Online calibration device and method for air volume at inlet of coal mill

Abstract

The invention relates to an online calibration device and method for the air volume of an inlet of a coal mill, and the device comprises a measurement module which is used for measuring a pressure signal in an air duct of the inlet of the coal mill in a polling manner through at least one measurement probe, and transmitting the pressure signal to a standard electric signal in the air duct of the inlet of the coal mill; the purging module is used for monitoring the impurity concentration around the at least one measuring probe in real time and purging impurities under the condition that the impurity concentration reaches a preset threshold value; the differential pressure transmitter zero marking module is used for controlling zero marking of a differential pressure transmitter; the air tightness self-checking module is used for detecting the air tightness of the coal mill inlet air duct measuring system; the control module is used for calibrating the inlet air volume of the coal mill. Therefore, the problems of inaccurate measurement, incapability of automatic calibration and self-inspection, low measurement efficiency and the like of a coal mill inlet air volume measurement system in related technologies are solved, and meanwhile, the intelligent level, the energy-saving effect and the cooperative capability with other systems of the device are improved through an innovative technology.

Description

Technical Field

[0001] The present application relates to the technical field of coal mill operation monitoring, and in particular to an online calibration device and method for coal mill inlet air volume. Background Art

[0002] In the power generation process of coal-fired units, the pulverizer is the core equipment for coal powder preparation. The accurate measurement of its inlet air volume is crucial to the stable operation of the equipment and combustion efficiency. Relevant guidelines require that the measurement accuracy must be within an error of ±3%.

[0003] When existing measurement systems use differential pressure devices such as Pitot tubes and Venturi tubes, the complex flow field with strong dust and high velocity in the mill inlet air duct can easily cause the measuring probe to clog or wear, resulting in differential pressure signal distortion. For example, the measurement deviation of one unit exceeded 15% after 72 hours of operation. Differential pressure transmitters are affected by temperature drift and mechanical vibration and require regular zero-point calibration. Traditional manual offline calibration takes more than 2 hours and cannot be corrected in real time. Due to untimely calibration, one power plant's annual coal consumption for power generation increased by approximately 0.5%, resulting in losses exceeding 1 million yuan. Faced with uneven airflow in the air duct, existing systems mostly use one or two measuring probes. Single-point measurement leads to cross-sectional air volume calculation errors exceeding 10%, and deviations as high as 20% within 10D downstream of the elbow. Pipeline connection points are prone to leakage due to vibration and corrosion. The existing manual leak detection rate is as high as 15%, which has caused unstable furnace combustion accidents. In addition, traditional devices lack the ability to interact with other monitoring systems and cannot meet the multi-parameter integration and predictive maintenance needs of smart power plants.

[0004] In summary, the existing technology has significant deficiencies in accuracy maintenance, automated calibration, flow field adaptation and intelligent diagnosis. There is an urgent need to develop new measuring devices with online calibration, intelligent purge, multi-point patrol and fault self-diagnosis functions. Summary of the Invention

[0005] The present application provides an online calibration device and method for the coal mill inlet air volume, so as to solve the problems in the related art, such as inaccurate measurement, inability to automatically calibrate and self-check, and low measurement efficiency of the coal mill inlet air volume measurement system. At the same time, innovative technologies are used to improve the intelligence level of the device, energy-saving effects, and coordination capabilities with other systems.

[0006] The first aspect of the present application provides an online calibration device for the inlet air volume of a coal mill, comprising: a measuring module for measuring the pressure signal in the inlet air duct of the coal mill by patrolling with at least one measuring probe, and converting the pressure signal into a standard electrical signal in the inlet air duct of the coal mill; a purge module for monitoring the impurity concentration around the at least one measuring probe in real time, and when the impurity concentration reaches a preset threshold, purging the impurities to generate a purge success signal; a differential pressure transmitter zeroing module for controlling the zeroing of the differential pressure transmitter to generate measurement data that meets preset accuracy conditions; an airtightness self-test module for detecting the airtightness of the coal mill inlet air duct measurement system to generate an airtightness test report; and a control module for calibrating the inlet air volume of the coal mill based on the standard electrical signal, the purge success signal, the measurement data and the airtightness test report.

[0007] Optionally, in one embodiment of the present application, it also includes: a data interaction and collaborative control module, which is used to set the data interaction interface of the coal mill and share the inlet air volume data and operating parameters of the coal mill in real time according to the data interaction interface.

[0008] Optionally, in one embodiment of the present application, the measurement module includes: the at least one measuring probe, used to obtain the air volume data at different positions in the coal mill inlet air duct, and generate the at least one pressure signal based on the air volume data; the differential pressure transmitter, used to convert the at least one pressure signal into the standard electrical signal.

