Dust removal device monitoring system, method and device, electronic equipment and storage medium

Abstract

The invention provides a dust removal device monitoring system, method and device, electronic equipment and a storage medium. The system comprises a dust hopper monitoring module, a vibration monitoring module, a signal processing module and an analysis control module. Compared with the prior art, the dust hopper monitoring module and the rapping monitoring module are arranged in the embodiment of the invention, so that the system can monitor the states of key parts, the dust hopper and the rapping device of the electrostatic dust collection device in real time; an ash hopper monitoring signal and a state monitoring signal of the rapping device can reflect the operation condition of the dust removal device in real time, so that potential problems can be found in time; once an abnormal condition is monitored, the system can quickly give out early warning through the analysis control module, so that the risk of fault occurrence is reduced, and the reliability and the safety of the equipment are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of fault monitoring, and in particular to a dust removal device monitoring system and method, device, electronic equipment and storage medium. Background Art

[0002] In the process of power production, the electrostatic precipitator is an important dust removal equipment in thermal power plants. Its stable operation is of great significance to ensure that dust emissions meet standards, reduce pollution costs, and achieve energy conservation and environmental protection goals. However, in the actual operation process, the soft and stable power supply cabinet of the electrostatic precipitator will frequently fail due to various reasons. These failures not only lead to the inability to generate high-voltage direct current and effectively collect fly ash, but also increase the load of the subsequent soft and stable power supply cabinet, causing too much fly ash to enter the absorption tower, affecting the quality of the absorption tower slurry. What's more serious is that if multiple soft and stable power supply cabinets exit due to failures, it will also cause the unit to shut down, seriously affecting the stability and safety of power production. Therefore, it is necessary to perform fault monitoring and fault analysis on the electrostatic precipitator in order to improve the stability of the electrostatic precipitator. Summary of the invention

[0003] The present invention provides a dust removal device monitoring system and method, device, electronic device and storage medium, the main purpose of which is to solve the problem of frequent soft and stable power failure of electrostatic precipitator.

[0004] According to a first aspect of the present disclosure, a dust removal device monitoring system is provided, the system comprising: an ash hopper monitoring module, a rapping monitoring module, a signal processing module, and an analysis and control module;

[0005] The ash hopper monitoring module is arranged at the ash hopper of the electrostatic dust removal device, and is used to monitor and generate an ash hopper monitoring signal of the ash hopper; the ash hopper monitoring module is electrically connected to the signal processing module, and sends the ash hopper monitoring signal to the signal processing module;

[0006] The rapping monitoring module is arranged at the rapping device of the electrostatic precipitator, and is used to monitor the integrity of the rapping bottle in the rapping device and generate a status monitoring signal; the rapping monitoring module is electrically connected to the signal processing module, and sends the status monitoring signal to the signal processing module;

[0007] The signal processing module is used to perform signal integration processing on the ash hopper monitoring signal and the state monitoring signal to generate integrated data; the signal processing module is electrically connected to the analysis and control module, and sends the integrated data to the analysis and control module;

[0008] The analysis and control module is used to analyze and process the integrated data and determine whether there is any abnormality in the electrostatic precipitator.

[0009] In some embodiments, the ash hopper monitoring module includes a delivery pump monitoring submodule; the ash hopper monitoring signal includes: an air pressure peak;

[0010] The delivery pump monitoring submodule is arranged at the delivery pump of the electrostatic precipitator, and is used to monitor the peak value of the air pressure delivered by the delivery pump.

[0011] In some embodiments, the ash hopper monitoring module further includes a discharge port monitoring submodule; the ash hopper monitoring signal further includes: a material drop time signal and an ash blockage frequency signal;

[0012] The discharge port monitoring submodule is arranged on the ash hopper of the electrostatic dust removal device, and is used to monitor the falling time signal and the ash blocking frequency signal of the ash in the ash hopper.

[0013] In some embodiments, the system further comprises: a soft and stable power supply monitoring module;

[0014] The soft and stable power supply monitoring module is arranged in the soft and stable power supply cabinet of the electrostatic precipitator, and is used to monitor the air humidity in the soft and stable power supply cabinet.

[0015] In some embodiments, the system further comprises: an alarm module;

[0016] The alarm module is electrically connected to the analysis and control module, and is used to perform alarm processing according to the alarm information generated by the analysis and control module when it is determined that the electrostatic dust removal device is abnormal.

