A boiler operation monitoring method, device, electronic device and storage medium

Abstract

The present invention proposes a boiler operation monitoring method, device, electronic equipment and storage medium. The boiler operation monitoring method and system realize efficient monitoring and precise control of the boiler operation process by comprehensively applying automation and intelligent technologies, and solve the technical problems that the traditional boiler operation monitoring method in the prior art relies on manual judgment and cannot handle abnormal situations in boiler operation in real time and accurately, which ultimately leads to misjudgment and untimely response.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a boiler operation monitoring method, device, electronic equipment and storage medium. Background Art

[0002] In traditional boiler operation monitoring methods, water quality monitoring and reagent adjustment are usually performed manually, resulting in a long response time and difficulty in responding to water quality fluctuations in a timely manner. Secondly, the control of the boiler heating process is relatively extensive, and there is a lack of real-time monitoring of the flame state, which can easily cause combustion anomalies, resulting in reduced boiler efficiency or increased risk of damage. In addition, data collection and anomaly detection often rely on manual judgment, and cannot handle abnormal situations in boiler operation in real time and accurately, ultimately leading to misjudgment and untimely response. Summary of the invention

[0003] In view of the technical problems existing in the above background technology, the present invention proposes a boiler operation monitoring method, device, electronic device and storage medium, and the technical solutions adopted are as follows:

[0004] 1. A boiler operation monitoring method, the method comprising:

[0005] S1: Before the boiler is put into operation, the boiler feed water is sampled and analyzed for water quality. A dosing plan is formulated based on the analysis results, and the dosing plan is transmitted to the dosing system. After the dosing system is started, the use of the reagents and the changes in water quality are detected in real time. When the water quality fluctuates, the dosing system dynamically adjusts the amount of reagents added;

[0006] S2: Formulate a heating plan for the boiler according to the capacity, material and type of fuel of the boiler, and transmit the heating plan to the fuel supply system. After the fuel supply system obtains the heating plan, it ignites and supplies fuel to the boiler according to the heating plan, and implements countermeasures according to the external boiler flame state and the changes in internal temperature and pressure;

[0007] S3: During the operation of the boiler, a data collection cycle is set. The sensor collects the operating parameters of the boiler in real time according to the data collection cycle and transmits the operating parameters to the central management system. The central management system determines whether the boiler is abnormal based on the operating parameters. If there is an abnormality, the boiler is adjusted in an emergency;

[0008] S4: When the boiler operation is nearing the end, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the water level, air pressure and temperature data to the central management system. When the water level, air pressure and temperature data are not within the safety threshold range, the central management system takes corresponding measures until the fuel supply system stops the fuel supply.

[0009] Preferably, the S1 includes:

[0010] S11: Sampling boiler feed water for water quality analysis, the analysis contents including hardness, pH value, dissolved oxygen, and salt content, integrating the analysis contents to obtain analysis results, and formulating a dosing plan based on the analysis results;

[0011] S12: transmitting the dosing plan to the dosing system by wireless, and after receiving the dosing plan, the dosing system starts the dosing device and starts to add the reagents according to the dosing plan, wherein the reagents include a water softener, a scale inhibitor, an acid-base regulator, a deoxidizer, and a reverse osmosis reagent;

[0012] S13: During the process of adding the reagent, the water quality changes are monitored in real time. When the water quality monitoring results show that the water quality fluctuates, the dosing system dynamically adjusts the amount of reagent added.

[0013] Preferably, S2 includes:

[0014] S21: Determine the characteristics of the boiler according to the capacity, material and fuel type of the boiler, the characteristics including thermal efficiency, thermal inertia and response speed to fuel changes, formulate a heating plan according to the characteristics of the boiler, the heating plan including heating rate and fuel supply strategy, and transmit the heating plan to the fuel supply system;

[0015] S22: After receiving the heating plan, the fuel supply system controls the ignition device to ignite, and gradually increases the fuel supply according to the preset fuel supply strategy;

[0016] S23: Acquire an image of the flame when the fuel is burning, and extract features from the flame image, wherein the features include flame color, flame brightness, flame shape, and flickering frequency, and fuse the features to form a comprehensive feature vector. The comprehensive feature vector is identified by the abnormality monitoring system, and based on the identification result and the changes in the temperature and pressure inside the boiler, it is determined whether there is an abnormality in the flame, and further whether there is an abnormality in the fuel combustion. When there is an abnormality in the fuel combustion, the fuel supply, fuel pressure, and ventilation volume are adjusted to ensure normal combustion of the fuel.

[0017] Preferably, the abnormality of S3 includes: water level abnormality and combustion abnormality. When the central management system determines that there is a water level abnormality in the boiler, it controls the water supply and opens the water valve; when the central management system determines that there is a combustion abnormality in the boiler, it performs step S23.

