Boiler combustion data optimization management system and method based on three-dimensional calculation model

Abstract

The invention discloses a boiler combustion data optimization management system and method based on a three-dimensional calculation model, and relates to the technical field of boiler combustion data management.The method comprises the steps that the influence degree of boiler working parameters on the boiler combustion state is analyzed, and key parameter data is obtained; key parameter data of the boiler are obtained, the mutual influence degree between key boiler working parameters in the boiler combustion process is analyzed in combination with historical combustion records of the boiler, and mutual influence key parameter data are obtained; constructing a three-dimensional calculation model, and optimizing and adjusting the three-dimensional calculation model in combination with the key parameter data of the boiler and the mutual influence key parameter data to obtain a target three-dimensional calculation model of the boiler; and the boiler in the current period is monitored, the combustion state of the boiler in the current period is intelligently adjusted based on the target three-dimensional calculation model, and optimization management is conducted on boiler combustion data.

Description

Technical Field

[0001] The invention relates to the technical field of boiler combustion data management, and in particular to a boiler combustion data optimization management system and method based on a three-dimensional calculation model. Background Art

[0002] A three-dimensional computational model is a mathematical model that uses three-dimensional computer graphics technology and numerical simulation technology. It usually uses a three-dimensional coordinate system to represent the shape, size, and position of an object. It is widely used in engineering, science, animation, game development, virtual reality, and other fields. The three-dimensional computational model can accurately simulate the stereodynamics and combustion chemistry inside the boiler. This high-precision simulation can provide more accurate data support and optimized decision-making for boiler combustion phenomena. In addition, through the three-dimensional computational model, it can also simulate the impact of different design parameters on combustion performance, thereby optimizing boiler design.

[0003] For boilers, different boilers have different design types. During the combustion process of the boiler, different parameters will have different effects on the boiler performance. At the same time, the operating conditions of the boiler during combustion are also different. However, in the current boiler combustion management process, these factors are rarely considered. Most of them are unable to dynamically manage the boiler combustion according to the actual situation during the boiler combustion process. This may not only lead to low boiler combustion efficiency, but may even cause safety accidents during the boiler combustion process. Summary of the invention

[0004] The purpose of the present invention is to provide a boiler combustion data optimization management system set method based on a three-dimensional calculation model to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a boiler combustion data optimization management method based on a three-dimensional calculation model, the method comprising:

[0006] Step S100: Obtain historical combustion records of the boiler, extract historical boiler combustion data from the historical combustion records, analyze the influence of boiler operating parameters on boiler combustion status, and obtain key parameter data;

[0007] Step S200: Acquire key parameter data of the boiler, and analyze the mutual influence degree between key boiler operating parameters during boiler combustion process in combination with historical combustion records of the boiler, and obtain key parameter data of mutual influence;

[0008] Step S300: constructing a three-dimensional calculation model, and optimizing and adjusting the three-dimensional calculation model in combination with the key parameter data of the boiler and the key parameter data that influence each other, to obtain a target three-dimensional calculation model of the boiler;

[0009] Step S400: monitor the boiler in the current cycle, and based on the target three-dimensional calculation model, intelligently adjust the combustion state of the boiler in the current cycle, and optimize the management of the boiler combustion data.

[0010] Furthermore, step S100 includes:

[0011] Step S101: acquiring each historical combustion record of the boiler, and extracting historical boiler combustion data of the boiler from the historical combustion record of the boiler, wherein the historical boiler combustion data includes the fuel amount of the fuel burned by the boiler and the steam flow rate of the steam;

[0012] Step S102: Calculate the characteristic boiler combustion efficiency of each boiler in the historical combustion record, where the characteristic combustion efficiency P of the boiler in the ath historical combustion record is a =(F a ×L a ) / (S a ×h a )×100%, where F a is the fuel quantity of the boiler in the ath historical combustion record, H a is the calorific value of the fuel burned by the boiler in the ath historical combustion record, S a is the steam flow rate of the boiler in the ath historical combustion record, h a is the specific enthalpy of the steam of the boiler in the ath historical combustion record;

[0013] Step S103: acquiring data corresponding to various boiler operating parameters during the boiler combustion process from the historical combustion records of the boiler;

[0014] Step S104: analyzing the influence of the boiler operating parameters on the boiler combustion state during the boiler combustion process, wherein the specific process of analyzing the influence of the bth item of boiler operating parameters on the boiler combustion state is to obtain the average value of the bth item of boiler operating parameters in each historical combustion record, and rank the characteristic boiler combustion efficiency and the average value of the bth item of boiler operating parameters respectively;

