On-line coal quality monitoring system for raw coal bunker of thermal power plant

Abstract

The invention relates to the technical field of thermal power plant raw coal bunker coal quality monitoring, and provides a thermal power plant raw coal bunker coal quality on-line monitoring system, which comprises an equipment end, a data acquisition end and a controller end, and integrates the functions of coal quality data acquisition and processing, dynamic monitoring parameter adjustment, real-time coal bunker coal quantity measurement, on-line monitoring and the like. The system can collect coal quality data in real time and dynamically adjust monitoring parameters through preprocessing and model prediction so as to improve the accuracy of coal quality monitoring. In addition, the system can also regularly correct the coal level of the coal bunker, calculate the coal quantity and the combustible time, monitor the coal quality parameters and the equipment state on line, and give an alarm in time when abnormity occurs. The problem that an existing system cannot be dynamically adjusted according to coal quality changes is effectively solved, and the accuracy of a monitoring result and the operation stability of a power plant are remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of coal quality monitoring in raw coal bunkers of thermal power plants, and in particular to an online coal quality monitoring system for raw coal bunkers of thermal power plants. Background Art

[0002] With the continuous increase in the price of thermal coal, most power plants reduce the cost of power generation by blending inferior coal. The fluctuation of coal quality causes the quality of coal entering the furnace to deviate seriously from the designed calorific value of the coal, which brings great difficulties to the regulation of the amount of coal entering the furnace and affects the stable combustion and safe operation of the power plant boiler.

[0003] At present, coal sampling in thermal power plants is mostly done manually to obtain the most representative coal samples, and the coal quality data is obtained manually through conventional ash burning test, thus providing a basis for the calorific value of the coal entering the boiler. However, manual sampling and testing have large errors and slow analysis results, and the role of real-time adjustment of coal quality and operation optimization is very limited, and it can no longer meet the current blending needs of inferior coal. Therefore, an equipment system that can analyze coal quality online is needed to realize continuous online detection of coal entering the boiler and provide original data for timely adjustment of boiler combustion.

[0004] At the same time, with the reform of the electricity spot market, in order to obtain the maximum economic benefits, power plants need to combine load forecasts, capacity electricity prices and time-sharing electricity prices to achieve accurate blending of the calorific value of coal entering the furnace. They need to understand the quality of coal entering the furnace and the amount of coal in the coal bunker in real time to meet the adjustment of coal quality when the load changes significantly. At the same time, changes in coal quality also have a great impact on the coordination system of the unit. It is necessary to optimize the regulation system to meet the load requirements of the boiler when the coal quality changes and improve the load response capability of the unit. However, the existing online monitoring system for raw coal bunker coal quality in thermal power plants cannot dynamically adjust the monitoring system according to changes in coal quality, resulting in low accuracy of monitoring results. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an online monitoring system for coal quality in a raw coal bunker of a thermal power plant, which solves the problem that the existing online monitoring system for coal quality in a raw coal bunker of a thermal power plant cannot dynamically adjust the monitoring system according to changes in coal quality, resulting in low accuracy of monitoring results.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0007] The present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, comprising: an equipment end, a data acquisition end and a controller end, wherein the controller end performs online monitoring on the equipment end according to the coal quality data collected by the data acquisition end, and the controller end transmits the online monitoring of the coal quality of the coal bunker to a host computer, and the controller end comprises a coal quality data acquisition unit, a data processing unit, a dynamic monitoring parameter adjustment unit, a real-time coal quantity measurement unit of the coal bunker, and an online monitoring system unit;

[0008] After the coal quality data collection unit collects the coal quality data, it transmits the data to the data processing unit through the communication cable;

[0009] The data processing unit pre-processes and converts the data format of the received data, and then transmits the processed data to the dynamic monitoring parameter adjustment unit through the communication cable;

[0010] The dynamic monitoring parameter adjustment unit analyzes and calculates the received data to determine whether the coal quality parameters are within the preset qualified range. If they are beyond the preset qualified range, a coal quality early warning is triggered. At the same time, the dynamic monitoring parameter adjustment unit also transmits the coal quality data to the online monitoring system unit through the communication cable;

[0011] The real-time coal quantity measurement unit in the coal bunker regularly calibrates the coal level in the coal bunker, calculates the real-time coal quantity and the combustible time, and transmits the calculation results to the online monitoring system unit through the communication cable;

[0012] The online monitoring system unit receives data from the dynamic monitoring parameter adjustment unit and the real-time coal bunker coal quantity measurement unit. When the real-time coal bunker coal quantity measurement unit exceeds the preset qualified range, the online monitoring system unit issues an alarm to remind the control personnel to adjust the parameter settings in the dynamic monitoring parameter adjustment unit.