[0017] According to a second aspect of the present disclosure, a method for monitoring a dust removal device is provided, comprising:

[0018] Monitor and obtain a hopper monitoring signal of an ash hopper in an electrostatic precipitator and a status monitoring signal of a rapping bottle in the electrostatic precipitator;

[0019] Performing signal integration processing on the ash hopper monitoring signal and the status monitoring signal to generate integrated data;

[0020] The integrated data is analyzed to determine whether there is any abnormality in the electrostatic precipitator.

[0021] In some embodiments, the integrated data includes: delivery pump air pressure data, ash blockage frequency data, and vibration bottle status data;

[0022] The analyzing the integrated data to determine whether the electrostatic precipitator has an abnormality includes:

[0023] Based on the air pressure data of the delivery pump, determining whether the peak air pressure generated by the delivery pump in the electrostatic precipitator exceeds a pressure threshold;

[0024] Monitoring the ash blockage frequency data to determine whether the ash hopper exceeds a blockage threshold;

[0025] The integrity of the rapping bottle in the electrostatic precipitator is monitored based on the rapping bottle status data.

[0026] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0027] at least one processor; and

[0028] a memory communicatively connected to the at least one processor; wherein,

[0029] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0030] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0031] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0032] The present disclosure provides a dust removal device monitoring system and method, device, electronic device and storage medium, the system comprising: an ash hopper monitoring module, a rapping monitoring module, a signal processing module and an analysis control module; the ash hopper monitoring module is arranged at the ash hopper of the electrostatic dust removal device, and is used to monitor and generate an ash hopper monitoring signal of the ash hopper; the ash hopper monitoring module is electrically connected to the signal processing module, and sends the ash hopper monitoring signal to the signal processing module; the rapping monitoring module is arranged at the rapping device of the electrostatic dust removal device, and is used to monitor the integrity of the rapping bottle in the rapping device and generate a status monitoring signal; the rapping monitoring module is electrically connected to the signal processing module, and sends the status monitoring signal to the signal processing module; the signal processing module is used to perform signal integration processing on the ash hopper monitoring signal and the status monitoring signal to generate integrated data; the signal processing module is electrically connected to the analysis control module, and sends the integrated data to the analysis control module; the analysis control module is used to analyze and process the integrated data, and determine whether there is an abnormality in the electrostatic dust removal device. Compared with the related art, the embodiment of the present disclosure, through the setting of the ash hopper monitoring module and the vibration monitoring module, the system can monitor the key parts of the electrostatic dust removal device, the status of the ash hopper and the vibration device in real time; the ash hopper monitoring signal and the status monitoring signal of the vibration device can reflect the operation status of the dust removal device in real time, which is helpful to timely discover potential problems; once an abnormal situation is monitored, the system can quickly issue an early warning through the analysis control module, reduce the risk of failure, and improve the reliability and safety of the equipment.

[0033] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0035] Figure 1 A schematic diagram of the structure of a dust removal device monitoring system provided in an embodiment of the present disclosure;

[0036] Figure 2 A schematic diagram of the structure of another dust removal device monitoring system provided in an embodiment of the present disclosure;

[0037] Figure 3 A schematic flow chart of a method for monitoring a dust removal device provided in an embodiment of the present disclosure;

[0038] Figure 4 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0039] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0040] The following describes a dust removal device monitoring system and method, device, electronic device, and storage medium according to embodiments of the present disclosure with reference to the accompanying drawings.

[0041] Figure 1 A schematic diagram of the structure of a dust removal device monitoring system provided in an embodiment of the present disclosure.

[0042] like Figure 1 As shown, the system includes: a hopper monitoring module 11, a vibration monitoring module 12, a signal processing module 13, and an analysis and control module 14;

[0043] The ash hopper monitoring module 11 is arranged at the ash hopper of the electrostatic dust removal device, and is used to monitor and generate an ash hopper monitoring signal of the ash hopper; the ash hopper monitoring module 11 is electrically connected to the signal processing module 13, and sends the ash hopper monitoring signal to the signal processing module 13.

