Fan control method and device, electronic equipment and storage medium
By using a pre-constructed three-dimensional function to correct the wind pressure and setting the wind pressure in the fan control system, the problem of untimely adjustment of the stroke pressure in the existing technology is solved, the stability of the wind pressure and the rapid response of the boiler are achieved, and the boiler operation efficiency is improved.
Patent Information
- Application Number
- CN202411717866.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2025-02-28
Smart Images

Figure CN119536085A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of environmental protection equipment, and in particular to a fan control method and device, an electronic device and a storage medium. Background Art
[0002] Fans are a type of fluid machinery widely used in industrial production. They also play a vital role in the boiler system of power plants. Fans are responsible for providing the boiler system with an appropriate amount of air to ensure sufficient combustion of the fuel. As industrial production's requirements for energy efficiency and environmental friendliness continue to increase, the research and application of fan control technology are also becoming increasingly in-depth. The performance of the fan control system directly affects the boiler's combustion efficiency, energy consumption and emissions.
[0003] At present, fan control technologies mainly include the following: Constant air volume control: by adjusting the damper opening, the fan outlet air volume is maintained; Constant air pressure control: by adjusting the fan speed, the fan outlet air pressure is kept constant; Frequency conversion control: using the frequency converter to adjust the fan speed to achieve precise control of the air volume.
[0004] However, the existing fan control technology usually uses the average coal quantity command-wind pressure two-dimensional function model for fan control. When the load of the boiler system changes or the load fluctuates greatly, the wind pressure cannot be adjusted in time. It is difficult to maintain the stability of the wind pressure and the rapid response of the boiler under deep peak-shaving conditions, resulting in unstable combustion and affecting the boiler operation efficiency. Summary of the invention
[0005] The present disclosure provides a fan control method and device, electronic equipment and storage medium. Its main purpose is to solve the problem that when the load of the boiler system changes or the load fluctuates greatly, the wind pressure cannot be adjusted in time, and it is difficult to maintain the stability of the wind pressure and the rapid response of the boiler under deep peak load conditions, resulting in unstable combustion and affecting the operating efficiency of the boiler.
[0006] According to a first aspect of the present disclosure, a wind turbine control method is provided, comprising:
[0007] Acquire a first parameter of the fan system, and input the first parameter into a pre-constructed three-dimensional function for wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure;
[0008] Obtaining load change information of the boiler system, and performing wind pressure setting processing on the first wind pressure according to the load change information to obtain a primary wind pressure setting value; wherein the boiler system corresponds to the fan system;
[0009] The wind pressure of the fan system is adjusted according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system.
[0010] Optionally, before obtaining a first parameter of the fan system and inputting the first parameter into a pre-built three-dimensional function for wind pressure correction processing to obtain the first wind pressure, the method further includes:
[0011] Acquire the fan data of the boiler system under different loads; wherein the fan data at least includes air volume data and air pressure data;
[0012] Performing data optimization processing on the fan data to obtain first data for construction; wherein the first data for construction at least includes the relationship between the load and wind pressure of the boiler system;
[0013] Function construction processing is performed according to the first construction data to obtain the pre-constructed three-dimensional function.
[0014] Optionally, the step of inputting the first parameter into a pre-built three-dimensional function for wind pressure correction processing to obtain the first wind pressure includes:
[0015] extracting the first load in the first parameter and the average coal quantity instruction corresponding to the first load based on the pre-constructed three-dimensional function;
[0016] The first wind pressure is obtained by performing wind pressure correction processing according to the first load and the average coal quantity instruction.
[0017] Optionally, performing wind pressure setting processing on the first wind pressure according to the load change information to obtain a wind pressure setting value includes:
[0018] Performing wind pressure compensation calculation processing according to the magnitude and rate of load change carried in the load change information to obtain a wind pressure compensation value;
[0019] The first wind pressure is subjected to wind pressure setting processing according to the wind pressure compensation value to obtain the primary wind pressure setting value.
[0020] Optionally, the step of performing wind pressure regulation processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system includes:
[0021] Acquire a real-time wind pressure value of the fan system, and compare the real-time wind pressure value with the primary wind pressure setting value to obtain a comparison result;
[0022] The wind pressure of the fan system is adjusted according to the comparison result to obtain the target wind pressure corresponding to the fan system.