[0013] Furthermore, the present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, and the coal quality data collection unit is also used for:

[0014] The coal quality data collected by the coal quality data collection unit includes calorific value data, sulfur content data, volatile matter data, ash content data and moisture data.

[0015] Furthermore, the present invention provides an online monitoring system for coal quality in a raw coal bunker of a thermal power plant, wherein the data processing unit is further used for:

[0016] Filter the collected coal quality data, remove noise and outliers, interpolate or eliminate missing or abnormal data, and extract calorific value characteristics, sulfur content characteristics, and volatile matter characteristics from the preprocessed data;

[0017] Use the historical data of coal bunker coal quality online monitoring as the training set to train the neural network model and obtain the coal bunker coal quality prediction model;

[0018] The trained model is deployed to the data processing unit to receive new coal quality data in real time and make coal quality predictions in the coal bunker, so as to obtain real-time coal quality prediction results of the coal bunker. The various parameters in the real-time coal quality prediction results of the coal bunker are used as the preset qualified range for judging the coal quality parameters.

[0019] Furthermore, the present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, and the dynamic monitoring parameter adjustment unit is also used for:

[0020] Establish a data dynamic adjustment period, and build a corresponding coal bunker coal quality prediction model in each data dynamic adjustment period;

[0021] Use each data dynamically adjusted period to build a corresponding coal bunker coal quality prediction model to predict the coal bunker coal quality in real time, and obtain real-time coal bunker coal quality prediction results;

[0022] The real-time coal bunker coal quality prediction results are compared with the actual coal bunker coal quality detection results to obtain the coal bunker coal quality prediction and actual error data.

[0023] Furthermore, the present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, and the real-time coal bunker coal quantity measurement unit is also used for:

[0024] At preset time intervals, the coal level calibration procedure is started, the data during the calibration process is recorded, and compared with the previous coal level data. If a difference is found, the position of the sensor or the calibration parameters are adjusted;

[0025] Determine the geometric shape and size of the coal bunker, including height, width and length, convert the corrected coal position data into the actual height of the coal in the bunker, and calculate the current amount of coal in the bunker by combining the geometric parameters of the coal bunker and the actual height of the coal;

[0026] According to the operation data and historical records of the thermal power plant, the coal consumption rate per unit time is determined, and the real-time coal quantity is divided by the coal consumption rate to obtain the current combustible time of the coal in the coal bunker.

[0027] Furthermore, the present invention provides an online monitoring system for coal quality in a raw coal bunker of a thermal power plant, and the online monitoring system unit is also used for:

[0028] The monitoring displays coal quality parameters, including calorific value, sulfur content, volatile matter, ash content, moisture content, coal quantity in the coal bunker, coal level in the coal bunker, coal burning time in the coal bunker, temperature in the coal bunker, humidity in the coal bunker, and gas concentration in the coal bunker:

[0029] The monitoring displays the equipment status, the working status of the sensor, the working status of the conveying equipment, and equipment failures.

[0030] Furthermore, the present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, and the dynamic monitoring parameter adjustment unit is also used for:

[0031] The coal quality data after preprocessing and format conversion is received from the data processing unit through the communication cable. The dynamic monitoring parameter adjustment unit uses the received coal quality data to perform real-time analysis and calculation to determine whether the calorific value, sulfur content, volatile matter, ash content, and moisture content of the current coal quality parameters are within the preset qualified range;

[0032] If any one of the coal quality parameters is found to be beyond the preset qualified range, the dynamic monitoring parameter adjustment unit dynamically adjusts the parameter settings of the monitoring system;

[0033] If a sudden drop in calorific value is detected, the coal quality has deteriorated, and the sampling frequency should be adjusted to increase the monitoring density of calorific value;

[0034] If the sulfur or ash content exceeds the standard, adjust the detection frequency of the sulfur or ash parameters in the monitoring system, increase the amount of sulfur or ash data, and use it to update the coal quality prediction model of the coal bunker;

[0035] The dynamic monitoring parameter adjustment unit also uses historical data and real-time data to continuously update the coal quality prediction model of the coal bunker. It receives new coal quality data in real time to predict the coal quality of the coal bunker and dynamically adjusts the monitoring parameters according to the prediction results.

