore, it is necessary to provide a thermal power plant coal mill operation condition evaluation method and system that can realize early warning of the operation condition based on temperature, further determine whether maintenance is needed, and discover potential risks in advance, thereby realizing an intelligent coal mill state monitoring method.

[0006] The technical solution of the present application is as follows:

[0007] A thermal power plant coal mill operation condition evaluation method, the method comprising:

[0008] When the coal mill is running, a preset temperature detection module is used to acquire a static slagging state temperature initial image of the coal mill slagging door at a static working time, a correction process is performed according to the static slagging state temperature initial image, and a static slagging state temperature correction image is generated after the correction is completed; a monitoring area is selected according to the static slagging state temperature correction image, an actual selected area image is generated after the selection is completed, and whether the coal mill slagging door at the static working time is in a qualified state is judged according to the actual selected area image; if it is judged that the qualified state is met, a dynamic slagging state temperature image of a preset slagging outlet monitoring area within a preset time period after the coal mill slagging door is opened is collected based on the temperature detection module, and whether the temperature of the slagging port is in an abnormal state is judged according to the dynamic slagging state temperature image; if it is judged that the temperature of the slagging port is in the abnormal state, a running state is investigated according to a pre-stored temperature abnormal fault investigation sequence, actual running state data is generated after the investigation is completed, and a coal mill running evaluation report is generated according to the actual running state data.

[0009] Specifically, the temperature abnormal fault investigation sequence includes a priority investigation level and a general investigation level, the priority investigation level corresponds to a priority investigation item, and the general investigation level corresponds to a general investigation item.

[0010] If it is judged that the temperature of the slagging port is in the abnormal state, a running state is investigated according to a pre-stored temperature abnormal fault investigation sequence, actual running state data is generated after the investigation is completed, and a coal mill running evaluation report is generated according to the actual running state data, and specifically includes:

[0011] If the temperature at the slag discharge port is determined to be abnormal, the priority level in the temperature anomaly fault investigation sequence is extracted, and the priority investigation items corresponding to the priority level are determined. These priority investigation items include grinding media, mill operating load, and mill wear. Historical stored data of the grinding media used within a pre-stored time period is retrieved, and an estimated deviation value for the grinding media is generated based on this historical stored data. This estimated deviation value represents the degree of influence of the grinding media on the mill operation. The actual power data of the mill motor within a pre-stored time period is obtained based on a preset power acquisition module, and an operating load deviation value is generated based on this actual power data. The difference, wherein the operating load deviation value represents the degree of deviation between the current operating power of the coal mill and the power under normal operating conditions, wherein the normal operating conditions are pre-stored; the operating wear data of the coal mill within the pre-stored time period is acquired, and a real-time wear deviation value is generated based on the operating wear data, wherein the real-time wear deviation value represents the degree of deviation between the wear of the coal mill during current operation and under normal operating conditions; a first operating evaluation value is generated based on the coal grinding medium influence value, the load deviation value, and the real-time wear deviation value; actual operating status data is generated based on the first operating evaluation value, and a coal mill operating evaluation report is generated based on the actual operating status data.

[0012] Specifically, a first operational evaluation value is generated based on the following formula, taking into account the influence value of the pulverizing media, the load deviation value, and the real-time wear deviation value:

[0013]

[0014] Where E is the first operational evaluation value, Se is the average size of the pulverizing media, Ms is the strength of the pulverizing media, Fe is the actual media loading of the pulverizing media, S is the standard size of the pulverizing media, M is the standard strength of the pulverizing media, F is the standard media loading of the pulverizing media, N is the number of overloads of the operating power, n is the number of sampling time points, Pei is the i-th overload power, Pmax is the theoretical maximum power consumption, and We is the real-time wear deviation value.

[0015] Specifically, a coal mill operation status assessment system for thermal power plants includes:

[0016] The temperature image correction module is used to obtain the initial static slag discharge temperature image of the slag discharge gate of the coal mill during static working time based on the preset temperature detection module when the coal mill is running, perform correction processing based on the initial static slag discharge temperature image, and generate a static slag discharge temperature correction image after the correction is completed.

[0017] The area image selection module is used to select the monitoring area based on the static slag discharge state temperature correction image, and generate the actual selected area image after the selection is completed. Based on the actual selected area image, it is determined whether the coal mill slag discharge gate is in a qualified state during static working time.

[0018] An abnormal state judgment module is used to, if the condition is qualified, collect dynamic slag discharge state temperature images of the preset slag discharge outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened based on the temperature detection module, and determine whether the temperature of the slag discharge outlet is abnormal based on the dynamic slag discharge state temperature images.

[0019] The assessment report generation module is used to check the operating status according to the pre-stored temperature anomaly fault check sequence if the temperature of the slag discharge port is determined to be abnormal. After the check is completed, the module generates actual operating status data and generates a coal mill operation assessment report based on the actual operating status data.

[0020] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps described in the above-described method for evaluating the operating status of coal mills in thermal power plants.

[0021] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps described in the above-described method for evaluating the operating status of a coal mill in a thermal power plant.

[0022] The technical effects achieved by this invention are as follows:

[0023] The aforementioned method and system for evaluating the operating status of a coal mill in a thermal power plant involves the following steps: During coal mill operation, an initial static ash discharge temperature image of the ash discharge gate during static working time is acquired using a preset temperature detection module. This initial static ash discharge temperature image is then corrected to generate a corrected static ash discharge temperature image. A monitoring area is selected based on this corrected image, and an actual selected area image is generated. The actual selected area image is then used to determine whether the ash discharge gate is in a qualified state during static working time. If it is determined to be in a qualified state, a dynamic ash discharge temperature image of the preset ash discharge outlet monitoring area within a preset time period after the ash discharge gate is opened is acquired using the temperature detection module. The dynamic ash discharge temperature image is then used to determine the dynamic ash discharge status... Temperature images are used to determine if the temperature at the slag discharge port is abnormal. If the temperature at the slag discharge port is determined to be abnormal, the operating status is checked according to a pre-stored temperature anomaly fault troubleshooting sequence. After the troubleshooting is completed, actual operating status data is generated, and a coal mill operation evaluation report is generated based on the actual operating status data. Further status troubleshooting is performed based on a pre-stored temperature anomaly fault tree. The operation of the coal mill is reliably monitored through pre-set artificial intelligence-based sensors. Furthermore, troubleshooting is performed when an abnormal temperature occurs at the slag discharge port, avoiding losses caused by waiting until a structural failure of the coal mill occurs. This achieves early warning of operating status based on temperature, further determining whether maintenance is needed, and can detect potential risks in advance, realizing an intelligent coal mill status monitoring method. Attached Figure Description

[0024] Figure 1 This is a flowchart illustrating a method for evaluating the operating status of a coal mill in a thermal power plant, as shown in one embodiment.

[0025] Figure 2 This is a structural block diagram of a coal mill operation status assessment system for a thermal power plant, as shown in one embodiment.