[0015] Step S105: Calculate the characteristic ranking difference between the bth item of boiler operating parameter in each historical combustion record and the characteristic boiler combustion efficiency of the boiler, wherein the characteristic ranking difference G between the bth item of boiler operating parameter in the cth historical combustion record and the characteristic boiler combustion efficiency of the boiler is b,c =R(γ c )-R(b c ), where R(γ c ) represents the ranking of the characteristic boiler combustion efficiency of the boiler in the cth historical combustion record, R(b c) is represented by the ranking of the bth boiler operating parameter in the cth historical combustion record;

[0016] Step S106: Calculate the influence value r of the bth boiler operating parameter on the boiler's characteristic combustion b :

[0017]

[0018] Among them, G b,i It is represented by the characteristic ranking difference between the bth boiler operating parameter in the i-th historical combustion record and the characteristic boiler combustion efficiency of the boiler; n is represented by the total number of historical combustion records of the boiler;

[0019] Step S107: Setting the first characteristic combustion influence threshold r △,1 , the second characteristic combustion influence threshold r △,2 , where r △,1 >0>r △,2 , when the characteristic combustion influence value r b >r △,1 When the bth boiler working parameter of the boiler is determined to rise, it has a positive effect on the characteristic boiler combustion efficiency. When the characteristic combustion influence value r b <r △,2 When , it is determined that the bth boiler working parameter of the boiler increases, which has a negative effect on the characteristic boiler combustion efficiency. On the contrary, it is determined that the bth boiler working parameter of the boiler increases, which has no monotonous effect on the characteristic boiler combustion efficiency.

[0020] Step S108: obtaining several boiler operating parameters that have an impact on the combustion state of the boiler, and recording the several boiler operating parameters as key boiler operating parameters, obtaining the key boiler operating parameters of the boiler and collecting them to obtain key parameter data of the boiler;

[0021] In the above steps, the influence values ​​of various boiler operating parameters on the characteristic combustion of the boiler are calculated. Because different boilers have different design types, the influence of boiler operating parameters on the boiler combustion state is analyzed, and the boiler operating parameters with greater influence on boiler combustion are obtained. The key boiler operating parameters are obtained, which greatly improves the accuracy and effectiveness of boiler combustion control.

[0022] Further, step S200 includes:

[0023] Step S201: Acquire key parameter data of the boiler, and extract various key boiler operating parameters of the boiler from the key parameter data;

[0024] Step S202: Analyze the degree of mutual influence among the key boiler operating parameters during the boiler combustion process. Specifically, the specific analysis process for the degree of mutual influence between the α-th key boiler operating parameter and the β-th key boiler operating parameter of the boiler is to calculate the parameter influence degree L of the α-th key boiler operating parameter on the β-th key boiler operating parameter α,β :

[0025]

[0026] where n represents the total number of historical combustion records of the boiler; Y α,i represents the average value of the α-th key boiler operating parameter in the i-th historical combustion record of the boiler; Y β,i represents the average value of the β-th key boiler operating parameter in the i-th historical combustion record;

[0027] Step S203: Set the first parameter influence threshold L1 and the second parameter influence threshold L2. Wherein, when L α,β > L1, it is determined that the α-th key boiler operating parameter has a positive influence on the β-th key boiler operating parameter. When L α,β < L2, it is determined that the α-th key boiler operating parameter has a negative influence on the β-th key boiler operating parameter. When < L2 < L α,β < L1, it is determined that the α-th key boiler operating parameter has no influence on the β-th key boiler operating parameter in the boiler;

[0028] Step S204: Obtain and collect several key boiler operating parameters that have an impact in the boiler to obtain mutual influence key parameter data.

[0029] Further, step S300 includes:

[0030] Step S301: Obtain the historical combustion record data of the boiler from the historical combustion records of the boiler. The historical combustion record data includes various environmental parameters and corresponding data of the boiler operating parameters during boiler combustion;

[0031] Step S302: Construct a three-dimensional calculation model of the boiler, obtain the key parameter data of the boiler, use the key boiler operating parameters in the key parameter data as the input variables of the model, perform parameterization settings, and define the target optimization function of the boiler;

[0032] Step S303: Set the optimization conditions of the three-dimensional calculation model, and optimize the three-dimensional calculation model of the boiler in combination with the mutual influence key parameter data of the boiler. The specific optimization process includes constructing the optimization function V(x; θ) of the boiler, where x represents the key boiler operating parameters of the boiler, and θ represents the model parameters to be optimized of the boiler;