[0044] Specifically, the ash hopper monitoring module 11 is installed in the ash hopper area of ​​the electrostatic dust removal device, and the specific location is usually set above or on the side of the ash hopper, so as to effectively collect relevant data and information inside the ash hopper. The main responsibility of this module is to continuously monitor the accumulation of dust and particulate matter in the ash hopper, thereby generating a corresponding ash hopper monitoring signal. When the dust level in the ash hopper reaches the set threshold, the ash hopper monitoring module 11 will be able to accurately sense this change. Through built-in sensors, such as photoelectric sensors, pressure sensors or ultrasonic sensors, the ash hopper monitoring module 11 can capture the amount of dust in the ash hopper and its changing trend in real time. These sensors convert data into electrical signals by monitoring parameters such as dust concentration, weight or volume to generate ash hopper monitoring signals.

[0045] The generated hopper monitoring signal will be transmitted to the signal processing module 13 in real time. In order to ensure the accuracy and real-time performance of data transmission, a reliable electrical connection is used between the hopper monitoring module 11 and the signal processing module 13, such as industrial-grade connectors and anti-interference technology, to prevent signal loss or interference. At the same time, the module can also provide feedback on the working status to the operator through a fault indicator light or display screen, helping the operator to view the monitoring results in a timely manner.

[0046] The rapping monitoring module 12 is arranged at the rapping device of the electrostatic precipitator, and is used to monitor the integrity of the rapping bottle in the rapping device and generate a status monitoring signal; the rapping monitoring module 12 is electrically connected to the signal processing module 13, and sends the status monitoring signal to the signal processing module 13.

[0047] Specifically, the vibration monitoring module 12 is specially arranged in the vibration device area of ​​the electrostatic precipitator, and is mainly used to monitor the integrity and working state of the vibration bottle in the vibration device. The vibration bottle is a key component in the electrostatic precipitator. It is responsible for removing dust and impurities in the ash hopper through mechanical vibration, thereby maintaining the efficient operation of the system. The vibration monitoring module 12 is equipped with a variety of sensors and monitoring devices, which can sense and capture various physical parameters related to the vibration bottle. For example: the vibration monitoring module 12 can monitor the physical state of the vibration bottle in real time through vibration sensors and pressure sensors to determine whether it is damaged, loose or otherwise damaged. If an abnormality is detected, the module will adjust the vibration frequency in real time to avoid equipment damage; the vibration monitoring module 12 will continuously monitor the vibration mode of the vibration device, including parameters such as vibration amplitude and frequency; in some cases, the vibration monitoring module 12 can also integrate a temperature sensor to detect the temperature of the vibration bottle and the surrounding environment to prevent equipment damage due to overheating.

[0048] Once the vibration monitoring module 12 detects an abnormal situation, such as the integrity of the vibration bottle is affected or the vibration mode changes, it will immediately generate a corresponding status monitoring signal. These status signals are processed internally and sent to the signal processing module 13 in real time through an electrical connection.

[0049] The signal processing module 13 is used to perform signal integration processing on the ash hopper monitoring signal and the state monitoring signal to generate integrated data; the signal processing module 13 is electrically connected to the analysis and control module 14 and sends the integrated data to the analysis and control module 14 .

[0050] Specifically, the signal processing module 13 is a key component in the electrostatic precipitator monitoring system, and is mainly responsible for integrating and processing the signals from the ash hopper monitoring module 11 and the vibration monitoring module 12. Its design aims to improve the monitoring efficiency and data analysis capabilities of the system, and provide accurate information support for subsequent decision-making and control.

[0051] After receiving the ash hopper monitoring signal from the ash hopper monitoring module 11 and the status monitoring signal from the vibration monitoring module 12, the signal processing module 13 first integrates the signals from different sources. The integration process includes the following aspects:

[0052] Signal reception: The signal processing module 13 is provided with multiple channels to receive signals from various monitoring modules. The module ensures the reliability of data transmission through stable electrical connection.

[0053] Signal filtering and denoising In the initial stage of signal integration, the signal processing module 13 applies a filtering algorithm to clean up redundant information and remove noise interference. This step is crucial to ensure data accuracy.

[0054] Data synchronization: Since the signals from different monitoring modules may have some differences in time, the signal processing module 13 applies time synchronization technology to ensure that all signals are analyzed under the same time reference. This helps to grasp the real-time changes in the operating status of the equipment.

[0055] Feature extraction: The signal processing module 13 extracts features from the original signal and analyzes the dust accumulation in the ash hopper and the working state of the vibration bottle. These extracted feature values ​​can provide a more accurate information basis for subsequent data analysis.

[0056] After the above processing, the integrated data generated by the signal processing module 13 includes multi-dimensional information. These integrated data exist in a structured form, such as JSON or XML format, which is convenient for subsequent data transmission and processing.