[0026] Figure 3 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0028] In one embodiment, a terminal is provided, the terminal being used to: acquire an initial static slag discharge temperature image of the slag discharge gate of the pulverizer during static working time based on a preset temperature detection module during pulverizer operation; perform correction processing based on the initial static slag discharge temperature image; and generate a corrected static slag discharge temperature image after correction; select a monitoring area based on the corrected static slag discharge temperature image; generate an actual selected area image after selection; determine whether the pulverizer slag discharge gate is in a qualified state during static working time based on the actual selected area image; if it is determined to be in a qualified state, acquire a dynamic slag discharge temperature image of a preset slag discharge outlet monitoring area within a preset time period after the pulverizer slag discharge gate is opened based on the temperature detection module; determine whether the temperature of the slag discharge outlet is in an abnormal state based on the dynamic slag discharge temperature image; if the temperature of the slag discharge outlet is determined to be in an abnormal state, perform an operational status check according to a pre-stored temperature abnormality fault check sequence; generate actual operational status data after the check is completed; and generate a pulverizer operation evaluation report based on the actual operational status data.

[0029] The terminal may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices.

[0030] In one embodiment, such as Figure 1 As shown, a method for evaluating the operating status of a coal mill in a thermal power plant is provided, the method comprising:

[0031] Step S100: When the coal mill is running, the initial image of the static slag discharge state temperature of the coal mill slag discharge gate during static working time is obtained based on the preset temperature detection module. The initial image of the static slag discharge state temperature is corrected according to the initial image of the static slag discharge state temperature, and a corrected image of the static slag discharge state temperature is generated after the correction is completed.

[0032] Step S200: Select the monitoring area based on the static slag discharge state temperature correction image, and generate an actual selected area image after the selection is completed. Determine whether the slag discharge gate of the coal mill is in a qualified state during the static working time based on the actual selected area image.

[0033] Step S300: If the condition is deemed to be qualified, the temperature detection module collects a dynamic slag discharge status temperature image of the preset slag discharge outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened, and determines whether the temperature of the slag discharge outlet is abnormal based on the dynamic slag discharge status temperature image.

[0034] Step S400: If the temperature of the slag discharge port is determined to be abnormal, the operating status is checked according to the pre-stored temperature abnormality fault check sequence. After the check is completed, actual operating status data is generated, and a coal mill operation evaluation report is generated based on the actual operating status data.

[0035] To accurately monitor the operating status of the coal mill, the slag discharge data is used as a reference point. This includes checking the sealing condition of the slag discharge gate in a static state and determining whether there is a fault based on the temperature of the slag discharge gate during slag discharge. Specifically, to monitor the sealing condition of the slag discharge gate during static operation, an initial static slag discharge temperature image is acquired using a preset temperature detection module during coal mill operation. To ensure the accuracy of the sealing condition detection, correction is performed based on this initial static slag discharge temperature image. The process involves processing and generating a static slag discharge temperature calibration image after calibration. To accurately detect the sealing area, a monitoring area is selected based on this image, and an image of the selected area is generated. This image is then used to determine if the pulverizer slag discharge door is in a qualified state during static operation. If it is determined to be unqualified, a sealing position maintenance prompt is generated and sent to the pulverizer maintenance personnel. This prompt instructs the personnel to inspect the pulverizer slag discharge door to ensure proper sealing. Reliability is ensured to guarantee safety. If the condition is deemed acceptable, the temperature detection module collects dynamic slag discharge temperature images of the slag outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened. Based on these dynamic slag discharge temperature images, it is determined whether the temperature at the slag discharge port is abnormal. If the temperature at the slag discharge port is determined to be abnormal, the operating status is checked according to a pre-stored temperature anomaly fault troubleshooting sequence. After the troubleshooting is completed, actual operating status data is generated, and a coal mill operation evaluation report is generated based on the actual operating status data. This enables initial judgment of the mill based on the temperature data at the slag discharge point. If the coal mill's operating status is abnormal, and the temperature is abnormal, it is determined that there may be a fault inside the coal mill. Then, further status investigation is carried out according to the pre-stored temperature anomaly fault tree. The operation of the coal mill is reliably monitored by pre-set artificial intelligence-based sensors. Furthermore, when the temperature at the slag discharge port is abnormal, fault investigation is carried out, avoiding the loss caused by waiting until the coal mill has a structural failure before troubleshooting. This achieves early warning of operating status based on temperature, further judging whether maintenance is needed, and can detect potential risks in advance, realizing an intelligent coal mill status monitoring method.

[0036] In one embodiment, the temperature anomaly troubleshooting sequence includes a priority troubleshooting level and a normal troubleshooting level, wherein the priority troubleshooting level corresponds to priority troubleshooting items and the normal troubleshooting level corresponds to normal troubleshooting items;

[0037] Step S400: If the temperature at the slag discharge port is determined to be abnormal, the operating status is checked according to the pre-stored temperature anomaly fault troubleshooting sequence. After the troubleshooting is completed, actual operating status data is generated, and a coal mill operation evaluation report is generated based on the actual operating status data, specifically including:

[0038] Step S410: If it is determined that the temperature of the slag discharge port is in an abnormal state, then the priority level in the temperature abnormality fault investigation sequence is extracted, and the priority investigation items corresponding to the priority level are determined. The priority investigation items include pulverizing media, pulverizer operating load and pulverizer wear.

[0039] Step S420: Retrieve historical stored data of the grinding media used within the pre-stored time period, and generate an estimated deviation value of the grinding media based on the historical stored data, wherein the estimated deviation value represents the degree of influence of the grinding media on the operation of the coal mill;

[0040] In this step, the historical stored data includes the average size Se of the pulverizing media, the media strength Ms, and the actual media loading Fe, while the corresponding standard size S, standard strength M, and standard media loading F are pre-stored; the estimated deviation value is generated based on the following formula:

[0041]

[0042] Where Co is the estimated deviation value, Se is the average size, Ms is the medium strength, Fe is the actual medium load, S is the standard size, M is the standard strength, and F is the standard medium load.

[0043] Step S430: Based on the preset power acquisition module, obtain the actual power data of the coal mill motor within the preset time length, and generate the operating load deviation value according to the actual power data, wherein the operating load deviation value represents the degree of deviation between the current operating power of the coal mill and the power under normal operating conditions, and the normal operating conditions are stored in advance;

[0044] In this step, the load is determined by collecting the power of the motor of the coal mill during operation. Specifically, the normal power consumption range is pre-stored, which is Pmin-Pmax (units omitted), where Pmax is the theoretical maximum power consumption.

[0045] The pre-stored time length includes n sampling time points, each sampling time point being t1, t2, t3...tn. The actual power data includes multiple actual power consumption Pi, where Pi represents the actual power consumption corresponding to the i-th sampling time point. Specifically, each actual power consumption is represented by P1, P2, P3...Pi, and each actual power consumption corresponds to a sampling time point. Then, the power difference between each actual power data and the maximum power consumption is calculated, i.e., Pd = Pmax - Pi. Where Pd represents the power difference, negative power differences are filtered out and recorded as overload power Pe, and the number of filtered overload power Pes is counted and set as the overload number N. The operating load deviation value is calculated based on the following formula:

[0046]

[0047] Where Lo is the operating load deviation value, N is the number of overloads, n is the number of sampling time points, Pei is the power of the i-th overload, and Pmax is the theoretical maximum power consumption.