[0018] Preferably, the S4 includes:

[0019] S41: When the boiler operation approaches the preset end time, the central management system sends an end signal to the fuel supply system. After receiving the end signal, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the data of water level, air pressure and temperature in the boiler in real time, and transmits the data to the central management system in real time;

[0020] S42: The water level, air pressure and temperature all correspond to a preset safety threshold range. When the central management system determines that the data is not within the safety range, the central management system starts the emergency response system, and the emergency response system takes emergency response measures, including increasing and decreasing the water supply flow, adjusting the fuel supply, and opening and closing the safety valve;

[0021] S43: When the water level, air pressure and temperature parameters inside the boiler are all stable within a safe range, the fuel supply system continues to implement the steps of S41 until the boiler completely stops working.

[0022] A boiler operation monitoring system, characterized in that the system comprises:

[0023] Dosing system: Before the boiler is put into operation, the boiler feed water is sampled and analyzed for water quality. A dosing plan is formulated based on the analysis results, and the dosing plan is transmitted to the dosing system. After the dosing system is started, the use of the reagents and the changes in water quality are detected in real time. When the water quality fluctuates, the dosing system dynamically adjusts the amount of reagents added;

[0024] Fuel supply system: formulate a heating plan for the boiler according to the capacity, material and type of fuel of the boiler, and transmit the heating plan to the fuel supply system. After the fuel supply system obtains the heating plan, it ignites and supplies fuel to the boiler according to the heating plan, and implements countermeasures according to the external boiler flame state and the changes in internal temperature and pressure;

[0025] Data collection system: During the operation of the boiler, a data collection cycle is set. The sensor collects the operating parameters of the boiler in real time according to the data collection cycle and transmits the operating parameters to the central management system. The central management system determines whether the boiler is abnormal based on the operating parameters. If there is an abnormality, the boiler is adjusted in an emergency;

[0026] Central management system: When the boiler operation is nearing the end, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the water level, air pressure and temperature data to the central management system. When the water level, air pressure and temperature data are not within the safety threshold range, the central management system takes corresponding measures until the fuel supply system stops the fuel supply.

[0027] Preferably, the fuel supply system comprises:

[0028] Heating plan formulation system: Determine the characteristics of the boiler according to the capacity, material and fuel type of the boiler, including thermal efficiency, thermal inertia and response speed to fuel changes, formulate a heating plan according to the characteristics of the boiler, including heating rate and fuel supply strategy, and transmit the heating plan to the fuel supply system;

[0029] Ignition device: After receiving the heating plan, the fuel supply system controls the ignition device to ignite and gradually increase the fuel supply according to the preset fuel supply strategy;

[0030] Flame monitoring system: obtains the image of the flame when the fuel is burning, and extracts features from the flame image. The features include flame color, flame brightness, flame shape and flickering frequency. The features are integrated to form a comprehensive feature vector. The comprehensive feature vector is identified by the abnormality monitoring system, and based on the identification results and the changes in the temperature and pressure inside the boiler, it is determined whether there is an abnormality in the flame, and further whether there is an abnormality in the fuel combustion. When there is an abnormality in the fuel combustion, the fuel supply, fuel pressure and ventilation volume are adjusted to ensure normal combustion of the fuel.

[0031] Preferably, the central management system comprises:

[0032] End signal sending system: When the boiler operation approaches the preset end time, the central management system sends an end signal to the fuel supply system. After receiving the end signal, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the data to the central management system in real time;

[0033] Emergency response system: Water level, air pressure and temperature all correspond to a preset safety threshold range. When the central management system determines that the data is not within the safety range, the central management system activates the emergency response system, and the emergency response system takes emergency response measures, including increasing and decreasing water flow, adjusting fuel supply, and opening and closing safety valves;

[0034] Recovery system: When the water level, air pressure and temperature parameters inside the boiler are stabilized within the safe range, the fuel supply system continues to implement the steps of the end signal sending system until the boiler stops working completely.

[0035] Beneficial effects of the present invention: The boiler operation monitoring method and system realizes efficient monitoring and precise control of the boiler operation process by comprehensively applying automation and intelligent technologies, thereby significantly improving the operating efficiency and safety of the boiler. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a boiler operation monitoring method described in the present invention. DETAILED DESCRIPTION

[0037] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0038] One embodiment of the present invention provides a boiler operation monitoring method, the method comprising:

[0039] S1: Before the boiler is put into operation, the boiler feed water is sampled and analyzed for water quality. A dosing plan is formulated based on the analysis results, and the dosing plan is transmitted to the dosing system. After the dosing system is started, the use of the reagents and the changes in water quality are detected in real time. When the water quality fluctuates, the dosing system dynamically adjusts the amount of reagents added;

[0040] S2: Formulate a heating plan for the boiler according to the capacity, material and type of fuel of the boiler, and transmit the heating plan to the fuel supply system. After the fuel supply system obtains the heating plan, it ignites and supplies fuel to the boiler according to the heating plan, and implements countermeasures according to the external boiler flame state and the changes in internal temperature and pressure;

[0041] S3: During the operation of the boiler, a data collection cycle is set. The sensor collects the operating parameters of the boiler in real time according to the data collection cycle and transmits the operating parameters to the central management system. The central management system determines whether the boiler is abnormal based on the operating parameters. If there is an abnormality, the boiler is adjusted in an emergency;

[0042] S4: When the boiler operation is nearing the end, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the water level, air pressure and temperature data to the central management system. When the water level, air pressure and temperature data are not within the safety threshold range, the central management system takes corresponding measures until the fuel supply system stops the fuel supply.

