Boiler main control system, pressure adjusting method, electronic equipment and storage medium

Abstract

The invention provides a boiler master control system, a pressure adjusting method, electronic equipment and a storage medium. The system comprises a signal acquisition module, a differential control module, a pressure deviation adjusting loop and an instruction dynamic compensation loop. Compared with the prior art, according to the embodiment of the invention, the differential action intensity is calculated by utilizing the load change signal, the control valve action signal and the main steam pressure signal, so that the first coal quantity adjustment signal is accurately generated. Load change and pressure fluctuation can be responded in time, it is ensured that the coal quantity is adjusted more accurately, and boiler efficiency fluctuation or fuel waste caused by too much or too little coal quantity is avoided. The pressure deviation adjusting loop performs adjustment based on the deviation of the main steam pressure signal, so that the stability of coal quantity control is further improved; the instruction dynamic compensation loop can effectively predict and adjust the coal quantity according to the dynamic change of the boiler load, the parameters of the unit heat energy storage and the boiler capacity input rate so as to adapt to the dynamic change of the boiler load and capacity.

Description

Technical Field

[0001] The present disclosure relates to the technical field of boiler control, and in particular to a boiler main control system and a pressure regulation method, electronic equipment and storage medium. Background Art

[0002] With the continuous growth of electricity demand, thermal power units, as an important part of power supply, have become increasingly critical in grid dispatching due to their regulation capability and response speed. As the core equipment of thermal power units, the operating efficiency and stability of boilers are directly related to the economy and safety of power generation. However, in actual operation, boilers face challenges of various complex working conditions, such as load changes, coal and water ratio, pressure deviation, etc. These factors have a profound impact on the performance of boilers.

[0003] During boiler operation, the deviation of main steam pressure is one of the important factors affecting its performance. The processing mechanism for pressure deviation in the existing technology is relatively simple, and it is difficult to meet the regulation requirements under complex working conditions. Therefore, the design of a large pressure deviation coal-kicking loop and a static small deviation correction loop is added. These designs can increase or decrease the boiler energy input in time when the pressure deviation exceeds the set value, significantly improving the static response capability of the boiler. At the same time, in the case of small deviations, the additional energy input can also effectively offset the slow adjustment phenomenon of the traditional PI regulator, thereby improving the pressure regulation characteristics.

[0004] In addition, considering the complex dynamic relationship between main steam pressure deviation and load change, existing technologies often fail to fully cope with this challenge, resulting in a lag in the adjustment of boiler instructions. Therefore, how to optimize the boiler master control system and improve the operating efficiency and safety of the boiler has become a difficult problem that needs to be solved. Summary of the invention

[0005] The present disclosure provides a boiler main control system and a pressure regulation method, an electronic device and a storage medium, the main purpose of which is to improve the operating efficiency and safety of the boiler.

[0006] According to a first aspect of the present disclosure, there is provided a boiler main control system, comprising: a signal acquisition module, a differential control module, a pressure deviation adjustment loop, and a command dynamic compensation loop;

[0007] The differential control module is electrically connected to the signal acquisition module, and is used to calculate the currently required differential action strength based on the load change signal, the valve adjustment action signal and the main steam pressure signal acquired by the signal acquisition module, and generate a first coal quantity adjustment signal based on the differential action strength;

[0008] The pressure deviation regulating circuit is electrically connected to the signal acquisition module, and the pressure deviation regulating circuit is used to obtain the main steam pressure signal acquired by the signal acquisition module, calculate the pressure deviation based on the main steam pressure signal, and generate a second coal quantity adjustment signal according to the pressure deviation;

[0009] The command dynamic compensation loop is electrically connected to the signal acquisition module, and is used to obtain the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal collected by the signal acquisition module, calculate the first adjustment value of the dynamic change rate of the boiler load command and the second adjustment value of the boiler capacity input rate; based on the first adjustment value and the second adjustment value, generate a third coal quantity adjustment signal.

[0010] In some embodiments, the system further comprises: a load coal quantity function optimization module;

[0011] The load coal quantity function optimization module is used to collect historical operation data of the target boiler, analyze and determine the mapping relationship between coal consumption and water consumption under different loads; perform statistical analysis and modeling on the mapping relationship to optimize the load coal quantity function.

[0012] In some embodiments, the pressure deviation regulating loop includes: a pressure deviation large kick coal loop;

[0013] The pressure deviation large coal-kicking circuit is electrically connected to the signal acquisition module, and the pressure deviation large coal-kicking circuit is used to obtain the main steam pressure signal collected by the signal acquisition module, input the main steam pressure signal into the model predictive control to determine the boiler pressure fluctuation trend value, and generate the second coal quantity adjustment signal based on the trend value.