[0048] In theory, an overload operation should be determined only if N is greater than the standard value and the total overload power is greater than the theoretical maximum power consumption under normal operating conditions, thus leading to excessively high temperatures.

[0049] Step S440: Obtain the operating wear data of the coal mill within a pre-stored time period, and generate a real-time wear deviation value based on the operating wear data, wherein the real-time wear deviation value represents the degree of deviation of the wear of the coal mill during the current operation from that during normal operation.

[0050] In this step, the operational wear data is a thermal imaging image collected by the grinding disc of the coal mill during operation. The real-time operating temperature is extracted from the thermal imaging image. There are multiple real-time operating temperatures. The maximum operating temperature under normal operating conditions is stored in advance. The real-time operating temperature is compared with the maximum operating temperature, and the number of real-time operating temperatures that exceed the maximum operating temperature is selected and set as the deviation number. The proportion of the deviation number to the total number of real-time operating temperatures is calculated, and the calculated proportion is set as the real-time wear deviation value, which is represented by We.

[0051] Step S450: Generate a first operational evaluation value based on the coal grinding media influence value, the load deviation value, and the real-time wear deviation value;

[0052] Step S460: Generate actual operating status data based on the first operating evaluation value, and generate a coal mill operating evaluation report based on the actual operating status data.

[0053] Specifically, the coal mill operation assessment report includes a coal mill risk assessment report and a coal mill normal operation assessment report.

[0054] In this step, the impact value of the pulverizing media, the load deviation value, and the real-time wear deviation value are added together to generate a first operational assessment value. Next, it is determined whether the first operational assessment value is greater than or equal to a pre-stored standard operational assessment risk value. If the first operational assessment value is greater than or equal to the pre-stored standard operational assessment risk value, it is determined that any one of the following—the pulverizing media, the pulverizer operating load, or the pulverizer wear—has a problem. Therefore, a pulverizer risk assessment report is generated at this time. The pulverizer risk assessment report records data instructing pulverizer maintenance personnel to perform manual inspections of the pulverizing media, the pulverizer operating load, and the pulverizer wear.

[0055] If the risk value is less than the standard operating risk value, it means that there are no problems with the pulverizing media, pulverizer operating load, and pulverizer wear at this time, or it can be understood that the pulverizing media, pulverizer operating load, and pulverizer wear are not the cause of the abnormal slag discharge port temperature.

[0056] At this point, to accurately determine the operational status, it is necessary to further determine the ordinary inspection items corresponding to the ordinary inspection level. These ordinary inspection items include the ventilation smoothness of the ventilation system, the raw coal inlet temperature, and the raw coal moisture content. An ordinary inspection instruction is then generated and sent to the coal mill maintenance personnel. The maintenance personnel then sequentially inspect the ventilation smoothness, raw coal inlet temperature, and raw coal moisture content. After the inspection is completed, the maintenance personnel provide feedback on the inspection data. If the inspection data shows a fault, a coal mill risk assessment report is generated. This risk assessment report also includes specific issues and is used to instruct the maintenance personnel to perform maintenance. If the inspection data shows no fault, a coal mill normal operation assessment report is generated, indicating that all pre-stored inspection items have been inspected and no problems have been found. Simultaneously, a comprehensive inspection instruction is generated, instructing the coal mill maintenance personnel to shut down the machine for a comprehensive inspection. Alternatively, coal grinding can continue with ongoing monitoring. Specific operational options are set by the personnel actually managing the coal mill.

[0057] In one embodiment, a first operational evaluation value is generated based on the following formula, according to the coal grinding media influence value, the load deviation value, and the real-time wear deviation value:

[0058]

[0059] Where E is the first operational evaluation value, Se is the average size of the pulverizing media, Ms is the strength of the pulverizing media, Fe is the actual media loading of the pulverizing media, S is the standard size of the pulverizing media, M is the standard strength of the pulverizing media, F is the standard media loading of the pulverizing media, N is the number of overloads of the operating power, n is the number of sampling time points, Pei is the i-th overload power, Pmax is the theoretical maximum power consumption, and We is the real-time wear deviation value.

[0060] In one embodiment, step S300: If the condition is deemed acceptable, the temperature detection module collects a dynamic slag discharge temperature image of the preset slag discharge outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened, and determines whether the temperature of the slag discharge outlet is abnormal based on the dynamic slag discharge temperature image. Specifically, this includes:

[0061] In this step, the slag discharge outlet monitoring area is the front area after the slag discharge door of the coal mill is opened, and it is pre-defined. The slag discharge outlet monitoring area is the area with a high temperature after slag discharge, so it needs to be monitored.

[0062] If the condition is deemed acceptable, the temperature detection module collects dynamic slag discharge temperature images of the slag discharge outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened. The preset time period includes multiple collection times, and each collection time corresponds to one image. That is, the dynamic slag discharge temperature images include multiple subdivided dynamic slag discharge images.

[0063] When the number of temperature points exceeding the safe temperature in the subdivided dynamic image of slag discharge is greater than the pre-stored safe number, the temperature of the slag discharge port is determined to be in an abnormal state; otherwise, it is determined to be in a normal state.

[0064] In one embodiment, step S100: During the operation of the coal mill, an initial image of the static slag discharge state temperature of the coal mill slag discharge gate during static working time is obtained based on a preset temperature detection module; a correction process is performed based on the initial image of the static slag discharge state temperature; and a corrected image of the static slag discharge state temperature is generated after the correction is completed; specifically including:

[0065] Step S110: When the coal mill is running, start the preset temperature detection module, control the temperature detection module to collect temperature images of the coal mill slag discharge gate, and generate an initial static slag discharge state temperature image after the collection is completed.

[0066] Step S120: Locate the center point of the initial image of the static slag discharge state temperature, and identify the horizontal and vertical directions of the initial image of the static slag discharge state temperature;

[0067] Step S130: Establish an initial coordinate system based on the image center point, the horizontal direction of the image, and the vertical direction of the image, and determine the actual coordinates of the preset calibration reference point on the initial image of the static slag discharge state temperature within the initial coordinate system, wherein the calibration reference point corresponds to a theoretical reference point;

[0068] Step S140: Determine whether the actual coordinates are the same as the pre-stored theoretical coordinates. If they are the same, set the initial image of the static slag discharge state temperature as the corrected image of the static slag discharge state temperature.

[0069] Step S150: If the coordinates are different, coordinate deviation data is generated based on the theoretical coordinates and the actual coordinates. The preset detection and adjustment module is started based on the coordinate deviation data. The detection and adjustment module is controlled to adjust the data acquisition angle of the temperature detection module until the calibration reference point in the coordinate system established by the temperature detection module based on the acquired data is the same as the theoretical reference point. Then, the acquired image is set as the static slag discharge state temperature correction image.