[0009] Optionally, in one embodiment of the present application, the purge module includes: a compressed air source; a purge pipe, the purge pipe being respectively connected to the compressed air source and the at least one measuring probe, for directing the compressed air source to the at least one measuring probe to purge the impurities; a solenoid valve, the solenoid valve being installed on the purge pipe, for controlling the compressed air source to enter the purge pipe; an impurity concentration sensor, the impurity concentration sensor being installed near the at least one measuring probe, for monitoring the impurity concentration near the at least one measuring probe in real time, and starting a purge program to purge the impurities when the impurity concentration reaches a preset threshold.

[0010] Optionally, in one embodiment of the present application, the differential pressure transmitter zeroing module includes: a standard zero-pressure gas source; a zero-pressure switching valve, used to switch between the standard zero-pressure gas source and the differential pressure transmitter to control the automatic zeroing of the differential pressure transmitter and generate the measurement data that meets the preset accuracy conditions; a connecting pipe, one end of the connecting pipe is connected to the standard zero-pressure gas source, and the other end is connected to the zero-pressure switching valve, used to guide the standard zero-pressure gas source to the differential pressure transmitter through the zero-pressure switching valve.

[0011] Optionally, in one embodiment of the present application, the airtightness self-test module includes: a pressure sensor, which is installed in the self-test air circuit and is used to monitor the pressure changes of the self-test air circuit; a sealing valve, which is used to control the self-test air circuit to be in a closed state or an open state; a self-test air circuit, which is respectively connected to the coal mill inlet air duct and the self-test air source, and is used to inflate the closed circuit through the self-test air source after the sealing valve is closed to form a closed circuit.

[0012] Optionally, in one embodiment of the present application, the control module includes: a prediction unit, configured to obtain operating data of the coal mill and predict a failure risk of the coal mill based on the operating data.

[0013] A second aspect of the present application provides an online calibration method for the inlet air volume of a coal mill, comprising: measuring the pressure signal in the inlet air duct of the coal mill by patrol, and converting the pressure signal into a standard electrical signal in the inlet air duct of the coal mill; monitoring the impurity concentration in real time, and when the impurity concentration reaches a preset threshold, purging the impurities to generate a purging success signal; generating measurement data that meets preset accuracy conditions; generating an air tightness test report; and calibrating the inlet air volume of the coal mill based on the standard electrical signal, the purging success signal, the measurement data and the air tightness test report.

[0014] Optionally, in one embodiment of the present application, it further includes: setting a data interaction interface for the coal mill, and sharing the inlet air volume data and operating parameters of the coal mill in real time according to the data interaction interface.

[0015] Optionally, in one embodiment of the present application, the patrol measurement measures the pressure signal in the coal mill inlet air duct and converts the pressure signal into a standard electrical signal in the coal mill inlet air duct, including: air volume data at different positions in the coal mill inlet air duct, and generating the at least one pressure signal based on the air volume data; converting the at least one pressure signal into the standard electrical signal.

[0016] Optionally, in one embodiment of the present application, the real-time monitoring of impurity concentration and, when the impurity concentration reaches a preset threshold, purging the impurities to generate a purge success signal include: a compressed air source; directing the compressed air source to the at least one measuring probe to purge the impurities; controlling the compressed air source to enter the purge pipe; real-time monitoring of the impurity concentration near the at least one measuring probe, and, when the impurity concentration reaches a preset threshold, starting a purge program to purge the impurities.

[0017] Optionally, in one embodiment of the present application, the generating of measurement data that meets preset accuracy conditions includes: a standard zero-pressure gas source; controlling the differential pressure transmitter to automatically zero, and generating the measurement data that meets the preset accuracy conditions.

[0018] Optionally, in one embodiment of the present application, generating an air tightness test report includes: monitoring the pressure changes of the self-test air circuit; controlling the self-test air circuit to be in a closed state or an open state; and after the sealing valve is closed to form a closed circuit, inflating the closed circuit through the self-test air source.

[0019] Optionally, in one embodiment of the present application, calibrating the coal mill inlet air volume includes: acquiring operating data of the coal mill, and predicting the failure risk of the coal mill based on the operating data.

[0020] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the online calibration method for the coal mill inlet air volume as described in the above embodiment.

[0021] A fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, the above-mentioned online calibration method for the coal mill inlet air volume is implemented.