[0014] In some embodiments, the pressure deviation regulation loop includes: a static small deviation correction loop;

[0015] The static small deviation correction circuit is electrically connected to the signal acquisition module. The static small deviation correction circuit is used to obtain the main steam pressure signal collected by the signal acquisition module, and obtain the size and change rate information of the pressure deviation by differentiating and filtering the main steam pressure signal. When the preset conditions for static small deviation correction are met, the coal quantity value that needs to be adjusted is calculated according to the preset correction algorithm to generate the second coal quantity adjustment signal.

[0016] According to a second aspect of the present disclosure, there is provided a method for pressure regulation, comprising:

[0017] Monitor the target boiler system and collect the main steam pressure signal, load change signal, valve action signal, and unit thermal energy storage parameter signal of the target boiler system;

[0018] Based on the load change signal, the valve action signal and the main steam pressure signal, differential control is performed on the target boiler system to generate a first coal quantity adjustment signal;

[0019] According to the main steam pressure signal, the target boiler system is pressure-controlled to generate a second coal quantity adjustment signal;

[0020] Based on the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal, a first adjustment value of the dynamic change rate of the boiler load instruction and a second adjustment value of the boiler capacity input rate are calculated, and based on the first adjustment value and the second adjustment value, a third coal quantity adjustment signal is generated;

[0021] The first coal quantity adjustment signal, the second coal quantity adjustment signal, and the third coal quantity adjustment signal are used to perform pressure regulation on the target boiler system.

[0022] In some embodiments, the method further comprises:

[0023] Collect historical operation data of the target boiler system, analyze and determine the mapping relationship between coal consumption and water consumption under different loads; perform statistical analysis and modeling on the mapping relationship, optimize and establish the target load coal quantity function.

[0024] In some embodiments, the step of controlling the pressure difference of the target boiler system according to the main steam pressure signal to generate a second coal quantity adjustment signal includes:

[0025] Obtaining the main steam pressure signal collected by the signal collection module, inputting the main steam pressure signal into the model predictive control to determine the boiler pressure fluctuation trend value, and generating the second coal quantity adjustment signal based on the trend value;

[0026] The main steam pressure signal collected by the signal acquisition module is obtained, and the size and change rate information of the pressure deviation are obtained by differentiating and filtering the main steam pressure signal. When the preset conditions for static small deviation correction are met, the coal quantity value that needs to be adjusted is calculated according to the preset correction algorithm to generate the second coal quantity adjustment signal.

[0027] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0028] at least one processor; and

[0029] a memory communicatively connected to the at least one processor; wherein,

[0030] 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.

[0031] 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.

[0032] 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.

[0033] The present disclosure provides a boiler main control system and a method for pressure regulation, an electronic device and a storage medium. The system includes: a signal acquisition module, a differential control module, a pressure deviation regulation loop and an instruction dynamic compensation loop; the differential control module is electrically connected to the signal acquisition module, and the differential control module is used to calculate the currently required differential action intensity based on the load change signal, the throttle action signal and the main steam pressure signal collected by the signal acquisition module, and generate a first coal quantity adjustment signal based on the differential action intensity; the pressure deviation regulation loop is electrically connected to the signal acquisition module, and the pressure deviation regulation loop is used to obtain the main steam pressure signal collected by the signal acquisition module, calculate the pressure deviation based on the main steam pressure signal, and generate a second coal quantity adjustment signal according to the pressure deviation; the instruction dynamic compensation loop is electrically connected to the signal acquisition module, and the instruction dynamic compensation loop is used to obtain the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal collected by the signal acquisition module, calculate the first adjustment value of the dynamic change rate of the boiler load instruction and the second adjustment value of the boiler capacity input rate; based on the first adjustment value and the second adjustment value, generate a third coal quantity adjustment signal. Compared with the related art, the embodiment of the present disclosure calculates the differential action intensity by using the load change signal, the valve action signal and the main steam pressure signal, thereby accurately generating the first coal quantity adjustment signal. This can respond to load changes and pressure fluctuations in a timely manner, ensure that the adjustment of the coal quantity is more accurate, and avoid boiler efficiency fluctuations or fuel waste caused by too much or too little coal; the pressure deviation regulation loop is adjusted based on the deviation of the main steam pressure signal to ensure that it can be compensated in time when the main steam pressure deviates, thereby avoiding unstable loads caused by pressure changes and further improving the stability of coal quantity control; the command dynamic compensation loop can effectively predict and adjust the coal quantity according to the dynamic changes of the boiler load, the parameters of the unit's thermal energy storage, and the boiler capacity input rate to adapt to the dynamic changes of the boiler load and capacity. This can effectively avoid the coal quantity error caused by boiler load command fluctuations or thermal energy storage changes, thereby making the system run more smoothly; by accurately controlling the coal quantity, the system helps to optimize the boiler's combustion process and reduce unnecessary fuel consumption.