[0023] Optionally, performing wind pressure adjustment processing on the fan system according to the comparison result to obtain the target wind pressure corresponding to the fan system includes:
[0024] When it is determined according to the comparison result that the real-time wind pressure value is less than the primary wind pressure setting value, performing wind pressure enhancement processing on the real-time wind pressure value to obtain the target wind pressure;
[0025] When it is determined according to the comparison result that the real-time wind pressure value is greater than the primary wind pressure setting value, performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure;
[0026] When it is determined according to the comparison result that the real-time wind pressure value is equal to the primary wind pressure setting value, the real-time wind pressure value is determined as the target wind pressure.
[0027] Optionally, performing wind pressure enhancement processing on the real-time wind pressure value to obtain the target wind pressure includes:
[0028] Extracting the wind pressure difference value in the comparison result, and performing wind pressure enhancement processing on the real-time wind pressure value according to the wind pressure difference value to obtain the target wind pressure; wherein the wind pressure difference value is the difference between the real-time wind pressure value and the primary wind pressure setting value;
[0029] The performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure comprises:
[0030] The real-time wind pressure value is subjected to wind pressure reduction processing according to the wind pressure difference to obtain the target wind pressure.
[0031] According to a second aspect of the present disclosure, there is provided a fan control device, comprising:
[0032] An acquisition unit, used for acquiring a first parameter of the fan system;
[0033] A correction unit, used for inputting the first parameter into a pre-constructed three-dimensional function to perform wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure;
[0034] The acquisition unit is also used to acquire load change information of the boiler system;
[0035] a setting unit, configured to perform a wind pressure setting process on the first wind pressure according to the load change information to obtain a primary wind pressure setting value; wherein the boiler system corresponds to the fan system;
[0036] The regulating unit is used to perform wind pressure regulation processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system.
[0037] Optionally, the acquisition unit is further used to acquire the fan data of the boiler system under different loads; wherein the fan data at least includes air volume data and air pressure data;
[0038] The device also includes:
[0039] An optimization unit, configured to perform data optimization processing on the fan data to obtain first data for construction; wherein the first data for construction at least includes a relationship between the load and wind pressure of the boiler system;
[0040] A construction unit is used to perform function construction processing according to the first construction data to obtain the pre-constructed three-dimensional function.
[0041] Optionally, the correction unit includes:
[0042] an extraction module, configured to extract the first load in the first parameter and an average coal quantity instruction corresponding to the first load based on the pre-built three-dimensional function;
[0043] A correction module is used to perform wind pressure correction processing according to the first load and the average coal quantity instruction to obtain the first wind pressure.
[0044] Optionally, the setting unit includes:
[0045] A calculation module, used to perform wind pressure compensation calculation processing according to the magnitude and rate of load change carried in the load change information to obtain a wind pressure compensation value;
[0046] A setting module is used to perform wind pressure setting processing on the first wind pressure according to the wind pressure compensation value to obtain the primary wind pressure setting value.
[0047] Optionally, the adjusting unit includes:
[0048] A processing module, used for obtaining a real-time wind pressure value of the fan system, and comparing the real-time wind pressure value with the primary wind pressure setting value to obtain a comparison result;
[0049] The regulating module is used to perform wind pressure regulation processing on the fan system according to the comparison result to obtain the target wind pressure corresponding to the fan system.
[0050] Optionally, the adjustment module is further used for:
[0051] When it is determined according to the comparison result that the real-time wind pressure value is less than the primary wind pressure setting value, performing wind pressure enhancement processing on the real-time wind pressure value to obtain the target wind pressure;
[0052] When it is determined according to the comparison result that the real-time wind pressure value is greater than the primary wind pressure setting value, performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure;
[0053] When it is determined according to the comparison result that the real-time wind pressure value is equal to the primary wind pressure setting value, the real-time wind pressure value is determined as the target wind pressure.
[0054] Optionally, the adjustment module is further used for:
[0055] Extracting the wind pressure difference value in the comparison result, and performing wind pressure enhancement processing on the real-time wind pressure value according to the wind pressure difference value to obtain the target wind pressure; wherein the wind pressure difference value is the difference between the real-time wind pressure value and the primary wind pressure setting value;
[0056] The performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure comprises:
[0057] The real-time wind pressure value is subjected to wind pressure reduction processing according to the wind pressure difference to obtain the target wind pressure.
[0058] According to a third aspect of the present disclosure, there is provided an electronic device, including:
[0059] at least one processor; and
[0060] a memory communicatively connected to the at least one processor; wherein,
[0061] 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.
[0062] 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.
[0063] 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.