[0043] The working principle and effect of the above technical solution are as follows: before the boiler is operated, the system first collects boiler feed water samples for detailed water quality analysis. The analysis includes measuring the hardness, pH value, dissolved oxygen content, etc. of the water to comprehensively evaluate the water quality. According to the results of the water quality analysis, a specific dosing plan is formulated to ensure that the water quality can meet the boiler operation requirements and prevent scaling or corrosion. The dosing plan is transmitted to the dosing system, and the system will monitor and adjust the dosage of the agent in real time to cope with the dynamic changes in water quality and ensure that the water treatment process is always effective. According to the specific characteristics of the boiler (such as capacity, material, fuel type, etc.), a suitable heating plan is formulated. The plan includes heating rate and fuel supply strategy. After receiving the heating plan, the fuel supply system starts ignition and supplies fuel according to the plan. The system monitors, controls and adjusts in real time according to the external flame state and the internal temperature and pressure changes to ensure that the boiler reaches the specified temperature safely and efficiently. During the operation of the boiler, a fixed data collection cycle is set, and sensors are used to collect the operating parameters of the boiler (such as temperature, pressure, water level, etc.) in real time. All collected data is transmitted to the central management system, which is responsible for analyzing the data and determining the operating status of the boiler. If an abnormal situation is detected, the central management system will immediately take emergency adjustment measures to ensure the continuous and safe operation of the boiler. When the boiler operation is about to end, the fuel supply system will gradually reduce the fuel supply. At the same time, the sensor continues to collect key parameters such as water level, air pressure and temperature in the boiler in real time. These data will be transmitted to the central management system for safety monitoring. If the parameters exceed the safety threshold range, the central management system will implement corresponding adjustment measures to ensure the safe cooling and shutdown of the boiler until the fuel supply is completely stopped. The operation efficiency and safety of the boiler are improved through automated and intelligent monitoring and adjustment. Real-time water quality analysis and dosing control ensure the stability of the quality of boiler water, and respond quickly to water quality fluctuations to prevent scaling and corrosion. Through precise heating plan and fuel control, the boiler temperature is steadily and efficiently increased. Real-time data collection and abnormal monitoring mechanism enable potential problems in boiler operation to be quickly discovered and handled, reducing the risk of unexpected shutdown and damage. In addition, continuous monitoring and gradual reduction of fuel supply during the shutdown process ensures a safe shutdown process for the boiler, reduces the possibility of accidents, and overall improves the reliability and longevity of the system.

[0044] In one embodiment of the present invention, the S1 includes:

[0045] S11: Sampling boiler feed water for water quality analysis, the analysis contents including hardness, pH value, dissolved oxygen, and salt content, integrating the analysis contents to obtain analysis results, and formulating a dosing plan based on the analysis results;

[0046] S12: transmitting the dosing plan to the dosing system by wireless, and after receiving the dosing plan, the dosing system starts the dosing device and starts to add the reagents according to the dosing plan, wherein the reagents include a water softener, a scale inhibitor, an acid-base regulator, a deoxidizer, and a reverse osmosis reagent;

[0047] S13: During the process of adding the reagent, the water quality changes are monitored in real time. When the water quality monitoring results show that the water quality fluctuates, the dosing system dynamically adjusts the amount of reagent added.

[0048] The working principle and effect of the above technical solution are as follows: before the boiler is started, the system samples the feed water and performs a series of detailed water quality index analyses, including the determination of water hardness, pH value, dissolved oxygen content and salt content. The analysis results of the indicators are integrated to form basic data for a comprehensive assessment of the boiler water quality. Based on the data, an accurate dosing plan is formulated to ensure that the feed water meets the chemical balance required for boiler operation and prevent potential scaling and corrosion. Once the dosing plan is formulated, the plan is sent to the boiler's dosing system through wireless transmission technology. After receiving the plan, the dosing system will start the corresponding dosing device and automatically add specific types and quantities of agents according to the instructions, including softeners, scale inhibitors, acid-base regulators, deoxidizers and reverse osmosis agents. During the process of agent delivery, the system continuously monitors the changes in water quality in the feed water in real time. If any fluctuations or deviations in the water quality indicators are detected, the dosing system responds immediately and dynamically adjusts the amount of agent input. First of all, the system conducts a detailed water quality analysis to ensure that the formulated dosing plan is accurate and correct, thereby effectively preventing potential problems such as scaling and corrosion. Secondly, through the cooperation of wireless transmission and automatic dosing device, manual intervention is reduced, and the efficiency and reliability of operation are improved. Finally, real-time water quality monitoring and dynamic reagent adjustment mechanism enable the system to respond to water quality changes in a timely manner, ensuring that the water quality always meets the boiler operation requirements and improving the overall safety and stability of operation.