[0034] 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

[0035] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0036] Figure 1 A schematic diagram of the structure of a boiler master control system provided by an embodiment of the present disclosure;

[0037] Figure 2 A structural schematic diagram of another boiler main control system provided by an embodiment of the present disclosure;

[0038] Figure 3 A flow chart of a pressure regulation method provided in an embodiment of the present disclosure;

[0039] Figure 4 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0040] 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.

[0041] The following describes a boiler main control system, a pressure regulation method, an electronic device, and a storage medium according to an embodiment of the present disclosure with reference to the accompanying drawings.

[0042] Figure 1 A schematic diagram of the structure of a boiler master control system provided in an embodiment of the present disclosure.

[0043] like Figure 1 As shown, the system includes: a signal acquisition module 11, a differential control module 12, a pressure deviation adjustment loop 13, and a command dynamic compensation loop 14.

[0044] The differential control module 12 is electrically connected to the signal acquisition module 11. The differential control module 12 is used to calculate the currently required differential action intensity based on the load change signal, the regulating valve action signal and the main steam pressure signal collected by the signal acquisition module 11, and generate a first coal quantity adjustment signal based on the differential action intensity.

[0045] Specifically, the differential control module 12 is electrically connected to the signal acquisition module 11 through a special electrical connection line to ensure the stability and accuracy of signal transmission. The differential control module 12 has a highly intelligent algorithm processing capability, and its core function is to be able to perform fast and accurate calculation and analysis based on the key data such as the load change signal, the valve action signal and the main steam pressure signal collected in real time by the signal acquisition module 11. This calculation process is intended to accurately evaluate the dynamic change requirements under the current system operation state, and then determine the differential action intensity required at the current moment. The differential action intensity is an important parameter in the control system, which is directly related to the system's response speed and stability to the changing signal. Once the differential action intensity is determined, the differential control module 12 will further generate an accurate first coal quantity adjustment signal based on this intensity value. This adjustment signal is then used to guide the operation of the coal feeding system to ensure that the operating efficiency and stability of the entire system are in the optimal state.

[0046] The pressure deviation regulating loop 13 is electrically connected to the signal acquisition module 11, and is used to obtain the main steam pressure signal collected by the signal acquisition module 11, calculate the pressure deviation based on the main steam pressure signal, and generate a second coal quantity adjustment signal according to the pressure deviation.

[0047] Specifically, the pressure deviation regulating loop 13 is connected to the signal acquisition module 11 by electrical connection to ensure efficient and accurate data transmission. As a key control system component, the core responsibility of the pressure deviation regulating loop 13 is to precisely monitor and regulate the main steam pressure. It will first obtain the main steam pressure signal collected in real time from the signal acquisition module 11. This signal is a direct reflection of the main steam pressure status in the boiler or steam system. After obtaining the main steam pressure signal, the pressure deviation regulating loop 13 will begin to calculate the deviation between the current main steam pressure and the set target pressure. This calculation process not only needs to consider the real-time pressure data, but can also but is not limited to the integration of historical data, trend analysis and prediction models to ensure the accuracy and foresight of the deviation calculation.

[0048] The pressure deviation is accurately calculated, and the pressure deviation regulation loop 13 will generate a specific second coal quantity adjustment signal based on this deviation value and the preset control strategy. This adjustment signal is to correct the pressure deviation so that the main steam pressure can return to the set target range as quickly and smoothly as possible. The second coal quantity adjustment signal will then be sent to relevant actuators, such as the coal feed control system, to achieve accurate adjustment of the coal supply, thereby ensuring stable operation and efficient performance of the entire steam system.

[0049] The command dynamic compensation loop 14 is electrically connected to the signal acquisition module 11, and is used to obtain the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal collected by the signal acquisition module 11, calculate the first adjustment value of the dynamic change rate of the boiler load command and the second adjustment value of the boiler capacity input rate; based on the first adjustment value and the second adjustment value, generate a third coal quantity adjustment signal.

[0050] Specifically, the command dynamic compensation loop 14 is connected to the signal acquisition module 11 through an electrical connection architecture to ensure the instant and accurate transmission of various key signals. As an important component of the control system, the command dynamic compensation loop 14 undertakes the task of fine-tuning the boiler operation command. In the specific operation process, the command dynamic compensation loop 14 will obtain three sets of crucial signals from the signal acquisition module 11 in real time: the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal. The main steam pressure signal reflects the current working pressure state of the boiler and is an important reference for evaluating the operating state of the boiler; the load change signal reveals the immediate impact of external demand on the boiler output power; and the unit thermal energy storage parameter signal provides key information about the boiler's thermal energy storage and release capabilities. After obtaining these signals, the command dynamic compensation loop 14 will accurately calculate the dynamic change rate of the boiler load command to obtain the first adjustment value. This adjustment value reflects the rate at which the boiler load demand changes over time and is an important basis for adjusting the boiler operation strategy. At the same time, the loop will also calculate the second adjustment value of the boiler capacity input rate based on the unit's thermal energy storage parameter signal. This value represents the boiler's ability to stably and efficiently input thermal energy under the current state. After comprehensively analyzing the first adjustment value and the second adjustment value, the command dynamic compensation loop 14 will generate an accurate third coal quantity adjustment signal based on these key data, combined with the preset control logic and strategy. This signal is intended to optimize the operating state of the boiler by adjusting the coal supply, ensuring that the boiler can respond quickly and accurately to load changes, while maintaining the stability of the main steam pressure and the rational use of the unit's thermal energy storage. Finally, the third coal quantity adjustment signal will be sent to the coal feeding system to achieve fine control of the boiler fuel supply, thereby ensuring efficient and stable operation of the entire unit.