[0022] The embodiment of the present application integrates a measurement module, a purge module, a differential pressure transmitter zeroing module, an airtightness self-test module, and a control module, and innovatively introduces intelligent diagnostic algorithms and multi-system data interaction technology to achieve high-precision online measurement of air volume, automated maintenance of equipment, and coordinated optimization with the power generation system. The device can compensate for the influence of dynamic working conditions such as temperature and pressure in real time, automatically predict component failures, significantly improve the comprehensiveness and accuracy of measurements, reduce manual maintenance costs, and provide an efficient and reliable solution for the stable operation of the coal mill and the improvement of the efficiency of the thermal power generation system. As a result, the problems of inaccurate measurement, inability to automatically calibrate and self-test, and low measurement efficiency of the coal mill inlet air volume measurement system in related technologies are solved. At the same time, the intelligent level of the device, energy-saving effect, and coordination ability with other systems are improved through innovative technologies.

[0023] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 Schematic diagram of the structure of an online calibration device for coal mill inlet air volume provided according to an embodiment of the present application; Figure 2 Schematic diagram of the principle of an online calibration device for coal mill inlet air volume according to one embodiment of the present application; Figure 3 Schematic diagram of a flow chart of an online calibration method for coal mill inlet air volume provided according to an embodiment of the present application; Figure 4 A schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0026] The following describes an online calibration device and method for the mill inlet air volume according to an embodiment of the present application with reference to the accompanying drawings. In response to the problems of the mill inlet air volume measurement system being inaccurate in measurement, unable to automatically calibrate and self-check, and having low measurement efficiency in the related technologies mentioned in the above background technology, and at the same time improving the intelligence level, energy-saving effect and coordination ability of the device with other systems through innovative technologies, the present application provides an online calibration device for the mill inlet air volume. In the device, by integrating a measurement module, a purge module, a differential pressure transmitter zeroing module, an airtightness self-checking module and a control module, and innovatively introducing an intelligent diagnostic algorithm and multi-system data interaction technology, high-precision online measurement of air volume, automated maintenance of equipment and coordinated optimization with the power generation system are achieved. The device can compensate for the influence of dynamic working conditions such as temperature and pressure in real time, automatically predict component failures, significantly improve the comprehensiveness and accuracy of measurement, reduce manual maintenance costs, and provide an efficient and reliable solution for the stable operation of the mill and the improvement of the efficiency of the thermal power generation system. This solves the problems of inaccurate measurement, inability to automatically calibrate and self-check, and low measurement efficiency in the coal mill inlet air volume measurement system in related technologies. At the same time, innovative technologies are used to improve the device's intelligence level, energy-saving effects, and coordination capabilities with other systems.

[0027] Specifically, Figure 1 This is a structural schematic diagram of an online calibration device for coal mill inlet air volume provided in an embodiment of the present application.

[0028] like Figure 1As shown, the online calibration device 10 for coal mill inlet air volume includes: a measurement module 100 , a purge module 200 , a differential pressure transmitter zeroing module 300 , an airtightness self-test module 400 and a control module 500 .

[0029] Specifically, the measuring module 100 is used to measure the pressure signal in the coal mill inlet air duct by patrolling with at least one measuring probe, and convert the pressure signal into a standard electrical signal in the coal mill inlet air duct.

[0030] It can be understood that the at least one measuring probe in the embodiment of the present application is a plurality of measuring probes; the integrated measurement module 100 can perform multi-probe patrol measurement.

[0031] During the actual implementation process, the measurement module 100 in the embodiment of the present application can use at least one measuring probe to patrol and measure the pressure signal in the coal mill inlet air duct, and convert the pressure signal into a standard electrical signal in the coal mill inlet air duct, so as to facilitate transmission to the subsequent control module 500 for processing and analysis.

[0032] The measurement module 100 in the embodiment of the present application combines the optimization algorithm and the patrol measurement method, thereby reducing the measurement error and significantly improving the measurement accuracy.

[0033] Optionally, in one embodiment of the present application, the measurement module 100 includes: at least one measuring probe for acquiring air volume data at different positions in the coal mill inlet air duct and generating at least one pressure signal based on the air volume data; and a differential pressure transmitter for converting at least one pressure signal into a standard electrical signal.

[0034] Specifically, the measurement module 100 in this embodiment of the present application comprises multiple measurement probes strategically distributed throughout the coal mill inlet air duct. Each measurement probe is connected to a differential pressure transmitter, which in turn is electrically connected to the control module 500. The measurement probes sequentially measure air volume data at various locations within the air duct, comprehensively and accurately capturing air volume data at various locations within the air duct and effectively avoiding single-point measurement errors. The measurement probes collect pressure signals within the air duct. The differential pressure transmitter converts the pressure differential signals detected by the measurement probes into standard electrical signals, which are then transmitted to the control module for processing and analysis.