[0057] The signal processing module 13 sends the generated integrated data to the analysis and control module 14 in real time through an electrical connection. In order to ensure the efficiency and safety of data transmission, the signal processing module 13 uses a high-speed data interface, such as RS-485 or Ethernet interface. The use of these interfaces can expand the compatibility and flexibility of the system.

[0058] The analysis and control module is used to analyze and process the integrated data and determine whether there is any abnormality in the electrostatic precipitator.

[0059] Specifically, the analysis and control module 14 plays a core role in the electrostatic precipitator monitoring system, and its main task is to conduct in-depth analysis and processing of the integrated data from the signal processing module 13. Through real-time monitoring and intelligent analysis, the module can timely determine the operating status of the electrostatic precipitator to ensure the stability and safety of the equipment.

[0060] After receiving the integrated data, the analysis control module 14 first performs data analysis and processing, which can be divided into the following steps:

[0061] Data decoding and format conversion: The integrated data is transmitted to the analysis control module in a certain format (such as JSON, XML, etc.), where the module will parse the data and convert it into a usable format for subsequent analysis and judgment.

[0062] Index calculation: Based on the preset algorithms and models, the analysis and control module 14 will calculate various indicators in the integrated data, for example: accurately assess the dust load in the hopper and compare its value with the rated load of the equipment. Monitor the vibration frequency and amplitude of the vibration bottle and compare them with the normal working range. Trend analysis: The analysis and control module will compare historical data with current data and identify the changing trend of the equipment status through time series analysis methods. This trend analysis can detect potential problems in advance, such as excessive dust accumulation or reduced performance of the vibration device.

[0063] After data analysis, the analysis control module 14 will focus on determining whether there is an abnormality in the electrostatic precipitator. To achieve this goal, the module uses a variety of technical means, including:

[0064] Set thresholds: Based on the normal operating parameters of the equipment, the analysis and control module will set a series of thresholds. Once the key indicators in the integrated data exceed (or fall below) these thresholds, the system will be judged as abnormal. For example, if the dust accumulation in the ash hopper exceeds the specified upper limit, an alarm will be triggered.

[0065] Event detection: The analysis and control module 14 can monitor the status data transmitted by the signal processing module in real time, and automatically identify abnormal events using pattern recognition and machine learning techniques. For example, by comparing the normal vibration pattern in the past with the current pattern, a significant change in the vibration characteristics is detected.

[0066] Multi-dimensional detection: The analysis and control module 14 does not rely solely on a single data link, but rather comprehensively evaluates information from multiple monitoring indicators. For example, by simultaneously monitoring the dust accumulation level, the vibration characteristics of the rapping bottle, and the temperature of the equipment, the system can more comprehensively determine the health status of the equipment.

[0067] The present disclosure provides a dust removal device monitoring system, the system comprising: an ash hopper monitoring module, a rapping monitoring module, a signal processing module, and an analysis and control module; the ash hopper monitoring module is arranged at the ash hopper of the electrostatic dust removal device, and is used to monitor and generate an ash hopper monitoring signal of the ash hopper; the ash hopper monitoring module is electrically connected to the signal processing module, and sends the ash hopper monitoring signal to the signal processing module; the rapping monitoring module is arranged at the rapping device of the electrostatic dust removal device, and is used to monitor the integrity of the rapping bottle in the rapping device and generate a status monitoring signal; the rapping monitoring module is electrically connected to the signal processing module, and sends the status monitoring signal to the signal processing module; the signal processing module is used to perform signal integration processing on the ash hopper monitoring signal and the status monitoring signal to generate integrated data; the signal processing module is electrically connected to the analysis and control module, and sends the integrated data to the analysis and control module; the analysis and control module is used to analyze and process the integrated data, and determine whether there is an abnormality in the electrostatic dust removal device. Compared with the related art, the embodiment of the present disclosure, through the setting of the ash hopper monitoring module and the vibration monitoring module, the system can monitor the key parts of the electrostatic dust removal device, the status of the ash hopper and the vibration device in real time; the ash hopper monitoring signal and the status monitoring signal of the vibration device can reflect the operation status of the dust removal device in real time, which is helpful to timely discover potential problems; once an abnormal situation is monitored, the system can quickly issue an early warning through the analysis control module, reduce the risk of failure, and improve the reliability and safety of the equipment.