[0051] The present disclosure provides a boiler main control system, the system comprising: a signal acquisition module, a differential control module, a pressure deviation adjustment loop, and an instruction dynamic compensation loop; the differential control module is electrically connected to the signal acquisition module, the differential control module is used to calculate the currently required differential action intensity based on the load change signal, the throttle action signal and the main steam pressure signal collected by the signal acquisition module, and generate a first coal quantity adjustment signal based on the differential action intensity; the pressure deviation adjustment loop is electrically connected to the signal acquisition module, the pressure deviation adjustment loop is used to obtain the main steam pressure signal collected by the signal acquisition module, calculate the pressure deviation based on the main steam pressure signal, and generate a second coal quantity adjustment signal according to the pressure deviation; the instruction dynamic compensation loop is electrically connected to the signal acquisition module, the instruction dynamic compensation loop is used to obtain the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal collected by the signal acquisition module, calculate the first adjustment value of the dynamic change rate of the boiler load instruction and the second adjustment value of the boiler capacity input rate; based on the first adjustment value and the second adjustment value, generate a third coal quantity adjustment signal. Compared with the related art, the embodiment of the present disclosure calculates the differential action intensity by using the load change signal, the valve action signal and the main steam pressure signal, thereby accurately generating the first coal quantity adjustment signal. This can respond to load changes and pressure fluctuations in a timely manner, ensure that the adjustment of the coal quantity is more accurate, and avoid boiler efficiency fluctuations or fuel waste caused by too much or too little coal; the pressure deviation regulation loop is adjusted based on the deviation of the main steam pressure signal to ensure that it can be compensated in time when the main steam pressure deviates, thereby avoiding unstable loads caused by pressure changes and further improving the stability of coal quantity control; the command dynamic compensation loop can effectively predict and adjust the coal quantity according to the dynamic changes of the boiler load, the parameters of the unit's thermal energy storage, and the boiler capacity input rate to adapt to the dynamic changes of the boiler load and capacity. This can effectively avoid the coal quantity error caused by boiler load command fluctuations or thermal energy storage changes, thereby making the system run more smoothly; by accurately controlling the coal quantity, the system helps to optimize the boiler's combustion process and reduce unnecessary fuel consumption.

[0052] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the system further includes: a load coal quantity function optimization module 15;

[0053] The load coal quantity function optimization module 15 is used to collect historical operation data of the target boiler, analyze and determine the mapping relationship between coal consumption and water consumption under different loads; perform statistical analysis and modeling on the mapping relationship to optimize the load coal quantity function.

[0054] Specifically, the load coal quantity function optimization module 15 is mainly used to collect and process the historical operation data of the target boiler through scientific methods, so as to provide accurate mathematical model support for the efficient and economic operation of the boiler. This module will first comprehensively collect various data of the target boiler in the past operation process, including but not limited to the load conditions in different time periods, the corresponding coal consumption, water consumption and key indicators such as the operation efficiency of the boiler. After collecting these data, the load coal quantity function optimization module 15 will use advanced data analysis technology to deeply explore the laws behind the data. It will conduct a detailed comparative analysis of the coal consumption and water consumption under different load conditions, and explore the internal connection and mapping relationship between the two. This mapping relationship is very important for understanding the energy consumption characteristics of the boiler under different working conditions, and it can help operators to grasp the operating laws of the boiler more accurately. Next, the module will perform systematic statistical analysis and modeling processing on these mapping relationships. By using statistical principles and mathematical modeling techniques, it can extract the quantitative relationship between load, coal consumption and water consumption, and then construct a load coal quantity function that can reflect the actual operating status of the boiler. This function can not only intuitively display the energy consumption performance of the boiler under different loads, but also provide strong mathematical support for subsequent boiler operation optimization.

[0055] Finally, the load coal quantity function optimization module 15 will continuously iteratively optimize the constructed load coal quantity function. It will continuously adjust the parameters and variables in the function according to the actual operation data and feedback information of the boiler to ensure the accuracy and reliability of the function. Through this continuous optimization process, the module can help boiler operators formulate more scientific and reasonable operation strategies to achieve efficient and energy-saving operation of the boiler.