[0035] The embodiment of the present application can measure and process air volume: after the system is started, the measuring probes measure simultaneously, collect the air volume data of each measuring point and transmit it to the controller. The controller uses the optimized measurement algorithm to process and analyze the data, and makes real-time compensation and correction to obtain accurate air volume data.

[0036] The purge module 200 is used to monitor the impurity concentration around at least one measuring probe in real time, and purge the impurities when the impurity concentration reaches a preset threshold, thereby generating a purge success signal.

[0037] It is understandable that the purge module 200 in the embodiment of the present application is capable of adaptively removing impurities.

[0038] During actual execution, the purge module 200 in the embodiment of the present application can monitor the impurity concentration around at least one measuring probe in real time, implement adaptive purge control, and purge impurities when the impurity concentration reaches a preset threshold, generating a purge success signal.

[0039] The adaptive purge function of the purge module 200 in the embodiment of the present application effectively extends the service life of the measuring probe and reduces maintenance costs.

[0040] Optionally, in one embodiment of the present application, the purge module 200 includes: a compressed air source; a purge pipe, the purge pipe being connected to the compressed air source and at least one measuring probe, respectively, for directing the compressed air source to the at least one measuring probe to purge impurities; a solenoid valve, the solenoid valve being installed on the purge pipe, for controlling the compressed air source to enter the purge pipe; an impurity concentration sensor, the impurity concentration sensor being installed near the at least one measuring probe, for monitoring the impurity concentration near the at least one measuring probe in real time, and starting the purge program to purge impurities when the impurity concentration reaches a preset threshold.

[0041] Among them, the purge module 200 in the embodiment of the present application includes: a compressed air source, a solenoid valve and a purge pipe. One end of the purge pipe is connected to the compressed air source, and the other end is connected to the measuring probe. The solenoid valve is installed on the purge pipe and is electrically connected to the control module. When the measuring probe is affected by the adhesion of impurities such as dust and affects the measurement accuracy, the control module 500 controls the solenoid valve to open and purge the measuring probe with compressed air to ensure measurement accuracy. In addition, an impurity concentration sensor is added near the measuring probe to monitor the impurity concentration in real time and realize adaptive purge control. When the impurity concentration reaches the set threshold, the purge program is automatically started, and the purge time and pressure are dynamically adjusted according to the concentration.

[0042] The embodiment of the present application can perform purge control: the impurity concentration sensor monitors the impurity concentration around the measuring probe in real time. When the concentration reaches a set threshold, the PLC (Programmable Logic Controller) controller starts the purge program, dynamically adjusts the purge time and pressure according to the concentration, and continues monitoring after the purge is completed.

[0043] The differential pressure transmitter zeroing module 300 is used to control the zeroing of the differential pressure transmitter to generate measurement data that meets preset accuracy conditions.

[0044] It is understandable that the differential pressure transmitter zeroing module 300 in the embodiment of the present application can automatically calibrate the zero point.

[0045] During actual implementation, the differential pressure transmitter zeroing module 300 in the embodiment of the present application can control the zeroing of the differential pressure transmitter to generate measurement data that meets preset accuracy conditions, thereby ensuring the accuracy of the measurement data.

[0046] This embodiment of the present application can zero a differential pressure transmitter: a PLC controller periodically controls the differential pressure transmitter zeroing module 300 to automatically zero the transmitter, ensuring accurate measurements. Meanwhile, a new energy-saving standard zero-pressure air source generator reduces energy consumption. The energy-saving design and automatic zeroing function of the differential pressure transmitter zeroing module 300 ensure accurate and reliable measurement data.

[0047] It should be noted that the preset accuracy condition can be set by those skilled in the art according to actual conditions and is not specifically limited here.

[0048] Optionally, in one embodiment of the present application, the differential pressure transmitter zeroing module 300 includes: a standard zero-pressure gas source; a zero-pressure switching valve, used to switch between the standard zero-pressure gas source and the differential pressure transmitter to control the automatic zeroing of the differential pressure transmitter and generate measurement data that meets preset accuracy conditions; a connecting pipe, one end of the connecting pipe is connected to the standard zero-pressure gas source, and the other end is connected to the zero-pressure switching valve, used to guide the standard zero-pressure gas source to the differential pressure transmitter through the zero-pressure switching valve.

[0049] Specifically, the differential pressure transmitter zeroing module 300 in the embodiment of the present application consists of a standard zero-pressure air source, a zero-pressure switching valve, and connecting pipes. The standard zero-pressure air source is connected to the differential pressure transmitter via the connecting pipes and the zero-pressure switching valve, which is electrically connected to the control module. The control module 500 controls the zero-pressure switching valve to switch to the standard zero-pressure air source, automatically zeroing the differential pressure transmitter and ensuring measurement data accuracy. Furthermore, a new energy-saving standard zero-pressure air source generator is used to reduce energy consumption.