[0033] Step S304: Obtain the historical values ​​of the key boiler operating parameters and the target optimization function of the boiler at each historical time point, and construct the characteristic target function U(θ):

[0034]

[0035] Where j represents the total number of each historical time point; Q z It is represented as the value of the objective optimization function of the boiler at the zth historical time point; X z It is expressed as the value of the key boiler operating parameter at the zth historical time point of the boiler;

[0036] Step S305: Optimize the model parameters in the characteristic objective function U(θ) and calculate the gradient of the characteristic objective function U(θ)

[0037]

[0038] Update model parameters:

[0039]

[0040] Among them, θ new is the updated model parameter; θ old are the model parameters before updating;

[0041] Step S306: Repeat step S305. When the characteristic objective function U(θ) is less than the preset characteristic model threshold, stop optimizing the model parameters in the characteristic objective function U(θ), ​​and verify the optimized three-dimensional calculation model to obtain the target three-dimensional calculation model of the boiler.

[0042] Furthermore, step S400 includes:

[0043] Step S401: obtaining a target three-dimensional calculation model of the boiler, monitoring the boiler that is performing combustion work in the current cycle, inputting the monitoring data into the target three-dimensional calculation model, and obtaining control data output by the target three-dimensional calculation model;

[0044] Step S402: Based on the control data output by the target three-dimensional calculation model, the boiler operating parameters of the boiler are controlled and adjusted, the boiler operating parameters of the boiler are intelligently adjusted, and the boiler combustion data is optimized and managed.

[0045] In order to better implement the above method, a boiler combustion data optimization management system based on a three-dimensional calculation model is also proposed. The system includes a key parameter data module, a mutually influencing key parameter data module, a target three-dimensional calculation model module, and an optimization management module;

[0046] The key parameter data module is used to analyze the influence of boiler operating parameters on boiler combustion status and obtain key parameter data;

[0047] The mutual influence key parameter data module is used to obtain the key parameter data of the boiler, and analyze the mutual influence degree between the key boiler working parameters during the boiler combustion process in combination with the historical combustion records of the boiler, and obtain the mutual influence key parameter data;

[0048] The target three-dimensional calculation model module is used to optimize and adjust the three-dimensional calculation model by combining the key parameter data of the boiler and the key parameter data that influence each other, so as to obtain the target three-dimensional calculation model of the boiler;

[0049] The optimization management module is used to monitor the boiler in the current cycle, and based on the target three-dimensional calculation model, intelligently adjust the combustion state of the boiler in the current cycle and optimize the management of the boiler combustion data.

[0050] Further, the key parameter data module includes a characteristic combustion impact value unit and a key parameter data unit;

[0051] Characteristic combustion influence value unit, used for the characteristic combustion influence value of each boiler operating parameter of the boiler;

[0052] The key parameter data unit is used to acquire and collect the key boiler operating parameters of the DIO boiler to obtain the key parameter data of the boiler.

[0053] Further, the mutually influencing key parameter data module includes a parameter influence degree unit and a mutually influencing key parameter data unit;

[0054] The parameter influence degree unit is used to calculate the parameter influence degree between various key boiler operating parameters of the boiler;

[0055] The mutually influencing key parameter data unit is used to collect several key boiler operating parameters that have an impact on the boiler and obtain the mutually influencing key parameter data.

[0056] Furthermore, the target three-dimensional computational model module includes a model building unit and a model optimization unit;

[0057] A model building unit, used for acquiring historical combustion record data of the boiler from the historical combustion record of the boiler, and building a three-dimensional calculation model of the boiler;

[0058] The model optimization unit is used to optimize and adjust the three-dimensional calculation model, verify the optimized three-dimensional calculation model, and obtain the target three-dimensional calculation model of the boiler.

[0059] Further, the optimization management module includes an optimization management unit;

[0060] The optimization management unit is used to monitor the boiler that is performing combustion work in the current cycle, input the monitoring data into the target three-dimensional calculation model, and obtain the control data of the output of the target three-dimensional calculation model, control and adjust the boiler working parameters of the boiler, intelligently adjust the boiler working parameters of the boiler, and optimize the management of the boiler combustion data.