[0056] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the pressure deviation regulating circuit 13 comprises: a pressure deviation large coal kicking circuit 131;

[0057] The pressure deviation large coal-kicking circuit 131 is electrically connected to the signal acquisition module 11, and the pressure deviation large coal-kicking circuit 131 is used to obtain the main steam pressure signal collected by the signal acquisition module 11, input the main steam pressure signal into the model predictive control to determine the boiler pressure fluctuation trend value, and generate the second coal quantity adjustment signal based on the trend value.

[0058] Specifically, the pressure deviation large kick coal loop 131 is closely connected to the signal acquisition module 11 through an electrical connection, ensuring real-time and efficient transmission of data. The main responsibility of this loop is to accurately obtain the main steam pressure signal collected by the signal acquisition module 11, which is an important indicator reflecting the current operating status and steam pressure status of the boiler. After successfully obtaining the main steam pressure signal, the pressure deviation large kick coal loop 131 will accurately judge the future pressure fluctuation trend of the boiler. It will conduct an in-depth analysis of the main steam pressure signal, dig out the hidden pressure change trend, and then predict the pressure fluctuation that the boiler may face in the future. Based on the boiler pressure fluctuation trend value obtained by the model predictive control algorithm, the pressure deviation large kick coal loop 131 will make further logical judgments and decisions. If the prediction result shows that there is a large deviation or fluctuation risk in the boiler pressure, the loop will respond quickly and generate a targeted second coal quantity adjustment signal according to the preset control strategy and logic. This signal is intended to effectively respond to possible fluctuations in boiler pressure by adjusting the supply of coal to ensure that the boiler can operate stably within the set pressure range.

[0059] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the pressure deviation regulating circuit 13 comprises: a static small deviation correction circuit 132;

[0060] The static small deviation correction circuit 132 is electrically connected to the signal acquisition module 11. The static small deviation correction circuit 132 is used to obtain the main steam pressure signal collected by the signal acquisition module, and obtain the size and change rate information of the pressure deviation by differentiating and filtering the main steam pressure signal. When the preset conditions for static small deviation correction are met, the coal quantity value that needs to be adjusted is calculated according to the preset correction algorithm to generate the second coal quantity adjustment signal.

[0061] Specifically, the static small deviation correction loop 132 maintains communication with the signal acquisition module 11 through a stable electrical connection. This design can ensure that the static small deviation correction loop 132 can obtain the main steam pressure signal collected by the signal acquisition module 11 in real time and accurately. After successfully receiving the main steam pressure signal, the static small deviation correction loop 132 will immediately start its built-in signal processing process. First, it will perform differential processing on the main steam pressure signal. This step can reveal the change trend and rate of the pressure signal and provide key information for subsequent deviation judgment. Next, the loop will filter the differentiated signal to remove noise and interference therein to ensure that the pressure deviation information obtained has a high degree of accuracy and reliability. Through differential and filtering processing, the static small deviation correction loop 132 can accurately obtain the size of the pressure deviation and its change rate information. This information is crucial for judging the current operating state of the boiler and predicting possible deviation trends in the future. Next, the loop will conduct a comprehensive evaluation of the obtained deviation information based on the preset static small deviation correction conditions.

[0062] When the preset conditions for static small deviation correction are met, the static small deviation correction loop 132 will immediately start its built-in correction algorithm. This algorithm will accurately calculate the coal quantity value that needs to be adjusted based on the current pressure deviation size, change rate and boiler operation characteristics. The determination of this value is intended to effectively correct small deviations in boiler operation by fine-tuning the coal supply, ensuring that the boiler can stably operate within the preset pressure range.

[0063] Finally, the static small deviation correction loop 132 will generate an accurate second coal quantity adjustment signal based on the calculated coal quantity adjustment value. The issuance of this signal indicates that the loop has completed the fine adjustment of the boiler operation state, providing a strong guarantee for the efficient and stable operation of the boiler. Through this series of precise processing and timely adjustment, the static small deviation correction loop 132 plays a vital role in the boiler automatic control system and has made a positive contribution to the production safety and economic benefits of the enterprise.

[0064] Figure 3 A flow chart of a pressure regulation method provided in an embodiment of the present disclosure.

[0065] like Figure 3 As shown, the method comprises the following steps:

[0066] Step 201, monitor the target boiler system, and collect the main steam pressure signal, load change signal, valve action signal, and unit thermal energy storage parameter signal of the target boiler system.