[0050] The air tightness self-test module 400 is used to detect the air tightness of the coal mill inlet air duct measurement system to generate an air tightness test report.

[0051] It can be understood that the airtightness self-test module 400 in the embodiment of the present application can intelligently detect air leaks.

[0052] During actual implementation, the air tightness self-test module 400 in the embodiment of the present application can detect the air tightness of the coal mill inlet air duct measurement system to generate an air tightness test report.

[0053] The embodiment of the present application can perform airtightness self-test: the PLC controller controls the airtightness self-test module to perform tests regularly or irregularly according to production schedule or system operation status. If the pressure sensor feedback data is abnormal, the controller will issue an alarm signal to prompt the staff to check and repair.

[0054] Optionally, in one embodiment of the present application, the airtightness self-test module 400 includes: a pressure sensor, which is installed in the self-test air circuit and is used to monitor the pressure changes in the self-test air circuit; a sealing valve, which is used to control the self-test air circuit to be in a closed state or an open state; a self-test air circuit, which is respectively connected to the coal mill inlet air duct and the self-test air source, and is used to inflate the closed circuit through the self-test air source after the sealing valve is closed to form a closed circuit.

[0055] In actual implementation, the airtightness self-test module 400 in the embodiment of this application comprises a pressure sensor, a sealing valve, and a self-test air circuit. The pressure sensor is installed in the self-test air circuit, one end of which is connected to the coal mill inlet air duct and the other end is connected to the self-test air source via the sealing valve. The control module 500 controls the sealing valve to close, forming a closed circuit, and then opens the self-test air source to inflate the system. The pressure sensor monitors pressure changes to determine system airtightness.

[0056] The airtightness self-test module 400 in the embodiment of the present application can promptly detect air leakage problems in the device and ensure stable operation of the device.

[0057] The control module 500 is used to calibrate the coal mill inlet air volume based on the standard electrical signal, the purge success signal, the measurement data and the air tightness test report.

[0058] It is understandable that the control module 500 in the embodiment of the present application can be precisely controlled using PLC.

[0059] The control module 500 in the embodiment of the present application can calibrate the coal mill inlet air volume based on standard electrical signals, a purge success signal, measurement data, and airtightness test reports. It utilizes a PLC controller, connected to each module via signal lines, to receive feedback data and control the operation of each module. The PLC controller offers flexible programming and high reliability, allowing for precise control of the device based on actual needs. Furthermore, the control module dynamically adjusts the operating frequency and power of each module based on changes in coal mill load, achieving energy-efficient operation.

[0060] The coal mill inlet air volume online calibration device in this application can operate stably and accurately, realize efficient online calibration and monitoring of the coal mill inlet air volume, and improve the overall performance of the coal-fired unit.

[0061] Optionally, in one embodiment of the present application, the control module 500 includes: a prediction unit, configured to obtain operating data of the coal mill and predict the failure risk of the coal mill based on the operating data.

[0062] It can be understood that the prediction unit in the embodiment of the present application corresponds to Figure 2 Intelligent diagnosis and prediction module in.

[0063] In actual implementation, the intelligent diagnosis and prediction module in this embodiment, integrated into the control module 500, collects operating data from various device components and builds a fault prediction model using a random forest algorithm. When components such as measuring probes, solenoid valves, and differential pressure transmitters experience performance degradation or potential failure risks, it provides early warnings, fault cause analysis, and repair recommendations, enabling preventive maintenance.

[0064] This embodiment of the application enables intelligent diagnosis and prediction: The intelligent diagnosis and prediction unit continuously collects operating data from various components, uses a random forest algorithm to analyze and predict faults, provides early warnings, and provides maintenance recommendations. The intelligent diagnosis and prediction module enables preventive maintenance, reduces equipment downtime, and improves coal mill operational reliability.

[0065] Optionally, in one embodiment of the present application, the online calibration device 10 for the inlet air volume of the coal mill further includes: a data interaction and collaborative control module, which is used to set the data interaction interface of the coal mill, and share the inlet air volume data and operating parameters of the coal mill in real time according to the data interaction interface.

[0066] As can be understood, the embodiments of this application innovatively incorporate intelligent diagnostic algorithms and multi-system data exchange technology, enabling high-precision online air volume measurement, automated equipment maintenance, and coordinated optimization with the power generation system. The device can compensate for the effects of dynamic operating conditions such as temperature and pressure in real time, automatically predict component failures, significantly improve measurement comprehensiveness and accuracy, and reduce manual maintenance costs, providing a highly efficient and reliable solution for stable coal mill operation and improved efficiency of thermal power generation systems.