[0061] Compared with the prior art, the beneficial effects of the present invention are: the present invention performs intelligent optimization management on the boiler combustion data of the boiler based on the three-dimensional calculation model, takes into account the mutual influence effects between the key boiler operating parameters in the boiler combustion process, so that the understanding of the boiler operating parameters of the boiler is more accurate and scientific, and also optimizes and adjusts the constructed three-dimensional calculation model, and then uses the optimized and adjusted three-dimensional calculation model to optimize the management of the boiler combustion data, thereby greatly improving the combustion efficiency of the boiler and reducing the probability of safety accidents occurring during the boiler combustion process. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a method flow chart of a boiler combustion data optimization management system and method based on a three-dimensional calculation model of the present invention;

[0063] Figure 2 It is a module schematic diagram of a boiler combustion data optimization management system and method based on a three-dimensional calculation model of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution, a boiler combustion data optimization management method based on a three-dimensional calculation model, the method comprising:

[0066] Step S100: Obtain historical combustion records of the boiler, extract historical boiler combustion data from the historical combustion records, analyze the influence of boiler operating parameters on boiler combustion status, and obtain key parameter data;

[0067] Wherein, step S100 includes:

[0068] Step S101: acquiring each historical combustion record of the boiler, and extracting historical boiler combustion data of the boiler from the historical combustion record of the boiler, wherein the historical boiler combustion data includes the fuel amount of the fuel burned by the boiler and the steam flow rate of the steam;

[0069] Step S102: Calculate the characteristic boiler combustion efficiency of each boiler in the historical combustion record, where the characteristic combustion efficiency P of the boiler in the ath historical combustion record is a =(F a ×L a ) / (S a ×h a )×100%, where F a is the fuel quantity of the boiler in the ath historical combustion record, H a is the calorific value of the fuel burned by the boiler in the ath historical combustion record, S a is the steam flow rate of the boiler in the ath historical combustion record, h a is the specific enthalpy of the steam of the boiler in the ath historical combustion record;

[0070] Step S103: acquiring data corresponding to various boiler operating parameters during the boiler combustion process from the historical combustion records of the boiler;

[0071] For example, various boiler operating parameters include air intake flow, fuel flow, air excess coefficient, combustion temperature, etc.;

[0072] Step S104: analyzing the influence of the boiler operating parameters on the boiler combustion state during the boiler combustion process, wherein the specific process of analyzing the influence of the bth item of boiler operating parameters on the boiler combustion state is to obtain the average value of the bth item of boiler operating parameters in each historical combustion record, and rank the characteristic boiler combustion efficiency and the average value of the bth item of boiler operating parameters respectively;

[0073] Step S105: Calculate the characteristic ranking difference between the bth item of boiler operating parameter in each historical combustion record and the characteristic boiler combustion efficiency of the boiler, wherein the characteristic ranking difference G between the bth item of boiler operating parameter in the cth historical combustion record and the characteristic boiler combustion efficiency of the boiler is b,c =R(γ c )-R(b c ), where R(γ c ) represents the ranking of the characteristic boiler combustion efficiency of the boiler in the cth historical combustion record, R(b c ) is represented by the ranking of the bth boiler operating parameter in the cth historical combustion record;

[0074] Step S106: Calculate the influence value r of the bth boiler operating parameter on the boiler's characteristic combustionb :

[0075]

[0076] Among them, G b,i It is represented by the characteristic ranking difference between the bth boiler operating parameter in the i-th historical combustion record and the characteristic boiler combustion efficiency of the boiler; n is represented by the total number of historical combustion records of the boiler;

[0077] For example, the average values ​​of the second boiler operating parameter of the boiler in each historical combustion record are 4, 2, 5, 3, and 1 respectively, and the characteristic boiler combustion efficiency of the boiler in each historical combustion record is 0.10, 0.20, 0.15, 0.25, and 0.30 respectively;

[0078] Calculate the influence value ra2 of the second boiler operating parameter on the boiler's characteristic combustion:

[0079]

[0080] Step S107: Setting the first characteristic combustion influence threshold r △,1 , the second characteristic combustion influence threshold r △,2 , where r △,1 >0>r △,2 , when the characteristic combustion influence value r b >r △,1 When the bth boiler working parameter of the boiler is determined to rise, it has a positive effect on the characteristic boiler combustion efficiency. When the characteristic combustion influence value r b <r △,2 When , it is determined that the bth boiler working parameter of the boiler increases, which has a negative effect on the characteristic boiler combustion efficiency. On the contrary, it is determined that the bth boiler working parameter of the boiler increases, which has no monotonous effect on the characteristic boiler combustion efficiency.