[0049] In one embodiment of the present invention, S2 includes:

[0050] S21: Determine the characteristics of the boiler according to the capacity, material and fuel type of the boiler, the characteristics including thermal efficiency, thermal inertia and response speed to fuel changes, formulate a heating plan according to the characteristics of the boiler, the heating plan including heating rate and fuel supply strategy, and transmit the heating plan to the fuel supply system;

[0051] S22: After receiving the heating plan, the fuel supply system controls the ignition device to ignite, and gradually increases the fuel supply according to the preset fuel supply strategy;

[0052] S23: Acquire an image of the flame when the fuel is burning, and extract features from the flame image, wherein the features include flame color, flame brightness, flame shape, and flickering frequency, and fuse the features to form a comprehensive feature vector. The comprehensive feature vector is identified by the abnormality monitoring system, and based on the identification result and the changes in the temperature and pressure inside the boiler, it is determined whether there is an abnormality in the flame, and further whether there is an abnormality in the fuel combustion. When there is an abnormality in the fuel combustion, the fuel supply, fuel pressure, and ventilation volume are adjusted to ensure normal combustion of the fuel.

[0053] Furthermore, the comprehensive feature vector is obtained by the following formula:

[0054] ;

[0055] Wherein, P represents the comprehensive feature vector, C represents the flame color diversity coefficient, L represents the flame brightness, F represents the flame flickering frequency, S represents the flame shape complexity coefficient, and the C, L, F, and S are normalized, and the flame color diversity coefficient C is obtained by the following formula:

[0056] ;

[0057] Where N represents the total number of pixels in the acquired flame image, Respectively represent the values ​​of the red, green, and blue channels of the i-th pixel in the flame image, This represents the average value of the red, green, and blue channels of all pixels;

[0058] In addition, the flame shape complexity coefficient is obtained by the following formula:

[0059] ;

[0060] Among them, Q represents the circumference of the flame in the flame image, A represents the area of ​​the flame, W represents the edge fluctuation of the flame, that is, the local change rate of the flame edge length, and E represents the edge irregularity index of the flame, that is, the cumulative sum of the angle change rate along the edge, which is obtained by counting the normal direction change rate of the unit length change of the flame edge. represents a balance parameter used to balance shape compactness and edge complexity, and the value range of λ is (0, 1].

[0061] When the comprehensive characteristic vector 0<P<0.5, it means that the flame is abnormal at this time;

[0062] When the comprehensive characteristic vector 0.5≤P≤1, it means that there is no abnormality in the flame at this time.

[0063] The working principle and effect of the above technical solution are as follows: First, the characteristics of the boiler are determined according to the specific conditions of the boiler, including capacity, material and fuel type. The characteristics include thermal efficiency, thermal inertia and response speed to fuel changes. Using these characteristic information, a detailed heating plan is formulated, including heating rate and fuel supply strategy, to ensure that the boiler can be heated at the optimal temperature. After receiving the heating plan, the fuel supply system controls the ignition device to start. The exact timing and method of ignition are determined by the strategy of the heating plan to achieve the best combustion efficiency. Subsequently, according to the formulated supply strategy, the fuel supply amount is gradually increased to ensure the smooth and gradual progress of the heating process and avoid system instability or damage caused by excessive heating. During the combustion process, the system captures the image of the flame when the fuel is burning and extracts features, including the color, brightness, shape and flickering frequency of the flame. These features are fused to form a comprehensive feature vector, which is identified by the abnormality monitoring system, and the system compares it with the preset normal combustion conditions. Based on the recognition results of the comprehensive feature vector and the changes in the temperature and pressure inside the boiler, the system determines whether the current combustion is abnormal. If combustion abnormalities are detected, the system will automatically adjust the fuel supply, fuel pressure and ventilation volume to restore the combustion process to normal.

[0064] In the calculation formula of the flame shape complexity coefficient, Q / A is used to measure the compactness of the flame shape. For a given area, a flame with a smaller circumference has a more compact shape, while a flame with a larger circumference has a more complex or slender shape. W / E emphasizes the irregularity and complexity of the flame edge. E represents the rate of change of the angle of the edge, capturing the fluctuation and deformation of the flame edge. S is a characterization of the continuity of the flame contour. The combination of the two can reveal the tiny details of the flame. This formula provides an innovative way to quantify and evaluate the shape complexity of the flame by combining the multiple geometric features of the flame. The formula can flexibly adapt to different flame shape complexities and accurately reflect the changes in the spatial and morphological characteristics of the flame, so as to determine whether there is an abnormality in the flame and then determine whether there is an abnormality in the fuel combustion.