[0067] Specifically, high-precision sensors and advanced signal acquisition technology are used to continuously monitor the main steam pressure of the target boiler system. These sensors are carefully arranged in key parts of the boiler system, which can capture the changes in the main steam pressure in real time and convert them into electrical signals for transmission. Through the signal acquisition module, these main steam pressure signals are accurately recorded, providing a reliable basis for subsequent data analysis and processing. Real-time monitoring of the load changes of the boiler system. By installing a load monitoring device, the current load situation of the boiler system can be obtained in real time, including key information such as the size of the load and the change trend. By installing a valve position sensor and an action monitoring device, the switch status, action speed, and position change of the valve can be captured in real time. Monitor the thermal energy storage parameters of the unit. By installing temperature, pressure and other sensors, we can obtain the thermal energy storage status of each part of the boiler system in real time, including the storage, release and distribution of heat.

[0068] After data collection is completed, data processing technology and algorithms are used to deeply analyze and process the collected main steam pressure signals, load change signals, valve action signals, and unit thermal energy storage parameter signals. Through data mining, trend prediction and other means, we can have a deeper understanding of the operating rules of the boiler system and provide a scientific basis for the subsequent formulation of boiler control strategies.

[0069] Step 202: Based on the load change signal, the valve action signal and the main steam pressure signal, differential control is performed on the target boiler system to generate a first coal quantity adjustment signal.

[0070] Specifically, the load change signal of the boiler system is captured in real time through high-precision sensors. This signal directly reflects the immediate requirements of external demand for boiler output power and is an important basis for adjusting the operating status of the boiler. The acquisition of load change signals provides key input for subsequent differential control. The action signal of the throttle valve is monitored in real time. As an important regulating component in the boiler system, the action state of the throttle valve directly affects the steam output and internal pressure of the boiler. By accurately recording the dynamic information such as the switching speed and position change of the throttle valve, we can more accurately grasp the regulation characteristics of the boiler system and provide strong support for the formulation of differential control strategies. In addition, the main steam pressure signal, as a direct reflection of the operating status of the boiler, is also an indispensable part of differential control. Using pressure sensors, the main steam pressure changes inside the boiler system are monitored in real time to ensure that the control strategy can respond quickly to pressure fluctuations and maintain the stable operation of the boiler.

[0071] After obtaining these key signals, the differential control principle is used to fine-tune the coal supply of the boiler system. The core of the differential control strategy is to predict the future operating status and demand changes of the boiler system by calculating the instantaneous change rate of the load change signal, the valve action signal and the main steam pressure signal. Based on this predicted information, the coal supply can be adjusted in advance to ensure that the boiler system can respond quickly and accurately to changes in external demand.

[0072] Step 203: According to the main steam pressure signal, the target boiler system is pressure-controlled to generate a second coal quantity adjustment signal.

[0073] Furthermore, in a possible implementation of this embodiment, the step of performing pressure difference control on the target boiler system according to the main steam pressure signal to generate a second coal quantity adjustment signal includes:

[0074] Obtaining the main steam pressure signal collected by the signal collection module, inputting the main steam pressure signal into the model predictive control to determine the boiler pressure fluctuation trend value, and generating the second coal quantity adjustment signal based on the trend value;

[0075] The main steam pressure signal collected by the signal acquisition module is obtained, and the size and change rate information of the pressure deviation are obtained by differentiating and filtering the main steam pressure signal. When the preset conditions for static small deviation correction are met, the coal quantity value that needs to be adjusted is calculated according to the preset correction algorithm to generate the second coal quantity adjustment signal.

[0076] Specifically, after obtaining the main steam pressure signal, the pressure difference calculation algorithm is used to accurately calculate the deviation between the actual pressure and the set pressure. This calculation process not only takes into account the current pressure difference, but also combines the pressure change trend and rate to ensure the timeliness and accuracy of the regulation. Next, based on the calculated pressure difference information, the pressure difference control mechanism will start the corresponding control logic. If the actual pressure is higher than the set pressure, it means that there is too much steam inside the boiler, and it may be necessary to reduce the coal supply to reduce the pressure; conversely, if the actual pressure is lower than the set pressure, it means that the boiler steam is insufficient and the coal supply needs to be increased to increase the pressure. In order to generate an accurate second coal quantity adjustment signal, the pressure difference control mechanism also considers the thermal inertia and response delay of the boiler system. By introducing the predictive control algorithm, the demand for coal quantity adjustment in the future can be predicted based on the current pressure difference information and the operating characteristics of the boiler, so as to generate an adjustment signal in advance to ensure the stable operation of the boiler system. Finally, this precisely calculated second coal quantity adjustment signal will be sent to the coal feeding device of the boiler system to achieve real-time and accurate adjustment of the coal supply. This boiler control system based on pressure difference regulation can significantly improve the operating efficiency and stability of the boiler and reduce the increase in energy consumption and emissions caused by pressure fluctuations.

[0077] Step 204, based on the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal, calculate the first adjustment value of the dynamic change rate of the boiler load instruction and the second adjustment value of the boiler capacity input rate, and generate a third coal quantity adjustment signal based on the first adjustment value and the second adjustment value.