[0070] In this step, the acquisition position of the temperature detection module is preset to be fixed. Multiple calibration reference points are set in the acquisition area of ​​the temperature detection module, such as the box frame of the slag discharge box, the sliding door of the slag discharge box, and the door frame of the sliding door of the slag discharge box. Among them, the sliding door of the slag discharge box is far from the slag discharge port of the slag discharge door, and is not easily affected by the temperature image, which facilitates identification. Although the shooting position of the temperature detection module is set to be fixed, considering that the temperature detection module is prone to displacement or other situations that may cause acquisition deviation, it needs to be corrected. After correction, the monitoring area can be identified more accurately. Specifically, an initial coordinate system is established with the image center point, the horizontal direction of the image, and the vertical direction of the image of the initial static slag discharge temperature image. Then, the calibration reference points are identified and the actual coordinates of the calibration reference points are calculated. It is determined whether the actual coordinates are the same as the pre-stored theoretical coordinates. If they are the same, the initial static slag discharge temperature image is set as the static slag discharge temperature correction image. If they are different, adjust the acquisition angle of the temperature detection module until the actual coordinates are the same as the theoretical coordinates. The correction is then complete. At this point, the initial image of the static slag discharge state temperature corresponding to the coordinate system of the theoretical coordinates and the actual coordinates is the static slag discharge state temperature correction image.

[0071] In one embodiment, the actual selected region image includes a core selected region image and an outer overlay region image;

[0072] Step S200: Select the monitoring area based on the static slag discharge temperature correction image, and generate an actual selected area image after selection. Determine whether the coal mill slag discharge gate is in a qualified state during static working time based on the actual selected area image. Specifically, this includes:

[0073] Step S210: Obtain the pre-stored sealing area calibration conditions based on the actual coordinates of the calibration reference points in the static slag discharge state temperature correction image. The sealing area calibration conditions include calibration reference length and area coverage length, wherein one calibration reference point corresponds to one calibration reference length.

[0074] Step S220: Generate the calibration center point based on the calibration reference length and the actual coordinates of the corresponding calibration reference point;

[0075] Step S230: Generate a core selected region image based on the calibration center point and the region coverage length;

[0076] Step S240: Extend a pre-stored outer coverage length uniformly outward from the periphery of the core selected region image, and set the region formed by extending based on the outer coverage length as the outer coverage region image;

[0077] Step S250: Determine whether the coal mill slag discharge gate is in a qualified state during static working time based on the core selected area image and the outer covered area image.

[0078] In this embodiment, to achieve accurate calibration, pre-set calibration conditions for the sealed area, and set a calibration reference length and an area coverage length. Each calibration reference point corresponds to one calibration reference length. Specifically, during calibration, a calibration center point is first generated based on the calibration reference length and the actual coordinates of the corresponding calibration reference point. Multiple calibration reference points are used to improve accuracy. Specifically, position points centered on the calibration reference point and at a distance equal to the calibration reference length are calculated. Each calibration reference point corresponds to at least one position point; therefore, the overlapping points among the position points corresponding to each calibration reference point are set as the calibration center point. Then, a core selected area image is formed by expanding outwards from the calibration center point with a radius equal to the area coverage length. In this embodiment, the core selected area image is circular, and the calibration center point is the center of the coal mill slag discharge door. The number of calibration center points can be one or more, corresponding to one or more core selected area images; this is a custom setting. In this embodiment, the number of calibration center points is set to one. To ensure accuracy, a pre-stored outer coverage length is evenly extended outwards from the periphery of the core selected area image. The area formed by this extension is designated as the outer coverage area image. This outer coverage area image can be understood as the image corresponding to the area outside the coal mill slag discharge door, indicating whether the coal mill slag discharge door will leak heat to the outside. Thus, a comprehensive judgment of the sealing condition is made using both the core area and the auxiliary area. Specifically, the core selected area image and the outer coverage area image are used to determine whether the coal mill slag discharge door is in a qualified state during static operation, achieving a comprehensive assessment.

[0079] In one embodiment, step S250: determining whether the coal mill slag discharge gate is in a qualified state during static working time based on the core selected area image and the outer covered area image, specifically includes:

[0080] Step S251: Extract the highest temperature value from the core selected area image, set detection points for the core selected area image, and generate the current temperature detection point after calibration;

[0081] Step S252: Calculate the current detected temperature value of each current temperature detection point, and calculate the average temperature value based on each current detected temperature value;

[0082] Step S253: Filter out current detection temperature values ​​that are greater than or equal to the pre-stored standard temperature values ​​based on the current detection temperature values, and generate an image of the area to be evaluated based on the filtered current detection temperature values;

[0083] Step S254: Obtain the current service life of the slag discharge door of the coal mill, and generate the current wear coefficient based on the current service life;

[0084] Step S255: Generate the theoretical acceptable temperature based on the current wear coefficient and the standard temperature value;

[0085] Step S256: Extract the image of the region to be evaluated that has a temperature greater than the theoretical acceptable temperature from the image of the region to be evaluated, calculate the area ratio of the image of the region to be evaluated to the area ratio of the region to be evaluated, and generate the actual area ratio.

[0086] Step S257: If it is determined that the highest temperature value is greater than the standard highest value, or the average temperature value is greater than the standard average value, or the actual area ratio is greater than the standard area ratio, then it is determined that the slag discharge door of the coal mill is not in a qualified state during static working time, and no further processing is performed on the image of the outer covered area.

[0087] Step S258: If it is determined that the highest temperature value is less than or equal to the standard highest value, the average temperature value is less than or equal to the standard average value, and the actual area ratio is less than or equal to the standard area ratio, then generate an outer area judgment instruction.

[0088] Step S259: Based on the outer region judgment instruction, determine whether the coal mill slag discharge door is in a qualified state during static working time based on the outer coverage area image.

[0089] In this embodiment, to accurately determine whether the seal is abnormal during static working time, and then comprehensively evaluate it by the highest temperature value, average temperature value, and actual area ratio, the highest temperature value is first extracted from the core selected area image, and detection points are set for the core selected area image. When setting the detection points, calibration is performed according to a preset calibration unit. The calibration unit has a pre-set area, so that after obtaining the core selected area image, calibration is performed according to the area, so that the area of ​​each calibration unit is the same. Then, the current temperature detection point is generated after calibration, and the current detection temperature value of each current temperature detection point is calculated. The average temperature value is calculated based on each current detection temperature value.

[0090] Furthermore, to screen for temperature anomalies, standard temperature values ​​are pre-stored. A temperature value greater than the standard value indicates a potential temperature anomaly. However, the service life of the coal mill slag discharge door can cause changes in the detected temperature; the longer the service life, the worse the heat insulation capacity. Therefore, based on the current detected temperature values, those greater than or equal to the pre-stored standard temperature values ​​are first selected. Then, lines are drawn connecting the current temperature detection points corresponding to the selected current detected temperature values. After the lines are drawn, an image of the area to be evaluated is generated. This image represents the area where temperature anomalies may occur. For accurate judgment, the current service life of the coal mill slag discharge door is obtained, and compared with the pre-stored standard service life to select matching standard values. The standard service life is defined, and the standard service life corresponds to a standard wear coefficient, which is the current wear coefficient. Different current wear coefficients correspond to different temperature losses. For example, when the current service life is 2 years, the current wear coefficient is 0.1. Taking a standard temperature of 100 degrees Celsius as an example, the theoretical acceptable temperature is 100 degrees Celsius multiplied by (1 + 0.1), resulting in 110 degrees Celsius. Similarly, when the current service life is 3 years, the current wear coefficient is 0.2. Taking a standard temperature of 100 degrees Celsius as an example, the theoretical acceptable temperature is 100 degrees Celsius multiplied by (1 + 0.2), resulting in 120 degrees Celsius. Therefore, the theoretical acceptable temperature is generated based on the current wear coefficient and the standard temperature value.