[0065] In the comprehensive feature vector calculation formula, by combining the color diversity, brightness change, shape complexity and flicker frequency of the flame, a method of deeply integrating various features is provided to quantify the flame state. Through the combination of sine functions of color and brightness, the formula can capture the nonlinear interaction between color and brightness; the square of shape complexity further enhances the sensitivity to complex forms, and the adjustment of flicker frequency ensures the stability of the calculation. The comprehensive nonlinear adjustment using the inverse tangent function enables the formula to dynamically and meticulously quantify the multidimensional characteristics of the flame, thereby improving the accuracy and sensitivity of flame monitoring.

[0066] In one embodiment of the present invention, the S4 includes:

[0067] S41: When the boiler operation approaches the preset end time, the central management system sends an end signal to the fuel supply system. After receiving the end signal, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the data of water level, air pressure and temperature in the boiler in real time, and transmits the data to the central management system in real time;

[0068] S42: The water level, air pressure and temperature all correspond to a preset safety threshold range. When the central management system determines that the data is not within the safety range, the central management system starts the emergency response system, and the emergency response system takes emergency response measures, including increasing and decreasing the water supply flow, adjusting the fuel supply, and opening and closing the safety valve;

[0069] S43: When the water level, air pressure and temperature parameters inside the boiler are all stable within a safe range, the fuel supply system continues to implement the steps of S41 until the boiler completely stops working.

[0070] The working principle and effect of the above technical solution are as follows: when the boiler operation is close to the predetermined end time, the central management system sends an end signal to the fuel supply system. After receiving the signal, the fuel supply system begins to gradually reduce the supply of fuel to prevent sudden changes in temperature and pressure caused by sudden shutdown. In this process, the sensor monitors and collects data on key parameters in the boiler, such as water level, air pressure, and temperature, in real time, and these data will be transmitted to the central management system for analysis in real time. Each parameter (such as water level, air pressure, and temperature) has a preset safety threshold range. The central management system will judge these data in real time. If a parameter exceeds the safety range, it means that there is a potential abnormality. At this time, the central management system will start the emergency response system and take corrective measures immediately, including timely increasing or decreasing the feed water flow, adjusting the fuel supply, and opening or closing the safety valve, etc., to quickly restore the parameters to a safe range. After taking necessary emergency measures, the central management system continues to monitor the water level, air pressure, and temperature inside the boiler. Once it is confirmed that all parameters are stable within the safety range, the fuel supply system will continue to follow the instructions of the end signal and gradually reduce the fuel supply until the fuel supply stops completely and the boiler shuts down. This method ensures that the boiler remains safe and stable during the shutdown process through automated and intelligent real-time monitoring and control. Its strategy of gradually reducing fuel supply effectively prevents drastic changes in temperature and pressure and reduces the impact on the equipment. In addition, through real-time data collection by sensors and agile emergency response measures of the central management system, any abnormal situation that deviates from the safety threshold can be quickly handled to ensure that key parameters are always within a safe range. This method not only increases the safety and reliability of boiler operation, but also extends the service life of the equipment, reduces maintenance costs, and improves overall operating efficiency.

[0071] One embodiment of the present invention provides a boiler operation monitoring system, characterized in that the system comprises:

[0072] Dosing system: Before the boiler is put into operation, the boiler feed water is sampled and analyzed for water quality. A dosing plan is formulated based on the analysis results, and the dosing plan is transmitted to the dosing system. After the dosing system is started, the use of the reagents and the changes in water quality are detected in real time. When the water quality fluctuates, the dosing system dynamically adjusts the amount of reagents added;

[0073] Fuel supply system: formulate a heating plan for the boiler according to the capacity, material and type of fuel of the boiler, and transmit the heating plan to the fuel supply system. After the fuel supply system obtains the heating plan, it ignites and supplies fuel to the boiler according to the heating plan, and implements countermeasures according to the external boiler flame state and the changes in internal temperature and pressure;

[0074] Data collection system: During the operation of the boiler, a data collection cycle is set. The sensor collects the operating parameters of the boiler in real time according to the data collection cycle and transmits the operating parameters to the central management system. The central management system determines whether the boiler is abnormal based on the operating parameters. If there is an abnormality, the boiler is adjusted in an emergency;

[0075] Central management system: When the boiler operation is nearing the end, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the water level, air pressure and temperature data to the central management system. When the water level, air pressure and temperature data are not within the safety threshold range, the central management system takes corresponding measures until the fuel supply system stops the fuel supply.