[0081] Step S108: obtaining several boiler operating parameters that have an impact on the combustion state of the boiler, and recording the several boiler operating parameters as key boiler operating parameters, obtaining the key boiler operating parameters of the boiler and collecting them to obtain key parameter data of the boiler;

[0082] Step S200: Acquire key parameter data of the boiler, and analyze the mutual influence degree between key boiler operating parameters during boiler combustion process in combination with historical combustion records of the boiler, and obtain key parameter data of mutual influence;

[0083] Wherein, step S200 includes:

[0084] Step S201: Acquire key parameter data of the boiler, and extract various key boiler operating parameters of the boiler from the key parameter data;

[0085] Step S202: Analyze the degree of mutual influence among key boiler operating parameters during the boiler combustion process. Among them, the specific analysis process for the degree of mutual influence between the α-th key boiler operating parameter and the β-th key boiler operating parameter of the boiler is to calculate the parameter influence degree L of the α-th key boiler operating parameter on the β-th key boiler operating parameter α,β :

[0086]

[0087] where n represents the total number of each historical combustion record of the boiler; Y α,i represents the average value of the α-th key boiler operating parameter in the i-th historical combustion record of the boiler; Y β,i represents the average value of the β-th key boiler operating parameter in the i-th historical combustion record;

[0088] Step S203: Set the first parameter influence threshold L1 and the second parameter influence threshold L2. Among them, when L α,β > L1, it is determined that the α-th key boiler operating parameter has a positive influence on the β-th key boiler operating parameter. When L α,β < L2, it is determined that the α-th key boiler operating parameter has a negative influence on the β-th key boiler operating parameter. When < L2 < L α,β < L1, it is determined that the α-th key boiler operating parameter has no influence on the β-th key boiler operating parameter in the boiler;

[0089] Step S204: Obtain and collect several key boiler operating parameters with influence in the boiler to obtain mutually influential key parameter data;

[0090] Step S300: Construct a three-dimensional calculation model, and combine the key parameter data and mutually influential key parameter data of the boiler to optimize and adjust the three-dimensional calculation model to obtain the target three-dimensional calculation model of the boiler;

[0091] Among them, Step S300 includes:

[0092] Step S301: Obtain the historical combustion record data of the boiler from the historical combustion records of the boiler. The historical combustion record data includes various environmental parameters and corresponding data of boiler operating parameters during boiler combustion;

[0093] Step S302: Construct a three-dimensional calculation model of the boiler, obtain the key parameter data of the boiler, use the key boiler operating parameters in the key parameter data as the input variables of the model, perform parameter setting, and define the target optimization function of the boiler;

[0094] For example, the objective optimization function of a boiler includes maximizing the boiler's combustion efficiency and minimizing the exhaust gas temperature;

[0095] Step S303: setting the optimization conditions of the three-dimensional calculation model, optimizing the three-dimensional calculation model of the boiler in combination with the key parameter data of the boiler that influence each other, and the specific optimization process includes constructing an optimization function V(x;θ) of the boiler, wherein x represents the key boiler operating parameter of the boiler, and θ represents the model parameter of the boiler to be optimized;

[0096] For example, the optimization conditions of the three-dimensional computational model include the operating temperature range and operating pressure range of the boiler;

[0097] For example, model parameters include the flow rate, velocity, and pressure of the fuel flowing into the boiler;

[0098] Step S304: Obtain the historical values ​​of the key boiler operating parameters and the target optimization function of the boiler at each historical time point, and construct the characteristic target function U(θ):

[0099]

[0100] Where j represents the total number of each historical time point; Q z It is represented as the value of the objective optimization function of the boiler at the zth historical time point; X z It is expressed as the value of the key boiler operating parameter at the zth historical time point of the boiler;

[0101] Step S305: Optimize the model parameters in the characteristic objective function U(θ) and calculate the gradient of the characteristic objective function U(θ)

[0102]

[0103] Update model parameters:

[0104]

[0105] Among them, θ new is the updated model parameter; θ old are the model parameters before updating;

[0106] Step S306: Repeat step S305. When the characteristic objective function U(θ) is less than the preset characteristic model threshold, stop optimizing the model parameters in the characteristic objective function U(θ), ​​and verify the optimized three-dimensional calculation model to obtain the target three-dimensional calculation model of the boiler.