[0064] The fan control method and device, electronic device and storage medium provided by the present disclosure obtain a first parameter of the fan system, and input the first parameter into a pre-constructed three-dimensional function for wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to the fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure; obtain load change information of the boiler system, perform wind pressure setting processing on the first wind pressure according to the load change information, and obtain a primary wind pressure setting value; wherein the boiler system corresponds to the fan system; perform wind pressure adjustment processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system. Compared with the related art, the embodiment of the present disclosure performs wind pressure correction through a three-dimensional function representing the relationship between load, average coal quantity instruction and wind pressure, and can add load information to the wind pressure correction process. At the same time, wind pressure setting processing is performed according to load change information, and the wind pressure can be determined in real time when the load changes. When the load of the boiler system changes or the load fluctuates greatly, the wind pressure can be adjusted in time. The wind pressure stability and the rapid response of the boiler can be maintained under deep peak-shaving conditions, thereby ensuring the operating efficiency of the boiler.
[0065] 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
[0066] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.
[0067] Figure 1 A schematic flow chart of a fan control method provided by an embodiment of the present disclosure;
[0068] Figure 2 A schematic diagram of a construction process of a three-dimensional function provided in an embodiment of the present disclosure;
[0069] Figure 3 A schematic diagram of the structure of a fan control device provided by an embodiment of the present disclosure;
[0070] Figure 4 A schematic diagram of the structure of another fan control device provided by an embodiment of the present disclosure;
[0071] Figure 5 A schematic block diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION
[0072] 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.
[0073] The wind turbine control method, device, electronic device and storage medium according to the embodiments of the present disclosure are described below with reference to the accompanying drawings.
[0074] Figure 1 A schematic flow chart of a fan control method provided in an embodiment of the present disclosure.
[0075] like Figure 1 As shown, the method comprises the following steps:
[0076] Step 101, obtain a first parameter of the fan system, and input the first parameter into a pre-constructed three-dimensional function for wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to the fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure.
[0077] In the embodiment of the present disclosure, the first parameter refers to a key operating parameter of the fan system, and the first parameter is directly related to the working state of the fan, such as fan speed, inlet guide vane angle, outlet wind pressure, etc. When obtaining the first parameter, the first parameter can be obtained by, but not limited to, the following methods: collecting the first parameter in real time or periodically through a sensor, a control system or other monitoring equipment.
[0078] The pre-built three-dimensional function is a mathematical model that represents the relationship between the load, the average coal quantity instruction and the wind pressure of the boiler system under different loads. The pre-built three-dimensional function is constructed by analyzing the fan data of the boiler system under various working conditions using data fitting or machine learning techniques. The construction of the pre-built three-dimensional function takes into account the complex interaction between the boiler load, the coal quantity instruction and the wind pressure so as to more accurately predict and adjust the wind pressure.
[0079] Wind pressure correction processing refers to the calculation of the corrected wind pressure value, i.e., the first wind pressure, by a pre-built three-dimensional function based on the first parameter and the internal relationship. The purpose of wind pressure correction processing is to eliminate or reduce wind pressure deviations caused by measurement errors, equipment aging, environmental changes and other factors, to ensure that the fan system can provide appropriate air volume according to the actual operating requirements of the boiler. Through wind pressure correction processing, the operation of the fan system can more accurately match the needs of the boiler system, improving the overall combustion efficiency and system stability. By adding a load-wind pressure correction loop, the original average coal quantity instruction-wind pressure two-dimensional function is converted into a load-average coal quantity instruction-wind pressure three-dimensional function to improve the adaptability of wind pressure under deep peak regulation.
[0080] Step 102, obtaining load change information of the boiler system, performing wind pressure setting processing on the first wind pressure according to the load change information, and obtaining a primary wind pressure setting value; wherein the boiler system corresponds to the fan system.
[0081] In the disclosed embodiment, the load change information refers to the real-time change data of the load of the boiler system during operation, and the load change information includes but is not limited to: the output power, steam flow, temperature and other parameters of the boiler system. The load change information can be obtained through sensors or other monitoring equipment in the boiler control system. The wind pressure setting process refers to further adjusting and optimizing the first wind pressure according to the change information of the boiler load to ensure that the fan system can provide a wind pressure that matches the current operating state of the boiler.
[0082] The primary air pressure setting value is the final air pressure value after adjustment by the load change information, and is the target air pressure value that the fan system needs to achieve. The purpose of determining the primary air pressure setting value is to ensure that the fan system can provide an air pressure that matches the current load of the boiler to optimize combustion efficiency and boiler performance.