[0091] Furthermore, images of undetermined areas with temperatures exceeding the theoretical acceptable temperature are extracted from the image of the area to be evaluated. The area ratio of these undetermined areas to the image of the area to be evaluated is calculated, and an actual area ratio is generated. When the actual area ratio is greater than the standard area ratio, it indicates that there are many abnormal temperatures exceeding the normal reasonable range. The standard area ratio is preset by those skilled in the art and is adjustable. Therefore, further judgment can be made. If the highest temperature value is greater than the standard highest value, or the average temperature value is greater than the standard average value, or the actual area ratio is greater than the standard area ratio, then the slag discharge gate of the coal mill is determined to be in an unqualified state during static operation. At the same time, no further processing is performed on the outer covered area image, which is used for auxiliary judgment. When it has already been determined that it is not in an unqualified state, data processing on the outer covered area image is no longer necessary.

[0092] If the highest temperature value is less than or equal to the standard highest value, the average temperature value is less than or equal to the standard average value, and the actual area ratio is less than or equal to the standard area ratio, then an outer area judgment instruction is generated. At this time, in order to make an accurate judgment, it is also necessary to process the data of the outer area, that is, to make a more accurate judgment based on the outer coverage area image. Specifically, according to the outer area judgment instruction, it is determined whether the coal mill slag discharge door is in a qualified state during static working time based on the outer coverage area image.

[0093] In one embodiment, step S259: Based on the outer region judgment instruction, determine whether the coal mill slag discharge door is in a qualified state during static working time according to the outer coverage area image, specifically including:

[0094] Step S2591: Extract the actual temperature value on the outer coverage area image according to the outer area judgment instruction, wherein the number of the actual temperature values ​​is multiple;

[0095] Step S2592: Filter the number of actual temperature values ​​that are greater than the standard outer temperature value, and set them as the first number;

[0096] Step S2593: Determine whether the first quantity is within a reasonable quantity range, wherein the reasonable quantity range is stored in advance;

[0097] Step S2594: If the quantity is within a reasonable range, then the slag discharge gate of the coal mill is considered to be in a qualified state during static working time.

[0098] Step S2595: If it is determined that the quantity does not meet the reasonable range, then it is determined that the slag discharge gate of the coal mill is not in a qualified state during static working time.

[0099] In this embodiment, the image of the outer covered area refers to the image of the outer region, which generally does not withstand high temperatures. It is reasonable for the temperature to be below the standard outer temperature value. If the temperature exceeds the standard outer temperature value and the number of such areas is large, it indicates an abnormal sealing condition, i.e., it is not a qualified condition. Furthermore, the outer region can refer to the doorway area of ​​the coal mill slag discharge door, the area of ​​the components beside the coal mill slag discharge door, etc., and the outer region can be set according to the actual situation. Specifically, firstly, the actual temperature values ​​on the outer covered area image are extracted, where there are multiple actual temperature values. Then, the number of actual temperature values ​​greater than the standard outer temperature value is selected and set as the first number. It is then determined whether the first number falls within a reasonable range, where the reasonable range is pre-stored. If it falls within the reasonable range, it is determined that the temperature is within the error range, and the temperature at the slag discharge door of the coal mill is easily diffused, resulting in some local temperature unevenness, which is reasonable. Therefore, the slag discharge door of the coal mill is judged to be in a qualified state during static operation. Conversely, if it does not fall within the reasonable range, it indicates that the temperature in the outer area is too high and occupies a large area, which may lead to unstable sealing. Therefore, the slag discharge door of the coal mill is judged to be in a non-qualified state during static operation. Thus, by combining the images corresponding to the core area and the outer area for comprehensive judgment, accurate judgment of whether the static seal of the slag discharge door of the coal mill is abnormal during operation can be achieved, improving the accuracy of the judgment of the coal mill's operating status.

[0100] In one embodiment, such as Figure 2 As shown, a system for assessing the operating status of a coal mill in a thermal power plant is provided. The system includes:

[0101] The temperature image correction module is used to obtain the initial static slag discharge temperature image of the slag discharge gate of the coal mill during static working time based on the preset temperature detection module when the coal mill is running, perform correction processing based on the initial static slag discharge temperature image, and generate a static slag discharge temperature correction image after the correction is completed.

[0102] The area image selection module is used to select the monitoring area based on the static slag discharge state temperature correction image, and generate the actual selected area image after the selection is completed. Based on the actual selected area image, it is determined whether the coal mill slag discharge gate is in a qualified state during static working time.

[0103] An abnormal state judgment module is used to, if the condition is qualified, collect dynamic slag discharge state temperature images of the preset slag discharge outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened based on the temperature detection module, and determine whether the temperature of the slag discharge outlet is abnormal based on the dynamic slag discharge state temperature images.

[0104] The assessment report generation module is used to check the operating status according to the pre-stored temperature anomaly fault check sequence if the temperature of the slag discharge port is determined to be abnormal. After the check is completed, the module generates actual operating status data and generates a coal mill operation assessment report based on the actual operating status data.

[0105] In one embodiment, the temperature anomaly fault investigation sequence includes a priority investigation level and a normal investigation level, wherein the priority investigation level corresponds to priority investigation items, and the normal investigation level corresponds to normal investigation items; the assessment report generation module is further configured to:

[0106] If the temperature at the slag discharge port is determined to be abnormal, the priority level in the temperature anomaly fault investigation sequence is extracted, and the priority investigation items corresponding to the priority level are determined. These priority investigation items include pulverizing media, pulverizer operating load, and pulverizer wear. Historical storage data of the pulverizing media used within a pre-stored time period is retrieved, and an estimated deviation value for the pulverizing media is generated based on this historical storage data. This estimated deviation value represents the degree of influence of the pulverizing media on the pulverizer operation. The historical storage data includes the average size Se, media strength Ms, and actual media loading Fe of the pulverizing media, while the corresponding standard size S, standard strength M, and standard media loading F are pre-stored. The estimated deviation value is generated based on the following formula:

[0107]

[0108] Where Co is the estimated deviation value, Se is the average size, Ms is the medium strength, Fe is the actual medium loading, S is the standard size, M is the standard strength, and F is the standard medium loading. Based on a preset power acquisition module, the actual power data of the coal mill's motor within a pre-stored time period is acquired, and an operating load deviation value is generated based on the actual power data. The operating load deviation value represents the degree of deviation between the current operating power of the coal mill and the power during normal operation, which is pre-stored.