[0068] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the ash hopper monitoring module 11 includes a delivery pump monitoring submodule 111; the ash hopper monitoring signal includes: air pressure peak value;

[0069] The delivery pump monitoring submodule 111 is disposed at the delivery pump of the electrostatic precipitator and is used to monitor the peak pressure of the air delivered by the delivery pump.

[0070] Specifically, in the monitoring system of the electrostatic dust removal device, the ash hopper monitoring module 11 is responsible for real-time monitoring of the working conditions in the ash hopper to ensure the efficiency and safety of the dust treatment process. Among them, a key component of the ash hopper monitoring module is the delivery pump monitoring submodule 111.

[0071] The delivery pump monitoring submodule 111 is specially arranged at the delivery pump position of the electrostatic precipitator, and is mainly used to monitor and evaluate the peak air pressure generated by the delivery pump during operation. Its specific functions include:

[0072] Real-time air pressure monitoring: The delivery pump monitoring submodule 111 is equipped with a high-precision pressure sensor that can measure the air pressure generated by the delivery pump in real time. The sensitivity of the pressure sensor ensures that the changes in air pressure can be effectively captured under high and low flow working conditions.

[0073] Peak data recording: This submodule can record the pressure peak value in each working cycle and store the data. By analyzing these peak data, engineers can evaluate whether the working status of the delivery pump is normal and find potential problems in time.

[0074] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the ash hopper monitoring module 11 also includes a discharge port monitoring submodule 112; the ash hopper monitoring signal also includes: a material drop time signal and an ash blockage frequency signal;

[0075] The discharge port monitoring submodule 112 is disposed on the ash hopper of the electrostatic precipitator, and is used to monitor the falling time signal and the ash blocking frequency signal of the ash in the ash hopper.

[0076] Specifically, in the electrostatic dust removal device, the ash hopper monitoring module 11 is not only responsible for monitoring the operating status of the conveying pump, but also includes a discharge port monitoring submodule 112 to ensure effective management and timely discharge of ash in the ash hopper.

[0077] The discharge port monitoring submodule 112 is specially arranged on the ash hopper of the electrostatic dust removal device, and is mainly used to monitor the falling time signal and the ash blocking frequency signal of the ash in the ash hopper. These signals are of great significance for optimizing the working efficiency of the ash hopper and preventing equipment failure.

[0078] Dropping time signal monitoring: This submodule is equipped with a high-precision sensor that can monitor the time when each ash falls from the ash hopper in real time. By recording the drop time, the system can analyze the frequency and duration of ash discharge to ensure that the ash hopper discharges ash unimpeded during operation.

[0079] Dust blocking frequency signal monitoring: The discharge port monitoring submodule 112 can also monitor the frequency of dust blocking. When the dust in the ash hopper is blocked due to humidity, viscosity or other factors, the system will record the number of occurrences and duration of dust blocking. This information is essential for formulating effective maintenance strategies and optimizing operating procedures.

[0080] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the system further includes: a soft and stable power supply monitoring module 15;

[0081] The soft and stable power supply monitoring module 15 is arranged in the soft and stable power supply cabinet of the electrostatic precipitator, and is used to monitor the air humidity in the soft and stable power supply cabinet.

[0082] Specifically, in an electrostatic precipitator, a soft and stable power supply is a key component to ensure stable operation of the device. Therefore, monitoring of the soft and stable power supply is particularly important. The soft and stable power supply monitoring module 15 is arranged in the soft and stable power supply cabinet of the electrostatic precipitator, and is intended to monitor and manage air humidity in real time to ensure the normal operation of the device and extend its service life.

[0083] The soft and stable power supply monitoring module 15 is mainly used to monitor the air humidity in the soft and stable power supply cabinet. The specific functions include:

[0084] Humidity monitoring: The soft and stable power supply monitoring module 15 has built-in high-precision humidity sensors that can detect the relative humidity inside the soft and stable power supply cabinet in real time. These sensors can ensure accurate measurements in different working environments and help operators understand the operating environment of the equipment in a timely manner.

[0085] Data recording and processing: The collected humidity data will be recorded and used for subsequent analysis. By regularly recording and analyzing humidity changes, the system can provide operators with trends in environmental changes and help them formulate more reasonable operation and maintenance strategies.

[0086] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the system further includes: an alarm module 16;

[0087] The alarm module 16 is electrically connected to the analysis and control module 14 and is used to perform alarm processing according to the alarm information generated by the analysis and control module 14 when it is determined that the electrostatic precipitator has an abnormality.