[0083] Among them, the control strategy and parameter setting of the fan system must match the operating characteristics of the boiler system. This means that the operation of the fan system should respond to the load changes of the boiler system, and there is a direct interaction and dependency between the two.
[0084] Through the wind pressure setting process, the fan system can effectively adapt to the changes in boiler load, ensure the provision of appropriate wind pressure, and thus optimize the boiler combustion process. By adding variable load feedforward to the primary wind pressure setting, the boiler responsiveness is improved.
[0085] Step 103 , performing wind pressure regulation processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system.
[0086] In the embodiments of the present disclosure, the process of wind pressure regulation includes but is not limited to: adjusting fan parameters: the control system adjusts the operating parameters of the fan, such as speed, damper opening, etc., according to the primary wind pressure setting value to change the wind pressure output of the fan. Closed-loop control: through a closed-loop control loop, the control system monitors the difference between the actual wind pressure and the target wind pressure in real time, and continuously adjusts the fan parameters until the actual wind pressure matches the target wind pressure. Feedback mechanism: the control system may include a feedback mechanism to ensure the accuracy and timeliness of wind pressure regulation. If the actual wind pressure deviates from the target wind pressure, the feedback signal will trigger further adjustment.
[0087] The target air pressure is the primary air pressure setting value that the air pressure output by the fan system reaches or approaches after the air pressure adjustment process. The target air pressure is a key parameter to ensure that the boiler can achieve efficient and stable combustion under different loads.
[0088] By adjusting the air pressure of the fan system according to the primary air pressure set value, the precise control function of the fan system output air pressure is achieved: this ensures that the fan system can provide the appropriate air pressure according to the actual needs of the boiler, thereby optimizing the combustion process of the boiler. By achieving the target air pressure, the boiler combustion efficiency and stability are improved: precise air pressure control helps the complete combustion of fuel, reduces pollutant emissions, and ensures the stable operation of the boiler under various working conditions. Through closed-loop control and feedback mechanisms, the fan system can respond quickly to changes in air pressure: even when the boiler load fluctuates frequently, the fan system can quickly adjust to keep the air pressure stable, improving the dynamic response capability of the boiler system.
[0089] The fan control method provided by the present disclosure obtains a first parameter of the fan system, and inputs the first parameter into a pre-constructed three-dimensional function for wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to the fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure; obtains load change information of the boiler system, performs wind pressure setting processing on the first wind pressure according to the load change information, and obtains a primary wind pressure setting value; wherein the boiler system corresponds to the fan system; performs wind pressure adjustment processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system. Compared with the related art, the embodiment of the present disclosure performs wind pressure correction through a three-dimensional function representing the relationship between load, average coal quantity instruction and wind pressure, and can add load information to the wind pressure correction process. At the same time, wind pressure setting processing is performed according to load change information, and the wind pressure can be determined in real time when the load changes. When the load of the boiler system changes or the load fluctuates greatly, the wind pressure can be adjusted in time. The wind pressure stability and the rapid response of the boiler can be maintained under deep peak-shaving conditions, thereby ensuring the operating efficiency of the boiler.
[0090] In one possible implementation of the embodiment of the present disclosure, before the first parameter is input into the pre-constructed three-dimensional function for wind pressure correction processing, it is necessary to construct the pre-constructed three-dimensional function to ensure that the wind pressure correction processing can be performed. Specifically, the embodiment of the present disclosure provides a schematic diagram of the construction process of the three-dimensional function, such as Figure 2 As shown, including:
[0091] Step 201, obtaining the fan data of the boiler system under different loads; wherein the fan data at least includes air volume data and air pressure data.
[0092] In the embodiment of the present disclosure, obtaining the fan data refers to real-time monitoring and recording of the fan operation data under different boiler load conditions, wherein the fan data includes but is not limited to: air volume (i.e., the amount of air delivered by the fan) and air pressure (i.e., the pressure of the air delivered by the fan).
[0093] Step 202, performing data optimization processing on the fan data to obtain first data for construction; wherein the first data for construction at least includes the relationship between the load and wind pressure of the boiler system;
[0094] In the disclosed embodiment, data optimization processing of wind turbine data refers to processing the collected wind turbine data to eliminate noise, outliers, and improve the accuracy and reliability of the data. The purpose of data optimization processing is to extract useful information from the original data and provide high-quality input data for subsequent function construction. Data optimization processing of wind turbine data includes but is not limited to: data cleaning, filtering, normalization, interpolation, etc.