[0109] The load is determined by collecting the power of the motor of the coal mill during operation. Specifically, the normal power consumption range is pre-stored, which is Pmin-Pmax (units omitted), where Pmax is the theoretical maximum power consumption.

[0110] The pre-stored time length includes n sampling time points, each sampling time point being t1, t2, t3...tn. The actual power data includes multiple actual power consumption Pi, where Pi represents the actual power consumption corresponding to the i-th sampling time point. Specifically, each actual power consumption is represented by P1, P2, P3...Pi, and each actual power consumption corresponds to a sampling time point. Then, the power difference between each actual power data and the maximum power consumption is calculated, i.e., Pd = Pmax - Pi. Where Pd represents the power difference, negative power differences are filtered out and recorded as overload power Pe, and the number of filtered overload power Pes is counted and set as the overload number N. The operating load deviation value is calculated based on the following formula:

[0111]

[0112] Where Lo is the operating load deviation value, N is the number of overloads, n is the number of sampling time points, Pei is the power of the i-th overload, and Pmax is the theoretical maximum power consumption.

[0113] The wear data of the coal mill during the pre-stored time period is obtained, and a real-time wear deviation value is generated based on the wear data. The real-time wear deviation value represents the degree of deviation of the wear of the coal mill during the current operation from that during normal operation.

[0114] The operational wear data consists of thermal imaging images collected when the grinding disc of the coal mill is in operation. Real-time operating temperatures are extracted from these thermal imaging images. There are multiple real-time operating temperatures. The maximum operating temperature during normal operation is pre-stored. The real-time operating temperatures are compared with the maximum operating temperature, and the number of real-time operating temperatures exceeding the maximum operating temperature is selected and set as the deviation quantity. The proportion of the deviation quantity to the total number of real-time operating temperatures is calculated, and the calculated proportion is set as the real-time wear deviation value, which is represented by We.

[0115] A first operational assessment value is generated based on the influence value of the pulverizing media, the load deviation value, and the real-time wear deviation value. Actual operational status data is generated based on the first operational assessment value, and a pulverizer operational assessment report is generated based on the actual operational status data. The pulverizer operational assessment report includes a pulverizer risk assessment report and a pulverizer normal operation assessment report.

[0116] In this step, the impact value of the pulverizing media, the load deviation value, and the real-time wear deviation value are added together to generate a first operational assessment value. Next, it is determined whether the first operational assessment value is greater than or equal to a pre-stored standard operational assessment risk value. If the first operational assessment value is greater than or equal to the pre-stored standard operational assessment risk value, it is determined that any part of the pulverizing media, pulverizer operating load, and pulverizer wear has a problem. Therefore, a pulverizer risk assessment report is generated at this time. The pulverizer risk assessment report records data instructing pulverizer maintenance personnel to manually inspect the pulverizing media, pulverizer operating load, and pulverizer wear. If the value is less than the standard operational assessment risk value, it indicates that there is no problem with the pulverizing media, pulverizer operating load, and pulverizer wear at this time, or it can be understood that the pulverizing media, pulverizer operating load, and pulverizer wear are not the cause of the abnormal slag discharge port temperature.

[0117] The assessment report generation module is also used for: further determining the ordinary inspection level corresponding to the ordinary inspection items, which include the ventilation smoothness of the ventilation system, the coal inlet temperature, and the raw coal moisture content. At this time, an ordinary inspection item instruction is generated and sent to the coal mill maintenance personnel. The coal mill maintenance personnel then sequentially inspect the ventilation smoothness, the coal inlet temperature, and the raw coal moisture content. After the inspection is completed, the maintenance data fed back by the coal mill maintenance personnel is obtained. When the maintenance data shows a fault, a coal mill risk assessment report is generated. This risk assessment report also includes specific problems and is used to instruct the coal mill maintenance personnel to perform maintenance. If the maintenance data shows no fault, a coal mill normal operation assessment report is generated, indicating that all pre-stored inspection items have been inspected and no problems have been found. At this time, a comprehensive inspection instruction is also generated, instructing the coal mill maintenance personnel to stop the machine for a comprehensive inspection. Alternatively, coal grinding can continue with ongoing monitoring. Specific operational options are set by the personnel actually managing the coal mill.

[0118] The assessment report generation module is also used to generate a first operational assessment value based on the following formula, according to the coal grinding media influence value, the load deviation value, and the real-time wear deviation value:

[0119]

[0120] Where E is the first operational evaluation value, Se is the average size of the pulverizing media, Ms is the strength of the pulverizing media, Fe is the actual media loading of the pulverizing media, S is the standard size of the pulverizing media, M is the standard strength of the pulverizing media, F is the standard media loading of the pulverizing media, N is the number of overloads of the operating power, n is the number of sampling time points, Pei is the i-th overload power, Pmax is the theoretical maximum power consumption, and We is the real-time wear deviation value.

[0121] The abnormal state judgment module is also used for: the slag outlet monitoring area is the front-end area after the slag discharge door of the coal mill is opened, and is pre-defined. The slag outlet monitoring area is a region with a high temperature after slag discharge, so it needs to be monitored. If it is judged to be in a qualified state, the temperature detection module collects dynamic slag discharge status temperature images of the slag outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened. The preset time period includes multiple collection times, and each collection time corresponds to one image. That is, the dynamic slag discharge status temperature image includes multiple subdivided dynamic slag discharge images. When it is determined that the number of temperature points exceeding the safe temperature in the subdivided dynamic slag discharge images is greater than the pre-stored safe number, the temperature of the slag discharge port is judged to be in an abnormal state; otherwise, it is judged to be in a normal state.

[0122] The temperature image correction module is also used for: activating a preset temperature detection module during coal mill operation, controlling the temperature detection module to acquire temperature images of the coal mill's slag discharge gate, and generating an initial static slag discharge temperature image after acquisition; locating the image center point of the initial static slag discharge temperature image, and identifying the horizontal and vertical directions of the initial static slag discharge temperature image; establishing an initial coordinate system based on the image center point, the horizontal direction, and the vertical direction, and determining the actual coordinates of a preset calibration reference point on the initial static slag discharge temperature image within the initial coordinate system, wherein the calibration reference point... Each point corresponds to a theoretical reference point; it is determined whether the actual coordinates are the same as the pre-stored theoretical coordinates. If they are the same, the initial image of the static slag discharge state temperature is set as the static slag discharge state temperature correction image; if they are different, coordinate deviation data is generated based on the theoretical coordinates and the actual coordinates, and a preset detection and adjustment module is activated based on the coordinate deviation data. The detection and adjustment module is controlled to adjust the data acquisition angle of the temperature detection module until the calibration reference point in the coordinate system established by the temperature detection module based on the acquired data is the same as the theoretical reference point. Then, the acquired image is set as the static slag discharge state temperature correction image.