[0067] As a possible implementation method, the data interaction module in the embodiment of the present application: sets up a data interaction interface with other monitoring systems of the coal mill (such as the temperature monitoring system, the vibration monitoring system) and the entire thermal power generation control system to realize real-time data sharing and collaborative analysis, and provide data support for the overall optimization and control of the power generation system. The embodiment of the present application can perform data interaction and collaborative control: the data interaction module realizes data sharing of the coal mill inlet air volume data with other monitoring systems and the power generation control system. For example, the burner fuel supply is automatically adjusted according to the change in air volume, the combustion process is optimized, and the power generation efficiency is improved. The data interaction module promotes data sharing and collaborative control of multiple devices, improves the overall efficiency of the power generation system, and reduces energy consumption.

[0068] The device installation and connection process for this application involves scientifically and rationally arranging the measurement probe installation locations based on the size and shape of the coal mill inlet air duct to ensure full coverage of the air volume measurement area. The purge pipe, the differential pressure transmitter zeroing module 300 connection pipe, and the air tightness self-test module 400 self-test air path are then connected. Signal cables are then used to connect each component to the PLC controller. Simultaneously, the intelligent diagnosis and prediction module and the data exchange module are configured and connected.

[0069] Measurement method: Air volume measurement algorithm optimization: Develop a new measurement algorithm based on data collected by the measuring probe, combining fluid mechanics principles and advanced data analysis methods. This algorithm comprehensively considers the impact of dynamic operating parameters such as temperature and pressure fluctuations during mill operation on air volume, performs real-time compensation and correction, and improves measurement accuracy.

[0070] Theoretical flow calculation model:

[0071] in: is the theoretical volume flow rate , is the flow coefficient (typical value 0.98), A is the measurement cross-sectional area ( ㎡ ), is the differential pressure ( kPa ), is the air density , is the diameter ratio, = d / D, D is the throat diameter (m), and D is the pipe diameter (m).

[0072] Air density dynamic compensation model:

[0073] in, is the absolute pressure (Pa), , is the gas constant of air (287.1 J / (kg・K)), is the absolute temperature (K), , is the gauge pressure ( kPa ), The temperature is in degrees Celsius (°C).

[0074] Dynamic working condition parameter compensation model:

[0075] The compensation function It can be expressed as:

[0076] in, : Temperature compensation coefficient (0.00367 / °C), is the pressure compensation coefficient (0.0001 / kPa), is the reference temperature (°C, usually 20°C), is the reference pressure (kPa, usually 0), is the correction term of the random forest model.

[0077] Machine learning enhanced correction model:

[0078] in, is the random forest regression model, are model parameters (obtained through historical data training), Input feature vectors (temperature, pressure, differential pressure) to the model.

[0079] Multi-point measurement fusion model:

[0080] in, For the i The compensated flow rate of each measuring point is For the i Position correction coefficient of each measuring point, is the flow distribution uniformity coefficient, is the number of measurement points.

[0081] Calculation of flow distribution uniformity coefficient:

[0082] Among them, the coefficient of variation CV is:

[0083] in, Compensate the standard deviation of the flow rate at each measuring point, The mean value of the flow rate compensation for each measuring point.

[0084] The actual flow formula after comprehensive correction is:

[0085] The adaptive purge control method in the embodiment of the present application includes: the impurity concentration sensor monitors the impurity concentration around the measuring probe in real time. When the concentration reaches a threshold, the control module 500 starts the purge program and dynamically adjusts the purge time and pressure according to the concentration. The intelligent fault diagnosis and prediction method includes: the intelligent diagnosis and prediction module continuously collects the operating data of each component, uses the random forest algorithm to analyze, predicts component failures, and issues early warnings. The multi-device data interaction and collaborative control method includes: through the data interaction module, the real-time sharing of the mill inlet air volume data and other operating parameters is realized. For example, the burner fuel supply is automatically adjusted according to the change in air volume to optimize the combustion process.

[0086] According to the online calibration device for the mill inlet air volume proposed in the embodiment of the present application, by integrating the measurement module, purge module, differential pressure transmitter zeroing module, airtightness self-test module and control module, and innovatively introducing intelligent diagnostic algorithms and multi-system data interaction technology, high-precision online measurement of air volume, automated maintenance of equipment and coordinated optimization with the power generation system are achieved. The device can compensate for the influence of dynamic working conditions such as temperature and pressure in real time, automatically predict component failures, significantly improve the comprehensiveness and accuracy of measurements, reduce manual maintenance costs, and provide an efficient and reliable solution for the stable operation of the mill and the improvement of the efficiency of the thermal power generation system. As a result, the problems of inaccurate measurement, inability to automatically calibrate and self-test, and low measurement efficiency of the mill inlet air volume measurement system in the related technology are solved. At the same time, the intelligent level of the device, energy-saving effect and coordination ability with other systems are improved through innovative technologies.