[0095] The first construction data is optimized data. The first construction data at least includes the relationship between the load and wind pressure of the boiler system, and the relationship between the load and wind pressure of the boiler system is the key information for constructing the three-dimensional function.
[0096] Step 203: Perform function construction processing according to the first construction data to obtain the pre-constructed three-dimensional function.
[0097] In the embodiment of the present disclosure, the process of function construction includes but is not limited to: using the first construction data to construct a three-dimensional function through a mathematical modeling method. The three-dimensional function describes the relationship between boiler load, average coal quantity instruction and wind pressure. The method of function construction includes but is not limited to: statistical methods, machine learning algorithms, etc.
[0098] By acquiring fan data under different loads, a comprehensive understanding of fan performance is achieved, which helps to identify the behavior patterns of fans under different working conditions and provide a basis for optimizing control strategies. By optimizing the fan data, the data quality is improved, providing a reliable basis for function construction, ensuring that the constructed three-dimensional function can accurately reflect the relationship between boiler load and wind pressure. According to the construction of the first data for function construction, a three-dimensional function that can describe complex relationships is obtained, which provides a powerful tool for realizing precise control of the fan system, so that the fan system can automatically adjust the wind pressure according to the actual needs of the boiler.
[0099] In one implementable method of the embodiment of the present disclosure, when performing wind pressure correction processing according to the first parameter, it can also be implemented in but not limited to the following method: extracting the first load in the first parameter and the average coal quantity instruction corresponding to the first load based on the pre-constructed three-dimensional function; performing wind pressure correction processing according to the first load and the average coal quantity instruction to obtain the first wind pressure.
[0100] In the disclosed embodiment, extracting the first load and the corresponding average coal quantity instruction in the first parameter means using a pre-built three-dimensional function to extract the current boiler load, i.e., the first load, from the first parameter of the fan system. At the same time, extracting the average coal quantity instruction corresponding to the first load from the three-dimensional function. The average coal quantity instruction is the air-to-coal ratio required by the boiler control system to achieve a specific load.
[0101] The wind pressure correction process refers to correcting the wind pressure using the extracted first load and the corresponding average coal quantity instruction. The purpose of the wind pressure correction process is to calculate the wind pressure value that the fan should provide under the current boiler load and coal quantity instruction, that is, the first wind pressure.
[0102] Specifically, the process of performing wind pressure correction includes but is not limited to: Step 1: Parameter extraction: The control system first identifies the current operating status of the boiler and obtains real-time load data through sensors or other monitoring equipment. After that, the control system uses a pre-built three-dimensional function to find the corresponding average coal quantity instruction according to the current load data.
[0103] Step 2: Wind pressure correction calculation: The control system takes the first load and the average coal quantity instruction extracted as input parameters and substitutes them into a pre-built three-dimensional function. The pre-built three-dimensional function calculates the required wind pressure correction value, i.e., the first wind pressure, based on these parameters.
[0104] In one implementable manner of the embodiment of the present disclosure, when performing wind pressure setting processing based on load change information, it can also be implemented in but not limited to the following manner: performing wind pressure compensation calculation processing based on the size and rate of load change carried in the load change information to obtain a wind pressure compensation value; performing wind pressure setting processing on the first wind pressure based on the wind pressure compensation value to obtain the primary wind pressure setting value.
[0105] In the disclosed embodiment, it is necessary to first analyze the load change information, for example: monitor and analyze the load change information of the boiler system through the control system, including the magnitude of the load change (i.e. the increase or decrease in the load) and the rate of the load change (i.e. the speed of the load change).
[0106] Wind pressure compensation calculation refers to the control system's wind pressure compensation calculation based on the size and rate of load changes. This process aims to determine an additional wind pressure compensation value to adapt to the impact of load changes on wind pressure requirements. The wind pressure compensation value is to compensate for the lag or lack of wind pressure caused by rapid load changes, ensuring that the fan can provide sufficient air volume in time to maintain stable combustion of the boiler.
[0107] The wind pressure setting process refers to adjusting the first wind pressure according to the wind pressure compensation value. By adding the wind pressure compensation value to the first wind pressure, the control system obtains a new wind pressure setting value, namely, the primary wind pressure setting value.
[0108] By taking into account the magnitude and rate of load changes, the wind pressure compensation calculation can quickly adjust the wind pressure to accommodate rapid changes in boiler load. The application of wind pressure compensation values helps to maintain a stable wind pressure when the load fluctuates, thereby ensuring the stability and efficiency of boiler combustion. With accurate wind pressure settings, the fan system can work more efficiently, reduce energy consumption, and extend equipment life.