[0107] Step S400: monitoring the boiler in the current cycle, and based on the target three-dimensional calculation model, intelligently adjusting the combustion state of the boiler in the current cycle, and optimizing the management of the boiler combustion data;

[0108] Wherein, step S400 includes:

[0109] Step S401: obtaining a target three-dimensional calculation model of the boiler, monitoring the boiler that is performing combustion work in the current cycle, inputting the monitoring data into the target three-dimensional calculation model, and obtaining control data output by the target three-dimensional calculation model;

[0110] Step S402: Based on the control data output by the target three-dimensional calculation model, the boiler operating parameters of the boiler are controlled and adjusted, the boiler operating parameters of the boiler are intelligently adjusted, and the boiler combustion data is optimized and managed;

[0111] In order to better implement the above method, a boiler combustion data optimization management system based on a three-dimensional calculation model is also proposed. The system includes a key parameter data module, a mutually influencing key parameter data module, a target three-dimensional calculation model module, and an optimization management module;

[0112] The key parameter data module is used to analyze the influence of boiler operating parameters on boiler combustion status and obtain key parameter data;

[0113] The mutual influence key parameter data module is used to obtain the key parameter data of the boiler, and analyze the mutual influence degree between the key boiler working parameters during the boiler combustion process in combination with the historical combustion records of the boiler, and obtain the mutual influence key parameter data;

[0114] The target three-dimensional calculation model module is used to optimize and adjust the three-dimensional calculation model by combining the key parameter data of the boiler and the key parameter data that influence each other, so as to obtain the target three-dimensional calculation model of the boiler;

[0115] The optimization management module is used to monitor the boilers in the current cycle, and based on the target three-dimensional calculation model, intelligently adjust the combustion state of the boilers in the current cycle and optimize the management of boiler combustion data;

[0116] Among them, the key parameter data module includes a characteristic combustion impact value unit and a key parameter data unit;

[0117] Characteristic combustion influence value unit, used for the characteristic combustion influence value of each boiler operating parameter of the boiler;

[0118] Key parameter data unit, used to acquire and collect key boiler operating parameters of the Dio boiler to obtain key parameter data of the boiler;

[0119] Among them, the mutually influencing key parameter data module includes a parameter influence degree unit and a mutually influencing key parameter data unit;

[0120] The parameter influence degree unit is used to calculate the parameter influence degree between various key boiler operating parameters of the boiler;

[0121] The mutually influencing key parameter data unit is used to collect several key boiler operating parameters that have an impact on the boiler and obtain the mutually influencing key parameter data;

[0122] Among them, the target three-dimensional calculation model module includes a model construction unit and a model optimization unit;

[0123] A model building unit, used for acquiring historical combustion record data of the boiler from the historical combustion record of the boiler, and building a three-dimensional calculation model of the boiler;

[0124] A model optimization unit is used to optimize and adjust the three-dimensional calculation model, verify the optimized three-dimensional calculation model, and obtain a target three-dimensional calculation model of the boiler;

[0125] Wherein, the optimization management module includes an optimization management unit;

[0126] The optimization management unit is used to monitor the boiler that is performing combustion work in the current cycle, input the monitoring data into the target three-dimensional calculation model, and obtain the control data of the output of the target three-dimensional calculation model, control and adjust the boiler working parameters of the boiler, intelligently adjust the boiler working parameters of the boiler, and optimize the management of the boiler combustion data.

[0127] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A boiler combustion data optimization management method based on a three-dimensional calculation model, characterized in that: The method comprises: Step S100: Obtain historical combustion records of the boiler, extract historical boiler combustion data from the historical combustion records, analyze the influence of boiler operating parameters on the combustion state of the boiler, and obtain key parameter data; Step S200: acquiring key parameter data of the boiler, and analyzing the mutual influence degree between key boiler operating parameters during boiler combustion in combination with the historical combustion record of the boiler, to obtain the mutually influencing key parameter data; Step S300: constructing a three-dimensional calculation model, and optimizing and adjusting the three-dimensional calculation model in combination with the key parameter data of the boiler and the mutually influencing key parameter data, to obtain a target three-dimensional calculation model of the boiler; Step S400: monitor the boiler in the current cycle, and based on the target three-dimensional calculation model, intelligently adjust the combustion state of the boiler in the current cycle, and optimize the management of the boiler combustion data.