[0076] The working principle and effect of the above technical solution are as follows: before the boiler is operated, the system first collects boiler feed water samples for detailed water quality analysis. The analysis includes measuring the hardness, pH value, dissolved oxygen content, etc. of the water to comprehensively evaluate the water quality. According to the results of the water quality analysis, a specific dosing plan is formulated to ensure that the water quality can meet the boiler operation requirements and prevent scaling or corrosion. The dosing plan is transmitted to the dosing system, and the system will monitor and adjust the dosage of the agent in real time to cope with the dynamic changes in water quality and ensure that the water treatment process is always effective. According to the specific characteristics of the boiler (such as capacity, material, fuel type, etc.), a suitable heating plan is formulated. The plan includes heating rate and fuel supply strategy. After receiving the heating plan, the fuel supply system starts ignition and supplies fuel according to the plan. The system monitors and adjusts in real time according to the external flame state and the internal temperature and pressure changes to ensure that the boiler reaches the specified temperature safely and efficiently. During the operation of the boiler, a fixed data collection cycle is set, and sensors are used to collect the operating parameters of the boiler (such as temperature, pressure, water level, etc.) in real time. All collected data is transmitted to the central management system, which is responsible for analyzing the data and determining the operating status of the boiler. If an abnormal situation is detected, the central management system will immediately take emergency adjustment measures to ensure the continuous and safe operation of the boiler. When the boiler operation is about to end, the fuel supply system will gradually reduce the fuel supply. At the same time, the sensor continues to collect key parameters such as water level, air pressure and temperature in the boiler in real time. These data will be transmitted to the central management system for safety monitoring. If the parameters exceed the safety threshold range, the central management system will implement corresponding adjustment measures to ensure the safe cooling and shutdown of the boiler until the fuel supply is completely stopped. The operation efficiency and safety of the boiler are improved through automated and intelligent monitoring and adjustment. Real-time water quality analysis and dosing control ensure the stability of the quality of boiler water, and respond quickly to water quality fluctuations to prevent scaling and corrosion. Through precise heating plan and fuel control, the boiler temperature is steadily and efficiently increased. Real-time data collection and abnormal monitoring mechanism enable potential problems in boiler operation to be quickly discovered and handled, reducing the risk of unexpected shutdown and damage. In addition, continuous monitoring and gradual reduction of fuel supply during the shutdown process ensures a safe shutdown process for the boiler, reduces the possibility of accidents, and overall improves the reliability and longevity of the system.

[0077] In one embodiment of the present invention, the fuel supply system comprises:

[0078] Heating plan formulation system: Determine the characteristics of the boiler according to the capacity, material and fuel type of the boiler, including thermal efficiency, thermal inertia and response speed to fuel changes, formulate a heating plan according to the characteristics of the boiler, including heating rate and fuel supply strategy, and transmit the heating plan to the fuel supply system;

[0079] Ignition device: After receiving the heating plan, the fuel supply system controls the ignition device to ignite and gradually increase the fuel supply according to the preset fuel supply strategy;

[0080] Flame monitoring system: obtains the image of the flame when the fuel is burning, and extracts features from the flame image. The features include flame color, flame brightness, flame shape and flickering frequency. The features are integrated to form a comprehensive feature vector. The comprehensive feature vector is identified by the abnormality monitoring system, and based on the identification results and the changes in the temperature and pressure inside the boiler, it is determined whether there is an abnormality in the flame, and further whether there is an abnormality in the fuel combustion. When there is an abnormality in the fuel combustion, the fuel supply, fuel pressure and ventilation volume are adjusted to ensure normal combustion of the fuel.

[0081] The working principle and effect of the above technical solution are as follows: First, the characteristics of the boiler are determined according to the specific conditions of the boiler, including capacity, material and fuel type. The characteristics include thermal efficiency, thermal inertia and response speed to fuel changes. Using these characteristic information, a detailed heating plan is formulated, including heating rate and fuel supply strategy, to ensure that the boiler can be heated at the optimal temperature. After receiving the heating plan, the fuel supply system controls the ignition device to start. The exact timing and method of ignition are determined by the strategy of the heating plan to achieve the best combustion efficiency. Subsequently, according to the formulated supply strategy, the fuel supply amount is gradually increased to ensure the smooth and gradual progress of the heating process and avoid system instability or damage caused by excessive heating. During the combustion process, the system captures the image of the flame when the fuel is burning and extracts features, including the color, brightness, shape and flickering frequency of the flame. These features are fused to form a comprehensive feature vector, which is identified by the abnormality monitoring system, and the system compares it with the preset normal combustion conditions. Based on the recognition results of the comprehensive feature vector and the changes in the temperature and pressure inside the boiler, the system determines whether the current combustion is abnormal. If a combustion anomaly is detected, the system will automatically adjust the fuel supply, fuel pressure and ventilation volume to restore the combustion process to normal. The operating efficiency and safety of the boiler are improved by integrating heating plan formulation, automated ignition control and flame monitoring. First, the heating plan formulation system formulates a detailed heating strategy based on the characteristics of the boiler to ensure the efficiency and robustness of the heating process; the ignition device accurately controls the fuel supply according to this strategy to smoothly achieve startup and stable operation. The flame monitoring system captures the color, brightness, shape and flickering frequency of the flame through real-time image analysis to form a comprehensive feature vector, ensuring that the combustion process is always under monitoring, and quickly adjusts the fuel supply, pressure and ventilation volume when an abnormality occurs to ensure sufficient combustion of the fuel.