[0036] By continuously comparing the real-time coal bunker coal quality prediction results with the actual coal bunker coal quality test results;

[0037] The dynamic monitoring parameter adjustment unit uses a genetic algorithm model to optimize the coal bunker coal quality prediction model to obtain an optimized coal bunker coal quality prediction model.

[0038] Beneficial effects of the present invention: By dynamically adjusting the monitoring parameters, the system can more accurately adapt to changes in coal quality, thereby significantly improving the accuracy of the monitoring results. Secondly, the system collects and processes coal quality data in real time, which enhances the real-time nature of the information and provides operators with timely and accurate information on coal quality and quantity. In addition, by accurately monitoring coal quality, the present invention helps power plants optimize the boiler combustion process and improve economic benefits. At the same time, the real-time monitoring and early warning functions of the system can identify safety hazards in advance and ensure the safe operation of thermal power plants. Finally, the modular design and scalability of the system make it easy to adapt to future changes in demand. Overall, the present invention provides comprehensive support for the safe, stable and efficient operation of thermal power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 A schematic diagram of an online monitoring system for coal quality in a raw coal bunker of a thermal power plant provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0042] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0043] The present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, comprising: an equipment end, a data acquisition end and a controller end, wherein the controller end performs online monitoring on the equipment end according to the coal quality data collected by the data acquisition end, and the controller end transmits the online monitoring of the coal quality of the coal bunker to a host computer, and the controller end comprises a coal quality data acquisition unit, a data processing unit, a dynamic monitoring parameter adjustment unit, a real-time coal quantity measurement unit of the coal bunker, and an online monitoring system unit;

[0044] After the coal quality data collection unit collects the coal quality data, it transmits the data to the data processing unit through the communication cable;

[0045] The data processing unit pre-processes and converts the data format of the received data, and then transmits the processed data to the dynamic monitoring parameter adjustment unit through the communication cable;

[0046] The dynamic monitoring parameter adjustment unit analyzes and calculates the received data to determine whether the coal quality parameters are within the preset qualified range. If they are beyond the preset qualified range, a coal quality early warning is triggered. At the same time, the dynamic monitoring parameter adjustment unit also transmits the coal quality data to the online monitoring system unit through the communication cable;

[0047] The real-time coal quantity measurement unit in the coal bunker regularly calibrates the coal level in the coal bunker, calculates the real-time coal quantity and the combustible time, and transmits the calculation results to the online monitoring system unit through the communication cable;

[0048] The online monitoring system unit receives data from the dynamic monitoring parameter adjustment unit and the real-time coal bunker coal quantity measurement unit. When the real-time coal bunker coal quantity measurement unit exceeds the preset qualified range, the online monitoring system unit issues an alarm to remind the control personnel to adjust the parameter settings in the dynamic monitoring parameter adjustment unit.

[0049] Specifically, the present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, and the coal quality data acquisition unit is also used for:

[0050] The coal quality data collected by the coal quality data collection unit includes calorific value data, sulfur content data, volatile matter data, ash content data and moisture data.

[0051] Specifically, the present invention provides an online monitoring system for coal quality in a raw coal bunker of a thermal power plant, wherein the data processing unit is further used for:

[0052] Filter the collected coal quality data, remove noise and outliers, interpolate or eliminate missing or abnormal data, and extract calorific value characteristics, sulfur content characteristics, and volatile matter characteristics from the preprocessed data;

[0053] Use the historical data of coal bunker coal quality online monitoring as the training set to train the neural network model and obtain the coal bunker coal quality prediction model;

[0054] The trained model is deployed to the data processing unit to receive new coal quality data in real time and make coal quality predictions in the coal bunker, so as to obtain real-time coal quality prediction results of the coal bunker. The various parameters in the real-time coal quality prediction results of the coal bunker are used as the preset qualified range for judging the coal quality parameters.

[0055] Specifically, the present invention provides an online monitoring system for coal quality in a raw coal bunker of a thermal power plant, wherein the dynamic monitoring parameter adjustment unit is further used for:

[0056] Establish a data dynamic adjustment period, and build a corresponding coal bunker coal quality prediction model in each data dynamic adjustment period;

[0057] Use each data dynamically adjusted period to build a corresponding coal bunker coal quality prediction model to predict the coal bunker coal quality in real time, and obtain real-time coal bunker coal quality prediction results;

[0058] The real-time coal bunker coal quality prediction results are compared with the actual coal bunker coal quality detection results to obtain the coal bunker coal quality prediction and actual error data.