[0123] The actual selected area image includes a core selected area image and an outer coverage area image; the area image selection module is further used to: obtain pre-stored sealing area calibration conditions based on the actual coordinates of the calibration reference points in the static slag discharge state temperature correction image, wherein the sealing area calibration conditions include a calibration reference length and an area coverage length, wherein one calibration reference point corresponds to one calibration reference length; generate a calibration center point based on the calibration reference length and the actual coordinates of the corresponding calibration reference point; generate a core selected area image based on the calibration center point and the area coverage length; uniformly extend the pre-stored outer coverage length outward from the periphery of the core selected area image, and set the area formed by the extension based on the outer coverage length as the outer coverage area image; determine whether the pulverizer slag discharge door is in a qualified state during static working time based on the core selected area image and the outer coverage area image.

[0124] The highest temperature value is extracted from the core selected area image, and detection points are set for the core selected area image. After calibration, current temperature detection points are generated. The current detection temperature value of each current temperature detection point is calculated, and the average temperature value is calculated based on each current detection temperature value. Current detection temperature values ​​greater than or equal to the pre-stored standard temperature value are selected based on each current detection temperature value, and an area image to be evaluated is generated based on the selected current detection temperature values. The current service life of the coal mill slag discharge door is obtained, and the current wear coefficient is generated based on the current service life. The theoretical qualified temperature is generated based on the current wear coefficient and the standard temperature value. The area image to be evaluated that has a temperature greater than the theoretical qualified temperature is extracted from the area image to be evaluated, and the average temperature value is calculated. The image of the undetermined area occupies the area of ​​the image of the area to be evaluated, and an actual area percentage is generated. If it is determined that the highest temperature value is greater than the standard highest value, or the average temperature value is greater than the standard average value, or the actual area percentage is greater than the standard area percentage, then it is determined that the pulverizer slag discharge door is not in a qualified state during static working time, and no further processing is performed on the outer covered area image. If it is determined that the highest temperature value is less than or equal to the standard highest value, the average temperature value is less than or equal to the standard average value, and the actual area percentage is less than or equal to the standard area percentage, then an outer area judgment instruction is generated. Based on the outer area judgment instruction, it is determined whether the pulverizer slag discharge door is in a qualified state during static working time based on the outer covered area image.

[0125] The region image selection module is further configured to: extract the actual temperature value on the outer coverage area image according to the outer region judgment instruction, wherein the number of the actual temperature values ​​is multiple; filter the number of the actual temperature values ​​that are greater than the standard outer temperature value and set it as a first number; determine whether the first number is within a reasonable number range, wherein the reasonable number range is pre-stored; if it is determined to be within a reasonable number range, then determine that the coal mill slag discharge door is in a qualified state during static working time; if it is determined to be outside a reasonable number range, then determine that the coal mill slag discharge door is not in a qualified state during static working time.

[0126] In one embodiment, such as Figure 3 As shown, a computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps described in the above-described method for evaluating the operating status of coal mills in thermal power plants.

[0127] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps described in the above-described method for evaluating the operating status of a coal mill in a thermal power plant.

[0128] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0129] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0130] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for evaluating the operating status of a coal mill in a thermal power plant, characterized in that, The method includes: During the operation of the coal mill, the initial image of the static slag discharge state temperature of the coal mill slag discharge gate during static working time is obtained based on the preset temperature detection module. The initial image of the static slag discharge state temperature is corrected and a corrected image of the static slag discharge state temperature is generated after the correction is completed. The monitoring area is selected based on the static slag discharge state temperature correction image, and an actual selected area image is generated after the selection is completed. The slag discharge gate of the coal mill is judged to be in a qualified state during the static working time based on the actual selected area image. If the condition is determined to be unqualified, a seal position maintenance prompt is generated and sent to the coal mill maintenance personnel. The seal position maintenance prompt is used to instruct the coal mill maintenance personnel to inspect the coal mill slag discharge door. If the condition is deemed acceptable, the temperature detection module collects a dynamic slag discharge temperature image of the slag discharge outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened, and determines whether the temperature of the slag discharge outlet is abnormal based on the dynamic slag discharge temperature image. The dynamic slag discharge status temperature image includes multiple subdivided dynamic slag discharge images; when it is determined that the number of temperature points exceeding the safe temperature in the subdivided dynamic slag discharge images is greater than the pre-stored safe number, the temperature of the slag discharge port is determined to be in an abnormal state; otherwise, it is determined to be in a normal state. If the temperature of the slag discharge port is determined to be abnormal, the operating status is checked according to the pre-stored temperature abnormality fault check sequence. After the check is completed, actual operating status data is generated, and a coal mill operation evaluation report is generated based on the actual operating status data. The actual selected area image includes a core selected area image and an outer covered area image; The monitoring area is selected based on the static slag discharge temperature correction image, and an actual selected area image is generated after selection. The slag discharge gate of the coal mill is then judged to be in a qualified state during static operation based on the actual selected area image, including: The pre-stored sealing area calibration conditions are obtained based on the actual coordinates of the calibration reference points in the static slag discharge temperature correction image. These calibration conditions include a calibration reference length and an area coverage length, where one calibration reference point corresponds to one calibration reference length. A calibration center point is generated based on the calibration reference length and the actual coordinates of the corresponding calibration reference point. A core selected area image is generated based on the calibration center point and the area coverage length. A pre-stored outer coverage length is uniformly extended outward from the periphery of the core selected area image, and the area formed by this extension is set as the outer coverage area image. The slag discharge gate of the coal mill is determined to be in a qualified state during static operation based on the core selected area image and the outer coverage area image. Determining whether the coal mill slag discharge gate is in a qualified state during static working time based on the core selected area image and the outer covered area image includes: The highest temperature value is extracted from the core selected area image, and detection points are set for the core selected area image. After calibration, current temperature detection points are generated. The current detection temperature value of each current temperature detection point is calculated, and the average temperature value is calculated based on each current detection temperature value. Current detection temperature values ​​greater than or equal to the pre-stored standard temperature value are selected based on each current detection temperature value, and an area image to be evaluated is generated based on the selected current detection temperature values. The current service life of the coal mill slag discharge door is obtained, and the current wear coefficient is generated based on the current service life. The theoretical qualified temperature is generated based on the current wear coefficient and the standard temperature value. The area image to be evaluated that has a temperature greater than the theoretical qualified temperature is extracted from the area image to be evaluated, and the average temperature value is calculated. The image of the undetermined area occupies the area of ​​the image of the area to be evaluated, and an actual area percentage is generated. If it is determined that the highest temperature value is greater than the standard highest value, or the average temperature value is greater than the standard average value, or the actual area percentage is greater than the standard area percentage, then it is determined that the pulverizer slag discharge door is not in a qualified state during static working time, and no further processing is performed on the outer covered area image. If it is determined that the highest temperature value is less than or equal to the standard highest value, the average temperature value is less than or equal to the standard average value, and the actual area percentage is less than or equal to the standard area percentage, then an outer area judgment instruction is generated. Based on the outer area judgment instruction, it is determined whether the pulverizer slag discharge door is in a qualified state during static working time based on the outer covered area image. The outer region judgment instruction determines whether the coal mill slag discharge door is in a qualified state during static working time based on the outer covered area image, including: The actual temperature value on the outer coverage area image is extracted according to the outer area judgment instruction, wherein the number of the actual temperature values ​​is multiple; The number of actual temperature values ​​that are greater than the standard outer temperature value is selected and set as the first number; Determine whether the first quantity is within a reasonable quantity range, wherein the reasonable quantity range is stored in advance; If the quantity is within a reasonable range, then the slag discharge gate of the coal mill is considered to be in a qualified state during static working time. If the quantity is not within a reasonable range, then the slag discharge gate of the coal mill is not in a qualified state during static working time.