[0082] In one embodiment of the present invention, the central management system includes:

[0083] End signal sending system: When the boiler operation approaches the preset end time, the central management system sends an end signal to the fuel supply system. After receiving the end signal, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the data to the central management system in real time;

[0084] Emergency response system: Water level, air pressure and temperature all correspond to a preset safety threshold range. When the central management system determines that the data is not within the safety range, the central management system activates the emergency response system, and the emergency response system takes emergency response measures, including increasing and decreasing water flow, adjusting fuel supply, and opening and closing safety valves;

[0085] Recovery system: When the water level, air pressure and temperature parameters inside the boiler are stabilized within the safe range, the fuel supply system continues to implement the steps of the end signal sending system until the boiler stops working completely.

[0086] The working principle and effect of the above technical solution are as follows: when the boiler operation is close to the predetermined end time, the central management system sends an end signal to the fuel supply system. After receiving the signal, the fuel supply system begins to gradually reduce the supply of fuel to prevent sudden changes in temperature and pressure caused by sudden shutdown. In this process, the sensor monitors and collects data on key parameters in the boiler, such as water level, air pressure, and temperature, in real time, and these data will be transmitted to the central management system for analysis in real time. Each parameter (such as water level, air pressure, and temperature) has a preset safety threshold range. The central management system will judge these data in real time. If a parameter exceeds the safety range, it means that there is a potential abnormality. At this time, the central management system will start the emergency response system and take corrective measures immediately, including timely increasing or decreasing the feed water flow, adjusting the fuel supply, and opening or closing the safety valve, etc., to quickly restore the parameters to a safe range. After taking necessary emergency measures, the central management system continues to monitor the water level, air pressure, and temperature inside the boiler. Once it is confirmed that all parameters are stable within the safety range, the fuel supply system will continue to follow the instructions of the end signal and gradually reduce the fuel supply until the fuel supply stops completely and the boiler shuts down. This method ensures that the boiler remains safe and stable during the shutdown process through automated and intelligent real-time monitoring and control. Its strategy of gradually reducing fuel supply effectively prevents drastic changes in temperature and pressure and reduces the impact on the equipment. In addition, through real-time data collection by sensors and agile emergency response measures of the central management system, any abnormal situation that deviates from the safety threshold can be quickly handled to ensure that key parameters are always within a safe range. This method not only increases the safety and reliability of boiler operation, but also extends the service life of the equipment, reduces maintenance costs, and improves overall operating efficiency.

[0087] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A boiler operation monitoring method, characterized in that: The method comprises: S1: Before the boiler is put into operation, the boiler feed water is sampled and analyzed for water quality. A dosing plan is formulated based on the analysis results, and the dosing plan is transmitted to the dosing system. After the dosing system is started, the use of the reagents and the changes in water quality are detected in real time. When the water quality fluctuates, the dosing system dynamically adjusts the amount of reagents added; S2: According to the capacity, material and fuel type of the boiler, a heating plan for the boiler is formulated, and the heating plan is transmitted to the fuel supply system. After the fuel supply system obtains the heating plan, it ignites and supplies fuel to the boiler according to the heating plan, and implements countermeasures according to the external boiler flame state and the changes in internal temperature and pressure. The detailed steps include: S21: Determine the characteristics of the boiler according to the capacity, material and fuel type of the boiler, the characteristics including thermal efficiency, thermal inertia and response speed to fuel changes, formulate a heating plan according to the characteristics of the boiler, the heating plan including heating rate and fuel supply strategy, and transmit the heating plan to the fuel supply system; S22: After receiving the heating plan, the fuel supply system controls the ignition device to ignite, and gradually increases the fuel supply according to the preset fuel supply strategy; S23: Obtaining an image of the flame when the fuel is burning, and extracting features from the flame image, wherein the features include flame color, flame brightness, flame shape, and flickering frequency, and fusing the features to form a comprehensive feature vector. The comprehensive feature vector is identified by an abnormality monitoring system, and based on the identification result and combined with the changes in temperature and pressure inside the boiler, it is determined whether the flame is abnormal, and further whether the fuel is abnormal during combustion. When the fuel combustion is abnormal, the fuel supply, fuel pressure, and ventilation volume are adjusted to ensure normal combustion of the fuel. S3: During the operation of the boiler, a data collection cycle is set. The sensor collects the operating parameters of the boiler in real time according to the data collection cycle and transmits the operating parameters to the central management system. The central management system determines whether the boiler is abnormal based on the operating parameters. If there is an abnormality, the boiler is adjusted in an emergency; S4: When the boiler operation is nearing the end, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the water level, air pressure and temperature data to the central management system. When the water level, air pressure and temperature data are not within the safety threshold range, the central management system takes corresponding measures until the fuel supply system stops the fuel supply.