[0059] Specifically, the present invention provides an online monitoring system for raw coal bunker coal quality in a thermal power plant, and the real-time coal bunker coal quantity measurement unit is also used for:

[0060] At preset time intervals, the coal level calibration procedure is started, the data during the calibration process is recorded, and compared with the previous coal level data. If a difference is found, the position of the sensor or the calibration parameters are adjusted;

[0061] Determine the geometric shape and size of the coal bunker, including height, width and length, convert the corrected coal position data into the actual height of the coal in the bunker, and calculate the current amount of coal in the bunker by combining the geometric parameters of the coal bunker and the actual height of the coal;

[0062] According to the operation data and historical records of the thermal power plant, the coal consumption rate per unit time is determined, and the real-time coal quantity is divided by the coal consumption rate to obtain the current combustible time of the coal in the coal bunker.

[0063] Specifically, the present invention provides an online monitoring system for coal quality in a raw coal bunker of a thermal power plant, and the online monitoring system unit is also used for:

[0064] The monitoring displays coal quality parameters, including calorific value, sulfur content, volatile matter, ash content, moisture content, coal quantity in the coal bunker, coal level in the coal bunker, coal burning time in the coal bunker, temperature in the coal bunker, humidity in the coal bunker, and gas concentration in the coal bunker:

[0065] The monitoring displays the equipment status, the working status of the sensor, the working status of the conveying equipment, and equipment failures.

[0066] Specifically, the present invention provides an online monitoring system for coal quality in a raw coal bunker of a thermal power plant, wherein the dynamic monitoring parameter adjustment unit is further used for:

[0067] The coal quality data after preprocessing and format conversion is received from the data processing unit through the communication cable. The dynamic monitoring parameter adjustment unit uses the received coal quality data to perform real-time analysis and calculation to determine whether the calorific value, sulfur content, volatile matter, ash content, and moisture content of the current coal quality parameters are within the preset qualified range;

[0068] If any one of the coal quality parameters is found to be beyond the preset qualified range, the dynamic monitoring parameter adjustment unit dynamically adjusts the parameter settings of the monitoring system;

[0069] If a sudden drop in calorific value is detected, the coal quality has deteriorated, and the sampling frequency should be adjusted to increase the monitoring density of calorific value;

[0070] If the sulfur or ash content exceeds the standard, adjust the detection frequency of the sulfur or ash parameters in the monitoring system, increase the amount of sulfur or ash data, and use it to update the coal quality prediction model of the coal bunker;

[0071] The dynamic monitoring parameter adjustment unit also uses historical data and real-time data to continuously update the coal quality prediction model of the coal bunker. It makes coal quality predictions for the coal bunker by receiving new coal quality data in real time, and dynamically adjusts the monitoring parameters based on the prediction results, by continuously comparing the real-time coal bunker coal quality prediction results with the actual coal bunker coal quality detection results.

[0072] The dynamic monitoring parameter adjustment unit uses a genetic algorithm model to optimize the coal bunker coal quality prediction model to obtain an optimized coal bunker coal quality prediction model.

[0073] Coal quality data collection unit: responsible for collecting coal quality data, covering key indicators such as calorific value, sulfur content, volatile matter, etc. Real-time data collection is carried out through sensors in the coal bunker and quickly transmitted to the data processing unit through communication cables.

[0074] Data processing unit: pre-processes the received data, including filtering, removing outliers, etc. Use historical data to train a coal bunker coal quality prediction model and deploy it in the unit to perform real-time coal quality prediction.

[0075] Dynamic monitoring parameter adjustment unit: intelligently adjusts monitoring parameters according to the data and prediction results provided by the data processing unit. If abnormal coal quality parameters are detected, the early warning system will be triggered and parameters such as sampling frequency will be adjusted immediately. At the same time, genetic algorithms will be used to continuously optimize the prediction model.

[0076] Real-time coal quantity measurement unit in coal bunker: Regularly calibrate the coal level in the coal bunker, accurately calculate the real-time coal quantity in the coal bunker and the coal combustible time, and transmit the information to the online monitoring system unit for further analysis and display.

[0077] Online monitoring system unit: Receives and integrates data from other units to fully display coal quality parameters and equipment status. When abnormal coal quality or coal quantity is detected, an alarm will be issued immediately to ensure that operators can respond in time.