[0109] In one implementable method of the embodiment of the present disclosure, when performing wind pressure regulation processing according to the primary wind pressure setting value, it can also be implemented in but not limited to the following method: obtaining the real-time wind pressure value of the fan system, and comparing the real-time wind pressure value with the primary wind pressure setting value to obtain a comparison result; performing wind pressure regulation processing on the fan system according to the comparison result to obtain the target wind pressure corresponding to the fan system.
[0110] In the embodiment of the present disclosure, the acquisition of the real-time wind pressure value may be carried out in the following manner but is not limited thereto: the control system monitors and acquires the current wind pressure value, ie, the real-time wind pressure value, in real time through a sensor installed on the fan system.
[0111] When performing the comparison process between the real-time wind pressure value and the primary wind pressure setting value, the obtained real-time wind pressure value can be compared with the primary wind pressure setting value calculated previously by the control system. The purpose of the comparison process is to determine the difference between the real-time wind pressure value and the setting value, that is, the comparison result.
[0112] Regarding the wind pressure adjustment process, the purpose is to adjust the fan system based on the comparison results, so as to reduce or eliminate the difference between the real-time wind pressure value and the primary wind pressure setting value. The wind pressure adjustment process includes but is not limited to: adjusting the fan speed, changing the damper opening, adjusting the fan inlet guide vane angle, etc., to achieve precise control of the wind pressure. The target wind pressure refers to the target wind pressure ultimately achieved by the fan system through the wind pressure adjustment process, that is, to meet the requirements of the primary wind pressure setting value.
[0113] Through real-time monitoring and comparison processing, the system can promptly detect and correct wind pressure deviations. By adjusting the wind pressure according to real-time data, the system can better adapt to fluctuations in boiler load. By accurately controlling the wind pressure, it helps maintain the stability of boiler combustion and improves combustion efficiency. Through closed-loop control and regulation, energy waste is reduced and equipment life is extended.
[0114] In one implementable manner of the embodiment of the present disclosure, when the wind pressure of the fan system is adjusted according to the comparison result, it can also be implemented in but not limited to the following manner: when it is determined according to the comparison result that the real-time wind pressure value is less than the primary wind pressure setting value, the real-time wind pressure value is enhanced to obtain the target wind pressure; when it is determined according to the comparison result that the real-time wind pressure value is greater than the primary wind pressure setting value, the real-time wind pressure value is reduced to obtain the target wind pressure; when it is determined according to the comparison result that the real-time wind pressure value is equal to the primary wind pressure setting value, the real-time wind pressure value is determined as the target wind pressure.
[0115] In one implementable manner of the embodiment of the present disclosure, when performing wind pressure enhancement processing on the real-time wind pressure value, it can also be implemented in but not limited to the following manner: extracting the wind pressure difference value in the comparison result, and performing wind pressure enhancement processing on the real-time wind pressure value according to the wind pressure difference value to obtain the target wind pressure; wherein the wind pressure difference value is the difference between the real-time wind pressure value and the primary wind pressure setting value; performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure includes: performing wind pressure reduction processing on the real-time wind pressure value according to the wind pressure difference value to obtain the target wind pressure.
[0116] In summary, the embodiments of the present disclosure can achieve the following technical effects:
[0117] The disclosed embodiment performs wind pressure correction through a three-dimensional function representing the relationship between load, average coal quantity instruction and wind pressure. It is capable of adding load information to the wind pressure correction process. At the same time, wind pressure setting processing is performed according to load change information. The wind pressure can be determined in real time when the load changes. When the load of the boiler system changes or the load fluctuates greatly, the wind pressure can be adjusted in time. The wind pressure stability and the rapid response of the boiler can be maintained under deep peak-shaving conditions, thereby ensuring the operating efficiency of the boiler.
[0118] Corresponding to the above-mentioned fan control method, the present invention further provides a fan control device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.
[0119] Figure 3 A schematic diagram of the structure of a fan control device provided in an embodiment of the present disclosure is shown in FIG. Figure 3 As shown, including:
[0120] An acquisition unit 31, used for acquiring a first parameter of the fan system;
[0121] The correction unit 32 is used to input the first parameter into a pre-constructed three-dimensional function to perform wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to the fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure;
[0122] The acquisition unit 31 is also used to acquire load change information of the boiler system;
[0123] A setting unit 33, configured to perform wind pressure setting processing on the first wind pressure according to the load change information to obtain a primary wind pressure setting value; wherein the boiler system corresponds to the fan system;
[0124] The regulating unit 34 is used to perform wind pressure regulation processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system.