[0088] Specifically, the alarm module 16 can issue an alarm in time when an abnormality occurs in the equipment through the electrical connection with the analysis and control module 14, thereby ensuring the safety and stability of the equipment.

[0089] The alarm module 16 is usually composed of the following parts:

[0090] Signal receiver: capable of receiving alarm information from the analysis and control module 14. Such information is data processed by the analysis and control module and reflects the operating status of the electrostatic precipitator.

[0091] Alarm processing unit: responsible for generating specific response measures based on the received alarm information. This unit can set different types of alarm levels and take corresponding processing methods according to the severity.

[0092] Output interface: used to present alarm information to operators in different forms, such as sound and light alarms, display prompts, mobile notifications, etc.

[0093] Figure 3 A schematic flow chart of a method for monitoring a dust removal device provided in an embodiment of the present disclosure.

[0094] like Figure 3 As shown, the method comprises the following steps:

[0095] Step 201, monitor and obtain a ash hopper monitoring signal of an ash hopper in an electrostatic precipitator and a status monitoring signal of a rapping bottle in the electrostatic precipitator.

[0096] Specifically, in step 201, during the operation of the electrostatic precipitator, the status of the ash hopper and the vibrating bottle is crucial to the overall efficiency and maintenance of the system. Therefore, it is particularly important to establish an effective monitoring mechanism to obtain the ash hopper monitoring signal of the ash hopper and the status monitoring signal of the vibrating bottle in real time. Specifically, the following aspects are important components of this monitoring system:

[0097] Acquisition of ash hopper monitoring signal

[0098] Function and importance of ash hopper: Ash hopper is a key part of electrostatic precipitator for collecting dust and impurities generated during dust removal. Effective ash hopper monitoring can ensure that the accumulation of ash does not exceed a certain limit, thus avoiding performance degradation and failure of equipment.

[0099] Monitoring parameters: In ash hopper monitoring, the main parameters of concern include the filling height of the ash hopper, dust concentration, and possible blockage. By installing sensors (such as ultrasonic sensors, pressure sensors, etc.), the system can detect the dust accumulation of the ash hopper in real time and obtain corresponding monitoring signals.

[0100] Data processing and analysis: The collected hopper monitoring signals will be transmitted to the central control system and processed by the analysis module. These signals will be used to evaluate the working status and efficiency of the hopper, and determine when cleaning and maintenance are required based on the actual filling level of the hopper to ensure efficient operation of the equipment.

[0101] Acquisition of vibration bottle status monitoring signal

[0102] Function and importance of vibrating bottle: Vibrating bottle is used in electrostatic precipitator to regularly vibrate and remove dust deposited on the electrode surface to ensure the cleanliness and energy efficiency of the electrode.

[0103] Monitoring parameters: For the vibrating bottle, important monitoring signals include vibration frequency, vibration amplitude and vibration time, etc. In addition, the working status of the vibrating bottle needs to be monitored to ensure that it can start and stop normally and avoid poor cleaning effect due to malfunction.

[0104] Real-time monitoring: By installing appropriate sensors (such as acceleration sensors and angular velocity sensors), real-time status monitoring signals of the vibrating bottle can be obtained. These signals will be used to determine whether the vibrating bottle is working normally according to the set cycle and parameters to ensure effective removal of dust on the electrode.

[0105] Step 202: Perform signal integration processing on the ash hopper monitoring signal and the status monitoring signal to generate integrated data.

[0106] Specifically, in step 202, during the operation of the electrostatic precipitator, the integration and processing of the hopper monitoring signal and the status monitoring signal is a key step in improving the performance and efficiency of the equipment. By integrating these signals, a comprehensive data set can be created, which provides important support for subsequent analysis, decision-making and automated control. Specifically, the integration process includes the following steps:

[0107] 1. Signal acquisition

[0108] Signal sources: First, the system collects real-time monitoring signals from the hopper and the vibrating bottle. The hopper monitoring signals include filling height, dust concentration, and any possible blockages; while the status monitoring signals cover the operating frequency, amplitude, and start / stop status of the vibrating bottle.

[0109] Multiple sensors: To ensure the accuracy and comprehensiveness of the data, the system will deploy a variety of sensors, which can be ultrasonic sensors, pressure sensors, acceleration sensors, angular velocity sensors, etc., to obtain different types of monitoring signals.