[0078] The system adapts more precisely to changes in coal quality through dynamic adjustment functions, thereby greatly improving the accuracy of monitoring results. Operators can obtain the latest data on coal quality and quantity in real time, providing strong support for decision-making. Through precise monitoring and early warning systems, power plants can optimize boiler combustion, improve economic benefits, and identify safety hazards in advance to ensure safe and stable operation.

[0079] The technical solution provided by the present invention solves the problem that the existing online monitoring system for coal quality in raw coal bunkers of thermal power plants cannot dynamically adjust the monitoring system according to changes in coal quality, resulting in low accuracy of monitoring results:

[0080] Coal quality data collection and transmission: The coal quality data collection unit of the present invention can comprehensively collect coal quality data, including key parameters such as calorific value, sulfur content, volatile matter, ash content and moisture content. These data are the basis for evaluating coal quality, and their accurate collection provides a reliable information source for subsequent dynamic adjustments.

[0081] Data processing and model prediction: The data processing unit not only pre-processes and converts the original data, but also uses historical data to train the neural network model to obtain the coal bunker coal quality prediction model. This step enables the system to predict the trend of coal quality changes based on historical data and real-time data, providing a scientific basis for dynamic adjustment.

[0082] Dynamic monitoring parameter adjustment: The dynamic monitoring parameter adjustment unit is the core of the technical solution of the present invention. It dynamically adjusts the parameter settings of the monitoring system according to the real-time coal bunker coal quality prediction results provided by the data processing unit. If it is predicted that the coal quality will change significantly, the unit will adjust the sampling frequency, monitoring sensitivity and other parameters accordingly to ensure that the monitoring system can accurately capture these changes.

[0083] Real-time coal bunker coal quantity measurement and correction: The real-time coal bunker coal quantity measurement unit regularly corrects the coal level in the bunker and calculates the real-time coal quantity and burnable time. This function ensures the accuracy of the coal bunker inventory and provides another important reference for dynamic adjustment.

[0084] Online monitoring and feedback: The online monitoring system unit receives data from the dynamic monitoring parameter adjustment unit and the real-time coal bunker coal quantity measurement unit, and issues an alarm when necessary. This enables operators to understand the real-time status of coal quality and quantity in a timely manner and make necessary adjustments manually or automatically.

[0085] In summary, the present invention integrates multiple links such as data collection, processing, prediction, dynamic adjustment and online monitoring to build an online monitoring system that can dynamically adjust according to changes in coal quality. This dynamic adjustment capability significantly improves the accuracy of monitoring results and solves the problem that the existing system cannot adapt to changes in coal quality.

[0086] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. An online monitoring system for raw coal quality in a thermal power plant, characterized in that: include: Equipment side, data collection side and controller side. The controller side performs online monitoring of the equipment side according to the coal quality data collected by the data collection side. The controller side transmits the online monitoring of coal quality in the coal bunker to the upper computer. The controller side includes a coal quality data collection unit, a data processing unit, a dynamic monitoring parameter adjustment unit, a real-time coal quantity measurement unit in the coal bunker, and an online monitoring system unit. After the coal quality data collection unit collects the coal quality data, it transmits the data to the data processing unit through the communication cable; The data processing unit pre-processes and converts the data format of the received data, and then transmits the processed data to the dynamic monitoring parameter adjustment unit through the communication cable; The dynamic monitoring parameter adjustment unit analyzes and calculates the received data to determine whether the coal quality parameters are within the preset qualified range. If they are beyond the preset qualified range, a coal quality early warning is triggered. At the same time, the dynamic monitoring parameter adjustment unit also transmits the coal quality data to the online monitoring system unit through the communication cable; The real-time coal quantity measurement unit in the coal bunker regularly calibrates the coal level in the coal bunker, calculates the real-time coal quantity and the combustible time, and transmits the calculation results to the online monitoring system unit through the communication cable; The online monitoring system unit receives data from the dynamic monitoring parameter adjustment unit and the real-time coal bunker coal quantity measurement unit. When the real-time coal bunker coal quantity measurement unit exceeds the preset qualified range, the online monitoring system unit issues an alarm to remind the control personnel to adjust the parameter settings in the dynamic monitoring parameter adjustment unit.