[0125] The fan control device provided by the present disclosure obtains a first parameter of the fan system, and inputs the first parameter into a pre-constructed three-dimensional function for wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to the fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure; obtains load change information of the boiler system, performs wind pressure setting processing on the first wind pressure according to the load change information, and obtains a primary wind pressure setting value; wherein the boiler system corresponds to the fan system; performs wind pressure adjustment processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system. Compared with the related art, the embodiment of the present disclosure performs wind pressure correction through a three-dimensional function representing the relationship between load, average coal quantity instruction and wind pressure, and can add load information to the wind pressure correction process. At the same time, wind pressure setting processing is performed according to load change information, and the wind pressure can be determined in real time when the load changes. When the load of the boiler system changes or the load fluctuates greatly, the wind pressure can be adjusted in time. The wind pressure stability and the rapid response of the boiler can be maintained under deep peak-shaving conditions, thereby ensuring the operating efficiency of the boiler.
[0126] Further, in a possible implementation of the embodiment of the present disclosure, the acquisition unit 31 is further used to acquire the fan data of the boiler system under different loads; wherein the fan data at least includes air volume data and air pressure data;
[0127] like Figure 4 As shown, the device also includes:
[0128] The optimization unit 35 is used to perform data optimization processing on the fan data to obtain first data for construction; wherein the first data for construction at least includes the relationship between the load and wind pressure of the boiler system;
[0129] The construction unit 36 is used to perform function construction processing according to the first construction data to obtain the pre-constructed three-dimensional function.
[0130] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the correction unit 32 includes:
[0131] An extraction module 321, configured to extract the first load in the first parameter and an average coal quantity instruction corresponding to the first load based on the pre-built three-dimensional function;
[0132] The correction module 322 is used to perform wind pressure correction processing according to the first load and the average coal quantity instruction to obtain the first wind pressure.
[0133] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the setting unit 33 includes:
[0134] A calculation module 331 is used to perform wind pressure compensation calculation processing according to the magnitude and rate of load change carried in the load change information to obtain a wind pressure compensation value;
[0135] The setting module 332 is used to perform wind pressure setting processing on the first wind pressure according to the wind pressure compensation value to obtain the primary wind pressure setting value.
[0136] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the adjustment unit 34 includes:
[0137] The processing module 341 is used to obtain the real-time wind pressure value of the fan system, and compare the real-time wind pressure value with the primary wind pressure setting value to obtain a comparison result;
[0138] The regulating module 342 is used to perform wind pressure regulation processing on the fan system according to the comparison result to obtain the target wind pressure corresponding to the fan system.
[0139] Furthermore, in a possible implementation of the embodiment of the present disclosure, the adjustment module 342 is further configured to:
[0140] When it is determined according to the comparison result that the real-time wind pressure value is less than the primary wind pressure setting value, performing wind pressure enhancement processing on the real-time wind pressure value to obtain the target wind pressure;
[0141] When it is determined according to the comparison result that the real-time wind pressure value is greater than the primary wind pressure setting value, performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure;
[0142] When it is determined according to the comparison result that the real-time wind pressure value is equal to the primary wind pressure setting value, the real-time wind pressure value is determined as the target wind pressure.
[0143] Furthermore, in a possible implementation of the embodiment of the present disclosure, the adjustment module 342 is further configured to:
[0144] Extracting the wind pressure difference value in the comparison result, and performing wind pressure enhancement processing on the real-time wind pressure value according to the wind pressure difference value to obtain the target wind pressure; wherein the wind pressure difference value is the difference between the real-time wind pressure value and the primary wind pressure setting value;
[0145] The performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure comprises:
[0146] The real-time wind pressure value is subjected to wind pressure reduction processing according to the wind pressure difference to obtain the target wind pressure.
[0147] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.
[0148] 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.
[0149] Figure 5 A schematic block diagram of an example electronic device 500 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.
[0150] like Figure 5As shown, the device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 502 or a computer program loaded from a storage unit 508 to a RAM (Random Access Memory) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An I / O (Input / Output) interface 505 is also connected to the bus 504.
[0151] A number of components in the device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.