[0078] Specifically, after obtaining the main steam pressure signal, load change signal and unit thermal energy storage parameter signal, the dynamic change rate of the boiler load instruction and the adjustment value of the boiler capacity input rate are calculated using advanced algorithms and mathematical models. The first adjustment value of the dynamic change rate reflects the rate of change of the boiler load over time, and is a key indicator for judging whether the boiler needs to quickly adjust the coal volume to respond to load changes. The second adjustment value of the boiler capacity input rate represents the response speed and efficiency of the boiler system to fuel input, and is an important basis for optimizing the coal volume adjustment strategy and improving the boiler operation efficiency. Finally, based on the calculated first adjustment value and second adjustment value, an accurate third coal volume adjustment signal is generated. This signal comprehensively considers the change trend of the boiler load, the thermal energy storage state of the system, and the response characteristics of the boiler to fuel input, and can achieve fine and real-time adjustment of the coal volume supply. Through this boiler load control system based on multi-signal fusion, the operating efficiency and stability of the boiler can be significantly improved, the immediate needs of the external load can be met, and positive contributions can be made to the energy conservation, emission reduction and economic benefit improvement of the enterprise.

[0079] Step 205: Utilize the first coal quantity adjustment signal, the second coal quantity adjustment signal, and the third coal quantity adjustment signal to perform pressure regulation on the target boiler system.

[0080] Specifically, the first coal quantity adjustment signal generated by the load change signal and the valve action signal through the differential control strategy is obtained. This signal can quickly respond to the instantaneous change of the boiler load, and preliminarily adjust the steam generation capacity of the boiler by fine-tuning the coal supply, thereby indirectly affecting the internal pressure of the boiler system. The second coal quantity adjustment signal is generated by the pressure difference control mechanism based on the main steam pressure signal. This signal further refines the adjustment of the coal quantity by accurately calculating the deviation between the internal steam pressure of the boiler and the set value, and considering the pressure change trend. It helps to eliminate system instability factors caused by pressure fluctuations and ensure the smooth operation of the boiler system.

[0081] In addition, the third coal quantity adjustment signal calculated by complex algorithms and mathematical models based on the main steam pressure signal, load change signal and unit thermal energy storage parameter signal is also an indispensable part of the pressure regulation process. This signal comprehensively considers the dynamic changes of boiler load, the thermal energy storage state of the system and the response speed of the boiler to fuel input, and can achieve more precise and forward-looking adjustments to the coal supply, thereby more effectively controlling the internal pressure of the boiler system.

[0082] In actual operation, these three coal quantity adjustment signals are comprehensively considered and weighted to form the final coal quantity control instruction. This instruction is sent to the coal feeding device of the boiler system in real time, and the internal pressure of the boiler system is precisely adjusted by accurately controlling the coal supply.

[0083] As an achievable manner of the embodiment of the present disclosure, the method further includes:

[0084] Collect historical operation data of the target boiler system, analyze and determine the mapping relationship between coal consumption and water consumption under different loads; perform statistical analysis and modeling on the mapping relationship, optimize and establish the target load coal quantity function.

[0085] Specifically, in order to deeply explore the operating potential of the target boiler system and improve its energy efficiency and stability, the long-term historical operating data of the target boiler system are collected. These data record in detail the actual operating status of the boiler at different time periods and different load levels, including but not limited to key indicators such as coal consumption, water consumption, steam production, furnace temperature, exhaust gas temperature, and energy consumption of various auxiliary equipment. Based on the data collection, data analysis techniques such as time series analysis, correlation analysis, and cluster analysis can be used to conduct in-depth exploration of the relationship between coal consumption and water consumption of the boiler system under different load conditions. By comparing the data points under different loads, the complex mapping relationship between coal consumption and water consumption is revealed. This relationship is not only affected by the load level, but also closely related to multiple factors such as the boiler's combustion efficiency, thermal efficiency, and the characteristics of the steam system.

[0086] In order to more accurately describe this mapping relationship, the collected data was further statistically analyzed and modeled. The relationship between coal consumption and water consumption was quantitatively described, and a preliminary mathematical model was established. The model was optimized and trained using machine learning algorithms, such as neural networks and support vector machines, so that it can more accurately predict the amount of coal required for the boiler system under different load conditions. In the modeling process, special attention was paid to the establishment of the target load coal quantity function. This function is a key mathematical model that describes the relationship between the load and coal quantity of the boiler system. It takes into account the influence of multiple factors such as the dynamic change of the load, the thermal inertia of the boiler, the combustion efficiency, and the water consumption. Through continuous iteration and optimization, an accurate and stable target load coal quantity function was finally established. This function can quickly calculate the optimal coal quantity required for the boiler system according to different load levels, providing strong mathematical support for the optimized operation of the boiler system.