2. The method for evaluating the operating status of coal mills in thermal power plants according to claim 1, characterized in that, The temperature anomaly troubleshooting sequence includes a priority troubleshooting level and a normal troubleshooting level. The priority troubleshooting level corresponds to priority troubleshooting items, and the normal troubleshooting level corresponds to normal troubleshooting items. If the temperature at the slag discharge port is determined to be abnormal, the operating status is checked according to the pre-stored temperature anomaly fault troubleshooting sequence. After the troubleshooting is completed, actual operating status data is generated, and a coal mill operation evaluation report is generated based on the actual operating status data, specifically including: If the temperature at the slag discharge port is determined to be abnormal, the priority level in the temperature anomaly fault investigation sequence is extracted, and the priority investigation items corresponding to the priority level are determined. These priority investigation items include grinding media, mill operating load, and mill wear. Historical stored data of the grinding media used within a pre-stored time period is retrieved, and an estimated deviation value for the grinding media is generated based on this historical stored data. This estimated deviation value represents the degree of influence of the grinding media on the mill operation. The actual power data of the mill motor within a pre-stored time period is obtained based on a preset power acquisition module, and an operating load deviation value is generated based on this actual power data. The difference, wherein the operating load deviation value represents the degree of deviation between the current operating power of the coal mill and the power under normal operating conditions, wherein the normal operating conditions are pre-stored; the operating wear data of the coal mill within the pre-stored time period is acquired, and a real-time wear deviation value is generated based on the operating wear data, wherein the real-time wear deviation value represents the degree of deviation between the wear of the coal mill during current operation and under normal operating conditions; a first operating evaluation value is generated based on the coal grinding medium influence value, the load deviation value, and the real-time wear deviation value; actual operating status data is generated based on the first operating evaluation value, and a coal mill operating evaluation report is generated based on the actual operating status data.

3. The method for evaluating the operating status of coal mills in thermal power plants according to claim 2, characterized in that, The first operational evaluation value is generated based on the following formula, taking into account the influence value of the pulverizing media, the load deviation value, and the real-time wear deviation value: ； Where E is the first operational evaluation value, Se is the average size of the pulverizing media, Ms is the strength of the pulverizing media, Fe is the actual media loading of the pulverizing media, S is the standard size of the pulverizing media, M is the standard strength of the pulverizing media, F is the standard media loading of the pulverizing media, N is the number of overloads of the operating power, n is the number of sampling time points, Pei is the i-th overload power, Pmax is the theoretical maximum power consumption, and We is the real-time wear deviation value.

4. The method for evaluating the operating status of coal mills in thermal power plants according to claim 1, characterized in that, During the operation of the coal mill, an initial image of the static slag discharge temperature of the coal mill slag discharge gate during static working time is obtained based on a preset temperature detection module. Correction processing is then performed on this initial image, and a corrected image of the static slag discharge temperature is generated after correction. Specifically, this includes: During coal mill operation, a preset temperature detection module is activated to acquire temperature images of the coal mill's slag discharge gate and generate an initial static slag discharge temperature image. The center point of this initial static slag discharge temperature image is located, and its horizontal and vertical directions are identified. An initial coordinate system is established based on the image center point, horizontal direction, and vertical direction. Within this initial coordinate system, the actual coordinates of preset calibration reference points on the initial static slag discharge temperature image are determined. These calibration reference points correspond to theoretical parameters. Key points: Determine whether the actual coordinates are the same as the pre-stored theoretical coordinates. If they are the same, set the initial image of the static slag discharge state temperature as the static slag discharge state temperature correction image. If they are different, generate coordinate deviation data based on the theoretical coordinates and the actual coordinates, and start the preset detection and adjustment module based on the coordinate deviation data. Control the detection and adjustment module to adjust the data acquisition angle of the temperature detection module until the calibration reference point in the coordinate system established by the temperature detection module based on the acquired data is the same as the theoretical reference point. Then set the acquired image as the static slag discharge state temperature correction image.

5. A system for evaluating the operating status of a coal mill in a thermal power plant, characterized in that, The system applies the power plant coal mill operation status assessment method according to any one of claims 1-4, and the system comprises: The temperature image correction module is used to obtain the initial static slag discharge temperature image of the slag discharge gate of the coal mill during static working time based on the preset temperature detection module when the coal mill is running, perform correction processing based on the initial static slag discharge temperature image, and generate a static slag discharge temperature correction image after the correction is completed. The area image selection module is used to select the monitoring area based on the static slag discharge state temperature correction image, and generate the actual selected area image after the selection is completed. Based on the actual selected area image, it is determined whether the coal mill slag discharge gate is in a qualified state during static working time. An abnormal state judgment module is used to, if the condition is qualified, collect dynamic slag discharge state temperature images of the preset slag discharge outlet monitoring area within a preset time period after the slag discharge door of the coal mill is opened based on the temperature detection module, and determine whether the temperature of the slag discharge outlet is abnormal based on the dynamic slag discharge state temperature images. The assessment report generation module is used to check the operating status according to the pre-stored temperature anomaly fault check sequence if the temperature of the slag discharge port is determined to be abnormal. After the check is completed, the module generates actual operating status data and generates a coal mill operation assessment report based on the actual operating status data.

6. The coal mill operation status assessment system for thermal power plants according to claim 5, characterized in that, The temperature anomaly fault troubleshooting sequence includes a priority troubleshooting level and a normal troubleshooting level, whereby the priority troubleshooting level corresponds to priority troubleshooting items, and the normal troubleshooting level corresponds to normal troubleshooting items; the assessment report generation module is also used for: If the temperature at the slag discharge port is determined to be abnormal, the priority level in the temperature anomaly fault investigation sequence is extracted, and the priority investigation items corresponding to the priority level are determined. These priority investigation items include grinding media, mill operating load, and mill wear. Historical stored data of the grinding media used within a pre-stored time period is retrieved, and an estimated deviation value for the grinding media is generated based on this historical stored data. This estimated deviation value represents the degree of influence of the grinding media on the mill operation. The actual power data of the mill motor within a pre-stored time period is obtained based on a preset power acquisition module, and an operating load deviation value is generated based on this actual power data. The difference, wherein the operating load deviation value represents the degree of deviation between the current operating power of the coal mill and the power under normal operating conditions, wherein the normal operating conditions are pre-stored; the operating wear data of the coal mill within the pre-stored time period is acquired, and a real-time wear deviation value is generated based on the operating wear data, wherein the real-time wear deviation value represents the degree of deviation between the wear of the coal mill during current operation and under normal operating conditions; a first operating evaluation value is generated based on the coal grinding medium influence value, the load deviation value, and the real-time wear deviation value; actual operating status data is generated based on the first operating evaluation value, and a coal mill operating evaluation report is generated based on the actual operating status data.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

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