[0087] Next, an online calibration method for the coal mill inlet air volume proposed in an embodiment of the present application will be described with reference to the accompanying drawings.

[0088] like Figure 3 As shown, the online calibration method of the coal mill inlet air volume includes the following steps: In step S301, the pressure signal in the coal mill inlet air duct is measured in a patrol manner, and the pressure signal is converted into a standard electrical signal in the coal mill inlet air duct.

[0089] In step S302 , the impurity concentration is monitored in real time, and when the impurity concentration reaches a preset threshold, the impurities are purged and a purge success signal is generated.

[0090] In step S303 , measurement data that meets a preset accuracy condition is generated.

[0091] In step S304, an airtightness test report is generated.

[0092] In step S305 , the coal mill inlet air volume is calibrated based on the standard electrical signal, the purge success signal, the measurement data and the air tightness test report.

[0093] Optionally, in one embodiment of the present application, the online calibration method of the coal mill inlet air volume further includes: setting a data interaction interface of the coal mill, and sharing the coal mill inlet air volume data and operating parameters in real time according to the data interaction interface.

[0094] Optionally, in one embodiment of the present application, the pressure signal in the coal mill inlet air duct is measured in a patrol manner, and the pressure signal is converted into a standard electrical signal in the coal mill inlet air duct, including: air volume data at different positions in the coal mill inlet air duct, and generating at least one pressure signal based on the air volume data; converting at least one pressure signal into a standard electrical signal.

[0095] Optionally, in one embodiment of the present application, the impurity concentration is monitored in real time, and when the impurity concentration reaches a preset threshold, the impurities are purged to generate a purge success signal, including: a compressed air source; directing the compressed air source to at least one measuring probe to purge impurities; controlling the compressed air source to enter the purge pipeline; monitoring the impurity concentration near at least one measuring probe in real time, and starting the purge program to purge impurities when the impurity concentration reaches a preset threshold.

[0096] Optionally, in one embodiment of the present application, generating measurement data that meets preset accuracy conditions includes: a standard zero-pressure gas source; controlling the differential pressure transmitter to automatically zero, and generating measurement data that meets the preset accuracy conditions.

[0097] Optionally, in one embodiment of the present application, generating an air tightness test report includes: monitoring the pressure changes of the self-test air circuit; controlling the self-test air circuit to be in a closed state or an open state; and inflating the closed circuit through the self-test air source after the sealing valve is closed to form a closed circuit.

[0098] Optionally, in one embodiment of the present application, calibrating the coal mill inlet air volume includes: acquiring operating data of the coal mill, and predicting the failure risk of the coal mill based on the operating data.

[0099] It should be noted that the above explanation of the embodiment of the online calibration device for the coal mill inlet air volume is also applicable to the online calibration method for the coal mill inlet air volume of this embodiment, and will not be repeated here.

[0100] According to the online calibration method of the coal mill inlet air volume proposed in the embodiment of the present application, it involves a method with functions such as patrol measurement, automatic purging, automatic zeroing of the differential pressure transmitter, and airtightness self-test, and is innovative in measurement algorithm, intelligent diagnosis, data interaction, purging control, and energy-saving design. It realizes high-precision online measurement of air volume, automated maintenance of equipment, and coordinated optimization with the power generation system. The device can compensate for the influence of dynamic working conditions such as temperature and pressure in real time, automatically predict component failures, significantly improve the comprehensiveness and accuracy of measurement, reduce manual maintenance costs, and provide an efficient and reliable solution for the stable operation of the coal mill and the improvement of the efficiency of the thermal power generation system. As a result, the problems of inaccurate measurement, inability to automatically calibrate and self-test, and low measurement efficiency of the coal mill inlet air volume measurement system in the related art are solved. At the same time, the intelligent level of the device, energy-saving effect, and coordination ability with other systems are improved through innovative technology.

[0101] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include: Memory 401 , processor 402 , and computer programs stored in the memory 401 and executable on the processor 402 .

[0102] When the processor 402 executes the program, the online calibration method for the coal mill inlet air volume provided in the above embodiment is implemented.

[0103] Furthermore, the electronic device further includes: The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0104] The memory 401 is used to store computer programs that can be run on the processor 402 .