2. A boiler combustion data optimization management method based on a three-dimensional calculation model according to claim 1, characterized in that: The step S100 includes: Step S101: acquiring each historical combustion record of the boiler, and extracting the historical boiler combustion data of the boiler from the historical combustion record of the boiler, wherein the historical boiler combustion data includes the fuel amount of the fuel burned by the boiler and the steam flow rate of the steam; Step S102: Calculate the characteristic boiler combustion efficiency of the boiler in each of the historical combustion records, wherein the characteristic combustion efficiency P of the boiler in the ath historical combustion record is a =(F a ×L a ) / (S a ×h a )×100%, where F a is the fuel quantity of the fuel burned by the boiler in the ath historical combustion record, H a is the calorific value of the fuel burned by the boiler in the ath historical combustion record, S a is the steam flow rate of the boiler in the ath historical combustion record, h a is the specific enthalpy of the steam of the boiler in the ath historical combustion record; Step S103: acquiring data corresponding to various boiler operating parameters during the boiler combustion process from the historical combustion record of the boiler; Step S104: analyzing the influence of the boiler operating parameters on the boiler combustion state during the boiler combustion process, wherein the specific process of analyzing the influence of the bth item of boiler operating parameters on the boiler combustion state is to obtain the average value of the bth item of boiler operating parameters in each of the historical combustion records, and rank the characteristic boiler combustion efficiency and the average value of the bth item of boiler operating parameters respectively; Step S105: Calculate the characteristic ranking difference between the b-th boiler operating parameter in each historical combustion record and the characteristic boiler combustion efficiency of the boiler, wherein the characteristic ranking difference G between the b-th boiler operating parameter in the c-th historical combustion record and the characteristic boiler combustion efficiency of the boiler is b,c =R(γ c )-R(b c ), where R(γ c ) is represented by the ranking of the characteristic boiler combustion efficiency of the boiler in the cth historical combustion record, R(b c ) is represented by the ranking of the b-th boiler operating parameter in the c-th historical combustion record; Step S106: Calculate the influence value r of the bth boiler operating parameter on the characteristic combustion of the boiler b : Among them, G b,i It is represented by the characteristic ranking difference between the bth boiler operating parameter in the i-th historical combustion record and the characteristic boiler combustion efficiency of the boiler; n is represented by the total number of the historical combustion records of the boiler; Step S107: Setting the first characteristic combustion influence threshold r △,1 , the second characteristic combustion influence threshold r △,2 , where r △,1 >0>r △,2 , when the characteristic combustion influence value r b >r △,1 When the boiler operating parameter b of the boiler is determined to increase, it has a positive effect on the characteristic boiler combustion efficiency. When the characteristic combustion influence value r b <r △,2 When the b-th boiler operating parameter of the boiler increases, it is determined that the b-th boiler operating parameter of the boiler increases, which has a negative effect on the characteristic boiler combustion efficiency; otherwise, it is determined that the b-th boiler operating parameter of the boiler increases, which has no monotonic effect on the characteristic boiler combustion efficiency; Step S108: obtaining several boiler operating parameters that have an impact on the combustion state of the boiler, and recording the several boiler operating parameters as key boiler operating parameters, respectively, obtaining the key boiler operating parameters of the boiler and collecting them to obtain key parameter data of the boiler.

3. The method for optimizing boiler combustion data based on a three-dimensional calculation model according to claim 2 is characterized in that: The step S200 includes: Step S201: acquiring the key parameter data of the boiler, and extracting various key boiler operating parameters of the boiler from the key parameter data; Step S202: Analyze the mutual influence degree between the key boiler operating parameters during the boiler combustion process, wherein the mutual influence degree between the αth key boiler operating parameter and the βth key boiler operating parameter of the boiler is specifically analyzed by calculating the parameter influence degree L of the αth key boiler operating parameter on the βth key boiler operating parameter. α,β : Wherein, n represents the total number of the historical combustion records of the boiler; Y α,i Y is represented by the average value of the αth key boiler operating parameter in the i-th historical combustion record of the boiler; β,i Expressed as the average value of the βth key boiler operating parameter in the ith historical combustion record; Step S203: Set the first parameter influence threshold L1 and the second parameter influence threshold L2. Among them, when L α,β > L1, it is determined that the α-th key boiler operating parameter has a positive influence on the β-th key boiler operating parameter. When L α,β < L2, it is determined that the α-th key boiler operating parameter has a negative influence on the β-th key boiler operating parameter. When <L2 < L α,β < L1, it is determined that the α-th key boiler operating parameter has no influence on the β-th key boiler operating parameter in the boiler; Step S204: obtaining and collecting several key boiler operating parameters that have an impact on the boiler to obtain key parameter data that influence each other.