[0087] 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.

[0088] 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.

[0089] 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.

[0090] like Figure 4As 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.

[0091] 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.

[0092] 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 pressure regulation. For example, in some embodiments, the method for pressure regulation 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 pressure regulation method in any other appropriate manner (for example, by means of firmware).

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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).

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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".

[0102] 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.

[0103] 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 boiler master control system, characterized in that: The system includes: a signal acquisition module, a differential control module, a pressure deviation adjustment loop, and a command dynamic compensation loop; The differential control module is electrically connected to the signal acquisition module, and is used to calculate the currently required differential action strength based on the load change signal, the valve adjustment action signal and the main steam pressure signal acquired by the signal acquisition module, and generate a first coal quantity adjustment signal based on the differential action strength; The pressure deviation regulating circuit is electrically connected to the signal acquisition module, and the pressure deviation regulating circuit is used to obtain the main steam pressure signal acquired by the signal acquisition module, calculate the pressure deviation based on the main steam pressure signal, and generate a second coal quantity adjustment signal according to the pressure deviation; The command dynamic compensation loop is electrically connected to the signal acquisition module, and is used to obtain the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal collected by the signal acquisition module, calculate the first adjustment value of the dynamic change rate of the boiler load command and the second adjustment value of the boiler capacity input rate; based on the first adjustment value and the second adjustment value, generate a third coal quantity adjustment signal.

2. The boiler master control system according to claim 1, characterized in that: The system further comprises: a load coal quantity function optimization module; The load coal quantity function optimization module is used to collect historical operation data of the target boiler, analyze and determine the mapping relationship between coal consumption and water consumption under different loads; perform statistical analysis and modeling on the mapping relationship to optimize the load coal quantity function.

3. The boiler master control system according to claim 1, characterized in that: The pressure deviation regulating circuit comprises: a pressure deviation large coal kicking circuit; The pressure deviation large coal-kicking circuit is electrically connected to the signal acquisition module, and the pressure deviation large coal-kicking circuit is used to obtain the main steam pressure signal collected by the signal acquisition module, input the main steam pressure signal into the model predictive control to determine the boiler pressure fluctuation trend value, and generate the second coal quantity adjustment signal based on the trend value.

4. The boiler master control system according to claim 1, characterized in that: The pressure deviation adjustment circuit comprises: a static small deviation correction circuit; The static small deviation correction circuit is electrically connected to the signal acquisition module. The static small deviation correction circuit is used to obtain the main steam pressure signal collected by the signal acquisition module, and obtain the size and change rate information of the pressure deviation by differentiating and filtering the main steam pressure signal. When the preset conditions for static small deviation correction are met, the coal quantity value that needs to be adjusted is calculated according to the preset correction algorithm to generate the second coal quantity adjustment signal.

5. A method for pressure regulation, characterized in that: include: Monitor the target boiler system and collect the main steam pressure signal, load change signal, valve action signal, and unit thermal energy storage parameter signal of the target boiler system; Based on the load change signal, the valve action signal and the main steam pressure signal, differential control is performed on the target boiler system to generate a first coal quantity adjustment signal; According to the main steam pressure signal, the target boiler system is pressure-controlled to generate a second coal quantity adjustment signal; Based on the main steam pressure signal, the load change signal and the unit thermal energy storage parameter signal, a first adjustment value of the dynamic change rate of the boiler load instruction and a second adjustment value of the boiler capacity input rate are calculated, and based on the first adjustment value and the second adjustment value, a third coal quantity adjustment signal is generated; The first coal quantity adjustment signal, the second coal quantity adjustment signal, and the third coal quantity adjustment signal are used to perform pressure regulation on the target boiler system.

6. The method according to claim 5, characterized in that The method further comprises: Collect historical operation data of the target boiler system, analyze and determine the mapping relationship between coal consumption and water consumption under different loads; perform statistical analysis and modeling on the mapping relationship, optimize and establish the target load coal quantity function.

7. The method according to claim 5, characterized in that The step of controlling the pressure difference of the target boiler system according to the main steam pressure signal to generate a second coal quantity adjustment signal includes: Obtaining the main steam pressure signal collected by the signal collection module, inputting the main steam pressure signal into the model predictive control to determine the boiler pressure fluctuation trend value, and generating the second coal quantity adjustment signal based on the trend value; The main steam pressure signal collected by the signal acquisition module is obtained, and the size and change rate information of the pressure deviation are obtained by differentiating and filtering the main steam pressure signal. When the preset conditions for static small deviation correction are met, the coal quantity value that needs to be adjusted is calculated according to the preset correction algorithm to generate the second coal quantity adjustment signal.

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 5 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 5-7.

10. A computer program product, characterized in that It comprises a computer program which, when executed by a processor, implements the method according to any one of claims 5 to 7.

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