[0105] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0106] If the memory 401, processor 402, and communication interface 403 are implemented independently, the communication interface 403, memory 401, and processor 402 can be connected to each other via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be divided into address buses, data buses, control buses, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0107] Optionally, in a specific implementation, if the memory 401 , the processor 402 and the communication interface 403 are integrated on a chip, the memory 401 , the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0108] The processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0109] This embodiment further provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the above-mentioned online calibration method for the coal mill inlet air volume is implemented.

[0110] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0111] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0112] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0113] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" is any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (not exhaustive) of computer-readable media include: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0114] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0115] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0116] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0117] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. An online calibration device for coal mill inlet air volume, characterized in that: include: A measuring module, configured to measure a pressure signal in the coal mill inlet air duct by patrolling with at least one measuring probe, and convert the pressure signal into a standard electrical signal in the coal mill inlet air duct; a purge module, configured to monitor in real time the concentration of impurities around the at least one measuring probe, and purge the impurities when the impurity concentration reaches a preset threshold, thereby generating a purge success signal; A differential pressure transmitter zeroing module is used to control the zeroing of the differential pressure transmitter to generate measurement data that meets preset accuracy conditions; Air tightness self-test module, used to detect the air tightness of the coal mill inlet air duct measurement system and generate an air tightness test report; A control module is used to calibrate the coal mill inlet air volume based on the standard electrical signal, the purge success signal, the measurement data and the air tightness detection report.

2. The coal mill inlet air volume online calibration device according to claim 1, characterized in that: Also includes: The data interaction and collaborative control module is used to set the data interaction interface of the coal mill and share the inlet air volume data and operating parameters of the coal mill in real time according to the data interaction interface.

3. The coal mill inlet air volume online calibration device according to claim 1, characterized in that: The measurement module includes: The at least one measuring probe is used to obtain air volume data at different positions in the coal mill inlet air duct and generate the at least one pressure signal according to the air volume data; The differential pressure transmitter is used to convert the at least one pressure signal into the standard electrical signal.

4. The coal mill inlet air volume online calibration device according to claim 3, characterized in that: The purge module comprises: Compressed air source; a purge pipe, the purge pipe being connected to the compressed air source and the at least one measuring probe, respectively, and being used to direct the compressed air source to the at least one measuring probe to purge the impurities; a solenoid valve, the solenoid valve being installed on the purge pipeline and being used to control the compressed air source to enter the purge pipeline; An impurity concentration sensor is installed near the at least one measuring probe and is used to monitor the impurity concentration near the at least one measuring probe in real time, and to start a purge program to purge the impurities when the impurity concentration reaches a preset threshold.

5. The coal mill inlet air volume online calibration device according to claim 1, characterized in that: The differential pressure transmitter zeroing module includes: Standard zero-pressure gas source; a zero-pressure switching valve, configured to switch between the standard zero-pressure gas source and the differential pressure transmitter, so as to control the automatic zeroing of the differential pressure transmitter and generate the measurement data meeting the preset accuracy conditions; A connecting pipe, one end of which is connected to the standard zero-pressure gas source, and the other end of which is connected to the zero-pressure switching valve, is used to guide the standard zero-pressure gas source to the differential pressure transmitter through the zero-pressure switching valve.

6. The coal mill inlet air volume online calibration device according to claim 1, characterized in that: The airtightness self-test module includes: a pressure sensor, the pressure sensor being installed in the self-test gas path and being used to monitor pressure changes in the self-test gas path; A sealing valve, used to control the self-test air path to be in a closed state or an open state; The self-test air circuit is connected to the coal mill inlet air duct and the self-test air source respectively, and is used to inflate the closed circuit through the self-test air source after the sealing valve is closed to form a closed circuit.

7. The coal mill inlet air volume online calibration device according to claim 1, characterized in that: The control module includes: The prediction unit is used to obtain the operating data of the coal mill and predict the failure risk of the coal mill based on the operating data.

8. A method for online calibration of coal mill inlet air volume, characterized in that: The following steps are involved: measuring the pressure signal in the coal mill inlet air duct by patrolling, and converting the pressure signal into a standard electrical signal in the coal mill inlet air duct; Monitor the impurity concentration in real time, and when the impurity concentration reaches a preset threshold, purge the impurities and generate a purge success signal; Generate measurement data that meets preset accuracy conditions; Generate air tightness test report; The coal mill inlet air volume is calibrated based on the standard electrical signal, the purge success signal, the measurement data and the air tightness test report.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the online calibration method for the coal mill inlet air volume as claimed in claim 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the online calibration method for the coal mill inlet air volume as claimed in claim 8.

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