[0110] 2. Signal processing

[0111] Data preprocessing: After acquiring the monitoring signal, the system will preprocess the data. This includes signal denoising, filtering and standardization to ensure data quality and reliability in subsequent analysis.

[0112] Time synchronization: Since the hopper monitoring signal and the status monitoring signal may come from different sensors and modules, the system needs to ensure that the data from the two signal sources are synchronized in time so that the actual operating status of the equipment can be accurately reflected during subsequent integration.

[0113] 3. Data Integration

[0114] Data fusion: The processed hopper monitoring signals and condition monitoring signals will be integrated into a unified data set. This process involves not only merging the signals, but also evaluating and adjusting the weights of different signals to reflect the importance of each signal in the overall operating status.

[0115] Comprehensive index generation: In the process of integrating data, the system can generate multiple comprehensive indicators. For example, a comprehensive operating efficiency index can be generated by calculating the dust accumulation rate of the hopper and the operating frequency of the vibration bottle. These indicators provide operators with a specific performance overview to help them judge the operating status of the equipment.

[0116] Step 203, analyzing the integrated data to determine whether there is any abnormality in the electrostatic precipitator.

[0117] Step 2031: Based on the air pressure data of the delivery pump, determine whether the air pressure peak generated by the delivery pump in the electrostatic precipitator exceeds a pressure threshold.

[0118] Step 2032: monitor the ash blockage frequency data to determine whether the ash hopper exceeds a blockage threshold.

[0119] Step 2033, monitoring the integrity of the rapping bottle in the electrostatic precipitator according to the rapping bottle status data.

[0120] Specifically in step 203, the air pressure data generated by the delivery pump during operation is an important parameter for evaluating the performance of the equipment. The monitoring system collects air pressure signals in real time through a pressure sensor installed near the delivery pump. These signals will reflect the working status and air supply capacity of the delivery pump. The system will set a pressure threshold to clarify the maximum working pressure that the delivery pump can withstand. When the air pressure data obtained in real time exceeds this set pressure threshold, it means that the working state of the delivery pump is abnormal, which may cause equipment damage or safety hazards. If the air pressure peak is monitored to exceed the pressure threshold, the system will immediately trigger the alarm mechanism and send an alarm message to the operator. In this case, the operator should quickly check the operating status of the delivery pump, seek possible causes of the failure and take measures, such as adjusting the pump speed, checking whether the pump body is blocked or leaking, etc.

[0121] The frequency of ash blockage refers to the frequency of cleaning caused by dust accumulation in the ash hopper. By monitoring this parameter, it is possible to determine whether the ash hopper is blocked, affecting the effect of electrostatic dust removal. The system needs to set a blockage threshold to determine the working status of the ash hopper based on the equipment design parameters and historical operating data. When the monitored ash blockage frequency exceeds this threshold, it means that there is too much dust deposited in the ash hopper, which may hinder the normal airflow and reduce the cleaning efficiency of the equipment. Once the ash blockage frequency is detected to exceed the threshold, the system will automatically issue an alarm to prompt the operator. The operator should promptly inspect and clean the ash hopper to ensure that the ash hopper can operate normally and restore the optimal performance of the equipment.

[0122] The vibrating bottle is responsible for regularly removing dust deposited on the surface of the electrode to ensure the conductivity and cleanliness of the electrode. Therefore, the integrity of the vibrating bottle and its working condition directly affect the overall efficiency of the electrostatic precipitator. By installing a variety of sensors (such as accelerometers and position sensors), the system will monitor the working status of the vibrating bottle in real time, such as vibration frequency, vibration amplitude, and the start and stop of vibration. These data will be used to analyze the working integrity and performance of the vibrating bottle. During the monitoring process, if the status data of the vibrating bottle is found to be abnormal (such as the vibration amplitude is too small or the frequency is unstable), the system will issue a warning and require the operator to conduct a detailed inspection. Next, the operator needs to evaluate the mechanical structure of the vibrating bottle to ensure that there is no damage or failure, and adjust or replace it as needed to ensure the cleaning effect.

[0123] It should be noted that the embodiments of the present disclosure may include multiple steps. For the convenience of description, these steps are numbered, but these numbers do not limit the execution time slots or execution order between the steps; these steps can be implemented in any order, and the embodiments of the present disclosure do not limit this.

[0124] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0125] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0126] like Figure 4 As shown, the device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 to a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0127] A number of components in the device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0128] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as a method for monitoring a dust removal device. For example, in some embodiments, the method for monitoring a dust removal device may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the aforementioned dust removal device monitoring method in any other appropriate manner (for example, by means of firmware).