[0152] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 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 501 performs the various methods and processes described above, such as a fan control method. For example, in some embodiments, the fan control method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to execute the aforementioned wind turbine control method in any other appropriate manner (for example, by means of firmware).
[0153] 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.
[0154] 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.
[0155] 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.
[0156] 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).
[0157] 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.
[0158] 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.
[0159] 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.
[0160] 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.
[0161] 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 fan control method, characterized in that: include: Acquire a first parameter of the fan system, and input the first parameter into a pre-constructed three-dimensional function for wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure; Obtaining load change information of the boiler system, and performing wind pressure setting processing on the first wind pressure according to the load change information to obtain a primary wind pressure setting value; wherein the boiler system corresponds to the fan system; The wind pressure of the fan system is adjusted according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system.
2. The method according to claim 1, characterized in that Before obtaining a first parameter of the fan system and inputting the first parameter into a pre-built three-dimensional function for wind pressure correction processing to obtain a first wind pressure, the method further includes: Acquire the fan data of the boiler system under different loads; wherein the fan data at least includes air volume data and air pressure data; Performing data optimization processing on the fan data to obtain first data for construction; wherein the first data for construction at least includes the relationship between the load and wind pressure of the boiler system; Function construction processing is performed according to the first construction data to obtain the pre-constructed three-dimensional function.
3. The method according to claim 1, characterized in that The step of inputting the first parameter into a pre-constructed three-dimensional function to perform wind pressure correction processing to obtain the first wind pressure includes: extracting the first load in the first parameter and the average coal quantity instruction corresponding to the first load based on the pre-constructed three-dimensional function; The first wind pressure is obtained by performing wind pressure correction processing according to the first load and the average coal quantity instruction.
4. The method according to claim 1, characterized in that The performing wind pressure setting processing on the first wind pressure according to the load change information to obtain a primary wind pressure setting value comprises: Performing wind pressure compensation calculation processing according to the magnitude and rate of load change carried in the load change information to obtain a wind pressure compensation value; The first wind pressure is subjected to wind pressure setting processing according to the wind pressure compensation value to obtain the primary wind pressure setting value.
5. The method according to claim 1, characterized in that The step of performing wind pressure adjustment processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system includes: Acquire a real-time wind pressure value of the fan system, and compare the real-time wind pressure value with the primary wind pressure setting value to obtain a comparison result; The wind pressure of the fan system is adjusted according to the comparison result to obtain the target wind pressure corresponding to the fan system.
6. The method according to claim 5, characterized in that The step of performing wind pressure adjustment processing on the fan system according to the comparison result to obtain the target wind pressure corresponding to the fan system includes: When it is determined according to the comparison result that the real-time wind pressure value is less than the primary wind pressure setting value, performing wind pressure enhancement processing on the real-time wind pressure value to obtain the target wind pressure; When it is determined according to the comparison result that the real-time wind pressure value is greater than the primary wind pressure setting value, performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure; When it is determined according to the comparison result that the real-time wind pressure value is equal to the primary wind pressure setting value, the real-time wind pressure value is determined as the target wind pressure.
7. The method according to claim 6, characterized in that The performing wind pressure enhancement processing on the real-time wind pressure value to obtain the target wind pressure comprises: Extracting the wind pressure difference value in the comparison result, and performing wind pressure enhancement processing on the real-time wind pressure value according to the wind pressure difference value to obtain the target wind pressure; wherein the wind pressure difference value is the difference between the real-time wind pressure value and the primary wind pressure setting value; The performing wind pressure reduction processing on the real-time wind pressure value to obtain the target wind pressure comprises: The real-time wind pressure value is subjected to wind pressure reduction processing according to the wind pressure difference to obtain the target wind pressure.
8. A fan control device, characterized in that: include: An acquisition unit, used for acquiring a first parameter of the fan system; A correction unit, used for inputting the first parameter into a pre-constructed three-dimensional function to perform wind pressure correction processing to obtain a first wind pressure; wherein the pre-constructed three-dimensional function is a three-dimensional function constructed according to fan data under different loads of the boiler system, representing the relationship between load, average coal quantity instruction, and wind pressure; The acquisition unit is also used to acquire load change information of the boiler system; a setting unit, configured to perform a wind pressure setting process on the first wind pressure according to the load change information to obtain a primary wind pressure setting value; wherein the boiler system corresponds to the fan system; The regulating unit is used to perform wind pressure regulation processing on the fan system according to the primary wind pressure setting value to obtain a target wind pressure corresponding to the fan system.
9. 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 1 to 7.
10. 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 1-7.