4. The method for optimizing boiler combustion data based on a three-dimensional calculation model according to claim 3 is characterized in that: The step S300 includes: Step S301: acquiring historical combustion record data of the boiler from the historical combustion record of the boiler, wherein the historical combustion record data includes data corresponding to various environmental parameters and boiler operating parameters during combustion of the boiler; Step S302: constructing a three-dimensional calculation model of the boiler, obtaining key parameter data of the boiler, taking key boiler operating parameters in the key parameter data as input variables of the model, performing parameter setting, and defining a target optimization function of the boiler; Step S303: setting the optimization conditions of the three-dimensional calculation model, and optimizing the three-dimensional calculation model of the boiler in combination with the mutually influencing key parameter data of the boiler. The specific optimization process includes constructing an optimization function V(x; θ) of the boiler, wherein x represents the key boiler operating parameter of the boiler, and θ represents the model parameter to be optimized of the boiler; Step S304: Obtain the key boiler operating parameters of the boiler and the historical values ​​of the objective optimization function at each historical time point, and construct a characteristic objective function U(θ): Wherein, j represents the total number of each historical time point; Q z X is represented by the value of the target optimization function of the boiler at the zth historical time point; z represented as the value of the key boiler operating parameter of the boiler at the zth historical time point; Step S305: Optimize the model parameters in the characteristic objective function U(θ) and calculate the gradient ▽U(θ) of the characteristic objective function U(θ): Update the model parameters: Among them, θ new is the updated model parameter; θ old are the model parameters before updating; Step S306: Repeat step S305. When the characteristic objective function U(θ) is less than a preset characteristic model threshold, stop optimizing the model parameters in the characteristic objective function U(θ), ​​and verify the optimized three-dimensional calculation model to obtain the target three-dimensional calculation model of the boiler.

5. The method for optimizing boiler combustion data based on a three-dimensional calculation model according to claim 4 is characterized in that: The step S400 includes: Step S401: acquiring a target three-dimensional calculation model of the boiler, monitoring the boiler that is performing combustion work in a current cycle, inputting monitoring data into the target three-dimensional calculation model, and acquiring output control data of the target three-dimensional calculation model; Step S402: Based on the control data output by the target three-dimensional calculation model, the boiler operating parameters of the boiler are controlled and adjusted, the boiler operating parameters of the boiler are intelligently adjusted, and the boiler combustion data is optimized and managed.

6. A boiler combustion data optimization management system based on a three-dimensional computing model, used to execute a boiler combustion data optimization management method based on a three-dimensional computing model as claimed in any one of claims 1 to 5, characterized in that: The system includes a key parameter data module, a mutually influencing key parameter data module, a target three-dimensional calculation model module, and an optimization management module; The key parameter data module is used to analyze the influence of the boiler operating parameters on the boiler combustion state to obtain key parameter data; The mutually influencing key parameter data module is used to acquire the key parameter data of the boiler, and analyze the mutual influence degree between the key boiler operating parameters during the boiler combustion process in combination with the historical combustion records of the boiler, to obtain the mutually influencing key parameter data; The target three-dimensional calculation model module is used to optimize and adjust the three-dimensional calculation model in combination with the key parameter data of the boiler and the mutually influencing key parameter data to obtain the target three-dimensional calculation model of the boiler; The optimization management module is used to monitor the boiler in the current cycle, and based on the target three-dimensional calculation model, intelligently adjust the combustion state of the boiler in the current cycle and optimize the management of boiler combustion data.

7. The boiler combustion data optimization management system based on a three-dimensional calculation model according to claim 6 is characterized in that: The key parameter data module includes a characteristic combustion impact value unit and a key parameter data unit; The characteristic combustion influence value unit is used for the characteristic combustion influence value of each boiler operating parameter of the boiler on the boiler; The key parameter data unit is used to acquire and collect the key boiler operating parameters of the boiler to obtain the key parameter data of the boiler.

8. The boiler combustion data optimization management system based on a three-dimensional calculation model according to claim 6 is characterized in that: The mutually influencing key parameter data module includes a parameter influence degree unit and a mutually influencing key parameter data unit; The parameter influence degree unit is used to calculate the parameter influence degree between various key boiler operating parameters of the boiler; The mutually influencing key parameter data unit is used to collect several key boiler operating parameters that have an impact on the boiler to obtain mutually influencing key parameter data.

9. The boiler combustion data optimization management system based on a three-dimensional calculation model according to claim 6 is characterized in that: The target three-dimensional computing model module includes a model building unit and a model optimization unit; The model building unit is used to obtain the historical combustion record data of the boiler from the historical combustion record of the boiler and build a three-dimensional calculation model of the boiler; The model optimization unit is used to optimize and adjust the three-dimensional calculation model, verify the optimized three-dimensional calculation model, and obtain the target three-dimensional calculation model of the boiler.

10. The boiler combustion data optimization management system based on a three-dimensional calculation model according to claim 6, characterized in that: The optimization management module includes an optimization management unit; The optimization management unit is used to monitor the boiler performing combustion in the current cycle, input the monitoring data into the target three-dimensional calculation model, and obtain the control data output by the target three-dimensional calculation model, control and adjust the boiler operating parameters of the boiler, intelligently adjust the boiler operating parameters of the boiler, and optimize the management of boiler combustion data.

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