[0129] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0130] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0131] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0132] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0133] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0134] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0135] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0136] The various numerical numbers such as first and second involved in the present disclosure are only for the convenience of description and are not used to limit the scope of the embodiments of the present disclosure, but also indicate the order of precedence.

[0137] At least one in the present disclosure may also be described as one or more, and a plurality may be two, three, four or more, which is not limited in the present disclosure. In the embodiments of the present disclosure, for a technical feature, the technical features in the technical feature are distinguished by "first", "second", "third", "A", "B", "C" and "D", etc., and there is no order of precedence or size between the technical features described by the "first", "second", "third", "A", "B", "C" and "D".

[0138] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0139] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A dust removal device monitoring system, characterized in that: The system includes: a hopper monitoring module, a vibration monitoring module, a signal processing module, and an analysis and control module; The ash hopper monitoring module is arranged at the ash hopper of the electrostatic dust removal device, and is used to monitor and generate an ash hopper monitoring signal of the ash hopper; the ash hopper monitoring module is electrically connected to the signal processing module, and sends the ash hopper monitoring signal to the signal processing module; The rapping monitoring module is arranged at the rapping device of the electrostatic precipitator, and is used to monitor the integrity of the rapping bottle in the rapping device and generate a status monitoring signal; the rapping monitoring module is electrically connected to the signal processing module, and sends the status monitoring signal to the signal processing module; The signal processing module is used to perform signal integration processing on the ash hopper monitoring signal and the state monitoring signal to generate integrated data; the signal processing module is electrically connected to the analysis and control module, and sends the integrated data to the analysis and control module; The analysis and control module is used to analyze and process the integrated data and determine whether there is any abnormality in the electrostatic precipitator.

2. The dust removal device monitoring system according to claim 1, characterized in that: The ash hopper monitoring module includes a delivery pump monitoring submodule; the ash hopper monitoring signal includes: air pressure peak value; The delivery pump monitoring submodule is arranged at the delivery pump of the electrostatic precipitator, and is used to monitor the peak value of the air pressure delivered by the delivery pump.

3. The dust removal device monitoring system according to claim 1, characterized in that: The ash hopper monitoring module also includes a discharge port monitoring submodule; the ash hopper monitoring signal also includes: a material drop time signal and an ash blockage frequency signal; The discharge port monitoring submodule is arranged on the ash hopper of the electrostatic dust removal device, and is used to monitor the falling time signal and the ash blocking frequency signal of the ash in the ash hopper.

4. The dust removal device monitoring system according to claim 1, characterized in that: The system also includes: a soft and stable power supply monitoring module; The soft and stable power supply monitoring module is arranged in the soft and stable power supply cabinet of the electrostatic precipitator, and is used to monitor the air humidity in the soft and stable power supply cabinet.

5. The dust removal device monitoring system according to claim 1, characterized in that: The system further comprises: an alarm module; The alarm module is electrically connected to the analysis and control module, and is used to perform alarm processing according to the alarm information generated by the analysis and control module when it is determined that the electrostatic dust removal device is abnormal.

6. A method for monitoring a dust removal device, characterized in that: The method is applied to the dust removal device monitoring system according to any one of claims 1 to 5, and the method comprises: Monitor and obtain a hopper monitoring signal of an ash hopper in an electrostatic precipitator and a status monitoring signal of a rapping bottle in the electrostatic precipitator; Performing signal integration processing on the ash hopper monitoring signal and the status monitoring signal to generate integrated data; The integrated data is analyzed to determine whether there is any abnormality in the electrostatic precipitator.

7. The method according to claim 1, characterized in that The integrated data includes: air pressure data of the delivery pump, ash blockage frequency data, and vibration bottle status data; The analyzing the integrated data to determine whether the electrostatic precipitator has an abnormality includes: Based on the air pressure data of the delivery pump, determining whether the peak air pressure generated by the delivery pump in the electrostatic precipitator exceeds a pressure threshold; Monitoring the ash blockage frequency data to determine whether the ash hopper exceeds a blockage threshold; The integrity of the rapping bottle in the electrostatic precipitator is monitored based on the rapping bottle status data.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 6 to 7.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 6-7.

10. A computer program product, characterized in that A computer program is included which, when executed by a processor, implements the method according to any one of claims 6-7.

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