2. The online monitoring system for raw coal bunker coal quality in a thermal power plant according to claim 1, characterized in that: The coal quality data acquisition unit is also used for: The coal quality data collected by the coal quality data collection unit includes calorific value data, sulfur content data, volatile matter data, ash content data and moisture data.

3. The online monitoring system for raw coal bunker coal quality in a thermal power plant according to claim 1, characterized in that: The data processing unit is also used to: Filter the collected coal quality data, remove noise and outliers, interpolate or eliminate missing or abnormal data, and extract calorific value characteristics, sulfur content characteristics, and volatile matter characteristics from the preprocessed data; Use the historical data of coal bunker coal quality online monitoring as the training set to train the neural network model and obtain the coal bunker coal quality prediction model; The trained model is deployed to the data processing unit to receive new coal quality data in real time and make coal quality predictions in the coal bunker, so as to obtain real-time coal quality prediction results of the coal bunker. The various parameters in the real-time coal quality prediction results of the coal bunker are used as the preset qualified range for judging the coal quality parameters.

4. The online monitoring system for raw coal bunker coal quality in a thermal power plant according to claim 1, characterized in that: The dynamic monitoring parameter adjustment unit is also used for: Establish a data dynamic adjustment period, and build a corresponding coal bunker coal quality prediction model in each data dynamic adjustment period; Use each data dynamically adjusted period to build a corresponding coal bunker coal quality prediction model to predict the coal bunker coal quality in real time, and obtain real-time coal bunker coal quality prediction results; The real-time coal bunker coal quality prediction results are compared with the actual coal bunker coal quality detection results to obtain the coal bunker coal quality prediction and actual error data.

5. The online monitoring system for raw coal bunker coal quality in a thermal power plant according to claim 1, characterized in that: The real-time bunker coal quantity measurement unit is also used for: At preset time intervals, the coal level calibration procedure is started, the data during the calibration process is recorded, and compared with the previous coal level data. If a difference is found, the position of the sensor or the calibration parameters are adjusted; Determine the geometric shape and size of the coal bunker, including height, width and length, convert the corrected coal position data into the actual height of the coal in the bunker, and calculate the current amount of coal in the bunker by combining the geometric parameters of the coal bunker and the actual height of the coal; According to the operation data and historical records of the thermal power plant, the coal consumption rate per unit time is determined, and the real-time coal quantity is divided by the coal consumption rate to obtain the current combustible time of the coal in the coal bunker.

6. The online monitoring system for raw coal bunker coal quality in a thermal power plant according to claim 1, characterized in that: The online monitoring system unit is also used to: The monitoring displays coal quality parameters, including calorific value, sulfur content, volatile matter, ash content, moisture content, coal quantity in the coal bunker, coal level in the coal bunker, coal burning time in the coal bunker, temperature in the coal bunker, humidity in the coal bunker, and gas concentration in the coal bunker: The monitoring displays the equipment status, the working status of the sensor, the working status of the conveying equipment, and equipment failures.

7. The online monitoring system for raw coal bunker coal quality in a thermal power plant according to claim 1, characterized in that: The dynamic monitoring parameter adjustment unit is also used for: The coal quality data after preprocessing and format conversion is received from the data processing unit through the communication cable. The dynamic monitoring parameter adjustment unit uses the received coal quality data to perform real-time analysis and calculation to determine whether the calorific value, sulfur content, volatile matter, ash content, and moisture content of the current coal quality parameters are within the preset qualified range; If any one of the coal quality parameters is found to be beyond the preset qualified range, the dynamic monitoring parameter adjustment unit dynamically adjusts the parameter settings of the monitoring system; If a sudden drop in calorific value is detected, the coal quality has deteriorated, and the sampling frequency should be adjusted to increase the monitoring density of calorific value; If the sulfur or ash content exceeds the standard, adjust the detection frequency of the sulfur or ash parameters in the monitoring system, increase the amount of sulfur or ash data, and use it to update the coal quality prediction model of the coal bunker; The dynamic monitoring parameter adjustment unit also uses historical data and real-time data to continuously update the coal quality prediction model of the coal bunker. It receives new coal quality data in real time to predict the coal quality of the coal bunker and dynamically adjusts the monitoring parameters according to the prediction results. By continuously comparing the real-time coal bunker coal quality prediction results with the actual coal bunker coal quality test results; The dynamic monitoring parameter adjustment unit uses a genetic algorithm model to optimize the coal bunker coal quality prediction model to obtain an optimized coal bunker coal quality prediction model.

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