2. A boiler operation monitoring method according to claim 1, characterized in that: The S1 includes: S11: Sampling boiler feed water for water quality analysis, the analysis contents including hardness, pH value, dissolved oxygen, and salt content, integrating the analysis contents to obtain analysis results, and formulating a dosing plan based on the analysis results; S12: transmitting the dosing plan to the dosing system by wireless transmission. After receiving the dosing plan, the dosing system starts the dosing device and starts to add the reagents according to the dosing plan. The reagents include a water softener, a scale inhibitor, an acid-base regulator, a deoxidizer, and a reverse osmosis reagent. S13: During the process of adding the reagent, the water quality changes are monitored in real time. When the water quality monitoring results show that the water quality fluctuates, the dosing system dynamically adjusts the amount of reagent added.

3. A boiler operation monitoring method according to claim 1, characterized in that: The abnormalities in S3 include: water level abnormality and combustion abnormality. When the central management system determines that there is a water level abnormality in the boiler, it controls the water supply and opens the water valve; when the central management system determines that there is a combustion abnormality in the boiler, it performs step S23.

4. A boiler operation monitoring method according to claim 1, characterized in that: The S4 includes: S41: When the boiler operation approaches the preset end time, the central management system sends an end signal to the fuel supply system. After receiving the end signal, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the data of water level, air pressure and temperature in the boiler in real time, and transmits the data to the central management system in real time; S42: The water level, air pressure and temperature all correspond to a preset safety threshold range. When the central management system determines that the data is not within the safety range, the central management system activates the emergency response system, and the emergency response system takes emergency response measures, including increasing and decreasing the water supply flow, adjusting the fuel supply, and opening and closing the safety valve; S43: When the water level, air pressure and temperature parameters inside the boiler are all stable within a safe range, the fuel supply system continues to implement the steps of S41 until the boiler completely stops working.

5. A boiler operation monitoring system, characterized in that: The system comprises: Dosing system: Before the boiler is put into operation, the boiler feed water is sampled and analyzed for water quality. A dosing plan is formulated based on the analysis results, and the dosing plan is transmitted to the dosing system. After the dosing system is started, the use of the reagents and the changes in water quality are detected in real time. When the water quality fluctuates, the dosing system dynamically adjusts the amount of reagents added; Fuel supply system: According to the capacity, material and fuel type of the boiler, a heating plan for the boiler is formulated and transmitted to the fuel supply system. After the fuel supply system obtains the heating plan, it ignites and supplies fuel to the boiler according to the heating plan. According to the external boiler flame state and the changes in internal temperature and pressure, countermeasures are implemented. In addition, the fuel supply system specifically includes: Heating plan formulation system: Determine the characteristics of the boiler according to the capacity, material and fuel type of the boiler, including thermal efficiency, thermal inertia and response speed to fuel changes, formulate a heating plan according to the characteristics of the boiler, including the heating rate and fuel supply strategy, and transmit the heating plan to the fuel supply system; Ignition device: After receiving the heating plan, the fuel supply system controls the ignition device to ignite and gradually increase the fuel supply according to the preset fuel supply strategy; Flame monitoring system: obtains the image of the flame when the fuel is burning, and extracts the features of the flame image, including flame color, flame brightness, flame shape and flickering frequency, and fuses the features to form a comprehensive feature vector. The comprehensive feature vector is identified by the abnormality monitoring system, and based on the identification results, combined with the changes in the temperature and pressure inside the boiler, it is determined whether the flame is abnormal, and further whether there is an abnormality in the fuel combustion. When there is an abnormality in the fuel combustion, the fuel supply, fuel pressure and ventilation volume are adjusted to ensure normal combustion of the fuel; Data collection system: During the operation of the boiler, a data collection cycle is set. The sensor collects the operating parameters of the boiler in real time according to the data collection cycle and transmits the operating parameters to the central management system. The central management system determines whether the boiler is abnormal based on the operating parameters. If there is an abnormality, the boiler is adjusted in an emergency; Central management system: When the boiler operation is nearing the end, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the water level, air pressure and temperature data to the central management system. When the water level, air pressure and temperature data are not within the safety threshold range, the central management system takes corresponding measures until the fuel supply system stops the fuel supply.

6. A boiler operation monitoring system according to claim 5, characterized in that: The central management system comprises: End signal sending system: When the boiler operation approaches the preset end time, the central management system sends an end signal to the fuel supply system. After receiving the end signal, the fuel supply system gradually reduces the fuel supply. At the same time, the sensor collects the water level, air pressure and temperature data in the boiler in real time, and transmits the data to the central management system in real time; Emergency response system: Water level, air pressure and temperature all correspond to a preset safety threshold range. When the central management system determines that the data is not within the safety range, the central management system activates the emergency response system, which takes emergency response measures, including increasing and decreasing water flow, adjusting fuel supply, and opening and closing safety valves; Recovery system: When the water level, air pressure and temperature parameters inside the boiler are stabilized within the safe range, the fuel supply system continues to implement the steps of the end signal sending system until the boiler stops working completely.

7. An electronic device, characterized in that: A memory, a processor, and a processor stored in the memory and operable in the A computer program running on a memory, wherein the processor executes the program to implement a boiler operation monitoring method as described in any one of claims 1 to 4.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: The program is The processor executes to implement a boiler operation monitoring method as described in any one of claims 1-4.

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